FN Clarivate Analytics Web of Science VR 1.0 PT J AU Ridsdale, DR Noble, BF AF Ridsdale, D. Reanne Noble, Bram F. TI Assessing sustainable remediation frameworks using sustainability principles SO JOURNAL OF ENVIRONMENTAL MANAGEMENT LA English DT Article DE Remediation; Sustainable remediation frameworks; sustainability principles ID STRATEGIC ENVIRONMENTAL ASSESSMENT; INDICATORS; MANAGEMENT; BEHAVIOR; OPTIONS; TOOLS AB The remediation industry has grown exponentially in recent decades. International organizations of practitioners and remediation experts have developed several frameworks for integrating sustainability into remediation projects; however, there has been limited attention to how sustainability is approached and operationalized in sustainable remediation frameworks and practices or whether sustainability plays any meaningful role at all in sustainable remediation. This paper examines how sustainability is represented in remediation frameworks and the guidance provided for practical application. Seven broad sustainability principles and review criteria are proposed and applied to a sample of six international remediation frameworks. Not all review criteria were equally satisfied and none of the frameworks fully met all criteria; however, the best performing frameworks were those identified as sustainability remediation frameworks. Intra-generational equity was addressed by all frameworks. Integrating social, economic and biophysical components beyond triple-bottom-line indicators was explicitly addressed only by the sustainable remediation frameworks. No frameworks provided principle-or rule-based guidance for dealing with trade-offs in sustainability decisions. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Ridsdale, D. Reanne; Noble, Bram F.] Univ Saskatchewan, Dept Geog & Planning, Saskatoon, SK S7N 5C8, Canada. RP Noble, BF (reprint author), Univ Saskatchewan, Dept Geog & Planning, Saskatoon, SK S7N 5C8, Canada. EM b.noble@usask.ca FU Mitacs Canada; Saskatchewan Research Council FX This research was funded by Mitacs Canada and the Saskatchewan Research Council. We also wish to acknowledge Dr. David Sanscartier, Saskatchewan Research Council, for his valuable input to this research and the constructive feedback of manuscript reviewers. CR Arts J, 2004, ASSESSING IMPACT HDB ASTM International, 2013, E2876 ASTM Bardos P, 2014, REMEDIATION, V25, P23, DOI 10.1002/rem.21412 Bardos P, 2011, REMEDIATION, V21, P77, DOI 10.1002/rem.20283 Bardos RP, 2016, SCI TOTAL ENVIRON, V563, P755, DOI 10.1016/j.scitotenv.2015.12.001 Barkemeyer R., 2015, Environmental Science & Policy, V48, P196, DOI 10.1016/j.envsci.2014.12.021 Beames A, 2014, SCI TOTAL ENVIRON, V470, P954, DOI 10.1016/j.scitotenv.2013.10.044 Bell S., 2008, SUSTAINABILITY INDIC Bjorn A, 2013, J IND ECOL, V17, P321, DOI 10.1111/j.1530-9290.2012.00520.x Bond A, 2012, IMPACT ASSESSMENT AN, V30, P53, DOI DOI 10.1080/14615517.2012.661974 Bond A., 2013, SUSTAINABILITY ASSES Bond AJ, 2011, ENVIRON IMPACT ASSES, V31, P1, DOI 10.1016/j.eiar.2010.01.007 Bowen GA, 2009, QUAL RES J, V9, P27, DOI 10.3316/QRJ0902027 Butler PB, 2011, REMEDIATION, V21, P81, DOI 10.1002/rem.20290 Camenzuli D, 2014, POLAR RES, V33, DOI 10.3402/polar.v33.21522 Cavender-Bares J, 2015, ECOL SOC, V20, DOI 10.5751/ES-06917-200117 CL:AIRE, 2011, SURF UK IND SET SUST CL:AIRE, 2014, SUST MAN PRACT MAN L CL:AIRE, 2010, FRAM ASS SUST SOIL G Cundy AB, 2013, J ENVIRON MANAGE, V129, P283, DOI 10.1016/j.jenvman.2013.07.032 Dalal-Clayton B., 2005, STRATEGIC ENV ASSESS Darnall N, 2014, ORGAN ENVIRON, V27, P319, DOI 10.1177/1086026614562963 Diamond ML, 1999, ENVIRON TOXICOL CHEM, V18, P788, DOI 10.1897/1551-5028(1999)018<0788:LCFFAO>2.3.CO;2 Dimitrov D., 2010, AS PAC INT PERS ACC Doberl G, 2013, ENVIRON SCI POLICY, V25, P207, DOI 10.1016/j.envsci.2012.10.013 Dryzek J. S., 2013, POLITICS EARTH ENV D Ellis DE, 2009, REMEDIATION, V19, P5, DOI 10.1002/rem.20210 Favara P., 2011, REMEDIATION, V21, P38 Flint R. W., 2013, PRACTICE SUSTAINABLE Fortuna ME, 2011, ENVIRON ENG MANAG J, V10, P1987 Gibson R., 2005, SUSTAINABILITY ASSES Gibson R.B., 2006, IMPACT ASSESS PROJ A, V24, P170, DOI DOI 10.3152/147154606781765147 Gibson R. B., 2002, SPECIFICATIONS SUSTA Government of Canada, 2013, FED CONT SIT ACT PLA Government of Canada, 2014, FED CONT SIT PORT FE Government of Western Australia, 2003, HOP FUT W AUSTR STAT Hacking T., 2005, SPEC M INT ASS IMP A Hacking T, 2008, ENVIRON IMPACT ASSES, V28, P73, DOI 10.1016/j.ciar.2007.03.002 Hadley P., 2009, REMEDIATION, V19, P5, DOI DOI 10.1002/REM.20210 Hadley PW, 2015, REMEDIATION, V25, P95, DOI 10.1002/rem.21427 Hardi P., 1997, ASSESSING SUSTAINABL Hodge RA, 2004, EPISODES, V27, P177 Holland KS, 2011, REMEDIATION, V21, P7, DOI 10.1002/rem.20288 Hou DY, 2014, SCI TOTAL ENVIRON, V490, P905, DOI 10.1016/j.scitotenv.2014.05.059 Hou DY, 2014, ENVIRON SCI POLICY, V39, P25, DOI 10.1016/j.envsci.2014.02.003 [IGC (Inuvialuit Game Council) IGC Mackenzie Valley Environmental Impact Review Board Minister of the Environment (Canada)], 2004, ENV IMP ASS TERMS RE Lamorgese L, 2015, RES HANDB IMPACT ASS, P57 Lamorgese L, 2013, ENVIRON IMPACT ASSES, V42, P116, DOI 10.1016/j.eiar.2012.12.004 Mascarenhas A, 2015, J CLEAN PROD, V92, P295, DOI 10.1016/j.jclepro.2015.01.005 Maschewsky W, 2005, ENV JUSTICE SCOTLAND McGregor A, 2004, GEOFORUM, V35, P593, DOI 10.1016/j.geoforum.2004.02.001 McHaina DM, 2001, INT J SURF MIN RECLA, V15, P163, DOI DOI 10.1076/IJSM.15.3.163.3412 Morrison-Saunders A, 2009, IAIA09 IMP ASS HUM W Morrison-Saunders A., 2013, SUSTAINABILITY ASSES, P140 Ness B, 2007, ECOL ECON, V60, P498, DOI 10.1016/j.ecolecon.2006.07.023 NICOLE (Network for Industrially Contaminated Land in Europe), 2013, JOINT POS STAT RISK Noble BF, 2012, IMPACT ASSESS PROJ A, V30, P139, DOI DOI 10.1080/14615517.2012.705076 Noble BF, 2009, ENVIRON IMPACT ASSES, V29, P66, DOI 10.1016/j.eiar.2008.05.004 Owens S., 2002, LAND LIMITS INTERPRE Pinter L, 2012, ECOL INDIC, V17, P20, DOI 10.1016/j.ecolind.2011.07.001 Pires SM, 2015, J CLEAN PROD, V86, P289, DOI 10.1016/j.jclepro.2014.08.002 Pope J, 2004, ENVIRON IMPACT ASSES, V24, P595, DOI 10.1016/j.eiar.2004.03.001 Pope J, 2015, RES HANDB IMPACT ASS, P20 Richter CH, 2015, FUTURES, V67, P40, DOI 10.1016/j.futures.2014.12.002 Rinne J, 2013, ECOL INDIC, V35, P35, DOI 10.1016/j.ecolind.2012.09.023 Schadler S, 2013, LANDSCAPE URBAN PLAN, V111, P34, DOI 10.1016/j.landurbplan.2012.12.002 Sinclair A John, 2009, ENVIRON IMPACT ASSES, V53, P58 Singh RK, 2012, ECOL INDIC, V15, P281, DOI 10.1016/j.ecolind.2011.01.007 The Horinko Group, 2014, RIS FUT GREEN SUST R TUKKER A, 2000, ENVIRON IMPACT ASSES, V20, P435 United States Environmental Protection Agency, 2008, 542R08002 EPA White L, 2013, ENVIRON IMPACT ASSES, V42, P60, DOI 10.1016/j.eiar.2012.10.003 Wisconsin Initiative for Sustainable Remediation and Redevelopment, 2012, GREEN SUST REM MAN P NR 73 TC 7 Z9 7 U1 5 U2 29 PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD PI LONDON PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND SN 0301-4797 EI 1095-8630 J9 J ENVIRON MANAGE JI J. Environ. Manage. PD DEC 15 PY 2016 VL 184 SI SI BP 36 EP 44 DI 10.1016/j.jenvman.2016.09.015 PN 1 PG 9 WC Environmental Sciences SC Environmental Sciences & Ecology GA ED0QP UT WOS:000388547300005 PM 27637806 DA 2019-04-09 ER PT J AU Loiseau, E Saikku, L Antikainen, R Droste, N Hansjurgens, B Pitkanen, K Leskinen, P Kuikman, P Thomsen, M AF Loiseau, Eleonore Saikku, Laura Antikainen, Riina Droste, Nils Hansjuergens, Bernd Pitkanen, Kati Leskinen, Pekka Kuikman, Peter Thomsen, Marianne TI Green economy and related concepts: An overview SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Green economy (GE); Environmental economics; Ecological economics; Sustainability; Substitutability; Trade-offs ID COST-BENEFIT-ANALYSIS; SUSTAINABLE DEVELOPMENT; INDUSTRIAL SYMBIOSIS; GROWTH; REFLECTIONS; STRATEGIES; EXPOSURE; SYSTEMS; EUROPE; ENERGY AB For the last ten years, the notion of a green economy has become increasingly attractive to policy makers. However, green economy covers a lot of diverse concepts and its links with sustainability are not always clear. In this article, we focus on definitions of green economy and related concepts and an evaluation of these concepts against the criterion of strong and weak sustainability. The article serves three purposes: Firstly, we identify and describe diverse theories, concepts, approaches and tools related to a "green economy". Among these are the theories of environmental economics and ecological economics, the concepts and approaches of cleaner production, waste hierarchy, bio-economy, industrial ecology, circular economy, nature-based solutions, and dematerialization through product-servicizing, and tools like life cycle assessment, and cost-benefit analysis. Secondly, we develop a framework that shows the capacity of the green economy concepts, approaches and tools to support the transition towards sustainability. Such a framework can serve as a heuristic to embed diverse concepts and approaches into a green economy framework. Thirdly, we briefly discuss green economy concepts with respect to their impact on strong and weak sustainability. Depending on the different concepts, approaches and tools identified in the green economy framework, different degrees of substitutability and trade-offs between environmental and economic benefits are allowed, and more or less structural changes of our modes of living are required. By discussing the notion of green economy and related concepts, approaches and tools we seek to make a contribution to their definitions and relationships as a prerequisite for operationalizing green economy. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Loiseau, Eleonore] Irstea, UMR Itap, Elsa Res Grp Environm Lifecycle & Sustainabil Ass, 361 Rue JF Breton, F-34196 Montpellier 5, France. [Saikku, Laura; Antikainen, Riina; Pitkanen, Kati; Leskinen, Pekka] Finnish Environm Inst, SYKE, POB 140, FI-00251 Helsinki, Finland. [Droste, Nils; Hansjuergens, Bernd] UFZ Helmholtz Ctr Environm Res, UFZ, Permoserstr 15, D-04318 Leipzig, Germany. [Kuikman, Peter] Wageningen UR, Alterra, Droevendaalsesteeg 4, NL-6708 PB Wageningen, Netherlands. [Thomsen, Marianne] Aarhus Univ, Dept Environm Sci, Res Grp EcoInd Syst Anal, Frederiksborgvej 399,Postboks 358, DK-4000 Roskilde, Denmark. RP Antikainen, R (reprint author), Finnish Environm Inst, SYKE, POB 140, FI-00251 Helsinki, Finland. EM riina.antikainen@ymparisto.fi OI Loiseau, Eleonore/0000-0003-1331-8715; Droste, Nils/0000-0003-4357-9115; Thomsen, Marianne/0000-0003-2453-5141 FU "Green Economy Initiative" by the PEER institutes "Partnership for European Environmental Research" FX The authors appreciate the funding of the "Green Economy Initiative" by the PEER institutes "Partnership for European Environmental Research". CR Allenby B., 2006, Progress in Industrial Ecology, V3, P28, DOI 10.1504/PIE.2006.010039 Ambec S, 2013, REV ENV ECON POLICY, V7, P2, DOI 10.1093/reep/res016 [Anonymous], 2014, RES EFF GREEN EC EU Ayres R. U, 2002, HDB IND ECOLOGY Barbier E, 2011, NAT RESOUR FORUM, V35, P233, DOI 10.1111/j.1477-8947.2011.01397.x Barbier EB, 2012, SCIENCE, V338, P887, DOI 10.1126/science.1227360 Bartl A, 2014, WASTE MANAGE RES, V32, P3, DOI 10.1177/0734242X14541986 Bina O, 2011, ECOL ECON, V70, P2308, DOI 10.1016/j.ecolecon.2011.06.021 Bonaiuti M, 2011, ROUTL STUD ECOL ECON, V11, P1 Borel-Saladin JM, 2013, ENVIRON POLICY GOV, V23, P209, DOI 10.1002/eet.1614 Bringezu S, 2002, HANDBOOK OF INDUSTRIAL ECOLOGY, P288 Chertow MR, 2000, ANNU REV ENERG ENV, V25, P313, DOI 10.1146/annurev.energy.25.1.313 De Bruyn S, 2002, HANDBOOK OF INDUSTRIAL ECOLOGY, P209 Dietz S, 2007, ECOL ECON, V61, P617, DOI 10.1016/j.ecolecon.2006.09.007 Droste N, 2016, J CLEAN PROD, V135, P426, DOI 10.1016/j.jclepro.2016.06.123 Ehrenfeld J. R., 1997, J IND ECOL, V1, P67, DOI DOI 10.1162/JIEC.1997.1.1.67 Ekins P, 2003, ECOL ECON, V44, P165, DOI 10.1016/S0921-8009(02)00272-0 El Kholy O. A., 2002, ENCY GLOBAL ENV CHAN European Commission, 2012, COMM COMM EUR PARL C European. Commission, 2013, BUILD GREEN INFR EUR European Commission, 2013, GREEN INFR GI ENH EU Falagas ME, 2008, FASEB J, V22, P338, DOI 10.1096/fj.07-9492LSF Farley J, 2008, CONSERV BIOL, V22, P1399, DOI 10.1111/j.1523-1739.2008.01090.x Finnveden G, 2009, J ENVIRON MANAGE, V91, P1, DOI 10.1016/j.jenvman.2009.06.018 Fischer-Kowalski M., 2011, DECOUPLING NATURAL R GEORGESCUROEGEN N, 1975, SOUTHERN ECON J, V41, P347, DOI 10.2307/1056148 Guinee JB, 2011, ENVIRON SCI TECHNOL, V45, P90, DOI 10.1021/es101316v Hanley N., 1993, COST BENEFIT ANAL EN Hanley N., 2009, PRICING NATURE COST Hansjurgens B, 2004, TOXICOLOGY, V205, P241, DOI 10.1016/j.tox.2004.06.054 Heijungs R, 2010, ENVIRON CLIM TECHNOL, V4, P42, DOI 10.2478/v10145-010-0016-5 Herring H, 2006, ENERGY, V31, P10, DOI 10.1016/j.energy.2004.04.055 Hill J., 2015, TAKING STOCK IND ECO Hinton J., 2008, IS CIRCULAR EC AMBIT Hoogmartens R, 2014, ENVIRON IMPACT ASSES, V48, P27, DOI 10.1016/j.eiar.2014.05.001 Janicke M, 2012, ENERG POLICY, V48, P13, DOI 10.1016/j.enpol.2012.04.045 Kennet M., 2006, International Journal of Green Economics, V1, P68, DOI 10.1504/IJGE.2006.009338 Kettunen M., 2012, NATURE ITS ROLE TRAN Kitzes J, 2013, RESOURCES-BASEL, V2, P489, DOI 10.3390/resources2040489 Koskela S, 2011, ECOL ECON, V70, P2341, DOI 10.1016/j.ecolecon.2011.07.012 Le Blanc D, 2011, NAT RESOUR FORUM, V35, P151, DOI 10.1111/j.1477-8947.2011.01398.x Lee J, 2014, ENVIRON TECHNOL INNO, V1-2, P46, DOI 10.1016/j.eti.2014.10.002 Lee J, 2014, ENVIRON INT, V73, P312, DOI 10.1016/j.envint.2014.08.003 Lee J, 2014, ENVIRON INT, V63, P77, DOI 10.1016/j.envint.2013.10.020 Leontief W, 1936, REV EC STAT, VXVIII Lifset R, 2002, HANDBOOK OF INDUSTRIAL ECOLOGY, P3 Lombardi DR, 2012, J IND ECOL, V16, P28, DOI 10.1111/j.1530-9290.2011.00444.x Lorek S, 2014, J CLEAN PROD, V63, P33, DOI 10.1016/j.jclepro.2013.08.045 Macombe C, 2013, SOCIAL LCAS SOCIOECO Mathews JA, 2012, FUTURES, V44, P761, DOI 10.1016/j.futures.2012.06.002 Mathews JA, 2011, J IND ECOL, V15, P435, DOI 10.1111/j.1530-9290.2011.00332.x Mazza L., 2012, GREEN EC EUROPEAN UN Mazza L, 2011, GREEN INFRASTRUCTURE McCormick K, 2013, SUSTAINABILITY-BASEL, V5, P2589, DOI 10.3390/su5062589 Mont OK, 2002, J CLEAN PROD, V10, P237, DOI 10.1016/S0959-6526(01)00039-7 Navarro LM, 2012, ECOSYSTEMS, V15, P900, DOI 10.1007/s10021-012-9558-7 Nellemann C, 2010, DEAD PLANET LIVING P Neumayer E., 2003, WEAK VERSUS STRONG S Norris C. B., 2012, LIFE CYCLE ASSESSMEN, P433 OECD, 2009, BIOEC 2030 DES POL A OECD, 2011, GREEN GROWTH MON PRO Pearce D, 1994, EC VALUE BIODIVERSIT Pearce D. W., 1992, Environmental Values, V1, P3, DOI 10.3197/096327192776680179 Pearce DW, 1989, BLUEPRINT GREEN EC Pearce W., 1993, ECOL ECON, V8, P103, DOI DOI 10.1016/0921-8009(93)90039-9 Pelenc J., 2015, ECOL ECON, V112, P36 Pfeiffer F., 2001, BUS STRATEG ENVIRON, V10, P161 Pigou A. C, 1920, EC WELFARE Pitkanen K., 2016, J CLEAN PRO IN PRESS Pizzol M, 2014, J CLEAN PROD, V84, P475, DOI 10.1016/j.jclepro.2013.12.080 PORTER ME, 1995, HARVARD BUS REV, V73, P120 Rennings K, 1997, ECOL ECON, V20, P25, DOI 10.1016/S0921-8009(96)00108-5 Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Roy R, 2000, FUTURES, V32, P289, DOI 10.1016/S0016-3287(99)00098-1 Schmid O, 2012, BIO-BASED APPL ECON, V1, P47 Sen A, 2000, J LEGAL STUD, V29, P931, DOI 10.1086/468100 Sesana MM, 2013, BUILD ENVIRON, V67, P211, DOI 10.1016/j.buildenv.2013.05.022 Stahel W. R., 1997, IND GREEN GAME IMPLI, P91 STAHEL WR, 1989, LIMITS CERTAINTY FAC Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855 Sterr T, 2004, J CLEAN PROD, V12, P947, DOI 10.1016/j.jclepro.2004.02.029 TEEB, 2010, EC EC BIOD EC EC FDN The Ellen MacArthur Foundation, 2012, CIRC EC EC BUS RAT A Tukker A, 2006, J CLEAN PROD, V14, P1552, DOI 10.1016/j.jclepro.2006.01.022 Tukker A, 2015, J CLEAN PROD, V97, P76, DOI 10.1016/j.jclepro.2013.11.049 Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001 UNEP, 2016, SUST CONS PROD BRANC UNEP, 2011, GREEN EC PATHW SUST United Nations Environment Programme (Unep), 2015, US PROD SERV SYST EN van den Bergh JCJM, 2001, REG ENVIRON CHANGE, V2, P13, DOI 10.1007/s101130000020 Vatn A., 2007, I ENV Wernick IK, 1996, DAEDALUS, V125, P171 Williams CC, 2004, GEOGR J, V170, P99, DOI 10.1111/j.0016-7398.2004.00111.x WILLIAMSON OE, 1994, P WORLD BANK ANN C D, P171 World Bank, 2012, INCL GREEN GROWTH PA, P171 World Commission on Environment and Development, 1987, OUR COMMON FUTURE NR 96 TC 43 Z9 45 U1 23 U2 181 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD DEC 15 PY 2016 VL 139 BP 361 EP 371 DI 10.1016/j.jclepro.2016.08.024 PG 11 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA EA9VA UT WOS:000386991600033 DA 2019-04-09 ER PT J AU Lankoski, L AF Lankoski, Leena TI Alternative conceptions of sustainability in a business context SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Sustainability; Corporate sustainability; Sustainability conception; Essentially contested concept ID CORPORATE SOCIAL-RESPONSIBILITY; QUALITATIVE CONTENT-ANALYSIS; STAKEHOLDER THEORY; DEFINED CONCEPT; TRADE-OFFS; MANAGEMENT; FRAMEWORK; ORGANIZATIONS; PERFORMANCE; CHALLENGES AB Even when restricting our observations to the business context, it is evident that the concept of sustainability is interpreted in quite different ways, which hinders the achievement of sustainability transitions. Approaching sustainability as an 'essentially contested concept', this paper unpacks it into three constituent, management-relevant dimensions scope, substitutability, and goal orientation and demonstrates how different conceptions within these dimensions result in hugely different, often incompatible, yet legitimate interpretations of sustainability, with significant consequences for management and with significant differences in their outcome promise. The end result is a novel typology for categorizing conceptions of sustainability into eight basic types. The theoretical value added of the analysis lies in the fact that it improves clarity around a key concept, adds structure to debates on sustainability in a business context, and is able to build a common frame of reference without having to select a single common definition for sustainability. The findings can help with strategic, operative, and communicational problems that practicing managers face with regard to sustainability. Researchers and managers are encouraged to be explicit about the conceptions of sustainability they themselves adhere to and show awareness of those of others. This will, in turn, improve future research on business sustainability and future management of sustainable businesses alike, thus enhancing our ability to contribute to the building of a more sustainable society. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Lankoski, Leena] Univ Helsinki, Dept Econ & Management, POB 27, FIN-00014 Helsinki, Finland. [Lankoski, Leena] INSEAD Social Innovat Ctr, Fontainebleau, France. RP Lankoski, L (reprint author), Univ Helsinki, Dept Econ & Management, POB 27, FIN-00014 Helsinki, Finland. EM leena.lankoski@helsinki.fi CR Acosta-Alba I, 2011, SUSTAINABILITY-BASEL, V3, P424, DOI 10.3390/su3020424 Amini M, 2014, J CLEAN PROD, V76, P12, DOI 10.1016/j.jclepro.2014.02.016 Ariansen P., 1999, SUSTAINABLE DEV GOAL Atkinson G, 2000, J ENVIRON PLANN MAN, V43, P235, DOI DOI 10.1080/09640560010694 Ayres RU, 2001, ENVIRON ETHICS, V23, P155, DOI 10.5840/enviroethics200123225 Banerjee SB, 2003, ORGAN STUD, V24, P143, DOI 10.1177/0170840603024001341 Barbier E, 2011, NAT RESOUR FORUM, V35, P233, DOI 10.1111/j.1477-8947.2011.01397.x Baumgartner RJ, 2011, J CLEAN PROD, V19, P783, DOI 10.1016/j.jclepro.2011.01.005 Bjorn A, 2013, J IND ECOL, V17, P321, DOI 10.1111/j.1530-9290.2012.00520.x Carew AL, 2008, J CLEAN PROD, V16, P105, DOI 10.1016/j.jclepro.2006.11.004 Cho JY, 2014, QUAL REP, V19 Christen M, 2012, SUSTAIN DEV, V20, P400, DOI 10.1002/sd.518 Collier D, 2006, J POLIT IDEOL, V11, P211, DOI 10.1080/13569310600923782 Connelly S, 2007, LOCAL ENV, V12, P259, DOI DOI 10.1080/13549830601183289 Corley KG, 2011, ACAD MANAGE REV, V36, P12, DOI 10.5465/amr.2009.0486 Costanza R, 1995, ECOL ECON, V15, P193, DOI 10.1016/0921-8009(95)00048-8 Daly E., 1996, BEYOND GROWTH DesJardins J, 2016, BUS ETHICS Q, V26, P117, DOI 10.1017/beq.2016.12 Dietz S, 2007, ECOL ECON, V61, P617, DOI 10.1016/j.ecolecon.2006.09.007 Dobson A., 1996, ENVIRON POLIT, V5, P401, DOI DOI 10.1080/09644019608414280 Dyllick T, 2016, ORGAN ENVIRON, V29, P156, DOI 10.1177/1086026615575176 Dyllick Thomas, 2002, BUSINESS STRATEGY EN, V11, P130, DOI DOI 10.1002/BSE.323 Elkington J, 1997, CANNIBALS FORKS TRIP Engert S, 2016, J CLEAN PROD, V112, P2833, DOI 10.1016/j.jclepro.2015.08.031 Faber N., 2005, J ENV ASSESSMENT POL, V7, P1, DOI DOI 10.1142/S1464333205001955 Figge F, 2002, BUS STRATEG ENVIRON, V11, P269, DOI [10.1002/bse.339, DOI 10.1002/BSE.339] Freeman R., 1984, STRATEGIC MANAGEMENT Fricker A, 1998, FUTURES, V30, P367, DOI 10.1016/S0016-3287(98)00041-X GALLIE WB, 1956, P ARISTOTELIAN SOC, V56, P167 Gatti L, 2014, SUSTAIN SCI, V9, P89, DOI 10.1007/s11625-013-0233-5 GATTO M, 1995, ECOL APPL, V5, P1181 Graneheim UH, 2004, NURS EDUC TODAY, V24, P105, DOI 10.1016/j.nedt.2003.10.001 Grunert KG, 2014, FOOD POLICY, V44, P177, DOI 10.1016/j.foodpol.2013.12.001 Hahn T, 2015, J BUS ETHICS, V127, P297, DOI 10.1007/s10551-014-2047-5 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Haigh N, 2014, ORGAN ENVIRON, V27, P223, DOI 10.1177/1086026614545345 Hannon A, 2011, J CLEAN PROD, V19, P877, DOI 10.1016/j.jclepro.2010.11.003 Hartman LP, 2007, J BUS ETHICS, V74, P373, DOI 10.1007/s10551-007-9513-2 Hediger W., 2010, J SOCIO-ECON, V39, P518, DOI DOI 10.1016/J.SOCEC.2010.02.001 Heikkurinen P, 2013, J CLEAN PROD, V43, P191, DOI 10.1016/j.jclepro.2012.12.021 Hielscher S, 2014, SYST RES BEHAV SCI, V31, P708, DOI 10.1002/sres.2305 Horisch J, 2014, ORGAN ENVIRON, V27, P328, DOI 10.1177/1086026614535786 Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687 Inigo E.A., 2016, UNDERSTANDING SUSTAI Jacobs Michael, 1999, FAIRNESS FUTURITY JENNINGS PD, 1995, ACAD MANAGE REV, V20, P1015, DOI 10.2307/258964 Kajikawa Y, 2014, SUSTAIN SCI, V9, P431, DOI 10.1007/s11625-014-0244-x Kajikawa Y, 2007, SUSTAIN SCI, V2, P221, DOI 10.1007/s11625-007-0027-8 Ketola T, 2010, CORP SOC RESP ENV MA, V17, P320, DOI 10.1002/csr.219 Kuhlman T., 2010, SUSTAINABILITY, V2, P3436, DOI DOI 10.3390/SU2113436 Lankoski L, 2016, BUS ETHICS Q, V26, P227, DOI 10.1017/beq.2016.28 Linnenluecke MK, 2009, BUS STRATEG ENVIRON, V18, P432, DOI 10.1002/bse.609 Lockett A, 2006, J MANAGE STUD, V43, P115, DOI 10.1111/j.1467-6486.2006.00585.x Lozano R, 2008, J CLEAN PROD, V16, P1838, DOI 10.1016/j.jclepro.2008.02.008 Lozano R, 2015, CORP SOC RESP ENV MA, V22, P32, DOI 10.1002/csr.1325 Lozano R, 2013, J CLEAN PROD, V51, P57, DOI 10.1016/j.jclepro.2013.01.039 Magee L, 2012, APPL RES QUAL LIFE, V7, P239, DOI 10.1007/s11482-012-9166-x Mainardes EW, 2011, MANAGE DECIS, V49, P226, DOI 10.1108/00251741111109133 Maletic M, 2014, J CLEAN PROD, V79, P182, DOI 10.1016/j.jclepro.2014.05.045 Marshall JD, 2005, ENVIRON SCI TECHNOL, V39, P673, DOI 10.1021/es040394k MEBRATU D, 1998, ENVIRON IMPACT ASSES, V18, P493 Michalopoulos T, 2013, FOOD POLICY, V40, P97, DOI 10.1016/j.foodpol.2012.12.010 Miles S, 2012, J BUS ETHICS, V108, P285, DOI 10.1007/s10551-011-1090-8 Milne MJ, 2013, J BUS ETHICS, V118, P13, DOI 10.1007/s10551-012-1543-8 Montiel I, 2008, ORGAN ENVIRON, V21, P245, DOI 10.1177/1086026608321329 Montiel I, 2014, ORGAN ENVIRON, V27, P113, DOI 10.1177/1086026614526413 Okoye A, 2009, J BUS ETHICS, V89, P613, DOI 10.1007/s10551-008-0021-9 Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133 Pearce DW, 1989, BLUEPRINT GREEN EC Phillis YA, 2001, ECOL ECON, V37, P435, DOI 10.1016/S0921-8009(00)00290-1 Redclift M, 2005, SUSTAIN DEV, V13, P212, DOI 10.1002/sd.281 REDCLIFT M, 1992, GEOFORUM, V23, P395, DOI 10.1016/0016-7185(92)90050-E Schaltegger S, 2011, BUS STRATEG ENVIRON, V20, P222, DOI 10.1002/bse.682 Schrettle S, 2014, INT J PROD ECON, V147, P73, DOI 10.1016/j.ijpe.2013.02.030 Smith KT, 2013, BUS PROF COMMUN Q, V76, P155, DOI 10.1177/1080569912471185 STARIK M, 1995, ACAD MANAGE REV, V20, P908, DOI 10.2307/258960 Starik M, 2013, ORGAN ENVIRON, V26, P7, DOI 10.1177/1086026612474958 Svensson Goran, 2015, Management of Environmental Quality: An International Journal, V26, P195, DOI 10.1108/MEQ-09-2013-0099 Valente M, 2012, ORGAN STUD, V33, P563, DOI 10.1177/0170840612443455 Van der Byl CA, 2015, ORGAN ENVIRON, V28, P54, DOI 10.1177/1086026615575047 van Marrewijk M, 2003, J BUS ETHICS, V44, P95, DOI 10.1023/A:1023331212247 Wagner B, 2014, EUR BUS REV, V26, P340, DOI 10.1108/EBR-12-2013-0146 Wagner M, 2015, J BUS RES, V68, P1306, DOI 10.1016/j.jbusres.2014.11.051 Welch C, 2011, J INT BUS STUD, V42, P740, DOI 10.1057/jibs.2010.55 Whiteman G, 2013, J MANAGE STUD, V50, P307, DOI 10.1111/j.1467-6486.2012.01073.x Wiedmann TO, 2009, J IND ECOL, V13, P361, DOI 10.1111/j.1530-9290.2009.00125.x WIERSUM KF, 1995, ENVIRON MANAGE, V19, P321, DOI 10.1007/BF02471975 NR 87 TC 12 Z9 12 U1 1 U2 37 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD DEC 15 PY 2016 VL 139 BP 847 EP 857 DI 10.1016/j.jclepro.2016.08.087 PG 11 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA EA9VA UT WOS:000386991600077 DA 2019-04-09 ER PT J AU Schlor, H Fischer, W Hake, JF AF Schloer, Holger Fischer, Wolfgang Hake, Juergen-Friedrich TI Analysing Gordon's trade-off by adapting Thurow's approach of pure public good to the German energy sector SO ENERGY SUSTAINABILITY AND SOCIETY LA English DT Article DE Gordon's trade-off; Public goods; Atkinson index; Sustainable energy system ID DISPERSION; INCOME; INEQUALITY AB Background: We analyse Gordon's trade-off by adapting Thurow's approach of pure public good using the example of the German energy sector which is in a transition process to a low-carbon sustainable energy system (Energiewende). The income distribution and the energy expenditures of households are interpreted as public goods. Their distribution is measured with the Atkinson index, which determines how the quality of life, as measured in income and energy expenditures, is distributed among society. Methods: We use the disaggregated consumption and income for 39.409 million German households. Our socioeconomic analysis focuses on six household types. Results: Our analysis shows that among German households, energy expenditures are more equally distributed than private consumption in general and income. The rather (but by far not completely) equal distribution of energy expenditures confirms Smil's finding that energy is the universal currency (Sen, On Economic Inequality, 1973) for people's welfare and can be seen as an indicator of the basic needs of households irrespective of household income. Nevertheless, low-income households have to spend a higher share of their income on energy to avoid energy poverty. Further price increases could lead to an unequal distribution and rising energy poverty. Conclusions: The socio-economic conditions of society and its energy sector have to be addressed in a transition processes. Energy poverty constitutes an infringement of the sustainability concept. If society does not take distributional effects into account, the transition process itself could be jeopardized. C1 [Schloer, Holger; Fischer, Wolfgang; Hake, Juergen-Friedrich] Forschungszentrum Julich, Inst Energy & Climate Res, IEK STE Syst Anal & Technol Evaluat, Julich, Germany. RP Schlor, H (reprint author), Forschungszentrum Julich, Inst Energy & Climate Res, IEK STE Syst Anal & Technol Evaluat, Julich, Germany. EM h.schloer@fz-juelich.de CR Acemoglu D., 2012, WHY NATIONS FAIL ORI Acemoglu D, 2013, EC PERSPECT, V2, P173, DOI [10.1257/jep.27.2.173, DOI 10.1257/JEP.27.2.173] Atkinson A. B., 1983, EC INEQUALITY ATKINSON AB, 1970, J ECON THEORY, V2, P244, DOI 10.1016/0022-0531(70)90039-6 Barr N., 1993, EC WELFARE STATE Bazilian M, 2014, ENERGY RES SOC SCI, V1, P217, DOI 10.1016/j.erss.2014.03.006 Bell Daniel, 1976, CULTURAL CONTRADICTI Bouzarovski S, 2012, ENERG POLICY, V49, P76, DOI 10.1016/j.enpol.2012.01.033 Braunberger G, 2013, FAZIT WIRTSCHAFTSBLO Brummerhoff D., 2007, FINANZWISSENSCHAFT BUCHANAN JM, 1965, ECONOMICA, V32, P1, DOI 10.2307/2552442 Bundesamt S, 2011, EINKOMMENS VERBRAUCH Edmond C, 2009, J MONETARY ECON, V56, P791, DOI 10.1016/j.jmoneco.2009.06.006 German Federal Ministry of Economics and Technology (Bmwi), 2012, GERM NEW EN POL Gordon K, 1975, EQUALITY EFFICIENCY Hauser R, 1996, WOHLFAHRTSMESSUNG AU, P13 Jung S, 2001, PRIVATER VERBRAUCH D Kaul I., 1999, GLOBAL PUBLIC GOODS METWALLY MM, 1973, ECON DEV CULT CHANGE, V22, P135, DOI 10.1086/450693 Mulas-Granados C, 2008, RES POLICY, V37, P836, DOI 10.1016/j.respol.2008.03.002 Park J, 2006, J MACROECON, V28, P520, DOI 10.1016/j.jmacro.2004.09.004 Pickett Kate, 2010, SPIRIT LEVEL Ramos HM, 2003, STAT PROBABIL LETT, V61, P123, DOI 10.1016/S0167-7152(02)00341-3 Rawls J, 1971, THEORY JUSTICE Samuelson P. A, 2010, ECONOMICS Samuelson PA, 1954, REV ECON STAT, V36, P387, DOI 10.2307/1925895 Schlor H, 2013, APPL ENERG, V112, P1493, DOI 10.1016/j.apenergy.2013.04.020 Schlor H, 2012, APPL ENERG, V97, P135, DOI 10.1016/j.apenergy.2012.01.036 Schlor H, 2012, J EUR EC, V11, P356 Scotchmer S., 2008, NEW PALGRAVE DICT EC Sen Amartya, 1973, EC INEQUALITY Smil V., 1994, ENERGY WORLD HIST Statistisches Bundesamt, 2013, FACHSERIE WIRTSCHAFT, V15 Statistisches Bundesamt (Federal Statistical Office), 2005, FACHSERIE WIRTSCHA 1, V15 Statistisches Bundesamt (Federal Statistical Office), 2005, FACHSERIE WIRTSCHAFT, V15 Stiglitz J., 2012, PRICE OF INEQUALITY Stiglitz JE, 2012, 1 PERCENTS PROBLEM THEIL H, 1986, ECON LETT, V22, P391, DOI 10.1016/0165-1765(86)90104-7 THUROW LC, 1971, Q J ECON, V85, P327, DOI 10.2307/1880707 NR 39 TC 0 Z9 0 U1 0 U2 1 PU SPRINGER HEIDELBERG PI HEIDELBERG PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY SN 2192-0567 J9 ENERGY SUSTAIN SOC JI Energy Sustain. Soc. PD DEC 5 PY 2016 VL 6 AR 34 DI 10.1186/s13705-016-0100-1 PG 14 WC GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY; Energy & Fuels SC Science & Technology - Other Topics; Energy & Fuels GA ER0DW UT WOS:000398458200001 OA DOAJ Gold DA 2019-04-09 ER PT J AU Wam, HK Bunnefeld, N Clarke, N Hofstad, O AF Wam, Hilde Karine Bunnefeld, Nils Clarke, Nicholas Hofstad, Ole TI Conflicting interests of ecosystem services: Multi-criteria modelling and indirect evaluation of trade-offs between monetary and non-monetary measures SO ECOSYSTEM SERVICES LA English DT Article DE Bioeconomy; Bio-socio-economy; Logging; MCDA; Multi-use; Optimization ID MANAGEMENT STRATEGY EVALUATION; MOOSE ALCES-ALCES; FOREST MANAGEMENT; RENEWABLE RESOURCES; NATURAL-RESOURCES; SELECTION FORESTS; MULTIPLE CRITERIA; MATRIX APPROACH; CONSERVATION; SUSTAINABILITY AB Ecosystems provide services for many stakeholder groups, often with a conflict of interests that hampers sustainability. Core to these conflicts is the challenge of trading-off monetary and non-monetary measures. Using the boreal forest as a case, we present a socio-ecologically integrated trade-off model for partly competing services (wood, game hunting, livestock grazing). Drawing on multi-criteria analyses (MCA), we found that wood production unequivocally yielded the highest net present value, but led to a substantial reduction in the performance of hunting and grazing. By imposing multiuse conditions set as minimum performance of the less profitable services, we evaluated the opportunity costs of multiuse without directly pricing non-commodities. We also quantified normalized indices of realized performance potential to evaluate the cost of multiuse with a single, joint metric. Both approaches consistently showed that accepting a rather small loss in one service may secure large gains in other services. By democratically providing a combined monetary and non-monetary evaluation, our approach should facilitate broader acceptance for the decisional metrics among stakeholders. It thereby has the potential to mitigate conflicts, feeding into the larger scheme of adaptive management. C1 [Wam, Hilde Karine; Clarke, Nicholas] Norwegian Inst Bioecon Res, N-1431 As, Norway. [Bunnefeld, Nils] Univ Stirling, Fac Nat Sci, Biol & Environm Sci, Stirling FK9 4LA, Scotland. [Hofstad, Ole] Norwegian Univ Life Sci, Dept Ecol & Nat Resource Management, N-1432 As, Norway. RP Wam, HK (reprint author), Norwegian Inst Bioecon Res, N-1431 As, Norway. EM hilde.wam@nibio.no RI Clarke, Nicholas/C-7056-2008 OI Clarke, Nicholas/0000-0002-1588-9661 FU Research Council of Norway [215647, 233640]; NIBIO strategy-group "Flerbrukshensyn i okosystemtjenester fra utmark" [10308] FX The Research Council of Norway funded the study through the projects "Intensified harvesting of forests - implications for enterprises related to wild and domestic ungulates" (#215647) and "Securing triple bottom line outcomes from bioenergy development and innovation in rural Norway" (#233640). The study was also funded through the NIBIO strategy-group "Flerbrukshensyn i okosystemtjenester fra utmark" (#10308). CR Adamowicz WL, 2004, AUST J AGR RESOUR EC, V48, P419, DOI 10.1111/j.1467-8489.2004.00258.x Alajoutsijarvi K, 2005, SCAND ECON HIST REV, V53, P66, DOI 10.1080/03585522.2005.10414240 Arancibia F, 2013, TECHNOL SOC, V35, P79, DOI 10.1016/j.techsoc.2013.01.008 Argent R. M., 2009, COMPONENTS ADAPTIVE Baskent EZ, 2011, ENVIRON MODEL ASSESS, V16, P145, DOI 10.1007/s10666-010-9238-y Berge E., 2002, FORSTWISSENSCHAFTLIC, V27, P14 Bioeconomy Council, 2013, KEY ISS PAP BIOEC CO Bowles S, 2002, ECON J, V112, pF419, DOI 10.1111/1468-0297.00077 Bunnefeld N, 2014, P NATL ACAD SCI USA, V111, P12964, DOI 10.1073/pnas.1413571111 Bunnefeld N, 2011, TRENDS ECOL EVOL, V26, P441, DOI 10.1016/j.tree.2011.05.003 Cumming GS, 2011, SPATIAL RESILIENCE IN SOCIAL-ECOLOGICAL SYSTEMS, P1, DOI 10.1007/978-94-007-0307-0 de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006 Dennis RA, 2005, HUM ECOL, V33, P465, DOI 10.1007/s10745-005-5156-z Diaz-Balteiro L, 2008, FOREST ECOL MANAG, V255, P3222, DOI 10.1016/j.foreco.2008.01.038 Drud A, 2006, CONOPT Duncker PS, 2012, ECOL SOC, V17, DOI 10.5751/ES-05066-170450 Fischer J, 2007, TRENDS ECOL EVOL, V22, P621, DOI 10.1016/j.tree.2007.08.016 Follo G, 2011, SCAND J FOREST RES, V26, P385, DOI 10.1080/02827581.2011.566574 Fulton EA, 2011, FISH FISH, V12, P2, DOI 10.1111/j.1467-2979.2010.00371.x Hajkowicz, 2008, SUSTAIN SCI PRACT PO, V4, P17 HARDIN G, 1968, SCIENCE, V162, P1243 Hjeljord O, 2014, J FORESTRY RES, V25, P941, DOI 10.1007/s11676-014-0487-5 Hotte L, 2001, J DEV ECON, V66, P1, DOI 10.1016/S0304-3878(01)00153-5 Jacobsen C, 2014, THESIS Kangas A, 2001, SILVA FENN, V35, P215, DOI 10.14214/sf.597 Kangas J, 2005, FOREST ECOL MANAG, V207, P133, DOI 10.1016/j.foreco.2004.10.023 Kyllonen S, 2006, SILVA FENN, V40, P687, DOI 10.14214/sf.323 Leopold Aldo, 1949, SAND COUNTY ALMANAC LESLIE PH, 1945, BIOMETRIKA, V33, P183, DOI DOI 10.1093/BI0MET/33.3.183 Lindenmayer D, 2012, LAND USE INTENSIFICATION: EFFECTS ON AGRICULTURE, BIODIVERSITY AND ECOLOGICAL PROCESSES, P1 MacKerron G, 2012, J ECON SURV, V26, P705, DOI 10.1111/j.1467-6419.2010.00672.x Mapstone BD, 2008, FISH RES, V94, P315, DOI 10.1016/j.fishres.2008.07.013 Maxwell SL, 2015, SCIENCE, V347, P1075, DOI 10.1126/science.aaa1451 McKibben Bill, 2007, DEEP EC WEALTH COMMU Milner-Gulland EJ, 2011, P NATL ACAD SCI USA, V108, P1741, DOI 10.1073/pnas.1010533108 OECD, 2009, BIOEC 2030 DES POL A Ostrom E, 2007, P NATL ACAD SCI USA, V104, P15181, DOI 10.1073/pnas.0702288104 Pareto V, 1906, MANUALE EC POLITICA Phalan B, 2011, SCIENCE, V333, P1289, DOI 10.1126/science.1208742 Philibert C, 2003, DISCOUNTING FUTURE Poff Boris, 2010, Journal of the Arizona-Nevada Academy of Science, V42, P44, DOI 10.2181/036.042.0107 Redpath S. M., 2015, CONFLICTS CONSERVATI Redpath SM, 2013, TRENDS ECOL EVOL, V28, P100, DOI 10.1016/j.tree.2012.08.021 Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014 Rodriguez JP, 2006, ECOL SOC, V11 Saether BE, 2004, WILDLIFE BIOL, V10, P51 Saether BE, 2003, J WILDLIFE MANAGE, V67, P455, DOI 10.2307/3802703 Schluter M, 2012, NAT RESOUR MODEL, V25, P219, DOI 10.1111/j.1939-7445.2011.00108.x Schluter M, 2014, ECOL SOC, V19, DOI 10.5751/ES-05782-190136 Schuhmann PW, 2015, ECOSYST SERV, V11, P56, DOI 10.1016/j.ecoser.2014.07.013 Solberg E. J., 2006, 125 NINA, P1 Soltani A, 2014, ECOL ECON, V106, P174, DOI 10.1016/j.ecolecon.2014.07.020 Speed JDM, 2013, FOREST ECOL MANAG, V289, P289, DOI 10.1016/j.foreco.2012.10.051 Tamiz M, 1998, EUR J OPER RES, V111, P569, DOI 10.1016/S0377-2217(97)00317-2 Tjosvold D., 1991, EMPLOYEE RESPONSIBIL, V4, P13, DOI DOI 10.1007/BF01390435 Tveite B., 1977, REP NORW FOR RES I, V33, P1 USHER MB, 1966, J APPL ECOL, V3, P355, DOI 10.2307/2401258 USHER MB, 1969, J APPL ECOL, V6, P347, DOI 10.2307/2401548 VINCENT JR, 1993, LAND ECON, V69, P370, DOI 10.2307/3146454 Wam HK, 2010, EUR J WILDLIFE RES, V56, P745, DOI 10.1007/s10344-010-0370-4 Wam HK, 2007, ECOL ECON, V62, P45, DOI 10.1016/j.ecolecon.2007.01.001 Wam HK, 2010, CAN J ZOOL, V88, P1179, DOI 10.1139/Z10-084 Wam HK, 2010, ECOL ECON, V69, P675, DOI 10.1016/j.ecolecon.2009.12.005 White M., 2009, NUMERAIRE ILLUSION F ZEKRI S, 1993, J ENVIRON MANAGE, V37, P281, DOI 10.1006/jema.1993.1022 Zeleny M., 1974, Computers & Operations Research, V1, P479 NR 66 TC 11 Z9 11 U1 5 U2 18 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2212-0416 J9 ECOSYST SERV JI Ecosyst. Serv. PD DEC PY 2016 VL 22 BP 280 EP 288 DI 10.1016/j.ecoser.2016.10.003 PN B PG 9 WC Ecology; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA EV1XP UT WOS:000401544900008 OA Green Published DA 2019-04-09 ER PT J AU Jacobs, S Dendoncker, N Martin-Lopez, B Barton, DN Gomez-Baggethun, E Boeraeve, F McGrath, FL Vierikkoh, K Geneletti, D Sevecke, KJ Pipart, N Primmer, E Mederly, P Schmidt, S Aragao, A Baral, H Bark, RH Briceno, T Brogna, D Cabral, P De Vreese, R Liquete, C Mueller, H Peh, KSH Phelan, A Rincon, AR Rogers, SH Turkelboom, F Van Reeth, W van Zanten, BT Wam, HK Washbourne, CL AF Jacobs, Sander Dendoncker, Nicolas Martin-Lopez, Berta Barton, David Nicholas Gomez-Baggethun, Erik Boeraeve, Fanny McGrath, Francesca L. Vierikkoh, Kati Geneletti, Davide Sevecke, Katharina J. Pipart, Nathalie Primmer, Eeva Mederly, Peter Schmidt, Stefan Aragao, Alexandra Baral, Himlal Bark, Rosalind H. Briceno, Tania Brogna, Delphine Cabral, Pedro De Vreese, Rik Liquete, Camino Mueller, Hannah Peh, Kelvin S. -H. Phelan, Anna Rincon, Alexander R. Rogers, Shannon H. Turkelboom, Francis Van Reeth, Wouter van Zanten, Boris T. Wam, Hilde Karine Washbourne, Carla-Leanne TI A new valuation school: Integrating diverse values of nature in resource and land use decisions SO ECOSYSTEM SERVICES LA English DT Article DE Integrated valuation; Ecosystem services; Intrinsic value ID ECOSYSTEM SERVICES; ECOLOGICAL ECONOMICS; SOCIAL PREFERENCES; POLITICAL ECOLOGY; CONSERVATION; LANDSCAPES; MATTERS; SCIENCE AB We are increasingly confronted with severe social and economic impacts of environmental degradation all over the world. From a valuation perspective, environmental problems and conflicts originate from trade-offs between values. The urgency and importance to integrate nature's diverse values in decisions and actions stand out more than ever. Valuation, in its broad sense of 'assigning importance', is inherently part of most decisions on natural resource and land use. Scholars from different traditions -while moving from heuristic interdisciplinary debate to applied transdisciplinary science- now acknowledge the need for combining multiple disciplines and methods to represent the diverse set of values of nature. This growing group of scientists and practitioners share the ambition to explore how combinations of ecological, socio-cultural and economic valuation tools can support real-life resource and land use decision-making. The current sustainability challenges and the ineffectiveness of single-value approaches to offer relief demonstrate that continuing along a single path is no option. We advocate for the adherence of a plural valuation culture and its establishment as a common practice, by contesting and complementing ineffective and discriminatory single-value approaches. In policy and decision contexts with a willingness to improve sustainability, integrated valuation approaches can be blended in existing processes, whereas in contexts of power asymmetries or environmental conflicts, integrated valuation can promote the inclusion of diverse values through action research and support the struggle for social and environmental justice. The special issue and this editorial synthesis paper bring together lessons from pioneer case studies and research papers, synthesizing main challenges and setting out priorities for the years to come for the field of integrated valuation. C1 [Jacobs, Sander; Turkelboom, Francis] Res Inst Nat & Forest INBO, Res Grp Nat & Soc, Kliniekstr 25, B-1070 Brussels, Belgium. [Dendoncker, Nicolas; Pipart, Nathalie; Brogna, Delphine] Univ Namur, Dept Geog, 61 Rue Bruxelles, B-5000 Namur, Belgium. [Martin-Lopez, Berta] Leuphana Univ, Fac Sustainabil, Inst Ethics & Transdisciplinary Sustainabil Res, Scharnhorststr 1, D-21335 Luneburg, Germany. [Gomez-Baggethun, Erik] Norwegian Univ Life Sci NMBU, Dept Int Environm & Dev Studies, As, Norway. [Barton, David Nicholas; Gomez-Baggethun, Erik] Norwegian Inst Nat Res NINA, Gaustadalleen 21, N-0349 Oslo, Norway. [Boeraeve, Fanny] Univ Liege, Gembloux Agro Bio Tech, TERRA BIOSE Biodiversite & Paysages, Passage Deportes 2, B-5030 Gembloux, Belgium. [McGrath, Francesca L.] Natl Univ Singapore, Dept Biol Sci, 14 Sci Dr 4, Singapore 117543, Singapore. [Vierikkoh, Kati] Univ Helsinki, Dept Environm Sci, POB 65, FIN-00014 Helsinki, Finland. [Geneletti, Davide] Univ Trento, Dept Civil Environm & Mech Engn, Via Mesiano 77, I-38123 Trento, Italy. [Sevecke, Katharina J.] ESCP Europe Business Sch Berlin, Chair Environm & Econ, Heubnerweg 8-10, D-14059 Berlin, Germany. [Primmer, Eeva] Finnish Environm Inst, Environm Governance Unit, Box 140, Helsinki 00251, Finland. [Mederly, Peter] Constantine Philosopher Univ Nitra, Fac Sci, Dept Ecol & Environm Sci, Nitra, Slovakia. [Schmidt, Stefan] UFZ, Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, D-04318 Leipzig, Germany. [Schmidt, Stefan] Martin Luther Univ Halle Wittenberg, Inst Geosci & Geog, D-06099 Halle, Saale, Germany. [Aragao, Alexandra] Univ Coimbra, Fac Law, Coimbra, Portugal. [Baral, Himlal] Ctr Int Forestry Res CIFOR, Bogor, Indonesia. [Baral, Himlal] Univ Melbourne, Dept Forest & Ecosyst Sci, Parkville, Vic 3010, Australia. [Bark, Rosalind H.] Univ Leeds, Leeds LS2 9JT, W Yorkshire, England. [Briceno, Tania] Earth Econ, 107 N Tacoma Ave, Tacoma, WA 98403 USA. [Cabral, Pedro] Univ Nova Lisboa, NOVA IMS, P-1070312 Lisbon, Portugal. [De Vreese, Rik] Vrije Univ Brussel, Publ Hlth Dept, Brussels, Belgium. [Liquete, Camino] European Commiss Joint Res Ctr JRC, Via Enrico Fermi 2749, I-21027 Ispra, Italy. [Mueller, Hannah] Univ Waikato, Fac Sci & Engn, Private Bag 3105, Hamilton 3240, New Zealand. [Peh, Kelvin S. -H.] Univ Southampton, Ctr Biol Sci, Univ Rd, Southampton SO17 1BJ, Hants, England. [Peh, Kelvin S. -H.] Univ Cambridge, Dept Zool, Conservat Sci Grp, Downing St, Cambridge CB2 3EJ, England. [Phelan, Anna] Univ Queensland, Business Sch, St Lucia, Qld 4072, Australia. [Rincon, Alexander R.] Alexander von Humboldt Inst Res Biol Resources, Bogota, Colombia. [Rogers, Shannon H.] Plymouth State Univ, Ctr Environm, Plymouth, NH USA. [Van Reeth, Wouter] Res Inst Nat & Forest INBO, Team Nat Report & Advice Coordinat, Kliniekstr 25, B-1070 Brussels, Belgium. [van Zanten, Boris T.] Vrije Univ Amsterdam, Dept Earth Sci, Environm Geog Grp, Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands. [Wam, Hilde Karine] Norwegian Inst Bioecon Res, POB 115, N-1431 As, Norway. [Washbourne, Carla-Leanne] UCL, Dept Sci Technol Engn & Publ Policy, 36-38 Fitzroy Sq, London W1T 6EY, England. RP Jacobs, S (reprint author), Res Inst Nat & Forest INBO, Res Grp Nat & Soc, Kliniekstr 25, B-1070 Brussels, Belgium. EM sander.jacobs@inbo.be RI Martin-Lopez, Berta/R-9397-2017; Geneletti, Davide/D-5266-2014; Cabral, Pedro/B-2616-2010; Mederly, Peter/E-7650-2018; Peh, Kelvin/C-3408-2013 OI Martin-Lopez, Berta/0000-0003-2622-0135; Geneletti, Davide/0000-0002-5528-3365; Cabral, Pedro/0000-0001-8622-6008; Mederly, Peter/0000-0001-7101-4336; Jacobs, Sander/0000-0003-4674-4817; Vierikko, Kati/0000-0002-6690-4016; Washbourne, Carla-Leanne/0000-0001-7818-918X; Brogna, Delphine/0000-0002-4354-4177; Peh, Kelvin/0000-0002-2921-1341; Turkelboom, Francis/0000-0002-6317-9808; Schmidt, Stefan/0000-0002-1804-0671 FU European Commission's Seventh Framework Programme (OpenNESS project) [308428] FX We thank all the authors, co-authors and reviewers of the special issue contributions, the special session presentations and discussions, the members of the ESP thematic working group on integrated valuation, and the OpenNESS FP7 project team, especially the people within the integrated valuation working package. Several researchers involved in this paper and special issue received funding from the European Commission's Seventh Framework Programme (OpenNESS project, grant agreement no. 308428). We also thank the many people that inspired us by papers, discussions or by example, like Leon Braat, Eszter Kelemen, Ignacio Palomo, Unai Pascual, Joachim Spangenberg, Mette termansen, Graciela Rush and many others. CR Aragao A, 2016, ECOSYST SERV, V22, P221, DOI 10.1016/j.ecoser.2016.09.012 Armiero M., 2014, HIST ENV LOCAL STRUG, P208 Baral H, 2016, ECOSYST SERV, V22, P260, DOI 10.1016/j.ecoser.2016.10.002 Bark RH, 2016, ECOSYST SERV, V22, P381, DOI 10.1016/j.ecoser.2016.08.002 Barton D. N., 2016, HDB APPL SYSTEMS SCI Baveye PC, 2013, ECOL ECON, V95, P231, DOI 10.1016/j.ecolecon.2013.09.009 Beder S, 2011, ENVIRON CONSERV, V38, P140, DOI 10.1017/S037689291100021X Bellet L., 2015, P 8 C EC SERV PARTN Berbes-Blazquez M, 2012, ENVIRON MANAGE, V49, P862, DOI 10.1007/s00267-012-9822-9 Berg CE, 2016, ECOSYST SERV, V22, P309, DOI 10.1016/j.ecoser.2016.12.001 Berrouet L., 2016, ECOSYST SERV B, V22B, P297 Bieling C, 2014, ECOL ECON, V105, P19, DOI 10.1016/j.ecolecon.2014.05.013 Blaikie P, 2012, GEOFORUM, V43, P231, DOI 10.1016/j.geoforum.2011.08.010 Buizer M, 2016, ENVIRON SCI POLICY, V62, P7, DOI 10.1016/j.envsci.2016.03.003 Cabral P, 2016, ECOSYST SERV, V22, P318, DOI 10.1016/j.ecoser.2016.08.005 Chan KMA, 2016, P NATL ACAD SCI USA, V113, P1462, DOI 10.1073/pnas.1525002113 De Vreese R, 2016, ECOSYST SERV, V22, P269, DOI 10.1016/j.ecoser.2016.06.008 Dendoncker N., 2013, ECOSYSTEM SERVICES G, pxix Dias Carrilho C., 2015, P 8 C EC SERV PARTN Diaz S, 2015, PLOS BIOL, V13, DOI 10.1371/journal.pbio.1002040 Fanny B, 2015, BIODIVERS CONSERV, V24, P187, DOI 10.1007/s10531-014-0796-1 Faria C, 2016, GENDER PLACE CULT, V23, P79, DOI 10.1080/0966369X.2014.958065 Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014 Garcia-Llorente M, 2016, J ARID ENVIRON, V124, P13, DOI 10.1016/j.jaridenv.2015.07.004 Garcia-Llorente M, 2012, ENVIRON SCI POLICY, V19-20, P136, DOI 10.1016/j.envsci.2012.01.006 Gomez-Baggethun E., 2016, ROUTLEDGE HDB ECOSYS, P99 Gomez-Baggethun E., 2014, EU FP7 OPENNESS PROJ Gomez-Baggethun E, 2015, HANDBOOK OF ECOLOGICAL ECONOMICS, P260 Gomez-Baggethun E, 2010, ECOL ECON, V69, P1209, DOI 10.1016/j.ecolecon.2009.11.007 Hansjurgens B, 2016, ECOSYST SERV, V22, P228, DOI 10.1016/j.ecoser.2016.12.002 Heras M, 2016, ECOL SOC, V21, DOI 10.5751/ES-08317-210214 Heras M, 2016, SOC NATUR RESOUR, V29, P948, DOI 10.1080/08941920.2015.1095375 Higuera D, 2013, REG ENVIRON CHANGE, V13, P861, DOI 10.1007/s10113-012-0379-1 Iniesta-Arandia I., 2016, AMBIO IN PRESS Iniesta-Arandia I, 2014, ECOL ECON, V108, P36, DOI 10.1016/j.ecolecon.2014.09.028 IPBES Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services, 2015, IPBES4INF13 Jacobs S., 2015, P 8 C EC SERV PARTN Jacobs S, 2016, ECOL INDIC, V61, P715, DOI 10.1016/j.ecolind.2015.10.023 Jarosz L, 2004, POLIT GEOGR, V23, P917, DOI 10.1016/j.polgeo.2004.05.014 Jerico-Daminello C., 2015, P 8 C EC SERV PARTN Kelemen E., 2015, PRELIMINARY GUIDELIN Klain SC, 2014, ECOL ECON, V107, P310, DOI 10.1016/j.ecolecon.2014.09.003 KOBAYASHI A, 1994, PROF GEOGR, V46, P73, DOI 10.1111/j.0033-0124.1994.00073.x Kobayashi A., 2003, GENDER PLACE CULT, V10, P345, DOI DOI 10.1080/0966369032000153313 Kopperoinen L., 2015, P 8 C EC SERV PARTN La Notte A, 2015, ECOL INDIC, V48, P292, DOI 10.1016/j.ecolind.2014.08.006 Lara D., 2015, P 8 C EC SERV PARTN Limb M., 2001, QUALITATIVE METHODOL Liquete C, 2016, ECOSYST SERV, V22, P392, DOI 10.1016/j.ecoser.2016.09.011 Liu S, 2010, ANN NY ACAD SCI, V1185, P54, DOI 10.1111/j.1749-6632.2009.05167.x Martin-Lopez B, 2014, ECOL INDIC, V37, P220, DOI 10.1016/j.ecolind.2013.03.003 Martinez-Alier J, 1998, ECOL ECON, V26, P277, DOI 10.1016/S0921-8009(97)00120-1 Martinez-Alier J., 2002, ENV POOR Martinez-Alier J, 2016, J PEASANT STUD, V43, P731, DOI 10.1080/03066150.2016.1141198 McGrath F. L., 2015, P 8 C EC SERV PARTN Mederly P., 2015, P 8 C EC SERV PARTN Milcu AI, 2014, LAND USE POLICY, V41, P408, DOI 10.1016/j.landusepol.2014.06.019 Montes C., 2014, ECOSYSTEMS BIODIVERS Mueller H, 2016, ECOSYST SERV, V22, P370, DOI 10.1016/j.ecoser.2016.02.037 NEA, 2011, UK NAT EC ASS UND NA Pandeya B, 2016, ECOSYST SERV, V22, P250, DOI 10.1016/j.ecoser.2016.10.015 Pascual U., 2016, CURRENT O UNPUP 0710 Peh KSH, 2016, ECOSYST SERV, V22, P359, DOI 10.1016/j.ecoser.2016.05.003 Phelan A, 2016, ECOSYST SERV, V22, P348, DOI 10.1016/j.ecoser.2016.11.006 Pipart N., 2015, P 8 C EC SERV PARTN Popa F, 2015, FUTURES, V65, P45, DOI 10.1016/j.futures.2014.02.002 Potschin M., 2016, ROUTLEDGE HDB ECOSYS, P125 Potschin MB, 2011, PROG PHYS GEOG, V35, P575, DOI 10.1177/0309133311423172 Rockstrom J, 2009, ECOL SOC, V14 Saarikoski H, 2016, ECOSYST SERV, V22, P238, DOI 10.1016/j.ecoser.2016.10.014 Schroder SA, 2016, ECOSYST SERV, V22, P328, DOI 10.1016/j.ecoser.2016.08.006 Seppelt R, 2011, J APPL ECOL, V48, P630, DOI 10.1111/j.1365-2664.2010.01952.x Sevecke K. J, 2015, P 8 C EC SERV PARTN Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855 Turnhout E, 2013, SCI PUBL POLICY, V40, P354, DOI 10.1093/scipol/scs114 van Zanten BT, 2016, ECOSYST SERV, V22, P289, DOI 10.1016/j.ecoser.2016.03.003 Vatn A, 2009, ECOL ECON, V68, P2207, DOI 10.1016/j.ecolecon.2009.04.005 Wam HK, 2016, ECOSYST SERV, V22, P280, DOI 10.1016/j.ecoser.2016.10.003 NR 78 TC 66 Z9 69 U1 7 U2 44 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2212-0416 J9 ECOSYST SERV JI Ecosyst. Serv. PD DEC PY 2016 VL 22 BP 213 EP 220 DI 10.1016/j.ecoser.2016.11.007 PN B PG 8 WC Ecology; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA EV1XP UT WOS:000401544900001 OA Green Published, Other Gold HC Y HP N DA 2019-04-09 ER PT J AU Saarikoski, H Mustajoki, J Barton, DN Geneletti, D Langemeyer, J Gomez-Baggethun, E Marttunen, M Antunes, P Keune, H Santos, R AF Saarikoski, Heli Mustajoki, Jyri Barton, David N. Geneletti, Davide Langemeyer, Johannes Gomez-Baggethun, Erik Marttunen, Mika Antunes, Paula Keune, Hans Santos, Rui TI Multi-Criteria Decision Analysis and Cost-Benefit Analysis: Comparing alternative frameworks for integrated valuation of ecosystem services SO ECOSYSTEM SERVICES LA English DT Article DE Ecosystem services; Multi-Criteria Decision Analysis; Cost-Benefit Analysis; Integrated valuation; Non-monetary valuation ID GROWTH FOREST CONFLICT; SOCIAL VALUES; TRADE-OFFS; MANAGEMENT; IMPACT; SUPPORT; WATER; SUSTAINABILITY; MULTIATTRIBUTE; PARTICIPATION AB Multi-Criteria Decision Analysis (MCDA) methods has been promoted as an alternative approach to monetary economic valuation of ecosystem services in Cost-Benefit Analysis framework (CBA). We discuss the potential of MCDA in providing a framework for integrated valuation of ecosystem services. We conclude that MCDA does in general perform better than CBA and associated monetary valuation techniques in several aspects that are essential in ecosystem service valuation. These include the ability of a valuation method to account for multiple dimensions of well-being, including ecological and economic as well as cultural and moral aspects of a policy or management problem and to facilitate open and transparent public debate on the pros and cons of alternative courses of action, including the distribution of gains and losses across beneficiaries of ecosystem services. The capacity of MCDA to articulate values related to ecosystem services depends on individual methods used in the MCDA process. More importantly, it depends of the ways in which the process is organized and facilitated. However, MCDA cannot provide representative information of the values of wider population. Further empirical and theoretical research is needed on the potential of hybrid methodologies to combine monetary valuation and MCDA in fruitful ways. C1 [Saarikoski, Heli; Mustajoki, Jyri; Marttunen, Mika] Finnish Environm Inst, POB 140, FI-00251 Helsinki, Finland. [Barton, David N.; Gomez-Baggethun, Erik] Norwegian Inst Nat Res NINA, Gaustadalleen 21, N-0349 Oslo, Norway. [Geneletti, Davide] Univ Trento, Via Mesiano 77, I-38123 Trento, Italy. [Langemeyer, Johannes] Univ Autonoma Barcelona, Placa Civ, Bellaterra 08193, Spain. [Gomez-Baggethun, Erik] Norwegian Univ Life Sci NMBU, Dept Int Environm & Dev Studies Noragr, N-1432 As, Norway. [Antunes, Paula; Santos, Rui] Univ Nova Lisboa, Fac Ciencias & Tecnol, CENSE Ctr Environm & Sustainabil Res, P-2829516 Caparica, Portugal. [Keune, Hans] Res Inst Nat & Forest, Kliniekstr 25, B-1070 Brussels, Belgium. RP Saarikoski, H (reprint author), Finnish Environm Inst, POB 140, FI-00251 Helsinki, Finland. EM heli.saarikoski@ymparisto.fi; jyri.mustajoki@ymparisto.fi; david.barton@nina.no; davide.geneletti@unitn.it; johannes.langemeyer@uab.cat; Erik.Gomez@nina.no; mika.marttunen@ymparisto.fi; mpa@fct.unl.pt; hans.keune@inbo.be; rfs@fct.unl.pt RI Geneletti, Davide/D-5266-2014; Marttunen, Mika/G-3134-2019; Antunes, Paula/F-9145-2011; Santos, Rui/Q-6837-2016 OI Geneletti, Davide/0000-0002-5528-3365; Marttunen, Mika/0000-0001-9494-4181; Antunes, Paula/0000-0002-9461-2328; Keune, Hans/0000-0002-1531-944X; Santos, Rui/0000-0003-2829-6475; Mustajoki, Jyri/0000-0003-3520-9173 FU OpenNESS project (Operationalisation of Natural Capital and Ecosystem Services: From Concepts to Real-world Applications), - European Union Seventh Framework Programme [FP7-ENV.2012.6.2-1, 308428]; Academy of Finland [275772] FX This work was supported by the OpenNESS project (Operationalisation of Natural Capital and Ecosystem Services: From Concepts to Real-world Applications), funded from the European Union Seventh Framework Programme (FP7-ENV.2012.6.2-1) under Grant agreement no. 308428. Heli Saarikoski and Jyri Mustajoki also acknowledge the financial support of the Academy of Finland (Project 275772). CR Aldred J, 2000, ECOL ECON, V34, P217, DOI 10.1016/S0921-8009(00)00159-2 Allen KE, 2016, ECOSYST SERV, V18, P78, DOI 10.1016/j.ecoser.2016.02.002 Ananda J, 2009, ECOL ECON, V68, P2535, DOI 10.1016/j.ecolecon.2009.05.010 Antunes P, 2011, INT J AGR SUSTAIN, V9, P334, DOI 10.1080/14735903.2011.582358 Bana E Costa CA, 2002, EUR J OPER RES, V138, P380, DOI 10.1016/S0377-2217(01)00253-3 Barton D. N., 2015, 1114 NINA Belton V, 2002, MULTIPLE CRITERIA DE Benhabib S., 1996, DEMOCRACY DIFFERENCE, P67 Boardman A., 2011, COST BENEFIT ANAL CO Bohman J., 1996, PUBLIC DELIBERATION Bostedt G, 2010, ECOL ECON, V69, P651, DOI 10.1016/j.ecolecon.2009.10.002 Catrinu-Renstrom M. D., 2013, A7339 TR Chan KMA, 2012, ECOL ECON, V74, P8, DOI 10.1016/j.ecolecon.2011.11.011 Davidson MD, 2013, ECOL ECON, V95, P171, DOI 10.1016/j.ecolecon.2013.09.002 de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006 de Groot R, 2012, ECOSYST SERV, V1, P50, DOI 10.1016/j.ecoser.2012.07.005 Dixon J. A., 1986, EC VALUATION TECHNIQ EC European Commission, 2008, EC EC BIOD INT REP Farley J, 2012, ECOSYST SERV, V1, P40, DOI 10.1016/j.ecoser.2012.07.002 Feldman A., 1987, WELFARE EC NEW PALGR Forsyth GG, 2012, J ENVIRON MANAGE, V103, P51, DOI 10.1016/j.jenvman.2012.01.034 Gamper CD, 2007, ECOL ECON, V62, P298, DOI 10.1016/j.ecolecon.2007.01.010 Garmendia E, 2012, ECOL ECON, V84, P110, DOI 10.1016/j.ecolecon.2012.09.004 Garmendia E, 2010, ECOL ECON, V69, P1712, DOI 10.1016/j.ecolecon.2010.03.027 Geneletti D., 2007, J ENVIRON MANAGE, V83, P98 Geneletti D, 2008, LANDSCAPE URBAN PLAN, V84, P252, DOI 10.1016/j.landurbplan.2007.08.005 Geneletti D, 2015, RES HANDB IMPACT ASS, P235 Geneletti D, 2013, ENVIRON IMPACT ASSES, V40, P25, DOI 10.1016/j.eiar.2012.12.003 Getzner M., 2005, NEW APPROACHES VALUI, P23 Gomez-Baggethun E, 2014, STATE ART REPORT INT, V7, P1 Gomez-Baggethun E., 2015, ECOL EC Gomez-Baggethun E, 2015, HDB ECOLOGICAL EC Gomez-Baggethun E, 2011, PROG PHYS GEOG, V35, P613, DOI 10.1177/0309133311421708 Gregory R, 1997, ECOL ECON, V21, P175, DOI 10.1016/S0921-8009(96)00104-8 Gregory RS, 2000, LAND ECON, V76, P151, DOI 10.2307/3147222 Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112 Guitouni A, 1998, EUR J OPER RES, V109, P501, DOI 10.1016/S0377-2217(98)00073-3 Hanley N, 2001, J ECON SURV, V15, P435, DOI 10.1111/1467-6419.00145 Hanley N, 2001, ENVIRON PLANN C, V19, P103, DOI 10.1068/c3s Harsanyi JC, 1955, J POLIT ECON, V63, P309, DOI 10.1086/257678 Hattam C, 2015, ECOL ECON, V120, P126, DOI 10.1016/j.ecolecon.2015.10.011 Hockley N, 2014, ENVIRON PLANN C, V32, P283, DOI 10.1068/c1384j Horwitz P., 2016, HDB BIODIVERSITY ECO, P62, DOI [10.4337/9781783478996, DOI 10.4337/9781783478996] Huang IB, 2011, SCI TOTAL ENVIRON, V409, P3578, DOI 10.1016/j.scitotenv.2011.06.022 Jeanloz S, 2016, ECOSYST SERV, V18, P45, DOI 10.1016/j.ecoser.2016.01.006 Johnston RJ, 2015, ECON NON-MARK GOOD, V14, P1, DOI 10.1007/978-94-017-9930-0 Joubert AR, 1997, ECOL ECON, V22, P123, DOI 10.1016/S0921-8009(97)00573-9 Kabisch N, 2015, LAND USE POLICY, V42, P557, DOI 10.1016/j.landusepol.2014.09.005 KAHNEMAN D, 1992, J ENVIRON ECON MANAG, V22, P57, DOI 10.1016/0095-0696(92)90019-S Kallis G, 2015, ECOL ECON, V112, P170, DOI 10.1016/j.ecolecon.2014.12.013 Kangas AS, 2010, FOREST SCI, V56, P558 Kareiva P, 2011, NATURAL CAPITAL: THEORY & PRACTICE OF MAPPING ECOSYSTEM SERVICES, P1, DOI 10.1093/acprof:oso/9780199588992.001.0001 Keat R., 1997, VALUING NATURE EC ET, P32 Keeney R. L., 1976, DECISIONS MULTIPLE O Keisler Jeffrey M., 2014, Environment Systems & Decisions, V34, P3, DOI 10.1007/s10669-013-9439-4 Kenter JO, 2015, ECOL ECON, V111, P86, DOI 10.1016/j.ecolecon.2015.01.006 Kenter JO, 2011, GLOBAL ENVIRON CHANG, V21, P505, DOI 10.1016/j.gloenvcha.2011.01.001 Kenyon W, 2001, FOREST POLICY ECON, V3, P69, DOI 10.1016/S1389-9341(01)00055-7 Kenyon W, 2007, ECOL ECON, V64, P70, DOI 10.1016/j.ecolecon.2007.06.011 Keune H., 2014, ECOSYST SERV, P167 Kiker GA, 2005, INTEGR ENVIRON ASSES, V1, P95, DOI 10.1897/IEAM_2004a-015.1 Kumar P., 2010, EC ECOSYSTEMS BIODIV Langemeyer J, 2016, ENVIRON SCI POLICY, V62, P45, DOI 10.1016/j.envsci.2016.02.013 Lehtoranta V, 2013, J ENVIRON ECON POLIC, V2, P148, DOI 10.1080/21606544.2013.764615 Lele S, 2013, ECOL ECON, V91, P98, DOI 10.1016/j.ecolecon.2013.03.023 MARTINEZALIER J, 1987, ECOLOGICAL EC Marttunen M, 1995, EUR J OPER RES, V87, P551, DOI 10.1016/0377-2217(95)00229-4 Marttunen M, 2008, ENVIRON MANAGE, V42, P1026, DOI 10.1007/s00267-008-9200-9 Marttunen M, 2015, EURO J DECIS PROCESS, V3, P187, DOI 10.1007/s40070-013-0016-3 Mendoza GA, 2006, FOREST ECOL MANAG, V230, P1, DOI 10.1016/j.foreco.2006.03.023 Milcu AI, 2013, ECOL SOC, V18, DOI 10.5751/ES-05790-180344 Montibeller G, 2015, RISK ANAL, V35, P1230, DOI 10.1111/risa.12360 Montis A.d., 2005, ALTERNATIVES ENV VAL, P99 Munda G, 2006, LAND USE POLICY, V23, P86, DOI 10.1016/j.landusepol.2004.08.012 Munda G, 2004, EUR J OPER RES, V158, P662, DOI 10.1016/S0377-2217(03)00369-2 Munda G, 2008, OPERATION RES DECISI Munda G, 1995, MULTIPLE CRITERIA EV Munda G, 2008, SOCIAL MULTICRITERIA Mustajoki J, 2000, INFOR, V38, P208 Newton AC, 2012, J APPL ECOL, V49, P571, DOI 10.1111/j.1365-2664.2012.02140.x O'Neill J., 2003, VALUING NATURE EC ET, P75 Oikonomou V, 2011, ENVIRON MANAGE, V47, P77, DOI 10.1007/s00267-010-9575-2 Papamichail KN, 2009, DECISION BEHAV ANAL Pascual U, 2014, BIOSCIENCE, V64, P1027, DOI 10.1093/biosci/biu146 Pearce D, 2006, COST BENEFIT ANAL EN Pearce D.W., 1981, SOCIAL APPRAISAL PRO Pohl RF, 2004, COGNITIVE ILLUSIONS: A HANDBOOK ON FALLACIES AND BIASES IN THINKING, JUDGEMENT AND MEMORY, P1 Proctor W, 2006, ENVIRON PLANN C, V24, P169, DOI 10.1068/c22s Raymond CM, 2014, ECOL ECON, V107, P145, DOI 10.1016/j.ecolecon.2014.07.033 Retief F, 2013, IMPACT ASSESS PROJ A, V31, P13, DOI 10.1080/14615517.2013.768007 Saarikoski H, 2013, NAT CULT, V8, P53, DOI 10.3167/nc.2013.080104 Saarikoski H, 2013, LAND USE POLICY, V32, P329, DOI 10.1016/j.landusepol.2012.11.003 Saaty T. L, 1980, ANAL HIERARCHY PROCE SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I Sagoff M, 1998, ECOL ECON, V24, P213, DOI 10.1016/S0921-8009(97)00144-4 Salminen P, 1998, EUR J OPER RES, V104, P485, DOI 10.1016/S0377-2217(96)00370-0 Sandel M. J., 2012, WHAT MONEY CANT BUY Sanon S, 2012, J ENVIRON MANAGE, V111, P159, DOI 10.1016/j.jenvman.2012.06.008 Sarkki S., 2010, J NATURAL RESOURCES, V2, P281, DOI DOI 10.1080/19390459.2010.487991 Smith Graham, 2003, DELIBERATIVE DEMOCRA Spangenberg J. H., 2001, INT J SUST DEV WORLD, V4, P184 Spangenberg JH, 2010, ECOL COMPLEX, V7, P327, DOI 10.1016/j.ecocom.2010.04.007 Spash C., 2005, ALTERNATIVES ENV VAL, P1 Spash C., 2001, 5 NORD ENV RES C U A Spash CL, 2008, LAND ECON, V84, P469, DOI 10.3368/le.84.3.469 Spash CL, 2007, ECOL ECON, V63, P690, DOI 10.1016/j.ecolecon.2007.02.014 Springael J., 2009, WHY DONT WE KISS CON Stagl S, 2006, LAND USE POLICY, V23, P53, DOI 10.1016/j.landusepol.2004.08.007 Stirling A, 2006, LAND USE POLICY, V23, P95, DOI 10.1016/j.landusepol.2004.08.010 Stirling A, 1997, VALUING NATURE EC ET, P186 ten Brink P., 2011, EC ECOSYSTEMS BIODIV Turner K., 2016, ROUTLEDGE HDB ECOSYS, P289 van den Hove S, 2006, LAND USE POLICY, V23, P10, DOI 10.1016/j.landusepol.2004.09.001 Vatn A, 2009, ECOL ECON, V68, P2207, DOI 10.1016/j.ecolecon.2009.04.005 Vatn Arild, 2005, I ENV Venkatachalam L, 2004, ENVIRON IMPACT ASSES, V24, P89, DOI 10.1016/S0195-9255(03)00138-0 WEBER M, 1988, MANAGE SCI, V34, P431, DOI 10.1287/mnsc.34.4.431 Wegner G, 2011, GLOBAL ENVIRON CHANG, V21, P492, DOI 10.1016/j.gloenvcha.2010.12.008 Wilson MA, 2002, ECOL ECON, V41, P431, DOI 10.1016/S0921-8009(02)00092-7 NR 119 TC 24 Z9 24 U1 7 U2 47 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2212-0416 J9 ECOSYST SERV JI Ecosyst. Serv. PD DEC PY 2016 VL 22 BP 238 EP 249 DI 10.1016/j.ecoser.2016.10.014 PN B PG 12 WC Ecology; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA EV1XP UT WOS:000401544900004 DA 2019-04-09 ER PT J AU Cai, JL Yin, H Varis, O AF Cai, Jialiang Yin, He Varis, Olli TI Impacts of industrial transition on water use intensity and energy-related carbon intensity in China: A spatio-temporal analysis during 2003-2012 SO APPLIED ENERGY LA English DT Article DE Industrial transition; Water use intensity; Energy-related carbon intensity; CO2 emissions; Policy-making; China ID CO2 EMISSIONS; SECURITY; POLICY; CHALLENGES; NEXUS; FOOTPRINT; CLIMATE; QUALITY; TREND; TESTS AB China faces a complicated puzzle in balancing the country's trade-offs among water and energy security, economic competitiveness, and environmental sustainability. It is therefore of prime importance to comprehend China's water and energy security under the effect of its economic structural changes. Analyses of this issue still remain few and far between, and a comprehensive picture has not been available that would help understand the recent evolution of China's economic structure as well as its spatial features and links to water and energy security, and policy-making. Consequently, we addressed these information gaps by performing an integrated and quantitative spatio-temporal analysis of the impacts of China's industrial transition on water use intensity and energy-related carbon intensity. Those two factors are national indicators for policy-making targets of its water and energy security. Primary industry appeared to dominate the water use intensity although its relative share decreased, and the water use intensity of primary industry continued to be far higher than that of secondary and tertiary industries. In contrast, secondary industry dominated the total energy-related carbon intensity at both national and provincial scales. Besides, the total water use intensity and energy-related carbon intensity had a significant positive correlation. (C) 2016 The Author(s). Published by Elsevier Ltd. C1 [Cai, Jialiang; Varis, Olli] Aalto Univ, Dept Built Environm, Water & Dev Res Grp, POB 15200, Espoo 00076, Finland. [Yin, He] Univ Wisconsin, Dept Forest & Wildlife Ecol, Madison, WI 53706 USA. RP Cai, JL (reprint author), Aalto Univ, Dept Built Environm, Water & Dev Res Grp, POB 15200, Espoo 00076, Finland. EM jialiang.cai@aalto.fi OI Cai, Jialiang/0000-0002-9381-3160 FU Aalto University FX This study was funded by Aalto University. Special thanks go to Dr. Joseph Guillaume for his proofreading. The thorough and insightful comments of editors and anonymous reviewers are greatly appreciated. CR Ang BW, 2015, RENEW SUST ENERG REV, V42, P1077, DOI 10.1016/j.rser.2014.10.064 [Anonymous], 2013, CHIN STAT YB 2013 Bakker K, 2012, SCIENCE, V337, P914, DOI 10.1126/science.1226337 Bambawale MJ, 2011, APPL ENERG, V88, P1949, DOI 10.1016/j.apenergy.2010.12.016 Bouza-Deano R, 2008, J HYDROL, V361, P227, DOI 10.1016/j.jhydrol.2008.07.048 Center Compilation and Translation Bureau, 2011, 12 5 YEAR PLAN NAT E Central Committee of the Communist Party of China and State Council of China, 2011, DEC ACC REF DEV WAT Central Compilation & Translation Bureau, 2006, 11 5 YEAR PLAN NAT E Chen B., APPL ENERGY Chen B, APPL ENERGY Chen L, 2015, J CLEAN PROD, V103, P49, DOI 10.1016/j.jclepro.2014.09.025 Gilbert R. O., 1987, STAT METHODS ENV POL Gocic M, 2013, GLOBAL PLANET CHANGE, V100, P172, DOI 10.1016/j.gloplacha.2012.10.014 Gong P, 2011, SCIENCE, V331, P1264, DOI 10.1126/science.331.6022.1264-b HE DM, 2014, APPL ECON, V51, P1159, DOI DOI 10.1111/1365-2664.12298 HIRSCH RM, 1982, WATER RESOUR RES, V18, P107, DOI 10.1029/WR018i001p00107 Huang WL, APPL ENERGY Jiang Y, 2015, ENVIRON SCI POLICY, V54, P106, DOI 10.1016/j.envsci.2015.06.006 Kendall M., 1975, RANK CORRELATION MET Li X, 2012, ENERG POLICY, V45, P440, DOI 10.1016/j.enpol.2012.02.054 Liu JG, 2012, SCIENCE, V337, P649, DOI 10.1126/science.1219471 Liu JG, 2013, GLOBAL ENVIRON CHANG, V23, P633, DOI 10.1016/j.gloenvcha.2013.02.002 Liu L, 2015, TECHNOL FORECAST SOC, V94, P318, DOI 10.1016/j.techfore.2014.11.004 Luukkanen J, 2015, TECHNOL FORECAST SOC, V94, P303, DOI 10.1016/j.techfore.2014.10.016 Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187 Ministry of Water Resources China National Bureau of Statistics, 2013, B 1 NAT CENS WAT National Bureau of Statistics of China, 2007, CHIN STAT YB 2007 National Bureau of Statistics of China, 2013, CHIN EN STAT YB 2013 National Bureau of Statistics of China, 2011, CHIN STAT YB 2011 National Bureau of Statistics of China, 2010, CHIN EN STAT YB 2010 National Bureau of Statistics of China, 2006, CHINA STAT YB 2006 National Bureau of Statistics of China, 2009, CHIN EN STAT YB 2009 National Bureau of Statistics of China, 2005, CHIN EN STAT YB 2005 National Bureau of Statistics of China, 2007, CHIN EN STAT YB 2007 National Bureau of Statistics of China, 2008, CHIN EN STAT YB 2008 National Bureau of Statistics of China, 2004, CHIN EN STAT YB 2004 National Bureau of Statistics of China, 2004, CHIN STAT YB 2004 National Bureau of Statistics of China, 2006, CHIN EN STAT YB 2006 National Bureau of Statistics of China, 2010, CHIN STAT YB 2010 National Bureau of Statistics of China, 2009, CHIN STAT YB 2009 National Bureau of Statistics of China, 2011, CHIN EN STAT YB 2011 National Bureau of Statistics of China, 2012, CHIN EN STAT YB 2012 National Bureau of Statistics of China, 2005, CHIN STAT YB 2005 National Bureau of Statistics of China, 2012, CHIN STAT YB 2012 National Bureau of Statistics of China, 2008, CHIN STAT YB 2008 Nejat P, 2015, RENEW SUST ENERG REV, V43, P843, DOI 10.1016/j.rser.2014.11.066 Odgaard O, 2014, ENERG POLICY, V71, P107, DOI 10.1016/j.enpol.2014.03.040 Office of National Coordination Committee on Climate Change of China and Energy Research Institute of National Development and Reform Commission of China, 2007, PEOPL REP CHIN NAT G Ouyang XL, 2015, RENEW SUST ENERG REV, V45, P838, DOI 10.1016/j.rser.2015.02.030 Pacetti T, 2015, J CLEAN PROD, V101, P278, DOI 10.1016/j.jclepro.2015.03.084 Pahl-Wostl C, 2013, CURR OPIN ENV SUST, V5, P676, DOI 10.1016/j.cosust.2013.10.018 Peng SQ, 2011, J EXP BOT, V62, P1709, DOI 10.1093/jxb/err049 Qiu GY, 2012, J INTEGR AGR, V11, P144, DOI 10.1016/S1671-2927(12)60792-5 Ren LL, 2012, HYDROL RES, V43, P1, DOI 10.2166/nh.2011.000 Scott CA, 2011, ENERG POLICY, V39, P6622, DOI 10.1016/j.enpol.2011.08.013 Sen PX, 1938, J AM STAT ASSOC, V63, P1379 Siddiqi A, 2011, ENERG POLICY, V39, P4529, DOI 10.1016/j.enpol.2011.04.023 Sovacool BK, 2011, ENERGY, V36, P5343, DOI 10.1016/j.energy.2011.06.043 State Council of China, 2012, OP STAT COUNC IMPL M State Council of China, 2015, MAD CHIN 2025 PLAN I State Council of China, 2015, CHIN UNV INT PLUS AC Udelhoven T, 2011, IEEE J-STARS, V4, P310, DOI 10.1109/JSTARS.2010.2051942 Varis O, 2014, APPL GEOGR, V53, P105, DOI 10.1016/j.apgeog.2014.05.012 Vorosmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440 Wang C, 2005, ENERGY, V30, P73, DOI 10.1016/j.energy.2004.04.002 Wang YD, 2015, RESOUR CONSERV RECY, V98, P76, DOI 10.1016/j.resconrec.2015.01.005 Wheater HS, 2015, WATER RESOUR RES, V51, P5406, DOI 10.1002/2015WR016892 World Bank, 2015, WHY US GNI CAP CLASS World Bank, 2015, GDP DEFL ANN World Water Assessment Programme, 2012, 5 UN ED SCI CULT ORG Wu G, 2012, APPL ENERG, V97, P157, DOI 10.1016/j.apenergy.2011.11.061 Xia J, 2008, PHYS CHEM EARTH, V33, P359, DOI 10.1016/j.pce.2008.02.009 Yao LX, 2015, ENERG POLICY, V77, P131, DOI 10.1016/j.enpol.2014.12.014 Yao LX, 2014, ENERG POLICY, V67, P595, DOI 10.1016/j.enpol.2013.12.047 Yin H, 2012, REMOTE SENS-BASEL, V4, P3364, DOI 10.3390/rs4113364 Yuan JH, 2014, ENERG POLICY, V65, P692, DOI 10.1016/j.enpol.2013.09.061 Zhang C, 2014, ECOL ECON, V100, P159, DOI 10.1016/j.ecolecon.2014.02.006 Zhang XH, 2014, RENEW SUST ENERG REV, V38, P624, DOI 10.1016/j.rser.2014.07.002 Zhao XG, 2014, RENEW SUST ENERG REV, V32, P302, DOI 10.1016/j.rser.2014.01.011 Zhao X, 2015, P NATL ACAD SCI USA, V112, P1031, DOI 10.1073/pnas.1404130112 NR 80 TC 13 Z9 14 U1 5 U2 23 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0306-2619 EI 1872-9118 J9 APPL ENERG JI Appl. Energy PD DEC 1 PY 2016 VL 183 BP 1112 EP 1122 DI 10.1016/j.apenergy.2016.09.069 PG 11 WC Energy & Fuels; Engineering, Chemical SC Energy & Fuels; Engineering GA EN0UQ UT WOS:000395726400019 OA Other Gold DA 2019-04-09 ER PT J AU Flynn, B AF Flynn, Brendan TI Marine wind energy and the North Sea Offshore Grid Initiative: A Multi-Level Perspective on a stalled technology transition? SO ENERGY RESEARCH & SOCIAL SCIENCE LA English DT Article DE Offshore grids; Offshore wind; Multi-level perspective; Transitions ID RENEWABLE ENERGY; SUSTAINABILITY TRANSITIONS; EMERGING FIELD; ELECTRICITY; SYSTEMS; EUROPE; PATHWAYS; POWER; CHALLENGES; DYNAMICS AB Building electricity grids out to sea implies a radical transformation of grid topologies. In time, a marine super-grid is conceivable. If growing numbers of subsea electricity cables are meshed with marine renewable, a 'greening' of such grids is also possible. Based on interview research, this paper examines one such ambitious proposal: the Northern Seas Countries Offshore Grid Initiative (NSCOGI). The Multi-Level Perspective (MLP) on technology transitions is used to evaluate progress to date. Obstacles uncovered include competing and still immature grid technology niches. There is only equivocal support from key actors within the relevant socio-technical electricity regime. National grid Transmission System Operators (TSOs) appear more interested in subsea cables to trade electricity rather than enhancing marine renewables. While the EU might be assumed to be a vital actor to support a North Sea Grid, it has only limited influence. National policy insiders and decisions matter more. This paper stresses the residual importance of the national level for offshore wind and electricity grids. A marine super-grid wired up with offshore wind-farms throughout the North Sea, is both more tentative in its emergence, but also ambiguous in its support for offshore wind. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Flynn, Brendan] Natl Univ Ireland Galway, Sch Polit Sci & Sociol, Galway, Ireland. RP Flynn, B (reprint author), Natl Univ Ireland Galway, Sch Polit Sci & Sociol, Galway, Ireland. EM Brendan.flynn@nuigalway.ie CR ABB, 2014, ABB AW 400 MILL ORD Adeuyi OD, 2015, P I CIVIL ENG-ENERGY, V168, P160, DOI 10.1680/ener.14.00027 Andersen A.D., 2014, ENVIRON INNOV SOC TR, V13, P83 Andersen AD, 2014, ENVIRON INNOV SOC TR, V13, P75, DOI 10.1016/j.eist.2014.09.004 Andrews D., PROSPECTS TRANSATLAN [Anonymous], 2016, MEPS RELEASE MANIFES Araujo K, 2014, ENERGY RES SOC SCI, V1, P112, DOI 10.1016/j.erss.2014.03.002 BBC, 2015, AR WE TIR TALK CLIM Boomsma TK, 2015, ENERGY, V89, P435, DOI 10.1016/j.energy.2015.05.114 Brown C., 15 OIES EL Capstick S, 2015, WIRES CLIM CHANGE, V6, P35, DOI 10.1002/wcc.321 Chapman I, 2014, ENERG POLICY, V64, P93, DOI 10.1016/j.enpol.2013.05.010 Cole S., 2014, STUDY BENEFITS MESHE De Decker J., 2011, OFFSHORE ELECT GRID De Decker J, 2013, RENEW ENERG, V49, P58, DOI 10.1016/j.renene.2012.01.066 Doorman GL, 2013, ENERG POLICY, V60, P334, DOI 10.1016/j.enpol.2013.05.041 Duncan Ian, 2015, SPEECH REALISING N S E3G, 2014, N SEAS GRID LEAD FUT EC/European Commission. Communication from the Commission to the European Parliament The Council, 2013, COM2013711 Elliott D, 2013, ENERGY STRATEG REV, V1, P171, DOI 10.1016/j.esr.2012.04.001 ENTSO-E/European Network of Transmission System Operators for Electricity, 2011, OFFSH TRANSM TECHN Escobar-Mejia A., 2014, EN CONV C EXP ECCE I, P4338 EUFORES/European Forum for Renewables Energy Sources, 2013, EUFORES EUR FOR REN, P2 Euractiv, 2015, MOM SWELLS N SEAS GR EWEA, 2015, EUR OFFSH WIND IND K EWEA, 2014, EUR OFFSH WIND IND K EWEA, 2014, DEV SHOV READ OFFSH EWEA, 2015, AIM HIGH REW AMB WIN Fairley P., 2013, GERMANY JUMP STARTS, P37 Flament A., NORTHSEAGRID FINAL R Fox B, 2015, ECOL LAW QUART, V42, P651 Francois, 2012, OFFSHORE GRIDS LEAST Fuchs R., 2011, WIND ENERGY SURPLUS Gaventa J., 2015, DELIVERING N SEAS GR Gaventa J., 2013, E3G COMMENTARY N SEA Geels FW, 2006, TECHNOVATION, V26, P999, DOI 10.1016/j.technovation.2005.08.010 Geels F.W., 2007, RES POLICY, V36, P406 Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003 Geels FW, 2016, RES POLICY, V45, P896, DOI 10.1016/j.respol.2016.01.015 Geels FW, 2014, THEOR CULT SOC, V31, P21, DOI 10.1177/0263276414531627 Geels FW, 2011, ENVIRON INNOV SOC TR, V1, P24, DOI 10.1016/j.eist.2011.02.002 Geels FW, 2010, RES POLICY, V39, P495, DOI 10.1016/j.respol.2010.01.022 Geels FW, 2005, TECHNOL ANAL STRATEG, V17, P445, DOI 10.1080/09537320500357319 Gees F. W., 2007, RES POLICY, V36, P403 Genus A, 2008, RES POLICY, V37, P1436, DOI 10.1016/j.respol.2008.05.006 Granovetter M., 1998, SOCIOL REV, V46, P152 Green R., 2011, ENERG POLICY, V39, P500 Greenpeace A., 2008, N SEA ELECT GRID R R Gruenig M, 2016, LOW-CARBON ENERGY SECURITY FROM A EUROPEAN PERSPECTIVE, P109, DOI 10.1016/B978-0-12-802970-1.00005-X Gullberg AT, 2013, ENERG POLICY, V57, P615, DOI 10.1016/j.enpol.2013.02.037 Heinberg R, 2016, OUR RENEWABLE FUTURE Hindmarsh R., 2016, FUKUSHIMA EFFECT NEW, P269 Hurley B., 2007, RENEWABLE ELECT GRID, P181 Jay SA, 2015, OCEAN COAST MANAGE, V117, P32, DOI 10.1016/j.ocecoaman.2015.08.002 Jepma C., 2016, CONNECT N SEA OIL GA Jianxiang Y., 2016, MARKET STATUS ASIA P Lafferty W.M., 2009, PROMOTING SUSTAINABL Lang M, 2015, J ENERGY NAT RESO LA, V33, P131, DOI 10.1080/02646811.2015.1022439 Lauber V, 2016, ENVIRON INNOV SOC TR, V18, P147, DOI 10.1016/j.eist.2015.06.005 Leveque F., 2012, THINK TOPIC Li BH, 2015, APPL ENERG, V155, P315, DOI 10.1016/j.apenergy.2015.05.111 Liu C., 2016, INSIDE CLIMATE NEWS Markard J, 2008, RES POLICY, V37, P596, DOI 10.1016/j.respol.2008.01.004 Markard J, 2012, RES POLICY, V41, P955, DOI 10.1016/j.respol.2012.02.013 Marshall T., 2014, EUR PLANN STUD Masters S, 2013, INDEPENDENT Mazur A., 2013, ENERGY ELERTRICITY I McCright AM, 2016, ENVIRON POLIT, V25, P338, DOI 10.1080/09644016.2015.1090371 Meeus L, 2011, ENERG POLICY, V39, P1470, DOI 10.1016/j.enpol.2010.12.019 Meier K, 2014, INT J ENERGY ENVIR E, V5, DOI 10.1007/s40095-014-0104-6 Midttun A, 2003, ENERG POLICY, V31, P677, DOI 10.1016/S0301-4215(02)00152-0 Midttun A, 2012, ENERG POLICY, V48, P22, DOI 10.1016/j.enpol.2012.04.049 Moccia J., EWEA TAKES N SEA GRI NSCOGI/The North Seas Countries' Offshore Grid Initiative, 2012, 32012 NSCOGI OffshoreWindBiz, 2016, EU DISC N SEA OFFSH OWI/Offshore Wind Industry, 2014, SOCK OUT SERV Papaefthymiou G, 2016, ENERG POLICY, V92, P69, DOI 10.1016/j.enpol.2016.01.025 Parry C., 2015, SUPER HIGHWAY SEA PO, p[135, 159] Peeters M., 2014, J EUR COMP LAW, V21, P39 PEI, 2015, UK OFFSH WIND SUBS C Reahout F., 2012, SUSTAIN SCI, P1 Renn O, 2016, ENERG POLICY, V99, P224, DOI 10.1016/j.enpol.2016.05.004 Schot Johan, 2007, RES POLICY, V36, P400 Smith A., 2007, RES POLICY Smith A, 2010, RES POLICY, V39, P435, DOI 10.1016/j.respol.2010.01.023 Sovacool BK, 2014, ENERGY RES SOC SCI, V1, P1, DOI 10.1016/j.erss.2014.02.003 Spro OC, 2015, SUSTAIN ENERGY TECHN, V11, P142, DOI 10.1016/j.seta.2014.12.001 Stegen KS, 2011, ENERG POLICY, V39, P6505, DOI 10.1016/j.enpol.2011.07.051 Steinbach A, 2015, J ENVIRON LAW, V27, P1, DOI 10.1093/jel/equ034 Stulberg AN, 2015, PROBL POST-COMMUNISM, V62, P112, DOI 10.1080/10758216.2015.1010914 Sturm C., 2016, B ATOMIC SCI Szyszczak E, 2014, J EUR COMPET LAW PRA, V5, P616, DOI 10.1093/jeclap/lpu063 TenneT, 2013, ANN REPORT, P46 UK Government, UK EN SEC Van Renssen S., 2014, EU COURT UPHOLDS NAT Verbong GPJ, 2010, TECHNOL FORECAST SOC, V77, P1214, DOI 10.1016/j.techfore.2010.04.008 Windpower Offshore, EN OPTS AC CONN KRIE Wittneben BBF, 2012, ENVIRON SCI POLICY, V15, P1, DOI 10.1016/j.envsci.2011.09.002 NR 98 TC 2 Z9 2 U1 2 U2 9 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2214-6296 EI 2214-6326 J9 ENERGY RES SOC SCI JI Energy Res. Soc. Sci. PD DEC PY 2016 VL 22 BP 36 EP 51 DI 10.1016/j.erss.2016.08.009 PG 16 WC Environmental Studies SC Environmental Sciences & Ecology GA EO0NP UT WOS:000396395100006 DA 2019-04-09 ER PT J AU Repar, N Jan, P Nemecek, T Dux, D Ceesay, MA Doluschitz, R AF Repar, Nina Jan, Pierrick Nemecek, Thomas Dux, Dunja Ceesay, Martina Alig Doluschitz, Reiner TI Local versus Global Environmental Performance of Dairying and Their Link to Economic Performance: A Case Study of Swiss Mountain Farms SO SUSTAINABILITY LA English DT Article DE sustainable agriculture; environmental sustainability; farm local environmental performance; farm global environmental performance; farm economic performance; life cycle assessment (LCA) ID LIFE-CYCLE ASSESSMENT; GREENHOUSE-GAS EMISSIONS; SUSTAINABLE INTENSIFICATION; IMPACT ASSESSMENT; MILK-PRODUCTION; LEVEL; AGRICULTURE; INDICATORS; MANAGEMENT; EFFICIENCY AB Complying with the carrying capacity of local and global ecosystems is a prerequisite to ensure environmental sustainability. Based on the example of Swiss mountain dairy farms, the goal of our research was firstly to investigate the relationship between farm global and local environmental performance. Secondly, we aimed to analyse the relationship between farm environmental and economic performance. The analysis relied on a sample of 56 Swiss alpine dairy farms. For each farm, the cradle-to-farm-gate life cycle assessment was calculated, and the quantified environmental impacts were decomposed into their on-and off-farm parts. We measured global environmental performance as the digestible energy produced by the farm per unit of global environmental impact generated from cradle-to-farm-gate. We assessed local environmental performance by dividing farm-usable agricultural area by on-farm environmental impact generation. Farm economic performance was measured by work income per family work unit, return on equity and output/input ratio. Spearman's correlation analysis revealed no significant relationship, trade-offs or synergies between global and local environmental performance indicators. Interestingly, trade-offs were observed far more frequently than synergies. Furthermore, we found synergies between global environmental and economic performance and mostly no significant relationship between local environmental and economic performance. The observed trade-offs between global and local environmental performance mean that, for several environmental issues, any improvement in global environmental performance will result in deterioration of local environmental performance and vice versa. This finding calls for systematic consideration of both dimensions when carrying out farm environmental performance assessments. C1 [Repar, Nina; Jan, Pierrick; Dux, Dunja] Agroscope, Farm Econ Res Grp, ISS, Tanikon 1, CH-8356 Ettenhausen, Switzerland. [Nemecek, Thomas; Ceesay, Martina Alig] Agroscope, Life Cycle Assessment Res Grp, ISS, Reckenholzstr 191, CH-8046 Zurich, Switzerland. [Repar, Nina; Doluschitz, Reiner] Univ Hohenheim, Inst Farm Management, Comp Applicat & Business Management Agr, D-70593 Stuttgart, Germany. RP Repar, N (reprint author), Agroscope, Farm Econ Res Grp, ISS, Tanikon 1, CH-8356 Ettenhausen, Switzerland.; Repar, N (reprint author), Univ Hohenheim, Inst Farm Management, Comp Applicat & Business Management Agr, D-70593 Stuttgart, Germany. EM nina.repar@agroscope.admin.ch; pierrick.jan@agroscope.admin.ch; thomas.nemecek@agroscope.admin.ch; dunja.dux@agroscope.admin.ch; martina.alig@agroscope.admin.ch; reiner.doluschitz@uni-hohenheim.de OI Nemecek, Thomas/0000-0001-8249-1170 FU Swiss National Science Foundation (SNSF); SNSF; SNSF (ECON'ENTAL project) [406940_145173] FX The research presented in this paper was funded by the Swiss National Science Foundation (SNSF) in the frame of the national research programme "Healthy nutrition and sustainable food production". The costs to publish in open access are also funded by the SNSF. Financial support from the SNSF (ECON'ENTAL project; Grant Number 406940_145173; Applicant: Pierrick Jan) is gratefully acknowledged. CR Alig M., 2015, AGROSCOPE SCI, V29, P160 Baumgartner D.U., 2011, ZENTRALE AUSWERTUNG Bjorn A, 2016, ECOL INDIC, V63, P1, DOI 10.1016/j.ecolind.2015.11.046 Bjorn A, 2015, INT J LIFE CYCLE ASS, V20, P1005, DOI 10.1007/s11367-015-0899-2 Bjorn A, 2015, ENVIRON SCI TECHNOL, V49, P6370, DOI 10.1021/acs.est.5b02106 Blalock H. M, 1979, SOCIAL STAT Brouwer F, 1998, NUTR CYCL AGROECOSYS, V52, P303, DOI 10.1023/A:1009783302364 Bystricky M., 2014, OKOBILANZ AUSGEWAHLT, P176 Bystricky M., 2014, MEILENSTEIN ZUM FORS, P41 Charles R, 2006, AGR ECOSYST ENVIRON, V113, P216, DOI 10.1016/j.agee.2005.09.014 de Boer IJM, 2003, LIVEST PROD SCI, V80, P69, DOI 10.1016/S0301-6226(02)00322-6 De Koeijer TJ, 2002, J ENVIRON MANAGE, V66, P9, DOI 10.1006/jema.2002.0578 European Environment Agency (EEA), 2013, 122013 EEA, P23 Evans J, 1996, STRAIGHTFORWARD STAT Fenollosa ML, 2014, AGROECOL SUST FOOD, V38, P635, DOI 10.1080/21683565.2014.896302 Freiermuth R, 2006, MODELL BERECHNUNG SC Frischknecht R., 2004, IMPLEMENTATION LIFE Gaillard G., 2009, Proceedings of the Conference on integrated assessment of agriculture and sustainable development: Setting the Agenda for Science and Policy (AgSAP 2009), Hotel Zuiderduin, Egmond aan Zee, The Netherlands, 10-12 March 2009, P134 Garnett T, 2011, FOOD POLICY, V36, pS23, DOI 10.1016/j.foodpol.2010.10.010 Gentil EC, 2011, WASTE MANAGE, V31, P2371, DOI 10.1016/j.wasman.2011.07.030 Gerber P, 2010, GREENHOUSE GAS EMISS, P98 Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Goedkoop M, 2009, REPORT 1 CHARACTERIS, V2008, P1, DOI DOI 10.029/2003JD004283 Guinee J. B., 2001, LIFE CYCLE ASSESSM 1, P11 Haas G, 2001, AGR ECOSYST ENVIRON, V83, P43, DOI 10.1016/S0167-8809(00)00160-2 Haas G, 2000, INT J LIFE CYCLE ASS, V5, P345, DOI 10.1065/lca2000.11.038 Halberg N, 2005, LIVEST PROD SCI, V96, P33, DOI 10.1016/j.livprodsci.2005.05.013 Hauschild M, 2005, SPATIAL DIFFERENTIAT Hauschild MZ, 2006, INT J LIFE CYCLE ASS, V11, P72, DOI 10.1065/lca2006.04.014 Hausheer Schnider J., 2008, WEGLEITUNG ZUM MERKM Hersener J.L., 2011, ZENTRALE AUSWERTUNG Herzog F., 2005, SCHRIFTENREIHE FAL, V57 Hischier R., 2010, 16 SWISS CTR LIF CYC Hoang VN, 2010, NUTR CYCL AGROECOSYS, V87, P353, DOI 10.1007/s10705-010-9343-y Hochschule fur Agrar- Forst- und Lebensmittelwissenschaften (HAFL)., 2013, TECHN PAR MOD AGR VE Hochschule fur Agrar- Forst- und Lebensmittelwissenschaften (HAFL), 2013, DOK TECHN PAR MOD AG Huppes G, 2005, J IND ECOL, V9, P43, DOI 10.1162/108819805775247891 Intergovernmental Panel on Climate Change (IPCC), 2006, 2006 IPCC GUIDELINES, V4, P673 Jan P., 2015, P 29 INT C AGR EC MI Jan P, 2012, INT J LIFE CYCLE ASS, V17, P706, DOI 10.1007/s11367-012-0405-z Kirchgessner M., 1995, RUMINANT PHYSL DIGES, P291 Korsaeth A, 2012, ACTA AGR SCAND A-AN, V62, P242, DOI 10.1080/09064702.2013.783619 Kulak M, 2015, J CLEAN PROD, V90, P104, DOI 10.1016/j.jclepro.2014.10.060 Loos J, 2014, FRONT ECOL ENVIRON, V12, P356, DOI 10.1890/130157 Moreau V, 2015, INT J LIFE CYCLE ASS, V20, P1359, DOI 10.1007/s11367-015-0952-1 Mouron P, 2006, ECOL ECON, V58, P561, DOI 10.1016/j.ecolecon.2005.08.007 Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420 Nemecek T, 2011, AGR SYST, V104, P217, DOI 10.1016/j.agsy.2010.10.002 Nevens F, 2006, AGR SYST, V88, P142, DOI 10.1016/j.agsy.2005.03.005 Oenema O, 1998, ENVIRON POLLUT, V102, P471, DOI 10.1016/S0269-7491(98)80071-7 Payraudeau S, 2005, AGR ECOSYST ENVIRON, V107, P1, DOI 10.1016/j.agee.2004.12.012 Pfister S, 2009, ENVIRON SCI TECHNOL, V43, P4098, DOI 10.1021/es802423e Prasuhn V, 2006, ERFASSUNG PO4 AUSTRA PRe Consultants, 2012, SIMAPRO 7 3 3 Repar N, 2017, J CLEAN PROD, V140, P692, DOI 10.1016/j.jclepro.2016.07.022 Richner W., 2014, AGROSCOPE SCI, V5, P60 Rockstrom J., 2016, AMBIO Sala S, 2013, INT J LIFE CYCLE ASS, V18, P1686, DOI 10.1007/s11367-012-0509-5 Solomon S., 2007, CLIMATE CHANGE 2007, P996 Thoma G, 2013, INT DAIRY J, V31, pS3, DOI 10.1016/j.idairyj.2012.08.013 Thomassen MA, 2009, ECOL ECON, V68, P2278, DOI 10.1016/j.ecolecon.2009.02.011 Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108 Tukker A, 2011, ECOL ECON, V70, P1776, DOI 10.1016/j.ecolecon.2011.05.001 van der Werf HMG, 2002, AGR ECOSYST ENVIRON, V93, P131, DOI 10.1016/S0167-8809(01)00354-1 NR 64 TC 1 Z9 1 U1 1 U2 8 PU MDPI AG PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD DEC PY 2016 VL 8 IS 12 AR 1294 DI 10.3390/su8121294 PG 19 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA EJ6FR UT WOS:000393315100018 OA DOAJ Gold DA 2019-04-09 ER PT J AU Pedrini, M Ferri, LM AF Pedrini, Matteo Ferri, Laura Maria TI Doing Well by Returning to the Origin. Mission Drift, Outreach and Financial Performance of Microfinance Institutions SO VOLUNTAS LA English DT Article DE Microcredit; Outreach; Financial performance ID EFFICIENCY; IMPACT; SUSTAINABILITY; COUNTRIES; BOLIVIA AB The majority of studies discussed the existence of a trade-off between financial performance and outreach, pointing out those MFIs that look for higher profits lead to lower outreach. Another stream of research discussed the phenomena of mission drift, which see MFIs leave from their social mission, which is to provide micro financial services to break the cycle of poverty by reducing financial exclusion and move away from the traditional microcredit business model by three different ways. The paper contribute to the debate focussing the impact of mission drift phenomena on both financial performance and outreach of MFIs. This paper uses a dataset of 194 microfinance institutions (MFIs), 788 annual ratings from 2001 to 2010, collected by MicroFinanza Rating, an international MFIs' rating agency, to study and test three hypotheses on the relationship between mission drift, financial performance and outreach of MFIs. Data analysed with mixed effect regressions shows that a trade-off exist between financial performance and outreach. Results show that mission drift positively impacts on financial performance but it reduces outreach. MFIs should be encouraged to clearly define if their main aim is to assure remuneration of shareholders or if they want to contribute to the outreach of poor. C1 [Pedrini, Matteo; Ferri, Laura Maria] Univ Cattolica Sacro Cuore, ALTIS Alta Scuola Impresa & Soc, Via San Vittore 18, I-20123 Milan, Italy. RP Pedrini, M (reprint author), Univ Cattolica Sacro Cuore, ALTIS Alta Scuola Impresa & Soc, Via San Vittore 18, I-20123 Milan, Italy. EM matteo.pedrini@unicatt.it; laura.ferri@unicatt.it RI Pedrini, Matteo/O-7111-2017 OI Pedrini, Matteo/0000-0002-3952-0455 CR Akaike H., 1973, P 2 INT S INF THEOR Bhatt N, 2001, POLICY STUD J, V29, P319, DOI 10.1111/j.1541-0072.2001.tb02095.x Burnham K. P., 2002, MODEL SELECTION MULT Chahine S, 2010, VOLUNTAS, V21, P440, DOI 10.1007/s11266-010-9136-6 Copestake J, 2007, WORLD DEV, V35, P1721, DOI 10.1016/j.worlddev.2007.06.004 Cull R, 2007, ECON J, V117, pF107, DOI 10.1111/j.1468-0297.2007.02017.x de Aghion A. B., 2005, EC MICROFINANCE Deininger K, 2013, WORLD DEV, V43, P149, DOI 10.1016/j.worlddev.2012.09.019 DeLoach SB, 2011, WORLD DEV, V39, P1808, DOI 10.1016/j.worlddev.2011.04.009 Dichter T., 2007, WHATS WRONG MICROFIN Fernando N. A., 2004, MICROSUCCESS STORY T Fries S, 2005, J BANK FINANC, V29, P55, DOI 10.1016/j.jbankfin.2004.06.016 Ghatak M, 1999, J DEV ECON, V60, P195, DOI 10.1016/S0304-3878(99)00041-3 Hermes N, 2007, ECON J, V117, pF1, DOI 10.1111/j.1468-0297.2007.02013.x Hermes N, 2011, WORLD DEV, V39, P875, DOI 10.1016/j.worlddev.2009.10.021 Hermes N, 2011, WORLD DEV, V39, P938, DOI 10.1016/j.worlddev.2009.10.018 Honohan P., 2004, FINANCIAL SECTOR POL, V43 Hudon M, 2011, WORLD DEV, V39, P966, DOI 10.1016/j.worlddev.2009.10.017 Hulme D., 1996, FINANCE POVERTY Imai KS, 2012, WORLD DEV, V40, P1675, DOI 10.1016/j.worlddev.2012.04.013 Kirkpatrick C., 2002, DEV POLICY REV, V20, P293, DOI DOI 10.1111/1467-7679.00172 LAIRD NM, 1982, BIOMETRICS, V38, P963, DOI 10.2307/2529876 Littlefield E., 2003, 24 CGAP, V24 Louis P, 2013, WORLD DEV, V46, P197, DOI 10.1016/j.worlddev.2013.02.006 Marr A, 2004, J MICROFINANCE, V5, P1 Mersland R, 2010, WORLD DEV, V38, P28, DOI 10.1016/j.worlddev.2009.05.006 Morduch J, 1999, J ECON LIT, V37, P1569, DOI 10.1257/jel.37.4.1569 Mosley P, 2001, J DEV STUD, V37, P101, DOI 10.1080/00220380412331322061 Navajas S, 2000, WORLD DEV, V28, P333, DOI 10.1016/S0305-750X(99)00121-7 Olivares-Polanco F., 2004, EMPIRICAL EVIDENCE L, V7, P47 Omar RZ, 1999, STAT MED, V18, P1587, DOI 10.1002/(SICI)1097-0258(19990715)18:13<1587::AID-SIM141>3.0.CO;2-Z Paxton J, 2000, ECON DEV CULT CHANGE, V48, P639, DOI 10.1086/452613 Pinz A, 2015, VOLUNTAS, V26, P488, DOI 10.1007/s11266-014-9445-2 Prior F, 2009, BUS ETHICS, V18, P349, DOI 10.1111/j.1467-8608.2009.01568.x Quayes S, 2012, APPL ECON, V44, P3421, DOI 10.1080/00036846.2011.577016 Robinson M. S., 2001, MICROFINANCE REVOLUT Schreiner M., 2002, J INT DEV, V14, P591, DOI [10.1002/jid.908, DOI 10.1002/JID.908] Scully N., 2004, MICROCREDIT NO PANAC Shieh YY, 2003, EDUC PSYCHOL MEAS, V63, P951, DOI 10.1177/0013164403258402 Social Performance Task Force, 2009, SOC PERF STAND REP Woller G., 2002, SMALL ENTERPRISE DEV, V13, P12 Woller G, 1999, INT J EC DEV, V1, P29 NR 42 TC 2 Z9 2 U1 5 U2 25 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 0957-8765 EI 1573-7888 J9 VOLUNTAS JI Voluntas PD DEC PY 2016 VL 27 IS 6 BP 2576 EP 2594 DI 10.1007/s11266-016-9707-2 PG 19 WC Social Issues SC Social Issues GA EK2GZ UT WOS:000393747100003 DA 2019-04-09 ER PT J AU Fan, SG Brzeska, J AF Fan, Shenggen Brzeska, Joanna TI Sustainable food security and nutrition: Demystifying conventional beliefs SO GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT LA English DT Article; Proceedings Paper CT 2nd International Conference on Global Food Security CY OCT 11-15, 2015 CL Cornell Univ, Ithaca, NY HO Cornell Univ DE Agriculture; Biofuels; Economic growth; Food security; Gender equality; Nutrition; Smallholders; Sustainability; Technology ID BIOFUELS; AGRICULTURE; EMISSIONS AB The global food system today faces the significant challenge of feeding more people amid dwindling natural resources and a more fragile natural environment. The path toward sustainable food security and nutrition is often riddled with inaccurate and oversimplified beliefs regarding the requirements and impacts of such a strategy. This includes the belief that trade-offs are inevitable when linking environmental sustainability with food security and nutrition strategies-which means that stakeholders have to prioritize one area at the expense of the other. Likewise, policymakers and researchers alike often make inaccurate assumptions about technological innovations, gender, biofuels, and smallholder farming. Such sustainable food security and nutrition "myths" pose a significant challenge to the effective design and promotion of more environmentally-friendly agricultural and food systems. This paper will explore the myths and realities surrounding the relationship between environmental sustainability, food security, and nutrition. It will focus on debunking some of the common myths that hamper sustainable food security and nutrition efforts and will highlight actions that can mutually reinforce food security, nutrition, and environmental sustainability. Providing the world's growing population with a more secure and sustainable supply of nutritious food is possible but not automatic and requires an accurate and comprehensive understanding of the dynamics surrounding sustainable food security and nutrition pathways. (C) 2016 Elsevier B.V. All rights reserved. C1 [Fan, Shenggen; Brzeska, Joanna] Int Food Policy Res Inst, 2033 K St NW, Washington, DC 20006 USA. RP Fan, SG (reprint author), Int Food Policy Res Inst, 2033 K St NW, Washington, DC 20006 USA. EM s.fan@cgiar.org CR Barrett CB, 2010, WORLD DEV, V38, P88, DOI 10.1016/j.worlddev.2009.06.002 Beddington J., 2012, ACHIEVING FOOD SECUR Berry EM, 2015, PUBLIC HEALTH NUTR, V18, P2293, DOI 10.1017/S136898001500021X Cunningham Kenda, 2009, MILLIONS FED PROVEN Deininger K., 2015, INT ASS AGR EC C MIL Dobbs R, 2014, OVERCOMING OBESITY I Ecker O., 2011, LINKING EC POLICY NU Elshout PMF, 2015, NAT CLIM CHANGE, V5, P604, DOI 10.1038/nclimate2642 EMPA, 2012, HARM EXT BIOEN INV A Fan S., 2013, SUBSISTENCE PROFIT T Fan S., 2015, 2014 2015 GLOBAL FOO, P25 FAN SG, 1991, AM J AGR ECON, V73, P266, DOI 10.2307/1242711 Fan Shenggen, 2011, URGENT ACTIONS NEEDE FAO, 2011, 2010 2011 STAT FOOD FAO, 2013, STAT FOOD AGR FAO, 2014, GEND SPEC APPR RUR I FAO, 2012, GREEN EC AGR FAO (Food and Agriculture Organization of the United Nations), 2009, FEED WORLD 2050 ISS, P12 FAO IFAD and WFP, 2013, STAT FOOD INS WORLD Field CB, 2014, CLIMATE CHANGE 201 A Food and Agricultural Organization (FAO) International Fund for Agricultural Development (IFAD) and World Food Program (WFP), 2015, STAT FOOD INS WORLD Garnett T., 2012, SUSTAINABLE INTENSIF Giller KE, 2009, FIELD CROP RES, V114, P23, DOI 10.1016/j.fcr.2009.06.017 Grafton RQ, 2015, FOOD SECUR, V7, P209, DOI 10.1007/s12571-015-0439-8 HarvestPlus, 2016, BIOF EV Hazell P. B. R., 2009, Millions fed: proven successes in agricultural development, P25 Headey D, 2011, PRONUTRITION EC GROW International Food Policy Research Institute (IFPRI), 2014, GLOB NUTR REP 2014 A Johnston D, 2015, 01456 IFPRI Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001 Kemper N, 2015, WORLD DEV, V71, P107, DOI 10.1016/j.worlddev.2013.11.004 Larson D., 2012, SHOULD AFRICAN RURAL Liska AJ, 2014, NAT CLIM CHANGE, V4, P398, DOI [10.1038/NCLIMATE2187, 10.1038/nclimate2187] Lowder S., 2014, ESA WORKING PAPERS Minot Nicholas, 2011, TRANSMISSION WORLD F Msangi S, 2011, 2020 C LEV AGR IMPR Nelson J, 2009, CLIMATE CHANGE AND GLOBAL POVERTY: A BILLION LIVES IN THE BALANCE, P223 Ng M, 2014, LANCET, V384, P766, DOI 10.1016/S0140-6736(14)60460-8 Nin-Pratt A., 2010, R D INVESTMENT NATL OECD- FAO (The Organization for Economic Co- operation and Development and the Food and Agriculture Organization of the United Nations), 2015, OECD FAO AGR OUTL 20 Pauw K, 2010, 947 IFPRI Reardon T, 2014, GLOB FOOD SECUR-AGR, V3, P108, DOI 10.1016/j.gfs.2014.02.001 Ringler C, 2012, SOIL WATER AGRONOMIC, P523 Rosegrant M, 2013, 2012 GLOBAL FOOD POL Rosegrant M. W., 2014, FOOD SECURITY WORLD Rosegrant Mark W., 2009, ANN REV Ruel MT, 2013, LANCET, V382, P536, DOI 10.1016/S0140-6736(13)60843-0 Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 SEN A, 1985, J PHILOS, V82, P169, DOI 10.2307/2026184 Shenggen Fan, 2015, 2014 2015 GLOBAL FOO Smith LC, 2015, WORLD DEV, V68, P180, DOI 10.1016/j.worlddev.2014.11.014 Stiglitz J., 2010, MISMEASURING OUR LIV Timilsina GR, 2013, ENVIRON RESOUR ECON, V55, P1, DOI 10.1007/s10640-012-9609-8 To H, 2015, FOOD SECUR, V7, P323, DOI 10.1007/s12571-015-0438-9 UN, 1987, REP WORLD COMM ENV D UN Millennium Project, 2015, HALV HUNG IT CAN BE UNCCD, 2011, UNCCD SECR PRE UNPUB United Nations Population Division, 2014, WORLD URB PROSP 2014 von Grebmer K, 2014, 2014 GLOBAL HUNGER I Wang X., 2014, WAGE GROWTH LANDHOLD World Bank, 2015, WORLD DEV IND Yu B., 2010, 01015 IFPRI NR 62 TC 12 Z9 12 U1 8 U2 26 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2211-9124 J9 GLOB FOOD SECUR-AGR JI Glob. Food Secur.-Agric.Policy PD DEC PY 2016 VL 11 BP 11 EP 16 DI 10.1016/j.gfs.2016.03.005 PG 6 WC Food Science & Technology SC Food Science & Technology GA EJ0VB UT WOS:000392927600003 DA 2019-04-09 ER PT J AU Busse, C Kach, AP Bode, C AF Busse, Christian Kach, Andrew P. Bode, Christoph TI Sustainability and the False Sense of Legitimacy: How Institutional Distance Augments Risk in Global Supply Chains SO JOURNAL OF BUSINESS LOGISTICS LA English DT Article DE institutional distance; legitimacy context; stakeholder; supply chain risk; sustainability ID TRANSACTION COST ECONOMICS; MULTINATIONAL-ENTERPRISE; ORGANIZATIONAL LEGITIMACY; MANAGING LEGITIMACY; STAKEHOLDER THEORY; MANAGEMENT; FIRMS; RESPONSIBILITY; SUBSIDIARIES; DISRUPTIONS AB Supply chain scholars have begun to recognize the institutional influences on supply chains, yet scarce attention has been directed toward the fact that global supply chains often comprise different institutions. This omission represents a severe shortcoming because the understanding of what constitutes legitimate behavior may vary substantially between contexts. This conceptual study employs the institutional distance concept to the case of supply chain sustainability risks. It focuses initially on paradoxical situations in which both the buyer and the supplier fully comply with stakeholder expectations within their own legitimacy contexts, yet the buyer's stakeholders still withdraw legitimacy from and harm the buyer. The study analyzes the causal microfoundations of how and why such paradoxical risks manifest, drawing on stakeholder theory and institutional theory. The analysis shows that accounting for the differing legitimacy contexts is necessary for explaining these risks, thereby substantiating our initial claim that institutional distance matters to global supply chains. The study yields important implications for corporate practice in that it highlights an inherent trade-off in many global supply chains. C1 [Busse, Christian] ETH, Swiss Fed Inst Technol Zurich, Zurich, Switzerland. [Kach, Andrew P.] Swiss Fed Inst Technol Zurich, Zurich, Switzerland. [Bode, Christoph] Univ Mannheim, Sch Business, Mannheim, Germany. RP Busse, C (reprint author), Swiss Fed Inst Technol Zurich, Dept Management Technol & Econ, Weinbergstr 56-58, CH-8092 Zurich, Switzerland. EM cbusse@ethz.ch RI Bode, Christoph/G-1773-2010 OI Bode, Christoph/0000-0001-5006-5804; Kach, Andrew/0000-0002-8365-7483 CR Alam K., WHO PAYS OUR CLOTHIN Aleksynska M, 2013, EUR J POLIT ECON, V29, P38, DOI 10.1016/j.ejpoleco.2012.09.001 Bangladesh Gazette, 2013, BANGLADESH PARLIAMEN, VXLII, P145 Barnett ML, 2014, J MANAGE, V40, P676, DOI 10.1177/0149206311433854 Benford RD, 2000, ANNU REV SOCIOL, V26, P611, DOI 10.1146/annurev.soc.26.1.611 Berg A., 2013, GLOBAL SOURCING MAP Bitektine A, 2015, ACAD MANAGE REV, V40, P49, DOI 10.5465/amr.2013.0318 Bitektine A, 2011, ACAD MANAGE REV, V36, P151, DOI 10.5465/amr.2009.0382 Blackhurst J, 2005, INT J PROD RES, V43, P4067, DOI 10.1080/00207540500151549 Blackhurst J, 2011, J BUS LOGIST, V32, P374, DOI 10.1111/j.0000-0000.2011.01032.x Bode C, 2011, ACAD MANAGE J, V54, P833, DOI 10.5465/AMJ.2011.64870145 Bonardi JP, 2005, ACAD MANAGE REV, V30, P555 Bregman R, 2015, J OPER MANAG, V36, P229, DOI 10.1016/j.jom.2015.01.001 Bridoux F, 2014, STRATEGIC MANAGE J, V35, P107, DOI 10.1002/smj.2089 Busse C, 2016, INT J PHYS DISTR LOG, V46, P442, DOI 10.1108/IJPDLM-12-2015-0300 Busse C, 2016, J SUPPLY CHAIN MANAG, V52, P28, DOI 10.1111/jscm.12096 Cai SH, 2014, J SUPPLY CHAIN MANAG, V50, P3, DOI 10.1111/jscm.12035 Carter CR, 2011, INT J PHYS DISTR LOG, V41, P46, DOI 10.1108/09600031111101420 CLARKSON MBE, 1995, ACAD MANAGE REV, V20, P92, DOI 10.5465/AMR.1995.9503271994 Clean Clothes Campaign, 2014, RAN PLAZ MAN MAD DIS Cooper DJ, 2008, SAGE HDB ORG I, P673 Damsch N., 2013, PRODUKTION VICTORIAS Deephouse David L., 2008, SAGE HDB ORG I, V49, P49, DOI DOI 10.4135/9781849200387 Deloitte, 2014, GLOB POW RET 2014 DIMAGGIO PJ, 1983, AM SOCIOL REV, V48, P147, DOI 10.2307/2095101 DONALDSON T, 1995, ACAD MANAGE REV, V20, P65, DOI 10.5465/AMR.1995.9503271992 DOWLING J, 1975, PAC SOCIOL REV, V18, P122 Ehrgott M, 2013, J BUS LOGIST, V34, P131, DOI 10.1111/jbl.12015 Ehrgott M, 2011, J BUS ETHICS, V98, P99, DOI 10.1007/s10551-010-0537-7 Ellram LM, 2008, J OPER MANAG, V26, P148, DOI 10.1016/j.jom.2007.02.008 Foerstl K, 2010, J PURCH SUPPLY MANAG, V16, P118, DOI 10.1016/j.pursup.2010.03.011 Fombrun C., 2000, BUSINESS SOC REV, V105, P85, DOI DOI 10.1111/0045-3609.00066 Freeman RE, 2011, STAKEHOLDER THEORY: IMPACT AND PROSPECTS, P212 Gaur AS, 2007, J MANAGE, V33, P84, DOI 10.1177/0149206306295203 Goffman E., 1974, FRAME ANAL Gualandris J, 2015, J OPER MANAG, V38, P1, DOI 10.1016/j.jom.2015.06.002 Hajmohammad S, 2016, J SUPPLY CHAIN MANAG, V52, P48, DOI 10.1111/jscm.12099 Hartmann J, 2014, J OPER MANAG, V32, P281, DOI 10.1016/j.jom.2014.01.005 Hofmann H, 2014, BUS STRATEG ENVIRON, V23, P160, DOI 10.1002/bse.1778 Homeworkers Worldwide, 2012, WHO FOOTS THE BILL Husted BW, 2006, J INT BUS STUD, V37, P838, DOI 10.1057/palgrave.jibs.8400227 Jeppesen S., 2004, BUSINESS STRATEGY EN, V13, P261, DOI DOI 10.1002/BSE.410 Jia F, 2014, J BUS LOGIST, V35, P259, DOI 10.1111/jbl.12050 JVB (Justizvollzug Bayern), 2013, ARB GEF Kortelainen K., 2008, BUSINESS STRATEGY EN, V17, P431, DOI DOI 10.1002/BSE.634 Kostova T, 1999, ACAD MANAGE REV, V24, P64, DOI 10.2307/259037 Kostova T, 1996, SUCCESS TRANSNATIONA Krei A., 2012, LIDL CHECK SCHLAGT S Laghai S., 2012, LIDL CHECK MARKEN CH LIDL, 2014, CO INF Liu J., 2010, BLOOMBERG BUSINESSWE Macdonald JR, 2013, J BUS LOGIST, V34, P270, DOI 10.1111/jbl.12026 Mair J, 2009, J BUS VENTURING, V24, P419, DOI 10.1016/j.jbusvent.2008.04.006 Manik J. A, 2013, NY TIMES Meiners Erica R, 2010, RIGHT BE HOSTILE SCH MEYER JW, 1977, AM J SOCIOL, V83, P340, DOI 10.1086/226550 Mitchell RK, 1997, ACAD MANAGE REV, V22, P853, DOI 10.2307/259247 Mollenkopf D, 2010, INT J PHYS DISTR LOG, V40, P14, DOI 10.1108/09600031011018028 Narasimhan R, 2009, J OPER MANAG, V27, P114, DOI 10.1016/j.jom.2009.02.001 Nelson J, 2008, BUSINESS MILLENNIUM North D., 1990, I I CHANGE EC PERFOR Organization for Economic Cooperation and Development (OECD), 2010, MEAS PROGR SOC OSHE (B. O. S. Health and Environment Foundation), 2013, OSH NEWSL JUL 2013 Pagell M, 2009, J SUPPLY CHAIN MANAG, V45, P37, DOI 10.1111/j.1745-493X.2009.03162.x Pfeffer J., 1981, POWER ORG Phillips N, 2009, STRATEG ORGAN, V7, P339, DOI 10.1177/1476127009337439 Powell W., 1990, NEW I ORG ANAL Rao S, 2009, INT J LOGIST MANAG, V20, P97, DOI 10.1108/09574090910954864 Saldanha JP, 2015, J SUPPLY CHAIN MANAG, V51, P5, DOI 10.1111/jscm.12065 Scherer AG, 2013, J MANAGE STUD, V50, P259, DOI 10.1111/joms.12014 Schleper Martin C., 2013, Logistics Research, V6, P187, DOI 10.1007/s12159-013-0109-1 Schneider AL, 1999, AM BEHAV SCI, V43, P192, DOI 10.1177/00027649921955119 Schwens C, 2011, J MANAGE STUD, V48, P330, DOI 10.1111/j.1467-6486.2010.00970.x Scott W. R., 2014, I ORG IDEAS INTEREST Scott W. R., 1994, I ENV ORG STRUCTURAL Shiina Y., 2015, 2 YEARS RANA PLAZA W Simpson D, 2014, INT J OPER PROD MAN, V34, P830, DOI 10.1108/IJOPM-02-2012-0063 Sodhi MS, 2012, PROD OPER MANAG, V21, P1, DOI 10.1111/j.1937-5956.2011.01251.x Spencer J, 2011, STRATEGIC MANAGE J, V32, P280, DOI 10.1002/smj.874 SUCHMAN MC, 1995, ACAD MANAGE REV, V20, P571, DOI 10.2307/258788 Surroca J, 2013, ACAD MANAGE J, V56, P549, DOI 10.5465/amj.2010.0962 Tate WL, 2012, J PURCH SUPPLY MANAG, V18, P173, DOI 10.1016/j.pursup.2012.07.001 Tate WL, 2011, J BUS LOGIST, V32, P6, DOI 10.1111/j.2158-1592.2011.01001.x Tost LP, 2011, ACAD MANAGE REV, V36, P686, DOI 10.5465/amr.2010.0227 Touboulic A, 2015, INT J PHYS DISTR LOG, V45, P16, DOI 10.1108/IJPDLM-05-2013-0106 Tsinopoulos C., 2010, COMPETING SUPPLY CHA United Nations Development Programme, 2013, HUM DEV REP 2013 Venkatesan R., 2013, EC POLITICAL WEEKLY Waller MA, 2015, J BUS LOGIST, V36, P303, DOI 10.1111/jbl.12110 Williamson OE, 2008, J SUPPLY CHAIN MANAG, V44, P5, DOI 10.1111/j.1745-493X.2008.00051.x Winter M, 2013, INT J PHYS DISTR LOG, V43, P18, DOI 10.1108/09600031311293237 Wu ZH, 2011, J OPER MANAG, V29, P577, DOI 10.1016/j.jom.2010.10.001 Xu D, 2002, ACAD MANAGE REV, V27, P608, DOI 10.2307/4134406 Yamoah F. A., 2014, INT REVMANAG MARKET, V4, P98 Zsidisin G. A., 2005, SUPPLY CHAIN MANAG, V9, P46 ZUCKER LG, 1987, ANNU REV SOCIOL, V13, P443, DOI 10.1146/annurev.so.13.080187.002303 NR 96 TC 10 Z9 10 U1 4 U2 36 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0735-3766 EI 2158-1592 J9 J BUS LOGIST JI J. Bus. Logist. PD DEC PY 2016 VL 37 IS 4 BP 312 EP 328 DI 10.1111/jbl.12143 PG 17 WC Management SC Business & Economics GA EI5AZ UT WOS:000392507100002 DA 2019-04-09 ER PT J AU Kennedy, CM Hawthorne, PL Miteva, DA Baumgarten, L Sochi, K Matsumoto, M Evans, JS Polasky, S Hamel, P Vieira, EM Develey, PF Sekercioglu, CH Davidson, AD Uhlhorn, EM Kiesecker, J AF Kennedy, Christina M. Hawthorne, Peter L. Miteva, Daniela A. Baumgarten, Leandro Sochi, Kei Matsumoto, Marcelo Evans, Jeffrey S. Polasky, Stephen Hamel, Perrine Vieira, Emerson M. Develey, Pedro Ferreira Sekercioglu, Cagan H. Davidson, Ana D. Uhlhorn, Elizabeth M. Kiesecker, Joseph TI Optimizing land use decision-making to sustain Brazilian agricultural profits, biodiversity and ecosystem services SO BIOLOGICAL CONSERVATION LA English DT Article DE Sustainable agriculture; Production possibility frontier; Land use optimization; Land use policy; Tropical conservation ID ECOLOGICAL THRESHOLDS; NATURE CONSERVATION; TROPICAL FORESTS; MANAGEMENT; LANDSCAPES; EXPANSION; DEFORESTATION; TRADEOFFS; DIVERSITY; PROVISION AB Designing landscapes that can meet human needs, while maintaining functioning ecosystems, it essential for long-term sustainability. To achieve this goal, we must better understand the trade-offs and thresholds in the provision of ecosystem services and economic returns. To this end, we integrate spatially explicit economic and biophysical models to jointly optimize agricultural profit (sugarcane production and cattle ranching), biodiversity (bird and mammal species), and freshwater quality (nitrogen, phosphorus, and sediment retention) in the Brazilian Cerrado. We generate efficiency frontiers to evaluate the economic and environmental trade-offs and map efficient combinations of agricultural land and natural habitat under varying service importance. To assess the potential impact of the Brazilian Forest Code (FC), a federal policy that aims to promote biodiversity and ecosystem services on private lands, we compare the frontiers with optimizations that mimic the habitat requirements in the region. We find significant opportunities to improve both economic and environmental outcomes relative to the current landscape. Substantial trade-offs between biodiversity and water quality exist when land use planning targets a single service, but these trade-offs can be minimized through multi-objective planning. We also detect non-linear profit-ecosystem services relationships that result in land use thresholds that coincide with the FC requirements. Further, we demonstrate that landscape-level planning can greatly improve the performance of the FC relative to traditional farm-level planning. These findings suggest that through joint planning for economic and environmental goals at a landscape-scale, Brazil's,agricultural sector can expand production and meet regulatory requirements, while maintaining biodiversity and ecosystem service provision. (C) 2016 The Authors. Published by Elsevier Ltd. C1 [Kennedy, Christina M.; Sochi, Kei; Evans, Jeffrey S.; Kiesecker, Joseph] Nature Conservancy, Global Conservat Lands Program, Ft Collins, CO 80524 USA. [Hawthorne, Peter L.; Polasky, Stephen] Univ Minnesota, Nat Capital Project & Inst Environm, Learning Environm Sci 325, 1954 Buford Ave, St Paul, MN 55108 USA. [Miteva, Daniela A.] Ohio State Univ, Dept Agr Environm & Dev Econ, Columbus, OH 43210 USA. [Baumgarten, Leandro; Matsumoto, Marcelo] Nature Conservancy, Brazil Program, SIG Qd 01,Lt 985-1005,Sala 206, BR-70610410 Brasilia, DF, Brazil. [Polasky, Stephen] Univ Minnesota, Dept Appl Econ, 1994 Buford Ave, St Paul, MN 55112 USA. [Hamel, Perrine] Stanford Univ, Nat Capital Project, 371 Serra Mall, Stanford, CA 94305 USA. [Vieira, Emerson M.] Univ Brasilia, Dept Ecol, Lab Ecol Vertebrados, CP 04457,Campus Univ Darcy Ribeiro, BR-70910900 Brasilia, DF, Brazil. [Develey, Pedro Ferreira] BirdLife SAVE Brasil, R Ferrero Dias 219, BR-05427010 Sao Paulo, SP, Brazil. [Sekercioglu, Cagan H.] Univ Utah, Dept Biol, Salt Lake City, UT 84112 USA. [Sekercioglu, Cagan H.] Koc Univ, Coll Sci, TR-34450 Istanbul, Turkey. [Davidson, Ana D.] SUNY Stony Brook, Dept Ecol & Evolut, Stony Brook, NY 11794 USA. [Uhlhorn, Elizabeth M.] Dow Chem Co USA, Sustainabil Program, Philadelphia, PA 19106 USA. RP Kennedy, CM; Hawthorne, PL (reprint author), Nature Conservancy, Global Conservat Lands Program, Ft Collins, CO 80524 USA.; Kennedy, CM; Hawthorne, PL (reprint author), Univ Minnesota, Nat Capital Project & Inst Environm, Learning Environm Sci 325, 1954 Buford Ave, St Paul, MN 55108 USA. EM ckennedy@tnc.org; phawthorne@umn.edu RI ; Vieira, Emerson/F-3562-2010 OI Hawthorne, Peter/0000-0003-1125-5239; Sekercioglu, Cagan H./0000-0003-3193-0377; Kennedy, Christina/0000-0001-8902-8728; Hamel, Perrine/0000-0002-3083-8205; Vieira, Emerson/0000-0003-3488-621X; Miteva, Daniela/0000-0002-9123-646X FU Dow Chemical Company Foundation; Dow Chemical Company; Nature Conservancy; Anne Ray Charitable Trust; 3M Foundation FX We are grateful to E. Okumura, E. Garcia, C. Pereira, and J. Pereira for input on the sugarcane modeling. L Azevedo, J. Guimaraes, K. Voss, I. Alameddine, S. Thompson, and B. Keeler for input on the hydrologic modeling; E. Lonsdorf and E. Nelson for input on the biodiversity and optimization modeling. Funding was provided by The Dow Chemical Company Foundation, The Dow Chemical Company, The Nature Conservancy, Anne Ray Charitable Trust and The 3M Foundation. CR Armsworth PR, 2006, P NATL ACAD SCI USA, V103, P5403, DOI 10.1073/pnas.0505278103 Baccini A, 2012, NAT CLIM CHANGE, V2, P182, DOI [10.1038/NCLIMATE1354, 10.1038/nclimate1354] Banks-Leite C, 2014, SCIENCE, V345, P1041, DOI 10.1126/science.1255768 Bateman IJ, 2015, P NATL ACAD SCI USA, V112, P7408, DOI 10.1073/pnas.1406484112 Bateman IJ, 2013, SCIENCE, V341, P45, DOI 10.1126/science.1234379 Brabec EA, 2009, J HYDROL ENG, V14, P425, DOI 10.1061/(ASCE)1084-0699(2009)14:4(425) Brosi BJ, 2008, CONSERV LETT, V1, P27, DOI 10.1111/j.1755-263X.2008.00004.x Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148 Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106 Chaplin-Kramer R, 2015, P NATL ACAD SCI USA, V112, P7402, DOI 10.1073/pnas.1406485112 Cong RG, 2016, ECOL ECON, V128, P214, DOI 10.1016/j.ecolecon.2016.05.006 Cong RG, 2014, ECOL ECON, V99, P53, DOI 10.1016/j.ecolecon.2014.01.007 Davidson AD, 2009, P NATL ACAD SCI USA, V106, P10702, DOI 10.1073/pnas.0901956106 DeFries RS, 2004, FRONT ECOL ENVIRON, V2, P249, DOI 10.2307/3868265 Dow Chemical, 2008, 0078457 DOW CHEM Fischer J, 2014, CONSERV LETT, V7, P149, DOI 10.1111/conl.12084 Fischer J, 2009, TRENDS ECOL EVOL, V24, P549, DOI 10.1016/j.tree.2009.03.020 Gibbs HK, 2010, P NATL ACAD SCI USA, V107, P16732, DOI 10.1073/pnas.0910275107 Groffman P, 2006, ECOSYSTEMS, V9, P1, DOI 10.1007/s10021-003-0142-z Groot JCJ, 2007, AGR ECOSYST ENVIRON, V120, P58, DOI 10.1016/j.agee.2006.03.037 Haddad NM, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1500052 Hansen MC, 2013, SCIENCE, V342, P850, DOI 10.1126/science.1244693 Huggett AJ, 2005, BIOL CONSERV, V124, P301, DOI 10.1016/j.biocon.2005.01.037 Jenkins CN, 2013, P NATL ACAD SCI USA, V110, pE2602, DOI 10.1073/pnas.1302251110 Kennedy C.M., 2014, GEOSPATIAL DATA APPL, P28 Kennedy CM, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1501021 Klink CA, 2005, CONSERV BIOL, V19, P707, DOI 10.1111/j.1523-1739.2005.00702.x Koh LP, 2010, P NATL ACAD SCI USA, V107, P11140, DOI 10.1073/pnas.1000530107 Kremen C, 2015, ANN NY ACAD SCI, V1355, P52, DOI 10.1111/nyas.12845 Lapola DM, 2010, P NATL ACAD SCI USA, V107, P3388, DOI 10.1073/pnas.0907318107 Law EA, 2015, BIOL CONSERV, V186, P276, DOI 10.1016/j.biocon.2015.03.004 Lichtenstein ME, 2003, LAND ECON, V79, P56, DOI 10.2307/3147105 Mitchell MGE, 2015, TRENDS ECOL EVOL, V30, P190, DOI 10.1016/j.tree.2015.01.011 Naidoo R, 2008, P NATL ACAD SCI USA, V105, P9495, DOI 10.1073/pnas.0707823105 Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023 O'Farrell PJ, 2010, CURR OPIN ENV SUST, V2, P59, DOI 10.1016/j.cosust.2010.02.005 Phalan B, 2011, SCIENCE, V333, P1289, DOI 10.1126/science.1208742 Polasky S, 2008, BIOL CONSERV, V141, P1505, DOI 10.1016/j.biocon.2008.03.022 Polasky S, 2014, P NATL ACAD SCI USA, V111, P6248, DOI 10.1073/pnas.1404484111 Power AG, 2010, PHILOS T R SOC B, V365, P2959, DOI 10.1098/rstb.2010.0143 Qiu JX, 2013, P NATL ACAD SCI USA, V110, P12149, DOI 10.1073/pnas.1310539110 Ramankutty N, 2008, GLOBAL BIOGEOCHEM CY, V22, DOI 10.1029/2007GB002952 Scheffer M, 2012, SCIENCE, V338, P344, DOI 10.1126/science.1225244 Sekercioglu CH, 2012, J ORNITHOL, V153, pS153, DOI 10.1007/s10336-012-0869-4 Silva J.A.A.d., 2012, CODIGO FLORESTAL CIE, P124 Silva Jessica Santos da, 2014, Ambient. soc., V17, P115 Soares B, 2014, SCIENCE, V344, P363, DOI 10.1126/science.1246663 Sparovek G, 2007, BIOFUEL BIOPROD BIOR, V1, P270, DOI 10.1002/bbb.31 Sparovek G, 2012, ENVIRON SCI POLICY, V16, P65, DOI 10.1016/j.envsci.2011.10.008 Stallman HR, 2011, ECOL ECON, V71, P131, DOI 10.1016/j.ecolecon.2011.08.016 Strassburg BBN, 2014, GLOBAL ENVIRON CHANG, V28, P84, DOI 10.1016/j.gloenvcha.2014.06.001 Swift MJ, 2004, AGR ECOSYST ENVIRON, V104, P113, DOI 10.1016/j.agee.2004.01.013 Tallis H., 2015, ENV IMPACT ASSESS, V55, P21 Tallis H.T., 2013, INVEST 2 5 6 USERS G, P155 Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108 Tscharntke T, 2012, BIOL CONSERV, V151, P53, DOI 10.1016/j.biocon.2012.01.068 NR 56 TC 22 Z9 22 U1 8 U2 103 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0006-3207 EI 1873-2917 J9 BIOL CONSERV JI Biol. Conserv. PD DEC PY 2016 VL 204 BP 221 EP 230 DI 10.1016/j.biocon.2016.10.039 PN B PG 10 WC Biodiversity Conservation; Ecology; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA EG3TZ UT WOS:000390968900011 OA Other Gold DA 2019-04-09 ER PT J AU Hayek, UW von Wirth, T Neuenschwander, N Gret-Regamey, A AF Hayek, U. Wissen von Wirth, T. Neuenschwander, N. Gret-Regamey, A. TI Organizing and facilitating Geodesign processes: Integrating tools into collaborative design processes for urban transformation SO LANDSCAPE AND URBAN PLANNING LA English DT Article DE Collaborative planning; Geodesign; Societal values; GIS-based tools; Systems thinking; Regional and urban planning ID ECOLOGICAL DESIGN; LANDSCAPE; SUSTAINABILITY; SCIENCE; ATTACHMENT; CHALLENGES; QUALITY; MODELS; FUTURE; GROWTH AB Urban landscapes are characterized by interrelated effects among multiple socioeconomic and ecological systems at different scales. Due to insufficient understanding of these effects, contemporary developments in many cities and agglomerations result in urban landscape conditions seriously affecting environmental quality and human well-being. Enabling social learning and collective actions, and Geodesign approaches applying systems thinking using geographic knowledge, are regarded the keys to an urban transformation, which can better provide qualities valued and needed by society. Yet, there is little knowledge of how to organize and facilitate suitable processes. This article presents a procedural concept for integrating Geodesign into collaborative design processes using the example of a study in the Limmattal region in Switzerland. People's values frame the deliberative process over future urban development possibilities as well as the scientific methods and the choices they include for demand' analysis, option design, analysis of impacts of change, and trade-off analysis of conflicting values. The results of this study show how the different methods are made interoperable to provide deeper insights into people's demands, drivers of urban transformation and impacts of possible interventions on urban quality. Continual testing, demonstration and redesigning as time progresses are considered essential to accomplish urban transformation of higher quality. As the scientific methods and the process are inextricably linked, they should be further developed closely together. Thus, collaborative platforms should be established to foster ongoing design processes on the regional landscape development, coming along with a monitoring of social learning effects and the effectiveness of the methods. (C) 2016 Elsevier B.V. All rights reserved. C1 [Hayek, U. Wissen; Neuenschwander, N.; Gret-Regamey, A.] ETH, Inst Spatial & Landscape Dev, Planning Landscape & Urban Syst, Stefano Franscini Pl 5,HIL H 52-2, CH-8093 Zurich, Switzerland. [von Wirth, T.] ETH, Sci Society Interface, Transdisciplinar Lab, Dept Environm Syst Sci, Zurich, Switzerland. RP Hayek, UW (reprint author), ETH, Inst Spatial & Landscape Dev, Planning Landscape & Urban Syst, Stefano Franscini Pl 5,HIL H 52-2, CH-8093 Zurich, Switzerland. EM wissen@nsl.ethz.ch; timo.vonwirth@env.ethz.ch; neuenschwander@nsl.ethz.ch; gret@nsl.ethz.ch FU Swiss National Science Foundation's National Research Program "New Urban Quality" [NRP 65, 406540-130578] FX This work is part of the "SUPat-Sustainable Urban Patterns" project, which is funded by the Swiss National Science Foundation's National Research Program (NRP 65) "New Urban Quality" (http://www.nfp65.ch), Research Grant: 406540-130578. We are grateful to the numerous stakeholders for their active participation, reflections, and valuable input throughout the development of the methods and tools implemented in the Limmattal region. We thank Nicole Hurlimann for providing the procedural 3D visualization generated in her Master's thesis. We would also like to thank the three reviewers for their constructive comments that helped to further focus the paper. CR Aargau Canton, 2010, CANTONAL COMMUNAL ST Albert C, 2012, LANDSCAPE URBAN PLAN, V105, P347, DOI 10.1016/j.landurbplan.2011.12.024 Alberti M, 1996, ENVIRON IMPACT ASSES, V16, P381, DOI 10.1016/S0195-9255(96)00083-2 Badenhope J., 2014, PEER REV P DIG LANDS, P180 Batty M, 2013, ENVIRON PLANN B, V40, P1, DOI 10.1068/b4001ed Breuste J., 2013, ECOSYSTEM SERVICES A Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100 Childers DL, 2014, LANDSCAPE URBAN PLAN, V125, P320, DOI 10.1016/j.landurbplan.2014.01.022 Collier MJ, 2013, CITIES, V32, pS21, DOI 10.1016/j.cities.2013.03.010 Devine-Wright P, 2009, J COMMUNITY APPL SOC, V19, P426, DOI 10.1002/casp.1004 Efthymiou D., 2013, CONTEXT POLICY EVALU Elmqvist T., 2013, URBANIZATION BIODIVE, P710 Ervin S., 2014, PEER REV P DIG LANDS, P160 ESRI, ARCGIS FOR DESKT Esri, ESR CITYENGINE TRANS Flaxman M, 2010, PEER REV P DIG LANDS, P28 Flaxman M., 2014, GEOD SUMM REDL Goodchild M. F., 2010, CARTOGRAPHIC PERSPEC, V66, P7, DOI DOI 10.14714/CP66.93 Gret-Regamey A., 2014, PEER REV P DIG LANDS, P46 Gret-Regamey A, 2011, ENVIRON PLANN B, V38, P979, DOI 10.1068/b37083 Hayek UW, 2015, LANDSCAPE URBAN PLAN, V142, P47, DOI 10.1016/j.landurbplan.2015.05.010 Innes Judith, 2004, PLANNING THEORY PRAC, V5, P419, DOI DOI 10.1080/1464935042000293170 Jenks M, 2010, FUTURE CITY, V2, P1, DOI 10.1007/978-1-4020-8647-2_1 Kaimierczak A., 2013, LANDSCAPE URBAN PLAN, V109, P31 Keddie J., 2010, CITY CULTURE SOC, V1, P57, DOI [DOI 10.1016/J.CCS.2010.08.004, 10.1016/j.ccs.2010.08.004] Kim S, 2013, LANDSCAPE URBAN PLAN, V111, P79, DOI 10.1016/j.landurbplan.2012.12.001 Koch M., 2003, STADTLAND SCHWEIZ, P260 Le QB, 2012, ENVIRON MODELL SOFTW, V27-28, P83, DOI 10.1016/j.envsoft.2011.09.002 Maas J, 2009, HEALTH PLACE, V15, P586, DOI 10.1016/j.healthplace.2008.09.006 Mabelis Abraham A., 2009, International Journal of Biodiversity Science & Management, V5, P63, DOI 10.1080/17451590902978251 Matsuoka RH, 2008, LANDSCAPE URBAN PLAN, V84, P7, DOI 10.1016/j.landurbplan.2007.09.009 Meadows D. H., 2010, THINKING SYSTEMS PRI Miller W.R., 2012, INTRO GEODESIGN CONC Nassauer JI, 2008, LANDSCAPE ECOL, V23, P633, DOI 10.1007/s10980-008-9226-7 Nassauer JI, 2012, LANDSCAPE URBAN PLAN, V106, P221, DOI 10.1016/j.landurbplan.2012.03.014 Nassauer JI, 2009, LANDSCAPE URBAN PLAN, V92, P282, DOI 10.1016/j.landurbplan.2009.05.010 Neuenschwander N., 2012, DIG PHYS P 30 ECAADE, V1, P203 Opdam P, 2013, LANDSCAPE ECOL, V28, P1439, DOI 10.1007/s10980-013-9925-6 Pacione M, 2003, LANDSCAPE URBAN PLAN, V65, P21, DOI 10.1016/S0169-2046(02)00234-7 Pickett STA, 2013, CITIES, V32, pS10, DOI 10.1016/j.cities.2013.02.008 Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurpbplan.2003.10.035 Potschin MB, 2006, LANDSCAPE URBAN PLAN, V75, P155, DOI 10.1016/j.landurbplan.2005.03.006 Schetke S, 2012, ENVIRON IMPACT ASSES, V32, P195, DOI 10.1016/j.eiar.2011.08.008 Scholz R. W., 2002, EMBEDDED CASE STUDY Scholz R. W., 2011, ENV LITERACY SCI SOC Sevilla-Buitrago A, 2013, CITIES, V31, P454, DOI 10.1016/j.cities.2012.08.006 Shearer AW, 2005, ENVIRON PLANN B, V32, P67, DOI 10.1068/b3116 Slemp C, 2012, LANDSCAPE URBAN PLAN, V106, P139, DOI 10.1016/j.landurbplan.2012.02.017 Steiner F, 2014, LANDSCAPE URBAN PLAN, V125, P304, DOI 10.1016/j.landurbplan.2014.01.023 Steinitz C, 2014, PEER REV P DIG LANDS, P2 Steinitz C, 2010, DIGITAL LANDSCAPE AR, P2 Steinitz C, 2012, FRAMEWORK GEODESIGN Swaffield S, 2013, LANDSCAPE ECOL, V28, P1193, DOI 10.1007/s10980-012-9765-9 Theodori GL, 2001, RURAL SOCIOL, V66, P618 Tietje O., 2010, SYSTAIM SYSTEMQ UN-Habitat, 2012, STAT WORLDS CIT 2012 von Wirth T, 2015, SOC INDIC RES, V122, P189, DOI 10.1007/s11205-014-0682-y von Wirth T, 2014, TECHNOL FORECAST SOC, V89, P115, DOI 10.1016/j.techfore.2013.08.030 Waddell P, 2011, TRANSPORT REV, V31, P209, DOI 10.1080/01441647.2010.525671 Wilson M.W., 2014, LANDSCAPE URBAN PLAN Wu JG, 2013, LANDSCAPE ECOL, V28, P999, DOI 10.1007/s10980-013-9894-9 Zurich Canton, 2010, CANTONAL COMMUNAL ST NR 62 TC 8 Z9 8 U1 6 U2 32 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0169-2046 EI 1872-6062 J9 LANDSCAPE URBAN PLAN JI Landsc. Urban Plan. PD DEC PY 2016 VL 156 SI SI BP 59 EP 70 DI 10.1016/j.landurbplan.2016.05.015 PG 12 WC Ecology; Environmental Studies; Geography; Geography, Physical; Regional & Urban Planning; Urban Studies SC Environmental Sciences & Ecology; Geography; Physical Geography; Public Administration; Urban Studies GA EG3UA UT WOS:000390969000010 DA 2019-04-09 ER PT J AU Pina, A Ferrao, P Ferreira, D Santos, L Monit, M Rodrigues, JFD Niza, S AF Pina, Andre Ferrao, Paulo Ferreira, Daniela Santos, Luis Monit, Michal Rodrigues, Joao F. D. Niza, Samuel TI The physical structure of urban economies - Comparative assessment SO TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE LA English DT Article DE Urban metabolism; Material flow accounting; Input-output; Sustainability; Urban economies ID DIRECT MATERIAL INPUTS; METABOLISM; CITIES; WATER; TRANSITIONS; FLOWS AB Urban metabolism provides a characterization of anthropogenic material flows in urban systems and should contribute to identify the economic activities that were involved on their supply and transformation. Typically, its quantification requires data that is not easily available in different geographies. This paper makes use of a methodology based on monetary input-output tables and international trade statistics that might be easily replicable to many metropolitan areas in the world, and which is intended to provide a first rough estimation of urban material flows. The paper discusses the results obtained for four metropolitan areas (Lisbon, Paris, Seoul-Incheon and Shanghai), assessing the material requirements of these economies. The urban areas are compared in terms of the quantity and the type of material input, destination of materials within the economy and their distribution among economic activities. The results showed that while Lisbon is the most diverse urban area in terms of the consumption of material types, it is also the urban area with the least diversified manufacturing sector. The application of this methodology to several urban areas and across multiple years enables the assessment of the technological and economic evolution of those regions. (C) 2015 Elsevier Inc. All rights reserved. C1 [Pina, Andre; Ferrao, Paulo; Ferreira, Daniela; Santos, Luis; Monit, Michal; Niza, Samuel] Univ Lisbon, Ctr Innovat Technol & Policy Res, Inst Super Tecn, IN, Av Rovisco Pais 1, P-1049001 Lisbon, Portugal. [Rodrigues, Joao F. D.] Leiden Univ, Inst Environm Sci CML, POB 9518, NL-2300 RA Leiden, Netherlands. RP Pina, A (reprint author), Inst Super Tecn, Ctr Innovat Technol & Policy Res, Dept Mech Engn, IN, Av Rovisco Pais,Pav Mecan 2,2 Andar, P-1049001 Lisbon, Portugal. EM andre.pina@tecnico.ulisboa.pt RI Pina, Andre/H-9454-2013; Niza, Samuel/A-6592-2009 OI Pina, Andre/0000-0002-1575-4580; Silveira Santos, Luis/0000-0002-9420-8843; Ferrao, Paulo/0000-0003-1357-9966; FCCN, Bogus4/0000-0001-5373-6378; Niza, Samuel/0000-0003-0679-4027 FU Fundacao para a Ciencia e Tecnologia [PTDC/SEN-ENR/111710/2009]; InteGerSUM [PTDC/SEN-ENR/121747/2010]; [SFRH/BPD/96459/2013] FX The authors acknowledge the Fundacao para a Ciencia e Tecnologia for the support of the projects MeSur (PTDC/SEN-ENR/111710/2009) and InteGerSUM (PTDC/SEN-ENR/121747/2010) as well as the post-doctoral financial support (SFRH/BPD/96459/2013). CR [Anonymous], 2012, METROPOLITAN POLICY Barles S, 2009, J IND ECOL, V13, P898, DOI 10.1111/j.1530-9290.2009.00169.x Barrett J., 2002, TECHNICAL REPORT Bos JJ, 2012, TECHNOL FORECAST SOC, V79, P1340, DOI 10.1016/j.techfore.2012.04.006 Bringezu S, 2004, ECOL ECON, V51, P97, DOI 10.1016/j.ecolecon.2004.04.010 Bringezu S., 1999, 3 CONACCOUNT M EC SO Buckley R, 2009, URBANIZATION GROWTH Coxx W., 2011, EVOLVING URBAN FORM de Graaf R, 2010, TECHNOL FORECAST SOC, V77, P1282, DOI 10.1016/j.techfore.2010.03.011 Dixon T, 2014, TECHNOL FORECAST SOC, V89, P131, DOI 10.1016/j.techfore.2013.08.027 EEA, 1999, 25 EEA EUROSTAT, 2001, EC WID MAT FLOW ACC Ferrao P, 2013, SUSTAINABLE URBAN METABOLISM, P1 Hammer M., 2006, NEDS WORKING PAPERS Hausmann S., 2014, ATLAS EC COMPLEXITY Hill RC, 2000, URBAN STUD, V37, P2167 Karaca F, 2015, TECHNOL FORECAST SOC, V90, P456, DOI 10.1016/j.techfore.2014.04.008 Kennedy C, 2011, EVOLUTION GREAT WORL Kennedy C, 2007, J IND ECOL, V11, P43, DOI 10.1162/jie.2007.1107 Marteleira R, 2014, RESOUR CONSERV RECY, V82, P63, DOI 10.1016/j.resconrec.2013.10.016 Niza S, 2009, J IND ECOL, V13, P384, DOI 10.1111/j.1530-9290.2009.00130.x Rosado L, 2014, J IND ECOL, V18, P84, DOI 10.1111/jiec.12083 Schandl H, 2009, TECHNOL FORECAST SOC, V76, P267, DOI 10.1016/j.techfore.2007.12.004 Schulz NB, 2007, J IND ECOL, V11, P117, DOI 10.1162/jie.2007.1200 Seto KC, 2010, CURR OPIN SUST, V2, P127, DOI 10.1016/j.cosust.2010.07.003 Spickermann A, 2014, TECHNOL FORECAST SOC, V89, P201, DOI 10.1016/j.techfore.2013.08.036 Steinberger JK, 2010, ECOL ECON, V69, P1148, DOI 10.1016/j.ecolecon.2009.12.009 Szirmai V., 2012, REG STAT, V2, P129 Walcott SM, 2006, HABITAT INT, V30, P199, DOI 10.1016/j.habitatint.2004.02.005 Weisz H, 2006, ECOL ECON, V58, P676, DOI 10.1016/j.ecolecon.2005.08.016 Wiedmann TO, 2013, P NATL ACAD SCI WOLMAN A, 1965, SCI AM, V213, P179 NR 32 TC 2 Z9 2 U1 4 U2 10 PU ELSEVIER SCIENCE INC PI NEW YORK PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA SN 0040-1625 EI 1873-5509 J9 TECHNOL FORECAST SOC JI Technol. Forecast. Soc. Chang. PD DEC PY 2016 VL 113 BP 220 EP 229 DI 10.1016/j.techfore.2015.05.012 PN B PG 10 WC Business; Regional & Urban Planning SC Business & Economics; Public Administration GA EG0PP UT WOS:000390735000008 DA 2019-04-09 ER PT J AU Nhu, TT Schaubroeck, T Henriksson, PJG Bosma, R Sorgeloos, P Dewulf, J AF Nhu, Trang T. Schaubroeck, Thomas Henriksson, Patrik J. G. Bosma, Roel Sorgeloos, Patrick Dewulf, Jo TI Environmental impact of non-certified versus certified (ASC) intensive Pangasius aquaculture in Vietnam, a comparison based on a statistically supported LCA SO ENVIRONMENTAL POLLUTION LA English DT Article DE Aquaculture Stewardship Council (ASC); Environmental impact; LCA; Pangasius; Vietnam ID LIFE-CYCLE ASSESSMENT; RESOURCE USE; UNCERTAINTY; EXERGY; CERTIFICATION; PRODUCTS; SYSTEMS AB Pangasius production in Vietnam is widely known as a success story in aquaculture, the fastest growing global food system because of its tremendous expansion by volume, value and the number of international markets to which Pangasius has been exported in recent years. While certification schemes are becoming significant features of international fish trade and marketing, an increasing number of Pangasius producers have followed at least one of the certification schemes recognised by international markets to incorporate environmental and social sustainability practices in aquaculture, typically the Pangasius Aquaculture Dialogue (PAD) scheme certified by the Aquaculture Stewardship Council (ASC). An assessment of the environmental benefit of applying certification schemes on Pangasius production, however, is still needed. This article compared the environmental impact of ASC-certified versus non-ASC certified intensive Pangasius aquaculture, using a statistically supported LCA. We focused on both resource-related (water, land and total resources) and emissions-related (global warming, acidification, freshwater and marine eutrophication) categories. The ASC certification scheme was shown to be a good approach for determining adequate environmental sustainability, especially concerning emissions related categories, in Pangasius production. However, the non-ASC certified farms, due to the large spread, the impact (e.g., water resources and freshwater eutrophication) was possibly lower for a certain farm. However, this result was not generally prominent. Further improvements in intensive Pangasius production to inspire certification schemes are proposed, e.g., making the implementation of certification schemes more affordable, well-oriented and facilitated; reducing consumed feed amounts and of the incorporated share in fishmeal, especially domestic fishmeal, etc. However, their implementation should be vetted with key stakeholders to assess their feasibility. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Nhu, Trang T.; Schaubroeck, Thomas; Dewulf, Jo] Univ Ghent, Fac Biosci Engn, Dept Sustainable Organ Chem & Technol, Res Grp EnVOC, Coupure Links 653, B-9000 Ghent, Belgium. [Henriksson, Patrik J. G.] Stockholm Univ, Stockholm Resilience Ctr, Kraftriket 2B, S-11419 Stockholm, Sweden. [Henriksson, Patrik J. G.] WorldFish, Jalan Batu Maung, George Town 11960, Malaysia. [Bosma, Roel] Wageningen Univ, Aquaculture & Fisheries, Marijkeweg 40, NL-6709 PG Wageningen, Netherlands. [Sorgeloos, Patrick] Univ Ghent, Lab Aquaculture, Rozier 44, B-9000 Ghent, Belgium. [Sorgeloos, Patrick] Univ Ghent, Artemia Reference Ctr, Rozier 44, B-9000 Ghent, Belgium. RP Nhu, TT (reprint author), Univ Ghent, Fac Biosci Engn, Dept Sustainable Organ Chem & Technol, Res Grp EnVOC, Coupure Links 653, B-9000 Ghent, Belgium. EM Trang.nhuthuy@ugent.be OI Henriksson, Patrik JG/0000-0002-3439-623X; Nhu, Trang/0000-0003-4270-9635 FU Special Research Fund (BOF) of Ghent University [01D03311] FX This work was supported by the Special Research Fund (BOF) of Ghent University (grant number 01D03311). The authors wish to thank Peter ter Heide and the staff from Can Tho University for collecting some of the data and the catfish producers for providing information. CR Alvarenga RAF, 2013, INT J LIFE CYCLE ASS, V18, P939, DOI 10.1007/s11367-013-0555-7 Anh PT, 2010, AQUAC RES, V42, P108 ASC, 2012, ASC PANG STAND VERS, P70 Astudillo MF, 2015, INT J LIFE CYCLE ASS, V20, P1387, DOI 10.1007/s11367-015-0950-3 Avadi A, 2016, INT J LIFE CYCLE ASS, V21, P476, DOI 10.1007/s11367-016-1036-6 Ayer NW, 2009, J CLEAN PROD, V17, P362, DOI 10.1016/j.jclepro.2008.08.002 Belton B, 2011, FOOD POLICY, V36, P289, DOI 10.1016/j.foodpol.2010.11.027 Bosch ME, 2007, INT J LIFE CYCLE ASS, V12, P181, DOI 10.1065/lca2006.11.282 Bosma R, 2011, INT J LIFE CYCLE ASS, V16, P903, DOI 10.1007/s11367-011-0324-4 Bush Simon R., 2009, Aquaculture Economics and Management, V13, P271, DOI 10.1080/13657300903351594 Chen Y, 2016, ENVIRON POLLUT, V212, P489, DOI 10.1016/j.envpol.2016.02.039 Dewulf J, 2008, ENVIRON SCI TECHNOL, V42, P2221, DOI 10.1021/es071719a FAO, 2014, STAT WORLD FISH AQ, P243 Frischknecht R., 2007, 1 SWISS CTR LIF CYCL, P68 Goedkoop M., 2013, V51 PRE SUST, P80 Goedkoop Mark, 2013, RECIPE 2008 LIFE CYC, P133 Henriksson P. J. G., 2014, PRIMARY DATA LIT SOU, P132 Henriksson PJG, 2015, ENVIRON SCI TECHNOL, V49, P14176, DOI 10.1021/acs.est.5b04634 Henriksson PJG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121221 Henriksson PJG, 2014, INT J LIFE CYCLE ASS, V19, P429, DOI 10.1007/s11367-013-0647-4 Huijbregts M, 2002, INT J LIFE CYCLE ASS, V7, P173, DOI 10.1007/BF02994052 Huysveld S, 2013, J CLEAN PROD, V51, P225, DOI 10.1016/j.jclepro.2013.01.024 ISO, 2006, 14044 ISO, P46 ISO, 2006, 14040 ISO, P20 Jonell M, 2013, AMBIO, V42, P659, DOI 10.1007/s13280-013-0409-3 Lloyd SM, 2007, J IND ECOL, V11, P161, DOI 10.1162/jiec.2007.1136 Luong AD, 2015, ENVIRON SCI TECHNOL, V49, P11586, DOI 10.1021/acs.est.5b02515 Marschke M, 2014, MAR POLICY, V50, P197, DOI 10.1016/j.marpol.2014.06.010 Nhu TT, 2016, RESOUR CONSERV RECY, V115, P42, DOI 10.1016/j.resconrec.2016.08.023 Nhu TT, 2015, RESOUR CONSERV RECY, V102, P27, DOI 10.1016/j.resconrec.2015.06.011 Pelletier N, 2008, ENVIRON MANAGE, V42, P918, DOI 10.1007/s00267-008-9148-9 Pelletier NL, 2007, INT J LIFE CYCLE ASS, V12, P414, DOI 10.1065/lca2006.09.275 Phan LT, 2009, AQUACULTURE, V296, P227, DOI 10.1016/j.aquaculture.2009.08.017 Bojaca CR, 2010, INT J LIFE CYCLE ASS, V15, P238, DOI 10.1007/s11367-010-0150-0 Rico A, 2013, AQUACULTURE, V412, P231, DOI 10.1016/j.aquaculture.2013.07.028 Swart P., 2015, LIFE CYCLE IMPACT AS, P339 Nhu TT, 2015, J CLEAN PROD, V100, P170, DOI 10.1016/j.jclepro.2015.03.030 VASEP, 2014, PANG 26 Q A, P84 Wasserstein RL, 2016, AM STAT, V70, P129, DOI 10.1080/00031305.2016.1154108 Ziegler F., 2016, FISH FISH NR 40 TC 10 Z9 10 U1 1 U2 31 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0269-7491 EI 1873-6424 J9 ENVIRON POLLUT JI Environ. Pollut. PD DEC PY 2016 VL 219 BP 156 EP 165 DI 10.1016/j.envpol.2016.10.006 PG 10 WC Environmental Sciences SC Environmental Sciences & Ecology GA EG0PG UT WOS:000390734100019 PM 27814531 DA 2019-04-09 ER PT J AU Hipolito, J Viana, BF Garibaldi, LA AF Hipolito, Juliana Viana, Blandina Felipe Garibaldi, Lucas A. TI The value of pollinator-friendly practices: Synergies between natural and anthropogenic assets SO BASIC AND APPLIED ECOLOGY LA English DT Article DE Conservation; Pollinators; Crop yield; Socio-economic analysis; Pollinator -friendly practices ID ECOSYSTEM SERVICES; LAND-USE; AGRICULTURE; BIODIVERSITY; MANAGEMENT; DIVERSITY; YIELDS; BEES; SUSTAINABILITY; COUNTRIES AB Sustainable livelihoods and human well-being depend on multiple anthropogenic and natural assets (stock of materials or information that exists in a point in time). However, the simultaneous and multiple impacts of land-use decisions on these assets are often ignored. In this study, we focus on pollinator-friendly practices (PIT: practices that intend to increase the abundance and diversity of natural pollinators) to quantify the multi-dimensional value of land-use decisions and to address potential synergies and trade-offs among assets. We combined socio-economic and ecological methods to quantify natural (pollinator richness) and anthropogenic (human, physical, social, and financial) assets in 30 coffee plantations with a gradient in the number of PFP in eastern Brazil. We found that an increase in the number of PFP resulted in both enhanced flower-visitor richness (natural asset) and coffee yield (financial asset). Farmers who dedicated more time to field work than to administrative work applied more PFP on their farms. Our results highlight that land-use decisions oriented toward enhancing natural assets can also provide the highest levels of financial assets. This provides a general framework for efforts toward ecological intensification that can be employed in other regions. C1 [Hipolito, Juliana; Garibaldi, Lucas A.] Univ Nacl Rio Negro, Inst Invest Recursos Nat Agroecol & Desarrollo Ru, Sede Andina, Mitre 630, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina. [Hipolito, Juliana; Garibaldi, Lucas A.] Consejo Nacl Invest Cient & Tecn, Mitre 630, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina. [Hipolito, Juliana; Viana, Blandina Felipe] Univ Fed Bahia, Inst Biol, Campus Ondina,Rua Bardo de Geremoabo S-N, Salvador, BA, Brazil. RP Hipolito, J (reprint author), Univ Fed Bahia, Inst Biol, Campus Ondina,Rua Bardo de Geremoabo S-N, Salvador, BA, Brazil. EM jhdsousa@yahoo.com RI Hipolito, Juliana/D-3704-2013 OI Hipolito, Juliana/0000-0002-0721-3143; Garibaldi, Lucas Alejandro/0000-0003-0725-4049 FU GEF/UNEP/FAO; MMA; Capes; CNPq FX We would like to thank GEF/UNEP/FAO, MMA, Capes and CNPq for financial support. We are thankful to all farmers that kindly helped with this work and made it possible. We would also like to express our thanks to CNPq for the scholarship to B.F. Viana and for PVE (Science without borders Program) for supporting scholarships to J. Hipolito and L. Garibaldi. Finally we would thanks to N. Azzu, G. Andersson and A, Castilla for English revision and valuable comments, as well as C. Coulin, M. Goldenberg, C. Pigozzo, F.O. Silva, M. Castro, C. Al Carvalho, and one anonymous reviewer for comments on earlier versions of the manuscript. CR Barton K., 2015, MUMIN MULTIMODEL INF Belfrage K, 2005, AMBIO, V34, P582, DOI 10.1639/0044-7447(2005)034[0582:TEOFSA]2.0.CO;2 Biesmeijer JC, 2006, SCIENCE, V313, P351, DOI 10.1126/science.1127863 Blaauw BR, 2014, J APPL ECOL, V51, P890, DOI 10.1111/1365-2664.12257 Christie M, 2012, ECOL ECON, V83, P67, DOI 10.1016/j.ecolecon.2012.08.012 Clough Y, 2011, P NATL ACAD SCI USA, V108, P8311, DOI 10.1073/pnas.1016799108 Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0 DFID, 1999, SUST LIV GUID SHEETS, P26 Evenson RE, 2003, SCIENCE, V300, P758, DOI 10.1126/science.1078710 Farber S, 2006, BIOSCIENCE, V56, P121, DOI 10.1641/0006-3568(2006)056[0121:LEAEFE]2.0.CO;2 Fischer J, 2008, FRONT ECOL ENVIRON, V6, P382, DOI 10.1890/070019 Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772 Gallai N, 2009, ECOL ECON, V68, P810, DOI 10.1016/j.ecolecon.2008.06.014 Garibaldi L. A., 2014, FRONTIERS ECOLOGY EN Garibaldi L. A., 2016, QUANTITATIVE APPROAC, P55 Garibaldi LA, 2016, SCIENCE, V351, P388, DOI 10.1126/science.aac7287 Greenleaf SS, 2007, OECOLOGIA, V153, P589, DOI 10.1007/s00442-007-0752-9 Gutzler C, 2015, ECOL INDIC, V48, P505, DOI 10.1016/j.ecolind.2014.09.004 Hanley N., 2014, ECOSYSTEM SERVICES Hein L., 2009, EC VALUE POLLINATION, P74 Howarth RB, 2002, ECOL ECON, V41, P421, DOI 10.1016/S0921-8009(02)00091-5 IPBES, 2013, DEC IPBES 2 4 CONC F Jaffe R, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121157 Klein AM, 2007, P ROY SOC B-BIOL SCI, V274, P303, DOI 10.1098/rspb.2006.3721 Kremen C, 2012, ECOLOGY SOC, P17 LANDEFELD JS, 1982, AM J PUBLIC HEALTH, V72, P555, DOI 10.2105/AJPH.72.6.555 Laurila-Pant M, 2015, ECOL INDIC, V55, P1, DOI 10.1016/j.ecolind.2015.02.034 Morcillo F. M., 2008, EC PRINCIPIOS APLICA Nelson R, 2010, ENVIRON SCI POLICY, V13, P18, DOI 10.1016/j.envsci.2009.09.007 Neves T. V. P., 2010, CARACTERIZACAO CAFEI OECD, 2000, P OECD ROM C, P416 Olschewski R, 2010, ECOL COMPLEX, V7, P314, DOI 10.1016/j.ecocom.2010.01.002 Potts SG, 2010, J APICULT RES, V49, P15, DOI 10.3896/IBRA.1.49.1.02 Power AG, 2010, PHILOS T R SOC B, V365, P2959, DOI 10.1098/rstb.2010.0143 Pretty J, 2004, CONSERV BIOL, V18, P631, DOI 10.1111/j.1523-1739.2004.00126.x Pretty J, 2003, SCIENCE, V302, P1912, DOI 10.1126/science.1090847 Pretty JN, 2006, ENVIRON SCI TECHNOL, V40, P1114, DOI 10.1021/es051670d Pretty J, 2008, PHILOS T R SOC B, V363, P447, DOI 10.1098/rstb.2007.2163 R Core Team, 2015, R LANG ENV STAT COMP Roubik DW, 2002, NATURE, V417, P708, DOI 10.1038/417708a Salles JM, 2011, CR BIOL, V334, P469, DOI 10.1016/j.crvi.2011.03.008 Salzman J, 2001, STAN ENV LJ, V20, P309 Seufert V, 2012, NATURE, V485, P229, DOI 10.1038/nature11069 Steffan-Dewenter I, 1999, OECOLOGIA, V121, P432, DOI 10.1007/s004420050949 Steward P. R., 2014, AGR FOOD SECURITY, V3, P5, DOI DOI 10.1186/2048-7010-3-5 Tilman D, 2001, SCIENCE, V292, P281, DOI 10.1126/science.1057544 Wood TJ, 2015, BIOL CONSERV, V187, P120, DOI 10.1016/j.biocon.2015.04.022 Wurtenberger L, 2006, ECOL ECON, V57, P679, DOI 10.1016/j.ecolecon.2005.06.004 Zhang W, 2007, ECOL ECON, V64, P253, DOI 10.1016/j.ecolecon.2007.02.024 NR 49 TC 2 Z9 2 U1 7 U2 60 PU ELSEVIER GMBH, URBAN & FISCHER VERLAG PI JENA PA OFFICE JENA, P O BOX 100537, 07705 JENA, GERMANY SN 1439-1791 EI 1618-0089 J9 BASIC APPL ECOL JI Basic Appl. Ecol. PD DEC PY 2016 VL 17 IS 8 BP 659 EP 667 DI 10.1016/j.baae.2016.09.003 PG 9 WC Ecology SC Environmental Sciences & Ecology GA EE3TD UT WOS:000389520400001 DA 2019-04-09 ER PT J AU Lieberherr, E Fuenfschilling, L AF Lieberherr, Eva Fuenfschilling, Lea TI Neoliberalism and sustainable urban water sectors: A critical reflection of sector characteristics and empirical evidence SO ENVIRONMENT AND PLANNING C-GOVERNMENT AND POLICY LA English DT Article DE Neoliberalism; urban water; water characteristics; sustainability; industrialised countries ID GOVERNANCE; PERFORMANCE; ENGLAND; WALES AB Urban water sectors in industrialised countries are increasingly facing a diverse range of challenges. Aging assets, environmental concerns and economic issues put pressure on the current governance and organisation of these sectors. In recent years, a plethora of neoliberal reforms have been initiated in various countries as efforts to counteract these developments. While rather successful in infrastructure sectors, such as energy or telecommunication, neoliberal reforms have proven difficult in many industrialised, urban water sectors. The article argues that this is related to distinct characteristics of the water sectors. Specificities include large-scale technologies, high externalities and the nature of the good. This article analyses these key characteristics of urban water sectors and shows their implications and challenges for neoliberal reforms by drawing on the privatisation of the English water sectors. The results show key trade-offs between economic and environmental issues, and less with social goals. C1 [Lieberherr, Eva; Fuenfschilling, Lea] Swiss Fed Inst Technol, ETH, Zurich, Switzerland. [Lieberherr, Eva; Fuenfschilling, Lea] Swiss Fed Inst Aquat Sci & Technol, Eawag, Dubendorf, Switzerland. [Fuenfschilling, Lea] Lund Univ, Ctr Innovat Res & Competence Learning Econ CIRCLE, Lund, Sweden. RP Lieberherr, E (reprint author), Swiss Fed Inst Technol, ETH, Zurich, Switzerland. EM eva.lieberherr@usys.ethz.ch OI Lieberherr, Eva/0000-0001-5985-0809 CR Allouche Jeremy, 2007, WATER LIBERALISATION, P1 Araral E., 2009, POLICY SOC, V27, P221, DOI [DOI 10.1016/J.P0LS0C.2008.10.006, 10.1016/j.polsoc.2008.10.006] Araral E, 2015, WATER POLICY, V17, P268, DOI 10.2166/wp.2014.053 Araral E, 2013, WATER RESOUR MANAG, V27, P3945, DOI 10.1007/s11269-013-0389-x Bakker KJ, 2003, GEOFORUM, V34, P359, DOI 10.1016/S0016-7185(02)00092-1 Bakker KJ, 2001, T I BRIT GEOGR, V26, P143, DOI 10.1111/1475-5661.00012 Bakker KJ, 2000, ECON GEOGR, V76, P4, DOI 10.2307/144538 Bel G, 2008, RESOUR CONSERV RECY, V52, P1337, DOI 10.1016/j.resconrec.2008.07.014 Bennett A., 2004, CASES NUMBERS MODELS, P27 Cashman A, 2008, FORESIGHT, V10, P9, DOI 10.1108/14636680810883099 Considine M, 2003, PUBLIC ADMIN REV, V63, P131, DOI 10.1111/1540-6210.00274 Dassler T., 2006, Utilities Policy, V14, P166, DOI 10.1016/j.jup.2006.04.001 de la Motte R, 2005, WATERTIME CASE STUDI, P1 Defra, 2008, FUT WAT GOV WAT STRA Espeland W., 1998, STRUGGLE WATER POLIT Evers H. D., 2009, Water Alternatives, V2, P416 Farsi M, 2007, 59 CEPESWISS FED I T, P1 Finger M., 2002, WATER PRIVATISATION Fitch M., 2002, WATER POVERTY ENGLAN Fuenfschilling L, 2014, THESIS Fuenfschilling L, 2014, RES POLICY, V43, P772, DOI 10.1016/j.respol.2013.10.010 Garcia S, 2007, WATER LIBERALIZATION, P54 Gleick P, 2012, THE WORLDS WATER Gottlieb R, 1988, LIFE ITS OWN POLITIC Graham S., 1994, UTIL POLICY, V4, P113 GRAY A, 1995, PUBLIC ADMIN, V73, P75, DOI 10.1111/j.1467-9299.1995.tb00818.x Gray D., 2011, REV OFWAT CONSUMER R Guthrie G, 2006, J ECON LIT, V44, P925, DOI 10.1257/jel.44.4.925 Hirst P., 2000, DEBATING GOVERNANCE, P13 Kiparsky M, 2013, ENVIRON ENG SCI, V30, P395, DOI 10.1089/ees.2012.0427 Kuhlmann S, 2008, PUBLIC MANAG REV, V10, P573, DOI 10.1080/14719030802264234 Lieberherr E, 2012, THESIS Lieberherr E, 2015, ENVIRON INNOV SOC TR, V15, P101, DOI 10.1016/j.eist.2013.12.002 Luis-Manso P, 2009, COMPETITION REGULATI, V2, P115 Luis-Manso P, 2007, WATER LIBERALISATION, P82 Markard J, 2011, J INFRASTRUCT SYST, V17, P107, DOI 10.1061/(ASCE)IS.1943-555X.0000056 Massarutto A, 2007, WATER LIBERALIZATION, P196 Menard C., 2009, REGULATION DEREGULAT, P83 Molle F., 2009, Water Alternatives, V2, P328 [OECD OECD], 2011, OECD STUD WAT Ofwat, 2009, WAT IND FACTS FIG Ofwat, 2011, WAT TOD WAT TOM Ofwat, 2010, OFW WAT TOD WAT TOM Organization for Economic Cooperation and Development (OECD), 2009, MAN WAT ALL OECD PER Pahl-Wostl C, 2015, WATER GOVERNANCE FAC Palaniappan M, 2007, OECD INFRASTRUCTURE Perard E., 2009, POLICY SOC, V27, P193, DOI [10.1016/j.polsoc.2008.10.004, DOI 10.1016/J.P0L-S0C.2008.10.004, DOI 10.1016/J.POLSOC.2008.10.004] Petersen T, 2009, ECOL ECON, V68, P2058, DOI 10.1016/j.ecolecon.2009.01.008 Prosser T, 2005, LIMITS COMPETITION L Renzetti S, 2004, J TOXICOL ENV HEAL A, V67, P1861, DOI 10.1080/15287390490492340 Rogers P., 2002, WATER POLICY, V4, P1, DOI DOI 10.1016/S1366-7017(02)00004-1 Rothenberger D, 2004, GREENER MANAGEMENT I, V42, P21 Rugemalila R, 2015, ENVIRON PLANN C, V33, P412, DOI 10.1068/c1324 Schouten M., 2009, STRATEGY PERFORMANCE Schouten M, 2007, EUROPEAN WATER SUPPL Shaoul J., 1997, CRIT PERSPECT, V8, P479, DOI DOI 10.1006/CPAC.1996.0118 SHIRLEY M., 2002, THIRSTING EFFICIENCY Swyngedouw Erik, 2002, PARTICIPATORY GOVERN, P107 Truffer B., 2012, WASTEWATER TREATMENT, P209 Varone Frederic, 2007, WATER LIBERALISATION, P34 Von Weizsacker E. U, 2005, LIMITS PRIVATISATION NR 61 TC 3 Z9 3 U1 4 U2 10 PU SAGE PUBLICATIONS LTD PI LONDON PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND SN 0263-774X EI 1472-3425 J9 ENVIRON PLANN C JI Environ. Plan. C-Gov. Policy PD DEC PY 2016 VL 34 IS 8 BP 1540 EP 1555 DI 10.1177/0263774X15625994 PG 16 WC Environmental Studies; Public Administration SC Environmental Sciences & Ecology; Public Administration GA EE4OW UT WOS:000389583500009 DA 2019-04-09 ER PT J AU Ellingsen, LAW Hung, CR Majeau-Bettez, G Singh, B Chen, ZW Whittingham, MS Stromman, AH AF Ellingsen, Linda Ager-Wick Hung, Christine Roxanne Majeau-Bettez, Guillaume Singh, Bhawna Chen, Zhongwei Whittingham, M. Stanley Stromman, Anders Hammer TI Nanotechnology for environrnentally sustainable electrornobility SO NATURE NANOTECHNOLOGY LA English DT Article ID LIFE-CYCLE ASSESSMENT; LITHIUM-ION BATTERY; PROTON CONDUCTING MEMBRANES; PLUG-IN HYBRID; OXYGEN REDUCTION; ELECTRIC VEHICLES; CARBON NANOTUBES; ALLOY ELECTROCATALYSTS; ENVIRONMENTAL-IMPACT; SILICON NANOWIRES AB Electric vehicles (EVs) powered by lithium-ion batteries (LIBs) or proton exchange membrane hydrogen fuel cells (PEMFCs) offer important potential climate change mitigation effects when combined with clean energy sources. The development of novel nanomaterials may bring about the next wave of technical improvements for LIBs and PEMFCs. If the next generation of EVs is to lead to not only reduced emissions during use but also environmentally sustainable production chains, the research on nanomaterials for LIBs and PEMFCs should be guided by a life-cycle perspective. In this Analysis, we describe an environmental life-cycle screening framework tailored to assess nanomaterials for electromobility. By applying this framework, we offer an early evaluation of the most promising nanomaterials for LIBs and PEMFCs and their potential contributions to the environmental sustainability of EV life cycles. Potential environmental trade-offs and gaps in nanomaterials research are identified to provide guidance for future nanomaterial developments for electromobility. C1 [Ellingsen, Linda Ager-Wick; Hung, Christine Roxanne; Majeau-Bettez, Guillaume; Singh, Bhawna; Stromman, Anders Hammer] Norwegian Univ Sci & Technol NTNU, Ind Ecol Programme, Sem Saelands Vei 7, NO-7491 Trondheim, Norway. [Ellingsen, Linda Ager-Wick; Hung, Christine Roxanne; Majeau-Bettez, Guillaume; Singh, Bhawna; Stromman, Anders Hammer] Norwegian Univ Sci & Technol NTNU, Dept Energy & Proc Engn, Sem Saelands Vei 7, NO-7491 Trondheim, Norway. [Majeau-Bettez, Guillaume] Ecole Polytech, CIRAIG, 3333 Chemin Queen Mary,Bur 310, Montreal, PQ H3C 3A7, Canada. [Chen, Zhongwei] Univ Waterloo, Dept Chem Engn, E6-2006,200 Univ Ave West, Waterloo, ON N2L 3G1, Canada. [Chen, Zhongwei] Univ Waterloo, Dept Mech & Mechatron Engn, E6-2006,200 Univ Ave West, Waterloo, ON N2L 3G1, Canada. [Whittingham, M. Stanley] SUNY Binghamton, NorthEast Ctr Chem Energy Storage, 4400 Vestal Pkwy East, Binghamton, NY 13902 USA. RP Ellingsen, LAW (reprint author), Norwegian Univ Sci & Technol NTNU, Ind Ecol Programme, Sem Saelands Vei 7, NO-7491 Trondheim, Norway.; Ellingsen, LAW (reprint author), Norwegian Univ Sci & Technol NTNU, Dept Energy & Proc Engn, Sem Saelands Vei 7, NO-7491 Trondheim, Norway. EM linda.a.ellingsen@ntnu.no RI chen, zhongwei/A-5605-2015 OI chen, zhongwei/0000-0003-3463-5509; Hung, Christine/0000-0003-1294-4757; Majeau-Bettez, Guillaume/0000-0002-0151-2468 FU Norwegian University of Science and Technology; Research Council of Norway through the Centre for Sustainable Energy Studies [209697]; European Union [646286] FX The authors thank D. U. Lee and H. Zarrin for internal review and discussions. We also thank C. Bangs, D. Rickert, M. Quix, C. Stuyck, R. Weyhe and Q. Pan for communication on recycling of PEMFCs and LIBs. We also thank B. Reck and X. Hu for discussions. This work was financed by the Norwegian University of Science and Technology, the Research Council of Norway through the Centre for Sustainable Energy Studies (grant 209697), and the European Union's Horizon 2020 research and innovation programme (grant 646286). The authors remain solely responsible for the content of this article. CR Alia SM, 2014, ACS CATAL, V4, P1114, DOI 10.1021/cs401081w Anastas P. T, 1998, GREEN CHEM THEORY PR Anastas P, 2010, CHEM SOC REV, V39, P301, DOI 10.1039/b918763b Anderman M., 2016, TESLA BATTERY REPORT [Anonymous], 2015, SAF DAT SHEET LITH M [Anonymous], 2015, SAF DAT SHEET CHROM [Anonymous], 2015, SAF DAT SHEET LITH C [Anonymous], 2013, SAF DAT SHEET AQ REG [Anonymous], MSDS INF [Anonymous], MAT SAF DAT SHEET CO [Anonymous], 2015, SAF DAT SHEET CARB N [Anonymous], 2014, SAF DAT SHEET LITH T, P1 [Anonymous], 2014, SAF DAT SHEET SOD CY [Anonymous], 2014, MAT SAF DAT SHEET LI [Anonymous], 2013, SAF DAT SHEET LMR [Anonymous], 2012, SICH POL [Anonymous], 2016, SAF DAT SHEET SIL NA [Anonymous], 2015, SAF DAT SHEET SULF N [Anonymous], 2015, EC DAT REP 3 2 [Anonymous], 2015, SAF DAT SHEET CHLOR [Anonymous], 2015, SAF DAT SHEET TIN OX [Anonymous], 2014, SAF DAT SHEET LITH N [Anonymous], 2005, SONY 0215 [Anonymous], 2010, MAT SAF DAT SHEET MO [Anonymous], 2015, SAF DAT SHEET PROD P Arico AS, 2005, NAT MATER, V4, P366, DOI 10.1038/nmat1368 Ballengee JB, 2013, J ELECTROCHEM SOC, V160, pF429, DOI 10.1149/2.088304jes Ballengee JB, 2011, MACROMOLECULES, V44, P7307, DOI 10.1021/ma201684j Bartolozzi I, 2013, APPL ENERG, V101, P103, DOI 10.1016/j.apenergy.2012.03.021 Bauer C, 2015, APPL ENERG, V157, P871, DOI 10.1016/j.apenergy.2015.01.019 Brodt M, 2015, J ELECTROCHEM SOC, V162, pF84, DOI 10.1149/2.0651501jes Bruce PG, 2008, ANGEW CHEM INT EDIT, V47, P2930, DOI 10.1002/anie.200702505 Bruce PG, 2012, NAT MATER, V11, P19, DOI [10.1038/nmat3191, 10.1038/NMAT3191] Bystrzejewska-Piotrowska G, 2009, WASTE MANAGE, V29, P2587, DOI 10.1016/j.wasman.2009.04.001 Cai KP, 2012, NANO LETT, V12, P6474, DOI 10.1021/nl303965a Chalkova E, 2009, ECS TRANSACTIONS, V25, P1141, DOI 10.1149/1.3210668 Chandan A, 2013, J POWER SOURCES, V231, P264, DOI 10.1016/j.jpowsour.2012.11.126 Charitidis CA, 2014, MANUF REV, V1, DOI 10.1051/mfreview/2014009 Chen ZW, 2011, ENERG ENVIRON SCI, V4, P3167, DOI 10.1039/c0ee00558d Cheng FY, 2011, ENERG ENVIRON SCI, V4, P3668, DOI 10.1039/c1ee01795k Choi CH, 2013, RSC ADV, V3, P12417, DOI 10.1039/c3ra41160e Choi SI, 2013, NANO LETT, V13, P3420, DOI 10.1021/nl401881z Crabtree G, 2015, MRS BULL, V40, P1067, DOI 10.1557/mrs.2015.259 Croy JR, 2015, ACCOUNTS CHEM RES, V48, P2813, DOI 10.1021/acs.accounts.5b00277 De Volder MFL, 2013, SCIENCE, V339, P535, DOI 10.1126/science.1222453 Debe MK, 2012, NATURE, V486, P43, DOI 10.1038/nature11115 Dong Z., 2016, ADV SCI, V3, P1 Duan HM, 2015, ELECTROCHIM ACTA, V152, P417, DOI 10.1016/j.electacta.2014.11.160 Dunn JB, 2015, ENERG ENVIRON SCI, V8, P158, DOI 10.1039/c4ee03029j Ellingsen LAW, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/5/054010 Ellingsen LAW, 2014, J IND ECOL, V18, P113, DOI 10.1111/jiec.12072 Ellis BL, 2010, CHEM MATER, V22, P691, DOI 10.1021/cm902696j ESPI Metals, MAT SAF DAT SHEETS Etacheri V, 2011, ENERG ENVIRON SCI, V4, P3243, DOI 10.1039/c1ee01598b European Commission, 2016, OV PURCH TAX INC EL, P1 Fan Q, 2007, ELECTROCHEM SOLID ST, V10, pA274, DOI 10.1149/1.2789418 Faria R, 2012, ENERG CONVERS MANAGE, V61, P19, DOI 10.1016/j.enconman.2012.02.023 Gabriel B., 2014, CLIMATE CHANGE 2014, P351 Gallagher KG, 2014, ENERG ENVIRON SCI, V7, P1555, DOI 10.1039/c3ee43870h Gan L, 2013, ELECTROCHIM ACTA, V104, P117, DOI 10.1016/j.electacta.2013.04.083 Ge MY, 2012, NANO LETT, V12, P2318, DOI 10.1021/nl300206e Georgi-Maschler T, 2012, J POWER SOURCES, V207, P173, DOI 10.1016/j.jpowsour.2012.01.152 Goriparti S, 2014, J POWER SOURCES, V257, P421, DOI 10.1016/j.jpowsour.2013.11.103 Graedel TE, 2015, P NATL ACAD SCI USA, V112, P4257, DOI 10.1073/pnas.1500415112 Graedel T.E., 1998, STREAMLINED LIFE CYC GRAEDEL TE, 1995, ENVIRON SCI TECHNOL, V29, pA134 Gratz E, 2014, J POWER SOURCES, V262, P255, DOI 10.1016/j.jpowsour.2014.03.126 Guo SJ, 2013, ANGEW CHEM INT EDIT, V52, P3465, DOI 10.1002/anie.201209871 Gutowski TG, 2009, ENVIRON SCI TECHNOL, V43, P1584, DOI 10.1021/es8016655 Handley C, 2002, J POWER SOURCES, V106, P344, DOI 10.1016/S0378-7753(01)01019-9 Hanisch C., 2015, HDB CLEAN ENERGY SYS Hawkins TR, 2013, J IND ECOL, V17, P53, DOI 10.1111/j.1530-9290.2012.00532.x Hellweg S, 2014, SCIENCE, V344, P1109, DOI 10.1126/science.1248361 Helmers Eckard, 2012, Environmental Sciences Europe, V24, P1, DOI 10.1186/2190-4715-24-14 Higgins D, 2014, ADV FUNCT MATER, V24, P4325, DOI 10.1002/adfm.201400161 Higgins DC, 2010, J PHYS CHEM C, V114, P21982, DOI 10.1021/jp106814j Hongsirikarn K, 2010, J POWER SOURCES, V195, P30, DOI 10.1016/j.jpowsour.2009.07.013 Hudak N. S., 2014, LITHIUM ION BATTERIE, P57 International Energy Agency, 2016, GLOB EV OUTL 2016 ON Iwan A, 2015, RENEW SUST ENERG REV, V49, P954, DOI 10.1016/j.rser.2015.04.093 Jia HP, 2011, ADV ENERGY MATER, V1, P1036, DOI 10.1002/aenm.201100485 Jun Y, 2011, INT J HYDROGEN ENERG, V36, P6073, DOI 10.1016/j.ijhydene.2011.02.030 Kalappa P, 2007, POLYM INT, V56, P371, DOI 10.1002/pi.2153 Kim HC, 2013, J IND ECOL, V17, P528, DOI 10.1111/j.1530-9290.2012.00538.x Kohler AR, 2008, J CLEAN PROD, V16, P927, DOI [10.1016/j.jclepro.2007.04.007, 10.1016/j.jciepro.2007.04.007] Kraytsberg A, 2014, ENERG FUEL, V28, P7303, DOI 10.1021/ef501977k Kushnir D, 2008, J IND ECOL, V12, P360, DOI 10.1111/j.1530-9290.2008.00057.x Kushnir D, 2011, J CLEAN PROD, V19, P1405, DOI 10.1016/j.jclepro.2011.05.006 Lahiri I, 2013, CRIT REV SOLID STATE, V38, P128, DOI 10.1080/10408436.2012.729765 Latorre-Sanchez M, 2012, J MATER CHEM, V22, P21373, DOI 10.1039/c2jm34978g Lee WW, 2014, J MATER CHEM A, V2, P1589, DOI 10.1039/c3ta12830j Li BB, 2014, ENVIRON SCI TECHNOL, V48, P3047, DOI 10.1021/es4037786 Li H, 2008, J POWER SOURCES, V178, P103, DOI 10.1016/j.jpowsour.2007.12.068 Li Q, 2015, J MATER CHEM A, V3, P10592, DOI 10.1039/c5ta00929d Li WY, 2015, ADV ENERGY MATER, V5, DOI 10.1002/aenm.201500211 Lin YC, 2016, CHEM MATER, V28, P1794, DOI 10.1021/acs.chemmater.5b04880 Liu C, 2010, ADV MATER, V22, pE28, DOI 10.1002/adma.200903328 Liu J., GEN SYNTHESIS XLI2MN Liu JJ, 2015, ELECTROCHIM ACTA, V152, P425, DOI 10.1016/j.electacta.2014.11.133 Liu JL, 2014, J ELECTROCHEM SOC, V161, pA160, DOI 10.1149/2.079401jes Lu JL, 2011, CHEM COMMUN, V47, P3216, DOI 10.1039/c0cc05560c Ma Y, 2013, ACS NANO, V7, P10870, DOI 10.1021/nn404311x Majeau-Bettez G, 2011, ENVIRON SCI TECHNOL, V45, P4548, DOI 10.1021/es103607c Manthiram A, 2015, ADV MATER, V27, P1980, DOI 10.1002/adma.201405115 Miotti M., 2015, INT J LIFE CYCLE ASS Morozan A, 2011, ENERG ENVIRON SCI, V4, P1238, DOI 10.1039/c0ee00601g Nan CY, 2014, J AM CHEM SOC, V136, P4659, DOI 10.1021/ja412943h Nie Y, 2015, CHEM SOC REV, V44, P2168, DOI 10.1039/c4cs00484a Nitta N, 2015, MATER TODAY, V18, P252, DOI 10.1016/j.mattod.2014.10.040 Notter DA, 2015, ENERG ENVIRON SCI, V8, P1969, DOI 10.1039/c5ee01082a Notter DA, 2010, ENVIRON SCI TECHNOL, V44, P6550, DOI 10.1021/es903729a Nuss P, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101298 Obrovac MN, 2014, CHEM REV, V114, P11444, DOI 10.1021/cr500207g Ohta N, 2009, J POWER SOURCES, V194, P985, DOI 10.1016/j.jpowsour.2009.06.013 Othman R, 2012, INT J HYDROGEN ENERG, V37, P357, DOI 10.1016/j.ijhydene.2011.08.095 Pampal ES, 2015, J POWER SOURCES, V300, P199, DOI 10.1016/j.jpowsour.2015.09.059 Patel A, 2015, HYDROMETALLURGY, V157, P219, DOI 10.1016/j.hydromet.2015.08.008 Proietti E, 2011, NAT COMMUN, V2, DOI 10.1038/ncomms1427 ReCiPe Mid, 2015, RECIPE MID ENDP METH Reddy MV, 2013, CHEM REV, V113, P5364, DOI 10.1021/cr3001884 Reuter M., 2013, METAL RECYCLING OPPO Rosenman A, 2015, ADV ENERGY MATER, V5, DOI 10.1002/aenm.201500212 Samaras C, 2008, ENVIRON SCI TECHNOL, V42, P3170, DOI 10.1021/es702178s Satyavani TVSL, 2016, ENG SCI TECHNOL, V19, P178, DOI 10.1016/j.jestch.2015.06.002 Scofield ME, 2015, CHEM SOC REV, V44, P5836, DOI 10.1039/c5cs00302d Scrosati B, 2010, J POWER SOURCES, V195, P2419, DOI 10.1016/j.jpowsour.2009.11.048 Sengul H, 2008, J IND ECOL, V12, P329, DOI 10.1111/j.1530-9290.2008.00046.x Shahgaldi S, 2015, CARBON, V94, P705, DOI 10.1016/j.carbon.2015.07.055 Shao MH, 2016, CHEM REV, V116, P3594, DOI 10.1021/acs.chemrev.5b00462 Sharifi S, 2012, CHEM SOC REV, V41, P2323, DOI 10.1039/c1cs15188f Sharma S, 2012, J POWER SOURCES, V208, P96, DOI 10.1016/j.jpowsour.2012.02.011 Shepard S., 2015, EXECUTIVE SUMMARY TR Shiau CSN, 2009, ENERG POLICY, V37, P2653, DOI 10.1016/j.enpol.2009.02.040 Shiroishi H, 2012, ELECTROCHEMISTRY, V80, P898, DOI 10.5796/electrochemistry.80.898 Simons A, 2015, APPL ENERG, V157, P884, DOI 10.1016/j.apenergy.2015.02.049 Sims R, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P599 Singh B, 2014, J IND ECOL, V18, P176, DOI 10.1111/jiec.12098 Som C, 2010, TOXICOLOGY, V269, P160, DOI 10.1016/j.tox.2009.12.012 Son Y, 2015, ADV ENERGY MATER, V5, DOI 10.1002/aenm.201500110 Song MK, 2011, MAT SCI ENG R, V72, P203, DOI 10.1016/j.mser.2011.06.001 Su X., 2014, ADV ENERGY MATER, V4, P1 Subianto S, 2014, POLYM INT, V63, P1134, DOI 10.1002/pi.4708 Szczechowicz E, 2012, INT J LIFE CYCLE ASS, V17, P1131, DOI 10.1007/s11367-012-0425-8 Tanaka M, 2016, POLYM J, V48, P51, DOI 10.1038/pj.2015.76 Todd J., 1999, STREAMLINED LIFE CYC Tripathi BP, 2011, PROG POLYM SCI, V36, P945, DOI 10.1016/j.progpolymsci.2010.12.005 Tseng CJ, 2006, MATER CHEM PHYS, V100, P385, DOI 10.1016/j.matchemphys.2006.01.019 Wang B, 2011, J AM CHEM SOC, V133, P17146, DOI 10.1021/ja208346s Wang C, 2012, ACS CATAL, V2, P891, DOI 10.1021/cs3000792 Wang Y, 2015, ELECTROCHIM ACTA, V177, P181, DOI 10.1016/j.electacta.2015.01.134 Wei QL, 2015, CATALYSTS, V5, P1574, DOI 10.3390/catal5031574 Whittingham MS, 2008, DALTON T, P5424, DOI 10.1039/b806372a Whittingham MS, 2014, CHEM REV, V114, P11414, DOI 10.1021/cr5003003 Whittingham MS, 2012, P IEEE, V100, P1518, DOI 10.1109/JPROC.2012.2190170 Whittingham MS, 2004, CHEM REV, V104, P4271, DOI 10.1021/cr020731c Wu JF, 2008, J POWER SOURCES, V184, P104, DOI 10.1016/j.jpowsour.2008.06.006 Wu SP, 2015, ADV ENERGY MATER, V5, DOI 10.1002/aenm.201500400 Wu SP, 2015, NANO ENERGY, V15, P379, DOI 10.1016/j.nanoen.2015.04.032 Wycisk R, 2014, CURR OPIN CHEM ENG, V4, P71, DOI 10.1016/j.coche.2014.01.012 Xu F, 2010, INT J HYDROGEN ENERG, V35, P2976, DOI 10.1016/j.ijhydene.2009.05.087 Xu JQ, 2008, J POWER SOURCES, V177, P512, DOI 10.1016/j.jpowsour.2007.11.074 Yang Y, 2012, J AM CHEM SOC, V134, P15387, DOI 10.1021/ja3052206 Yee RSL, 2012, CHEM ENG RES DES, V90, P950, DOI 10.1016/j.cherd.2011.10.015 Yoshino A., 2014, LITHIUM ION BATTERIE, P1 Yu HJ, 2013, J PHYS CHEM LETT, V4, P1268, DOI 10.1021/jz400032v Zackrisson M, 2010, J CLEAN PROD, V18, P1519, DOI 10.1016/j.jclepro.2010.06.004 Zamfir MR, 2013, J MATER CHEM A, V1, P9566, DOI 10.1039/c3ta11714f Zarrin H, 2011, J PHYS CHEM C, V115, P20774, DOI 10.1021/jp204610j Zhan YF, 2015, CARBON, V95, P930, DOI 10.1016/j.carbon.2015.09.024 Zhang WJ, 2011, CHEMSUSCHEM, V4, P1753, DOI 10.1002/cssc.201100245 NR 170 TC 29 Z9 29 U1 10 U2 75 PU NATURE PUBLISHING GROUP PI LONDON PA MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND SN 1748-3387 EI 1748-3395 J9 NAT NANOTECHNOL JI Nat. Nanotechnol. PD DEC PY 2016 VL 11 IS 12 BP 1039 EP 1051 DI 10.1038/NNANO.2016.237 PG 13 WC Nanoscience & Nanotechnology; Materials Science, Multidisciplinary SC Science & Technology - Other Topics; Materials Science GA EE9QY UT WOS:000389962500011 PM 27920441 DA 2019-04-09 ER PT J AU Stephan, A Crawford, RH AF Stephan, Andre Crawford, Robert H. TI Total water requirements of passenger transport modes SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT LA English DT Article DE Embodied water; Virtual water; Road transport; Rail transport; Input-output analysis ID LIFE-CYCLE ASSESSMENT; QUALITY-OF-LIFE; RESIDENTIAL BUILDINGS; ROAD TRANSPORT; INPUT; FOOTPRINT; SUSTAINABILITY; ENERGY; TRADE; CONSUMPTION AB With a growing urban population, it is crucial to maintain and develop environmentally friendly transport modes. However, while one of the most important indicators of environmental performance is water use, very few studies have quantified the total water requirements associated with different transport modes. This study uses input-output analysis to quantify the total water requirements of different passenger-transport modes in Melbourne, Australia, including the direct and indirect water requirements of petrol cars, regional diesel trains and electric metropolitan trains. Results show that urban electric trains are the least water intensive transport mode (3.4 L/pkm) followed by regional diesel trains (5.2 L/pkm) and petrol cars (6.4 L/pkm). These intensities result in average daily per capita transport-related water use that can be greater than residential water use. Findings also show that occupancy rates greatly affect the water intensity of transport modes and that when occupied by five passengers, cars are the least water intensive transport mode. Finally, this study shows that water use associated with transport depends on a range of factors across the supply chain and that indirect requirements associated with operations, including administration, advertisement, servicing and others, can represent a significant share of the total. Reducing the total water requirements of transport modes is therefore a shared responsibility between all the actors involved and integrated action plans are needed in order to reduce water use associated with transport. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Stephan, Andre; Crawford, Robert H.] Univ Melbourne, Fac Architecture Bldg & Planning, Melbourne, Vic 3010, Australia. RP Stephan, A (reprint author), Univ Melbourne, Fac Architecture Bldg & Planning, Melbourne, Vic 3010, Australia. EM andre.stephan@unimelb.edu.au RI Stephan, Andre/F-9879-2015 OI Stephan, Andre/0000-0001-9538-3830 FU Belgian Fund for Scientific Research (F.R.S.-FNRS) FX The authors would like to thank Dr. Leigh Glover from the University of Melbourne for his advice at the early stages of this work. Also, the authors are very thankful to Ms. Larisa Tait from Metro Trains Melbourne for providing the necessary financial data for this study. This research was originally funded by the Belgian Fund for Scientific Research (F.R.S.-FNRS) and was started during the Visiting Scholar position of Dr. Andre Stephan at the Faculty of Architecture, Building and Planning at the University of Melbourne, Australia. CR ABS, 2001, AUSTR NAT ACC INP OU ABS, 2011, CENS OF POP ABS, 2004, HOUS FAM PROJ, P138 Andrew RM, 2013, ECON SYST RES, V25, P99, DOI 10.1080/09535314.2012.761953 Austroads, 2013, ALL DAY CAR OCC RAT Banar M, 2015, TRANSPORT RES D-TR E, V41, P88, DOI 10.1016/j.trd.2015.09.017 Bauer C, 2015, APPL ENERG, V157, P871, DOI 10.1016/j.apenergy.2015.01.019 BITRE, 2011, ROAD VEH KIL TRAV ES, P482 BITRE, 2011, 125 BITRE, P404 BOURNE C, 1997, INT WATER LAW SELECT Bras B., 2012, SAE 2012 WORLD C EXH, P15 Burghouwt G., 2005, J TRANSP GEOGR, V13, P123 Campbell H. E., 2004, REV POLICY RES, V21, P637, DOI DOI 10.1111/J.1541-1338.2004.00099.X Cazcarro I, 2013, ENVIRON SCI TECHNOL, V47, P12275, DOI 10.1021/es4019964 Chester M. V., 2009, ENV RES LETT, V4 Chico D, 2013, J CLEAN PROD, V57, P238, DOI 10.1016/j.jclepro.2013.06.001 Crawford RH, 2011, LIFE CYCLE ASSESSMENT IN THE BUILT ENVIRONMENT, P1 Crawford RH, 2008, J ENVIRON MANAGE, V88, P496, DOI 10.1016/j.jenvman.2007.03.024 Crawford RH, 2011, BUILD RES INF, V39, P589, DOI 10.1080/09613218.2011.584212 Dai A, 2011, REV CLIM CHANGE, V2, P45, DOI DOI 10.1002/WCC.81 Daniels PL, 2011, ECON SYST RES, V23, P353, DOI 10.1080/09535314.2011.633500 de Haes HAU, 2007, APPL ENERG, V84, P817, DOI 10.1016/j.apenergy.2007.01.012 De Vos J, 2013, J TRANSP GEOGR, V33, P117, DOI 10.1016/j.jtrangeo.2013.09.014 Department of Economic Development Jobs Transport and Resources, 2016, VICT INT SURV TRAV A Dietzenbacher E, 2007, REG STUD, V41, P185, DOI 10.1080/00343400600929077 DTPLI, 2013, ANN REP 2012 2013 Fellows NT, 2000, TRANSPORT RES D-TR E, V5, P1, DOI 10.1016/S1361-9209(99)00016-4 Feng CM, 2009, J URBAN PLAN D-ASCE, V135, P13, DOI 10.1061/(ASCE)0733-9488(2009)135:1(13) Gerbens-Leenes PW, 2012, GLOBAL ENVIRON CHANG, V22, P764, DOI 10.1016/j.gloenvcha.2012.04.001 Gerbens-Leenes P.W., 2013, WATER RESOUR IND, V1-2, P25, DOI DOI 10.1016/J.WRI.2013.03.001 Gerbens-Leenes W, 2011, ENERG ENVIRON SCI, V4, P2658, DOI 10.1039/c1ee01187a INSEE, 2012, EV STRUCT POP PAR 75, P19 Isard W., 1967, 6 REG SCI RES I Jenks M., 2000, ACHIEVING SUSTAINABL Jonsson D.K., 2007, EUROPEAN J TRANSPORT, V7, P183 Karathodorou N, 2010, ENERG ECON, V32, P86, DOI 10.1016/j.eneco.2009.05.005 Kenworthy J. R, 2006, ENVIRON URBAN, V18, P18 Lampert DJ, 2016, ENERG ENVIRON SCI, V9, P787, DOI [10.1039/c5ee03254g, 10.1039/C5EE03254G] Lenzen M, 1999, TRANSPORT RES D-TR E, V4, P265, DOI 10.1016/S1361-9209(99)00009-7 Lenzen M, 2001, WATER POLICY, V3, P321, DOI DOI 10.1016/S1366-7017(01)00072-1 Lenzen M, 2000, J IND ECOL, V4, P127, DOI DOI 10.1162/10881980052541981 Lenzen M, 2013, ECOL ECON, V94, P78, DOI 10.1016/j.ecolecon.2013.06.018 Lenzen M, 2013, ECON SYST RES, V25, P20, DOI 10.1080/09535314.2013.769938 Lenzen M, 2012, ENVIRON SCI TECHNOL, V46, P8374, DOI 10.1021/es300171x Lenzen M, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007649 LEONTIEF W, 1970, REV ECON STAT, V52, P262, DOI 10.2307/1926294 Majeau-Bettez G, 2011, ENVIRON SCI TECHNOL, V45, P10170, DOI 10.1021/es201308x Marlow DR, 2013, WATER RES, V47, P7150, DOI 10.1016/j.watres.2013.07.046 Martos A, 2016, RENEW SUST ENERG REV, V57, P479, DOI 10.1016/j.rser.2015.12.095 Melbourne Water, 2016, WAT US DAT Miller RE., 2009, INPUT OUTPUT ANAL FD Molina MJ, 2004, J AIR WASTE MANAGE, V54, P644, DOI 10.1080/10473289.2004.10470936 Morrow D., 2002, EUROPEAN MANAGEMENT, V20, P159, DOI DOI 10.1016/S0263-2373(02)00026-9 NEWMAN P., 1999, SUSTAINABILITY CITIE Parish ES, 2012, COMPUT GEOSCI-UK, V42, P79, DOI 10.1016/j.cageo.2012.01.019 PTV, 2012, MELB PUBL TRANSP PAT, P9 Rabbitt N, 2013, TRANSPORT RES D-TR E, V25, P49, DOI 10.1016/j.trd.2013.07.004 Rogerson RJ, 1999, URBAN STUD, V36, P969, DOI 10.1080/0042098993303 Saari A, 2007, TRANSPORT RES D-TR E, V12, P23, DOI 10.1016/j.trd.2006.10.005 Schweimer G.W., 2000, SACHBILANZ GOLF A4 L Scown CD, 2011, ENVIRON SCI TECHNOL, V45, P2541, DOI 10.1021/es102633h Smith TW, 2013, TRANSPORT POLICY, V30, P308, DOI 10.1016/j.tranpol.2013.09.019 Spickermann A, 2014, TECHNOL FORECAST SOC, V89, P201, DOI 10.1016/j.techfore.2013.08.036 Spielmann M, 2005, INT J LIFE CYCLE ASS, V10, P85, DOI 10.1065/lca.10.181.10 SSB, 2016, EL Steg L., 2005, J TRANSP GEOGR, V13, P59, DOI DOI 10.1016/J.JTRANGEO.2004.11.003 Stephan A, 2016, APPL ENERG, V161, P445, DOI 10.1016/j.apenergy.2015.10.023 Stephan A, 2014, BUILD RES INF, V42, P685, DOI 10.1080/09613218.2014.921764 Stephan V., 2006, INT J OPER PROD MAN, V26, P795 Stocker T. F., 2013, CONTRIBUTION WORKING Tasmania Hydro, 2015, HYDR TASM ANN REP 20, P128 Timmer M, 2012, 10 WIOD Tokyo Metropolitan Government, 2011, TOK HIST GEOGR POP Treloar GJ., 2000, J CONSTRUCTION RES, V1, P69 U.N, 2012, WORLD URB PROSP 2011, P318 UNSD, 2012, SYST ENV EC ACC WAT V/Line, 2013, V LIN ANN REP 2012 2, P75 van de Coevering P, 2006, TRANSPORT POLICY, V13, P229, DOI 10.1016/j.tranpol.2005.10.001 Yarra Trams, 2013, FACTS FIG Zetland D, 2013, INT J WATER RESOUR D, V29, P327, DOI 10.1080/07900627.2012.721672 NR 80 TC 1 Z9 1 U1 0 U2 15 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 1361-9209 J9 TRANSPORT RES D-TR E JI Transport. Res. Part D-Transport. Environ. PD DEC PY 2016 VL 49 BP 94 EP 109 DI 10.1016/j.trd.2016.09.007 PG 16 WC Environmental Studies; Transportation; Transportation Science & Technology SC Environmental Sciences & Ecology; Transportation GA EE2CF UT WOS:000389390600008 DA 2019-04-09 ER PT J AU Yu, H Solvang, WD AF Yu, Hao Solvang, Wei Deng TI A general reverse logistics network design model for product reuse and recycling with environmental considerations SO INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY LA English DT Article DE Reverse logistics; Network design; Facility location; Transportation planning; Environmental impacts; Carbon emissions; Multi-objective programming; Mixed integer programming ID LOOP SUPPLY CHAIN; GENETIC ALGORITHM; OPTIMIZATION MODEL; PROGRAMMING-MODEL; STOCHASTIC-MODEL; MANAGEMENT; SYSTEM; UNCERTAINTY; FUTURE; ROBUST AB Reverse logistics is believed to be one of the most promising solutions for capturing the remaining values from used products and has been extensively focused by both academics and practitioners during the past two decades. Conceptual framework, mathematical programming, and computational algorithms have been developed for decision-making at strategic, tactical, and operational levels of a reverse supply chain. In this paper, a novel idea for the design and planning of a general reverse logistics network is suggested and formulated through multi-objective mixed integer programming. The reverse logistics system is an independent network and comprises of three echelons for collection, remanufacturing, recycling, energy recovery, and disposal of used products. The mathematical model not only takes into account the minimization of system operating costs, but also considers minimization of carbon emissions related to the transportation and processing of used products, and the minimum rate of resource utilization is also required in order to minimize the waste of resources in landfill. Illustration, sensitivity analysis, and numerical experimentation are given to show the applicability and computational efficiency of the proposed model. This work provides an alternative approach to account both economic and environmental sustainability of a reverse logistics system. The result explicitly shows the trade-off between the costs and carbon emissions, cost effectiveness for improving environmental performance, and influences from resource utilization, all of which have great practical implication on decision-making of network configurations and transportation planning of a reverse logistics system. For future development of this work, suggestions are also given latter in this paper. C1 [Yu, Hao; Solvang, Wei Deng] UiT Arctic Univ Norway, Fac Engn Sci & Technol, Dept Ind Engn, Narvik, Nordland, Norway. RP Yu, H (reprint author), UiT Arctic Univ Norway, Fac Engn Sci & Technol, Dept Ind Engn, Narvik, Nordland, Norway. EM hao.yu@uit.no OI Yu, Hao/0000-0002-2091-5983 FU TARGET project, EU Northern Periphery and Arctic (NPA) Programme FX The authors would like to express their gratitude to the reviewers and editors for their valuable suggestions which significantly improve the quality of the paper. The research is conducted with the support from the TARGET project financed by EU Northern Periphery and Arctic (NPA) Programme. The project aims at developing, testing, and implementing supportive tools and methodologies in order to make regional manufacturers especially located in NPA area becoming globally competitive and innovative. CR Alshamsi A, 2015, J MANUF SYST, V37, P589, DOI 10.1016/j.jmsy.2015.02.006 Alumur SA, 2012, EUR J OPER RES, V220, P67, DOI 10.1016/j.ejor.2011.12.045 Bing XY, 2014, FLEX SERV MANUF J, V26, P119, DOI 10.1007/s10696-012-9149-0 Cardoso SR, 2013, EUR J OPER RES, V226, P436, DOI 10.1016/j.ejor.2012.11.035 Chiang TA, 2014, SCI WORLD J, DOI 10.1155/2014/595902 Chopra S., 2013, SUPPLY CHAIN MANAGEM Demirel NO, 2008, INT J ADV MANUF TECH, V39, P1197, DOI 10.1007/s00170-007-1290-7 Diabat A, 2013, IEEE T ENG MANAGE, V60, P398, DOI 10.1109/TEM.2012.2211105 El-Sayed M, 2010, COMPUT IND ENG, V58, P423, DOI 10.1016/j.cie.2008.09.040 Elhedhli S, 2012, TRANSPORT RES D-TR E, V17, P370, DOI 10.1016/j.trd.2012.02.002 Eskandarpour M, 2014, INT J ADV MANUF TECH, V74, P1393, DOI 10.1007/s00170-014-6045-7 Salema MIG, 2007, EUR J OPER RES, V179, P1063, DOI 10.1016/j.ejor.2005.05.032 Govindan K, 2015, EUR J OPER RES, V240, P603, DOI 10.1016/j.ejor.2014.07.012 Hatefi SM, 2014, APPL MATH MODEL, V38, P2630, DOI 10.1016/j.apm.2013.11.002 Hu ZH, 2013, TRANSPORT RES B-METH, V55, P118, DOI 10.1016/j.trb.2013.05.010 Jonrinaldi ZDZ, 2013, OMEGA, V41, P598 Kannan D, 2012, RESOUR CONSERV RECY, V67, P75, DOI 10.1016/j.resconrec.2012.03.005 Kannan G, 2010, APPL MATH MODEL, V34, P655, DOI 10.1016/j.apm.2009.06.021 Keeney R, 1993, DECISIONS MULTIPLE O Keyvanshokooh E, 2013, APPL MATH MODEL, V37, P10182, DOI 10.1016/j.apm.2013.05.042 Krumwiede DW, 2002, OMEGA-INT J MANAGE S, V30, P325, DOI 10.1016/S0305-0483(02)00049-X Lambert S, 2011, COMPUT IND ENG, V61, P561, DOI 10.1016/j.cie.2011.04.012 Lee H, 2013, KSCE J CIV ENG, V17, P806, DOI 10.1007/s12205-013-0087-5 Lee JE, 2015, MULTIMED TOOLS APPL, V74, P9067, DOI 10.1007/s11042-013-1594-6 Lee JE, 2009, COMPUT IND ENG, V56, P951, DOI 10.1016/j.cie.2008.09.021 Liu DW, 2014, NEURAL COMPUT APPL, V25, P67, DOI 10.1007/s00521-013-1448-1 Dat LQ, 2012, EXPERT SYST APPL, V39, P6380, DOI 10.1016/j.eswa.2011.12.031 Mahapatra R. N., 2013, Journal of Industrial Engineering, DOI 10.1155/2013/987172 Nema AK, 1999, WASTE MANAGE, V19, P441, DOI 10.1016/S0956-053X(99)00241-X Niknejad A, 2014, EUR J OPER RES, V238, P143, DOI 10.1016/j.ejor.2014.03.034 Pati RK, 2008, OMEGA-INT J MANAGE S, V36, P405, DOI 10.1016/j.omega.2006.04.014 Pishvaee MS, 2010, INT J ADV MANUF TECH, V47, P269, DOI 10.1007/s00170-009-2194-5 Pishvaee MS, 2010, COMPUT OPER RES, V37, P1100, DOI 10.1016/j.cor.2009.09.018 Ramezani M, 2013, APPL MATH MODEL, V37, P328, DOI 10.1016/j.apm.2012.02.032 Ravi V, 2005, COMPUT IND ENG, V48, P327, DOI 10.1016/j.cie.2005.01.017 Rogers D., 2001, J BUSINESS LOGISTICS, V22, P129, DOI DOI 10.1002/J.2158-1592.2001.TB00007.X Roghanian E, 2014, J MANUF SYST, V33, P348, DOI 10.1016/j.jmsy.2014.02.007 Sarkis J, 2010, CORP SOC RESP ENV MA, V17, P337, DOI 10.1002/csr.220 Sasikumar P, 2010, INT J ADV MANUF TECH, V49, P1223, DOI 10.1007/s00170-009-2470-4 Shen ZJM, 2007, J IND MANAG OPTIM, V3, P1, DOI 10.3934/jimo.2007.3.1 Sheu JB, 2007, COMPUT OPER RES, V34, P1442, DOI 10.1016/j.cor.2005.06.009 Sheu JB, 2012, APPL MATH MODEL, V36, P3047, DOI 10.1016/j.apm.2011.09.095 Soleimani H, 2014, EUR J OPER RES, V237, P487, DOI 10.1016/j.ejor.2014.02.030 Suyabatmaz AC, 2014, COMPUT IND ENG, V70, P74, DOI 10.1016/j.cie.2014.01.004 Wang F, 2011, DECIS SUPPORT SYST, V51, P262, DOI 10.1016/j.dss.2010.11.020 Wang K., 2014, J UNCERTAIN SYST, V8, P255 Wang Y, 2015, EXPERT SYST APPL, V42, P5019, DOI 10.1016/j.eswa.2015.02.058 Yu H., 2014, INT J ENERGY ENV, V5, P403 Yu H, 2015, INTELL DECIS TECHNOL, V9, P29, DOI 10.3233/IDT-140203 Zaarour N, 2014, INT J ENG BUS MANAG, V6, DOI 10.5772/58827 Zarei M, 2010, MATH PROBL ENG, DOI 10.1155/2010/649028 NR 51 TC 14 Z9 14 U1 2 U2 71 PU SPRINGER LONDON LTD PI LONDON PA 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND SN 0268-3768 EI 1433-3015 J9 INT J ADV MANUF TECH JI Int. J. Adv. Manuf. Technol. PD DEC PY 2016 VL 87 IS 9-12 BP 2693 EP 2711 DI 10.1007/s00170-016-8612-6 PG 19 WC Automation & Control Systems; Engineering, Manufacturing SC Automation & Control Systems; Engineering GA ED6TE UT WOS:000388988300021 DA 2019-04-09 ER PT J AU Claudy, MC Peterson, M Pagell, M AF Claudy, Marius C. Peterson, Mark Pagell, Mark TI The Roles of Sustainability Orientation and Market Knowledge Competence in New Product Development Success SO JOURNAL OF PRODUCT INNOVATION MANAGEMENT LA English DT Article ID RESOURCE-BASED VIEW; FINANCIAL PERFORMANCE; CONCEPTUAL-FRAMEWORK; GREEN; INNOVATION; ADVANTAGE; MANAGEMENT; COMPANIES; CONSTRUCT; DESIGN AB Firms' sustainability orientation (SO) is widely understood as a strategic resource, which can lead to competitive advantage and superior (financial) performance. While recent empirical evidence suggests a moderate and positive relationship between SO and financial performance on a corporate level, little is understood about the influence of SO on new product development (NPD) success. Building on the natural-resource-based view (NRBV) of the firm, we hypothesize that firms' SO positively influences NPD success, because of efficiency gains and differentiation advantages. However, scholars have also argued that the win-win paradigm postulated by NRBV might not always hold because NPD managers might find it difficult to balance sustainability objectives with the needs of their customer and the competitive dynamics in their markets. It is, therefore, proposed that market knowledge competence (MKC) is an important capability, which helps firms to balance social and ecological objectives with economic goals such as profitability and market share. Using data from 343 international firms from 24 countries that was collected by the Product Development and Management Association, structural equation modeling results suggest that (1) SO positively influences NPD and that (2) this relationship is partially mediated by firms' market knowledge capabilities. The findings suggest that strategic-level SO and MKC are complementary in that they help in balancing trade-offs between sustainaility objectives and profitability goals. In this way, the study contributes to a better understanding of how critical NPD practices can help managers to translate firms' SO into NPD success. The article concludes by highlighting implications for product innovation managers. C1 [Claudy, Marius C.] Univ Coll Dublin, Mkt, Blackrock, Dublin, Ireland. [Peterson, Mark] Univ Wyoming, Coll Business, Mkt, Laramie, WY 82071 USA. [Pagell, Mark] Univ Coll Dublin, Global Leadership, Blackrock, Dublin, Ireland. [Pagell, Mark] Univ Coll Dublin, Sustainable Supply Chain Management, Blackrock, Dublin, Ireland. RP Claudy, MC (reprint author), Univ Coll Dublin, Coll Business, Carysfort Ave, Blackrock, Dublin, Ireland. EM marius.claudy@ucd.ie CR Adams R, 2016, INT J MANAG REV, V18, P180, DOI 10.1111/ijmr.12068 Aguilera-Caracuel J, 2013, ORGAN ENVIRON, V26, P365, DOI 10.1177/1086026613507931 Albertini E, 2013, ORGAN ENVIRON, V26, P431, DOI 10.1177/1086026613510301 Ambec S, 2008, ACAD MANAGE PERSPECT, V23, P45, DOI 10.5465/AMP.2008.35590353 [Anonymous], 2012, ECONOMIST Argyris C., 1978, J APPL BEHAV SCI, V15, P542 Atuahene-Gima K, 2011, J PROD INNOVAT MANAG, V28, P81, DOI 10.1111/j.1540-5885.2010.00782.x Babbie E., 2007, PRACTICE SOCIAL RES Bagozzi RP, 2012, J ACAD MARKET SCI, V40, P8, DOI 10.1007/s11747-011-0278-x Banerjee SB, 2002, J BUS RES, V55, P177, DOI 10.1016/S0148-2963(00)00135-1 BARNEY J, 1991, J MANAGE, V17, P99, DOI 10.1177/014920639101700108 BARON RM, 1986, J PERS SOC PSYCHOL, V51, P1173, DOI 10.1037/0022-3514.51.6.1173 Berns Maurice, 2009, MIT SLOAN MANAGEMENT, P11 Chan RYK, 2012, IND MARKET MANAG, V41, P621, DOI 10.1016/j.indmarman.2012.04.009 Chen FF, 2005, STRUCT EQU MODELING, V12, P471, DOI 10.1207/s15328007sem1203_7 Claudy MC, 2015, J ACAD MARKET SCI, V43, P528, DOI 10.1007/s11747-014-0399-0 COTE JA, 1987, J MARKETING RES, V24, P315, DOI 10.2307/3151642 Crittenden VL, 2011, J ACAD MARKET SCI, V39, P71, DOI 10.1007/s11747-010-0217-2 Dangelico R, 2010, J BUS ETHICS, V95, P471, DOI 10.1007/s10551-010-0434-0 DAY GS, 1988, J MARKETING, V52, P1, DOI 10.2307/1251261 de Medeiros JF, 2014, J CLEAN PROD, V65, P76, DOI 10.1016/j.jclepro.2013.08.035 DeSimone L. D, 2000, ECOEFFICIENCY BUSINE DESS GG, 1984, STRATEGIC MANAGE J, V5, P265, DOI 10.1002/smj.4250050306 Dixon-Fowler HR, 2013, J BUS ETHICS, V112, P353, DOI 10.1007/s10551-012-1268-8 Fiksel J., 2009, GUIDE SUSTAINABLE PR FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312 Fraj-Andres E, 2009, J BUS ETHICS, V88, P263, DOI 10.1007/s10551-008-9962-2 GERBING DW, 1988, J MARKETING RES, V25, P186, DOI 10.2307/3172650 Gonzalez FJM, 2002, IND MARKET MANAG, V31, P261, DOI 10.1016/S0019-8501(00)00150-4 Griffin A, 1996, J PROD INNOVAT MANAG, V13, P191, DOI 10.1111/1540-5885.1330191 Gruner KE, 2000, J BUS RES, V49, P1, DOI 10.1016/S0148-2963(99)00013-2 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 HART SL, 1995, ACAD MANAGE REV, V20, P986, DOI 10.2307/258963 Hauser JR, 2006, MARKET SCI, V25, P687, DOI 10.1287/mksc.1050.0144 Hayes A.F., 2012, CISC VIS NETW IND GL Hoffmann E., 2007, BUS STRATEG ENVIRON, V338, P322, DOI DOI 10.1002/BSE.577 Howard L, 1998, INT J ORG ANAL, V6, P231, DOI DOI 10.1108/EB028886 Hult GTM, 2011, J ACAD MARKET SCI, V39, P1, DOI 10.1007/s11747-010-0223-4 Hunt SD, 1996, J MARKETING, V60, P107, DOI 10.2307/1251905 JAWORSKI BJ, 1993, J MARKETING, V57, P57, DOI 10.2307/1252057 Johnson WHA, 2009, IEEE T ENG MANAGE, V56, P219, DOI 10.1109/TEM.2008.2009789 Li T, 1998, J MARKETING, V62, P13, DOI 10.2307/1252284 Linnenluecke MK, 2010, J WORLD BUS, V45, P357, DOI 10.1016/j.jwb.2009.08.006 Margolis JD, 2003, ADMIN SCI QUART, V48, P268, DOI 10.2307/3556659 Markham SK, 2013, J PROD INNOVAT MANAG, V30, P408, DOI 10.1111/jpim.12025 Musk E. C., 2014, TESLAMOTORS BLOG Nidumolu R, 2009, HARVARD BUS REV, V87, P56 Orlitzky M, 2003, ORGAN STUD, V24, P403, DOI 10.1177/0170840603024003910 Ozkaya HE, 2015, INT J RES MARK, V32, P309, DOI 10.1016/j.ijresmar.2014.10.004 PODSAKOFF PM, 1986, J MANAGE, V12, P531, DOI 10.1177/014920638601200408 Podsakoff PM, 2003, J APPL PSYCHOL, V88, P879, DOI 10.1037/0021-9101.88.5.879 PORTER ME, 1995, J ECON PERSPECT, V9, P97, DOI 10.1257/jep.9.4.97 PORTER ME, 1995, HARVARD BUS REV, V73, P120 PRAHALAD CK, 1990, HARVARD BUS REV, V68, P79 Preacher KJ, 2004, BEHAV RES METH INS C, V36, P717, DOI 10.3758/BF03206553 Preacher KJ, 2008, BEHAV RES METHODS, V40, P879, DOI 10.3758/BRM.40.3.879 Prothero A, 2010, J MACROMARKETING, V30, P147, DOI 10.1177/0276146710361922 Pujari D, 2006, TECHNOVATION, V26, P76, DOI 10.1016/j.technovation.2004.07.006 Pujari D, 2003, J BUS RES, V56, P657, DOI 10.1016/S0148-2963(01)00310-1 Roxas B, 2012, J BUS ETHICS, V111, P461, DOI 10.1007/s10551-012-1211-z Salomo S, 2003, INT J TECHNOL MANAGE, V26, P442, DOI 10.1504/IJTM.2003.003417 Slotegraaf RJ, 2012, J PROD INNOVAT MANAG, V29, P349, DOI 10.1111/j.1540-5885.2012.00905.x Song XM, 2000, J PROD INNOVAT MANAG, V17, P378, DOI 10.1016/S0737-6782(00)00054-0 Surroca J, 2010, STRATEGIC MANAGE J, V31, P463, DOI 10.1002/smj.820 Swan KS, 2011, J PROD INNOVAT MANAG, V28, P321, DOI 10.1111/j.1540-5885.2011.00800.x Teece DJ, 2007, STRATEG MANAGE J, V28, P1319, DOI 10.1002/smj.640 Unruh G, 2013, MIT SLOAN MANAGE REV, V55, P16 van de Kerkhof M, 2005, TECHNOL FORECAST SOC, V72, P733, DOI 10.1016/j.techfore.2004.10.002 van Hemel C, 2002, J CLEAN PROD, V10, P439, DOI 10.1016/S0959-6526(02)00013-6 Varadarajan P. Rajan, 1992, J ACAD MARKET SCI, V20, P335 Verona G, 1999, ACAD MANAGE REV, V24, P132, DOI 10.2307/259041 Veryzer RW, 2005, J PROD INNOVAT MANAG, V22, P128, DOI 10.1111/j.0737-6782.2005.00110.x von Delft S., 2014, ISPIM C P MANCH UK I, P1 Wiengarten F, 2012, INT J PROD ECON, V135, P541, DOI 10.1016/j.ijpe.2011.03.011 Wu ZH, 2011, J OPER MANAG, V29, P577, DOI 10.1016/j.jom.2010.10.001 Zhao XS, 2010, J CONSUM RES, V37, P197, DOI 10.1086/651257 NR 76 TC 3 Z9 3 U1 5 U2 67 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0737-6782 EI 1540-5885 J9 J PROD INNOVAT MANAG JI J. Prod. Innov. Manage. PD DEC PY 2016 VL 33 IS S1 BP 72 EP 85 DI 10.1111/jpim.12343 PG 14 WC Business; Engineering, Industrial; Management SC Business & Economics; Engineering GA EC7GY UT WOS:000388306400006 DA 2019-04-09 ER PT J AU Chelleri, L Minucci, G Skrimizea, E AF Chelleri, Lorenzo Minucci, Guido Skrimizea, Eirini TI Does community resilience decrease social-ecological vulnerability? Adaptation pathways trade-off in the Bolivian Altiplano SO Regional Environmental Change LA English DT Article DE Adaptation pathway; Maladaptation; Vulnerability trade-offs; Community resilience; Positive adaptation; Quinoa; Andean communities; Regional sustainability; Climate change adaptation ID CLIMATE-CHANGE; DISASTER RISK; LAND-USE; QUINOA; SUSTAINABILITY; GLOBALIZATION; CHALLENGES AB Worsening climate change impacts and environmental degradation are increasingly supporting policies and plans in framing a linear understanding of resilience building and vulnerability reduction. However, adaptations to different but interacting drivers of change are unclear in the mix of opportunities and threats related to increasing connections, emerging technologies, new patterns of dependency and possible lock-in effects. This paper discusses a more open-ended understanding of the relationship between resilience and vulnerability, highlighting emerging trade-offs among adaptive capacities and exposures to different (and new) threats as they relate to social-ecological sustainability. The transition of the Southern Bolivian Altiplano, from being a remote rural area of subsistence farming to a global leader in quinoa production and exportation, has been taken as a study case. Results from 18 workshops organised within different communities provide insights about a range of trade-offs between community resilience attributes and social-ecological vulnerability induced from land use changes, livestock strategies, communities' behavioural change and institutions' emerging policies. The main theoretical advances of the paper relate to the need for critically framing multiple threat exposures and adaptive capacity trade-offs, contributing to arguing the usually positive meaning of resilience, and taking into account "to whom or to what is positive which adaptation" and "which trade-off should be accepted, and why". Framing adaptive pathways through these questions would serve as a tool for addressing sustainable development goals, while avoiding lock-ins or unsustainable path dependencies. C1 [Chelleri, Lorenzo; Skrimizea, Eirini] Gran Sasso Sci Inst, GSSI Social Sci, Viale Francesco Crispi 7, I-67100 Laquila, Italy. [Minucci, Guido] Politecn Milan, Architecture & Urban Studies Dept, Milan, Italy. RP Chelleri, L (reprint author), Gran Sasso Sci Inst, GSSI Social Sci, Viale Francesco Crispi 7, I-67100 Laquila, Italy. EM lorenzo.chelleri@gssi.infn.it; guido.minucci@polimi.it; eirini.skrimizea@gssi.infn.it OI Chelleri, Lorenzo/0000-0003-0229-5028 FU Fondazione ACRA-CCS FX Authors acknowledge Fondazione ACRA-CCS and Carlo Krusich for their support in the research activities. Furthermore, authors would like to acknowledge the work of the editors and two anonymous reviewers which provided critical comments in order to enhance the quality of the manuscript. CR Adger W. N., 2003, Progress in Development Studies, V3, P179, DOI 10.1191/1464993403ps060oa Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006 Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004 Beilin R, 2015, URBAN STUD, V52, P1304, DOI 10.1177/0042098013505654 Bennett N. J., 2015, REGIONAL ENV CHANGE, V16, P907, DOI DOI 10.1007/S10113-015-0839-5 Berkes F, 2013, SOC NATUR RESOUR, V26, P5, DOI 10.1080/08941920.2012.736605 Burton I, 1997, CLIMATIC CHANGE, V36, P185, DOI 10.1023/A:1005334926618 Chaskin R., 2008, CHILD CARE PRACTICE, V14, P65, DOI DOI 10.1080/13575270701733724 Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780 Cramer W, 2002, REG ENVIRON CHANGE, V3, P1, DOI 10.1007/s10113-002-0051-2 Cutter SL, 2008, GLOBAL ENVIRON CHANG, V18, P598, DOI 10.1016/j.gloenvcha.2008.07.013 Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124 Dorian F, 2009, QUINUA TERRITORIO EX Erb KH, 2009, ECOL ECON, V69, P328, DOI 10.1016/j.ecolecon.2009.06.025 Eriksen S, 2011, CLIM DEV, V3, P7, DOI 10.3763/cdev.2010.0060 FAO-Food and Agriculture Organization of the United Nations, 2013, FOOD OUTL BIANN REP Fearnside PM, 2001, ENVIRON CONSERV, V28, P23, DOI 10.1017/S0376892901000030 Felix D, 2009, QUINUA TERRITORIO EX Foley JA, 2007, P NATL ACAD SCI USA, V104, P12585, DOI 10.1073/pnas.0705190104 Gandarillas A, 2015, STATE ART REPORT QUI, P344 German L, 2011, ECOL SOC, V16, DOI 10.5751/ES-04516-160429 Giuliani A., 2012, BIODIVERSITY ANDEAN Haberl H, 2007, P NATL ACAD SCI USA, V104, P12942, DOI 10.1073/pnas.0704243104 Hellin J, 2005, DEV PRACT, V15, P165, DOI 10.1080/09614520500041344 IBCE-Instituto Boliviano de Comercio Exterior, 2013, BOL QUIN TRAV BORD W Jacobsen SE, 2011, J AGRON CROP SCI, V197, P390, DOI 10.1111/j.1439-037X.2011.00475.x Kerssen TM, 2015, THIRD WORLD Q, V36, P489, DOI 10.1080/01436597.2015.1002992 Lambin EF, 2001, GLOBAL ENVIRON CHANG, V11, P261, DOI 10.1016/S0959-3780(01)00007-3 Lauer M, 2013, GLOBAL ENVIRON CHANG, V23, P40, DOI 10.1016/j.gloenvcha.2012.10.011 Maclean K, 2014, J ENVIRON PLANN MAN, V57, P144, DOI 10.1080/09640568.2013.763774 Maguire B., 2008, ASSESSING COMMUNITYS Markemann A, 2009, LIVEST SCI, V124, P119, DOI 10.1016/j.livsci.2009.01.011 Martin C, 2012, MIGRACION BOLIVIANO Matyas D, 2015, DISASTERS, V39, pS1, DOI 10.1111/disa.12107 Miller F, 2010, ECOL SOC, V15 Mulligan M., 2016, INT PLANN STUD, P1, DOI DOI 10.1080/13563475.2016.1155974 Pelling M, 2011, ADAPTATION TO CLIMATE CHANGE: FROM RESILIENCE TO TRANSFORMATION, P1 Phalan B, 2009, APPL ENERG, V86, pS21, DOI 10.1016/j.apenergy.2009.04.046 Grau HR, 2008, ECOL SOC, V13 RUALES J, 1993, FOOD CHEM, V48, P131, DOI 10.1016/0308-8146(93)90047-J Sassen S, 2010, GLOBAL NETW, V10, P150, DOI 10.1111/j.1471-0374.2010.00279.x Schipper ELF, 2009, CLIM DEV, V1, P16, DOI 10.3763/cdev.2009.0004 Schipper L, 2006, DISASTERS, V30, P19, DOI 10.1111/j.1467-9523.2006.00304.x Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109 Seto KC, 2010, CURR OPIN SUST, V2, P127, DOI 10.1016/j.cosust.2010.07.003 Slunge D., 2013, ENV CLIMATE CHANGE B Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008 Smith B, 2000, CLIMATIC CHANGE, V45, P223, DOI 10.1023/A:1005661622966 Squeo FA, 2006, REV CHIL HIST NAT, V79, P245, DOI 10.4067/S0716-078X2006000200010 Turner BL, 2010, GLOBAL ENVIRON CHANG, V20, P570, DOI 10.1016/j.gloenvcha.2010.07.003 Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100 Wilson GA, 2014, J ENVIRON PLANN MAN, V57, P1, DOI 10.1080/09640568.2012.741519 Winkel T., 2015, STATE ART REPORT QUI, P362 NR 54 TC 6 Z9 6 U1 7 U2 37 PU SPRINGER HEIDELBERG PI HEIDELBERG PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY SN 1436-3798 EI 1436-378X J9 REG ENVIRON CHANGE JI Reg. Envir. Chang. PD DEC PY 2016 VL 16 IS 8 SI SI BP 2229 EP 2241 DI 10.1007/s10113-016-1046-8 PG 13 WC Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA ED6IK UT WOS:000388959100006 DA 2019-04-09 ER PT J AU Farooqui, TA Renouf, MA Kenway, SJ AF Farooqui, Tauheed A. Renouf, Marguerite A. Kenway, Steven J. TI A metabolism perspective on alternative urban water servicing options using water mass balance SO WATER RESEARCH LA English DT Article DE Urban hydrology; Water mass balance; Water efficiency; Water-related energy; Wastewater recycling; Stormwater ID PLUMBED RAINWATER TANKS; DECENTRALIZED SYSTEMS; DECISION-SUPPORT; ENERGY; SUSTAINABILITY; CITIES; MANAGEMENT; INFRASTRUCTURE; MEGACITIES; EMISSIONS AB Urban areas will need to pursue new water servicing options to ensure local supply security. Decisions about how best to employ them are not straightforward due to multiple considerations and the potential for problem shifting among them. We hypothesise that urban water metabolism evaluation based a water mass balance can help address this, and explore the utility of this perspective and the new insights it provides about water servicing options. Using a water mass balance evaluation framework, which considers direct urban water flows (both 'natural' hydrological and 'anthropogenic' flows), as well as water-related energy, we evaluated how the use of alternative water sources (stormwater/rainwater harvesting, wastewater/greywater recycling) at different scales influences the 'local water metabolism' of a case study urban development. New indicators were devised to represent the water-related 'resource efficiency' and 'hydrological performance' of the urban area. The new insights gained were the extent to which alternative water supplies influence the water efficiency and hydrological performance of the urban area, and the potential energy trade-offs. The novel contribution is the development of new indicators of urban water resource performance that bring together considerations of both the 'anthropogenic' and 'natural' water cycles, and the interactions between them. These are used for the first time to test alternative water servicing scenarios, and to provide a new perspective to complement broader sustainability assessments of urban water. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Farooqui, Tauheed A.] Univ Queensland, Int Water Ctr, St Lucia, Qld 4072, Australia. [Renouf, Marguerite A.; Kenway, Steven J.] Univ Queensland, Sch Chem Engn, Cooper Rd, St Lucia, Qld 4072, Australia. [Renouf, Marguerite A.; Kenway, Steven J.] Monash Univ, Cooperat Res Ctr Water Sensit Cities, Clayton, Vic 3800, Australia. RP Renouf, MA (reprint author), Univ Queensland, Sch Chem Engn, Cooper Rd, St Lucia, Qld 4072, Australia. EM tauheed.sheikh@uq.net.au; m.renouf@uq.edu.au; s.kenway@uq.edu.au RI Kenway, Steven/J-8031-2013 OI Kenway, Steven/0000-0002-2095-9388; Renouf, Marguerite/0000-0003-0225-885X FU Cooperative Research Centre for Water Sensitive Cities (CRC WSC) - Australian Government [B1.2]; International Water Centre's (IWC)Master of Integrated Water Management (MIWM) program; CRC WSC; Australian Research Council [DECRA DE100101322] FX This work was supported by the Cooperative Research Centre for Water Sensitive Cities (CRC WSC Project B1.2), which is funded by the Australian Government and industry partners. Over the course of this research Tauheed Farooqui was supported by the International Water Centre's (IWC)Master of Integrated Water Management (MIWM) program, Marguerite Renouf was funded by the CRC WSC, and Steven Kenway was funded by the Australian Research Council through a Discovery Early Career Researcher Award (DECRA DE100101322). The authors acknowledge the input of Ms. May Wei Wong who assisted with the presentation of results; Ms Cintia Dotto, Mr Tony Webber, Dr. Brian McIntosh and Prof Damien Batstone who provided technical guidance various aspects; Ms Emma O'Neill and Mr. Brett Davey and other Ipswich City Council planning staff who provided information about the case study development; and Mr Ka Leung Lam and Mr Patrick Lamb who reviewed early versions. Feedback received from the anonymous reviewers was also greatly appreciated. CR Ashbolt S, 2013, WATER SCI TECHNOL, V67, P446, DOI 10.2166/wst.2012.582 Asian Development Bank (ADB), 2013, AS WAT DEV OUTL 2013 Bach PM, 2014, ENVIRON MODELL SOFTW, V54, P88, DOI 10.1016/j.envsoft.2013.12.018 Barron OV, 2013, J HYDROL, V485, P162, DOI 10.1016/j.jhydrol.2012.04.027 Baynes TM, 2012, CURR OPIN ENV SUST, V4, P458, DOI 10.1016/j.cosust.2012.09.003 Beal CD, 2012, WATER RESOUR MANAG, V26, P1577, DOI 10.1007/s11269-011-9973-0 Behzadian K, 2015, SCI TOTAL ENVIRON, V527, P220, DOI 10.1016/j.scitotenv.2015.04.097 Bhaskar AS, 2012, ENVIRON ENG GEOSCI, V18, P37, DOI 10.2113/gseegeosci.18.1.37 BOM, 2015, NAT WAT ACC 2015 BOM, 2006, EV AV MONTHL ANN EV Chrysoulakis N., 2015, UNDERSTANDING URBAN Cintep, 2012, REC SHOW WORKS Cook S., 2012, ENERGY USE PROVISION Coutts A., 2014, B31 CRC WSC CRC WSC, 2015, ID RIPL VALL Daniels Peter L., 2001, Journal of Industrial Ecology, V5, P69, DOI 10.1162/10881980160084042 Daniels PL, 2002, J IND ECOL, V6, P65 Decker EH, 2000, ANNU REV ENERG ENV, V25, P685, DOI 10.1146/annurev.energy.25.1.685 DEH, 2006, WAT EFF GUID EIU (Economic Intelligence Unit), 2011, AS GREEN CIT IND ASS Elliott AH, 2007, ENVIRON MODELL SOFTW, V22, P394, DOI 10.1016/j.envsoft.2005.12.005 Fagan JE, 2010, RESOUR CONSERV RECY, V54, P719, DOI 10.1016/j.resconrec.2009.12.002 Fischer-Kowalski M., 1998, J IND ECOL, V2, P61, DOI DOI 10.1162/JIEC.1998.2.1.61 Fletcher TD, 2007, WATER SCI TECHNOL, V55, P265, DOI 10.2166/wst.2007.117 GCCC, 2006, MUSIC MOD GUID Haase D, 2009, ENVIRON IMPACT ASSES, V29, P211, DOI 10.1016/j.eiar.2009.01.002 Huang CL, 2013, SCI TOTAL ENVIRON, V452, P19, DOI 10.1016/j.scitotenv.2013.02.044 ICC, 2009, IPSW PLANN SCHEM 15 IWA, 2010, SPAT PLANN I REF CON Jenerette GD, 2006, ECOL ECON, V57, P346, DOI 10.1016/j.ecolecon.2005.04.016 Kennedy C., 2012, EMERGING PARADIGM UR, P275 Kennedy C, 2014, ECOL INDIC, V47, P7, DOI 10.1016/j.ecolind.2014.07.039 Kennedy C, 2007, J IND ECOL, V11, P43, DOI 10.1162/jie.2007.1107 Kennedy CA, 2015, P NATL ACAD SCI USA, V112, P5985, DOI 10.1073/pnas.1504315112 Kenway SJ, 2015, ENVIRON MODELL SOFTW, V73, P272, DOI 10.1016/j.envsoft.2015.08.009 Kenway SJ, 2011, J WATER CLIM CHANGE, V2, P247, DOI 10.2166/wcc.2011.005 Kenway S, 2011, J IND ECOL, V15, P693, DOI 10.1111/j.1530-9290.2011.00357.x Lane JL, 2015, WATER RES, V81, P398, DOI 10.1016/j.watres.2015.03.005 Makropoulos CK, 2008, ENVIRON MODELL SOFTW, V23, P1448, DOI 10.1016/j.envsoft.2008.04.010 Makropoulos CK, 2010, WATER RESOUR MANAG, V24, P2795, DOI 10.1007/s11269-010-9580-5 Matos C, 2014, SCI TOTAL ENVIRON, V493, P463, DOI 10.1016/j.scitotenv.2014.05.129 McDonald RI, 2014, GLOBAL ENVIRON CHANG, V27, P96, DOI 10.1016/j.gloenvcha.2014.04.022 McIntosh B. S., 2013, RIPLEY VALLEY APPL G Memon F. A., 2015, ALTERNATIVE WATER SU, P265 Mirza F., 2013, HYDROPLANNER PROTOTY Mitchell VG, 2008, ENVIRON MODELL SOFTW, V23, P782, DOI 10.1016/j.envsoft.2007.09.006 Newman PWG, 1999, LANDSCAPE URBAN PLAN, V44, P219, DOI 10.1016/S0169-2046(99)00009-2 NHMRC, 2013, AUSTR DIET GUID OECD, 2015, WAT CIT ENS SUST FUT Pincetl S, 2012, LANDSCAPE URBAN PLAN, V107, P193, DOI 10.1016/j.landurbplan.2012.06.006 Renouf M., 2016, URBAN METABOLISM PLA Renouf Marguerite. A., 2016, J IND ECOL Sharma AK, 2008, URBAN WATER J, V5, P147, DOI 10.1080/15730620701736829 Sharma AK, 2013, WATER SCI TECHNOL, V67, P2091, DOI 10.2166/wst.2013.093 Sharma AK, 2009, ENVIRON ENG SCI, V26, P921, DOI 10.1089/ees.2008.0063 SKM, 2013, REV DEM PROJ S E QUE ULDA, 2011, RIPL VALL URB DEV AR Umapathi S., 2012, INVESTIATION MONITOR Umapathi S, 2013, J CLEAN PROD, V42, P204, DOI 10.1016/j.jclepro.2012.11.006 UN, 2014, WORLD UBR PROSP 2014 van Leeuwen CJ, 2012, WATER RESOUR MANAG, V26, P2177, DOI 10.1007/s11269-012-0009-1 Venkatesh G, 2014, WATER RES, V61, P19, DOI 10.1016/j.watres.2014.05.004 Voogt S., 2012, CLIMATE CHANGE IMPAC Walker R. V., 2012, Frontiers of Environmental Science and Engineering, V6, P596 Walsh CJ, 2005, J N AM BENTHOL SOC, V24, P706, DOI 10.1899/0887-3593(2005)024\\[0706:TUSSCK\\]2.0.CO;2 WOLMAN A, 1965, SCI AM, V213, P179 Xue XB, 2015, WATER RES, V77, P155, DOI 10.1016/j.watres.2015.03.017 NR 67 TC 6 Z9 6 U1 5 U2 43 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0043-1354 J9 WATER RES JI Water Res. PD DEC 1 PY 2016 VL 106 BP 415 EP 428 DI 10.1016/j.watres.2016.10.014 PG 14 WC Engineering, Environmental; Environmental Sciences; Water Resources SC Engineering; Environmental Sciences & Ecology; Water Resources GA EC3SV UT WOS:000388047500043 PM 27750130 DA 2019-04-09 ER PT J AU Gathorne-Hardy, A AF Gathorne-Hardy, Alfred TI The sustainability of changes in agricultural technology: The carbon, economic and labour implications of mechanisation and synthetic fertiliser use SO AMBIO LA English DT Article DE Paddy; Oxen; India; Draught animals; Livelihoods; Life cycle assessment; LCA ID ORGANIC AGRICULTURE; ANIMAL POWER; PADDY SOILS; INDIA; PRODUCTIVITY; SEQUESTRATION; MANAGEMENT; METHANE; SYSTEMS; ENERGY AB New agricultural technologies bring multiple impacts which are hard to predict. Two changes taking place in Indian agriculture are a transition from bullocks to tractors and an associated replacement of manure with synthetic fertilisers. This paper uses primary data to model social, environmental and economic impacts of these transitions in South India. It compares ploughing by bullocks or tractors and the provision of nitrogen from manure or synthetic urea for irrigated rice from the greenhouse gas (GHG), economic and labour perspective. Tractors plough nine times faster than bullocks, use substantially less labour, with no significant difference in GHG emissions. Tractors are twice as costly as bullocks yet remain more popular to hire. The GHG emissions from manure-N paddy are 30 % higher than for urea-N, largely due to the organic matter in manure driving methane emissions. Labour use is significantly higher for manure, and the gender balance is more equal. Manure is substantially more expensive as a source of nutrients compared to synthetic nutrients, yet remains popular when available. This paper demonstrates the need to take a broad approach to analysing the sustainability impacts of new technologies, as trade-offs between different metrics are common. C1 [Gathorne-Hardy, Alfred] Univ Oxford, Somerville Coll, Oxford India Ctr Sustainable Dev, Oxford OX2 6HD, England. RP Gathorne-Hardy, A (reprint author), Univ Oxford, Somerville Coll, Oxford India Ctr Sustainable Dev, Oxford OX2 6HD, England. EM alfred.gathorne-hardy@area.ox.ac.uk FU ESRC/Dfid Joint Scheme award [RES-167-25-MTRUYG0, ES/1033768/1] FX The author would like to thank the constructive comments from four anonymous reviewers. With thanks to the ESRC/Dfid Joint Scheme award RES-167-25-MTRUYG0; ES/1033768/1 for funding. The views expressed are those of the authors. CR AGARWAL B, 1984, J DEV STUD, V20, P290, DOI 10.1080/00220388408421918 Astill Grenville, 1997, MEDIEVAL FARMING TEC Bhatia A, 2010, NUTR CYCL AGROECOSYS, V86, P413, DOI 10.1007/s10705-009-9304-5 Bronick CJ, 2005, GEODERMA, V124, P3, DOI 10.1016/j.geoderma.2004.03.005 Carswell G, 2014, J AGRAR CHANGE, V14, P564, DOI 10.1111/joac.12054 Cerutti AK, 2014, J CLEAN PROD, V64, P396, DOI 10.1016/j.jclepro.2013.09.027 Ci E, 2013, ACTA AGR SCAND B-S P, V63, P694, DOI 10.1080/09064710.2013.854827 CIDS, 2014, STAT IND FARM REP ST Corbridge S., 2014, CHINA INDIA PATHS EC CSE, 2012, INT FURN GREEN RAT P, P256 CSE, 2009, GREEN RAT REP Dawe D., 2000, STUDIES PLANT SCI Deere J., 2012, TRACTOR SPECIFICATIO Erisman JW, 2008, NAT GEOSCI, V1, P1, DOI DOI 10.1038/NGE0325 European Commission - Joint Research Centre - Institute for Environment and Sustainability, 2010, INT REF CYCL DAT SYS Evenson R.E., 1998, AGR RES PRODUCTIVITY FAO, 2005, FERT US CROP IND Forster P, 2007, CLIMATE CHANGE 2007: THE PHYSICAL SCIENCE BASIS, P129 Fuller RJ, 2012, RENEW ENERG, V48, P326, DOI 10.1016/j.renene.2012.04.054 Gabriel D., 2013, APPL ECOL, V50, P355 Gathorne-Hardy A, 2016, AGR SYST, V143, P159, DOI 10.1016/j.agsy.2015.12.012 Ghosh S, 2012, AGR ECOSYST ENVIRON, V156, P134, DOI 10.1016/j.agee.2012.05.009 GoI, 2012, 19 LIV CENS GoI, 2013, IND RUR DEV REP 2013 Government of India (GOI), 2014, ALL IND REP NUMB AR Gupta PK, 2007, ENVIRON POLLUT, V146, P219, DOI 10.1016/j.envpol.2006.04.039 Harriss-White B., 2004, RURAL INDIA FACING 2, P3 Harriss-White B., 2000, WORKING CLASSES GLOB, P89 Hou AX, 2000, SOIL SCI SOC AM J, V64, P2180, DOI 10.2136/sssaj2000.6462180x Hull K., 2009, PROPOOR GROWTH EMPLO Intergovernmental Panel on Climate Change (IPCC), 1996, IPCC GOOD PRACT GUID International Organization Standardization (ISO), 2006, 140402006 ISO EN IPCC, 2006, NAT GUID GREENH GAS IPCC, 2007, CLIM CHANG 2007 PHYS Kindred D., 2008, UNDERSTANDING MANAGI Ladha JK, 2005, ADV AGRON, V87, P85, DOI 10.1016/S0065-2113(05)87003-8 Mahindra, 2012, TRACT SPEC Mandal S, 2008, OUTLOOK AGR, V37, P87, DOI 10.5367/000000008784648870 Misra A.K., 2000, DRAUGHT ANIM NEWS, p[32, 11] Montgomery D. R., 2012, DIRT EROSION CIVILIZ Mueller L, 2010, AGRON SUSTAIN DEV, V30, P601, DOI 10.1051/agro/2009057 Musa H.L., 1993, RES DEV DRAUGHT ANIM Pan GX, 2009, AGR ECOSYST ENVIRON, V129, P344, DOI 10.1016/j.agee.2008.10.008 Pan GX, 2004, GLOBAL CHANGE BIOL, V10, P79, DOI 10.1111/j.1365-2486.2003.00717.x PEARSON A, 1991, APPROPRIATE TECH, V18, P11 Piesse J, 2010, PHILOS T R SOC B, V365, P3035, DOI 10.1098/rstb.2010.0140 Qin YM, 2010, BIOL FERT SOILS, V46, P825, DOI 10.1007/s00374-010-0493-5 Rahmann G., 2011, VTI AGR FOR RES, V3, P189 Rotz C A, 2004, J Anim Sci, V82 E-Suppl, pE119 Sarkar A., 2013, REV AGRARIAN STUDIES, V3 Sarma J.S., 1981, GROWTH EQUITY POLICI Schramski JR, 2013, ECOL MODEL, V267, P102, DOI 10.1016/j.ecolmodel.2013.07.022 Singh H, 2002, ENERG CONVERS MANAGE, V43, P2275, DOI 10.1016/S0196-8904(01)00161-3 Singh RS, 2013, AMA-AGR MECH ASIA AF, V44, P26 Spugnoli P, 2013, SUSTAIN SCI, V8, P61, DOI 10.1007/s11625-012-0171-7 Starkey P., 2010, LIVESTOCK TRACTION W Stoop WA, 2009, AGR WATER MANAGE, V96, P1491, DOI 10.1016/j.agwat.2009.06.022 Teleni E., 1993, DRAUGHT ANIMAL SYSTE Tennakoon N. A., 2003, COCOS, V15, P23 Thomas C.K, 2000, DRAUGHT ANIMAL NEWS, V33, P4 Wood S., 2004, REV GREENHOUSE GAS E NR 61 TC 3 Z9 3 U1 3 U2 26 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0044-7447 EI 1654-7209 J9 AMBIO JI Ambio PD DEC PY 2016 VL 45 IS 8 BP 885 EP 894 DI 10.1007/s13280-016-0786-5 PG 10 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA EB8SQ UT WOS:000387661600004 PM 27272348 OA Green Published DA 2019-04-09 ER PT J AU Zeng, XT Huang, GH Yang, XL Wang, X Fu, H Li, YP Li, Z AF Zeng, X. T. Huang, G. H. Yang, X. L. Wang, X. Fu, H. Li, Y. P. Li, Z. TI A developed fuzzy-stochastic optimization for coordinating human activity and eco-environmental protection in a regional wetland ecosystem under uncertainties SO ECOLOGICAL ENGINEERING LA English DT Article DE A developed fuzzy approximation mixed; stochastic programming (DFAS); Measure (Me); Rough set theory (RST); A regional wetland ecosystem (RWE); Uncertainty; Water-environment policies ID WATER-RESOURCES MANAGEMENT; PROGRAMMING APPROACH; TRADE-OFFS; CHINA; RESTORATION; MODELS; RIVER; SUSTAINABILITY; ALLOCATION; FLOODPLAIN AB In this study, a developed fuzzy approximation mixed stochastic approach (DFAS) is proposed for a regional wetland ecosystem (RWE) management under uncertainty. DFAS can handle traditional objective non-determinacy (caused by natural element) and anthropogenic uncertainty (caused by artificial factor) expressed as probability distribution and fuzzy set in objective function or constraint; it also extend to reflect compromise of risk attitude/preference of the decision maker in decision-making process through introducing rough set theory (RST) and measure Me. The proposed approach can be applied to a practical RWE management of Yongnianwa wetland, located in north of China, where the natural ecosystem has been suffered severe degradation induced by disharmonious developing speeds between human activities and environment. Results of ecological effects of wetland ecosystem, water allocation patterns, pollution-mitigation schemes, and system benefit analysis can be acquired. The results indicate that wetland ecosystem can produce a numbers of positive effects to the pollution control and environmental protection, where the total excess pollution discharges (concluding TN, TP and BOD) would reduce 202 and 242 tone (LAV and UAV) at highest. Meanwhile, it finds that wetland system method deemed as an effective/appropriate technology can remove 67%, 72% and 88% TN, TP and BOD from wastewater, where water quality standard of effluent would be II, II and III for TN, TP and BOD at best. However, competitive relationships between water consumption from human activity and wetland protection can facilitate decision makers adjusting current water-environment policies with a more efficient/sustainable manner. Meanwhile, tradeoffs between economic benefit and system-failure risk under optimistic/pessimistic option can support generating a robust plan associated with risk control for RWE under uncertainties. All of these detections can avail local decision makers to generate a plan integrating socio-economic development and eco-environmental protection sustainably. (C) 2016 Elsevier B.V. All rights reserved. C1 [Zeng, X. T.] Capital Univ Econ & Bussiness, Sch Labor Econ, Beijing 100070, Peoples R China. [Zeng, X. T.; Li, Y. P.] Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 0A2, Canada. [Huang, G. H.; Li, Y. P.] Beijing Normal Univ, Coll Environm, Beijing 100875, Peoples R China. [Yang, X. L.; Wang, X.; Fu, H.] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China. [Li, Z.] McMaster Univ, Dept Civil Engn, Hamilton, ON L8S 4L7, Canada. RP Yang, XL (reprint author), Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China. EM xlyangbj2015@163.com FU Natural Sciences Foundation of China [41471017]; National Science and Technology Major Project of China [2014ZX072030081]; National Key Research and Development Plan [2016YFC0502800]; National Basic Research Program of China [2013CB430401, 2013CB430406]; National Key Research Development Program of China [2016YFC0502803, 2016YFA0601502]; Funds for International Cooperation and Exchange of the National Natural Science Foundation of China [51520105013] FX This research was supported by the Natural Sciences Foundation of China (Grant Nos. 41471017), National Science and Technology Major Project of China (Grant No. 2014ZX072030081), National Key Research and Development Plan (2016YFC0502800), National Basic Research Program of China (Grant No. 2013CB430401 and 2013CB430406), National Key Research Development Program of China (2016YFC0502803 and 2016YFA0601502), and Funds for International Cooperation and Exchange of the National Natural Science Foundation of China (51520105013). The authors are grateful to the editors and the anonymous reviewers for their insightful comments and suggestions. CR [Anonymous], 2013, HEB MUN DEV REF COMM [Anonymous], 2012, HEB MUN DEV REF COMM [Anonymous], 2004, HEB MUN DEV REF COMM [Anonymous], 2001, HEB MUN DEV REF COMM [Anonymous], 2005, LIVING BEYOND OUR ME [Anonymous], 2005, HEB MUN DEV REF COMM [Anonymous], 2008, COMPUTER SCI INFORM, P145 Aronson J, 2016, ECOL ENG, V91, P392, DOI 10.1016/j.ecoleng.2016.02.043 Atunkaynak A., 2007, THEOR APPL CLIMATOL, V90, P22 Cai YP, 2011, ECOL MODEL, V222, P360, DOI 10.1016/j.ecolmodel.2009.12.012 Cai YP, 2009, EXPERT SYST APPL, V36, P8910, DOI 10.1016/j.eswa.2008.11.032 Cai Y.P., 2009, ECOLOGICAL MODELLING, V222, P360 Calatrava J, 2005, EUR REV AGRIC ECON, V32, P119, DOI [10.1093/eurrag/jbi006, 10.1093/EURRAG/jbi006] Dale VH, 2007, ECOL ECON, V64, P286, DOI 10.1016/j.ecolecon.2007.05.009 Dong C, 2015, ECOL ENG, V76, P95, DOI 10.1016/j.ecoleng.2014.04.003 Dorau K, 2015, ECOL ENG, V84, P84, DOI 10.1016/j.ecoleng.2015.07.017 Hayward J, 2015, ECOL ENG, V82, P165, DOI 10.1016/j.ecoleng.2015.04.086 Hebei Environmental Protection Agency (HEPA), 2009, TIANJ COMPR DISCH ST Hebei Environmental Protection Agency (HEPA), 2012, TIANJ COMPR DISCH ST Hebei Environmental Protection Agency (HEPA), 2004, TIANJ COMPR DISCH ST Hebei Environmental Protection Agency (HEPA), 2005, TIANJ COMPR DISCH ST Hebei Environmental Protection Agency (HEPA), 2001, TIANJ COMPR DISCH ST Hebei Environmental Protection Agency (HEPA), 2000, TIANJ COMPR DISCH ST Hebei Environmental Protection Agency (HEPA), 2011, TIANJ COMPR DISCH ST Hebei Environmental Protection Agency (HEPA), 2010, TIANJ COMPR DISCH ST Hebei Investigation Report on Water Resources (HIRW), 2000, HEB MUN DEV REF COMM Huang Y, 2012, AGR WATER MANAGE, V107, P74, DOI 10.1016/j.agwat.2012.01.012 Inuiguchi M, 2000, FUZZY SET SYST, V111, P3, DOI 10.1016/S0165-0114(98)00449-7 Lambin EF, 2003, ANNU REV ENV RESOUR, V28, P205, DOI 10.1146/annurev.energy.28.050302.105459 Lee CS, 2005, WATER RES, V39, P221, DOI 10.1016/j.waters.2004.09.013 Li YP, 2006, J ENVIRON MANAGE, V81, P188, DOI 10.1016/j.jenvman.2005.10.007 Li YP, 2011, J ENVIRON MANAGE, V92, P2010, DOI 10.1016/j.jenvman.2011.03.022 Li YP, 2011, ECOL MODEL, V222, P370, DOI 10.1016/j.ecolmodel.2009.12.010 Liu BD, 1998, INFORM SCIENCES, V112, P25, DOI 10.1016/S0020-0255(98)10015-4 Liu BD, 2002, IEEE T FUZZY SYST, V10, P445, DOI 10.1109/TFUZZ.2002.800692 Lv Y, 2013, SCI TOTAL ENVIRON, V442, P515, DOI 10.1016/j.scitotenv.2012.10.028 Maqsood M, 2005, EUR J OPER RES, V167, P208, DOI 10.1016/j.ejor.2003.08.068 Mensing DM, 1998, J ENVIRON MANAGE, V53, P349, DOI 10.1006/jema.1998.0215 Mi YJ, 2015, ECOL ENG, V76, P142, DOI 10.1016/j.ecoleng.2014.05.004 Mitsch WJ, 2003, ECOL ENG, V20, P363, DOI 10.1016/j.ecoleng.2003.05.001 Nazemi A.R., 2002, STOCH ENV RES RISK A, V2, P167 Odum HT, 2003, ECOL ENG, V20, P339, DOI 10.1016/j.ecoleng.2003.08.008 Pawlak Z., 1998, P IEEE WORLD C COMP, V1, P106 Qu CS, 2011, ECOL MODEL, V222, P287, DOI 10.1016/j.ecolmodel.2010.07.014 Sanon S, 2012, J ENVIRON MANAGE, V111, P159, DOI 10.1016/j.jenvman.2012.06.008 Tan Q, 2015, J ENVIRON INFORM, V25, P117, DOI 10.3808/jei.201400272 Tan Q, 2013, WATER RESOUR MANAG, V27, P451, DOI 10.1007/s11269-012-0196-9 Trepel M, 2002, ECOL ENG, V19, P127, DOI 10.1016/S0925-8574(02)00038-1 Tsakiris G, 2004, EUR WATER, V7, P25 Vidal-Legaz B, 2013, J ENVIRON MANAGE, V131, P280, DOI 10.1016/j.jenvman.2013.09.036 Wang RS, 2011, ECOL COMPLEX, V8, P15, DOI 10.1016/j.ecocom.2010.11.001 Xu JP, 2013, INFORM SCIENCES, V238, P75, DOI 10.1016/j.ins.2013.02.011 Yang ZF, 2015, ECOL ENG, V76, P1, DOI 10.1016/j.ecoleng.2014.12.007 Yin PY, 2008, J COMPUT APPL MATH, V216, P73, DOI 10.1016/j.cam.2007.04.018 You L, 2014, ECOL MODEL, V288, P127, DOI 10.1016/j.ecolmodel.2014.06.008 ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X Zeng XT, 2016, J WATER RES PLAN MAN, V142, DOI 10.1061/(ASCE)WR.1943-5452.0000593 Zeng XT, 2014, ENG APPL ARTIF INTEL, V35, P164, DOI 10.1016/j.engappai.2014.06.021 Zeng XT, 2015, WATER-SUI, V7, P2771, DOI 10.3390/w7062771 Zhou Y, 2011, STOCH ENV RES RISK A, V25, P67, DOI 10.1007/s00477-010-0409-9 Zhou Y, 2013, OMEGA-INT J MANAGE S, V41, P559, DOI 10.1016/j.omega.2012.07.005 NR 61 TC 4 Z9 5 U1 5 U2 35 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0925-8574 EI 1872-6992 J9 ECOL ENG JI Ecol. Eng. PD DEC PY 2016 VL 97 BP 207 EP 230 DI 10.1016/j.ecoleng.2016.09.002 PG 24 WC Ecology; Engineering, Environmental; Environmental Sciences SC Environmental Sciences & Ecology; Engineering GA ED1CA UT WOS:000388580200023 DA 2019-04-09 ER PT J AU Allen, C Metternicht, G Wiedmann, T AF Allen, Cameron Metternicht, Graciela Wiedmann, Thomas TI National pathways to the Sustainable Development Goals (SDGs): A comparative review of scenario modelling tools SO ENVIRONMENTAL SCIENCE & POLICY LA English DT Article DE Scenario modelling; Sustainable Development Goals; Sustainability science; Ecological economics; Multi-criteria analysis; Analytical hierarchy process ID GENERAL EQUILIBRIUM-MODELS; IMPACT ASSESSMENT; SPECIAL-ISSUE; ENERGY; FRAMEWORK; PROSPECTS; SCIENCE; FUTURE; WATER AB The recently-adopted global Sustainable Development Goals (SDGs) will have significant implications for national development planning in both developed and developing countries in the post-2015 period to 2030. Integrated, nationally-owned SDG strategies will be at the centre of national efforts to implement the new sustainable development agenda. The long-run processes and systems perspective that are inherent in the SDGs present complex analytical problems for policymakers and analysts. Scenario analysis and quantitative modelling will be important analytical tools to support national sustainable development planning, and there is an increasingly sophisticated suite of models available to decision makers. This paper reviews and assesses a broad range of different quantitative models that have the potential to support national development planning for the SDGs. The study develops a typology and inventory of 80 different models, and then reviews the comparative strengths, weaknesses and general utility of different models through an initial screening and subsequent multi-criteria analysis of shortlisted models. Current gaps in model capabilities are highlighted in the context of providing analytical support for national development planning for the SDGs. While some existing models are particularly relevant, it is unlikely that an ideal model can analyse all SDG targets and variables of interest within a single modelling framework. Top-down 'macro framework' models are likely to be more useful for undertaking system-level or economy-wide scenario analysis driven by the national long-term goals and targets, and for exploring trade-offs and synergies among sectors. Bottom-up sectoral models will be able to support far more detailed option-level impact analysis of concrete interventions, technologies and investments. Combining both approaches within an analytical framework will provide a robust approach for analysis and decision-making. The results highlight a range of potential gaps in current modelling capabilities, and provide some new tools to assist with model selection. Crown Copyright (C) 2016 Published by Elsevier Ltd. All rights reserved. C1 [Allen, Cameron; Metternicht, Graciela] UNSW Australia, Sch Biol Earth & Environm Sci, IES, Sydney, NSW 2052, Australia. [Wiedmann, Thomas] UNSW Australia, Sch Civil & Environm Engn, SAP, Sydney, NSW 2052, Australia. [Wiedmann, Thomas] Univ Sydney, ISA, Sch Phys A28, Sydney, NSW 2006, Australia. RP Allen, C (reprint author), UNSW Australia, Sch Biol Earth & Environm Sci, IES, Sydney, NSW 2052, Australia. EM Cameron.allen@abs.gov.au; g.metternicht@unsw.edu.au; t.wiedmann@unsw.edu.au RI Wiedmann, Thomas/C-9158-2011 OI Wiedmann, Thomas/0000-0002-6395-8887; Allen, Cameron/0000-0001-9954-6684 CR Barker T, 2004, TRANSITION SUSTAINAB Bazilian M, 2011, ENERG POLICY, V39, P7896, DOI 10.1016/j.enpol.2011.09.039 Bhattacharyya SC, 2010, INT J ENERGY SECT MA, V4, P494, DOI 10.1108/17506221011092742 Bohringer C, 2006, ECOL ECON, V60, P49, DOI 10.1016/j.ecolecon.2006.03.006 Borjeson L, 2006, FUTURES, V38, P723, DOI 10.1016/j.futures.2005.12.002 Boulanger PM, 2005, ECOL ECON, V55, P337, DOI 10.1016/j.ecolecon.2005.07.033 Catenazzi G., 2009, ADV TECHNOECONOMIC E Connolly D, 2010, APPL ENERG, V87, P1059, DOI 10.1016/j.apenergy.2009.09.026 Daly H. E., 2011, ECOLOGICAL EC PRINCI DeCanio SJ, 2003, ECONOMIC MODELS OF CLIMATE CHANGE: A CRITIQUE, P1, DOI 10.1057/9780230509467 Dodgson J. S., 2009, MULT AN MAN Hedenus F, 2013, J APPL ECON BUS RES, V3, P118 Herbst A., 2012, SWISS SOC EC STAT, V148, P111, DOI DOI 10.1007/BF03399363 Hertwich EG, 2015, P NATL ACAD SCI USA, V112, P6277, DOI 10.1073/pnas.1312753111 Hjorth P, 2006, FUTURES, V38, P74, DOI 10.1016/j.futures.2005.04.005 Hojer M, 2008, J CLEAN PROD, V16, P1958, DOI 10.1016/j.jclepro.2008.01.008 Hourcade JC, 2006, ENERG J, P1 Howells M, 2013, NAT CLIM CHANGE, V3, P621, DOI [10.1038/nclimate1789, 10.1038/NCLIMATE1789] Joshi DK, 2015, WORLD DEV, V70, P286, DOI 10.1016/j.worlddev.2015.01.013 Kok K., 2007, ECOLOGY SOC, V13, P8 Lenzen M., 2015, J CLEAN PRO IN PRESS Miller TR, 2014, SUSTAIN SCI, V9, P239, DOI 10.1007/s11625-013-0224-6 Nicholson CF., 2007, REV METHODS MODELLIN Pedercini M., 2003, WORKING PAPERS SYSTE Pedercini M, 2011, LECT NOTES COMPUT SC, V7041, P447, DOI 10.1007/978-3-642-24690-6_31 Pollitt H., 2010, SCOPING STUDY MACROE Raskin Paul D, 2010, Sustainability, V2, P2626, DOI 10.3390/su2082626 SAATY TL, 1990, EUR J OPER RES, V48, P9, DOI 10.1016/0377-2217(90)90057-I Scrieciu SS, 2007, ECOL ECON, V60, P678, DOI 10.1016/j.ecolecon.2006.09.012 Soderbaum P., 2008, UNDERSTANDING SUSTAI Swart RJ, 2004, GLOBAL ENVIRON CHANG, V14, P137, DOI 10.1016/j.gloenvcha.2003.10.002 Turner GM, 2011, ENVIRON MODELL SOFTW, V26, P1134, DOI 10.1016/j.envsoft.2011.03.007 van Beeck NMJP, 1999, CLASSIFICATION ENERG van Vuuren DP, 2009, ENERG POLICY, V37, P5125, DOI 10.1016/j.enpol.2009.07.024 Vergragt PJ, 2011, TECHNOL FORECAST SOC, V78, P747, DOI 10.1016/j.techfore.2011.03.010 Wieland R, 2014, ENVIRON MODELL SOFTW, V55, P235, DOI 10.1016/j.envsoft.2014.02.001 Wieland V., 2012, WHATS RIGHT MACROECO, P33 NR 37 TC 26 Z9 26 U1 10 U2 57 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1462-9011 EI 1873-6416 J9 ENVIRON SCI POLICY JI Environ. Sci. Policy PD DEC PY 2016 VL 66 BP 199 EP 207 DI 10.1016/j.envsci.2016.09.008 PG 9 WC Environmental Sciences SC Environmental Sciences & Ecology GA ED7YT UT WOS:000389089300021 DA 2019-04-09 ER PT J AU Cox, BC Howard, IL Middleton, A AF Cox, Ben C. Howard, Isaac L. Middleton, Alex TI Case Study of High-Traffic In-Place Recycling on US Highway 49: Multiyear Performance Assessment SO JOURNAL OF TRANSPORTATION ENGINEERING LA English DT Article DE Cold in-place recycling; Full-depth reclamation; High-traffic; Multiple-component binder systems; Asphalt emulsion; Portland cement; Sustainability; Triple bottom line ID PAVEMENTS AB This paper documents the in-place recycling of a high-traffic project (12,000 vehicles per day) on U.S. highway 49 (US-49). Sections built included asphalt emulsion-stabilized cold in-place recycling (CIR), portland cement-stabilized CIR, cement-stabilized full-depth reclamation (FDR), and traditional construction. This paper's objective is to present a case study of US-49 construction and performance through approximately 4.5years of service. Performance was characterized by a distress survey, cored properties, and falling weight deflectometer testing. In particular, findings demonstrated performance and economic trade-offs between cement CIR and emulsion CIR, which could be directly applied to planning decisions. Emulsion CIR exhibited sufficient rutting capacity but reserve cracking capacity, at higher costs relative to cement CIR. Cement CIR, however, was more economical and exhibited excess rutting capacity but not excess cracking capacity. Because there is little need for reserve capacity of one distress when other distresses are past capacity, this paper proposes balanced binder blends (examples might include 2.5% emulsion with 2% cement, or 3% emulsion with 1.5% cement) for future consideration because they can provide sufficient capacity for multiple distresses while balancing economics. C1 [Cox, Ben C.] US Army Engneer Res & Dev Ctr, CEERD GMA, 3909 Halls Ferry Rd, Vicksburg, MS 39180 USA. [Cox, Ben C.] Mississippi State Univ, Dept Civil & Environm Engn, Starkville, MS 39762 USA. [Howard, Isaac L.] Mississippi State Univ, Dept Civil & Environm Engn, Mat & Construct Ind Chair, 501 Hardy Rd,POB 9546, Starkville, MS 39762 USA. [Middleton, Alex] Mississippi Dept Transportat, Div Res, 401 North West St,POB 1850, Jackson, MS 39201 USA. RP Howard, IL (reprint author), Mississippi State Univ, Dept Civil & Environm Engn, Mat & Construct Ind Chair, 501 Hardy Rd,POB 9546, Starkville, MS 39762 USA. EM benjamin.c.cox@erdc.dren.mil; ilhoward@cee.msstate.edu; amiddleton@mdot.ms.gov FU MDOT; Ergon Asphalt & Emulsions Distinguished Doctoral Fellowship in Construction Materials FX Thanks are due to MDOT for funding State Study 250 at Mississippi State University. Additional financial support was available through the Ergon Asphalt & Emulsions Distinguished Doctoral Fellowship in Construction Materials formerly held by Ben C. Cox. Durwood Graham and Jonathan Dixon of MDOT provided project data and information. Thanks are due to Mississippi State University current and former students Chase Hopkins, Alyssa Leard, Drew Moore, and Matt Roddy for assistance with field work and laboratory activities. Permission to publish was granted by the Director, Geotechnical and Structures Laboratory, U.S. Army Engineer Research and Development Center. CR AASHTO, 1993, GUID DES PAV STRUCT [Anonymous], 2010, T340 AASHTO Chen DH, 2007, J PERFORM CONSTR FAC, V21, P293, DOI 10.1061/(ASCE)0887-3828(2007)21:4(293) Chen DH, 2011, J PERFORM CONSTR FAC, V25, P113, DOI 10.1061/(ASCE)CF.1943-5509.0000140 Cox B. C., 2013, WP131 CMRC MISS STAT Cox B. C., 2015, P INT FDN C EQ EXP 2, P349 Cox B. C., 2016, J MATER CIVIL ENG, DOI [10.1061/(ASCE)MT.1943-5533.0001621,04016118, DOI 10.1061/(ASCE)MT.1943-5533.0001621,04016118.JMCEE70899-1561] Cox B. C., 2014, J T RES BOARD, V2444, P11, DOI [10.3141/2444-02, DOI .10.3141/2444-02] Cox B. C., 2015, FHWAMSDOTRD15250 MIS, V2 Hansen J, 2015, ASPHALT PAVEMENT MAG, V20, P47 Howard I. L., 2015, FHWAMSDOTRD15250 MIS Howard IL, 2009, J TRANSP ENG-ASCE, V135, P53, DOI 10.1061/(ASCE)0733-947X(2009)135:2(53) Kim JY, 2010, J PERFORM CONSTR FAC, V24, P265, DOI 10.1061/(ASCE)CF.1943-5509.0000093 Mamlouk M. S., 1991, FHWAAZ91840 AR DEP T Miller J. S, 2003, FHWARD03031 Noureldin S., 2005, FHWAINJTRP200435 IND Shahin M.Y., 2006, PAVEMENT MANAGEMENT Smith CR, 2008, TRANSPORT RES REC, P89, DOI 10.3141/2059-10 Strickland M. J., 2010, CONSTRUCTION MONITOR *UN, 2005, UN GEN ASS 2005 WORL Zhang ZJ, 2008, J GEOTECH GEOENVIRON, V134, P633, DOI 10.1061/(ASCE)1090-0241(2008)134:5(633) NR 21 TC 3 Z9 3 U1 14 U2 68 PU ASCE-AMER SOC CIVIL ENGINEERS PI RESTON PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA SN 0733-947X EI 1943-5436 J9 J TRANSP ENG JI J. Transp. Eng. PD DEC PY 2016 VL 142 IS 12 AR 05016008 DI 10.1061/(ASCE)TE.1943-5436.0000900 PG 12 WC Engineering, Civil; Transportation Science & Technology SC Engineering; Transportation GA ED1MT UT WOS:000388610300011 DA 2019-04-09 ER PT J AU Patel, VK Manley, SC Hair, JF Ferrell, OC Pieper, TM AF Patel, Vijay K. Manley, Scott C. Hair, Joseph F., Jr. Ferrell, O. C. Pieper, Torsten M. TI Is stakeholder orientation relevant for European firms? SO EUROPEAN MANAGEMENT JOURNAL LA English DT Article DE Stakeholder theory; Stakeholder orientation; Market orientation; Proactive orientation; Responsive orientation ID CORPORATE SOCIAL-RESPONSIBILITY; PROACTIVE MARKET ORIENTATIONS; PLS-SEM; CUSTOMER ORIENTATION; PERFORMANCE; ANTECEDENTS; MANAGEMENT; FRAMEWORK; MODELS; SUSTAINABILITY AB Stakeholder theory suggests firms should be sensitive to a broad group of stakeholders and their needs, with balanced trade-offs that are fundamental to achieving sustainable competitive advantage, and ultimately survival. Market orientation (MO) scholars also consistently call, for inclusion of a broader group of stakeholders than the widely studied customer and competitor groups to better understand the impact of multiple stakeholders on firm performance. In response, this study expands the traditional domain of MO and defines overall stakeholder orientation as including customers, competitors, employees and shareholders, designating them as 'core and essential stakeholders.' Scholars have also advocated the inclusion of more forward-looking, proactive considerations in the conceptual framework to complement the usual responsive aspects of MO. Measures for both proactive and responsive orientations for the four core stakeholder groups, representing overall stakeholder orientation, were developed and validated. Findings show that for European firms proactive considerations are potentially more impactful than responsive, and overall stakeholder orientation is a significant predictor of improved financial and non-financial performance. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Patel, Vijay K.] Kean Univ, Sch Management Mkt & Int Business, 1000 Morris Ave, Union, NJ 07083 USA. [Manley, Scott C.] Midwestern State Univ, Dillard Coll Business Adm, 3410 Taft Blvd, Wichita Falls, TX 76308 USA. [Hair, Joseph F., Jr.] Univ S Alabama, Mitchell Coll Business, 5811 USA Dr South, Mobile, AL 36688 USA. [Ferrell, O. C.] Univ New Mexico, Anderson Sch Management, 1924 Las Lomas NE MSC05 3090,1 Univ New Mexico, Albuquerque, NM 87131 USA. [Pieper, Torsten M.] Kennesaw State Univ, Coles Coll Business, 1000 Chastain Rd,BB 255, Kennesaw, GA 30144 USA. RP Patel, VK (reprint author), Kean Univ, Sch Management Mkt & Int Business, 1000 Morris Ave, Union, NJ 07083 USA.; Hair, JF (reprint author), Univ S Alabama, Mitchell Coll Business, 5811 USA Dr South, Mobile, AL 36688 USA. EM vjkpatel@gmail.com; scott.manley@mwsu.edu; joefhair@gmail.com; ocferrell@mgt.unm.edu; tpieper@kennesaw.edu CR Astrachan CB, 2014, J FAM BUS STRATEG, V5, P116, DOI 10.1016/j.jfbs.2013.12.002 Atuahene-Gima K, 2005, J PROD INNOVAT MANAG, V22, P464, DOI 10.1111/j.1540-5885.2005.00144.x BAGOZZI RP, 1991, ADMIN SCI QUART, V36, P421, DOI 10.2307/2393203 Becker JM, 2012, LONG RANGE PLANN, V45, P359, DOI 10.1016/j.lrp.2012.10.001 Berman SL, 1999, ACAD MANAGE J, V42, P488, DOI 10.2307/256972 Blocker CP, 2011, J ACAD MARKET SCI, V39, P216, DOI 10.1007/s11747-010-0202-9 Bollen K. A, 2016, PSYCHOL METHODS Brouthers K. D., 2007, SCHMALENBACH BUSINES, V59, P225, DOI DOI 10.1007/BF03396749 Chin WW, 2008, J MARKET THEORY PRAC, V16, P287, DOI 10.2753/MTP1069-6679160402 Christensen CM, 1996, STRATEGIC MANAGE J, V17, P197, DOI 10.1002/(SICI)1097-0266(199603)17:3<197::AID-SMJ804>3.0.CO;2-U CHURCHILL GA, 1979, J MARKETING RES, V16, P64, DOI 10.2307/3150876 CLARKSON MBE, 1995, ACAD MANAGE REV, V20, P92, DOI 10.5465/AMR.1995.9503271994 Crittenden VL, 2011, J ACAD MARKET SCI, V39, P71, DOI 10.1007/s11747-010-0217-2 DAY GS, 1994, J MARKETING, V58, P37, DOI 10.2307/1251915 DeFoggi J., 2009, J APPL BUSINESS EC, V10, P91 DEMIRGTICKUNT A, 2010, THE WORLD BANK RESEA, V25, P91, DOI DOI 10.1093/WBRO/LKP027 DESHPANDE R, 1993, J MARKETING, V57, P23, DOI 10.2307/1252055 Deshpande R., 1998, J MARKET FOCUSED MAN, V2, P213, DOI DOI 10.1023/A:1009719615327 DESS GG, 1984, STRATEGIC MANAGE J, V5, P265, DOI 10.1002/smj.4250050306 DeVellis R. F., 2012, SCALE DEV THEORY APP, V26 Doh JP, 2006, J MANAGE STUD, V43, P47, DOI 10.1111/j.1467-6486.2006.00582.x Ferrell OC, 2010, J PUBLIC POLICY MARK, V29, P93, DOI 10.1509/jppm.29.1.93 FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312 Freeman R., 1984, STRATEGIC MANAGEMENT Freeman RE, 2011, STAKEHOLDER THEORY: IMPACT AND PROSPECTS, P212 Freeman RE, 2004, ORGAN SCI, V15, P364, DOI 10.1287/orsc.1040.0066 Fuller CM, 2016, J BUS RES, V69, P3192, DOI 10.1016/j.jbusres.2015.12.008 Gaskell G, 1999, SCIENCE, V285, P384, DOI 10.1126/science.285.5426.384 Greenley GE, 2005, J BUS RES, V58, P1483, DOI 10.1016/j.jbusres.2004.07.004 Greenley GE, 1997, J MANAGE STUD, V34, P259, DOI 10.1111/1467-6486.00051 Grinstein A, 2008, J ACAD MARKET SCI, V36, P166, DOI 10.1007/s11747-007-0053-1 Hair J., 2010, MULTIVARIATE DATA AN Hair J. F., ADV ISSUES PARTIAL L Hair JF, PRIMER PARTIAL LEAST Hair JF, 2012, J ACAD MARKET SCI, V40, P414, DOI 10.1007/s11747-011-0261-6 Hair JF, 2011, J MARKET THEORY PRAC, V19, P139, DOI 10.2753/MTP1069-6679190202 Hair JF, 2012, LONG RANGE PLANN, V45, P320, DOI 10.1016/j.lrp.2012.09.008 Harrison JS, 2010, STRATEGIC MANAGE J, V31, P58, DOI 10.1002/smj.801 Henseler J., 2016, INT MARKETING REV, V3 Henseler J, 2015, J ACAD MARKET SCI, V43, P115, DOI 10.1007/s11747-014-0403-8 Henseler J, 2009, ADV INT MARKETING, V20, P277, DOI 10.1108/S1474-7979(2009)0000020014 Hinkin TR, 1998, ORGAN RES METHODS, V1, P104, DOI 10.1177/109442819800100106 HINKIN TR, 1995, J MANAGE, V21, P967, DOI 10.1177/014920639502100509 Hult G. T. M., 2011, AMS REV, V1, P44, DOI DOI 10.1007/S13162-011-0002-5 Hult GTM, 2011, J ACAD MARKET SCI, V39, P1, DOI 10.1007/s11747-010-0223-4 Janz BD, 2003, DECISION SCI, V34, P351, DOI 10.1111/1540-5915.02328 JAWORSKI BJ, 1993, J MARKETING, V57, P53, DOI 10.2307/1251854 Jyoti J, 2012, VISION J BUSINESS PE, V16, P297 Ketchen DJ, 2007, STRATEG MANAGE J, V28, P961, DOI 10.1002/smj.620 Kirca AH, 2005, J MARKETING, V69, P24, DOI 10.1509/jmkg.69.2.24.60761 Klijn EH, 2008, PUBLIC MANAG REV, V10, P505, DOI 10.1080/14719030802263954 KOHLI AK, 1990, J MARKETING, V54, P1, DOI 10.2307/1251866 KOHLI AK, 1993, J MARKETING RES, V30, P467, DOI 10.2307/3172691 Kumar V, 2011, J MARKETING, V75, P16, DOI 10.1509/jmkg.75.1.16 Lado AA, 1997, ACAD MANAGE REV, V22, P110, DOI 10.5465/AMR.1997.9707180261 Lamore PR, 2013, J PROD INNOVAT MANAG, V30, P695, DOI 10.1111/jpim.12024 Laplume AO, 2008, J MANAGE, V34, P1152, DOI 10.1177/0149206308324322 MacKenzie SB, 2005, J APPL PSYCHOL, V90, P710, DOI 10.1037/0021-9010.90.4.710 Maignan I, 2004, J ACAD MARKET SCI, V32, P3, DOI 10.1177/0092070303258971 Maignan I, 2011, J STRATEG MARK, V19, P313, DOI 10.1080/0965254X.2011.581384 Matsuno K, 2000, J MARKETING, V64, P1, DOI 10.1509/jmkg.64.4.1.18078 NAMAN JL, 1993, STRATEGIC MANAGE J, V14, P137, DOI 10.1002/smj.4250140205 NARVER JC, 1990, J MARKETING, V54, P20, DOI 10.2307/1251757 Narver JC, 2004, J PROD INNOVAT MANAG, V21, P334, DOI 10.1111/j.0737-6782.2004.00086.x Parloff R, 2009, FORTUNE, V159, P56 Patel V. X, 2012, EXTENDED STAKEHOLDER Podsakoff PM, 2003, J APPL PSYCHOL, V88, P879, DOI 10.1037/0021-9101.88.5.879 Post JE, 2002, CALIF MANAGE REV, V45, P6, DOI 10.2307/41166151 Rigdon EE, 2012, LONG RANGE PLANN, V45, P341, DOI 10.1016/j.lrp.2012.09.010 Ringle CM, 2015, SMARTPLS 3 Ruf BM, 2001, J BUS ETHICS, V32, P143, DOI 10.1023/A:1010786912118 Sachs S, 2005, CORP GOV-INT J BUS S, V5, P89, DOI 10.1108/14720700510562686 Sheth JN, 2011, J ACAD MARKET SCI, V39, P21, DOI 10.1007/s11747-010-0216-3 SLATER SF, 1995, J MARKETING, V59, P63, DOI 10.2307/1252120 Slater SF, 1998, STRATEGIC MANAGE J, V19, P1001, DOI 10.1002/(SICI)1097-0266(199810)19:10<1001::AID-SMJ996>3.0.CO;2-4 TAN JJ, 1994, STRATEGIC MANAGE J, V15, P1 Tsai KH, 2008, IND MARKET MANAG, V37, P884, DOI 10.1016/j.indmarman.2007.03.005 VENKATRAMAN N, 1986, ACAD MANAGE REV, V11, P801 Waddock S. A., 1997, BUSINESS SOC, V36, P250, DOI DOI 10.1177/000765039703600303 Yau OHM, 2007, EUR J MARKETING, V41, P1306, DOI 10.1108/03090560710821198 Yeoh P, 2010, INT J DISCL GOV, V7, P42, DOI 10.1057/jdg.2009.18 Zhang JF, 2010, J BUS ETHICS, V91, P111, DOI 10.1007/s10551-010-0570-6 NR 82 TC 4 Z9 4 U1 1 U2 28 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0263-2373 EI 1873-5681 J9 EUR MANAG J JI Eur. Manag. J. PD DEC PY 2016 VL 34 IS 6 SI SI BP 650 EP 660 DI 10.1016/j.emj.2016.07.001 PG 11 WC Business; Management SC Business & Economics GA EC5DX UT WOS:000388154400006 DA 2019-04-09 ER PT J AU Jaffee, D Howard, PH AF Jaffee, Daniel Howard, Philip H. TI Who's the fairest of them all? The fractured landscape of US fair trade certification SO AGRICULTURE AND HUMAN VALUES LA English DT Article DE Fair trade; Standards; Certification; Agribusiness; Plantations; Smallholders; Corporations ID COFFEE; SUSTAINABILITY; STANDARDS; QUALITY; PLANTATION; TENSIONS; LABOR AB In recent years, consumers in the United States have been confronted by no fewer than four competing fair-trade labels, each grounded in a separate certification system and widely differing standards. This fracturing is partly a response to the recent split by the U.S. certifier Fair Trade USA from the international fair trade system, but also illustrates longstanding divisions within the fair trade movement. This article explores the dynamics of competition among nonstate standards through content analyses of fair trade standards documents from the four U.S. fair-trade certifications for agrifood products (Fair Trade USA, Fairtrade America, Fair for Life, and the Small Producer Symbol). It analyzes the differences among them, asking what kinds of social and labor relations are facilitated by each, and identifies how closely they correspond with key fair trade principles. We make two primary arguments. First, we contend that the case of fair trade challenges the dominant conceptual model used to analyze competition among multiple private standards in a single arena, in which newer challengers lower the rigor of standards. Second, we argue that the current fractured U.S. certification landscape illuminates divisions among different interest groups over which principles-and which labor and production forms-should be privileged under the banner of fair trade. C1 [Jaffee, Daniel] Portland State Univ, Dept Sociol, 1721 SW Broadway,Rm 217-H, Portland, OR 97201 USA. [Howard, Philip H.] Michigan State Univ, Dept Community Sustainabil, 480 Wilson Rd,Rm 316, E Lansing, MI 48824 USA. RP Jaffee, D (reprint author), Portland State Univ, Dept Sociol, 1721 SW Broadway,Rm 217-H, Portland, OR 97201 USA. EM jaffee@pdx.edu; howardp@msu.edu OI Howard, Philip/0000-0002-1696-8206 CR Bacon CM, 2010, J PEASANT STUD, V37, P111, DOI 10.1080/03066150903498796 Bartley T, 2007, SOC PROBL, V54, P229, DOI 10.1525/sp.2007.54.3.229 Bennett E., 2015, HDB RES FAIR TRADE, P80 Besky S, 2014, CAL STUD FOOD CULT, V47, P1 Besky S, 2010, FAIR TRADE SOCIAL JU, P97 Besky S, 2008, ANTHROPOL WORK REV, V29, P1, DOI 10.1111/j.1548-1417.2008.00007.x Bio Foundation, 2011, FAIR LIF SOC FAIRTR Bio Foundation, 2013, FAIR LIF SOC FAIRTR Busch L, 2011, INFRASTRUCT SER, P1 Dickinson R, 2011, ANAL FAIR TRADE REFL Doherty B, 2013, BUS HIST, V55, P161, DOI 10.1080/00076791.2012.692083 Equal Exchange, 2010, WHY IS EQ EXCH NOW U Fair Trade USA, 2013, FAIR TRAD US MULT IN Fair Trade USA, 2012, CERT MAN FAIR TRAD U Fair Trade USA, 2013, FAIR TRAD US 2013C F Fair Trade USA, 2013, FAIR TRAD US IND SMA Fair Trade USA, 2015, FAIR TRAD US PROD PA Fair Trade USA, 2014, FAIR TRAD US FARM WO Fair World Project, 2014, EC FAIR TRAD CERT AN Fair World Project, 2014, TELL ALL COFF PLAY F Fairtrade America, 2013, FAIRTR AM FAIRTR MAR Fairtrade International, 2014, FAIRTR STAND HIR LAB Fairtrade International, 2011, FAIRTR STAND SMALL P Fairtrade International, 2013, MON SCOP BEN FAIRTR Fairtrade International, 2014, FAIRTR SOURC PARTN C Fairtrade International, 2012, MON SCOP BEN FAIRTR Fairtrade International, 2013, Q A FAIRTR INT FAIR Fairtrade International, 2015, FAIRTR TRAD STAND VE French Fair Trade Platform Fair World Project and FairNess., 2015, INT GUID FAIR TRAD L Fridell M., 2008, REV RADICAL POL ECON, V40, P8 Fundeppo, 2010, COD COND SMALL PROD Fundeppo, 2014, LIST CERT SMALL PROD Fundeppo, 2012, INF GUID SMALL PROC Fundeppo, 2013, GEN STAND SMALL PROD Fundeppo, 2013, SPEC PAR STAND SMALL Fundeppo, 2014, LIST SUST PRIC GEN S Fundeppo, 2014, LIST REG BUYERS Gogoi P., 2008, BUSINESS WEEK Hatanaka M, 2012, AGR HUM VALUES, V29, P65, DOI 10.1007/s10460-011-9329-7 Howard PH, 2013, SUSTAINABILITY-BASEL, V5, P72, DOI 10.3390/su5010072 Howard PH, 2010, RURAL SOCIOL, V75, P244, DOI 10.1111/j.1549-0831.2009.00009.x IMO Fair for Life, FAIR LIF BEC CERT International Labor Rights Forum, 2013, THEO CHOC CAS STUD A Jaffee D, 2007, BREWING JUSTICE: FAIR TRADE COFFEE, SUSTAINABILITY, AND SURVIVAL, P1 Jaffee D, 2012, SOC PROBL, V59, P94, DOI 10.1525/sp.2012.59.1.94 Jaffee D, 2010, J BUS ETHICS, V92, P267, DOI 10.1007/s10551-010-0583-1 Jaffee D, 2010, AGR HUM VALUES, V27, P387, DOI 10.1007/s10460-009-9231-8 Lake Research Partners, 2013, FAIR TRAD LAB RES FI Lyon S., 2010, FAIR TRADE SOCIAL JU Makita R, 2012, DEV POLICY REV, V30, P87, DOI 10.1111/j.1467-7679.2012.00561.x Miller AMM, 2015, J CLEAN PROD, V107, P137, DOI 10.1016/j.jclepro.2014.02.047 Mutersbaugh T, 2005, ENVIRON PLANN A, V37, P2033, DOI 10.1068/a37369 Mutersbaugh T, 2005, J RURAL STUD, V21, P389, DOI 10.1016/j.jrurstud.2005.08.003 NEUMAN W, 2011, NY TIMES Preza M., 2012, COMMUNICATION Pruijn G., 2014, COMMUNICATION RAYNOLDS L. T., 2007, FAIR TRADE CHALLENGE Raynolds LT, 2007, AGR HUM VALUES, V24, P147, DOI 10.1007/s10460-006-9047-8 Raynolds LT, 2014, AGR HUM VALUES, V31, P499, DOI 10.1007/s10460-014-9506-6 Raynolds LT, 2012, J RURAL STUD, V28, P276, DOI 10.1016/j.jrurstud.2012.03.004 Raynolds LT, 2009, WORLD DEV, V37, P1083, DOI 10.1016/j.worlddev.2008.10.001 Reed D, 2009, J BUS ETHICS, V86, P3, DOI 10.1007/s10551-008-9757-5 Renard M. C., 2013, International Journal of Sociology of Agriculture and Food, V20, P51 Renard M-C, 2015, HDB RES FAIR TRADE, P475 Renard MC, 2010, J BUS ETHICS, V92, P287, DOI 10.1007/s10551-010-0584-0 Renard MC, 2003, J RURAL STUD, V19, P87, DOI 10.1016/S0743-0167(02)00051-7 Renard MC, 2005, J RURAL STUD, V21, P419, DOI 10.1016/j.jrurstud.2005.09.002 Rice P, 2012, FAIR TRADE US WHY WE Schaltegger S, 2011, BUS STRATEG ENVIRON, V20, P222, DOI 10.1002/bse.682 Sherman S, 2012, NATION, V295, P22 Smith AM, 2013, SOC ENTERP J, V9, P53, DOI 10.1108/17508611311330000 Smith TM, 2010, GLOBAL ENVIRON CHANG, V20, P511, DOI 10.1016/j.gloenvcha.2010.03.006 Stevis D., 2015, HDB RES FAIR TRADE, P102 World Fair Trade Organization (WFTO), 2013, 10 PRINC FAIR TRAD Zinn Ryan, 2012, BETTER WORLD, V4, P10 NR 75 TC 7 Z9 7 U1 3 U2 27 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0889-048X EI 1572-8366 J9 AGR HUM VALUES JI Agric. Human Values PD DEC PY 2016 VL 33 IS 4 BP 813 EP 826 DI 10.1007/s10460-015-9663-2 PG 14 WC Agriculture, Multidisciplinary; History & Philosophy Of Science; Sociology SC Agriculture; History & Philosophy of Science; Sociology GA EB8UQ UT WOS:000387667100005 DA 2019-04-09 ER PT J AU Conti, KI Gupta, J AF Conti, Kirstin I. Gupta, Joyeeta TI Global governance principles for the sustainable development of groundwater resources SO INTERNATIONAL ENVIRONMENTAL AGREEMENTS-POLITICS LAW AND ECONOMICS LA English DT Article DE Groundwater governance; Transboundary aquifers; Sustainable development; Groundwater sustainability; International groundwater law; Law of transboundary aquifers; Principles for groundwater governance ID TRANSBOUNDARY AQUIFERS; INTERNATIONAL-LAW; WATER-RESOURCES; DRAFT ARTICLES; MANAGEMENT AB A normative framework for the governance of groundwater is emerging at the global level. However, existing analyses have not comprehensively covered all the governance texts that have a bearing on transboundary groundwater resources or looked at them from the perspective of sustainable groundwater governance. Therefore, this paper responds to the questions: What are the global governance texts (including international laws) applicable to groundwater resources; to which forms of the resource do they apply; which principles have been included over time; and what are the implications for sustainable development of groundwater resources now and in the future? The analysis highlights key groundwater concepts, discusses twelve global groundwater governance texts and the thirty principles therein, classifies the principles into ideal-typical categories based on the sustainable development concept; and assesses the gaps and conflicts between the principles and texts. The paper has three key findings. First, groundwater governance is rapidly evolving and there are a number of principles available to promote sustainable development. Second, however, these collective principles do not adequately address (a) the link with all water resources; (b) the potential impact of climate change on water resources; and (c) the impact of trade on equitable sharing of groundwater and protection of groundwater-related ecosystems. Third, to the extent that this collection of principles can contribute to sustainable development, they are inconsistently included in the legally binding groundwater governance texts. Therefore, much progress is needed to ensure a global normative framework that can guide the sustainable governance of groundwater resources. C1 [Conti, Kirstin I.] Univ Amsterdam, AISSR, Governance & Inclus Dev, Nieuwe Actergracht 166, NL-1018 WV Amsterdam, Netherlands. [Conti, Kirstin I.] IGRAC, Westvest 7, NL-2611 AX Delft, Netherlands. [Gupta, Joyeeta] UNESCO IHE Inst Water Educ, Westvest 7, NL-2611 AX Delft, Netherlands. [Gupta, Joyeeta] Univ Amsterdam, Amsterdam Inst Social Sci Res, Fac Social & Behav Sci, Dept Geog Planol & Int Dev Studies, Room 2-12b,Plantage Muidergracht 14, NL-1018 TV Amsterdam, Netherlands. RP Conti, KI (reprint author), Univ Amsterdam, AISSR, Governance & Inclus Dev, Nieuwe Actergracht 166, NL-1018 WV Amsterdam, Netherlands.; Conti, KI (reprint author), IGRAC, Westvest 7, NL-2611 AX Delft, Netherlands. EM k.i.conti@uva.nl; j.gupta@uva.nl OI Gupta, Joyeeta/0000-0003-1424-2660 CR Ahmed L., 2010, REV EUROPEAN COMMUNI, V19, P294, DOI DOI 10.1111/J.1467-9388.2010.00688.X [Anonymous], 1992, UN C ENV DEV RIO DE Bakker K, 2007, ANTIPODE, V39, P430, DOI 10.1111/j.1467-8330.2007.00534.x Biswas AK, 2004, WATER INT, V29, P248, DOI 10.1080/02508060408691775 Bluemel EB, 2004, ECOL LAW QUART, V31, P957 Bogdanovic S., 2004, ILA BERL C 2004 WAT Custodio E, 2002, HYDROGEOL J, V10, P254, DOI 10.1007/s10040-002-0188-6 Dellapenna J., 2009, EVOLUTION LAW POLITI Dellapenna JW, 2011, WATER INT, V36, P584, DOI 10.1080/02508060.2011.599025 Doll P, 2012, J GEODYN, V59-60, P143, DOI 10.1016/j.jog.2011.05.001 Eckstein G, 2014, REV EUR COMP INT ENV, V23, P32, DOI 10.1111/reel.12067 Eckstein GE, 2011, WATER INT, V36, P573, DOI 10.1080/02508060.2011.598642 Eckstein GE, 2007, COLORADO J INT ENV L, V18, P537 Fetter CW, 2001, APPL HYDROGEOLOGY Fitts CR, 2002, GROUNDWATER SCI Fuentes X., 2002, INT ENVIRON AGREEM-P, V2, P109 Gleeson T, 2012, GROUND WATER, V50, P19, DOI 10.1111/j.1745-6584.2011.00825.x Gleeson T, 2010, NAT GEOSCI, V3, P378, DOI 10.1038/ngeo881 Gleick P., 1998, WATER POLICY, V10, P487 Global Water Partnership, 2002, INT WAT RES MAN Goldsmith J., 1998, J INT LAW, V66, P1113 Huber A., 1998, WATER SOCIAL EC GOOD ICWE Dublin Statement, 1992, INT C WAT ENV DEV 21 International Groundwater Resources Assessment Centre (IGRAC), 2015, GLOB OV GLOB GROUNDW International Groundwater Resources Assessment Centre (IGRAC), 2015, TRANSB AQ WORLD 2015 Llamas MR, 2005, WATER SCI TECHNOL, V51, P167 Llamas R., 1992, APPL HYDROL, V1, P3, DOI DOI 10.1007/PL00010965 Machard de Gramont H, 2011, JOINT MANAGEMENT TRA Margat J, 2013, GROUNDWATER AROUND THE WORLD: A GEOGRAPHIC SYNOPSIS, P1 McCaffrey S., 1992, GEORGETOWN INT ENV L, V5, p[1, 1] McCaffrey S. C., 1987, YB INT LAW COMMISSIO, V2, P16 McCaffrey SC, 2011, WATER INT, V36, P566, DOI 10.1080/02508060.2011.597094 McCaffrey SC, 2009, AM J INT LAW, V103, P272, DOI 10.2307/20535150 McIntyre O, 2006, NAT RESOUR J, V46, P157 McIntyre O, 2011, INT COMMUNITY LAW RE, V13, P237, DOI 10.1163/187197311X582386 McIntyre O, 2012, WATER INT, V37, P654, DOI 10.1080/02508060.2012.710948 Mechlem K, 2003, YB INT ENV LAW, V14, P47 Obani P, 2014, CURR OPIN ENV SUST, V11, P63, DOI 10.1016/j.cosust.2014.09.014 PCA, 1910, HAG CONV PAC RES DIS Rieu-Clarke A, 2000, WATER INT, V25, P572, DOI 10.1080/02508060008686872 Savenije HHG, 2002, WATER INT, V27, P98, DOI 10.1080/02508060208686982 Shah T., 2009, TAMING ANARCHY GROUN Shah T, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035005 Siebert S., 2010, HYDROL EARTH SYST SC, V7, P3977, DOI [10.5194/hess-14-1863-2010, DOI 10.5194/HESSD-7-3977-2010] Sindico F, 2011, INT COMMUNITY LAW RE, V13, P255, DOI 10.1163/187197311X585338 Solanes M., 1999, DUBLIN PRINCIPLES WA Stephan RM, 2011, INT COMMUNITY LAW RE, V13, P223, DOI 10.1163/187197311X582287 Tanzi A, 2011, INT COMMUNITY LAW RE, V13, P193, DOI 10.1163/187197311X583240 Vorosmarty CJ, 2015, SCIENCE, V349, P478, DOI 10.1126/science.aac6009 WCED (World Commission on Environmental and Development), 1987, OUR COMMON FUTURE Wijnen M, 2012, MANAGING INVISIBLE U Yamada C, 2011, WATER INT, V36, P557, DOI 10.1080/02508060.2011.597345 Zektser IS, 2004, IHP SERIES GROUNDWAT, V6 Ziganshina D., 2008, SANTA CLARA J INT LA, V15, P113 NR 54 TC 5 Z9 5 U1 2 U2 34 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 1567-9764 EI 1573-1553 J9 INT ENVIRON AGREEM-P JI Int. Environ. Agreem.-Polit. Law Econom. PD DEC PY 2016 VL 16 IS 6 BP 849 EP 871 DI 10.1007/s10784-015-9316-3 PG 23 WC Economics; Environmental Studies; Law; Political Science SC Business & Economics; Environmental Sciences & Ecology; Government & Law GA EB6IC UT WOS:000387484300005 OA Green Published, Other Gold DA 2019-04-09 ER PT J AU Gomez, N Cadarso, MA Monsalve, F AF Gomez, Nuria Cadarso, Maria-Angeles Monsalve, Fabio TI Carbon footprint of a university in a multiregional model: the case of the University of Castilla-La Mancha SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE University carbon footprint; Consumer responsibility; Input-output; Procurement emissions ID INPUT-OUTPUT-ANALYSIS; ECOLOGICAL FOOTPRINT; HIGHER-EDUCATION; INTERNATIONAL-TRADE; CHAIN MANAGEMENT; CONSUMPTION; EMISSIONS; SUSTAINABILITY; PERFORMANCE; SYSTEM AB The increasing concern about the environmental performance and sustainability of firms and organizations also involves educational institutions. If universities aim to become leaders in sustainability aspects, they must adopt strategies that involve the entire university system. As a useful tool for this purpose, the objective of this study was to calculate the carbon footprint for the University of Castilla-La Mancha for the period 2005-2013. The calculation of the university carbon footprint was accomplished through a hybrid environmentally extended input output model in a multiregional framework, which constitutes a novelty of the analysis. The proposed tool also allows the calculation of the potential for emissions reduction of abatement measures. The carbon footprint induced by the consumption of university employees' wages is also undertaken as a way to increase awareness and university outreach to society. The results show the relevance of both imports and indirect emissions and highlight the significance of energy-related emissions enabled by sectors such as renting, electrical and optical equipment, manufacturing or even services. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Gomez, Nuria; Cadarso, Maria-Angeles; Monsalve, Fabio] Univ Castilla La Mancha, Fac Ciencias Econ & Empresariales Albacete, Plaza Univ 2, E-13071 Ciudad Real, Spain. RP Monsalve, F (reprint author), Univ Castilla La Mancha, Fac Ciencias Econ & Empresariales Albacete, Plaza Univ 2, E-13071 Ciudad Real, Spain. EM Nuria.Gomez@uclm.es; Angeles.Cadarso@uclm.es; Fabio.Monsalve@uclm.es RI GOMEZ, NURIA/F-8557-2015; Monsalve, Fabio/E-8610-2010; Cadarso, Maria Angeles/F-4832-2016 OI GOMEZ, NURIA/0000-0001-8583-4095; Monsalve, Fabio/0000-0001-6595-2799; Cadarso, Maria Angeles/0000-0002-5165-7729 FU Spanish Ministry of Economics and Competitiveness [ECO2012-33341]; regional government Junta de Comunidades de Castilla-La Mancha [PPII11-0230-1640] FX We gratefully acknowledge the Spanish Ministry of Economics and Competitiveness for providing funding for this research (project ECO2012-33341) and the regional government Junta de Comunidades de Castilla-La Mancha (project PPII11-0230-1640). CR 1Pastor J.M., 2010, SOCIOECONOMIC CONTRI Achten WMJ, 2013, ECOL INDIC, V34, P352, DOI 10.1016/j.ecolind.2013.05.025 Adomssent M, 2014, J CLEAN PROD, V62, P1, DOI 10.1016/j.jclepro.2013.09.045 Alvarez S, 2014, J CLEAN PROD, V66, P224, DOI 10.1016/j.jclepro.2013.11.050 Baboulet O, 2010, J CLEAN PROD, V18, P1134, DOI 10.1016/j.jclepro.2010.04.006 Berners-Lee M, 2011, SCI TOTAL ENVIRON, V409, P883, DOI 10.1016/j.scitotenv.2010.11.023 Bessette R.W., 2003, J TECHNOLOGY TRANSFE, V28, P355 BULLARD CW, 1988, REV ECON STAT, V70, P708, DOI 10.2307/1935838 Commission E., 2011, BUYING GREEN HDB GRE Conway T.M., 2008, INT J SUST HIGHER ED, V9, P4, DOI DOI 10.1108/14676370810842157 COPERNICUS, 1994, U CHART SUST DEV Cortese A. D., 2003, PLANNING HIGHER ED, V31, P15 Druckman A, 2009, ECOL ECON, V68, P2066, DOI 10.1016/j.ecolecon.2009.01.013 Duarte R, 2010, ENERG ECON, V32, P176, DOI 10.1016/j.eneco.2009.08.007 Eggleston H.S., 2006, GUIDELINES NATL GREE Zafrilla JE, 2012, ENERG POLICY, V51, P708, DOI 10.1016/j.enpol.2012.09.011 Espinosa M, 2014, EUR PLAN STUD, V22, P1342, DOI 10.1080/09654313.2013.786683 EUA, 2014, WORK POL AR EUA DECL EUROSTAT, AIR EM ACC Ferrer-Balas D, 2010, J CLEAN PROD, V18, P607, DOI 10.1016/j.jclepro.2009.12.009 Foran B, 2005, ECOL ECON, V52, P143, DOI 10.1016/j.ecolecon.2004.06.024 Gottlieb D, 2012, ECOL INDIC, V18, P91, DOI 10.1016/j.ecolind.2011.10.010 Hoekstra AY, 2014, SCIENCE, V344, P1114, DOI 10.1126/science.1248365 Huang YA, 2009, ECON SYST RES, V21, P217, DOI 10.1080/09535310903541348 IES (Statistics Servicies of Castilla-La Mancha), INP OUTP FRAM 2005 2 INE (National Institute of Statistics), SPAN HOUS BUDG SURV Joshi S., 2000, J IND ECOL, V3, P95, DOI DOI 10.1162/108819899569449 Junnila SI, 2006, ENVIRON SCI TECHNOL, V40, P7070, DOI 10.1021/es0611902 Kanemoto K, 2012, ENVIRON SCI TECHNOL, V46, P172, DOI 10.1021/es202239t Karstensen J, 2015, EARTH SYST DYNAM, V6, P287, DOI 10.5194/esd-6-287-2015 Klein-Banai C, 2011, ECOL INDIC, V11, P857, DOI 10.1016/j.ecolind.2010.11.002 Krzywinski M, 2009, GENOME RES, V19, P1639, DOI 10.1101/gr.092759.109 Kucukvar M, 2014, J CLEAN PROD, V81, P234, DOI 10.1016/j.jclepro.2014.06.033 Lambrechts W, 2014, ECOL INDIC, V45, P402, DOI 10.1016/j.ecolind.2014.04.043 Jorge ML, 2015, J CLEAN PROD, V106, P34, DOI 10.1016/j.jclepro.2014.07.035 Larsen HN, 2013, J CLEAN PROD, V48, P39, DOI 10.1016/j.jclepro.2011.10.007 Larsen HN, 2012, ENRGY PROCED, V20, P354, DOI 10.1016/j.egypro.2012.03.035 Lenzen M, 2000, ENERGY, V25, P577, DOI 10.1016/S0360-5442(99)00088-2 LENZEN M, 2001, J IND ECOL, V4, P127, DOI DOI 10.1162/10881980052541981 Lenzen M, 2011, ECON SYST RES, V23, P73, DOI 10.1080/09535314.2010.548793 Lenzen M, 2010, ECON SYST RES, V22, P155, DOI 10.1080/09535314.2010.484012 Lozano R, 2015, J CLEAN PROD, V106, P1, DOI 10.1016/j.jclepro.2015.05.113 Lozano R, 2013, J CLEAN PROD, V48, P3, DOI 10.1016/j.jclepro.2013.03.034 Lozano R, 2013, J CLEAN PROD, V48, P10, DOI 10.1016/j.jclepro.2011.10.006 Meng B., 2015, 486 I DEV EC Merciai S, 2014, ECOL ECON, V102, P69, DOI 10.1016/j.ecolecon.2014.03.016 Miller RE., 2009, INPUT OUTPUT ANAL FD Ministry of Agriculture Food and Environment (Spain), 2015, SPAN EM REG SPAN INV Minx JC, 2009, ECON SYST RES, V21, P187, DOI 10.1080/09535310903541298 Moran D, 2014, ECON SYST RES, V26, P245, DOI 10.1080/09535314.2014.935298 Ozawa-Meida L, 2013, J CLEAN PROD, V56, P185, DOI 10.1016/j.jclepro.2011.09.028 Guereca LP, 2013, J CLEAN PROD, V47, P396, DOI 10.1016/j.jclepro.2013.01.030 Peters GP, 2012, BIOGEOSCIENCES, V9, P3247, DOI 10.5194/bg-9-3247-2012 Peters GP, 2008, ECOL ECON, V65, P13, DOI 10.1016/j.ecolecon.2007.10.014 Roessner D, 2013, RES POLICY, V42, P23, DOI 10.1016/j.respol.2012.04.015 Schandl H, 2016, J CLEAN PROD, V132, P45, DOI 10.1016/j.jclepro.2015.06.100 Skelton A, 2011, ENVIRON SCI TECHNOL, V45, P10516, DOI 10.1021/es202313e Suh S, 2004, ECOL ECON, V48, P451, DOI 10.1016/j.ecolecon.2003.10.013 Suh S, 2004, ENVIRON SCI TECHNOL, V38, P657, DOI 10.1021/es0263745 Temurshoev U., 2015, 42015 U LOYOL AND Thurston M, 2011, INT J SUST HIGHER ED, V12, P225, DOI 10.1108/14676371111148018 Timmer M, 2012, 10 WIOD Tobarra Maria A., ROLE WAGES GEOGRAPHY UCLM(University of Castilla-La Mancha), 2013, BUDG ADJ PATH UCLM (University of Castilla-La Mancha), 2011, EN SAV ACT INN INV UNEP,, 2012, EM GAP REP APP 1 Wang YT, 2013, J CLEAN PROD, V61, P1, DOI 10.1016/j.jclepro.2013.09.038 WCED (World Commission on Environmental and Development), 1987, OUR COMMON FUTURE Weinzettel J, 2014, ECOL ECON, V101, P115, DOI 10.1016/j.ecolecon.2014.02.020 Wiedmann T, 2011, ENVIRON SCI POLICY, V14, P1041, DOI 10.1016/j.envsci.2011.07.005 Wiedmann TO, 2009, J IND ECOL, V13, P361, DOI 10.1111/j.1530-9290.2009.00125.x Wilting HC, 2012, ECON SYST RES, V24, P141, DOI 10.1080/09535314.2011.628302 WRI WBCSD, 2004, GREENH GAS PROT CORP Yazdani Z, 2013, APPL MECH MATER, V295-298, P872, DOI 10.4028/www.scientific.net/AMM.295-298.872 Zafrilla JE, 2014, ENVIRON SCI TECHNOL, V48, P14103, DOI 10.1021/es503352s NR 75 TC 2 Z9 3 U1 12 U2 40 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD DEC 1 PY 2016 VL 138 SI SI BP 119 EP 130 DI 10.1016/j.jclepro.2016.06.009 PN 1 PG 12 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA EA6KU UT WOS:000386738900013 DA 2019-04-09 ER PT J AU Barker, ZA Stillwell, AS Berglund, EZ AF Barker, Zachary A. Stillwell, Ashlynn S. Berglund, Emily Z. TI Scenario Analysis of Energy and Water Trade-Offs in the Expansion of a Dual Water System SO JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT LA English DT Article DE Reclaimed water; Energy; Landscape irrigation; Sustainability ID DISTRIBUTION NETWORK DESIGN; RECLAIMED WATER; ECONOMIC-ANALYSIS; REGIONAL WATER; INFRASTRUCTURE; IRRIGATION; REUSE; NEXUS AB Using treated wastewater effluent (reclaimed water) for beneficial purposes can be a sustainable practice that reduces demand on potable networks. However, implementing reclaimed water networks can have unintended effects, specifically unintended increases in energy consumption. This case study employs multiperiod scenario analysis to examine energy consumption associated with the potable and reclaimed water systems for the Town of Cary, North Carolina. Using hydraulic planning models of both systems provided by the design engineers, the conveyance and additional treatment energy is tabulated. This method considers uncertainty in reclaimed water demand by varying the expected demand for each build out of the reclaimed water network. Differential electricity consumption is calculated as the difference between the electricity consumed to deliver reclaimed water through a secondary network compared to the electricity consumed to deliver the same volume through the potable water network. Demand uncertainty, in conjunction with spatial growth, is found to have large impacts on differential electricity consumption. Because of the high quality of wastewater effluent, no additional energy is required for treatment, causing the reclaimed water network to consume less energy than the business-as-usual scenario, where the demands are supplied via the potable network. The differential electricity consumption decreases with network expansion because the reclaimed water system becomes less energy efficient per unit volume with increasing flow rate, while the potable water system energy efficiency remains fairly constant. Understanding the trade-offs between water and energy when planning reclaimed water networks is important for sustainable resource management within the built environment. (C) 2016 American Society of Civil Engineers. C1 [Barker, Zachary A.; Stillwell, Ashlynn S.] Univ Illinois, Dept Civil & Environm Engn, 205 N Mathews Ave,MC-250, Urbana, IL 61801 USA. [Berglund, Emily Z.] NC State Univ, Dept Civil Construct & Environm Engn, CB 7908, Raleigh, NC 27695 USA. RP Barker, ZA (reprint author), Univ Illinois, Dept Civil & Environm Engn, 205 N Mathews Ave,MC-250, Urbana, IL 61801 USA. EM zbarker2@illinois.edu; ashlynn@illinois.edu; emily_berglund@ncsu.edu OI Stillwell, Ashlynn/0000-0002-6781-6480 FU National Science Foundation [1233197] FX The authors would like to thank the following parties for their contributions to this article: the Town of Cary for providing hydraulic models and master plans, and Venu Kandiah for his patience and technical support during the beginning stages of modeling. This research was possible thanks to the support of the National Science Foundation, Grant Number 1233197. CR Alliance for Water Efficiency and American Council for an Energy-Efficient Economy, 2011, ADD EN WAT NEX BLUEP [Anonymous], WAT VERS SEL, V8 Arpke A, 2006, J IND ECOL, V10, P169, DOI 10.1162/108819806775545312 Asano T, 2006, WATER REUSE ISSUES T AWWA (American Water Works Association), 2008, WAT REUS RAT CHARG 2 Bartos MD, 2014, ENVIRON SCI TECHNOL, V48, P2139, DOI 10.1021/es4033343 Beal CD, 2014, J WATER RES PLAN MAN, V140, DOI 10.1061/(ASCE)WR.1943-5452.0000357 Binder AR, 2012, PUBLIC UNDERST SCI, V21, P830, DOI 10.1177/0963662510390159 Black and Veatch, 2007, RECL WAT MAST PLAN T Bowens D., 2007, FALLS LAKE REACHES R CH2MHill and Brown and Caldwell, 2013, FIN LONG RNAG WAT RE Chen WP, 2013, WATER RESOUR RES, V49, P7401, DOI 10.1002/wrcr.20550 Electric Power Research Institute, 2002, WAT SUST Fang AJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/114002 GLEICK PH, 1994, ANNU REV ENERG ENV, V19, P267, DOI 10.1146/annurev.eg.19.110194.001411 Haney P., 1965, SIGNIFICANCE EUTROPH, V57, P91073 Hartley TW, 2006, DESALINATION, V187, P115, DOI 10.1016/j.desal.2005.04.072 Herman JD, 2014, WATER RESOUR RES, V50, P7692, DOI 10.1002/2014WR015338 Hu XT, 2014, J WATER RES PLAN MAN, V140, P724, DOI 10.1061/(ASCE)WR.1943-5452.0000369 Kandiah Venu Kanthan, 2014, World Environmental and Water Resources Congress 2014: Water Without Borders. 2014 World Environmental and Water Resources Congress. Proceedings, P1991 Kandiah Venu K., 2014, World Environmental and Water Resources Congress 2014: Water Without Borders. 2014 World Environmental and Water Resources Congress. Proceedings, P1834 Kang D, 2014, J WATER RES PLAN MAN, V140, P40, DOI 10.1061/(ASCE)WR.1943-5452.0000310 Kang D, 2013, J WATER RES PLAN MAN, V139, P325, DOI 10.1061/(ASCE)WR.1943-5452.0000236 Kang D, 2012, J WATER RES PL-ASCE, V138, P162, DOI 10.1061/(ASCE)WR.1943-5452.0000161 Levine AD, 2004, ENVIRON SCI TECHNOL, V38, p201A, DOI 10.1021/es040504n Loucks D. P., 2005, WATER RESOURCES SYST Lubega WN, 2014, APPL ENERG, V135, P142, DOI 10.1016/j.apenergy.2014.07.101 Mays L. W., 1999, WATER DISTRIBUTION S National Research Council National Academy of Sciences, 2012, WAT REUS POT EXP NAT National Weather Service, 2006, RAL RDU DAIL CLIM NO NC Administrative Code, 2011, TITL 15A SUBCH 02U Okun DA, 1997, J AM WATER WORKS ASS, V89, P52 Pfeiffer L, 2014, J ENVIRON ECON MANAG, V67, P189, DOI 10.1016/j.jeem.2013.12.002 Rossman L. A., 2000, EPANET2 USERS MANUAL Rothman DW, 2014, J WATER RES PLAN MAN, V140, DOI 10.1061/(ASCE)WR.1943-5452.0000425 Sanders KT, 2015, ENVIRON SCI TECHNOL, V49, P51, DOI 10.1021/es504293b Sanders KT, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034034 Schwartz P., 1991, ART LONG VIEW Sorrell S, 2014, ENERGIES, V7, P2850, DOI 10.3390/en7052850 Spang ES, 2015, J IND ECOL, V19, P656, DOI 10.1111/jiec.12240 Stillwell AS, 2015, J WATER RES PLAN MAN, V141, DOI 10.1061/(ASCE)WR.1943-5452.0000522 Stillwell AS, 2014, ENVIRON SCI TECHNOL, V48, P4588, DOI 10.1021/es405820j Stillwell AS, 2011, J WATER REUSE DESAL, V1, P208, DOI 10.2166/wrd.2011.058 Stokes J, 2006, INT J LIFE CYCLE ASS, V11, P335, DOI 10.1065/lca2005.06.214 Stokes JR, 2009, ENVIRON SCI TECHNOL, V43, P2680, DOI 10.1021/es801802h Tidwell VC, 2012, J WATER RES PL-ASCE, V138, P491, DOI 10.1061/(ASCE)WR.1943-5452.0000222 Todini E, 2000, URBAN WATER, V2, P115, DOI DOI 10.1016/S1462-0758(00)00049-2 Town of Cary, 2015, FISCAL YEAR 2015 RAT Toze S, 2006, AGR WATER MANAGE, V80, P147, DOI 10.1016/j.agwat.2005.07.010 U.S. Department of Energy, 2006, EN DEM WAT RES REP C U. S. Energy Information Administration, 2016, N CAR EL PROF U.S. EPA United States Environmental Protection Agency, 2012, GUID WAT REUS Zhang WN, 2013, ENVIRON MODELL SOFTW, V49, P103, DOI 10.1016/j.envsoft.2013.07.008 NR 53 TC 2 Z9 2 U1 1 U2 29 PU ASCE-AMER SOC CIVIL ENGINEERS PI RESTON PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA SN 0733-9496 EI 1943-5452 J9 J WATER RES PLAN MAN JI J. Water Resour. Plan. Manage.-ASCE PD DEC PY 2016 VL 142 IS 12 AR 05016012 DI 10.1061/(ASCE)WR.1943-5452.0000714 PG 10 WC Engineering, Civil; Water Resources SC Engineering; Water Resources GA EC6CJ UT WOS:000388223600015 DA 2019-04-09 ER PT J AU Kharrazi, A Akiyama, T Yu, YD Li, J AF Kharrazi, Ali Akiyama, Tomohiro Yu, Yadong Li, Jia TI Evaluating the evolution of the Heihe River basin using the ecological network analysis: Efficiency, resilience, and implications for water resource management policy SO SCIENCE OF THE TOTAL ENVIRONMENT LA English DT Article DE Ecological network analysis; Sustainability; Water resource management; Heihe River basin; Resilience ID SUSTAINABILITY; ENVIRONMENT; EMISSIONS; FRAMEWORK; SERVICES; CHINA AB One of the most critical challenges in the anthropocentric age is the sustainable management of the planet's increasingly strained water resources. In this avenue, there is a need to advance holistic approaches and objective tools which allow policy makers to better evaluate system-level properties and trade-offs of water resources. This research contributes to the expanding literature in this area by examining the changes to system-level network configurations of the middle reaches of the Heihe River basin from 2000 to 2009. Specifically, through the ecological network analysis (ENA) approach, this research examines changes to the system-level properties of efficiency, redundancy, and evaluates the trade-offs to the resiliency of ecosystem water services of the middle reaches of the Heihe River basin. Our results indicate that while the efficiency of the middle reaches has increased from 2000 to 2009 by 6% and 78% more water is released to the lower reaches, the redundancy of the system has also decreased by 6%. The lower level of redundancy, particularly due to the changes in the ground water body levels, has critical long-term consequences for the resilience of the water ecosystem services of the middle reaches. In consideration of these holistic trade-offs, two hypothetical alternative scenarios, based on water recycling and saving strategies, are developed to improve the long-term health and resilience of the water system. (C) 2016 Elsevier B.V. All rights reserved. C1 [Kharrazi, Ali] IIASA, Adv Syst Anal Program, Laxenburg, Austria. [Kharrazi, Ali] Univ Tokyo, Grad Sch Publ Policy, Tokyo 1138654, Japan. [Akiyama, Tomohiro] Univ Tokyo, Grad Sch Frontier Sci, Grad Program Sustainabil Sci Global Leadership In, Tokyo 1138654, Japan. [Yu, Yadong] East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China. [Li, Jia] Univ Niigata Prefecture, Dept Int Studies & Reg Dev, Niigata, Niigata, Japan. RP Kharrazi, A (reprint author), IIASA, Adv Syst Anal Program, Laxenburg, Austria. EM ali@pp.u-tokyo.ac.jp RI Kharrazi, Ali/M-4097-2018 OI Kharrazi, Ali/0000-0002-5881-2568; Akiyama, Tomohiro/0000-0002-6720-8995 CR Akiyama T., 2012, WORLD FUTURES, V68, P595, DOI DOI 10.1080/02604027.2012.693852 Bodini A, 2012, ECOL MODEL, V245, P185, DOI 10.1016/j.ecolmodel.2012.02.022 Chen SQ, 2014, ENVIRON POLLUT, V190, P139, DOI 10.1016/j.envpol.2014.03.032 Chen SQ, 2012, ENVIRON SCI TECHNOL, V46, P4498, DOI 10.1021/es204662k [程国栋 CHENG Guodong], 2006, [冰川冻土, Journal of Glaciology and Geocryology], V28, P406 Corominas L, 2013, SCI TOTAL ENVIRON, V445, P185, DOI 10.1016/j.scitotenv.2012.12.055 Dasgupta P, 2008, J RISK UNCERTAINTY, V37, P141, DOI 10.1007/s11166-008-9049-6 Fang DL, 2015, ENVIRON SCI TECHNOL, V49, P6722, DOI 10.1021/es505388n Fath BD, 1999, ECOSYSTEMS, V2, P167, DOI 10.1007/s100219900067 Garcia X, 2016, SCI TOTAL ENVIRON, V563, P1078, DOI 10.1016/j.scitotenv.2016.05.010 Hajkowicz S, 2007, WATER RESOUR MANAG, V21, P1553, DOI 10.1007/s11269-006-9112-5 Hering D, 2010, SCI TOTAL ENVIRON, V408, P4007, DOI 10.1016/j.scitotenv.2010.05.031 Hering JG, 2012, SCIENCE, V336, P1234, DOI 10.1126/science.1218230 Huang J, 2014, PLOS ONE, V9, P1 Ji XB, 2006, ENVIRON GEOL, V50, P793, DOI 10.1007/s00254-006-0251-z Jorgensen Sven Erik, 2007, NEW ECOLOGY SYSTEMS Kharrazi A, 2013, ECOL ECON, V90, P177, DOI 10.1016/j.ecolecon.2013.03.018 Li Y, 2011, ECOL MODEL, V222, P1771, DOI 10.1016/j.ecolmodel.2011.03.001 Liu B, 2010, ENVIRON EARTH SCI, V59, P1235, DOI 10.1007/s12665-009-0112-7 LOPEZRIDAURA S, 2002, ECOLOGICAL INDICATOR, V2, P135, DOI DOI 10.1016/S1470-160X(02)00043-2 NCDC, 2015, GLOB SURF SUMM DAY G Reza F. M., 1961, INTRO INFORM THEORY RUTLEDGE RW, 1976, J THEOR BIOL, V57, P355, DOI 10.1016/0022-5193(76)90007-2 Scanlon BR, 2006, HYDROL PROCESS, V20, P3335, DOI 10.1002/hyp.6335 Scott CA, 2014, HYDROL EARTH SYST SC, V18, P1339, DOI 10.5194/hess-18-1339-2014 SHANNON CE, 1948, BELL SYST TECH J, V27, P623, DOI 10.1002/j.1538-7305.1948.tb00917.x Singh RK, 2009, ECOL INDIC, V9, P189, DOI 10.1016/j.ecolind.2008.05.011 Ulanowicz R. E, 2009, 3 WINDOW NATURAL LIF Ulanowicz R.E., 1986, GROWTH DEV ECOSYSTEM ULANOWICZ RE, 1980, J THEOR BIOL, V85, P223, DOI 10.1016/0022-5193(80)90019-3 Ulanowicz RE, 1998, SYST RES BEHAV SCI, V15, P373, DOI 10.1002/(SICI)1099-1743(1998090)15:5<373::AID-SRES271>3.0.CO;2-I ULANOWICZ RE, 1990, INT J SYST SCI, V21, P429, DOI 10.1080/00207729008910372 Ulanowicz RE, 2009, ECOL MODEL, V220, P1886, DOI 10.1016/j.ecolmodel.2009.04.015 Ulanowicz RE, 2009, ECOL COMPLEX, V6, P27, DOI 10.1016/j.ecocom.2008.10.005 UN, 2014, REP OP WORK GROUP GE Wang GX, 1999, J ARID ENVIRON, V43, P121, DOI 10.1006/jare.1999.0563 Wulff F., 1989, NETWORK ANAL MARINE Xue XB, 2015, WATER RES, V77, P155, DOI 10.1016/j.watres.2015.03.017 Xuequan W., 2002, INT J WATER RESOUR D, V18, P335, DOI DOI 10.1080/07900620220135139) Zbigniew W. K., 1997, HYDROLOG SCI J, V42, P467 [张勃 Zhang Bo], 2004, [水土保持学报, Journal of Soil and Water Conservation], V18, P88 NR 41 TC 10 Z9 11 U1 5 U2 60 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0048-9697 EI 1879-1026 J9 SCI TOTAL ENVIRON JI Sci. Total Environ. PD DEC 1 PY 2016 VL 572 BP 688 EP 696 DI 10.1016/j.scitotenv.2016.06.210 PG 9 WC Environmental Sciences SC Environmental Sciences & Ecology GA EC0RA UT WOS:000387807200067 PM 27499498 DA 2019-04-09 ER PT J AU Ziegler, F Hornborg, S Green, BS Eigaard, OR Farmery, AK Hammar, L Hartmann, K Molander, S Parker, RWR Hognes, ES Vazquez-Rowe, I Smith, ADM AF Ziegler, Friederike Hornborg, Sara Green, Bridget S. Eigaard, Ole Ritzau Farmery, Anna K. Hammar, Linus Hartmann, Klaas Molander, Sverker Parker, Robert W. R. Hognes, Erik Skontorp Vazquez-Rowe, Ian Smith, Anthony D. M. TI Expanding the concept of sustainable seafood using Life Cycle Assessment SO FISH AND FISHERIES LA English DT Article DE Carbon footprint; fisheries management; fuel; LCA; seafood; sustainable fisheries ID ENVIRONMENTAL IMPACTS; FISHERIES-MANAGEMENT; PRODUCTION SYSTEMS; CARBON FOOTPRINTS; UNRESOLVED PROBLEMS; ECOSYSTEM APPROACH; FARMED SALMON; UNITED-STATES; PRODUCTS; LCA AB Fisheries management and sustainability assessment of fisheries more generally have recently expanded their scope from single-species stock assessment to ecosystem-based approaches, aiming to incorporate economic, social and local environmental impacts, while still excluding global-scale environmental impacts. In parallel, Life Cycle Assessment (LCA) has emerged as a widely used and recommended framework to assess environmental impacts of products, including global-scale impacts. For over a decade, LCA has been applied to seafood supply chains, leading to new insights into the environmental impact of seafood products. We present insights from seafood LCA research with particular focus on evaluating fisheries management, which strongly influences the environmental impact of seafood products. Further, we suggest tangible ways in which LCA could be taken up in management. By identifying trade-offs, LCA can be a useful decision support tool and avoids problem shifting from one concern (or activity) to another. The integrated, product-based and quantitative perspective brought by LCA could complement existing tools. One example is to follow up fuel use of fishing, as the production and combustion of fuel used dominates overall results for various types of environmental impacts of seafood products, and is also often linked to biological impacts of fishing. Reducing the fuel use of fisheries is therefore effective to reduce overall impacts. Allocating fishing rights based on environmental performance could likewise facilitate the transition to low-impact fisheries. Taking these steps in an open dialogue between fishers, managers, industry, NGOs and consumers would enable more targeted progress towards sustainable fisheries. C1 [Ziegler, Friederike; Hornborg, Sara] SP Tech Res Inst Sweden, Food & Biosci, POB 5401, S-40229 Gothenburg, Sweden. [Green, Bridget S.; Farmery, Anna K.; Hartmann, Klaas; Parker, Robert W. R.] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas, Australia. [Eigaard, Ole Ritzau] Tech Univ Denmark, Natl Inst Aquat Resources, Lyngby, Denmark. [Hammar, Linus; Molander, Sverker] Chalmers, Environm & Energy Dept, Environm Syst Anal, Gothenburg, Sweden. [Hognes, Erik Skontorp] SINTEF Fisheries & Aquaculture, Trondheim, Norway. [Vazquez-Rowe, Ian] Pontificia Univ Catolica Peru, Peruvian LCA Network, Dept Engn, Lima, Peru. [Vazquez-Rowe, Ian] Univ Santiago Compostela, Dept Chem Engn, Santiago De Compostela, Spain. [Smith, Anthony D. M.] CSIRO, Wealth Oceans Flagship, Hobart, Tas, Australia. RP Ziegler, F (reprint author), SP Tech Res Inst Sweden, Food & Biosci, POB 5401, S-40229 Gothenburg, Sweden. EM friederike.ziegler@sp.se RI Farmery, Anna/H-9696-2014; Parker, Robert/J-4476-2012; Molander, Sverker/E-1462-2012 OI Farmery, Anna/0000-0002-8938-0040; Parker, Robert/0000-0003-1910-8081; Vazquez-Rowe, Ian/0000-0002-7469-2033; Molander, Sverker/0000-0002-9081-8847 FU King Carl XVI Gustaf Foundation for Science, Technology and Environment; Swedish Research Council Formas; Australian Department of Education, Employment and Workplace Relations: Grant-ANNIMS Springboard Program; Galician Government FX The King Carl XVI Gustaf Foundation for Science, Technology and Environment and the Swedish Research Council Formas are gratefully acknowledged for funding the workshop that initiated this manuscript as well as the work of FZ and SH. The Australian Department of Education, Employment and Workplace Relations: Grant-ANNIMS Springboard Program supported BG, KH and ADMS to attend the workshop. IVR wishes to thank the Galician Government for financial support (I2C postdoctoral student grants programme). We are also grateful to Peter Tyedmers and four anonymous reviewers who all provided valuable comments that helped us improve the manuscript. CR Agnew DJ, 2014, ICES J MAR SCI, V71, P216, DOI 10.1093/icesjms/fst091 Anderson SC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0014735 ASC, 2016, SALM STAND AQ STEW C Avadi A, 2014, J CLEAN PROD, V70, P118, DOI 10.1016/j.jclepro.2014.01.047 Avadi A, 2013, FISH RES, V143, P21, DOI 10.1016/j.fishres.2013.01.006 Baumann H., 2004, HITCH HIKERS GUIDE L Boissy J, 2011, AQUACULTURE, V321, P61, DOI 10.1016/j.aquaculture.2011.08.033 Branch TA, 2006, CAN J FISH AQUAT SCI, V63, P1647, DOI 10.1139/F06-072 Brandao M, 2012, J IND ECOL, V16, pS3, DOI 10.1111/j.1530-9290.2012.00477.x Brown CJ, 2010, GLOBAL CHANGE BIOL, V16, P1194, DOI 10.1111/j.1365-2486.2009.02046.x Butterworth DS, 1999, ICES J MAR SCI, V56, P985, DOI 10.1006/jmsc.1999.0532 Cederberg C., 2011, GLOBAL FOOD LOSSES F Cheilari A, 2013, MAR POLICY, V40, P18, DOI 10.1016/j.marpol.2012.12.006 Driscoll J, 2015, FISH RES, V172, P385, DOI 10.1016/j.fishres.2015.08.007 Driscoll J, 2010, MAR POLICY, V34, P353, DOI 10.1016/j.marpol.2009.08.005 EC, 2015, EUR COMM WEBS INT PR EC, 2015, EUR COMM WEBS THEM S EC, 2003, COM2003302 EC, P302 EC, 2015, EUR COMM DESCR SEAF Eigaard OR, 2014, REV FISH SCI AQUAC, V22, P156, DOI 10.1080/23308249.2014.899557 Ellingsen H, 2006, INT J LIFE CYCLE ASS, V11, P60, DOI 10.1065/lca2006.01.236 Emanuelsson A., 2014, REPORT LCA MET UNPUB Emanuelsson A, 2014, INT J LIFE CYCLE ASS, V19, P1156, DOI 10.1007/s11367-013-0684-z FAO, 1995, COD COND RESP FISH FAO, 1989, 309 FAO UN FAO, 2014, STAT WORLDS FISH AQ Farmery A, 2015, J CLEAN PROD, V87, P96, DOI 10.1016/j.jclepro.2014.10.063 Farmery A, 2014, J CLEAN PROD, V64, P368, DOI 10.1016/j.jclepro.2013.10.016 Farmery AK, 2015, ENVIRON SCI POLICY, V54, P35, DOI 10.1016/j.envsci.2015.06.007 Finnveden G, 2009, J ENVIRON MANAGE, V91, P1, DOI 10.1016/j.jenvman.2009.06.018 Fulton EA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0084242 Fulton EA, 2011, FISH FISH, V12, P171, DOI 10.1111/j.1467-2979.2011.00412.x Fulton EA, 2011, FISH FISH, V12, P2, DOI 10.1111/j.1467-2979.2010.00371.x Fulton S, 2010, THESIS Funtowicz SO, 1990, UNCERTAINTY QUALITY Garcia SM, 2005, ICES J MAR SCI, V62, P311, DOI 10.1016/j.icesjms.2004.12.003 Harder R, 2015, ENVIRON SCI TECHNOL, V49, P13083, DOI 10.1021/acs.est.5b03302 Harremoes P, 1998, WATER SCI TECHNOL, V37, P9, DOI 10.1016/S0273-1223(98)00051-1 Hauschild MZ, 2013, INT J LIFE CYCLE ASS, V18, P683, DOI 10.1007/s11367-012-0489-5 Henriksson PJG, 2015, ENVIRON SCI TECHNOL, V49, P14176, DOI 10.1021/acs.est.5b04634 Henriksson PJG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121221 Hilborn R, 2013, P NATL ACAD SCI USA, V110, P9187, DOI 10.1073/pnas.1308962110 Hobday AJ, 2011, FISH RES, V108, P372, DOI 10.1016/j.fishres.2011.01.013 Hornborg S, 2014, THESIS Hornborg S, 2013, ENVIRON MANAGE, V52, P1239, DOI 10.1007/s00267-013-0096-7 Hornborg S, 2013, BIOL LETTERS, V9, DOI 10.1098/rsbl.2012.1050 Hornborg S, 2012, MAR POLICY, V36, P1193, DOI 10.1016/j.marpol.2012.02.017 Hospido A, 2005, FISH RES, V76, P174, DOI 10.1016/j.fishres.2005.05.016 IPPC, 2014, 5 IPPC ISO, 2006, 14040 ISO ISO, 2006, 14025 ISO ISO, 2006, 14044 ISO Jennings S, 2005, FISH FISH, V6, P212, DOI 10.1111/j.1467-2979.2005.00189.x KRAV standard, 2015, KRAV STANDARD Kruse SA, 2009, INT J LIFE CYCLE ASS, V14, P8, DOI 10.1007/s11367-008-0040-x Langlois J, 2014, J CLEAN PROD, V73, P63, DOI 10.1016/j.jclepro.2014.01.087 Langlois J, 2014, INT J LIFE CYCLE ASS, V19, P994, DOI 10.1007/s11367-014-0700-y Levin PS, 2009, PLOS BIOL, V7, P23, DOI 10.1371/journal.pbio.1000014 Lifset R, 2012, J IND ECOL, V16, P1, DOI 10.1111/j.1530-9290.2011.00448.x Lloyd SM, 2007, J IND ECOL, V11, P161, DOI 10.1162/jiec.2007.1136 Love DC, 2015, GLOBAL ENVIRON CHANG, V35, P116, DOI 10.1016/j.gloenvcha.2015.08.013 Madin EMP, 2015, MAR POLICY, V57, P178, DOI 10.1016/j.marpol.2015.03.009 Mora C, 2009, PLOS BIOL, V7, DOI 10.1371/journal.pbio.1000131 Ness B, 2007, ECOL ECON, V60, P498, DOI 10.1016/j.ecolecon.2006.07.023 Nijdam D, 2012, FOOD POLICY, V37, P760, DOI 10.1016/j.foodpol.2012.08.002 Nilsson P, 2007, AQUAT CONSERV, V17, P421, DOI 10.1002/aqc.792 OECD, 1993, COR SET IND ENV PERF Parker R., 2012, REV LIFE CYCLE ASSES Parker RWR, 2015, J CLEAN PROD, V103, P517, DOI 10.1016/j.jclepro.2014.05.017 Parker RWR, 2015, FISH FISH, V16, P684, DOI 10.1111/faf.12087 Parker RWR, 2015, J CLEAN PROD, V87, P78, DOI 10.1016/j.jclepro.2014.09.081 Parker RWR, 2012, ENVIRON SCI TECHNOL, V46, P4958, DOI 10.1021/es2040703 Pelletier N, 2007, AQUACULTURE, V272, P399, DOI 10.1016/j.aquaculture.2007.06.024 Pelletier N, 2008, ENVIRON MANAGE, V42, P918, DOI 10.1007/s00267-008-9148-9 Pelletier N, 2011, ANNU REV ENV RESOUR, V36, P223, DOI 10.1146/annurev-environ-081710-161014 Pelletier N, 2009, ENVIRON SCI TECHNOL, V43, P8730, DOI 10.1021/es9010114 Pelletier NL, 2007, INT J LIFE CYCLE ASS, V12, P414, DOI 10.1065/lca2006.09.275 Pikitch EK, 2004, SCIENCE, V305, P346, DOI 10.1126/science.1098222 Ramos S, 2011, INT J LIFE CYCLE ASS, V16, P599, DOI 10.1007/s11367-011-0304-8 Reap J, 2008, INT J LIFE CYCLE ASS, V13, P374, DOI 10.1007/s11367-008-0009-9 Reap J, 2008, INT J LIFE CYCLE ASS, V13, P290, DOI 10.1007/s11367-008-0008-x Rice J, 2003, OCEAN COAST MANAGE, V46, P235, DOI 10.1016/S0964-5691(03)00006-1 Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Ruttan LM, 2007, FISH RES, V83, P73, DOI 10.1016/j.fishres.2006.08.022 Schau EM, 2009, J CLEAN PROD, V17, P325, DOI 10.1016/j.jclepro.2008.08.015 Schleisner L, 2000, RENEW ENERG, V20, P279, DOI 10.1016/S0960-1481(99)00123-8 Smith ADM, 2007, ICES J MAR SCI, V64, P633, DOI 10.1093/icesjms/fsm041 Smith ADM, 1999, ICES J MAR SCI, V56, P967, DOI 10.1006/jmsc.1999.0540 Steinfeld H, 2006, LIV LONG SHAD Sumaila U. Rashid, 2010, Journal of Bioeconomics, V12, P201, DOI 10.1007/s10818-010-9091-8 Svanes E, 2011, INT J LIFE CYCLE ASS, V16, P611, DOI 10.1007/s11367-011-0298-2 Svedang H, 2015, ICES J MAR SCI, V72, P2197, DOI 10.1093/icesjms/fsv112 Svedang H, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms5152 Therivel R, 2010, STRATEGIC ENV ASSESS Thrane M, 2006, INT J LIFE CYCLE ASS, V11, P66, DOI 10.1065/lca2006.01.232 Thrane M, 2009, J CLEAN PROD, V17, P416, DOI 10.1016/j.jclepro.2008.08.007 Thrane Mikkel, 2004, Journal of Industrial Ecology, V8, P223, DOI 10.1162/1088198041269427 Tilman D, 2014, NATURE, V515, P518, DOI 10.1038/nature13959 Tlusty MF, 2012, FISH FISH, V13, P1, DOI 10.1111/j.1467-2979.2011.00404.x Tyedmers P, 2001, FISHERIES IMPACTS N, V9, P12 Valdivia S, 2013, INT J LIFE CYCLE ASS, V18, P1673, DOI 10.1007/s11367-012-0529-1 vansPutten I. E., 2015, J IND ECOL, DOI [10.1111/jiec.12382, DOI 10.1111/JIEC.12382] Vazquez-Rowe I, 2016, INT J LIFE CYCLE ASS, V21, P451, DOI 10.1007/s11367-016-1043-7 Vazquez-Rowe I, 2012, TRENDS FOOD SCI TECH, V28, P116, DOI 10.1016/j.tifs.2012.07.003 Vazquez-Rowe I, 2012, INT J LIFE CYCLE ASS, V17, P535, DOI 10.1007/s11367-012-0395-x Vazquez-Rowe I, 2012, MAR POLICY, V36, P180, DOI 10.1016/j.marpol.2011.05.002 Vazquez-Rowe I, 2011, FISH RES, V110, P128, DOI 10.1016/j.fishres.2011.03.022 Vazquez-Rowe I, 2010, FISH RES, V106, P517, DOI 10.1016/j.fishres.2010.09.027 Veldhuizen LJL, 2015, ENVIRON IMPACT ASSES, V53, P31, DOI 10.1016/j.eiar.2015.04.002 Veldhuizen LJL, 2015, J CLEAN PROD, V94, P76, DOI 10.1016/j.jclepro.2015.01.078 Ward T., 2009, SEAFOOD ECOLABELLING Wardenaar T, 2012, INT J LIFE CYCLE ASS, V17, P1059, DOI 10.1007/s11367-012-0431-x Weber CL, 2008, ENVIRON SCI TECHNOL, V42, P3508, DOI 10.1021/es702969f Woods JS, 2016, ENVIRON INT, V89-90, P48, DOI 10.1016/j.envint.2015.12.033 Zamagni A, 2013, INT J LIFE CYCLE ASS, V18, P1637, DOI 10.1007/s11367-013-0648-3 Ziegler F, 2003, INT J LIFE CYCLE ASS, V8, P39 Ziegler F., 2016, ICES J MARINE SCI Ziegler F, 2008, INT J LIFE CYCLE ASS, V13, P487, DOI 10.1007/s11367-008-0024-x Ziegler F, 2018, INT J LIFE CYCLE ASS, V23, P1357, DOI 10.1007/s11367-015-0898-3 Ziegler F, 2014, MAR POLICY, V44, P72, DOI 10.1016/j.marpol.2013.06.015 Ziegler F, 2013, J IND ECOL, V17, P103, DOI 10.1111/j.1530-9290.2012.00485.x Ziegler F, 2011, J IND ECOL, V15, P527, DOI 10.1111/j.1530-9290.2011.00344.x NR 122 TC 24 Z9 24 U1 7 U2 58 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1467-2960 EI 1467-2979 J9 FISH FISH JI Fish. Fish. PD DEC PY 2016 VL 17 IS 4 BP 1073 EP 1093 DI 10.1111/faf.12159 PG 21 WC Fisheries SC Fisheries GA EA9CO UT WOS:000386938900008 DA 2019-04-09 ER PT J AU Jennings, S Stentiford, GD Leocadio, AM Jeffery, KR Metcalfe, JD Katsiadaki, I Auchterlonie, NA Mangi, SC Pinnegar, JK Ellis, T Peeler, EJ Luisetti, T Baker-Austin, C Brown, M Catchpole, TL Clyne, FJ Dye, SR Edmonds, NJ Hyder, K Lee, J Lees, DN Morgan, OC O'Brien, CM Oidtmann, B Posen, PE Santos, AR Taylor, NGH Turner, AD Townhill, BL Verner-Jeffreys, DW AF Jennings, Simon Stentiford, Grant D. Leocadio, Ana M. Jeffery, Keith R. Metcalfe, Julian D. Katsiadaki, Ioanna Auchterlonie, Neil A. Mangi, Stephen C. Pinnegar, John K. Ellis, Tim Peeler, Edmund J. Luisetti, Tiziana Baker-Austin, Craig Brown, Mary Catchpole, Thomas L. Clyne, Fiona J. Dye, Stephen R. Edmonds, Nathan J. Hyder, Kieran Lee, Janette Lees, David N. Morgan, Owen C. O'Brien, Carl M. Oidtmann, Birgit Posen, Paulette E. Santos, Ana Ribeiro Taylor, Nick G. H. Turner, Andrew D. Townhill, Bryony L. Verner-Jeffreys, David W. TI Aquatic food security: insights into challenges and solutions from an analysis of interactions between fisheries, aquaculture, food safety, human health, fish and human welfare, economy and environment SO FISH AND FISHERIES LA English DT Article DE Ethics; food safety; food security; food system; health; sustainability ID HEPATITIS-E VIRUS; DIOXIN-LIKE PCBS; NORTH-SEA COD; BIVALVE SHELLFISH; UNITED-KINGDOM; CLIMATE-CHANGE; VIBRIO-PARAHAEMOLYTICUS; MARINE ECOSYSTEMS; FARMED SALMON; CONSUMPTION AB Fisheries and aquaculture production, imports, exports and equitability of distribution determine the supply of aquatic food to people. Aquatic food security is achieved when a food supply is sufficient, safe, sustainable, shockproof and sound: sufficient, to meet needs and preferences of people; safe, to provide nutritional benefit while posing minimal health risks; sustainable, to provide food now and for future generations; shock-proof, to provide resilience to shocks in production systems and supply chains; and sound, to meet legal and ethical standards for welfare of animals, people and environment. Here, we present an integrated assessment of these elements of the aquatic food system in the United Kingdom, a system linked to dynamic global networks of producers, processors and markets. Our assessment addresses sufficiency of supply from aquaculture, fisheries and trade; safety of supply given biological, chemical and radiation hazards; social, economic and environmental sustainability of production systems and supply chains; system resilience to social, economic and environmental shocks; welfare of fish, people and environment; and the authenticity of food. Conventionally, these aspects of the food system are not assessed collectively, so information supporting our assessment is widely dispersed. Our assessment reveals trade-offs and challenges in the food system that are easily overlooked in sectoral analyses of fisheries, aquaculture, health, medicine, human and fish welfare, safety and environment. We highlight potential benefits of an integrated, systematic and ongoing process to assess security of the aquatic food system and to predict impacts of social, economic and environmental change on food supply and demand. C1 [Jennings, Simon; Leocadio, Ana M.; Metcalfe, Julian D.; Pinnegar, John K.; Luisetti, Tiziana; Brown, Mary; Catchpole, Thomas L.; Clyne, Fiona J.; Dye, Stephen R.; Edmonds, Nathan J.; Hyder, Kieran; Lee, Janette; O'Brien, Carl M.; Posen, Paulette E.; Santos, Ana Ribeiro; Townhill, Bryony L.] Lowestoft Lab, Ctr Environm Fisheries & Aquaculture Sci, Lowestoft NR33 0HT, Suffolk, England. [Jennings, Simon; Luisetti, Tiziana] Univ East Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England. [Stentiford, Grant D.; Jeffery, Keith R.; Katsiadaki, Ioanna; Auchterlonie, Neil A.; Ellis, Tim; Peeler, Edmund J.; Baker-Austin, Craig; Lees, David N.; Morgan, Owen C.; Oidtmann, Birgit; Taylor, Nick G. H.; Turner, Andrew D.; Verner-Jeffreys, David W.] Weymouth Lab, Ctr Environm Fisheries & Aquaculture Sci, Weymouth DT4 8UB, England. [Mangi, Stephen C.] Ctr Environm Fisheries & Aquaculture Sci, 55 Briseham Rd, Brixham TQ5 9NX, England. [Auchterlonie, Neil A.] IFFO Marine Ingredients Org, Unit C, 22 Amelia St, London SE17 3BZ, England. RP Jennings, S (reprint author), Lowestoft Lab, Ctr Environm Fisheries & Aquaculture Sci, Lowestoft NR33 0HT, Suffolk, England.; Jennings, S (reprint author), Univ East Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England.; Stentiford, GD (reprint author), Weymouth Lab, Ctr Environm Fisheries & Aquaculture Sci, Weymouth DT4 8UB, England. EM simon.jennings@cefas.co.uk; stentiford@cefas.co.uk RI Jennings, Simon/F-5085-2012; Dye, Stephen/C-9456-2011 OI Jennings, Simon/0000-0002-2390-7225; Katsiadaki, Ioanna/0000-0001-8649-2795; Pinnegar, John/0000-0001-5061-9520; Hyder, Kieran/0000-0003-1428-5679; Dye, Stephen/0000-0002-4182-8475; Posen, Paulette/0000-0002-5154-5583 FU Centre for Environment Fisheries and Aquaculture Science FX We thank Julia Brooks, Steven Lawrence, Tom Pickerell and Tsvetina Yordanova of Seafish and Julian Groom and Shaun McLennan of the UK Department of Environment, Food and Rural Affairs for advice on sourcing data and for providing data. We also thank Magnus Johnson and an anonymous referee for suggestions and corrections that helped us to improve the content and text and the Centre for Environment Fisheries and Aquaculture Science for funding. VMS data were provided by the UK Department of Environment, Food and Rural Affairs in raw, uninterpreted form. The Secretary of State for the Environment, Food and Rural Affairs does not accept any liability whatsoever for the interpretation of the data or any reliance placed thereon. CR AB Associates, 2008, RUR DEV STRAT SHETL Abernethy KE, 2010, ICES J MAR SCI, V67, P1076, DOI 10.1093/icesjms/fsp289 Agnew DJ, 2014, ICES J MAR SCI, V71, P216, DOI 10.1093/icesjms/fst091 Agnew D. J., 2014, MARINE STEWARDSHIP C Akbaraly TN, 2008, BRIT J NUTR, V100, P1116, DOI 10.1017/S0007114508971312 Allison E. H., 2005, WHO OWNS THE SEA, P25 Altekruse SF, 2000, EPIDEMIOL INFECT, V124, P489, DOI 10.1017/S0950268899003714 [Anonymous], 2006, FINFISH NEWS, V2, P29 [Anonymous], 2014, FISHING NEWS [Anonymous], 2002, TROUT NEWS, V34, P3 Ashley PJ, 2007, APPL ANIM BEHAV SCI, V104, P199, DOI 10.1016/j.applanim.2006.09.001 Avadi A, 2013, FISH RES, V143, P21, DOI 10.1016/j.fishres.2013.01.006 BAGNIS R, 1970, B WORLD HEALTH ORGAN, V42, P69 Baker-Austin C, 2009, MICROB ECOL, V57, P151, DOI 10.1007/s00248-008-9413-8 Baker-Austin C, 2013, NAT CLIM CHANGE, V3, P73, DOI [10.1038/nclimate1628, 10.1038/NCLIMATE1628] Baker-Austin C, 2010, ENV MICROBIOL REP, V2, P7, DOI 10.1111/j.1758-2229.2009.00096.x Barange M, 2014, NAT CLIM CHANGE, V4, P211, DOI [10.1038/nclimate2119, 10.1038/NCLIMATE2119] Barbuto M, 2010, FOOD RES INT, V43, P376, DOI 10.1016/j.foodres.2009.10.009 Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004 Barrett JH, 2011, J ARCHAEOL SCI, V38, P1516, DOI 10.1016/j.jas.2011.02.017 Berntssen MHG, 2005, AQUACULT NUTR, V11, P219, DOI 10.1111/j.1365-2095.2005.00345.x BEVERTON RJH, 1990, J FISH BIOL, V37, P5, DOI 10.1111/j.1095-8649.1990.tb05015.x BISHOP RC, 1978, AM J AGR ECON, V60, P10, DOI 10.2307/1240156 Black K. D., 2000, ENV IMPACTS AQUACULT Braithwaite V, 2010, DO FISH FEEL PAIN Bridges VE, 2007, PREV VET MED, V81, P80, DOI 10.1016/j.prevetmed.2007.04.008 Burrows MT, 2011, SCIENCE, V334, P652, DOI 10.1126/science.1210288 Caveen AJ, 2014, ADV MAR BIOL, V69, P325, DOI 10.1016/B978-0-12-800214-8.00009-8 CDC, 2009, NOR Charlton A. J., 2015, Journal of Insects as Food and Feed, V1, P7, DOI 10.3920/JIFF2014.0020 Giang CND, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0131855 Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x Chowdhury R, 2012, BMJ-BRIT MED J, V345, DOI 10.1136/bmj.e6698 Costello MJ, 2009, J FISH DIS, V32, P115, DOI 10.1111/j.1365-2761.2008.01011.x Couper A., 2015, FISHERS PLUNDERERS T Crampton VO, 2010, AQUACULT NUTR, V16, P437, DOI 10.1111/j.1365-2095.2010.00780.x Crossan C, 2012, EMERG INFECT DIS, V18, P2085, DOI 10.3201/eid1812.120924 CUSHING DH, 1992, ICES J MAR SCI, V49, P437, DOI 10.1093/icesjms/49.4.437 De Silva SS, 2008, J AGR ENVIRON ETHIC, V21, P459, DOI 10.1007/s10806-008-9109-6 Dechet AM, 2008, CLIN INFECT DIS, V46, P970, DOI 10.1086/529148 Driscoll J, 2010, MAR POLICY, V34, P353, DOI 10.1016/j.marpol.2009.08.005 Dulvy NK, 2000, CONSERV BIOL, V14, P283, DOI 10.1046/j.1523-1739.2000.98540.x E.C, 2012, BLUE GROWTH OPP MAR EA FSA NIEA NRW and SEPA, 2013, RIFE19 EA FSA NIEA N EC, 2013, STRAT GUID SUST DEV EC, 2011, EU PROT DEF WHAT SOL EFSA Scientific Committee, 2015, EFSA J, V13, P3982, DOI [DOI 10.2903/J.EFSA.2015.3982, 10.2903/j.efsa.2015.3982] Ellingsen H, 2006, INT J LIFE CYCLE ASS, V11, P60, DOI 10.1065/lca2006.01.236 Ellis T., 2015, AQUACULTURE STAT UK Elwood RW, 2009, APPL ANIM BEHAV SCI, V118, P128, DOI 10.1016/j.applanim.2009.02.018 Enghoff Inge Bodker, 2000, Archaeofauna, V9, P59 European Food Safety Authority: Marine biotoxins in shellfish-Saxitoxin group, 2009, EFSA J, V1019, P1 European Market Observatory for Fisheries and Aquaculture Products, 2013, CAS STUD PRIC STRUCT Evers DC, 2008, ECOHEALTH, V5, P426, DOI 10.1007/s10393-008-0205-x FAO, 2005, ETH ISS FISH FAO, 2014, STAT WORLD FISH AQ FAO, 2004, FAO FOOD NUTR PAPER, V80, P278 Farm Animal Welfare Committee, 2014, OP WELF FARM FISH TI FDA, 1995, ENV IMP ASS US FORM Filonzi L, 2010, FOOD RES INT, V43, P1383, DOI 10.1016/j.foodres.2010.04.016 FishStatJ, 2015, FISHSTATJ Food and Agriculture Organization, 1996, ROM DECL WORLD FOOD Food Standards Agency, 2015, REM ADV EAT FISH Gharbi K, 2015, J R SOC INTERFACE, V12, DOI 10.1098/rsif.2015.0574 Gil A, 2012, BRIT J NUTR, V107, pS1, DOI 10.1017/S0007114512001420 Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Graddy K, 2006, J ECON PERSPECT, V20, P207, DOI 10.1257/jep.20.2.207 Grandjean P, 2014, LANCET NEUROL, V13, P330, DOI 10.1016/S1474-4422(13)70278-3 Grodzki M, 2014, APPL ENVIRON MICROB, V80, P4269, DOI 10.1128/AEM.00978-14 Hall S. J., 2011, BLUE FRONTIERS MANAG Hall SJ, 2006, CAN J FISH AQUAT SCI, V63, P1344, DOI 10.1139/F06-039 Hallegraeff G. M, 2003, MANUAL HARMFUL MARIN, P25 Hanner R, 2011, MITOCHONDR DNA, V22, P106, DOI 10.3109/19401736.2011.588217 Hart P. J., 2005, WHO OWNS THE SEA Health and Safety Executive, 2014, STAT FAT INJ WORKPL Health and Safety Executive, 2014, HLTH SAF AGR GREAT B Helyar SJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098691 Higman W. A., 2014, RES SUPPORT DEV MONI Hilborn R, 2014, ICES J MAR SCI, V71, P1040, DOI 10.1093/icesjms/fsu034 Hites RA, 2004, SCIENCE, V303, P226, DOI 10.1126/science.1091447 Hixson S. M., 2014, Journal of Aquaculture Research and Development, V5, P234 ICES, 2013, 2013ACOM58 ICES CM ICES, 2014, STOCK ASS DAT ICES, 2011, 2011ACOM15 ICES CM IMF, 2015, WORLD EC OUTL APR 20 [International Labour Organization International Labour Office Special Action Programme to Combat Forced Labour], 2013, CAUGHT SEA FORC LAB James M. A., 2009, STRATEGIC REV POTENT Jennings S, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0133794 Jennings S, 2012, ICES J MAR SCI, V69, P1329, DOI 10.1093/icesjms/fss104 Jennings S, 2012, ICES J MAR SCI, V69, P51, DOI 10.1093/icesjms/fsr173 Kaiser MJ, 2006, MAR ECOL PROG SER, V311, P1, DOI 10.3354/meps311001 Kaiser MJ, 2002, FISH FISH, V3, P114, DOI 10.1046/j.1467-2979.2002.00079.x Kawashima A, 2009, CHEMOSPHERE, V75, P788, DOI 10.1016/j.chemosphere.2008.12.057 Kerby TK, 2012, REV FISH BIOL FISHER, V22, P621, DOI 10.1007/s11160-012-9261-y Kharas H., 2010, 285 OECD DEV CTR Kirn SL, 2005, DEEP-SEA RES PT II, V52, P2543, DOI 10.1016/j.dsr2.2005.06.009 Knowles TG, 2003, FOOD ADDIT CONTAM, V20, P813, DOI 10.1080/0265203031000152398 Lambie-Mumford H, 2014, HOUSEHOLD FOOD SECUR Lambooija E., 2010, FISH RES, V127-128, P1 Lamendin R, 2015, FOOD CONTROL, V47, P436, DOI 10.1016/j.foodcont.2014.07.039 Lampila L. E., 1992, J AQUAT FOOD PROD T, V1, P29, DOI DOI 10.1300/J030V01N03_ Lee CT, 2015, P NATL ACAD SCI USA, V112, P10798, DOI 10.1073/pnas.1503129112 Lee J, 2010, ICES J MAR SCI, V67, P1260, DOI 10.1093/icesjms/fsq010 Lees D, 2000, INT J FOOD MICROBIOL, V59, P81, DOI 10.1016/S0168-1605(00)00248-8 Lees M., 2003, FOOD AUTHENTICITY TR LesBreton A., 1997, J FISH DIS, V20, P145 Lindgren E, 2012, SCIENCE, V336, P418, DOI 10.1126/science.1215735 Lines JA, 2003, AQUACULT ENG, V28, P141, DOI 10.1016/S0144-8609(03)00021-9 Lowther JA, 2012, APPL ENVIRON MICROB, V78, P5812, DOI 10.1128/AEM.01046-12 Maguire ER, 2015, BRIT J NUTR, V113, P181, DOI 10.1017/S0007114514002621 Mahaffey KR, 2011, NUTR REV, V69, P493, DOI 10.1111/j.1753-4887.2011.00415.x Makkar HPS, 2014, ANIM FEED SCI TECH, V197, P1, DOI 10.1016/j.anifeedsci.2014.07.008 Marine Accident Investigation Branch, 2008, AN UK FISH VESS SAF Marko PB, 2004, NATURE, V430, P309, DOI 10.1038/430309b Martinez-Urtaza J, 2010, FOOD RES INT, V43, P1780, DOI 10.1016/j.foodres.2010.04.001 Martinsohn JT, 2011, WOODHEAD PUBL FOOD S, P259 Mattsson Berit, 2003, ENV FRIENDLY FOOD PR McCreary C, 2008, VET REC, V163, P261, DOI 10.1136/vr.163.9.261 Megbowon Iwalewa, 2014, Biotechnology, V13, P213, DOI 10.3923/biotech.2014.213.216 Metcalfe JD, 2009, J FISH BIOL, V75, P2855, DOI 10.1111/j.1095-8649.2009.02462.x Miller D, 2012, FISH FISH, V13, P345, DOI 10.1111/j.1467-2979.2011.00426.x Mood A., 2010, WORSE THINGS HAPPEN Morgan O., 2014, SUPPORTING DOCUMENT Murray AG, 2010, DIS AQUAT ORGAN, V91, P189, DOI 10.3354/dao02262 National Crime Agency, 2014, NCA STRAT ASS NAT SC National Toxicology Program, 2014, REP CARC Neil D., 2010, EFFECT CRUSTASTUN NE Nesheim M., 2007, SEAFOOD CHOICES BALA Nichols PD, 2014, NUTRIENTS, V6, P1063, DOI 10.3390/nu6031063 Nielsen EE, 2012, NAT COMMUN, V3, DOI 10.1038/ncomms1845 O'Brien CM, 2000, NATURE, V404, P142, DOI 10.1038/35004654 OECD, 2015, OECD REV FISH COUNTR Oken E, 2012, ENVIRON HEALTH PERSP, V120, P790, DOI 10.1289/ehp.1104500 Olsen RL, 2012, TRENDS FOOD SCI TECH, V27, P120, DOI 10.1016/j.tifs.2012.06.003 Olsen SH, 2014, FISH RES, V153, P103, DOI 10.1016/j.fishres.2014.01.011 Olsen SH, 2013, FISH RES, V147, P446, DOI 10.1016/j.fishres.2013.03.009 Palenzuela O, 2014, INT J PARASITOL, V44, P189, DOI 10.1016/j.ijpara.2013.10.005 Papworth G. P., 2013, SUMMARY RADIOLOGICAL Parker RWR, 2015, FISH FISH, V16, P684, DOI 10.1111/faf.12087 Pelletier N, 2009, ENVIRON SCI TECHNOL, V43, P8730, DOI 10.1021/es9010114 Perrings C., 1994, Environmental and Resource Economics, V4, P13, DOI 10.1007/BF00691930 PHE-FSA, 2014, NDNS RES YEARS 1 4 C Planque B, 2010, J MARINE SYST, V79, P403, DOI 10.1016/j.jmarsys.2008.12.018 Pope JG, 1996, ICES J MAR SCI, V53, P1157, DOI 10.1006/jmsc.1996.0141 Potasman I, 2002, CLIN INFECT DIS, V35, P921, DOI 10.1086/342330 Ratner BD, 2014, GLOBAL ENVIRON CHANG, V27, P120, DOI 10.1016/j.gloenvcha.2014.05.006 Rehbein H, 2009, FISHERY PRODUCTS QUA Rico A, 2013, AQUACULTURE, V412, P231, DOI 10.1016/j.aquaculture.2013.07.028 Robb DHF, 2002, ANIM WELFARE, V11, P269 Roberts SE, 2010, INT MARIT HEALTH, V61, P143 Rochet M-J, 2015, INT SCI WORKSH IUCN Rose JD, 2014, FISH FISH, V15, P97, DOI 10.1111/faf.12010 Roth B, 2010, ANIM WELFARE, V19, P287 Sainsbury's Supermarkets, 2012, OUR FUT FISH INV CUS Sandler T., 1998, FISCAL STUDIES, V19, P221 Saravanan P, 2010, LANCET, V376, P540, DOI 10.1016/S0140-6736(10)60445-X Schneider O, 2004, AQUAC RES, V35, P1370, DOI 10.1111/j.1365-2109.2004.01179.x Scientific Advisory Committee on Nutrition, 2004, ADV FISH CONS BEN RI Scottish Government, 2014, SCOTT SEA FISH EMPL Seafish, 2014, 2012 EC SURV UK FISH Seafish, 2014, UK SEAF PROC IND REP Seafish, 2015, SEAF GUID RESP FISH Shepherd C. J., 2014, WORLD AGRICULT, V4, P37 Sidhu KS, 2003, REGUL TOXICOL PHARM, V38, P336, DOI 10.1016/j.yrtph.2003.07.002 Simpson SD, 2011, CURR BIOL, V21, P1565, DOI 10.1016/j.cub.2011.08.016 Smith ADM, 2011, SCIENCE, V333, P1147, DOI 10.1126/science.1209395 Smith MD, 2010, SCIENCE, V327, P784, DOI 10.1126/science.1185345 SOCA, 2013, UK HUM TRAFF CTR STR STECF, 2013, 1329 STECF STECF, 2014, STECF1416 Stentiford GD, 2012, J INVERTEBR PATHOL, V110, P141, DOI 10.1016/j.jip.2012.03.013 Sunderland EM, 2007, ENVIRON HEALTH PERSP, V115, P235, DOI 10.1289/ehp.9377 Swanson D, 2012, ADV NUTR, V3, P1, DOI 10.3945/an.111.000893 Tacon AGJ, 2011, FAO FISHERIES AQUACU, P87 Tam CC, 2012, GUT, V61, P69, DOI 10.1136/gut.2011.238386 Tegen Mor Consultants, 2015, SR690 TEG MOR CONS Trussell Trust, 2014, FOODB US TOPS ON MIL Turner AD, 2015, EUROSURVEILLANCE, V20, P2, DOI 10.2807/1560-7917.ES2015.20.2.21009 Turner AD, 2014, HARMFUL ALGAE, V31, P87, DOI 10.1016/j.hal.2013.10.014 Turner R. K., 1998, EC GROWTH SUSTAINABL, P121 Turner R. K., 1999, OXFORD HDB EC GEOGRA, P585 Tyedmers PH, 2005, AMBIO, V34, P635, DOI 10.1639/0044-7447(2005)034[0635:FGFF]2.0.CO;2 UK Government, 2009, UK FOOD SEC ASS OUR UK Government, 2014, 2 UK GOV HOUS COMM E UK Government, 2010, UK FOOD SEC ASS DET UK Government, 2014, SEA FISH STAT 2013 UK Government, 2013, FISH LAB REG 2013 ST United Nations, 2015, WORLD POP PROSP 2015 USDA, 2014, OCE20141 USDA WORLD Usher Sarah, 2015, Metab Eng Commun, V2, P93, DOI 10.1016/j.meteno.2015.04.002 vansHuis A, 2013, ANNU REV ENTOMOL, V58, P563 Vasquez-Rowe I., 2010, FISH RES, V106, P517 Vazquez-Rowe I, 2012, TRENDS FOOD SCI TECH, V28, P116, DOI 10.1016/j.tifs.2012.07.003 Verbeke W, 2005, APPETITE, V44, P67, DOI 10.1016/j.appet.2004.08.006 Verner-Jeffreys D. W., 2015, REV FRESHWATER TREAT Vezzulli L, 2013, MICROB ECOL, V65, P817, DOI 10.1007/s00248-012-0163-2 Ward T, 2008, SEAFOOD ECOLABELLING Warner K., 2013, OCEANA STUDY REVEALS Watson RA, 2016, FISH FISH, V17, P585, DOI 10.1111/faf.12129 [WHO Immunization VaB], 2010, GLOB PREV HEP E VIR World Bank, 2013, 83177GLB WORLD BANK World Commission on Environment and Development, 1987, OUR COMMON FUTURE Worm B, 2009, SCIENCE, V325, P578, DOI 10.1126/science.1173146 Ziegler F, 2014, MAR POLICY, V44, P72, DOI 10.1016/j.marpol.2013.06.015 NR 204 TC 31 Z9 31 U1 20 U2 208 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1467-2960 EI 1467-2979 J9 FISH FISH JI Fish. Fish. PD DEC PY 2016 VL 17 IS 4 BP 893 EP 938 DI 10.1111/faf.12152 PG 46 WC Fisheries SC Fisheries GA EA9CO UT WOS:000386938900001 OA Other Gold, Green Published DA 2019-04-09 ER PT J AU Crona, BI Daw, TM Swartz, W Norstrom, AV Nystrom, M Thyresson, M Folke, C Hentati-Sundberg, J Osterblom, H Deutsch, L Troell, M AF Crona, Beatrice I. Daw, Tim M. Swartz, Wilf Norstrom, Albert V. Nystrom, Magnus Thyresson, Matilda Folke, Carl Hentati-Sundberg, Jonas Osterblom, Henrik Deutsch, Lisa Troell, Max TI Masked, diluted and drowned out: how global seafood trade weakens signals from marine ecosystems SO FISH AND FISHERIES LA English DT Article DE Cross-scale links; feedback; governance; marine ecosystem; signal; trade ID CONSUMER PREFERENCES; ECOLABELED SEAFOOD; FISHERIES; FISH; SUSTAINABILITY; EXTINCTION AB Nearly 40% of seafood is traded internationally and an even bigger proportion is affected by international trade, yet scholarship on marine fisheries has focused on global trends in stocks and catches, or on dynamics of individual fisheries, with limited attention to the link between individual fisheries, global trade and distant consumers. This paper examines the usefulness of fish price as a feedback signal to consumers about the state of fisheries and marine ecosystems. We suggest that the current nature of fisheries systems and global markets prevent transmission of such price signals from source fisheries to consumers. We propose several mechanisms that combine to weaken price signals, and present one example - the North Sea cod - to show how these mechanisms can be tested. The lack of a reliable price feedback to consumers represents a challenge for sustainable fisheries governance. We therefore propose three complimentary approaches to address the missing feedback: (i) strengthening information flow through improved traceability and visibility of individual fishers to consumers, (ii) capitalizing on the changing seafood trade structures and (iii) bypassing and complementing market mechanisms by directly targeting citizens and political actors regarding marine environmental issues through publicity and information campaigns. These strategies each havelimitations and thus need to be pursued together to address the challenge of sustainability in global marine fisheries. C1 [Crona, Beatrice I.; Daw, Tim M.; Norstrom, Albert V.; Nystrom, Magnus; Thyresson, Matilda; Folke, Carl; Hentati-Sundberg, Jonas; Osterblom, Henrik; Deutsch, Lisa; Troell, Max] Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden. [Crona, Beatrice I.; Folke, Carl] Royal Swedish Acad Sci, Box 50005, SE-10405 Stockholm, Sweden. [Daw, Tim M.] Univ East Anglia, Sch Int Dev, Norwich, Norfolk, England. [Swartz, Wilf] Univ British Columbia, UBC Fisheries Ctr, Vancouver, BC, Canada. [Folke, Carl; Troell, Max] Royal Swedish Acad Sci, Beijer Inst Ecol Econ, Stockholm, Sweden. RP Crona, BI (reprint author), Royal Swedish Acad Sci, Box 50005, SE-10405 Stockholm, Sweden. EM beatrice.crona@stockholmresilience.su.se RI Hentati-Sundberg, Jonas/N-6535-2017 OI Hentati-Sundberg, Jonas/0000-0002-3201-9262; Nystrom, Magnus/0000-0003-3608-2426; Daw, Tim/0000-0001-6635-9153; Deutsch, Lisa/0000-0002-1950-5522; Norstrom, Albert/0000-0002-0706-9233; Folke, Carl/0000-0002-4050-3281; Crona, Beatrice/0000-0003-1617-4067; Troell, Max/0000-0002-7509-8140; Osterblom, Henrik/0000-0002-1913-5197 FU Swedish Research Council Formas; Swedish Research Council MISTRA; Global Economic Dynamics and the Biosphere Program of the Royal Swedish Academy of Sciences; Erling Persson Foundation; Nippon Foundation through the NF-UBC Nereus Program FX Support for this work was provided by the Swedish Research Council Formas, Swedish Research Council MISTRA (through a core grant to the Stockholm Resilience Centre), and the Global Economic Dynamics and the Biosphere Program of the Royal Swedish Academy of Sciences, funded by the Erling Persson Foundation. WS was supported by the Nippon Foundation through the NF-UBC Nereus Program. CR Agnew DJ, 2000, MAR POLICY, V24, P361, DOI 10.1016/S0308-597X(00)00012-9 Asche Frank, 2009, Aquaculture Economics and Management, V13, P76, DOI 10.1080/13657300902881641 Barkin JS, 2013, SAVING GLOBAL FISHERIES: REDUCING FISHING CAPACITY TO PROMOTE SUSTAINABILITY, P1 Bellwood DR, 2004, NATURE, V429, P827, DOI 10.1038/nature02691 Bene C, 2010, DEV POLICY REV, V28, P325, DOI 10.1111/j.1467-7679.2010.00486.x Berkes F, 2006, SCIENCE, V311, P1557, DOI 10.1126/science.1122804 Bostock T., 2004, POLICY RES IMPLICATI Branch TA, 2013, TRENDS ECOL EVOL, V28, P409, DOI 10.1016/j.tree.2013.03.003 Brotz L, 2012, HYDROBIOLOGIA, V690, P3, DOI 10.1007/s10750-012-1039-7 Cambridge T., 2011, RES ENV IMPACTS MSC DAYTON PK, 1995, AQUAT CONSERV, V5, P205, DOI 10.1002/aqc.3270050305 Deutsch L, 2011, ECOSYSTEM SERVICES G, P120 FAO (Food and Agriculture Organization of the United Nations), 2010, STAT WORLD FISH AQ 2 Gallet CA, 2010, AM J AGR ECON, V92, P258, DOI 10.1093/ajae/aap008 Gillespie A, 2011, FDN EC Grieve Chris, 2006, ENV BENEFITS RESULTI Guillotreau P., 2001, 9 EAFE C IT, P1 Harley SJ, 2001, CAN J FISH AQUAT SCI, V58, P1760, DOI 10.1139/cjfas-58-9-1760 Johnston RJ, 2001, J AGR RESOUR ECON, V26, P20 Kasperson RE, 1996, ANN AM ACAD POLIT SS, V545, P95, DOI 10.1177/0002716296545001010 Lewison RL, 2004, TRENDS ECOL EVOL, V19, P598, DOI 10.1016/j.tree.2004.09.004 Little DC, 2012, MAR POLICY, V36, P738, DOI 10.1016/j.marpol.2011.10.006 Makino M, 2011, FISHERIES MANAGEMENT Maloni M., 2000, J BUSINESS LOGISTICS, V21, P49 Marko PB, 2004, NATURE, V430, P309, DOI 10.1038/430309b Morato T, 2006, FISH FISH, V7, P24, DOI 10.1111/j.1467-2979.2006.00205.x OECD, 2010, GLOB FISH AQ OPP CHA Peattie K, 2010, ANNU REV ENV RESOUR, V35, P195, DOI 10.1146/annurev-environ-032609-094328 Ranyard R, 2008, J ECON PSYCHOL, V29, P378, DOI 10.1016/j.joep.2008.07.002 Sadovy Y, 2003, FISH FISH, V4, P86, DOI 10.1046/j.1467-2979.2003.00104.x Seyfang G, 2005, ENVIRON POLIT, V14, P290, DOI 10.1080/096440105000055209 Srinivasan UT., 2010, J BIOECONOMICS, V2, P183, DOI DOI 10.1007/S10818-010-9090-9 Stokstad E, 2011, SCIENCE, V334, P746, DOI 10.1126/science.334.6057.746 Swartz W, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015143 Tacon AGJ, 2008, AQUACULTURE, V285, P146, DOI 10.1016/j.aquaculture.2008.08.015 Teh LCL, 2013, FISH FISH, V14, P77, DOI 10.1111/j.1467-2979.2011.00450.x Thurstan RH, 2010, NAT COMMUN, V1, DOI 10.1038/ncomms1013 Tveteras S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036731 Wessells CR, 1999, AM J AGR ECON, V81, P1084, DOI 10.2307/1244088 NR 39 TC 30 Z9 30 U1 0 U2 19 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1467-2960 EI 1467-2979 J9 FISH FISH JI Fish. Fish. PD DEC PY 2016 VL 17 IS 4 BP 1175 EP 1182 DI 10.1111/faf.12109 PG 8 WC Fisheries SC Fisheries GA EA9CO UT WOS:000386938900012 DA 2019-04-09 ER PT J AU Hodbod, J Barreteau, O Allen, C Magda, D AF Hodbod, Jennifer Barreteau, Olivier Allen, Craig Magda, Daniele TI Managing adaptively for multifunctionality in agricultural systems SO JOURNAL OF ENVIRONMENTAL MANAGEMENT LA English DT Article DE Multifunctionality; Adaptive management; Agricultural systems; Adaptive Multi-Paddock grazing; Agroecology; Resilience ID SOCIAL-ECOLOGICAL SYSTEMS; ECOSYSTEM SERVICES; FARMING SYSTEMS; CLIMATE-CHANGE; BIODIVERSITY; MANAGEMENT; RESILIENCE; SUSTAINABILITY; AGROECOSYSTEMS; AGROECOLOGY AB The critical importance of agricultural systems for food security and as a dominant global landcover requires management that considers the full dimensions of system functions at appropriate scales, i.e. multifunctionality. We propose that adaptive management is the most suitable management approach for such goals, given its ability to reduce uncertainty over time and support multiple objectives within a system, for multiple actors. As such, adaptive management may be the most appropriate method for sustainably intensifying production whilst increasing the quantity and quality of ecosystem services. However, the current assessment of performance of agricultural systems doesn't reward ecosystem service provision. Therefore, we present an overview of the ecosystem functions agricultural systems should and could provide, coupled with a revised definition for assessing the performance of agricultural systems from a multifunctional perspective that, when all satisfied; would create adaptive agricultural systems that can increase production whilst ensuring food security and the quantity and quality of ecosystem services. The outcome of this high level of performance is the capacity to respond to multiple shocks without collapse, equity and triple bottom line sustainability. Through the assessment of case studies, we find that alternatives to industrialized agricultural systems incorporate more functional goals, but that there are mixed findings as to whether these goals translate into positive measurable outcomes. We suggest that an adaptive management perspective would support the implementation of a systematic analysis of the social, ecological and economic trade-offs occurring within such systems, particularly between ecosystem services and functions, in order to provide suitable and comparable assessments. We also identify indicators to monitor performance at multiple scales in agricultural systems which can be used within an adaptive management framework to increase resilience at multiple scales. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Hodbod, Jennifer] Arizona State Univ, Walton Sustainabil Solut Initiat, Julie Ann Wrigley Global Inst Sustainabil, POB 875204, Tempe, AZ 85287 USA. [Barreteau, Olivier] IRSTEA, UMR G EAU, 361 Rue Jean Francois Breton,BP 5095, F-34196 Montpellier, France. [Allen, Craig] Univ Nebraska, Nebraska Cooperat Fish & Wildlife Unit, US Geol Survey, 423 Hardin Hall,3310 Holdrege St, Lincoln, NE 68583 USA. [Magda, Daniele] INRA, UMR AGIR 1248, 24 Chemin Borde Rouge, F-31326 Castanet Tolosan, France. RP Hodbod, J (reprint author), Arizona State Univ, Walton Sustainabil Solut Initiat, Julie Ann Wrigley Global Inst Sustainabil, POB 875204, Tempe, AZ 85287 USA. EM jennifer.hodbod@asu.edu; olivier.barreteau@irstea.fr; callen3@unl.edu; dmagda@toulouse.inra.fr OI Hodbod, Jennifer/0000-0001-8899-6583 FU U.S. Geological Survey; Nebraska Game and Parks Commission; University of Nebraska-Lincoln; U.S. Fish and Wildlife Service; Wildlife Management Institute FX We thank the Resilience Alliance for supporting a meeting in Antony, France where many of these ideas began to be discussed. The Nebraska Cooperative Fish and Wildlife Research Unit is jointly supported by a cooperative agreement between the U.S. Geological Survey, the Nebraska Game and Parks Commission, the University of Nebraska-Lincoln, the U.S. Fish and Wildlife Service and the Wildlife Management Institute. CR Alexandratos N, 2012, WORLD AGR 2030 2050 Alfaro-Arguello R, 2010, AGR SYST, V103, P639, DOI 10.1016/j.agsy.2010.08.002 Allen CR, 2015, ADAPTIVE MANAGEMENT Allen CR, 2011, J ENVIRON MANAGE, V92, P1339, DOI 10.1016/j.jenvman.2010.11.019 Allison HE, 2004, ECOL SOC, V9 ALTIERI MA, 1989, AGR ECOSYST ENVIRON, V27, P37, DOI 10.1016/0167-8809(89)90070-4 Altieri MA, 1999, AGR ECOSYST ENVIRON, V74, P19, DOI 10.1016/S0167-8809(99)00028-6 Anderies JM, 2015, B MATH BIOL, V77, P259, DOI 10.1007/s11538-014-0030-z Berkes F., 1998, LINKING SOCIAL ECOLO Biondini ME, 1996, ECOL APPL, V6, P239, DOI 10.2307/2269567 Bock CE, 1999, CONSERV BIOL, V13, P1117, DOI 10.1046/j.1523-1739.1999.98313.x Briske DD, 2008, RANGELAND ECOL MANAG, V61, P3, DOI 10.2111/06-159R.1 Cabell JF, 2012, ECOL SOC, V17, DOI 10.5751/ES-04666-170118 Caron Patrick, 2008, International Journal of Agricultural Resources Governance and Ecology, V7, P301 Cumming GS, 2006, BIOL CONSERV, V131, P533, DOI 10.1016/j.biocon.2006.02.025 Daily G., 1997, NATURES SERVICES SOC Darnhofer I, 2010, INT J AGR SUSTAIN, V8, P186, DOI 10.3763/ijas.2010.0480 Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124 Delgado JA, 2011, J SOIL WATER CONSERV, V66, p118A, DOI 10.2489/jswc.66.4.118A Didier EA, 2004, J RANGE MANAGE, V57, P330, DOI 10.2307/4003855 Dramstad WE, 2006, LANDSCAPE URBAN PLAN, V78, P465, DOI 10.1016/j.landurbplan.2005.12.006 Earl J. M., 1996, Rangeland Journal, V18, P327, DOI 10.1071/RJ9960327 Elkington J, 1997, CANNIBALS FORKS TRIP Elmqvist T, 2003, FRONT ECOL ENVIRON, V1, P488, DOI 10.1890/1540-9295(2003)001[0488:RDECAR]2.0.CO;2 Ericksen PJ, 2008, GLOBAL ENVIRON CHANG, V18, P234, DOI 10.1016/j.gloenvcha.2007.09.002 Fazey I, 2010, ECOL SOC, V15 Fischer J, 2010, P NATL ACAD SCI USA, V107, P19597, DOI 10.1073/pnas.1008476107 Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711 Food and Agricultural Organization of the United Nations, 2002, STAT FOOD INS WORLD Food and Agriculture Organization of the United Nations (FAO), 2013, CLIM SMART AGR SOURC Gerrish J., 2004, MANAGEMENT INTENSIVE Gordon LJ, 2010, AGR WATER MANAGE, V97, P512, DOI 10.1016/j.agwat.2009.03.017 Groenfeldt D, 2006, IRRIG DRAIN, V55, P73, DOI 10.1002/ird.217 Hodbod J, 2015, J ENV STUD SCI, V5, P474, DOI DOI 10.1007/S13412-015-0280-6 Holling C. S., 1978, ADAPTIVE ENV ASSESSM Holling C. S., 2002, PANARCHY UNDERSTANDI, P63 Holling C. S., 1996, ENG ECOLOGICAL CONST IFAD, 2015, COMB RANG DEGR EXP I Kleijn D, 2006, ECOL LETT, V9, P243, DOI 10.1111/j.1461-0248.2005.00869.x Koohafkan P, 2012, INT J AGR SUSTAIN, V10, P61, DOI 10.1080/14735903.2011.610206 Kremen C, 2005, ECOL LETT, V8, P468, DOI 10.1111/j.1461-0248.2005.00751.x Kremen C, 2012, ECOL SOC, V17, DOI 10.5751/ES-05103-170444 Lampkin N. H., 1994, EC ORGANIC FARMING Leifeld J, 2010, AMBIO, V39, P585, DOI 10.1007/s13280-010-0082-8 Lescourret F, 2015, CURR OPIN ENV SUST, V14, P68, DOI 10.1016/j.cosust.2015.04.001 Miettinen R, 2005, ORGANIZATION, V12, P437, DOI 10.1177/1350508405051279 Millenium Ecosystem Assessment, 2005, ECOSYSTEMS HUMAN WEL Neely C., 2009, REV EVIDENCE DRYLAND Nerbonne JF, 2003, AGRIC HUMAN VALUES, V20, P65, DOI 10.1023/A:1022417608796 Osteen C., 2012, AGR RESOURCE ENV IND Pacini C, 2003, AGR ECOSYST ENVIRON, V95, P273, DOI 10.1016/S0167-8809(02)00091-9 Palm C, 2014, AGR ECOSYST ENVIRON, V187, P87, DOI 10.1016/j.agee.2013.10.010 Peterson G, 1998, ECOSYSTEMS, V1, P6, DOI 10.1007/s100219900002 Poppy GM, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2012.0288 Power AG, 2010, PHILOS T R SOC B, V365, P2959, DOI 10.1098/rstb.2010.0143 Ragab R, 2002, BIOSYST ENG, V81, P3, DOI 10.1006/bioe.2001.0013 Resilience Alliance, 2010, ASS RES SOC EC SYST Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Savory A., 1999, HOLISTIC MANAGEMENT Seufert V, 2012, NATURE, V485, P229, DOI 10.1038/nature11069 Sherren K, 2012, AGR SYST, V106, P72, DOI 10.1016/j.agsy.2011.11.001 Smith-Spangler C, 2012, ANN INTERN MED, V157, P348, DOI 10.7326/0003-4819-157-5-201209040-00007 Sodhi NS, 2010, CONSERVATION BIOLOGY FOR ALL, P1 Stinner DH, 1997, AGR ECOSYST ENVIRON, V62, P199, DOI 10.1016/S0167-8809(96)01135-8 Stoate C, 2009, J ENVIRON MANAGE, V91, P22, DOI 10.1016/j.jenvman.2009.07.005 Taylor CA, 1997, J RANGE MANAGE, V50, P439, DOI 10.2307/4003313 Teague R, 2013, J ENVIRON MANAGE, V128, P699, DOI 10.1016/j.jenvman.2013.05.064 Teague WR, 2011, AGR ECOSYST ENVIRON, V141, P310, DOI 10.1016/j.agee.2011.03.009 TEEB - The Economics of Ecosystems and Biodiversity, 2010, EC EC BIOD MAINSTR E Tilman D, 1997, SCIENCE, V277, P1300, DOI 10.1126/science.277.5330.1300 Tomich TP, 2011, ANNU REV ENV RESOUR, V36, P193, DOI 10.1146/annurev-environ-012110-121302 Walker B, 2004, ECOL SOC, V9 NR 72 TC 9 Z9 9 U1 3 U2 84 PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD PI LONDON PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND SN 0301-4797 EI 1095-8630 J9 J ENVIRON MANAGE JI J. Environ. Manage. PD DEC 1 PY 2016 VL 183 BP 379 EP 388 DI 10.1016/j.jenvman.2016.05.064 PN 2 PG 10 WC Environmental Sciences SC Environmental Sciences & Ecology GA EA2HV UT WOS:000386414300005 PM 27349502 DA 2019-04-09 ER PT J AU Bohmelt, T Boker, M Ward, H AF Bohmelt, Tobias Boker, Marit Ward, Hugh TI Democratic inclusiveness, climate policy outputs, and climate policy outcomes SO DEMOCRATIZATION LA English DT Article DE climate policy; democracy; inclusiveness; environmental sustainability ID DELIBERATIVE DEMOCRACY; GOVERNMENTAL ORGANIZATIONS; POLLUTION-CONTROL; MINI-PUBLICS; ENVIRONMENT; GOVERNANCE; SUSTAINABILITY; COUNTRIES; POLITICS; TRADE AB In an ideal inclusive political system, all citizens are equally able to influence and challenge policies. We focus on how inclusiveness affects climate policies and outcomes. We argue that more inclusive systems should produce more policies in response to environmental threats and should have better outcomes. We test these hypotheses using panel and cross-sectional data relating to climate policy outputs and outcomes. The results suggest that inclusiveness is positively associated with policy outputs, but probably not with lower emissions of greenhouse gases. This pattern may relate to a lack of deliberation in systems, which are relatively inclusive in the narrower sense of pluralist democratic theory. C1 [Bohmelt, Tobias; Ward, Hugh] Univ Essex, Dept Govt, Colchester, Essex, England. [Bohmelt, Tobias; Boker, Marit] Swiss Fed Inst Technol, Ctr Comparat & Int Studies, Zurich, Switzerland. [Bohmelt, Tobias; Boker, Marit] Swiss Fed Inst Technol, Inst Environm Decis, Zurich, Switzerland. [Boker, Marit] Keele Univ, SPIRE, Keele, Staffs, England. RP Ward, H (reprint author), Univ Essex, Dept Govt, Colchester, Essex, England. EM hugh@essex.ac.uk OI Bohmelt, Tobias/0000-0002-7661-8670 CR Aasen M, 2013, ENVIRON VALUE, V22, P461, DOI 10.3197/096327113X13690717320702 Achterberg W., 1996, DEMOCRACY GREEN POLI, P170 ARIASMALDONADO M, 2000, ENVIRON POLIT, V9, P43, DOI DOI 10.1080/09644010008414550 Ayres I., 1997, RESPONSIVE REGULATIO Baber W. F., 2005, DELIBERATIVE ENV POL Baettig MB, 2008, ENVIRON SCI POLICY, V11, P478, DOI 10.1016/j.envsci.2008.04.003 Baettig MB, 2007, GEOPHYS RES LETT, V34, DOI 10.1029/2006GL028159 Battig MB, 2009, INT ORGAN, V63, P281, DOI 10.1017/S0020818309090092 Barber B., 1984, STRONG DEMOCRACY PAR Barry J., 1999, RETHINKING GREEN POL Benhabib S., 1996, DEMOCRACY DIFFERENCE, P67 Bernauer T, 2013, GLOBAL ENVIRON POLIT, V13, P88, DOI 10.1162/GLEP_a_00155 Bernauer T, 2013, ENVIRON SCI POLICY, V25, P196, DOI 10.1016/j.envsci.2012.09.007 Bernauer T, 2010, BRIT J POLIT SCI, V40, P509, DOI 10.1017/S0007123410000098 Betsill MM, 2008, NGO DIPLOMACY: THE INFLUENCE OF NONGOVERNMENTAL ORGANIZATIONS IN INTERNATIONAL ENVIRONMENTAL NEGOTIATIONS, P43 Betsill MM, 2006, PALGRAVE ADV, P172 Blokland H, 2011, PLURALISM, DEMOCRACY AND POLITICAL KNOWLEDGE: ROBERT A. DAHL AND HIS CRITICS ON MODERN POLITICS, P1 Bohmelt T, 2013, CLIM POLICY, V13, P698, DOI 10.1080/14693062.2013.788870 Bohmelt T, 2013, INT ENVIRON AGREEM-P, V13, P127, DOI 10.1007/s10784-012-9180-3 Bohman J, 1998, J POLIT PHILOS, V6, P400, DOI 10.1111/1467-9760.00061 Bohman J., 1997, DELIBERATIVE DEMOCRA Cao X, 2015, INT STUD QUART, V59, P264, DOI 10.1111/isqu.12163 CHAYES A, 1993, INT ORGAN, V47, P175, DOI 10.1017/S0020818300027910 Coenen Frans, 1998, PARTICIPATION QUALIT Cohen J., 1989, GOOD POLITY, P17 CONGLETON RD, 1992, REV ECON STAT, V74, P412, DOI 10.2307/2109485 Coppedge M, 2008, J POLIT, V70, P632, DOI 10.1017/S0022381608080663 Dahl R., 1987, DEMOCRACY ITS CRITIC Dahl R. A., 1961, WHO GOVERNS DEMOCRAC Dahl Robert, 1956, PREFACE DEMOCRATIC T Dahl Robert A, 1971, POLYARCHY PARTICIPAT Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015 Dobson A., 1996, DEMOCRACY GREEN POLI, P132 Downs GW, 2002, J LEGAL STUD, V31, pS95, DOI 10.1086/340405 DRY-ZEK J. S., 1990, DISCURSIVE DEMOCRACY Dryzek J, 2000, DELIBERATIVE DEMOCRA Dryzek J., 2010, FDN FRONTIERS DELIBE Dryzek J., 2009, THEORIES DEMOCRATIC Dryzek J. S., 1996, DEMOCRACY ENV PROBLE, P108 Dryzek JS, 2011, ECOL ECON, V70, P1865, DOI 10.1016/j.ecolecon.2011.01.021 Dryzek JS, 2009, SCI TECHNOL HUM VAL, V34, P263, DOI 10.1177/0162243907310297 Edelman M., 1964, SYMBOLIC USES POLITI Elster J., 1998, DELIBERATIVE DEMOCRA Fiorino DJ, 2011, POLICY SCI, V44, P367, DOI 10.1007/s11077-011-9140-8 Frankel JA, 2005, REV ECON STAT, V87, P85, DOI 10.1162/0034653053327577 Fredriksson P., 2005, POLITICAL I INTEREST Fredriksson PG, 2007, PUBLIC CHOICE, V133, P231, DOI 10.1007/s11127-007-9187-4 Fredriksson PG, 2005, J ENVIRON ECON MANAG, V49, P343, DOI 10.1016/j.jeem.2004.04.004 Fredriksson PG, 2000, PUBLIC CHOICE, V104, P345, DOI 10.1023/A:1005129300402 Fung A, 2003, J POLIT PHILOS, V11, P338, DOI 10.1111/1467-9760.00181 Fung A, 2001, POLIT SOC, V29, P5, DOI 10.1177/0032329201029001002 Gleditsch KS, 2002, J CONFLICT RESOLUT, V46, P712, DOI 10.1177/002200202236171 Goodin R. E., 2008, INNOVATING DEMOCRACY Goodin R.E., 1992, GREEN POLITICAL THEO Goodin RE, 1996, POLIT STUD-LONDON, V44, P835, DOI 10.1111/j.1467-9248.1996.tb00337.x Goodin RE, 2006, POLIT SOC, V34, P219, DOI 10.1177/0032329206288152 Gronlund K, 2010, EUR POLIT SCI REV, V2, P95, DOI 10.1017/S1755773909990245 GROSSMAN GM, 1995, Q J ECON, V110, P353, DOI 10.2307/2118443 Habermas J., 1996, FACTS NORMS CONTRIBU HARDIN G, 1968, SCIENCE, V162, P1243 Held D., 1996, MODELS DEMOCRACY Hendriks CM, 2006, POLIT STUD-LONDON, V54, P486, DOI 10.1111/j.1467-9248.2006.00612.x Hendrix CS, 2010, J PEACE RES, V47, P273, DOI 10.1177/0022343310361838 Henisz WJ, 2002, IND CORP CHANGE, V11, P355, DOI 10.1093/icc/11.2.355 Huber J, 2008, GLOBAL ENVIRON CHANG, V18, P360, DOI 10.1016/j.gloenvcha.2008.03.004 Humphrey M., 2007, ECOLOGICAL POLITICS Jordan G, 1996, POLIT STUD-LONDON, V44, P668, DOI 10.1111/j.1467-9248.1996.tb01748.x Kneuer M, 2012, DEMOCRATIZATION, V19, P865, DOI 10.1080/13510347.2012.709686 Lachapelle E, 2013, CLIM POLICY, V13, P547, DOI 10.1080/14693062.2013.811333 Li Q, 2006, INT STUD QUART, V50, P935, DOI 10.1111/j.1468-2478.2006.00432.x Lovbrand E, 2010, ENVIRONMENTAL POLITICS AND DELIBERATIVE DEMOCRACY: EXAMINING THE PROMISE OF NEW MODES OF GOVERNANCE, P47 Mansbridge J, 2012, THEOR INST DES, P1 Marshall M. G., 2012, POLITY 4 PROJECT POL Mathews F., 1995, ENVIRON POLIT, V4, P66, DOI DOI 10.1080/09644019508414229 Meadowcroft J., 2004, ENV GOVERNANCE RECON, P183 Mesquita BB, 2003, LOGIC OF POLITICAL SURVIVAL, P1 Midlarsky MI, 1998, J PEACE RES, V35, P341, DOI 10.1177/0022343398035003005 Mouffe C, 2000, DEMOCRATIC PARADOX Neumayer E, 2002, J PEACE RES, V39, P139, DOI 10.1177/0022343302039002001 Niemeyer S, 2004, ENVIRON POLIT, V13, P347, DOI 10.1080/0946601042000209612 Niemeyer S, 2011, POLIT SOC, V39, P103, DOI 10.1177/0032329210395000 Olson M., 1965, LOGIC COLLECTIVE ACT Ophuls William, 1977, ECOLOGY POLITICS SCA Parkinson J, 2012, THEOR INST DES, P1, DOI 10.1017/CBO9781139178914 Parkinson J., 2006, DELIBERATING REAL WO Pateman Carole, 1970, PARTICIPATION DEMOCR Pevehouse J, 2004, CONFLICT MANAG PEACE, V21, P101, DOI 10.1080/07388940490463933 Pretty J, 2001, WORLD DEV, V29, P209, DOI 10.1016/S0305-750X(00)00098-X Roberts J. Timmons, 2004, GLOBAL ENVIRON POLIT, V4, P22, DOI DOI 10.1162/1526380041748029 Robyn Eckersley, 2000, DEMOCRATIC INNOVATIO, P117 Rogelj J, 2010, NATURE, V464, P1126, DOI 10.1038/4641126a Rootes C, 2013, ENVIRON POLIT, V22, P701, DOI 10.1080/09644016.2013.830038 Rosenberg SW, 2007, DELIBERATION, PARTICIPATION AND DEMOCRACY: CAN THE PEOPLE GOVERN?, P1 Sanders D, 2012, BRIT J POLIT SCI, V42, P617, DOI 10.1017/S0007123411000494 Sanders LM, 1997, POLIT THEORY, V25, P347, DOI 10.1177/0090591797025003002 Schumpeter J.A., 1954, CAPITALISM SOCIALISM SELDEN TM, 1994, J ENVIRON ECON MANAG, V27, P147, DOI 10.1006/jeem.1994.1031 Shearman D. J., 2007, CLIMATE CHANGE CHALL Smith Graham, 2001, ENVIRON POLIT, V10, P72, DOI DOI 10.1080/714000562 Smith Graham, 2003, DELIBERATIVE DEMOCRA Spilker G, 2012, BRIT J POLIT SCI, V42, P345, DOI 10.1017/S0007123411000329 Stevenson H, 2014, DEMOCRATIZING GLOBAL CLIMATE GOVERNANCE, P1 Stevenson H, 2012, ENVIRON POLIT, V21, P189, DOI 10.1080/09644016.2012.651898 Torgerson Douglas, 1999, PROMISE GREEN POLITI Ward H, 2006, J PEACE RES, V43, P149, DOI 10.1177/0022343306061545 Ward H, 2003, POLIT STUD-LONDON, V51, P282, DOI 10.1111/1467-9248.00424 Ward H, 2008, ENVIRON POLIT, V17, P386, DOI 10.1080/09644010802055626 Young I. M., 2000, INCLUSION DEMOCRACY Zwart I, 2003, ENVIRON POLIT, V12, P23, DOI 10.1080/09644010412331308174 NR 109 TC 5 Z9 5 U1 1 U2 9 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 1351-0347 EI 1743-890X J9 DEMOCRATIZATION JI Democratization PD DEC PY 2016 VL 23 IS 7 BP 1272 EP 1291 DI 10.1080/13510347.2015.1094059 PG 20 WC Political Science SC Government & Law GA DZ0MW UT WOS:000385535200010 DA 2019-04-09 ER PT J AU Zheng, J Egger, C Lienert, J AF Zheng, Jun Egger, Christoph Lienert, Judit TI A scenario-based MCDA framework for wastewater infrastructure planning under uncertainty SO JOURNAL OF ENVIRONMENTAL MANAGEMENT LA English DT Article DE Multi-criteria decision analysis; Scenario planning; Preference elicitation; Uncertainty; Sensitivity analysis ID MULTICRITERIA DECISION-ANALYSIS; MULTIATTRIBUTE UTILITY-THEORY; SUSTAINABILITY ASSESSMENT; TREATMENT TECHNOLOGIES; SOURCE SEPARATION; CLIMATE-CHANGE; MANAGEMENT; SUPPORT; PROMETHEE; DESIGN AB Wastewater infrastructure management is increasingly important because of urbanization, environmental pollutants, aging infrastructures, and climate change. We propose a scenario-based multi-criteria decision analysis (MCDA) framework to compare different infrastructure alternatives in terms of their sustainability. These range from the current centralized system to semi- and fully decentralized options. Various sources of uncertainty are considered, including external socio-economic uncertainty captured by future scenarios, uncertainty in predicting outcomes of alternatives, and incomplete preferences of stakeholders. Stochastic Multi-criteria Acceptability Analysis (SMAA) with Monte Carlo simulation is performed, and rank acceptability indices help identify robust alternatives. We propose step-wise local sensitivity analysis, which is useful for practitioners to effectively elicit preferences and identify major sources of uncertainty. The approach is demonstrated in a Swiss case study where ten stakeholders are involved throughout. Their preferences are quantitatively elicited by combining an online questionnaire with face-to-face interviews. The trade-off questions reveal a high concern about environmental and an unexpectedly low importance of economic criteria. This results in a surprisingly good ranking of high-tech decentralized wastewater alternatives using urine source separation for most stakeholders in all scenarios. Combining scenario planning and MCDA proves useful, as the performance of wastewater infrastructure systems is indeed sensitive to socio-economic boundary conditions and the other sources of uncertainty. The proposed sensitivity analysis suggests that a simplified elicitation procedure is sufficient in many cases. Elicitation of more information such as detailed marginal value functions should only follow if the sensitivity analysis finds this necessary. Moreover, the uncertainty of rankings can be considerably reduced by better predictions of the outcomes of alternatives. Although the results are case based, the proposed decision framework is generalizable to other decision contexts. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Zheng, Jun; Egger, Christoph; Lienert, Judit] Eawag, Swiss Fed Inst Aquat Sci & Technol, POB 611, CH-8600 Dubendorf, Switzerland. RP Zheng, J (reprint author), Eawag, Swiss Fed Inst Aquat Sci & Technol, POB 611, CH-8600 Dubendorf, Switzerland. EM zhengjun516@hotmail.com; christoph.egger@eawag.ch; judit.lienert@eawag.ch RI Lienert, Judit/B-1138-2013 OI Lienert, Judit/0000-0003-1925-3895 FU National Research Program 'Sustainable Water Management' by the Swiss National Science Foundation [NRP 61, 406140_125901/1] FX This work resulted from National Research Program 'Sustainable Water Management' (NRP 61; Project No. 406140_125901/1) was supported by the Swiss National Science Foundation. We further thank Jonas Maria Eppler, Cristina Fritzsche, Mark Honti, Max Maurer, Peter Reichert, Lisa Scholten, Nele Schuwirth, and Anja Zorn for their valuable contributions. We especially thank the stakeholders from the case study for their participation. CR Ashley R, 2008, J ENVIRON ENG-ASCE, V134, P200, DOI 10.1061/(ASCE)0733-9372(2008)134:3(200) AWEL, 2006, ZUST FLIESSG EINZ GL Behzadian M, 2010, EUR J OPER RES, V200, P198, DOI 10.1016/j.ejor.2009.01.021 Beinat E., 1997, VALUE FUNCTIONS ENV Belton V, 2002, MULTIPLE CRITERIA DE Bernard Roy, 1993, AIDE MULTICRITERE DE BRANS JP, 1986, EUR J OPER RES, V24, P228, DOI 10.1016/0377-2217(86)90044-5 Cardoso MA, 2012, WATER SCI TECHNOL, V66, P2702, DOI 10.2166/wst.2012.509 Chung ES, 2009, J ENVIRON MANAGE, V90, P1502, DOI 10.1016/j.jenvman.2008.10.008 Cinelli M, 2014, ECOL INDIC, V46, P138, DOI 10.1016/j.ecolind.2014.06.011 Cobb C W, 1928, AM ECON REV, V18, P139, DOI DOI 10.2307/1811556 Dominguez D, 2011, WATER POLICY, V13, P299, DOI 10.2166/wp.2010.109 Dyer JS, 2005, INT SER OPER RES MAN, V78, P265, DOI 10.1007/0-387-23081-5_7 DYER JS, 1990, MANAGE SCI, V36, P249, DOI 10.1287/mnsc.36.3.249 EEA, 2012, EUR WAT CURR STAT FU Egger C, 2015, WATER RES, V73, P78, DOI 10.1016/j.watres.2014.12.050 Egger C, 2013, WATER RES, V47, P6762, DOI 10.1016/j.watres.2013.09.010 Eisenfuhr F, 2010, RATIONAL DECISION MAKING, P1, DOI 10.1007/978-3-642-02851-9 Figueira JR, 2013, J MULTI-CRITERIA DEC, V20, P61, DOI 10.1002/mcda.1482 Goodwin P, 2001, J MANAGE STUD, V38, P1, DOI 10.1111/1467-6486.00225 Greco S, 2001, EUR J OPER RES, V129, P1, DOI 10.1016/S0377-2217(00)00167-3 Guest JS, 2009, ENVIRON SCI TECHNOL, V43, P6126, DOI 10.1021/es9010515 Hajkowicz S, 2007, WATER RESOUR MANAG, V21, P1553, DOI 10.1007/s11269-006-9112-5 HOWARD RA, 1988, MANAGE SCI, V34, P679, DOI 10.1287/mnsc.34.6.679 Hurley L, 2008, P I CIVIL ENG-ENG SU, V161, P23, DOI 10.1680/ensu.2008.161.1.23 Kaiser FG, 2000, J APPL SOC PSYCHOL, V30, P952, DOI 10.1111/j.1559-1816.2000.tb02505.x Karvetski CW, 2011, IEEE T SYST MAN CY A, V41, P63, DOI 10.1109/TSMCA.2010.2055154 Keeney R. L., 1976, DECISIONS MULTIPLE O KEENEY RL, 1977, WATER RESOUR RES, V13, P705, DOI 10.1029/WR013i004p00705 Keeney RL, 1996, EUR J OPER RES, V92, P537, DOI 10.1016/0377-2217(96)00004-5 Kendall MG, 1938, BIOMETRIKA, V30, P81, DOI 10.1093/biomet/30.1-2.81 Kiker GA, 2005, INTEGR ENVIRON ASSES, V1, P95, DOI 10.1897/IEAM_2004a-015.1 Kim Y, 2013, RESOUR CONSERV RECY, V73, P23, DOI 10.1016/j.resconrec.2012.12.009 Kjell K., 2014, IPSOLVEAPI R INTERFA Lahdelma R, 2001, OPER RES, V49, P444, DOI 10.1287/opre.49.3.444.11220 Lahdelma R, 2012, OR SPECTRUM, V34, P785, DOI 10.1007/s00291-011-0244-5 Langhans SD, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0150695 Langhans SD, 2014, ECOL INDIC, V45, P494, DOI 10.1016/j.ecolind.2014.05.014 Larsen TA, 2013, SOURCE SEPARATION AND DECENTRALIZATION FOR WASTEWATER MANAGEMENT, P1 Larsen TA, 2016, SCIENCE, V352, P928, DOI 10.1126/science.aad8641 Larsen TA, 2009, ENVIRON SCI TECHNOL, V43, P6121, DOI 10.1021/es803001r Lienert J, 2016, EUR J OPER RES, V253, P746, DOI 10.1016/j.ejor.2016.03.010 Lienert J, 2015, EURO J DECIS PROCESS, V3, P107, DOI 10.1007/s40070-014-0030-0 Lienert J, 2013, J ENVIRON MANAGE, V125, P134, DOI 10.1016/j.jenvman.2013.03.052 Lienert J, 2011, ENVIRON SCI TECHNOL, V45, P3848, DOI 10.1021/es1031294 Lienert J, 2010, ENVIRON SCI TECHNOL, V44, P556, DOI 10.1021/es9028765 Logar I, 2014, ENVIRON SCI TECHNOL, V48, P12500, DOI 10.1021/es502338j Macharis C, 2004, EUR J OPER RES, V153, P307, DOI 10.1016/S0377-2217(03)00153-X Makropoulos CK, 2010, WATER RESOUR MANAG, V24, P2795, DOI 10.1007/s11269-010-9580-5 Maurer M, 2005, WA SCI TECHNOL, V5, P145 Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915 Molinos-Senante M, 2014, SCI TOTAL ENVIRON, V497, P607, DOI 10.1016/j.scitotenv.2014.08.026 Muga HE, 2008, J ENVIRON MANAGE, V88, P437, DOI 10.1016/j.jenvman.2007.03.008 Mustajoki J, 2005, DECISION SCI, V36, P317, DOI 10.1111/j.1540-5414.2005.00075.x Poyhonen M, 2001, EUR J OPER RES, V134, P216, DOI 10.1016/S0377-2217(00)00255-1 R Core Team, 2014, R LANG ENV STAT COMP Raju KS, 2007, WATER RESOUR MANAG, V21, P717, DOI 10.1007/s11269-006-9060-0 Ram C, 2013, TECHNOL FORECAST SOC, V80, P657, DOI 10.1016/j.techfore.2012.09.019 Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014 Reichert P, 2015, J ENVIRON MANAGE, V154, P316, DOI 10.1016/j.jenvman.2015.01.053 Reichert P, 2013, ENVIRON MODELL SOFTW, V46, P283, DOI 10.1016/j.envsoft.2013.01.017 Reynolds JH, 2003, J CHART INST WATER E, V17, P34 Rowley HV, 2012, J ENVIRON MANAGE, V111, P24, DOI 10.1016/j.jenvman.2012.05.004 Saaty T. L, 1980, ANAL HIERARCHICAL PR Saegrov S., 2005, COMPUTER AIDED REHAB Schiller G., 2015, GOVERNING THE NEXUS, P131 Scholten L, 2015, EUR J OPER RES, V242, P243, DOI 10.1016/j.ejor.2014.09.044 Schuwirth N, 2012, EUR J OPER RES, V220, P472, DOI 10.1016/j.ejor.2012.01.055 Schuwirth N., 2012, INT C ENV MOD SOFTW Smith JE, 2004, MANAGE SCI, V50, P561, DOI 10.1287/mnsc.1040.0243 Stewart TJ, 2013, OMEGA-INT J MANAGE S, V41, P679, DOI 10.1016/j.omega.2012.09.003 ten Veldhuis JAE, 2010, WATER RES, V44, P2910, DOI 10.1016/j.watres.2010.02.009 Tervonen T, 2007, EUR J OPER RES, V178, P500, DOI 10.1016/j.ejor.2005.12.037 Ugarelli R, 2010, J INFRASTRUCT SYST, V16, P112, DOI 10.1061/(ASCE)IS.1943-555X.0000011 Ulengin F, 2001, EUR J OPER RES, V134, P179, DOI 10.1016/S0377-2217(00)00247-2 Weyrauch P, 2010, WATER RES, V44, P4451, DOI 10.1016/j.watres.2010.06.011 Willems P, 2012, IMPACTS OF CLIMATE CHANGE ON RAINFALL EXTREMES AND URBAN DRAINAGE SYSTEMS, P1 Yang JS, 2012, HYDROL EARTH SYST SC, V16, P801, DOI 10.5194/hess-16-801-2012 NR 78 TC 10 Z9 10 U1 0 U2 29 PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD PI LONDON PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND SN 0301-4797 EI 1095-8630 J9 J ENVIRON MANAGE JI J. Environ. Manage. PD DEC 1 PY 2016 VL 183 BP 895 EP 908 DI 10.1016/j.jenvman.2016.09.027 PN 3 PG 14 WC Environmental Sciences SC Environmental Sciences & Ecology GA DZ5KC UT WOS:000385900000049 PM 27666649 DA 2019-04-09 ER PT J AU Xiong, X Guardone, L Cornax, MJ Tinacci, L Guidi, A Gianfaldoni, D Armani, A AF Xiong, Xiong Guardone, Lisa Jose Cornax, Maria Tinacci, Lara Guidi, Alessandra Gianfaldoni, Daniela Armani, Andrea TI DNA barcoding reveals substitution of Sablefish (Anoplopoma fimbria) with Patagonian and Antarctic Toothfish (Dissostichus eleginoides and Dissostichus mawsoni) in online market in China: How mislabeling opens door to IUU fishing SO FOOD CONTROL LA English DT Article DE Sablefish; Anoplopoma fimbria; Toothfish; Dissostichus spp. Chinese E-commerce; Seafood frauds; DNA barcoding; Species identification; Illegal Unreported and Unregulated (IUU) ID GLOBAL TRADE; SEAFOOD; PRODUCTS; SUSTAINABILITY; SOLD; MISREPRESENTATION; AUTHENTICATION; IDENTIFICATION; TRACEABILITY; JELLYFISH AB China's rapid economic development has determined profound changes in seafood consumption patterns, and nowadays besides the traditional luxury seafood, high-quality marine fish are consumed. Among these is Anoplopoma fimbria (Sablefish), a highly priced species on the Chinese market. A recent molecular survey on products sold online in China found that all the analyzed products sold as Yin Xue, used to indicate A. fimbria, were instead Dissostichus spp., a genus of fish extremely vulnerable to overfishing (Xiong et al., 2016). Considering this and the lack of a standardized naming system for seafood species in China, an initial search was conducted to identify all the possible Chinese names indicating A. fimbria. The aim of the present study was to assess the challenges of the online market with regards to frauds for fish species substitution. DNA barcoding was employed to verify the identity of 42 products sold on e-commerce platforms as Sablefish. Moreover, the information reported on the web page and on the label was analyzed according to the Chinese regulation in force. All the PCR products gave readable sequences. By using the IDs analysis on BOLD and the BLAST analysis on GenBank all the samples were unambiguously identified at the species level. Of the 42 products sold as Sablefish, only 6 (143%) were molecularly identified as this species, while 32 (76.2%) were identified as Dissostichus eleginoides (Patagonian Toothfish) and 4 (9.5%) as Dissostichus mawsoni (Antarctic Toothfish), highlighting an alarming overall misrepresentation rate of 85.7% and implications for the management of these species' fisheries. The combined analysis of all the information of the webpages and the labels allowed us to hypothesize unintentional and intentional mislabeling. Our findings suggest the possible existence of a trade pattern enabling IUU fishing operators to launder illegal catches of Toothfish through mislabeling. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Xiong, Xiong; Guardone, Lisa; Tinacci, Lara; Guidi, Alessandra; Gianfaldoni, Daniela; Armani, Andrea] Univ Pisa, Dept Vet Sci, FishLab, Via Piagge 2, I-56124 Pisa, Italy. [Jose Cornax, Maria] Oceana, Gran Via 59,9, Madrid 28013, Spain. RP Armani, A (reprint author), Univ Pisa, Dept Vet Sci, FishLab, Via Piagge 2, I-56124 Pisa, Italy. EM andrea.armani@unipi.it OI Armani, Andrea/0000-0002-9614-2032 CR [Anonymous], 2011, 7718 GB CHIN NAT STA Armani A, 2015, FOOD CONTROL, V55, P206, DOI 10.1016/j.foodcont.2015.02.030 Armani A., 2014, FOOD ANAL METHOD, V7, P946 Armani A, 2015, FOOD CONTROL, V50, P589, DOI 10.1016/j.foodcont.2014.09.025 Armani A, 2013, FOOD RES INT, V54, P1383, DOI 10.1016/j.foodres.2013.10.003 Armani A, 2012, FOOD CONTROL, V26, P247, DOI 10.1016/j.foodcont.2012.01.059 Bellmann C, 2016, MAR POLICY, V69, P181, DOI 10.1016/j.marpol.2015.12.019 Cawthorn DM, 2015, FOOD CHEM, V185, P165, DOI 10.1016/j.foodchem.2015.03.113 Cawthorn DM, 2012, FOOD RES INT, V46, P30, DOI 10.1016/j.foodres.2011.11.011 Centre for Food Safety of Hong Kong, 2007, GUID ID LAB OILF COD China Internet Network Information Center, 2014, CHIN INT NETW DEV ST Clarke S, 2010, BEST PRACTICE STUDY Curran K, 2009, CHANDOS INTERNET SER, P261 D'Amico P, 2016, MAR POLICY, V71, P147, DOI 10.1016/j.marpol.2016.05.026 D'Amico P, 2014, FOOD CONTROL, V35, P7, DOI 10.1016/j.foodcont.2013.06.029 Fabinyi M, 2016, MAR POLICY, V63, P184, DOI 10.1016/j.marpol.2015.03.024 Fabinyi M, 2014, CONSERV SOC, V12, P218, DOI 10.4103/0972-4923.138423 Grilly E, 2015, MAR POLICY, V60, P186, DOI 10.1016/j.marpol.2015.06.006 Hall T.A., 1999, NUCL ACIDS S SER, V41, P95, DOI DOI 10.1021/BK-1999-0734.CH008 Handy SM, 2011, J AOAC INT, V94, P201 Helyar SJ, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098691 Khaksar R, 2015, FOOD CONTROL, V56, P71, DOI 10.1016/j.foodcont.2015.03.007 Lack M., 2008, CONTINUING CCAMLRS F Leroy A, 2016, MAR POLICY, V64, P82, DOI 10.1016/j.marpol.2015.10.013 Lindkvist KB, 2008, MAR POLICY, V32, P432, DOI 10.1016/j.marpol.2007.08.009 Marko PB, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0104140 Marko PB, 2011, CURR BIOL, V21, pR621, DOI 10.1016/j.cub.2011.07.006 Miller D, 2012, FISH FISH, V13, P345, DOI 10.1111/j.1467-2979.2011.00426.x Noble J, 2015, ALIBABA JD ONLINE TA Norse EA, 2012, MAR POLICY, V36, P307, DOI 10.1016/j.marpol.2011.06.008 Osterblom H., 2015, SOLUTIONS, V4, P72 Pala C., 2015, NZ GEOGRAPHIC, V135, P66 Peavey S., 2013, SINGLES DAY CHINAS G Pramod G, 2014, MAR POLICY, V48, P102, DOI 10.1016/j.marpol.2014.03.019 Rahimnia F, 2013, INFORM MANAGE-AMSTER, V50, P240, DOI 10.1016/j.im.2013.04.003 Roberts J, 2011, J FISH BIOL, V79, P138, DOI 10.1111/j.1095-8649.2011.03005.x Shen Qing, 2014, Wei Sheng Yan Jiu, V43, P944 Sonu S.C., 2014, SUPPLY MARKET SABLEF Sovacool BK, 2008, J ENVIRON LAW, V20, P15, DOI 10.1093/jel/eqm024 Stewart I. J., 2011, STATUS US SABLEFISH Stiles M., 2011, BAIT SWITCH SEAFOOD Turban E., 2015, OVERVIEW ELECT COMME, P3 Wen J, 2015, FOOD CONTROL, V55, P185, DOI 10.1016/j.foodcont.2015.02.033 Wen J, 2011, FOOD CONTROL, V22, P72, DOI 10.1016/j.foodcont.2010.06.010 Xiao B, 2011, MIS QUART, V35, P169 Xin-guang L. I., 2013, FOOD SCI, V34, P337 Xiong X, 2016, MAR POLICY, V68, P123, DOI 10.1016/j.marpol.2016.02.024 Xiong X, 2016, FOOD CONTROL, V60, P519, DOI 10.1016/j.foodcont.2015.08.028 Zhang JX, 2012, PLOS ONE, V7, DOI [10.1371/journal.pone.0030621, 10.1371/journal.pone.0039076] NR 49 TC 14 Z9 15 U1 4 U2 127 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0956-7135 EI 1873-7129 J9 FOOD CONTROL JI Food Control PD DEC PY 2016 VL 70 BP 380 EP 391 DI 10.1016/j.foodcont.2016.06.010 PG 12 WC Food Science & Technology SC Food Science & Technology GA DT5RI UT WOS:000381539900047 DA 2019-04-09 ER PT J AU Simeonova, V van der Valk, A AF Simeonova, Vanya van der Valk, Arnold TI Environmental policy integration: Towards a communicative approach in integrating nature conservation and urban planning in Bulgaria SO LAND USE POLICY LA English DT Article DE Urban planning; Nature conservation; Environmental policy integration; Communicative approach ID SUSTAINABLE DEVELOPMENT; ECOLOGICAL PRINCIPLES; LAND; BIODIVERSITY; MANAGEMENT; URBANIZATION; FRAMEWORK; CONSENSUS; MODEL; SCALE AB As urban areas continue to expand, the need to consider nature conservation objectives in planning is growing. Policy makers across Europe recognize that effective nature conservation requires an integrated approach to land use planning that includes relevant ecological and spatial knowledge. Although a number of such integrated approaches have been developed, many local authorities in Europe encounter important institutional barriers to this integration. This is particularly true for countries in Central and Eastern Europe (CEE) like Bulgaria. The post-socialist transformation in Bulgaria led to intensified urban growth and local authorities struggle to find a balance between environmental and socio-economic interests. Meanwhile, the Environmental Policy Integration 'principle' (EPI) has been gaining prominence in Europe, aiming to address the trade-offs between environmental and economic incentives. Research highlights that successful EPI depends on institutional processes within different economic sectors and across governmental scales. These processes have not yet been comprehensively studied in the CEE and in Bulgaria. This article assesses the EPI process in urban planning in Bulgaria and identifies the institutional approaches that may contribute best to EPI in urban planning. Using the example of the "Corner Land" project in the city of Burgas, we discuss the key challenges that the local authorities face in addressing nature conservation in land use plans. The findings indicate that EPI is to a high degree constrained by the lack of an efficient communicative process across fragmented organizational structures throughout the entire planning process. While a procedural approach to EPI appears to be prevalent it is concluded that a communicative approach is urgently needed if the sustainability of urban plans is to be safeguarded and negative impacts on nature prevented. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Simeonova, Vanya; van der Valk, Arnold] Wageningen Univ, Environm Sci Grp, Land Use Planning Chair, Wageningen, Netherlands. RP Simeonova, V (reprint author), Wageningen Univ & Res Ctr, Environm Sci Grp, POB 47, NL-6700 AA Wageningen, Netherlands. EM vanya.simeonova@wur.nl CR Alexander Ernest R., 1995, ORG ACT TOGETHER INT Anderson J, 2012, J ARCHIT PLAN RES, V29, P318 Atkinson SF, 2000, IMPACT ASSESS PROJ A, V18, P271 Beatley T, 2000, J AM PLANN ASSOC, V66, P5, DOI 10.1080/01944360008976080 Beatley Timothy, 1994, HABITAT CONSERVATION BEISSINGER SR, 1982, CONDOR, V84, P75, DOI 10.2307/1367825 Berkhout F., 2001, 72 SPRU U SUSS, V72 Beunen R., 2006, J ENVIRON PLANN MAN, V49, P605, DOI DOI 10.1080/09640560600747547 BISERKOV V., 2015, RED DATA BOOK REPUBL, V3 Booher DE, 2002, J PLAN EDUC RES, V21, P221, DOI 10.1177/0739456X0202100301 Border N., 2005, URBAN ENV PLANNING P, P245 Briassoulis H., 2004, 2004 BERL C GREEN PO Brinkerhoff DW, 2006, PUBLIC ADMIN DEVELOP, V26, P373, DOI 10.1002/pad.426 Campbell S, 1996, J AM PLANN ASSOC, V62, P296, DOI 10.1080/01944369608975696 Campbell S., 2003, READINGS PLANNING TH, P1 Collier U., 1994, ENERGY ENV EUROPEAN Commission of the European communities, 2011, CIT TOM CHALL VIS WA Coutard O., 2014, URBAN MEGATRENDS EUR Creswell J. W, 2007, QUALITATIVE INQUIRY Crist PJ, 2000, LANDSCAPE ECOL, V15, P47, DOI 10.1023/A:1008117427864 Dale VH, 2000, ECOL APPL, V10, P639 Daniels T, 2005, J PLAN LIT, V19, P316, DOI 10.1177/0885412204271379 De Boe Ph, 1999, STUDY PROGRAMME EURO De Roo G., 2007, FUZZY PLANNING ROLE, P131 DeLuca WV, 2008, BIOL CONSERV, V141, P2669, DOI 10.1016/j.biocon.2008.07.023 Dimitrov M., 2005, WATER BIRDS BOURGAS Eckerberg K., 2007, ENV POLICY INTEGRATI, P38 European Environmental Agency. (EEA), 2006, PROGR HALT LOSS BIOD European Environmental Agency. (EEAa), 2005, ENV POL INT EUR European Environmental Agency. (EEAb), 2005, N5 EEAB OFF OFF PUBL Fahrig L, 1997, J WILDLIFE MANAGE, V61, P603, DOI 10.2307/3802168 Forester M., 2000, DELIBERATIVE PRACTIT Geneletti D, 2007, ENVIRON IMPACT ASSES, V27, P408, DOI 10.1016/j.eiar.2007.02.005 Georgiev G., 2004, NATURE PARKS RESERVE Gibbs D, 2007, ENVIRON PLANN A, V39, P339, DOI 10.1068/a37399 Gramatikov M., 2007, BSPB CONSERVATION SE, V11 Hajer M., 2002, DELIBERATIVE POLICY Healey P., 2010, MAKING BETTER PLACES HEALEY P, 1997, COLLABORATIVE PLANNI Herodes M., 2007, 5 EPIGOV I INT EUR P Hertin J., 2003, J ENVIRON POL PLAN, V5, P39 Hirt S, 2009, 20 YEARS TRANSITION Hirt S., 2011, GREENING CITY URBAN Hirt S, 2007, URBAN GEOGR, V28, P755, DOI 10.2747/0272-3638.28.8.755 Hohn U, 2006, EUR PLAN STUD, V14, P291, DOI 10.1080/09654310500420750 Homeyer I, 2006, 12 EPIGOV EC I INT E Innes JE, 1996, J AM PLANN ASSOC, V62, P460, DOI 10.1080/01944369608975712 Innes JE, 2003, DELIBERATIVE POLICY, P35 Jablin F.M., 2001, NEW HDB ORG COMMUNIC Jacob K, 2008, INNOVATION IN ENVIRONMENTAL POLICY: INTEGRATING THE ENVIRONMENT FOR SUSTAINABILITY, P24 Jordan A., 2007, COORDINATION EUROPEA Jordan AJ, 2008, INNOVATION IN ENVIRONMENTAL POLICY: INTEGRATING THE ENVIRONMENT FOR SUSTAINABILITY, P1 Koontz M.T., 2004, ENVIRON IMPACT ASSES, V24, P473 Kopeva D., 2003, LAND REFORM, V3, P41 Lafferty WM, 2003, ENVIRON POLIT, V12, P1, DOI 10.1080/09644010412331308254 Lenschow A., 2002, ENV POLICY INTEGRATI Lofvenhaft K, 2002, LANDSCAPE URBAN PLAN, V58, P223, DOI 10.1016/S0169-2046(01)00223-7 Lotze HK, 2006, SCIENCE, V312, P1806, DOI 10.1126/science.1128035 Margerum RD, 2002, J PLAN EDUC RES, V21, P237, DOI 10.1177/0739456X0202100302 McElfish J., 2009, NATURE FRIENDLY LAND Mediapol, 2011, BURGAS 3 CITY COUNTR Michev T., 2004, BOURGAS WETLANDS PUB, V5 Michev T., 2003, MANAGEMENT PLAN ATAN Mickwitz P., 2006, ENV POLICY EVALUATIO Mickwitz P, 2007, EVALUATION, V13, P68, DOI DOI 10.1177/1356389007073682 Miller D., 2005, URBAN ENV PLANNING P Miller JR, 2002, CONSERV BIOL, V16, P330, DOI 10.1046/j.1523-1739.2002.00420.x Ministry of Environment and Waters-MOEW, 2007, OP PROGR ENV 2007 20 Ministry of Environment and Waters-MOEW, 2016, NAT 2000 NETW Ministry of Regional Development and Public Works-MRDPW, 2006, OP PROGR REG DEV 200 Ministry of Regional Development and Public Works-MRDPW, 2005, NAT STRAT REG DEV 20 Mintzberg H, 2003, STRATEGY PROCESS CON MINTZBERG HT, 1983, STRUCTURE FIVES DESI Municipality of Burgas, 2010, MAST PLAN BURG Municipality of Burgas, 2007, DEV PLAN MUN BURG 20 Municipality of Burgas, 2011, DET LAND US PLAN COR Nedovic-Budic Z, 2001, J AM PLANN ASSOC, V67, P38, DOI 10.1080/01944360108976354 OECD, 2001, POL ENH SUST DEV Opdam P, 2001, LANDSCAPE ECOL, V16, P767 Palomino D, 2006, LANDSCAPE URBAN PLAN, V77, P276, DOI 10.1016/j.landurbplan.2005.04.003 Persson A, 2004, ENV POLICY INTEGRATI Peyrache-Gadeau V, 2007, EUR PLAN STUD, V15, P945, DOI 10.1080/09654310701359369 Raemaekers J., 2000, INTRO PLANNING PRACT, P21 Regional Inspectorate for Environment and Waters (RIOSW), 2007, DEC EC ASS CORN LAND Rogers D.L., 1982, INTERORGANIZATIONAL Roseland M, 2000, PROG PLANN, V54, P73, DOI 10.1016/S0305-9006(00)00003-9 Rottenborn SC, 1999, BIOL CONSERV, V88, P289, DOI 10.1016/S0006-3207(98)00128-1 Sager T. O., 2013, REVIVING CRITICAL PL Sandstrom UG, 2006, LANDSCAPE URBAN PLAN, V75, P43, DOI 10.1016/j.landurbanplan.2004.11.016 Scholz M, 2012, J ENVIRON PLANN MAN, V55, P833, DOI 10.1080/09640568.2011.628828 Shandas V, 2008, J ENVIRON PLANN MAN, V51, P647, DOI 10.1080/09640560802211037 Simeonova V, 2010, EUR PLAN STUD, V18, P1411, DOI 10.1080/09654313.2010.492579 Simeonova V, 2009, J PLAN LIT, V23, P241, DOI 10.1177/0885412208327022 Stanilov K, 2007, GEOJOURNAL LIB, V92, P347 Stead D, 2009, PLAN THEORY PRACT, V10, P317, DOI 10.1080/14649350903229752 Stigt R., 2013, ENVIRON POLICY GOV, V23, P221 Sykora L, 2014, URBAN DECENTRALIZATI, P249 Termorshuizen JW, 2007, LANDSCAPE URBAN PLAN, V79, P374, DOI 10.1016/j.landurbplan.2006.04.005 Theobald DM, 2000, LANDSCAPE ECOL, V15, P35, DOI 10.1023/A:1008165311026 Theobald DM, 2002, CONSERV ECOL, V6 Thompson S., 1997, Journal of Environmental Planning and Management, V40, P157 UN-Habitat, 2012, STAT WORLDS CIT 2012 UNPF, 2007, STAT WORLD POP 2007 Vandenveer S.D., 2007, ENVIRON POLIT, V13, P3 Weick K.E., 2000, NEW HDB ORG COMMUNIC, P704 Wondolleck JM, 2000, MAKING COLLABORATION, P277 Zipperer WC, 2000, ECOL APPL, V10, P685, DOI 10.1890/1051-0761(2000)010[0685:TAOEPT]2.0.CO;2 Zlatanova R., 1999, MASTER PLAN BURGAS C Zonneveld W., 2012, RISE REGIONAL INTEGR Zonneveld W, 2007, J ENVIRON PLANN MAN, V50, P657, DOI 10.1080/09640560701475303 NR 110 TC 4 Z9 4 U1 1 U2 61 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD NOV 30 PY 2016 VL 57 BP 80 EP 93 DI 10.1016/j.landusepol.2016.05.017 PG 14 WC Environmental Studies SC Environmental Sciences & Ecology GA DU6RB UT WOS:000382341200008 DA 2019-04-09 ER PT J AU Plieninger, T Draux, H Fagerholm, N Bieling, C Burgi, M Kizos, T Kuemmerle, T Primdahl, J Verburg, PH AF Plieninger, Tobias Draux, Helene Fagerholm, Nora Bieling, Claudia Burgi, Matthias Kizos, Thanasis Kuemmerle, Tobias Primdahl, Jorgen Verburg, Peter H. TI The driving forces of landscape change in Europe: A systematic review of the evidence SO LAND USE POLICY LA English DT Article DE Urbanization; Agricultural intensification; Land abandonment; Proximate and underlying drivers; Land use and land cover change; Europe ID LAND-USE CHANGE; GLOBAL ENVIRONMENTAL-CHANGE; ECOSYSTEM SERVICES; FARMLAND ABANDONMENT; ECOLOGY; CONSEQUENCES; CONSERVATION; AGRICULTURE; CHALLENGES; MANAGEMENT AB Over the past decades, landscapes worldwide have experienced changes (e.g., urbanization, agricultural intensification, expansion of renewable energy uses) at magnitudes that put their sustainability at risk. The understanding of the drivers of these landscape changes remains challenging, partly because landscape research is spread across many domains and disciplines. We here provide a systematic synthesis of 144 studies that identify the proximate and underlying drivers of landscape change across Europe. First, we categorize how driving forces have been addressed and find that most studies consider medium-term time scales and local spatial scales. Most studies assessed only one case study area, one spatial scale, and less than four points in time. Second, we analyze geographical coverage of studies and reveal that countries with a non-European Union/European Free Trade Association membership; low Gross Domestic Product; boreal, steppic, and arctic landscapes; as well as forestland systems are underrepresented in the literature. Third, our review shows that land abandonment/extensification is the most prominent (62% of cases) among multiple proximate drivers of landscape change. Fourthly, we find that distinct combinations of mainly political/institutional, cultural, and natural/spatial underlying drivers are determining landscape change, rather than single key drivers. Our systematic review indicates knowledge gaps that can be filled by: (a) expanding the scope of studies to include underrepresented landscapes; (b) clarifying the identification and role of actors in landscape change; (c) deploying more robust tools and methods to quantitatively assess the causalities of landscape change; (d) setting up long-term studies that go beyond mapping land-cover change only; (e) strengthening cross-site and cross-country comparisons of landscape drivers; (f) designing multi-scale studies that consider teleconnections; (g) considering subtle and novel processes of landscape change. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Plieninger, Tobias; Draux, Helene; Fagerholm, Nora; Primdahl, Jorgen] Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark. [Fagerholm, Nora] Univ Hohenheim, Chair Societal Transit & Agr, Schloss Museumsflugel Ost, D-70593 Stuttgart, Germany. [Bieling, Claudia] Univ Turku, Dept Geog & Geol, Turku 20014, Finland. [Burgi, Matthias] Swiss Fed Res Inst WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland. [Kizos, Thanasis] Univ Aegean, Dept Geog, Univ Hill, Mitilini 81100, Greece. [Kuemmerle, Tobias] Humboldt Univ, Dept Geog, Unter Linden 6, D-10099 Berlin, Germany. [Verburg, Peter H.] Vrije Univ Amsterdam, Inst Environm Studies IVM, De Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands. RP Plieninger, T (reprint author), Univ Copenhagen, Dept Geosci & Nat Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, Denmark. EM tobias.plieninger@ign.ku.dk; hedr@ign.ku.dk; ncf@ign.ku.dk; claudia.bieling@uni-hohenheim.de; matthias.buergi@wsl.ch; akizos@aegean.gr; tobias.kuemmerle@geo.hu-berlin.de; jpr@ign.ku.dk; peter.verburg@vu.nl RI Kuemmerle, Tobias/B-4340-2008; Verburg, Peter/A-8469-2010; Burgi, Matthias/C-8357-2009; Plieninger, Tobias/E-3861-2010; Fagerholm, Nora/B-4082-2018 OI Kuemmerle, Tobias/0000-0002-9775-142X; Verburg, Peter/0000-0002-6977-7104; Burgi, Matthias/0000-0001-9681-601X; Plieninger, Tobias/0000-0003-1478-2587; Fagerholm, Nora/0000-0001-5020-0746; Kizos, Thanasis`/0000-0002-1526-0919; Draux, Helene/0000-0001-8837-168X FU European Community [603447] FX We are grateful for the constructive feedback of two anonymous reviewers. The research leading to these results has received funding from the European Community's Seventh Framework Program under Grant Agreement No. 603447 (Project HERCULES). The funding source was not involved in study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the article for publication. This research contributes to the Program on Ecosystem Change and Society (www.pecs-science.org) and the Global Land Project (www.globallandproject.org). CR Abson DJ, 2014, ECOL ECON, V103, P29, DOI 10.1016/j.ecolecon.2014.04.012 Angelstam P, 2013, AMBIO, V42, P129, DOI 10.1007/s13280-012-0368-0 Antrop M, 2006, LANDSCAPE URBAN PLAN, V75, P187, DOI 10.1016/j.landurbplan.2005.02.014 Antrop M, 2004, LANDSCAPE URBAN PLAN, V67, P9, DOI 10.1016/S0169-2046(03)00026-4 Aronson J, 2011, LANDSCAPE ECOL, V26, P457, DOI 10.1007/s10980-011-9586-2 Barthel S, 2010, GLOBAL ENVIRON CHANG, V20, P255, DOI 10.1016/j.gloenvcha.2010.01.001 Bieling C, 2013, LAND USE POLICY, V35, P192, DOI 10.1016/j.landusepol.2013.05.012 Brandt J., 1999, LAND USE CHANGES THE, V24, P81 Burgi M, 2004, LANDSCAPE ECOL, V19, P857, DOI 10.1007/s10980-004-0245-8 Centre for Evidence-Based Conservation, 2010, GUID SYST REV ENV MA COHEN J, 1960, EDUC PSYCHOL MEAS, V20, P37, DOI 10.1177/001316446002000104 Conrad E, 2011, J ENVIRON MANAGE, V92, P2097, DOI 10.1016/j.jenvman.2011.04.003 Cramer VA, 2008, TRENDS ECOL EVOL, V23, P104, DOI 10.1016/j.tree.2007.10.005 Crumley C., 2012, RESILIENCE CULTURAL, P303, DOI DOI 10.1017/CBO9781139107778 Dejeant-Pons M, 2006, LANDSCAPE RES, V31, P363, DOI 10.1080/01426390601004343 Eakin H, 2014, STRUNGMANN FORUM REP, P141 EEA, 2012, BIOG REG EUR Ellis EC, 2015, ECOL MONOGR, V85, P287, DOI 10.1890/14-2274.1 Estel S, 2015, REMOTE SENS ENVIRON, V163, P312, DOI 10.1016/j.rse.2015.03.028 Everitt B. S., 2011, HIERARCHICAL CLUSTER, P71, DOI DOI 10.1002/9780470977811.CH4 Farina A, 2000, BIOSCIENCE, V50, P313, DOI 10.1641/0006-3568(2000)050[0313:TCLAAM]2.3.CO;2 Fischer J, 2011, FRONT ECOL ENVIRON, V9, P430, DOI 10.1890/11.WB.021 Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772 Fuchs R, 2015, APPL GEOGR, V59, P43, DOI 10.1016/j.apgeog.2015.02.013 Geist H J, 2001, LUCC REPORT SERIES Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2 Gillanders SN, 2008, PROG PHYS GEOG, V32, P503, DOI 10.1177/0309133308098363 Hersperger AM, 2010, ECOL SOC, V15 Hersperger AM, 2009, LAND USE POLICY, V26, P640, DOI 10.1016/j.landusepol.2008.08.015 Hochtl F, 2005, LANDSCAPE URBAN PLAN, V70, P85, DOI 10.1016/j.landurbplan.2003.10.006 Jepsen MR, 2015, LAND USE POLICY, V49, P53, DOI 10.1016/j.landusepol.2015.07.003 Jones M, 2007, NORSK GEOGR TIDSSKR, V61, P207, DOI 10.1080/00291950701709176 Kaufman L., 2008, FINDING GROUPS DATA, P280 Keys E, 2005, GLOBAL ENVIRON CHANG, V15, P320, DOI 10.1016/j.gloenvcha.2005.04.004 Kinzig A. P., 2012, RESILIENCE CULTURAL, P315 Klijn JA, 2004, WAG UR FRON, V4, P201 Levers C., 2016, REG ENV CHANGE Luginbuhl Y., 2006, LANDSCAPE INDIVIDUAL MacDonald D, 2000, J ENVIRON MANAGE, V59, P47, DOI 10.1006/jema.1999.0335 Magliocca NR, 2015, REG ENVIRON CHANGE, V15, P211, DOI 10.1007/s10113-014-0626-8 Mottet A, 2006, AGR ECOSYST ENVIRON, V114, P296, DOI 10.1016/j.agee.2005.11.017 Munroe DK, 2013, CURR OPIN ENV SUST, V5, P471, DOI 10.1016/j.cosust.2013.06.010 Navarro LM, 2012, ECOSYSTEMS, V15, P900, DOI 10.1007/s10021-012-9558-7 *OECD, 1999, ENV IND AGR CONC FRA, V1 Patru-Stupariu I, 2016, APPL GEOGR, V69, P87, DOI 10.1016/j.apgeog.2015.07.015 Pinto-Correia T, 2013, LANDSCAPE URBAN PLAN, V120, P248, DOI 10.1016/j.landurbplan.2013.07.005 Plieninger T., 2012, RESILIENCE CULTURAL, P3, DOI DOI 10.1017/CBO9781139107778 Plieninger T, 2015, ECOL SOC, V20, DOI 10.5751/ES-07443-200205 Plieninger T, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098355 Plieninger T, 2013, ECOL SOC, V18, DOI 10.5751/ES-05877-180420 Primdahl J, 2003, J ENVIRON MANAGE, V67, P129, DOI 10.1016/S0301-4797(02)00192-5 Primdahl J, 2013, LANDSCAPE RES, V38, P799, DOI 10.1080/01426397.2013.772959 Pullin AS, 2006, CONSERV BIOL, V20, P1647, DOI 10.1111/j.1523-1739.2006.00485.x Queiroz C, 2014, FRONT ECOL ENVIRON, V12, P288, DOI 10.1890/120348 Rindfuss RR, 2007, ANN ASSOC AM GEOGR, V97, P739, DOI 10.1111/j.1467-8306.2007.00580.x Robinson BE, 2014, GLOBAL ENVIRON CHANG, V29, P281, DOI 10.1016/j.gloenvcha.2013.05.012 Rudel TK, 2008, GLOBAL ENVIRON CHANG, V18, P18, DOI 10.1016/j.gloenvcha.2007.06.001 Sayer J, 2013, P NATL ACAD SCI USA, V110, P8349, DOI 10.1073/pnas.1210595110 Selman P. H., 2012, SUSTAINABLE LANDSCAP Serra P, 2008, APPL GEOGR, V28, P189, DOI 10.1016/j.apgeog.2008.02.001 Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777 Skalos J, 2012, ECOL ENG, V43, P60, DOI 10.1016/j.ecoleng.2011.07.001 Sluiter R, 2007, LANDSCAPE ECOL, V22, P559, DOI 10.1007/s10980-006-9049-3 Smith P, 2010, PHILOS T R SOC B, V365, P2941, DOI 10.1098/rstb.2010.0127 STANNERS D, 1995, EUROPES ENV DOBRIS A Turnerll BL, 2013, GLOBAL ENVIRON CHANG, V23, P395, DOI 10.1016/j.gloenvcha.2012.12.009 van Asselen S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0081292 van der Sluis T., 2015, LAND USE POLICY van Vliet J, 2016, AMBIO, V45, P15, DOI 10.1007/s13280-015-0699-8 van Vliet J, 2015, LANDSCAPE URBAN PLAN, V133, P24, DOI 10.1016/j.landurbplan.2014.09.001 van Vliet N, 2012, GLOBAL ENVIRON CHANG, V22, P418, DOI 10.1016/j.gloenvcha.2011.10.009 Verburg PH, 2010, LANDSCAPE ECOL, V25, P217, DOI 10.1007/s10980-009-9347-7 Walters BB, 2009, ANN ASSOC AM GEOGR, V99, P534, DOI 10.1080/00045600902931827 Wiggering H, 2006, ECOL INDIC, V6, P238, DOI 10.1016/j.ecolind.2005.08.014 Wu JG, 2013, LANDSCAPE ECOL, V28, P999, DOI 10.1007/s10980-013-9894-9 NR 75 TC 66 Z9 67 U1 23 U2 232 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD NOV 30 PY 2016 VL 57 BP 204 EP 214 DI 10.1016/j.landusepol.2016.04.040 PG 11 WC Environmental Studies SC Environmental Sciences & Ecology GA DU6RB UT WOS:000382341200018 HC Y HP N DA 2019-04-09 ER PT J AU Branca, G Cacchiarelli, L Maltsoglou, I Rincon, L Sorrentino, A Valle, S AF Branca, Giacomo Cacchiarelli, Luca Maltsoglou, Irini Rincon, Luis Sorrentino, Alessandro Valle, Stefano TI Profits versus jobs: Evaluating alternative biofuel value-chains in Tanzania SO LAND USE POLICY LA English DT Article DE Liquid biofuel; Smallholder; Contract farming; Production cost; Rapid assessment ID INTERNATIONAL BIOENERGY TRADE; GENERAL EQUILIBRIUM-ANALYSIS; LAND-USE CHANGE; FOOD SECURITY; SYSTEMS; AFRICA; SUSTAINABILITY; MOZAMBIQUE; INSIGHTS; SCHEMES AB Biomass production for bioenergy use may contribute to rural development by increasing household incomes, local employment and energy supply, especially in developing countries. This paper presents a value-chain approach to evaluating the profitability and competitiveness of producing biodiesel or ethanol. We apply a 'rapid appraisal' accounting framework to the case of Tanzania, which is a data scarce setting and therefore well-suited to the proposed approach. The framework also estimates the number of jobs created in the biofuel sector under different production arrangements and related demand for land resource. We evaluate the potential trade-offs between different scales of biofuel production (both the scale of feedstock production and biofuel processing). We find that only sunflower-biodiesel is profitable, especially if produced in large-scale estate farming systems. Estate farming is the best option for profits and competitiveness, even if domestic biofuel production is never competitive on the international market for energy. We also find that the number of jobs depends crucially on the involvement of smallholders. Establishing out-grower schemes (or similar arrangements), rather than estate farms, should be a key policy objective if biofuels production is going to improve rural economy. However social benefits may be gained at a cost of reduced international competitiveness and increased land exploitation. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Branca, Giacomo; Cacchiarelli, Luca; Sorrentino, Alessandro] Univ Tuscia, Dipartimento Econ & Impresa DEIM, Via Paradiso 47, I-01100 Viterbo, Italy. [Maltsoglou, Irini] Food & Agr Org United Nations FAO, Vle Terme Caracalla, I-00100 Rome, Italy. [Rincon, Luis] Univ Nacl Colombia, Cra 27 64-60, Manizales, Caldas, Colombia. [Valle, Stefano] Univ Tuscia, Dipartimento Innovaz Nei Sistemi Biol Agroaliment, Via SC De Lellis Snc, I-01100 Viterbo, Italy. RP Branca, G (reprint author), Univ Tuscia, Dipartimento Econ & Impresa DEIM, Via Paradiso 47, I-01100 Viterbo, Italy. EM branca@unitus.it OI Branca, Giacomo/0000-0002-4741-066X CR Acosta-Michlik L, 2011, RENEW SUST ENERG REV, V15, P2791, DOI 10.1016/j.rser.2011.02.011 Anderman TL, 2014, FOOD SECUR, V6, P541, DOI 10.1007/s12571-014-0360-6 Arndt C, 2012, ENERG ECON, V34, P1922, DOI 10.1016/j.eneco.2012.07.020 Arndt C, 2010, ENVIRON DEV ECON, V15, P81, DOI 10.1017/S1355770X09990027 Ashworth J.H., 2004, WORLD REN EN C 8 BOO Benfica Rui M. S., 2006, THESIS Bijman J., 2009, 7 INT PENSA C SAO PA Bogdanski A., 2010, INTEGRATED FOOD ENER Brittaine R., 2010, JATROPHA SMALLHOLDER, V8 Cardona C.A., 2009, BIOFUEL TECHNOLOGIES Cassman KG, 2007, BIOFUEL BIOPROD BIOR, V1, P18, DOI 10.1002/bbb.3 CSBF, 2009, REP AN POL REG ARR L Dale VH, 2013, ECOL INDIC, V26, P87, DOI 10.1016/j.ecolind.2012.10.014 Esposti R., 2008, FOOD FEED FUEL BIOCA Ewing M, 2009, ENVIRON SCI POLICY, V12, P520, DOI 10.1016/j.envsci.2008.10.002 EWURA, 2012, MONTHL IND FUEL PRIC EWURA, 2008, PROP PRIC FORM COMP FAO, 2010, WORKING PAPER, V35 FAO, 2012, SMALLH GLOB BIOEN VA FAO, 2008, STAT FOOD AGR BIOF P Florin MJ, 2014, ENVIRON SCI POLICY, V37, P142, DOI 10.1016/j.envsci.2013.09.012 German L, 2011, ECOL SOC, V16, DOI 10.5751/ES-04280-160412 GLOVER D, 1990, J AGR ECON, V41, P303, DOI 10.1111/j.1477-9552.1990.tb00648.x Government of Tanzania, 2008, TANZ DEV VIS 2025 Habib-Mintz N, 2010, ENERG POLICY, V38, P3985, DOI 10.1016/j.enpol.2010.03.023 Havlik P, 2011, ENERG POLICY, V39, P5690, DOI 10.1016/j.enpol.2010.03.030 Hill J, 2006, P NATL ACAD SCI USA, V103, P11206, DOI 10.1073/pnas.0604600103 Hoffmann H., 2010, 9 EUR IFSA S VIENN A, P2247 Jaeger WK, 2011, RENEW SUST ENERG REV, V15, P4320, DOI 10.1016/j.rser.2011.07.118 Junginger M, 2014, LECT N ENERG, V17, P213, DOI 10.1007/978-94-007-6982-3_10 Lamers P, 2011, RENEW SUST ENERG REV, V15, P2655, DOI 10.1016/j.rser.2011.01.022 Maltsoglou I, 2015, BIOMASS BIOENERG, V79, P80, DOI 10.1016/j.biombioe.2015.02.007 Martin M, 2009, J CLEAN PROD, V17, pS69, DOI 10.1016/j.jclepro.2009.05.002 Mathews JA, 2007, ENERG POLICY, V35, P3550, DOI 10.1016/j.enpol.2007.02.011 Matzenberger J, 2015, RENEW SUST ENERG REV, V43, P926, DOI 10.1016/j.rser.2014.10.106 Molony T, 2010, AFR AFFAIRS, V109, P489, DOI 10.1093/afraf/adq019 Moschini G, 2012, BIO-BASED APPL ECON, V1, P269 Muller A, 2008, WATER POLICY, V10, P83, DOI 10.2166/wp.2008.053 Mwakaje AG, 2012, ENERGY SUSTAIN DEV, V16, P320, DOI 10.1016/j.esd.2012.07.001 Naik SN, 2010, RENEW SUST ENERG REV, V14, P578, DOI 10.1016/j.rser.2009.10.003 Narayanan S., 2002, 50 IFPRI Negash M, 2013, ENERG POLICY, V61, P963, DOI 10.1016/j.enpol.2013.06.031 Norwana A.A.B.D., 2011, 78 CIFOR Phalan B, 2009, APPL ENERG, V86, pS21, DOI 10.1016/j.apenergy.2009.04.046 Pingali P, 2008, REV AGR ECON, V30, P506, DOI 10.1111/j.1467-9353.2008.00425.x Porter G, 1997, WORLD DEV, V25, P227, DOI 10.1016/S0305-750X(96)00101-5 Rajcaniova M, 2014, APPL ECON, V46, P3163, DOI 10.1080/00036846.2014.925076 Rieks H., 2007, 200704 GROL AGR Schmidhuber J., 2008, EN SEC EUR P C EN SE, P133 Silalertruksa T, 2012, BIOMASS BIOENERG, V46, P409, DOI 10.1016/j.biombioe.2012.07.019 Tenenbaum DJ, 2008, ENVIRON HEALTH PERSP, V116, pA254, DOI 10.1289/ehp.116-a254 Thurlow J, 2015, ENVIRON RESOUR ECON, P1 Timilsina GR, 2012, AGR ECON-BLACKWELL, V43, P315, DOI 10.1111/j.1574-0862.2012.00585.x Uaiene G., 2008, THESIS Van Gerpen JH, 2008, BIODIESEL EC Verstegen JA, 2012, COMPUT ENVIRON URBAN, V36, P30, DOI 10.1016/j.compenvurbsys.2011.08.003 von Maltitz GP, 2013, BIOMASS BIOENERG, V59, P33, DOI 10.1016/j.biombioe.2012.11.024 WB, 2009, WORLD DEV IND Zezza A, 2007, QA LA QUESTIONE AGRA, V4, P9 NR 59 TC 2 Z9 2 U1 1 U2 65 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD NOV 30 PY 2016 VL 57 BP 229 EP 240 DI 10.1016/j.landusepol.2016.05.014 PG 12 WC Environmental Studies SC Environmental Sciences & Ecology GA DU6RB UT WOS:000382341200020 DA 2019-04-09 ER PT J AU Haas, TC Ferreira, SM AF Haas, Timothy C. Ferreira, Sam M. TI Combating Rhino Horn Trafficking: The Need to Disrupt Criminal Networks SO PLOS ONE LA English DT Article ID AGENT-BASED MODEL; LEGAL TRADE; INTERNATIONAL-TRADE; CONSERVATION; WILDLIFE; DEMAND; MARKET; COMPETITION; MANAGEMENT; DYNAMICS AB The onslaught on the World's wildlife continues despite numerous initiatives aimed at curbing it. We build a model that integrates rhino horn trade with rhino population dynamics in order to evaluate the impact of various management policies on rhino sustainability. In our model, an agent-based sub-model of horn trade from the poaching event up through a purchase of rhino horn in Asia impacts rhino abundance. A data-validated, individual-based sub-model of the rhino population of South Africa provides these abundance values. We evaluate policies that consist of different combinations of legal trade initiatives, demand reduction marketing campaigns, increased anti-poaching measures within protected areas, and transnational policing initiatives aimed at disrupting those criminal syndicates engaged in horn trafficking. Simulation runs of our model over the next 35 years produces a sustainable rhino population under only one management policy. This policy includes both a transnational policing effort aimed at dismantling those criminal networks engaged in rhino horn trafficking D coupled with increases in legal economic opportunities for people living next to protected areas where rhinos live. This multi-faceted approach should be the focus of the international debate on strategies to combat the current slaughter of rhino rather than the binary debate about whether rhino horn trade should be legalized. This approach to the evaluation of wildlife management policies may be useful to apply to other species threatened by wildlife trafficking. C1 [Haas, Timothy C.] Univ Wisconsin, Lubar Sch Business, Milwaukee, WI 53201 USA. [Ferreira, Sam M.] SANParks, Sci Serv, Skukuza, South Africa. RP Haas, TC (reprint author), Univ Wisconsin, Lubar Sch Business, Milwaukee, WI 53201 USA. EM haas@uwm.edu FU World Wildlife Fund, South Africa [ZA2321]; WWF South Africa FX This work was supported by the World Wildlife Fund, South Africa, Grant ZA2321 awarded to SF and TH (www.wwf.org.za). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.; Travel for Timothy C. Haas was supported with funding provided by a WWF South Africa grant. We do not have any conflicts of interest. CR Adams WM, 2003, DECOLONIZING NATURE, P9 African Wildlife Foundation (AWF), 2014, RHIN Ammann K, 2014, RHINO HORN STORY CON [Anonymous], 2013, CITY PRESS [Anonymous], 2014, ANIMAL FILES WHITE R [Anonymous], 2014, NEWS24 0501 AYLING J., 2013, INT WILDLIFE LAW POL, V16, P57, DOI DOI 10.1080/13880292.2013.764776] Barbanera F, 2010, BIOL CONSERV, V143, P1259, DOI 10.1016/j.biocon.2010.02.035 Biggs D, 2013, SCIENCE, V339, P1038, DOI 10.1126/science.1229998 Birchall O, 2016, INTRO EC, P36 Blaine S., 2013, BUSINESS DAY Borrini-Feyerabend G, 2015, PROTECTED AREA GOVERNANCE AND MANAGEMENT, P169 Bulte EH, 2005, CONSERV BIOL, V19, P1222, DOI 10.1111/j.1523-1739.2005.00149.x Butt KM, 2014, J POLITICAL STUDIES, V21, P271 Catullo E, 2013, JASSS-J ARTIF SOC S, V16, DOI 10.18564/jasss.2155 Caulderwood Kathleen, 2014, INT BUSINESS TIMES Challender DWS, 2015, GLOB ECOL CONSERV, V3, P129, DOI 10.1016/j.gecco.2014.11.010 Charnovitz Steve, 1994, AM U J INT L POLY, V9, P751 Cheteni P, 2014, J ENV EC, V5, P63 Child B, 2012, S AFR J SCI, V108, P1, DOI 10.4102/sajs.v108i7/8.1338 Collins A, 2013, SCIENCE, V340, P1167, DOI 10.1126/science.340.6137.1167-a Conrad K, 2012, TROP CONSERV SCI, V5, P245, DOI 10.1177/194008291200500302 Contreras-Hermosilla A, 2011, FORESTS, V2, P168, DOI 10.3390/f2010168 Cooney R, 2004, PRECAUTIONARY PRINCI Corbett CJ, 2001, MANAGE SCI, V47, P966, DOI 10.1287/mnsc.47.7.966.9799 Cousins J. A., 2010, ECOLOGY SOC, V15, P28, DOI DOI 10.5751/ES-03349-150228 Crookes DJ, 2015, J NAT CONSERV, V28, P11, DOI 10.1016/j.jnc.2015.08.001 Di Minin E, 2013, ANIM CONSERV, V16, P249, DOI 10.1111/j.1469-1795.2012.00595.x Di Minin E, 2015, CONSERV BIOL, V29, P545, DOI 10.1111/cobi.12412 Dixon H., 1990, FDN EC THOUGHT, P356 Duffy R, 2014, INT AFF, V90, P819, DOI 10.1111/1468-2346.12142 Econecol, 2015, EC EC MOD SOURC COD Eloff C, 2014, CRIM SCI SER, V15, P18 Elsner W., 2015, MICROECONOMICS COMPL Emslie R. H., 2013, AFRICAN RHINOCEROSES Emslie Richard, 1999, AFRICAN RHINO STATUS Europol, 2013, 667574V8 EDOC EUR Ferreira SM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0127783 Ferreira SM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0045989 FERREIRA SM, 2012, PACHYDERM, V51, P60 Ferreira SM, 2014, S AFR J SCI, V110 Fresard L, 2014, WORKING PAPER SERIES Geanakoplos J, 2012, AM ECON REV, V102, P53, DOI 10.1257/aer.102.3.53 Griffiths ML, 2015, THESIS Guilford Gwynn, 2013, ATLANTIC Haas TC, 2015, SECURITY INFORM, V4, P1, DOI [10.1186/s13388-015-0018-8, DOI 10.1186/S13388-015-0018-8] Haas TC, 2016, IEEE T CYBERNETICS, V46, P1721, DOI 10.1109/TCYB.2015.2470520 Havocscope, EX AN SAL Havocscope, RHIN POACH Hsiang S, 2016, NATL BUREAU EC RES W Humphreys J, 2014, INT AFF, V90, P795, DOI 10.1111/1468-2346.12141 Jahoda W., 2010, COMMUNICATION James Tom, 2016, ATLANTIC Joyce SM, 2014, BLOOMBERG BUSINESSWE Kariega, 2014, HAN CONN INV RHIN HO Kelly M, 2000, REV ECON STAT, V82, P530, DOI 10.1162/003465300559028 Kostova T, 2004, CR BIOL, V327, P261, DOI 10.1016/j.crvi.2003.11.010 Litchfield CA, 2013, SCIENCE, V340, P1168, DOI 10.1126/science.340.6137.1168-a Liu H., 2013, IS CHINAS APPETITIE Lunstrum E, 2014, ANN ASSOC AM GEOGR, V104, P816, DOI 10.1080/00045608.2014.912545 Lusseau D, 2016, CURRENT BIOL Maggs K., 2011, K2C RHIN FOR WORKSH Marshall L, 2012, VOICES Mason CF, 2012, OXFORD REV ECON POL, V28, P180, DOI 10.1093/oxrep/grs006 Milliken T., 2012, S AFRICA VIETNAM RHI Milliken T, 2014, ILLEGAL IVORY RHINO Moore L, 2011, GEOFORUM, V42, P51, DOI 10.1016/j.geoforum.2010.09.002 Nadal A., 2014, LCSV WORKING PAPER S, V6 Ng TS, 2013, IEEE T SYST MAN CY-S, V43, P416, DOI 10.1109/TSMCA.2012.2195167 Nijman V, 2010, BIODIVERS CONSERV, V19, P1101, DOI 10.1007/s10531-009-9758-4 Prins HHT, 2013, SCIENCE, V340, P1167, DOI 10.1126/science.340.6137.1167-b Rees W., 2003, ORG CRIME CHALLENGE Rivalan P, 2007, NATURE, V447, P529, DOI 10.1038/447529a Roberts S. L., 2014, DAILY MAIL Rodriguez-Pose A, 2015, APPL GEOGR, V61, P11, DOI 10.1016/j.apgeog.2015.02.005 Ropeik A, 2014, IND BLAMES PIRATE FI Rosen GE, 2010, ECOHEALTH, V7, P24, DOI 10.1007/s10393-010-0317-y Ruetschlin CM, 2012, J INT DIVERSITY, V2012, P94 SAH RK, 1984, AM ECON REV, V74, P125 SANParks, 2014, S AFR NAT PAR DAT RE Shelley L., 2003, BROWN J WORLD AFFAIR, V10, P119 Smillie S., 2013, INT BOULEVARD 0101 Smith D., 2016, TUCSON SENTINEL 0607 Smith RJ, 2013, ORYX, V47, P323, DOI 10.1017/S0030605313000768 State of New Jersey Commission of Investigation, 2004, CHANG FAC ORG CRIM N Stoddard E., 2012, REUTERS 0426 Tesfatsion L., 2005, HDB COMPUTATIONAL EC, V2, P831 Thai Sarnsamak P., 2013, NATION Warchol G.L., 2004, CRIM JUSTICE STUD CR, V17, P57, DOI DOI 10.1080/08884310420001679334 Wildliferanching, 2011, BLACK RHIN DEC BIC World Bank, 2015, POP EST PROJ WWF/Dalberg, 2012, FIGHT ILL WILDL TRAF NR 92 TC 8 Z9 8 U1 16 U2 74 PU PUBLIC LIBRARY SCIENCE PI SAN FRANCISCO PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA SN 1932-6203 J9 PLOS ONE JI PLoS One PD NOV 21 PY 2016 VL 11 IS 11 AR e0167040 DI 10.1371/journal.pone.0167040 PG 26 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA ED4UE UT WOS:000388846400056 PM 27870917 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Peltonen-Sainio, P Jauhiainen, L Lehtonen, H AF Peltonen-Sainio, Pirjo Jauhiainen, Lauri Lehtonen, Heikki TI Land Use, Yield and Quality Changes of Minor Field Crops: Is There Superseded Potential to Be Reinvented in Northern Europe? SO PLOS ONE LA English DT Article ID CLIMATE-CHANGE; SPRING CEREALS; FINLAND; MANAGEMENT; ROTATIONS; NITROGEN; LEGUMES; GRAIN; IMPROVEMENTS; AGRICULTURE AB Diversification of agriculture was one of the strengthened aims of the greening payment of European Agricultural Policy (CAP) as diversification provides numerous ecosystems services compared to cereal-intensive crop rotations. This study focuses on current minor crops in Finland that have potential for expanded production and considers changes in their cropping areas, yield trends, breeding gains, roles in crop rotations and potential for improving resilience. Long-term datasets of Natural Resources Institute Finland and farmers' land use data from the Agency of Rural Affairs were used to analyze the above-mentioned trends and changes. The role of minor crops in rotations declined when early and late CAP periods were compared and that of cereal monocultures strengthened. Genetic yield potentials of minor crops have increased as also genetic improvements in quality traits, although some typical trade-offs with improved yields have also appeared. However, the gap between potential and attained yields has expanded, depending on the minor crop, as national yield trends have either stagnated or declined. When comparing genetic improvements of minor crops to those of the emerging major crop, spring wheat, breeding achievements in minor crops were lower. It was evident that the current agricultural policies in the prevailing market and the price environment have not encouraged cultivation of minor crops but further strengthened the role of cereal monocultures. We suggest optimization of agricultural land use, which is a core element of sustainable intensification, as a future means to couple longterm environmental sustainability with better success in economic profitability and social acceptability. This calls for development of effective policy instruments to support farmer's diversification actions. C1 [Peltonen-Sainio, Pirjo; Jauhiainen, Lauri] Nat Resources Inst Finland Luke, Management & Prod Renewable Resources, FI-31600 Jokioinen, Finland. [Lehtonen, Heikki] Nat Resources Inst Finland Luke, Econ & Soc, FI-00790 Helsinki, Finland. RP Peltonen-Sainio, P (reprint author), Nat Resources Inst Finland Luke, Management & Prod Renewable Resources, FI-31600 Jokioinen, Finland. EM pirjo.peltonen-sainio@luke.fi FU Ministry of Agriculture and Forestry; Natural Resources Institute Finland (Luke); Sustainable Intensification of Crop Production through Land Use Changes (PeltoOptimi) FX The work was financed by the Ministry of Agriculture and Forestry and Natural Resources Institute Finland (Luke) as a part of a consortium of projects entitled Improving Resilience to Climate Change and Variation Induced Risks in Agriculture (ILMAPUSKURI) and Sustainable Intensification of Crop Production through Land Use Changes (PeltoOptimi). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.; The work was financed by the Ministry of Agriculture and Forestry and Natural Resources Institute Finland (Luke) as a part of a consortium of projects entitled Improving Resilience to Climate Change and Variation Induced Risks in Agriculture (ILMAPUSKURI) and Sustainable Intensification of Crop Production through Land Use Changes (PeltoOptimi). CR Alston JM, 2008, HORTSCIENCE, V43, P1461 FAO, 2016, AGR STAT Fischer RA, 2015, FIELD CROP RES, V182, P9, DOI 10.1016/j.fcr.2014.12.006 Gaudin ACM, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0113261 Howieson JG, 2000, FIELD CROP RES, V65, P107, DOI 10.1016/S0378-4290(99)00081-7 Jalli M, 2011, AGR FOOD SCI, V20, P62, DOI 10.2137/145960611795163015 Jensen ES, 2012, AGRON SUSTAIN DEV, V32, P329, DOI 10.1007/s13593-011-0056-7 Kankanen H, 2011, EUR J AGRON, V34, P35, DOI 10.1016/j.eja.2010.10.002 Kirkegaard J, 2008, FIELD CROP RES, V107, P185, DOI 10.1016/j.fcr.2008.02.010 Laidig F, 2014, THEOR APPL GENET, V127, P2599, DOI 10.1007/s00122-014-2402-z Laine A, 2015, LUONNONVARA JA BIOTA Lamichhane JR, 2015, CROP PROT, V74, P42, DOI 10.1016/j.cropro.2015.04.005 Lehtonen H, 2016, ROUT ADV CLIMATE, P132 Littell R. C., 2006, SAS MIXED MODELS Liu X, 2016, AGR SYST, V144, P65, DOI 10.1016/j.agsy.2015.12.003 Mackay I, 2011, THEOR APPL GENET, V122, P225, DOI 10.1007/s00122-010-1438-y Makinen H, 2015, FIELD CROP RES, V183, P23, DOI 10.1016/j.fcr.2015.07.006 Monjardino M, 2015, AGR SYST, V137, P108, DOI 10.1016/j.agsy.2015.04.006 Myyra S, 2005, LAND ECON, V81, P557, DOI 10.3368/le.81.4.557 Nemecek T, 2008, EUR J AGRON, V28, P380, DOI 10.1016/j.eja.2007.11.004 Nemecek T, 2015, EUR J AGRON, V65, P40, DOI 10.1016/j.eja.2015.01.005 Paananen I, 2014, VILJATILOILLA TARVIT Peltonen-Sainio P, 2007, J AGR SCI, V145, P587, DOI 10.1017/S0021859607007381 Peltonen-Sainio P, 2011, SOIL USE MANAGE, V27, P229, DOI 10.1111/j.1475-2743.2011.00331.x Peltonen-Sainio P, 2009, ACTA AGR SCAND B-S P, V59, P129, DOI 10.1080/09064710802022895 Peltonen-Sainio P, 2016, CLIM RES, V67, P221, DOI 10.3354/cr01378 Peltonen-Sainio P, 2015, AMBIO, V44, P544, DOI 10.1007/s13280-015-0637-9 Peltonen-Sainio P, 2011, FIELD CROP RES, V121, P248, DOI 10.1016/j.fcr.2010.12.010 Peltonen-Sainio P, 2010, AGR FOOD SCI, V19, P341, DOI 10.2137/145960610794197588 Pietila A, 2008, KUUDEN VUODEN VILJEL Pouta E, 2012, LAND USE POLICY, V29, P367, DOI 10.1016/j.landusepol.2011.08.001 Pradhan P, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129487 Preissel S, 2015, FIELD CROP RES, V175, P64, DOI 10.1016/j.fcr.2015.01.012 Rankinen K, 2013, AGR FOOD SCI, V22, P342, DOI 10.23986/afsci.7500 Rastas M, 2013, ACTA PHYTOPATHOLOGIC, V43, P530 Rockstrom J, 2009, ECOL SOC, V14 Seymour M, 2012, CROP PASTURE SCI, V63, P1, DOI 10.1071/CP11320 Solberg SO, 2015, AGR FOOD SCI, V24, P150, DOI 10.23986/afsci.48629 Triboi E, 2002, EUR J AGRON, V16, P163, DOI 10.1016/S1161-0301(01)00146-0 Voisin AS, 2014, AGRON SUSTAIN DEV, V34, P361, DOI 10.1007/s13593-013-0189-y Wezel A, 2014, AGRON SUSTAIN DEV, V34, P1, DOI 10.1007/s13593-013-0180-7 World Bank, 2008, WORLD DEV REP 2008 NR 42 TC 2 Z9 2 U1 0 U2 25 PU PUBLIC LIBRARY SCIENCE PI SAN FRANCISCO PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA SN 1932-6203 J9 PLOS ONE JI PLoS One PD NOV 21 PY 2016 VL 11 IS 11 AR e0166403 DI 10.1371/journal.pone.0166403 PG 19 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA ED4UE UT WOS:000388846400011 PM 27870865 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Morandi, F Perrin, A Ostergard, H AF Morandi, F. Perrin, A. Ostergard, H. TI Miscanthus as energy crop: Emiironmental assessment of a miscanthus biomass production case study in France SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Miscanthus; Emergy; UEV; Renewability; EROI; Energy crop ID ENVIRONMENTAL PERFORMANCE; EMERGY; BIOFUELS; IRELAND; EUROPE AB The cultivation of miscanthus (Miscanthus x Giganteus) as biomass for energy production has increased year by year due to its agronomical performances. In particular, in France, miscanthus is cultivated in the Bourgogne region and it is used as feedstock to produce pellet In this paper, emergy assessment of different logistic (harvesting) strategies for miscanthus production in the Bourgogne region is presented. Emergy assessment is a particular methodology suited to quantify the resource use of a process and to estimate the percentage of renewability of products or services. The case study includes all phases to grow miscanthus, harvest the biomass as chips or short- or long-stranded bales and distribute it to a bioenergy plant The aim of this study is to evaluate the sustainability performance of the whole process, from the field to the plant's gate. The emergy flow that represents the environmental cost of the whole process, the percentage of renewability (%R) and the Unit Emergy Values (UEV) that represent the resource use efficiency of the final products for each phase are calculated. Since miscanthus is reproduced by rhizomes, in addition to the system for growing and distributing miscanthus biomass, the system for producing miscanthus rhizomes is also analysed and a UEV for miscanthus rhizomes of 1.19E+05 seJ/J was obtained. Moreover, due the absence of other emergy assessments for miscanthus biomass for comparison, a sensitivity analysis has been made by considering different transport distances and different aboveground biomass yields. Comparing the harvesting methodologies, the bales made with short strands has the best performance. The aboveground biomass production was found to have an Energy Return On energy Investment (EROI), which is the double of that from an experimental miscanthus field in Italy. However, this implied a trade-off for the net energy production of about 50%. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Morandi, F.; Ostergard, H.] DTU, Dept Chem & Biochem Engn, DK-2800 Lyngby, Denmark. [Perrin, A.] INRA AgroParisTech, EcoSys UMR1402, Thiverval Grignon, France. RP Ostergard, H (reprint author), DTU, Dept Chem & Biochem Engn, DK-2800 Lyngby, Denmark. EM haqs@kt.dtu.dk RI Perrin, Aurelie/C-2074-2017 OI Perrin, Aurelie/0000-0002-1645-5056 FU EU FP7 Project LogistEC [311858] FX This work has been founded by the EU FP7 Project LogistEC (n. 311858) and authors would like to acknowledge the participants for useful discussion and especially Philippe Bejot (Bourgogne Pellets), Ines Echeverria Goni and Blanca de Ulibarri Martinez (CENER) for collecting data, Ian Shield and Nicola Yates (Rothamsted Research) for all the information on the nursery field management. CR Angelini LG, 2009, BIOMASS BIOENERG, V33, P635, DOI 10.1016/j.biombioe.2008.10.005 Bastianoni S, 2009, ECOL MODEL, V220, P40, DOI 10.1016/j.ecolmodel.2008.09.003 Brown M.T., 2015, TERTIARY EC THREAT G Brown MT, 1996, ECOL ECON, V19, P219, DOI 10.1016/S0921-8009(96)00046-8 Campbell D.E., 2010, EPA600R10182 OFF RES, P119 Campbell D.E., 2009, EPA600R09002, P138 Cerdan O, 2010, GEOMORPHOLOGY, V122, P167, DOI 10.1016/j.geomorph.2010.06.011 Dufosse K, 2013, WASTE BIOMASS VALORI, V4, P593, DOI 10.1007/s12649-012-9171-1 ECN, 2015, PHYLLIS2 DAT BIOM WA Herendeen R.A., 2004, ECOL ECON, V178, P227 Kaltschmitt M, 1997, BIOMASS BIOENERG, V12, P121, DOI 10.1016/S0961-9534(96)00071-2 Kamp A, 2016, ECOL INDIC, V60, P884, DOI 10.1016/j.ecolind.2015.08.011 Laurent A., 2015, ENV MODELLING UNPUB Lewandowski I, 2003, BIOMASS BIOENERG, V25, P335, DOI 10.1016/S0961-9534(03)00030-8 Mann JJ, 2013, BIOENERG RES, V6, P678, DOI 10.1007/s12155-012-9287-y Murphy F, 2013, RENEW SUST ENERG REV, V23, P412, DOI 10.1016/j.rser.2013.01.058 Odum H. T, 1996, ENV ACCOUNTING EMERG Odum H.T., 2000, HDB EMERGY EVALUATIO, V2, P30 Odurn H.T., 1983, SYSTEMS ECOLOGY INTR, P644 Parajuli R, 2015, BIOMASS BIOENERG, V72, P104, DOI 10.1016/j.biombioe.2014.11.011 Pulselli RM, 2008, ECOL INDIC, V8, P647, DOI 10.1016/j.ecolind.2007.10.001 Rizzo D, 2014, BIOMASS BIOENERG, V66, P348, DOI 10.1016/j.biombioe.2014.02.035 Rosillo-Calle, 2015, BIOMASS ASSESSMENT H, P336 Smeets EMW, 2009, RENEW SUST ENERG REV, V13, P1230, DOI 10.1016/j.rser.2008.09.006 Styles D, 2007, BIOMASS BIOENERG, V31, P759, DOI 10.1016/j.biombioe.2007.05.003 Triana E., 2014, MEDITERRANEAN ENV GL NR 26 TC 9 Z9 9 U1 5 U2 15 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 20 PY 2016 VL 137 BP 313 EP 321 DI 10.1016/j.jclepro.2016.07.042 PG 9 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA EG5JE UT WOS:000391079300031 DA 2019-04-09 ER PT J AU Wang, T Yu, YD Zhou, WJ Liu, BM Chen, DJ Zhu, B AF Wang, Tao Yu, Yadong Zhou, Wenji Liu, Bomin Chen, Dingjiang Zhu, Bing TI Dynamics of material productivity and socioeconomic factors based on auto-regressive distributed lag model in China SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Material productivity; Socioeconomic factors; ARDL (auto-regressive distributed lag); China ID ENVIRONMENTAL KUZNETS CURVE; ECONOMIC-GROWTH; CO2 EMISSIONS; RESOURCE PRODUCTIVITY; FINANCIAL DEVELOPMENT; ENERGY-CONSUMPTION; TRADE OPENNESS; COINTEGRATION; TECHNOLOGY; HYPOTHESIS AB Material productivity (MP), measured as economic output (such as Gross Domestic Product, GDP) per corresponding material input, is gained significant interest of becoming a widespread environmental sustainability indicator. The study of MP's dynamics is very important for policy-making on how to improve MP. This paper applies the auto-regressive distributed lag (ARDL) model to investigate the dynamic impacts of energy intensity for secondary industry (SEI), tertiary industry value added per GDP (TVA), trade openness (TO) and domestic extraction per capita (DEC) on MP in the case of China during the period from 1980 to 2010. The validated and robust results of the model confirm the existence of cointegration among the variables both in the long and short run. The impacts of selected socioeconomic factors can be summarized as follows: 1) In the long run, an SEI decrease driven by technology improvement is found to be the main driver of MP, and a 1% decrease in SEI results in a 0.432% increase in MP; 2) The magnitude of the impact of TVA on MP is higher over the short run than over the long run; 3) TO can reluctantly promote MP both in the long and short run; 4) DEC exhibits fundamentally different behaviors in the long and short run. DEC is not a strongly significant factor for MP, and the magnitude of the impact is very weak in the long run. However, it has the greatest negative impact on MP in the short run, as a 1% increase in DEC results in a 0.519% decrease in MP, which demonstrates that the marginal revenue of resource input has already dramatically declined. These insights from the study could be considerably helpful for sustainable resource management and material productivity enhancement (C) 2016 Elsevier Ltd. All rights reserved. C1 [Wang, Tao; Liu, Bomin; Chen, Dingjiang; Zhu, Bing] Tsinghua Univ, Dept Chem Engn, Beijing 100084, Peoples R China. [Yu, Yadong] East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China. [Zhou, Wenji] Petr Co Ltd, China Natl Aviat Fuel Grp, Beijing 100088, Peoples R China. [Zhu, Bing] Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria. RP Zhu, B (reprint author), Tsinghua Univ, Dept Chem Engn, Beijing 100084, Peoples R China. EM bingzhu@tsinghua.edu.cn RI Chen, Dingjiang/P-9085-2014 OI Chen, Dingjiang/0000-0001-8800-8610 FU National Key Technology R&D Program of China [2012BAC03B01]; Natural Science Foundation of China [71161140354] FX The authors are thankful for support from the National Key Technology R&D Program of China (No. 2012BAC03B01) and the Natural Science Foundation of China (No. 71161140354). CR Ahmed K, 2015, ECOL INDIC, V49, P95, DOI 10.1016/j.ecolind.2014.09.040 Al-Mulali U, 2015, ENERG POLICY, V76, P123, DOI 10.1016/j.enpol.2014.11.019 Alcott B, 2005, ECOL ECON, V54, P9, DOI 10.1016/j.ecolecon.2005.03.020 Ang JB, 2011, EUR ECON REV, V55, P688, DOI 10.1016/j.euroecorev.2010.09.004 Austrian Federal Government, 2002, AUSTR STRAT SUST DEV Auty R. M., 1990, RESOURCE BASED IND S Baum CF, 2004, INT J FORECASTING, V20, P151, DOI 10.1016/j.ijforecast.2003.11.007 Behrens A, 2007, ECOL ECON, V64, P444, DOI 10.1016/j.ecolecon.2007.02.034 Bleischwitz R., 2009, RELATION RESOURCE PR Bringezu S, 2004, ECOL ECON, V51, P97, DOI 10.1016/j.ecolecon.2004.04.010 Bringezu S., 2003, J IND ECOL, V7, P43, DOI DOI 10.1162/108819803322564343 Carmignani F, 2010, ECOL ECON, V70, P317, DOI 10.1016/j.ecolecon.2010.09.003 Clarke JA, 2006, J STAT COMPUT SIM, V76, P207, DOI 10.1080/10629360500107741 ENGLE RF, 1987, ECONOMETRICA, V55, P251, DOI 10.2307/1913236 European Commission, 2005, THEM STRAT SUST US N Europejska K., 2011, RESOURCE EFFICIENT E Fischer-Kowalski M, 2011, J IND ECOL, V15, P855, DOI 10.1111/j.1530-9290.2011.00366.x Fisher-Vanden K, 2004, RESOUR ENERGY ECON, V26, P77, DOI [10.1016/j.reseneeco.2003.07.002, 10.1016/j.resenecco.2003.07.002] Gan Y, 2013, J IND ECOL, V17, P440, DOI 10.1111/j.1530-9290.2012.00547.x Ge XD, 2015, ECOL ECON, V119, P53, DOI 10.1016/j.ecolecon.2015.08.006 Giljum S., 2010, RESOURCE USE RESOURC Giljum S., 2004, J ENVIRON DEV, V13, P73, DOI DOI 10.1177/1070496503260974 GONZALO J, 1994, J ECONOMETRICS, V60, P203, DOI 10.1016/0304-4076(94)90044-2 GRANGER CWJ, 1969, ECONOMETRICA, V37, P424, DOI 10.2307/1912791 Gylfason T, 1999, MACROECON DYN, V3, P204 Hang LM, 2007, ENERG POLICY, V35, P2978, DOI 10.1016/j.enpol.2006.10.022 Hashimoto S, 2008, J IND ECOL, V12, P657, DOI 10.1111/j.1530-9290.2008.00072.x Haug AA, 2002, OXFORD B ECON STAT, V64, P399, DOI 10.1111/1468-0084.00025 Jalil A, 2009, ENERG POLICY, V37, P5167, DOI 10.1016/j.enpol.2009.07.044 Janicke M., 2001, GREEN IND RESTRUCTIN JOHANSEN S, 1991, ECONOMETRICA, V59, P1551, DOI 10.2307/2938278 LARSON ED, 1986, SCI AM, V254, P34, DOI 10.1038/scientificamerican0686-34 Madsen JB, 2010, J ECON GROWTH, V15, P263, DOI 10.1007/s10887-010-9057-7 Ministry of the Environment of Japan Government of Japan, 2008, FUND PLAN EST SOUND Moll S., 2005, POLICY REV DECOUPLIN Muradian R, 2001, ECOL ECON, V36, P281, DOI 10.1016/S0921-8009(00)00229-9 Narayan PK, 2005, APPL ECON, V37, P1979, DOI 10.1080/00036840500278103 National Bureau of Statistics, 1997, CHINA ENERGY STAT YB OECD (Organisation for Economic Co-operation and Development), 2013, RES PROD G8 OECD REP OECD (Organization for Economic Cooperation and Development), 2008, MEAS MAT FLOWS RES P Ozturk I, 2010, RENEW SUST ENERG REV, V14, P3220, DOI 10.1016/j.rser.2010.07.005 Perc M, 2013, J R SOC INTERFACE, V10, DOI 10.1098/rsif.2012.0997 Perc M, 2010, BIOSYSTEMS, V99, P109, DOI 10.1016/j.biosystems.2009.10.003 Pesaran MH, 2001, J APPL ECONOM, V16, P289, DOI 10.1002/jae.616 Polimeni J.M., 2008, JEVONS PARADOX MYTH Saboori B, 2012, ENERG POLICY, V51, P184, DOI 10.1016/j.enpol.2012.08.065 Sachs JD, 1999, J DEV ECON, V59, P43, DOI 10.1016/S0304-3878(99)00005-X Schutz H., 2001, EC WIDE MAT FLOW ACC Shahbaz M, 2013, RENEW SUST ENERG REV, V25, P109, DOI 10.1016/j.rser.2013.04.009 Shahbaz M, 2012, ECON MODEL, V29, P2325, DOI 10.1016/j.econmod.2012.07.015 Sohag K, 2015, ENERGY, V90, P1497, DOI 10.1016/j.energy.2015.06.101 Steger S, 2011, J CLEAN PROD, V19, P816, DOI 10.1016/j.jclepro.2010.08.016 Steinberger JK, 2011, ENVIRON SCI TECHNOL, V45, P1169, DOI 10.1021/es1028537 Steinberger JK, 2010, ECOL ECON, V69, P1148, DOI 10.1016/j.ecolecon.2009.12.009 The State Council of the People's Republic of China, 2011, 12 5 YEAR PLAN NAT E TODA HY, 1995, J ECONOMETRICS, V66, P225, DOI 10.1016/0304-4076(94)01616-8 Wan J, 2015, ENERG ECON, V48, P253, DOI 10.1016/j.eneco.2014.12.014 West J., 2013, RESOURCE EFFICIENCY Wiedmann TO, 2015, P NATL ACAD SCI USA, V112, P6271, DOI 10.1073/pnas.1220362110 Yanikkaya H, 2003, J DEV ECON, V72, P57, DOI 10.1016/S0304-3878(03)00068-3 Zhou N, 2010, ENERG POLICY, V38, P6439, DOI 10.1016/j.enpol.2009.08.015 NR 61 TC 5 Z9 5 U1 1 U2 12 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 20 PY 2016 VL 137 BP 752 EP 761 DI 10.1016/j.jclepro.2016.07.161 PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA EG5JE UT WOS:000391079300066 DA 2019-04-09 ER PT J AU Helbig, C Gemechu, ED Pillain, B Young, SB Thorenz, A Tuma, A Sonnemann, G AF Helbig, Christoph Gemechu, Eskinder D. Pillain, Baptiste Young, Steven B. Thorenz, Andrea Tuma, Axel Sonnemann, Guido TI Extending the geopolitical supply risk indicator: Application of life cycle sustainability assessment to the petrochemical supply chain of polyacrylonitrile-based carbon fibers SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Supply risk; Life cycle sustainability assessment; Criticality assessment; Carbon fiber; Political stability ID METALS; RETHINKING; RESOURCES; FOOTPRINT; POLICY; ROUTE AB Due to the material diversity of high-tech products and globalized supply chains, it is important to be able to assess geopolitical supply risks for the supply chain of any commodity. This article extends the Geopolitical Supply Risk assessment method under the Life Cycle Sustainability Assessment framework to account for multi-stage supply chains as well, as domestic production and applies this extended method to the supply chain of carbon fibers based on polyacrylonitrile. Particularly, the article estimates the Geopolitical Supply Risk factors emerging from international trade of petroleum, propene and acrylonitrile. Risk factors are calculated for 145 countries, and a total set of six scope-dependent indicators is identified for 54 countries. The case studies of acrylonitrile supply chains for Russia, Peru, Japan and Greece exemplify this approach and risk' mitigation strategies are discussed for each of them. The results show the applicability of the modified Geopolitical Supply Risk characterization factor to a multi-stage supply chain with different internationally traded commodities in the petrochemical industry. Thereby the method serves to further integrate Life Cycle Assessment and the socio-economic dimension of natural resource impacts. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Helbig, Christoph; Thorenz, Andrea; Tuma, Axel] Univ Augsburg, Resource Lab, Univ Str 16, D-86159 Augsburg, Germany. [Gemechu, Eskinder D.; Pillain, Baptiste; Sonnemann, Guido] Univ Bordeaux, Inst Mol Sci, Life Cycle Grp, Bordeaux, France. [Young, Steven B.] Univ Waterloo, SEED, Waterloo, ON, Canada. RP Sonnemann, G (reprint author), Univ Bordeaux, Inst Mol Sci, Life Cycle Grp, Bordeaux, France. EM guido.sonnemann@u-bordeaux.fr OI Gemechu, Eskinder Demisse/0000-0003-1868-0334; Sonnemann, Guido/0000-0003-2581-1910 FU Bavarian graduate school "Resource strategy concepts for sustainable energy systems" of the Institute of Materials Resource Management (MRM) of the University of Augsburg; French National Research Agency (ANR) [ANR-13-ECOT-0005] FX This research was supported by the Bavarian graduate school "Resource strategy concepts for sustainable energy systems" of the Institute of Materials Resource Management (MRM) of the University of Augsburg and the French National Research Agency (ANR), who is funding the SEARRCH project (ANR-13-ECOT-0005). We thank Nino Haase for useful discussion on the carbon fiber supply chain. CR Bartekova E, 2016, RESOUR POLICY, V49, P153, DOI 10.1016/j.resourpol.2016.05.003 Benoit C, 2010, INT J LIFE CYCLE ASS, V15, P156, DOI 10.1007/s11367-009-0147-8 BP p. l. c, 2014, BP STAT REV WORLD EN Bradshaw Alex M., 2013, Green, V3, P93, DOI 10.1515/green-2013-0014 CALKINS S, 1983, CALIF LAW REV, V71, P402, DOI 10.2307/3480160 Cespi D, 2014, J CLEAN PROD, V69, P17, DOI 10.1016/j.jclepro.2014.01.057 Craig J. R., 2011, RESOURCES EARTH ORIG Dewulf J, 2015, ENVIRON SCI TECHNOL, V49, P5310, DOI 10.1021/acs.est.5b00734 DOJ and FTC, 2010, HORIZONTAL MERGER GU Drielsma JA, 2016, INT J LIFE CYCLE ASS, V21, P85, DOI 10.1007/s11367-015-0991-7 Duan HB, 2016, PROG PHOTOVOLTAICS, V24, P83, DOI 10.1002/pip.2654 Gemechu E. D., 2015, INT J LIFE CYCLE ASS Gemechu ED, 2016, J IND ECOL, V20, P154, DOI 10.1111/jiec.12279 Graedel T., 2015, J IND ECOL Graedel TE, 2012, ENVIRON SCI TECHNOL, V46, P1063, DOI 10.1021/es203534z Greenfield A, 2013, RESOUR CONSERV RECY, V74, P1, DOI 10.1016/j.resconrec.2013.02.010 Habib K, 2016, J CLEAN PROD, V133, P850, DOI 10.1016/j.jclepro.2016.05.118 Huang XS, 2009, MATERIALS, V2, P2369, DOI 10.3390/ma2042369 INEOS, 2015, PROD APPL Johnson J, 2008, J IND ECOL, V12, P739, DOI 10.1111/j.1530-9290.2008.00092.x Kaufmann D., 2015, WORLDWIDE GOVERNANCE Kaufmann D., 2010, 5430 WORLD BANK Krohns S, 2011, NAT MATER, V10, P899, DOI 10.1038/nmat3180 Mancini L, 2015, ENVIRON SCI POLICY, V54, P367, DOI 10.1016/j.envsci.2015.07.025 Mancini L, 2015, INT J LIFE CYCLE ASS, V20, P100, DOI 10.1007/s11367-014-0808-0 Nansai K, 2015, ENVIRON SCI TECHNOL, V49, P2022, DOI 10.1021/es504255r Nassar NT, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400180 Park S.-J., 2015, CARBON FIBERS PCI, 2013, ACR DER MONTH REP SE plastemart, 2014, 50 PERC INCR GLOB PR Schaffartzik A, 2014, GLOBAL ENVIRON CHANG, V26, P87, DOI 10.1016/j.gloenvcha.2014.03.013 Schneider L., 2014, COMPREHENSIVE APPROA Schneider L, 2014, INT J LIFE CYCLE ASS, V19, P601, DOI 10.1007/s11367-013-0666-1 Smith R., 2012, PETROCHEMICAL OUTLOO, P2012 Sonnemann G, 2015, J CLEAN PROD, V94, P20, DOI 10.1016/j.jclepro.2015.01.082 U.S. Energy Information Administration, 2015, REF NET PROD PROP U. S. National Research Council and Committee on Critical Mineral Impacts of the U. S. Economy, 2008, MIN CRIT MIN US EC UN-United Nations Statistics Division, 2015, COMM TRAD STAT DAT US Department of Defense, 2013, STRAT CRIT MAT 2013 Vieira MDM, 2016, RESOURCES-BASEL, V5, DOI 10.3390/resources5010002 Young S. B., 2011, LCM METALS SUPPLY EL NR 41 TC 3 Z9 3 U1 4 U2 21 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 20 PY 2016 VL 137 BP 1170 EP 1178 DI 10.1016/j.jclepro.2016.07.214 PG 9 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA EG5JE UT WOS:000391079300105 DA 2019-04-09 ER PT J AU Lusseau, D Lee, PC AF Lusseau, David Lee, Phyllis C. TI Can We Sustainably Harvest Ivory? SO CURRENT BIOLOGY LA English DT Article ID FEMALE AFRICAN ELEPHANTS; DYNAMICS AB Despite the 1989 ivory trade ban, elephants continue to be killed to harvest their tusks for ivory. Since 2008, this poaching has increased to unprecedented levels driven by consumer demand for ivory products. CITES is now considering the development of a legal ivory trade [1, 2]. The proposal relies on three assumptions: (1) harvest regulation will cease all illegal activities, (2) defined sustainable quotas can be enforced, and (3) we can define meaningful sustainable quotas that come close to the current demand. We know that regulation of harvest does not stop illegal takes. Despite whaling regulation after World War II, illegal whaling continued for decades [3]. The introduction of wolf culls in the US actually increased poaching activities [4], and one-off ivory sales in 1999 and 2008 did nothing to halt elephant poaching. Governance issues over the ivory supply chains, including stockpiling, make enforcing quotas challenging, if not impossible [5, 6]. We have not yet adequately assessed what could be a sustainable ivory yield. To do so, we develop a compartmental model composed of a two-sex age-structured demographic model and an ivory production and harvest model. We applied several offtake and quota strategies to define how much ivory could be sustainably harvested. We found that the sustainability space is very small. Only 100 to 150 kg of ivory could be removed from a reference population of 1,360 elephants, levels well below the current demand. Our study shows that lifting the ivory ban will not address the current poaching challenge. We should instead focus on reducing consumer demand. C1 [Lusseau, David] Univ Aberdeen, Inst Biol & Environm Sci, Aberdeen AB24 2TZ, Scotland. [Lee, Phyllis C.] Univ Stirling, Fac Nat Sci, Stirling FK9 4LA, Scotland. RP Lusseau, D (reprint author), Univ Aberdeen, Inst Biol & Environm Sci, Aberdeen AB24 2TZ, Scotland. EM d.lusseau@abdn.ac.uk OI Lusseau, David/0000-0003-1245-3747 CR Bennett EL, 2015, CONSERV BIOL, V29, P54, DOI 10.1111/cobi.12377 Chapron G, 2016, P ROY SOC B-BIOL SCI, V283, DOI 10.1098/rspb.2015.2939 Doherty RM, 2010, GLOBAL CHANGE BIOL, V16, P617, DOI 10.1111/j.1365-2486.2009.01997.x Foley C, 2008, BIOL LETTERS, V4, P541, DOI 10.1098/rsbl.2008.0370 Fryxell JM, 2010, SCIENCE, V328, P903, DOI 10.1126/science.1185802 Gerber LR, 2014, J APPL ECOL, V51, P270, DOI 10.1111/1365-2664.12177 GINSBERG JR, 1994, CONSERV BIOL, V8, P157, DOI 10.1046/j.1523-1739.1994.08010157.x Gobush KS, 2008, CONSERV BIOL, V22, P1590, DOI 10.1111/j.1523-1739.2008.01035.x Hammond P. S., 2006, SIGNIFICANCE, V3, P54, DOI DOI 10.1111/J.1740-9713.2006.00160.X Ivashchenko YV, 2015, ROY SOC OPEN SCI, V2, DOI 10.1098/rsos.150177 Lee P. C., 2016, PACHYDERM, V57, P125 Lee PC, 2016, BEHAV ECOL SOCIOBIOL, V70, P337, DOI 10.1007/s00265-015-2051-5 Martin R. B., 2012, SC62 CITES McComb K, 2001, SCIENCE, V292, P491, DOI 10.1126/science.1057895 Nadal F., 2016, PACHYDERM, V57, P57 Pirotta E, 2015, ECOL APPL, V25, P729, DOI 10.1890/14-0986.1 Poole Joyce H., 2011, P272 Steenkamp G, 2007, J S AFR VET ASSOC, V78, P75 Underwood FM, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0076539 NR 19 TC 2 Z9 2 U1 6 U2 56 PU CELL PRESS PI CAMBRIDGE PA 600 TECHNOLOGY SQUARE, 5TH FLOOR, CAMBRIDGE, MA 02139 USA SN 0960-9822 EI 1879-0445 J9 CURR BIOL JI Curr. Biol. PD NOV 7 PY 2016 VL 26 IS 21 BP 2951 EP 2956 DI 10.1016/j.cub.2016.08.060 PG 6 WC Biochemistry & Molecular Biology; Cell Biology SC Biochemistry & Molecular Biology; Cell Biology GA EC1AK UT WOS:000387835700032 PM 27641769 DA 2019-04-09 ER PT J AU Bong, IW Felker, ME Maryudi, A AF Bong, Indah Waty Felker, Mary Elizabeth Maryudi, Ahmad TI How Are Local People Driving and Affected by Forest Cover Change? Opportunities for Local Participation in REDD plus Measurement, Reporting and Verification SO PLOS ONE LA English DT Article ID TROPICAL FORESTS; CO-BENEFITS; TRADE-OFFS; DEFORESTATION; MANAGEMENT; SUSTAINABILITY; SAFEGUARDS; INDONESIA; PROJECTS; BORNEO AB Deforestation and forest degradation are complex and dynamic processes that vary from place to place. They are driven by multiple causes. Local communities are, to some extent, driving and also affected by some of these processes. Can their knowledge aid and add to place-specific assessment and monitoring of Deforestation and forest Degradation (DD) drivers? Our research was conducted in seven villages across three provinces of Indonesia (Papua, West Kalimantan and Central Java). Household surveys and focus group discussions were used to investigate how local community knowledge of DD drivers contributes to place-specific assessment and monitoring of DD drivers. We analyzed the link between drivers and local livelihoods to see how attempts to address deforestation and forest degradation might affect local communities and how this link might influence their participation in climate change mitigation measures such as Reducing Emissions from Deforestation and Forest Degradation (REDD+) and Measuring, Reporting and Verifying (MRV) activities. We found that local knowledge is fundamental to capturing the variety of drivers particularly in countries like Indonesia where forest and socio-economic conditions are diverse. Better understanding of drivers and their importance for local livelihoods will not only contribute to a more locally appropriate design of REDD+ and monitoring systems but will also foster local participation. C1 [Bong, Indah Waty; Felker, Mary Elizabeth] Ctr Int Forestry Res, Jl CIFOR, Bogor 16115, Indonesia. [Maryudi, Ahmad] Univ Gadjah Mada, Fac Forestry, Bulaksumur 55281, Yogyakarta, Indonesia. RP Bong, IW (reprint author), Ctr Int Forestry Res, Jl CIFOR, Bogor 16115, Indonesia. EM i.waty@cgiar.org OI Maryudi, Ahmad/0000-0001-5051-7217 FU U.S. Agency for International Development (USAID) [MT0069018]; Norwegian Agency for Development Cooperation (NORAD) [GL0-3945, QZA 12/0882] FX Our research is funded by :1. The U.S. Agency for International Development (USAID), grant number MT0069018, http://www.usaid.gov/; 2. The Norwegian Agency for Development Cooperation (NORAD), grant number GL0-3945, QZA 12/0882, http://www.norad.no/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. CR Blom B, 2010, ENVIRON SCI POLICY, V13, P164, DOI 10.1016/j.envsci.2010.01.002 Boissiere M, 2014, FORESTS, V5, P1855, DOI 10.3390/f5081855 Brewster J, 2012, COMMUNITY BASED MONI Byron N, 1999, WORLD DEV, V27, P789, DOI 10.1016/S0305-750X(99)00025-X Chhatre A, 2012, CURR OPIN ENV SUST, V4, P654, DOI 10.1016/j.cosust.2012.08.006 Chhatre A, 2009, P NATL ACAD SCI USA, V106, P17667, DOI 10.1073/pnas.0905308106 Christie P, 2005, OCEAN COAST MANAGE, V48, P468, DOI 10.1016/j.ocecoaman.2005.04.006 Curran LM, 2004, SCIENCE, V303, P1000, DOI 10.1126/science.1091714 Danielsen F, 2011, CONSERV LETT, V4, P158, DOI 10.1111/j.1755-263X.2010.00159.x Fisher R., 1997, ASIA PACIFIC FORESTR Force RT, 2012, STRAT IMPL PLAN REDD Fraser EDG, 2006, J ENVIRON MANAGE, V78, P114, DOI 10.1016/j.jenvman.2005.04.009 Fry B, 2011, ENVIRON SCI POLICY, V14, P181, DOI 10.1016/j.envsci.2010.12.004 Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2 Gibbs HK, 2007, ENVIRON RES LETT, V2, DOI 10.1088/1748-9326/2/4/045023 Hawthorne SD, 2014, LIT REV PARTICIPATOR Holck MH, 2008, BIODIVERS CONSERV, V17, P2023, DOI 10.1007/s10531-007-9273-4 Hosonuma N, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044009 Houghton RA, 2012, CURR OPIN ENV SUST, V4, P597, DOI 10.1016/j.cosust.2012.06.006 Huang R., RQDA R BASED QUALITA Indrabudi H, 1998, LAND DEGRAD DEV, V9, P311, DOI 10.1002/(SICI)1099-145X(199807/08)9:4<311::AID-LDR294>3.0.CO;2-X Indrarto GB, 2012, CONTEXT REDD INDONE Joseph S, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034038 Kissinger G, 2012, DRIVERS DEFORESTATIO Kothari C. R., 2011, REMETHODOLOGY METH Langner A, 2007, GLOBAL CHANGE BIOL, V13, P2329, DOI 10.1111/j.1365-2486.2007.01442.x Larrazabal A, 2012, CURR OPIN ENV SUST, V4, P707, DOI 10.1016/j.cosust.2012.10.008 Lawlor K, 2010, GLOBAL ENVIRON POLIT, V10, P1, DOI 10.1162/GLEP_a_00028 Lederer M, 2011, ECOL ECON, V70, P1900, DOI 10.1016/j.ecolecon.2011.02.003 McCall K., 2010, LOCAL PARTICIPATION Microsoft, 2010, MICR EXC Mukama K, 2012, INT J FORESTRY RES, V2011 Murdiyarso D, 2008, ECOHYDROLOGY MAMBERA Olander LP, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/2/025011 Peres CA, 2006, TRENDS ECOL EVOL, V21, P227, DOI 10.1016/j.tree.2006.03.007 Peters-Guarin G, 2010, COMMUNITY CARBON FOR Pratihast AK, 2013, CARBON MANAG, V4, P91, DOI [10.4155/cmt.12.75, 10.4155/CMT.12.75] Rana EB, 2008, INITIATION, V2, P91 Romijn E, 2013, ENVIRON SCI POLICY, V33, P246, DOI 10.1016/j.envsci.2013.06.002 Salvini G, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/7/074004 Sanchez-Azofeifa GA, 2009, ECOL APPL, V19, P480, DOI 10.1890/08-1149.1 Skutsch M., 2011, COMMUNITY FOREST MON Skutsch Margaret M, 2011, Carbon Balance Manag, V6, P16, DOI 10.1186/1750-0680-6-16 Skutsch MM, 2005, CLIM POLICY, V5, P433 Skutsch MM, 2009, CASE STUDIES MEASURI Skutsch MM, 2009, COMMUNITY MONITORING, P101 Verplanke J. J., 2009, FIELD GUIDE ASSESSIN Visseren-Hamakers IJ, 2012, CURR OPIN ENV SUST, V4, P646, DOI 10.1016/j.cosust.2012.10.005 NR 48 TC 3 Z9 3 U1 0 U2 16 PU PUBLIC LIBRARY SCIENCE PI SAN FRANCISCO PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA SN 1932-6203 J9 PLOS ONE JI PLoS One PD NOV 2 PY 2016 VL 11 IS 11 AR e0145330 DI 10.1371/journal.pone.0145330 PG 17 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA EA6DJ UT WOS:000386715500001 PM 27806044 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Muscalu, C Maria, G AF Muscalu, Constantin Maria, Gheorghe TI PARETO OPTIMAL OPERATING SOLUTIONS FOR A CATALYTIC REACTOR FOR BENZENE OXIDATION BASED ON SAFETY INDICES AND AN EXTENDED PROCESS KINETIC MODEL SO REVUE ROUMAINE DE CHIMIE LA English DT Article DE catalytic reactor; Pareto optimal solutions; safety limits; failure probability; uncertainty ID FAILURE PROBABILITY INDEXES; PARAMETRIC UNCERTAINTY; SEMIBATCH REACTOR; BUTANE OXIDATION; SENSITIVITY AB The importance of process safety in every life cycle stage of a (petro)chemical plant is in continuous growth nowadays. The ability of handling highly exothermic reactions conducted in the presence of parametric uncertainty is related to rules and algorithms to find optimal operating policies of the chemical reactor by simultaneously considering several objectives of sustainability: the contrary process optimization objectives involve, besides economic aspects (process yield, reactor productivity), safety characteristics, such as controllability, stability, and runaway risk. During reactor optimization, the safety aspects must always prevail, without disregarding economic aspects. This paper exemplifies an original methodology to generate the Pareto optimal operating policies of a hazardous chemical reactor, when reactor productivity and safety objectives (expressed in probabilistic terms) are simultaneously considered by using the process and reactor model in a simple way, in the. presence of technological constraints, uncertainty in safety boundaries, and random fluctuations in control variables. An example is provided for an industrial fixed-bed tubular reactor, of high thermal sensitivity, used for the catalytic oxidation of benzene to maleic anhydride in vapour phase. Extended process kinetics allows a more accurate determination of the acceptable trade-off between reactor productivity and its safe operation. C1 [Muscalu, Constantin; Maria, Gheorghe] Univ Politehn Bucuresti, Dept Chem & Biochem Engn, PO 35-107, Bucharest, Romania. RP Maria, G (reprint author), PO 35-107, Bucharest, Romania. EM gmaria99m@hotmail.com CR AHMAD SI, 1971, INDIAN J TECHNOL, V9, P251 Dan A, 2014, UNIV POLITEH BUCHAR, V76, P35 Dan A, 2012, CHEM ENG TECHNOL, V35, P1098, DOI 10.1002/ceat.201100706 DIMIAN CA, 2008, CHEM PROCESS DESIGN Froment G. F., 1990, CHEM REACTOR ANAL DE GILLILAND ER, 1974, IND ENG CHEM FUND, V13, P95, DOI 10.1021/i160050a001 Kadam JV, 2007, J PROCESS CONTR, V17, P389, DOI 10.1016/j.jprocont.2006.06.006 KULKARNI BD, 1980, CATAL REV, V22, P431, DOI 10.1080/03602458008067540 LUPUSOR G., 1977, SYNTHESIS AROMATIC I, V1 Maria G., 2007, CHEM PROCESS QUANTIT Maria G, 2014, ASIA-PAC J CHEM ENG, V9, P146, DOI 10.1002/apj.1755 Maria G, 2012, J LOSS PREVENT PROC, V25, P1033, DOI 10.1016/j.jlp.2012.06.007 Maria G, 2012, ASIA-PAC J CHEM ENG, V7, P733, DOI 10.1002/apj.625 Maria G, 2011, COMPUT CHEM ENG, V35, P177, DOI 10.1016/j.compchemeng.2010.05.003 Maria G, 2010, CHEM PAP, V64, P450, DOI 10.2478/s11696-010-0035-5 Muscalu C., 2016, REV CHIMIE IN PRESS Muscalu C, 2015, UNIV POLITEH BUCHAR, V77, P231 Muscalu C, 2015, ENVIRON ENG MANAG J, V14, P2605, DOI 10.30638/eemj.2015.277 SHARMA RK, 1991, AICHE J, V37, P39, DOI 10.1002/aic.690370103 Trambouze P., 1988, CHEM REACTORS DESIGN Varma A, 1999, PARAMETRIC SENSITIVI NR 21 TC 1 Z9 1 U1 0 U2 2 PU EDITURA ACAD ROMANE PI BUCURESTI PA CALEA 13 SEPTEMBRIE NR 13, SECTOR 5, BUCURESTI 050711, ROMANIA SN 0035-3930 J9 REV ROUM CHIM JI Rev. Roum. Chim. PD NOV-DEC PY 2016 VL 61 IS 11-12 BP 881 EP 892 PG 12 WC Chemistry, Multidisciplinary SC Chemistry GA EM0ZU UT WOS:000395047800008 DA 2019-04-09 ER PT J AU Medini, K Boucher, X AF Medini, Khaled Boucher, Xavier TI An approach for steering products and services offering variety towards economic and environmental sustainability SO CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY LA English DT Article DE Offering variety; Sustainability; Production planning; Analytical hierarchy process; Linear programming ID PERFORMANCE-MEASUREMENT SYSTEM; INVENTORY ANALYSIS; GREEN LOGISTICS; OPTIMIZATION; MANAGEMENT AB Customers' individual preferences are calling for greater variety of firms' offerings. Faced with this situation, firms endeavour to meet customer requirements while reducing their costs and impact on the environment to remain competitive. The attainment of these goals entails various issues that must be addressed including multiple performance drivers and criteria relating to environmental and economic sustainability and variety. Accordingly, trade-offs must be defined and balanced among such heterogeneous criteria to facilitate the decision-making process on a variety of levels regarding environmental and economic sustainability. These trade-offs should involve decision makers to reflect the firm's priorities and consider its business field. This paper proposes an approach supporting the decision-making process on offering variety to the market while considering environmental and economic sustainability criteria. More specifically, the approach uses economic and environmental performance indicators and inputs from decision makers to determine the variety of the offering to meet a given demand. The paper highlights the impact of variety steering on environmental and economic sustainability indicators. (C) 2016 CIRP. C1 [Medini, Khaled; Boucher, Xavier] Univ Lyon, Mines St Etienne, Henri Fayol Inst, CNRS,UMR EVS 5600, 158 Cours Fauriel, F-42023 St Etienne, France. RP Medini, K (reprint author), Univ Lyon, Mines St Etienne, Henri Fayol Inst, CNRS,UMR EVS 5600, 158 Cours Fauriel, F-42023 St Etienne, France. EM khaled.medini@emse.fr CR Acero A., 2014, IMPACT ASSESSMENT ME Al-e-Hashem SMJM, 2013, EUR J OPER RES, V230, P26, DOI 10.1016/j.ejor.2013.03.033 Beuren FH, 2013, J CLEAN PROD, V47, P222, DOI 10.1016/j.jclepro.2012.12.028 Blecker T., 2006, International Journal of Mass Customisation, V1, P272 Boer C.R., 2013, MASS CUSTOMIZATION S Boufateh Ines, 2011, International Journal of Business Performance and Supply Chain Modelling, V3, P28, DOI 10.1504/IJBPSCM.2011.039972 Brewer PC, 2001, SUPPLY CHAIN MANAG, V5, P48 Chandra C., 2004, MASS CUSTOMIZATION S De Marsico M, 2011, IEEE T SYST MAN CY C, V41, P481, DOI 10.1109/TSMCC.2010.2060326 Dekker R, 2012, EUR J OPER RES, V219, P671, DOI 10.1016/j.ejor.2011.11.010 den Boer J, 2007, WASTE MANAGE, V27, P1032, DOI 10.1016/j.wasman.2007.02.022 Dey PK, 2013, PROD PLAN CONTROL, V24, P702, DOI 10.1080/09537287.2012.666859 Ehrgott M. A., 2013, ANN OPER RES, V147, P343 Feng T., 2013, PRODUCTION OPERATION, V23, P1985 Folan P, 2005, COMPUT IND, V56, P663, DOI 10.1016/j.compind.2005.03.001 FORTUIN L, 1988, EUR J OPER RES, V34, P1, DOI 10.1016/0377-2217(88)90449-3 Braz RGF, 2011, INT J PROD ECON, V133, P751, DOI 10.1016/j.ijpe.2011.06.003 Ghalayini AM, 1997, INT J PROD ECON, V48, P207, DOI 10.1016/S0925-5273(96)00093-X Goedkoop M, 2001, THE ECOINDICATOR Goedkoop M. J., 1999, PRODUCT SERVICE SYST Guinee J. B, 2002, HDB LIFE CYCLE ASSES Harik R, 2015, INT J PROD RES, V53, P4117, DOI 10.1080/00207543.2014.993773 Heijungs R, 2010, POLYM DEGRAD STABIL, V95, P422, DOI 10.1016/j.polymdegradstab.2009.11.010 Iosif AM, 2008, ENVIRON IMPACT ASSES, V28, P429, DOI 10.1016/j.eiar.2007.10.003 Lohman C, 2004, EUR J OPER RES, V156, P267, DOI 10.1016/s0377-2217(02)00918-9 Medini K, 2015, INT J PROD RES, V53, P2439, DOI 10.1080/00207543.2014.974844 Meier H, 2010, CIRP ANN-MANUF TECHN, V59, P607, DOI 10.1016/j.cirp.2010.05.004 Neto Q. F., 2009, EUR J OPER RES, V193, P647 Nishino N, 2014, CIRP ANN-MANUF TECHN, V63, P421, DOI 10.1016/j.cirp.2014.03.109 Pennington DW, 2004, ENVIRON INT, V30, P721, DOI 10.1016/j.envint.2003.12.009 Pine J., 1993, MASS CUSTOMIZATION N Rebitzer G, 2004, ENVIRON INT, V30, P701, DOI 10.1016/j.envint.2003.11.005 Saaty Thomas L, 2008, International Journal of Services Science, V1, P83, DOI 10.1504/IJSSCI.2008.017590 Samy SN, 2010, INT J COMPUT INTEG M, V23, P1015, DOI 10.1080/0951192X.2010.511652 Sbihi A, 2007, 4OR-Q J OPER RES, V5, P99, DOI 10.1007/s10288-007-0047-3 Tan KH, 2009, INT J PROD ECON, V122, P449, DOI 10.1016/j.ijpe.2009.06.021 ULRICH K, 1995, RES POLICY, V24, P419, DOI 10.1016/0048-7333(94)00775-3 UNEP, 2006, UNEP GUID LIF CYCL M Wang F, 2011, DECIS SUPPORT SYST, V51, P262, DOI 10.1016/j.dss.2010.11.020 Yao JM, 2009, INT J PROD ECON, V117, P197, DOI 10.1016/j.ijpe.2008.10.008 NR 50 TC 2 Z9 2 U1 2 U2 4 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1755-5817 J9 CIRP J MANUF SCI TEC JI CIRP J. Manuf. Sci. Technol. PD NOV PY 2016 VL 15 BP 65 EP 73 DI 10.1016/j.cirpj.2016.04.009 PG 9 WC Engineering, Manufacturing SC Engineering GA EG2UC UT WOS:000390898600007 DA 2019-04-09 ER PT J AU Hertel, TW Baldos, ULC AF Hertel, Thomas W. Baldos, Uris Lantz C. TI Attaining food and environmental security in an era of globalization SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS LA English DT Article DE Globalization; International trade; Food security; Sustainability; Productivity growth; Terrestrial carbon emissions; Postharvest losses; Climate policy ID LAND-USE CHANGE; CLIMATE-CHANGE; TRADE; CROP; INSIGHTS AB Attaining the twin goals of food and environmental security in the coming decades poses a significant sustainability challenge. This paper examines the food and environmental security implications of a range of policies affecting the global food economy and terrestrial ecosystems, first in the context of historically segmented markets, and secondly in a hypothetical future world of fully integrated crop commodity markets. We begin by revisiting history, considering how food production and global land use would have evolved over the period: 1961-2006 in the presence of greater market integration. We find that there would have been greater disparities in regional crop output growth, with regions experiencing higher productivity growth tending to expand more rapidly under this counterfactual experiment. Going forward, greater market integration can be expected to reshape the way we think about future food and environmental security. In the presence of continued market segmentation, strong population growth, accompanied by robust overall income projections, results in exceptionally high demand growth, rising prices and increased non-farm undernutrition in Sub-Saharan Africa (SSA) by 2050. On the other hand, if markets are fully integrated, relative rates of productivity growth become key to the regional composition of world crop output and agricultural production and cropland grow much more slowly in SSA. We explore the implications of four policy initiatives aimed at improving food security and environmental outcomes, including enhanced on-farm productivity and reductions in post-harvest losses in SSA, reductions in food waste in the wealthy economies, and a global terrestrial carbon policy. We also evaluate the potential impacts of climate change under these two trade regimes. Our results suggest that, in some cases, the food and terrestrial implications will be radically different in a more integrated global economy. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Hertel, Thomas W.; Baldos, Uris Lantz C.] Purdue Univ, Ctr Global Trade Anal, Dept Agr Econ, 403 West State St, W Lafayette, IN 47907 USA. [Hertel, Thomas W.] Purdue Climate Change Res Ctr, 203 S Martin Jischke Dr, W Lafayette, IN 47907 USA. RP Hertel, TW (reprint author), Purdue Univ, Ctr Global Trade Anal, Dept Agr Econ, 403 West State St, W Lafayette, IN 47907 USA. EM hertel@purdue.edu FU U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research [DE-SC005171]; USDA-NIFA [IND01053G2, 1003642] FX The authors acknowledge support for the underlying research into the climate-food-energy-land-water nexus from U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Integrated Assessment Research Program, Grant No. DE-SC005171 as well as from USDA-NIFA project IND01053G2 and Hatch project 1003642. CR Alexander P, 2015, GLOBAL ENVIRON CHANG, V35, P138, DOI 10.1016/j.gloenvcha.2015.08.011 Anderson K., 2009, DISTORTIONS AGR INCE Anderson K, 2013, J ECON LIT, V51, P423, DOI 10.1257/jel.51.2.423 Angelsen A., AGR TECHNOLOGIES TRO ARMINGTON PS, 1969, INT MONET FUND S PAP, V16, P159 Arvis J.-F., 2012, WORLD BANK OTHER OPE Baldos U.L.C., 2014, AUSTR J AGR RESOUR E Baldos ULC, 2016, GLOB FOOD SECUR-AGR, V8, P27, DOI 10.1016/j.gfs.2016.03.002 Baldos ULC, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034024 Bondeau Alberte, 2007, BIOLOGY, V13, P679 BOX GEP, 1976, J AM STAT ASSOC, V71, P791, DOI 10.2307/2286841 Bureau J. C., 2016, 201612 CEPII Burgess R, 2010, AM ECON REV, V100, P449, DOI 10.1257/aer.100.2.449 Burney JA, 2010, P NATL ACAD SCI USA, V107, P12052, DOI 10.1073/pnas.0914216107 Davis KF, 2016, GLOBAL ENVIRON CHANG, V39, P125, DOI 10.1016/j.gloenvcha.2016.05.004 Deininger K., 2010, RISING GLOBAL INTERE Delman Edward, 2015, ATLANTIC Duggan Tara, 2016, SFGATE European Commission, 2012, COMM AGR POL STOR CO FAO, 2011, GLOBAL FOOD LOSSES F FAO, 2012, FAO FOOD SEC STAT Food and Agriculture Organization of the United Nations, 2015, FAOSTAT Fuglie KO, 2012, PRODUCTIVITY GROWTH IN AGRICULTURE: AN INTERNATIONAL PERSPECTIVE, P335, DOI 10.1079/9781845939212.0335 Gale F, 2013, 153 USDA EC RES SERV Golub Alla A., 2012, P NATL ACAD SCI Hayami Y., 1985, AGR DEV INT PERSPECT Hertel T.W., 2016, ANN REV RES IN PRESS Hertel T. W., 2016, GLOBAL CHANGE CHALLE Hertel T, 2007, ECON MODEL, V24, P611, DOI 10.1016/j.econmod.2006.12.002 Hertel TW, 2014, P NATL ACAD SCI USA, V111, P13799, DOI 10.1073/pnas.1403543111 Hertel TW, 1997, GLOBAL TRADE ANAL MO Intergovernmental Panel on Climate Change, 2014, CLIM CHANG 2014 IMP Johnson D. Gale, 1973, WORLD AGR DISARRAY D Kaminski Jonathan, 2014, GLOB FOOD SEC SI GFS Kriegler E, 2012, GLOBAL ENVIRON CHANG, V22, P807, DOI 10.1016/j.gloenvcha.2012.05.005 Lambin EF, 2011, P NATL ACAD SCI USA, V108, P3465, DOI 10.1073/pnas.1100480108 Lobell D.B., 2013, ENV RES LETT, V8 Ludena CE, 2007, AGR ECON, V37, P1, DOI 10.1111/j.1574-0862.2007.00218.x Margulis ME, 2013, GLOBALIZATIONS, V10, P1, DOI 10.1080/14747731.2013.764151 Martin GM, 2011, GEOSCI MODEL DEV, V4, P723, DOI 10.5194/gmd-4-723-2011 Martin Will, 1997, URUGUAY ROUND DEV CO Mastrandrea Michael, 2015, IPCC EXPERT M CLIMAT McCalla A.F., 2001, 35 INT FOOD POL RES Muhammad A, 2011, USDA TECHNICAL B, V1929 Murdock L.L., 2014, STORED PROD RES, V58, P3 O'Neill BC, 2014, CLIMATIC CHANGE, V122, P387, DOI 10.1007/s10584-013-0905-2 Parfitt J, 2010, PHILOS T R SOC B, V365, P3065, DOI 10.1098/rstb.2010.0126 Phalan B, 2011, SCIENCE, V333, P1289, DOI 10.1126/science.1208742 Puma MJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/024007 REILLY J, 1994, GLOBAL ENVIRON CHANG, V4, P24, DOI 10.1016/0959-3780(94)90019-1 Rose SK, 2012, ENERG ECON, V34, P365, DOI 10.1016/j.eneco.2011.06.004 Rosenzweig, 2014, PNAS, V111, P3268 Schmitz C, 2014, AGR ECON-BLACKWELL, V45, P69, DOI 10.1111/agec.12090 Stevenson JR, 2013, P NATL ACAD SCI USA, V110, P8363, DOI 10.1073/pnas.1208065110 Suweis S, 2015, P NATL ACAD SCI USA, V112, P6902, DOI 10.1073/pnas.1507366112 Swinnen Johan, 2010, J INT AGR TRADE DEV, V59, P37 Verma M., 2012, UNDER REV CLIM CHANG Vermeulen SJ, 2012, ANNU REV ENV RESOUR, V37, P195, DOI 10.1146/annurev-environ-020411-130608 Villoria N., 2014, AGMIP TOOL GEOSHARE Villoria NB, 2016, ENVIRON MODELL SOFTW, V75, P193, DOI 10.1016/j.envsoft.2015.10.016 Villoria NB, 2011, AM J AGR ECON, V93, P919, DOI 10.1093/ajae/aar025 West Paul C., 2010, P NATL ACAD SCI Wise M, 2009, SCIENCE, V324, P1183, DOI 10.1126/science.1168475 World Bank, 2009, DIR DEV, P1, DOI 10.1596/978-0-8213-7941-7 World Bank, 2015, GLOB EC MON WTO Regional Trade Agreements, 2016, WTO REG TRAD AGR NR 66 TC 4 Z9 4 U1 2 U2 22 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-3780 EI 1872-9495 J9 GLOBAL ENVIRON CHANG JI Glob. Environ. Change-Human Policy Dimens. PD NOV PY 2016 VL 41 BP 195 EP 205 DI 10.1016/j.gloenvcha.2016.10.006 PG 11 WC Environmental Sciences; Environmental Studies; Geography SC Environmental Sciences & Ecology; Geography GA EE6OS UT WOS:000389732700016 DA 2019-04-09 ER PT J AU Hao, LF Qiu, B Cervantes, L AF Hao, Liangfeng Qiu, Bin Cervantes, Lisette TI Does Firms' Innovation Promote Export Growth Sustainably?-Evidence from Chinese Manufacturing Firms SO SUSTAINABILITY LA English DT Article DE innovation; export growth; sustainability; threshold effect ID RESEARCH-AND-DEVELOPMENT; INTERNATIONAL-TRADE; EMPIRICAL-EVIDENCE; PRODUCTIVITY; TECHNOLOGY; QUALITY; PERFORMANCE; INDUSTRY; MODEL; CAPABILITIES AB Recent theoretical analysis and empirical studies have emphasized that firms' innovation could significantly improve export growth. However, the positive effect of innovation on exports is likely to change due to unstable domestic offsetting for innovation and increasing worldwide competition for trade. This study aims to explore the dynamic link between them. We first develop a theoretical model between innovation and export growth based on the theory of heterogeneity. Export growth is measured through the dimensions of extensive margin and intensive margin so as to better investigate the effect of innovation on export performance. The propositions of mechanism analysis reveal that the effect of innovation on exports is non-linear rather than sustainable. An empirical study is followed to test the propositions by using data from a representative panel of Chinese manufacturing firms. Consistent with the theoretical predictions, the results show an inverted U-shaped relationship between innovation and extensive margin and a U-shaped relationship between innovation and intensive margin. The non-linear relations are verified by a threshold effect test. Further study shows less innovation and more firms on the left side of the relation curves. The distribution suggests irregular innovation ability among the exporters. Moreover, the role of innovation is more important for export growth and the corresponding threshold is higher in terms of high technological sectors. The contribution of this study is to introduce a comprehensive framework to investigate the dynamic effect of innovation on export growth, serving as a modest spur to induce the following studies to explore the sustainability of innovation effect. C1 [Hao, Liangfeng; Qiu, Bin; Cervantes, Lisette] Southeast Univ, Sch Econ & Management, Nanjing 210000, Jiangsu, Peoples R China. RP Hao, LF (reprint author), Southeast Univ, Sch Econ & Management, Nanjing 210000, Jiangsu, Peoples R China. EM 230149472@seu.edu.cn; qiubin@seu.edu.cn; lipaoc_28@hotmail.com FU Key Project of National Philosophy and Social Science Foundation of China [15AJY001]; Key Project of National Philosophy and Social Science Foundation of Jiangsu Province, China [14EYA002] FX This work is supported by the Key Project of National Philosophy and Social Science Foundation of China under Grant No. 15AJY001 and the Key Project of National Philosophy and Social Science Foundation of Jiangsu Province, China under Grant No. 14EYA002. We appreciate the constructive suggestions from peer reviewers and the help of editors. Special thanks to 28th CESA Annual Conference at JCU Cairns, Australia for valuable comments and suggestions from other participants. All remaining errors are ours. CR Agnihotri A, 2015, J WORLD BUS, V50, P687, DOI 10.1016/j.jwb.2014.11.001 Aw B.Y., 2005, COMPLEMENTARY ROLE E Aw BY, 2008, AM ECON REV, V98, P451, DOI 10.1257/aer.98.2.451 Bartel A, 2007, Q J ECON, V122, P1721, DOI 10.1162/qjec.2007.122.4.1721 Basile R, 2001, RES POLICY, V30, P1185, DOI 10.1016/S0048-7333(00)00141-4 Becker S.O., 2007, EMPIR ECON, V44, P1 Bernard A.B., 2007, J EC PERSPECT Bernard AB, 2003, AM ECON REV, V93, P1268, DOI 10.1257/000282803769206296 Besedes T, 2011, J DEV ECON, V96, P371, DOI 10.1016/j.jdeveco.2010.08.013 Butos P., 2011, AM ECON REV, V101, P304 Butter F., 2008, SPRINGERLINK J PROD, V30, P201 Butter F.D., 2013, APPL ECON, V45, P4412 Caldera A, 2010, REV WORLD ECON, V146, P657, DOI 10.1007/s10290-010-0065-7 Cassiman B, 2011, J INT BUS STUD, V42, P56, DOI 10.1057/jibs.2010.36 Cassiman Bruno, 2007, PRODUCT INNOVATION E Chen WC, 2013, WORLD ECON, V36, P607, DOI 10.1111/twec.12032 COE DT, 1995, EUR ECON REV, V39, P859, DOI 10.1016/0014-2921(94)00100-E Damijan JP, 2010, WORLD ECON, V33, P374, DOI 10.1111/j.1467-9701.2010.01260.x Dutt P, 2013, J INT ECON, V91, P204, DOI 10.1016/j.jinteco.2013.08.001 Eaton J, 2002, ECONOMETRICA, V70, P1741, DOI 10.1111/1468-0262.00352 Eaton J, 2001, EUR ECON REV, V45, P742, DOI 10.1016/S0014-2921(01)00129-5 Faustino HC, 2015, APPL ECON, V47, P4918, DOI 10.1080/00036846.2015.1039700 Felbermayr GJ, 2006, REV WORLD ECON, V142, P642, DOI 10.1007/s10290-006-0087-3 Filipescu DA, 2013, J INT MARKETING, V21, P23, DOI 10.1509/jim.12.0099 Foster L., 2005, AM ECON REV, V98, P394 Freeman J, 2014, INT MARKET REV, V31, P181, DOI 10.1108/IMR-02-2013-0039 Ganotakis P, 2011, OXFORD ECON PAP, V63, P279, DOI 10.1093/oep/gpq027 Girma S, 2008, REV WORLD ECON, V144, P750, DOI 10.1007/s10290-008-0168-6 Greco M, 2016, EUR MANAG J, V34, P501, DOI 10.1016/j.emj.2016.02.008 GROSSMAN GM, 1991, Q J ECON, V106, P557, DOI 10.2307/2937947 GROSSMAN GM, 1989, J POLIT ECON, V97, P1261, DOI 10.1086/261653 Hansen BE, 1999, J ECONOMETRICS, V93, P345, DOI 10.1016/S0304-4076(99)00025-1 Harris R.I., INNOVATION EXPORTING Hausmann R, 2007, J ECON GROWTH, V12, P1, DOI 10.1007/s10887-006-9009-4 Helpman E, 2008, Q J ECON, V123, P441, DOI 10.1162/qjec.2008.123.2.441 Hummels D, 2005, AM ECON REV, V95, P704, DOI 10.1257/0002828054201396 Imbriani C, 2014, J INT TRADE ECON DEV, V23, P1089, DOI 10.1080/09638199.2013.831944 Imbs J, 2003, AM ECON REV, V93, P63, DOI 10.1257/000282803321455160 Jakob B.M., 2008, OXF EC PAP, V60, P143 Keller W, 2004, J ECON LIT, V42, P752, DOI 10.1257/0022051042177685 Klepper S, 1996, AM ECON REV, V86, P562 KRUGMAN P, 1979, J POLIT ECON, V87, P253, DOI 10.1086/260755 Kugler M., 2008, QUALITY COMPLEMENTAR Lachenmaier S, 2006, OXFORD ECON PAP, V58, P317, DOI 10.1093/oep/gpi043 Levinsohn J, 2003, REV ECON STUD, V70, P317, DOI 10.1111/1467-937X.00246 Long C, 2012, CHINA ECON REV, V23, P593, DOI 10.1016/j.chieco.2011.09.002 Ferreras-Mendez JL, 2015, IND MARKET MANAG, V47, P86, DOI 10.1016/j.indmarman.2015.02.038 Matthieu C., 2010, CAN J ECON, V43, P41 Melitz MJ, 2003, ECONOMETRICA, V71, P1695, DOI 10.1111/1468-0262.00467 Olley GS, 1996, ECONOMETRICA, V64, P1263, DOI 10.2307/2171831 Rasiah R, 2016, TECHNOL FORECAST SOC, V109, P69, DOI 10.1016/j.techfore.2016.05.015 Riding A, 2012, SMALL BUS ECON, V38, P147, DOI 10.1007/s11187-009-9259-6 Roberts MJ, 1997, AM ECON REV, V87, P545 Rodil O., 2015, TECHNOL FORECAST SOC Schott PK, 2008, ECON POLICY, P6 Serrasqueiro ZS, 2008, SMALL BUS ECON, V31, P195, DOI 10.1007/s11187-007-9092-8 Verhoogen EA, 2008, Q J ECON, V123, P489, DOI 10.1162/qjec.2008.123.2.489 Wagner J, 2007, WORLD ECON, V30, P60, DOI 10.1111/j.1467-9701.2007.00872.x West J, 2014, J PROD INNOVAT MANAG, V31, P814, DOI 10.1111/jpim.12125 Yeaple SR, 2005, J INT ECON, V65, P1, DOI 10.1016/j.jinteco.2004.01.001 Yi JT, 2013, INT BUS REV, V22, P392, DOI 10.1016/j.ibusrev.2012.05.006 NR 61 TC 0 Z9 0 U1 2 U2 23 PU MDPI AG PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD NOV PY 2016 VL 8 IS 11 AR 1173 DI 10.3390/su8111173 PG 20 WC GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA EE1BS UT WOS:000389316200093 OA DOAJ Gold DA 2019-04-09 ER PT J AU Millones, M Parmentier, B Rogan, J Schmook, B AF Millones, Marco Parmentier, Benoit Rogan, John Schmook, Birgit TI Using Food Flow Data to Assess Sustainability: Land Use Displacement and Regional Decoupling in Quintana Roo, Mexico SO SUSTAINABILITY LA English DT Article DE food flows; land use displacement; environmental impact; consumption; agriculture; livestock; Yucatan ID FOREST TRANSITION; GLOBAL DISPLACEMENT; FLORIDA EVERGLADES; CHANGE SCIENCE; DEFORESTATION; TRADE; GLOBALIZATION; CONSERVATION; MIGRATION; DRIVERS AB Food flow data provide unique insights into the debates surrounding the sustainability of land based production and consumption at multiple scales. Trade flows disguise the spatial correspondence of production and consumption and make their connection to land difficult. Two key components of this spatial disjuncture are land use displacement and economic regional decoupling. By displacing the environmental impact associated with food production from one region to another, environmental trajectories can falsely appear to be sustainable at a particular site or scale. When regional coupling is strong, peripheral areas where land based production occurs are strongly linked and proximate to consumption centers, and the environmental impact of production activities is visible. When food flows occur over longer distances, regional coupling weakens, and environmental impact is frequently overlooked. In this study, we present an analysis of a locally collected food flow dataset containing agricultural and livestock products transported to and from counties in Quintana Roo (QRoo). QRoo is an extensively forested border state in southeast Mexico, which was fully colonized by the state and non-native settlers only in the last century and now is home to some of the major tourist destinations. To approximate land displacement and regional decoupling, we decompose flows to and from QRoo by (1) direction; (2) product types and; (3) scale. Results indicate that QRoo is predominantly a consumer state: incoming flows outnumber outgoing flows by a factor of six, while exports are few, specialized, and with varied geographic reach (Yucatan, south and central Mexico, USA). Imports come predominantly from central Mexico. Local production in QRoo accounts for a small portion of its total consumption. In combining both subsets of agricultural and livestock products, we found that in most years, land consumption requirements were above 100% of the available land not under conservation in QRoo, suggesting unsustainable rates of land consumption in a ' business as usual ' scenario. We found evidence of economic regional decoupling at the state level. C1 [Millones, Marco] Univ Mary Washington, Dept Geog, 1301 Coll Ave, Fredericksburg, VA 23219 USA. [Parmentier, Benoit] Univ Maine, Sustainabil Solut Initiat, Mitchell Ctr, 5710 Norman Smith Hall, Orono, ME 04469 USA. [Rogan, John] Clark Univ, Grad Sch Geog, 950 Main St, Worcester, MA 01610 USA. [Schmook, Birgit] Colegio Frontera Sur, Av Centenario Km 5-5, Quintana Roo 77014, Mexico. RP Millones, M (reprint author), Univ Mary Washington, Dept Geog, 1301 Coll Ave, Fredericksburg, VA 23219 USA. EM mmillone@umw.edu; benoit.parmentier@maine.edu; jrogan@clarku.edu; bschmook@ecosur.mx OI Schmook, Birgit/0000-0001-5775-0310 CR Alexander P, 2015, GLOBAL ENVIRON CHANG, V35, P138, DOI 10.1016/j.gloenvcha.2015.08.011 Angelsen A., 2007, 4117 WORLD BANK Bray D. B., 2011, BOSQUES COMUNITARIOS Bruckner M, 2015, ECOL ECON, V114, P11, DOI 10.1016/j.ecolecon.2015.03.008 Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106 Chaudhary A, 2016, GLOBAL ENVIRON CHANG, V38, P195, DOI 10.1016/j.gloenvcha.2016.03.013 Coll-Hurtado A., 2004, AGR MEXICO ATLAS BLA Colunga-Garcia C., 2003, NATURALEZA SOC AREA Cordoba Ordonez J., 2000, ANALES GEOGRAFIA U C, V20, P235 Cordoba Ordonez J, 1999, ANALES GEOGRAFIA U C, V19, P47 D'Odorico P, 2014, EARTHS FUTURE, V2, P458, DOI 10.1002/2014EF000250 Davis KF, 2015, EARTHS FUTURE, V3, P298, DOI 10.1002/2014EF000281 DeFries RS, 2004, FRONT ECOL ENVIRON, V2, P249, DOI 10.2307/3868265 Eastmond A., 1999, ATLAS PROCESOS TERRI Emel J, 2011, GLOBAL POLITICAL ECOLOGY, P67 FARRIS Nancy, 1984, MAYA SOC COLONIAL RU Flachenberg H., 1998, TIMBER TOURISTS TEMP Foster D. R., 2004, INTEGRATED LAND CHAN Friis C., 2010, LAND GRAB AFRICA EME Grau R, 2013, CURR OPIN ENV SUST, V5, P477, DOI 10.1016/j.cosust.2013.06.001 Hecht S., 2004, LIBERATION ECOLOGIES Hernandez Aguilar M. L., 2004, DISTRIBUCION TERRITO Hubacek K, 2016, J IND ECOL, V20, P382, DOI 10.1111/jiec.12463 Islebe GA, 2015, BIODIVERSITY AND CONSERVATION OF THE YUCATAN PENINSULA, P1, DOI 10.1007/978-3-319-06529-8 Jutila S. T., 1973, PAPERS REGIONAL SCI, V30, P39 Kastner T, 2012, P NATL ACAD SCI USA, V109, P6868, DOI 10.1073/pnas.1117054109 Keys E, 2005, GEOGR REV, V95, P24 Klepeis P, 2003, LAND DEGRAD DEV, V14, P541, DOI 10.1002/ldr.583 Klepeis P, 2003, ECON GEOGR, V79, P221 Klepeis P, 2001, LAND USE POLICY, V18, P27, DOI 10.1016/S0264-8377(00)00043-0 Klooster D, 2003, PROF GEOGR, V55, P227 LUTZ W, 2000, POPULATION DEV ENV Y Macias Zapata G. A., 2003, CTR INV EST SUP ANTR Macias Zapata G. A., 2002, PENINSULA FRACTURADA MATHER AS, 1992, AREA, V24, P367 Mather AS, 1998, AREA, V30, P117, DOI 10.1111/j.1475-4762.1998.tb00055.x Meyfroidt P, 2013, CURR OPIN ENV SUST, V5, P438, DOI 10.1016/j.cosust.2013.04.003 Meyfroidt P, 2010, P NATL ACAD SCI USA, V107, P20917, DOI 10.1073/pnas.1014773107 Meyfroidt P, 2009, P NATL ACAD SCI USA, V106, P16139, DOI 10.1073/pnas.0904942106 Millones M., 2006, THESIS Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004 Paturnau J. M., ALTERNATIVE USES SUG Perz SG, 2007, PROF GEOGR, V59, P105, DOI 10.1111/j.1467-9272.2007.00594.x Phalan B, 2011, SCIENCE, V333, P1289, DOI 10.1126/science.1208742 Primack B., 1988, TIMBER TOURISTS TEMP Radel C, 2008, J LAT AM GEOGR, V7, P59, DOI 10.1353/lag.0.0001 Rounsevell MDA, 2012, LAND USE POLICY, V29, P899, DOI 10.1016/j.landusepol.2012.01.007 Rudel TK, 2009, P NATL ACAD SCI USA, V106, P20675, DOI 10.1073/pnas.0812540106 Rudel TK, 2005, GLOBAL ENVIRON CHANG, V15, P23, DOI 10.1016/j.gloenvcha.2004.11.001 Rueda X, 2010, REG ENVIRON CHANGE, V10, P175, DOI 10.1007/s10113-010-0115-7 SAGARPA, 2010, DIAGN AGR FOR PESQ E Schmook B, 2008, HUM ECOL, V36, P891, DOI 10.1007/s10745-008-9207-0 Schneider L., 2006, Agricultural and Resource Economics Review, V35, P167 Seto K. C., 2009, LINKAGES SUSTAINABIL Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109 Sikor T, 2013, CURR OPIN ENV SUST, V5, P522, DOI 10.1016/j.cosust.2013.06.006 Steffen W., 2004, GLOBAL CHANGE EARTH Torres RM, 2005, ANN ASSOC AM GEOGR, V95, P314, DOI 10.1111/j.1467-8306.2005.00462.x Torres Rojo J. M., 2004, ESTUDIO TENDENCIAS P Turner BL, 2007, P NATL ACAD SCI USA, V104, P20666, DOI 10.1073/pnas.0704119104 Turner BL, 2010, LAND USE POLICY, V27, P170, DOI 10.1016/j.landusepol.2009.03.006 TURNER MG, 1989, ANNU REV ECOL SYST, V20, P171, DOI 10.1146/annurev.es.20.110189.001131 Villalobos Gonzales M. H., 2006, BOSQUE SITIADO ASALT Von Thunen J. H., 1966, VONTHUNENS ISOLATED Wackernagel M., 1996, OUR ECOLOGICAL FOOTP Walker R, 2004, ANN ASSOC AM GEOGR, V94, P311, DOI 10.1111/j.1467-8306.2004.09402010.x Walker R, 2001, ECOL ECON, V37, P357, DOI 10.1016/S0921-8009(01)00178-1 Walker R. T., 1997, Urban Ecosystems, V1, P37, DOI 10.1023/A:1014311116523 Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 NR 69 TC 1 Z9 1 U1 1 U2 11 PU MDPI PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD NOV PY 2016 VL 8 IS 11 AR 1145 DI 10.3390/su8111145 PG 20 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA EE1BS UT WOS:000389316200065 OA DOAJ Gold DA 2019-04-09 ER PT J AU Ding, HP Zhao, QL An, ZR Tang, O AF Ding, Huiping Zhao, Qilan An, Zhirong Tang, Ou TI Collaborative mechanism of a sustainable supply chain with environmental constraints and carbon caps SO INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS LA English DT Article; Proceedings Paper CT 18th International Symposium on Inventories CY AUG 18-22, 2014 CL Budapest, HUNGARY SP Int Soc Inventory Res DE Supply chain; Carbon emission; Environmental constraint; Collaborative; Profit allocation ID TRIPLE BOTTOM-LINE; MANAGEMENT; PERFORMANCE; NETWORK; IMPACT; DRIVERS; MODEL AB Negative impacts on environment such as carbon emissions and pollution resulting from the business activities of firms in a supply chain have attracted great attention worldwide. Hence, one of the crucial issues for supply chain management is the trade-off between economic objectives and environmental sustainability. This paper focuses on investigating the government policy incentive mechanism, with which supply chain members are motivated to work collaboratively to reduce carbon and pollutant emissions by investing in producing environmental-friendly products (EFP). Such a mechanism affects the transfer price through negotiation between the supply chain firms, and consequently it has an impact on the supply chain's value transition and profit allocation. A collaborative supply chain decision-making framework is formulated with environmental constraints and carbon caps; its objective is to maximize the net present value of an integrated supply chain as well as satisfy the interests of its individual members. Our key contribution lies in exploring a decision-making mechanism for an environmentally sustainable supply chain that is jointly constrained by environmental carrying capacities and carbon caps, and also takes into account government policy incentives. The results show that collaboration between supply chain members plays a crucial role in improving their environmental performance, as the transfer price is determined through negotiations to share government subsidies to satisfy the individual interests of supply chain members while the level of pollutants and carbon emissions are in compliance with environmental standards.(C) 2016 Elsevier B.V. All rights reserved. C1 [Ding, Huiping; Zhao, Qilan; An, Zhirong] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China. [Tang, Ou] Linkoping Univ, Dept Management & Engn, S-58183 Linkoping, Sweden. RP Ding, HP (reprint author), Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China. EM hpding@bjtu.edu.cn CR Abdallah T, 2012, APPL MATH MODEL, V36, P4271, DOI 10.1016/j.apm.2011.11.056 Ageron B, 2012, INT J PROD ECON, V140, P168, DOI 10.1016/j.ijpe.2011.04.007 Alvarez G, 2010, SUPPLY CHAIN MANAG, V15, P165, DOI 10.1108/13598541011028769 Bai C, 2010, INT J PROD ECON, V124, P252, DOI 10.1016/j.ijpe.2009.11.023 Barari S, 2012, EXPERT SYST APPL, V39, P2965, DOI 10.1016/j.eswa.2011.08.158 Barker TJ, 2011, OMEGA-INT J MANAGE S, V39, P558, DOI 10.1016/j.omega.2010.12.002 Beske P, 2008, CORP SOC RESP ENV MA, V15, P63, DOI 10.1002/csr.136 Bowen FE., 2001, GREENER MANAGEMENT I, V35, P41 Cachon G. P., 2001, HDB OPERATIONS RES M, P2 Chaabane A, 2012, INT J PROD ECON, V135, P37, DOI 10.1016/j.ijpe.2010.10.025 Chaabane A, 2011, PROD PLAN CONTROL, V22, P727, DOI 10.1080/09537287.2010.543554 Devika K, 2014, EUR J OPER RES, V235, P594, DOI 10.1016/j.ejor.2013.12.032 Diabat A, 2009, IN C IND ENG ENG MAN, P523, DOI 10.1109/IEEM.2009.5373289 Ding HP, 2014, J CLEAN PROD, V66, P128, DOI 10.1016/j.jclepro.2013.10.018 Ding HP, 2011, INT J PROD ECON, V133, P70, DOI 10.1016/j.ijpe.2010.06.015 Elkington J, 1997, CANNIBALS FORKS TRIP Formentini M., 2015, J CLEAN PROD Geoffrey J., 2001, INT FOOD AGRIBUS MAN, V4, P399, DOI [10.1016/S1096-7508(02)00068-X, DOI 10.1016/S1096-7508(02)00068-X] Gimenez C, 2012, INT J PROD ECON, V140, P149, DOI 10.1016/j.ijpe.2012.01.035 Giunipero LC, 2012, J PURCH SUPPLY MANAG, V18, P258, DOI 10.1016/j.pursup.2012.06.003 Gold S, 2010, CORP SOC RESP ENV MA, V17, P230, DOI 10.1002/csr.207 Gopalakrishnan K, 2012, INT J PROD ECON, V140, P193, DOI 10.1016/j.ijpe.2012.01.003 Ilgin MA, 2010, J ENVIRON MANAGE, V91, P563, DOI 10.1016/j.jenvman.2009.09.037 Jaffe AB, 2002, ENVIRON RESOUR ECON, V22, P41, DOI 10.1023/A:1015519401088 King A, 2002, MANAGE SCI, V48, P289, DOI 10.1287/mnsc.48.2.289.258 Klassen RD, 2003, PROD OPER MANAG, V12, P336 Klassen RD, 2012, INT J PROD ECON, V140, P103, DOI 10.1016/j.ijpe.2012.01.021 Kumar A, 2014, OMEGA-INT J MANAGE S, V42, P109, DOI 10.1016/j.omega.2013.04.003 Large RO, 2011, J PURCH SUPPLY MANAG, V17, P176, DOI 10.1016/j.pursup.2011.04.006 Lee KH, 2015, INT J PROD ECON, V167, P1, DOI 10.1016/j.ijpe.2015.05.018 Letmathe P, 2005, EUR J OPER RES, V167, P398, DOI 10.1016/j.ejor.2004.04.025 Ltibbe-Wolff G., 2001, J ENVIRON LAW, V13, P79 Mallidis I, 2012, J TRANSP GEOGR, V22, P118, DOI 10.1016/j.jtrangeo.2011.12.007 Mitra S, 2008, INT J PROD ECON, V111, P287, DOI 10.1016/j.ijpe.2007.02.042 Norman W, 2004, BUS ETHICS Q, V14, P243, DOI 10.5840/beq200414211 Pagell M, 2009, J SUPPLY CHAIN MANAG, V45, P37, DOI 10.1111/j.1745-493X.2009.03162.x Radulescu M, 2009, EUR J OPER RES, V193, P730, DOI 10.1016/j.ejor.2007.05.057 RUBINSTEIN A, 1982, ECONOMETRICA, V50, P97, DOI 10.2307/1912531 Sarkis J, 2011, INT J PROD ECON, V130, P1, DOI 10.1016/j.ijpe.2010.11.010 Silvestre BS, 2015, INT J PROD ECON, V167, P156, DOI 10.1016/j.ijpe.2015.05.025 Sommerville M, 2010, ECOL ECON, V69, P1262, DOI 10.1016/j.ecolecon.2009.11.005 Sundarakani B, 2010, INT J PROD ECON, V128, P43, DOI 10.1016/j.ijpe.2010.01.018 Thomas W, 2009, ECON DEV Q, V23, P329, DOI 10.1177/0891242409343184 Tseng SC, 2014, J ENVIRON MANAGE, V133, P315, DOI 10.1016/j.jenvman.2013.11.023 Vachon S, 2008, INT J PROD ECON, V111, P299, DOI 10.1016/j.ijpe.2006.11.030 Vermeulen WJV, 2009, SUSTAIN DEV, V17, P269, DOI 10.1002/sd.422 Walker Helen, 2008, Journal of Purchasing and Supply Management, V14, P69, DOI 10.1016/j.pursup.2008.01.007 Walton S.V., 1998, INT J PURCHASING MAT, V34, P2, DOI DOI 10.1111/J.1745-493X.1998.TB00042.X Weber TA, 2010, J ENVIRON ECON MANAG, V60, P115, DOI 10.1016/j.jeem.2010.04.004 Yalabik B, 2011, INT J PROD ECON, V131, P519, DOI 10.1016/j.ijpe.2011.01.020 Zailani S, 2012, INT J PROD ECON, V140, P330, DOI 10.1016/j.ijpe.2012.02.008 Zhang B, 2013, INT J PROD ECON, V144, P118, DOI 10.1016/j.ijpe.2013.01.024 NR 52 TC 16 Z9 16 U1 10 U2 54 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0925-5273 EI 1873-7579 J9 INT J PROD ECON JI Int. J. Prod. Econ. PD NOV PY 2016 VL 181 SI SI BP 191 EP 207 DI 10.1016/j.ijpe.2016.03.004 PN A PG 17 WC Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science SC Engineering; Operations Research & Management Science GA ED7ZJ UT WOS:000389091000020 DA 2019-04-09 ER PT J AU Wang, MZ Liu, JL Chan, HL Choi, TM Yue, XH AF Wang, Mingzheng Liu, Junling Chan, Hau-Ling Choi, Tsan-Ming Yue, Xiaohang TI Effects of carbon tariffs trading policy on duopoly market entry decisions and price competition: Insights from textile firms of developing countries SO INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS LA English DT Article DE International trade; Game theoretic analysis; Sustainability; Carbon tariffs; Price competition model; Game theory ID PRODUCT DIFFERENTIATION; CLIMATE-CHANGE; QUANTITIES; COST AB Some developed countries are considering to implement a controversial climate policy called the carbon tariffs policy on the developing-country firms which produce in their own countries and transport goods, such as textiles, to the developed-country markets. This policy has significant impacts on international trade and business. To examine this policy, we consider the scenario in which a developing-country firm and a developed-country firm both manufacture the same type of textile products (which are differentiated but partially substituted). Thus, the cost differences between these two firms establish a price competition model. This model is solved through a two-stage game, where each firm chooses its emissions reduction technology in the first stage and decides its price in the second stage. We explore the effects of carbon tariffs on developing-country firms and offer coping strategies for them. Furthermore, the effects of carbon tariffs on total carbon emissions and global social welfare are also analyzed. We conclude that: (i) carbon tariffs greatly threaten the survival of developing-country firms in the developed-country market; (ii) both total carbon emissions and global social welfare are reduced in the presence of carbon tariffs; (iii) the textile firms of developing countries should make efforts to (1) choose the appropriate technology for emissions reduction, (2) reduce their cost of emissions reduction and (3) reduce the product differences with those developed-country firms. (C) 2015 Elsevier B.V. All rights reserved. C1 [Wang, Mingzheng; Liu, Junling] Dalian Univ Technol, Sch Management Sci & Engn, Dalian 116024, Peoples R China. [Chan, Hau-Ling; Choi, Tsan-Ming] Hong Kong Polytech Univ, Inst Text & Clothing, Kowloon, Hong Kong, Peoples R China. [Yue, Xiaohang] Univ Wisconsin, Sheldon B Lubar Sch Business, Milwaukee, WI 53201 USA. RP Choi, TM (reprint author), Hong Kong Polytech Univ, Inst Text & Clothing, Kowloon, Hong Kong, Peoples R China. EM jason.choi@polyu.edu.hk RI Choi, Tsan-Ming/P-6065-2014 OI Choi, Tsan-Ming/0000-0003-3865-7043 FU National Natural Science Foundation of China [71171027]; Foundation for Innovative Research Groups of the National Natural Science Foundation of China [71421001]; Key project of the National Natural Science Foundation of China [71431002]; Program for New Century Excellent Talents in University in Ministry of Education [NCET-12-0081]; Fundamental Research Funds for the Central Universities [DUT15YQ102]; Hong Kong Polytechnic University [G-UA1Q] FX The authors sincerely thank the editor, and the anonymous reviewers for their kind comments which led to improvements of this paper. Mingzheng Wang's research is partially supported by the National Natural Science Foundation of China (No.71171027), the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (No. 71421001), the Key project of the National Natural Science Foundation of China (No. 71431002) and the Program for New Century Excellent Talents in University in Ministry of Education (NCET-12-0081) and and the Fundamental Research Funds for the Central Universities (No. DUT15YQ102). Tsan-Ming Choi's research is partially supported by The Hong Kong Polytechnic University (Project no.: G-UA1Q). CR Antimiani A., 2011, WORKING PAPER Atasu A, 2013, PROD OPER MANAG, V22, P382, DOI 10.1111/j.1937-5956.2012.01364.x Banister J, 2011, MON LABOR REV, V134, P39 Bohringer C., 2014, 252014 ZENTRA Caro F, 2012, MANAGE SCI, V58, P1357, DOI 10.1287/mnsc.1110.1489 Chen H.-L., 2006, CLOTH TEXT RES J, V24, P248, DOI DOI 10.1177/0887302X06293065) Choi T.M., 2013, TRANSPORT RES B-LOG, V55 Clinton WJ, 1993, FED REGISTER, V58, P51735 Conrad K, 2005, ENVIRON RESOUR ECON, V31, P1, DOI 10.1007/s10640-004-6977-8 Craig A.J., 2012, WORKING PAPER Dong C., 2014, ANN OPER RES Drake D.F., 2012, 201237 HARV BUS SCH Drake D.F., 2012, 1302137 HARV BUS SCH European Commission, 2014, RED EM AV GABSZEWICZ JJ, 1979, J ECON THEORY, V20, P340 Govindan K., 2015, J CLEAN PROD Greenstone M, 2013, REV ENV ECON POLICY, V7, P23, DOI 10.1093/reep/res015 Gros D., 2009, 2790 CESIFO Herszenhorn David M., 2010, NY TIMES Hilbler M., 2012, ENERG POLICY, V50, P315 Hitchcock T, 2012, SUPPLY CHAIN MANAG, V17, P98, DOI 10.1108/13598541211212249 Ismer Roland, 2007, EUROPEAN J LAW EC, V24, P137, DOI DOI 10.1007/S10657-007-9032-8 Krass D, 2013, PROD OPER MANAG, V22, P1035, DOI 10.1111/poms.12023 Krysiak FC, 2008, J PUBLIC ECON, V92, P1275, DOI 10.1016/j.jpubeco.2007.11.003 Kumar A., 2012, WIR COMM NETW C WCNC, P2384 Lerner AP, 1934, REV ECON STUD, V2, P152 Li L, 2012, PROD OPER MANAG, V21, P747, DOI 10.1111/j.1937-5956.2011.01304.x Li P., 2010, P 2 INT C INF SCI EN, P3255 Lotfi MH, 2012, ANN ALLERTON CONF, P708, DOI 10.1109/Allerton.2012.6483288 Mark Skidmore, 2012, WORKING PAPER MOORTHY KS, 1988, MARKET SCI, V7, P141, DOI 10.1287/mksc.7.2.141 Moser AJ, 2011, VERMONT JEL, V12, P675 Narita D, 2010, J ENVIRON PLANN MAN, V53, P371, DOI 10.1080/09640561003613138 NORDHAUS WD, 1993, AM ECON REV, V83, P313 Pang Y., 2011, P 2 INT C ART INT MA, P5341 Perdikaki O, 2013, PROD OPER MANAG, V22, P857, DOI 10.1111/j.1937-5956.2012.01392.x Plambeck EL, 1996, ENERG POLICY, V24, P783, DOI 10.1016/0301-4215(96)00064-X Plambeck EL, 2012, ENERG ECON, V34, pS64, DOI 10.1016/j.eneco.2012.08.031 REQUATE T., 1998, EUROPEAN J POLITICAL, V14, P139 Shen B, 2014, SUSTAINABILITY-BASEL, V6, P6236, DOI 10.3390/su6096236 Shen KT, 2010, FINANCE TRADE EC, V1, P75 SPENCE M, 1976, AM ECON REV, V66, P407 United States Department of Labor / Bureau of Labor Statistics, 2013, INT COMP HOURL COMP Veel PE, 2009, J INT ECON LAW, V12, P749, DOI 10.1093/jiel/jgp031 Wang MZ, 2015, IEEE T SYST MAN CY-S, V45, P1413, DOI 10.1109/TSMC.2015.2411577 Weber CL, 2008, ENERG POLICY, V36, P3572, DOI 10.1016/j.enpol.2008.06.009 WEITZMAN ML, 1974, REV ECON STUD, V41, P477, DOI 10.2307/2296698 Winchester N, 2011, BE J ECON ANAL POLI, V11 Xu M, 2009, ENVIRON SCI TECHNOL, V43, P3378, DOI 10.1021/es803142v Xue B, 2013, ECOLOGICAL INDICATOR, V38, P272 Zabaniotou A, 2010, J CLEAN PROD, V18, P784, DOI 10.1016/j.jclepro.2010.01.006 Zhao JH, 2003, J PUBLIC ECON, V87, P2765, DOI 10.1016/S0047-2727(02)00135-4 Zhu QH, 2013, J CLEAN PROD, V40, P6, DOI 10.1016/j.jclepro.2010.09.017 NR 53 TC 6 Z9 7 U1 7 U2 46 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0925-5273 EI 1873-7579 J9 INT J PROD ECON JI Int. J. Prod. Econ. PD NOV PY 2016 VL 181 SI SI BP 470 EP 484 DI 10.1016/j.ijpe.2015.07.025 PN B PG 15 WC Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science SC Engineering; Operations Research & Management Science GA ED7ZL UT WOS:000389091200020 DA 2019-04-09 ER PT J AU Larondelle, N Frantzeskaki, N Haase, D AF Larondelle, Neele Frantzeskaki, Niki Haase, Dagmar TI Mapping transition potential with stakeholder- and policy-driven scenarios in Rotterdam City SO ECOLOGICAL INDICATORS LA English DT Article DE Land-use scenarios; Rotterdam; Transition detection; Urban; Visions; Places for transition experiments ID LOW-CARBON CITIES; ECOSYSTEM SERVICES; SUSTAINABILITY TRANSITIONS; GREEN ROOF; URBAN; IMPACTS; GERMANY; URBANIZATION; NETHERLANDS; ENVIRONMENT AB This paper introduces a mapping approach to identify hot- and hard-spots for sustainability transition in cities by analyzing different stakeholder- and policy-driven land-use scenarios in Rotterdam City, the Netherlands. Rotterdam's sustainability office initiated a knowledge co-production process in which visions and transition pathways for the sustainable and resilient future of Rotterdam, considering existing challenges and opportunities, were co-created. These scenarios were analyzed using a straightforward scenario approach to spatially identify, map and analyze change. By mapping change, trade-offs and synergies between different land-use options among the scenarios, this study disentangles the complexity of a stakeholder co-production process and is able to discover crucial transition areas. Furthermore, multiple urban ecosystem services were valued for each scenario, and environmental impacts could be detected for all of the different visions. The mapping approach applied is a good method to communicate the consequences of induced land-use change back to stakeholders and decision-makers and thus contributes to the visual loop of real co-design. Identifying the hot-spots of change enables attention to be drawn to the most rewarding areas for transition, and moreover, it shows areas in which different visions are not conflicting but rather cross-benefiting each other. Additionally, hard-spots or areas in which existing visions contradict each other show that careful mediation and the revision of change options might be the way to go. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Larondelle, Neele; Haase, Dagmar] Humboldt Univ, Inst Geog, Berlin, Germany. [Larondelle, Neele] Potsdam Inst Climate Impact Res, Potsdam, Germany. [Frantzeskaki, Niki] Erasmus Univ, Dutch Res Inst Transit, Fac Social Sci, Rotterdam, Netherlands. [Haase, Dagmar] UFZ Helmholtz Ctr Environm Res, Leipzig, Germany. RP Larondelle, N (reprint author), Potsdam Inst Climate Impact Res, Potsdam, Germany. EM neele.larondelle@pik-potsdam.de OI Frantzeskaki, Niki/0000-0002-6983-448X; Larondelle, Neele/0000-0003-2064-1713 FU EU/BMBF; NWO; EU project GREENSURGE [603567] FX We thank the two anonymous reviewers for their helpful comments, the URBES team for their cooperation, the Biodiversa Programme of the EU, and the national funding agencies EU/BMBF (German side) and the NWO (Dutch side) for funding the project. This work was further supported by the EU project GREENSURGE (grant agreement no.: 603567). CR Bettencourt LMA, 2007, P NATL ACAD SCI USA, V104, P7301, DOI 10.1073/pnas.0610172104 Bowler DE, 2010, LANDSCAPE URBAN PLAN, V97, P147, DOI 10.1016/j.landurbplan.2010.05.006 Bulkeley H, 2012, T I BR GEOGR, P1 Coenen L, 2012, EUR PLAN STUD, V20, P367, DOI 10.1080/09654313.2012.651802 Cotter M, 2014, ECOL INDIC, V36, P779, DOI 10.1016/j.ecolind.2013.01.017 Cowling RM, 2008, P NATL ACAD SCI USA, V105, P9483, DOI 10.1073/pnas.0706559105 Davies ZG, 2011, J APPL ECOL, V48, P1125, DOI 10.1111/j.1365-2664.2011.02021.x Doick KJ, 2009, URBAN FOR URBAN GREE, V8, P163, DOI 10.1016/j.ufug.2009.05.002 European Commission, 2011, MAPP GUID EUR URB AT Florida R., 2003, CITY COMMUNITY, V2, P3, DOI DOI 10.1111/1540-6040.00034 Frantzeskaki N., 2016, ENV SCI POLLICY Frantzeskaki N, 2014, AMBIO, V43, P542, DOI 10.1007/s13280-014-0512-0 Frantzeskaki N, 2014, J CLEAN PROD, V65, P406, DOI 10.1016/j.jclepro.2013.09.023 Frantzeskaki N, 2009, FUTURES, V41, P593, DOI 10.1016/j.futures.2009.04.009 Gautam BR, 2015, ENERG BUILDINGS, V86, P735, DOI 10.1016/j.enbuild.2014.10.038 Gemeente Rotterdam, 2011, ROTT EUR GREEN CAP 2 Gemeente Rotterdam, 2013, UITW VIS OP RUIMT BI Gemeente Rotterdam, 2012, ISS OCC 5 INT ARCH B Gemeente Rotterdam, 2012, FOOD CIT STIM STADSL Gemeente Rotterdam, 2012, PROGR DUURZ Gemeente Rotterdam IABR Fabric JCFO TNO, 2014, URB MET SUST DEV ROT Grin J., 2010, TRANSITIONS SUSTAINA Guneralp B, 2013, CURR OPIN ENV SUST, V5, P445, DOI 10.1016/j.cosust.2013.08.003 Haase D., 2015, REFLECTIONS BLUE ECO Haase D, 2014, LANDSCAPE URBAN PLAN, V132, P159, DOI 10.1016/j.landurbplan.2014.09.003 IEA, 2002, POT BUILD INT PHOT Jhagroe S, 2015, ENVIRON INNOV SOC TR, V15, P65, DOI 10.1016/j.eist.2014.07.001 Khan J, 2013, J CLEAN PROD, V50, P133, DOI 10.1016/j.jclepro.2012.11.045 Konijnendijk C. C., 2013, BENEFITS URBAN PARKS Kremer P, 2011, APPL GEOGR, V31, P1252, DOI 10.1016/j.apgeog.2011.01.007 Larondelle N, 2014, GLOBAL ENVIRON CHANG, V26, P119, DOI 10.1016/j.gloenvcha.2014.04.008 Larondelle N, 2012, ECOL INDIC, V18, P567, DOI 10.1016/j.ecolind.2012.01.008 Lauf S., 2014, ECOL INDIC Lehmann S, 2012, SUSTAIN CITIES SOC, V3, P1, DOI 10.1016/j.scs.2011.08.001 Lenhart J., 2015, J CLEAN PROD, P1 Loorbach D, 2010, GOVERNANCE, V23, P161, DOI 10.1111/j.1468-0491.2009.01471.x Luo HB, 2015, ECOL INDIC, V49, P247, DOI 10.1016/j.ecolind.2014.10.016 Mancilla EE, 2014, ENDOCR PRACT, V21, P1 Markard J, 2012, RES POLICY, V41, P955, DOI 10.1016/j.respol.2012.02.013 McCormick K, 2013, J CLEAN PROD, V50, P1, DOI 10.1016/j.jclepro.2013.01.003 McIntosh B.S., 2009, BRIDGING GAPS DESIGN, P33 McKinney ML, 2002, BIOSCIENCE, V52, P883, DOI 10.1641/0006-3568(2002)052[0883:UBAC]2.0.CO;2 McPhearson T., 2014, ECOSYST SERV, P1 McPhearson T, 2013, ECOSYST SERV, V5, pE11, DOI 10.1016/j.ecoser.2013.06.005 Neuvonen A., 2014, METROPOLITAN VISION Nevens F, 2013, J CLEAN PROD, V50, P111, DOI 10.1016/j.jclepro.2012.12.001 Nuissl H, 2009, LAND USE POLICY, V26, P414, DOI 10.1016/j.landusepol.2008.05.006 Porter N, 2015, TECHNOL FORECAST SOC, V90, P525, DOI 10.1016/j.techfore.2014.02.010 Prager K, 2012, LAND USE POLICY, V29, P244, DOI 10.1016/j.landusepol.2011.06.012 Rahman SRA, 2015, PROCD SOC BEHV, V170, P128, DOI 10.1016/j.sbspro.2015.01.022 Rall EL, 2011, LANDSCAPE URBAN PLAN, V100, P189, DOI 10.1016/j.landurbplan.2010.12.004 Ruckelshaus M., 2013, ECOL EC Ryan C, 2013, J CLEAN PROD, V50, P189, DOI 10.1016/j.jclepro.2012.11.029 Scherba A, 2011, BUILD ENVIRON, V46, P2542, DOI 10.1016/j.buildenv.2011.06.012 Schroter D, 2005, SCIENCE, V310, P1333, DOI 10.1126/science.1115233 Schwarz N, 2011, ENVIRON IMPACT ASSES, V31, P97, DOI 10.1016/j.eiar.2010.02.002 Seto KC, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0023777 Seto KC, 2010, CURR OPIN SUST, V2, P127, DOI 10.1016/j.cosust.2010.07.003 Seto KC, 2009, CURR OPIN ENV SUST, V1, P89, DOI 10.1016/j.cosust.2009.07.012 Singh R, 2015, SOL ENERGY, V115, P589, DOI 10.1016/j.solener.2015.03.016 Soste L., 2014, TECHNOL FORECAST SOC Strohbach M.W., 2010, ESTIMATING CARBON ST Sutherland WJ, 2013, NATURE, V503, P335, DOI 10.1038/503335a Uyarra E, 2013, J CLEAN PROD, V50, P101, DOI 10.1016/j.jclepro.2012.11.046 van Buuren A, 2009, PUBLIC MANAG REV, V11, P375, DOI 10.1080/14719030902798289 van den Bosch S. J. M., 2010, THESIS van der Lugt LM, 2014, J TRANSP GEOGR, V41, P197, DOI 10.1016/j.jtrangeo.2014.09.008 Van Eijndhoven J, 2013, CONNECTIVE CAPACITY, P172 VanWynsberghe R, 2003, FUTURES, V35, P203, DOI 10.1016/S0016-3287(02)00054-X Volker S, 2013, SOC SCI MED, V91, P141, DOI 10.1016/j.socscimed.2013.04.016 Whiteman G, 2011, BUS STRATEG ENVIRON, V20, P251, DOI 10.1002/bse.691 Wiek A, 2014, SUSTAIN SCI, V9, P497, DOI 10.1007/s11625-013-0208-6 NR 72 TC 9 Z9 9 U1 3 U2 23 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD NOV PY 2016 VL 70 SI SI BP 630 EP 643 DI 10.1016/j.ecolind.2016.02.028 PG 14 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA ED3YU UT WOS:000388785200057 DA 2019-04-09 ER PT J AU Volkart, K Bauer, C Burgherr, P Hirschberg, S Schenler, W Spada, M AF Volkart, Kathrin Bauer, Christian Burgherr, Peter Hirschberg, Stefan Schenler, Warren Spada, Matteo TI Interdisciplinary assessment of renewable, nuclear and fossil power generation with and without carbon capture and storage in view of the new Swiss energy policy SO INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL LA English DT Article DE Multi-criteria decision analysis; Life cycle assessment; Sustainability assessment; Power generation; Carbon capture and storage; Switzerland ID MULTICRITERIA DECISION-ANALYSIS; PRODUCTION TECHNOLOGIES; SUSTAINABILITY; UNCERTAINTIES; SYSTEMS; EUROPE; PLANTS; COST AB Swiss electricity generation is based on hydro and nuclear power, but current energy policy includes the nuclear phase-out by about 2035. This may lead to higher CO2 emissions of the Swiss power supply due to domestic fossil power generation or electricity imports. For compliance with the Swiss CO2 law, low carbon technologies such as renewable energies and Carbon Capture and Storage (CCS) gain importance. In order to support rational decision-making in this context, we compare various domestic and foreign renewable and non-renewable power supply options for Switzerland in 2035 based on environmental, economic, social and security of supply related indicators using multi-criteria decision analysis (MCDA). Our evaluation puts a focus on CCS technologies and uses (a) a novel approach that allows calculating the distribution of the MCDA results of all possible unique weighting profiles, and (b) two specific weighting profiles. The results show that domestic potentials for hydro and biogas power should be primarily exploited. Among the fossil and import options, natural gas plants with or without CCS and solar-thermal electricity imports are viable. Plants with CCS face a key trade-off: they may trigger social conflicts which must be weighed against the desired CO2 emission reductions. (C ) 2016 Elsevier Ltd. All rights reserved. C1 [Volkart, Kathrin; Bauer, Christian; Burgherr, Peter; Hirschberg, Stefan; Schenler, Warren; Spada, Matteo] PSI, Lab Energy Syst Anal, CH-5232 Villigen, Switzerland. RP Volkart, K (reprint author), PSI, OHSA E03, CH-5232 Villigen, Switzerland. EM kathrin.volkart@psi.ch RI Spada, Matteo/C-7866-2013 OI Spada, Matteo/0000-0001-9265-9491 FU Competence Centre of Environment and Sustainability (CCES); Competence Centre of Energy and Mobility (CCEM); Swiss Federal Office of Energy (SFOE); Alstom FX The major part of this work was carried out as part of the project CARMA (Carbon Management in Power Generation), which explored the potential and feasibility of deploying CCS systems in Switzerland within the framework of future energy scenarios. CARMA was a collaboration of various scientific partners within the Swiss ETH domain (CARMA, 2012). It was funded by the Competence Centres of Environment and Sustainability (CCES) and Energy and Mobility (CCEM), the Swiss Federal Office of Energy (SFOE) and Alstom. The full MCDA was implemented within the SCCER Supply of Electricity (SCCER SoE). The authors thank Petrissa Eckle for the development of the Mighty MCDA web tool. CR Ahmad S, 2014, RENEW ENERG, V63, P458, DOI 10.1016/j.renene.2013.10.001 Bachmann TM, 2013, INT J LIFE CYCLE ASS, V18, P1698, DOI 10.1007/s11367-012-0535-3 Bauer C., 2008, INT C PHYS REACT NUC, P2008 Bauer C., 2009, SYSTEMVERGLEICH STRO Burgherr P, 2013, HDB RISK MANAGEMENT, P475 Burgherr P, 2014, ENERG POLICY, V74, pS45, DOI 10.1016/j.enpol.2014.01.035 CARMA, 2012, CARB MAN POW GEN Barros JJC, 2015, ENERGY, V89, P473, DOI 10.1016/j.energy.2015.05.110 Cavallaro F, 2010, APPL ENERG, V87, P496, DOI 10.1016/j.apenergy.2009.07.009 Chatzimouratidis AI, 2012, ENERG CONVERS MANAGE, V64, P182, DOI 10.1016/j.enconman.2012.05.006 Chevalier G, 2010, SWISS J GEOSCI, V103, P427, DOI 10.1007/s00015-010-0030-4 Eckle P., 2011, FINAL REPORT MULTICR ecoinvent, 2012, EC DAT DAT V2 2 ESU-services/IFEU, 2008, 502687 IFEU NEEDS ES FOEN, 2016, DAT GREENH GAS EM SW Goedkoop M, 2008, RECIPE 2008 LIFE CYC Granat J., 2009, IR0923 INT I APPL SY Granat J., 2006, 502687 NEEDS Hirschberg S., 2014, ENERGIE INNERN ERDE Hirschberg S., 2014, ENERGY EARTH DEEPGEO Hirschberg S., 2008, 502687 NEEDS Hischier R., 2010, IMPLEMENTATION LIFE Huang IB, 2011, SCI TOTAL ENVIRON, V409, P3578, DOI 10.1016/j.scitotenv.2011.06.022 IPCC, 2005, CARBON DIOXIDE CAPTU ISO, 2010, 14040 ISO Kannan R, 2012, ENERG POLICY, V50, P391, DOI 10.1016/j.enpol.2012.07.035 Maxim A, 2014, ENERG POLICY, V65, P284, DOI 10.1016/j.enpol.2013.09.059 NEEDS, 2009, 502687 NEEDS OECD/IEA, 2012, EN TECHN PERSP 2012 PreConsultants, 2011, SIMAPRO 7 3 3 MULT Raugei M, 2009, ENERGY, V34, P392, DOI 10.1016/j.energy.2009.01.001 Roth S, 2009, ANN NUCL ENERGY, V36, P409, DOI 10.1016/j.anucene.2008.11.029 Rowley HV, 2012, J ENVIRON MANAGE, V111, P24, DOI 10.1016/j.jenvman.2012.05.004 Scannapieco D, 2014, LAND USE POLICY, V36, P478, DOI 10.1016/j.landusepol.2013.09.008 Schenler W., 2009, 502687 NEEDS SFOE, 2011, FED COUNC DEC GRAD P SFOE, 2012, EN SCHW BIS 2050 EN SFOE, 2012, SCHWEIZ EL 2011 Solomon S, 2007, CONTR WORK GROUP 4 A, P996 Steele K, 2009, RISK ANAL, V29, P26, DOI 10.1111/j.1539-6924.2008.01130.x Stein EW, 2013, RENEW SUST ENERG REV, V22, P640, DOI 10.1016/j.rser.2013.02.001 Streimikiene D, 2012, RENEW SUST ENERG REV, V16, P3302, DOI 10.1016/j.rser.2012.02.067 Suo MQ, 2012, ENG APPL ARTIF INTEL, V25, P72, DOI 10.1016/j.engappai.2011.08.007 Swiss Federal Council, 2013, 13074 SWISS FED COUN Triantaphyllou E., 2000, MULTICRITERIA DECISI Troldborg M, 2014, RENEW SUST ENERG REV, V39, P1173, DOI 10.1016/j.rser.2014.07.160 UN, 1987, REP WORLD COMM ENV D Viebahn P, 2011, ENERG POLICY, V39, P4420, DOI 10.1016/j.enpol.2010.09.026 Volkart K., 2011, CARBON DIOXIDE UNPUB Volkart K, 2013, INT J GREENH GAS CON, V16, P91, DOI 10.1016/j.ijggc.2013.03.003 ZEP, 2011, REP CO2 CAPT TRANSP NR 51 TC 9 Z9 9 U1 4 U2 28 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1750-5836 EI 1878-0148 J9 INT J GREENH GAS CON JI Int. J. Greenh. Gas Control PD NOV PY 2016 VL 54 BP 1 EP 14 DI 10.1016/j.ijggc.2016.08.023 PN 1 PG 14 WC Green & Sustainable Science & Technology; Energy & Fuels; Engineering, Environmental SC Science & Technology - Other Topics; Energy & Fuels; Engineering GA EC0HW UT WOS:000387781500001 DA 2019-04-09 ER PT J AU Wang, GWY Zeng, QH Li, K Yang, JL AF Wang, Grace W. Y. Zeng, Qingeheng Li, Kevin Yang, Jinglei TI Port connectivity in a logistic network: The case of Bohai Bay, China SO TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW LA English DT Article DE Port connectivity; Port competitiveness; Hinterland connectivity ID LINER SHIPPING NETWORK; DECISION-MAKING; ACCESSIBILITY; MANAGEMENT; MODELS; POLICY AB While traditional port literature uses origin and destination pairs in global shipping networks, recent developments of dry ports in the hinterland, feeder service networks, and heavy foreign trade traffic make the ports in Bohai Bay a unique case in the analysis of inter-port connectivity and competitiveness. Using an integrated port connectivity index to define the above features, the advantages and challenges of individual ports can be assessed in a dynamic interconnected environment. The model can provide unbiased port development strategies for each port to ensure long-term sustainability. Published by Elsevier Ltd. C1 [Wang, Grace W. Y.] Texas A&M Univ, Dept Marine Biol, Galveston, TX 77554 USA. [Zeng, Qingeheng] Dalian Maritime Univ, Sch Transportat Management, Dalian, Peoples R China. [Li, Kevin] Chung Ang Univ, Dept Int Logist, Seoul, South Korea. [Yang, Jinglei] Nankai Univ, Dept Logist Management, Tianjin, Peoples R China. RP Wang, GWY (reprint author), Texas A&M Univ, Dept Marine Biol, Galveston, TX 77554 USA. EM wangw@tamug.edu OI Li, Kevin/0000-0002-7712-3020 FU National Research Foundation of Korea Grant - South Korean Government [NRF-2014S1A2A2027967] FX This research was supported by the National Research Foundation of Korea Grant funded by the South Korean Government (NRF-2014S1A2A2027967). CR Carbone V., 2003, MARIT POLICY MANAG, V30, P305, DOI DOI 10.1080/0308883032000145618 Dong XJ, 2006, TRANSPORT RES A-POL, V40, P163, DOI 10.1016/j.tra.2005.05.002 Dou K., 2011, INT C REM SENS ENV T, P5681 Duran-Fernandez R, 2014, RES TRANSP ECON, V46, P55, DOI 10.1016/j.retrec.2014.09.005 Ferrari C, 2011, TRANSPORT POLICY, V18, P382, DOI 10.1016/j.tranpol.2010.11.002 Grengs J, 2010, J TRANSP GEOGR, V18, P42, DOI 10.1016/j.jtrangeo.2009.01.012 Hou Q, 2011, J TRANSP GEOGR, V19, P1350, DOI 10.1016/j.jtrangeo.2011.07.003 Hwang C. L., 1981, MULTIPLE ATTRIBUTE D HWANG CL, 1993, COMPUT OPER RES, V20, P889, DOI 10.1016/0305-0548(93)90109-V Jang M, 2015, HABITAT INT, V49, P516, DOI 10.1016/j.habitatint.2015.07.004 Jiang JL, 2015, TRANSPORT RES E-LOG, V73, P47, DOI 10.1016/j.tre.2014.10.012 Lam JSL, 2011, J TRANSP GEOGR, V19, P1272, DOI 10.1016/j.jtrangeo.2011.06.007 Low JMW, 2009, TRANSPORT RES A-POL, V43, P593, DOI 10.1016/j.tra.2009.04.004 Mangan J, 2008, INT J LOGIST MANAG, V19, P29, DOI 10.1108/09574090810872587 MCCAHON CS, 1983, IEEE T RELIAB, V32, P496, DOI 10.1109/TR.1983.5221741 Notteboom T.E., 2016, INT SERIES OPERATION, V220 Notteboom TE, 2013, MARIT POLICY MANAG, V40, P636, DOI 10.1080/03088839.2013.851455 Olson DL, 2004, MATH COMPUT MODEL, V40, P721, DOI 10.1016/j.mcm.2004.10.003 Pallis AA, 2011, TRANSPORT REV, V31, P445, DOI 10.1080/01441647.2010.530699 Parkan C, 1999, COMPUT IND ENG, V36, P503, DOI 10.1016/S0360-8352(99)00146-1 Pettit SJ, 2009, MARIT POLICY MANAG, V36, P253, DOI 10.1080/03088830902861144 Robinson R., 2002, MARIT POLICY MANAG, V29, P241, DOI DOI 10.1080/03088830210132623 Rodrigue JP, 2009, MARIT POLICY MANAG, V36, P165, DOI 10.1080/03088830902861086 Talen E, 2003, ENVIRON PLANN B, V30, P181, DOI 10.1068/b12977 Tang LC, 2011, NETW SPAT ECON, V11, P65, DOI 10.1007/s11067-008-9081-8 Thill J.-C., 2005, J GEOGRAPHICAL SYSTE, V7, P229, DOI DOI 10.1007/S10109-005-0158-3 Thill JC, 2010, J TRANSP GEOGR, V18, P530, DOI 10.1016/j.jtrangeo.2010.03.010 Tzeng GH, 2011, MULTIPLE ATTRIBUTE DECISION MAKING: METHODS AND APPLICATIONS, P1 van der Horst MR, 2011, MARIT POLICY MANAG, V38, P415, DOI 10.1080/03088839.2011.588257 Vega A, 2012, J TRANSP GEOGR, V24, P411, DOI 10.1016/j.jtrangeo.2012.04.008 Wang JJ, 2011, TIJDSCHR ECON SOC GE, V102, P188, DOI 10.1111/j.1467-9663.2010.00600.x Winkelmans W., 2001, MARIT POLICY MANAG, V28, P71, DOI [http://dx.doi.org/10.1080/03088830119197, DOI 10.1080/03088830119197] YOON KS, 1987, J OPER RES SOC, V38, P277, DOI 10.1057/jors.1987.44 Zanakis SH, 1998, EUR J OPER RES, V107, P507, DOI 10.1016/S0377-2217(97)00147-1 NR 34 TC 5 Z9 7 U1 6 U2 38 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 1366-5545 J9 TRANSPORT RES E-LOG JI Transp. Res. Pt. e-Logist. Transp. Rev. PD NOV PY 2016 VL 95 BP 341 EP 354 DI 10.1016/j.tre.2016.04.009 PG 14 WC Economics; Engineering, Civil; Operations Research & Management Science; Transportation; Transportation Science & Technology SC Business & Economics; Engineering; Operations Research & Management Science; Transportation GA EC6LG UT WOS:000388247000018 DA 2019-04-09 ER PT J AU Ruiz-Mercado, GJ Carvalho, A Cabezas, H AF Ruiz-Mercado, Gerardo J. Carvalho, Ana Cabezas, Heriberto TI Using Green Chemistry and Engineering Principles To Design, Assess, and Retrofit Chemical Processes for Sustainability SO ACS SUSTAINABLE CHEMISTRY & ENGINEERING LA English DT Article DE Indicators; Process development; WAR algorithm; GREENSCOPE; SustainPro ID REDUCTION WAR ALGORITHM; SOFTWARE TOOL; INDICATORS; ALTERNATIVES; METHODOLOGY; GENERATION AB The concepts of green chemistry and engineering (GC&E) have been promoted as an effective qualitative framework for developing more sustainable chemical syntheses, processes, and material management techniques. This has been demonstrated by many theoretical and practical cases. In addition, there are several approaches and frameworks focused on demonstrating that improvements were achieved through GC&E technologies. However, the application of these principles is not always straightforward. We propose using systematic frameworks and tools that help practitioners when deciding which principles can be applied, the levels of implementation, prospective of obtaining simultaneous improvements in all sustainability aspects, and ways to deal with multiobjective problems. Therefore, this contribution aims to provide a systematic combination of three different and complementary design tools for assisting designers in evaluating, developing, and improving chemical manufacturing and materials management systems under GC&E perspectives. The WAR Algorithm, GREENSCOPE, and SustainPro were employed for this synergistic approach of incorporating sustainability at early stages of process development. In this demonstration, simulated ammonia production is used as a case study to illustrate this advancement. Results show how to identify process design areas for improvements, key factors, multicriteria decision-making solutions, and optimal trade-offs. Finally, conclusions were presented regarding the tools' use in more robust sustainable process and material management designs. C1 [Ruiz-Mercado, Gerardo J.; Cabezas, Heriberto] US EPA, Off Res & Dev, Natl Risk Management Res Lab, 26 W Martin Luther King Dr, Cincinnati, OH 45268 USA. [Carvalho, Ana] Univ Lisbon, Inst Super Tecn, CEG IST, Av Rovisco Pais 1, P-1049001 Lisbon, Portugal. RP Cabezas, H (reprint author), US EPA, Off Res & Dev, Natl Risk Management Res Lab, 26 W Martin Luther King Dr, Cincinnati, OH 45268 USA. EM cabezas.heriberto@epa.gov RI Carvalho, Ana/A-8937-2012; Ruiz-Mercado, Gerardo/J-8759-2017 OI Carvalho, Ana/0000-0001-7848-7574; Ruiz-Mercado, Gerardo/0000-0002-5313-5094 CR Anastas P. T, 1998, GREEN CHEM THEORY PR Anastas PT, 2003, ENVIRON SCI TECHNOL, V37, p94A, DOI 10.1021/es032373g [Anonymous], 2016, CHEMCAD VERS 7 0 1 Bakshi BR, 2014, CURR OPIN CHEM ENG, V6, P69, DOI 10.1016/j.coche.2014.09.005 Bumann AA, 2011, COMPUT CHEM ENG, V35, P2767, DOI 10.1016/j.compchemeng.2010.12.008 Cabezas H, 1999, COMPUT CHEM ENG, V23, P623, DOI 10.1016/S0098-1354(98)00298-1 Carvalho A, 2008, PROCESS SAF ENVIRON, V86, P328, DOI 10.1016/j.psep.2007.11.003 Carvalho A, 2013, COMPUT CHEM ENG, V50, P8, DOI 10.1016/j.compchemeng.2012.11.007 Carvalho A, 2009, COMPUT CHEM ENG, V33, P2075, DOI 10.1016/j.compchemeng.2009.06.015 Elkington J., 1998, CANNIBALS FORKS TRIP Ferrer J, 2008, ENVIRON MODELL SOFTW, V23, P19, DOI 10.1016/j.envsoft.2007.04.005 Gonzalez MA, 2003, ENVIRON PROG, V22, P269, DOI 10.1002/ep.670220415 Guinand E. A., 2001, THESIS Halim I, 2002, IND ENG CHEM RES, V41, P196, DOI 10.1021/ie010207g Jayswal A, 2011, COMPUT CHEM ENG, V35, P2786, DOI 10.1016/j.compchemeng.2011.05.004 Linde Group, AMM Relvas S, 2008, COMPUT CHEM ENG, V32, P1085, DOI 10.1016/j.compchemeng.2006.12.002 Rong BG, 2000, CHEM ENG TECHNOL, V23, P479 Ruiz-Mercado G. J., 2016, SUSTAINABILITY ANAL Ruiz-Mercado GJ, 2013, IND ENG CHEM RES, V52, P6747, DOI 10.1021/ie302804x Ruiz-Mercado GJ, 2012, IND ENG CHEM RES, V51, P2329, DOI 10.1021/ie200755k Ruiz-Mercado GJ, 2012, IND ENG CHEM RES, V51, P2309, DOI 10.1021/ie102116e Shadiya OO, 2013, ENVIRON PROG SUSTAIN, V32, P749, DOI 10.1002/ep.11667 Smith RL, 2015, COMPUT CHEM ENG, V81, P272, DOI 10.1016/j.compchemeng.2015.04.020 US EPA, SUBP G AMM MAN US Geological Survey, 2016, MIN COMM SUMM 2016 U Young D, 2000, WASTE MANAGE, V20, P605, DOI 10.1016/S0956-053X(00)00047-7 Zhang Y, 2010, ENVIRON SCI TECHNOL, V44, P2232, DOI 10.1021/es9021156 Zheng KL, 2012, IND ENG CHEM RES, V51, P9300, DOI 10.1021/ie3002952 NR 29 TC 6 Z9 6 U1 2 U2 37 PU AMER CHEMICAL SOC PI WASHINGTON PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA SN 2168-0485 J9 ACS SUSTAIN CHEM ENG JI ACS Sustain. Chem. Eng. PD NOV PY 2016 VL 4 IS 11 BP 6208 EP 6221 DI 10.1021/acs.suschemeng.61302200 PG 14 WC Chemistry, Multidisciplinary; GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY; Engineering, Chemical SC Chemistry; Science & Technology - Other Topics; Engineering GA EB5PO UT WOS:000387428700048 DA 2019-04-09 ER PT J AU Sneessens, I Veysset, P Benoit, M Lamadon, A Brunschwig, G AF Sneessens, I. Veysset, P. Benoit, M. Lamadon, A. Brunschwig, G. TI Direct and indirect impacts of crop-livestock organization on mixed crop-livestock systems sustainability: a model-based study SO ANIMAL LA English DT Article DE livestock; organization; integration; farm modeling; sheep ID SHEEP FARMING SYSTEMS; INTEGRATED CROP; INTENSIFICATION; PERFORMANCE; AMERICA; EUROPE; WORK AB Crop-livestock production is claimed more sustainable than specialized production systems. However, the presence of controversial studies suggests that there must be conditions of mixing crop and livestock productions to allow for higher sustainable performances. Whereas previous studies focused on the impact of crop-livestock interactions on performances, we posit here that crop-livestock organization is a key determinant of farming system sustainability. Crop-livestock organization refers to the percentage of the agricultural area that is dedicated to each production. Our objective is to investigate if crop-livestock organization has both a direct and an indirect impact on mixed crop-livestock (MC-L) sustainability. In that objective, we build a whole-farm model parametrized on representative French sheep and crop farming systems in plain areas (Vienne, France). This model permits simulating contrasted MC-L systems and their subsequent sustainability through the following indicators of performance: farm income, production, N balance, greenhouse gas (GHG) emissions (/kg product) and MJ consumption (/kg product). Two MC-L systems were simulated with contrasted crop-livestock organizations (MC20-L-80: 20% of crops; MC80-L-20: 80% of crops). A first scenario - constraining no crop-livestock interactions in both MC-L systems - permits highlighting that crop-livestock organization has a significant direct impact on performances that implies trade-offs between objectives of sustainability. Indeed, the MC80-L-20 system is showing higher performances for farm income (+44%), livestock production (+18%) and crop GHG emissions (-14%) whereas the MC20-L-80 system has a better N balance (-53%) and a lower livestock MJ consumption (-9%). A second scenario - allowing for crop-livestock interactions in both MC20-L-80 and MC80-L-20 systems - stated that crop-livestock organization has a significant indirect impact on performances. Indeed, even if crop-livestock interactions permit improving performances, crop-livestock organization influences the capacity of MC-L systems to benefit from crop-livestock interactions. As a consequence, we observed a decreasing performance trade-off between MC-L systems for farm income (-4%) and crop GHG emissions (-10%) whereas the gap increases for nitrogen balance (+23%), livestock production (+6%) - MJ consumption (+16%) - GHG emissions (+5%) and crop MJ consumption (+5%). However, the indirect impact of crop-livestock organization doesn't reverse the trend of trade-offs between objectives of sustainability determined by the direct impact of crop-livestock organization. As a conclusion, crop-livestock organization is a key factor that has to be taken into account when studying the sustainability of mixed crop-livestock systems. C1 [Sneessens, I.; Veysset, P.; Benoit, M.; Lamadon, A.; Brunschwig, G.] INRA, UMR1213, F-63122 St Genes Champanelle, France. [Sneessens, I.] French Environm & Energy Management Agcy, 20 Ave Gresille,BP 90406, F-49004 Angers 01, France. [Brunschwig, G.] Clermont Univ, VetAgro Sup, UMR1213, BP 10448, F-63000 Clermont Ferrand, France. RP Sneessens, I (reprint author), INRA, UMR1213, F-63122 St Genes Champanelle, France.; Sneessens, I (reprint author), French Environm & Energy Management Agcy, 20 Ave Gresille,BP 90406, F-49004 Angers 01, France. EM ines.sneessens@outlook.com FU French National Institute for Agricultural Research (INRA-Phase/SAE2); French Environment and Energy Management Agency (Ademe) FX The authors are grateful for financial support from the French National Institute for Agricultural Research (INRA-Phase/SAE2) and the French Environment and Energy Management Agency (Ademe). Many thanks to Gabriel Laignel and both reviewers for their helpful comments. CR Ademe, 2010, GUID METH DIAT Agabriel J, 2007, FEEDING NEEDS FEED V, P1 Agreste, 2013, UT TERR STAT AGR ANN Bell LW, 2014, EUR J AGRON, V57, P10, DOI 10.1016/j.eja.2013.04.007 Bell LW, 2012, AGR SYST, V111, P1, DOI 10.1016/j.agsy.2012.04.003 Benoit M, 2011, INRA PROD ANIM, V24, P211 Benoit M, 2010, ANIMAL, V4, P1597, DOI 10.1017/S1751731110000480 BENOIT M, 1998, INRA PROD ANIM, V11, P199 Bommarco R, 2013, TRENDS ECOL EVOL, V28, P230, DOI 10.1016/j.tree.2012.10.012 Bonaudo T, 2014, EUR J AGRON, V57, P43, DOI 10.1016/j.eja.2013.09.010 Byrne F, 2010, AGR SYST, V103, P453, DOI 10.1016/j.agsy.2010.04.003 Chauvat S, 2005, AMELIORER CONDITIONS Ciirpo, 2008, AL BREB HERB COLZ FO Cournut S., 2010, Rencontres Autour des Recherches sur les Ruminants, V17, P425 Dedieu B, 2000, BILAN TRAVAIL ETUDE Dupraz P, 1998, GESTION EXPLOITATION, P357 France Agricole, 2014, PAC 2015 2020 DET VO Frontline System, 1999, SOLV US GUID VERS 3 Idele, 2013, CAS TYP OV VIAND POI Idele, 1999, BIL MIN KINGWELL RS, 1987, MIDAS BIOECONOMIC MO Lemaire G, 2007, INTERETS ENV FOURRAG, V189, P19 Lemaire G, 2014, AGR ECOSYST ENVIRON, V190, P4, DOI 10.1016/j.agee.2013.08.009 Madelrieux S, 2009, LIVEST SCI, V121, P28, DOI 10.1016/j.livsci.2008.05.014 Moraine M, 2014, ANIMAL, V8, P1204, DOI 10.1017/S1751731114001189 MORRISON DA, 1986, AGR SYST, V20, P243, DOI 10.1016/0308-521X(86)90116-2 Parsons D, 2011, AGR SYST, V104, P1, DOI 10.1016/j.agsy.2010.07.006 Parsons D, 2011, AGR SYST, V104, P13, DOI 10.1016/j.agsy.2010.08.006 Perrot C., 2012, RENC RECH RUM, V19, P33 Peyraud JL, 2014, EUR J AGRON, V57, P31, DOI 10.1016/j.eja.2014.02.005 Rossing WAH, 1997, EUR J AGRON, V7, P271, DOI 10.1016/S1161-0301(97)00042-7 Russelle MP, 2007, AGRON J, V99, P325, DOI 10.2134/agronj2006.0139 Ryschawy J, 2012, ANIMAL, V6, P1722, DOI 10.1017/S1751731112000675 SIMON JC, 1992, FOURRAGES, V129, P79 SOERE-ACBB, EXP SIT INRA LUS AGR Soussana JF, 2014, AGR ECOSYST ENVIRON, V190, P9, DOI 10.1016/j.agee.2013.10.012 Sterk B, 2007, EUR J AGRON, V26, P401, DOI 10.1016/j.eja.2006.12.006 Thamo T, 2013, AUST J AGR RESOUR EC, V57, P234, DOI 10.1111/j.1467-8489.2012.00613.x Tichit M, 2011, LIVEST SCI, V139, P161, DOI 10.1016/j.livsci.2011.03.006 Veysset P, 2014, ANIMAL, V8, P1218, DOI 10.1017/S1751731114000378 Veysset P, 2010, AGR SYST, V103, P41, DOI 10.1016/j.agsy.2009.08.005 Wilkins RJ, 2008, PHILOS T R SOC B, V363, P517, DOI 10.1098/rstb.2007.2167 NR 42 TC 1 Z9 1 U1 3 U2 23 PU CAMBRIDGE UNIV PRESS PI CAMBRIDGE PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND SN 1751-7311 EI 1751-732X J9 ANIMAL JI Animal PD NOV PY 2016 VL 10 IS 11 BP 1911 EP 1922 DI 10.1017/S1751731116000720 PG 12 WC Agriculture, Dairy & Animal Science; Veterinary Sciences SC Agriculture; Veterinary Sciences GA EA7OX UT WOS:000386822100020 PM 27167725 OA Bronze DA 2019-04-09 ER PT J AU Ling-Chin, J Roskilly, AP AF Ling-Chin, Janie Roskilly, Anthony P. TI Investigating the implications of a new-build hybrid power system for Roll-on/Roll-off cargo ships from a sustainability perspective - A life cycle assessment case study SO APPLIED ENERGY LA English DT Article DE Life cycle assessment (LCA); Environmental impact; Resource consumption; Marine electric power system; Integrated system approach; Hybrid power system ID MARINE DIESEL-ENGINE; IMPACT ASSESSMENT; ENERGY EFFICIENCY; EXHAUST-GAS; FUEL-CELLS; EMISSIONS; TECHNOLOGIES; OPTIMIZATION; METHODOLOGY; PERFORMANCE AB Marine transport has been essential for international trade. Concern for its environmental impact was growing among regulators, classification societies, ship operators, ship owners, and other stakeholders. By. applying life cycle assessment, this article aimed to assess the impact of a new-build hybrid system (i.e. an electric power system which incorporated lithium ion batteries, photovoltaic systems and cold ironing) designed for Roll-on/Roll-off cargo ships. The study was carried out based on a bottom-up integrated system approach using the optimised operational profile and background information for manufacturing processes, mass breakdown and end of life management plans. Resources such as metallic and non-metallic materials and energy required for manufacture, operation, maintenance, dismantling and scrap handling were estimated. During operation, 1.76 x 10(8) kg of marine diesel oil was burned, releasing carbon monoxide, carbon dioxide, particulate matter, hydrocarbons, nitrogen oxides and sulphur dioxide which ranged 5-8 orders of magnitude. The operation of diesel gensets was the primary cause of impact categories that were relevant to particulate matter or respiratory inorganic health issues, photochemical ozone creation, eutrophication, acidification, global warming and human toxicity. Disposing metallic scrap was accountable for the most significant impact category, ecotoxicity potential. The environmental benefits of the hybrid power system in most impact categories were verified in comparison with a conventional power system onboard cargo ships. The estimated results for individual impact categories were verified using scenario analysis. The study concluded that the life cycle of,a new-build hybrid power system would result in significant impact on the environment, human beings and natural reserves, and therefore proper management of such a system was imperative. (C) 2016 The Authors. Published by Elsevier Ltd. C1 [Ling-Chin, Janie; Roskilly, Anthony P.] Newcastle Univ, Sir Joseph Swan Ctr Energy Res, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England. RP Ling-Chin, J (reprint author), Newcastle Univ, Sir Joseph Swan Ctr Energy Res, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England. EM j.l.chin@ncl.ac.uk FU European Commission, 'INOvative Energy MANagement System for Cargo SHIP' (INOMANS2HIP) [266082]; Research Councils UK Energy Programme entitled 'Sustainable Thermal Energy Management Network' (SusTEM, EPSRC) [EP/K039377/1]; Engineering and Physical Sciences Research Council [EP/K039377/1] FX Research findings presented in this article was the outcome of a FP7 project funded by European Commission, 'INOvative Energy MANagement System for Cargo SHIP' (INOMANS2HIP, grant agreement no: 266082) and a research funded by the Research Councils UK Energy Programme entitled 'Sustainable Thermal Energy Management Network' (SusTEM, EPSRC Reference: EP/K039377/1). Gratitude was extended to research consortium involved in the project, namely Imtech Marine Netherlands BV, Netherlands Organisation for Applied Scientific Research (TNO), Offshore Renewable Energy Catapult (NAREC), Wartsila Netherlands BV and the ship owner for their technical support and knowledge exchange. Data supporting this publication is openly available under an 'Open Data Commons Open Database License'. Additional metadata are available at: 10.17634/123881-1. Please contact Newcastle Research Data Service at rdm@ncl.ac.uk for access instructions. CR Alkaner S, 2006, J POWER SOURCES, V158, P188, DOI 10.1016/j.jpowsour.2005.07.076 [Anonymous], 2006, ENV MAN LIF CYC IMP [Anonymous], 2010, ILCD HDB FRAMEWORK R [Anonymous], 2006, ENV MAN LIF CYCL IMP Armstrong VN, 2013, OCEAN ENG, V73, P195, DOI 10.1016/j.oceaneng.2013.06.018 Attah EE, 2015, OCEAN ENG, V110, P62, DOI 10.1016/j.oceaneng.2015.09.040 Baldi F, 2015, OCEAN ENG, V110, P85, DOI 10.1016/j.oceaneng.2015.09.037 Baldi F, 2015, APPL ENERG, V154, P402, DOI 10.1016/j.apenergy.2015.05.024 Ballini F, 2015, RES TRANSP BUS MANAG, V17, P92, DOI 10.1016/j.rtbm.2015.10.007 Bare JC, 2006, ENVIRON SCI TECHNOL, V40, P1104, DOI 10.1021/es091639b Barki D, 2015, UN NAT C TRAD DEV UN, P1 Basurko OC, 2014, J CLEAN PROD, V68, P155, DOI 10.1016/j.jclepro.2012.01.022 Bengtsson S, 2011, P I MECH ENG M-J ENG, V225, P97, DOI 10.1177/1475090211402136 Bengtsson S, 2012, ENERG POLICY, V44, P451, DOI 10.1016/j.enpol.2012.02.030 Besikci EB, 2016, COMPUT OPER RES, V66, P393, DOI 10.1016/j.cor.2015.04.004 Buja G., 2010, ELECT SYSTEMS AIRCRA, P1 Cao T, 2015, APPL THERM ENG, V90, P820, DOI 10.1016/j.applthermaleng.2015.07.070 Chan YT, 2012, INT J LIFE CYCLE ASS, V17, P89, DOI 10.1007/s11367-011-0333-3 Chatzinikolaou SD, 2015, OCEAN ENG, V110, P113, DOI 10.1016/j.oceaneng.2015.05.042 Cichowicz J, 2015, OCEAN ENG, V110, P49, DOI 10.1016/j.oceaneng.2015.05.041 Coppola T, 2016, RENEW SUST ENERG REV, V54, P816, DOI 10.1016/j.rser.2015.10.107 Craighill AL, 1996, RESOUR CONSERV RECY, V17, P75, DOI 10.1016/0921-3449(96)01105-6 Dale SJ, 2015, P IEEE, V103, P2225, DOI 10.1109/JPROC.2015.2497018 Fagerholt K, 2015, TRANSPORT RES D-TR E, V39, P56, DOI 10.1016/j.trd.2015.06.005 Fet A.M., 2002, P IMAREST J MARINE D, V1, P1476 Fet AM, 1998, LIFE CYCLE EVALUATIO, P32 Gaustad G, 2012, RESOUR CONSERV RECY, V58, P79, DOI 10.1016/j.resconrec.2011.10.010 Genaidy AM, 2009, SCI TOTAL ENVIRON, V407, P3239, DOI 10.1016/j.scitotenv.2009.01.025 Goedkoop M., 2008, RECIPE 2008 LIFE CYC, P126 Goedkoop M, 2001, ECOINDICATOR99 DAMAG Gordon RB, 2003, RESOUR CONSERV RECY, V39, P107, DOI 10.1016/S0921-3449(02)00166-0 Green J., 2007, ALUMINUM RECYCLING P Guan C, 2014, APPL ENERG, V130, P370, DOI 10.1016/j.apenergy.2014.05.063 Guinee J. B, 2001, LIFE CYCLE ASSESSM 3 Heitmann N, 2014, ENVIRON SCI POLICY, V42, P56, DOI 10.1016/j.envsci.2014.05.001 Henriksson T, 2000, 8 ICMES SNAME NEW YO Hountalas DT, 2014, APPL ENERG, V113, P1027, DOI 10.1016/j.apenergy.2013.08.036 Imperato M, 2016, APPL ENERG, V162, P289, DOI 10.1016/j.apenergy.2015.10.041 International Maritime Organisation, 2016, EC FUND GIV GREEN LI Jafarzadeh S, 2014, ENERGY, V69, P603, DOI 10.1016/j.energy.2014.03.056 Jiven K, 2004, LCA SHIP DESIGN TOOL Johnson H, 2015, TRANSPORT RES A-POL, V71, P167, DOI 10.1016/j.tra.2014.11.008 Johnson J, 2008, ENERG POLICY, V36, P181, DOI 10.1016/j.enpol.2007.08.028 Kameyama M, 2007, STUDY LIFE CYCLE IMP Kameyama M, P 6 INT C EC Kanellos FD, 2014, P I MECH ENG M-J ENG, V228, P17, DOI 10.1177/1475090212466523 Kanerva S, 2009, 2009 IEEE ELECTRIC SHIP TECHNOLOGIES SYMPOSIUM, P499, DOI 10.1109/ESTS.2009.4906558 KAPLAN RS, 1987, CONSERV RECYCLING, V10, P1, DOI 10.1016/0361-3658(87)90002-6 Kowalski J, 2015, APPL ENERG, V150, P1, DOI 10.1016/j.apenergy.2015.04.013 Lan H, 2015, APPL ENERG, V158, P26, DOI 10.1016/j.apenergy.2015.08.031 Li Q, 2015, OCEAN ENG, V98, P23, DOI 10.1016/j.oceaneng.2015.02.005 Lindstad H, 2014, TRANSPORT RES D-TR E, V29, P32, DOI 10.1016/j.trd.2014.04.001 Ling-Chin J, 2016, ENERG CONVERS MANAGE, V117, P305, DOI 10.1016/j.enconman.2016.03.032 Ling-Chin J, 2016, RENEW SUST ENERG REV, V59, P352, DOI 10.1016/j.rser.2015.12.058 Lister J, 2015, GLOBAL ENVIRON CHANG, V34, P185, DOI 10.1016/j.gloenvcha.2015.06.011 Livanos GA, 2014, ENERG CONVERS MANAGE, V79, P640, DOI 10.1016/j.enconman.2013.12.050 Ma HR, 2012, TRANSPORT RES D-TR E, V17, P301, DOI 10.1016/j.trd.2012.01.005 McCoy T. J., 2002, P IEEE POW ENG SOC M, P343 Moats M, 2011, RECYCLING NICKEL COB Muchova L., 2011, END OF WASTE CRITERI Mueller L, 2015, APPL ENERG, V155, P204, DOI 10.1016/j.apenergy.2015.05.115 Norgate TE, 2004, METAL RECYCLING ASSE Ovrum E, 2015, APPL ENERG, V152, P162, DOI 10.1016/j.apenergy.2015.01.066 Pang KM, 2016, APPL ENERG, V169, P874, DOI 10.1016/j.apenergy.2016.02.081 Papanikolaou A, 2010, COMPUT AIDED DESIGN, V42, P1028, DOI 10.1016/j.cad.2009.07.002 Paraskevas D, 2015, J CLEAN PROD, V105, P357, DOI 10.1016/j.jclepro.2014.09.102 Princaud M, 2010, P I MECH ENG M-J ENG, V224, P207, DOI 10.1243/14750902JEME185 Prousalidis J.M., 2011, EL SHIP TECHN S ESTS, p[374, 381] Rampen P, 2013, DELIVERABLE D3 1 ENE, P1 Raptotasios SI, 2015, APPL ENERG, V157, P814, DOI 10.1016/j.apenergy.2014.12.041 Reck BK, 2008, ENVIRON SCI TECHNOL, V42, P3394, DOI [10.1021/es072108l, 10.1021/es072108I] Roskilly AP, 2015, APPL ENERG, V157, P563, DOI 10.1016/j.apenergy.2015.09.051 Schmidt JH, 2014, ECOISLAND FERRY COMP Schoyen H, 2015, RES TRANSP BUS MANAG, V17, P26, DOI 10.1016/j.rtbm.2015.10.004 Sciberras EA, 2015, TRANSPORT RES D-TR E, V39, P31, DOI 10.1016/j.trd.2015.05.007 Shu GQ, 2013, RENEW SUST ENERG REV, V19, P385, DOI 10.1016/j.rser.2012.11.034 Sigurdsson E, 2014, APPL ENERG, V123, P37, DOI 10.1016/j.apenergy.2014.02.036 Skjong E, 2015, P IEEE, V103, P2410, DOI 10.1109/JPROC.2015.2496722 Strand KU., 2010, LIFE CYCLE ASSESSMEN Strazza C, 2010, APPL ENERG, V87, P1670, DOI 10.1016/j.apenergy.2009.10.012 Tincelin T., 2007, SHIP DESIGN OPERATIO Traut M, 2014, APPL ENERG, V113, P362, DOI 10.1016/j.apenergy.2013.07.026 Trozzi C, 2013, EMEP EEA AIR POLLUTA Tse LKC, 2011, J POWER SOURCES, V196, P3149, DOI 10.1016/j.jpowsour.2010.11.099 Walsh C, 2012, APPL ENERG, V98, P128, DOI 10.1016/j.apenergy.2012.03.015 Welaya YMA, 2011, INT J NAV ARCH OCEAN, V3, P141, DOI 10.3744/JNAOE.2011.3.2.141 Yang MH, 2015, APPL ENERG, V149, P1, DOI 10.1016/j.apenergy.2015.03.083 Yellishetty M, 2011, ENVIRON SCI POLICY, V14, P650, DOI 10.1016/j.envsci.2011.04.008 Zhao FY, 2016, APPL ENERG, V161, P124, DOI 10.1016/j.apenergy.2015.10.022 Zuin S, 2009, WASTE MANAGE, V29, P3036, DOI 10.1016/j.wasman.2009.06.025 NR 90 TC 8 Z9 8 U1 1 U2 36 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0306-2619 EI 1872-9118 J9 APPL ENERG JI Appl. Energy PD NOV 1 PY 2016 VL 181 BP 416 EP 434 DI 10.1016/j.apenergy.2016.08.065 PG 19 WC Energy & Fuels; Engineering, Chemical SC Energy & Fuels; Engineering GA EA5FG UT WOS:000386644200036 OA Other Gold DA 2019-04-09 ER PT J AU de Lange, DE Armanios, D Delgado-Ceballos, J Sandhu, S AF de Lange, Deborah E. Armanios, Daniel Delgado-Ceballos, Javier Sandhu, Sukhbir TI From Foe to Friend: Complex Mutual Adaptation of Multinational Corporations and Nongovernmental Organizations SO BUSINESS & SOCIETY LA English DT Article DE nongovernmental organizations; multinational corporations; complexity theory; mutual adaptation; corporate sustainability ID INTERNATIONAL-ORGANIZATIONS; SOCIAL-RESPONSIBILITY; PROFIT ORGANIZATIONS; GLOBAL GOVERNANCE; STRATEGIC CHANGE; PARTNERSHIPS; BUSINESS; COLLABORATION; IMPROVISATION; EVOLUTION AB The relationship between multinational corporations (MNCs) and nongovernmental organizations (NGOs) on social and environmental issues sometimes evolves from being antagonistic to cooperative. To explore how MNCs and NGOs are able to cooperate as friends rather than remain foes, this conceptual research drawing on complexity theory examines a proposed process of mutual adaptation occurring through more flexible semi-structures that support the evolution of (a) joint strategic responses enabled by future gazing, (b) communication systems that facilitate joint strategic responses, and (c) coordinated, timed-based change that supports joint strategic responses. The article provides illustrations from MNC-NGO collaborations. Conclusions are that mutual adaptation and cooperative resolutions are more likely when organizations either share these capabilities or compensate for each other's shortcomings, and make trade-offs that align with joint strategic objectives. This article contributes to complexity theory and the NGO-MNC literature by exploring how interorganizational cooperative behavior incorporates mutual adaptation so that more sustainable practices are implemented and continuously improved upon by MNCs. C1 [de Lange, Deborah E.] Ryerson Univ, Ted Rogers Sch Management, Global Management Studies, Toronto, ON, Canada. [Armanios, Daniel] Stanford Univ, Stanford Technol Ventures Program, Stanford, CA 94305 USA. [Delgado-Ceballos, Javier] Univ Granada, Management & Corp Sustainabil, E-18071 Granada, Spain. [Sandhu, Sukhbir] Univ South Australia, Sch Business, Strateg Management, Adelaide, SA, Australia. RP de Lange, DE (reprint author), Ryerson Univ, Ted Rogers Sch Management, 55 Dundas St West, Toronto, ON M5G 2C5, Canada. EM debbie.delange@ryerson.ca RI Sandhu, Sukhbir/F-4436-2013 OI Sandhu, Sukhbir/0000-0002-5560-3955; Armanios, Daniel/0000-0001-7100-2861 CR Ahlstrom J, 2005, BUSINESS STRATEGY EN, V14, P230, DOI DOI 10.1002/BSE.470 Alvarez JE, 2006, AM J INT LAW, V100, P324, DOI 10.1017/S0002930000016687 AMBARAO SC, 1993, J BUS ETHICS, V12, P553, DOI 10.1007/BF00872380 Anderson D. R., 2005, CORPORATE SURVIVAL C Anderson P, 1999, ORGAN SCI, V10, P233, DOI 10.1287/orsc.10.3.233 Anderson P, 1999, ORGAN SCI, V10, P216, DOI 10.1287/orsc.10.3.216 Baker T, 2005, ADMIN SCI QUART, V50, P329, DOI 10.2189/asqu.2005.50.3.329 Bansal P, 2005, STRATEGIC MANAGE J, V26, P197, DOI 10.1002/smj.441 Battilana J, 2010, ACAD MANAGE J, V53, P1419, DOI 10.5465/AMJ.2010.57318391 Baum J. A. C., 2002, BLACKWELL COMPANION, P304 Bengtsson E, 2008, J BUS ETHICS, V82, P969, DOI 10.1007/s10551-007-9606-y Bies RJ, 2007, ACAD MANAGE REV, V32, P788, DOI 10.5465/AMR.2007.25275515 Bingham CB, 2012, ACAD MANAGE J, V55, P611, DOI 10.5465/amj.2009.0331 Bingham CB, 2009, STRATEG ENTREP J, V3, P321, DOI 10.1002/sej.77 Bluedorn AC, 2002, HUMAN ORG TIME Brown SL, 1997, ADMIN SCI QUART, V42, P1, DOI 10.2307/2393807 Crossan MM, 2003, STRATEGIC MANAGE J, V24, P1087, DOI 10.1002/smj.342 Damlamian C., 2006, COLL UNDERGRADUATE R Davis JP, 2009, ADMIN SCI QUART, V54, P413, DOI 10.2189/asqu.2009.54.3.413 Detomasi DA, 2008, J BUS ETHICS, V82, P807, DOI 10.1007/s10551-007-9594-y Detomasi DA, 2007, J BUS ETHICS, V71, P321, DOI 10.1007/s10551-006-9141-2 Di Domenico M, 2009, ORGAN STUD, V30, P887, DOI 10.1177/0170840609334954 Doh J. P., 2003, GLOBALIZATION NGOS T Eesley C, 2006, STRATEGIC MANAGE J, V27, P765, DOI 10.1002/smj.536 Environmental Defense Fund, 2010, MCDON ENV DEF FUND M Evans M. D., 2006, INT J, V62, P311 Ford R, 2008, J CHANG MANAG, V8, P173, DOI 10.1080/14697010802567543 FOWLER Alan, 1992, REV AFRICAN POLITICA, V20, P9 Frooman J, 1999, ACAD MANAGE REV, V24, P191 Ganly K., 2007, EUROPEAN BUSINESS FO, V31, P34 Garud R, 2003, RES POLICY, V32, P277, DOI 10.1016/S0048-7333(02)00100-2 GERSICK CJG, 1994, ACAD MANAGE J, V37, P9, DOI 10.2307/256768 Glasbergen P., 2011, BUSINESS SOC, V49, P591 GRAY B, 1985, HUM RELAT, V38, P911, DOI 10.1177/001872678503801001 Guay T, 2004, J BUS ETHICS, V52, P125, DOI 10.1023/B:BUSI.0000033112.11461.69 Gutfeld R., 1991, WALL STREET J 0820, pB1 Hakonsson D., 2009, AC MAN BEST P 69 ANN HANNAN MT, 1984, AM SOCIOL REV, V49, P149, DOI 10.2307/2095567 Hartman C.L., 1999, BUSINESS STRATEGY EN, V8, P255, DOI DOI 10.1002/(SICI)1099-0836(199909/10)8:5?3.0.C0;2-C Streeten P, 1997, ANN AM ACAD POLIT SS, V554, P193, DOI 10.1177/0002716297554001012 Teegen H, 2004, J INT BUS STUD, V35, P463, DOI 10.1057/palgrave.jibs.8400112 Tencati A, 2009, J BUS ETHICS, V85, P367, DOI 10.1007/s10551-008-9775-3 TUSHMAN ML, 1986, CALIF MANAGE REV, V29, P29, DOI 10.2307/41165225 WADDOCK SA, 1989, ADMIN SOC, V21, P78, DOI 10.1177/009539978902100105 WADDOCK SA, 1988, SLOAN MANAGE REV, V29, P17 Wassmer U, 2014, BUS SOC, V53, P754, DOI 10.1177/0007650312439865 WEICK KE, 1993, ADMIN SCI QUART, V38, P628, DOI 10.2307/2393339 Wilburn K, 2009, J BUS ETHICS, V85, P111, DOI 10.1007/s10551-008-9951-5 World Commission on Environment and Development, 1987, OUR COMMON FUTURE Yaziji M, 2009, BUS VAL CREAT SOC, P1, DOI 10.1017/CBO9780511626708 NR 92 TC 5 Z9 5 U1 6 U2 38 PU SAGE PUBLICATIONS INC PI THOUSAND OAKS PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA SN 0007-6503 EI 1552-4205 J9 BUS SOC JI Bus. Soc. PD NOV PY 2016 VL 55 IS 8 BP 1197 EP 1228 DI 10.1177/0007650314568537 PG 32 WC Business SC Business & Economics GA DZ6GJ UT WOS:000385959300004 DA 2019-04-09 ER PT J AU Mansouri, SA Aktas, E AF Mansouri, S. Afshin Aktas, Emel TI Minimizing energy consumption and makespan in a two-machine flowshop scheduling problem SO JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY LA English DT Article DE scheduling; production; energy consumption; multi-objective; heuristics; genetic algorithms ID DEPENDENT SETUP TIMES; SEQUENCING PROBLEM; TARDINESS; ALGORITHM; OPTIMIZATION; MACHINE; MODEL AB Energy consumption has become a key concern for manufacturing sector because of negative environmental impact of operations. We develop constructive heuristics and multi-objective genetic algorithms (MOGA) for a two-machine sequence-dependent permutation flowshop problem to address the trade-off between energy consumption as a measure of sustainability and makespan as a measure of service level. We leverage the variable speed of operations to develop energy-efficient schedules that minimize total energy consumption and makespan. As minimization of energy consumption and minimization of makespan are conflicting objectives, the solutions to this problem constitute a Pareto frontier. We compare the performance of constructive heuristics and MOGAs with CPLEX and random search in a wide range of problem instances. The results show that MOGAs hybridized with constructive heuristics outperform regular MOGA and heuristics alone in terms of quality and cardinality of Pareto frontier. We provide production planners with new and scalable solution techniques that will enable them to make informed decisions considering energy consumption together with service objectives in shop floor scheduling. C1 [Mansouri, S. Afshin] Brunel Univ London, Brunel Business Sch, Kingston Lane, Uxbridge UB8 3PH, Middx, England. [Aktas, Emel] Cranfield Univ, Cranfield Sch Management, Cranfield MK43 0AL, Beds, England. RP Mansouri, SA (reprint author), Brunel Univ London, Brunel Business Sch, Kingston Lane, Uxbridge UB8 3PH, Middx, England. EM Afshin.Mansouri@brunel.ac.uk RI ; Aktas, Emel/A-8654-2008 OI Mansouri, Afshin/0000-0002-1488-7912; Aktas, Emel/0000-0003-3509-6703 CR Ahilan C, 2013, APPL SOFT COMPUT, V13, P1543, DOI 10.1016/j.asoc.2012.03.071 Allahverdi A, 2008, EUR J OPER RES, V187, P985, DOI 10.1016/j.ejor.2006.06.060 Belaid R, 2012, EUR J OPER RES, V223, P560, DOI 10.1016/j.ejor.2012.06.035 Brooks R, 2012, HIGH PERFORMANCE CUT Coello C. A. C., 2002, EVOLUTIONARY ALGORIT, V242 Collette Y., 2004, MULTIOBJECTIVE OPTIM Costa L, 2012, APPL MATH COMPUT, V218, P9415, DOI 10.1016/j.amc.2012.03.025 Deb K, 2009, LECT NOTES COMPUT SC, V5467, P110, DOI 10.1007/978-3-642-01020-0_13 Diaz N., 2011, GLOCALIZED SOLUTIONS, P263, DOI DOI 10.1007/978-3-642-19692-8 Duflou JR, 2012, CIRP ANN-MANUF TECHN, V61, P587, DOI 10.1016/j.cirp.2012.05.002 *EPA, 2013, GREENH GAS EQ CALC Fang K, 2011, J MANUF SYST, V30, P234, DOI 10.1016/j.jmsy.2011.08.004 Fang KT, 2013, COMPUT IND ENG, V64, P224, DOI 10.1016/j.cie.2012.10.002 Gharbi A, 2013, EUR J OPER RES, V231, P69, DOI 10.1016/j.ejor.2013.05.031 Goldberg D E, 2006, GENETIC ALGORITHMS Gong XT, 2013, OPER RES, V61, P908, DOI 10.1287/opre.2013.1189 Graham R. L., 1979, Discrete Optimisation, P287 GUPTA JND, 1986, EUR J OPER RES, V24, P439, DOI 10.1016/0377-2217(86)90037-8 He Y, 2005, J CENT SOUTH UNIV T, V12, P167, DOI 10.1007/s11771-005-0033-x Heidenhain, 2011, ASP EN EFF MACH TOOL Hyun CJ, 1998, COMPUT OPER RES, V25, P675, DOI 10.1016/S0305-0548(98)00026-4 Ibrahimov M, 2014, INT J ADV MANUF TECH, V72, P1021, DOI 10.1007/s00170-014-5619-8 Jog P, 1991, SIAM J OPTIMIZ, V1, P515, DOI 10.1137/0801031 Liu GS, 2013, MATH PROBL ENG, DOI 10.1155/2013/546810 Lu D, 2012, J OPERATIONAL RES SO, V64, P530 Luo H, 2013, INT J PROD ECON, V146, P423, DOI 10.1016/j.ijpe.2013.01.028 Mansouri SA, 2016, EUR J OPER RES, V248, P772, DOI 10.1016/j.ejor.2015.08.064 Michalewicz Z., 1996, GENETIC ALGORITHMS D Mouzon G, 2007, INT J PROD RES, V45, P4247, DOI 10.1080/00207540701450013 Mouzon G, 2008, INT J SUSTAIN ENG, V1, P105, DOI 10.1080/19397030802257236 Naderi B, 2009, INT J ADV MANUF TECH, V41, P1186, DOI 10.1007/s00170-008-1569-3 NAWAZ M, 1983, OMEGA-INT J MANAGE S, V11, P91, DOI 10.1016/0305-0483(83)90088-9 OECD/IE.A, 2007, TRACK IND EN EFF CO2 Rahimifard S, 2010, CIRP ANN-MANUF TECHN, V59, P25, DOI 10.1016/j.cirp.2010.03.048 Ruiz R, 2005, EUR J OPER RES, V165, P34, DOI 10.1016/j.egor.2004.01.022 Ruiz R, 2008, EUR J OPER RES, V187, P1143, DOI 10.1016/j.ejor.2006.07.029 Sabouni MTY, 2013, EUR J OPER RES, V224, P8, DOI 10.1016/j.ejor.2012.07.013 Srinivas N., 1994, Evolutionary Computation, V2, P221, DOI 10.1162/evco.1994.2.3.221 T'kindt V, 2006, MULTICRITERIA SCHEDU TAILLARD E, 1990, EUR J OPER RES, V47, P65, DOI 10.1016/0377-2217(90)90090-X Tiwari A, 2015, INT J PROD RES, V53, P793, DOI 10.1080/00207543.2014.933273 Uruk Z, 2013, COMPUT OPER RES, V40, P639, DOI 10.1016/j.cor.2012.09.001 Yenisey MM, 2014, OMEGA-INT J MANAGE S, V45, P119, DOI 10.1016/j.omega.2013.07.004 YOSHIDA T, 1979, AIIE T, V11, P261, DOI 10.1080/05695557908974469 NR 44 TC 2 Z9 3 U1 3 U2 23 PU PALGRAVE MACMILLAN LTD PI BASINGSTOKE PA BRUNEL RD BLDG, HOUNDMILLS, BASINGSTOKE RG21 6XS, HANTS, ENGLAND SN 0160-5682 EI 1476-9360 J9 J OPER RES SOC JI J. Oper. Res. Soc. PD NOV PY 2016 VL 67 IS 11 BP 1382 EP 1394 DI 10.1057/jors.2016.4 PG 13 WC Management; Operations Research & Management Science SC Business & Economics; Operations Research & Management Science GA EA0FS UT WOS:000386262100005 OA Green Published, Bronze DA 2019-04-09 ER PT J AU Yazan, DM van Duren, I Mes, M Kersten, S Clancy, J Zijm, H AF Yazan, Devrim Murat van Duren, Iris Mes, Martijn Kersten, Sascha Clancy, Joy Zijm, Henk TI Design of sustainable second-generation biomass supply chains SO BIOMASS & BIOENERGY LA English DT Article DE Second generation biomass; Supply chain analysis; Bioenergy; Sustainability; Mobile pyrolysis plant ID FAST PYROLYSIS; BIOENERGY PRODUCTION; INFORMATION-SYSTEM; BIO-ENERGY; FACILITIES; FEEDSTOCK; LOGISTICS; RESIDUE; COSTS; OIL AB Operational and economic trade-offs in the design of second-generation biomass (SGB) supply chains guide the decisions about plant scale and location as well as biomass collection routes. This paper compares different SGB supply chain designs with a focus on mobile pyrolysis plants and centralized versus decentralized collection of biomass in terms of economic and environmental sustainability. Pyrolysis scenarios are also compared to fuel-upgrading and electricity production scenarios. The empirical context of this paper is based on a scenario analysis for processing lignocellulosic biomass, particularly landscape wood, reed and roadside grass available in the Overijssel region (Eastern Netherlands). Four scenarios are compared: (1) mobile pyrolysis plant processes the locally available biomass on-site into pyrolysis oil which is sent to a regional biofuel production unit for upgrading to marketable biofuel; (2) local biomass is collected and transported to a regional pyrolysis-based biofuel production unit for upgrading to a marketable biofuel; (3) mobile pyrolysis plant performs the on-site conversion to pyrolysis oil which is transported to an oil refinery outside the region (Rotterdam); and (4) collected biomass is sent to the nearest electricity production unit to generate electricity. The results show that processing SGB is costly and upgraded oil and refined oil are at least 65% more expensive compared to their fossil counterparts. In terms of economic and environmental performance, the mobile plant performs slightly better than a fixed plant. The energy output/input ratio range is between 6.99 and 7.54 and CO2 emissions range is between 96 and 138 kg CO2/t upgraded oil. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Yazan, Devrim Murat; Mes, Martijn; Zijm, Henk] Univ Twente, Fac Behav Management & Social Sci, Dept Ind Engn & Business Informat Syst, POB 217, NL-7500 AE Enschede, Netherlands. [van Duren, Iris] Univ Twente, Dept Nat Resources, Fac Geoinformat Sci & Earth Observat, POB 217, NL-7500 AE Enschede, Netherlands. [Kersten, Sascha] Univ Twente, Fac Sci & Technol, Dept Sustainable Proc Technol, POB 217, NL-7500 AE Enschede, Netherlands. [Clancy, Joy] Univ Twente, Fac Behav Management & Social Sci, Dept Governance & Technol Sustainabil, POB 217, NL-7500 AE Enschede, Netherlands. RP Yazan, DM (reprint author), Univ Twente, Fac Behav Management & Social Sci, Dept Ind Engn & Business Informat Syst, POB 217, NL-7500 AE Enschede, Netherlands. EM d.m.yazan@utwente.nl; i.c.vanduren@utwente.nl; m.r.k.mes@utwente.nl; s.r.a.kersten@utwente.nl; j.s.clancy@utwente.nl; w.h.m.zijm@utwente.nl OI Mes, Martijn/0000-0001-9676-5259 CR [Anonymous], 2016, ENG TOOLBOX DENSITY Badger PC, 2006, BIOMASS BIOENERG, V30, P321, DOI 10.1016/j.biombioe.2005.07.011 Beccali M, 2009, BIOMASS BIOENERG, V33, P79, DOI 10.1016/j.biombioe.2008.04.019 Becker DR, 2009, ENERG POLICY, V37, P5687, DOI 10.1016/j.enpol.2009.08.033 Bloomberg, 2015, CRUD OIL PRIC Braysy I, 2005, TRANSPORT SCI, V39, P104, DOI 10.1287/trsc.1030.0056 Bridgwater A.V., 2009, 08018 NNFCC COPE LTD Bridgwater AV, 2000, RENEW SUST ENERG REV, V4, P1, DOI 10.1016/S1364-0321(99)00007-6 Brown D, 2013, BIORESOURCE TECHNOL, V150, P367, DOI 10.1016/j.biortech.2013.10.018 Bunkerworld, 2015, PRIC IND Canr M., 2015, COST CARBON PUTTING Carriquiry MA, 2011, ENERG POLICY, V39, P4222, DOI 10.1016/j.enpol.2011.04.036 Chan K., 2008, SOIL RES, V45, P629, DOI DOI 10.1071/SR07109 CLARKE G, 1964, OPER RES, V12, P568, DOI 10.1287/opre.12.4.568 De Miguel Mercader F., 2010, THESIS Ebert J., 2015, BIOMASS MAGAZINE Ecofys Biomassa Potentieel Provincie Utrecht, 2011, PSUPNL101735 EC EEA, 2006, COR LAND COV 2006 SE Elliott D, 1997, DEV THERMOCHEMICAL B, P611 Elliott DC, 2007, ENERG FUEL, V21, P1792, DOI 10.1021/ef070044u European Commission (EC), 2009, BIOM ACT PLAN European Commission (EC), 2015, EXC DUT TABL 2 European Commission (EC), 2012, SUST BIOM Gold S, 2011, J CLEAN PROD, V19, P32, DOI 10.1016/j.jclepro.2010.08.009 Graham RL, 2000, BIOMASS BIOENERG, V18, P309, DOI 10.1016/S0961-9534(99)00098-7 Grubbstrom R.W., 2000, ECON SYST RES, V12, P3, DOI DOI 10.1080/095353100111254 Gulf Publishing Co, 2006, HYDR PROC REF PROC 2 Gust S., 1997, DEV THERMOCHEMICAL B, P481 Ha M, 2014, T ASABE, V57, P249 Hazeu G.W., 2010, LANDELIJK GRONDGEBRU, V2012, P132 Hung M.C., 2011, ENV IMPACT EVALUATIO International Energy Agency (IEA), 2012, ANN BIOEN REP International Panel on Climate Change (IPCC), 2014, IPCC WORK GROUP 2 MI, P10 Jones S. B, 2009, PRODUCTION GASOLINE Kent J. A, 2012, RIEGELS HDB IND CHEM Lasserre B, 2011, BIOMASS BIOENERG, V35, P716, DOI 10.1016/j.biombioe.2010.10.013 Lehmann J, 2007, FRONT ECOL ENVIRON, V5, P381, DOI 10.1890/1540-9295(2007)5[381:BITB]2.0.CO;2 McKone TE, 2011, ENVIRON SCI TECHNOL, V45, P1751, DOI 10.1021/es103579c Ng KS, 2011, BIOMASS BIOENERG, V35, P1153, DOI 10.1016/j.biombioe.2010.12.003 Oasmaa A, 2003, ENERG FUEL, V17, P1, DOI 10.1021/ef020088x Oasmaa A, 2010, ENERG FUEL, V24, P1380, DOI 10.1021/ef901107f Palma MA, 2011, INT FOOD AGRIBUS MAN, V14, P1 Panichelli L, 2008, BIOMASS BIOENERG, V32, P289, DOI 10.1016/j.biombioe.2007.10.008 Parkash S., 2003, REFINING PROCESSES H Pedroli B, 2013, BIOMASS BIOENERG, V55, P73, DOI 10.1016/j.biombioe.2012.09.054 Ramis E.Z., 2015, WORLD J ENG TECHNOL, V3, P15 SHARMA RK, 1991, BIORESOURCE TECHNOL, V35, P57, DOI 10.1016/0960-8524(91)90082-U Singh J, 2008, BIOMASS BIOENERG, V32, P301, DOI 10.1016/j.biombioe.2007.10.003 Spijker J.H., 2007, BIOMASSA ENERGIE UIT, V1616, P61 Stasko TH, 2011, BIOMASS BIOENERG, V35, P263, DOI 10.1016/j.biombioe.2010.08.044 Thomas A, 2013, BIOMASS BIOENERG, V55, P107, DOI 10.1016/j.biombioe.2013.01.010 Toft AJ, 1996, THESIS Toth P., 2001, VEHICLE ROUTING PROB van Strien W., 2005, BEHEERSKOSTEN NATUUR Yazan DM, 2011, INT J PROD ECON, V131, P224, DOI 10.1016/j.ijpe.2010.07.017 Zafar S., 2015, BIOMASS PYROLYSIS PR NR 56 TC 10 Z9 10 U1 0 U2 25 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0961-9534 EI 1873-2909 J9 BIOMASS BIOENERG JI Biomass Bioenerg. PD NOV PY 2016 VL 94 BP 173 EP 186 DI 10.1016/j.biombioe.2016.08.004 PG 14 WC Agricultural Engineering; Biotechnology & Applied Microbiology; Energy & Fuels SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels GA DY7SW UT WOS:000385330600019 OA Other Gold DA 2019-04-09 ER PT J AU Sverdrup, HU Ragnarsdottir, KV AF Sverdrup, Harald U. Ragnarsdottir, Kristin Vala TI A system dynamics model for platinum group metal supply, market price, depletion of extractable amounts, ore grade, recycling and stocks-in-use SO RESOURCES CONSERVATION AND RECYCLING LA English DT Article DE PGM; Mining; Recycling; Modelling; Market; Scarcity ID MAIN SULFIDE ZONE; BUSHVELD COMPLEX; GREAT DYKE; GROUP ELEMENTS; RESOURCES; RESERVES; FUTURE; AVAILABILITY; COPPER; FLOWS AB The long term development of world primary extraction, market supply, recycling and extractable amounts of the platinum group metals platinum, palladium and rhodium was assessed. The degree of sustainability was estimated using system dynamics modelling. Compiling estimates from different sources, and considering recent technological advances in deep mining suggests that the Ultimately Recoverable Resource (URR) is about 216,000 ton of platinum group metals down to a mining depth of maximum 5 km, significantly more than earlier published estimates. The world supply and production of platinum group metals was calculated using system dynamics methodology to develop the PGM-model for this study. The model combines mining, ore grade changes, trade markets, price mechanisms, supply, demand, estimates of stock-in-use, waste, dissipative losses and recycling into a whole world system. The model was run for the period of 1900-2400. The model outputs were successfully tested on historic data for mining rate, ore grades and platinum market price during 1900-2014. The model indicates that extraction will reach maximum in the period 2020-2050 and that market supply will peak in 2070-2080. The delay is caused by the effect of recycling. The outputs from the model emphasize the importance of recycling, metal conservation and elimination of dissipative losses in order to secure long term sustainable platinum group metals supply. (C) 2016 Elsevier B.V. All rights reserved. C1 [Sverdrup, Harald U.] Univ Iceland, Ind Engn, Hjardarhagi 6, IS-107 Reykjavik, Iceland. [Ragnarsdottir, Kristin Vala] Univ Iceland, Inst Earth Sci, IS-I01 Reykjavik, Iceland. RP Sverdrup, HU (reprint author), Univ Iceland, Ind Engn, Hjardarhagi 6, IS-107 Reykjavik, Iceland. EM hus@hi.is RI Ragnarsdottir, Kristin Vala/L-5369-2016 OI Ragnarsdottir, Kristin Vala/0000-0001-6958-0734 FU German Federal Ministry for Environment; German Environmental Protection Agency [FICZ 3712 93 102] FX This study contributed to the SimRess project ("Models, potential and long-term scenarios for resource efficiency"), funded by the German Federal Ministry for Environment and the German Environmental Protection Agency (FICZ 3712 93 102). Other partners to the SIMRESS project are CEC, Lund University, Lund, Sweden, Ecologic Institute, Berlin, Germany; the Institute of Economic Structures Research, GWS, Osnabruck, Germany; European School of Governance, EUSG, Berlin, Germany. Ullrich Lorenz is project officer at the German Environmental Protection Agency (UBA). CR Allen D.T., 1994, GREENING IND ECOSYST, P68 Alonso E., 2009, SUST SYST TECHN 2009, P1 Alonso E, 2010, THESIS Alonso E, 2007, ENVIRON SCI TECHNOL, V41, P6649, DOI 10.1021/es070159c Alonso E, 2012, ENVIRON SCI TECHNOL, V46, P12986, DOI 10.1021/es301110e Anglo-American Platinum plc, 2012, FACT BOOK 2011 12 PL Anglo-American Platinum plc, 2013, OR RES MIN RES REP 2 Babakina O.A., 2005, WORKING PAPER Bardi U., 2013, PRESENT FUTURE GLOBA, p299pp Boudreau J., 2009, P SYST DYN SOC 2009 Brewster N., 2009, MF GLOB SEM SET PPT British Geological Survey, 2009, PLAT DEF MIN RES Busch J, 2014, ENVIRON SCI TECHNOL, V48, P1298, DOI 10.1021/es404877u Butler J., 2010, PLATIN MET REV, V55, P41 Butler J., 2011, PLATIN MET REV, V56, P47 Butler J., 2012, PLATINUM 2012 INTERI Cailteux JLH, 2005, J AFR EARTH SCI, V42, P134, DOI 10.1016/j.jafrearsci.2005.08.001 Cawthorn RG, 2010, PLATIN MET REV, V54, P205, DOI 10.1595/147106710X520222 Cawthorn RG, 1999, S AFR J SCI, V95, P481 Eckstrand O.R., 2007, SPECIAL PUBLICATION, V5, P205 Eilu Pasi, 2011, GEOLOGICAL SURVEY FI, V49, P13 Eliott M., 2014, BUSINESS RISKS FACIN Eliott M., 2013, SUPERCYCLE HANGOVER, P8 Elshkaki A, 2013, RESOUR POLICY, V38, P241, DOI 10.1016/j.resourpol.2013.04.002 Fukuyama F., 2014, POLITICAL ORDER POLI Gauthier M, 2004, GEOLOGY, V32, P593, DOI 10.1130/G20293.1 Geoscience Australia, 2009, AUSTR ID MIN RES 200 Glaister BJ, 2010, MINER ENG, V23, P438, DOI 10.1016/j.mineng.2009.12.007 Gordon RB, 2006, P NATL ACAD SCI USA, V103, P1209, DOI 10.1073/pnas.0509498103 Gotthelf P., 2005, PRECIOUS METALS TRAD Graedel T., 2011, MET STOCKS SOC SCI S Graedel TE, 2012, MRS BULL, V37, P325, DOI 10.1557/mrs.2012.34 Graedel T. E., 2003, IND ECOLOGY Graedel T. E., 2011, REC RAT MET STAT REP Graedel T. E., 2011, ASSESSING MINERAL RE Hageluken C, 2012, PLATIN MET REV, V56, P29, DOI 10.1595/147106712X611733 Hageluken C., 2006, METALL, V60, P31 Hageluken C., 2005, MAT FLOW PLATINUM GR Haraldsson H, 2007, J SYST RES BEHAV SCI, V24, P1 Haraldsson H. V., 2004, Environmental modelling - finding simplicity in complexity, P211 Heinberg R., 2001, 2001 PEAK EVERYTHING Hilliard H.E., 2001, 2011 PLATINUM RECYCL Hoke C.M., 1940, HDB LEWELER DENT SMA HULBERT LJ, 1982, ECON GEOL, V77, P1296, DOI 10.2113/gsecongeo.77.6.1296 Implats (Impala Platinum Holdings Limited), 2007, ANN REPORT Jochens P.R., 1980, J S AFR I MIN, P331 Knoeri C, 2013, SCI TOTAL ENVIRON, V461, P808, DOI 10.1016/j.scitotenv.2013.02.001 Kunilov V.Ye, 1994, SUDBURY NORILSK S ON, V5, P203 Levine R.M., 2009, 2005 MINERALS YB Locmelis M, 2010, MINER DEPOSITA, V45, P93, DOI 10.1007/s00126-009-0258-y Mathey Johnson, 2015, MARKET TABLES Meadows D. L., 1993, LIMITS CONFRONTING G Meadows Donella, 2005, LIMITS GROWTH 30 YEA Mudd GM, 2012, ORE GEOL REV, V46, P106, DOI 10.1016/j.oregeorev.2012.02.005 Mudd GM, 2012, PLATIN MET REV, V56, P2, DOI 10.1595/147106711X614713 Mudd GM, 2010, RESOUR POLICY, V35, P98, DOI 10.1016/j.resourpol.2009.12.001 Nansai K, 2014, ENVIRON SCI TECHNOL, V48, P1391, DOI 10.1021/es4033452 Nassar NT, 2013, RSC GREEN CHEM SER, P185, DOI 10.1039/9781849737340-00185 Nassar N. T., 2015, THESIS Neumayer E, 2000, J ECON SURV, V14, P307 Norilsk Nickel, 2014, INVESTOR PRESENTATIO Norilsk Nickel, 2012, INVESTOR PRESENTATIO Nuss P, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0101298 Nuss P, 2014, ENVIRON SCI TECHNOL, V48, P4171, DOI 10.1021/es405044w Oberthur T, 2013, J S AFR I MIN METALL, V113, P191 Oberthur T, 2003, MINER DEPOSITA, V38, P327, DOI 10.1007/s00126-002-0337-9 Oberthur T, 2003, MINER DEPOSITA, V38, P344, DOI 10.1007/s00126-002-0338-8 Oberthur T., 2011, REV EC GEOLOGY, V17, P329 Osborne RC, 2004, PDAC 2004 INT CONV T Papp J. F., 2008, 20081356 US GEOL SUR Polinares, 2012, 20 POL Polinares, 2012, 35 POL Prendergast M., 1988, GEOPLATINUM, V87, P281 Prendergast M.D., 1989, MAGMATIC SULPHIDES Z, P21 Quiring H., 1962, METALLISCHEN ROHSTOF, V16 Radetzki M., 2008, HDB PRIMARY COMMODIT Radetzki M., PERSERVERANCE ONGOIN Ragnarsdottir K. V., 2012, SUSTAINABLE DEV ENER, P83 Ragnarsdottir KV, 2008, NAT GEOSCI, V1, P720, DOI 10.1038/ngeo302 Rasilainen K, 2010, ORE GEOL REV, V38, P270, DOI 10.1016/j.oregeorev.2010.05.001 Rasilainen K, 2012, 194 GEOL SURV FINL Rasilainen K, 2010, 180 GEOL SURV FINL Reuter M. A, 2013, MET REC OPP LIM INFR Risk & Policy Analysts Limited, 2012, 146LT NR EU RISK POL Royal Bafokeng Platinum, 2013, RBPLAT INT ANN REP M Russian Platinum, 2014, RES Salminen R., 2013, ENV RISKS CHALL ANTH Saurat M, 2009, J IND ECOL, V13, P406, DOI 10.1111/j.1530-9290.2008.00106.x Schooldermann H., 2011, MINERALS SCARCITY MA Senge Peter M., 1990, ART PRACTICE LEARNIN Steinlechner S, 2015, JOM-US, V67, P406, DOI 10.1007/s11837-014-1263-x Sterman JD, 2000, BUSINESS DYNAMICS SY Stillwater Mining Company, 2012, PALL FUND DOM CAT CO Stillwater Mining Company, 2010, CAS PALL Stillwater Mining Company, 2011, CAS PALL 2011 Sutphin D.M., 1986, 930E US GEOL SURV, P34 Sverdrup H., 2012, J ENV SCI ENG B, V1, P499 Sverdrup H, 2011, APPL GEOCHEM, V26, pS311, DOI DOI 10.1016/J.APGE0CHEM.201103.088 Sverdrup H., 2015, J CLEAN PRO IN PRESS Sverdrup H., 2013, P 30 INT C SYST DYN, V5, P4002 Sverdrup H., 2013, P 30 INT C SYST DYN, V5, P3975 Sverdrup H., 2013, J ENV SCI ENG B, VB2, P189 Sverdrup H., 2004, REVEALING COMPLEX ST, P122 Sverdrup H, 2014, RESOUR CONSERV RECY, V83, P121, DOI 10.1016/j.resconrec.2013.12.008 Sverdrup HU, 2015, RESOUR CONSERV RECY, V103, P139, DOI 10.1016/j.resconrec.2015.06.008 Sverdrup HU, 2014, GEOCHEM PERSPECT, V3, P129, DOI 10.7185/geochempersp.3.2 Sverdrup HU, 2014, RESOUR CONSERV RECY, V87, P158, DOI 10.1016/j.resconrec.2014.03.007 Sverdrup HU, 2011, APPL GEOCHEM, V26, pS307, DOI 10.1016/j.apgeochem.2011.03.089 Sverdrup K.V., 2015, P 2015 WORD RES FOR Sweeneye J.L., 1992, HDB NATURAL RESOURCE, V3, P759 The DME, 2003, PLAT GROUP MET MIN S Thomas C.E., 2009, WILL THERE BE ENOUGH TIAX LLC, 2003, PLAT AV EC PEMFC COM Tilton J.E., 2009, INT C SUST MIN APR 1 Tilton J.E., 2012, IS MINERAL DEPLETION, V82, p3pp Tilton JE, 2003, ON BORROWED TIME?: ASSESSING THE THREAT OF MINERAL DEPLETION, P1 Tilton JE, 2007, RESOUR POLICY, V32, P19, DOI 10.1016/j.resourpol.2007.04.001 U.S. Geological Survey National Mineral Resource Assessment Team, 1998, SERIES USGS, 2008, LOOK DIFF OCC Vermeulen J., 2013, RBPLAT INTEGRATED AN von Gruenewaldt G, 1973, T GEOL SOC S AFR, V76, P207 Wager PA, 2012, GAIA, V21, P300, DOI 10.14512/gaia.21.4.15 Wager PA, 2011, SCARCE TECHNOLOGY ME Wagner H, 2001, RESOUR POLICY, V27, P157, DOI 10.1016/S0301-4207(01)00016-2 Weatherstone N., 2008, WORLD MIN C EXPO 200 Wellmer FW, 2008, Z DTSCH GES GEOWISS, V159, P575, DOI 10.1127/1860-1804/2008/0159-0575 Wilburn D. R., 2012, 20125164 US GEOL SUR Wilburn D. R., 2004, 20041224 US GEOL SUR Williamson A., 2003, LBMA MET C LISB PORT Yang CJ, 2009, ENERG POLICY, V37, P1805, DOI 10.1016/j.enpol.2009.01.019 Zientek ML, 2014, 20105090Q US GEOL SU Zimasset, 2014, ZIM AW SEM MEMB PARL NR 132 TC 9 Z9 9 U1 4 U2 43 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-3449 EI 1879-0658 J9 RESOUR CONSERV RECY JI Resour. Conserv. Recycl. PD NOV PY 2016 VL 114 BP 130 EP 152 DI 10.1016/j.resconrec.2016.07.011 PG 23 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA DW3ES UT WOS:000383525500011 DA 2019-04-09 ER PT J AU Xu, JT Chen, YY Bai, QG AF Xu, Jianteng Chen, Yuyu Bai, Qingguo TI A two-echelon sustainable supply chain coordination under cap-and-trade regulation SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Supply chain coordination; Cap-and-trade; Selling price; sustainability investment ID MANAGEMENT; EMISSIONS; CONTRACTS; SYSTEM; POLICY; TAX AB This paper analyses the decision behaviour and coordination mechanisms for a two-echelon sustainable supply chain under a cap-and-trade regulation. In a make-to-order setting, carbon emissions are generated primarily by the downstream manufacturing process, and the market demand of the supply chain is affected by two decision variables, the sustainability level and the selling price. The impact of the unit emissions trading price on the optimal decision variables in both centralized and decentralized systems is revealed. The comparison of decentralized and centralized systems shows that the increase in total profit in centralized system is at most 1/3 that in decentralized system. To achieve the same profit as the centralized system, we consider two contracts to coordinate the sustainable supply chain, revenue sharing and two-part tariff contracts. By analysing the conditions for a win-win outcome, we prove that only the two-part tariff contract can lead to perfect coordination. Finally, sensitivity analysis of the key parameters is undertaken as part of a numerical example illustrating the theoretical results. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Xu, Jianteng; Chen, Yuyu; Bai, Qingguo] Qufu Normal Univ, Sch Management, Rizhao 276826, Peoples R China. [Bai, Qingguo] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China. RP Bai, QG (reprint author), Qufu Normal Univ, Sch Management, Rizhao 276826, Peoples R China. EM hustbaiqg@hust.edu.cn FU National Natural Science Foundation of China [71371107]; Ministry of Education Foundation of Humanities and Social Sciences [14YJCZH171] FX The authors would like to thank the Editor-in-Chief, Subject Editor and anonymous referees for their valuable comments and suggestions that significantly improved the quality of the paper. This work is partly supported by the National Natural Science Foundation of China (71371107), Ministry of Education Foundation of Humanities and Social Sciences(14YJCZH171). CR Absi N, 2013, EUR J OPER RES, V227, P55, DOI 10.1016/j.ejor.2012.11.044 Bai QG, 2015, INT J SYSTEMS SCI OP, V2, P49 Benjaafar S, 2013, IEEE T AUTOM SCI ENG, V10, P99, DOI 10.1109/TASE.2012.2203304 Bouchery Y, 2012, EUR J OPER RES, V222, P229, DOI 10.1016/j.ejor.2012.05.004 Cachon GP, 2010, MANAGE SCI, V56, P571, DOI 10.1287/mnsc.1090.1122 Cachon GP, 2005, MANAGE SCI, V51, P30, DOI 10.1287/mnsc.1040.0215 Chen X, 2013, OPER RES LETT, V41, P172, DOI 10.1016/j.orl.2012.12.003 Choi TM, 2013, TRANSPORT RES E-LOG, V55, P43, DOI 10.1016/j.tre.2013.03.006 Creyts J., 2007, REDUCING US GREENHOU Dobos I, 2005, INT J PROD ECON, V93-4, P301, DOI 10.1016/j.ijpe.2004.06.028 Dong CW, 2016, ANN OPER RES, V240, P509, DOI 10.1007/s10479-013-1514-1 Drake DF, 2016, PROD OPER MANAG, V25, P1006, DOI 10.1111/poms.12523 Du S, 2015, ANN OPER RES, V228, P135, DOI 10.1007/s10479-011-0964-6 Du S, 2015, ANN OPER RES, V969580, P1 Du SF, 2013, ENERG POLICY, V57, P61, DOI 10.1016/j.enpol.2012.09.042 European Commission, 2006, QUEST ANSW EM TRAD N Gong XT, 2013, OPER RES, V61, P908, DOI 10.1287/opre.2013.1189 He P, 2015, J CLEAN PROD, V103, P241, DOI 10.1016/j.jclepro.2014.08.102 Hua GW, 2011, INT J PROD ECON, V132, P178, DOI 10.1016/j.ijpe.2011.03.024 Jaber MY, 2013, INT J PROD RES, V51, P69, DOI 10.1080/00207543.2011.651656 Jiang Y., 2012, WORKING PAPER Kumar S, 2012, INT J PROD RES, V50, P1278, DOI 10.1080/00207543.2011.571924 Li X, 2016, J CLEAN PROD, V112, P2058, DOI 10.1016/j.jclepro.2014.09.027 Li YJ, 2013, INT J PROD ECON, V144, P451, DOI 10.1016/j.ijpe.2013.03.013 Ma CS, 2015, LISS 2014, P147, DOI 10.1007/978-3-662-43871-8_23 Mafakheri F, 2013, J CLEAN PROD, V59, P185, DOI 10.1016/j.jclepro.2013.06.031 Penfield P. C., 2008, EJ US, V13, P29 Plambeck EL, 2012, ENERG ECON, V34, pS64, DOI 10.1016/j.eneco.2012.08.031 Purdum T., 2008, EJ US, V13, P18 Raut S, 2008, MARKET SCI, V27, P627, DOI 10.1287/mksc.1070.0315 Rosic H, 2013, INT J PROD ECON, V143, P109, DOI 10.1016/j.ijpe.2012.12.007 Savaskan RC, 2006, MANAGE SCI, V52, P1, DOI 10.1287/mnsc.1050.0454 Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 Song J., 2012, HDB NEWSVENDOR PROBL, V176, P297, DOI DOI 10.1007/978-1-4614-3600-3 Swami S, 2013, J OPER RES SOC, V64, P336, DOI 10.1057/jors.2012.44 Testa F, 2010, J CLEAN PROD, V18, P953, DOI 10.1016/j.jclepro.2010.03.005 Toptal A, 2014, INT J PROD RES, V52, P243, DOI 10.1080/00207543.2013.836615 Wu CF, 2014, INT T OPER RES, V21, P797, DOI 10.1111/itor.12060 Wu DS, 2009, EUR J OPER RES, V197, P548, DOI 10.1016/j.ejor.2008.06.032 Xiao TJ, 2016, ANN OPER RES, V241, P475, DOI 10.1007/s10479-012-1085-6 Xu JT, 2014, ASIA PAC J OPER RES, V31, DOI 10.1142/S0217595914500237 Zhang CT, 2013, APPL MATH MODEL, V37, P3369, DOI 10.1016/j.apm.2012.08.006 Zhang J. J., 2011, INT J SOC SYSTEMS SC, V3, P21 Zhang Y., 2014, PROG APPL MATH, V7, P20 NR 44 TC 35 Z9 38 U1 10 U2 100 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 1 PY 2016 VL 135 BP 42 EP 56 DI 10.1016/j.jclepro.2016.06.047 PG 15 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DV3AH UT WOS:000382792900005 DA 2019-04-09 ER PT J AU O'Reilly, CJ Goransson, P Funazaki, A Suzuki, T Edlund, S Gunnarsson, C Lundow, JO Cerin, P Cameron, CJ Wennhage, P Potting, J AF O'Reilly, Ciaran J. Goransson, Peter Funazaki, Atsushi Suzuki, Tetsuya Edlund, Stefan Gunnarsson, Cecilia Lundow, Jan-Olov Cerin, Pontus Cameron, Christopher J. Wennhage, Per Potting, Jose TI Life cycle energy optimisation: A proposed methodology for integrating environmental considerations early in the vehicle engineering design process SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Life cycle energy; Vehicle design; Optimization; Functional conflicts ID SUSTAINABILITY; SELECTION; IMPACT; EMISSIONS AB To enable the consideration of life cycle environmental impacts in the early stages of vehicle design, a methodology using the proxy of life cycle energy is proposed in this paper. The trade-offs in energy between vehicle production, operational performance and end-of-life are formulated as a mathematical problem, and simultaneously balanced with other transport-related functionalities, and may be optimised. The methodology is illustrated through an example design study, which is deliberately kept simple in order to emphasise the conceptual idea. The obtained optimisation results demonstrate that there is a unique driving-scenario-specific design solution, which meets functional requirements with a minimum life cycle energy cost. The results also suggest that a use-phase focussed design may result in a solution, which is sub-optimal from a life cycle point-of-view. (C) 2016 The Authors. Published by Elsevier Ltd. C1 [O'Reilly, Ciaran J.; Goransson, Peter; Cameron, Christopher J.; Wennhage, Per] KTH Royal Inst Technol, Aeronaut & Vehicle Engn Dept, Teknikringen 8, SE-10044 Stockholm, Sweden. [O'Reilly, Ciaran J.; Goransson, Peter; Edlund, Stefan; Gunnarsson, Cecilia; Lundow, Jan-Olov; Cerin, Pontus; Wennhage, Per; Potting, Jose] KTH, Ctr Vehicle Design ECO2, Teknikringen 8, SE-10044 Stockholm, Sweden. [Funazaki, Atsushi; Suzuki, Tetsuya] Japan Automobile Res Inst, 2530 Karima, Tsukuba, Ibaraki 3050822, Japan. [Edlund, Stefan; Gunnarsson, Cecilia] Volvo Grp Trucks Technol, Gropegardsgatan, SE-40508 Gothenburg, Sweden. [Lundow, Jan-Olov] Bombardier Transportat, Ostra Ringvagen 2, SE-72173 Vasteras, Sweden. [Cameron, Christopher J.] Swerea SICOMP, Broderna Ugglas Gata 208B, SE-58188 Linkoping, Sweden. [Cerin, Pontus] Swedish Energy Agcy, Kungsgatan 43, SE-63104 Eskilstuna, Sweden. [Potting, Jose] KTH Royal Inst Technol, Environm Strategies Res Div, Drottning Kristinas Vag 30, SE-10044 Stockholm, Sweden. [Potting, Jose] PBL Netherlands Environm Assessment Agcy, Antonie van Leeuwenhoeklaan 9, NL-3721 MA Bilthoven, Netherlands. RP O'Reilly, CJ (reprint author), KTH Royal Inst Technol, Aeronaut & Vehicle Engn Dept, Teknikringen 8, SE-10044 Stockholm, Sweden. EM ciaran@kth.se; pege@kth.se; afuna@jari.or.jp; stetsuya@jari.or.jp; Stefan.H.Edlund@volvo.com; Cecilia.Gunnarsson@volvo.com; jan-olov.lundow@se.transport.bombardier.com; pontus.cerin@energimyndigheten.se; christopher.cameron@swerea.se; wennhage@kth.se; Jose.Potting@pbl.nl RI Goransson, Peter/E-9835-2011; O'Reilly, Ciaran/G-2057-2019 OI Goransson, Peter/0000-0003-1855-5437; O'Reilly, Ciaran/0000-0003-0176-5358 FU Japan Automobile Research Institute (JARI); Swedish Innovation Agency, VINNOVA through VINN Excellence Center programme; Swedish Innovation Agency, VINNOVA through VINNMER programme FX The authors would like to acknowledge the contribution of the Japan Automobile Research Institute (JARI) who provided funding for collecting the production energy inventory data. Additionally, the authors would like to thank Bombardier Transportation, Scania, AB Volvo and the Trafikverket (Swedish Transportation Agency) for their contribution to this work through participation in the Centre for ECO2 Vehicle Design. The Swedish Innovation Agency, VINNOVA, is also gratefully acknowledged for its financial support through the VINN Excellence Center and VINNMER programmes. CR [Anonymous], 2009, LCI VAL CARB FIB [Anonymous], 14040 ISO [Anonymous], 1999, RES REP INV DAT CONS, P49 Arora Jasbir S, 2012, INTRO OPTIMUM DESIGN Boustead I., 2005, ECOPROFILES EUROPEAN Brechet Y.J.M., 2003, ACTA MAT, V51, P5801 Cameron C., 2009, INT J VEH STRUCT SYS, V1, P1 Cameron C., 2011, THESIS Cameron CJ, 2014, J SOUND VIB, V333, P2677, DOI 10.1016/j.jsv.2014.01.025 Capros P., 2014, EU ENERGY TRANSPORT Castro MBG, 2003, INT J LIFE CYCLE ASS, V8, P297, DOI 10.1065/lca2003.07.127 Charter M., 1997, J SUSTAINABLE PRODUC, V1, P5 Cheung WM, 2015, J CLEAN PROD, V87, P431, DOI 10.1016/j.jclepro.2014.10.033 Ermolaeva NS, 2004, MATER DESIGN, V25, P689, DOI 10.1016/j.matdes.2004.02.021 European Environment Agency, 2007, EUR ENV 4 ASS Favre T, 2011, FLOW TURBUL COMBUST, V87, P133, DOI 10.1007/s10494-011-9333-4 Fitch PE, 2004, J MECH DESIGN, V126, P798, DOI 10.1115/1.1767821 Geradin D., 2000, QUESTIONS MODERNITY, pxi Giegrich J., 2010, ECOPROFILES EUROPEAN Hawkins TR, 2013, J IND ECOL, V17, P53, DOI 10.1111/j.1530-9290.2012.00532.x Huijbregts MAJ, 2006, ENVIRON SCI TECHNOL, V40, P641, DOI 10.1021/es051689g Knittel CR, 2011, AM ECON REV, V101, P3368, DOI 10.1257/aer.101.7.3368 Koffler C, 2010, INT J LIFE CYCLE ASS, V15, P128, DOI 10.1007/s11367-009-0127-z Kroll E., 2001, INNOVATIVE CONCEPTUA Lindahl M, 2013, HDB SUSTAINABLE ENG, P669 Maclean HL, 1998, ENVIRON SCI TECHNOL, V32, p322A, DOI 10.1021/es9836242 Mayyas A, 2012, RENEW SUST ENERG REV, V16, P1845, DOI 10.1016/j.rser.2012.01.012 Mayyas AT, 2012, ENERGY, V39, P412, DOI 10.1016/j.energy.2011.12.033 McAuley JW, 2003, ENVIRON SCI TECHNOL, V37, P5414, DOI 10.1021/es030521x Minai AA, 2006, UND COM SYS, P1 Nemry F, 2008, JRC SCI TECHNICAL RE Ostermayer A, 2006, ECOPROFILES EUROPEAN Palencia JCG, 2012, ENERGY, V48, P548, DOI 10.1016/j.energy.2012.09.041 Poulikidou S, 2015, MATER DESIGN, V83, P704, DOI 10.1016/j.matdes.2015.06.079 Rohlfshagen P., 2013, METAHEURISTICS DYNAM, V433, P79 Samaras C, 2008, ENVIRON SCI TECHNOL, V42, P3170, DOI 10.1021/es702178s Schoggl J.-R, 2014, CHECKLIST SUSTAINABL, P563 Schweimer G.W., 2000, LIFE CYCLE INVENTORY Sherwin C., 2001, SUSTAINABLE SOLUTION Song YS, 2009, COMPOS PART A-APPL S, V40, P1257, DOI 10.1016/j.compositesa.2009.05.020 Suzuki T., 2005, P 9 JAP INT SAMPE S, P14 Svanberg K, 2001, SIAM J OPTIMIZ, V12, P555 Sweeting WJ, 2012, ENERG POLICY, V51, P927, DOI 10.1016/j.enpol.2012.09.055 NR 43 TC 7 Z9 7 U1 1 U2 23 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 1 PY 2016 VL 135 BP 750 EP 759 DI 10.1016/j.jclepro.2016.06.163 PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DV3AH UT WOS:000382792900065 OA Other Gold, Green Published DA 2019-04-09 ER PT J AU Chen, DM Tucker, B Badami, MG Ramankutty, N Rhemtulla, JM AF Chen, David M. Tucker, Bronwen Badami, Madhav G. Ramankutty, Navin Rhemtulla, Jeanine M. TI A multi-dimensional metric for facilitating sustainable food choices in campus cafeterias SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Environmental impacts; Food choice; Water footprint; Emissions; Land use ID GREENHOUSE-GAS EMISSIONS; LIFE-CYCLE ASSESSMENT; UNITED-STATES; ORGANIC AGRICULTURE; WATER FOOTPRINT; BEEF-PRODUCTION; CLIMATE-CHANGE; PRODUCTS; IMPACTS; CONSUMPTION AB Demand-side initiatives to alter food choices have been repeatedly identified as important tools in reducing the environmental and resource use impacts of our global food systems, and effective strategies to identify and motivate key dietary changes are needed. The environmental and resource use impacts of the most common meals served in the undergraduate residence cafeterias at McGill University in Montreal are evaluated and presented, to inform sustainable food choices in an easy to use manner. The life-cycle land and water use, and greenhouse gas emissions for the 19 most-used ingredients are calculated and compared for different iterations of two typical meals using these ingredients, accounting for multiple origins, methods of production of ingredients, and meal types. These three metrics are kept distinct to better communicate trade-offs and inform decision-making. Overall, meals containing beef and cheese have 2-12 times higher associated water, land use and greenhouse gas emissions impacts than meals with other protein sources and drive impacts more than provenance or production methods assessed. The impacts of eggs and chicken are comparable to or lower than those of many plant-based ingredients. This suggests that the adoption of a lacto-vegetarian diet has an unclear environmental benefit; eating chicken instead of cheese would be more beneficial in some cases. For some ingredients, impacts vary greatly depending on their provenance, independent of transport. There are also substantial trade-offs between the metrics for greenhouse vegetables, but these trade-offs are minimized in milder climates. Given this high context dependence, greater transparency is needed in supply chains at the consumer level, to improve the reliability of food sustainability metrics. (C) 2016 Published by Elsevier Ltd. C1 [Chen, David M.] McGill Univ, Fac Agr & Environm Sci, Macdonald Stewart Bldg,21111 Lakeshore Rd, Ste Anne De Bellevue, PQ H9X 3V9, Canada. [Tucker, Bronwen] McGill Univ, McGill Sch Environm, 805 Sherbrooke West, Montreal, PQ H3A 2K6, Canada. [Badami, Madhav G.] McGill Univ, Sch Urban Planning, Macdonald Harrington Bldg,815 Sherbrooke St West, Montreal, PQ H3A 0C2, Canada. [Badami, Madhav G.] McGill Univ, McGill Sch Environm, Macdonald Harrington Bldg,815 Sherbrooke St West, Montreal, PQ H3A 0C2, Canada. [Ramankutty, Navin] Univ British Columbia, Liu Inst Global Issues, 6476 NW Marine Dr, Vancouver, BC V6T 1Z2, Canada. [Ramankutty, Navin] Univ British Columbia, Inst Resources Environm & Sustainabil, 6476 NW Marine Dr, Vancouver, BC V6T 1Z2, Canada. [Rhemtulla, Jeanine M.] Univ British Columbia, Dept Forest & Conservat Sci, Vancouver, BC V6T 1Z4, Canada. RP Tucker, B (reprint author), McGill Univ, McGill Sch Environm, 805 Sherbrooke West, Montreal, PQ H3A 2K6, Canada. EM david.chen3@mail.mcgill.ca; bronwen.tucker@mail.mcgill.ca; madhav.badami@mcgill.ca; navin.ramankutty@ubc.ca; jeanine.rhemtulla@ubc.ca CR Alberta Agriculture and Rural Development, 2014, ALB CROP PROD STAT Azadi H, 2011, AGR ECOSYST ENVIRON, V144, P92, DOI 10.1016/j.agee.2011.08.001 Beauchemin KA, 2010, AGR SYST, V103, P371, DOI 10.1016/j.agsy.2010.03.008 Berlin J, 2002, INT DAIRY J, V12, P939, DOI 10.1016/S0958-6946(02)00112-7 Campbell-Arvai V, 2012, ENVIRON BEHAV, V46, P453 Canada Organic Trade Association (OTA), 2013, CAN ORG MARK NAT HIG Canadian Food Inspection Agency (CFIA), 2014, FREQ ASK QUEST PROD Carlsson-Kanyama A, 1998, FOOD POLICY, V23, P277, DOI 10.1016/S0306-9192(98)00037-2 Cellura M, 2012, J CLEAN PROD, V28, P56, DOI 10.1016/j.jclepro.2011.10.021 Clay J, 2004, WORLD AGR ENV COMMOD Daoust-Filiatrault L, 2013, ANAL FOOD CHOICE MCG Davis J., 2011, 828 SR SWED I FOOD B De Beer M, 2011, RECENT ADV ANIMAL NU, P9 de Boer J, 2014, APPETITE, V76, P120, DOI 10.1016/j.appet.2014.02.002 de Vries M, 2010, LIVEST SCI, V128, P1, DOI 10.1016/j.livsci.2009.11.007 Dyer JA, 2010, J SUSTAIN AGR, V34, P618, DOI 10.1080/10440046.2010.493376 Eshel G, 2014, P NATL ACAD SCI USA, V111, P11996, DOI 10.1073/pnas.1402183111 Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452 Foster C., 2007, ENV IMPACTS FOOD PRO Furst T, 1996, APPETITE, V26, P247, DOI 10.1006/appe.1996.0019 Garnett T., 2006, FRUIT VEGETABLE UK G Garnett T, 2014, J CLEAN PROD, V73, P10, DOI 10.1016/j.jclepro.2013.07.045 Garnett T, 2011, FOOD POLICY, V36, pS23, DOI 10.1016/j.foodpol.2010.10.010 Gates J., 2005, ARK HIST Q, VLXIV Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Government of Manitoba, 2013, LIF CYCL ASS AGR MAN Gronman K, 2016, J CLEAN PROD, V112, P2429, DOI 10.1016/j.jclepro.2015.09.129 Hamerschlag K., 2011, MEAT EATERS GUIDE CL Head M, 2014, J CLEAN PROD, V73, P165, DOI 10.1016/j.jclepro.2013.11.026 Hebden L, 2012, JMIR RES PROTOC, V1 Hendricks P., 2012, THESIS IPCC, 2014, CLIMATE CHANGE 2014 Macdiarmid JI, 2012, AM J CLIN NUTR, V96, P632, DOI 10.3945/ajcn.112.038729 MacLeod M, 2013, GREENHOUSE GAS EMISS Maraseni TN, 2009, J AGR SCI, V147, P117, DOI 10.1017/S0021859608008411 Maraseni TN, 2010, J ENVIRON SCI HEAL B, V45, P578, DOI 10.1080/03601234.2010.493497 Marreiros C., 2009, CONCEPTUAL FRAMEWORK Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011 Mekonnen MM, 2012, ECOSYSTEMS, V15, P401, DOI 10.1007/s10021-011-9517-8 Ministere de lAgriculture des Pecheries et de lAlimentation du Quebec (MAPAQ), 2014, MON IND BAEUF VEAU Q Ministere de lAgriculture des Pecheries et de lAlimentation du Quebec (MAPAQ), 2006, EST CONS GRAINS TET Mushtaq S, 2013, AGR SYST, V117, P78, DOI 10.1016/j.agsy.2012.12.009 NRC, 2000, NUTR REQ BEEF CATTL OMAFRA, 2014, HIST PROV EST CROP 1 Ozilgen M, 2011, ENERGY, V36, P5954, DOI 10.1016/j.energy.2011.08.020 Pelletier N, 2008, ENVIRON MANAGE, V42, P989, DOI 10.1007/s00267-008-9155-x Pelletier N, 2010, AGR SYST, V103, P380, DOI 10.1016/j.agsy.2010.03.009 Perrin A, 2014, INT J LIFE CYCLE ASS, V19, P1247, DOI 10.1007/s11367-014-0724-3 Rankin M., ESTIMATING CORN SILA Reijnders L, 2003, AM J CLIN NUTR, V78, p664S, DOI 10.1093/ajcn/78.3.664S Roheim CA, 2009, MAR RESOUR ECON, V24, P301, DOI 10.1086/mre.24.3.42629657 Sandars D. L., 2006, ISO205 DEFRA CRANF U Schouten G, 2011, ECOL ECON, V70, P1891, DOI 10.1016/j.ecolecon.2011.03.012 Searates LP, 2013, DISTANCES AND TIME Statistics Canada, 2014, CANSIM TABL 0010013 Statistics Canada, 2014, CANSIM TABL 001 0010 Steinfeld H., 2006, LIVESTOCKS LONG SHAD Sullivan C, 2002, WORLD DEV, V30, P1195, DOI 10.1016/S0305-750X(02)00035-9 Thibert J, 2011, ECOL ECON, V70, P1814, DOI 10.1016/j.ecolecon.2011.05.008 Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108 Vanclay JK, 2011, J CONSUM POLICY, V34, P153, DOI 10.1007/s10603-010-9140-7 Venkat K, 2012, J SUSTAIN AGR, V36, P620, DOI 10.1080/10440046.2012.672378 Vermeir I, 2006, J AGR ENVIRON ETHIC, V19, P169, DOI 10.1007/s10806-005-5485-3 Verplanken B, 2006, J PUBLIC POLICY MARK, V25, P90, DOI 10.1509/jppm.25.1.90 Wang D., 2011, EXAMINATION INFORM S Weber CL, 2008, ENVIRON SCI TECHNOL, V42, P3508, DOI 10.1021/es702969f Wognum PM, 2011, ADV ENG INFORM, V25, P65, DOI 10.1016/j.aei.2010.06.001 World Wildlife Fund (WWF), 2010, CERT ROUNDT WWF REV Wurtenberger L, 2006, ECOL ECON, V57, P679, DOI 10.1016/j.ecolecon.2005.06.004 Yossapol C., 2008, LIFE CYCLE ASSESSMEN Young W, 2010, SUSTAIN DEV, V18, P20, DOI 10.1002/sd.394 NR 71 TC 6 Z9 6 U1 1 U2 95 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 1 PY 2016 VL 135 BP 1351 EP 1362 DI 10.1016/j.jclepro.2016.06.143 PG 12 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DV3AH UT WOS:000382792900116 DA 2019-04-09 ER PT J AU Okemwa, GM Kaunda-Arara, B Kimani, EN Ogutu, B AF Okemwa, G. M. Kaunda-Arara, B. Kimani, E. N. Ogutu, B. TI Catch composition and sustainability of the marine aquarium fishery in Kenya SO FISHERIES RESEARCH LA English DT Article DE Coral reef fish; Aquarium trade; Risk assessment; Western Indian Ocean ID CORAL-REEF FISH; PRAWN-FISHERY; COASTAL KENYA; POPULATIONS; TRADE; SUSCEPTIBILITY; MANAGEMENT; HABITAT; WEST; ANEMONEFISHES AB Management of the marine aquarium fishery in Kenya and most of the Western Indian Ocean (WIO) region is challenged by a poor understanding of the status and impacts of the fishery on stocks due to lack of long-term species-specific data sets. In this study, we analyzed commercial catch and effort data over a six-year period (2006-2011), provided by a major exporter, constituting over 70% of the total national catch, in order to assess spatial and temporal variations in catch composition for 11 fishing grounds in coastal Kenya. In addition, a semi-quantitative risk assessment based on Productivity Susceptibility Analysis (PSA) was applied on 102 target species to identify species at risk of overexploitation by the fishery. Between 2006 and 2011, approximately 1.54 million aquarium fish were collected constituting 220 species in 36 fish families. The catch was numerically dominated by Labridae (32%), Pomacentridae (14%), Serranidae (9%), Blenniidae (9%), Scorpaenidae (7%), Pomacanthidae (5%) and Acanthuridae (5%). Thirty-two species made up 80% of the catch with the cleaner wrasse, Labroides dimidiatus and the anthias, Pseudanthias squamipinnis being the most collected with a relative abundance of 11% and 7%, respectively. Multivariate nMDS analysis of the catch composition grouped the fishing grounds into three clusters and mostly influenced by the mode of fishing (snorkeling or SCUBA diving). Detrended Correspondence Analysis (DCA) further showed an association of some species to specific fishing grounds. The PSA showed that 91 species (90%) fell in the high productivity and low susceptibility risk categories placing them at a relatively low risk of depletion by the fishery. However, four species: Pomacanthus maculosus, Pomacanthus chrysurus, Amphiprion allardi, and Amphiprion akallopisos were ranked at high risk, and seven species at moderate risk of overexploitation. The findings highlight the need for closer monitoring of the aquarium fishery in Kenya and the WIO; and institution of precautionary management measures such as area closures and species restrictions to ensure sustainability in the fishery. (C) 2016 Elsevier B.V. All rights reserved. C1 [Okemwa, G. M.; Kimani, E. N.] Kenya Marine & Fisheries Res Inst, POB 81651, Mombasa 80100, Kenya. [Okemwa, G. M.; Kaunda-Arara, B.] Univ Eldoret, Dept Fisheries & Aquat Sci, POB 1-125, Eldoret 30100, Kenya. [Ogutu, B.] State Dept Fisheries, POB 90423, Mombasa 80100, Kenya. RP Okemwa, GM (reprint author), Kenya Marine & Fisheries Res Inst, POB 81651, Mombasa 80100, Kenya.; Okemwa, GM (reprint author), Univ Eldoret, Dept Fisheries & Aquat Sci, POB 1-125, Eldoret 30100, Kenya. EM gokemwa@kmfri.co.ke OI Okemwa, Gladys M./0000-0002-1989-0723 FU WWF Russell E. Train PhD fellowship [RW24]; Kenya Coastal Development Project (KCDP) FX The cooperation of the aquarium fish trade companies and fishers in provision of catch data and information is highly appreciated. The authors thank the Director Kenya Marine and Fisheries Research Institute (KMFRI), KMFRI staff and the State Department of fisheries for logistical support. Funding for this research was supported by grants from WWF Russell E. Train PhD fellowship (grant # RW24) to GMO, the Western Indian Ocean Marine Science Association (WIOMSA)Marine Science for Management (MASMA) programme for catch data collection and analysis. The Kenya Coastal Development Project (KCDP) supported consultative workshops for the risk assessment. We thank three anonymous reviewers for their inputs and comments which greatly improved the quality of the manuscript. CR Abesamis RA, 2010, CORAL REEFS, V29, P911, DOI 10.1007/s00338-010-0653-y Almany GR, 2007, SCIENCE, V316, P742, DOI 10.1126/science.1140597 ANDREWS C, 1990, J FISH BIOL, V37, P53, DOI 10.1111/j.1095-8649.1990.tb05020.x Arrizabalaga H, 2011, AQUAT LIVING RESOUR, V24, P1, DOI 10.1051/alr/2011007 Bender MG, 2013, ORYX, V47, P259, DOI 10.1017/S003060531100144X BRAY JR, 1957, ECOL MONOGR, V27, P326 Bruckner AW, 2005, REV BIOL TROP, V53, P127 Bshary R, 2003, J ANIM ECOL, V72, P169, DOI 10.1046/j.1365-2656.2003.00683.x Clague E.G., 2011, BIOL LETT Clarke K.R., 2001, CHANGE MARINE COMMUN, V28, P167 Clarke KR, 2006, PRIMER VERSION 6 USE Cope JM, 2011, N AM J FISH MANAGE, V31, P589, DOI 10.1080/02755947.2011.591264 Darling ES, 2011, BIOL INVASIONS, V13, P2045, DOI 10.1007/s10530-011-0020-0 Dee LE, 2014, BIOL CONSERV, V169, P225, DOI 10.1016/j.biocon.2013.11.025 DeMartini EE, 2010, MAR FRESHWATER RES, V61, P532, DOI 10.1071/MF09141 Doherty Peter J., 2002, P327, DOI 10.1016/B978-012615185-5/50019-0 Dransfeld L, 2013, AQUAT LIVING RESOUR, V26, P307, DOI 10.1051/alr/2013066 Ekaratne S.U.K., 2000, BOBPREP88 Eschmeyer W.N., 2016, CATALOG FISHES GENER FAUTIN DG, 1986, ENVIRON BIOL FISH, V15, P171, DOI 10.1007/BF00002992 Fujita R, 2013, FISH FISH Government of Kenya (GoK), 2009, STAT COAST REP INT M Green E, 2003, MARINE ORNAMENTAL SPECIES: COLLECTION, CULTURE & CONSERVATION, P31 Grutter AS, 1997, OECOLOGIA, V111, P137, DOI 10.1007/s004420050217 Hixon M.A., 1991, P475 Hobday AJ, 2011, FISH RES, V108, P372, DOI 10.1016/j.fishres.2011.01.013 Hobday AJ, 2007, R041072 AUSTR FISH M Jones AM, 2008, J FISH BIOL, V73, P753, DOI 10.1111/j.1095-8649.2008.01969.x JONES GP, 1990, ECOLOGY, V71, P1691, DOI 10.2307/1937578 Kaunda-Arara B, 2004, BIOL CONSERV, V118, P1, DOI 10.1016/j.biocon.2003.06.001 Kaunda-Arara B, 2009, AQUAT CONSERV, V19, pS10, DOI 10.1002/aqc.1038 Kolm N, 2003, CONSERV BIOL, V17, P910, DOI 10.1046/j.1523-1739.2003.01522.x Lecchini D, 2007, J EXP MAR BIOL ECOL, V341, P85, DOI 10.1016/j.jembe.2006.10.006 Lecchini D, 2006, FISHERIES SCI, V72, P40, DOI 10.1111/j.1444-2906.2006.01114.x Lubbock H.R., 1975, Environmental Conserv, V2, P229 Madduppa H.H., 2012, THESIS, P168 Magurran A. E., 1988, ECOLOGICAL DIVERSITY Marine Stewardship Council, 2010, FISH ASS METH 6 1 Maunder MN, 2006, ICES J MAR SCI, V63, P1373, DOI 10.1016/j.icejms.2006.05.008 Maunder MN, 2004, FISH RES, V70, P141, DOI 10.1016/j.fishres.2004.08.002 McClanahan TR, 2015, J BIOGEOGR, V42, P2414, DOI 10.1111/jbi.12604 McClanahan TR, 2001, ECOL APPL, V11, P559, DOI 10.2307/3060909 MCCLANAHAN TR, 1988, MAR ECOL PROG SER, V44, P191, DOI 10.3354/meps044191 McClanahan TR, 2000, ECOL APPL, V10, P1792, DOI 10.2307/2641239 McCully SR, 2013, INT COMM CONS ATL CO, V69, P1679 Micheli F, 2014, BIOL CONSERV, V176, P224, DOI 10.1016/j.biocon.2014.05.031 Milton DA, 2001, BIOL CONSERV, V101, P281, DOI 10.1016/S0006-3207(00)00232-9 Mwaluma JM, 2011, ENVIRON BIOL FISH, V90, P393, DOI 10.1007/s10641-010-9749-z Obura D., 1999, STATUS REPORTS PROJE, P32 Okemwa G., 2009, ADV COASTAL ECOLOGY Olivier K., 2001, FAO GLOBEFISH RES PR, V67 Patrick W.S., 2009, NMFSFSPO101 NOAA US Patrick WS, 2010, FISH B-NOAA, V108, P305 Rankin TL, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0108871 Rhyne Andrew L., 2012, AACL Bioflux, V5, P99 Rhyne AL, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035808 Rocliffe S, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103000 Roelofs A., 2008, SUSTAINABILITY ASSES Rubec P., 1987, MAR FISH MONIT, V2, P30 Sadovy Yvonne J., 2002, P391, DOI 10.1016/B978-012615185-5/50023-2 Samoilys M.A., 2011, ARTISANAL FISHING GE, P36 Samoilys MA, 1988, P 6 INT COR REEF S, V2, P261 Shuman CS, 2005, CORAL REEFS, V24, P564, DOI 10.1007/s00338-005-0027-z Shuman CS, 2004, ENVIRON CONSERV, V31, P339, DOI 10.1017/S0376892904001663 State Department of Fisheries (SDF), 2011, 17 SDF Stevenson TC, 2011, ICES J MAR SCI, V68, P813, DOI 10.1093/icesjms/fsr020 Stobutzki I., 2001, SUSTAINABILITY FISHE Swaleh K, 2015, ECOL INDIC, V50, P233, DOI 10.1016/j.ecolind.2014.11.013 Tebua S., 2005, THESIS, P128 Thornhill D.J, 2012, ECOLOGICAL IMPACTS P Tissot BN, 2003, CONSERV BIOL, V17, P1759, DOI 10.1111/j.1523-1739.2003.00379.x Wabnitz C, 2003, OCEAN AQUARIUM Waldie PA, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0021201 Watson DL, 2007, MAR BIOL, V152, P1197, DOI 10.1007/s00227-007-0767-0 Wood E., 2001, COLLECTION CORAL REE Wood E, 2001, AQUARIUM SCI CONSERV, V3, P65, DOI DOI 10.1023/A:1011391700880 Zhang CI, 2009, FISH RES, V100, P26, DOI 10.1016/j.fishres.2008.12.002 NR 77 TC 8 Z9 10 U1 3 U2 34 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0165-7836 EI 1872-6763 J9 FISH RES JI Fish Res. PD NOV PY 2016 VL 183 BP 19 EP 31 DI 10.1016/j.fishres.2016.04.020 PG 13 WC Fisheries SC Fisheries GA DV0HW UT WOS:000382599600003 DA 2019-04-09 ER PT J AU Sacchelli, S Garegnani, G Geri, F Grilli, G Paletto, A Zambelli, P Ciolli, M Vettorato, D AF Sacchelli, S. Garegnani, G. Geri, F. Grilli, G. Paletto, A. Zambelli, P. Ciolli, M. Vettorato, D. TI Trade-off between photovoltaic systems installation and agricultural practices on arable lands: An environmental and socio-economic impact analysis for Italy SO LAND USE POLICY LA English DT Article DE Solar energy; Spatial analysis; Open-source model; Sustainability constraint; Crop production; Trade-off evaluation ID RENEWABLE ENERGY; ELECTRICITY-GENERATION; EUROPEAN-UNION; SOLAR-CELLS; TECHNOLOGIES; BIOENERGY; MODEL; MANAGEMENT; BIOMASS; MARKET AB The paper introduces and discusses an open-source spatial-based model (called r.green.solar) able to quantify the energy production from solar photovoltaic (PV) ground-mounted panels. Socio-economic and environmental impacts can be evaluated by the model. The model starts from the theoretical quantity of solar PV potential energy and estimates a reduction of total amount of energy based on legal, technical, recommended and economic constraints. Model outputs were used for a trade-off analysis between energy prdduction and traditional crops for food feed cultivation on not irrigated arable land. The model was tested at regional level for a Mediterranean context (Italy). The results confirm that the economic profitability of PV systems follows a north-south gradient, but the main impacts are related to local peculiarities-such as the disposal of not irrigated arable land and the presence of constraints, in particular the landscape maintenance, the morphological variables and the specialization index-and crop yields. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Sacchelli, S.] Univ Florence, Dept Agr Food & Forest Syst Management, Ple Cascine 18, I-50144 Florence, Italy. [Sacchelli, S.; Garegnani, G.; Grilli, G.; Zambelli, P.; Vettorato, D.] European Acad Bolzano, Via G Di Vittorio 16, I-39100 Bolzano, Italy. [Geri, F.; Grilli, G.; Ciolli, M.] Univ Trento, Dept Civil Environm & Mech Engn, Via Mesiano 77, I-38123 Trento, Italy. [Paletto, A.] Council Agr Res & Econ, Forest Monitoring & Planning Res Unit CRA MPF, Pza Nicolini 6, I-38123 Villazzano, Trento, Italy. RP Sacchelli, S (reprint author), Univ Florence, Dept Agr Food & Forest Syst Management, Ple Cascine 18, I-50144 Florence, Italy. EM sandro.sacchelli@unifi.it RI ; Ciolli, Marco/D-8613-2014; Grilli, Gianluca/J-2553-2015 OI Zambelli, Pietro/0000-0002-6187-3572; Ciolli, Marco/0000-0001-8370-9039; Grilli, Gianluca/0000-0002-2082-4475; Garegnani, Giulia/0000-0002-7629-6667; Geri, Francesco/0000-0003-0668-539X; VETTORATO, DANIELE/0000-0002-5482-1723 FU European Regional Development Fund FX This study was conducted in the frame of the recharge.green project "Balancing Alpine Energy and Nature" (http://www.recharge-green.eu), which is carried out within the Alpine Space Programme, and is co-financed by the European Regional Development Fund. Authors wish to acknowledge Recharge.Green project partners, for their contribution to the research. CR Andini M, 2013, REG SCI URBAN ECON, V43, P1008, DOI 10.1016/j.regsciurbeco.2013.04.003 Bedin D., 2011, PVS BLOOM BUSINESS G Bilgili F, 2016, RENEW SUST ENERG REV, V54, P838, DOI 10.1016/j.rser.2015.10.080 Brown JF, 2014, AGR SYST, V127, P28, DOI 10.1016/j.agsy.2014.01.004 Brudermann T, 2013, ENERG POLICY, V61, P96, DOI 10.1016/j.enpol.2013.06.081 Calvert K, 2015, APPL GEOGR, V56, P209, DOI 10.1016/j.apgeog.2014.11.028 Chen SQ, 2015, RENEW SUST ENERG REV, V42, P78, DOI 10.1016/j.rser.2014.10.017 Chiabrando R, 2009, RENEW SUST ENERG REV, V13, P2441, DOI 10.1016/j.rser.2009.06.008 Cozzi M, 2014, INT J GLOBAL ENERGY, V37, P282, DOI 10.1504/IJGEI.2014.067671 DAINI P, 2000, IMPACT ASSESS PROJ A, V18, P43 Dominik R., 2014, SOCIOECONOMIC IMPACT Dubey S, 2013, ENRGY PROCED, V33, P322, DOI 10.1016/j.egypro.2013.05.073 Dupraz C, 2011, RENEW ENERG, V36, P2725, DOI 10.1016/j.renene.2011.03.005 European Environmental Agency, 2010, COR LAND COV 2006 RA Fagarazzi C., 2009, P 17 EUR BIOM C EXH, P330 Fthenakis V, 2009, RENEW SUST ENERG REV, V13, P1465, DOI 10.1016/j.rser.2008.09.017 Garegnani G., 2015, P FOSS4G EUR COM 201, P39 Garegnani G., 2015, E P 36 IAHR WORLD C Green MA, 2002, PHYSICA E, V14, P65, DOI 10.1016/S1386-9477(02)00361-2 Hastik R, 2015, RENEW SUST ENERG REV, V48, P608, DOI 10.1016/j.rser.2015.04.004 Heras-Saizarbitoria I, 2011, RENEW SUST ENERG REV, V15, P4685, DOI 10.1016/j.rser.2011.07.083 Huld T, 2012, SOL ENERGY, V86, P1803, DOI 10.1016/j.solener.2012.03.006 INEA, 2014, BANC DAT VAL FOND IN INEA, 2013, AN RIS EC AZ RICA IN ISTAT, 2010, 6 GEN CENS AGR 2010 Karaveli AB, 2015, ENERGY, V84, P656, DOI 10.1016/j.energy.2015.03.025 Kaygusuz K, 2009, ENERG SOURCE PART A, V31, P1376, DOI 10.1080/15567030802089664 Kouloumpis V, 2013, LECT N ENERG, V23, P203, DOI 10.1007/978-1-4471-5595-9_12 Miller A, 2012, UTILITY SCALE SOLAR National Cartographic Portal, 2015, PROG NAT Neff T. L., 1981, STUDY PHOTOVOLTAIC E Nguyen HT, 2010, SOL ENERGY, V84, P831, DOI 10.1016/j.solener.2010.02.009 Nonhebel S, 2005, RENEW SUST ENERG REV, V9, P191, DOI 10.1016/j.rser.2004.02.003 Phillips J, 2013, RENEW SUST ENERG REV, V27, P435, DOI 10.1016/j.rser.2013.07.003 Romano G, 2015, LAND USE POLICY, V48, P131, DOI 10.1016/j.landusepol.2015.05.013 Sacchelli S, 2013, IFOREST, V6, P285, DOI 10.3832/ifor0897-006 SHOCKLEY W, 1961, J APPL PHYS, V32, P510, DOI 10.1063/1.1736034 SITAP, 2015, LANDSC CONSTR MAP MI Sliz-Szkliniarz B, 2013, LAND USE POLICY, V35, P257, DOI 10.1016/j.landusepol.2013.05.018 Suri M, 2007, SOL ENERGY, V81, P1295, DOI 10.1016/j.solener.2006.12.007 Tsantopoulos G, 2014, ENERG POLICY, V71, P94, DOI 10.1016/j.enpol.2014.03.025 Turconi R, 2013, RENEW SUST ENERG REV, V28, P555, DOI 10.1016/j.rser.2013.08.013 Upham P, 2014, J CLEAN PROD, V65, P261, DOI 10.1016/j.jclepro.2013.09.041 Valodka I, 2015, PROCD SOC BEHV, V213, P123, DOI 10.1016/j.sbspro.2015.11.414 Verkerk PJ, 2011, FOREST ECOL MANAG, V261, P2007, DOI 10.1016/j.foreco.2011.02.027 Wanderer T, 2015, ENVIRON IMPACT ASSES, V52, P2, DOI 10.1016/j.eiar.2014.09.002 Yuan XL, 2015, J CLEAN PROD, V92, P168, DOI 10.1016/j.jclepro.2014.12.097 Zambelli P, 2012, ENVIRON MODELL SOFTW, V38, P203, DOI 10.1016/j.envsoft.2012.05.016 Zanon B, 2013, LAND USE POLICY, V32, P343, DOI 10.1016/j.landusepol.2012.11.009 NR 49 TC 11 Z9 11 U1 6 U2 74 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD NOV PY 2016 VL 56 BP 90 EP 99 DI 10.1016/j.landusepol.2016.04.024 PG 10 WC Environmental Studies SC Environmental Sciences & Ecology GA DQ9VI UT WOS:000379557000010 DA 2019-04-09 ER PT J AU Paudyal, K Baral, H Keenan, RJ AF Paudyal, Kiran Baral, Himlal Keenan, Rodney J. TI Local actions for the common good: Can the application of the ecosystem services concept generate improved societal outcomes from natural resource management? SO LAND USE POLICY LA English DT Article DE Livelihoods; Natural resource management; Land use planning; Ecosystem services; International development ID SOCIAL-ECOLOGICAL SYSTEMS; ENVIRONMENTAL SERVICES; TRADE-OFFS; LAND-USE; DEVELOPING-COUNTRIES; POVERTY ALLEVIATION; COSTA-RICA; PAYMENTS; SUSTAINABILITY; PERSPECTIVE AB Nature provides a wide range of ecosystem services (ES) that are vital for human well-being and livelihoods. The supply of these services is being threatened by local and global pressures. Managing for the provision of ES can provide a range of benefits that, in economic terms, can be defined as, ptivate, common or public goods. Inspired by the theme 'local action for the common good' of 7th Ecosystem Service Partnership conference held in Costa Rica, this paper examines the key issues in policy and management for production and management of ES in a way that meet the broader common good. The ES approach is not widely understood by policymakers, the general public and the private sector. While the approach is a promising contribution to providing for common good outcomes from the management of natural resources, much needs to be done to ensure that it achieves the dual purposes of maintaining and enhancing the supply of different services and improving the livelihoods of the rural poor in developing countries. Critical areas for further attention are assessments of ecosystem services in developing countries that incorporate local and indigenous knowledge, clear links to policy and decision making, public education and engagement about the value of ecosystem services and payment mechanisms that drive local actions and contribute to local livelihoods. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Paudyal, Kiran] Univ Melbourne, Sch Ecosyst & Forest Sci, Fac Sci, 221 Bouverie St, Carlton, Vic 3053, Australia. [Baral, Himlal] Ctr Int Forestry Res, Jalan CIFOR,Barat 16, Bogor 115, Indonesia. [Keenan, Rodney J.] Univ Melbourne, Sch Ecosyst & Forest Sci, Fac Sci, 221 Bouverie St, Carlton, Vic 3053, Australia. RP Paudyal, K (reprint author), Univ Melbourne, Sch Ecosyst & Forest Sci, Fac Sci, 221 Bouverie St, Carlton, Vic 3053, Australia. EM kpaudyal@student.unimelb.edu.au; H.Baral@cgiar.org; rkeenan@unimelb.edu.au OI Paudyal, Kiran/0000-0003-4185-7484; Keenan, Rodney/0000-0002-2804-4975 FU Department of Resource Management and Geography, the University of Melbourne FX The authors would like to thank presenters and participants of the ESP conference held from 8 to 12 September 2014 in San Jose, Costa Rica for their contributions to the ideas in this paper. The authors also wish to thank Prof Kim Lowell, CRCSI, Australia, Laxmi Dutt Bhatta, ICIMOD Nepal and three anonymous reviewers for their constructive comments and feedback to earlier versions of the manuscript. Thanks also go to the Department of Resource Management and Geography, the University of Melbourne for providing financial support for Kiran Paudyal to attend this conference. CR Adhikari B, 2013, CURR OPIN ENV SUST, V5, P72, DOI 10.1016/j.cosust.2012.11.001 Agrawal A, 2006, WORLD DEV, V34, P149, DOI 10.1016/j.worlddev.2005.07.013 Agrawal A, 2001, WORLD DEV, V29, P1649, DOI 10.1016/S0305-750X(01)00063-8 Arriagada RA, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0131544 Asah ST, 2014, ECOSYST SERV, V10, P180, DOI 10.1016/j.ecoser.2014.08.003 Baral H, 2014, LAND USE POLICY, V39, P54, DOI 10.1016/j.landusepol.2014.03.008 Baral H, 2014, J ENVIRON PLANN MAN, V57, P961, DOI 10.1080/09640568.2013.824872 Baral H, 2013, ECOL COMPLEX, V13, P35, DOI 10.1016/j.ecocom.2012.11.001 Bateman IJ, 2013, SCIENCE, V341, P45, DOI 10.1126/science.1234379 Bennett EM, 2015, CURR OPIN ENV SUST, V14, P76, DOI 10.1016/j.cosust.2015.03.007 Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x Bezlepkina I, 2014, LAND USE POLICY, V37, P1, DOI 10.1016/j.landusepol.2013.03.010 Bhatta Laxmi D., 2014, International Journal of Biodiversity Science Ecosystem Services & Management, V10, P289, DOI 10.1080/21513732.2014.973908 Bremer LL, 2014, ECOSYST SERV, V8, P148, DOI 10.1016/j.ecoser.2014.03.007 Buscher B., 2012, CONSERV SOC, V10, P29 Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106 Corbera E, 2015, ECOL ECON, V110, P154, DOI 10.1016/j.ecolecon.2014.12.017 Costanza R, 2008, BIOL CONSERV, V141, P350, DOI 10.1016/j.biocon.2007.12.020 Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002 Daw T, 2011, ENVIRON CONSERV, V38, P370, DOI 10.1017/S0376892911000506 Daw TM, 2015, P NATL ACAD SCI USA, V112, P6949, DOI 10.1073/pnas.1414900112 de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006 de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7 Dressler W, 2010, ENVIRON CONSERV, V37, P5, DOI 10.1017/S0376892910000044 Duke EA, 2014, ECOL ECON, V103, P44, DOI 10.1016/j.ecolecon.2014.04.013 ESP (Ecosystem Service Partnership), 2015, PREV C 7 C ECOS SERV Farley J, 2012, ECOSYST SERV, V1, P40, DOI 10.1016/j.ecoser.2012.07.002 Felipe-Lucia M. R., 2014, ECOL SOC, V20 Fischer J, 2015, CURR OPIN ENV SUST, V14, P144, DOI 10.1016/j.cosust.2015.06.002 Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112 Haase D, 2012, ECOL SOC, V17, DOI 10.5751/ES-04853-170322 HARDIN G, 1968, SCIENCE, V162, P1243 Hecht S, 2010, LAND USE POLICY, V27, P161, DOI 10.1016/j.landusepol.2009.08.010 Helfrich S, 2012, WEALTH COMMONS WORLD, P462 Holt AR, 2009, BIOL LETTERS, V5, P580, DOI 10.1098/rsbl.2009.0406 Huang M., 2009, Journal of Sustainable Forestry, V28, P551, DOI 10.1080/10549810902794287 Inge Liekens, 2013, LAND USE POLICY, V30, p549 Jax K, 2013, ECOL ECON, V93, P260, DOI 10.1016/j.ecolecon.2013.06.008 Keenan R., 2009, BIODIVERSITY OUTCOME Kinzig AP, 2011, SCIENCE, V334, P603, DOI 10.1126/science.1210297 Kosoy N, 2007, ECOL ECON, V61, P446, DOI 10.1016/j.ecolecon.2006.03.016 Kumar P., 2010, EC ECOSYSTEMS BIODIV Kunseler EM, 2015, FUTURES, V66, P1, DOI 10.1016/j.futures.2014.10.006 Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x Leimona B, 2015, ECOSYST SERV, V12, P16, DOI 10.1016/j.ecoser.2014.12.012 Lele S, 2013, CONSERV SOC, V11, P343, DOI 10.4103/0972-4923.125752 Liverman D, 2004, ANN ASSOC AM GEOGR, V94, P734 Lu YH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031782 Lurie S, 2013, ECOSYST SERV, V6, P93, DOI 10.1016/j.ecoser.2013.09.005 Maes J, 2012, BIOL CONSERV, V155, P1, DOI 10.1016/j.biocon.2012.06.016 Mahon R., 2014, ECOSYSTEM SERVICES Martin-Ortega J, 2013, ECOSYST SERV, V6, P122, DOI 10.1016/j.ecoser.2013.09.008 Matulis BS, 2014, ECOL ECON, V104, P155, DOI 10.1016/j.ecolecon.2014.04.010 McCauley DJ, 2006, NATURE, V443, P27, DOI 10.1038/443027a Millennium Ecosystem Assessment [MEA], 2005, EC HUM WELL BEING SY Muradian R, 2010, ECOL ECON, V69, P1202, DOI 10.1016/j.ecolecon.2009.11.006 Naeem B.S., 2015, SCIENCE, V347, P1206 Nahlik AM, 2012, ECOL ECON, V77, P27, DOI 10.1016/j.ecolecon.2012.01.001 Nesheim I, 2014, LAND USE POLICY, V37, P60, DOI 10.1016/j.landusepol.2012.04.024 Norgaard RB, 2010, ECOL ECON, V69, P1219, DOI 10.1016/j.ecolecon.2009.11.009 Ostrom E, 1990, GOVERNING COMMONS EV Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133 Pagiola S, 2008, ECOL ECON, V65, P712, DOI 10.1016/j.ecolecon.2007.07.033 Paudyal K, 2015, ECOSYST SERV, V13, P81, DOI 10.1016/j.ecoser.2015.01.007 Pinchot Gifford, 1910, FIGHT CONSERVATION Pinho PF, 2014, ECOSYST SERV, V8, P97, DOI 10.1016/j.ecoser.2014.03.002 Porras I, 2013, LEARNING 20 YEARS PA Raudsepp-Hearne C, 2010, P NATL ACAD SCI USA, V107, P5242, DOI 10.1073/pnas.0907284107 Reyers B, 2013, FRONT ECOL ENVIRON, V11, P268, DOI 10.1890/120144 Rico Garcia-Amado L, 2013, ECOL ECON, V89, P92, DOI DOI 10.1016/J.EC0LEC0N.2013.02.002 Robalino J, 2013, LAND ECON, V89, P432, DOI 10.3368/le.89.3.432 Schroter M, 2014, CONSERV LETT, V7, P514, DOI 10.1111/conl.12091 Sitas N, 2013, LANDSCAPE ECOL, DOI 10.1007/s10980-013-9952-3 Sitas N, 2014, SUSTAINABILITY-BASEL, V6, P3802, DOI 10.3390/su6063802 Sunderlin WD, 2005, WORLD DEV, V33, P1383, DOI 10.1016/j.worlddev.2004.10.004 Villa F, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2012.0286 Waage S., 2014, PRIVATE SECTOR ENGAG Wang J, 2012, LAND USE POLICY, V29, P737, DOI 10.1016/j.landusepol.2011.11.010 Wunder S., 2014, ECOL EC Wunder S, 2008, ECOL ECON, V65, P834, DOI 10.1016/j.ecolecon.2008.03.010 Zhen NH, 2014, LAND USE POLICY, V40, P28, DOI 10.1016/j.landusepol.2013.05.004 NR 81 TC 12 Z9 13 U1 4 U2 141 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD NOV PY 2016 VL 56 BP 327 EP 332 DI 10.1016/j.landusepol.2015.11.010 PG 6 WC Environmental Studies SC Environmental Sciences & Ecology GA DQ9VI UT WOS:000379557000030 DA 2019-04-09 ER PT J AU Shinagawa, T Takanabe, K AF Shinagawa, Tatsuya Takanabe, Kazuhiro TI New Insight into the Hydrogen Evolution Reaction under Buffered Near-Neutral pH Conditions: Enthalpy and Entropy of Activation SO JOURNAL OF PHYSICAL CHEMISTRY C LA English DT Article ID SINGLE-CRYSTAL SURFACES; ELECTROCHEMICAL REDUCTION; WATER ELECTROLYSIS; METAL-SURFACES; TEMPERATURE-DEPENDENCE; ALKALINE ELECTROLYTES; OXYGEN REDUCTION; EXCHANGE CURRENT; STAINLESS-STEEL; ACID-SOLUTIONS AB Electrochemical conversion of thermodynamically stable chemicals of water and carbon dioxide is regarded as a core technology for achieving sustainability in our society. In both cases, the electrochemical hydrogen evolution reaction (HER) is a key reaction, particularly at near-neutral pH. This study addresses the kinetic aspects of the HER in buffered near-neutral pH conditions using a variety of electrode materials (W, Ni, Pt, Au, and Cu) over a wide temperature range (299-346 K). When the overall performance was summarized with respect to the binding energy of the reaction intermediate species, a classic volcano-shaped relationship was obtained. Interestingly, the temperature sensitivity analysis disclosed that smaller activation energies did not always lead to higher performance in 1.5 mol L-1 K-phosphate solution (pH 5.8). Detailed analysis of the temperature- and potential-dependent parameters revealed that smaller activation energies coincided with smaller values of the pre-exponential factor in the Arrhenius' equation (associated with the entropy of activation). Due to the trade-off relationship of enthalpy entropy compensation in the current system, the conventional approach of mixing elements of lower and higher binding energies to the intermediate species failed: even though Ni Cu showed lower apparent activation energy, its activity toward the HER was between that of Ni and Cu due to the lowered entropy of activation. This study demonstrates the unrevealed fundamental aspects of the HER in buffered near-neutral condition, which contributes to the rational development of efficient energy and material conversion systems. C1 [Takanabe, Kazuhiro] King Abdullah Univ Sci & Technol, KAUST Catalysis Ctr KCC, Thuwal 239556900, Saudi Arabia. King Abdullah Univ Sci & Technol, Phys Sci & Engn Div PSE, Thuwal 239556900, Saudi Arabia. RP Takanabe, K (reprint author), King Abdullah Univ Sci & Technol, KAUST Catalysis Ctr KCC, Thuwal 239556900, Saudi Arabia. EM kazuhiro.takanabe@kaust.edu.sa RI Shinagawa, Tatsuya/L-5686-2016; Takanabe, Kazuhiro/D-6119-2011 OI Shinagawa, Tatsuya/0000-0002-5240-7342; Takanabe, Kazuhiro/0000-0001-5374-9451 FU King Abdullah University of Science and Technology FX The research reported in this work was supported by the King Abdullah University of Science and Technology. CR Atkins P. W., 2006, ATKINS PHYS CHEM Auinger M, 2011, PHYS CHEM CHEM PHYS, V13, P16384, DOI 10.1039/c1cp21717h Bard A. J., 2010, ELECTROCHEMICAL METH BOCKRIS JO, 1965, J ELECTROCHEM SOC, V112, P1025, DOI 10.1149/1.2423335 Bonke SA, 2015, ENERG ENVIRON SCI, V8, P2791, DOI 10.1039/c5ee02214b Cardoso DSP, 2015, RSC ADV, V5, P43456, DOI 10.1039/c5ra06517h Carmo M, 2013, INT J HYDROGEN ENERG, V38, P4901, DOI 10.1016/j.ijhydene.2013.01.151 Conway BE, 1998, ELECTROCHIM ACTA, V44, P1109, DOI 10.1016/S0013-4686(98)00214-X CONWAY BE, 1957, J CHEM PHYS, V26, P532, DOI 10.1063/1.1743339 Conway BE, 2000, ELECTROCHIM ACTA, V45, P4075, DOI 10.1016/S0013-4686(00)00523-5 CONWAY BE, 1962, ELECTROCHIM ACTA, V7, P39 Cox CR, 2014, P NATL ACAD SCI USA, V111, P14057, DOI 10.1073/pnas.1414290111 Da Silva S, 2004, ELECTROCHIM ACTA, V49, P4553, DOI 10.1016/j.electacta.2004.04.039 Danilovic N, 2012, ANGEW CHEM INT EDIT, V51, P12495, DOI 10.1002/anie.201204842 Danilovic N, 2013, J SERB CHEM SOC, V78, P2007, DOI 10.2298/JSC131118136D Durst J, 2015, J ELECTROCHEM SOC, V162, pF190, DOI 10.1149/2.0981501jes FUJISHIMA A, 1972, NATURE, V238, P37, DOI 10.1038/238037a0 Garcia-Esparza AT, 2013, CHEMSUSCHEM, V6, P168, DOI 10.1002/cssc.201200780 Glasstone S., 1964, THEORY RATE PROCESSE Greeley J, 2006, NAT MATER, V5, P909, DOI 10.1038/nmat1752 Hansen HA, 2014, J PHYS CHEM C, V118, P6706, DOI 10.1021/jp4100608 Haussener S, 2013, ENERG ENVIRON SCI, V6, P3605, DOI 10.1039/c3ee41302k Hisatomi T, 2015, CATAL LETT, V145, P95, DOI 10.1007/s10562-014-1397-z HORI Y, 1985, CHEM LETT, P1695, DOI 10.1246/cl.1985.1695 Jaramillo TF, 2007, SCIENCE, V317, P100, DOI 10.1126/science.1141483 Kageshima Y, 2016, SCI REP-UK, V6, DOI 10.1038/srep24633 Katsounaros I, 2011, ELECTROCHEM COMMUN, V13, P634, DOI 10.1016/j.elecom.2011.03.032 Kibsgaard J, 2014, NAT CHEM, V6, P248, DOI [10.1038/NCHEM.1853, 10.1038/nchem.1853] Koehl M, 2011, SOL ENERG MAT SOL C, V95, P1638, DOI 10.1016/j.solmat.2011.01.020 Kuhl KP, 2014, J AM CHEM SOC, V136, P14107, DOI 10.1021/ja505791r Kwon Y, 2016, CHEMELECTROCHEM, V3, P1012, DOI 10.1002/celc.201600068 Li CW, 2014, NATURE, V508, P504, DOI 10.1038/nature13249 Limmer DT, 2013, P NATL ACAD SCI USA, V110, P4200, DOI 10.1073/pnas.1301596110 Liu L, 2001, CHEM REV, V101, P673, DOI 10.1021/cr990416z Liu M, 2016, NATURE, V537, P382, DOI 10.1038/nature19060 Liu SZ, 2016, J PHYS CHEM C, V120, P15288, DOI 10.1021/acs.jpcc.6b05126 Maeda K, 2006, NATURE, V440, P295, DOI 10.1038/440295a Markovic NM, 1996, J CHEM SOC FARADAY T, V92, P3719, DOI 10.1039/ft9969203719 Markovic NM, 1997, J PHYS CHEM B, V101, P5405, DOI 10.1021/jp970930d MILES MH, 1975, J ELECTROANAL CHEM, V60, P89, DOI 10.1016/S0022-0728(75)80205-1 MILES MH, 1976, J ELECTROCHEM SOC, V123, P332, DOI 10.1149/1.2132820 Munoz LD, 2010, INT J HYDROGEN ENERG, V35, P8561, DOI 10.1016/j.ijhydene.2010.05.101 Neyerlin KC, 2007, J ELECTROCHEM SOC, V154, pB631, DOI 10.1149/1.2733987 Ngamlerdpokin K, 2014, INT J HYDROGEN ENERG, V39, P2505, DOI 10.1016/j.ijhydene.2013.12.013 Nocera DG, 2009, INORG CHEM, V48, P10001, DOI 10.1021/ic901328v Nocera DG, 2009, CHEMSUSCHEM, V2, P387, DOI 10.1002/cssc.200900040 Norskov JK, 2005, J ELECTROCHEM SOC, V152, pJ23, DOI 10.1149/1.1856988 Nurlaela E, 2016, ACS CATAL, V6, P1713, DOI 10.1021/acscatal.5b02804 Peterson AA, 2012, J PHYS CHEM LETT, V3, P251, DOI 10.1021/jz201461p Quaino P, 2014, BEILSTEIN J NANOTECH, V5, P846, DOI 10.3762/bjnano.5.96 Rasul S, 2015, ANGEW CHEM INT EDIT, V54, P2146, DOI 10.1002/anie.201410233 Rossmeisl J, 2016, CATAL TODAY, V262, P36, DOI 10.1016/j.cattod.2015.08.016 Sarfraz S, 2016, ACS CATAL, V6, P2842, DOI 10.1021/acscatal.6b00269 Schmidt TJ, 2002, J ELECTROANAL CHEM, V524, P252, DOI 10.1016/S0022-0728(02)00683-6 Sharifi-Asl S, 2013, J ELECTROCHEM SOC, V160, pH382, DOI 10.1149/2.143306jes Sharp K, 2001, PROTEIN SCI, V10, P661, DOI 10.1110/ps.37801 Sheng WC, 2010, J ELECTROCHEM SOC, V157, pB1529, DOI 10.1149/1.3483106 Shinagawa T, 2017, J ENERGY CHEM, V26, P259, DOI 10.1016/j.jechem.2016.07.007 Shinagawa T, 2016, J PHYS CHEM C, V120, P1785, DOI 10.1021/acs.jpcc.5b12137 Shinagawa T, 2015, J PHYS CHEM C, V119, P20453, DOI 10.1021/acs.jpcc.5b05295 Shinagawa T, 2015, SCI REP-UK, V5, DOI 10.1038/srep13801 Shinagawa T, 2015, PHYS CHEM CHEM PHYS, V17, P15111, DOI 10.1039/c5cp02330k Shinagawa T, 2014, CHEMELECTROCHEM, V1, P1497, DOI 10.1002/celc.201402085 Skulason E, 2007, PHYS CHEM CHEM PHYS, V9, P3241, DOI 10.1039/b700099e Staszak-Jirkovsky J, 2016, NAT MATER, V15, P197, DOI [10.1038/NMAT4481, 10.1038/nmat4481] STOJEK Z, 1994, ANAL CHEM, V66, P1507, DOI 10.1021/ac00081a024 Strmcnik D, 2009, NAT CHEM, V1, P466, DOI [10.1038/NCHEM.330, 10.1038/nchem.330] Strmcnik D., 2016, NANO ENERGY, DOI [10.1016/j.nano-en.2016.04.017, DOI 10.1016/J.NANO-EN.2016.04.017] Strmcnik D, 2013, NAT CHEM, V5, P300, DOI [10.1038/NCHEM.1574, 10.1038/nchem.1574] Subbaraman R, 2012, NAT MATER, V11, P550, DOI [10.1038/nmat3313, 10.1038/NMAT3313] Subbaraman R, 2011, SCIENCE, V334, P1256, DOI 10.1126/science.1211934 Suntivich J, 2013, ELECTROCATALYSIS-US, V4, P49, DOI 10.1007/s12678-012-0118-x Takanabe K, 2016, TOP CURR CHEM, V371, P73, DOI 10.1007/128_2015_646 TRASATTI S, 1972, J ELECTROANAL CHEM, V39, P163, DOI 10.1016/0368-1874(72)85118-9 Urbain F, 2016, MAT SCI SEMICON PROC, V42, P142, DOI 10.1016/j.mssp.2015.08.045 Varela AS, 2016, CATAL TODAY, V260, P8, DOI 10.1016/j.cattod.2015.06.009 Verdaguer-Casadevall A, 2015, J AM CHEM SOC, V137, P9808, DOI 10.1021/jacs.5b06227 Walter MG, 2010, CHEM REV, V110, P6446, DOI 10.1021/cr1002326 Wang Q, 2016, NAT MATER, V15, P611, DOI [10.1038/nmat4589, 10.1038/NMAT4589] WENDT H, 1983, ELECTROCHIM ACTA, V28, P27, DOI 10.1016/0013-4686(83)85083-X White R.E., 1983, MODERN ASPECTS ELECT YING RY, 1988, J ELECTROCHEM SOC, V135, P2964, DOI 10.1149/1.2095470 Zeng K, 2010, PROG ENERG COMBUST, V36, P307, DOI 10.1016/j.pecs.2009.11.002 NR 83 TC 5 Z9 5 U1 5 U2 58 PU AMER CHEMICAL SOC PI WASHINGTON PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA SN 1932-7447 J9 J PHYS CHEM C JI J. Phys. Chem. C PD OCT 27 PY 2016 VL 120 IS 42 BP 24187 EP 24196 DI 10.1021/acs.jpcc.6b07954 PG 10 WC Chemistry, Physical; Nanoscience & Nanotechnology; Materials Science, Multidisciplinary SC Chemistry; Science & Technology - Other Topics; Materials Science GA EA5DY UT WOS:000386640800031 DA 2019-04-09 ER PT J AU Farid, AM Lubega, WN Hickman, WW AF Farid, Amro M. Lubega, William N. Hickman, William W. TI Opportunities for energy-water nexus management in the Middle East & North Africa SO ELEMENTA-SCIENCE OF THE ANTHROPOCENE LA English DT Article AB Electric power is required to produce, treat, distribute, and recycle water while water is required to generate and consume electricity. Naturally, this energy-water nexus is most evident in multi-utilities that provide electricity and water but still exists when the nexus has distinct organizations as owners and operators. Therefore, the sustainability question that arises from energy-water trade-offs and synergies is very much tied to the potential for economies of scope. Furthermore, in the Middle East and North Africa (MENA) region, multi-utilities are not only common, but also the nexus is particularly exacerbated by the high energy intensity of the water supply due to limited fresh water resources. The goal of this paper is to identify and motivate several opportunities for enhanced integrated operations management and planning in the energy-water nexus in multi-utilities in the MENA. It proceeds in four parts. First, an exposition of the energy-water nexus especially as it applies to the MENA is given. This discussion focuses on the electric power system, the potable water distribution system, and thirdly, the wastewater distribution system. Second, the paper shifts to opportunities in integrated operations management highlighted by an energy-water nexus supply-side economic dispatch illustration. Thirdly, the discussion shifts to planning opportunities for the energy-water nexus for the sustainable development of water and energy resources. A concluding section summarizes the policy implications of the identified opportunities. C1 [Farid, Amro M.; Hickman, William W.] Thayer Sch Engn, LIINES, Hanover, NH 03755 USA. [Lubega, William N.] Univ Illinois, Civil & Environm Engn, Urbana, IL USA. RP Farid, AM (reprint author), Thayer Sch Engn, LIINES, Hanover, NH 03755 USA. EM amfarid@dartmouth.edu CR Algie C, 2004, EL UT DER RESTR POW, V1, P96 AMERESCO, 2014, 1 MOV WAST UT CONV H Averyt K, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015001 Baur R, 2006, NATO SCI PEACE SECUR, P101, DOI 10.1007/1-4020-4685-5_11 California Department of Water Resources, 2014, WATER USE EFFICIENCY Cardona E, 2004, DESALINATION, V166, P411, DOI 10.1016/j.desal.2004.06.096 City of San Diego, 2014, ENERGY EFFICIENCY PR Cohen R., 2004, ENERGY DOWN DRAIN HI Delgado A., 2012, THESIS DeWeck OL, 2011, ENG SYST, P1 El-Nashar AM, 2008, DESALINATION, V229, P21, DOI 10.1016/j.desal.2007.07.024 El-Nashar AM, 1999, DESALINATION, V122, P15, DOI 10.1016/S0011-9164(99)00024-7 ELNASHAR AM, 1991, DESALINATION, V85, P93, DOI 10.1016/0011-9164(91)85149-O FAO, 2012, AQUASTAT FAOS INF SY Farid A. M., 2014, IEEE T SYSTEMS UNPUB, V1, P1 Farid A. M., 2016, AXIOMATIC DESIGN LAR, P1 Farid AM, 2013, GCC CIGRE POW 2013 A, P1 Farid AM, 2017, IEEE SYST J, V11, P2006, DOI 10.1109/JSYST.2015.2428284 Goldstein R, 2002, WATER SUSTAINABILITY, V3 Goldstein R., 2002, WATER SUSTAINABILITY, V4 Griffiths-Sattenspiel B, 2009, CARBON FOOTPRINT WAT Gupta R, 2016, GLOBAL ENERGY OBSERV Gutman R, 2009, 21 CENTURY TRANSMISS Integrated Pollution Prevention and Control (IPPC), 2001, REF DOC AAPPL BEST A Isaka M., 2012, WATER DESALINATION U Kassakian J. G., 2011, FUTURE ELECT GRID IN Kiameh P., 2012, POWER GENERATION HDB KINGDOM B, 2006, CHALLENGE REDUCING N Konig M, 2015, 1 IEEE INT SMART CIT, P1 Linkevics O, 2005, POWER TECH 2005 IEEE, P1 Looney C.M., 2007, ENERG ENG, V104, P34, DOI DOI 10.1080/01998590709509510 Lubega W, 2013, COMPLEX SYSTEMS DESI, P219 Lubega WN, 2013, 2013 8TH INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE), P76, DOI 10.1109/SYSoSE.2013.6575246 Lubega WN, 2014, IEEE SYST J, P1, DOI 10.1109/JSYST.2014.2302031. Lubega WN, 2014, APPL ENERGY IN PRESS, V1, P1 Lubega WN, 2014, ASME 2014 POW C BALT, P1 Macknick J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/045803 Madden N, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/035006 Meldrum J, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015031 Meyn S, 2013, ANCILLARY SERVICE GR, DOI DOI 10.1109/CDC.2013.6760990 Mezher T, 2011, DESALINATION, V266, P263, DOI 10.1016/j.desal.2010.08.035 Miara A, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/025017 Micale G, 2009, GREEN ENERGY TECHNOL, P1, DOI 10.1007/978-3-642-01150-4_1 Milano F, 2010, POWER SYST, P1, DOI 10.1007/978-3-642-13669-6 ODUSDAT, 2008, SYST ENG GUID SYST S Olsson G, 2012, WATER AND ENERGY: THREATS AND OPPORTUNITIES, P1 Park L, 2012, CALIFORNIAS WATER EN Pate R., 2007, OVERVIEW ENERGY WATE Piperagkas GS, 2011, ELECTR POW SYST RES, V81, P209, DOI 10.1016/j.epsr.2010.08.009 PJM-ISO, 2013, 2013 PJM RES REQ STU Rifaat RM, 1998, IEEE CONF R, P149, DOI 10.1109/EMPD.1998.705492 Rogers J., 2013, WATER SMART POWER ST Rosen MA, 2009, ENERGY SUSTAIN DEV, V13, P43, DOI 10.1016/j.esd.2009.01.005 Rutberg M. J., 2012, THESIS Santas Amy J., 2013, International Journal of Zoology, P1 Santhosh A, 2012, 9 IET INT C ADV POW, P1 Santhosh A, 2014, APPL ENERG, V122, P42, DOI 10.1016/j.apenergy.2014.01.062 Santhosh A, 2014, ENERGY, V66, P363, DOI 10.1016/j.energy.2014.01.031 Santillan-Guzman A, 2013, 2013 IEEE INT WORKSH, P1 Sarraf G, 2010, FUTURE IPPS GCC NEW Sattler S, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/045804 Shakib SE, 2012, DESALINATION, V286, P225, DOI 10.1016/j.desal.2011.11.027 Siddiqi A, 2013, J INFRASTRUCT SYST, V19, P474, DOI 10.1061/(ASCE)IS.1943-555X.0000153 Siddiqi A, 2011, ENERG POLICY, V39, P4529, DOI 10.1016/j.enpol.2011.04.023 Simon J, 2006, WATER SCI TECHNOL, V54, P241, DOI 10.2166/wst.2006.814 Sommariva C., 2010, DESALINATION ADV WAT Stillwell AS, 2011, ECOL SOC, V16 Strbac G, 2008, ENERG POLICY, V36, P4419, DOI 10.1016/j.enpol.2008.09.030 Tao G., 1996, POWER SYSTEMS IEEE T, V11, P1778 Tchobanoglous G., 2004, WASTEWATER ENG TREAT Tidwell V. C., 2009, DECISION SUPPORT INT Tsai WT, 2007, RENEW SUST ENERG REV, V11, P2104, DOI 10.1016/j.rser.2006.03.012 UN Educ. Sci. Cult. Organ, 2012, MAN WAT UNC RISK US Department of Energy, 2005, EN DEM WAT RES US DOE, 2013, US EN SECT VULN CLIM USDOE (US Department of Energy), 2014, WAT EN NEX CHALL OPP WHITE GF, 1988, ENVIRONMENT, V30, P4 Willis H. Lee, 2012, NATURAL GAS ELECTRIC, V28, P15, DOI [10.1002/gas.21593., DOI 10.1002/GAS.21593] World Bank, 2014, EL POW CONS World Economic Forum, 2009, EN VIS UPD 2009 THIR Zhai HB, 2011, ENVIRON SCI TECHNOL, V45, P2479, DOI 10.1021/es1034443 Ziebik A, 2012, ENERGY, V45, P220, DOI 10.1016/j.energy.2012.02.071 NR 82 TC 1 Z9 1 U1 0 U2 2 PU UNIV CALIFORNIA PRESS PI OAKLAND PA 155 GRAND AVE, SUITE 400, OAKLAND, CA 94612-3758 USA SN 2325-1026 J9 ELEMENTA-SCI ANTHROP JI Elementa-Sci. Anthrop. PD OCT 26 PY 2016 VL 4 AR 000134 DI 10.12952/journal.elementa.000134 PG 17 WC Environmental Sciences; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences GA EE9CM UT WOS:000389923300001 OA DOAJ Gold DA 2019-04-09 ER PT J AU Zinke, J Reuning, L Pfeiffer, M Wassenburg, JA Hardman, E Jhangeer-Khan, R Davies, GR Ng, CKC Kroon, D AF Zinke, Jens Reuning, Lars Pfeiffer, Miriam Wassenburg, Jasper A. Hardman, Emily Jhangeer-Khan, Reshad Davies, Gareth R. Ng, Curtise K. C. Kroon, Dick TI A sea surface temperature reconstruction for the southern Indian Ocean trade wind belt from corals in Rodrigues Island (19 degrees S, 63 degrees E) SO BIOGEOSCIENCES LA English DT Article ID MARINE AIR-TEMPERATURE; SST DIPOLE EVENTS; CLIMATE VARIABILITY; MASCARENE PLATEAU; PORITES CORALS; SR/CA RECORDS; IN-SITU; PACIFIC; ENSO; MONSOON AB The western Indian Ocean has been warming rapidly over recent decades, causing a greater number of extreme climatic events. It is therefore of paramount importance to improve our understanding of links between Indian Ocean sea surface temperature (SST) variability, climate change and sustainability of tropical coral reef ecosystems. Here we present monthly resolved coral Sr / Ca records from two different locations from Rodrigues Island (63 degrees E, 19 degrees S) in the south-central Indian Ocean trade wind belt. We reconstruct SST based on a linear relationship with the Sr / Ca proxy with records starting from 1781 and 1945, respectively. We assess relationships between the observed long-term SST and climate fluctuations related to the El Nio-Southern Oscillation (ENSO), the Subtropical Indian Ocean Dipole Mode (SIOD) and the Pacific Decadal Oscillation (PDO) between 1945 and 2006, respectively. The reproducibility of the Sr / Ca records is assessed as are the potential impacts of diagenesis and corallite orientation on Sr / Ca-SST reconstructions. We calibrate individual robust Sr / Ca records with in situ SST and various gridded SST products. The results show that the SST record from Cabri provides the first Indian Ocean coral proxy time series that records the SST signature of the PDO in the south-central Indian Ocean since 1945. We suggest that additional records from Rodrigues Island can provide excellent records of SST variations in the southern Indian Ocean trade wind belt to unravel teleconnections with the SIOD/ENSO/PDO on longer timescales. C1 [Zinke, Jens] Curtin Univ Technol, Dept Environm & Agr, Kent St, Bentley, WA 6102, Australia. [Zinke, Jens] Free Univ Berlin, Div Paleontol, Malteserstr 74-100, D-12249 Berlin, Germany. [Zinke, Jens] Australian Inst Marine Sci, Nedlands, WA 6009, Australia. [Zinke, Jens] Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, Johannesburg, South Africa. [Reuning, Lars; Pfeiffer, Miriam] Rhein Westfal TH Aachen, Inst Geol, Wuellnerstr 2, D-52056 Aachen, Germany. [Wassenburg, Jasper A.] Johannes Gutenberg Univ Mainz, Inst Geosci, Johann Joachim Becher Weg 21, D-55128 Mainz, Germany. [Hardman, Emily; Jhangeer-Khan, Reshad] SHOALS Rodrigues, Rodrigues, Mauritius. [Davies, Gareth R.] Vrije Univ Amsterdam, Geol & Geochem, De Boelelaan 1085, NL-1081 HV Amsterdam, Netherlands. [Ng, Curtise K. C.] Curtin Univ Technol, Dept Med Radiat Sci, Kent St, Bentley, WA 6102, Australia. [Kroon, Dick] Univ Edinburgh, Sch GeoSci, Kings Buildings,West Mains Rd, Edinburgh EH9 3JW, Midlothian, Scotland. RP Zinke, J (reprint author), Curtin Univ Technol, Dept Environm & Agr, Kent St, Bentley, WA 6102, Australia.; Zinke, J (reprint author), Free Univ Berlin, Div Paleontol, Malteserstr 74-100, D-12249 Berlin, Germany.; Zinke, J (reprint author), Australian Inst Marine Sci, Nedlands, WA 6009, Australia.; Zinke, J (reprint author), Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, Johannesburg, South Africa. EM jens.zinke@gmail.com RI Pfeiffer, Miriam/A-6914-2013; Zinke, Jens/G-5026-2011; Reuning, Lars/F-5594-2014 OI Pfeiffer, Miriam/0000-0002-1172-1757; Zinke, Jens/0000-0002-0634-8281; Reuning, Lars/0000-0002-3796-2874; Davies, Gareth Rees/0000-0002-6136-9202 FU SINDOCOM grant under Dutch NWO program "Climate Variability" [854.00034/035]; NWO ALW project CLIMATCH [820.01.009]; Western Indian Ocean Marine Science Association through Marine Science for Management program [MASMA/CC/2010/02]; Rodrigues Assembly; Mauritius Ministry for Fisheries; Senior Curtin Fellowship in Western Australia; Honorary Fellowship; University of the Witwatersrand, South Africa FX The coral paleoclimate work was supported as part of the SINDOCOM grant under the Dutch NWO program "Climate Variability", grant 854.00034/035. Additional support comes from the NWO ALW project CLIMATCH, grant 820.01.009, and the Western Indian Ocean Marine Science Association through the Marine Science for Management program under grant MASMA/CC/2010/02. We thank the team of SHOALS Rodrigues for their excellent support in fieldwork logistics and in the organization of the research and CITES permits. We would also like to thank the Rodrigues Assembly and the Mauritius Ministry for Fisheries for granting the research and CITES permits. A Senior Curtin Fellowship in Western Australia, and an Honorary Fellowship with the University of the Witwatersrand, South Africa, supported J. Zinke. Bouke Lacet and Wynanda Koot (VUA) helped cut the core slabs and prepared the thin sections. Janice Lough and Eric Matson (AIMS) provided skilled technical support for coral core densitometry measurements and data processing. We thank Dieter Garbe-Schonberg for assistance with the ICP-OES measurements. CR Alibert C, 1997, PALEOCEANOGRAPHY, V12, P345, DOI 10.1029/97PA00318 Alory G, 2009, J CLIMATE, V22, P93, DOI 10.1175/2008JCLI2330.1 Alpert AE, 2016, PALEOCEANOGRAPHY, V31, P252, DOI 10.1002/2015PA002897 Annamalai H, 2005, J CLIMATE, V18, P4150, DOI 10.1175/JCLI3533.1 Behera SK, 2001, GEOPHYS RES LETT, V28, P327, DOI 10.1029/2000GL011451 Carricart-Ganivet JP, 2007, J EXP MAR BIOL ECOL, V344, P67, DOI 10.1016/j.jembe.2006.12.018 Charles CD, 1997, SCIENCE, V277, P925, DOI 10.1126/science.277.5328.925 Cobb KM, 2001, GEOPHYS RES LETT, V28, P2209, DOI 10.1029/2001GL012919 Cole JE, 2000, SCIENCE, V287, P617, DOI 10.1126/science.287.5453.617 Correge T, 2006, PALAEOGEOGR PALAEOCL, V232, P408, DOI 10.1016/j.palaeo.2005.10.014 Cruger T., 2009, INT J EARTH SCI, V98, DOI [10.1007/s00531-008-0324-1, DOI 10.1007/S00531-008-0324-1] DeLong KL, 2013, PALAEOGEOGR PALAEOCL, V373, P6, DOI 10.1016/j.palaeo.2012.08.019 Deser C, 2004, J CLIMATE, V17, P3109, DOI 10.1175/1520-0442(2004)017<3109:PICVLB>2.0.CO;2 DEVILLIERS S, 1994, GEOCHIM COSMOCHIM AC, V58, P197, DOI 10.1016/0016-7037(94)90457-X Felis T, 2003, MARINE SCIENCE FRONTIERS FOR EUROPE, P11 Funk C, 2008, P NATL ACAD SCI USA, V105, P11081, DOI 10.1073/pnas.0708196105 Gagan MK, 2012, PALEOCEANOGRAPHY, V27, DOI 10.1029/2011PA002215 Grove CA, 2013, CLIM PAST, V9, P641, DOI 10.5194/cp-9-641-2013 Grove CA, 2013, GEOCHEM GEOPHY GEOSY, V14, P1277, DOI 10.1002/ggge.20095 Hardman E. R., 2008, ATOLL RES B, V555, P1, DOI [10.5479/si.00775630.555.1, DOI 10.5479/SI.00775630.555.1] Hardman ER, 2004, J NAT HIST, V38, P3077, DOI 10.1080/00222930410001695051 Helmle KP, 2011, NAT COMMUN, V2, DOI 10.1038/ncomms1222 Hendy EJ, 2007, PALEOCEANOGRAPHY, V22, DOI 10.1029/2007PA001462 Hoell A, 2017, CLIM DYNAM, V48, P2529, DOI 10.1007/s00382-016-3220-6 Huang B., ERSST4 Huang BY, 2015, J CLIMATE, V28, P911, DOI 10.1175/JCLI-D-14-00006.1 Jones P, 2016, ADV ATMOS SCI, V33, P269, DOI 10.1007/s00376-015-5194-4 Kaplan A, 1998, J GEOPHYS RES-OCEANS, V103, P18567, DOI 10.1029/97JC01736 Kennedy JJ, 2011, J GEOPHYS RES-ATMOS, V116, DOI 10.1029/2010JD015218 Kennedy J. J., HADSST3 Kent E. C., HADNMAT2 Kent EC, 2013, J GEOPHYS RES-ATMOS, V118, P1281, DOI 10.1002/jgrd.50152 Krishnan R, 2003, CLIM DYNAM, V21, P233, DOI 10.1007/s00382-003-0330-8 Lee SK, 2015, NAT GEOSCI, V8, P445, DOI 10.1038/NGEO2438 Lynch T. L., 2002, ANN REPORT BENTHOS R Mantua NJ, 1997, B AM METEOROL SOC, V78, P1069, DOI 10.1175/1520-0477(1997)078<1069:APICOW>2.0.CO;2 MART Y, 1988, MAR GEOL, V79, P261, DOI 10.1016/0025-3227(88)90042-4 McGregor HV, 2008, GEOCHEM GEOPHY GEOSY, V9, DOI 10.1029/2008GC002093 McGregor HV, 2003, GEOCHIM COSMOCHIM AC, V67, P2147, DOI 10.1016/S0016-7037(02)01050-5 McPhaden MJ, 2006, SCIENCE, V314, P1740, DOI 10.1126/science.1132588 Meehl GA, 2006, J CLIMATE, V19, P1605, DOI 10.1175/JCLI3675.1 Nakamura N, 2009, GEOPHYS RES LETT, V36, DOI 10.1029/2009GL040590 New AL, 2007, DEEP-SEA RES PT I, V54, P42, DOI 10.1016/j.dsr.2006.08.016 New AL, 2005, PHILOS T ROY SOC A, V363, P151, DOI 10.1098/rsta.2004.1484 NOAA, WMO WEATH STAT 61988 Nurhati IS, 2011, J CLIMATE, V24, P3294, DOI 10.1175/2011JCLI3852.1 Paillaird D., 1996, EOS T AM GEOGRAPH UN, V77, P379, DOI DOI 10.1029/96E000259 Pfeiffer M, 2004, PALEOCEANOGRAPHY, V19, DOI 10.1029/2003PA000964 Pfeiffer M, 2006, QUATERNARY SCI REV, V25, P993, DOI 10.1016/j.quascirev.2005.11.005 Pfeiffer M, 2009, INT J EARTH SCI, V98, P53, DOI 10.1007/s00531-008-0326-z Rayner N. A., HADISST Rayner N. A., HADMAT1 Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670 Reason CJC, 2001, GEOPHYS RES LETT, V28, P2225, DOI 10.1029/2000GL012735 Reynolds R. W., AVHRSST Reynolds R. W., OI SST Reynolds RW, 2007, J CLIMATE, V20, P5473, DOI 10.1175/2007JCLI1824.1 Reynolds RW, 2002, J CLIMATE, V15, P1609, DOI 10.1175/1520-0442(2002)015<1609:AIISAS>2.0.CO;2 Roxy MK, 2014, J CLIMATE, V27, P8501, DOI 10.1175/JCLI-D-14-00471.1 Sayani HR, 2011, GEOCHIM COSMOCHIM AC, V75, P6361, DOI 10.1016/j.gca.2011.08.026 Schott FA, 2001, PROG OCEANOGR, V51, P1, DOI 10.1016/S0079-6611(01)00083-0 Schrag DP, 1999, PALEOCEANOGRAPHY, V14, P97, DOI 10.1029/1998PA900025 Sheppard CRC, 2003, NATURE, V425, P294, DOI 10.1038/nature01987 Smith TM, 2008, J CLIMATE, V21, P2283, DOI 10.1175/2007JCLI2100.1 Smodej J, 2015, GEOCHEM GEOPHY GEOSY, V16, P3778, DOI 10.1002/2015GC006009 Tokinaga H, 2012, NATURE, V491, P439, DOI 10.1038/nature11576 Trouet V, 2013, TREE-RING RES, V69, P3, DOI 10.3959/1536-1098-69.1.3 Turner J, 2005, PHILOS T ROY SOC A, V363, P229, DOI 10.1098/rsta.2004.1489 van Oldenborgh GJ, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL023110 Woodruff SD, 2011, INT J CLIMATOL, V31, P951, DOI 10.1002/joc.2103 Xie SP, 2016, ADV ATMOS SCI, V33, P411, DOI 10.1007/s00376-015-5192-6 Zinke J, 2004, EARTH PLANET SC LETT, V228, P177, DOI 10.1016/j.epsl.2004.09.028 Zinke J, 2014, CLIM DYNAM, V43, P689, DOI 10.1007/s00382-014-2082-z Zinke J, 2008, GEOPHYS RES LETT, V35, DOI 10.1029/2008GL035634 Zinke J, 2009, INT J EARTH SCI, V98, P115, DOI 10.1007/s00531-008-0365-5 NR 75 TC 4 Z9 4 U1 1 U2 20 PU COPERNICUS GESELLSCHAFT MBH PI GOTTINGEN PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY SN 1726-4170 EI 1726-4189 J9 BIOGEOSCIENCES JI Biogeosciences PD OCT 25 PY 2016 VL 13 IS 20 BP 5827 EP 5847 DI 10.5194/bg-13-5827-2016 PG 21 WC Ecology; Geosciences, Multidisciplinary SC Environmental Sciences & Ecology; Geology GA DZ6ZP UT WOS:000386012700001 OA DOAJ Gold DA 2019-04-09 ER PT J AU Niu, KC He, JS Zhang, ST Lechowicz, MJ AF Niu, Kechang He, Jin-sheng Zhang, Shiting Lechowicz, Martin J. TI Tradeoffs between forage quality and soil fertility: Lessons from Himalayan rangelands SO AGRICULTURE ECOSYSTEMS & ENVIRONMENT LA English DT Article; Proceedings Paper CT Session on Alternative Grazing Practices as a Restoration Tool - Challenges, Opportunities and Limits held at the 9th European Conference on Ecological Restoration CY AUG 03-08, 2014 CL Oulu, FINLAND DE Alpine meadow; Community weighted mean; Functional diversity; Leaf traits; Soil fertility ID GRASSLAND PLANT DIVERSITY; QINGHAI-TIBETAN PLATEAU; ALPINE MEADOW; FUNCTIONAL DIVERSITY; INNER-MONGOLIA; LEAF TRAITS; ECOSYSTEM SERVICES; PHOSPHORUS; NITROGEN; CHINA AB Pastoralists on Eurasian rangeland often believe that traditional management practices involving moderate rotational grazing ensure sustainable yield, increase plant digestibility and promote biodiversity. To assess the generality of these suppositions we compared biomass production, community leaf C, N and P stoichiometry, leaf trait diversity and carbon and nutrient pools in root and soil for moderately grazed vs. ungrazed plots in Tibetan alpine meadows. We used five leaf traits (leaf C, leaf N and leaf P concentrations; SLA: specific leaf area, and LDMC: leaf dry matter content) as indicators of plant digestibility and rangeland quality. We measured these foliar traits and the ramet numbers for component species in moderately grazed plots as well as in exclosures (3-11 years) at five sites across the Qinghai-Tibetan plateau. Community weighted mean (CWM) trait values and functional dispersion (FDis) were used to quantify the mean and the variance in the distribution of trait values, respectively. Both the leaf P-CWM and leaf P-FDis generally increased under grazing and the LDMCCWM decreased, leading to improved plant digestibility and rangeland quality (e.g. high, community-wide leaf nutrients). The leaf C-CWM, leaf N-CWM and SLA(CWM) increased under grazing but the FDis of these traits tended to decrease. Grazing generally increased species diversity but decreased aboveground biomass, organic carbon, and nutrient concentrations in soil and root, especially decreasing root nitrogen and soil available phosphorus. Both root biomass and the leaf C:N (CWM) decreased in grazed plots at wet sites, but increased at dry sites. The community-wide increase and greater interspecific diversity in leaf nutrient concentrations coupled with decreasing LDMCCWM show that grazing induced an increase in plant digestibility, nutrient concentrations, and nutrient diversity in these alpine meadows. However, this increase in forage quality comes at the cost of losses in both carbon stock and nutrient availability that depress biomass production. Our findings and a review of related literature suggest that traditional grazing practices involve a trade-off between short-term yield and sustainability, a management challenge that must be addressed on rangelands with low soil fertility. (C) 2016 Elsevier B.V. All rights reserved. C1 [Niu, Kechang] Nanjing Univ, Dept Biol, Nanjing 210093, Jiangsu, Peoples R China. [Niu, Kechang; He, Jin-sheng] Peking Univ, Dept Ecol, Beijing 100871, Peoples R China. [Zhang, Shiting] Lanzhou Univ, Dept Ecol, Lanzhou 730000, Peoples R China. [Lechowicz, Martin J.] McGill Univ, Dept Biol, Montreal, PQ H3A 1B1, Canada. RP Niu, KC (reprint author), Nanjing Univ, Dept Biol, Nanjing 210093, Jiangsu, Peoples R China. EM kechangniu@nju.edu.cn RI He, Jin-Sheng/A-4053-2009 OI He, Jin-Sheng/0000-0001-5081-3569; Niu, Kechang/0000-0003-4845-2930 CR Addison J, 2012, RANGELAND J, V34, P125, DOI 10.1071/RJ11013 Bagchi S, 2011, OIKOS, V120, P119, DOI 10.1111/j.1600-0706.2010.18932.x Bagchi S, 2010, OECOLOGIA, V164, P1075, DOI 10.1007/s00442-010-1690-5 Bagchi S, 2010, ECOL LETT, V13, P959, DOI 10.1111/j.1461-0248.2010.01486.x Bates D., 2011, LME4 LINEAR MIXED EF Bi LD, 2009, AGR ECOSYST ENVIRON, V129, P534, DOI 10.1016/j.agee.2008.11.007 Borer ET, 2014, NATURE, V508, P517, DOI 10.1038/nature13144 Briske DD, 2011, RANGELAND ECOL MANAG, V64, P325, DOI 10.2111/REM-D-10-00084.1 Bruinenberg MH, 2002, GRASS FORAGE SCI, V57, P292, DOI 10.1046/j.1365-2494.2002.00327.x Cao JJ, 2013, J ARID ENVIRON, V97, P3, DOI 10.1016/j.jaridenv.2013.05.002 Cerny A., 2010, PASTORALISM, V1, P218, DOI DOI 10.3362/2041-7136.2010.013 Charney N., 2009, JOST DIVERSITY MEASU CHOONG MF, 1992, NEW PHYTOL, V121, P597, DOI 10.1111/j.1469-8137.1992.tb01131.x CINCOTTA RP, 1991, ARCTIC ALPINE RES, V23, P149, DOI 10.2307/1551379 Cornelissen JHC, 2003, AUST J BOT, V51, P335, DOI 10.1071/BT02124 Danger M, 2013, FUNCT ECOL, V27, P807, DOI 10.1111/1365-2435.12079 Diacono M, 2010, AGRON SUSTAIN DEV, V30, P401, DOI 10.1051/agro/2009040 Diaz S, 2007, P NATL ACAD SCI USA, V104, P20684, DOI 10.1073/pnas.0704716104 Diaz S, 2007, GLOBAL CHANGE BIOL, V13, P313, DOI 10.1111/j.1365-2486.2006.01288.x Du MY, 2004, GLOBAL PLANET CHANGE, V41, P241, DOI 10.1016/j.gloplacha.2004.01.010 Duru M, 2008, AGRON J, V100, P1622, DOI 10.2134/agronj2008.0003 Eldridge D.J., 2015, ECOL APPL Fan MM, 2015, LAND USE POLICY, V42, P124, DOI 10.1016/j.landusepol.2014.07.011 Fernandez-Gimenez ME, 2012, HUM ECOL, V40, P287, DOI 10.1007/s10745-012-9463-x Friendly M., 2013, VISUALIZING GENERALI Galvin KA, 2009, ANNU REV ANTHROPOL, V38, P185, DOI 10.1146/annurev-anthro-091908-164442 Gardarin A, 2014, J APPL ECOL, V51, P1207, DOI 10.1111/1365-2664.12293 Garnier E, 2004, ECOLOGY, V85, P2630, DOI 10.1890/03-0799 Garnier E, 2012, AGRON SUSTAIN DEV, V32, P365, DOI 10.1007/s13593-011-0036-y Geng Yan, 2011, Chinese Journal of Plant Ecology, V35, P1, DOI 10.3724/SP.J.1258.2011.00001 Glindermann T, 2009, LIVEST SCI, V124, P142, DOI 10.1016/j.livsci.2009.01.007 Grant C. C., 2000, African Journal of Range and Forage Science, V17, P81, DOI 10.2989/10220110009485743 Harris RB, 2010, J ARID ENVIRON, V74, P1, DOI 10.1016/j.jaridenv.2009.06.014 He JS, 2008, OECOLOGIA, V155, P301, DOI 10.1007/s00442-007-0912-y He JS, 2010, J PLANT RES, V123, P551, DOI 10.1007/s10265-009-0294-9 Hejcman M, 2013, GRASS FORAGE SCI, V68, P345, DOI 10.1111/gfs.12066 Hernandez-Morcillo M, 2014, ENVIRONMENT, V56, P3, DOI 10.1080/00139157.2014.861673 HilleRisLambers J, 2012, ANNU REV ECOL EVOL S, V43, P227, DOI 10.1146/annurev-ecolsys-110411-160411 Ho P, 2010, ENVIRON RES, V110, P302, DOI 10.1016/j.envres.2009.12.007 Hong JT, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109052 Huber SA, 1995, J ANIM SCI, V73, P3752 Humbert J.Y., 2015, GLOB CHANGE BIOL Jost L, 2006, OIKOS, V113, P363, DOI 10.1111/j.2006.0030-1299.14714.x Kang L, 2007, PHILOS T R SOC B, V362, P997, DOI 10.1098/rstb.2007.2029 Khaled RA, 2006, RANGELAND ECOL MANAG, V59, P648, DOI 10.2111/05-031R2.1 KHAN AA, 2009, J AGRIC BIOL SCI, V1, P48 Laliberte E, 2010, R PACKAGE VERSION 1 Laliberte E, 2010, ECOLOGY, V91, P299, DOI 10.1890/08-2244.1 Lambers H, 2008, TRENDS ECOL EVOL, V23, P95, DOI 10.1016/j.tree.2007.10.008 Lavorel S, 2011, J ECOL, V99, P135, DOI 10.1111/j.1365-2745.2010.01753.x Li WJ, 2007, J ENVIRON MANAGE, V85, P461, DOI 10.1016/j.jenvman.2006.10.010 Li WJ, 2011, ECOL SOC, V16 Liao C, 2014, APPL GEOGR, V46, P61, DOI 10.1016/j.apgeog.2013.10.010 Liu YJ, 2012, NEW PHYTOL, V194, P523, DOI 10.1111/j.1469-8137.2012.04050.x Mi ZR, 2015, BIOL LETTERS, V11, DOI 10.1098/rsbl.2014.0981 Miehe G, 2014, QUATERNARY SCI REV, V86, P190, DOI 10.1016/j.quascirev.2013.12.004 Miehe G, 2009, PALAEOGEOGR PALAEOCL, V276, P130, DOI 10.1016/j.palaeo.2009.03.005 Molnar Z, 2014, RANGELAND ECOL MANAG, V67, P107, DOI 10.2111/REM-D-13-00082.1 Mouchet MA, 2010, FUNCT ECOL, V24, P867, DOI 10.1111/j.1365-2435.2010.01695.x Nan Zhibiao, 2005, Grassland Science, V51, P15, DOI 10.1111/j.1744-697X.2005.00003.x Nelson D. W., 1982, AGRONOMY, V2, P539, DOI DOI 10.2134/AGRONMONOGR9.2.2ED.C29 Niu K.C., 2015, BIODIVERS CONSERV Niu KC, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00547.1 Niu KC, 2014, AGR ECOSYST ENVIRON, V182, P106, DOI 10.1016/j.agee.2013.07.015 Niu KC, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035448 Niu KC, 2010, PLANT SOIL, V330, P215, DOI 10.1007/s11104-009-0194-8 Olff H, 1998, TRENDS ECOL EVOL, V13, P261, DOI 10.1016/S0169-5347(98)01364-0 Owensby Clenton E., 1996, P363, DOI 10.1016/B978-012420870-4/50056-6 Pakeman RJ, 2011, OECOLOGIA, V167, P209, DOI 10.1007/s00442-011-1980-6 Parsons AJ, 2003, ANIM RES, V52, P161, DOI 10.1051/animres:2003013 Peng SS, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/044027 Pontes LDS, 2007, FUNCT ECOL, V21, P844, DOI 10.1111/j.1365-2435.2007.01316.x Provenza FD, 2003, SMALL RUMINANT RES, V49, P257, DOI 10.1016/S0921-4488(03)00143-3 Reid RS, 2014, ANNU REV ENV RESOUR, V39, P217, DOI 10.1146/annurev-environ-020713-163329 Reynolds C K, 2008, J Anim Sci, V86, pE293 Ricotta C, 2011, OECOLOGIA, V167, P181, DOI 10.1007/s00442-011-1965-5 Roche JR, 2009, ANIM PROD SCI, V49, P200, DOI 10.1071/EA07308 Semmartin M, 2008, PLANT SOIL, V303, P177, DOI 10.1007/s11104-007-9497-9 Shen MG, 2015, P NATL ACAD SCI USA, V112, P9299, DOI 10.1073/pnas.1504418112 Smith RS, 2008, J APPL ECOL, V45, P670, DOI 10.1111/j.1365-2664.2007.01425.x SOMMERS LE, 1972, SOIL SCI SOC AM J, V36, P902, DOI 10.2136/sssaj1972.03615995003600060020x Sterner R. W., 2002, ECOLOGICAL STOICHIOM Stevens CJ, 2015, ECOLOGY, V96, P1459, DOI 10.1890/14-1902.1 Stiefs D, 2010, AM NAT, V176, P367, DOI 10.1086/655429 Teague R, 2013, J ENVIRON MANAGE, V128, P699, DOI 10.1016/j.jenvman.2013.05.064 Torok P, 2016, AGR ECOSYST ENVIRON, V234, P23, DOI 10.1016/j.agee.2016.01.010 Van Soest P. J., 1994, NUTR ECOLOGY RUMINAN WALKER TW, 1976, GEODERMA, V15, P1, DOI 10.1016/0016-7061(76)90066-5 Wang SP, 2012, ECOLOGY, V93, P2365, DOI 10.1890/11-1408.1 Wassen MJ, 2005, NATURE, V437, P547, DOI 10.1038/nature03950 Whitehead D. C, 2000, NUTR ELEMENTS GRASSL Wise MJ, 2007, AM NAT, V169, P443, DOI 10.1086/512044 Wood SA, 2015, TRENDS ECOL EVOL, V30, P531, DOI 10.1016/j.tree.2015.06.013 Yan Z., 2005, NOMADIC PEOPLES, P31 Yang Xiao-Xia, 2014, Chinese Journal of Plant Ecology, V38, P159, DOI 10.3724/SP.J.1258.2014.00014 Yang YH, 2014, GLOBAL ECOL BIOGEOGR, V23, P947, DOI 10.1111/geb.12175 Yang ZL, 2012, ECOLOGY, V93, P2321, DOI 10.1890/11-2212.1 Zhang ZL, 2014, J PLANT ECOL, V7, P231, DOI 10.1093/jpe/rtt030 Zhao C, 2013, J ANIM ECOL, V82, P749, DOI 10.1111/1365-2656.12058 Zhou X., 2015, J PLANT ECOL Ziter C, 2013, ECOLOGY, V94, P106, DOI 10.1890/11-2070.1 NR 101 TC 5 Z9 8 U1 8 U2 51 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0167-8809 EI 1873-2305 J9 AGR ECOSYST ENVIRON JI Agric. Ecosyst. Environ. PD OCT 16 PY 2016 VL 234 SI SI BP 31 EP 39 DI 10.1016/j.agee.2016.04.023 PG 9 WC Agriculture, Multidisciplinary; Ecology; Environmental Sciences SC Agriculture; Environmental Sciences & Ecology GA ED8IQ UT WOS:000389115600005 DA 2019-04-09 ER PT J AU Ullah, A Perret, SR Gheewala, SH Soni, P AF Ullah, Asmat Perret, Sylvain R. Gheewala, Shabbir H. Soni, Peeyush TI Eco-efficiency of cotton-cropping systems in Pakistan: an integrated approach of life cycle assessment and data envelopment analysis SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Cotton; Life cycle assessment; Data envelopment analysis; Eco-efficiency; Trade-off analysis ID NITROUS-OXIDE; NITRIC-OXIDE; DRY-MATTER; EMISSIONS; PUNJAB; FIELD; SUSTAINABILITY; UNITS; LCA AB This study investigates the balance between economic and environmental performances of cotton cropping systems in Southern Punjab, Pakistan. Eco-efficiency analysis was performed using Data Envelopment Analysis to integrate economic and environmental performances, which were assessed through life cycle assessment. All 169 cotton cropping systems were individually analyzed. Special attention was paid to farm size as a possible factor of performances variation. The results show that pesticides and fertilizer use, field emissions, field operations and irrigation are the main sources of environmental impacts. It reveals that production of 1 kg of seed cotton delivered at farm gate generates a global warming potential of 3-3.4 kg CO2e and requires 5-6 L of water. Eco-efficiency estimates of small, medium and large sized farms computed on per hectare basis are 0.86, 0.74 and 0.78, respectively, and 0.51, 0.52 and 0.50 respectively when computed on the basis of kilogram of seed cotton. No significant differences of eco-efficiencies per functional unit were observed across farm size categories. Small farms' higher profits counterbalance their significantly higher levels of eutrophication, and balance its overall eco-efficiency with other farm categories. A trade-off analysis tried to identify the farms that would epitomize sustainable cotton production; it shows that it is almost impossible to combine high economic return with low environmental impacts under current context. However some recommendations have been formulated with regards to pesticides and fertilizers use, which may be significantly reduced with no effect on yield, and potentially reduce environmental impacts. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Ullah, Asmat; Perret, Sylvain R.; Soni, Peeyush] Asian Inst Technol, Sch Environm Resources & Dev, Bangkok 12120, Pathumthani, Thailand. [Perret, Sylvain R.] Ctr Cooperat Int Rech Agronom Dev, UMR G Eau, F-34398 Montpellier, France. [Gheewala, Shabbir H.] King Mongkuts Univ Technol Thonburi, Joint Grad Sch Energy & Environm, 126 Pracha Uthit Rd, Bangkok 10140, Thailand. [Gheewala, Shabbir H.] Ctr Excellence Energy Technol & Environm, PERDO, Bangkok, Thailand. RP Ullah, A (reprint author), Asian Inst Technol, Sch Environm Resources & Dev, Bangkok 12120, Pathumthani, Thailand. EM asmat.ait@gmail.com OI Gheewala, Shabbir/0000-0002-4300-1551 FU Higher Education Commission of Pakistan (HEC); Asian Institute of Technology (AIT); Centre de Cooperation Internationale en Recherche Agronomique pour le Developpement (CIRAD) FX The authors wish to express their gratitude to the Higher Education Commission of Pakistan (HEC), the Asian Institute of Technology (AIT), and the Centre de Cooperation Internationale en Recherche Agronomique pour le Developpement (CIRAD) for their financial and logistical support. CR Abeliotis K, 2013, J CLEAN PROD, V41, P89, DOI 10.1016/j.jclepro.2012.09.032 Ali A, 2010, J AGR ECON, V61, P175, DOI 10.1111/j.1477-9552.2009.00227.x Aujla MS, 2005, AGR WATER MANAGE, V71, P167, DOI 10.1016/j.agwat.2004.06.010 Avadi A, 2014, J CLEAN PROD, V70, P118, DOI 10.1016/j.jclepro.2014.01.047 Azizullah A, 2011, ENVIRON INT, V37, P479, DOI 10.1016/j.envint.2010.10.007 Baumann H., 2004, HITCH HIKERS GUIDE L Boquet DJ, 2000, CROP SCI, V40, P1685, DOI 10.2135/cropsci2000.4061685x Brentrup F, 2000, INT J LIFE CYCLE ASS, V5, P349, DOI 10.1065/lca2000.08.030 Cellura M, 2012, J CLEAN PROD, V28, P56, DOI 10.1016/j.jclepro.2011.10.021 CHARNES A, 1978, EUR J OPER RES, V2, P429, DOI 10.1016/0377-2217(78)90138-8 Choudhury ATMA, 2005, COMMUN SOIL SCI PLAN, V36, P1625, DOI 10.1081/CSS-200059104 Cooper W. M., 2007, DATA ENVELOPMENT ANA De Koeijer TJ, 2002, J ENVIRON MANAGE, V66, P9, DOI 10.1006/jema.2002.0578 EEA E., 2009, EEA AIR POLL EM INV FAO, 1992, CROPWAT COMP PROGR I Farooqi A, 2007, ENVIRON POLLUT, V145, P839, DOI 10.1016/j.envpol.2006.05.007 Gang C., 2013, MAXDEA PRO 6 DATA EN Gomez-Limon JA, 2012, LAND USE POLICY, V29, P395, DOI 10.1016/j.landusepol.2011.08.004 Guinee JB, 2001, HDB LIFE CYCLE ASSES IPCC, 2006, GUIDELINES NATL GREE, V4 Iribarren D, 2011, SCI TOTAL ENVIRON, V409, P1786, DOI 10.1016/j.scitotenv.2011.02.013 Iribarren D, 2010, SCI TOTAL ENVIRON, V408, P5265, DOI 10.1016/j.scitotenv.2010.07.078 ISO, 2006, 14040 ISO ISO, 2006, 14044 ISO Karim A, 2000, CHEM GEOL, V170, P153, DOI 10.1016/S0009-2541(99)00246-6 Khan NU, 2010, PAK J BOT, V42, P615 Khoshnevisan B, 2014, J CLEAN PROD, V73, P183, DOI 10.1016/j.jclepro.2013.09.057 Korhonen PJ, 2004, EUR J OPER RES, V154, P437, DOI 10.1016/S0377-2217(03)00180-2 Kuosmanen T, 2005, J IND ECOL, V9, P59, DOI 10.1162/108819805775247846 Liu CY, 2010, PLANT SOIL, V332, P123, DOI 10.1007/s11104-009-0278-5 Lozano S, 2009, SCI TOTAL ENVIRON, V407, P1744, DOI 10.1016/j.scitotenv.2008.10.062 Lozano S, 2010, RESOUR CONSERV RECY, V54, P1269, DOI 10.1016/j.resconrec.2010.04.004 Mahmood T, 2008, BIOL FERT SOILS, V44, P773, DOI 10.1007/s00374-008-0276-4 Mohammadi A, 2013, J CLEAN PROD, V54, P89, DOI 10.1016/j.jclepro.2013.05.019 Murphy C.F., 2010, XA833795010 EPA OECD, 1998, ECOEFFICIENCY Pakistan Economic Survey, 2013, GOV PAK Pettigrew WT, 1997, J PLANT NUTR, V20, P531, DOI 10.1080/01904169709365272 Picazo-Tadeo AJ, 2012, EUR J OPER RES, V220, P798, DOI 10.1016/j.ejor.2012.02.025 Picazo-Tadeo AJ, 2011, J ENVIRON MANAGE, V92, P1154, DOI 10.1016/j.jenvman.2010.11.025 Reig-Martinez E, 2004, AGR SYST, V82, P17, DOI 10.1016/j.agsy.2003.12.002 Romero-Gamez M, 2012, J CLEAN PROD, V28, P63, DOI 10.1016/j.jclepro.2011.07.006 Schaffel SB, 2010, J CLEAN PROD, V18, P1663, DOI 10.1016/j.jclepro.2010.06.031 Shafiq M, 2000, AGR ECON, V22, P321, DOI 10.1016/S0169-5150(00)00045-1 Steinberger JK, 2009, INT J LIFE CYCLE ASS, V14, P443, DOI 10.1007/s11367-009-0078-4 Tahir MA, 2008, AFRICAN J SCI TECHNO, V11, P397 Tariq MI, 2007, ENVIRON INT, V33, P1107, DOI 10.1016/j.envint.2007.07.012 Thanawong K, 2014, J CLEAN PROD, V73, P204, DOI 10.1016/j.jclepro.2013.12.067 Torgersen AM, 1996, J PROD ANAL, V7, P379, DOI 10.1007/BF00162048 Ullah A, 2014, ENVIRON MANAGE, V54, P288, DOI 10.1007/s00267-014-0300-4 Van Passel S, 2007, ECOL ECON, V62, P149, DOI 10.1016/j.ecolecon.2006.06.008 Vazquez-Rowe I., 2014, SCI WORLD J, V2015 Vazquez-Rowe I, 2012, J CLEAN PROD, V27, P92, DOI 10.1016/j.jclepro.2011.12.039 Vazquez-Rowe I, 2011, J IND ECOL, V15, P776, DOI 10.1111/j.1530-9290.2011.00360.x Vazquez-Rowe I, 2010, INT J LIFE CYCLE ASS, V15, P272, DOI 10.1007/s11367-010-0154-9 Weidema BP, 1996, J CLEAN PROD, V4, P167, DOI DOI 10.1016/S0959-6526(96)00043-1 World Business Council for Sustainable Development, 2000, EC CREAT MOR VAL LES Yan XY, 2003, GLOBAL CHANGE BIOL, V9, P1080, DOI 10.1046/j.1365-2486.2003.00649.x Zhang B., 2008, ECOL ECON, V50, P286 NR 59 TC 18 Z9 18 U1 7 U2 43 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD OCT 15 PY 2016 VL 134 BP 623 EP 632 DI 10.1016/j.jclepro.2015.10.112 PN B PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DV3BY UT WOS:000382797200020 DA 2019-04-09 ER PT J AU Silva-Castaneda, L Trussart, N AF Silva-Castaneda, Laura Trussart, Nathalie TI Sustainability standards and certification: looking through the lens of Foucault's dispositif SO GLOBAL NETWORKS-A JOURNAL OF TRANSNATIONAL AFFAIRS LA English DT Article DE CERTIFICATION; DISPOSITIF; FOUCAULT; GOVERNANCE; SUSTAINABILITY STANDARDS; TRANSNATIONAL ADVOCACY NETWORKS ID GLOBAL AGRIFOOD SYSTEM; GOVERNANCE; WORLD AB Over the past few decades, sustainability standards and certification have come to play an important role in the global governance of production and trade. Their purpose is to address the environmental and social problems generated by the globalization of the economy. Yet, as scholars and actors alike have pointed out, framing these problems in terms of technical criteria and procedures might result in rendering some issues invisible and closing potential debate and contestation. Through the empirical analysis of a multi-stakeholder initiative called the 'Roundtable of Sustainable Palm Oil', our aim is to explore how civil society organizations and advocacy networks nevertheless draw new lines of power by using, putting to the test, correcting and constructing formalized knowledge. To shed light on these processes of resistance, we advance an analytic that restores the concept of dispositif coined by Michel Foucault in emphasizing both the disruptive and stabilizing lines that compose a dispositif. C1 [Silva-Castaneda, Laura] Univ Paris Est, LISIS, IFRIS, F-77454 Marne La Vallee, France. RP Silva-Castaneda, L (reprint author), Univ Paris Est, LISIS, IFRIS, F-77454 Marne La Vallee, France. EM silva@inra-ifris.org; trussart.nathalie@gmail.com FU Fonds National de la Recherche Scientifique (FNRS); Institute for Research and Innovation in Society (IFRIS); Universite Catholique de Louvain through its Fonds Speciaux de Recherche (FSR) FX With a note of humour, we should thank Foucault for all the inspiration that his work created. More seriously, we would like to thank each other for the rich discussions that the writing of this article generated. We have felt again how, among humanities, the practice of a social scientist and the one of a philosopher are different, although we are familiar with the same authors and concepts. Marc Mormont also played a key role in this discussion thanks to his provocative and inspirational thinking. We are also grateful to Marc Barbier, Esteve Corbera, Francois Dedieu, David Demortain, Elizabeth Fortin, Pierre-Benoit Joly, Tania Murray Li, Allison Loconto, Antoine Maziere, Morgan Meyer, Ashveen Peerbaye and Oliver Pye for their insightful remarks on previous versions of this article and to Gail Fagen for her careful editing of it. The Fonds National de la Recherche Scientifique (FNRS), the Institute for Research and Innovation in Society (IFRIS) and the Universite Catholique de Louvain through its Fonds Speciaux de Recherche (FSR) supported this research. CR Armstrong I T. J., 1992, M FOUCAULT PHILOS, P159 Bain C, 2010, CALCULATING THE SOCIAL: STANDARDS AND THE RECONFIGURATION OF GOVERNING, P56 Bartley Tim, 2010, JERUSALEM PAPERS REG Bonneuil C., 2013, SCI TECHNIQUES SOC Bowker G. C., 1999, SORTING THINGS OUT C Busch L, 2004, RURAL SOCIOL, V69, P321, DOI 10.1526/0036011041730527 Cheyns Emmanuelle, 2011, GOVERNING STANDARDS, P210 Defert D., 2003, GROUPE INFORM PRISON Djama M., 2011, GOVERNING STANDARDS, P184 Dronne Y, 2005, OCL OILS FAT CROP LI, V12, P98, DOI 10.1051/ocl.2005.0098 Ferguson James, 1990, ANTIPOLITICS MACHINE Foucault M., 2003, SOC MUST BE DEFENDED Foucault M., 1998, WILL KNOW HIST SEXUA Foucault M, 1975, DISCIPLINE PUNISH BI Foucault M., 2001, DITS ECRITS, V4, P829 Foucault Michel, 1980, POWER KNOWLEDGE SELE, P194 Foucault Michel, 1998, MICHEL FOUCAULT AEST, P433 Friends of the Earth, 2005, RES REPORT Greenpeace, 2008, UN PLANT CERT DESP G Hatanaka M, 2005, FOOD POLICY, V30, P354, DOI 10.1016/j.foodpol.2005.05.006 Higgins V, 2010, CALCULATING THE SOCIAL: STANDARDS AND THE RECONFIGURATION OF GOVERNING, P1 Keck Margaret E, 1998, ACTIVISTS BORDERS AD Konefal J, 2011, J RURAL STUD, V27, P125, DOI 10.1016/j.jrurstud.2010.12.001 Lampland M., 2008, STANDARDS THEIR STOR Legg S, 2011, AREA, V43, P128, DOI 10.1111/j.1475-4762.2011.01010.x Li TM, 2007, ECON SOC, V36, P263, DOI 10.1080/03085140701254308 Loconto A., 2012, WILEY BLACKWELL ENCY, P2044, DOI DOI 10.1002/9780470670590 Loconto A, 2015, J CLEAN PROD, V107, P64, DOI 10.1016/j.jclepro.2014.05.090 Loconto A, 2014, SCI TECHNOL HUM VAL, V39, P819, DOI 10.1177/0162243914531989 Marti S., 2008, LOSING GROUND HUMAN Mormont M., 2003, SEMINAIRE INRA MORMONT M, 1996, EC RURALE, V236, P28, DOI DOI 10.3406/EC0RU.1996.4822 OMalley P, 1997, ECON SOC, V26, P501 Peerbaye A., 2006, TERRAINS TRAVAUX, V11, P3 PELUSO NL, 1995, ANTIPODE, V27, P383, DOI 10.1111/j.1467-8330.1995.tb00286.x Pentland BT, 2000, ACCOUNT ORG SOC, V25, P307, DOI 10.1016/S0361-3682(99)90047-8 Phillips J, 2006, THEOR CULT SOC, V23, P108, DOI 10.1177/026327640602300219 Ponte S, 2013, GLOBAL NETW, V13, P459, DOI 10.1111/glob.12011 Rodriguez-Garavito CA, 2005, POLIT SOC, V33, P203, DOI 10.1177/003232920527519110.1177/ Rose N., 1999, POWERS FREEDOM REFRA RSPO, 2008, FAQ SPEC TOP RSPO, 2007, RSPO CERT SYST FIN D RSPO, 2007, RSPO PRINC CRIT SUST RSPO, 2010, 8 ANN ROUNDT RSPO M RSPO, 2004, NEW GLOB IN PROM SUS RSPO (Roundtable on Sustainable Palm Oil), 2002, MIN PREP M HAYES LON Silva-Castaneda L., 2015, International Journal of Sociology of Agriculture and Food, V22, P67 Silva-Castaneda L, 2012, REV I SOCIOLOGIE DOS, P91 Silva-Castaneda L, 2012, AGR HUM VALUES, V29, P361, DOI 10.1007/s10460-012-9358-x Silvius M., 2006, PEATLAND DEGRADATION THEVENOT L, 1984, SOC SCI INFORM, V23, P1, DOI 10.1177/053901884023001001 Timmermans S, 2010, ANNU REV SOCIOL, V36, P69, DOI 10.1146/annurev.soc.012809.102629 Trussart N., 2003, DISPOSITIF PUB UNPUB van der Kamp M., 2013, INT J SOCIOLOGY AGR, V20, P109 Wakker E., 2012, PALM OIL CONTROVERSY, P220 Wakker E., 1999, FOREST FIRES EXPANSI NR 56 TC 1 Z9 1 U1 5 U2 24 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1470-2266 EI 1471-0374 J9 GLOBAL NETW JI Glob. Netw. PD OCT PY 2016 VL 16 IS 4 BP 490 EP 510 DI 10.1111/glob.12139 PG 21 WC Anthropology; Geography; Sociology SC Anthropology; Geography; Sociology GA ED2YA UT WOS:000388714900005 DA 2019-04-09 ER PT J AU Kissinger, M Dickler, S AF Kissinger, Meidad Dickler, Shira TI Interregional bio-physical connections-A 'footprint family' analysis of Israel's beef supply system SO ECOLOGICAL INDICATORS LA English DT Article DE Footprint family; Interregional sustainability; International trade; Consumption; Beef ID GREENHOUSE-GAS EMISSIONS; LIFE-CYCLE ASSESSMENT; UNITED-STATES; WATER FOOTPRINTS; MEAT PRODUCTION; CARBON; LAND; SUSTAINABILITY; CONSUMPTION; INDICATORS AB The need to advance bio-physical accounting as a base for sustainability assessment has been acknowledged and advanced in recent years. One approach highly relevant to the 21st century global reality is the 'Footprint'-Ecological, Land, Water and Carbon. While each has merits and limitations, the potential to bring all together under the title of the 'Footprint Family' is emerging. This paper embraces a footprint family approach to analyze beef consumption in the state of Israel over a decade (1999-2010) and explore some tradeoffs between different biophysical components. The research results reveal that on average a tonne of beef consumed in Israel, reflecting a mixture of sources of supply from all over the world requires 9.5 ha of land and 10,000 m(3) of water, mostly for grazing in Latin America (in Brazil and Argentina) but also for growing feed in the U.S and the E.U. Enteric fermentation, manure management, farm operations, shipping and slaughtering generate approximately 19.7 t of CO2 e and the above can be integrated into an ecological footprint figure of approximately 6 global hectares. The paper also demonstrates the utility of inter-regional biophysical accounting at the detailed commodity level. Inter-regional accounting identifies the geographic locations that contribute resources to, and are affected by, the production of specific consumption products. Comprehensive interregional biophysical accounting can be used to generate a better understanding of the complex ecological impacts associated with most consumption products, and the implications of the relationship between these impacts for sustainability. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Kissinger, Meidad; Dickler, Shira] Ben Gurion Univ Negev, Dept Geog & Environm Dev, Beer Sheva, Israel. RP Kissinger, M (reprint author), Ben Gurion Univ Negev, Dept Geog & Environm Dev, Beer Sheva, Israel. EM meidadk@bgu.ac.il CR Capper JL, 2011, J ANIM SCI, V89, P4249, DOI 10.2527/jas.2010-3784 Carvalho C. F. C., 2006, COUNTRY PASTURE FORA Cederberg C., 2002, THESIS Cederberg C., 2009, LIFE CYCLE INVENTORY Central Bureau of Statistics of Israel (CBS), 2013, IMP BEEF CHIN 2007 2 Costanza R, 1996, ECOL APPL, V6, P978, DOI 10.2307/2269581 DALY HERMAN E., 1997, GROWTH EC SUSTAINABL Dauvergne Peter, 2005, GLOBAL ENVIRON POLIT, V5, P35, DOI DOI 10.1162/1526380054794880 de Vries M, 2015, LIVEST SCI, V178, P279, DOI 10.1016/j.livsci.2015.06.020 de Vries M, 2010, LIVEST SCI, V128, P1, DOI 10.1016/j.livsci.2009.11.007 Erb KH, 2004, LAND USE POLICY, V21, P247, DOI 10.1016/j.landusepol.2003.10.010 Ercin AE, 2012, ECOL INDIC, V18, P392, DOI 10.1016/j.ecolind.2011.12.009 European Commission, 2011, ROADM RES EFF Ewing B., 2010, ECOLOGICAL FOOTPRINT Fang K, 2014, ECOL INDIC, V36, P508, DOI 10.1016/j.ecolind.2013.08.017 Fang K, 2013, REV METALL-PARIS, V110, P77, DOI 10.1051/metal/2013051 Fiala N, 2008, ECOL ECON, V67, P412, DOI 10.1016/j.ecolecon.2007.12.021 Galli A., 2007, International Journal of Ecodynamics, V2, P250 Galli A, 2014, BIOL CONSERV, V173, P121, DOI 10.1016/j.biocon.2013.10.019 Galli A, 2012, ECOL INDIC, V16, P100, DOI 10.1016/j.ecolind.2011.06.017 Gerbens-Leenes PW, 2002, ECOL ECON, V42, P185, DOI 10.1016/S0921-8009(02)00049-6 Gerber P. J., 2015, MEAT SCI Giljum S., 2004, J ENVIRON DEV, V13, P73, DOI DOI 10.1177/1070496503260974 Giljum S, 2011, RESOUR CONSERV RECY, V55, P300, DOI 10.1016/j.resconrec.2010.09.009 Hill N., 2012, GUIDLINES DEFRA DECC Hoekstra A., 2004, WATER FOOTPRINTS NAT Hoekstra AY, 2007, WATER RESOUR MANAG, V21, P35, DOI 10.1007/s11269-006-9039-x Hoekstra A. Y., 2009, COMPREHENSIVE INTRO Kastner T, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034015 Kissinger M, 2013, ECOL INDIC, V24, P366, DOI 10.1016/j.ecolind.2012.06.023 Kissinger M, 2011, ENVIRON SCI POLICY, V14, P965, DOI 10.1016/j.envsci.2011.05.007 Kissinger M, 2010, ECOL ECON, V69, P1639, DOI 10.1016/j.ecolecon.2010.03.008 Kissinger M, 2009, ECOL ECON, V68, P2309, DOI 10.1016/j.ecolecon.2009.02.022 Koellner T, 2011, ECOSYSTEM SERVICES G, P83 Leip A, 2010, EVALUATION LIVESTOCK Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004 Mekonnen MM, 2012, ECOSYSTEMS, V15, P401, DOI 10.1007/s10021-011-9517-8 Millen D. D., 2011, Animal Frontiers, V1, P46 Modernel P, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/035052 Mogensen L, 2009, SUSTAIN FOOD IND, V35, P115 Moss AR, 2000, ANN ZOOTECH, V49, P231, DOI 10.1051/animres:2000119 Nguyen TLT, 2010, J CLEAN PROD, V18, P756, DOI 10.1016/j.jclepro.2009.12.023 Norgaard RB, 2007, ECOL ECON, V60, P634, DOI 10.1016/j.ecolecon.2006.01.008 OECD, 2010, OECD REV AGR POL Opio C., 2013, GREENHOUSE GAS EMISS Pathak H, 2010, AGR ECOSYST ENVIRON, V139, P66, DOI 10.1016/j.agee.2010.07.002 Pelletier N, 2010, AGR SYST, V103, P380, DOI 10.1016/j.agsy.2010.03.009 Peters GM, 2010, ENVIRON SCI TECHNOL, V44, P1327, DOI 10.1021/es901131e Phetteplace HW, 2001, NUTR CYCL AGROECOSYS, V60, P99, DOI 10.1023/A:1012657230589 Picasso VD, 2014, MEAT SCI, V98, P346, DOI 10.1016/j.meatsci.2014.07.005 Princen T, 2002, CONFRONTING CONSUMPT Rees W., 1992, ENVIRON URBAN, V4, P121, DOI DOI 10.1177/095624789200400212 Rees W. E., 1995, J PLAN LIT, V9, P343, DOI DOI 10.1177/088541229500900402 Ridoutt BG, 2014, J CLEAN PROD, V73, P24, DOI 10.1016/j.jclepro.2013.08.012 Ridoutt BG, 2013, J IND ECOL, V17, P337, DOI 10.1111/jiec.12026 Ruviaro CF, 2012, J CLEAN PROD, V28, P9, DOI 10.1016/j.jclepro.2011.10.015 Sagee G., 2013, COMMUNICATION 0403 Schroeder R., 2012, J FOOD SCI ENG, V2, P652 Steen-Olsen K, 2012, ENVIRON SCI TECHNOL, V46, P10883, DOI 10.1021/es301949t Steinfeld H, 2006, LIV LONG SHAD Stossel Z., 2014, LAND USE POLICY, V41, P498 Stossel Z, 2015, ECOL ECON, V120, P153, DOI 10.1016/j.ecolecon.2015.10.010 Tamir L, 2013, COMMUNICATION Tukker A., 2014, GLOBAL RESOURCE FOOT USEPA, 2011, OV GREENH GAS Verge XPC, 2008, AGR SYST, V98, P126, DOI 10.1016/j.agsy.2008.05.003 Wackernagel M., 1996, OUR ECOLOGICAL FOOTP Weber CL, 2008, ENVIRON SCI TECHNOL, V42, P3508, DOI 10.1021/es702969f Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 Weiss F, 2012, AGR ECOSYST ENVIRON, V149, P124, DOI 10.1016/j.agee.2011.12.015 Wiedemann S, 2015, J CLEAN PROD, V94, P67, DOI 10.1016/j.jclepro.2015.01.073 Williams A. G., 2006, ISO205 DEFR Xie XX, 2012, ITAL J ANIM SCI, V11, P312, DOI 10.4081/ijas.2012.e58 NR 73 TC 1 Z9 2 U1 2 U2 8 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD OCT PY 2016 VL 69 BP 882 EP 891 DI 10.1016/j.ecolind.2016.05.024 PG 10 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA ED3YT UT WOS:000388785100085 DA 2019-04-09 ER PT J AU Hu, TT Huang, K Yu, YJ Zhang, XX Xu, YJ Wang, XM AF Hu, Tingting Huang, Kai Yu, Yajuan Zhang, Xiaoxia Xu, Yanjie Wang, Xiaomeng TI Measuring Water Footprint on a Lake Basin Scale: A Case Study of Lake Dianchi, China SO CLEAN-SOIL AIR WATER LA English DT Article DE Top-down method; Total water footprint; Water resources; Water sustainability ID RIVER-BASIN; CONSUMPTION; TRADE; RESOURCES; FRAMEWORK; PRODUCTS; QUALITY; YUNNAN; FLOWS; LCA AB Water scarcity in lake basins has caused severe environmental problems. Water footprint assessment at the basin level is becoming a popular issue in water sustainability research. This study establishes a comprehensive water footprint assessment framework on the scale of a lake basin by using the top-down method. The components of water footprint assessment include agricultural water footprint, industrial water footprint, domestic water footprint, ecological environment water footprint, and virtual water flow, including virtual water imports and exports. This study used Lake Dianchi Basin in China as the case study area, based on published data, quantifying the total water footprint and measuring the water sustainability of Lake Dianchi Basin from 2000 to 2011. The results show that the average annual total water footprint for Lake Dianchi Basin was 28.18 *x 10(8)m(3), 95.4% of which was the internal water footprint. Agricultural production used most of the water, accounting for 74.1% of the total water footprint. The per capita water footprint was 960.51 m(3)/year, which was higher than those in most other regions of China. Lake Dianchi Basin should improve its water sustainability in terms of its internal and external water footprints. Importing water from other regions in both real and virtual forms should be considered in terms of the external water footprint. This study provides new insights on water footprint assessment methodology at the basin level and for improving basin water resource management from the macroscopic angle. C1 [Hu, Tingting; Huang, Kai; Zhang, Xiaoxia; Wang, Xiaomeng] Beijing Forestry Univ, Coll Environm Sci & Engn, POB 60,35 Tsinghua East Rd, Beijing 100083, Peoples R China. [Yu, Yajuan] Beijing Inst Technol, Sch Chem Engn & Environm, Beijing Key Lab Environm Sci & Engn, Beijing, Peoples R China. [Xu, Yanjie] Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing, Peoples R China. [Xu, Yanjie] Tsinghua Univ, Ctr Earth Syst Sci, Beijing, Peoples R China. RP Huang, K (reprint author), Beijing Forestry Univ, Coll Environm Sci & Engn, POB 60,35 Tsinghua East Rd, Beijing 100083, Peoples R China. EM huangkmail@gmail.com OI Xu, Yanjie/0000-0003-4420-6353 FU National Natural Science Foundation of China [41301636, 51474033]; Beijing Natural Science Foundation [9122017] FX This research was supported by National Natural Science Foundation of China (41301636, 51474033) and Beijing Natural Science Foundation (9122017). CR Aldaya M.M., 2012, WATER FOOTPRINT ASSE Allan T, 1993, FORTUNATELY THERE AR Allen R. G., 1998, FAO Irrigation and Drainage Paper Aviso KB, 2011, J CLEAN PROD, V19, P187, DOI 10.1016/j.jclepro.2010.09.003 Bao C, 2012, WATER RESOUR MANAG, V26, P531, DOI 10.1007/s11269-011-9930-y Bayart JB, 2010, INT J LIFE CYCLE ASS, V15, P439, DOI 10.1007/s11367-010-0172-7 Chapagain AK, 2007, ECOL ECON, V64, P109, DOI 10.1016/j.ecolecon.2007.02.022 Chapagain AK, 2006, ECOL ECON, V60, P186, DOI 10.1016/j.ecolecon.2005.11.027 CMA, 2014, CHIN MET DAT SHAR SE Dong HJ, 2013, SCI TOTAL ENVIRON, V442, P215, DOI 10.1016/j.scitotenv.2012.10.049 Ewing BR, 2012, ECOL INDIC, V23, P1, DOI 10.1016/j.ecolind.2012.02.025 FAO, 2013, CROPWAT 8 0 MOD Faramarzi M, 2010, HYDROL EARTH SYST SC, V14, P1417, DOI 10.5194/hess-14-1417-2010 Feng KS, 2012, APPL GEOGR, V32, P691, DOI 10.1016/j.apgeog.2011.08.004 Ge LQ, 2011, WATER RESOUR MANAG, V25, P2633, DOI 10.1007/s11269-011-9830-1 Hester ET, 2013, ENVIRON SCI TECHNOL, V47, P8083, DOI 10.1021/es400513f Hightower M, 2009, GROUND WATER, V47, P765, DOI 10.1111/j.1745-6584.2009.00625_2.x Hoekstra A., 2003, VIRT WAT TRAD P INT Hoekstra AY, 2007, WATER RESOUR MANAG, V21, P35, DOI 10.1007/s11269-006-9039-x Huang J, 2014, IEEE CAA J AUTOMAT S, V1, P1, DOI DOI 10.1371/J0URNAL.P0NE.0109996 Huang J., 2012, J THEORY ORDERED SET, V1, P1, DOI DOI 10.1145/2307636.2307658 IWMI, 2007, WAT FOOD WAT LIF COM KBS, 2012, KUNM STAT YB Luo J, 2004, FUNGAL DIVERS, V16, P93 Mekonnen MM, 2012, ECOSYSTEMS, V15, P401, DOI 10.1007/s10021-011-9517-8 Meng J, 2014, J CLEAN PROD, V68, P7, DOI 10.1016/j.jclepro.2013.12.045 NBS, 2008, CHIN STAT YB 2008 Pfister S, 2009, ENVIRON SCI TECHNOL, V43, P4098, DOI 10.1021/es802423e Siebert S, 2010, J HYDROL, V384, P198, DOI 10.1016/j.jhydrol.2009.07.031 Sivakumar B, 2011, HYDROLOG SCI J, V56, P531, DOI 10.1080/02626667.2011.580747 Sun C. Z., 2010, ACTA ECOL SIN, V5, P1312 Sun SK, 2013, WATER RESOUR MANAG, V27, P2447, DOI 10.1007/s11269-013-0296-1 Tanaka T, 2013, J ENVIRON SCI-CHINA, V25, P1107, DOI 10.1016/S1001-0742(12)60206-X van Oel PR, 2009, ECOL ECON, V69, P82, DOI 10.1016/j.ecolecon.2009.07.014 Vanham D, 2014, WATER SCI TECHNOL, V69, P789, DOI 10.2166/wst.2013.759 Wan X, 2011, CHEMOSPHERE, V85, P361, DOI 10.1016/j.chemosphere.2011.06.098 Wang Z, 2012, CHEMOSPHERE, V89, P1255, DOI 10.1016/j.chemosphere.2012.08.001 Wang ZY, 2013, J CLEAN PROD, V42, P172, DOI 10.1016/j.jclepro.2012.11.007 Xu YJ, 2015, J CLEAN PROD, V87, P180, DOI 10.1016/j.jclepro.2014.08.103 Yang YH, 2010, ENVIRON MONIT ASSESS, V170, P407, DOI 10.1007/s10661-009-1242-9 YPB, 2011, YUNN WAT RES B Yu Y, 2010, ECOL ECON, V69, P1140, DOI 10.1016/j.ecolecon.2009.12.008 Zeng Z, 2012, HYDROL EARTH SYST SC, V16, P2771, DOI 10.5194/hess-16-2771-2012 Zhang C, 2014, ECOL ECON, V100, P159, DOI 10.1016/j.ecolecon.2014.02.006 Zhang ZY, 2011, ECOL ECON, V70, P2494, DOI 10.1016/j.ecolecon.2011.08.011 Zhao X, 2010, ENVIRON SCI TECHNOL, V44, P9150, DOI 10.1021/es100886r [支国强 Zhi Guoqiang], 2013, [长江流域资源与环境, Resources and Environment in the Yangtze Basin], V22, P1227 NR 47 TC 4 Z9 4 U1 6 U2 30 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1863-0650 EI 1863-0669 J9 CLEAN-SOIL AIR WATER JI Clean-Soil Air Water PD OCT PY 2016 VL 44 IS 10 BP 1296 EP 1305 DI 10.1002/clen.201400765 PG 10 WC Green & Sustainable Science & Technology; Environmental Sciences; Marine & Freshwater Biology; Water Resources SC Science & Technology - Other Topics; Environmental Sciences & Ecology; Marine & Freshwater Biology; Water Resources GA EC0QK UT WOS:000387805500004 DA 2019-04-09 ER PT J AU Smetana, S Tamasy, C Mathys, A Heinz, V AF Smetana, Sergiy Tamasy, Christine Mathys, Alexander Heinz, Volker TI Measuring Relative Sustainability of Regions Using Regional Sustainability Assessment Methodology SO GEOGRAPHICAL ANALYSIS LA English DT Article ID INPUT-OUTPUT-ANALYSIS; INTERNATIONAL-TRADE ACTIVITIES; LIFE-CYCLE ASSESSMENT; ECOLOGICAL NETWORKS; ECONOMIC-GEOGRAPHY; LAND APPROPRIATION; LINKAGES; FOOD; SYSTEM; ENERGY AB Scientists analyze sustainability at the regional level with a combination of multiple indicators which reflect different characteristics of regions without combining the results in a single comparative unit. Moreover, the assessment of interdependencies between different characteristics requires experts' analyses, which makes sustainability analysis subjective, time consuming, and limited in use. This article analyzes the relative sustainability of subnational level regions through the application of regional sustainability assessment methodology (RSAM) based on accounting of resources capital and its internal and external transfers. This approach allows for assessment of regional sustainability as a function of resource quantity, quality, and interchangeability. The comparison of the two case study regions presented in the paper indicates the difference between a more sustainable region and a region of "weak sustainability." First, the article indicates the discussion of the relevant geographic, economic, and social literature for both sustainability assessment and regional comparison. This discussion is followed by a conceptual representation of proposed RSAM and its application to various regions. Next, the article covers the data used and applied methods to test the proposed methodology and compare the two case study regions. The article concludes with a discussion of findings and recommendations for further application and testing. C1 [Smetana, Sergiy; Tamasy, Christine] Univ Vechta, Inst Spatial Anal & Planning Areas Intens Agr ISP, D-49377 Vechta, Germany. [Smetana, Sergiy; Heinz, Volker] German Inst Food Technol DIL eV, Prof von Klitzing Str 7, D-49610 Quakenbruck, Germany. [Mathys, Alexander] ETH, Lab Sustainable Food Proc, Inst Food Nutr & Hlth, CH-8092 Zurich, Switzerland. RP Smetana, S (reprint author), German Inst Food Technol DIL eV, Prof von Klitzing Str 7, D-49610 Quakenbruck, Germany. EM s.smetana@dil-ev.de RI Mathys, Alexander/B-3255-2016; Smetana, Sergiy/B-2514-2012 OI Mathys, Alexander/0000-0003-1633-848X; Smetana, Sergiy/0000-0002-5471-0521 CR Adger WN, 2003, ECON GEOGR, V79, P387 Agostinho F, 2012, ENERGY, V37, P103, DOI 10.1016/j.energy.2011.10.003 Allen CR, 2011, J ENVIRON MANAGE, V92, P1339, DOI 10.1016/j.jenvman.2010.11.019 Allesina S, 2004, COMPUT BIOL CHEM, V28, P227, DOI 10.1016/j.compbiolchem.2004.04.002 Barca F, 2012, J REGIONAL SCI, V52, P134, DOI 10.1111/j.1467-9787.2011.00756.x Batabyal AA, 2014, GEOGR ANAL, V46, P1, DOI 10.1111/gean.12027 Bellamy MA, 2013, SYSTEMS ENG, V16, P235, DOI 10.1002/sys.21238 Birch K, 2010, SUSTAINABILITY, V2, P2898, DOI DOI 10.3390/SU2092898 Blazek J, 2009, EUR SPAT RES POLICY, V16, P75, DOI 10.2478/v10105-009-0005-5 Boschma R, 2013, ECON GEOGR, V89, P29, DOI 10.1111/j.1944-8287.2012.01170.x Boschma R, 2009, ECON GEOGR, V85, P289, DOI 10.1111/j.1944-8287.2009.01034.x Burkhard B, 2012, ECOL INDIC, V21, P1, DOI 10.1016/j.ecolind.2012.03.008 Cabello JM, 2014, ECOL INDIC, V39, P10, DOI 10.1016/j.ecolind.2013.11.013 Cainelli G, 2012, ECON GEOGR, V88, P255, DOI 10.1111/j.1944-8287.2012.01156.x Campbell DE, 2012, J ENVIRON MANAGE, V95, P72, DOI 10.1016/j.jenvman.2011.07.028 Canavese D, 2014, ECOL INDIC, V36, P711, DOI 10.1016/j.ecolind.2013.09.030 Caputo P, 2014, SUSTAINABILITY-BASEL, V6, P631, DOI 10.3390/su6020631 Coelho P, 2010, SUSTAIN DEV, V18, P211, DOI 10.1002/sd.488 Cooke P, 2005, REG STUD, V39, P1065, DOI 10.1080/00343400500328065 Cooke P, 2006, J TECHNOLOGY TRANSFE, V31, P5, DOI DOI 10.1007/S10961-005-5009-3 Daniels PL, 2011, ECON SYST RES, V23, P353, DOI 10.1080/09535314.2011.633500 Devine-Wright P, 2001, IMPACT ASSESS PROJ A, V19, P161, DOI DOI 10.3152/147154601781767096 Dicks LV, 2013, SUSTAINABILITY-BASEL, V5, P3095, DOI 10.3390/su5073095 DiFrancesco R, 1998, GEOGR ANAL, V30, P15 Dollery B, 2007, AUSTRALAS J REG STUD, V13, P110 Eurostat, 2011, SUST DEV EUR UN 2011, DOI [10.2785/1538, DOI 10.2785/1538] Fath BD, 1999, ECOSYSTEMS, V2, P167, DOI 10.1007/s100219900067 Fath BD, 2007, ECOL MODEL, V208, P17, DOI 10.1016/j.ecolmodel.2007.04.020 Felsenstein D, 2000, GEOGR ANAL, V32, P36 Finkbeiner Matthias, 2010, Sustainability, V2, P3309, DOI 10.3390/su2103309 Finn J., 1976, J THEOR BIOL, V23, P363 Finnveden G, 2009, J ENVIRON MANAGE, V91, P1, DOI 10.1016/j.jenvman.2009.06.018 Flegg A., 2011, REG STUD, V47, P703, DOI DOI 10.1080/00343404.2011.592138 Florida R, 2008, J ECON GEOGR, V8, P615, DOI 10.1093/jeg/lbn023 Gallego-Alvarez I, 2015, ECOL INDIC, V58, P139, DOI 10.1016/j.ecolind.2015.05.025 Geels FW, 2010, RES POLICY, V39, P495, DOI 10.1016/j.respol.2010.01.022 Gil J, 2014, GEOGR ANAL, V46, P368, DOI 10.1111/gean.12062 Gluckler J, 2007, J ECON GEOGR, V7, P619, DOI 10.1093/jeg/lbm023 Graymore MLM, 2010, ECOL ECON, V69, P459, DOI 10.1016/j.ecolecon.2009.08.016 Graymore MLM, 2008, ECOL ECON, V67, P362, DOI 10.1016/j.ecolecon.2008.06.002 Graymore MLM, 2009, ECOL COMPLEX, V6, P453, DOI 10.1016/j.ecocom.2009.08.006 Guinee JB, 2011, ENVIRON SCI TECHNOL, V45, P90, DOI 10.1021/es101316v Guiso L., 2010, 15845 NBER Gunderson L. H., 2002, PANARCHY UNDERSTANDI Gunton T, 2003, ECON GEOGR, V79, P67 HANINK DM, 1993, GEOGR ANAL, V25, P234 Hay L, 2014, J ENVIRON MANAGE, V133, P232, DOI 10.1016/j.jenvman.2013.11.048 Hendrickson C, 1998, ENVIRON SCI TECHNOL, V32, p184A, DOI 10.1021/es983471i Hendrickson C. T., 2006, ENV LIFE CYCLE ASSES Hewings G. J. D., 1986, HDB REGIONAL URBAN E, VI, P295, DOI DOI 10.1016/S1574-0080(00)80011-5 Hillier B., 2009, S Q J MODERN FOREIGN, P20 Hoekstra R, 2006, ECOL ECON, V59, P375, DOI 10.1016/j.ecolecon.200S.11.005 Hopton ME, 2012, J ENVIRON MANAGE, V111, P279, DOI 10.1016/j.jenvman.2011.07.005 HUALLACHAIN BO, 1985, GEOGR ANAL, V17, P130 Hubacek K, 2003, ECOL ECON, V44, P137, DOI 10.1016/S0921-8009(02)00257-4 Ingwersen W, 2014, SUSTAINABILITY-BASEL, V6, P1386, DOI 10.3390/su6031386 Jensen CD, 2013, REG STUD, V47, P913, DOI 10.1080/00343404.2011.599797 Jiang XM, 2012, REG STUD, V46, P621, DOI 10.1080/00343404.2010.522566 Jungbluth N, 2011, ENV STUDIES KARASKA GJ, 1969, GEOGR ANAL, V1, P354 Kortelainen J, 2015, ECON GEOGR, V91, P59, DOI 10.1111/ecge.12064 Kurka T, 2013, ENERGY, V62, P393, DOI 10.1016/j.energy.2013.09.053 Lahr M., 1993, ECON SYST RES, V5, P277, DOI DOI 10.1080/09535319300000023 Lein JK, 2014, SUSTAINABILITY-BASEL, V6, P2067, DOI 10.3390/su6042067 Leontief W. W, 1951, SCI AM, V185, P15, DOI [10.1038/scientificamerican1051-15, DOI 10.1038/SCIENTIFICAMERICAN1051-15] Liu GY, 2011, ECOL MODEL, V222, P2825, DOI 10.1016/j.ecolmodel.2011.04.034 Manning S, 2012, ECOL ECON, V83, P197, DOI 10.1016/j.ecolecon.2011.08.029 Martin R, 2007, J ECON GEOGR, V7, P573, DOI 10.1093/jeg/lbm019 Meadows D, 1998, INDICATORS INFORM SY Midmore P, 2006, REG STUD, V40, P329, DOI 10.1080/00343400600631673 Miller RE., 2009, INPUT OUTPUT ANAL FD Munda G, 2011, REG STUD, V45, P261, DOI 10.1080/00343401003713316 Mutel C. L., 2012, 20604 DISS ETH, DOI [10.3929/ethz-a-007586392, DOI 10.3929/ETHZ-A-007586392] Neffke F, 2011, ECON GEOGR, V87, P237, DOI 10.1111/j.1944-8287.2011.01121.x Ness B, 2007, ECOL ECON, V60, P498, DOI 10.1016/j.ecolecon.2006.07.023 OLSEN JA, 1992, ECON MODEL, V9, P365 Oosterhaven J, 2005, GEOGR ANAL, V37, P69, DOI 10.1111/j.1538-4632.2005.00522.x Opdam P, 2006, LANDSCAPE URBAN PLAN, V75, P322, DOI 10.1016/j.landurbplan.2005.02.015 Patterson MG, 2011, REG STUD, V45, P333, DOI 10.1080/00343400903241451 Raskin Paul D, 2010, Sustainability, V2, P2626, DOI 10.3390/su2082626 Rodriguez-Pose A, 2012, ECON GEOGR, V88, P109, DOI 10.1111/j.1944-8287.2012.01147.x Rollin F, 2011, TRENDS FOOD SCI TECH, V22, P99, DOI 10.1016/j.tifs.2010.09.001 Sargento A. L. M., 2009, INTRO INPUT OUTPUT A Schaffartzik A, 2014, J IND ECOL, V18, P102, DOI 10.1111/jiec.12055 Shmelev SE, 2012, ECOLOGICAL ECONOMICS: SUSTAINABILITY IN PRACTICE, P87, DOI 10.1007/978-94-007-1972-9_6 Singh RK, 2012, ECOL INDIC, V15, P281, DOI 10.1016/j.ecolind.2011.01.007 Smetana S, 2015, REG SCI POLICY PRACT, V7, P163, DOI 10.1111/rsp3.12068 Suh S, 2004, ECOL ECON, V48, P9, DOI 10.1016/j.ecolecon.2003.09.003 Tamasy C, 2013, APPL GEOGR, V45, P385, DOI 10.1016/j.apgeog.2013.02.012 Titze M., 2009, REG STUD, V45, P89, DOI [10.1080/00343400903234688, DOI 10.1080/00343400903234688] Tukker A, 2002, RISK ANAL, V22, P821, DOI 10.1111/1539-6924.00254 Tukker A, 2009, ECOL ECON, V68, P1928, DOI 10.1016/j.ecolecon.2008.11.010 Ulanowicz RE, 2004, COMPUT BIOL CHEM, V28, P321, DOI 10.1016/j.compbiolchem.2004.09.001 United Nations, 2007, IND SUST DEV GUID ME Van Passel S, 2012, ENVIRON IMPACT ASSES, V32, P170, DOI 10.1016/j.eiar.2011.08.005 Voinov Alexey, 2008, Environment Development and Sustainability, V10, P487, DOI 10.1007/s10668-006-9076-x Weisz H, 2006, ECOL ECON, V57, P534, DOI 10.1016/j.ecolecon.2005.05.011 Yi I, 2007, INT J LIFE CYCLE ASS, V12, P353, DOI 10.1065/lca2007.06.339 ZAMAGNI A, 2012, THE INTERNATIONAL JO, V17, P373, DOI DOI 10.1007/S11367-012-0389-8 Zeijl-Rozema A. van, 2010, Sustainability: Science, Practice & Policy, V6, P6 NR 100 TC 2 Z9 2 U1 2 U2 20 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0016-7363 EI 1538-4632 J9 GEOGR ANAL JI Geogr. Anal. PD OCT PY 2016 VL 48 IS 4 BP 391 EP 410 DI 10.1111/gean.12102 PG 20 WC Geography SC Geography GA EC7KF UT WOS:000388316000003 DA 2019-04-09 ER PT J AU Niu, KC He, JS Lechowicz, MJ AF Niu, Kechang He, Jin-Sheng Lechowicz, Martin J. TI Grazing-induced shifts in community functional composition and soil nutrient availability in Tibetan alpine meadows SO JOURNAL OF APPLIED ECOLOGY LA English DT Article DE community structure; functional traits; grazing rotation; leaf economics spectrum; plant-herbivore interactions; rangeland sustainability; soil fertility; species turnover ID INTRASPECIFIC TRAIT VARIABILITY; LEAF ECONOMICS SPECTRUM; PLANT TRAITS; LAND-USE; GRASSLAND COMMUNITIES; TRADE-OFFS; RESPONSES; LEVEL; PHOSPHORUS; DIVERSITY AB 1. The functional structure of plant communities can be altered by grazing through two main mechanisms: species turnover (i.e. changes in species occurrence and relative abundance) and intraspecific trait variability (ITV), which is driven by phenotypic responses of individual plants and shifts in the relative abundance of genotypic variants within species. Studies of grassland ecosystem function under grazing often focus on community changes induced by species turnover, which ignores the effects of ITV on biomass productivity, soil carbon or nutrient availability. By quantifying the relative contribution of both effects on shifts in community -wide traits, we highlight the role of ITV in community functional response to grazing and its implications for ecosystem function in Tibetan alpine meadows. 2. We measured three chemical traits (LC: leaf carbon, LN: leaf nitrogen and LP: leaf phosphorus concentrations) and two morphological traits (SLA: specific leaf area, LDMC: leaf dry matter content) that are critical components of plant production and forage quality in grazed and ungrazed plots. Using variance decomposition of community-weighted means (CWM) for these foliar traits, we distinguished the relative importance of ITV vs. change in species occurrence and abundance in response to grazing and the associated changes in soil carbon and nutrient availability. 3. The CWM for foliar nutrients and SLA(CWM) increased in response to grazing together with decreases in soil carbon and nutrient stores, especially LPCWM enrichment and loss of available soil P. The LPCWM was strongly negatively correlated with LDMCCWM, which was significantly higher in ungrazed plots. These community-wide trait responses to grazing were generally best captured by ITV and not changes in species occurrence and abundance, although ITV was consistently correlated with species turnover for all traits. 4. Synthesis and applications. In response to continuous grazing, plants in Tibetan alpine meadows increase specific leaf area and foliar nutrients but tend to have lower leaf dry matter content, a response consistent with faster growth and regrowth under grazing. This intraspecific trait variability response drives a shift in community function from conservative, slow-growing resource use in ungrazed meadows to exploitative resource use under grazing. This community-wide functional response enhances forage quality, in turn favouring the secondary productivity of small herbivorous mammal communities, but also contributes to accelerated depletion of soil available phosphorus. We discuss the implications of these results for biodiversity conservation, ecosystem function and rangeland sustainability in the Qinghai Tibetan Plateau, especially with regard to managing grazing rotation to strike a balance between favouring secondary productivity of domesticated stock vs. small herbivorous mammals C1 [Niu, Kechang] Nanjing Univ, Dept Biol, Nanjing 210023, Jiangsu, Peoples R China. [Niu, Kechang; He, Jin-Sheng] Peking Univ, Dept Ecol, Beijing 100871, Peoples R China. [Niu, Kechang; Lechowicz, Martin J.] McGill Univ, Dept Biol, 1205 Doctor Penfield Ave, Montreal, PQ H3A 1B1, Canada. RP Niu, KC (reprint author), Nanjing Univ, Dept Biol, Nanjing 210023, Jiangsu, Peoples R China.; Niu, KC (reprint author), Peking Univ, Dept Ecol, Beijing 100871, Peoples R China.; Niu, KC (reprint author), McGill Univ, Dept Biol, 1205 Doctor Penfield Ave, Montreal, PQ H3A 1B1, Canada. EM kechangniu@nju.edu.cn RI He, Jin-Sheng/A-4053-2009 OI He, Jin-Sheng/0000-0001-5081-3569 FU National Science Foundation of China [31370008]; National Basic Research Program of China [2013CB956304] FX We thank Professor Shucun Sun, Philippe Choler, Marc Cadotte, Lara Souza and two anonymous referees for valuable discussion and constructive comments on earlier versions of this manuscript. We are especially grateful to Zhenong Jin and Lin Ma from Peking University and Professor Guozhen Du and Dr. Xianhui Zhou from the Research Station of Alpine Meadow and Wetland Ecosystems at Lanzhou University, China, for providing invaluable field and laboratory assistance. The study was supported by the National Science Foundation of China (grant no 31370008) and National Basic Research Program of China (no. 2013CB956304). CR Adler PB, 2004, J APPL ECOL, V41, P653, DOI 10.1111/j.0021-8901.2004.00934.x Albert CH, 2011, PERSPECT PLANT ECOL, V13, P217, DOI 10.1016/j.ppees.2011.04.003 Albert CH, 2010, J ECOL, V98, P604, DOI 10.1111/j.1365-2745.2010.01651.x Asplund J, 2014, FUNCT ECOL, V28, P1513, DOI 10.1111/1365-2435.12278 Bai YF, 2012, J APPL ECOL, V49, P1204, DOI 10.1111/j.1365-2664.2012.02205.x Bates D., 2011, LME4 LINEAR MIXED EF Bolnick DI, 2011, TRENDS ECOL EVOL, V26, P183, DOI 10.1016/j.tree.2011.01.009 Briske DD, 2011, RANGELAND ECOL MANAG, V64, P325, DOI 10.2111/REM-D-10-00084.1 Cao J., 2013, J ARID ENVIRON, V97, P3 Carmona CP, 2015, J VEG SCI, V26, P538, DOI 10.1111/jvs.12260 Carmona CP, 2012, J APPL ECOL, V49, P1084, DOI 10.1111/j.1365-2664.2012.02193.x Cingolani AM, 2005, J APPL ECOL, V42, P50, DOI 10.1111/j.1365-2664.2004.00978.x Comelissen JHC, 2003, AUSTR J BOT, V51, P335, DOI DOI 10.1071/BT02124 De Bello F, 2005, J APPL ECOL, V42, P824, DOI 10.1111/j.1365-2664.2005.01079.x de la Riva EG, 2016, OIKOS, V125, P354, DOI 10.1111/oik.01875 Diaz S, 2004, J VEG SCI, V15, P295, DOI 10.1111/j.1654-1103.2004.tb02266.x Diaz S, 2007, P NATL ACAD SCI USA, V104, P20684, DOI 10.1073/pnas.0704716104 Diaz S, 2007, GLOBAL CHANGE BIOL, V13, P313, DOI 10.1111/j.1365-2486.2006.01288.x Donovan LA, 2011, TRENDS ECOL EVOL, V26, P88, DOI 10.1016/j.tree.2010.11.011 Eldridge DJ, 2016, ECOL APPL, V26, P1273, DOI 10.1890/15-1234 Frank DA, 2002, ECOLOGY, V83, P602, DOI 10.1890/0012-9658(2002)083[0602:CCOGPP]2.0.CO;2 Friendly M., 2013, VISUALIZING GEN CANO Gamier E., 2007, ANN BOT, V99, P967, DOI DOI 10.1093/A0B/MC1215 Gamier E, 2004, ECOLOGY, V85, P2630, DOI DOI 10.1890/03-0799 Gibson DJ, 2009, GRASSES GRASSLAND EC Grime J.P., 2001, PLANT STRATEGIES VEG Grime JP, 1998, J ECOL, V86, P902, DOI 10.1046/j.1365-2745.1998.00306.x Harris RB, 2010, J ARID ENVIRON, V74, P1, DOI 10.1016/j.jaridenv.2009.06.014 He JS, 2008, OECOLOGIA, V155, P301, DOI 10.1007/s00442-007-0912-y He JS, 2006, OECOLOGIA, V149, P115, DOI 10.1007/s00442-006-0425-0 Hong JT, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109052 Hooper DU, 2005, ECOL MONOGR, V75, P3, DOI 10.1890/04-0922 Jiang Z., 1985, Acta Theriologica Sinica, V5, P251 Jung V, 2014, J ECOL, V102, P45, DOI 10.1111/1365-2745.12177 Jung V, 2010, J ECOL, V98, P1134, DOI 10.1111/j.1365-2745.2010.01687.x Kichenin E, 2013, FUNCT ECOL, V27, P1254, DOI 10.1111/1365-2435.12116 Laughlin DC, 2014, ECOL LETT, V17, P771, DOI 10.1111/ele.12288 Lavorel S, 2002, FUNCT ECOL, V16, P545, DOI 10.1046/j.1365-2435.2002.00664.x Lavorel S, 2012, J ECOL, V100, P128, DOI 10.1111/j.1365-2745.2011.01914.x Leps J, 2011, ECOGRAPHY, V34, P856, DOI 10.1111/j.1600-0587.2010.06904.x Lessard JP, 2012, TRENDS ECOL EVOL, V27, P600, DOI 10.1016/j.tree.2012.07.006 Mason NWH, 2011, J ECOL, V99, P788, DOI 10.1111/j.1365-2745.2011.01801.x McIntyre S, 2008, AGR ECOSYST ENVIRON, V128, P251, DOI 10.1016/j.agee.2008.06.015 Mcsherry ME, 2013, GLOBAL CHANGE BIOL, V19, P1347, DOI 10.1111/gcb.12144 Messier J, 2010, ECOL LETT, V13, P838, DOI 10.1111/j.1461-0248.2010.01476.x Miehe G, 2009, PALAEOGEOGR PALAEOCL, V276, P130, DOI 10.1016/j.palaeo.2009.03.005 Mouillot D, 2013, TRENDS ECOL EVOL, V28, P167, DOI 10.1016/j.tree.2012.10.004 Muller DWH, 2013, COMP BIOCHEM PHYS A, V164, P129, DOI 10.1016/j.cbpa.2012.09.018 Nelson D.W., 1982, METHODS SOIL ANAL, P539, DOI DOI 10.2134/AGR0NM0N0GR9.2.2ED.C29 Niu K.C., 2016, DRYAD DIGITAL REPOSI Niu KC, 2016, BIODIVERS CONSERV, V25, P2441, DOI 10.1007/s10531-015-0960-2 Niu KC, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00547.1 Niu KC, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035448 Niu KC, 2010, PLANT SOIL, V330, P215, DOI 10.1007/s11104-009-0194-8 Niu KC, 2009, FUNCT ECOL, V23, P274, DOI 10.1111/j.1365-2435.2008.01502.x Perez-Ramos IM, 2012, J ECOL, V100, P1315, DOI 10.1111/1365-2745.12000 Post DM, 2008, ECOLOGY, V89, P2019, DOI 10.1890/07-1216.1 Prieto I, 2015, J ECOL, V103, P361, DOI 10.1111/1365-2745.12351 Reich PB, 2014, J ECOL, V102, P275, DOI 10.1111/1365-2745.12211 Ryser P, 2000, AM J BOT, V87, P402, DOI 10.2307/2656636 Schank JC, 2009, J COMP PSYCHOL, V123, P421, DOI 10.1037/a0013579 Schipanski ME, 2012, ECOSYSTEMS, V15, P256, DOI 10.1007/s10021-011-9507-x Shipley B, 2006, ECOLOGY, V87, P535, DOI 10.1890/05-1051 Siefert A, 2016, OECOLOGIA, V181, P245, DOI 10.1007/s00442-016-3563-z Siefert A, 2015, ECOL LETT, V18, P1406, DOI 10.1111/ele.12508 SOMMERS LE, 1972, SOIL SCI SOC AM J, V36, P902, DOI 10.2136/sssaj1972.03615995003600060020x Suding KN, 2008, GLOBAL CHANGE BIOL, V14, P1125, DOI 10.1111/j.1365-2486.2008.01557.x Violle C, 2012, TRENDS ECOL EVOL, V27, P244, DOI 10.1016/j.tree.2011.11.014 Volf M, 2016, OECOLOGIA, V180, P941, DOI 10.1007/s00442-016-3548-y Wang Xi, 1992, Acta Theriologica Sinica, V12, P183 Wilson MC, 2015, AMBIO, V44, P16, DOI 10.1007/s13280-014-0568-x Wise MJ, 2007, AM NAT, V169, P443, DOI 10.1086/512044 Wise MJ, 2005, OIKOS, V109, P417, DOI 10.1111/j.0030-1299.2005.13878.x Wright IJ, 2004, NATURE, V428, P821, DOI 10.1038/nature02403 Xiong DP, 2014, CHINESE GEOGR SCI, V24, P488, DOI 10.1007/s11769-014-0697-y Yang YH, 2014, GLOBAL ECOL BIOGEOGR, V23, P947, DOI 10.1111/geb.12175 Yang ZL, 2012, ECOLOGY, V93, P2321, DOI 10.1890/11-2212.1 Zhang Ting, 2014, Acta Prataculturae Sinica, V23, P20 Zhao Guo-qin, 2013, Yingyong Shengtai Xuebao, V24, P2122 NR 79 TC 7 Z9 10 U1 9 U2 87 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0021-8901 EI 1365-2664 J9 J APPL ECOL JI J. Appl. Ecol. PD OCT PY 2016 VL 53 IS 5 BP 1554 EP 1564 DI 10.1111/1365-2664.12727 PG 11 WC Biodiversity Conservation; Ecology SC Biodiversity & Conservation; Environmental Sciences & Ecology GA EC0FE UT WOS:000387773000027 DA 2019-04-09 ER PT J AU Antunes, AP Fewster, RM Venticinque, EM Peres, CA Levi, T Rohe, F Shepard, GH AF Antunes, Andre P. Fewster, Rachel M. Venticinque, Eduardo M. Peres, Carlos A. Levi, Taal Rohe, Fabio Shepard, Glenn H., Jr. TI Empty forest or empty rivers? A century of commercial hunting in Amazonia SO SCIENCE ADVANCES LA English DT Article ID OTTER PTERONURA-BRASILIENSIS; DROUGHT SENSITIVITY; PERUVIAN AMAZON; TAYASSU PECARI; RAIN-FOREST; BRAZIL; SUSTAINABILITY; DEFORESTATION; MANAGEMENT; DISPERSAL AB The Amazon basin is the largest and most species-rich tropical forest and river system in the world, playing a pivotal role in global climate regulation and harboring hundreds of traditional and indigenous cultures. It is a matter of intense debate whether the ecosystem is threatened by hunting practices, whereby an "empty forest" loses critical ecological functions. Strikingly, no previous study has examined Amazonian ecosystem resilience through the perspective of the massive 20th century international trade in furs and skins. We present the first historical account of the scale and impacts of this trade and show that whereas aquatic species suffered basin-wide population collapse, terrestrial species did not. We link this differential resilience to the persistence of adequate spatial refuges for terrestrial species, enabling populations to be sustained through source-sink dynamics, contrasting with unremitting hunting pressure on more accessible aquatic habitats. Our findings attest the high vulnerability of aquatic fauna to unregulated hunting, particularly during years of severe drought. We propose that the relative resilience of terrestrial species suggests a marked opportunity for managing, rather than criminalizing, contemporary traditional subsistence hunting in Amazonia, through both the engagement of local people in community-based comanagement programs and science-led conservation governance. C1 [Antunes, Andre P.; Rohe, Fabio] Natl Inst Amazonian Res, Dept Ecol, Manaus, Amazonas, Brazil. [Antunes, Andre P.] Wildlife Conservat Soc Brasil, Manaus, Amazonas, Brazil. [Fewster, Rachel M.] Univ Auckland, Dept Stat, Auckland, New Zealand. [Venticinque, Eduardo M.] Univ Fed Rio Grande do Norte, Dept Ecol, Natal, RN, Brazil. [Peres, Carlos A.] Univ East Anglia, Sch Environm Sci, Norwich, Norfolk, England. [Levi, Taal] Oregon State Univ, Dept Fisheries & Wildlife, Corvallis, OR 97331 USA. [Shepard, Glenn H., Jr.] Museu Paraense Emilio Goeldi, Dept Anthropol, Belem, Para, Brazil. RP Antunes, AP (reprint author), Natl Inst Amazonian Res, Dept Ecol, Manaus, Amazonas, Brazil.; Antunes, AP (reprint author), Wildlife Conservat Soc Brasil, Manaus, Amazonas, Brazil. EM aapardalis@gmail.com RI Antunes, Andre/Q-3236-2018; Shepard, Glenn/C-3667-2014 OI Antunes, Andre/0000-0003-4404-3486; Shepard, Glenn/0000-0003-3195-8230; Fewster, Rachel/0000-0002-4384-978X FU CNPq [140222/2011-1, 309458/2013-7]; FAPEAM [062.00427/2013]; CAPES [PDSE-14646/13-7] FX A.P.A. and E.M.V. thank CNPq (procs. 140222/2011-1 and 309458/2013-7), FAPEAM (proc. 062.00427/2013), and CAPES (proc. PDSE-14646/13-7) for funding support. This Ph. D. research was conducted at the National Institute of Amazonian Research (Manaus, Brazil) and at the University of Auckland (New Zealand). CR Cordoba EA, 2013, NEOTROP ICHTHYOL, V11, P637, DOI 10.1590/S1679-62252013000300017 Albert B, 2007, CURR ANTHROPOL, V48, P584, DOI 10.1086/519914 Amazonas (State), 1943, EXP AO SENH DOUT GET Antunes André Pinassi, 2014, Bol. Mus. Para. Emílio Goeldi. Ciênc. hum., V9, P487, DOI 10.1590/1981-81222014000200013 Associacao Comercial do Amazonas, 1977, B ASS COM AM Associacao Comercial do Amazonas, 1942, B ASS COM AM Associacao Comercial do Amazonas, 1944, REL DIR ASS COM AM Associacao Comercial do Amazonas (ACA), 1971, DOC COM PRIM CENT AS Ayres J.M., 1979, Acta Amazonica, V9, P287 Barthem R., 2006, FISHING FUTURE SCALE Bayley P, 1989, CAN SPEC PUBL FISH A, P385 Beck H, 2006, J MAMMAL, V87, P519, DOI 10.1644/05-MAMM-A-174R1.1 Bello C, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1501105 Benchimol M, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129818 Benchimol S., 1994, MANAOS DO AMAZONAS M BENCHIMOL Samuel, 1977, AMAZONIA POUCO ANTES Bivand RS, 2013, APPL SPATIAL DATA AN Bodmer R, 2000, BIOL RESOURCE MANAGE, P395 Bodmer RE, 1997, CONSERV BIOL, V11, P460, DOI 10.1046/j.1523-1739.1997.96022.x BODMER RE, 1991, BIOTROPICA, V23, P255, DOI 10.2307/2388202 Bush MB, 2015, J BIOGEOGR, V42, P2277, DOI 10.1111/jbi.12638 Campos CP, 2015, FISHERIES MANAG ECOL, V22, P400, DOI 10.1111/fme.12139 Carvalho J. C. M., 1967, S BIOTA AMAZONICA, V7, P1 Castello L, 2015, AQUAT CONSERV, V25, P587, DOI 10.1002/aqc.2491 Castello L, 2009, ENVIRON MANAGE, V43, P197, DOI 10.1007/s00267-008-9220-5 Ceccatto J. N., 1977, ENCONTRO NACL CONSER, P153 Cleaveland S., 2002, P139 Clement CR, 2015, P ROY SOC B-BIOL SCI, V282, P32, DOI 10.1098/rspb.2015.0813 COLE LC, 1954, Q REV BIOL, V29, P103, DOI 10.1086/400074 Constantino PAL, 2015, APPL GEOGR, V56, P222, DOI 10.1016/j.apgeog.2014.11.015 Da Silveira R, 1999, BIOL CONSERV, V88, P103, DOI 10.1016/S0006-3207(98)00084-6 Da Silveira R, 2013, AMPHIBIA-REPTILIA, V34, P437, DOI 10.1163/15685381-00002896 Danielsen F, 2005, BIODIVERS CONSERV, V14, P2507, DOI 10.1007/s10531-005-8375-0 De Souza-Mazurek RR, 2000, BIODIVERS CONSERV, V9, P579, DOI 10.1023/A:1008999201747 Dean W., 1987, BRAZIL STRUGGLE RUBB DESCOLA P, 1998, MANA, V4, P23, DOI DOI 10.1590/S0104-93131998000100002 Dirzo R, 2014, SCIENCE, V345, P401, DOI 10.1126/science.1251817 DOMNING DP, 1982, BIOL CONSERV, V22, P101, DOI 10.1016/0006-3207(82)90009-X Doughty R. W, 1971, Biol Conserv, V3, P293, DOI 10.1016/0006-3207(71)90343-0 EFRON B., 1993, INTRO BOOTSTRAP Estes JA, 2011, SCIENCE, V333, P301, DOI 10.1126/science.1205106 Fausto C, 2007, CURR ANTHROPOL, V48, P497, DOI 10.1086/518298 Fearnside PM, 2005, CONSERV BIOL, V19, P680, DOI 10.1111/j.1523-1739.2005.00697.x Fewster RM, 2000, ECOLOGY, V81, P1970, DOI 10.2307/177286 Fragoso JMV, 1998, BIOTROPICA, V30, P458, DOI 10.1111/j.1744-7429.1998.tb00080.x Fragoso JMV, 1997, MANEJO FAUNA SILVEST, P309 Fragoso JMV, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0152659 Freitas CEC, 2013, HYDROBIOLOGIA, V705, P159, DOI 10.1007/s10750-012-1394-4 GADGIL M, 1993, AMBIO, V22, P151 Hastie T. J., 1990, GEN ADDITIVE MODELS Hecht Susanna, 2010, FATE FOREST DEV DEST Hess LL, 2015, WETLANDS, V35, P745, DOI 10.1007/s13157-015-0666-y Hibert F, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025850 Hijmans RJ, 2012, RASTER GEOGRAPHIC AN IBGE, 1972, CART BRAS AO MIL IBGE, 1957, ENC MUN BRAS, VXIV ibge, 2006, EST SEC 20 Instituto Brasileiro de Geografia e Estatistica (IBGE), 1957, CENS DEM EC TERR GUA, V6 Instituto Brasileiro de Geografia e Estatistica (IBGE), 1957, CENS DEM EC EST AM, V8 Instituto Brasileiro de Geografia e Estatistica (IBGE), 2015, SER HIST Instituto Brasileiro de Geografia e Estatistica (IBGE), 1957, ENC MUN BRAS, V1 Instituto Brasileiro de Geografia e Estatistica (IBGE), 1957, CENS DEM EC TERR RIO, V9 Instituto Brasileiro de Geografia e Estatistica (IBGE), 1957, CENS DEM EC TERR ACR, V7 Jerozolimski A, 2003, BIOL CONSERV, V111, P415, DOI 10.1016/S0006-3207(02)00310-5 JOSHI NV, 1991, THEOR POPUL BIOL, V40, P211, DOI 10.1016/0040-5809(91)90053-I Kruuk H, 2006, OTTERS ECOLOGY BEHAV Levi T, 2009, J APPL ECOL, V46, P804, DOI 10.1111/j.1365-2664.2009.01661.x Lima DD, 2014, MAMMALIA, V78, P177, DOI 10.1515/mammalia-2013-0023 Loveridge Andrew J., 2010, P161 Luzar JB, 2011, BIOSCIENCE, V61, P771, DOI 10.1525/bio.2011.61.10.7 MacCreagh G, 1926, WHITE WATERS BLACK Maffei L, 2005, J TROP ECOL, V21, P349, DOI 10.1017/S0266467405002397 Maffei L, 2011, CAMERA TRAPS IN ANIMAL ECOLOGY: METHODS AND ANALYSES, P119, DOI 10.1007/978-4-431-99495-4_8 Malhi Y, 2008, SCIENCE, V319, P169, DOI 10.1126/science.1146961 Martins E. S., 1992, THESIS Mayor P, 2011, ANIM REPROD SCI, V128, P123, DOI 10.1016/j.anireprosci.2011.09.009 Mayor P, 2007, ANIM REPROD SCI, V102, P88, DOI 10.1016/j.anireprosci.2006.10.015 Mayor P, 2009, EUR J WILDLIFE RES, V55, P631, DOI 10.1007/s10344-009-0312-1 McClenachan L, 2015, BIOSCIENCE, V65, P932, DOI 10.1093/biosci/biv100 McMichael CH, 2012, SCIENCE, V336, P1429, DOI 10.1126/science.1219982 Medeiros A., 1972, COUROS PELES SILVEST Milner-Gulland EJ, 2003, TRENDS ECOL EVOL, V18, P351, DOI 10.1016/S0169-5347(03)00123-X Milner-Gulland EJ, 2001, TRENDS ECOL EVOL, V16, P686, DOI 10.1016/S0169-5347(01)02278-9 MONES A, 1986, Mammalian Species, P1, DOI 10.2307/3503784 Mourao G. M., 2000, EMBRAPA PANTANAL, V5, P1 Nepstad D, 2006, CONSERV BIOL, V20, P65, DOI 10.1111/j.1523-1739.2006.00351.x Nepstad D, 2001, FOREST ECOL MANAG, V154, P395, DOI 10.1016/S0378-1127(01)00511-4 Novaro AJ, 2000, CONSERV BIOL, V14, P713, DOI 10.1046/j.1523-1739.2000.98452.x Nunes-Pereira M., 1941, VOZ MAR B COM EXEC P, P178 Nunes-Pereira M. A., 1943, VOZ MAR B COM EXEC P, V186, P178 Oberdorff T, 2015, J APPL ICHTHYOL, V31, P4, DOI 10.1111/jai.12971 Parera A., 1996, B TEC FUND VIDA SILV, V21 Parry L, 2010, POPUL ENVIRON, V32, P137, DOI 10.1007/s11111-010-0127-8 Pauly D, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms10244 Pebesma E. J., 2005, R NEWS, V5 Pereira M. N., 1944, B MINIST AGR, V33, P21 Peres CA, 2000, CONSERV BIOL, V14, P240, DOI 10.1046/j.1523-1739.2000.98485.x Peres CA, 1996, BIOL CONSERV, V77, P115, DOI 10.1016/0006-3207(96)00010-9 Peres CA, 2001, CONSERV BIOL, V15, P1490, DOI 10.1046/j.1523-1739.2001.01089.x Peres CA, 2016, P NATL ACAD SCI USA, V113, P892, DOI 10.1073/pnas.1516525113 Petrere M, 2004, REV FISH BIOL FISHER, V14, P403, DOI 10.1007/s11160-004-8362-7 Phillips OL, 2009, SCIENCE, V323, P1344, DOI 10.1126/science.1164033 Pimm SL, 2014, SCIENCE, V344, P987, DOI 10.1126/science.1246752 QGIS Development Team, 2015, QGIS GEOGR INF SYST R Development Core Team, 2010, R LANG ENV STAT COMP Read JM, 2010, J LAT AM GEOGR, V9, P213, DOI 10.1353/lag.2010.0030 Uscamaita MR, 2010, ORYX, V44, P83, DOI 10.1017/S0030605309990196 REDFORD KH, 1992, BIOSCIENCE, V42, P412, DOI 10.2307/1311860 Vieira MARD, 2015, CONSERV SOC, V13, P254, DOI 10.4103/0972-4923.170399 REIS Arthur Cezar Ferreira, 1953, SERINGAL SERINGUEIRO Renoux F., 2016, ETHNOBIO CONSERV, V5 Rheingantz M. L., 2015, LONTRA LONGICAUDIS Ripple WJ, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400103 Ripple WJ, 2014, SCIENCE, V343, P151, DOI 10.1126/science.1241484 Robinson J.G., 1991, P415 Robinson J. G., 2000, HUNTING SUSTAINABILI Robinson JG, 2000, BIOL RESOURCE MANAGE, P521 ROBINSON JG, 1986, OECOLOGIA, V68, P516, DOI 10.1007/BF00378765 Rodrigues FR, 2008, ANAT REC, V291, P557, DOI 10.1002/ar.20688 Santos R., 1980, HIST EC AMAZONIA 180 Shepard GH, 2012, AM ANTHROPOL, V114, P652, DOI 10.1111/j.1548-1433.2012.01514.x Shepard Jr G. H., 2014, ENCY HIST SCI TECHNO Silman MR, 2003, ECOLOGY, V84, P431, DOI 10.1890/0012-9658(2003)084[0431:PROADR]2.0.CO;2 Siren A, 2004, CONSERV BIOL, V18, P1315, DOI 10.1111/j.1523-1739.2004.00024.x Smith N.J.H., 1976, Oryx, V13, P362 SMITH N J H, 1976, Acta Amazonica, V6, P455 SMITH NJH, 1979, BIOL CONSERV, V16, P165, DOI 10.1016/0006-3207(79)90019-3 SMITH NJH, 1981, BIOL CONSERV, V19, P177, DOI 10.1016/0006-3207(81)90033-1 Solari J., 1971, REV REAL, V67, P157 Solorio M., 2010, THESIS Sorribas MV, 2016, CLIMATIC CHANGE, V136, P555, DOI 10.1007/s10584-016-1640-2 Souza D. M. X. B, 2015, THESIS Staib E., 2005, THESIS Stevens A. W., 1926, NATL GEOGR MAG, V49, P353 Stokstad E, 2014, SCIENCE, V345, P397 Terborgh J, 2008, ECOLOGY, V89, P1757, DOI 10.1890/07-0479.1 Thorbjarnarson J. B., 2010, CROCODILES STATUS SU, V3, P29 Tollefson J, 2013, NATURE, V502, P160, DOI 10.1038/502160a US Inflation Calculator, 2016, CONS PRIC IND DAT 19 van Vliet N., 2015, 14 WORLD FOR C DURB VERISSIMO Jose, 1895, PESCA NA AMAZONIA Weigl Richard, 2014, IZN International Zoo News, V61, P363 Wilkie DS, 2011, ANN NY ACAD SCI, V1223, P120, DOI 10.1111/j.1749-6632.2010.05908.x Wright SJ, 2003, PERSPECT PLANT ECOL, V6, P73, DOI 10.1078/1433-8319-00043 Yu DW, 2010, BIOTROPICA, V42, P569, DOI 10.1111/j.1744-7429.2010.00680.x NR 145 TC 16 Z9 19 U1 6 U2 40 PU AMER ASSOC ADVANCEMENT SCIENCE PI WASHINGTON PA 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA SN 2375-2548 J9 SCI ADV JI Sci. Adv. PD OCT PY 2016 VL 2 IS 10 AR UNSP e1600936 DI 10.1126/sciadv.1600936 PG 14 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA EC2YV UT WOS:000387991500025 PM 27757421 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Procter, AC Kaplan, PO Araujo, R AF Procter, Andrew C. Kaplan, P. Ozge Araujo, Rochelle TI Net Zero Fort Carson SO JOURNAL OF INDUSTRIAL ECOLOGY LA English DT Article DE industrial ecology; military; renewable energy; system dynamics; urban metabolism; water recycling ID SOLID-WASTE GENERATION; URBAN METABOLISM; CITIES; SUSTAINABILITY; INDICATORS AB Military bases resemble small cities and face similar sustainability challenges. As pilot studies in the U.S. Army Net Zero program, 17 locations are moving to 100% renewable energy, zero depletion of water resources, and/or zero waste to landfill by 2020. Some bases target net zero in a single area, such as water, whereas two bases, including Fort Carson, Colorado, target net zero in all three areas. We investigated sustainability strategies that appear when multiple areas (energy, water, and waste) are integrated. A system dynamics model is used to simulate urban metabolism through Fort Carson's energy, water, and waste systems. Integrated scenarios reduce environmental impact up to 46% from the 2010 baseline, whereas single-dimension scenarios (energy-only, water-only, and waste-only) reduce impact, at most, 20%. Energy conserving technologies offer mutual gains, reducing annual energy use 18% and water use 15%. Renewable energy sources present trade-offs: Concentrating solar power could supply 11% of energy demand, but increase water demand 2%. Waste to energy could supply 40% of energy demand and reduce waste to landfill >80%, but increase water demand between 1% and 22% depending on cooling system and waste tonnage. Outcomes depend on how the Fort Carson system is defined, because some components represent multiple net zero areas (food represents waste and energy), and some actions require embodied resources (energy generation potentially requires water and off-base feedstock). We suggest that integrating multiple net zero goals can lead to lower environmental impact for military bases. C1 [Procter, Andrew C.] US EPA, 109 TW Alexander Dr, Res Triangle Pk, NC 27711 USA. [Kaplan, P. Ozge] US EPA, Natl Risk Management Res Lab, Res Triangle Pk, NC USA. [Araujo, Rochelle] US EPA, Natl Exposure Res Lab, Res Triangle Pk, NC USA. RP Procter, AC (reprint author), US EPA, 109 TW Alexander Dr, Res Triangle Pk, NC 27711 USA. EM acprocter@gmail.com CR Anderson K., 2011, TARGETING NET ZERO E Anderson K., 2012, TARGETING NET ZERO E [Anonymous], 2009, 13514 WHIT HOUS [Anonymous], 2008, CONC VIRT WAT CRIT R Arnold D., 2009, ARCHITECTS J Brenhouse H., 2010, NY TIMES Bristow DN, 2013, J IND ECOL, V17, P656, DOI 10.1111/jiec.12038 Burr C., 2012, U DENT WATER L REV, V15, P275 Chenoweth J, 2008, DESALINATION, V229, P245, DOI 10.1016/j.desal.2007.09.011 DoD (U.S. Department of Defense), 2012, DEP DEF ANN EN MAN R DoD (U.S. Department of Defense), 2010, BAS STRUCT REP FISC Duran-Encalada J, 2009, SYST PRACT ACT RES, V22, P77, DOI 10.1007/s11213-008-9114-8 Duret D., 2012, PALM BEACH POST 1026 Dyson B, 2005, WASTE MANAGE, V25, P669, DOI 10.1016/j.wasman.2004.10.005 Eady DS, 2009, SUSTAIN MISSION PROJ Fiksel J., 2013, CLEAN TECHNOL ENVIR, V16, P691 Folke C, 1997, AMBIO, V26, P167 Forrester JW, 1961, IND DYNAMICS Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195 Heidrich ES, 2011, ENVIRON SCI TECHNOL, V45, P827, DOI 10.1021/es103058w HOCKETT D, 1995, J ENVIRON MANAGE, V45, P205, DOI 10.1006/jema.1995.0069 Hoekstra A., 2004, WATER FOOTPRINTS NAT IEA (International EnergyAgency), 2014, EL POW CONS KWH PER Joss S., 2011, INT J SUST DEV WORLD, V6, P268, DOI DOI 10.2495/SDP-V6-N3-268-285 Kaufman Rachael, 2012, NATL GEOGRAPHIC NEWS Kennedy C, 2012, SUSTAINABILITY SCI E Kennedy C, 2007, J IND ECOL, V11, P43, DOI 10.1162/jie.2007.1107 Macknick J, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/045803 McMordie Stoughton K., 2012, FORT CARSON NET ZERO NDCEE (National Defense Center for Energy and Environment), 2012, NET ZER WAST MAT FLO NREL (National Renewable Energy Laboratory), 2011, REV OP WAT CONS WITH Pataki DE, 2011, FRONT ECOL ENVIRON, V9, P27, DOI 10.1890/090220 Pikes Peak Area Council of Governments, 2012, LOOK OUR FUT PIK PEA Pincetl S, 2012, LANDSCAPE URBAN PLAN, V107, P193, DOI 10.1016/j.landurbplan.2012.06.006 PNNL (Pacific Northwest National Laboratory), 2013, ARM NET ZER WAT BAL Portland, 2010, CLIM ACT PLAN 2009 Y Pruitt L., 2012, 2030 PROJECT DEV FOR Reiche D, 2010, ENERG POLICY, V38, P378, DOI 10.1016/j.enpol.2009.09.028 Schmid F, 2009, SEWAGE WATER INTERES Shizas I, 2004, J ENERG ENG-ASCE, V130, P45, DOI 10.1061/(ASCE)0733-9453(2004)130:2(45) Siebert S, 2010, J HYDROL, V384, P198, DOI 10.1016/j.jhydrol.2009.07.031 Sikdar SK, 2009, CLEAN TECHNOL ENVIR, V11, P157, DOI 10.1007/s10098-009-0225-4 Sterman JD, 2000, BUSINESS DYNAMICS SY Sterman J, 2012, SYST DYNAM REV, V28, P295, DOI 10.1002/sdr.1474 Stone D., 2012, NATL GEOGRAPHIC Tharion WJ, 2005, APPETITE, V44, P47, DOI 10.1016/j.appet.2003.11.010 Tran LT, 2006, LANDSCAPE ECOL, V21, P469, DOI 10.1007/s10980-005-5324-y U.S. Army, 2013, NET ZER PROGR REP NE U.S. Army, 2012, ARM SUST REP 2012 U.S. Army, 2012, FORT CARS NET ZER WA UNEP, 2013, CIT LEV DEC URB RES US EIA (U.S. Energy Information Administration), 2013, STAT FACT SHEETS HOU US EIA (U.S. Energy Information Administration), 2012, TABL C13 EN CONS PER US EPA, 2012, MUN SOL WAST GEN REC Valkenburg C., 2008, MUNICIPAL SOLID WAST, V1 Van Rooijen D, 2009, 8 WORLD WID WORKSH Y White House, 2007, 13423 WHIT HOUS Wichelns D, 2010, WATER RESOUR MANAG, V24, P2203, DOI 10.1007/s11269-009-9547-6 Wilson A., 2013, ENERGY SOLUTIONS World Bank, 2011, WORLD DEVELOPMENT REPORT 2011: CONFLICT, SECURITY AND DEVELOPMENT, P1, DOI 10.1596/978-0-8213-8439-8 World Bank, 2012, WHAT WASTE GLOBAL RE NR 61 TC 2 Z9 2 U1 2 U2 11 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1088-1980 EI 1530-9290 J9 J IND ECOL JI J. Ind. Ecol. PD OCT PY 2016 VL 20 IS 5 BP 1134 EP 1147 DI 10.1111/jiec.12359 PG 14 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA EB4FY UT WOS:000387326900013 DA 2019-04-09 ER PT J AU Vallejo, MI Galeano, G Valderrama, N Bernal, R AF Vallejo, Martha I. Galeano, Gloria Valderrama, Natalia Bernal, Rodrigo TI Consumers, the market and the socio-ecological background of Euterpe oleracea palm heart production in Colombia SO BOTANICAL JOURNAL OF THE LINNEAN SOCIETY LA English DT Article; Proceedings Paper CT World Palms Sympsoium CY 2015 CL Quindio, COLOMBIA DE non-timber forest product market; palm products; responsible consumption; sustainability ID FOREST; TRADE AB We describe and discuss palm heart production from wild Euterpe oleracea in Colombia and analyse the social, ecological and trade aspects determining its sustainability. Palm heart is harvested on communal lands by Afro-descendants, who receive US$0.1 per stem. To obtain an income corresponding to a minimum wage, a harvester would have to fell 167 stems per day, i.e. one palm stem every 3 min non-stop over 8 h of work. The pressure of this system leads to over-exploitation of the palm stands, causing local exhaustion of the resource, thus depriving communities of the palm fruit, a vital component of their diet. We evaluated in two harvest scenarios on non-harvested palm populations (annual harvest of either 75 or 50% of the stems), the availability of palm hearts, the number of harvesters per hectare and their net income. We also considered the possibility of doubling or tripling the income of primary producers without affecting the palm stands or increasing the harvesters' effort. The low market retail price of the final product precludes an improvement in the pay of harvesters or their work conditions. Today many consumers would pay a higher price if it were clear that the product they buy is being produced in a way that is environmentally friendly and socially fair. This information should be provided on the product label and it should be part of communication and education strategies. An alliance of supermarket chains and non-governmental organizations could positively influence attitudes toward the value of this product and help to make consumers aware of their responsibility regarding the fate of the palm and the fairness of its harvest. (C) 2016 The Linnean Society of London. C1 [Vallejo, Martha I.; Galeano, Gloria; Bernal, Rodrigo] Univ Nacl Colombia, Inst Ciencias Nat, Bogota, Colombia. [Valderrama, Natalia] Inst Alexander von Humboldt, Bogota, Colombia. RP Vallejo, MI (reprint author), Univ Nacl Colombia, Inst Ciencias Nat, Bogota, Colombia. EM mivallejoj@unal.edu.co CR [Anonymous], 2009, CTR INFORM INTELIGEN Belcher B, 2005, WORLD DEV, V33, P1435, DOI 10.1016/j.worlddev.2004.10.007 Bernal R, 2013, PALMS DELIVERABLE 13 Bernal R, 2011, BOT REV, V77, P607, DOI 10.1007/s12229-011-9088-6 Bernard HR., 2006, RES METHODS ANTHR QU Branco MC, 2006, J BUS ETHICS, V69, P111, DOI 10.1007/s10551-006-9071-z Brokamp G., 2010, Ecologia en Bolivia, V45, P69 Brokamp G, 2011, BOT REV, V77, P571, DOI 10.1007/s12229-011-9087-7 Caswell H, 2001, MATRIX POPULATION MO Clement C. R., 1993, New crops. Proceedings of the Second National Symposium: New crops, exploration, research and commercialization, Indianapolis, Indiana, October 6-9, 1991., P465 Clement C. R., 2005, Agrociencia (Montevideo), V9, P67 Codron JM, 2006, AGR HUM VALUES, V23, P283, DOI 10.1007/s10460-006-9000-x DANE, 2013, ENC NAC CAL VID FAO-Food and Agricultural Organization, 2013, NONT FOR PROD Galetti M, 1998, J APPL ECOL, V35, P294, DOI 10.1046/j.1365-2664.1998.00295.x Gereffi G, 1999, J INT ECON, V48, P37, DOI 10.1016/S0022-1996(98)00075-0 Gerique A, 2006, ADV SCI TRAINING HARDIN G, 1968, SCIENCE, V162, P1243 IBCE-Instituto Boliviano de Comercio Exterior, 2010, PERF MERC PALM MARZ Vallejo MI, 2014, FOREST ECOL MANAG, V318, P274, DOI 10.1016/j.foreco.2014.01.028 ITC-International Trade Centre, 2013, TRAD MAP Lopez C, 2004, RICHES FOREST FRUITS Molnar A., 2003, FOREST CERTIFICATION Nelson V, 2002, INT FOREST REV, V4, P99, DOI 10.1505/IFOR.4.2.99.17440 Peters CM, 1996, 322 WORLD BANK Pierce A, 2003, INT C RUR LIV FOR BI Shanley P., 2002, TAPPING GREEN MARKET Silva da D, 2007, REV TECNOLOGICA, V16, P75 Simon-Brown V., 2004, J EXTENSION, V42, P1 Stoian D., 2004, PRODUCTOS FORESTALES, P111 Valderrama N, 2011, THESIS Vallejo Martha Isabel, 2011, Colomb. for., V14, P191 Vallejo MI, 2013, COSECHAR SIN DESTRUI, P144 Vargas J, 2006, GER001 NAC UN NR 34 TC 2 Z9 2 U1 1 U2 9 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0024-4074 EI 1095-8339 J9 BOT J LINN SOC JI Bot. J. Linnean Soc. PD OCT PY 2016 VL 182 IS 2 SI SI BP 526 EP 535 DI 10.1111/boj.12451 PG 10 WC Plant Sciences SC Plant Sciences GA DZ3LL UT WOS:000385748500024 OA Bronze DA 2019-04-09 ER PT J AU van Zanten, BT Verburg, PH Scholte, SSK Tieskens, KF AF van Zanten, Boris T. Verburg, Peter H. Scholte, S. S. K. Tieskens, K. F. TI Using choice modeling to map aesthetic values at a landscape scale: Lessons from a Dutch case study SO ECOLOGICAL ECONOMICS LA English DT Article DE Ecosystem services; Mapping; Landscape values; Landscape aesthetics; Choice modeling; Landscape preferences ID ECOSYSTEM SERVICES; RURAL LANDSCAPES; DECISION-MAKING; PREFERENCES; INDICATORS; POLICY; VALUATION; KNOWLEDGE; FRAMEWORK; FLANDERS AB Quantifying and mapping ecosystem services is increasingly employed to guide policies in their search for environmental sustainability. In this study, we present a method for mapping aesthetic values as an ecosystem service, combining insights from landscape research and ecosystem service mapping practices. We review or method through a comparison to existing aesthetic value mapping approaches and verify the results through a comparison to a revealed landscape preferences indicator. Disagreenient between the methods arises from many factors, including the type of ecological/landscape features that are assumed to contribute to the provision of aesthetic values, the use of context-specific or generic aesthetic value estimates, the scale of landscape evaluation and the level of integration of the landscape preference analysis. We argue that the approach presented here is a suitable generically applicable methodology for context-sensitive mapping of aesthetic landscape values for a number of reasons: (i) a careful and transparent selection process of landscape attributes, (ii) the use of primary preference data, (iii) an integrated evaluation of landscape attributes introducing trade-offs between specific features in the agricultural landscape and (iv) application of visual landscape scale manipulated photographs for the elicitation of preferences as a surrogate for a real landscape experience. (C) 2016 Elsevier B.V. All rights reserved. C1 [van Zanten, Boris T.; Verburg, Peter H.; Scholte, S. S. K.; Tieskens, K. F.] Vrije Univ Amsterdam, Environm Geog Grp, De Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands. RP van Zanten, BT (reprint author), Vrije Univ Amsterdam, Environm Geog Grp, De Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands. EM boris.zanten@vu.nl RI Verburg, Peter/A-8469-2010 OI Verburg, Peter/0000-0002-6977-7104; Tieskens, Koen/0000-0003-2577-331X FU European Commission 7th Framework Programme through the project CLAIM (Supporting the role of the Common agricultural policy in Landscape Valorisation: Improving the knowledge base of the contribution of landscape Management to the rural economy); European Commission 7th Framework Programme through the project OPERAs (Operational Potential of Ecosystem Research Applications) FX The authors acknowledge funding from the European Commission, 7th Framework Programme through the projects CLAIM (Supporting the role of the Common agricultural policy in Landscape Valorisation: Improving the knowledge base of the contribution of landscape Management to the rural economy, www.claimproject.eu) and OPERAs (Operational Potential of Ecosystem Research Applications, www.operas-project.eu). CR Alessa L, 2008, LANDSCAPE URBAN PLAN, V85, P27, DOI 10.1016/j.landurbplan.2007.09.007 Alterra Wageningen UR, 2006, VIS RUIMT INF VIRIS Andersson E., 2015, ECOSYSTEM SERVICES [Anonymous], 2013, TOPIONL Antrop M, 2000, AGR ECOSYST ENVIRON, V77, P17, DOI 10.1016/S0167-8809(99)00089-4 Appleton K, 2003, LANDSCAPE URBAN PLAN, V65, P117, DOI 10.1016/S0169-2046(02)00245-1 Arnberger A, 2011, LANDSCAPE RES, V36, P19, DOI 10.1080/01426397.2010.536204 Backlund A., 2011, RES REPORTS HUMAN GE Blamey RK, 2002, ENVIRON RESOUR ECON, V23, P167, DOI 10.1023/A:1021202425295 Borresch R., 2009, MODELLING VALUE MULT Brown G., 2015, ECOSYST SERV, P1 Burkhard B., 2009, LANDSC ONLINE, V15, P1, DOI DOI 10.3097/L0.200915 Casado-Arzuaga I, 2014, LANDSCAPE ECOL, V29, P1393, DOI 10.1007/s10980-013-9945-2 Casalegno S, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0068437 Chan KMA, 2012, BIOSCIENCE, V62, P744, DOI 10.1525/bio.2012.62.8.7 Crossman ND, 2013, ECOSYST SERV, V4, P4, DOI 10.1016/j.ecoser.2013.02.001 Dachary-Bernard J, 2012, LAND USE POLICY, V29, P846, DOI 10.1016/j.landusepol.2012.01.002 Daniel T.C., 1976, MEASURING LANDSCAPE Daniel TC, 2001, LANDSCAPE URBAN PLAN, V54, P267, DOI 10.1016/S0169-2046(01)00141-4 Daniel TC, 2012, P NATL ACAD SCI USA, V109, P8812, DOI 10.1073/pnas.1114773109 Dramstad WE, 2006, LANDSCAPE URBAN PLAN, V78, P465, DOI 10.1016/j.landurbplan.2005.12.006 EAA (European Environment Agency), 2012, CORINE LAND COV 2006 EEA, 2012, CORINE LAND COV 2006 Eigenbrod F, 2010, J APPL ECOL, V47, P377, DOI 10.1111/j.1365-2664.2010.01777.x Fagerholm N, 2012, ECOL INDIC, V18, P421, DOI 10.1016/j.ecolind.2011.12.004 Geijzendorffer IR, 2014, ECOSYST SERV, V10, P49, DOI 10.1016/j.ecoser.2014.09.002 Grammatikopoulou I, 2012, LANDSCAPE URBAN PLAN, V107, P181, DOI 10.1016/j.landurbplan.2012.06.001 Gret-regamey A., 2014, ECOSYST SERV, P1 Hanley N, 1998, ENVIRON RESOUR ECON, V11, P413, DOI 10.1023/A:1008287310583 Howley P, 2011, ECOL ECON, V72, P161, DOI 10.1016/j.ecolecon.2011.09.026 Hoyos D, 2010, ECOL ECON, V69, P1595, DOI 10.1016/j.ecolecon.2010.04.011 HULL RB, 1992, J ENVIRON PSYCHOL, V12, P101, DOI 10.1016/S0272-4944(05)80063-5 Hynes S, 2011, J ENVIRON PLANN MAN, V54, P1019, DOI 10.1080/09640568.2010.547691 Jacobs S, 2015, ECOL MODEL, V295, P21, DOI 10.1016/j.ecolmodel.2014.08.024 Jose Martinez-Harms Maria, 2012, International Journal of Biodiversity Science Ecosystem Services & Management, V8, P17, DOI 10.1080/21513732.2012.663792 Keeler BL, 2015, FRONT ECOL ENVIRON, V13, P76, DOI 10.1890/140124 Kienast F, 2009, ENVIRON MANAGE, V44, P1099, DOI 10.1007/s00267-009-9384-7 Korevaar H., 2008, KWALITEIT LANDELIJK Liekens I, 2013, LAND USE POLICY, V30, P549, DOI 10.1016/j.landusepol.2012.04.008 Louviere J. J., 2003, STATED CHOICE METHOD McFadden D, 1974, FRONTIERS ECONOMETRI, P105, DOI DOI 10.1108/EB028592 McPhearson T, 2013, ECOSYST SERV, V5, pE11, DOI 10.1016/j.ecoser.2013.06.005 Naeff H.S.D., 2011, GEACTUALISEERD GIAB Nahuelhual L, 2013, APPL GEOGR, V40, P71, DOI 10.1016/j.apgeog.2012.12.004 Ode A, 2009, J ENVIRON MANAGE, V90, P375, DOI 10.1016/j.jenvman.2007.10.013 Plieninger T, 2015, ECOL SOC, V20, DOI 10.5751/ES-07443-200205 Plieninger T, 2013, LAND USE POLICY, V33, P118, DOI 10.1016/j.landusepol.2012.12.013 Plieninger T, 2012, CONSERV LETT, V5, P281, DOI 10.1111/j.1755-263X.2012.00240.x Rambonilaza M, 2007, LANDSCAPE URBAN PLAN, V83, P318, DOI 10.1016/j.landurbplan.2007.05.013 Rehr AP, 2014, MAR POLICY, V46, P14, DOI 10.1016/j.marpol.2013.12.012 Rogge E, 2007, LANDSCAPE URBAN PLAN, V82, P159, DOI 10.1016/j.landurbplan.2007.02.006 Schirpke U, 2013, LANDSCAPE URBAN PLAN, V111, P1, DOI 10.1016/j.landurbplan.2012.11.010 Schulp CJE, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0109643 Scott MJ, 1997, J ENVIRON PSYCHOL, V17, P263, DOI 10.1006/jevp.1997.0068 Sevenant M, 2010, LAND USE POLICY, V27, P827, DOI 10.1016/j.landusepol.2009.11.002 Smith JW, 2015, INT J ENV RES PUB HE, V12, P11486, DOI 10.3390/ijerph120911486 Tveit M, 2006, LANDSCAPE RES, V31, P229, DOI 10.1080/01426390600783269 van Berkel DB, 2014, ECOL INDIC, V37, P163, DOI 10.1016/j.ecolind.2012.06.025 Van Berkel DB, 2012, LANDSCAPE ECOL, V27, P641, DOI 10.1007/s10980-012-9730-7 van Zanten BT, 2014, LANDSCAPE URBAN PLAN, V132, P89, DOI 10.1016/j.landurbplan.2014.08.012 van Zanten BT, 2014, AGRON SUSTAIN DEV, V34, P309, DOI 10.1007/s13593-013-0183-4 Vecchiato D, 2013, FOREST POLICY ECON, V26, P111, DOI 10.1016/j.forpol.2012.10.001 Wildenbeest G., 1989, DUTCH DILEMNIAS ANTH Wood SA, 2013, SCI REP-UK, V3, DOI 10.1038/srep02976 Zhu X, 2010, ENVIRON MANAGE, V45, P896, DOI 10.1007/s00267-010-9462-x NR 65 TC 10 Z9 10 U1 1 U2 36 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-8009 EI 1873-6106 J9 ECOL ECON JI Ecol. Econ. PD OCT PY 2016 VL 130 BP 221 EP 231 DI 10.1016/j.ecolecon.2016.07.008 PG 11 WC Ecology; Economics; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology; Business & Economics GA DW8ZU UT WOS:000383944800021 DA 2019-04-09 ER PT J AU Pritchard, JA Preston, JM AF Pritchard, James A. Preston, John M. TI Sustainable railways: trade-offs between operational and embedded energy SO PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-TRANSPORT LA English DT Article; Proceedings Paper CT 4th Annual Conference of the Rail-Research-UK-Association (RRUKA) CY NOV, 2015 CL London, ENGLAND SP Rail Res UK Assoc DE energy; railway tracks; sustainability AB When considering the energy consumption and associated greenhouse gas emissions of a railway, it is important to account for both operational aspects (primarily running of the trains) and non-operational aspects, including energy and emissions embedded in infrastructure. The latter are heavily dependent on civil engineering structures such as tunnels, bridges and viaducts, as well as earthworks needed to provide route alignment. In some cases this can lead to a conflict between infrastructure design that has operational benefits and that which reduces embedded impact. This paper introduces the idea that there might be trade-offs between embedded and operational energy and emissions. A mixture of empirical and simulation data is used, and tunnels are used as a specific case study. The results are discussed in the context of wider sustainability issues. C1 [Pritchard, James A.; Preston, John M.] Univ Southampton, Transportat Res Grp, Southampton, Hants, England. RP Pritchard, JA (reprint author), Univ Southampton, Transportat Res Grp, Southampton, Hants, England. EM j.a.pritchard@soton.ac.uk CR Ademe SNCF and RFF, 2009, 1 BIL CARB GLOB RAIL Arup, 2015, ROUT MAST Arup, 2009, IN REP LIT SEARCH KN Baron T., 2011, CARBON FOOTPRINT HIG Ceney H, 2005, BRITPAVE BALLAST SLA Ceney H, SELECTION TRACK FORM Chester MV, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/2/024008 DECC (Department of Energy and Climate Change), 2012, FUEL MIX DISCL TABL Defra (Department for Environment Food and Rural Affairs), 2013, 2013 CHG CONV FACT Hammond G, 2011, INVENTORY CARBON ENE HMG, 2011, CARB PLAN DEL OUR LO HS2 Ltd Imperial College London, 2009, HS2 TRACT EN MOD Network Rail, 2009, COMP ENV IMP CONV HI Pritchard J, 2015, THESIS Rail. One GmbH, 2011, RHED 2000 BALL TRACK Rochard BP, 2000, P I MECH ENG F-J RAI, V214, P185, DOI 10.1243/0954409001531306 RSSB (Rail Safety and Standards Board), 2010, QUANT BEN TRAIN MASS Soga K, 2004, EMBODIED ENERGY TUNN Stimpson J, 2011, NEW CIVIL ENG 0811 NR 19 TC 1 Z9 1 U1 1 U2 4 PU ICE PUBLISHING PI WESTMINISTER PA INST CIVIL ENGINEERS, 1 GREAT GEORGE ST, WESTMINISTER SW 1P 3AA, ENGLAND SN 0965-092X J9 P I CIVIL ENG-TRANSP JI Proc. Inst. Civil Eng.-Transp. PD OCT PY 2016 VL 169 IS 5 BP 298 EP 307 DI 10.1680/jtran.16.00022 PG 10 WC Engineering, Civil; Transportation Science & Technology SC Engineering; Transportation GA DX2PJ UT WOS:000384212500006 DA 2019-04-09 ER PT J AU Nijnik, M Nijnik, A Brown, I AF Nijnik, Maria Nijnik, Albert Brown, Iain TI Exploring the linkages between multifunctional forestry goals and the legacy of spruce plantations in Scotland SO CANADIAN JOURNAL OF FOREST RESEARCH LA English DT Article; Proceedings Paper CT IUFRO Spruce Joint International Conference on Ecology, Silviculture, and Management of Spruce Species in Mixed Forests CY AUG 11-13, 2015 CL Univ Alberta, Edmonton, CANADA SP Int Union Forest Res Org, Working Grp 1 01 08 Ecol & Silviculture Spruce, Int Union Forest Res Org, Div 8 Forest Environm, Govt Alberta, Univ Alberta, Fac Agr, Life & Environm Sci, Alberta Forest Prod Assoc, Coll Alberta Profess Foresters, EUMIXFOR Cost Act HO Univ Alberta DE ecosystem services; woodlands; stakeholders; attitudinal diversity; Q method ID LAND-USE; Q METHODOLOGY; SUSTAINABILITY; DEMANDS AB This paper explores the ecosystem services associated with woodlands, as they are viewed by individuals in Scotland, with the idea to reconcile objectives for multifunctionality with the legacy of past forestry systems that were not designed with multifunctionality in mind. Research follows a semi-qualitative route and applies the Q method to identify and explain a range of attitudes among the general public and forestry-associated stakeholders regarding the functional future of forestry in Scotland. Four distinctive groups of attitudes were identified and key factors influencing the attitudinal diversity were explained. Despite the uncovered attitudinal heterogeneity, all groups of attitudes have strong emphasis on native woodland regeneration and on improvement of aesthetic values of woodlands but differ concerning afforestation. An improved understanding of what people think provided an indication of their recognition of ecosystem services types and the trade-offs between these, opportunities available, and factors that can hamper forestry development (e.g., concerning the aspiration of increasing Scotland's forest cover to 25%). Findings suggest that the productivists' position (for which the economic objectives are important) remains strong in Scotland. Results (compared with those in several other countries) demonstrate comparability between public and stakeholder perspectives in support of the multifunctional forestry, and this has distinct policy relevance and implications for decision-making. C1 [Nijnik, Maria; Brown, Iain] James Hutton Inst, Aberdeen AB15 8QH, Scotland. [Nijnik, Albert] Environm Network Ltd, Aboyne, Scotland. RP Nijnik, M (reprint author), James Hutton Inst, Aberdeen AB15 8QH, Scotland. EM maria.nijnik@hutton.ac.uk RI Brown, Iain/M-7580-2017 OI Brown, Iain/0000-0002-3469-5598; Nijnik, Maria/0000-0003-0280-9543 CR Addams H., 2001, SOCIAL DISCOURSE ENV Barry J, 1999, ECOL ECON, V28, P337, DOI 10.1016/S0921-8009(98)00053-6 Brown SR, 1996, QUAL HEALTH RES, V6, P561, DOI 10.1177/104973239600600408 Dana S.T, 1943, J FOREST, V41, P625 Forestry Commission (FC), 2010, FOR FACTS FIG Fowler F., 2002, SURVEY RES METHOD Kant S, 2003, FOREST POLICY ECON, V5, P39, DOI 10.1016/S1389-9341(02)00045-X Lister-Kaye J., 1995, OUR PINEWOOD HERITAG, P60 Mather A., 2003, PEOPLE WOODS SCOTLAN Mather AS, 2006, J RURAL STUD, V22, P441, DOI 10.1016/j.jrurstud.2006.01.004 MEA, 2005, MILL EC ASS SYNTH RE Miller D., 2006, PROJECT REPORT Miller D.R., 2009, PLAN SUPPORT SYSTEMS Munoz-Rojas J, 2015, FOREST POLICY ECON, V57, P47, DOI 10.1016/j.forpol.2015.05.002 Nijnik M., 2008, NATURE CONSERVATION, P112 Nijnik M., 2006, SUSTAINABLE FORESTRY, P171 Nijnik M., 2010, FOR TREES LIVELIHOOD, V19, P341, DOI [10.1080/14728028.2010.9752677, DOI 10.1080/14728028.2010.9752677] Nijnik M, 2009, LAND USE POLICY, V26, P77, DOI 10.1016/j.landusepol.2008.03.001 Nijnik M, 2008, LANDSCAPE URBAN PLAN, V86, P267, DOI 10.1016/j.landurbplan.2008.03.007 Nijnik M, 2013, FOREST POLICY ECON, V26, P34, DOI 10.1016/j.forpol.2012.10.002 Pearson P., 1994, ENERGY STUDIES REV, V6, P199 Sarkki S, 2016, REG ENVIRON CHANGE, V16, P2019, DOI 10.1007/s10113-015-0812-3 Schmithusen F., 2007, Journal of Forest Science (Prague), V53, P290 Scottish Government, 2011, GETT BEST OUR LAND L Scottish Government, 2015, GETT BEST OUR LAND L Sedjo R.A., 2005, RESOURCES, V155, P9 Shobayashi M., 2001, MULTIFUNCTIONALITY A Slee B, 2014, LAND USE POLICY, V41, P206, DOI 10.1016/j.landusepol.2014.06.002 Slee B, 2012, INT J ENVIRON SUSTAI, V11, P274, DOI 10.1504/IJESD.2012.050463 Smout T.C., 2005, HIST NATIVE WOODLAND, P1500 STEPHENSON W, 1978, COMMUNICATION, V3, P21 Thomas HJD, 2015, FOREST ECOL MANAG, V349, P149, DOI 10.1016/j.foreco.2015.04.003 United Nations Conference on Environment and Development (UNCED), 1992, AG 21 1 Van Asselt B.A., 2001, BUILDING BLOCKS PART Van der Valk A.J.J., 2010, LANDSCAPE HERITAGE S VINCENT JR, 1993, LAND ECON, V69, P370, DOI 10.2307/3146454 Warren C., 2002, MANAGING SCOTLANDS E WIERSUM KF, 1995, ENVIRON MANAGE, V19, P321, DOI 10.1007/BF02471975 NR 38 TC 6 Z9 6 U1 0 U2 17 PU CANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS PI OTTAWA PA 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA SN 0045-5067 EI 1208-6037 J9 CAN J FOREST RES JI Can. J. For. Res. PD OCT PY 2016 VL 46 IS 10 BP 1247 EP 1254 DI 10.1139/cjfr-2015-0399 PG 8 WC Forestry SC Forestry GA DW6SJ UT WOS:000383781200008 DA 2019-04-09 ER PT J AU Huang, K Rammohan, AV Kureemun, U Teo, WS Tran, LQN Lee, HP AF Huang, Kede Rammohan, Abhishek Vishwanath Kureemun, Umeyr Teo, Wern Sze Le Quan Ngoc Tran Lee, Heow Pueh TI Shock wave impact behavior of flax fiber reinforced polymer composites SO COMPOSITES PART B-ENGINEERING LA English DT Article DE Polymer-matrix composites (PMCs); Impact behavior; Damage mechanics; Mechanical testing ID FRP COMPOSITES; E-GLASS; CONCRETE AB Natural fibre based composites are garnering attention owing to their optimal trade-off between mechanical properties and environmental sustainability properties. It has been proposed that they could potentially replace synthetic and mineral fibre composites due to their minimized impact on human health and the natural environment. Though several studies have been dedicated to understanding certain mechanical properties like strength and fatigue life, fewer reported studies have focused on their response to impact or shock loads. In the present work, we have performed shock tests using a shock tube on flax/epoxy and flax/polypropylene unidirectional and cross-ply laminated composites. The objectives are, to compare the blast-resistance of polypropylene against epoxy in their use as matrix in flax reinforced composites, and, secondly to assess the performance of cross-ply over unidirectional fiber orientation. The present results showed that the cross-ply samples retained their structural integrity at peak pressures that were sufficient to break unidirectional samples, indicating that cross-ply samples are superior candidates for applications where shock loading needs to be factored in. Furthermore, we also qualitatively assessed the failure modes predominant in each of the studied orientations. (C) 2016 The Authors. Published by Elsevier Ltd. C1 [Huang, Kede; Rammohan, Abhishek Vishwanath; Kureemun, Umeyr; Lee, Heow Pueh] Natl Univ Singapore, Dept Mech Engn, 9 Engn Dr 1, Singapore 117576, Singapore. [Teo, Wern Sze; Le Quan Ngoc Tran] Singapore Inst Mfg Technol, 71 Nanyang Dr, Singapore 638075, Singapore. RP Lee, HP (reprint author), Natl Univ Singapore, Dept Mech Engn, 9 Engn Dr 1, Singapore 117576, Singapore. EM mpeleehp@nus.edu.sg RI Lee, Heow Pueh/I-7834-2014 OI Lee, Heow Pueh/0000-0002-4380-3888; Tran, Le Quan Ngoc/0000-0002-4630-0776; Kureemun, Umeyr/0000-0002-9596-072X FU Agency for Science, Technology and Research (A*STAR) under Science and Engineering Research Council (SERC) [1426400041] FX The authors would like to acknowledge the financial support from the Agency for Science, Technology and Research (A*STAR) under the Science and Engineering Research Council (SERC) grant number 1426400041. CR Abood Adnan N, 2015, CHEM MAT RES, P7 Alamri H, 2012, COMPOS PART B-ENG, V43, P2762, DOI 10.1016/j.compositesb.2012.04.037 Biagiotti J., 2004, Journal of Natural Fibers, V1, P37, DOI 10.1300/J395v01n02_04 Buchan PA, 2007, COMPOS PART B-ENG, V38, P509, DOI 10.1016/j.compositesb.2006.07.009 Christian SJ, 2011, COMPOS PART B-ENG, V42, P1920, DOI 10.1016/j.compositesb.2011.05.039 Haris A, 2015, INT J IMPACT ENG, V80, P143, DOI 10.1016/j.ijimpeng.2015.02.008 Hebert M, 2008, COMPOS STRUCT, V84, P199, DOI 10.1016/j.compstruct.2007.07.002 Hua Y, 2014, COMPOS PART B-ENG, V56, P456, DOI 10.1016/j.compositesb.2013.08.070 Jackson M, 2011, COMPOS PART B-ENG, V42, P155, DOI 10.1016/j.compositesb.2010.09.005 Kicinska-Jakubowska A, 2012, J NAT FIBERS, V9, P150, DOI 10.1080/15440478.2012.703370 Koronis G, 2013, COMPOS PART B-ENG, V44, P120, DOI 10.1016/j.compositesb.2012.07.004 LeBlanc J, 2007, COMPOS STRUCT, V79, P344, DOI 10.1016/j.compstruct.2006.01.014 Puglia D, 2005, J NAT FIBERS, V1, P23, DOI DOI 10.1300/J395V01N03_03 Rwawiire S, 2015, COMPOS PART B-ENG, V81, P149, DOI 10.1016/j.compositesb.2015.06.021 Shah DU, 2013, COMPOS PART B-ENG, V52, P172, DOI 10.1016/j.compositesb.2013.04.027 Tekalur SA, 2008, COMPOS PART B-ENG, V39, P57, DOI 10.1016/j.compositesb.2007.02.020 Tran LQN, 2015, INT J MOD PHYS B, V29, DOI 10.1142/S0217979215400184 Tran LQN, 2011, ICCM18 INT C COMP MA Tranekaejr L, 2015, LANG MOBIL INST, V4, P127 Wambua P, 2003, COMPOS SCI TECHNOL, V63, P1259, DOI 10.1016/S0266-3538(03)00096-4 Yan LB, 2015, COMPOS PART B-ENG, V80, P343, DOI 10.1016/j.compositesb.2015.06.011 Zhang ZX, 2012, COMPOS PART B-ENG, V43, P150, DOI 10.1016/j.compositesb.2011.06.020 NR 22 TC 4 Z9 4 U1 1 U2 24 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1359-8368 EI 1879-1069 J9 COMPOS PART B-ENG JI Compos. Pt. B-Eng. PD OCT 1 PY 2016 VL 102 BP 78 EP 85 DI 10.1016/j.compositesb.2016.07.014 PG 8 WC Engineering, Multidisciplinary; Materials Science, Composites SC Engineering; Materials Science GA DV5YM UT WOS:000383006600006 OA Other Gold DA 2019-04-09 ER PT J AU Akenji, L Bengtsson, M Bleischwitz, R Tukker, A Schandl, H AF Akenji, Lewis Bengtsson, Magnus Bleischwitz, Raimund Tukker, Arnold Schandl, Heinz TI Ossified materialism: introduction to the special volume on absolute reductions in materials throughput and emissions SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Absolute reductions; Social change; Natural resource consumption; Planetary boundaries; Natural resource targets; Sustainability science ID CLIMATE-CHANGE; GREEN CONSUMERISM; FEEDBACK; CONSUMPTION; FISHERIES; FOOTPRINT; HUMANITY; ECOLOGY; WATER AB Drawing from papers in this special volume (SV), this introductory paper on absolute reductions argues that the magnitude, scope and urgency of the sustainability challenge require a drastic change in global civilisation, including a radical transformation of the institutional arrangements and socio-technical systems that facilitate the pursuit of wellbeing. The authors of this paper identify four main challenges to absolute reductions, including: the resource-intensive conventional template for development, macroeconomic structures and trade policies creating burden-shifting and inequality, a resource efficiency improvements fallacy, and the dominant consumerist culture and lifestyles. The paper demonstrates the complexity of translating planetary boundaries into boundaries for resource use and targets for absolute reductions, proposing a practical approach starting with defining footprints for water, land and materials, and then proceeding to set resource boundaries. In seeking potential solutions, the paper highlights research addressing materials and product substitution, ecological fiscal reform with measures such as carbon taxation, sustainable lifestyles, design for sustainability, eco-innovation, and management of power dynamics in the production-consumption system. We then propose six domains in a research agenda for future research. These include: moving from niches and demonstration projects to broader norms; addressing reductions targets and indicators to guide policy and action; including policy design reflecting complexities such as time-lags, the resource nexus, and positive feedback loops; global resource governance; and convergence pathways between over-consuming and under-consuming societies. These areas will provide the science that will inform policy and business decisions and guide the engagement of practitioners to work towards sustainability transitions to equitable, sustainable, post fossil carbon societies. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Akenji, Lewis; Bengtsson, Magnus] Inst Global Environm Strategies, 2108-11 Kamiyamaguchi, Hayama, Kanagawa 2400115, Japan. [Bleischwitz, Raimund] UCL, Inst Sustainable Resources, Cent House,14 Upper Woburn Pl, London WC1H 0NN, England. [Tukker, Arnold] Leiden Univ, Inst Environm Sci CML, Einsteinweg 2, Leiden, Netherlands. [Tukker, Arnold] TNO, Van Mourik BroekmanWeg 6, Delft, Netherlands. [Schandl, Heinz] CSIRO, Black Mt Labs, Clunies Ross St, Acton, ACT 2601, Australia. RP Akenji, L (reprint author), Inst Global Environm Strategies, 2108-11 Kamiyamaguchi, Hayama, Kanagawa 2400115, Japan. EM akenji@live.com; bengtsson@iges.or.jp; r.bleischwitz@ucl.ac.uk; tukker@cml.leidenuniv.nl; heinz.schandl@csiro.au RI Schandl, Heinz/C-5055-2008 OI Schandl, Heinz/0000-0001-6399-4231; Akenji, Lewis/0000-0003-4422-8819 CR Adnan H., 2013, WATER FOOD ENERGY NE Akenji L, 2014, SUSTAINABILITY-BASEL, V6, P513, DOI 10.3390/su6020513 Akenji L, 2014, J CLEAN PROD, V63, P13, DOI 10.1016/j.jclepro.2013.05.022 Allwood JM, 2010, ENVIRON SCI TECHNOL, V44, P1888, DOI 10.1021/es902909k Arvidsson R, 2015, J CLEAN PROD Bardi U., 2014, EXTRACTED QUEST MINE Bazilian M, 2011, ENERG POLICY, V39, P7896, DOI 10.1016/j.enpol.2011.09.039 BIO Intelligence Service, 2012, ASS RES EFF IND TARG Bleischwitz R, 2014, EUR J FUTURES RES, V2, DOI 10.1007/s40309-013-0034-1 Bleischwitz R, 2012, MINER ECON, V24, P135, DOI 10.1007/s13563-011-0014-5 Bringezu S, 2015, RESOURCES-BASEL, V4, P25, DOI 10.3390/resources4010025 Brown H.S., 2014, J CLEAN PROD Cazcarro I., 2014, J CLEAN PROD, P1 Chen P.C., 2014, J CLEAN PROD Chertow MR, 2007, J IND ECOL, V11, P11, DOI 10.1162/jiec.2007.1110 Cheung WWL, 2010, GLOBAL CHANGE BIOL, V16, P24, DOI 10.1111/j.1365-2486.2009.01995.x Dittrich M, 2012, GREEN EC WORLD IMPLI Eriksson C, 2004, RESOUR ENERGY ECON, V26, P281, DOI 10.1016/j.reseneeco.2003.10.001 Escobar A., 2006, Development (London), V49, P6, DOI 10.1057/palgrave.development.1100267 Ewijk S., 2014, J CLEAN PROD, P1 Friedlingstein P, 2003, TELLUS B, V55, P692, DOI 10.1034/j.1600-0889.2003.01461.x Fuchs D., 2014, J CLEAN PROD, P1 Gerland P, 2014, SCIENCE, V346, P234, DOI 10.1126/science.1257469 Giurco D, 2014, J CLEAN PROD, V84, P322, DOI 10.1016/j.jclepro.2014.05.102 Heimann M, 2008, NATURE, V451, P289, DOI 10.1038/nature06591 Hertwich E., 2010, ASSESSING ENV IMPACT Hertwich EG, 2005, J IND ECOL, V9, P85, DOI 10.1162/1088198054084635 Hirschnitz-Garbers M., 2014, J CLEAN PROD, V2 Hoekstra AY, 2014, SCIENCE, V344, P1114, DOI 10.1126/science.1248365 IEA, 2012, WORLD EN OUTL 2012 IPCC, 2014, CLIMATE CHANGE 2014 Kalmykova Y., 2014, J CLEAN PROD, P1 Knoeri C, 2014, J CLEAN PROD, P1 Kojima S., 2015, EC GREEN GROWTH Kuramochi T., 2015, J CLEAN PROD, P17 Laakso S., 2014, J CLEAN PROD, P1 Le Billon P, 2001, POLIT GEOGR, V20, P561, DOI 10.1016/S0962-6298(01)00015-4 Leautier F. A., 2013, JOBLESS EC GROWTH LE Lee B., 2012, RESOURCES FUTURES, P249 Lettenmeier M, 2014, RESOURCES-BASEL, V3, P488, DOI 10.3390/resources3030488 LUHMANN N, 1977, CAN J SOCIOL, V2, P29, DOI 10.2307/3340510 Mair S., 2014, J CLEAN PROD, P1 Maniatis P, 2015, J CLEAN PROD, V1, P1, DOI DOI 10.1016/J.JCLEPR0.2015.02.067 Meinshausen M, 2009, NATURE, V458, P1158, DOI 10.1038/nature08017 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY Miller S., 2015, J CLEAN PRO IN PRESS, P1 Nunes B., 2014, J CLEAN PROD, P1 Paloheimo H., 2014, J CLEAN PROD, P1 Pettersen I.N., 2014, J CLEAN PROD, P1 Pfister S, 2009, P NATL ACAD SCI USA, V106, pE93, DOI 10.1073/pnas.0908069106 Pirani S.I., 2015, J CLEAN PROD Ridoutt BG, 2012, P NATL ACAD SCI USA, V109, pE1424, DOI 10.1073/pnas.1203809109 Roberts CM, 2005, PHILOS T R SOC B, V360, P123, DOI 10.1098/rstb.2004.1578 Rockstrom J, 2009, ECOL SOC, V14 Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Rogelj J, 2016, NAT CLIM CHANGE, V6, P245, DOI 10.1038/NCLIMATE2868 Rothman DS, 2009, CURR OPIN ENV SUST, V1, P214, DOI 10.1016/j.cosust.2009.09.002 Savaskan RC, 2004, MANAGE SCI, V50, P239, DOI 10.1287/mnsc.1030.0186 Schandl H, 2015, J CLEAN PROD, DOI [10.1016/j.jclepro.2015.06.100, DOI 10.1016/J.JCLEPRO.2015.06.100] Scheffer M, 2006, GEOPHYS RES LETT, V33, DOI 10.1029/2005GL025044 Schuur EAG, 2015, NATURE, V520, P171, DOI 10.1038/nature14338 Seebauer S., 2014, J CLEAN PROD Simms A., 2010, GROWTH ISNT POSSIBLE Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855 Stocker T.F., 2013, CLIMATE CHANGE 2013, DOI [10.1017/CBO9781107415324, DOI 10.1017/CBO9781107415324] Suki N. M., 2015, J CLEAN PROD, V30, P1 Thomas DP, 2009, REV AFR POLIT ECON, V36, P467, DOI 10.1080/03056240903211364 Tukker A., 2014, GLOBAL RESOURCE FOOT UN Secretary-General, 2014, ROAD DIGN 2030 END P UNEP, 2011, DEC NAT RES US ENV I, P30 UNEP, 2007, GEO 4 ENV DEV UNEP (United Nations Environment Programme), 2012, GEO 5 ENV FUT WE WAN United Nations Economic and Social Commission for Asia and the Pacific (UNES-CAP), 2013, UN PUBL, V72 United Nations Environment Programme (UNEP), 2014, EM GAP REP 2014 UNEP Van Vuuren DP, 2009, GROWING LIMITS REPOR VanDeveer S., 2014, GLOBAL RESOURCE NEXU Vigants E., 2015, J CLEAN PROD, P1 Watts N., 2015, LANCET, V6736, P53 WEF, 2011, GLOB RISKS 2011 Welfens M.J., 2015, J CLEAN PROD Wijkman A., 2012, BANKRUPTING NATURE D World Health Organization, 2014, BURD DIS AMB AIR POL WRG, 2009, WATER, P1 NR 83 TC 14 Z9 14 U1 4 U2 33 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD SEP 20 PY 2016 VL 132 BP 1 EP 12 DI 10.1016/j.jclepro.2016.03.071 PG 12 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DS2OW UT WOS:000380624400001 DA 2019-04-09 ER PT J AU Mair, S Druckman, A Jackson, T AF Mair, Simon Druckman, Angela Jackson, Tim TI Global inequities and emissions in Western European textiles and clothing consumption SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Textiles & clothing; Carbon footprint; Social footprint; Input-output analysis; Globalisation; Global value chains ID STRUCTURAL DECOMPOSITION ANALYSIS; GREENHOUSE-GAS EMISSIONS; INPUT-OUTPUT-ANALYSIS; INTERNATIONAL-TRADE; CARBON FOOTPRINT; CO2 EMISSIONS; MODEL; GLOBALIZATION; AGGREGATION; REDUCTION AB Rising demand for cheaper textiles and clothing in Western Europe is well documented, as are changes in the Textiles and Clothing industry's globalised production structure. We apply a sub-systems global multi-regional input output accounting framework to examine the sustainability implications of meeting Western European demand for textiles and clothing goods between 1995 and 2009. Our framework estimates environmental and socio-economic impacts of consumption in a consistent manner and shows where these occur both geographically and in the value chain. The results demonstrate that Western European textiles and clothing consumption remains dependent on low-cost labour from Brazil, Russia, India and China (BRIC), principally in the Textiles and Clothing and Agricultural sectors. Conversely, we show that the wage rate for BRIC workers in the global value chains serving Western European textiles and clothing consumption has risen over time but remains low relative to the wage rate paid to Western European workers. Likewise, we find that profits are increasingly generated within BRIC and that they are now at comparable levels to those generated in Western Europe. We find a slight overall decrease in the amount of carbon emitted in the production of textiles and clothing goods for Western Europe between 1995 and 2009. However, the trend is not linear and the importance of different underlying drivers varies over the timeseries. We conclude by discussing the implications of these results for a more sustainable future for Western European textiles and clothing consumption. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Mair, Simon; Druckman, Angela; Jackson, Tim] Univ Surrey, Fac Phys & Engn Sci, Ctr Environm Strategy, Guildford GU2 7JG, Surrey, England. RP Mair, S (reprint author), Univ Surrey, Fac Phys & Engn Sci, Ctr Environm Strategy, Guildford GU2 7JG, Surrey, England. EM s.mair@surrey.ac.uk OI Mair, Simon/0000-0001-5143-8668; Druckman, Angela/0000-0002-2515-0369 FU UK's Economic and Social Research Council; Natural Environment Research Council [ES/J500148/1]; Economic and Social Research Council [1230869] FX This work was jointly supported by the UK's Economic and Social Research Council and Natural Environment Research Council, grant number ES/J500148/1. We would like to thank Professor Karen Turner and two anonymous reviewers for their helpful comments and suggestions. CR Aaronson D, 2001, REV ECON STAT, V83, P158, DOI 10.1162/003465301750160126 Acquaye A, 2014, SUPPLY CHAIN MANAG, V19, P306, DOI 10.1108/SCM-11-2013-0419 Acquaye AA, 2011, ENERG BUILDINGS, V43, P1295, DOI 10.1016/j.enbuild.2011.01.006 Adhikari R., 2007, TEXTILE CLOTHING IND, P432 Allwood J. M., 2006, WELL DRESSED PRESENT Alsamawi A, 2014, J IND ECOL, V18, P59, DOI 10.1111/jiec.12104 Andrew R., 2013, OPTIMAL CARBON POLIC Andrew R, 2009, ECON SYST RES, V21, P311, DOI 10.1080/09535310903541751 Bradley P, 2013, J CLEAN PROD, V42, P241, DOI 10.1016/j.jclepro.2012.11.009 Brizga J, 2014, ECOL ECON, V98, P22, DOI 10.1016/j.ecolecon.2013.12.001 Brundtland Gro Harlem, 1987, OUR COMMON FUTURE, P8 Callen T, 2007, FINANC DEV, V44, P1 Carbon Trust, 2011, INT CARB FLOWS CLOTH Chaudry R., 2004, HARVESTING GINNING C Chen H-L., 2006, RES J, V24, P248, DOI DOI 10.1177/0887302X06293065 Claudio L., 2007, ENVIRON HEALTH PERSP, V115, P449, DOI DOI 10.1289/EHP.115-A449 Clift R., 2013, TREATISE SUSTAINABIL Cox J, 2013, RESOUR CONSERV RECY, V79, P21, DOI 10.1016/j.resconrec.2013.05.003 Davis SJ, 2011, P NATL ACAD SCI USA, V108, P18554, DOI 10.1073/pnas.1107409108 Deaton A, 2010, AM ECON J-MACROECON, V2, P1, DOI 10.1257/mac.2.4.1 Dicken P, 2011, GLOBAL SHIFT MAPPING, P302 Dietzenbacher E., 2013, EC SYST RES, V25 Druckman A, 2008, ECOL ECON, V66, P594, DOI 10.1016/j.ecolecon.2007.10.020 Druckman A, 2009, ECOL ECON, V68, P2066, DOI 10.1016/j.ecolecon.2009.01.013 Duchin F., 1994, FUTURE ENV ECOLOGICA Dunford M., 2004, EUROPEAN IND RESTRUC EMCC, 2008, TEXT CLOTH SECT HERN Erumban Abdul Azeez, 2012, WIOD SOCIOECONOMIC A FAOSTAT, 2014, COTT PROD STAT COUNT Feenstra R.C., 1996, 5424 NBER Francois J., 2007, IMPACTS TEXTILES CLO Genty A., 2012, FINAL DATABASE ENV S GEREFFI G, 2003, GLOBAL APPAREL VALUE Giljum S., 2008, GLOBAL RESOURCE ACCO Girod B, 2010, J IND ECOL, V14, P31, DOI 10.1111/j.1530-9290.2009.00202.x Giuli M., 1997, RES PAPERS INT BUSIN, V2-97 Haughton G, 1999, J PLAN EDUC RES, V18, P233, DOI 10.1177/0739456X9901800305 International Trade Union Confederation, 2014, ITUC GLOB RIGHTS IND IPCC, 2014, CLIMATE CHANGE 2014 Jackson T., 2009, PROSPERITY GROWTH EC Jackson T, 2011, NAT RESOUR FORUM, V35, P155, DOI 10.1111/j.1477-8947.2011.01395.x Kanemoto K, 2014, GLOBAL ENVIRON CHANG, V24, P52, DOI 10.1016/j.gloenvcha.2013.09.008 Kaplinsky Raphael, 2006, DANGLING THREAD SHAR Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Lenzen M, 2013, ECON SYST RES, V25, P20, DOI 10.1080/09535314.2013.769938 Lenzen M, 2011, ECON SYST RES, V23, P73, DOI 10.1080/09535314.2010.548793 Lenzen M, 2010, ECON SYST RES, V22, P43, DOI 10.1080/09535311003661226 Los B., 2014, J REGIONAL SCI, V1, P66 McMullen A., 2014, TAILORED WAGES Miller RE., 2009, INPUT OUTPUT ANAL FD Moran DD, 2013, ECOL ECON, V89, P177, DOI 10.1016/j.ecolecon.2013.02.013 Morris M., 2008, 102008 RES STAT BRAN Nordas Hildegunn Kyvik, 2004, 5 WORLD TRAD ORG Nordhaus W, 2007, ENERG ECON, V29, P349, DOI 10.1016/j.eneco.2006.02.003 O'Brien-Strain M., 2000, INCREASING MINIMUM W Ortiz I., 2011, GLOBAL INEQUALITY BO Peters GP, 2007, ENVIRON SCI TECHNOL, V41, P5939, DOI 10.1021/es070108f Peters GP, 2011, ECON SYST RES, V23, P131, DOI 10.1080/09535314.2011.563234 Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Piaggio M, 2015, ECOL ECON, V110, P1, DOI 10.1016/j.ecolecon.2014.12.003 Rivoli P., 2006, TRAVELS T SHIRT GLOB Schnabl H., 1995, EC SYST RES, V7 Schor JB, 2005, ECOL ECON, V55, P309, DOI 10.1016/j.ecolecon.2005.07.030 Simas M, 2015, J IND ECOL, V19, P343, DOI 10.1111/jiec.12187 Simas MS, 2014, SUSTAINABILITY-BASEL, V6, P7514, DOI 10.3390/su6117514 Song Y, 2014, CHINA ECON REV, V29, P200, DOI 10.1016/j.chieco.2014.04.012 Sorensen S.Y., 2008, EU TEXTILES CLOTHING Spinanger D, 1999, WORLD ECON, V22, P455, DOI 10.1111/1467-9701.00213 Taplin I., 2014, CRITICAL PERSPECTIVE, V10 Tewari M, 2006, ENVIRON PLANN A, V38, P2325, DOI 10.1068/a38279 Timmer M, 2012, 10 WIOD Timmer M. P., 2013, SLICING GLOBAL VALUE Timmer MP, 2013, ECON POLICY, V28, P613, DOI 10.1111/1468-0327.12018 Tokatli N, 2011, URBAN STUD, V48, P1201, DOI 10.1177/0042098010370629 Tukker A, 2013, ECON SYST RES, V25, P50, DOI 10.1080/09535314.2012.761952 Tukker A, 2013, ECON SYST RES, V25, P1, DOI 10.1080/09535314.2012.761179 Wiedmann T, 2010, ECON SYST RES, V22, P19, DOI 10.1080/09535311003612591 Wilting H., 2012, MRIO MODELLING SOME, P1 Xu Y, 2014, ECOL ECON, V101, P10, DOI 10.1016/j.ecolecon.2014.02.015 Zhang HX, 2008, ECON SYST RES, V20, P205, DOI 10.1080/09535310802075414 NR 80 TC 9 Z9 9 U1 8 U2 88 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD SEP 20 PY 2016 VL 132 BP 57 EP 69 DI 10.1016/j.jclepro.2015.08.082 PG 13 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DS2OW UT WOS:000380624400005 DA 2019-04-09 ER PT J AU Cazcarro, I Duarte, R Sanchez-Choliz, J AF Cazcarro, Ignacio Duarte, Rosa Sanchez-Choliz, Julio TI Downscaling the grey water footprints of production and consumption SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Grey water footprints; Downscaling; Regional science; Input-output; GIS; Spain ID INPUT-OUTPUT-ANALYSIS; VIRTUAL WATER; SPANISH ECONOMY; TRADE; CHINA; FLOWS; MODEL; SUSTAINABILITY; CONSTRAINTS; POLLUTION AB While economic and environmental policies and strategies are largely designed at the international, national or regional level, the environmental impacts of these measures are often felt at a more geographically-localized level. In particular, the effects on water resources, especially regarding water pollution and water stress, are usually localized in very specific hotspots. In this work, we acknowledge these facts and attempt to identify the linkages among the 17 regions in Spain (a semi-arid country with significant geographical variations in water availability), the European Union (EU), and the Rest of the World (RW), while also looking at the local effects of those interactions. In particular, we study the grey water footprints (a measure of the assimilation capacity of water resources) of production, at both the regional and business level, with spatially explicit information, and the extension of those footprints throughout the supply chain, while also computing the water footprints of consumption at the regional level. This process is a combination of a detailed computation of grey water footprints from production, from agriculture (from diffuse pollution), and from more general economic activities (from point source pollution), with a multiregional input output model that encompasses the 17 Spanish Regions, the EU, and the RW. We also identify hotspots and vulnerable areas, linking the grey water footprints from production originating in these areas to final-consumer responsibilities. As an example of the potential of the combined methodology, we design and evaluate the effects on grey water footprints of scenarios of import substitutions in Spain. Our results show strong final demand in regions such as Madrid and Catalonia, and in net exporting regions such as Andalusia, Aragon, Castile and Leon, Castile-La Mancha, Extremadura, and Navarre. Some of these regions contain areas that are clearly vulnerable to nitrates and other pollutants, and parts of these regions, most obviously in Andalusia and Extremadura, suffer water stress, which leads us to question the sustainability of the relationships between the structure of production and trade and the environment. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Cazcarro, Ignacio] BC3 Basque Ctr Climate Change, Alameda Urquijo 4,4-1a, Bilbao 48008, Spain. [Duarte, Rosa; Sanchez-Choliz, Julio] Univ Zaragoza, Fac Econ & Business, Dept Econ Anal, Gran Via 2, Zaragoza 50005, Spain. RP Cazcarro, I (reprint author), BC3 Basque Ctr Climate Change, Alameda Urquijo 4,4-1a, Bilbao 48008, Spain. EM ignacio.cazcarro@bc3research.org; rduarte@unizar.es; jsanchez@unizar.es FU project "Natural resources, structural change and economic growth" [ECO2010-14929] FX The authors acknowledge the very useful comments and suggestions received from the anonymous reviewers and the participants at the International Input-Output Conferences. The authors want to thank the financial support of the project "Natural resources, structural change and economic growth" (ECO2010-14929). Ignacio Cazcarro also acknowledges the help and discussions on the grey water footprints with the Environmental Consultant Mario Fernandez Barrena. All errors and shortcomings are the authors' sole responsibility. CR Albino V., 2007, 16 INT INP OUTP C IN Allan G., 2004, STRATHCLYDE DISCUSSI, P04 ALLAN JA, 1994, WATER IN THE ARAB WORLD, P65 Allan JA, 1998, GROUND WATER, V36, P545, DOI 10.1111/j.1745-6584.1998.tb02825.x ALLAN JA, 1993, PRIORITIES WATER RES, P13 Aviso KB, 2011, J CLEAN PROD, V19, P187, DOI 10.1016/j.jclepro.2010.09.003 Bayo J, 2012, J CLEAN PROD, V32, P227, DOI 10.1016/j.jclepro.2012.04.003 Buttner G, 2007, 172007 EEA Buttner G., 2004, EARSEL EPROCEEDINGS, V3, P331 Cazcarro I, 2013, ENVIRON SCI TECHNOL, V47, P12275, DOI 10.1021/es4019964 Chapagain A. K., 2004, RES REPORT SERIES CHAPAGAIN AK, 2003, VALUE WATER RES REPO, V12, P49 Chapagain AK, 2008, WATER INT, V33, P19, DOI 10.1080/02508060801927812 Chenery HB, 1953, STRUCTURE GROWTH ITA, P98 Chico D, 2013, J CLEAN PROD, V57, P238, DOI 10.1016/j.jclepro.2013.06.001 Daniels PL, 2011, ECON SYST RES, V23, P353, DOI 10.1080/09535314.2011.633500 De Fraiture C, 2004, DOES INT CEREAL TRAD Dietzenbacher E, 2007, REG STUD, V41, P185, DOI 10.1080/00343400600929077 Duarte R, 2002, ECOL ECON, V43, P71, DOI 10.1016/S0921-8009(02)00183-0 Duarte R, 2011, ECON SYST RES, V23, P341, DOI 10.1080/09535314.2011.638277 EEA, 2014, WAT QUAL RIV LAK PHO EEA T.F, 1992, CORINE LAND COV EUR Ewing BR, 2012, ECOL INDIC, V23, P1, DOI 10.1016/j.ecolind.2012.02.025 Feng KS, 2012, APPL GEOGR, V32, P691, DOI 10.1016/j.apgeog.2011.08.004 Franke N.A., 2013, GERY WATER FOOTPRINT Garrido A, 2010, NAT RES MANAG POLICY, V35, P1, DOI 10.1007/978-1-4419-5741-2 Greenpeace, 2005, AG CAL AG ESP EST CU, P140 Guan D, 2007, ECOL ECON, V61, P159, DOI 10.1016/j.ecolecon.2006.02.022 Haddad E.A., 2013, 21 INT INP OUTP C KI Hoekstra AY, 2007, WATER RESOUR MANAG, V21, P35, DOI 10.1007/s11269-006-9039-x Hoekstra A.Y., 2009, WATER FOOTPRINT MANU Hoekstra A. Y., 2011, WATER FOOTPRINT MANU Hubacek K., 2001, NATURAL RESOURCES MA Hubacek K, 2009, J CLEAN PROD, V17, P1241, DOI 10.1016/j.jclepro.2009.03.011 Hung P., 2002, VIRTUAL WATER TRADE Isard W, 1951, REV ECON STAT, V33, P318, DOI 10.2307/1926459 Jeswani HK, 2011, J CLEAN PROD, V19, P1288, DOI 10.1016/j.jclepro.2011.04.003 Jiang YK, 2015, J CLEAN PROD, V87, P655, DOI 10.1016/j.jclepro.2014.10.074 Kitzes J, 2013, RESOURCES-BASEL, V2, P489, DOI 10.3390/resources2040489 Lenzen M., 2008, VICTORIAN WATER TRUS Lenzen M., 2013, 21 INT INP OUTP C KI Lenzen M, 2013, ECOL ECON, V94, P78, DOI 10.1016/j.ecolecon.2013.06.018 Lenzen M, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007649 Liu C, 2012, ECOL INDIC, V18, P42, DOI 10.1016/j.ecolind.2011.10.005 Lofting E. M., 1968, EC VALUATION WATER I Lopez-Morales C, 2011, ECON SYST RES, V23, P387, DOI 10.1080/09535314.2011.635138 Malczewski J, 2004, PROG PLANN, V62, P3, DOI 10.1016/j.progrss.2003.09.002 Miller RE., 2009, INPUT OUTPUT ANAL FD MMA, 2013, VULN NITR AR SIST IN Moses LN, 1955, AM ECON REV, V45, P803 Okadera T, 2006, ECOL ECON, V58, P221, DOI 10.1016/j.ecolecon.2005.07.005 Oki T., 2003, VIRTUAL WATER TRADE Salmoral G, 2011, SPAN J AGRIC RES, V9, P1089, DOI [10.5424/http://dx.doi.org/10.5424/sjar/20110904-035-11, 10.5424/sjar/20110904-035-11] Sanchez-Choliz J, 2005, ECOL ECON, V53, P325, DOI 10.1016/j.ecolecon.2004.09.013 Sanchez-Choliz J, 2003, CAMBRIDGE J ECON, V27, P433, DOI 10.1093/cje/27.3.433 Wang ZY, 2013, J CLEAN PROD, V42, P172, DOI 10.1016/j.jclepro.2012.11.007 Wiedmann T., 2013, 21 INT INP OUTP C KI Wiedmann T, 2007, ECOL ECON, V61, P15, DOI 10.1016/j.ecolecon.2006.12.003 Wiedmann T, 2010, ECON SYST RES, V22, P19, DOI 10.1080/09535311003612591 Zimmer D., 2003, VIRTUAL WATER TRADE NR 60 TC 16 Z9 16 U1 11 U2 91 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD SEP 20 PY 2016 VL 132 BP 171 EP 183 DI 10.1016/j.jclepro.2015.07.113 PG 13 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DS2OW UT WOS:000380624400014 DA 2019-04-09 ER PT J AU McNamara, J Rowcliffe, M Cowlishaw, G Alexander, JS Ntiamoa-Baidu, Y Brenya, A Milner-Gulland, EJ AF McNamara, J. Rowcliffe, M. Cowlishaw, G. Alexander, J. S. Ntiamoa-Baidu, Y. Brenya, A. Milner-Gulland, E. J. TI Characterising Wildlife Trade Market Supply-Demand Dynamics SO PLOS ONE LA English DT Article ID EQUATORIAL-GUINEA; WEST-AFRICA; BUSHMEAT CONSUMPTION; RED COLOBUS; GHANA; SUSTAINABILITY; CONSERVATION; LIVELIHOODS; DRIVERS; MODELS AB The trade in wildlife products can represent an important source of income for poor people, but also threaten wildlife locally, regionally and internationally. Bushmeat provides livelihoods for hunters, traders and sellers, protein to rural and urban consumers, and has depleted the populations of many tropical forest species. Management interventions can be targeted towards the consumers or suppliers of wildlife products. There has been a general assumption in the bushmeat literature that the urban trade is driven by consumer demand with hunters simply fulfilling this demand. Using the urban bushmeat trade in the city of Kumasi, Ghana, as a case study, we use a range of datasets to explore the processes driving the urban bushmeat trade. We characterise the nature of supply and demand by explicitly considering three market attributes: resource condition, hunter behaviour, and consumer behaviour. Our results suggest that bushmeat resources around Kumasi are becoming increasingly depleted and are unable to meet demand, that hunters move in and out of the trade independently of price signals generated by the market, and that, for the Kumasi bushmeat system, consumption levels are driven not by consumer choice but by shortfalls in supply and consequent price responses. Together, these results indicate that supply-side processes dominate the urban bushmeat trade in Kumasi. This suggests that future management interventions should focus on changing hunter behaviour, although complementary interventions targeting consumer demand are also likely to be necessary in the long term. Our approach represents a structured and repeatable method to assessing market dynamics in information-poor systems. The findings serve as a caution against assuming that wildlife markets are demand driven, and highlight the value of characterising market dynamics to informappropriate management. C1 [McNamara, J.; Alexander, J. S.; Milner-Gulland, E. J.] Imperial Coll London, Div Biol, Silwood Pk Campus, Ascot, Berks, England. [McNamara, J.; Rowcliffe, M.; Cowlishaw, G.] Zool Soc London, Inst Zool, Regents Pk, London, England. [Ntiamoa-Baidu, Y.] Univ Ghana, Ctr African Wetlands, Legon, Ghana. [Brenya, A.] Forestry Commiss, Ghana Wildlife Div, Accra, Ghana. [Milner-Gulland, E. J.] Univ Oxford, Dept Zool, Oxford, England. RP Milner-Gulland, EJ (reprint author), Imperial Coll London, Div Biol, Silwood Pk Campus, Ascot, Berks, England.; Milner-Gulland, EJ (reprint author), Univ Oxford, Dept Zool, Oxford, England. EM ej.milner-gulland@zoo.ox.ac.uk RI Rowcliffe, Marcus/G-3713-2018 OI Rowcliffe, Marcus/0000-0002-4286-6887 FU Biotechnology and Biological Sciences Research Council FX Funding was provided by the Biotechnology and Biological Sciences Research Council as part of JM's PhD research grant. www.bbsrc.ac.uk.; J.M. acknowledges support from the Biotechnology and Biological Sciences Research Council, and thanks John Fa and Douglas MacMillan for valuable comments. We thank the Ghana Wildlife Division, James Oppong and Mark Owusu for their help and support in Ghana. CR Alexander J, 2014, ORYX Allebone-Webb SM, 2011, CONSERV BIOL, V25, P597, DOI 10.1111/j.1523-1739.2011.01681.x Angrist JD, 2000, REV ECON STUD, V67, P499, DOI 10.1111/1467-937X.00141 Annor SY, 2008, LIVESTOCK RES RURAL, V20, P2008 [Anonymous], 2014, GLSS 6 GHAN LIV STAN [Anonymous], 2014, GHANA TRADE UNIONS C [Anonymous], 1999, GLSS 4 GHAN LIV STAN Asibey EOA, 1987, 97 AS EOA, P4 Badiane O, 1998, J DEV ECON, V56, P411, DOI 10.1016/S0304-3878(98)00072-8 Barnes RFW, 2002, ORYX, V36, P236, DOI 10.1017/S0030605302000443 Besanko D., 2010, MICROECONOMICS Blanchard O, 2012, 1003 IMF Bowen Jones E, 1999, ORYX, V33, P233, DOI 10.1046/j.1365-3008.1999.00066.x Bowen-Jones E., 2002, ASSESSMENT SOLUTION Brashares JS, 2004, SCIENCE, V306, P1180, DOI 10.1126/science.1102425 Brashares JS, 2003, CONSERV BIOL, V17, P733, DOI 10.1046/j.1523-1739.2003.01592.x Brashares JS, 2011, P NATL ACAD SCI USA, V108, P13931, DOI 10.1073/pnas.1011526108 Brown D, 2003, INT FOREST REV, V5, P148, DOI 10.1505/IFOR.5.2.148.17414 Cinner JE, 2009, CONSERV BIOL, V23, P124, DOI 10.1111/j.1523-1739.2008.01041.x Cowlishaw G, 2005, CONSERV BIOL, V19, P139, DOI 10.1111/j.1523-1739.2005.00170.x Crookes D, 2007, S AFR J ECON MANAG S, V10, P457 DEI GJS, 1989, ECOL FOOD NUTR, V22, P225, DOI 10.1080/03670244.1989.9991071 East T, 2005, BIOL CONSERV, V126, P206, DOI 10.1016/j.biocon.2005.05.012 Endamana D, 2010, TROP CONSERV SCI, V3, P262, DOI 10.1177/194008291000300303 Fa JE, 2002, HUM ECOL, V30, P397, DOI 10.1023/A:1016524703607 Falconer J, 1992, NONTIMBER FOREST PRO Food and Agriculture Organization of the United Nations, 2015, FAOSTAT DAT GHOSH A, 1958, ECONOMICA, V25, P58, DOI 10.2307/2550694 Gill DJC, 2012, CONSERV BIOL, V26, P1052, DOI 10.1111/j.1523-1739.2012.01876.x GTZ, 2009, GRASSC PROD HDB Hofmann T., 1999, BUSHMEAT NATURAL RES Illukpitiya P, 2010, ECOL ECON, V69, P1952, DOI 10.1016/j.ecolecon.2010.05.007 JORI F, 1995, BIODIVERS CONSERV, V4, P257, DOI 10.1007/BF00055972 Ling S, 2006, CONSERV BIOL, V20, P1294, DOI 10.1111/j.1523-1739.2006.00414.x McGraw WS, 2002, ORYX, V36, P223, DOI 10.1017/S003060530200042X McNamara J, 2015, CONSERV BIOL, V29, P1446, DOI 10.1111/cobi.12545 McNamara J, 2014, THESIS Milner-Gulland EJ, 2002, ECOL ECON, V42, P165, DOI 10.1016/S0921-8009(02)00047-2 Moro M, 2015, ANIM CONSERV, V18, P377, DOI 10.1111/acv.12184 Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501 Newing H, 2001, BIODIVERS CONSERV, V10, P99, DOI 10.1023/A:1016671524034 Ntiamoa-Baidu Y., 1998, WILDLIFE DEV PLAN 19, V6 Ntiamoa-Baidu Y, 1998, WILDLIFE UTILIZATION Oates JF, 2000, CONSERV BIOL, V14, P1526, DOI 10.1046/j.1523-1739.2000.99230.x Owen O. J., 2012, Journal of Environmental issues and Agriculture in Developing Countries, V4, P104 Rentsch D, 2013, ECOL ECON, V91, P1, DOI 10.1016/j.ecolecon.2013.03.021 Robinson JG, 2002, ORYX, V36, P332, DOI 10.1017/S0030605302000662 Schenck M, 2006, HUM ECOL, V34, P433, DOI 10.1007/s10745-006-9025-1 Schulte-Herbruggen B, 2013, HUM ECOL, V41, P795, DOI 10.1007/s10745-013-9609-5 Struhsaker Thomas T., 1995, African Primates, V1, P5 Tutu K., 1993, EC LIVING WILDLIFE G, P85 Wright JH, 2016, CONSERV BIOL, V30, P7, DOI 10.1111/cobi.12607 NR 52 TC 2 Z9 2 U1 1 U2 20 PU PUBLIC LIBRARY SCIENCE PI SAN FRANCISCO PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA SN 1932-6203 J9 PLOS ONE JI PLoS One PD SEP 15 PY 2016 VL 11 IS 9 AR e0162972 DI 10.1371/journal.pone.0162972 PG 18 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA DW5SJ UT WOS:000383706900105 PM 27632169 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Cambero, C Sowlati, T AF Cambero, Claudia Sowlati, Taraneh TI Incorporating social benefits in multi-objective optimization of forest-based bioenergy and biofuel supply chains SO APPLIED ENERGY LA English DT Article DE Biorefinery supply chain; Multi-objective optimization; Social benefit; Sustainability; Forest-based biomass ID LIFE-CYCLE ASSESSMENT; MULTICRITERIA OPTIMIZATION; REGIONAL BIOMASS; PRODUCTION COST; DESIGN; NETWORKS; CHALLENGES; EMPLOYMENT; MANAGEMENT; FOOTPRINTS AB Utilization of forest and wood residues to produce bioenergy and biofuels could generate additional revenue streams for forestry companies, reduce their environmental impacts and generate new development opportunities for forest-dependent communities. Further development of forest-based biorefineries entails addressing complexities and challenges related to biomass procurement, logistics, technologies, and sustainability. Numerous optimization models have been proposed for the economic and environmental design of biomass-to-bioenergy or biofuel supply chains. A few of them also maximized the job creation potential of the supply chain through the use of employment multipliers. The use of a total job creation indicator as the social optimization objective implies that all new jobs generate the same level of social benefit. In this paper, we quantify the potential social benefit of new forest-based biorefinery supply chains considering different impacts of new jobs based on their type and location. This social benefit is incorporated into a multi-objective mixed integer linear programming model that maximizes the social benefit, net present value and greenhouse gas emission saving potential of a forest based biorefinery supply chain. The applicability of the model is illustrated through a case study in the interior region of British Columbia, Canada where different utilization paths for available forest and wood residues are investigated. The multi-objective optimization model is solved using a Pareto-generating method. The analysis of the generated set of Pareto-optimal solutions show a trade-off between the net present value of the supply chain and the other two investigated objectives. Moreover, there is a positive correlation between the potential to generate high impact jobs in the region and its potential to generate greenhouse gas emission savings. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Cambero, Claudia] Univ British Columbia, Dept Wood Sci, Ind Engn Res Grp, 2943-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada. [Sowlati, Taraneh] Univ British Columbia, Dept Wood Sci, Ind Engn Res Grp, 2931-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada. RP Sowlati, T (reprint author), Univ British Columbia, Dept Wood Sci, Ind Engn Res Grp, 2931-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada. EM cambero.claudia@gmail.com; taraneh.sowlati@ubc.ca FU Natural Science and Engineering Research Council of Canada (Discovery Research Grant) [RGPIN 249986-09]; Natural Science and Engineering Research Council of Canada (Strategic Research Network on Value Chain Optimization NSERC Grant) [NETGP 387200-09]; National Council of Science and Technology, Mexico (CONACYT) [311359] FX This work was supported by the Natural Science and Engineering Research Council of Canada (Discovery Research Grant RGPIN 249986-09 and Strategic Research Network on Value Chain Optimization NSERC Grant NETGP 387200-09), and the National Council of Science and Technology, Mexico (CONACYT grant 311359). CR Akhtari S, 2012, THESIS [Anonymous], 2013, PAR DEC TECHN Awudu I, 2012, RENEW SUST ENERG REV, V16, P1359, DOI 10.1016/j.rser.2011.10.016 Ayoub N, 2009, ENERG CONVERS MANAGE, V50, P2944, DOI 10.1016/j.enconman.2009.07.010 B.C. Ministry of Forests, 2010, STAT BRIT COL FOR B.C. Stats, 2009, EC DEP TABL FOR DIST Bernardi A, 2012, BIOFUEL BIOPROD BIOR, V6, P656, DOI 10.1002/bbb.1358 Cambero C, 2016, CHEM ENG RES DES, V107, P218, DOI 10.1016/j.cherd.2015.10.040 Cambero C, 2015, RESOUR CONSERV RECY, V105, P59, DOI 10.1016/j.resconrec.2015.10.014 Cambero C, 2015, INT J ENERG RES, V39, P439, DOI 10.1002/er.3233 Campbell K, 2007, FEASIBILITY STUDY GU Canadian Forest Service, 2013, CAN FOR IND OV Carnbero C, 2014, RENEW SUST ENERG REV, V36, P62, DOI 10.1016/j.rser.2014.04.041 Chen MJ, 2014, INT J ELEC POWER, V57, P90, DOI 10.1016/j.ijepes.2013.11.046 Cucek L, 2012, ENERGY, V44, P135, DOI 10.1016/j.energy.2012.01.040 Cucek L, 2011, CHEM ENGINEER TRANS, V25, P575, DOI 10.3303/CET1125096 Dansereau LP, 2014, COMPUT CHEM ENG, V63, P34, DOI 10.1016/j.compchemeng.2013.12.006 Deb IC, 2005, SEARCH METHODOLOGIES, P273, DOI DOI 10.1007/0-387-28356-0_10 EPA, 2007, BIOM COMB HEAT POW C Santibanez-Aguilar JE, 2014, J CLEAN PROD, V65, P270, DOI 10.1016/j.jclepro.2013.08.004 Santibanez-Aguilar JE, 2011, IND ENG CHEM RES, V50, P8558, DOI 10.1021/ie102195g Feijoo F, 2014, APPL ENERG, V119, P371, DOI 10.1016/j.apenergy.2014.01.019 FPAC, 2011, 2 FPAC Giarola S, 2013, BIOMASS BIOENERG, V58, P31, DOI 10.1016/j.biombioe.2013.08.005 Giarola S, 2011, COMPUT CHEM ENG, V35, P1782, DOI 10.1016/j.compchemeng.2011.01.020 Gold S, 2011, J CLEAN PROD, V19, P32, DOI 10.1016/j.jclepro.2010.08.009 HAIMES YY, 1971, IEEE T SYST MAN CYB, VSMC1, P296 Iakovou E, 2010, WASTE MANAGE, V30, P1860, DOI 10.1016/j.wasman.2010.02.030 Johnson L, 2012, FOREST PROD J, V62, P258 Kanzian C, 2013, BIOMASS BIOENERG, V58, P294, DOI 10.1016/j.biombioe.2013.10.009 Kehbila AT, 2010, THESIS Korber D, 1998, CAN J FOREST RES, V28, P1380, DOI 10.1139/cjfr-28-9-1380 Liu ZX, 2014, APPL ENERG, V126, P221, DOI 10.1016/j.apenergy.2014.04.001 Mafakheri F, 2014, ENERG POLICY, V67, P116, DOI 10.1016/j.enpol.2013.11.071 Martinez-Hernandez E, 2014, J CLEAN PROD, V74, P74, DOI 10.1016/j.jclepro.2014.03.051 Mavrotas G, 2009, APPL MATH COMPUT, V213, P455, DOI 10.1016/j.amc.2009.03.037 Ministry of Advanced Education and Labour Market Development, 2009, BRIT COL LAB MARK CH Ministry of Forests, 2012, MID TERM TIMB SUPPL Mota B, 2015, J CLEAN PROD, V105, P14, DOI 10.1016/j.jclepro.2014.07.052 Murray G., 2010, LILLOOET BIOMASS ENE Naimi L, 2009, 2009 ASABE ANN INT M Natural Resources Canada, 2015, FOR BIOEC BIOEN BIOP Natural Resources Canada, 2016, FOR STAT DAT FOR IND Natural Resources Canada, 2016, OV CAN FOR IND Patriquin MN, 2007, FOREST POLICY ECON, V9, P938, DOI 10.1016/j.forpol.2006.08.002 Perez-Fortes M, 2014, CHEM ENG RES DES, V92, P1539, DOI 10.1016/j.cherd.2014.01.004 [R.A. Malatest & Associates Ltd LMI Insight], 2013, BRIT COL FOR SECT LA Rogers JG, 2012, BIOMASS BIOENERG, V36, P208, DOI 10.1016/j.biombioe.2011.10.028 Shabani N, 2013, RENEW SUST ENERG REV, V23, P299, DOI 10.1016/j.rser.2013.03.005 Sharma B, 2013, RENEW SUST ENERG REV, V24, P608, DOI 10.1016/j.rser.2013.03.049 Sims R. E. H., 2003, Mitigation and Adaptation Strategies for Global Change, V8, P349, DOI 10.1023/B:MITI.0000005614.51405.ce Statistics Canada, 2015, EARN AV WEEKLY IND Sultana A, 2010, BIORESOURCE TECHNOL, V101, P5609, DOI 10.1016/j.biortech.2010.02.011 Thornley P, 2008, RENEW ENERG, V33, P1922, DOI 10.1016/j.renene.2007.11.011 Thornley P, 2014, ENVIRON SCI POLICY, V37, P255, DOI 10.1016/j.envsci.2013.09.004 Waito B., 2010, NATL SCAN REGULATION You FQ, 2012, AICHE J, V58, P1157, DOI 10.1002/aic.12637 You FQ, 2011, IND ENG CHEM RES, V50, P10102, DOI 10.1021/ie200850t Yue DJ, 2014, COMPUT CHEM ENG, V66, P36, DOI 10.1016/j.compchemeng.2013.11.016 Yue DJ, 2014, IND ENG CHEM RES, V53, P4008, DOI 10.1021/ie403882v Zamboni A, 2009, ENERG FUEL, V23, P5134, DOI 10.1021/ef9004779 NR 61 TC 26 Z9 26 U1 3 U2 54 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0306-2619 EI 1872-9118 J9 APPL ENERG JI Appl. Energy PD SEP 15 PY 2016 VL 178 BP 721 EP 735 DI 10.1016/j.apenergy.2016.06.079 PG 15 WC Energy & Fuels; Engineering, Chemical SC Energy & Fuels; Engineering GA DU6QW UT WOS:000382340700058 DA 2019-04-09 ER PT J AU Mazziotta, A Pouzols, FM Monkkonen, M Kotiaho, JS Strandman, H Moilanen, A AF Mazziotta, Adriano Pouzols, Federico Montesino Monkkonen, Mikko Kotiaho, Janne S. Strandman, Harri Moilanen, Atte TI Optimal conservation resource allocation under variable economic and ecological time discounting rates in boreal forest SO JOURNAL OF ENVIRONMENTAL MANAGEMENT LA English DT Article DE Clear-cut; Complementarity; Conservation planning; Forest management; Habitat restoration; RobOff software ID SUSTAIN BIODIVERSITY; MANAGEMENT; WOOD; CONNECTIVITY; NATURALNESS; DIVERSITY; INCREASE; RETURNS AB Resource allocation to multiple alternative conservation actions is a complex task. A common trade-off occurs between protection of smaller, expensive, high-quality areas versus larger, cheaper, partially degraded areas. We investigate optimal allocation into three actions in boreal forest: current standard forest management rules, setting aside of mature stands, or setting aside of clear-cuts. We first estimated how habitat availability for focal indicator species and economic returns from timber harvesting develop through time as a function of forest type and action chosen. We then developed an optimal resource allocation by accounting for budget size and habitat availability of indicator species in different forest types. We also accounted for the perspective adopted towards sustainability, modeled via temporal preference and economic and ecological time discounting. Controversially, we found that in boreal forest set-aside followed by protection of clear-cuts can become a winning cost-effective strategy when accounting for habitat requirements of multiple species, long planning horizon, and limited budget. It is particularly effective when adopting a long-term sustainability perspective, and accounting for present revenues from timber harvesting. The present analysis assesses the cost-effective conditions to allocate resources into an inexpensive conservation strategy that nevertheless has potential to produce high ecological values, in the future. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Mazziotta, Adriano] Univ Copenhagen, Nat Hist Museum Denmark, Ctr Macroecol Evolut & Climate, Univ Pk 15,Bldg 3, DK-2100 Copenhagen, Denmark. [Mazziotta, Adriano; Monkkonen, Mikko; Kotiaho, Janne S.] Univ Jyvaskyla, Dept Biol & Environm Sci, Jyvaskyla, Finland. [Pouzols, Federico Montesino; Moilanen, Atte] Univ Helsinki, Dept Biosci, Helsinki, Finland. [Pouzols, Federico Montesino] Sci & Technol Facil Council, Rutherford Appleton Lab, Harwell Oxford Campus, Didcot, Oxon, England. [Strandman, Harri] Univ Eastern Finland, Sch Forest Sci, Joensuu, Finland. RP Mazziotta, A (reprint author), Univ Copenhagen, Nat Hist Museum Denmark, Ctr Macroecol Evolut & Climate, Univ Pk 15,Bldg 3, DK-2100 Copenhagen, Denmark. EM adriano.mazziotta@snm.ku.dk RI Mazziotta, Adriano/C-1538-2018; Moilanen, Atte/A-5005-2011; publicationpage, cmec/B-4405-2017 OI Mazziotta, Adriano/0000-0003-2088-3798; Kotiaho, Janne/0000-0002-4732-784X; Montesino Pouzols, Federico/0000-0002-2981-5612; Monkkonen, Mikko/0000-0001-8897-3314 FU ERC [260393]; Academy of Finland [138032] FX A.Mo. and F.M.P. thank the ERC-StG project GEDA (grant 260393). A.Ma. and M.M. thank the Academy of Finland (project 138032) for financial support. We thank Metla, the Finnish Forest Research Institute, for the perusal of the sub-sample of data on from the 9th National Forest Inventory. Furthermore, we gratefully acknowledge Prof. S. Kellomaki (School of Forest Sciences, University of Eastern Finland) for further development of SIMA model and instructions given for its use, which were needed for implementation of this research work. CR Boardman A, 2006, COST BENEFIT ANAL CO Brumelis G, 2011, SILVA FENN, V45, P807, DOI 10.14214/sf.446 CAJANDER A. K., 1949, ACTA FOREST FENNICA, V56, P1 Child MF, 2011, ENVIRON VALUE, V20, P527, DOI 10.3197/096327111X13150367351339 Davidson MD, 2014, ECOL ECON, V105, P40, DOI 10.1016/j.ecolecon.2014.05.018 Erajaa S, 2010, SILVA FENN, V44, P203, DOI 10.14214/sf.150 Finnish Forest Research Institute, 2010, FINNISH STAT YB FORE Fuller RA, 2007, BIOLOGY LETT, V3, P390, DOI 10.1098/rsbl.2007.0149 Gollier C, 2010, J ECON THEORY, V145, P812, DOI 10.1016/j.jet.2009.10.001 Green L, 2004, PSYCHOL BULL, V130, P769, DOI 10.1037/0033-2909.130.5.769 Grege-Staltmane E, 2010, BALT FOR, V16, P303 Gueant O, 2012, J PUBLIC ECON THEORY, V14, P245, DOI 10.1111/j.1467-9779.2011.01541.x Hjalten J, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041100 Hodgson JA, 2011, J APPL ECOL, V48, P148, DOI 10.1111/j.1365-2664.2010.01919.x Hodgson JA, 2009, J APPL ECOL, V46, P964, DOI 10.1111/j.1365-2664.2009.01695.x Hoel M, 2007, CLIMATIC CHANGE, V84, P265, DOI [10.1007/s10584-007-9255-2, 10.1007/S10584-007-9255-2] Junninen K, 2006, ECOGRAPHY, V29, P75, DOI 10.1111/j.2005.0906-7590.04358.x Kellomaki Seppo, 1992, Silva Fennica, V26, P1 Kula E, 2011, ENVIRON IMPACT ASSES, V31, P180, DOI 10.1016/j.eiar.2010.06.001 Kuuluvainen T, 2012, AMBIO, V41, P720, DOI 10.1007/s13280-012-0289-y Kuussaari M, 2009, TRENDS ECOL EVOL, V24, P564, DOI 10.1016/j.tree.2009.04.011 Ladle RJ, 2009, PUBLIC UNDERST SCI, V18, P229, DOI 10.1177/0963662507082893 Laibson D, 1997, Q J ECON, V112, P443, DOI 10.1162/003355397555253 Lundstrom J, 2011, J APPL ECOL, V48, P133, DOI 10.1111/j.1365-2664.2010.01897.x Ministry of the Environment, 2008, ET SUOM METS MON TOI Moilanen A, 2009, RESTOR ECOL, V17, P470, DOI 10.1111/j.1526-100X.2008.00382.x Monkkonen M, 2014, J ENVIRON MANAGE, V134, P80, DOI 10.1016/j.jenvman.2013.12.021 Monkkonen M, 2011, EUR J FOREST RES, V130, P717, DOI 10.1007/s10342-010-0461-5 Overton JM, 2013, AMBIO, V42, P100, DOI 10.1007/s13280-012-0342-x Philibert C., 2003, DISCOUNTING FUTURE I Polasky S, 2008, BIOL CONSERV, V141, P1505, DOI 10.1016/j.biocon.2008.03.022 Pouzols FM, 2013, METHODS ECOL EVOL, V4, P426, DOI 10.1111/2041-210X.12040 Pouzols FM, 2012, BIOL CONSERV, V153, P41, DOI 10.1016/j.biocon.2012.05.014 Pykala J, 2004, APPL VEG SCI, V7, P29, DOI 10.1658/1402-2001(2004)007[0029:IIIPSR]2.0.CO;2 Rosenzweig M. L., 1995, SPECIES DIVERSITY SP, P436 Rudolphi J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0018639 Selonen VAO, 2005, SCAND J FOREST RES, V20, P49, DOI 10.1080/14004080510041002 Siitonen Juha, 2001, Ecological Bulletins, V49, P11 Snall T, 2004, ECOGRAPHY, V27, P757, DOI 10.1111/j.0906-7590.2004.04026.x Swanson ME, 2011, FRONT ECOL ENVIRON, V9, P117, DOI 10.1890/090157 Thorpe HC, 2010, ECOL MODEL, V221, P256, DOI 10.1016/j.ecolmodel.2009.10.005 Tikkanen OP, 2006, ANN ZOOL FENN, V43, P373 NR 42 TC 5 Z9 6 U1 3 U2 30 PU ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD PI LONDON PA 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND SN 0301-4797 EI 1095-8630 J9 J ENVIRON MANAGE JI J. Environ. Manage. PD SEP 15 PY 2016 VL 180 BP 366 EP 374 DI 10.1016/j.jenvman.2016.05.057 PG 9 WC Environmental Sciences SC Environmental Sciences & Ecology GA DS1XO UT WOS:000380418700039 PM 27262031 DA 2019-04-09 ER PT J AU Glover, D Hernandez, K Rhydderch, A AF Glover, Dominic Hernandez, Kevin Rhydderch, Alun TI A Foresight Scenario Method for Thinking About Complex Sustainable Development Interactions SO IDS BULLETIN-INSTITUTE OF DEVELOPMENT STUDIES LA English DT Article DE foresight; scenarios; sustainable development goals; SDGs; trilemma AB In this article, we describe an innovative foresight approach, which we used to examine the interactions among three themes that are likely to be significant for international development policy and strategy in the coming decades. We adapted existing foresight scenario methods (drivers of change analysis, scenarios, wind-tunnelling) to investigate possible trade-offs, tensions and synergies that may exist among competing international development goals of reducing inequalities, accelerating sustainability and building more inclusive and secure societies. Our method combined foresight methods with programme theory analysis, an approach commonly used in impact evaluation. We describe our approach in detail and discuss its strengths and weaknesses. C1 [Glover, Dominic] ESRC, Social Technol & Environm Pathways Sustainabil ST, Swindon, Wilts, England. RP Glover, D (reprint author), ESRC, Social Technol & Environm Pathways Sustainabil ST, Swindon, Wilts, England. RI Glover, Dominic/F-2365-2010 OI Glover, Dominic/0000-0003-2055-1996 CR Bingley K., 2014, 94 IDS Funnell S. C., 2011, PURPOSEFUL PROGRAM T Heinzen B., 2004, DEVELOPMENT, V47, P4, DOI [10.1057/palgrave.development.1100097, DOI 10.1057/PALGRAVE.DEVELOPMENT.1100097] HM Government, 2014, FUT TOOLK TOOLS STRA IDS, 2015, ENG EXC GLOB DEV STR Justino P., 2015, 144 IDS Luckham R, 2015, 151 IDS Rhydderch A., 2009, SCENARIO PLANNING GU Royal Dutch/Shell Group, 2005, SHELL GLOB SCEN 2025 Schmitz H., 2015, 152 IDS Wright G, 2013, TECHNOL FORECAST SOC, V80, P561, DOI 10.1016/j.techfore.2012.11.011 NR 11 TC 0 Z9 0 U1 0 U2 3 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0265-5012 EI 1759-5436 J9 IDS BULL-I DEV STUD JI IDS Bull.-Inst. Dev. Stud. PD SEP PY 2016 VL 47 IS 4 BP 55 EP 70 DI 10.19088/1968-2016.155 PG 16 WC Area Studies; Development Studies SC Area Studies; Development Studies GA EJ2MI UT WOS:000393043900005 OA Green Published, Other Gold DA 2019-04-09 ER PT J AU Daley, J Wood, D AF Daley, John Wood, Danielle TI Fiscal Challenges for Australia: The Next Decade and Beyond SO ASIA & THE PACIFIC POLICY STUDIES LA English DT Article DE economic policy; fiscal policy; fiscal projections; state budgets; Australia AB In Australia, both the Commonwealth and state governments are running substantial budget deficits, and future challenges are likely to make these problems worse. This paper presents the key challenges facing these budgets. Falling terms of trade and lower nominal economic growth will drag on government revenues. Spending in health and infrastructure has grown faster than GDP. State government revenues are also affected by Commonwealth decisions to reduce grants to them. We also show how the government's short-term and medium-term projections rely on overly-optimistic assumptions about organic revenue growth and spending restraint. As such, a drift back to surplus is unlikely and restoring budget sustainability will require Australian governments to make more politically difficult decisions. While containing spending is important, both the politics of budget repair and the sheer size of the budget gap means that they will not be able to bring their budgets to balance without also boosting revenues. C1 [Daley, John; Wood, Danielle] Grattan Inst, Carlton, Vic 3053, Australia. RP Daley, J (reprint author), Grattan Inst, Carlton, Vic 3053, Australia. EM john.daley@grattan.edu.au CR [Anonymous], 2012, OECD EC SURV Australian Bureau of Statistics (ABS), 2014, AUSTR DEM STAT Cowen T, 2011, THE GREAT STAGNATION Daley J., 2014, WEALTH GENERATIONS Daley J, 2014, BUDGET PRESSURES AUS Gordon R. J., 2012, IS US EC GROWTH FALT Hockey J. B, 2015, 2015 INTERGENERATION Infrastructure Australia, 2015, AUSTR INFR AUD Kelly J.-F, 2015, CITY LIMITS WHY AUST Minifie J., 2013, MINING BOOM IMPACTS OECD, 2012, VAL MON GOV AUSTR 20 [Productivity Commission Australian Government Productivity Commission], 2014, PC PROD UPD Productivity Commission, 2013, AG AUSTR PREP FUT PR Roxburgh Charles, 2011, DEBT DELEVERAGING GL Saunders P, 2011, ECON LABOUR RELAT RE, V22, P7, DOI 10.1177/103530461102200302 NR 43 TC 0 Z9 0 U1 0 U2 1 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN, NJ 07030 USA SN 2050-2680 J9 ASIA PAC POLICY STU JI Asia Pac. Policy Stud. PD SEP PY 2016 VL 3 IS 3 BP 475 EP 494 DI 10.1002/app5.146 PG 20 WC Area Studies SC Area Studies GA EG3EO UT WOS:000390926800010 OA DOAJ Gold DA 2019-04-09 ER PT J AU Ferguson, P AF Ferguson, Peter TI Productivity growth as a barrier to a sustainability transition SO ENVIRONMENTAL INNOVATION AND SOCIETAL TRANSITIONS LA English DT Article DE Baking industry; Employment; Multifactor productivity; Labour productivity; Productivity trap; Sustainability transitions ID POLICIES; TRADE AB The need for strong productivity growth is a prominent feature of economic policy debates in Australia. Using the productivity trap concept, this viewpoint explores how in some circumstances the pursuit of productivity growth is a barrier to effective sustainability transitions. This is illustrated by a case study of the Australian baking industry, where the increased market share of small-scale artisan bakers vis-vis industrial bakers has recently led to an overall decline in productivity across the baking sector. Although artisan bakers produce more nutritious products and have the potential to significantly increase the energy efficiency of their operations, their labour productivity is half that of their industrial counterparts. Whilst this is good for employment, public health and the environment, artisan bakers have been denigrated as a 'drain on productivity'. This case study illustrates the potential role of low-productivity goods and services in a sustainability transition in Australia and other developed countries. (C) 2015 Elsevier B.V. All rights reserved. C1 [Ferguson, Peter] Deakin Univ, Sch Humanities & Social Sci, 221 Burwood Highway, Burwood, Vic 3125, Australia. RP Ferguson, P (reprint author), Deakin Univ, Sch Humanities & Social Sci, 221 Burwood Highway, Burwood, Vic 3125, Australia. EM peter.ferguson@deakin.edu.au CR [Anonymous], 2014, PROD UPD Australian Bureau of Statistics (ABS), 2014, 6202 0 LAB FORC AUST Australian Bureau of Statistics (ABS), 2014, 6291 0 55 003 LAB FO Australian Bureau of Statistics (ABS), 2013, 5206 0 AUSTR NAT ACC Australian Bureau of Statistics (ABS), 2013, 5204 0 AUSTR SYST NA CCA, 2013, AN EL CONS EL GEN EM Department of Agriculture Fisheries Forestry (DAFF), 2003, AUSTR BAK IND PROF Department of Agriculture Fisheries Forestry (DAFF), 2003, AUSTR FOOD STAT Department of Industry Science Resources (DISR), 2003, ACH RES BREAD BAK SE Department of Industry Science Resources (DISR), 2001, GOOD EN PRACT GUID I Jackson T, 2011, ENVIRON INNOV SOC TR, V1, P101, DOI 10.1016/j.eist.2011.04.005 Kumar S, 2006, ECOL ECON, V56, P280, DOI 10.1016/j.ecolecon.2005.02.004 Lawn P, 2006, CURR ISS ECOL ECON, P139 Lowe M, 2014, AUST NZ J PUBL HEAL, V38, P19, DOI 10.1111/1753-6405.12150 Mazzanti M, 2009, ECOL ECON, V68, P1182, DOI 10.1016/j.ecolecon.2008.08.009 National Baking Industry Association (NBIA), 2011, PROD COMM INQ UNPUB OECD, 2015, FUT PROD Office for National Statistics (ONS), 2015, LAB PROD Q4 2014 Office for National Statistics (ONS), 2014, LAB MARK STAT JUN 20 Oh DH, 2010, ENERG ECON, V32, P146, DOI 10.1016/j.eneco.2009.07.006 Pasinetti L. L., 1981, STRUCTURAL CHANGE EC Saunders H. D., 2010, HIST EVIDENCE ENERGY Spangenberg JH, 2004, SUSTAIN DEV, V12, P74, DOI 10.1002/sd.229 Suri V, 1998, ECOL ECON, V25, P195, DOI 10.1016/S0921-8009(97)00180-8 Tamiotti L., 2009, TRADE CLIMATE CHANGE Trading Economics, 2015, PROD EMPL DAT US GER Tucker AJ, 2010, NUTR METAB, V7, DOI 10.1186/1743-7075-7-37 US Energy Information Administration (USIEA), 2015, INT EN STAT NR 28 TC 1 Z9 1 U1 1 U2 5 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2210-4224 EI 2210-4232 J9 ENVIRON INNOV SOC TR JI Environ. Innov. Soc. Trans. PD SEP PY 2016 VL 20 BP 86 EP 88 DI 10.1016/j.eist.2015.10.003 PG 3 WC Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA EC4PH UT WOS:000388115000007 DA 2019-04-09 ER PT J AU Ozanne, LK Phipps, M Weaver, T Carrington, M Luchs, M Catlin, J Gupta, S Santos, N Scott, K Williams, J AF Ozanne, Lucie K. Phipps, Marcus Weaver, Todd Carrington, Michal Luchs, Michael Catlin, Jesse Gupta, Shipra Santos, Nicholas Scott, Kristin Williams, Jerome TI Managing the Tensions at the [Intersection of the Triple Bottom Line: A Paradox Theory Approach to Sustainabillity Management SO JOURNAL OF PUBLIC POLICY & MARKETING LA English DT Article DE triple bottom line; corporate sustainability; paradox theory; environment; social justice ID TRADE-OFFS; CORPORATE SUSTAINABILITY; ORGANIZATIONAL-CHANGE; EXPLORING PARADOX; PERFORMANCE; CHALLENGES; CONSUMPTION; SENSEMAKING; COMPLEXITY; INNOVATION AB Corporate sustainability management encompasses multiple dimensions: environmental, social, and economic. Companies are increasingly evaluated within the public sphere, and within their own organizations, according to the degree to which they are perceived to simultaneously promote this nexus of virtues. This article seeks to explore the tensions frequently faced by organizations that strive to manage these dimensions and the role of public policy in that pursuit. A multiple case study approach is utilized in which the authors selected case organizations according to whether they were attempting to manage the three dimensions of sustainability. The authors utilize paradox theory and a typology provided by previous research to understand the nature of the tensions that emerge in the selected case study organizations. They extend this previous work by examining the role of public policy in providing the situational conditions to make these paradoxical tensions salient, and they examine organizational responses to these conditions. Directions for firms, policy makers, and future researchers are provided on the basis of this study's findings. C1 [Ozanne, Lucie K.] Univ Canterbury, Mkt, Christchurch, New Zealand. [Phipps, Marcus; Carrington, Michal] Univ Melbourne, Mkt, Melbourne, Vic 3010, Australia. [Weaver, Todd] Point Univ, Business, W Point, GA USA. [Luchs, Michael] Coll William & Mary, Mason Sch Business, Mkt, Williamsburg, VA 23187 USA. [Catlin, Jesse] Calif State Univ Sacramento, Mkt, Sacramento, CA 95819 USA. [Gupta, Shipra] Univ Illinois, Business Adm, Springfield, IL 62703 USA. [Santos, Nicholas] Marquette Univ, Coll Business, Mkt, Milwaukee, WI 53233 USA. [Scott, Kristin] Minnesota State Univ, Mkt & Int Business, Mankato, MN USA. [Williams, Jerome] Rutgers Univ Newark, Newark, NJ USA. RP Ozanne, LK (reprint author), Univ Canterbury, Mkt, Christchurch, New Zealand. EM lucie.ozanne@canterbury.ac.nz; mphipps@unimelb.edu.au; todd.weaver@point.edu; michal.carrington@unimelb.edu.au; Michael.Luchs@mason.wm.edu; jesse.catlin@csus.edu; shipra.gupta@uis.edu; nicholas.santos@marquette.edu; kristin.scott@mnsu.edu; jeromew@rutgers.edu OI Phipps, Marcus/0000-0002-6754-7364; Luchs, Michael/0000-0001-9015-5695 CR Andriopoulos C, 2009, ORGAN SCI, V20, P696, DOI 10.1287/orsc.1080.0406 Angus-Leppan T, 2010, BUS STRATEG ENVIRON, V19, P230, DOI 10.1002/bse.675 Arnould EJ, 2009, J PUBLIC POLICY MARK, V28, P186, DOI 10.1509/jppm.28.2.186 Bansal P, 2005, STRATEGIC MANAGE J, V26, P197, DOI 10.1002/smj.441 Chhabra E., 2014, FORBES d.light, 2016, SOC IMP DeFillippi R, 2009, J MEDIA BUS STUD, V6, P5, DOI 10.1080/16522354.2009.11073493 Delmas M, 2010, BUS STRATEG ENVIRON, V19, P245, DOI 10.1002/bse.676 DENISON DR, 1995, ORGAN SCI, V6, P524, DOI 10.1287/orsc.6.5.524 Eisenhardt KM, 2007, ACAD MANAGE J, V50, P25, DOI 10.5465/AMJ.2007.24160888 EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557 Elkington J., 2004, TRIPLE BOTTOM LINE D, P1, DOI DOI 10.1021/NL034968F Farr Christina, 2013, VENTUREBEAT 0524 Gao JJ, 2013, J BUS ETHICS, V112, P241, DOI 10.1007/s10551-012-1245-2 Gartry Laura, 2015, ABC NEWS Hahn T, 2015, J BUS ETHICS, V127, P297, DOI 10.1007/s10551-014-2047-5 Hahn T, 2011, J BUS ETHICS, V104, P325, DOI 10.1007/s10551-011-0911-0 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Hansmann R, 2012, INT J SUST DEV WORLD, V19, P451, DOI 10.1080/13504509.2012.696220 HART SL, 1995, ACAD MANAGE REV, V20, P986, DOI 10.2307/258963 Jarzabkowski P, 2013, STRATEG ORGAN, V11, P245, DOI 10.1177/1476127013481016 Jay J, 2013, ACAD MANAGE J, V56, P137, DOI 10.5465/amj.2010.0772 Kang C, 2016, J MARKETING, V80, P59, DOI 10.1509/jm.15.0324 Kiron D., 2015, JOINING FORCES COLLA Kiron D., 2013, RES REPORT Lewis MW, 2000, ACAD MANAGE REV, V25, P760, DOI 10.2307/259204 Luscher LS, 2008, ACAD MANAGE J, V51, P221, DOI 10.5465/AMJ.2008.31767217 Luscher LS, 2006, J ORGAN CHANGE MANAG, V19, P491, DOI 10.1108/09534810610676680 Macey R., 1991, STETSON L REV, V21, P23 Margolis JD, 2003, ADMIN SCI QUART, V48, P268, DOI 10.2307/3556659 Marianne Lavelle, 2015, DAILY CLIMATE 0421 Menguc B, 2005, J BUS RES, V58, P430, DOI 10.1016/j.jbusres.2003.09.002 Mish J, 2010, J PUBLIC POLICY MARK, V29, P12, DOI 10.1509/jppm.29.1.12 O'Driscoll A, 2008, J BUS IND MARK, V23, P95, DOI 10.1108/08858620810850209 Orlitzky M, 2003, ORGAN STUD, V24, P403, DOI 10.1177/0170840603024003910 Ozanne JL, 2008, J CONSUM RES, V35, P423, DOI 10.1086/586911 Parsell C, 2013, INT J SOC WELF, V22, P186, DOI 10.1111/j.1468-2397.2012.00884.x Patton M. Q., 1990, QUALITATIVE EVALUATI Phipps M, 2013, J BUS RES, V66, P1227, DOI 10.1016/j.jbusres.2012.08.016 POOLE MS, 1989, ACAD MANAGE REV, V14, P562, DOI 10.2307/258559 PORTER ME, 1995, J ECON PERSPECT, V9, P97, DOI 10.1257/jep.9.4.97 Press M, 2009, J PUBLIC POLICY MARK, V28, P102, DOI 10.1509/jppm.28.1.102 Raisch Sebastian, 2008, J MANAGEMENT, V34, P375 Salzmann O., 2005, European Management Journal, V23, P27, DOI 10.1016/j.emj.2004.12.007 Scherer AG, 2013, J MANAGE STUD, V50, P259, DOI 10.1111/joms.12014 Scott L, 2011, J PUBLIC POLICY MARK, V30, P39, DOI 10.1509/jppm.30.1.39 Sen S, 2001, J MARKETING RES, V38, P225, DOI 10.1509/jmkr.38.2.225.18838 Simpson BJK, 2014, EUR J MARKETING, V48, P1046, DOI 10.1108/EJM-04-2012-0219 Slawinski N, 2015, ORGAN SCI, V26, P531, DOI 10.1287/orsc.2014.0960 Smith WK, 2013, BUS ETHICS Q, V23, P407, DOI 10.5840/beq201323327 Smith WK, 2011, ACAD MANAGE REV, V36, P381, DOI 10.5465/AMR.2011.59330958 Smith WK, 2010, LONG RANGE PLANN, V43, P448, DOI 10.1016/j.lrp.2009.12.003 Van der Byl CA, 2015, ORGAN ENVIRON, V28, P54, DOI 10.1177/1086026615575047 van Marrewijk M, 2003, J BUS ETHICS, V44, P95, DOI 10.1023/A:1023331212247 Weerawardena J, 2012, J PUBLIC POLICY MARK, V31, P91, DOI 10.1509/jppm.11.034 World Commission on Environment and Development, 1987, OUR COMMON FUTURE World Economic Forum, 2016, NEW MOD ENTR REP Wright C, 2012, ORGAN STUD, V33, P1451, DOI 10.1177/0170840612463316 Yin R. K., 2013, CASE STUDY RES DESIG Zhang KM, 2008, J ENVIRON MANAGE, V88, P1249, DOI 10.1016/j.jenvman.2007.06.019 NR 60 TC 9 Z9 9 U1 5 U2 27 PU SAGE PUBLICATIONS INC PI THOUSAND OAKS PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA SN 0743-9156 EI 1547-7207 J9 J PUBLIC POLICY MARK JI J. Public Policy Mark. PD FAL PY 2016 VL 35 IS 2 BP 249 EP 261 DI 10.1509/jppm.15.143 PG 13 WC Business SC Business & Economics GA EC3VM UT WOS:000388054900008 DA 2019-04-09 ER PT J AU Russo, V Di Paola, L Piemonte, V Basile, A De Falco, M Giuliani, A AF Russo, Valentina Di Paola, Luisa Piemonte, Vincenzo Basile, Angelo De Falco, Marcello Giuliani, Alessandro TI Are biofuels sustainable? An LCA/multivariate perspective on feedstocks and processes SO ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING LA English DT Article DE biofuels; Life-Cycle-Assesment; multivariate statistics ID CYCLE; SYSTEMS; CHINA AB Liquid biofuels represent a valid option for traditional fossil liquid fuels, but their sustainability is still under enquiry. In this work, we merge the Life-Cycle-Assessment methods with the Multivariate Statistic Analysis (MVA), to define a general methodology to compare biofuels derived from different feedstocks and fossil fuels. We tried to assess in an unambiguous way whether the biofuels are more sustainable than liquid fuels, in terms of both emissions and depletion of non-renewable sources. Whereas first generation products present even higher environmental impacts than fossil fuels, which in turn rely on consolidated, optimized processes, whose environmental footprint and yields have been improved over the years. Our results trace a good sustainability profile for second generation biofuels, especially for biogas that seems to be the best trade-off both from a LCA perspective and as a single dimensionless score derived from the MVA. (c) 2016 Curtin University of Technology and John Wiley & Sons, Ltd. C1 [Di Paola, Luisa; Piemonte, Vincenzo; De Falco, Marcello] Univ Campus Biomed Rome, Via Alvaro del Portillo 21, I-00128 Rome, Italy. [Basile, Angelo] Univ Calabria, Italian Natl Res Council ITM CNR, Inst Membrane Technol, Via P BucciCubo 17-C, I-87036 Arcavacata Di Rende, Cs, Italy. [Giuliani, Alessandro] Ist Super Sanita, Environm & Hlth Dept, Viale Regina Elena 299, I-00161 Rome, Italy. [Russo, Valentina] Univ Cape Town, EBE Fac, Dept Chem Engn, E&PSE Grp, Rondebosch, South Africa. RP Di Paola, L (reprint author), Univ Campus Biomed Rome, Via Alvaro del Portillo 21, I-00128 Rome, Italy. EM l.dipaola@unicampus.it RI ; Giuliani, Alessandro/K-7589-2016 OI piemonte, vincenzo/0000-0002-2421-3938; Giuliani, Alessandro/0000-0002-4640-804X CR Ajanovic A, 2011, ENERGY, V36, P2070, DOI 10.1016/j.energy.2010.05.019 Azapagic A, 2014, TRENDS BIOTECHNOL, V32, P1, DOI 10.1016/j.tibtech.2013.10.009 Berni A, 2011, ATHEROSCLEROSIS, V216, P109, DOI 10.1016/j.atherosclerosis.2011.01.034 Bohringer C, 2007, ECOL ECON, V63, P1, DOI 10.1016/j.ecolecon.2007.03.008 Brennan L, 2010, RENEW SUST ENERG REV, V14, P557, DOI 10.1016/j.rser.2009.10.009 Davis SC, 2009, TRENDS PLANT SCI, V14, P140, DOI 10.1016/j.tplants.2008.12.006 Demirbas A, 2008, ENERG CONVERS MANAGE, V49, P2106, DOI 10.1016/j.enconman.2008.02.020 Demirbas A, 2007, PROG ENERG COMBUST, V33, P1, DOI 10.1016/j.pecs.2006.06.001 Finkbeiner Matthias, 2010, Sustainability, V2, P3309, DOI 10.3390/su2103309 Gironi F, 2011, ENVIRON PROG SUSTAIN, V30, P459, DOI 10.1002/ep.10490 Goedkoop M, 2001, ASSESSMENT, V144, P352, DOI [10.1007/BF02979347, DOI 10.1007/BF02979347] Halog A, 2011, SUSTAINABILITY-BASEL, V3, P469, DOI 10.3390/su3020469 Hofstetter P, 2000, J IND ECOL, V3, P97, DOI [10.1162/108819899569584, DOI 10.1162/108819899569584] ISO Institute, 2006, ENV MAN LIF CYCL ASS Kloepffer W, 2008, INT J LIFE CYCLE ASS, V13, P89, DOI 10.1065/lca2008.02.376 LEWI PJ, 1982, MULTIVARIATE DATA AN Mangoyana RB, 2013, RENEW SUST ENERG REV, V25, P371, DOI 10.1016/j.rser.2013.05.003 Piemonte V, 2011, SOL ENERGY, V85, P1101, DOI 10.1016/j.solener.2011.03.002 Ren JZ, 2015, INT J LIFE CYCLE ASS, V20, P842, DOI 10.1007/s11367-015-0877-8 Ren JZ, 2014, BIORESOURCE TECHNOL, V162, P1, DOI 10.1016/j.biortech.2014.03.105 Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 Lora EES, 2011, ENERGY, V36, P2097, DOI 10.1016/j.energy.2010.06.012 Solomon BD, 2010, ANN NY ACAD SCI, V1185, P119, DOI 10.1111/j.1749-6632.2009.05279.x Terlizzi A, 2005, MAR ECOL PROG SER, V289, P27, DOI 10.3354/meps289027 uek L, 2012, J CLEAN PROD, V34, P9 NR 25 TC 1 Z9 1 U1 6 U2 27 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1932-2135 EI 1932-2143 J9 ASIA-PAC J CHEM ENG JI Asia-Pac. J. Chem. Eng. PD SEP-OCT PY 2016 VL 11 IS 5 BP 650 EP 663 DI 10.1002/apj.1991 PG 14 WC Engineering, Chemical SC Engineering GA DZ2GB UT WOS:000385659200001 DA 2019-04-09 ER PT J AU Lassaletta, L Billen, G Garnier, J Bouwman, L Velazquez, E Mueller, ND Gerber, JS AF Lassaletta, Luis Billen, Gilles Garnier, Josette Bouwman, Lex Velazquez, Eduardo Mueller, Nathaniel D. Gerber, James S. TI Nitrogen use in the global food system: past trends and future trajectories of agronomic performance, pollution, trade, and dietary demand SO ENVIRONMENTAL RESEARCH LETTERS LA English DT Article DE world agro-food system; nitrogen use efficiency; past trends and scenarios; international trade; protein; human diet; cropping and livestock systems ID GREENHOUSE-GAS EMISSIONS; INTERNATIONAL-TRADE; AGROFOOD SYSTEM; LAND; WORLD; REQUIREMENTS; AGRICULTURE; IMBALANCES; CROPLANDS; SECURITY AB Nitrogen (N) limits crop and grass production, and it is an essential component of dietary proteins. However, N is mobile in the soil-plant system and can be lost to the environment. Estimates of N flows provide a critical tool for understanding and improving the sustainability and equity of the global food system. This letter describes an integrated analysis of changes in N in human diets, N use efficiency (NUE) of cropping and livestock systems, N pollution and N in traded food and feed products for 12 world regions for the period 1960-2050. The largest absolute change in consumption of animal proteins during the period 1960-2009 is seen in China, while the largest share of animal protein per capita is currently observed in North America, Europe and Oceania. Due to the substantial growth of the livestock sector, about three quarters of contemporary global crop production (expressed in protein and including fodder crops and bioenergy byproducts) is allocated to livestock. Trends and levels of NUE and N surpluses in crop production are also diverse, as some regions show soil N depletion (developing regions, e.g. Africa), improving efficiency (industrialized regions, e.g. USA and Europe) and excessive N use (e.g. China, India). Global trade between the 12 regions has increased by a factor of 7.5 for vegetable proteins and by a factor of 10 for animal proteins. The scenarios for 2050 demonstrate that it would be possible to feed the global population in 2050 with moderate animal protein consumption but with much less N pollution, and less international trade than today. In such a scenario, optimal allocation of N inputs among regions to maximize NUE would further decrease pollution, but would require increased levels of N trade comparable to those in a BAU scenario. C1 [Lassaletta, Luis; Bouwman, Lex] PBL Netherlands Environm Assessment Agcy, NL-3720 AH Bilthoven, Netherlands. [Lassaletta, Luis; Billen, Gilles; Garnier, Josette] UPMC, CNRS, UMR Metis, 4 Pl Jussieu, F-75005 Paris, France. [Bouwman, Lex] Univ Utrecht, Fac Geosci, Dept Earth Sci Geochem, POB 80021, NL-3508 TA Utrecht, Netherlands. [Velazquez, Eduardo] UFZ, Helmholtz Ctr Environm Res, Dept Ecol Modelling, Permoserstr 15, D-04318 Leipzig, Germany. [Velazquez, Eduardo] Univ Magallanes, Ctr Univ Coyhaique, Dept Biol, Jose Miguel Carrera 485, Coyhaique, Chile. [Mueller, Nathaniel D.] Harvard Univ, Dept Earth & Planetary Sci, 20 Oxford St, Cambridge, MA 02138 USA. [Mueller, Nathaniel D.] Harvard Univ, Dept Organism & Evolutionary Biol, 16 Divin Ave, Cambridge, MA 02138 USA. [Gerber, James S.] Univ Minnesota, Inst Environm IonE, 325 LES,1954 Buford Ave, St Paul, MN 55108 USA. RP Lassaletta, L (reprint author), PBL Netherlands Environm Assessment Agcy, NL-3720 AH Bilthoven, Netherlands.; Lassaletta, L (reprint author), UPMC, CNRS, UMR Metis, 4 Pl Jussieu, F-75005 Paris, France. EM lassalet@bio.ucm.es RI Lassaletta, Luis/D-3894-2009; Bouwman, Lex/F-1444-2015 OI Lassaletta, Luis/0000-0001-9428-2149; Gerber, James/0000-0002-6890-0481; Bouwman, Lex/0000-0002-2045-1859 FU SeasERA EMoSEM project [ANR-12-SEAS-0005-01]; RESET SeineAval project [SA5]; USDA Agriculture and Food Research Initiative; Belmont Forum/FACCE-JPI - DEVIL project [NE/M02127/1] FX This study was partly supported by the SeasERA EMoSEM project (ANR-12-SEAS-0005-01) and the RESET SeineAval project (SA5). We wish to thank the FIRE (Federation Ile de France de Recherche en Environnement, CNRS and UPMC). Nathaniel D Mueller was supported by a postdoctoral fellowship from the USDA Agriculture and Food Research Initiative. James S Gerber received support from the Belmont Forum/FACCE-JPI funded DEVIL project (NE/M02127/1). We thank Javier Castrillo and Mizuki Ishikawa for helpful suggestions and comments. We also thank to the Scientific Network on GHG mitigation from the agroforestry sector in Spain (REMEDIA) for providing a space for discussion and science development. We are grateful to two anonymous reviewers for constructive comments and suggestions. CR Anglade J, 2015, ECOSPHERE, V6, DOI 10.1890/ES14-00353.1 Bai ZH, 2014, ENVIRON SCI TECHNOL, V48, P12742, DOI 10.1021/es502160v Billen G, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/025001 Billen G, 2014, GLOB FOOD SECUR-AGR, V3, P209, DOI 10.1016/j.gfc.2014.08.003 Billen G, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2013.0123 Bodirsky BL, 2012, BIOGEOSCIENCES, V9, P4169, DOI 10.5194/bg-9-4169-2012 Bodirsky BL, 2015, NATURE, V527, P40, DOI 10.1038/527040a Bodirsky BL, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4858 Bouwman A F, 2002, GLOB BIOGEOCHEM CY, V16 Bouwman AF, 1997, GLOBAL BIOGEOCHEM CY, V11, P561, DOI 10.1029/97GB02266 Bouwman AF, 2005, AGR SYST, V84, P121, DOI 10.1016/j.agsy.2004.05.006 Bouwman L, 2013, P NATL ACAD SCI USA, V110, P20882, DOI 10.1073/pnas.1012878108 Bouwman L, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044026 Burgess R, 2010, AM ECON REV, V100, P449, DOI 10.1257/aer.100.2.449 Cassidy ES, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034015 D'Odorico P, 2010, DOES GLOBALIZATION W, V37 Davis KF, 2015, SCI TOTAL ENVIRON, V538, P817, DOI 10.1016/j.scitotenv.2015.08.126 Davis KF, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/12/125013 de Ruiter H, 2016, J R SOC INTERFACE, V13, DOI 10.1098/rsif.2015.1001 Dentener F, 2006, GLOBAL BIOGEOCHEM CY, V20, DOI 10.1029/2005GB002672 Erb KH, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms11382 Fader M, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014046 FAO (Food and Agriculture Organization of the United Nations), 2012, FAOSTAT DAT COLL Fowler D, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2013.0164 Fry JP, 2016, ENVIRON INT, V91, P201, DOI 10.1016/j.envint.2016.02.022 Galloway JN, 2007, AMBIO, V36, P622, DOI 10.1579/0044-7447(2007)36[622:ITIMTT]2.0.CO;2 Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Gustavson J., 2011, GLOBAL FOOD LOSSES F Kastner T, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034015 Kastner T, 2012, P NATL ACAD SCI USA, V109, P6868, DOI 10.1073/pnas.1117054109 Lamb A, 2016, NAT CLIM CHANGE, V6, P488, DOI [10.1038/nclimate2910, 10.1038/NCLIMATE2910] Lassaletta L, 2016, MITIG ADAPT STRAT GL, V21, P975, DOI 10.1007/s11027-014-9569-0 Lassaletta L, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/105011 Lassaletta L, 2014, BIOGEOCHEMISTRY, V118, P225, DOI 10.1007/s10533-013-9923-4 Leip A, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/11/115004 Lotze-Campen H, 2008, AGR ECON-BLACKWELL, V39, P325, DOI 10.1111/j.1574-0862.2008.00336.x Lotze-Campen H, 2010, ECOL MODEL, V221, P2188, DOI 10.1016/j.ecolmodel.2009.10.002 MacDonald GK, 2015, BIOSCIENCE, V65, P275, DOI 10.1093/biosci/biu225 MacDonald GK, 2011, P NATL ACAD SCI USA, V108, P3086, DOI 10.1073/pnas.1010808108 Mueller ND, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/5/054002 Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420 Niedertscheider M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/1/014008 O'Neill BC, 2017, GLOBAL ENVIRON CHANG, V42, P169, DOI 10.1016/j.gloenvcha.2015.01.004 Oita A, 2016, NAT GEOSCI, V9, P111, DOI 10.1038/NGEO2635 PARIS Q, 1992, AGRON J, V84, P1040, DOI 10.2134/agronj1992.00021962008400060025x Porkka M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0082714 Rulli MC, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/6/064030 Schmitz C, 2012, GLOBAL ENVIRON CHANG, V22, P189, DOI 10.1016/j.gloenvcha.2011.09.013 Sobota DJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/025006 Stehfest E., 2014, MODEL DESCRIPTION PO Strokal M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/2/024014 Sutton M. A., 2013, CHALLENGE PRODUCE MO Suweis S, 2015, P NATL ACAD SCI USA, V112, P6902, DOI 10.1073/pnas.1507366112 Swaney DP, 2012, CURR OPIN ENV SUST, V4, P203, DOI 10.1016/j.cosust.2012.03.004 Tacon AGJ, 2008, AQUACULTURE, V285, P146, DOI 10.1016/j.aquaculture.2008.08.015 United Nations Department of Economic and Social Affairs Population Division, 2011, STESASERA313 UN DEP Valin H, 2014, AGR ECON-BLACKWELL, V45, P51, DOI 10.1111/agec.12089 van Grinsven HJM, 2015, J ENVIRON QUAL, V44, P356, DOI 10.2134/jeq2014.03.0102 Van Grinsven HJM, 2013, ENVIRON SCI TECHNOL, V47, P3571, DOI 10.1021/es303804g van Vuuren DP, 2017, GLOBAL ENVIRON CHANG, V42, P237, DOI 10.1016/j.gloenvcha.2016.05.008 Vitousek PM, 2009, SCIENCE, V324, P1519, DOI 10.1126/science.1170261 Westhoek H, 2015, EUROPEAN NITROGEN AS WHO, 2007, WHO TECH REP SER, V935, P1 Zhang X, 2015, NATURE, V528, P51, DOI 10.1038/nature15743 Zumkehr A, 2015, FRONT ECOL ENVIRON, V13, P244, DOI 10.1890/140246 NR 65 TC 25 Z9 25 U1 2 U2 55 PU IOP PUBLISHING LTD PI BRISTOL PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND SN 1748-9326 J9 ENVIRON RES LETT JI Environ. Res. Lett. PD SEP PY 2016 VL 11 IS 9 AR 095007 DI 10.1088/1748-9326/11/9/095007 PG 14 WC Environmental Sciences; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences GA DY8PW UT WOS:000385393300003 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Corvaglia, MA AF Corvaglia, Maria Anna TI Public Procurement and Private Standards: Ensuring Sustainability Under the WTO Agreement on Government Procurement SO JOURNAL OF INTERNATIONAL ECONOMIC LAW LA English DT Article ID WORLD-TRADE ORGANIZATION; RULES; RESPONSIBILITY; LABOR; RISE AB With the globalization of the supply chain around different countries, the effective implementation of social and environmental objectives in procurement practices becomes a crucial priority. For this reason, the inclusion in procurement practices of transnational private regulations (TPRs) such as standards, labelling, and certifications has drastically increased as an instrument of verification for environmental and social criteria. However, the use of these private initiatives is not immune from critics and concerns, in particular regarding its international legal implications. If standards and labels provide important information on the suppliers and guidance alongside the procurement process, their inclusion in the procurement documents has also the potential to generate distortive and discriminatory effects on international competition and market access dynamics, resulting in a barrier to trade. This article analyses the main international legal implications inside the World Trade Organization (WTO) regulatory framework of the use of private standards in public procurement. The inclusion of these voluntary initiatives will be analysed under the lens of the non-discriminatory principle framed in the Government Procurement Agreement (GPA) of the WTO, establishing a comparative analysis with the Agreement on Technical Barrier to Trade. C1 [Corvaglia, Maria Anna] Durham Law Sch, Durham, England. RP Corvaglia, MA (reprint author), Durham Law Sch, Durham, England. EM maria.a.corvaglia@gmail.com FU European Research Council under European Union - ERC [312304] FX Post Doctoral Research Fellow, Durham Law School, Email: maria.a.corvaglia@gmail.com. The research leading to this article has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) - ERC Grant Agreement no. 312304. I wish to thank Professor John Linarelli for his very insightful comments and the unanimous reviewers for their constructive feedback on an early draft of this article. CR Abbott Kenneth W., 2001, J EUROPEAN PUBLIC PO, V8, p[355, 345] Albano GL, 2006, HANDBOOK OF PROCUREMENT, P82, DOI 10.1017/CBO9780511492556.005 Alvarez Gabriela, 2012, DO PRIVATE STANDARDS Anderson Robert D., 2011, WTO REGIME GOVT PROC, P61 Anderson Robert D., 2012, GOVT CONTRACTOR, V54, P1 Anderson Robert D, 2012, PUBLIC PROCUREMENT L, V21, P83 Appleton Arthur E., 2005, WORLD TRADE ORG LEGA Arcuri A, 2013, RES HANDB WTO, P485 Arrowsmith S, 2009, SOCIAL AND ENVIRONMENTAL POLICIES IN EC PROCUREMENT LAW: NEW DIRECTIVES AND NEW DIRECTIONS, P108, DOI 10.1017/CBO9780511576041.006 Arrowsmith Sue, 2003, GOVT PROCUREMENT WTO, P160 Athukorala PC, 2003, WORLD ECON, V26, P1395, DOI 10.1046/j.1467-9701.2003.00576.x Barrientos S, 2007, THIRD WORLD Q, V28, P713, DOI 10.1080/01436590701336580 Bartley T, 2007, AM J SOCIOL, V113, P297, DOI 10.1086/518871 Blank Annet, 1996, PUBLIC PROCUREMENT L, V5, P77 Brammer S, 2011, INT J OPER PROD MAN, V31, P452, DOI 10.1108/01443571111119551 Cafaggi F, 2011, J LAW SOC, V38, P20, DOI 10.1111/j.1467-6478.2011.00533.x Cafaggi Fabrizio, 2014, COMP ANAL TRANSNATIO Caranta Roberto, 2015, SUSTAINABLE PUBLIC P, P99 Cashore Benjamin, 2002, GOVERNANCE, V15, P503 Charnovitz Steve, 2002, YALE J INT LAW, V27, P59 Christopher, 2007, BUYING SOCIAL JUSTIC Conrad C. R., 2011, PROCESSES PRODUCTION Corvaglia Maria Anna, 2017, PUBLIC PROCUREMENT L Curtin D, 2011, J LAW SOC, V38, P163, DOI 10.1111/j.1467-6478.2011.00539.x D'Hollander D, 2014, SUSTAIN ACCOUNT MANA, V5, P2, DOI 10.1108/SAMPJ-04-2013-0016 Dannenmaier Viola, 2012, GOOD PRACTICE SOCIAL EFTA, 2010, STAT PLAY FAIR TRAD Fox Tom, 2002, PUBLIC SECTOR ROLES Henson S, 2010, J DEV STUD, V46, P1628, DOI 10.1080/00220381003706494 Howse Robert, 2000, EJIL, V11, P249 Hudec R. E., 2000, NEW DIRECTIONS INT E, P187 Joshi Manoj, 2004, J WORLD TRADE, V38, p[69, 74] Kolk A., 2005, TRANSNATIONAL CORPOR, V14, P1 Kunzlik Peter, 1999, PUBLIC PROCUREMENT G, P199 Lester Simon, 2012, WORLD TRADE LAW TEXT, P669 Linarelli John, 2000, REGULATING PUBLIC PR Matsushita Mitsuo, 2006, ASIAN J WTO INT HEAL, V1, P299 McCrudden, 1992, GPRDS2R McCrudden C., 1999, OXFORD J LEGAL STUD, V19, P167 MCCRUDDEN C, 1999, J INT ECON LAW, V2, P3 McCrudden Christopher, 2006, NEW ACCOUNTABILITY C, P93 OECD, 2002, OECD J BUDGETING, V1 Pauwelyn J, 2014, J INT ECON LAW, V17, P739, DOI 10.1093/jiel/jgu042 Pauwelyn Joost, 2008, GATS REGULATION INT, P358 Perera O., 2007, STATE PLAY SUSTAINAB Porges A, 2003, J WORLD TRADE, V37, P783 Preuss L, 2009, SUPPLY CHAIN MANAG, V14, P213, DOI 10.1108/13598540910954557 Purnhagen K, 2015, J WORLD TRADE, V49, P309 Reich A, 1997, J WORLD TRADE, V31, P125 Roberts S, 2003, J BUS ETHICS, V44, P159, DOI 10.1023/A:1023395631811 Ruggie J. G., 2007, GLOBAL LIBERALISM PO, P23 Semple Abby, 2012, ROLE ENV SOCIAL LABE Steurer R, 2010, POLICY SCI, V43, P49, DOI 10.1007/s11077-009-9084-4 Steurer Reinhard, 2007, SUSTAINABLE PUBLIC P Tepper Philipp, 2012, VERIFYING SOCIAL RES TIETJE C, 1995, J WORLD TRADE, V29, P123 Vidal-Leon C, 2013, J INT ECON LAW, V16, P893, DOI 10.1093/jiel/jgt030 Vogel D, 2005, MARKET FOR VIRTUE: THE POTENTIAL AND LIMITS OF CORPORATE SOCIAL RESPONSIBILITY, P1 Vogel D, 2008, ANNU REV POLIT SCI, V11, P261, DOI 10.1146/annurev.polisci.11.053106.141706 Walker Helen, 2008, Journal of Purchasing and Supply Management, V14, P69, DOI 10.1016/j.pursup.2008.01.007 Wouters J, 2012, WORLD TRADE REV, V11, P479, DOI 10.1017/S1474745612000237 Zedalis RJ, 2007, J INT ECON LAW, V10, P335, DOI 10.1093/jiel/jgm010 NR 62 TC 3 Z9 3 U1 1 U2 17 PU OXFORD UNIV PRESS PI OXFORD PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND SN 1369-3034 EI 1464-3758 J9 J INT ECON LAW JI J. Int. Econ. Law PD SEP PY 2016 VL 19 IS 3 BP 607 EP 627 DI 10.1093/jiel/jgw053 PG 21 WC Law SC Government & Law GA DY7ZZ UT WOS:000385349100003 DA 2019-04-09 ER PT J AU Cho, S Lim, U AF Cho, Sungchul Lim, Up TI The Sustainability of Global Chain Governance: Network Structures and Local Supplier Upgrading in Thailand SO SUSTAINABILITY LA English DT Article DE global production network; technological upgrading; network structure; sustainable industrial development; latent class analysis ID ECONOMIC-GEOGRAPHY; FIRMS; ORGANIZATION; TECHNOLOGY; TRADE AB Although it has been widely accepted that insertion into global production networks may play a critical role in fostering local supplier upgrading, scholars have yet to fully incorporate heterogeneous configurations of buyer-supplier relationships within networks into empirical testing. Using a representative sample of manufacturing firms in Thailand, we propose a more nuanced empirical framework that asks which features of buyer-supplier relationships are related to which aspects of local supplier upgrading. Our findings, derived from latent class analysis, show that the ways value chains are governed can exert varying effects on different types of technological upgrading. Being a multinational corporation (MNC) supplier was found to have positive effects on process and minor product upgrading, irrespective of the types of buyer-supplier networks. However, we found a more radical type of upgrading (i.e., the development of own brands) to be negatively related to insertion into quasi-hierarchical' or buyer-driven relationships', whilst involvement in cooperative networks' was associated with a significantly higher tendency of product and brand upgrading. Understanding this inherent relationality provides a crucial balance to previous firm-level findings, suggesting that the sustainability of participation in global value chains depends on the relational structures in which local manufacturers are embedded. C1 [Cho, Sungchul] Korea Environm Inst, 370 Sicheong Daero, Sejong 30147, South Korea. [Lim, Up] Yonsei Univ, Dept Urban Planning & Engn, 50 Yonsei Ro, Seoul 03722, South Korea. RP Lim, U (reprint author), Yonsei Univ, Dept Urban Planning & Engn, 50 Yonsei Ro, Seoul 03722, South Korea. EM sccho@kei.re.kr; uplim@yonsei.ac.kr CR Amin A., 1994, GLOBALIZATION I REGI Amsden A, 1989, ASIAS NEXT GIANT S K Asheim B, 2006, SCI TECHNOLOGY SOC, V11, P39, DOI DOI 10.1177/097172180501100103 Cantwell J., 2006, ASIAN BUSINESS MANAG, V5, P249, DOI DOI 10.1057/PALGRAVE.ABM.9200165 Chaminade C, 2007, ELGAR ORIG REF, P381 Chong YQ, 2014, INT J PROD ECON, V150, P239, DOI 10.1016/j.ijpe.2013.12.030 CLOGG CC, 1988, LATENT TRAIT LATENT, P173, DOI DOI 10.1007/978-1-4757-5644-9_9 Coe NM, 2004, T I BRIT GEOGR, V29, P468, DOI 10.1111/j.0020-2754.2004.00142.x Crespo J, 2014, J ECON GEOGR, V14, P199, DOI 10.1093/jeg/lbt006 Dicken P., 2011, GLOBAL SHIFT MAPPING Dolan C, 2004, ENVIRON PLANN A, V36, P491, DOI 10.1068/a35281 Ernst D, 2002, RES POLICY, V31, P1417, DOI 10.1016/S0048-7333(02)00072-0 Fagerberg J, 2010, HBK ECON, V2, P833, DOI 10.1016/S0169-7218(10)02004-6 Frank AG, 2016, RES POLICY, V45, P577, DOI 10.1016/j.respol.2015.11.011 Gereffi G, 1999, J INT ECON, V48, P37, DOI 10.1016/S0022-1996(98)00075-0 Grabher G, 1993, EMBEDDED FIRM Hall B., 2007, OXFORD HDB INNOVATIO, P459 Hedge D., 2007, INT J TECHNOL MANAGE, V40, P349 Hess M, 2006, ENVIRON PLANN A, V38, P1193, DOI 10.1068/a38463 HOBDAY M, 1995, WORLD DEV, V23, P1171, DOI 10.1016/0305-750X(95)00035-B HOBDAY M, 2001, ASIAN-PAC ECON LIT, V15, P13, DOI DOI 10.1111/1467-8411.00092 Humphrey J, 2002, REG STUD, V36, P1017, DOI 10.1080/0034340022000022198 Ivarsson I, 2010, WORLD DEV, V38, P1575, DOI 10.1016/j.worlddev.2010.04.007 Kim L., 2000, TECHNOLOGY LEARNING Kim Linsu, 1997, IMITATION INNOVATION Lall S., 1987, LEARNING IND ACQUISI Lall S., 2004, 019 MERIT Lam A, 2003, J MANAGE STUD, V40, P673, DOI 10.1111/1467-6486.00356 Lee BK, 2016, INT J PROD ECON, V180, P148, DOI 10.1016/j.ijpe.2016.07.025 Lee K, 2001, RES POLICY, V30, P459, DOI 10.1016/S0048-7333(00)00088-3 Mizgier KJ, 2015, INT J PROD ECON, V162, P115, DOI 10.1016/j.ijpe.2015.01.007 Mizgier KJ, 2012, INT J PROD ECON, V135, P14, DOI 10.1016/j.ijpe.2010.09.022 Muthen B, 2000, ALCOHOL CLIN EXP RES, V24, P882, DOI 10.1111/j.1530-0277.2000.tb02070.x OECD (Organisation for Economic Co-operation and Development), 1992, OSL MAN MEAS SCI TEC Rogers WH, 1993, STATA TECHNICAL B, V13, P19, DOI DOI 10.1016/J.IJFORECAST.2005.03.004 Saliola F, 2009, RES POLICY, V38, P369, DOI 10.1016/j.respol.2008.11.003 Schmitz H, 1999, WORLD DEV, V27, P1627, DOI 10.1016/S0305-750X(99)00075-3 UNCTAD (United Nations Conference on Trade and Development), 2005, WORLD INV REP 2005 T UNIDO, 2002, IND DEV REP 2002 200 UNITED NATIONS CONFERENCE ON TRADE AND DEVELOPMENT (UNCTAD), 2014, WORLD INV REP 2014 I Vermunt J, 2002, APPL LATENT CLASS AN, P89, DOI DOI 10.1017/CB09780511499531.004 Yeung HWC, 2005, T I BRIT GEOGR, V30, P37, DOI 10.1111/j.1475-5661.2005.00150.x Zanfei A, 2000, CAMBRIDGE J ECON, V24, P515, DOI 10.1093/cje/24.5.515 NR 43 TC 1 Z9 1 U1 1 U2 17 PU MDPI AG PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD SEP PY 2016 VL 8 IS 9 AR 915 DI 10.3390/su8090915 PG 13 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DZ0LC UT WOS:000385529400087 OA DOAJ Gold DA 2019-04-09 ER PT J AU Grifoni, RC D'Onofrio, R Sargolini, M Pierantozzi, M AF Grifoni, Roberta Cocci D'Onofrio, Rosalba Sargolini, Massimo Pierantozzi, Mariano TI A Parametric Optimization Approach to Mitigating the Urban Heat Island Effect: A Case Study in Ancona, Italy SO SUSTAINABILITY LA English DT Article DE urban sustainability; urban planning; multi-objective optimization; Pareto optimality; predicted mean vote ID ENERGY; CITY; SUSTAINABILITY AB The aim of this paper is to identify a parameterization method that considers existing connections and relationships between traditional indicators of environmental sustainability as a step in combating climate change via urban strategies. A typical Mediterranean city (Ancona, Italy) is investigated with a multi-objective optimization platform called modeFrontier, which uses Pareto optimality. This concept formalizes the trade-off between a given set of mutually contradicting objectives, such as high thermal comfort and low energy consumption, to identify a set of Pareto solutions. A solution is Pareto optimal when it is not possible to improve one objective without deteriorating at least one of the others. The optimization process employs given constraints (for example, meteorological scenarios with high temperature and low winds or morphological building parameters), custom procedural algorithms (recursive algorithms to generate the set of all non-dominated objective parameters), and genetic algorithms (inspired by the natural selection process) to examine a wide urban space and identify interesting relationships among relevant variables for typical summer scenarios. Multi-objective optimizers involve many evaluations of two objectives (i.e., energy consumption and thermal comfort in this study) while considering many analytical constraints. This approach entails a considerably more exhaustive search of environmental variables that can help the urban planning process to mitigate the urban heat island (UHI) effect. Three quantitative metrics related to urban morphology and local climate conditions, as well as a thermal comfort indicator (the predicted mean vote), are defined and applied to Ancona to examine the potential for new sustainability in urban design. The results show that two parameters examinedcompacity and a building-scale energy indicatorcan offer insight when designing comfortable cities, while a citywide energy indicator shows that it is more difficult to find optimal solutions when dealing with the city as a whole. The research serves as a proof-of-concept and the possibility of identifying some local strategies in order to combat the UHI is verified. C1 [Grifoni, Roberta Cocci; D'Onofrio, Rosalba; Sargolini, Massimo; Pierantozzi, Mariano] Univ Camerino, Sch Architecture & Design E Vittoria, I-62032 Camerino, Italy. RP Grifoni, RC (reprint author), Univ Camerino, Sch Architecture & Design E Vittoria, I-62032 Camerino, Italy. EM roberta.coccigrifoni@unicam.it; rosalba.donofrio@unicam.it; massimo.sargolini@unicam.it; mariano.pierantozzi@unicam.it OI , rosalba/0000-0003-3630-579X; Cocci Grifoni, Roberta/0000-0002-7092-6293 CR [Anonymous], 1994, 7730 ISO APUR, 2007, CONS EN EM GAZ EFF S Arnfield AJ, 2003, INT J CLIMATOL, V23, P1, DOI 10.1002/joc.859 Balocco C, 2000, SOL ENERGY, V69, P351, DOI 10.1016/S0038-092X(00)00069-4 Banister D., 1999, TOWN PLANN REV, V70, P313, DOI DOI 10.3828/TPR.70.3.E7P3837505516833 Blakely EJ, 2001, J AM PLANN ASSOC, V67, P133, DOI 10.1080/01944360108976221 Burdett R., 2008, ENDLESS CITY Caragliu A, 2011, J URBAN TECHNOL, V18, P65, DOI 10.1080/10630732.2011.601117 Cocci Grifoni R., 2012, THE SUSTAINABLE CITY Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017 Deb K., 2002, MULTIOBJECTIVE OPTIM Diamantini C., 2007, SUSTAINABLE DEV PLAN, P133 Duncan J. E., 1989, SEARCH EFFICIENT URB European Community, 2010, SUST URB MET EUR SUM Fanger P. O., 1972, THERMAL COMFORT FRANK J.E., 1989, COST ALTERNATIVE DEV Green D.W., 1963, PERRYS CHEM ENG HDB Holman N, 2009, LOCAL ENVIRON, V14, P365, DOI 10.1080/13549830902783043 Horn J, 1994, P 1 IEEE C EV COMP I, P82, DOI DOI 10.1109/ICEC.1994.350037 JACOBS J., 1961, DEATH LIFE GREAT AM Jenks M., 2005, FUTURE FORMS DESIGN Jenks M., 2005, ENERGY CLIMATE BUILT Jim CY, 2003, LANDSCAPE URBAN PLAN, V65, P95, DOI 10.1016/S0169-2046(02)00244-X Joss S., 2012, THE SUSTAINABLE CITY Keirstead J, 2008, SUSTAIN DEV, V16, P329, DOI 10.1002/sd.349 Komninos N., 2006, P 2 IET INT C INT EN Lapsley I, 2010, ACCOUNT AUDIT ACCOUN, V23, P305, DOI 10.1108/09513571011034316 Malhotra Rahul., 2011, COMPUT INF SCI, V4, P39, DOI DOI 10.5539/CIS.V4N2P39 Oke T, 1987, BOUNDARY LAYER CLIMA OKE TR, 1982, Q J ROY METEOR SOC, V108, P1, DOI 10.1002/qj.49710845502 OKE TR, 1988, PROG PHYS GEOG, V12, P471, DOI 10.1177/030913338801200401 Reale L., 2008, DENSITA CITTA RESIDE RERC (Real Estate Research Corporation), 1974, THE COSTS OF SPRAWL Rigamonti P., 2002, COSTI COLLETTIVI CIT Roaf S, 2010, DESIGNING HIGH DENSI Royuela V, 2010, REG STUD, V44, P551, DOI 10.1080/00343400802662682 Salat S, 2010, ENERGIE TERRITOIRES, V86, P141 Salat S., 2006, URBAN MORPHOLOGY LAB Salat S, 2009, BUILD RES INF, V37, P598, DOI 10.1080/09613210903162126 Stocker T. F., 2013, CLIM CHANG 2013 PHYS, P741 Tirabassi T, 1999, ATMOS ENVIRON, V33, P2427, DOI 10.1016/S1352-2310(98)00371-9 U.S. Green Building Council, 2014, LEED V4 US GUID NR 42 TC 7 Z9 7 U1 1 U2 13 PU MDPI AG PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD SEP PY 2016 VL 8 IS 9 AR 896 DI 10.3390/su8090896 PG 20 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DZ0LC UT WOS:000385529400068 OA DOAJ Gold DA 2019-04-09 ER PT J AU Hirsch, PE Schillinger, M Appoloni, K Burkhardt-Holm, P Weigt, H AF Hirsch, Philipp Emanuel Schillinger, Moritz Appoloni, Katharina Burkhardt-Holm, Patricia Weigt, Hannes TI Integrating Economic and Ecological Benchmarking for a Sustainable Development of Hydropower SO SUSTAINABILITY LA English DT Article DE sustainable development goals; primary production; littoral zone; water level fluctuations; volatile renewable energies; energy transition; ecosystem function ID WATER-LEVEL FLUCTUATIONS; RESERVOIR OPERATION; FOOD-WEB; REQUIREMENTS; POPULATIONS; PERIPHYTON; HABITAT; MODEL AB Hydropower reservoirs play an increasingly important role for the global electricity supply. Reservoirs are anthropogenically-dominated ecosystems because hydropower operations induce artificial water level fluctuations (WLF) that exceed natural fluctuations in frequency and amplitude. These WLF have detrimental ecological effects, which can be quantified as losses to ecosystem primary production due to lake bottoms that fall dry. To allow for a sustainable development of hydropower, these ecological costs of WLF need to be weighed against the economic benefits of hydropower that can balance and store intermittent renewable energy. We designed an economic hydropower operation model to derive WLF in large and small reservoirs for three different future energy market scenarios and quantified the according losses in ecosystem primary production in semi-natural outdoor experiments. Our results show that variations in market conditions affect WLF differently in small and large hydropower reservoirs and that increasing price volatility magnified WLF and reduced primary production. Our model allows an assessment of the trade-off between the objectives of preserving environmental resources and economic development, which lies at the core of emerging sustainability issues. C1 [Hirsch, Philipp Emanuel; Appoloni, Katharina; Burkhardt-Holm, Patricia] Univ Basel, Program Man Soc Environm, Vesalgasse 1, CH-4051 Basel, Switzerland. [Hirsch, Philipp Emanuel; Schillinger, Moritz; Weigt, Hannes] Univ Basel, Res Ctr Sustainable Energy & Water Supply FoNEW, CH-4051 Basel, Switzerland. [Burkhardt-Holm, Patricia] Univ Alberta, Dept Biol Sci, Edmonton, AB T6G 2R3, Canada. RP Hirsch, PE (reprint author), Univ Basel, Program Man Soc Environm, Vesalgasse 1, CH-4051 Basel, Switzerland.; Hirsch, PE (reprint author), Univ Basel, Res Ctr Sustainable Energy & Water Supply FoNEW, CH-4051 Basel, Switzerland. EM philipp.hirsch@unibas.ch; moritz.schillinger@unibas.ch; katharina.appoloni@stud.unibas.ch; patricia.holm@unibas.ch; hannes.weigt@unibas.ch FU University of Basel; Amt fur Umwelt und Energie AUE, Basel; EBL: Genossenschaft Elektra Baselland; EBM: Genossenschaft Elektra Birseck; IWB: Industrielle Werke Basel FX The study was funded by grants from the University of Basel to the Program Man-Society-Environment and conducted within the Research Centre for Sustainable Energy and Water Supply (Forschungsstelle Nachhaltige Energie- und Wasserversorgung FoNEW), which is funded by local sponsors (Amt fur Umwelt und Energie AUE, Basel; EBL: Genossenschaft Elektra Baselland; EBM: Genossenschaft Elektra Birseck; IWB: Industrielle Werke Basel). Constructive comments from three anonymous reviewers are greatly acknowledged. We are indebted to Karl-Otto Rothhaupt and Reiner Eckmann for access to the experimental facilities and for providing scientific support at the Limnological Institute of the University of Konstanz. We especially thank Martin Wolf and Christian Fiek and all of the technical staff at the limnological institute who helped with the experiments, as well as Christina Geiger, Sebastian Schillinger, Heidi Schiffer, Nicole Seiler, Ingmar Schlecht and Jonas Savelsberg for their support. CR Azim M. E., 2005, PERIPHYTON ECOLOGY E Balmer M., 2012, THESIS Barry M., 2015, 201501 FONEW SSRN Clark WC, 2016, P NATL ACAD SCI USA, V113, P4570, DOI 10.1073/pnas.1601266113 Collen B, 2014, GLOBAL ECOL BIOGEOGR, V23, P40, DOI 10.1111/geb.12096 Coops H, 2003, HYDROBIOLOGIA, V506, P23, DOI 10.1023/B:HYDR.0000008595.14393.77 DeNicola DM, 2014, FRESHW SCI, V33, P619, DOI 10.1086/676117 Dieter D, 2015, ENVIRON SCI POLLUT R, V22, P17065, DOI 10.1007/s11356-015-4904-x Duan WX, 2016, WATER-SUI, V8, DOI 10.3390/w8060218 Evtimova VV, 2014, J APPL ECOL, V51, P1282, DOI 10.1111/1365-2664.12297 Finger D., 2012, WATER RESOUR RES, V48 Friedl G., 2016, ENCY LIFE SUPPORT SY Gudasz C, 2010, NATURE, V466, P478, DOI 10.1038/nature09186 Hampton SE, 2011, MAR FRESHWATER RES, V62, P350, DOI 10.1071/MF10229 Hirsch P., 2016, HYDROBIOLOGIA UNPUB Hirsch PE, 2016, ECOL EVOL, V6, P707, DOI 10.1002/ece3.1892 Hirsch PE, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0114889 Hutter K., 2014, PHYS OF LAKES, V3 Jager HI, 2008, RIVER RES APPL, V24, P340, DOI 10.1002/rra.1069 James GD, 2002, NEW ZEAL J MAR FRESH, V36, P39, DOI 10.1080/00288330.2002.9517069 Karlsson J, 2009, NATURE, V460, P506, DOI 10.1038/nature08179 Kuhne A., 1978, GEOGR HELV, V33, P191 Kumar A., 2011, HYDROPOWER Liebe J, 2005, PHYS CHEM EARTH, V30, P448, DOI 10.1016/j.pce.2005.06.011 Likens G. E. A., 1991, LIMNOLOGICAL ANAL, P391 Lopez P, 2016, SCI TOTAL ENVIRON, V540, P158, DOI 10.1016/j.scitotenv.2015.06.033 Molinos JG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0119253 Moss Brian, 2008, Freshwater Reviews, V1, P29, DOI 10.1608/FRJ-1.1.2 N'Guyen A, 2016, AMBIO, V45, P280, DOI 10.1007/s13280-015-0723-z Nieminen E., 2016, FISH FISH Omar WMW, 2010, TROP LIFE SCI RES, V21, P51 Opricovic S, 2009, WATER RESOUR MANAG, V23, P1549, DOI 10.1007/s11269-008-9340-y Peters L, 2005, ARCH HYDROBIOL, V163, P133, DOI 10.1127/0003-9138/2005/0163-0133 Peters L, 2007, J N AM BENTHOL SOC, V26, P232, DOI 10.1899/0887-3593(2007)26[232:ECIALL]2.0.CO;2 Poff NL, 2013, CURR OPIN ENV SUST, V5, P667, DOI 10.1016/j.cosust.2013.11.006 Rodrigues LN, 2013, WATER RESOUR IRRIG M, V2, P1 Schlecht I., 2015, SWISS J EC STAT, V2, P39 Schlecht I., 2014, 201404 WWZ IDEAS Schramm MP, 2016, ENVIRON SCI POLICY, V61, P87, DOI 10.1016/j.envsci.2016.03.019 Seidl R, 2013, AMBIO, V42, P5, DOI 10.1007/s13280-012-0363-5 Shang SH, 2013, J ARID LAND, V5, P133, DOI 10.1007/s40333-013-0153-3 Shiau JT, 2016, ENVIRON EARTH SCI, V75, DOI 10.1007/s12665-016-5427-6 Stevovic S, 2015, RENEW SUST ENERG REV, V50, P363, DOI 10.1016/j.rser.2015.05.016 Stoll S, 2013, J APPL ICHTHYOL, V29, P617, DOI 10.1111/jai.12144 Swiss Federal Office of the Environment, 2014, SWISS EL STAT Swiss Federal Office of the Environment, 2010, SWISS EL STAT United Nations, 1996, TRANSF OUR WORLD 203 Vadeboncoeur Y, 2002, BIOSCIENCE, V52, P44, DOI 10.1641/0006-3568(2002)052[0044:PTLBTR]2.0.CO;2 Vander Zanden MJ, 2011, ECOSYSTEMS, V14, P894, DOI 10.1007/s10021-011-9454-6 Wang YY, 2013, FRESHWATER BIOL, V58, P2366, DOI 10.1111/fwb.12216 Weise L, 2016, FEMS MICROBIOL ECOL, V92, DOI 10.1093/femsec/fiw035 Yang N, 2012, WATER RESOUR MANAG, V26, P4019, DOI 10.1007/s11269-012-0126-x Yang Y, 2014, HYDROBIOLOGIA, V738, P111, DOI 10.1007/s10750-014-1923-4 Zohary T, 2011, INLAND WATERS, V1, P47, DOI 10.5268/IW-1.1.406 NR 54 TC 2 Z9 2 U1 6 U2 22 PU MDPI PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD SEP PY 2016 VL 8 IS 9 AR 875 DI 10.3390/su8090875 PG 20 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DZ0LC UT WOS:000385529400047 OA DOAJ Gold DA 2019-04-09 ER PT J AU Yu, MC Wang, CN Ho, NNY AF Yu, Min-Chun Wang, Chia-Nan Nguyen-Nhu-Y Ho TI A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies SO SUSTAINABILITY LA English DT Article DE logistics industry; sustainability; data envelopment analysis (DEA); grey forecasting ID DEA; MANAGEMENT; EFFICIENCY; INDEX; PRODUCTIVITY; SYSTEMS; CHINA; CYCLE AB Logistics plays an important role in globalized companies and contributes to the development of foreign trade. A large number of external conditions, such as recession and inflation, affect logistics. Therefore, managers should find ways to improve operational performance, enabling them to increase efficiency while considering environmental sustainability due to the industry's large scale of energy consumption. Based on data collected from the financial reports of top global logistics companies, this study uses a DEA model to calculate corporate efficiency by implementing a Grey forecasting approach to forecast future sustainability values. Consequently, the study addresses the problem of how to enhance operational performance while accounting for the impact of external conditions. This research can help logistics companies develop operation strategies in the future that will enhance their competitiveness vis-a-vis rivals in a time of global economic volatility. C1 [Yu, Min-Chun] Natl Kaohsiung Univ Appl Sci, Dept Business Adm, Kaohsiung 807, Taiwan. [Wang, Chia-Nan; Nguyen-Nhu-Y Ho] Natl Kaohsiung Univ Appl Sci, Dept Ind Engn & Management, Kaohsiung 807, Taiwan. RP Wang, CN; Ho, NNY (reprint author), Natl Kaohsiung Univ Appl Sci, Dept Ind Engn & Management, Kaohsiung 807, Taiwan. EM yminchun@cc.kuas.edu.tw; cn.wang@cc.kuas.edu.tw; yhonguyen@gmail.com OI Wang, Chia-Nan/0000-0002-2374-3830 CR Juan AA, 2016, ENERGIES, V9, DOI 10.3390/en9020086 Amaratunga D., 2002, FACILITIES, V20, P217, DOI [10.1108/02632770210426701, DOI 10.1108/02632770210426701] Aracioglu B, 2013, PROCD SOC BEHV, V99, P1026, DOI 10.1016/j.sbspro.2013.10.576 Armstrong M., 2000, HUMAN RESOURCE MANAG, P69 Bergendahl G, 1998, ANN OPER RES, V82, P233, DOI 10.1023/A:1018910719517 CAVES DW, 1982, ECONOMETRICA, V50, P1393, DOI 10.2307/1913388 Chen XG, 2005, CHINA ECON REV, V16, P229, DOI 10.1016/j.chieco.2005.02.001 Chen Y, 2003, INT J PROD ECON, V83, P27, DOI 10.1016/S0925-5273(02)00267-0 Deng Julong, 1989, Journal of Grey Systems, V1, P1 DOYLE J, 1994, J OPER RES SOC, V45, P567, DOI 10.1057/jors.1994.84 Fare R, 1994, DATA ENVELOPMENT ANA, P253, DOI DOI 10.1007/978-94-011-0637-5_13 Kaplan R. S., 2001, ACCOUNT HORIZ, V15, P87, DOI DOI 10.2308/ACCH.2001.15.1.87 Li DC, 2012, OMEGA-INT J MANAGE S, V40, P767, DOI 10.1016/j.omega.2011.07.007 Liu CM, 2005, J IND PROD ENG, V22, P243, DOI 10.1080/10170660509509294 Liu SF, 2010, UNDERST COMPLEX SYST, P1 Rajak S, 2015, J CLEAN PROD, V108, P1184, DOI 10.1016/j.jclepro.2015.05.070 Ren JZ, 2014, BIORESOURCE TECHNOL, V162, P1, DOI 10.1016/j.biortech.2014.03.105 Ren JZ, 2013, INT J HYDROGEN ENERG, V38, P13198, DOI 10.1016/j.ijhydene.2013.07.081 Ren JZ, 2013, SCI WORLD J, DOI 10.1155/2013/918514 Samvedi A, 2013, ENG APPL ARTIF INTEL, V26, P1044, DOI 10.1016/j.engappai.2012.12.002 Searcy C, 2012, J BUS ETHICS, V107, P239, DOI 10.1007/s10551-011-1038-z Smith PC, 2002, J OPER RES SOC, V53, P247, DOI 10.1057/palgrave/jors/2601279 Soteriou A.C., 2013, INT J BANK MARK, V17, P780 Thanassoulis E, 2016, INT SER OPER RES MAN, V238, P367, DOI 10.1007/978-1-4899-7684-0_12 Thore S, 1996, COMPUT OPER RES, V23, P341, DOI 10.1016/0305-0548(95)00043-7 Yang JH, 2015, SUSTAINABILITY-BASEL, V7, P15342, DOI 10.3390/su71115342 Yang Q, 2015, SUSTAINABILITY-BASEL, V7, P4492, DOI 10.3390/su7044492 Zhang L, 2014, ADV MECH ENG, V2014, P1, DOI DOI 10.1371/J0URNAL.P0NE.0099946 NR 28 TC 7 Z9 7 U1 3 U2 35 PU MDPI PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD SEP PY 2016 VL 8 IS 9 AR 866 DI 10.3390/su8090866 PG 18 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DZ0LC UT WOS:000385529400038 OA DOAJ Gold DA 2019-04-09 ER PT J AU Gutierrez, J Maletic, N Camps-Mur, D Garcia, E Berberana, I Anastasopoulos, M Tzanakaki, A Kalokidou, V Flegkas, P Syrivelis, D Korakis, T Legg, P Markovic, D Lyberopoulos, G Bartelt, J Chaudhary, JK Grieger, M Vucic, N Zou, J Grass, E AF Gutierrez, Jesus Maletic, Nebojsa Camps-Mur, Daniel Garcia, Eduard Berberana, Ignacio Anastasopoulos, Markos Tzanakaki, Anna Kalokidou, Vaia Flegkas, Paris Syrivelis, Dimitris Korakis, Thanasis Legg, Peter Markovic, Dusan Lyberopoulos, George Bartelt, Jens Chaudhary, Jay Kant Grieger, Michael Vucic, Nikola Zou, Jim Grass, Eckhard TI 5G-XHaul: a converged optical and wireless solution for 5G transport networks SO TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES LA English DT Article AB The common European Information and Communications Technology sector vision for 5G is that it should leverage on the strengths of both optical and wireless technologies. In the 5G context, a wide spectra of radio access technologiessuch as millimetre wave transmission, massive multiple-input multiple-output and new waveformsdemand for high capacity, highly flexible and convergent transport networks. As the requirements imposed on future 5G networks rise, so do the challenges in the transport network. Hence, 5G-XHaul proposes a converged optical and wireless transport network solution with a unified control plane based on software defined networking. This solution is able to support the flexible backhaul and fronthaulX-Hauloptions required to tackle the future challenges imposed by 5G radio access technologies. 5G-XHaul studies the trade-offs involving fully or partially converged backhaul and fronthaul functions, with the aim of maximising the associated sharing benefits, improving efficiency in resource utilisation and providing measurable benefits in terms of overall cost, scalability and sustainability. Copyright (c) 2016 John Wiley & Sons, Ltd. C1 [Gutierrez, Jesus; Maletic, Nebojsa; Grass, Eckhard] IHP GmbH, Technol Pk 25, D-15236 Frankfurt, Oder, Germany. [Camps-Mur, Daniel; Garcia, Eduard] I2CAT Fdn, Barcelona, Spain. [Garcia, Eduard] Tech Univ Catalonia, Barcelona, Spain. [Berberana, Ignacio] Telefon I D, Madrid, Spain. [Anastasopoulos, Markos; Tzanakaki, Anna; Kalokidou, Vaia] Univ Bristol, Bristol, Avon, England. [Flegkas, Paris; Syrivelis, Dimitris; Korakis, Thanasis] Univ Thessaly, Volos, Greece. [Legg, Peter] Blu Wireless Technol, Bristol, Avon, England. [Markovic, Dusan] TES Elect Solut, Stuttgart, Germany. [Lyberopoulos, George] COSMOTE Mobile Telecommun SA, Athens, Greece. [Bartelt, Jens; Chaudhary, Jay Kant] Tech Univ Dresden, Dresden, Germany. [Grieger, Michael] Airrays GmbH, Dresden, Germany. [Vucic, Nikola] Huawei Technol Duesseldorf, Dusseldorf, Germany. [Zou, Jim] ADVA Opt Networking, Munich, Germany. [Grass, Eckhard] Humboldt Univ, Berlin, Germany. RP Gutierrez, J (reprint author), IHP GmbH, Technol Pk 25, D-15236 Frankfurt, Oder, Germany. EM teran@ihp-microelectronics.com OI Garcia-Villegas, Eduard/0000-0002-6005-9608 FU European Union [671551] FX This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 671551. The European Union and its agencies are not liable or otherwise responsible for the contents of this document; its content reflects the view of its authors only. CR 5G Public Private Partnership (5G-PPP) 5G Vision, 2015, 5G VIS 5G INFR PUBL [Anonymous], 2016, DELIVERABLE D2 1 REQ [Anonymous], 2014, 001 ETSI GS NFVSWA [Anonymous], 2015, ALU NOKIA ZTE BROADC [Anonymous], 2013, 2015 IEEE GLOB WORKS, V17 [Anonymous], 2015, NGMN 5G WHIT PAP Bartelt J, 2016, IEEE COMMUNICA UNPUB Bartelt J, 2015, IEEE WIREL COMMUN, V22, P105, DOI 10.1109/MWC.2015.7306544 Dtsch U., 2013, BELL LABS TECH J, V18, P105 Fedyk D, 2008, IEEE COMMUN MAG, V46, P84, DOI 10.1109/MCOM.2008.4463776 Filsfils C, 2015, IEEE GLOB COMM C GLO, P1 Han B, 2015, IEEE COMMUN MAG, V53, P90, DOI 10.1109/MCOM.2015.7045396 Koponen T., 2014, 11 USENIX S NETW SYS, P203 Rofoee BR, 2015, OPT FIB COMM C LOS A Tzanakaki A., 2016, IEEE ICC 20 IN PRESS Weiler R. J., 2014, EUR C NETW COMM EUCN, P1 Yan Y, 2013, OPT EXPRESS, V21, P5499, DOI 10.1364/OE.21.005499 NR 17 TC 9 Z9 9 U1 0 U2 8 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 2161-3915 J9 T EMERG TELECOMMUN T JI Trans. Emerg. Telecommun. Technol. PD SEP PY 2016 VL 27 IS 9 SI SI BP 1187 EP 1195 DI 10.1002/ett.3063 PG 9 WC Telecommunications SC Telecommunications GA DW4CQ UT WOS:000383590100006 DA 2019-04-09 ER PT J AU Low, YS Halim, I Adhitya, A Chew, W Sharratt, P AF Low, Ying Siew Halim, Iskandar Adhitya, Arief Chew, Wee Sharratt, Paul TI Systematic Framework for Design of Environmentally Sustainable Pharmaceutical Supply Chain Network SO JOURNAL OF PHARMACEUTICAL INNOVATION LA English DT Article DE Pharmaceutical industry; Sustainability; Supply chain design; Greenhouse gas emissions; Carbon footprint; Multi-criteria decision-making ID AUTOMATING HAZOP ANALYSIS; BATCH CHEMICAL-PLANTS AB The current push towards sustainability has pressurized pharmaceutical companies to reduce greenhouse gas (GHG) emissions in their manufacturing supply chains (SCs). However, the heavily regulated nature of the pharmaceutical industry has necessitated decisions such as sourcing of raw materials including names and addresses of suppliers and siting of plants to be locked early during the registration of a new drug. This could result in SC inefficiencies during the drug commercial life leading to higher than necessary GHG emissions. This paper presents a systematic framework for design of a more sustainable pharmaceutical SC network at the commercial stage that can be performed during the early stages of drug development. The framework comprises the following steps. First, basic SC information including process chemistries, outsourcing strategies, and potential supplier and manufacturer sites is consolidated. Next, an analytic hierarchy process (AHP) is performed to identify the most suitable supplier and manufacturer sites followed by mapping the entire SC network by connecting all the sites that have been identified as high priority. Subsequently, a set of indicator metrics-namely, cost, lead time, and GHG emissions-is calculated to evaluate the economic and environmental performances of the network. The framework has been applied to an industrially motivated case study. Two network alternatives were proposed and analyzed based on their metrics together with synergies and trade-offs highlighted. The findings demonstrate the efficacy of the framework in generating different network alternatives and identifying the most sustainable one on the basis of economic and environmental benefits. As such, the framework is applicable to the early stages of drug development where information is very limited. C1 [Low, Ying Siew; Halim, Iskandar; Adhitya, Arief; Chew, Wee; Sharratt, Paul] ASTAR, Inst Chem & Engn Sci, 1 Pesek Rd, Singapore 627833, Singapore. RP Halim, I (reprint author), ASTAR, Inst Chem & Engn Sci, 1 Pesek Rd, Singapore 627833, Singapore. EM lowyis@ices.a-star.edu.sg; iskandar_halim@ices.a-star.edu.sg; arief_adhitya@ices.a-star.edu.sg; chew_wee@ices.a-star.edu.sg; paul_sharratt@ices.a-star.edu.sg FU GSK-EDB Trust Fund FX The authors would like to thank GSK-EDB Trust Fund for financial support. CR Adamcsek E., 2008, ANAL HIERARCHY PROCE Adhitya A, 2011, ENVIRON SCI TECHNOL, V45, P10178, DOI 10.1021/es201763q [Anonymous], 2011, THE GUARDIAN Banini S, 2012, BUSINESS SUSTAINABIL Bello M. J. S., 2003, CASE STUDY APPROACH Bhushan N., 2004, STRATEGIC DECISION M Boom M, 2015, OUTSOURCING PHARMACE Boulaksil Y, 2008, STRATEGIC OPERATIONA Chatterjee B, 2014, PHARM ENG, V34, P1 Connell B, 2012, PHARMA MANUFACTURING EcoDesk, 2014, ECODESK Ehrhardt M, 2012, 5 STEPS REVITALIZED Enyinda C. I., 2010, INT J BUSINESS MARKE, V3, P25 GlaxoSmithKline, 2016, OUR PLAN OUR COMM Gould AL, 2014, INCORPORATING PRECLI Hernandez CT, 2010, BRAZ J OPER PROD MAN, V7, P47 Kirytopoulos K, 2008, BENCHMARKING, V15, P494, DOI 10.1108/14635770810887267 Kuhrt K, 2012, PHARM SUPPLY CHAIN Lamberti MJ, 2012, TRENDS NOVEL APPROAC Levy SG, 2014, PHARMACEUTIAL OUTSOU Lowell Center for Sustainable Production, 2016, WHAT IS SUST PROD Mahulkar AV, 2011, PHARM PROCESS CHEM, P443 Mocenni C, 2014, ANAL HIERARCHY PROCE Nagurney A, 2013, INT T OPER RES, V20, P859, DOI 10.1111/itor.12031 Niziolek Lisa, 2012, IIE Transactions on Healthcare Systems Engineering, V2, P181, DOI 10.1080/19488300.2012.709583 Parry M, 2008, CONTRACT PHARMA PE International, 2011, GABI 5 SOFTW SYST DA Pfizer, 2014, PFIZ ANN REV Rees H, 2011, SUPPLY CHAIN MANAGEM Rothman CJ, 2012, OBJECTIVE ASSESSMENT Saaty T. L, 1980, ANAL HIERARCHY PROCE SAATY TL, 1984, MATH MODELLING, V5, P309, DOI 10.1016/0270-0255(84)90008-3 Shanley A, 2014, OUTSOURCING SURVEY C Shapiro JF, 2001, MODELING SUPPLY CHAI Sousa RT, 2011, CHEM ENG RES DES, V89, P2396, DOI 10.1016/j.cherd.2011.04.005 Srinivasan R, 1998, COMPUT CHEM ENG, V22, P1357, DOI 10.1016/S0098-1354(98)00019-2 Srinivasan R, 1998, COMPUT CHEM ENG, V22, P1345, DOI 10.1016/S0098-1354(98)00018-0 Staudacher AP, 2014, SPRINGER P MATH STAT, P253 United States Department of Transportation, 2015, TABL 3 21 AV FR REV Uthayakumar R, 2013, OPER RES HEALTH CARE, V2, P52, DOI 10.1016/j.orhc.2013.08.001 van Elzakker MAH, 2014, CONSIDERING BOTH ENV Verisk Maplecroft, 2016, ENV RISK AN Wang X.H., 2005, S CHIN FISH SCI, V1, P1 World Commission on Environment and Development, 1987, OUR COMMON FUTURE World Resources Institute, 2016, MEAS MAPP UND WAT RI World Wide Fund for Nature, 2016, WAT RISK FILT Zhang J, 2011, PHARM ONLINE Zhang M, 2013, J MANUF TECHNOL MANA, V24, P1080, DOI 10.1108/JMTM-02-2012-0023 NR 48 TC 5 Z9 5 U1 1 U2 32 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 1872-5120 EI 1939-8042 J9 J PHARM INNOV JI J. Pharm. Innov. PD SEP PY 2016 VL 11 IS 3 SI SI BP 250 EP 263 DI 10.1007/s12247-016-9255-8 PG 14 WC Pharmacology & Pharmacy SC Pharmacology & Pharmacy GA DW5ZP UT WOS:000383726500007 DA 2019-04-09 ER PT J AU Hayha, T Lucas, PL van Vuuren, DP Cornell, SE Hoff, H AF Hayha, Tiina Lucas, Paul L. van Vuuren, Detlef P. Cornell, Sarah E. Hoff, Holger TI From Planetary Boundaries to national fair shares of the global safe operating space - How can the scales be bridged? SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS LA English DT Article DE Planetary boundaries; Safe and just operating space; Scale; Allocation; Footprints; Equity ID INTERNATIONAL-TRADE; CLIMATE-CHANGE; LAND-USE; ENVIRONMENTAL SUSTAINABILITY; ECOLOGICAL FOOTPRINT; FOOD SECURITY; FRESH-WATER; CARBON; RESPONSIBILITY; POPULATION AB The planetary boundaries framework proposes quantitative global limits to the anthropogenic perturbation of crucial Earth system processes, and thus marks out a planetary safe operating space for human activities. Yet, decisions regarding resource use and emissions are mostly made at less aggregated scales, by national and sub-national governments, businesses, and other local actors. To operationalize the planetary boundaries concept, the boundaries need to be translated into and aligned with targets that are relevant at these decision-making scales. In this paper, we develop a framework that addresses the biophysical, socio-economic, and ethical dimensions of bridging across scales, to provide a consistently applicable approach for translating the planetary boundaries into national-level fair shares of Earth's safe operating space. We discuss our findings in the context of previous studies and their implications for future analyses and, policymaking. In this way, we link the planetary boundaries framework to widely-applied operational and policy concepts for more robust strong sustainability decision-making. (C) 2016 The Authors. Published by Elsevier Ltd. C1 [Hayha, Tiina; Cornell, Sarah E.] Stockholm Univ, Stockholm Resilience Ctr, Kraftriket 2 B, S-10691 Stockholm, Sweden. [Hayha, Tiina; Lucas, Paul L.; van Vuuren, Detlef P.] PBL Netherlands Environm Assessment Agcy, Den Haag Bilthoven, Netherlands. [van Vuuren, Detlef P.] Univ Utrecht, Dept Geosci, Utrecht, Netherlands. [Hoff, Holger] Potsdam Inst Climate Impact Res, Potsdam, Germany. [Hoff, Holger] Stockholm Environm Inst, Stockholm, Sweden. RP Hayha, T (reprint author), Stockholm Univ, Stockholm Resilience Ctr, Kraftriket 2 B, S-10691 Stockholm, Sweden. EM tiina.hayha@su.se RI Cornell, Sarah/F-7003-2014 OI Cornell, Sarah/0000-0003-4367-1296; Lucas, Paul/0000-0003-0292-7830; Hayha, Tiina/0000-0002-9462-0408 FU Swedish Research Council Formas [2012-742]; Dutch Ministry of Foreign Affairs, Directorate General of Trade and International Cooperation; German Environmental Protection Agency (Umweltbundesamt-UBA), Dessau, Germany [UFO-Plan FKZ 3714 19 100 0]; Stordalen Foundation FX This work was supported by the Swedish Research Council Formas [grant number 2012-742]; ad hoc research network support from the Stordalen Foundation; The Dutch Ministry of Foreign Affairs, Directorate General of Trade and International Cooperation; and the German Environmental Protection Agency (Umweltbundesamt-UBA), Dessau, Germany [UFO-Plan FKZ 3714 19 100 0]. CR Ahbe S., 1990, SCHRIFTENREIHE UMWEL [Anonymous], 1992, AG 21 Barnosky AD, 2012, NATURE, V486, P52, DOI 10.1038/nature11018 Berk MM, 2001, CLIM POLICY, V1, P465, DOI 10.3763/cpol.2001.0148 Biermann F., 2015, GLOB ENV CHANGE BISHOP RC, 1978, AM J AGR ECON, V60, P10, DOI 10.2307/1240156 Brand G., 1998, ENV SERIES SAEFL, V297 Brandi C., 2015, J GLOB ETHICS, V11, P32 Bringezu S., 2014, REPORT WORKING GROUP Bruckner T, 2003, CLIMATIC CHANGE, V56, P73, DOI 10.1023/A:1021388429866 Butler JRA, 2014, GLOBAL ENVIRON CHANG, V28, P368, DOI 10.1016/j.gloenvcha.2013.12.004 Carpenter SR, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/1/014009 Cash DW, 2006, ECOL SOC, V11 Cash DW, 2000, GLOBAL ENVIRON CHANG, V10, P109, DOI 10.1016/S0959-3780(00)00017-0 CBD, 2014, GLOB BIOD OUTL, V4, P155 Chakravarty S, 2009, P NATL ACAD SCI USA, V106, P11884, DOI 10.1073/pnas.0905232106 Ciais P, 2013, CLIMATE CHANGE 2013 Ciriacy-Wantrup S.V., 1952, RESOURCE CONSERVATIO, P395 Cole MJ, 2014, P NATL ACAD SCI USA, V111, pE4399, DOI 10.1073/pnas.1400985111 Cornell S., 2014, ENV ABSOLUTE QUALITY Crowards TM, 1998, ECOL ECON, V25, P303, DOI 10.1016/S0921-8009(97)00041-4 DAILY GC, 1992, BIOSCIENCE, V42, P761, DOI 10.2307/1311995 Dao H., 2015, ENV LIMITS SWISS FOO Dasgupta PS, 2013, SCIENCE, V340, P324, DOI 10.1126/science.1224664 de Vries W, 2013, CURR OPIN ENV SUST, V5, P392, DOI 10.1016/j.cosust.2013.07.004 Dearing JA, 2014, GLOBAL ENVIRON CHANG, V28, P227, DOI 10.1016/j.gloenvcha.2014.06.012 den Elzen M.G.J., 2003, 7280010232003 RIVM den Elzen MGJ, 2005, ENVIRON MODEL ASSESS, V10, P115, DOI 10.1007/s10666-005-4647-z Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015 EEA, 1999, ENV IND TYP OV Elmqvist T., 2014, GLOBAL SUSTAINABILIT, DOI [10.6027/TN2014-527, DOI 10.6027/TN2014-527] Fang K, 2015, SUSTAINABILITY-BASEL, V7, P11285, DOI 10.3390/su70811285 Fang K, 2015, ECOL ECON, V114, P218, DOI 10.1016/j.ecolecon.2015.04.008 FAO (Food and Agriculture Organization of the United Nations), 2010, 163 FAO Flato G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P741 Fleurbaey M, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P283 Food and Agriculture Organization, 2013, STAT FOOD AGR 2012 Galaz V, 2012, CURR OPIN ENV SUST, V4, P80, DOI 10.1016/j.cosust.2012.01.006 Gallego B., 2005, EC SYST RES Gerten D, 2013, CURR OPIN ENV SUST, V5, P551, DOI 10.1016/j.cosust.2013.11.001 Gibson CC, 2000, ECOL ECON, V32, P217, DOI 10.1016/S0921-8009(99)00092-0 Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a Gunderson L. H., 2002, PANARCHY UNDERSTANDI Hajer M, 2015, SUSTAINABILITY-BASEL, V7, P1651, DOI 10.3390/su7021651 Hertwich EG, 2009, ENVIRON SCI TECHNOL, V43, P6414, DOI 10.1021/es803496a Hoekstra AY, 2014, SCIENCE, V344, P1114, DOI 10.1126/science.1248365 Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 Hoff H., 2011, UNDERSTANDING NEXUS, P52 Hoff H., 2014, 201405 SEI Honkonen T., 2009, REV EUROPEAN COMMUNI, V18, P257, DOI DOI 10.1111/J.1467-9388.2009.00648.X Howells M, 2013, NAT CLIM CHANGE, V3, P621, DOI [10.1038/nclimate1789, 10.1038/NCLIMATE1789] Ingebritsen SE, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/9/091002 IPCC, 2014, CLIMATE CHANGE 2014 Kahiluoto H, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/10/104013 Kander A, 2015, NAT CLIM CHANGE, V5, P431, DOI [10.1038/nclimate2555, 10.1038/NCLIMATE2555] Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386 Kirchhoff CJ, 2013, ANNU REV ENV RESOUR, V38, P393, DOI 10.1146/annurev-environ-022112-112828 Kitzes J, 2008, PHILOS T R SOC B, V363, P467, DOI 10.1098/rstb.2007.2164 Lamb WF, 2015, GLOBAL ENVIRON CHANG, V33, P14, DOI 10.1016/j.gloenvcha.2015.03.010 Leach AM, 2012, ENVIRON DEV, V1, P40, DOI 10.1016/j.envdev.2011.12.005 Lebel L, 2013, ECOL SOC, V18, DOI 10.5751/ES-05097-180101 Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Lenzen M, 2007, ECOL ECON, V61, P27, DOI 10.1016/j.ecolecon.2006.05.018 Lenzen M, 2013, ECOL ECON, V94, P78, DOI 10.1016/j.ecolecon.2013.06.018 Lucas PL, 2014, SUSTAINABILITY-BASEL, V6, P193, DOI 10.3390/su6010193 Mace GM, 2014, GLOBAL ENVIRON CHANG, V28, P289, DOI 10.1016/j.gloenvcha.2014.07.009 MacLeod M, 2014, ENVIRON SCI TECHNOL, V48, P11057, DOI 10.1021/es501893m Mauser W, 2013, CURR OPIN ENV SUST, V5, P420, DOI 10.1016/j.cosust.2013.07.001 Meadows D., 1972, CHELSEA, V205, P205 Metz B, 2002, CLIM POLICY, V2, P211, DOI 10.1016/S1469-3062(02)00037-2 Moran DD, 2013, ECOL ECON, V89, P177, DOI 10.1016/j.ecolecon.2013.02.013 Muller B, 2002, EQUITY CLIMATE CHANG Myhre G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P659 National Research Council, 2014, CAN EARTHS SOC SYST Nilsson M, 2012, ECOL ECON, V81, P10, DOI 10.1016/j.ecolecon.2012.06.020 Nykvist B., 2013, 6576 SWED EPA, P122 Oppenheimer M, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1039 Organization for Economic Co-operation and Development (OECD), 1993, OECD ENV MON Ostrom E, 2010, GLOBAL ENVIRON CHANG, V20, P550, DOI 10.1016/j.gloenvcha.2010.07.004 Pauw Pietter, 2014, DIFFERENT PERSPECTIV Persson LM, 2013, ENVIRON SCI TECHNOL, V47, P12619, DOI 10.1021/es402501c Peters GP, 2008, CLIMATIC CHANGE, V86, P51, DOI 10.1007/s10584-007-9280-1 Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Petschel- Held G, 1999, CLIMATIC CHANGE, V41, P303, DOI 10.1023/A:1005487123751 Rao ND, 2012, SUSTAINABILITY-BASEL, V4, P656, DOI 10.3390/su4040656 Raupach MR, 2014, NAT CLIM CHANGE, V4, P873, DOI 10.1038/NCLIMATE2384 Raworth K., 2012, OXFAM DISCUSSION PAP, V2012, P1 Reid PC, 2016, GLOBAL CHANGE BIOL, V22, P682, DOI 10.1111/gcb.13106 Ridoutt B, 2015, ENVIRON SCI TECHNOL, V49, P2601, DOI 10.1021/acs.est.5b00163 Ringius Lasse, 2002, INT ENVIRON AGREEM-P, V2, P1, DOI DOI 10.1023/A:1015041613785 Rockstrom J, 2009, ECOL SOC, V14 Running SW, 2012, SCIENCE, V337, P1458, DOI 10.1126/science.1227620 Sala S, 2013, INTEGR ENVIRON ASSES, V9, P623, DOI 10.1002/ieam.1471 Sandin G, 2015, INT J LIFE CYCLE ASS, V20, P1684, DOI 10.1007/s11367-015-0984-6 Schroeder D., 2010, ETHICS JUSTICE CONVE, P48 SDSN, 2013, ACT AG SUST DEV REP Smajgl A, 2010, ENVIRON MODELL SOFTW, V25, P1470, DOI 10.1016/j.envsoft.2010.04.008 Steffen W, 2015, ANTHROPOCENE REV, V2, P81, DOI 10.1177/2053019614564785 Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855 Steffen W, 2013, CURR OPIN ENV SUST, V5, P403, DOI 10.1016/j.cosust.2013.04.007 Steininger KW, 2016, NAT CLIM CHANGE, V6, P35, DOI 10.1038/NCLIMATE2867 Sullivan S., 2012, ENV DEV, V16 Tavoni M, 2013, CLIM CHANG ECON, V4, DOI 10.1142/S2010007813400095 Turner II B.L., 2014, CAN EARTHS SOC SYSTE UNECE, 1979, CONV LONG RANG TRANS UNEP, 2012, GLOB ENV OUTL United Nations, 2002, WORLD SUMM SUST DEV United Nations Development Programme (UNDP), 2014, SUST HUM PROGR RED V van Vuuren DP, 2007, CLIMATIC CHANGE, V81, P119, DOI 10.1007/s10584-006-9172-9 van Vuuren DP, 2016, EARTH SYST DYNAM, V7, P267, DOI 10.5194/esd-7-267-2016 van Vuuren DP, 2015, TECHNOL FORECAST SOC, V98, P303, DOI 10.1016/j.techfore.2015.03.005 van Vuuren DP, 2000, ECOL ECON, V34, P115, DOI 10.1016/S0921-8009(00)00155-5 van Vuuren DP, 2005, ECOL ECON, V52, P43, DOI 10.1016/j.ecolecon.2004.06.009 Verburg PH, 2002, ENVIRON MANAGE, V30, P391, DOI 10.1007/s00267-002-2630-x Vitousek PM, 1997, SCIENCE, V277, P494, DOI 10.1126/science.277.5325.494 Wackernagel M, 1999, ECOL ECON, V29, P375, DOI 10.1016/S0921-8009(98)90063-5 Wang F, 2011, J ENVIRON QUAL, V40, P1081, DOI 10.2134/jeq2010.0444 Waters CN, 2016, SCIENCE, V351, P137, DOI 10.1126/science.aad2622 Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 Weterings R. A. P. M., 1992, ECOCAPACITY CHALLENG Wiedmann T, 2008, ECOLOGICAL EC RES TR Wiedmann T.O., 2013, P NATL ACAD SCI USA, P9 Wilbanks TJ, 1999, CLIMATIC CHANGE, V43, P601, DOI 10.1023/A:1005418924748 NR 123 TC 31 Z9 31 U1 8 U2 33 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-3780 EI 1872-9495 J9 GLOBAL ENVIRON CHANG JI Glob. Environ. Change-Human Policy Dimens. PD SEP PY 2016 VL 40 BP 60 EP 72 DI 10.1016/j.gloenvcha.2016.06.008 PG 13 WC Environmental Sciences; Environmental Studies; Geography SC Environmental Sciences & Ecology; Geography GA DV9YD UT WOS:000383297200006 OA Green Published, Other Gold HC Y HP N DA 2019-04-09 ER PT J AU Lavelle, P Doledec, S de Sartre, XA Decaens, T Gond, V Grimaldi, M Oszwald, J Hubert, B Ramirez, B Veiga, I de Souza, S de Assis, WS Michelotti, F Martins, M Feijoo, A Bommel, P Castaneda, E Chacon, P Desjardins, T Dubs, F Gordillo, E Guevara, E Fonte, S Hurtado, MD Lena, P Lima, T Marichal, R Mitja, D Miranda, I Otero, T Praxedes, C Poccard, R de Robert, P Rodriguez, G Sanabria, C Tselouiko, S Velasquez, A Velasquez, E Velasquez, J AF Lavelle, Patrick Doledec, Sylvain de Sartre, Xavier Arnauld Decaens, Thibaud Gond, Valery Grimaldi, Michel Oszwald, Johan Hubert, Bernard Ramirez, Bertha Veiga, Iran de Souza, Simao de Assis, William Santos Michelotti, Fernando Martins, Marlucia Feijoo, Alexander Bommel, Pierre Castaneda, Edna Chacon, Patricia Desjardins, Thierry Dubs, Florence Gordillo, Erika Guevara, Edward Fonte, Steven del Pilar Hurtado, Maria Lena, Philippe Lima, Tamara Marichal, Raphael Mitja, Danielle Miranda, Izildinha Otero, Tupac Praxedes, Catarina Poccard, Rene de Robert, Pascale Rodriguez, Gamaliel Sanabria, Catalina Tselouiko, Stephanie Velasquez, Alexander Velasquez, Elena Velasquez, Jaime TI Unsustainable landscapes of deforested Amazonia: An analysis of the relationships among landscapes and the social, economic and environmental profiles of farms at different ages following deforestation SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS LA English DT Article DE Socioecological systems; Amazonia; Landscapes; Biodiversity; Ecosystem services; Social wellbeing; Economic efficiency ID BRAZILIAN AMAZON; ECOSYSTEM SERVICES; AGROFORESTRY SYSTEMS; SUSTAINABLE AGRICULTURE; LAND-USE; BIODIVERSITY; FOREST; SOIL; CONSERVATION; THRESHOLDS AB In Amazonia, our knowledge of the trade-offs and possible thresholds in the relationships among social, economic and environmental parameters remains quite limited and hinders the design of sustainable socio-environmental systems. To fill this gap, we analyzed relationships among landscape metrics, socioeconomic patterns, biodiversity and soil-based ecosystem services within a total of 51 farms located at 6 sites of the Colombian and Brazilian Amazon. Farms were representative of an initial set of 274 and they represented colonization ages from 10 to 80 years and a range of public policies found in the region. Cluster analysis separated farms in 7 types of production systems according to 5 main criteria (size of the farm, human capital, incomes, farm,products and production intensity) selected from an initial set of 18 criteria. Biodiversity was summarized into a composite index Bd built with data from 8 different groups: trees, shrubs, grasses and forbs, birds, Saturnidae and Sphingidae moths, Drosophilidae, earthworms and ants. Provision of ecosystem services was quantified by a composite indicator of 6 sub indicators of soil hydrological functions, C storage and chemical fertility. Increasing intensity of production systems was linked to a significant decrease of indicators of natural capital biodiversity (Bd) and soil based ecosystem services (Es) with 20% and 37.3% variance explained, respectively. No relationship was observed between production systems and an indicator of human wellbeing (Sb) based on a set of 5 criteria identified with the farmers. Findings indicate that early colonizers migrate when a certain level of development has been achieved (as a result of their activities) and are replaced by wealthier populations. An overall indicator of sustainability (Su)- that combines production efficiency (Ep), Sb,Bd and Es indices (ranging from 0.1-1.0)- decreases significantly with the landscape intensification (Li) with 18.7% variance directly explained by this relationship. Su was also significantly related to production systems (36.4% variance explained): while this indicator remained relatively stable with a value of 0.5 across the early and intermediate phases following deforestation, it dropped down considerably (0.2) for production systems based on cattle ranching on highly degraded pastures with less than 2% forest cover remaining. Restoration with sylvopastoral systems allowed some farms of this former group to increase sustainability to a value of 0.35 after less than 5 years. Agroforestry systems on sites deforested at the same time maintained values around 0.5, as they allowed the maximum production efficiencies and maintained relatively high values of the Biodiversity (Bd) and Ecosystem services (Es) indexes. This is evidence that beyond the general negative trade-off between human development and natural capital observed in Amazonia, agro ecological options to revert the trend are quite promising. A general methodological approach for the reconstruction of sustainable landscapes in farms of the deforested Amazonian region is proposed as a conclusion. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Lavelle, Patrick; Grimaldi, Michel; Desjardins, Thierry; Dubs, Florence; Marichal, Raphael; Tselouiko, Stephanie] Univ Paris 06, Inst Rech Dev, UMR Biogeochim Ecosyst Continentaux, Paris, France. [Lavelle, Patrick; Guevara, Edward; Fonte, Steven; del Pilar Hurtado, Maria] Ctr Int Agr Trop, Cali, Colombia. [Doledec, Sylvain] Univ Lyon 1, LEHNA, UMR 5023, Villeurbanne, France. [de Sartre, Xavier Arnauld] Univ Pau & Pays Adour, CNRS, SET, UMR 5603, Pau, France. [Decaens, Thibaud] Univ Rouen, ECODIV, UPRES, EA1293, Mont St Aignan, France. [Gond, Valery] CIRAD, UPR Bsef, F-34398 Montpellier, France. [Oszwald, Johan] Univ Rennes 2, CNRS, LETG, COSTEL,UMR 5664, F-35043 Rennes, France. [Hubert, Bernard] INRA, Avignon, France. [Ramirez, Bertha; Castaneda, Edna; Gordillo, Erika; Rodriguez, Gamaliel; Velasquez, Alexander; Velasquez, Jaime] Univ Amazonia, Florencia, Caqueta, Colombia. [Veiga, Iran; de Souza, Simao; de Assis, William Santos; Michelotti, Fernando] Fed Univ Para, Belem, Para, Brazil. [Martins, Marlucia; Praxedes, Catarina] Museu Paraense Emilio Goeldi, Belem, Para, Brazil. [Feijoo, Alexander] Univ Tecnol Pereira, Fac Ciencias Ambientales, Pereira, Colombia. [Bommel, Pierre; Poccard, Rene] Ctr Int Rech Agr & Dev, Montpellier, France. [Chacon, Patricia; Sanabria, Catalina] Univ Valle, Cali, Colombia. [Lena, Philippe; de Robert, Pascale] Inst Rech Dev, Paris, France. [Lima, Tamara; Miranda, Izildinha] Univ Fed Rural Amazonia, Belem, Para, Brazil. [Mitja, Danielle] Inst Rech Dev, ESPACE, DEV, UMR, Montpellier, France. [Otero, Tupac; Velasquez, Elena] Univ Nacl Colombia Sede Palmira, Palmira, Colombia. RP Lavelle, P (reprint author), Univ Paris 06, Inst Rech Dev, UMR Biogeochim Ecosyst Continentaux, Paris, France. EM Patrick.Lavelle@ird.fr RI Bommel, Pierre/K-1450-2017; Mitja, Danielle/J-7921-2016 OI Bommel, Pierre/0000-0002-7776-9075; Dubs, Florence/0000-0002-6657-9911; LAVELLE, Patrick/0000-0002-2127-1067 FU French Agence Nationale de la Recherche [ANR-06-PADD-001-011, ANR 06 BIODIV 009-01]; Brazilian CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico) [490649/2006-8]; Institut de Recherche pour le Developpement (IRD) FX The work was funded by the French Agence Nationale de la Recherche through two grants: AMAZ_ES (ANR-06-PADD-001-011; Agriculture Durable et Developpement programme) and AMAZED (ANR 06 BIODIV 009-01; IFB_ANR) and by Brazilian CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico) project "Servicos ecossistemicos e sustentabilidade das paisagens agrosilvipastoris da AmazoniaOriental" no: 490649/2006-8.; The Institut de Recherche pour le Developpement (IRD) played a key role in funding temporary positions for people involved in the operations and administering the project. We thank all of the Brazilian, Colombian and French students that came to help as part of their training, local technical staff and field workers. We are also grateful to the farmers who participated in this research and allowed us to work on their land. CR Alfaia SS, 2004, AGR ECOSYST ENVIRON, V102, P409, DOI 10.1016/j.agee.2003.08.011 Altieri MA, 2004, FRONT ECOL ENVIRON, V2, P35, DOI 10.2307/3868293 [Anonymous], 2011, 236115 ISO [Anonymous], 2005, MILLENNIUM ECOSYSTEM Arnauld de Sartre X., 2006, FRONTS PIONNIERS AMA, P223 Billard C, 2014, BOIS FOR TROP, P53 Boerner J, 2007, ECOL ECON, V64, P356, DOI 10.1016/j.ecolecon.2007.03.001 Browder JO, 2000, AGROFOREST SYST, V49, P63, DOI 10.1023/A:1006347019689 Carvalho G, 2001, NATURE, V409, P131, DOI 10.1038/35051794 Chayanov A. V., 1966, THEORY PEASANT EC Courgeau D., 1992, EVENT HIST ANAL DEMO, V2 Courgeau D., 1992, EVENT HIST ANAL DEMO Da Silva JMC, 2005, CONSERV BIOL, V19, P689, DOI 10.1111/j.1523-1739.2005.00707.x Feijoo Alexander, 2010, Acta Amaz., V40, P231, DOI 10.1590/S0044-59672010000100030 Foley JA, 2007, FRONT ECOL ENVIRON, V5, P25, DOI 10.1890/1540-9295(2007)5[25:ARFDAL]2.0.CO;2 Game ET, 2013, CONSERV BIOL, V27, P480, DOI 10.1111/cobi.12051 Gardner TA, 2009, ECOL LETT, V12, P561, DOI 10.1111/j.1461-0248.2009.01294.x Gibson L, 2011, NATURE, V478, P378, DOI 10.1038/nature10425 Giles J, 2006, NATURE, V442, P726, DOI 10.1038/442726c Godar J, 2012, FOREST ECOL MANAG, V267, P58, DOI 10.1016/j.foreco.2011.11.046 Grieg-Gran M, 2005, WORLD DEV, V33, P1511, DOI 10.1016/j.worlddev.2005.05.002 Grimaldi M, 2014, LANDSCAPE ECOL, V29, P311, DOI 10.1007/s10980-013-9981-y Gunderson L. H., 2002, PANARCHY UNDERSTANDI Hastie TJ, 1991, STAT MODELS S IKERD JE, 1993, AGR ECOSYST ENVIRON, V46, P147, DOI 10.1016/0167-8809(93)90020-P Jackson LE, 2007, AGR ECOSYST ENVIRON, V121, P196, DOI 10.1016/j.agee.2006.12.017 Kareiva P, 2007, SCIENCE, V316, P1866, DOI 10.1126/science.1140170 Lawrence D, 2007, P NATL ACAD SCI USA, V104, P20696, DOI 10.1073/pnas.0705005104 Lenton T, 2011, NATURE, V473, P7, DOI 10.1038/473007a Lopez-Hernandez D, 2004, SOIL SCI, V169, P188, DOI 10.1097/01.ss.0000122524.03492.b7 Marichal R, 2010, APPL SOIL ECOL, V46, P443, DOI 10.1016/j.apsoil.2010.09.001 Mattison EHA, 2005, TRENDS ECOL EVOL, V20, P610, DOI 10.1016/j.tree.2005.06.011 Mckey D, 2010, P NATL ACAD SCI USA, V107, P7823, DOI 10.1073/pnas.0908925107 Miller RP, 2006, AGROFOREST SYST, V66, P151, DOI 10.1007/s10457-005-6074-1 Morton DC, 2006, P NATL ACAD SCI USA, V103, P14637, DOI 10.1073/pnas.0606377103 Nakagawa S, 2013, METHODS ECOL EVOL, V4, P133, DOI 10.1111/j.2041-210x.2012.00261.x Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023 Nepstad DC, 2008, PHILOS T R SOC B, V363, P1737, DOI 10.1098/rstb.2007.0036 Oliveira LJC, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024021 Oszwald J, 2011, BOIS FOR TROP, P7 Peres CA, 2005, CONSERV BIOL, V19, P728, DOI 10.1111/j.1523-1739.2005.00691.x Perfecto I, 2008, ANN NY ACAD SCI, V1134, P173, DOI 10.1196/annals.1439.011 Pinheiro JC, 2000, MIXED EFFECTS MODELS Radford JQ, 2005, BIOL CONSERV, V124, P317, DOI 10.1016/j.biocon.2005.01.039 Ramirez BL, 2012, REV COLOMB CIENC PEC, V25, P391 Raudsepp-Hearne C, 2010, BIOSCIENCE, V60, P576, DOI 10.1525/bio.2010.60.8.4 Benayas JMR, 2012, ECOSYSTEMS, V15, P883, DOI 10.1007/s10021-012-9552-0 ROBERT P, 1976, ROY STAT SOC C-APP, V25, P257 Rodrigues ASL, 2009, SCIENCE, V324, P1435, DOI 10.1126/science.1174002 Simon MF, 2005, ENVIRON CONSERV, V32, P203, DOI 10.1017/S0376892905002201 Smukler SM, 2010, AGR ECOSYST ENVIRON, V139, P80, DOI 10.1016/j.agee.2010.07.004 Staver AC, 2011, SCIENCE, V334, P230, DOI 10.1126/science.1210465 Steffan-Dewenter I, 2007, P NATL ACAD SCI USA, V104, P4973, DOI 10.1073/pnas.0608409104 Swift TL, 2010, BIOL REV, V85, P35, DOI 10.1111/j.1469-185X.2009.00093.x Velasquez E, 2007, SOIL BIOL BIOCHEM, V39, P3066, DOI 10.1016/j.soilbio.2007.06.013 Vieira ICG, 2008, BRAZ J BIOL, V68, P949, DOI 10.1590/S1519-69842008000500004 Walker R, 2000, WORLD DEV, V28, P683, DOI 10.1016/S0305-750X(99)00149-7 Walker R, 2009, P NATL ACAD SCI USA, V106, P10582, DOI 10.1073/pnas.0806059106 Weinhold D, 2013, WORLD DEV, V52, P132, DOI 10.1016/j.worlddev.2012.11.016 Zavaleta ES, 2010, P NATL ACAD SCI USA, V107, P1443, DOI 10.1073/pnas.0906829107 NR 60 TC 7 Z9 7 U1 8 U2 79 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-3780 EI 1872-9495 J9 GLOBAL ENVIRON CHANG JI Glob. Environ. Change-Human Policy Dimens. PD SEP PY 2016 VL 40 BP 137 EP 155 DI 10.1016/j.gloenvcha.2016.04.009 PG 19 WC Environmental Sciences; Environmental Studies; Geography SC Environmental Sciences & Ecology; Geography GA DV9YD UT WOS:000383297200013 DA 2019-04-09 ER PT J AU Yang, H Lin, HY Zhuang, EX Fang, SH Huang, YK AF Yang, Hui Lin, Heyun Zhuang, Erxing Fang, Shuhua Huang, Yunkai TI Investigation of design methodology for non-rare-earth variable-flux switched-flux memory machines SO IET ELECTRIC POWER APPLICATIONS LA English DT Article DE AC machines; finite element analysis; machine insulation; design engineering; design methodology; nonrare-earth variable-flux switched-flux memory machines; switched-flux memory machine; aluminium-nickel-cobalt magnet; low-coercive force; flexible air-gap flux control; magnetic circuit; magnet grade selection; stator; rotor-pole combination; back-electromotive force; torque capability ID PERMANENT-MAGNET MACHINES; MOTOR DRIVE; HYBRID; VEHICLES; OPERATION; PHYSICS AB This study presents a design methodology for a newly emerged switched-flux memory machine with low-cost non-rare-earth. The adoption of aluminium-nickel-cobalt magnet with low-coercive force enables the flexible air-gap flux control without unnecessary excitation loss. Hence, the excellent flux variability and high-efficiency sustainability within a wide-speed range can be achieved. Since geometric constraints exist among major parameters, a design trade-off should be established to facilitate the feasible design. Therefore, a simplified magnetic circuit is modelled to analytically determine the relationships among various parameters, and the generic design considerations including magnet grade selection and stator/rotor-pole combination are addressed, respectively. The influences of design parameters on back-electromotive force and torque capability are evaluated to aid the performance optimisation. A machine prototype is then fabricated to experimentally validate the theoretical analyses. C1 [Yang, Hui; Lin, Heyun; Zhuang, Erxing; Fang, Shuhua; Huang, Yunkai] Southeast Univ, Engn Res Ctr Mot Control, Minist Educ, Nanjing 210096, Jiangsu, Peoples R China. RP Lin, HY (reprint author), Southeast Univ, Engn Res Ctr Mot Control, Minist Educ, Nanjing 210096, Jiangsu, Peoples R China. EM hyling@seu.edu.cn FU National Natural Science Foundation of China [51377020]; Specialized Research Fund for the Doctoral Program of Higher Education of China [20130092130005]; Fundamental Research Funds for the Central Universities [CXZZ13_0095]; Scientific Research Foundation of Graduate School of Southeast University; China Scholarship Council through the one-year joint studentship in The University of Sheffield FX This work was jointly supported by National Natural Science Foundation of China (51377020), Specialized Research Fund for the Doctoral Program of Higher Education of China (20130092130005), the Fundamental Research Funds for the Central Universities (CXZZ13_0095), and the Scientific Research Foundation of Graduate School of Southeast University. The work of H. Yang was supported by the China Scholarship Council through the one-year joint studentship in The University of Sheffield. CR Amara Y, 2009, IEEE T VEH TECHNOL, V58, P2137, DOI 10.1109/TVT.2008.2009306 Chau KT, 2008, IEEE T IND ELECTRON, V55, P2246, DOI [10.1109/TIE.2008.918403, 10.1109/TIE.2007.918403] Chen JT, 2010, IEEE T ENERGY CONVER, V25, P293, DOI 10.1109/TEC.2009.2032633 Cheng M, 2011, IEEE T IND ELECTRON, V58, P5087, DOI 10.1109/TIE.2011.2123853 Hua W, 2008, IEEE T ENERGY CONVER, V23, P727, DOI 10.1109/TEC.2008.918612 JAHNS TM, 1987, IEEE T IND APPL, V23, P681, DOI 10.1109/TIA.1987.4504966 Kato T, 2014, IEEE T IND APPL, V50, P1748, DOI 10.1109/TIA.2013.2283314 Limsuwan N, 2014, IEEE T IND APPL, V50, P1015, DOI 10.1109/TIA.2013.2273482 Liu HC, 2010, IEEE T MAGN, V46, P1679, DOI 10.1109/TMAG.2010.2044638 Liu HC, 2009, IEEE T MAGN, V45, P4736, DOI 10.1109/TMAG.2009.2021408 Maekawa S, 2014, IEEE T POWER ELECTR, V29, P4877, DOI 10.1109/TPEL.2013.2288635 Ostovic V, 2003, IEEE IND APPL MAG, V9, P52, DOI 10.1109/MIA.2003.1176459 Ostovic V, 2002, IEEE T IND APPL, V38, P1493, DOI 10.1109/TIA.2002.805568 Wu D, 2015, IET ELECTR POWER APP, V9, P160, DOI 10.1049/iet-epa.2014.0215 Yang H, 2014, IEEE T MAGN, V50, DOI 10.1109/TMAG.2014.2323331 Yang H, 2014, IEEE T MAGN, V50, DOI 10.1109/TMAG.2013.2278849 Yu C, 2011, IET ELECTR POWER APP, V5, P393, DOI 10.1049/iet-epa.2009.0300 Yu C, 2011, IEEE T IND APPL, V47, P2031, DOI 10.1109/TIA.2011.2161850 Yu C, 2011, IEEE T ENERGY CONVER, V26, P479, DOI 10.1109/TEC.2010.2085048 Zhu XY, 2011, IEEE T MAGN, V47, P3220, DOI 10.1109/TMAG.2011.2154358 Zhu XY, 2011, IEEE T MAGN, V47, P1106, DOI 10.1109/TMAG.2010.2072986 Zhu ZQ, 2007, P IEEE, V95, P746, DOI 10.1109/JPROC.2006.892482 NR 22 TC 5 Z9 5 U1 1 U2 11 PU INST ENGINEERING TECHNOLOGY-IET PI HERTFORD PA MICHAEL FARADAY HOUSE SIX HILLS WAY STEVENAGE, HERTFORD SG1 2AY, ENGLAND SN 1751-8660 EI 1751-8679 J9 IET ELECTR POWER APP JI IET Electr. Power Appl. PD SEP PY 2016 VL 10 IS 8 BP 744 EP 756 DI 10.1049/iet-epa.2015.0427 PG 13 WC Engineering, Electrical & Electronic SC Engineering GA DW9WJ UT WOS:000384013100007 DA 2019-04-09 ER PT J AU Priarone, PC AF Priarone, Paolo C. TI Quality-conscious optimization of energy consumption in a grinding process applying sustainability indicators SO INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY LA English DT Article DE Sustainability indicator; Grinding; Energy consumption; Part quality ID HIGH-SPEED STEEL; PERFORMANCE; TECHNOLOGY AB The rising awareness of energy consumption and the environmental impact of manufacturing underline the need to implement structured approaches, such as a life cycle assessment, or metrics for process evaluation. Energy savings on their own are not sufficient to increase the process efficiency of industrial finishing operations, since the results, in terms of machined part quality, have to be accounted for. The research work presented in this paper applies sustainable development concepts to an industrial case study. A shaping grinding process (a flute grinding operation for tap manufacturing) has been assessed experimentally. The effects of variations in the process parameters have been discussed, with respect to processing time, energy consumption, and product quality/integrity. Whenever the optimization goals are in contrast, a trade-off between product requirements and process sustainability has to be introduced. In order to achieve energy savings, without altering the performance of the product, a specific efficiency sustainability indicator has been implemented and coupled to the life cycle inventory phase. The results provide a tool that can assist the decision-making stage and can be incorporated into a business strategy development framework. C1 [Priarone, Paolo C.] Politecn Torino, Dept Management & Prod Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy. RP Priarone, PC (reprint author), Politecn Torino, Dept Management & Prod Engn, Corso Duca Abruzzi 24, I-10129 Turin, Italy. EM paoloclaudio.priarone@polito.it OI Priarone, Paolo, Claudio/0000-0003-4226-7697 FU Piedmont Region [POR-FESR 2007/13-Asse I] FX The author wishes to thank the Piedmont Region for having funded this research in the framework of the 'Optadi' project (POR-FESR 2007/13-Asse I) and Mr. Roberto Balaso (of UFS Srl, Italy) for the execution of the experimental trials. Prof. Luca Settineri and Mr. Matteo Robiglio of the Politecnico di Torino are also kindly acknowledged for their advice during the manuscript preparation. CR Ashby M. F., 2012, MAT ENV ECOINFORMED Aurich JC, 2013, CIRP ANN-MANUF TECHN, V62, P653, DOI 10.1016/j.cirp.2013.05.010 Badger J, 2007, CIRP ANN-MANUF TECHN, V56, P353, DOI 10.1016/j.cirp.2007.05.081 Baniszewski B, 2005, ENV IMPACT ANAL GRIN Behrendt T, 2012, CIRP ANN-MANUF TECHN, V61, P43, DOI 10.1016/j.cirp.2012.03.103 Brinksmeier E, 2006, CIRP ANN-MANUF TECHN, V55, P667, DOI 10.1016/j.cirp.2006.10.003 Brinksmeier E, 1999, CIRP ANNALS 1999: MANUFACTURING TECHNOLOGY, VOL 48 NO 2 1999, P581, DOI 10.1016/S0007-8506(07)63236-3 Dahmus JB, 2004, P IMECE2004 ASME INT Ding H, 2014, P I MECH ENG B-J ENG, V228, P950, DOI 10.1177/0954405413508280 Duflou JR, 2012, CIRP ANN-MANUF TECHN, V61, P587, DOI 10.1016/j.cirp.2012.05.002 Fathallah B., 2009, INT J MACH TOOL MANU, V49, P261 Garcia E, 2013, J CLEAN PROD, V51, P99, DOI 10.1016/j.jclepro.2013.01.037 Gopal AV, 2003, INT J MACH TOOL MANU, V43, P1327, DOI 10.1016/S0890-6955(03)00165-2 Gutowski T., 2006, P 13 CIRP INT C LIF ISO, 2006, 14040 ISO Kalita P, 2012, J MANUF PROCESS, V14, P160, DOI DOI 10.1016/J.JMAPR0.2012.01.001 Kara S, 2011, CIRP ANN-MANUF TECHN, V60, P37, DOI 10.1016/j.cirp.2011.03.018 Klocke F., 2001, ENCY MAT SCI TECHNOL, P4683 Li W, 2011, P I MECH ENG B-J ENG, V225, P1636, DOI 10.1177/2041297511398541 Li W, 2012, CIRP ANN-MANUF TECHN, V61, P59, DOI 10.1016/j.cirp.2012.03.029 Linke B, 2014, PROC CIRP, V14, P564, DOI 10.1016/j.procir.2014.03.017 Loglisci G., 2013, P 11 GLOB C SUST MAN, P275 Manimaran G, 2014, CRYOGENICS, V59, P76, DOI 10.1016/j.cryogenics.2013.11.005 Montgomery D.C., 2009, DESIGN ANAL EXPT Murray VR, 2012, P I MECH ENG B-J ENG, V226, P1604, DOI 10.1177/0954405412454102 Ness B, 2007, ECOL ECON, V60, P498, DOI 10.1016/j.ecolecon.2006.07.023 Oliveira JFG, 2009, CIRP ANN-MANUF TECHN, V58, P663, DOI 10.1016/j.cirp.2009.09.006 Paul S, 2006, MACH SCI TECHNOL, V10, P87, DOI 10.1080/10910340500534316 Priarone PC, 2012, J MATER PROCESS TECH, V212, P2619, DOI 10.1016/j.jmatprotec.2012.07.021 Sanchez JA, 2010, J CLEAN PROD, V18, P1840, DOI 10.1016/j.jclepro.2010.07.002 Saravanapriyan SNA, 2003, J MATER PROCESS TECH, V134, P166 Shaji S, 2002, INT J MACH TOOL MANU, V42, P733, DOI 10.1016/S0890-6955(01)00158-4 Singh RK, 2012, ECOL INDIC, V15, P281, DOI 10.1016/j.ecolind.2011.01.007 Singh V, 2012, INT J MACH TOOL MANU, V60, P1, DOI 10.1016/j.ijmachtools.2011.11.003 Tawakoli T, 2011, J CLEAN PROD, V19, P2088, DOI 10.1016/j.jclepro.2011.06.020 Veleva V., 2001, J CLEAN PROD, V9, P447, DOI DOI 10.1016/S0959-6526(01)00004-X Winter M, 2014, J CLEAN PROD, V66, P644, DOI 10.1016/j.jclepro.2013.10.031 Winter M, 2014, INT J ADV MANUF TECH, V71, P919, DOI 10.1007/s00170-013-5524-6 NR 38 TC 5 Z9 5 U1 1 U2 10 PU SPRINGER LONDON LTD PI LONDON PA 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND SN 0268-3768 EI 1433-3015 J9 INT J ADV MANUF TECH JI Int. J. Adv. Manuf. Technol. PD SEP PY 2016 VL 86 IS 5-8 BP 2107 EP 2117 DI 10.1007/s00170-015-8310-9 PG 11 WC Automation & Control Systems; Engineering, Manufacturing SC Automation & Control Systems; Engineering GA DV6YZ UT WOS:000383084300079 DA 2019-04-09 ER PT J AU Barkaoui, K Roumet, C Volaire, F AF Barkaoui, Karim Roumet, Catherine Volaire, Florence TI Mean root trait more than root trait diversity determines drought resilience in native and cultivated Mediterranean grass mixtures SO AGRICULTURE ECOSYSTEMS & ENVIRONMENT LA English DT Article DE Aboveground biomass; Grasslands; Plant functional traits; Plant water-use; Rooting depth; Root morphology ID PLANT FUNCTIONAL TRAITS; SOIL-WATER; ECOSYSTEM PRODUCTIVITY; TEMPERATE GRASSLAND; ECONOMICS SPECTRUM; TALL FESCUE; TRADE-OFFS; LEAF-AREA; BIODIVERSITY; SURVIVAL AB Grasslands provide numerous ecosystem services but their sustainability is threatened by climate change. AS plant functional diversity is expected to stabilize ecosystem functions, we tested whether mixing species with contrasting root systems could improve the resilience of Mediterranean grasslands under increasing aridity. We hypothesized that root functional identity (RFI) and diversity (RFD) respectively determines and improves soil water uptake capacity, aboveground biomass (AGB) production and resilience after drought stress (=post-stress AGB/pre-stress AGB). Monocultures, two- and three Species mixtures of two groups of perennial grasses (cultivars and native species) were compared in a twin 3-years field experiment under two levels of summer drought in southern France. RFI and RFD were assessed as the mean and variance of multiple root traits (rooting depth, deep root mass fraction, root tissue density, root diameter and specific root length) measured in species monocultures. AGB and resilience were assessed from annual harvests; total transpirable soil water (TTSW) and evapotranspiration in summer (ET_sum) were assessed through the monitoring of soil water content. For both groups of species, RFI was a major predictor of TTSW and resilience, but not of AGB or ET_sum. Greater water uptake, especially from deep soil layers, increased resilience. Rooting depth distribution determined the potential depth of water uptake while root morphology influenced the precision of water uptake along the soil profile. However, RFD only marginally improved AGB production and resilience, although long-term effects of RFD should be tested. Designing artificial plant communities under water limited conditions should therefore prioritize the maximization of rooting depth and root distribution along the soil profile. Diversifying root morphological traits associated with resource acquisition could also have a positive impact. The similarity of results between cultivars and native species suggests that agro-ecological guidelines for species assembly can be based on advances of functional ecology in natural ecosystems. (C) 2016 Elsevier B.V. All rights reserved. C1 [Barkaoui, Karim] CIRAD, UMR Syst, F-34398 Montpellier, France. [Barkaoui, Karim; Roumet, Catherine] Univ Montpellier, Univ Paul Valery, CNRS, CEFE UMR 5175,EPHE, 1919 Route Mende, F-34293 Montpellier 5, France. [Volaire, Florence] Univ Montpellier, Univ Paul Valery, INRA, CEFE UMR 5175,EPHE, 1919 Route Mende, F-34293 Montpellier 5, France. [Barkaoui, Karim] CIRAD, UMR Syst, F-34398 Montpellier, France. RP Barkaoui, K (reprint author), CIRAD, UMR Syst, F-34398 Montpellier, France.; Barkaoui, K (reprint author), Univ Montpellier, Univ Paul Valery, CNRS, CEFE UMR 5175,EPHE, 1919 Route Mende, F-34293 Montpellier 5, France.; Barkaoui, K (reprint author), CIRAD, UMR Syst, F-34398 Montpellier, France. EM karim.barkaoui@cirad.fr FU INRA project Climagie (ACCAF); ANR [09-STRA-09]; Mediterranean Centre for Environment and Biodiversity (LabEx CeMEB) FX This work was funded by the INRA project Climagie (ACCAF) and the ANR program O2LA (09-STRA-09). This work was carried out with the support of the Mediterranean Centre for Environment and Biodiversity (LabEx CeMEB, www.labex-cemeb.org). We thank Pascal Chapon for his dedicated technical help and the 'Terrain d'experience' platform at CEFE-CNRS for providing all the facilities and technical support. We also thank Marine Birouste, Ezequiel Zamora and Pauline Bristiel for their invaluable help during root harvesting, root trait measurements and explanatory data analysis. CR Allen R. G., 1998, FAO Irrigation and Drainage Paper Bachmann D, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116367 Balvanera P, 2006, ECOL LETT, V9, P1146, DOI 10.1111/j.1461-0248.2006.00963.x Bardgett RD, 2014, TRENDS ECOL EVOL, V29, P692, DOI 10.1016/j.tree.2014.10.006 Bernard-Verdier M, 2012, J ECOL, V100, P1422, DOI 10.1111/1365-2745.12003 Bindi M, 2011, REG ENVIRON CHANGE, V11, pS151, DOI 10.1007/s10113-010-0173-x Bolker BM, 2009, TRENDS ECOL EVOL, V24, P127, DOI 10.1016/j.tree.2008.10.008 Bonin CL, 2012, AGR ECOSYST ENVIRON, V162, P1, DOI 10.1016/j.agee.2012.08.005 BORMAN MM, 1992, AGRON J, V84, P897, DOI 10.2134/agronj1992.00021962008400050025x CAMPBELL BD, 1991, OECOLOGIA, V87, P532, DOI 10.1007/BF00320417 Campbell V, 2011, OIKOS, V120, P399, DOI 10.1111/j.1600-0706.2010.18768.x Chapman N, 2012, TRENDS PLANT SCI, V17, P701, DOI 10.1016/j.tplants.2012.08.001 Ciais P, 2005, NATURE, V437, P529, DOI 10.1038/nature03972 Comas LH, 2011, APPL VEG SCI, V14, P583, DOI 10.1111/j.1654-109X.2011.01136.x Comas LH, 2013, FRONT PLANT SCI, V4, DOI 10.3389/fpls.2013.00442 Cornelissen JHC, 2003, AUST J BOT, V51, P335, DOI 10.1071/BT02124 Craine JM, 2013, FUNCT ECOL, V27, P833, DOI 10.1111/1365-2435.12081 De Deyn GB, 2008, ECOL LETT, V11, P516, DOI 10.1111/j.1461-0248.2008.01164.x de Vries FT, 2012, ECOL LETT, V15, P1230, DOI 10.1111/j.1461-0248.2012.01844.x Diaz S, 2007, P NATL ACAD SCI USA, V104, P20684, DOI 10.1073/pnas.0704716104 EISSENSTAT DM, 1992, J PLANT NUTR, V15, P763, DOI 10.1080/01904169209364361 Falster DS, 2011, J ECOL, V99, P148, DOI 10.1111/j.1365-2745.2010.01735.x Frank DA, 2010, ECOLOGY, V91, P3201, DOI 10.1890/09-1831.1 Freschet GT, 2015, NEW PHYTOL, V206, P1247, DOI 10.1111/nph.13352 GALE MR, 1987, CAN J FOREST RES, V17, P829, DOI 10.1139/x87-131 Gamier E, 2004, ECOLOGY, V85, P2630, DOI DOI 10.1890/03-0799 GARWOOD EA, 1979, J AGR SCI, V93, P25, DOI 10.1017/S0021859600086081 Gaujour E, 2012, AGRON SUSTAIN DEV, V32, P133, DOI 10.1007/s13593-011-0015-3 Giannakopoulos C, 2009, GLOBAL PLANET CHANGE, V68, P209, DOI 10.1016/j.gloplacha.2009.06.001 Goslee SC, 2013, BASIC APPL ECOL, V14, P630, DOI 10.1016/j.baae.2013.09.009 Gross N, 2007, J ECOL, V95, P1296, DOI 10.1111/j.1365-2745.2007.01303.x Hector A, 2010, ECOLOGY, V91, P2213, DOI 10.1890/09-1162.1 Hernandez EI, 2010, PLANT ECOL, V207, P233, DOI 10.1007/s11258-009-9668-2 Hodge A, 2004, NEW PHYTOL, V162, P9, DOI 10.1111/j.1469-8137.2004.01015.x Hooper DU, 2005, ECOL MONOGR, V75, P3, DOI 10.1890/04-0922 Huang BR, 2000, CROP SCI, V40, P196, DOI 10.2135/cropsci2000.401196x IPCC, 2014, CLIMATE CHANGE 2014 Kembel SW, 2005, AM NAT, V166, P216, DOI 10.1086/431287 Lake Philip S., 2013, Ecological Management & Restoration, V14, P20, DOI 10.1111/emr.12016 Laliberte E, 2010, ECOLOGY, V91, P299, DOI 10.1890/08-2244.1 Lambers H, 2008, PLANT PHYSL ECOLOGY Lavorel S, 2012, J ECOL, V100, P128, DOI 10.1111/j.1365-2745.2011.01914.x Lelievre F, 2011, FIELD CROP RES, V121, P333, DOI 10.1016/j.fcr.2010.12.023 Leps J, 2001, OIKOS, V92, P123, DOI 10.1034/j.1600-0706.2001.920115.x Lin BB, 2011, J APPL ECOL, V48, P609, DOI 10.1111/j.1365-2664.2010.01944.x Lopez-Iglesias B, 2014, ACTA OECOL, V56, P10, DOI 10.1016/j.actao.2014.01.003 Loreau M, 1998, OIKOS, V82, P600, DOI 10.2307/3546381 Luo YQ, 1996, OECOLOGIA, V108, P130, DOI 10.1007/BF00333224 Marquard E, 2009, ECOLOGY, V90, P3290, DOI 10.1890/09-0069.1 McLaren JR, 2010, J ECOL, V98, P459, DOI 10.1111/j.1365-2745.2009.01630.x McLaren JR, 2004, OIKOS, V107, P199, DOI 10.1111/j.0030-1299.2004.13155.x Mokany K, 2008, J ECOL, V96, P884, DOI 10.1111/j.1365-2745.2008.01395.x Mommer L, 2010, J ECOL, V98, P1117, DOI 10.1111/j.1365-2745.2010.01702.x Nippert JB, 2007, OECOLOGIA, V153, P261, DOI 10.1007/s00442-007-0745-8 Nippert JB, 2007, OIKOS, V116, P1017, DOI 10.1111/j.2007.0030-1299.15630.x Orwin KH, 2010, J ECOL, V98, P1074, DOI 10.1111/j.1365-2745.2010.01679.x Padilla FM, 2007, FUNCT ECOL, V21, P489, DOI 10.1111/j.1365-2435.2007.01267.x Perez-Ramos IM, 2013, ENVIRON EXP BOT, V87, P126, DOI 10.1016/j.envexpbot.2012.09.004 Perez-Ramos IM, 2012, J ECOL, V100, P1315, DOI 10.1111/1365-2745.12000 Pilgrim ES, 2010, ADV AGRON, V109, P117, DOI 10.1016/S0065-2113(10)09004-8 Poirier M, 2012, GLOBAL CHANGE BIOL, V18, P3632, DOI 10.1111/j.1365-2486.2012.02800.x Prieto I, 2015, J ECOL, V103, P361, DOI 10.1111/1365-2745.12351 Proulx R, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0013382 RATLIFF LF, 1983, SOIL SCI SOC AM J, V47, P770, DOI 10.2136/sssaj1983.03615995004700040032x Ravenek JM, 2014, OIKOS, V123, P1528, DOI 10.1111/oik.01502 Roscher C, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036760 Schmid C, 2015, PLANT SOIL, V391, P283, DOI 10.1007/s11104-015-2419-3 SINCLAIR TR, 1986, AUST J PLANT PHYSIOL, V13, P329, DOI 10.1071/PP9860329 Skinner RH, 2010, CROP SCI, V50, P2178, DOI 10.2135/cropsci2009.08.0461 Skinner RH, 2006, AGRON J, V98, P320, DOI 10.2134/agronj2005.0180a Skinner RH, 2004, CROP SCI, V44, P1361, DOI 10.2135/cropsci2004.1361 Sonnier G, 2010, J VEG SCI, V21, P1014, DOI 10.1111/j.1654-1103.2010.01210.x Supit I, 2010, AGR SYST, V103, P683, DOI 10.1016/j.agsy.2010.08.009 Tubiello FN, 2007, P NATL ACAD SCI USA, V104, P19686, DOI 10.1073/pnas.0701728104 Valverde-Barrantes OJ, 2013, J ECOL, V101, P933, DOI 10.1111/1365-2745.12087 van Ruijven J, 2009, OIKOS, V118, P101, DOI 10.1111/j.1600-0706.2008.17119.x van Ruijven J, 2010, J ECOL, V98, P81, DOI 10.1111/j.1365-2745.2009.01603.x Vile D, 2006, ECOL LETT, V9, P1061, DOI 10.1111/j.1461-0248.2006.00958.x Villeger S, 2008, ECOLOGY, V89, P2290, DOI 10.1890/07-1206.1 Vogel A, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036992 Volaire F, 2009, CROP SCI, V49, P2386, DOI 10.2135/cropsci2009.06.0317 Volaire F, 2001, PLANT SOIL, V229, P225, DOI 10.1023/A:1004835116453 Volaire F, 2008, EUR J AGRON, V29, P116, DOI 10.1016/j.eja.2008.04.008 Volaire F, 2014, EUR J AGRON, V52, P81, DOI 10.1016/j.eja.2013.10.002 von Felten S, 2012, ECOLOGY, V93, P2386, DOI 10.1890/11-1439.1 WEST CP, 1990, ENVIRON EXP BOT, V30, P149, DOI 10.1016/0098-8472(90)90059-D Wijesinghe DK, 2005, J ECOL, V93, P99, DOI 10.1111/j.1365-2745.2004.00934.x Wright IJ, 1999, J ECOL, V87, P85, DOI 10.1046/j.1365-2745.1999.00330.x Yachi S, 1999, P NATL ACAD SCI USA, V96, P1463, DOI 10.1073/pnas.96.4.1463 NR 89 TC 13 Z9 13 U1 8 U2 69 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0167-8809 EI 1873-2305 J9 AGR ECOSYST ENVIRON JI Agric. Ecosyst. Environ. PD SEP 1 PY 2016 VL 231 BP 122 EP 132 DI 10.1016/j.agee.2016.06.035 PG 11 WC Agriculture, Multidisciplinary; Ecology; Environmental Sciences SC Agriculture; Environmental Sciences & Ecology GA DV0FF UT WOS:000382592700012 DA 2019-04-09 ER PT J AU Monsalve, F Zafrilla, JE Cadarso, MA AF Monsalve, Fabio Enrique Zafrilla, Jorge Cadarso, Maria-Angeles TI Where have all the funds gone? Multiregional input-output analysis of the European Agricultural Fund for Rural Development SO ECOLOGICAL ECONOMICS LA English DT Article DE Rural development; Multi-regional input-output analysis; Triple bottom line; European regional policy ID INTERNATIONAL-TRADE; SUSTAINABILITY ASSESSMENT; ECOLOGICAL FOOTPRINT; WATER FOOTPRINT; WORLD-ECONOMY; CONSUMPTION; EMISSIONS; GROWTH; CARBON; UNION AB The new European Agricultural Fund for Rural Development (EAFRD) was purposely established to "contribute to the promotion of sustainable rural development throughout the EU community". This paper addresses the sustainability of the EAFRD from a triple bottom line perspective in a multiregional input-output model. This framework allows us to study both the trade relations within the EU target regions and also the relations of the EU with some other regions in the world. Additionally, the model allows us to determine the losses (leakages) or gains (boosts and feedbacks) of a wide range of effects. On the other hand, this framework allows a simultaneous consideration of socioeconomic and environmental fund effects to identify their causes and flows and to clarify and reallocate benefits and responsibilities across levels and regions. The estimation of direct and indirect impact effects in an EU country clarifies the following: a) how the leakages to other regions generate a final economic impact that redistributes the prior fund distribution; b) how relevant the countries' participation in global production chains are; and c) how the potential existence of an ecological unequal exchange is assessed. The main data originate from the WIOD database and the European Network for Rural Development. (C) 2016 Elsevier B.V. All rights reserved. C1 [Monsalve, Fabio; Enrique Zafrilla, Jorge; Cadarso, Maria-Angeles] Univ Castilla La Mancha, Fac Econ & Business Adm, Plaza Univ 2, Albacete 02071, Spain. RP Monsalve, F (reprint author), Univ Castilla La Mancha, Fac Econ & Business Adm, Plaza Univ 2, Albacete 02071, Spain. EM Fabio.Monsalve@uclm.es RI Monsalve, Fabio/E-8610-2010; Zafrilla, Jorge/I-2803-2015; Cadarso, Maria Angeles/F-4832-2016 OI Monsalve, Fabio/0000-0001-6595-2799; Zafrilla, Jorge/0000-0001-7953-9006; Cadarso, Maria Angeles/0000-0002-5165-7729 FU Ministry of Economy and Competitiveness of Spain [ECO2012-33341]; Regional Government of Castilla-La Mancha [PPII-2014-006-P] FX We thank both the Ministry of Economy and Competitiveness of Spain and the Regional Government of Castilla-La Mancha for funding the research projects, respectively, "ECO2012-33341" and "PPII-2014-006-P", which led to this paper, and two anonymous referees for their valuable comments. CR Lopez LA, 2013, ENERG ECON, V39, P177, DOI 10.1016/j.eneco.2013.05.006 Arto I, 2014, ENERG POLICY, V66, P517, DOI 10.1016/j.enpol.2013.11.046 Arto I, 2014, ENVIRON SCI TECHNOL, V48, P5388, DOI 10.1021/es5005347 Bruckner M, 2012, GLOBAL ENVIRON CHANG, V22, P568, DOI 10.1016/j.gloenvcha.2012.03.011 Bruno GSF, 2012, LABOUR-ENGL, V26, P492, DOI 10.1111/labr.12001 Cadarso MA, 2012, ECOL ECON, V83, P221, DOI 10.1016/j.ecolecon.2012.05.009 Cappelen A, 2003, J COMMON MARK STUD, V41, P621, DOI 10.1111/1468-5965.00438 Cazcarro I, 2013, ECOL ECON, V96, P51, DOI 10.1016/j.ecolecon.2013.09.010 Cazcarro I, 2013, ENVIRON SCI TECHNOL, V47, P12275, DOI 10.1021/es4019964 Chen ZM, 2013, ECOL INDIC, V28, P142, DOI 10.1016/j.ecolind.2012.07.024 Crescenzi R, 2012, PAP REG SCI, V91, P487, DOI 10.1111/j.1435-5957.2012.00439.x Davis S.J., 2014, ENVIRON RES LETT, V9, P9 EC, 1988, B EUR COMM S4 ENRD T.E.N.F.R.D., 2014, STAT TOT PUBL EAFRD Zafrilla JE, 2012, ENERG POLICY, V51, P708, DOI 10.1016/j.enpol.2012.09.011 Espinosa M, 2014, EUR PLAN STUD, V22, P1342, DOI 10.1080/09654313.2013.786683 Ewing BR, 2012, ECOL INDIC, V23, P1, DOI 10.1016/j.ecolind.2012.02.025 Foran B, 2005, ECOL ECON, V52, P143, DOI 10.1016/j.ecolecon.2004.06.024 Giljum S, 2015, J IND ECOL, V19, P792, DOI 10.1111/jiec.12214 Grazi F, 2007, ENVIRON RESOUR ECON, V38, P135, DOI 10.1007/s10640-006-9067-2 Hoekstra A.Y, 2011, WATER FOOTPRINT ASSE Hoekstra AY, 2014, SCIENCE, V344, P1114, DOI 10.1126/science.1248365 Irwin EG, 2010, AM J AGR ECON, V92, P522, DOI 10.1093/ajae/aaq008 Johnson RC, 2012, J INT ECON, V86, P224, DOI 10.1016/j.jinteco.2011.10.003 Junta de Comunidades de Castilla-la Mancha, 2009, PROGR DES RUR CAST L Kanemoto K, 2014, GLOBAL ENVIRON CHANG, V24, P52, DOI 10.1016/j.gloenvcha.2013.09.008 Kanemoto K, 2012, ENVIRON SCI TECHNOL, V46, P172, DOI 10.1021/es202239t Koopman R, 2014, AM ECON REV, V104, P459, DOI 10.1257/aer.104.2.459 Krzywinski M, 2009, GENOME RES, V19, P1639, DOI 10.1101/gr.092759.109 Kucukvar M, 2014, J CLEAN PROD, V81, P234, DOI 10.1016/j.jclepro.2014.06.033 Lenzen M, 2013, ECON SYST RES, V25, P20, DOI 10.1080/09535314.2013.769938 Liu J., 2015, SCIENCE, V347 Llano C, 2009, INVESTIG REG, P181 Lopez L.A., 2011, ESTUD EC APL, V29, P226 Lopez LA., 2016, 21 CENTURY GREAT REC Lopez LA, 2014, ENVIRON SCI TECHNOL, V48, P36, DOI 10.1021/es403708m Meng B., 2014, TRACING CO2 EMISSION, P77 Miller RE., 2009, INPUT OUTPUT ANAL FD Moran DD, 2013, ECOL ECON, V89, P177, DOI 10.1016/j.ecolecon.2013.02.013 OCDE, 2009, METH MON EV IMP AGR Onat NC, 2014, BUILD ENVIRON, V72, P53, DOI 10.1016/j.buildenv.2013.10.009 Perez J, 2009, PAP REG SCI, V88, P509, DOI 10.1111/j.1435-5957.2008.00212.x Peters GP, 2008, ENVIRON SCI TECHNOL, V42, P1401, DOI 10.1021/es072023k Pothen F, 2015, ECOL ECON, V109, P109, DOI 10.1016/j.ecolecon.2014.10.009 Ray C, 2000, J RURAL STUD, V16, P447, DOI 10.1016/S0743-0167(00)00012-7 Schoer K, 2013, ENVIRON SCI TECHNOL, V47, P14282, DOI 10.1021/es404166f Simas M., 2014, J IND ECOL Simas MS, 2014, SUSTAINABILITY-BASEL, V6, P7514, DOI 10.3390/su6117514 Skelton A, 2011, ENVIRON SCI TECHNOL, V45, P10516, DOI 10.1021/es202313e Stamford L, 2014, ENERGY SUSTAIN DEV, V23, P194, DOI 10.1016/j.esd.2014.09.008 Steen-Olsen K, 2012, ENVIRON SCI TECHNOL, V46, P10883, DOI 10.1021/es301949t Steininger K, 2014, GLOBAL ENVIRON CHANG, V24, P75, DOI 10.1016/j.gloenvcha.2013.10.005 Timmer MP, 2015, REV INT ECON, V23, P575, DOI 10.1111/roie.12178 Weinzettel J, 2014, ECOL ECON, V101, P115, DOI 10.1016/j.ecolecon.2014.02.020 Wood R, 2015, SUSTAINABILITY-BASEL, V7, P138, DOI 10.3390/su7010138 Wood R, 2010, ECOL ECON, V69, P1877, DOI 10.1016/j.ecolecon.2010.05.006 WSSD, 2002, PLAN IMPL ACT PLAN Yu Y, 2014, ECOL INDIC, V47, P156, DOI 10.1016/j.ecolind.2014.01.044 Zafrilla JE, 2014, ENVIRON SCI TECHNOL, V48, P14103, DOI 10.1021/es503352s NR 59 TC 4 Z9 4 U1 4 U2 30 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-8009 EI 1873-6106 J9 ECOL ECON JI Ecol. Econ. PD SEP PY 2016 VL 129 BP 62 EP 71 DI 10.1016/j.ecolecon.2016.06.006 PG 10 WC Ecology; Economics; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology; Business & Economics GA DU6UP UT WOS:000382350400007 DA 2019-04-09 ER PT J AU Mincyte, D Dobernig, K AF Mincyte, Diana Dobernig, Karin TI Urban farming in the North American metropolis: Rethinking work and distance in alternative food networks SO ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE LA English DT Article DE Distance; labor; manual work; urban farming; alternative food networks ID COMMUNITY GARDENS; CONSUMPTION; SUSTAINABILITY; AGRICULTURE; POLITICS; PEOPLE; HEALTH; TRADE; LABOR; FAIR AB This article examines the role of manual work in bridging the distance between production and consumption in alternative food networks, particularly in urban farming. Scholars and public commentators often draw on Marxian theories of alienation to suggest that manual work constitutes a key strategy for reconnecting production and consumption, and overcoming the ecological rift between natural processes and modern, agro-industrial production. Focusing on urban farming, this article complicates the picture of unalienated, decommodified labor and points to continuous negotiations between experiences of re-embedding in the community and the environment, and the on-going commodification of the farming experience. We argue that urban farms function as sites of experiential production where farm managers stage work experiences for the volunteers and where visitors build new socialities, reconnect to nature, and accrue social and cultural capital in the context of a global economy that offers limited work opportunities for a generation of highly educated college graduates. Relying on ethnographic fieldwork and 40 semi-structured interviews with employed urban farmers and regular volunteers in metropolitan areas of the Northeastern United States as well as the examination of online and print materials, our analysis highlights the contradictory ways in which manual work in alternative food networks indeed counters alienation, while also reproducing consumer society institutions and reinforcing the core values defining neoliberalism such as productivity and self-improvement. C1 [Mincyte, Diana] CUNY, New York City Coll Technol, Dept Social Sci, 300 Jay St,Namm 611, Brooklyn, NY 11201 USA. [Dobernig, Karin] Univ Appl Sci Wiener, Dept Mkt & Sales, Neustadt, Austria. [Dobernig, Karin] WU Vienna Univ Econ & Business, Inst Ecol Econ, Vienna, Austria. RP Mincyte, D (reprint author), CUNY, New York City Coll Technol, Dept Social Sci, 300 Jay St,Namm 611, Brooklyn, NY 11201 USA. EM dmincyte@citytech.cuny.edu FU Marietta-Blau Grant of the Austrian Agency for International Cooperation in Education and Research (OeAD) FX The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Partial funding by the Marietta-Blau Grant of the Austrian Agency for International Cooperation in Education and Research (OeAD) administered by the Austrian Ministry of Science and Research. CR Ackerman K, 2011, POTENTIAL NEW YORK C Allen JO, 2008, J HUNGER ENVIRON NUT, V3, P418, DOI 10.1080/19320240802529169 Allen P., 2000, AGR HUM VALUES, V17, P221, DOI DOI 10.1023/A:1007640506965 Barndt D., 2008, TANGLED ROUTES WOMEN Barnett C, 2005, ANTIPODE, V37, P23, DOI 10.1111/j.0066-4812.2005.00472.x Bernstein H, 2014, J PEASANT STUD, V41, P1031, DOI 10.1080/03066150.2013.852082 Betjemann P, 2011, TALKING SHOP: THE LANGUAGE OF CRAFT IN AN AGE OF CONSUMPTION, P1 Binford L, 2009, THIRD WORLD Q, V30, P503, DOI 10.1080/01436590902742297 Blay-Palmer Alison, 2008, FOOD FEARS IND SUSTA Boltanski Luc, 2005, NEW SPIRIT CAPITALIS Borgstedt S, 2011, URBAN GARDENING RUCK Bourdieu P, 1986, HDB THEORY RES SOCIO, P241, DOI DOI 10.1002/9780470755679.CH15 Bowen S, 2011, SOCIOL RURALIS, V51, P325, DOI 10.1111/j.1467-9523.2011.00543.x Brown Gillian, 1990, DOMESTIC INDIVIDUALI Busch L, 2011, INFRASTRUCT SER, P1 Campbell C., 2005, J CONSUM CULT, V5, P23, DOI DOI 10.1177/1469540505049843 Carolan M, 2016, COMMUNITY DEV, V47, P530, DOI 10.1080/15575330.2016.1158198 Centner R, 2008, CITY COMMUNITY, V7, P193, DOI 10.1111/j.1540-6040.2008.00258.x Checker M, 2011, CITY SOC, V23, P210, DOI 10.1111/j.1548-744X.2011.01063.x Clapp J, 2015, SUSTAIN SCI, V10, P305, DOI 10.1007/s11625-014-0278-0 Cohen N, 2012, 5 BOROUGH FARM SEEDI Cohen N, 2015, RENEW AGR FOOD SYST, V30, P103, DOI 10.1017/S1742170514000210 Cronon W., 1992, NATURES METROPOLIS C D'Abundo ML, 2008, COMMUNITY DEV, V39, P83, DOI 10.1080/15575330809489660 Deutsch T, 2011, RADICAL HIST REV, P167, DOI 10.1215/01636545-2010-032 DiNovelli-Lang D, 2015, SANA SOC ANTHR N AM DuPuis EM, 2005, J RURAL STUD, V21, P359, DOI 10.1016/j.jrurstud.2005.05.011 Eliasoph N, 2011, PRINC STUD CULT, P1 Eliasoph N, 2012, POLITICS VOLUNTEERIN Ferris J, 2001, SOC POLICY ADMIN, V35, P559, DOI 10.1111/1467-9515.t01-1-00253 Foster JB, 2011, ECOLOGICAL RIFT CAPI Freidberg S, 2011, FRESH PERISHABLE HIS FRIEDMANN H, 1994, FOOD SYST AGRAR CH, P258 GANS H, 1982, URBAN VILLAGERS GROU Gibson-Graham J. K., 2006, POSTCAPITALIST POLIT Gray M, 2013, LABOR LOCAVOER MAKIN Guthman J., 2004, AGRARIAN DREAMS PARA Guthman J, 2008, CULT GEOGR, V15, P431, DOI 10.1177/1474474008094315 Harrison JL, 2011, FOOD HEALTH ENVIRON, P1 Hill A, 2015, AGR HUM VALUES, V32, P551, DOI 10.1007/s10460-014-9576-5 HOLBROOK MB, 1982, J CONSUM RES, V9, P132, DOI 10.1086/208906 Holloway L, 2007, SOCIOL RURALIS, V47, P1, DOI 10.1111/j.1467-9523.2007.00427.x Hudson I, 2003, ORGAN ENVIRON, V16, P413, DOI 10.1177/1086026603258926 Hustinx Lesley, 2001, VOLUNTARY ACTION, V3, P57 Jaffe J, 2006, AGR HUM VALUES, V23, P143, DOI 10.1007/s10460-005-6098-1 Jakob D, 2013, EUR URBAN REG STUD, V20, P447, DOI 10.1177/0969776412459860 Jayaraman Saru, 2013, KITCHEN DOOR Johnston J, 2011, J CONSUM CULT, V11, P293, DOI 10.1177/1469540511417996 Kaufman J., 2000, WORKING PAPER Kneen B., 1993, LAND MOUTH UNDERSTAN Kurtz H, 2001, URBAN GEOGR, V22, P656, DOI 10.2747/0272-3638.22.7.656 Laudan R, 2001, GASTRONOMICA J FOOD, V1, P36, DOI DOI 10.1525/GFC.2001.1.1.36 Lawson L. J., 2005, CITY BOUNTIFUL CENTU Little R, 2010, ENVIRON PLANN A, V42, P1797, DOI 10.1068/a4262 Lovell S. T., 2010, Sustainability, V2, P2499, DOI 10.3390/su2082499 Lyson T. A, 2004, CIVIC AGR RECONNECTI Marsden T, 2013, SUSTAIN SCI, V8, P213, DOI 10.1007/s11625-012-0186-0 Marx Karl, 1964, EC PHILOS MANUSCRIPT Maye D, 2009, ALTERNATIVE FOOD GEO Maye M, 2013, INT J SOCIOLOGY AGR, V20, P383 McClintock N, 2014, LOCAL ENVIRON, V19, P147, DOI 10.1080/13549839.2012.752797 McClintock N, 2010, CAMB J REG ECON SOC, V3, P191, DOI 10.1093/cjres/rsq005 McCormack LA, 2010, J AM DIET ASSOC, V110, P399, DOI 10.1016/j.jada.2009.11.023 McMichael P, 2013, THIRD WORLD Q, V34, P671, DOI 10.1080/01436597.2013.786290 Morgan K., 2008, WORLDS FOOD PLACE PO Pachirat T, 2011, EVERY 12 SECONDS Paxson Heather, 2013, LIFE CHEESE CRAFTING Poppendieck Janet, 1999, SWEET CHARITY EMERGE Princen T., 2002, CONFRONTING CONSUMPT, P103 Pudup MB, 2008, GEOFORUM, V39, P1228, DOI 10.1016/j.geoforum.2007.06.012 Reynolds K, 2015, ANTIPODE, V47, P240, DOI 10.1111/anti.12098 Rosol M, 2012, ANTIPODE, V44, P239, DOI 10.1111/j.1467-8330.2011.00861.x Schor J. B., 2010, PLENITUDE NEW EC TRU Sonnino R., 2012, ENTREP REGION DEV, V25, P272 Sonnino R, 2007, AGR HUM VALUES, V24, P61, DOI 10.1007/s10460-006-9036-y Teig E, 2009, HEALTH PLACE, V15, P1115, DOI 10.1016/j.healthplace.2009.06.003 Terstappen V, 2013, AGR HUM VALUES, V30, P21, DOI 10.1007/s10460-012-9377-7 Tregear A, 2011, J RURAL STUD, V27, P419, DOI 10.1016/j.jrurstud.2011.06.003 Turner B, 2011, LOCAL ENVIRON, V16, P509, DOI 10.1080/13549839.2011.569537 Veen E.J., 2015, THESIS Weis T, 2010, J AGRAR CHANGE, V10, P315, DOI 10.1111/j.1471-0366.2010.00273.x Whatmore S, 2003, ENVIRON PLANN A, V35, P389, DOI 10.1068/a3621 Wilk R, 2008, FOOD CHAINS Williams Raymond, 1973, COUNTRY CITY NR 84 TC 6 Z9 6 U1 4 U2 50 PU SAGE PUBLICATIONS INC PI THOUSAND OAKS PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA SN 0308-518X EI 1472-3409 J9 ENVIRON PLANN A JI Environ. Plan. A PD SEP PY 2016 VL 48 IS 9 BP 1767 EP 1786 DI 10.1177/0308518X16651444 PG 20 WC Environmental Studies; Geography SC Environmental Sciences & Ecology; Geography GA DV1DD UT WOS:000382659300008 DA 2019-04-09 ER PT J AU Watson, RA Green, BS Tracey, SR Farmery, A Pitcher, TJ AF Watson, Reg A. Green, Bridget S. Tracey, Sean R. Farmery, Anna Pitcher, Tony J. TI Provenance of global seafood SO FISH AND FISHERIES LA English DT Article DE Export; import; mapping; seafood ID HUMAN-POPULATION DENSITY; ENVIRONMENTAL SUSTAINABILITY; FOOD SECURITY; REEF FISH; FISHERIES; MANAGEMENT; ILLEGAL; PERSPECTIVES; DRIVERS; MARKETS AB Knowing where and how seafood is caught or farmed is central to empowering consumers, and the importers that supply them, with informed choices. Given the wide-ranging, complex and at times commercially sensitive nature of global seafood trade, it can prove very challenging to link imported seafood with information about its provenance. The databases involved are incomplete, at times vague and not harmonized. Here, we present a first attempt to link all global seafood imports through a virtual marketplace to exports and map their origins. Considerable work remains to ground-truth the specific origins of all seafood commodities. We illustrate the flow of seafood and its evolution since the 1970s when supporting records began. This work allows the impact of fishing or marine farming to be associated with seafood imports. C1 [Watson, Reg A.; Green, Bridget S.; Tracey, Sean R.; Farmery, Anna] Univ Tasmania, Inst Marine & Antarctic Studies, Private Bag 129, Hobart, Tas 7001, Australia. [Pitcher, Tony J.] Univ British Columbia, Fisheries Ctr, Vancouver, BC V6T 1Z4, Canada. RP Watson, RA (reprint author), Univ Tasmania, Inst Marine & Antarctic Studies, Private Bag 129, Hobart, Tas 7001, Australia. EM rwatson@ecomarres.com RI Farmery, Anna/H-9696-2014; Watson, Reg/F-4850-2012 OI Farmery, Anna/0000-0002-8938-0040; Watson, Reg/0000-0001-7201-8865 FU Australian Research Council [DP140101377]; Science and Engineering Council of Canada FX Authors acknowledge the provision of databases developed by the Sea Around Us project, a scientific collaboration between the University of British Columbia and the Pew Environment Group. We thank Bob Gerlt (ESRI - Applications Prototype Lab) for making the procedures we used for mapping the distributed flow of seafood available. R.A.W., B.S.G. and S.T. acknowledge funding support from the Australian Research Council Discovery project support (DP140101377). T.J.P. acknowledges an operating grant from the Science and Engineering Council of Canada. CR Agnew DJ, 2014, ICES J MAR SCI, V71, P216, DOI 10.1093/icesjms/fst091 Agnew DJ, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004570 Anderson K, 2010, PHILOS T R SOC B, V365, P3007, DOI 10.1098/rstb.2010.0131 Asche F, 2015, WORLD DEV, V67, P151, DOI 10.1016/j.worlddev.2014.10.013 Brewer TD, 2013, CONSERV BIOL, V27, P443, DOI 10.1111/j.1523-1739.2012.01963.x Brewer TD, 2012, GLOBAL ENVIRON CHANG, V22, P399, DOI 10.1016/j.gloenvcha.2012.01.006 Cao L, 2015, SCIENCE, V347, P133, DOI 10.1126/science.1260149 Caswell JA, 2006, MAR POLLUT BULL, V53, P650, DOI 10.1016/j.marpolbul.2006.08.007 Cinner JE, 2013, CONSERV BIOL, V27, P453, DOI 10.1111/j.1523-1739.2012.01933.x Crona BI, 2016, FISH FISH, V17, P1175, DOI 10.1111/faf.12109 Delgado C. L., 2003, FISH 2020 SUPPLY DEM Fabinyi M, 2014, CONSERV SOC, V12, P218, DOI 10.4103/0972-4923.138423 FAO, 2014, STAT WORLD FISH AQ 2 FAO, 2014, FISH COMM TRAD FISHS FAO (Food and Agriculture Organization of the United Nations) Fisheries Department, 2009, STAT WORLD FISH AQ 2 FAOSTAT, 2014, FAO STAT DAT Flothmann S, 2010, SCIENCE, V328, P1235, DOI 10.1126/science.1190245 Garcia SM, 2010, PHILOS T R SOC B, V365, P2869, DOI 10.1098/rstb.2010.0171 Garcia-Vazquez E, 2011, J AGR FOOD CHEM, V59, P475, DOI 10.1021/jf103754r Hall S. J., 2011, BLUE FRONTIERS MANAG Johnson AE, 2013, FISH FISH, V14, P281, DOI 10.1111/j.1467-2979.2012.00468.x Kearney J, 2010, PHILOS T R SOC B, V365, P2793, DOI 10.1098/rstb.2010.0149 Kirezieva K, 2015, FOOD CONTROL, V52, P85, DOI 10.1016/j.foodcont.2014.12.030 Lam ME, 2012, B SCI TECHNOL SOC, V32, P31, DOI DOI 10.1177/0270467612444583 Lucas JS, 2012, AQUACULTURE: FARMING AQUATIC ANIMALS AND PLANTS, 2ND EDITION, P1, DOI 10.1002/9781118687932 Marko PB, 2004, NATURE, V430, P309, DOI 10.1038/430309b Marler B, 2013, J ENVIRON HEALTH, V76, P48 McClanahan T, 2015, FISH FISH, V16, P78, DOI 10.1111/faf.12045 Norman-Lopez A, 2014, AUST J AGR RESOUR EC, V58, P43, DOI 10.1111/1467-8489.12020 Pauly D, 2014, FISH FISH, V15, P474, DOI 10.1111/faf.12032 Peterson H. Christopher, 2007, P424 Pitcher T. J., 2014, MARITIME STUDIES, V14, P1 Pitcher TJ, 2013, MAR POLLUT BULL, V74, P506, DOI 10.1016/j.marpolbul.2013.05.045 Pramod G, 2014, MAR POLICY, V48, P102, DOI 10.1016/j.marpol.2014.03.019 Ratner BD, 2014, GLOBAL ENVIRON CHANG, V27, P120, DOI 10.1016/j.gloenvcha.2014.05.006 ROHEIM C, 2004, GLOBAL AGR TRADE DEV, P275 Ruello N., 2011, STUDY COMPOSITION VA Sherman K., 1990, LARGE MARINE ECOSYSY Simmons G, 2014, MAR POLICY, V50, P74, DOI 10.1016/j.marpol.2014.05.013 Smith MD, 2010, SCIENCE, V327, P784, DOI 10.1126/science.1185345 Tilman D, 2014, NATURE, V515, P518, DOI 10.1038/nature13959 Villasante S, 2013, AMBIO, V42, P923, DOI 10.1007/s13280-013-0448-9 von der Heyden S, 2014, B MAR SCI, V90, P123, DOI 10.5343/bms.2012.1079 Watson R, 2004, FISH FISH, V5, P168, DOI 10.1111/j.1467-2979.2004.00142.x Watson RA, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms8365 Watson RA, 2013, FISH FISH, V14, P493, DOI 10.1111/j.1467-2979.2012.00483.x Watson RA, 2013, MAR POLICY, V42, P1, DOI 10.1016/j.marpol.2013.01.022 *WORLD BANK, 2013, WORLD DEV IND, DOI DOI 10.1596/978-0-8213-9575-2 NR 48 TC 24 Z9 24 U1 2 U2 26 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1467-2960 EI 1467-2979 J9 FISH FISH JI Fish. Fish. PD SEP PY 2016 VL 17 IS 3 BP 585 EP 595 DI 10.1111/faf.12129 PG 11 WC Fisheries SC Fisheries GA DU8VW UT WOS:000382494600003 DA 2019-04-09 ER PT J AU McClenachan, L Dissanayake, STM Chen, XJ AF McClenachan, Loren Dissanayake, Sahan T. M. Chen, Xiaojie TI Fair trade fish: consumer support for broader seafood sustainability SO FISH AND FISHERIES LA English DT Article DE Choice experiments; eco-labelling; fair trade; social sustainability; social-ecological systems (SES); sustainable seafood ID WILLINGNESS-TO-PAY; ECOLABELED SEAFOOD; LABELED SEAFOOD; UNITED-STATES; FISHERIES; PREFERENCES; ATTRIBUTES; CHOICE; MAINE; CONSERVATION AB Sustainable seafood initiatives began with efforts to promote and certify seafood sourced from well-managed stocks caught with a reduced impact on the marine environment. More recently, social equity in fisheries has been the subject of increased concern with suggestions that seafood cannot be certified as sustainable if its production results in social harm, such as unfair wages or the use of forced or child labour. Together with local seafood, which has been promoted as an eco-friendly and socially conscious alternative to globally sourced seafood, these initiatives signal a growing interest in fisheries as a social-ecological system. However, this increasingly complex landscape of environmental sustainability and social justice may be difficult for the public and seafood consumers to navigate. Here, we investigate consumer understanding of and responsiveness to a range of seafood sustainability initiatives by testing preferences and willingness to pay (WTP) for seafood across the three types of sustainability: ecological sustainability, local origin and social sustainability. More than half of respondents demonstrated good understandings of both ecological sustainability and social sustainability with respect to seafood, and respondents were willing to pay more for all three types of sustainability. However, WTP for social sustainability benefits was the lowest, and consumers perceived a high degree of overlap of these benefits with those from locally sourced seafood. These results indicate that seafood certification taking a system-wide approach has potential to succeed, but that it will need to emerge in concert with the increased public education about social problems associated with globalized fisheries. C1 [McClenachan, Loren] Colby Coll, Environm Studies Program, 5351 Mayflower Hill Dr, Waterville, ME 04901 USA. [Dissanayake, Sahan T. M.; Chen, Xiaojie] Colby Coll, Dept Econ, 5351 Mayflower Hill Dr, Waterville, ME 04901 USA. RP McClenachan, L (reprint author), Colby Coll, Environm Studies Program, 5351 Mayflower Hill Dr, Waterville, ME 04901 USA. EM lemcclen@colby.edu OI Dissanayake, Sahan/0000-0002-4342-5979 FU Goldfarb Center for Public Affairs and Civic Engagement; Provosts Students' Special Projects Fund at Colby College; Alfred P. Sloan Foundation FX We are grateful to L. McCormick, G. Carpenter and S. Schickler for research assistance and to funding provided by the Goldfarb Center for Public Affairs and Civic Engagement, the Provosts Students' Special Projects Fund at Colby College and the Alfred P. Sloan Foundation. CR Alden R., 2011, MAINE POLICY REV, V210, P87 Bailey M, 2016, FISHERIES RES Boxall PC, 1996, ECOL ECON, V18, P243, DOI 10.1016/0921-8009(96)00039-0 Brashares JS, 2014, SCIENCE, V345, P376, DOI 10.1126/science.1256734 Brinson A, 2011, MAR POLICY, V35, P542, DOI 10.1016/j.marpol.2011.01.014 Campbell LM, 2014, SOC NATUR RESOUR, V27, P88, DOI 10.1080/08941920.2013.842276 Carlsson F, 2003, ECOL ECON, V47, P95, DOI 10.1016/j.ecolecon.2002.09.003 Carlsson F., 2003, EC ISSUES, V8, P83 Cinner JE, 2007, BIOL CONSERV, V140, P201, DOI 10.1016/j.biocon.2007.08.008 DAYTON PK, 1995, AQUAT CONSERV, V5, P205, DOI 10.1002/aqc.3270050305 Dissanayake STM, 2014, LAND ECON, V90, P237, DOI 10.3368/le.90.2.237 Erwann C, 2009, OCEAN COAST MANAGE, V52, P250, DOI 10.1016/j.ocecoaman.2009.03.003 Fitzgerald T., 2015, NATL GEOGRAPHIC Gutierrez NL, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0043765 Hensher D. A, 2005, APPL CHOICE ANAL PRI Hensher DA, 2003, TRANSPORTATION, V30, P133, DOI 10.1023/A:1022558715350 Hole A. R., 2013, UK STAT US GROUP M Howard PH, 2010, RURAL SOCIOL, V75, P244, DOI 10.1111/j.1549-0831.2009.00009.x Jacquet J, 2015, IS SHAME NECESSARY N Jacquet J, 2010, NATURE, V467, P28, DOI 10.1038/467028a Jacquet JL, 2007, MAR POLICY, V31, P308, DOI 10.1016/j.marpol.2006.09.003 Jaffry S, 2004, FOOD POLICY, V29, P215, DOI 10.1016/j.foodpol.2004.04.001 Jittapong K., 2015, REUTERS 0615 JOHNSON JD, 1994, ANN TOURISM RES, V21, P629, DOI 10.1016/0160-7383(94)90124-4 Johnston RJ, 2001, J AGR RESOUR ECON, V26, P20 Kuhfeld WE., 2010, MARKETING RES METHOD Leal MC, 2015, TRENDS BIOTECHNOL, V33, P331, DOI 10.1016/j.tibtech.2015.03.003 Louviere J. J, 2000, STATED CHOICE METHOD Mason M., 2015, ASS PRESS 1214 McClenachan L, 2015, ECOL SOC, V20, DOI 10.5751/ES-07585-200231 McClenachan L, 2015, MAR POLICY, V52, P26, DOI 10.1016/j.marpol.2014.10.023 McClenachan L, 2014, FISH RES, V157, P62, DOI 10.1016/j.fishres.2014.03.016 Micheli F, 2014, FRONT ECOL ENVIRON, V12, P297, DOI 10.1890/110257 Myers RA, 2003, NATURE, V423, P280, DOI 10.1038/nature01610 Myers RA, 2007, SCIENCE, V315, P1846, DOI 10.1126/science.1138657 Olesen I, 2010, LIVEST SCI, V127, P218, DOI 10.1016/j.livsci.2009.10.001 Roheim CA, 2011, J AGR ECON, V62, P655, DOI 10.1111/j.1477-9552.2011.00299.x Rosenberg AA, 2005, FRONT ECOL ENVIRON, V3, P84, DOI 10.2307/3868514 Smith MD, 2000, RURAL SOCIOL, V65, P396, DOI 10.1111/j.1549-0831.2000.tb00036.x Steneck RS, 2011, CONSERV BIOL, V25, P904, DOI 10.1111/j.1523-1739.2011.01717.x Stoll JS, 2015, ECOL SOC, V20, DOI 10.5751/ES-07686-200240 Taufique KMR, 2014, SUSTAINABILITY-BASEL, V6, P2176, DOI 10.3390/su6042176 Turner RK, 2003, ECOL ECON, V46, P493, DOI 10.1016/S0921-8009(03)00189-7 Tyrvainen L, 2014, FOREST POLICY ECON, V47, P4, DOI 10.1016/j.forpol.2013.05.007 Watling L, 1998, CONSERV BIOL, V12, P1180, DOI 10.1046/j.1523-1739.1998.0120061180.x Weber CL, 2008, ENVIRON SCI TECHNOL, V42, P3508, DOI 10.1021/es702969f WESSELLS CR, 1995, J CONSUM AFF, V29, P85, DOI 10.1111/j.1745-6606.1995.tb00040.x Wessells CR, 1999, AM J AGR ECON, V81, P1084, DOI 10.2307/1244088 Witkin T, 2015, FISH RES, V168, P56, DOI 10.1016/j.fishres.2015.03.019 Xu P, 2012, FOOD CONTROL, V28, P74, DOI 10.1016/j.foodcont.2012.04.008 NR 50 TC 19 Z9 19 U1 3 U2 36 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1467-2960 EI 1467-2979 J9 FISH FISH JI Fish. Fish. PD SEP PY 2016 VL 17 IS 3 BP 825 EP 838 DI 10.1111/faf.12148 PG 14 WC Fisheries SC Fisheries GA DU8VW UT WOS:000382494600015 DA 2019-04-09 ER PT J AU Donoso, G Blanco, E Franco, G Lira, J AF Donoso, G. Blanco, E. Franco, G. Lira, J. TI Water footprints and irrigated agricultural sustainability: the case of Chile SO INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT LA English DT Article DE Agricultural water footprint; water productivity; crop consumptive water use; Chile ID CONSUMPTION; COUNTRIES; BALANCE; TRADE AB This paper estimates the agricultural production water footprint (WF) of Chile, assessing green, blue and grey WFs of the main agricultural products for the main productive regions, taking into account climatic and soil differences. Chile's agricultural production blue WF is geographically concentrated in the lower portion of the Northern Dry Pacific and Central Chile area, which present less water availability. Thus, irrigated agricultural production in Chile, a semiarid country, is characterized by high water stress. In this scenario, public policies are required to incentivize better water management in order to reduce water vulnerability while boosting development. C1 [Donoso, G.; Blanco, E.] Pontificia Univ Catolica Chile, Dept Agr Econ, Santiago, Chile. [Donoso, G.; Blanco, E.] Pontificia Univ Catolica Chile, Water Law & Econ Ctr, Santiago, Chile. [Franco, G.] Fdn Conservac Tierra Austral, Santiago, Chile. [Lira, J.] Inst Nacl Estadist, Santiago, Chile. RP Donoso, G (reprint author), Pontificia Univ Catolica Chile, Dept Agr Econ, Santiago, Chile.; Donoso, G (reprint author), Pontificia Univ Catolica Chile, Water Law & Econ Ctr, Santiago, Chile. EM gdonosoh@uc.cl RI Donoso, Guillermo/A-1643-2012 OI Donoso, Guillermo/0000-0001-9958-4787 CR Aldaya M., 2008, J SUSTAINABLE WATER, V3, P15 Allen R. G., 2006, CROP EV GUID DET WAT Antonelli M, 2015, INT J WATER RESOUR D, V31, P326, DOI 10.1080/07900627.2015.1030496 Bates BC, 2008, CAMBIO CLIMATICO AGU Bhattarai M, 2002, IRRIGATION IMPACTS I Chahed J, 2015, INT J WATER RESOUR D, V31, P407, DOI 10.1080/07900627.2015.1040543 Chapagain AK, 2006, ECOL ECON, V60, P186, DOI 10.1016/j.ecolecon.2005.11.027 CNR, 2010, MEJ EF HIDR SECT AGR DGA, 2014, DGA B HIDR Dickin S., 2013, 1303 GWF Direccion Meteorologica de Chile, 2014, AN AGR Donoso G, 1999, WATER SCI TECHNOL, V39, P49, DOI 10.1016/S0273-1223(99)00031-1 Donoso G, 2014, WATER FOOD WELLBEING, P261 FAO, 2008, FAOSTAT ON LIN DAT FAO, 2013, GLOB MAP MONTHL REF FAO, 2008, AQUASTAT ON LIN DAT FAO, 2008, GLOB INF EARL WARN S Gerbens-Leenes W, 2012, ENVIRON INT, V40, P202, DOI 10.1016/j.envint.2011.06.006 Gerbens-Leenes W, 2009, P NATL ACAD SCI USA, V106, P10219, DOI 10.1073/pnas.0812619106 Hoekstra A., 2009, WATER FOOTPRINT ASSE Hoekstra A.Y, 2011, WATER FOOTPRINT ASSE Hung P. Q., 2002, VALUE WATER RES REPO, V11 INE, 2007, CENS AGR 2007 INE, 2014, CENS AGR INIA, 2009, SEM MAN AGR IND OL Jewitt G., 2009, HYDROL EARTH SYST SC, V6, pC2254 Lawrence P., 2002, KEELE EC RES PAPERS Llamas MR, 2012, WATER AGR ENV SPAIN Luzio L. W., 1992, Agricultura Tecnica (Santiago), V52, P347 Mekonnen M. M., 2011, VALUE WATER RES REPO Molden D., 2007, WATER FOOD WATER LIF, V1, P279 Pena H., 2011, TEAM PRIOR POL NAC R Pfister S, 2009, ENVIRON SCI TECHNOL, V43, P4098, DOI 10.1021/es802423e Postle M, 2012, ASSESSMENT EFFICIENC Rodriguez S., 1993, MANUAL FERTILIZACION Sullivan C, 2002, WORLD DEV, V30, P1195, DOI 10.1016/S0305-750X(02)00035-9 Vanham D, 2012, WATER SCI TECHNOL, V66, P549, DOI 10.2166/wst.2012.201 Vanham D, 2013, ECOL INDIC, V26, P61, DOI 10.1016/j.ecolind.2012.10.021 Wackernagel M., 1996, ENVIRON URBAN, V8, P216 Wichelns D., 2013, WATER FOOTPRINTS POL Witmer M. C. H., 2012, PBL PUBLICATION, V500007001 World Bank, 2011, DIAGN GEST REC HIDR, V63392 Yang H, 2002, WORLD DEV, V30, P1413, DOI 10.1016/S0305-750X(02)00047-5 NR 43 TC 5 Z9 5 U1 0 U2 28 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0790-0627 EI 1360-0648 J9 INT J WATER RESOUR D JI Int. J. Water Resour. Dev. PD SEP PY 2016 VL 32 IS 5 BP 738 EP 748 DI 10.1080/07900627.2015.1070710 PG 11 WC Water Resources SC Water Resources GA DT3UH UT WOS:000381406100005 DA 2019-04-09 ER PT J AU Schindler, J Graef, F Konig, HJ Mchau, D Saidia, P Sieber, S AF Schindler, Jana Graef, Frieder Koenig, Hannes Jochen Mchau, Devotha Saidia, Paul Sieber, Stefan TI Sustainability impact assessment to improve food security of smallholders in Tanzania SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW LA English DT Article DE Sustainability; Impact assessment; Food security; Smallholder farmers; Agricultural upgrading strategies; Tanzania ID AGRICULTURE; MANAGEMENT; SYSTEMS; INTENSIFICATION; STRATEGIES; SCENARIOS; FRAMEWORK; RESOURCE; GENDER AB The objective of this paper was to assess the sustainability impacts of planned agricultural development interventions, so called upgrading strategies (UPS), to enhance food security and to identify what advantages and risks are assessed from the farmer's point of view in regards to social life, the economy and the environment. We developed a participatory methodological procedure that links food security and sustainable development. Farmers in four different case study villages in rural Tanzania chose their priority UPS. For these UPS, they assessed the impacts on locally relevant food security criteria. The positive impacts identified were mainly attributed to increased agricultural production and its related positive impacts such as increased income and improved access to necessary means to diversify the diet. However, several risks of certain UPS were also indicated by farmers, such as increased workload, high maintenance costs, higher competition among farmers, loss of traditional knowledge and social conflicts. We discussed the strong interdependence of socio-economic and environmental criteria to improve food security for small-scale farmers and analysed several trade-offs in regards to UPS choices and food security criteria. We also identified and discussed the advantages and challenges of our methodological approach. In conclusion, the participatory impact assessment on the farmer level allowed a locally specific analysis of the various positive and negative impacts of UPS on social life, the economy and the environment. We emphasize that only a development approach that considers social, economic and environmental challenges simultaneously can enhance food security. (C) 2016 Elsevier Inc All rights reserved. C1 [Schindler, Jana; Graef, Frieder; Koenig, Hannes Jochen] Leibniz Ctr Agr Landscape Res ZALF, Inst Land Use Syst, Eberswalder Str 84, D-15374 Muncheberg, Germany. [Schindler, Jana] Humboldt Univ, Fac Agr & Hort, Invalidenstr 42, D-10099 Berlin, Germany. [Mchau, Devotha] ARI Hombolo Makutupora, POB 1676, Dodoma, Tanzania. [Saidia, Paul] SUA Morogoro, Dept Crop Sci & Prod, POB 3005, Morogoro, Tanzania. [Sieber, Stefan] Leibniz Ctr Agr Landscape Res ZALF, Inst Socio Econ, Eberswalder Str 84, D-15374 Muncheberg, Germany. RP Schindler, J (reprint author), Leibniz Ctr Agr Landscape Res ZALF, Inst Land Use Syst, Eberswalder Str 84, D-15374 Muncheberg, Germany. EM jana.schindler@zalf.de; graef@zalf.de; hkoenig@zalf.de; dvtmchau@yahoo.com; saidiapaul@gmail.com; stefan.sieber@zalf.de RI Konig, Hannes/I-1964-2012 OI Konig, Hannes/0000-0002-4980-7388 FU German Federal Ministry of Education and Research (BMBF); German Federal Ministry for Economic Cooperation and Development (BMZ) FX This publication is a product of the project Trans-SEC (www.trans-sec.org). The German Federal Ministry of Education and Research (BMBF) has funded the project, and the German Federal Ministry for Economic Cooperation and Development (BMZ) has co-financed the project Trans-SEC. The views expressed are purely those of the authors and may not under any circumstances be regarded as stating an official position of the BMBF and BMZ. CR Alvarez S, 2010, DEV PRACT, V20, P946, DOI 10.1080/09614524.2010.513723 Bagayoko M, 2011, AFR J AGR RES, V6, P1141 Baur H, 2003, AGR SYST, V78, P329, DOI 10.1016/S0308-521X(03)00132-X Becker D. R., 2003, ENVIRON IMPACT ASSES, V23, P367, DOI DOI 10.1016/S0195-9255(02)00098-7 Benson T., 2013, POLICY NOTE, V17 Bond A, 2012, IMPACT ASSESSMENT AN, V30, P53, DOI DOI 10.1080/14615517.2012.661974 Bond A., 2013, SUSTAINABILITY ASSES, P216 Bond AJ, 2011, ENVIRON IMPACT ASSES, V31, P1, DOI 10.1016/j.eiar.2010.01.007 Chianu JN, 2012, AGRON SUSTAIN DEV, V32, P545, DOI 10.1007/s13593-011-0050-0 Crewett W., 2011, OPERATIONAL ASSESSME Croppenstedt A, 2013, WORLD BANK RES OBSER, V28, P79, DOI 10.1093/wbro/lks024 Dethier JJ, 2012, ECON SYST, V36, P175, DOI 10.1016/j.ecosys.2011.09.003 Douthwaite B., 2007, CANADIAN J PROGRAM E, V22, P127 EC-FAO, 2008, INTR BAS CONC FOOD S Ezezika OC, 2013, J AGR ENVIRON ETHIC, V26, P461, DOI 10.1007/s10806-012-9396-9 FAO, 2009, DECL WORLD SUMM FOOD FAO, 2011, WOM AGR CLOS GEND GA FAO IFAD and WFP, 2013, STAT FOOD INS WORLD Galhena D.H., 2013, AGR FOOD SECURITY, V2, P1, DOI DOI 10.1186/2048-7010-2-8 Garnett T, 2013, SCIENCE, V341, P33, DOI 10.1126/science.1234485 Gibson R., 2005, SUSTAINABILITY ASSES Gibson R.B., 2006, IMPACT ASSESS PROJ A, V24, P170, DOI DOI 10.3152/147154606781765147 Giller KE, 2011, AGR SYST, V104, P191, DOI 10.1016/j.agsy.2010.07.002 Graef F, 2015, OUTLOOK AGR, V44, P179, DOI 10.5367/oa.2015.0209 Graef F, 2015, OUTLOOK AGR, V44, P159, DOI 10.5367/oa.2015.0206 Graef F, 2014, GLOB FOOD SECUR-AGR, V3, P8, DOI 10.1016/j.gfs.2014.01.001 Hacking T, 2008, ENVIRON IMPACT ASSES, V28, P73, DOI 10.1016/j.ciar.2007.03.002 Hayelom B. T., 2014, AFRICAN J PLANT SCI, V8, P492 Helming K, 2011, ECOLOGY AND SOCIETY, V16, P1 Hulme D, 2000, WORLD DEV, V28, P79, DOI 10.1016/S0305-750X(99)00119-9 Ikele I.I., 2014, IOSR J APPL CHEM, V7, P77 International Assessment of Agricultural Knowledge Science and Technology for Development (IAASTD)., 2009, AGR CROSSR GLOB REP International Fund for Agricultural Development (IFAD), 2013, SMALLH FOOD SEC ENV Jakobsen H, 2012, QUAL RES, V12, P111, DOI 10.1177/1468794111416145 Kadigi I.L., 2013, J AGR EC RURAL DEV, V1, P1 Kimaro AA, 2007, AGROFOREST SYST, V71, P175, DOI 10.1007/s10457-007-9061-x Konig HJ, 2013, J ENVIRON MANAGE, V127, pS56, DOI 10.1016/j.jenvman.2012.10.021 Konig HJ, 2012, ENVIRON MANAGE, V50, P153, DOI 10.1007/s00267-012-9865-y Konig H. J., 2010, Sustainability, V2, P1991, DOI 10.3390/su2071991 Kristjanson P, 2002, AGR SYST, V72, P73, DOI 10.1016/S0308-521X(01)00068-3 Kshirsagar MP, 2014, RENEW SUST ENERG REV, V30, P580, DOI 10.1016/j.rser.2013.10.039 Lisch R., 2014, MEASURING SERVICE PE Mahoo H. F., 2012, WATER HARVESTING TEC Mayoux L., 2005, Journal of International Development, V17, P187, DOI 10.1002/jid.1209 Mayoux L., 2005, J INT DEV, V17, P211, DOI DOI 10.1002/jid.1211 MAYOUX Linda, 2005, J INT DEV, V17, P271, DOI DOI 10.1002/JID.1214 McKenzie F. C., 2015, FOOD SECUR Mejia D, 2003, POSTHARVEST OPERATIO Millstone E, 2010, IDS BULL-I DEV STUD, V41, P75, DOI 10.1111/j.1759-5436.2010.00185.x Mlozi M.R. S., 2003, LIVEST RES RURAL DEV, V15 Mnenwa R, 2010, 104 REPOA Morris JB, 2011, ECOL SOC, V16 Morrison-Saunders A, 2014, ENVIRON IMPACT ASSES, V45, P38, DOI 10.1016/j.eiar.2013.12.001 Prasantha BDR, 2014, J STORED PROD RES, V59, P158, DOI 10.1016/j.jspr.2014.07.003 Purushothaman Seema, 2013, International Journal of Biodiversity Science Ecosystem Services & Management, V9, P2, DOI 10.1080/21513732.2012.721005 Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014 Ridder D, 2005, REG ENVIRON CHANGE, V5, P188, DOI 10.1007/s10113-004-0089-4 Roy SK, 2005, J HEALTH POPUL NUTR, V23, P320 Rural livelihood development company (RLDC), 2008, SUNFL SECT MARK DEV Sanginga N., 2009, INTEGRATED SOIL FERT Schindler J., 2016, FOOD SECUR SCI UNPUB Schindler J, 2015, AGRON SUSTAIN DEV, V35, P1043, DOI 10.1007/s13593-015-0305-2 Silvestrini S., 2011, EXANTE EVALUATION PL Tittonell P, 2007, AGR SYST, V95, P76, DOI 10.1016/j.agsy.2007.04.002 Uckert G., 2016, FOOD SECUR SCI UNPUB United States Agency for International Development (USAID), 2008, PREL RUR LIV ZON TAN URT, 2006, TANZ 2002 CENS AN RE, VX URT, 2011, TANZ DEM HLTH SURV 2 URT United Republic of Tanzania, 2011, TANZ 5 YEAR DEV PLAN WFP, 2014, WHAT IS FOOD SEC WFP, 2013, COMPR FOOD SEC VULN WSSD, 2002, WORLD SUMM SUST DEV Zimmerer KS, 2015, CURR OPIN ENV SUST, V14, P49, DOI 10.1016/j.cosust.2015.03.004 NR 73 TC 10 Z9 10 U1 1 U2 30 PU ELSEVIER SCIENCE INC PI NEW YORK PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA SN 0195-9255 EI 1873-6432 J9 ENVIRON IMPACT ASSES JI Environ. Impact Assess. Rev. PD SEP PY 2016 VL 60 BP 52 EP 63 DI 10.1016/j.eiar.2016.04.006 PG 12 WC Environmental Studies SC Environmental Sciences & Ecology GA DS2IH UT WOS:000380592300005 DA 2019-04-09 ER PT J AU Weldu, YW Assefa, G AF Weldu, Yemane W. Assefa, Getachew TI Evaluating the environmental sustainability of biomass-based energy strategy: Using an impact matrix framework SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW LA English DT Article DE Biomass; Energy strategy; Sustainability; Human health; Climate change; Ecosystem quality ID FIRED POWER-PLANTS; WASTE MANAGEMENT; WOODY BIOMASS; EMISSIONS; COAL; SUBSTITUTION; BIOFUEL; COSTS AB A roadmap for a more sustainable energy strategy is complex, as its development interacts critically with the economic, social, and environmental dimensions of sustainable development. This paper applied an impact matrix method to evaluate the environmental sustainability and to identify the desirable policy objectives of biomass based energy strategy for the case of Alberta. A matrix with the sustainability domains on one axis and areas of environmental impact on the other was presented to evaluate the nexus effect of policy objectives and bioenergy production. As per to our analysis, economic diversification, technological innovation, and resource conservation came up as the desirable policy objectives of sustainable development for Alberta because they demonstrated environmental benefits in all environmental impact categories, namely climate change, human health, and ecosystem. On the other hand, human health and ecosystem impacts were identified as trade-offs when the policy objectives for sustainability were energy security, job creation, and climate change. Thus, bioenergy can mitigate climate change but may impact human health and ecosystem which then in turn can become issues of concern. Energy strategies may result in shifting of risks from one environmental impact category to another, and from one sustainable domain to another if the technical and policy-related issues are not identified. (C) 2016 Elsevier Inc. All rights reserved. C1 [Weldu, Yemane W.; Assefa, Getachew] Univ Calgary, Fac Environm Design, Alberta 2500, Univ Dr NW, Calgary, AB T2N 1N4, Canada. [Assefa, Getachew] Athena Chair Life Cycle Assessment Design, Calgary, AB, Canada. RP Weldu, YW (reprint author), Univ Calgary, Fac Environm Design, Alberta 2500, Univ Dr NW, Calgary, AB T2N 1N4, Canada. EM ywweldem@ucalgaiy.ca FU Alberta Innovates Bio Solutions FX The authors are grateful to Alberta Innovates Bio Solutions for financially supporting this research. CR Aguilar F, 2009, J FOREST, V107, P297 Alberta Energy, 2014, EL SYST IMPR Alberta Environment and Parks, 2014, LANDS FOR [Anonymous], 2012, INN SUST GROWTH BIOE [Anonymous], 2013, NAT INV REP 1990 201 Basu P, 2011, RENEW ENERG, V36, P282, DOI 10.1016/j.renene.2010.06.039 BC Committee on Bio-Economy, 2011, BC BIO EC Biomass Energy Centre, 2014, TYP CAL VAL FUELS Bradley D., 2010, BIOENERGY TASK, V40 Bradley D, 2008, CVPR, P1 Cespi D, 2014, INT J LIFE CYCLE ASS, V19, P89, DOI 10.1007/s11367-013-0611-3 Cherubini F, 2009, RESOUR CONSERV RECY, V53, P434, DOI 10.1016/j.resconrec.2009.03.013 Clarke S., 2011, BIOMASS DENSIFICATIO Craig Kevin R., 1996, COST PERFORMANCE ANA De S, 2009, BIOMASS BIOENERG, V33, P283, DOI 10.1016/j.biombioe.2008.07.005 Dwivedi P, 2011, BIOENERG RES, V4, P180, DOI 10.1007/s12155-010-9111-5 Ekvall T, 2007, WASTE MANAGE, V27, P989, DOI 10.1016/j.wasman.2007.02.015 Fakhraei H., 2014, COBENEFITS CARBON ST Fargione J, 2008, SCIENCE, V319, P1235, DOI 10.1126/science.1152747 Government of Alberta, 2009, ALB PROV EN STRAT Grammelis P, 2006, INT J ENERG RES, V30, P763, DOI 10.1002/er.1182 Haines A, 2012, BMJ-BRIT MED J, V344, DOI 10.1136/bmj.e1018 Hoffmann BS, 2012, BIOMASS BIOENERG, V45, P295, DOI 10.1016/j.biombioe.2012.06.016 House T. W., 2012, IND BIOTECHNOL, V8, P97, DOI DOI 10.1089/IND.2012.1524 Hughes E, 2000, BIOMASS BIOENERG, V19, P457, DOI 10.1016/S0961-9534(00)00057-X James D., 2009, 1749 ALB EN RES I EN Joelsson J, 2012, ENERGY, V43, P448, DOI 10.1016/j.energy.2012.03.050 Jordaan S.M., 2007, ETHICS SCI ENV POLIT, V2007, P23 Jorgensen M. S., 2012, ENV ENG MANAG J, V11 Katers J. F., 2012, FOR PROD J, V62 Kiel J, 2007, IEA BIOEN TASK 32 WO Kralovic P., 2006, ROLE RENEWABLE ENERG ljas A., 2010, ENV IMPACT ASSES, V30, P82 Malca J, 2006, ENERGY, V31, P3362, DOI 10.1016/j.energy.2006.03.013 Marland G, 1997, BIOMASS BIOENERG, V13, P389, DOI 10.1016/S0961-9534(97)00027-5 Matthews R., 2005, ANSWERS 10 FREQUENTL, V38 Mckechnie J, 2011, ENVIRON SCI TECHNOL, V45, P789, DOI 10.1021/es1024004 Moore M., 2010, 109 SPP Morrissey AJ, 2004, WASTE MANAGE, V24, P297, DOI 10.1016/j.wasman.2003.09.005 Munasinghe M., 2004, ENCY ENERGY, V5, P789, DOI 10.1016/B0-12-176480-X/00441-1 Pa A., 2010, DEV BRIT COLUMBIA WO PASTAKIA CMR, 1998, ENVIRON IMPACT ASSES, V18, P461 Remais J. V., 2014, ENV HLTH PERSPECT Ruhul K. M., 2012, BIORESOURCE TECHNOL, V124, P394, DOI [10.1016/j.biortech.2012.07.106, DOI 10.1016/J.BIORTECH.2012.07.106] Sathre R, 2010, ENVIRON SCI POLICY, V13, P104, DOI 10.1016/j.envsci.2009.12.005 Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 Sikkema R, 2011, BIOFUEL BIOPROD BIOR, V5, P226, DOI 10.1002/bbb.285 Singh R., 2012, IND BIOTECHNOLOGY, V8, P94 Sokhansanj S., 2006, COST BENEFIT BIOMASS Solli C, 2009, INT J LIFE CYCLE ASS, V14, P517, DOI 10.1007/s11367-009-0086-4 Statistics Canada, 2012, EN STAT HDB Statistics Canada, 2014, INF AN RES Streimikiene D., 2009, ENV RES ENG MANAG, V48, P51 Swarr TE, 2011, INT J LIFE CYCLE ASS, V16, P389, DOI 10.1007/s11367-011-0287-5 Thek G, 2004, BIOMASS BIOENERG, V27, P671, DOI 10.1016/j.biombioe.2003.07.007 Veltman K, 2010, ENVIRON SCI TECHNOL, V44, P1496, DOI 10.1021/es902116r Wang Y, 2009, CHINA SUSTAINABLE DE Weldemichael Y, 2016, J CLEAN PROD, V112, P4257, DOI 10.1016/j.jclepro.2015.08.118 Zhang Y, 2009, CAN ENV SCI TECHNOL, V44, P538, DOI DOI 10.1021/ES902555A NR 59 TC 7 Z9 7 U1 0 U2 18 PU ELSEVIER SCIENCE INC PI NEW YORK PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA SN 0195-9255 EI 1873-6432 J9 ENVIRON IMPACT ASSES JI Environ. Impact Assess. Rev. PD SEP PY 2016 VL 60 BP 75 EP 82 DI 10.1016/j.eiar.2016.05.005 PG 8 WC Environmental Studies SC Environmental Sciences & Ecology GA DS2IH UT WOS:000380592300007 DA 2019-04-09 ER PT J AU Bardos, RP Jones, S Stephenson, I Menger, P Beumer, V Neonato, F Maring, L Ferber, U Track, T Wendler, K AF Bardos, R. Paul Jones, Sarah Stephenson, Ian Menger, Pierre Beumer, Victor Neonato, Francesca Maring, Linda Ferber, Uwe Track, Thomas Wendler, Katja TI Optimising value from the soft re-use of brownfield sites SO SCIENCE OF THE TOTAL ENVIRONMENT LA English DT Article DE Brownfields restoration; Soft re-use of land; Options appraisal; Decision support; Sustainability assessment; Sustainability linkages; Conceptual site models ID ECOSYSTEM SERVICES; SUSTAINABILITY ASSESSMENT; IMPACT ASSESSMENT; LAND REMEDIATION; URBAN AREAS; TRADE-OFFS; REGENERATION; PRINCIPLES; MANAGEMENT; POLICIES AB Soft re-use of brownfields describes intended temporary or final re-uses of brownfield sites which are not based on built constructions or infrastructure ('hard' re-use). Examples of soft re-uses include the creation of public green space. These are essentially uses where the soil is not sealed. Often the case for soft re-use of brownfields has not been easy to demonstrate in strictly financial terms. The purpose of this paper is to describe a value based approach to identify and optimise services provided by the restoration of brownfields to soft re-uses, on a permanent or interim basis. A 'Brownfield Opportunity Matrix' is suggested as means of identifying and discussing soft restoration opportunities. The use of 'sustainability linkages' is suggested as a means of understanding the sustainability of the services under consideration and providing a structure for the overall valuation of restoration work, for example as part of design or option appraisal processes, or to support the solicitation of interest in a project. (C) 2015 Elsevier B.V. All rights reserved. C1 [Bardos, R. Paul; Jones, Sarah] Univ Reading, Environm Technol Ltd R3, Whiteknights Campus, Reading, Berks, England. [Bardos, R. Paul] Univ Brighton, Sch Environm & Technol, Brighton, E Sussex, England. [Stephenson, Ian] VERTASE FLI, 19 Napier Court, Sheffield S43 4PZ, S Yorkshire, England. [Menger, Pierre] Tecnalia Res & Innovat, Parque Tecnol Bizkaia, E-48160 Derio, Bizkaia, Spain. [Beumer, Victor; Maring, Linda] Deltares, Rotterdamseweg 185, NL-2629 HD Delft, Netherlands. [Neonato, Francesca] PN Studio, Viale Monte Nero 12, I-20135 Milan, Italy. [Ferber, Uwe] Ferber Graumann & Partner, PROJEKTGRP STADT ENTWICKUNG, Stieglitzstr 84, D-04229 Leipzig, Germany. [Track, Thomas; Wendler, Katja] DECHEMA eV, Theodor Heuss Allee 25, D-60486 Frankfurt, Germany. RP Bardos, RP (reprint author), Univ Reading, Environm Technol Ltd R3, Whiteknights Campus, Reading, Berks, England.; Bardos, RP (reprint author), Univ Brighton, Sch Environm & Technol, Brighton, E Sussex, England. EM paul@r3environmental.co.uk; istephenson@vertasefli.co.uk; pierre.menger@tecnalia.com; Victor.Beumer@deltares.nl; info@pnstudio.net; Linda.Maring@deltares.nl; Uwe_Ferber@projektstadt.de; track@dechema.de; wendler@dechema.de OI Bardos, Paul/0000-0001-5698-4561 FU European Community [265097] FX The work described in this publication was supported by the European Community's Seventh Framework Programme through the grant to the budget of the HOMBRE Project, Grant Agreement Number 265097, along with additional inputs from r3 environmental technology Ltd, University of Brighton and Vertase-FLI. CR Ackerman F, 2008, CRITIQUE COST BENEFI Adelaja S, 2010, ENERG POLICY, V38, P7021, DOI 10.1016/j.enpol.2010.07.021 Ahmad M, 2014, CHEMOSPHERE, V99, P19, DOI 10.1016/j.chemosphere.2013.10.071 Alcock I, 2014, ENVIRON SCI TECHNOL, V48, P1247, DOI 10.1021/es403688w Atkinson G, 2014, URBAN FOR URBAN GREE, V13, P586, DOI 10.1016/j.ufug.2013.04.002 Atkinson G, 2008, ANNU REV ENV RESOUR, V33, P317, DOI 10.1146/annurev.environ.33.020107.112927 Bambra C, 2014, ENVIRON PLANN A, V46, P433, DOI 10.1068/a46105 Bardos P., 2013, P AQ 2013 BARC SPAIN Bardos P, 2014, REMEDIATION, V25, P23, DOI 10.1002/rem.21412 Bardos P, 2011, REMEDIATION, V21, P77, DOI 10.1002/rem.20283 Bardos R.P., 2008, NICOLE WORKSH ENV DE Bardos R.P., 2008, LAND CONTAMINATION R, V16, P381 Bartke S, 2015, J ENVIRON MANAGE, V153, P11, DOI 10.1016/j.jenvman.2015.01.040 Bartke S, 2011, INT J STRATEG PROP M, V15, P356, DOI 10.3846/1648715X.2011.633771 Beinat E., 1998, 95103 NOBIS BenDor TK, 2011, SUSTAINABILITY-BASEL, V3, P914, DOI 10.3390/su3060914 Benedict M.A., 2006, RENEWABLE RESOURCES, V20, P12 Beumer V., 2014, D 5 2 DECISION SUPPO Bleicher A, 2010, INT J SUST DEV WORLD, V17, P57, DOI 10.1080/13504500903488263 Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0 Brouwer R, 2004, ECOL ECON, V50, P1, DOI 10.1016/j.ecolecon.2004.01.020 CABE - Commission for Architecture and the Built Environment, 2005, START PARK CREAT SUS Caeiro S., 2010, 14 EUR ROUNDT SUST P Cappuyns V, 2012, ENVIRON TECHNOL, V33, P2447, DOI 10.1080/09593330.2012.671854 Cellini SR, 2010, HDB PRACTICAL PROGRA, P493, DOI DOI 10.1002/9781119171386.CH24 Chiesura A, 2004, LANDSCAPE URBAN PLAN, V68, P129, DOI 10.1016/j.landurbplan.2003.08.003 Chilton K, 2009, VERIFYING SOCIAL ENV CL:AIRE, 2011, SURF UK IND SET SUST CL:AIRE, 2007, SUBR B SUB, V4 CL:AIRE, 2006, SUBR B SUB, V1 CL:AIRE, 2007, SUYBR B SUB, V2 Commonwealth of Australia, 2006, INTRO COST BENEFIT A Cowan R., 2005, START PARK CREATING Cundy AB, 2013, J ENVIRON MANAGE, V129, P283, DOI 10.1016/j.jenvman.2013.07.032 DCLG - Department for Communities and Local Government, 2011, COMM FRASTR LEV OV Defra - Department of Environment Food and Rural Affairs, 2012, OPT STRAT EC ASS BEN Doberl G, 2013, ENVIRON SCI POLICY, V25, P207, DOI 10.1016/j.envsci.2012.10.013 Doick K, 2013, AIR TEMPERATURE REGU Doick KJ, 2009, URBAN FOR URBAN GREE, V8, P163, DOI 10.1016/j.ufug.2009.05.002 DVRPC - Delaware Valley Regional Planning Commission, 2008, RECL BROWN FIELDS EC, 2012, GUID BEST PRACT LIM ELD Initiative, 2015, VAL LAND PROSP LANDS Engel H., 1988, MAXIMILIANPARK HAMM Ferber U., 2006, SUSTAINABLE BROWNFIE Ferber U., 2011, P REAL CORP 2011 18 Forest Research, 2010, WC0807 FOR RES Greenspace Alliance Delaware Valley Regional Planning Commission, 2010, EC VAL PROT OP SPAC Haase D, 2012, ECOL SOC, V17, DOI 10.5751/ES-04853-170322 Haase D, 2008, NAT CULT, V3, P1, DOI 10.3167/nc.2008.030101 Handley J.F., 1996, POSTINDUSTRIAL LANDS, P85 Harbottle MJ, 2008, P I CIVIL ENG-GEOTEC, V161, P117, DOI [10.1680/geng.2008.1613.117, 10.1680/geng.2008.161.3.117] Harbottle MJ, 2008, P I CIVIL ENG-GEOTEC, V161, P75, DOI 10.1680/geng.2008.161.2.75 Hardi P., 1997, ASSESSING SUSTAINABL HM Treasury, 2011, GREEN BOOK APPR EV C Holland K, 2013, REMEDIATION, V23, P5, DOI 10.1002/rem.21345 HOMBRE Consortium, 2014, HOMBRES ROL BROWN International Standards Organisation - ISO, 2015, 18504 ISO ISODIS Lee N.G., 2005, HOUSING POLICY DEBAT, V16 Ling C, 2003, LAND RECLAMATION: EXTENDING THE BOUNDARIES, P27 Lord R.A., 2008, GEOCONGRESS, V177, P52 Luederitz C, 2015, ECOSYST SERV, V14, P98, DOI 10.1016/j.ecoser.2015.05.001 Mathey J, 2015, J URBAN PLAN DEV, V141, DOI 10.1061/(ASCE)UP.1943-5444.0000275 Menger P., 2013, D 5 1 VALUATION APPR Morrison S, 2014, ENVIRON GEOCHEM HLTH, V36, P319, DOI 10.1007/s10653-013-9565-4 NATHANAIL C.P., 2004, RECLAMATION CONTAMIN Natural England, 2009, GREEN INFR GUID NICOLE, 2011, ENV LIAB TRANSF EUR Nowak David J., 2006, Urban Forestry & Urban Greening, V4, P115, DOI 10.1016/j.ufug.2006.01.007 Paull E., 2008, ENV EC IMACTS BROWNF Pediaditi K., 2005, Land Contamination & Reclamation, V13, P173, DOI 10.2462/09670513.665 Pizzol L, 2016, J ENVIRON MANAGE, V166, P178, DOI 10.1016/j.jenvman.2015.09.030 Plant R.A., 2015, 20 CRC CARE, P1 RESCUE Consortium, 2005, BEST PRACT GUID SUST REVIT Consortium, 2007, WORK MOR EFF SUST BR Riley R., 2011, 39 UK COMM EMPL SKIL Rizzo E., 2016, J ENV MANAG IN PRESS Rodriguez JP, 2006, ECOL SOC, V11 SARNI W., 2009, GREENING BROWNFIELDS Seeds Consortium, 2015, SEEDS FIN REP Sinnett D., 2015, HDB GREEN INFRASTRUC Skelhorn C, 2014, LANDSCAPE URBAN PLAN, V121, P129, DOI 10.1016/j.landurbplan.2013.09.012 Syms P.M., 2003, INT APPROACHES VALUA Tang YT, 2012, SUSTAINABILITY-BASEL, V4, P840, DOI 10.3390/su4050840 Taylor JR, 2012, LANDSCAPE URBAN PLAN, V108, P57, DOI 10.1016/j.landurbplan.2012.08.001 ten Brink P., 2011, EC ECOSYSTEMS BIODIV The Economics of Ecosystems and Biodiversity (TEEB), 2011, TEEB MAN CIT EC SERV Thornton G, 2007, ENVIRON SCI POLICY, V10, P116, DOI 10.1016/j.envsci.2006.08.008 Todorov V.I., 2009, 18 WORLD IMACS MODSI US EPA - Environmental Protection Agency, 2010, 560F10210 USEPA VALUE Project Consortium, 2012, VALUE PROJ FIN REP Van Arkel L., 2012, THESIS Vandermeulen V, 2011, LANDSCAPE URBAN PLAN, V103, P198, DOI 10.1016/j.landurbplan.2011.07.010 World Resources Institute, 2003, MILL EC ASS EC HUM W NR 93 TC 13 Z9 14 U1 4 U2 67 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0048-9697 EI 1879-1026 J9 SCI TOTAL ENVIRON JI Sci. Total Environ. PD SEP 1 PY 2016 VL 563 BP 769 EP 782 DI 10.1016/j.scitotenv.2015.12.002 PG 14 WC Environmental Sciences SC Environmental Sciences & Ecology GA DO4ZG UT WOS:000377792800080 PM 26746674 DA 2019-04-09 ER PT J AU Gazheli, A van den Bergh, J Antal, M AF Gazheli, Ardjan van den Bergh, Jeroen Antal, Miklos TI How realistic is green growth? Sectoral-level carbon intensity versus productivity SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE CO2 emissions; Climate change; Green growth; Labor productivity; Production sectors; World input-output database ID INPUT-OUTPUT APPROACH; CO2 EMISSIONS; INTERNATIONAL-TRADE; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; RESPONSIBILITY; HYPOTHESIS; CHINA AB This study considers the potential conflict between economic growth and climate change mitigation. Some believe green growth is an option, while others think climate goals are incompatible with growth. It does so by developing a sector-based approach to analyze the relation between on the one hand carbon dioxide emissions per dollar of output and on the other the growth in economic output and labor productivity. This allows us to investigate whether green growth combining economic growth with environmental sustainability is feasible. The analysis covers Denmark, Germany and Spain for the period 1995-2007. An important innovation of this study is that carbon intensity is calculated in two different ways: (1) as direct carbon dioxide emissions from each sector, which can be seen to immediately result from the processes in the respective sector; and (2) as total, direct plus indirect, emissions, by using environmentally-extended input output tables and considering also indirect carbon emissions through imported goods. Another novelty of this study is that we calculate correlations over time between sectoral carbon intensity and a range of economic indicators: sectoral total and relative output, final demand, value added, and so-called output and valued-added productivity indicators, and their change. A main conclusion is that despite past climate policy, developed under the Kyoto protocol, relatively clean sectors do not seem to be more productive than dirtier ones, and neither show higher productivity growth. Sectors associated with high carbon intensity grew more in absolute terms than those with low carbon intensity. The share of these sectors increased suggesting that green development requires an extremely rapid pace of decarbonization (to allow for green growth), or the economy as a whole to shrink (green decline). An important additional finding of this study is that longer-term sectoral growth, as expressed by a change in value added, does not seem to be positively correlated with carbon intensity. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Gazheli, Ardjan; Antal, Miklos] Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, Edifici Z,Campus UAB,Z-134, E-08193 Barcelona, Spain. [van den Bergh, Jeroen] Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, Edifici Z,Campus UAB,Z-106, E-08193 Barcelona, Spain. [van den Bergh, Jeroen] Vrije Univ Amsterdam, Fac Econ & Business Adm, Amsterdam, Netherlands. [van den Bergh, Jeroen] Vrije Univ Amsterdam, Inst Environm Studies, Amsterdam, Netherlands. RP Gazheli, A (reprint author), Univ Autonoma Barcelona, Inst Environm Sci & Technol ICTA, Edifici Z,Campus UAB,Z-134, E-08193 Barcelona, Spain. EM a.gazheli@gmail.com; jeroen.bergh@uab.cat; antalmi@gmail.com OI Antal, Miklos/0000-0003-3426-9916 CR Cansino JM, 2015, ENVIRON SCI POLICY, V47, P108, DOI 10.1016/j.envsci.2014.11.004 Dietzenbacher E, 2007, ENVIRON RESOUR ECON, V36, P427, DOI 10.1007/s10640-006-9036-9 Dinda S, 2004, ECOL ECON, V49, P431, DOI 10.1016/j.ecolecon.2004.02.011 Gilli M, 2014, ECOL ECON, V103, P56, DOI 10.1016/j.ecolecon.2014.04.004 GULLICKSON W, 1995, MONTHLY LABOR RE JUL, P13 Jiang XM, 2015, ENERGY SUSTAIN DEV, V25, P1, DOI 10.1016/j.esd.2014.12.001 Kondo Y, 1998, APPL ENERG, V59, P163, DOI 10.1016/S0306-2619(98)00011-7 Leontief W, 1953, STUDIES STRUCTURE AM Machado G, 2001, ECOL ECON, V39, P409, DOI 10.1016/S0921-8009(01)00230-0 Menyah K, 2010, ENERG ECON, V32, P1374, DOI 10.1016/j.eneco.2010.08.002 Miller RE., 2009, INPUT OUTPUT ANAL FD Mongelli I, 2006, ENERG POLICY, V34, P88, DOI 10.1016/j.enpol.2004.06.004 Mukhopadhyay K., 2005, INT TRADE J, V29, P135 Mundaca L, 2015, APPL ENERG, V148, P196, DOI 10.1016/j.apenergy.2015.03.029 Munksgaard J, 2001, ENERG POLICY, V29, P327, DOI 10.1016/S0301-4215(00)00120-8 Organisation for Economic Cooperation and Development (OECD), 2008, LAB PROD IND COMP 2 Pascual-Gonzalez J, 2015, J CLEAN PROD, V90, P360, DOI 10.1016/j.jclepro.2014.11.065 Proops J.L.R., 1993, REDUCING CO2 EMISSIO, P300 Sanchez-Choliz J, 2004, ENERG POLICY, V32, P1999, DOI 10.1016/S0301-4215(03)00199-X Serrano M, 2010, ECOL ECON, V69, P2224, DOI 10.1016/j.ecolecon.2010.06.008 Soytas U, 2007, ECOL ECON, V62, P482, DOI 10.1016/j.ecolecon.2006.07.009 Tolmasquim MT, 2003, MITIGATION ADAPTATIO, V8, P139, DOI DOI 10.1023/A:1026013814547 Tunc GI, 2007, ENERG POLICY, V35, P855, DOI 10.1016/j.enpol.2006.02.012 van den Bergh JCJM, 2013, TECHNOL FORECAST SOC, V80, P11, DOI 10.1016/j.techfore.2012.08.004 Voigt S, 2014, ENERG ECON, V41, P47, DOI 10.1016/j.eneco.2013.10.015 Zhang XP, 2009, ECOL ECON, V68, P2706, DOI 10.1016/j.ecolecon.2009.05.011 NR 26 TC 11 Z9 11 U1 4 U2 59 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD AUG 15 PY 2016 VL 129 BP 449 EP 467 DI 10.1016/j.jclepro.2016.04.032 PG 19 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DP0MM UT WOS:000378183900042 DA 2019-04-09 ER PT J AU Rafiee, S Khoshnevisan, B Mohammadi, I Aghbashlo, M Mousazadeh, H Clarkb, S AF Rafiee, Shahin Khoshnevisan, Benyamin Mohammadi, Issa Aghbashlo, Mortaza Mousazadeh, Hossein Clarkb, Sean TI Sustainability evaluation of pasteurized milk production with a life cycle assessment approach: An Iranian case study SO SCIENCE OF THE TOTAL ENVIRONMENT LA English DT Article DE Dairy; GHG emissions; Life cycle assessment; Environmental evaluations; Energy-use pattern ID GREENHOUSE-GAS EMISSIONS; ENVIRONMENTAL-IMPACT ASSESSMENT; PRODUCTION SYSTEM; DAIRY PRODUCTION; ALLOCATION; FARMS; CONSUMPTION; EXPANSION; PROVINCE; TEHRAN AB Agro-food systems play a significant role in the economies of all nations due to energy use and the resulting environmental consequences. The sustainability of these systems is determined by a multitude of interacting economic, social and environmental factors. Dairy production presents a relevant example of the sustainability trade-offs that occur within such systems. On the one hand, dairy production constitutes an important part of the human diet, but it is also responsible for significant emissions of potent greenhouse gases and other pollutants. In this study, the environmental aspects of pasteurized milk production in Iran were investigated using a life-cycle approach. Three sub-systems, namely feed production, dairy farm and dairy factory, were taken into account to determine how and where Iranian pasteurized milk production might be made more environmentally friendly and energy efficient. The results clearly demonstrate that the feed production stage was the hot spot in pasteurized milk production in terms of energy consumption, environmental burdens and economic costs. The largest share of the total production costs belonged to animal feeds (43%), which were part of the feed production stage. The largest consumers of energy in the production of raw milk were alfalfa (30.3%), concentrate (24%), straw (17.8%) and maize (10.9%) for cows, followed by diesel fuel (6.6%) and electricity (5.6%). The global warming potential for the production of 1000 kg of raw milk at the dairy-farm gate was estimated at 457 kg CO2,eq. Thus, more than 69% of the total impact at the milk-processing gate resulted from the previous two sub-systems (feed production and dairy farm), with the feed-production stage accounting for the largest fractions of the environmental burdens. (C) 2016 Elsevier B. V. All rights reserved. C1 [Rafiee, Shahin; Khoshnevisan, Benyamin; Mohammadi, Issa; Aghbashlo, Mortaza; Mousazadeh, Hossein] Univ Tehran, Dept Agr Machinery Engn, Fac Agr Engn & Technol, Karaj, Iran. [Clarkb, Sean] Berea Coll, Agr & Nat Resources Program, Berea, KY USA. [Khoshnevisan, Benyamin] Environm Specialist Res Team ESRTeam, Tehran, Iran. RP Rafiee, S (reprint author), Univ Tehran, Dept Agr Machinery Engn, Fac Agr Engn & Technol, Karaj, Iran. EM shahinrafiee@ut.ac.ir; b_khoshnevisan@ut.ac.ir RI Aghbashlo, Mortaza/L-2752-2017 OI Aghbashlo, Mortaza/0000-0001-8534-4686 FU University of Tehran FX The authors would like to thank University of Tehran for its financial supports. CR Abbasi A., 2008, IRANIAN TABLES FEED Ali Rajaeifar M., 2015, DATA BRIEF, V3, P189 Bartl K, 2011, J CLEAN PROD, V19, P1494, DOI 10.1016/j.jclepro.2011.04.010 Battini F, 2016, J CLEAN PROD, V112, P91, DOI 10.1016/j.jclepro.2015.09.062 Berlin J, 2007, J CLEAN PROD, V15, P347, DOI 10.1016/j.jclepro.2005.07.019 Casey JW, 2005, AGR SYST, V86, P97, DOI 10.1016/j.agsy.2004.09.006 Castanheira EG, 2010, AGR SYST, V103, P498, DOI 10.1016/j.agsy.2010.05.004 Cederberg C, 2003, INT J LIFE CYCLE ASS, V8, P350, DOI 10.1065/lca2003.07.126 Cederberg C., 2004, LIFE CYCLE INVENTORY Cellura M, 2011, RENEW SUST ENERG REV, V15, P4697, DOI 10.1016/j.rser.2011.07.082 Dalgaard R, 2014, J CLEAN PROD, V73, P146, DOI 10.1016/j.jclepro.2014.01.025 Daneshi A., 2014, ECOPERSIA, V2, P697 Daneshi A, 2014, J CLEAN PROD, V80, P150, DOI 10.1016/j.jclepro.2014.05.057 Djekic I, 2014, J CLEAN PROD, V68, P64, DOI 10.1016/j.jclepro.2013.12.054 Dreyer LC, 2003, INT J LIFE CYCLE ASS, V8, P191, DOI 10.1065/lca2003.06.115 Eggleston H. S., 2006, IPCC GUIDELINES NATL, P2006 Eide MH, 1998, INT J LIFE CYCLE ASS, V3, P209 Eide MH, 2002, INT J LIFE CYCLE ASS, V7, P115, DOI 10.1065/lca2001.12.069 Fantin V, 2012, J CLEAN PROD, V28, P150, DOI 10.1016/j.jclepro.2011.10.017 Feitz AJ, 2007, INT J LIFE CYCLE ASS, V12, P109, DOI 10.1065/lca2005.10.228 Food Agric. Organ. UN, 2010, GREENH GAS EM DAIR S Frischknecht R., 2007, IMPLEMENTATION LIFE Gallego A, 2011, RESOUR CONSERV RECY, V55, P1005, DOI 10.1016/j.resconrec.2011.05.010 Ghorbani M., 2009, Research Journal of Environmental Sciences, V3, P466, DOI 10.3923/rjes.2009.466.475 Goedkoop M, 2001, ECOINDICATOR99 DAMAG Goedkoop M, 2013, SIMAPRO 8 DATABASE M Gonzalez-Garcia S, 2013, SCI TOTAL ENVIRON, V442, P225, DOI 10.1016/j.scitotenv.2012.10.035 Gorree M, 2002, INT J LIFE CYCLE ASS, V7, P158, DOI 10.1065/lca2001.12.072 Hartman K., 2006, P 4 DAIRY3 C HELD HA, P11 Hospido A, 2003, INT DAIRY J, V13, P783, DOI 10.1016/S0958-6946(03)00100-6 Humbert S., 2012, IMPACT 2002 IN PRESS Huysveld S, 2015, AGR SYST, V135, P77, DOI 10.1016/j.agsy.2014.12.008 International Dairy Federation, 2010, COMM CARB FOOTPR APP Iribarren D, 2011, SCI TOTAL ENVIRON, V409, P1786, DOI 10.1016/j.scitotenv.2011.02.013 ISO, 1998, ENV MAN LIF CYCL ASS ISO, 2006, 14040 ISO ISO, 2006, 14044 ISO Jan P, 2012, INT J LIFE CYCLE ASS, V17, P706, DOI 10.1007/s11367-012-0405-z Khoshnevisan B, 2014, STOCH ENV RES RISK A, V2014, P1 Khoshnevisan B, 2014, SCI TOTAL ENVIRON, V481, P242, DOI [10.1016/j.scitotenv2014.02.052, 10.1016/j.scitotenv.2014.02.052] Khoshnevisan B, 2013, EUR J AGRON, V50, P29, DOI 10.1016/j.eja.2013.05.003 Kim D, 2013, INT J LIFE CYCLE ASS, V18, P1019, DOI 10.1007/s11367-013-0553-9 Kim S, 2002, INT J LIFE CYCLE ASS, V7, P237, DOI 10.1065/lca2002.05.081 Komleh SHP, 2011, ENERGY, V36, P3335, DOI 10.1016/j.energy.2011.03.029 Kristensen T, 2011, LIVEST SCI, V140, P136, DOI 10.1016/j.livsci.2011.03.002 Mc Geough EJ, 2012, J DAIRY SCI, V95, P5164, DOI 10.3168/jds.2011-5229 Meneses M, 2012, J ENVIRON MANAGE, V107, P76, DOI 10.1016/j.jenvman.2012.04.019 Meul M, 2014, AGR SYST, V131, P105, DOI 10.1016/j.agsy.2014.08.006 Milani FX, 2011, J DAIRY SCI, V94, P4243, DOI 10.3168/jds.2010-3955 Mobtaker HG, 2012, ENERGY SUSTAIN DEV, V16, P84, DOI 10.1016/j.esd.2011.10.009 Mohamadian M., 2005, SUPPORT POLICIES DAI Mousavi-Avval SH, 2011, APPL ENERG, V88, P3765, DOI 10.1016/j.apenergy.2011.04.021 Muehlhoff E., 2013, MILK DAIRY PRODUCTS Nemecek T., 2014, METHODOLOGICAL GUIDE Nilsson K, 2010, INT J LIFE CYCLE ASS, V15, P916, DOI 10.1007/s11367-010-0220-3 Pennington DW, 2005, ENVIRON SCI TECHNOL, V39, P1119, DOI 10.1021/es034598x Rajaeifar MA, 2016, ENERGY, V106, P87, DOI 10.1016/j.energy.2016.03.010 Rajaeifar MA, 2015, RENEW SUST ENERG REV, V51, P886, DOI 10.1016/j.rser.2015.06.037 Rajaeifar MA, 2013, J RENEW SUSTAIN ENER, V5, DOI 10.1063/1.4854596 Roer AG, 2013, LIVEST SCI, V155, P384, DOI 10.1016/j.livsci.2013.05.004 Rosselot K. S., 1997, POLLUTION PREVENTION Ryding SO, 1999, INT J LIFE CYCLE ASS, V4, P307 Schader C, 2014, J CLEAN PROD, V73, P227, DOI 10.1016/j.jclepro.2013.11.077 Sefeedpari P., 2012, IRAN J ENERGY ENV, V3, P213 Sefeedpari P, 2014, COMPUT ELECTRON AGR, V109, P80, DOI 10.1016/j.compag.2014.09.010 Soltanali H., 2015, LIFE CYCLE ASSESSMEN THOMA G, 2008, INT DAIRY J, V31, pS3, DOI DOI 10.1016/J.IDAIRYJ.2012.08.013 Umweltagentur E., 2013, EMEP EEA AIR POLLUTA van der Werf HMG, 2009, J ENVIRON MANAGE, V90, P3643, DOI 10.1016/j.jenvman.2009.07.003 Williams A.G., 2006, DETERMINING ENV BURD Yousefi M., 2012, STOCH ENV RES RISK A, P1 NR 71 TC 11 Z9 11 U1 3 U2 38 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0048-9697 EI 1879-1026 J9 SCI TOTAL ENVIRON JI Sci. Total Environ. PD AUG 15 PY 2016 VL 562 BP 614 EP 627 DI 10.1016/j.scitotenv.2016.04.070 PG 14 WC Environmental Sciences SC Environmental Sciences & Ecology GA DN9AW UT WOS:000377372400060 PM 27110976 DA 2019-04-09 ER PT J AU Fock, HO Kraus, G AF Fock, Heino O. Kraus, Gerd TI From Metaphors to Formalism: A Heuristic Approach to Holistic Assessments of Ecosystem Health SO PLOS ONE LA English DT Article ID MULTICRITERIA DECISION-ANALYSIS; GOOD ENVIRONMENTAL STATUS; SUSTAINABILITY ASSESSMENT; MARINE ECOSYSTEMS; ECOLOGICAL STATUS; RISK-ASSESSMENT; INDICATORS; FRAMEWORK; SCIENCE; MANAGEMENT AB Environmental policies employ metaphoric objectives such as ecosystem health, resilience and sustainable provision of ecosystem services, which influence corresponding sustainability assessments by means of normative settings such as assumptions on system description, indicator selection, aggregation of information and target setting. A heuristic approach is developed for sustainability assessments to avoid ambiguity and applications to the EU Marine Strategy Framework Directive (MSFD) and OSPAR assessments are presented. For MSFD, nineteen different assessment procedures have been proposed, but at present no agreed assessment procedure is available. The heuristic assessment framework is a functional-holistic approach comprising an ex-ante/ex-post assessment framework with specifically defined normative and systemic dimensions (EAEPNS). The outer normative dimension defines the ex-ante/ex-post framework, of which the latter branch delivers one measure of ecosystem health based on indicators and the former allows to account for the multi-dimensional nature of sustainability (social, economic, ecological) in terms of modeling approaches. For MSFD, the ex-ante/ex-post framework replaces the current distinction between assessments based on pressure and state descriptors. The exante and the ex-post branch each comprise an inner normative and a systemic dimension. The inner normative dimension in the ex-post branch considers additive utility models and likelihood functions to standardize variables normalized with Bayesian modeling. Likelihood functions allow precautionary target setting. The ex-post systemic dimension considers a posteriori indicator selection by means of analysis of indicator space to avoid redundant indicator information as opposed to a priori indicator selection in deconstructive-structural approaches. Indicator information is expressed in terms of ecosystem variability by means of multivariate analysis procedures. The application to the OSPAR assessment for the southern North Sea showed, that with the selected 36 indicators 48% of ecosystem variability could be explained. Tools for the ex-ante branch are risk and ecosystem models with the capability to analyze trade-offs, generating model output for each of the pressure chains to allow for a phasing-out of human pressures. The Bayesian measure of ecosystem health is sensitive to trends in environmental features, but robust to ecosystem variability in line with state space models. The combination of the ex-ante and ex-post branch is essential to evaluate ecosystem resilience and to adopt adaptive management. Based on requirements of the heuristic approach, three possible developments of this concept can be envisioned, i.e. a governance driven approach built upon participatory processes, a science driven functional-holistic approach requiring extensive monitoring to analyze complete ecosystem variability, and an approach with emphasis on ex-ante modeling and ex-post assessment of well-studied subsystems. C1 [Fock, Heino O.; Kraus, Gerd] ThunenInst Sea Fisheries, Hamburg, Germany. RP Fock, HO (reprint author), ThunenInst Sea Fisheries, Hamburg, Germany. EM Heino.fock@thuenen.de OI Fock, Heino/0000-0003-2902-3559 FU Federal Ministry of Research and Education (BMBF) [FKZ 03F0671A]; BMBF [FKZ 03F0671A] FX This work was supported by the Federal Ministry of Research and Education (BMBF; www.bmbf.de). Project name:'NOAH - Assessment of seafloor state in the German North Sea', Grant number FKZ 03F0671A. The work was carried out within NOAH, but authors sere not funded through the project. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.; This work has been supported through the BMBF funded project 'NOAH-Assessment of seafloor state in the German North Sea' (FKZ 03F0671A). The comments of three anonymous reviewers and Howard Browman on an earlier version of this manuscript are gratefully acknowledged. CR Anderies J. M., 2015, PRINCIPLES BUILDING, P251, DOI [10.1017/CBO9781316014240.011, DOI 10.1017/CBO9781316014240.011] Andersen JH, 2014, FRONT MAR SCI, V1, P55, DOI DOI 10.3389/FMARS.2014.00055 Arkema KK, 2012, AM FISH S S, V79, P9 Baba K, 2004, AUST NZ J STAT, V46, P657, DOI 10.1111/j.1467-842X.2004.00360.x Bebbington J, 2007, ECOL ECON, V61, P224, DOI 10.1016/j.ecolecon.2006.10.021 Bertram C, 2014, MAR POLICY, V43, P307, DOI 10.1016/j.marpol.2013.06.016 Bhatia R, 2008, ENVIRON HEALTH PERSP, V116, P991, DOI 10.1289/ehp.11132 Binder CR, 2010, ENVIRON IMPACT ASSES, V30, P71, DOI 10.1016/j.eiar.2009.06.002 Black M., 1962, MODELS METAPHORS STU Blanchard JL, 2010, ICES J MAR SCI, V67, P732, DOI 10.1093/icesjms/fsp282 Bohringer C, 2007, ECOL ECON, V63, P1, DOI 10.1016/j.ecolecon.2007.03.008 Booysen F, 2002, SOC INDIC RES, V59, P115, DOI 10.1023/A:1016275505152 Borja A., 2014, FRONT MAR SCI, P1, DOI DOI 10.3389/FMARS.2014.00001 Borja A, 2013, MAR POLLUT BULL, V76, P16, DOI 10.1016/j.marpolbul.2013.08.042 Borja A, 2010, MAR POLLUT BULL, V60, P2175, DOI 10.1016/j.marpolbul.2010.09.026 Borja A, 2010, MAR POLLUT BULL, V60, P1143, DOI 10.1016/j.marpolbul.2010.06.026 BOSSEL H., 2001, CONSERV ECOL, V5, P12, DOI DOI 10.5751/ES-00332-050212 Calbick KS, 2011, EVALUATING NATL ENV Calow P., 1992, Journal of Aquatic Ecosystem Health, V1, P1, DOI 10.1007/BF00044403 Carolan M S, 2008, CRITICAL SOCIOLOGY, V34, P725, DOI DOI 10.1177/0896920508093365 Carolan MS, 2006, SOC NATUR RESOUR, V19, P921, DOI 10.1080/08941920600902112 Carpenter S, 2001, ECOSYSTEMS, V4, P765, DOI 10.1007/s10021-001-0045-9 Carstensen J, 2014, FRONT MAR SCI, V1, P33, DOI [10.3389/fmars.2014.00033, DOI 10.3389/FMARS.2014.00033] Carstensen J, 2007, MAR POLLUT BULL, V55, P3, DOI 10.1016/j.marpolbul.2006.08.016 CIS working Group, 2013, COMM IMPL STRAT Claussen U, 2011, COMMON UNDERSTANDING Constanza Robert, 1999, Aquatic Ecology, V33, P105 Convention for the Protection of the Marine Environment of the North-East Atlantic (OSPAR) Commission, 2010, QUAL STAT REP 2010 Costanza R, 2012, ECOL ENG, V45, P24, DOI 10.1016/j.ecoleng.2012.03.023 Costanza Robert, 1992, P239 CPMR, 2014, TECHN PAP CPMR GEN S Dale Virginia H., 2001, Ecological Indicators, V1, P3, DOI 10.1016/S1470-160X(01)00003-6 Deutsch L, 2003, ECOL ECON, V44, P205, DOI 10.1016/S0921-8009(02)00274-4 Ebert U, 2004, J ENVIRON ECON MANAG, V47, P270, DOI 10.1016/j.jeem.2003.09.001 Environment Canada U. S. Environmemntal Protection Agency, 2014, STAT GREAT LAK 2011 Ewing B., 2010, CALCULATION METHODOL FAO, 1999, IND SUST DEV MAR CAP Fischherz B, 2010, METAPHORS SUSTAINABI Fock H, 2011, HUM ECOL RISK ASSESS, V17, P187, DOI 10.1080/10807039.2011.538634 Fock HO, 2014, J SEA RES, V85, P325, DOI 10.1016/j.seares.2013.06.004 Fock HO, 2011, ENVIRON SCI POLICY, V14, P289, DOI 10.1016/j.envsci.2010.11.005 Froese R, 2015, MAR POLICY, V51, P230, DOI 10.1016/j.marpol.2014.07.012 FUNTOWICZ SO, 1993, FUTURES, V25, P739, DOI 10.1016/0016-3287(93)90022-L Garcia SM, 2005, ICES J MAR SCI, V62, P311, DOI 10.1016/j.icesjms.2004.12.003 Gasparatos A, 2009, ACCOUNT FORUM, V33, P245, DOI 10.1016/j.accfor.2008.07.006 Grant Michigan Sea, 2009, TACKL WICK PROBL INT Greenstreet S. P. R., 2012, ICES J MAR SCI, V69, P343, DOI DOI 10.1093/ICESJMS/FSR201 Greenstreet SPR, 2012, ICES J MAR SCI, V69, P1789, DOI 10.1093/icesjms/fss148 Greenstreet SPR, 2012, ICES J MAR SCI, V69, P8, DOI 10.1093/icesjms/fsr188 Halpern BS, 2013, P NATL ACAD SCI USA, V110, P6229, DOI 10.1073/pnas.1217689110 Halpern BS, 2012, NATURE, V488, P615, DOI 10.1038/nature11397 Hatton-Ellis T, 2008, AQUAT CONSERV, V18, P111, DOI 10.1002/aqc.947 HELCOM, 2014, 462014 HELCOM HOD HELCOM, 2010, EC HLTH BALT SEA 200 HELCOM, 2013, HELCOM COR IND FIN R Held L, 2008, METHODS STAT INFEREN Herrick C, 2000, SCI TECHNOL HUM VAL, V25, P309, DOI 10.1177/016224390002500303 Heslenfeld P, 2008, ICES J MAR SCI, V65, P1392, DOI 10.1093/icesjms/fsn159 Hilborn R, 2003, SCI MAR, V67, P15, DOI 10.3989/scimar.2003.67s115 Hilborn R, 1997, MONOGRAPHS POPULATIO Hobbs NT, 2006, ECOL APPL, V16, P5, DOI 10.1890/04-0645 Hoffman RR, 1980, COGNITION FIGURATIVE, P393 Hull RB, 2003, ENVIRON MANAGE, V31, P1, DOI 10.1007/s00267-002-2812-6 Hurlbert SH, 1997, AUST J ECOL, V22, P369, DOI 10.1111/j.1442-9993.1997.tb00687.x Johnson D, 2008, ICES J MAR SCI, V65, P1387, DOI 10.1093/icesjms/fsn154 Jorgensen SE, 2005, HANDBOOK OF ECOLOGICAL INDICATORS FOR ASSESSMENT OF ECOSYSTEM HEALTH, P5 Jorgensen SE, 2005, ECOLOGICAL INDICATOR, P1 Kailiponi P, 2010, PROCEDIA ENGINEER, V3, P163, DOI 10.1016/j.proeng.2010.07.016 Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386 Kates RW, 2003, P NATL ACAD SCI USA, V100, P8062, DOI 10.1073/pnas.1231331100 Keller EF, 2005, BIOSCIENCE, V55, P1069, DOI 10.1641/0006-3568(2005)055[1069:EOAM]2.0.CO;2 Kershner J, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0025248 Kiker GA, 2005, INTEGR ENVIRON ASSES, V1, P95, DOI 10.1897/IEAM_2004a-015.1 Kirkebooen G, 2009, MAKING ESSENTIAL CHO, P169, DOI DOI 10.1057/9780230236837 Knights AM, 2013, ECOL APPL, V23, P755, DOI 10.1890/12-1137.1 Kruse J, 2011, METAPHERNANALYSEN RE Kueffer C, 2014, BIOSCIENCE, V64, P719, DOI 10.1093/biosci/biu084 Lackey RT, 2007, CONSERV BIOL, V21, P12, DOI 10.1111/j.1523-1739.2006.00639.x Lackey RT, 2001, BIOSCIENCE, V51, P437, DOI 10.1641/0006-3568(2001)051[0437:VPAEH]2.0.CO;2 Lakoff George, 1980, METAPHORS WE LIVE BY Larson B., 2011, METAPHORS ENV SUSTAI Levin PS, 2009, PLOS BIOL, V7, P23, DOI 10.1371/journal.pbio.1000014 Levin R, 1998, ECOSYST HEALTH, P53 Levin SA, 2005, BIOSCIENCE, V55, P1075, DOI 10.1641/0006-3568(2005)055[1075:SATEOC]2.0.CO;2 Linkov I, 2006, ENVIRON INT, V32, P1072, DOI 10.1016/j.envint.2006.06.013 Loreau M., 2010, POPULATIONS ECOSYSTE Lu Y., 2015, COMPUT OPTIM APPL, V1, P1, DOI DOI 10.1126/SCIADV.1400039 Mangel M, 1986, NAT RESOUR MODEL, V1, P1 Mars MM, 2012, ORGAN DYN, V41, P271, DOI 10.1016/j.orgdyn.2012.08.002 Mayer AL, 2008, ENVIRON INT, V34, P277, DOI 10.1016/j.envint.2007.09.004 Mee LD, 2008, MAR POLLUT BULL, V56, P187, DOI 10.1016/j.marpolbul.2007.09.038 Menzie CA, 2012, INTEGR ENVIRON ASSES, V8, P401, DOI 10.1002/ieam.1279 Metaphor Black M., 1955, P ARISTOTELIAN SOC, V55, P273 MIKKELSON G.M., 1997, PERSPECTIVES SCI, V5, P481 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY Mollmann C, 2009, GLOBAL CHANGE BIOL, V15, P1377, DOI 10.1111/j.1365-2486.2008.01814.x Mori K, 2012, ENVIRON IMPACT ASSES, V32, P94, DOI 10.1016/j.eiar.2011.06.001 Moser K. S., 2000, FORUM QUALITATIVE SO, V1, P1 Nardo M, 2005, HDB CONSTRUCTING COM Ness B, 2007, ECOL ECON, V60, P498, DOI 10.1016/j.ecolecon.2006.07.023 Niemeijer D., 2002, ENVIRON SCI POLICY, V5, P91, DOI DOI 10.1016/S1462-9011(02)00026-6 Niemeijer D, 2008, ECOL INDIC, V8, P14, DOI 10.1016/j.ecolind.2006.11.012 Norgaard RB, 2010, ECOL ECON, V69, P1219, DOI 10.1016/j.ecolecon.2009.11.009 Ojaveer H, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019231 OSPAR Commission, 2009, EV OSPAR SYST EC QUA OSPAR Commission, 2009, REP UTR WORKSH REG A Parris TM, 2003, P NAT AC SC US, V100, P8063 Parrish JD, 2003, BIOSCIENCE, V53, P851, DOI 10.1641/0006-3568(2003)053[0851:AWCWWS]2.0.CO;2 Patricio J, 2014, DEVOTES RECOMMENDATI Pickett STA, 2002, ECOSYSTEMS, V5, P1, DOI 10.1007/s10021-001-0051-y Pinter L, 2012, ECOL INDIC, V17, P20, DOI 10.1016/j.ecolind.2011.07.001 Prins T, 2014, COHERENT GEOGRAPHIC Probst WN, 2012, ICES J MAR SCI, V69, P670, DOI 10.1093/icesjms/fss015 Proctor JD, 2005, BIOSCIENCE, V55, P1065, DOI 10.1641/0006-3568(2005)055[1065:ECAM]2.0.CO;2 Rapport D., 1998, ECOSYST HEALTH, P3 Rapport D, 1998, ECOSYST HEALTH, P34 Rapport DJ, 1998, TRENDS ECOL EVOL, V13, P397, DOI 10.1016/S0169-5347(98)01449-9 Rapport DJ, 2009, ENCY LIFE SUPPORT SY, P325 Rapport DJ, 1998, ECOSYST HEALTH, P18 Raymond CM, 2013, BIOSCIENCE, V63, P536, DOI 10.1525/bio.2013.63.7.7 Reed M., 2005, ECOLOGY SOC, V10, pr3 Reis S, 2015, PUBLIC HEALTH, V129, P1383, DOI 10.1016/j.puhe.2013.07.006 Rice JC, 2005, ICES J MAR SCI, V62, P516, DOI 10.1016/j.icesjms.2005.01.003 Rickels W, 2014, ENVIRON RES LETT, V9, P15 Ross N, 1997, CAN GEOGR-GEOGR CAN, V41, P114, DOI 10.1111/j.1541-0064.1997.tb01152.x Samhouri JF, 2012, ECOSPHERE, V3, DOI 10.1890/ES11-00366.1 Samhouri JF, 2009, ECOSYSTEMS, V12, P1283, DOI 10.1007/s10021-009-9286-9 Sarewitz D, 2004, ENVIRON SCI POLICY, V7, P385, DOI 10.1016/j.envsci.2004.06.001 Schernewski G, 2015, MAR POLICY, V51, P305, DOI 10.1016/j.marpol.2014.09.002 Schmitt R, 2005, QUAL REP, V10, P358 Schon D. A., 1993, METAPHOR THOUGHT, P137, DOI DOI 10.1017/CBO9781139173865.011 Schoon M.L., 2015, PRINCIPLES BUILDING, P32 Selkoe Kimberly, 2015, Ecosystem Health and Sustainability, V1, DOI 10.1890/EHS14-0024.1 Shear H, 2005, DEV APPL ECOSYSTEM H, P105 Sherman BH, 2000, MAR POLLUT B, V41, P1 Shin YJ, 2010, ICES J MAR SCI, V67, P692, DOI 10.1093/icesjms/fsp294 Singh RK, 2012, ECOL INDIC, V15, P281, DOI 10.1016/j.ecolind.2011.01.007 Smith C, 2014, CONCEPTUAL MODELS EF Stefan D, 2011, 3 INT WORKSH SOFTW R Stelzenmuller V, 2015, ICES J MAR SCI, V72, P1022, DOI 10.1093/icesjms/fsu206 Strauss S., 2009, COMMUNICATING BIOL S, P153 Tett P, 2013, MAR ECOL PROG SER, V494, P1, DOI 10.3354/meps10539 Triantaphyllou E., 1998, ENCY ELECT ELECT ENG, V15, P175 van Leeuwen J, 2014, MAR POLICY, V50, P325, DOI 10.1016/j.marpol.2014.03.004 Visbeck M, 2014, MAR POLICY, V48, P184, DOI 10.1016/j.marpol.2014.03.005 von Winterfeldt D, 1973, MULTIATTRIBUTE UTILI Voss R, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107811 Waas T, 2014, SUSTAINABILITY-BASEL, V6, P5512, DOI 10.3390/su6095512 Walker B, 2002, CONSERV ECOL, V6 Wells PG, 2005, HANDBOOK OF ECOLOGICAL INDICATORS FOR ASSESSMENT OF ECOSYSTEM HEALTH, P395 Wiek A, 2005, ENVIRON IMPACT ASSES, V25, P589, DOI 10.1016/j.eiar.2004.09.009 Xu W, 2001, AGR ECOSYST ENVIRON, V83, P215, DOI 10.1016/S0167-8809(00)00159-6 Yigitcanlar Tan, 2010, Sustainability, V2, P321, DOI 10.3390/su2010321 Zacharias MA, 2001, AQUAT CONSERV, V11, P59, DOI 10.1002/aqc.429 NR 154 TC 1 Z9 1 U1 0 U2 27 PU PUBLIC LIBRARY SCIENCE PI SAN FRANCISCO PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA SN 1932-6203 J9 PLOS ONE JI PLoS One PD AUG 10 PY 2016 VL 11 IS 8 AR e0159481 DI 10.1371/journal.pone.0159481 PG 29 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA DT3KR UT WOS:000381380400009 PM 27509185 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Tayyebi, A Arsanjani, JJ Tayyebi, AH Omrani, H Moghadam, HS AF Tayyebi, Amin Arsanjani, Jamal J. Tayyebi, Amir H. Omrani, Hichem Moghadam, Hossein S. TI Group-based crop change planning: Application of SmartScape (TM) spatial decision support system for resolving conflicts SO ECOLOGICAL MODELLING LA English DT Article DE SmartScape (TM); Internal and external conflicts; Crop change scenario; Ecosystem services trade-off; Group-based decision-making ID LAND-USE CHANGE; WEB-BASED GIS; ECOSYSTEM SERVICES; URBAN EXPANSION; NEURAL-NETWORK; MODELS; IMPACTS; SIMULATION; BIOFUELS; ETHANOL AB Agricultural changes are complex and managing an appropriate type of crop change to satisfy stakeholders with various interests is challenging. Decisions regarding a crop change need to be debated among multiple stakeholders with various conflicting viewpoints. Two kinds of conflicts might occur as a result of crop change in an agricultural landscape: (1) conflicts among multiple ecosystem services i.e., internal conflicts and (2) conflicts among multiple stakeholders i.e., external conflicts. While a spatial decision support system (SDSS) can provide answers concerning multifaceted problems, there are currently a few SDSSs that indicate the trade-offs among multiple ecosystem services as a result of crop change and also enable stakeholders with diverse preferences to arrive at group-based decisions. In this study, we held a series of meetings with stakeholders, who were experts in economics, energy, soil erosion, greenhouse gas emission, surface water, and biodiversity, to develop two crop change scenarios by replacing perennial energy crops with annual energy crops and vice versa. We then used an online SDSS, SmartScape (TM), and applied it to Dane county, Wisconsin, U.S. to (1) run the two aforementioned crop change scenarios separately in order to assess how effectively SmartScape (TM) enables decision makers to resolve internal conflicts while considering the relative values of multiple ecosystem services, and (2) run the two crop change scenarios jointly to show how well SmartScape (TM) enables decision makers to resolve external conflicts in a group while taking into account the diverse goals of stakeholders. The outcomes of this study can inform policy-makers about both internal conflicts within a crop change scenario and external conflicts among stakeholders and provide a unique framework to resolve both types of conflict in an effective way. Obtaining acceptable crop change solutions among stakeholders with conflicting interests can lead us in moving from individual decision-making to group-based decision-making so that we can enhance sustainability in agricultural landscapes. (C) 2016 Elsevier B.V. All rights reserved. C1 [Tayyebi, Amin] Univ Calif Riverside, Ctr Conservat Biol, 900 Univ Ave, Riverside, CA 92521 USA. [Tayyebi, Amin] Univ Calif Riverside, Dept Bot & Plant Sci, 900 Univ Ave, Riverside, CA 92521 USA. [Arsanjani, Jamal J.] Aalborg Univ, Dept Planning & Dev, Copenhagen, Denmark. [Tayyebi, Amir H.] Univ Houston, Dept Civil & Environm Engn, Cullen Coll Engn, Houston, TX 77004 USA. [Omrani, Hichem] LISER, Urban Dev & Mobil Dept, Luxembourg, Luxembourg. [Moghadam, Hossein S.] Tarbiat Modares Univ, Dept GIS & Remote Sensing, Tehran, Iran. RP Tayyebi, A (reprint author), Univ Calif Riverside, Ctr Conservat Biol, 900 Univ Ave, Riverside, CA 92521 USA. EM amin.tayyebi@gmail.com OI Tayyebi, Amin/0000-0001-5548-1129; Jokar Arsanjani, Jamal/0000-0001-6347-2935 FU USDA National Institute of Food and Agriculture [2012-67009-19715] FX This project was supported by the Agriculture and Food Research Initiative Competitive Grant no. 2012-67009-19715 from the USDA National Institute of Food and Agriculture. CR Arsanjani J.J., 2016, INT J DIGIT EARTH, P1, DOI DOI 10.1080/17538947.2016.1151956 Arsanjani JJ, 2016, HABITAT INT, V55, P25, DOI 10.1016/j.habitatint.2016.02.003 Azari M, 2016, GISCI REMOTE SENS, V53, P183, DOI 10.1080/15481603.2015.1137111 Bennett AB, 2014, AGR ECOSYST ENVIRON, V193, P1, DOI 10.1016/j.agee.2014.04.016 Bormann H, 2007, ECOL MODEL, V209, P29, DOI 10.1016/j.ecolmodel.2007.07.004 Bouwman AF, 2002, GLOBAL BIOGEOCHEM CY, V16, DOI [10.1029/2000GB001389, 10.1029/2001GB001812] Choi JY, 2005, J HYDROINFORM, V7, P165 Connelly S., 2004, J ENVIRON PLANN MAN, V47, P3, DOI DOI 10.1080/0964056042000189772 Coutinho-Rodrigues J, 2011, DECIS SUPPORT SYST, V51, P720, DOI 10.1016/j.dss.2011.02.010 Diakoulaki D, 2007, RENEW SUST ENERG REV, V11, P716, DOI 10.1016/j.rser.2005.06.007 Dubois L, 2015, ECOL MODEL, V301, P78, DOI 10.1016/j.ecolmodel.2015.01.010 Farrell AE, 2006, SCIENCE, V311, P506, DOI 10.1126/science.1121416 Feick R.D., 2001, GEOJOURNAL, V53, P391 Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014 Groom MJ, 2008, CONSERV BIOL, V22, P602, DOI 10.1111/j.1523-1739.2007.00879.x Hein L, 2006, ECOL ECON, V59, P429, DOI 10.1016/j.ecolecon.2005.10.021 Hill J, 2006, P NATL ACAD SCI USA, V103, P11206, DOI 10.1073/pnas.0604600103 Jones JW, 2003, EUR J AGRON, V18, P235, DOI 10.1016/S1161-0301(02)00107-7 Keating BA, 2003, EUR J AGRON, V18, P267, DOI 10.1016/S1161-0301(02)00108-9 Kennedy CM, 2013, ECOL LETT, V16, P584, DOI 10.1111/ele.12082 Khanal S, 2013, GCB BIOENERGY, V5, P713, DOI 10.1111/gcbb.12050 Koontz TM, 2005, POLICY STUD J, V33, P459, DOI 10.1111/j.1541-0072.2005.00125.x LaBeau MB, 2014, ECOL MODEL, V277, P27, DOI 10.1016/j.ecolmodel.2014.01.016 Le Billon P, 2001, POLIT GEOGR, V20, P561, DOI 10.1016/S0962-6298(01)00015-4 Lichtfouse E, 2009, SUSTAINABLE AGRICULTURE, P1, DOI 10.1007/978-90-481-2666-8_1 Lovell ST, 2006, AGR ECOSYST ENVIRON, V112, P249, DOI 10.1016/j.agee.2005.08.002 Mari R, 2011, RENEW ENERG, V36, P754, DOI 10.1016/j.renene.2010.07.005 Meehan TD, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080093 Meehan TD, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041728 Mendas A, 2012, COMPUT ELECTRON AGR, V83, P117, DOI 10.1016/j.compag.2012.02.003 Millennium Ecosystem Assessment (MA), 2005, ECOSYSTEMS HUMAN WEL Millennium Ecosystem Assessment (MA), 2003, EC HUM WELL BEING FR Pijanowski BC, 2009, INT J ENVIRON RES, V3, P493 Pijanowski BC, 2014, ENVIRON MODELL SOFTW, V51, P250, DOI 10.1016/j.envsoft.2013.09.015 Rao M, 2007, ENVIRON MODELL SOFTW, V22, P1270, DOI 10.1016/j.envsoft.2006.08.003 Rounsevell MDA, 2003, AGR ECOSYST ENVIRON, V95, P465, DOI 10.1016/S0167-8809(02)00217-7 Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 Sheppard SRJ, 2005, FOREST ECOL MANAG, V207, P171, DOI 10.1016/j.foreco.2004.10.032 Skevas T, 2014, ECOL ECON, V106, P195, DOI 10.1016/j.ecolecon.2014.07.027 Song W, 2015, ECOL MODEL, V318, P245, DOI 10.1016/j.ecolmodel.2015.01.029 Song W, 2015, ECOL INDIC, V54, P60, DOI 10.1016/j.ecolind.2015.02.015 Stanger TF, 2008, AGRON J, V100, P643, DOI 10.2134/agronj2007.0280 Stockle CO, 2003, EUR J AGRON, V18, P289, DOI 10.1016/S1161-0301(02)00109-0 Tan GX, 2003, ECOL MODEL, V168, P357, DOI 10.1016/S0304-3800(03)00146-7 Tayyebi A, 2016, COMPUT ELECTRON AGR, V121, P108, DOI 10.1016/j.compag.2015.12.003 Tayyebi A, 2016, SCI TOTAL ENVIRON, V548, P60, DOI 10.1016/j.scitotenv.2016.01.049 Tayyebi A, 2016, LAND USE POLICY, V51, P41, DOI 10.1016/j.landusepol.2015.11.002 Tayyebi A, 2015, APPL GEOGR, V57, P100, DOI 10.1016/j.apgeog.2014.12.020 Tayyebi A, 2014, ENVIRON MODELL SOFTW, V59, P202, DOI 10.1016/j.envsoft.2014.05.022 Tayyebi A, 2014, INT J APPL EARTH OBS, V28, P102, DOI 10.1016/j.jag.2013.11.008 Tayyebi A, 2011, LANDSCAPE URBAN PLAN, V100, P35, DOI 10.1016/j.landurbplan.2010.10.007 Tayyebi AH, 2014, INT J REMOTE SENS, V35, P149, DOI 10.1080/01431161.2013.866293 Thorp KR, 2008, COMPUT ELECTRON AGR, V64, P276, DOI 10.1016/j.compag.2008.05.022 Tscharntke T, 2012, BIOL CONSERV, V151, P53, DOI 10.1016/j.biocon.2012.01.068 Turner KG, 2016, ECOL MODEL, V319, P190, DOI 10.1016/j.ecolmodel.2015.07.017 Tyner WE, 2008, BIOSCIENCE, V58, P646, DOI 10.1641/B580718 West TO, 2008, SOIL SCI SOC AM J, V72, P285, DOI 10.2136/sssaj2007.0113 Zhang X, 2010, GCB BIOENERGY, V2, P258, DOI 10.1111/j.1757-1707.2010.01046.x Zhang YJ, 2012, PROCEDIA ENVIRON SCI, V13, P2264, DOI 10.1016/j.proenv.2012.01.215 NR 59 TC 5 Z9 5 U1 1 U2 34 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0304-3800 EI 1872-7026 J9 ECOL MODEL JI Ecol. Model. PD AUG 10 PY 2016 VL 333 SI 1 BP 92 EP 100 DI 10.1016/j.ecolmodel.2016.04.018 PG 9 WC Ecology SC Environmental Sciences & Ecology GA DN8EW UT WOS:000377313000007 OA Other Gold DA 2019-04-09 ER PT J AU Niamir-Fuller, M AF Niamir-Fuller, M. TI Towards sustainability in the extensive and intensive livestock sectors SO REVUE SCIENTIFIQUE ET TECHNIQUE-OFFICE INTERNATIONAL DES EPIZOOTIES LA English DT Article DE Animal welfare; Biodiversity; Climate change; Common property tenure; Consumption; Fair trade; Green economy; Grey water; Health; Intensive livestock sector; Investment; Land degradation; Livestock; Mobility; Nutrition; Pastoralism; Pollution; Sustainability; Transhumance; Zoonosis ID SYSTEMS AB An increase in both human population and economic growth has been accompanied by rising per capita demand for animal products. The livestock industry is under pressure to meet this demand, but its current patterns of production are not environmentally sustainable, causing negative health impacts on humans and raising welfare concerns for animals. With little regulation of the intensive livestock sector in most countries, animal products are available at cheaper prices on consumer markets, undercutting more sustainable production systems, such as those used by pastoralists and organic farmers. Other beneficial aspects of sustainable intensification and sustainable pastoralism should also be taken into account. However, it is unclear whether moving towards sustainable animal husbandry (both intensive and extensive) will meet the projected demand from nine billion people in 2030, unless attention is also paid to fairer and more responsible consumption. This paper proposes a conceptual framework to transform the livestock sector, using principles of sustainable consumption and production, environmental stewardship, inclusive prosperity, and healthy lifestyles. It also highlights several areas where additional research and modelling are required. C1 [Niamir-Fuller, M.] UN Environm Programme Global Goals Sustainable De, NOF2 North,Third Floor,POB 30552, Nairobi 00100, Kenya. RP Niamir-Fuller, M (reprint author), UN Environm Programme Global Goals Sustainable De, NOF2 North,Third Floor,POB 30552, Nairobi 00100, Kenya. EM mniafull@gmail.com CR Ali T. A., 1991, ILEIA NEWSLETTER, V7 Banks T., 2003, GOVERNING GRASSLANDS Bauer I., 2004, HIGH FRONTIERS DOLPO Beef Cattle Research Council (BCRC), 2016, ENV FOOTPR BEEF PROD Bekele N., 2014, INT J ENV SCI, V3, P94 Bouwman L, 2013, P NATL ACAD SCI USA, V110, P20882, DOI 10.1073/pnas.1012878108 Bringezu S, 2014, ASSESSING GLOBAL LAN Butt B, 2014, HUM ECOL, V43, P1 Capper Judith L, 2012, Animals (Basel), V2, P127, DOI 10.3390/ani2020127 Cervigni R., 2015, ENHANCING RESILIENCE Collignon PJ, 1999, MED J AUSTRALIA, V171, P144, DOI 10.5694/j.1326-5377.1999.tb123568.x Compassion in World Farming (CIWF), 2004, LAYING HENS FACT SHE De Haan C., 2014, WORLD, P6 Dohrn S., 2007, SECURING COMMON PROP Dougill A., 1995, PASTORAL DEV NETWORK, V38 Dregne H. E., 1992, DEGRADATION RESTORAT, P249 Dutilly-Diane C, 2006, REV LIT PASTORAL EC Erb K.-H., 2009, 116 I SOC EC European Forum for Conservation of Nature and Pastoralism (EFCNP), 2007, SAMI PROJ MARK MOUNT FAO, 2011, GLOBAL FOOD LOSSES F Food and Agriculture Organization of the United Nations (FAO), 2013, TACKLING CLIMATE CHA Food and Agriculture Organization of the United Nations (FAO), 2014, SOM REG REC EXP 5 MI Food and Agriculture Organization of the United Nations (FAO), 2014, 150 FAO UN Food and Agriculture Organization of the United Nations (FAO), 2009, STAT FOOD AGR LIV BA Food and Agriculture Organization of the United Nations (FAO), 2012, 1203 FAO UN ESA Food and Agriculture Organization of the United Nations (FAO), 2014, FOOD NUTR NUMB 2014, P56 Food and Agriculture Organization of the United Nations (FAO) & United Nations Environment Programme (UNEP), 1999, FUT OUR LAND FAC CHA Food and Agriculture Organization of the United Nations (FAO) & United Nations Environment Programme (UNEP), 2014, SAV FOOD GLOB IN FOO Food and Agriculture Organization of the United Nations (FAO)/World Health Organization (WHO)/World Organisation for Animal Health (OIE), 2004, REP WHO FAO OIE JOIN Freier KP, 2014, LAND, V3, P917, DOI 10.3390/land3030917 Galvin K. A., 2008, FRAGMENTATION SEMIAR, DOI [10.1007/978-1-4020-4906-4, DOI 10.1007/978-1-4020-4906-4] Gerber P. A., 2014, P FAO UN FAO INV BAN Gerten D, 2011, J HYDROMETEOROL, V12, P885, DOI 10.1175/2011JHM1328.1 Harvest Choice, 2014, CHICK COW EFF LIV OW Hatfield R., 2006, GLOBAL REV EC PASTOR Henninger N, 2010, MAPPING BETTER FUTUR Henryks J., 2008, BFA PUBLICATION, V08/01 Herrero M., 2014, AFRICAN LIVESTOCK FU Herrero M, 2013, P NATL ACAD SCI USA, V110, P20878, DOI 10.1073/pnas.1321844111 IEA, 2013, WORLD EN OUTL 2013 International Forum for Agroecology, 2015, DECL INT FOR AGR NYE International Panel on Climate Change (IPCC), 2014, ASS REP AR5 Kay C., 2005, 3 ISS UNDP Kitchell E, 2014, PASTORALISM, V4, DOI 10.1186/s13570-014-0017-2 KOHLERROLLEFSON I, 2005, INDIGENOUS BREEDS LO Kratli S., 2010, MOBILE PASTORALISTS Ludena CE, 2007, AGR ECON, V37, P1, DOI 10.1111/j.1574-0862.2007.00218.x Ly A, 2005, PROPRIETE COLLECTIVE McCracken D., 2004, LA CANADA, V18, P27 McGahey D. J., 2014, PASTORALISM GREEN EC McMichael AJ, 2005, PUBLIC HEALTH NUTR, V8, P341, DOI 10.1079/PHN2005742 McPeak I., 2006, PASTORAL LIVESTOCK M, DOI [10.3362/9781780440323, DOI 10.3362/9781780440323] Mekonnen M, 2010, GREEN BLUE GREY WATE Mintel Corporation, 2014, NUMB GLOB VEG FOOD D Modernel P, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/035052 Motzfeldt G., 2005, WORKING PAPER Msangi S., 2012, 2020 C BOOK SERIES, P65 Ndzeidze S. K., 2015, LINKING LAND TENURE Niamir-Fuller M., 2012, PASTORALISM, V2, P2, DOI DOI 10.1186/2041-7136-2-8 Niamir-Fuller Maryam, 1999, MANAGING MOBILITY AF Nori M, 2006, NOMAD PEOPLES, V10, P9, DOI 10.3167/082279406781020392 Odhong J., 2015, AFRICA RISING Olibui O., 2015, B INT LAND COALITION, V6 Otieno K., 2015, B INT LAND COALITION, V6 Pollan Michael, 2002, NY TIMES MAGAZINE Rugadya M. A., 2010, TENURE MYSTERY STATU Ruggeri A., 2015, BBC EARTH BRITAIN Scientific Technical Advisory Panel of the Global Environment Facility, 2011, HYP NUTR RED COAST Z Shewmake S., 2008, VULNERABILITY IMPACT Sidahmed A. E., 1998, 30 IFAD TECHN ADV DI Smith P, 2010, PHILOS T R SOC B, V365, P2941, DOI 10.1098/rstb.2010.0127 Tamminga S, 2003, LIVEST PROD SCI, V84, P101, DOI 10.1016/j.livprodsci.2003.09.008 The World Bank, 2005, 32725GLB WORLD BANK Tiongco M., 2008, STRUCTURAL CHANGES P Toulmin C., 2006, SECURING LAND PROPER UN, 2015, TRANSF OUR WORLD 203 UNEP, 1992, WORLD ATLAS DESERTIF UNEP, 2011, GREEN EC PATHW SUST Vitousek PM, 2009, SCIENCE, V324, P1519, DOI 10.1126/science.1170261 Von Massow V. H., 1989, AFRICA, P7 Wenjun L., 2015, LINKING LAND TENURE WHO, 2014, GLOB REG FOOD CONS P Williams C., 2015, WIND POWERS GREEN GR World Health Organization (WHO), 2014, DIOX THEIR EFF HUM H NR 84 TC 4 Z9 4 U1 5 U2 25 PU OFFICE INT EPIZOOTIES PI PARIS PA 12 RUE DE PRONY, 75017 PARIS, FRANCE SN 0253-1933 J9 REV SCI TECH OIE JI Rev. Sci. Tech. Off. Int. Epizoot. PD AUG PY 2016 VL 35 IS 2 BP 371 EP 387 DI 10.20506/rst.35.2.2531 PG 17 WC Veterinary Sciences SC Veterinary Sciences GA EG1YU UT WOS:000390831100004 PM 27917985 OA Bronze DA 2019-04-09 ER PT J AU Elgert, L AF Elgert, Laureen TI The double edge of cutting edge: Explaining adoption and nonadoption of the STAR rating system and insights for sustainability indicators SO ECOLOGICAL INDICATORS LA English DT Article DE Sustainability indicators; Participation; Equity; Expertise; Feasibility; USA ID LOCAL SUSTAINABILITY; GOVERNANCE; LEGITIMACY; COMMUNITY; ACCOUNTABILITY; USABILITY; POLITICS; LESSONS; SCIENCE; POLICY AB STAR (Sustainability Tools for Assessing and Rating system), is a 'cutting edge' program that accounts for historical critiques of sustainability indicators, by responding to stakeholder demands for legitimacy, salience and credibility. Data from 37 interviews with urban planners and sustainability directors, illustrate that this sophistication largely accounts for why over 80 US communities and cities have opted to become members of STAR. The research, however, also uncovered a double edge: it is this sophistication that has also made STAR resource intensive and demanding of political support within municipal governments. High labor and resource demands make engagement difficult for some cities. Without substantial political support, STAR can be a tough sell to municipal administrations. Thus, feasibility needs to also be considered a factor in indicator relevance, usability, and in influence. There are, however, likely trade-offs between feasibility on the one hand, and legitimacy, salience and credibility on the other. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Elgert, Laureen] Worcester Polytech Inst, Social Sci & Policy Studies, 100 Inst Rd, Worcester, MA 01609 USA. RP Elgert, L (reprint author), Worcester Polytech Inst, Social Sci & Policy Studies, 100 Inst Rd, Worcester, MA 01609 USA. EM lelgert@wpi.edu CR Agyeman J, 2003, URBAN IND ENVIRON, P1 Atkinson G, 1996, ENVIRONMENT, V38, P16, DOI 10.1080/00139157.1996.9930982 AtKisson A., 1996, ENVIRON IMPACT ASSES, V16, P337 Auld G, 2010, GLOBAL ENVIRON POLIT, V10, P97, DOI 10.1162/GLEP_a_00016 Backstrand K, 2003, GLOBAL ENVIRON POLIT, V3, P24, DOI DOI 10.1162/152638003322757916 Banerjee SB, 2003, ORGAN STUD, V24, P143, DOI 10.1177/0170840603024001341 Bauler T, 2012, ECOL INDIC, V17, P38, DOI 10.1016/j.ecolind.2011.05.013 Bell S, 2004, SUSTAIN DEV, V12, P1, DOI 10.1002/sd.225 Bell S, 2001, LOCAL ENVIRON, V6, P291, DOI DOI 10.1080/13549830120073284 Bell S., 2008, SUSTAINABILITY INDIC Berardi Umberto, 2013, Environment Development and Sustainability, V15, P1573, DOI 10.1007/s10668-013-9462-0 Berkes F., 1999, SACRED ECOLOGY TRADI Bernstein Steven, 2004, J INT LAW INT RELATI, V1, P139 Biermann F, 2011, ECOL ECON, V70, P1856, DOI 10.1016/j.ecolecon.2011.04.008 Blanco H., 2012, MEASURING URBAN SUST Boehmer-Christiansen S, 2002, GEOFORUM, V33, P351, DOI 10.1016/S0016-7185(02)00018-0 Brugmann J., 1997, LOCAL ENVIRON, V2, P59, DOI DOI 10.1080/13549839708725512 Bullard R, 2012, WRONG COMPLEXION PRO Bullard R. D., 1990, DUMPING DIXIE RACE C Campbell S, 1996, J AM PLANN ASSOC, V62, P296, DOI 10.1080/01944369608975696 Cash DW, 2003, P NATL ACAD SCI USA, V100, P8086, DOI 10.1073/pnas.1231332100 Cashore B, 2002, GOVERNANCE, V15, P503, DOI 10.1111/1468-0491.00199 Cashore B., 2004, HARD CHOICES SOFT LA, P33 Ciegis R., 2015, ENG ECON, V63 Cooke B., 2001, PARTICIPATION NEW TY Desfor G., 2004, NATURE CITY MAKING E Dryzek JS, 2001, POLIT THEORY, V29, P651, DOI 10.1177/0090591701029005003 Elgert L., 2011, DELIBERATIONS COMMUN, P277 Elgert L, 2013, ENVIRON VALUE, V22, P765, DOI 10.3197/096327113X13781997646610 Elgert L, 2010, CRIT POLICY STUD, V3, P375, DOI 10.1080/19460171003619782 Elgert L, 2012, GEOFORUM, V43, P295, DOI 10.1016/j.geoforum.2011.08.008 Fraser EDG, 2006, J ENVIRON MANAGE, V78, P114, DOI 10.1016/j.jenvman.2005.04.009 Fuchs D, 2011, AGR HUM VALUES, V28, P353, DOI 10.1007/s10460-009-9236-3 Funtowicz S., 1998, INT J SUST DEV WORLD, V1, P99 FUNTOWICZ SO, 1994, ENVIRON TOXICOL CHEM, V13, P1881, DOI 10.1897/1552-8618(1994)13[1881:UCAPS]2.0.CO;2 Gaskell G., 2000, INDIVIDUAL GROUP INT, P38 Gasteyer S, 2000, SOC NATUR RESOUR, V13, P589, DOI 10.1080/08941920050114637 Gibbs D, 2012, INT J URBAN REGIONAL, V36, P363, DOI 10.1111/j.1468-2427.2011.01061.x Greenberg M., 2013, BOOM J CALIFORNIA, V3, P54 Hajer M, 2003, POLICY SCI, V36, P175, DOI 10.1023/A:1024834510939 Hak T, 2012, ECOL INDIC, V17, P46, DOI 10.1016/j.ecolind.2011.04.034 Hart M., 2015, SUSTAINABILITY INDIC Hezri AA, 2006, ECOL ECON, V60, P86, DOI 10.1016/j.ecolecon.2005.11.019 Holden M, 2013, ECOL INDIC, V32, P89, DOI 10.1016/j.ecolind.2013.03.007 Holman N, 2009, LOCAL ENVIRON, V14, P365, DOI 10.1080/13549830902783043 ICLEI, 2010, MAYORS OFF LONG TERM ICLEI, 2011, ICLEI SUBM RIO 20 CO Innes J E, 2000, PLANNING THEORY PRAC, V1, P173, DOI DOI 10.1080/14649350020008378 Jonas AEG, 2005, REGIONALISM CONTESTE, P223 Klintman M, 2009, J CONSUM POLICY, V32, P43, DOI 10.1007/s10603-009-9094-9 Krueger R, 2005, GEOFORUM, V36, P410, DOI 10.1016/j.geoforum.2004.07.005 McGurty EM, 2000, SOC NATUR RESOUR, V13, P373, DOI 10.1080/089419200279027 Meul M, 2009, ECOL INDIC, V9, P284, DOI 10.1016/j.ecolind.2008.05.007 Miller G, 2001, TOURISM MANAGE, V22, P351, DOI 10.1016/S0261-5177(00)00067-4 Moldan B, 2012, ECOL INDIC, V17, P4, DOI 10.1016/j.ecolind.2011.04.033 Moreno-Pires S, 2012, ECOL INDIC, V23, P608, DOI 10.1016/j.ecolind.2012.05.003 Nurick R, 1998, ENVIRON URBAN, V10, P233, DOI 10.1177/095624789801000110 Parris TM, 2003, ANNU REV ENV RESOUR, V28, P559, DOI 10.1146/annurev.energy.28.050302.105551 Pinfield G, 1996, LOCAL ENVIRON, V1, P151, DOI DOI 10.1080/13549839608725489 Redclift M, 2005, SUSTAIN DEV, V13, P212, DOI 10.1002/sd.281 Reed M, 2005, ECOL SOC, V10, DOI 10.5751/ES-01296-1001r03 Reed MS, 2008, ECOL APPL, V18, P1253, DOI 10.1890/07-0519.1 Reed MS, 2006, ECOL ECON, V59, P406, DOI 10.1016/j.ecolecon.2005.11.008 Reed MS, 2002, GEOGR J, V168, P224, DOI 10.1111/1475-4959.00050 Riley J, 2001, AGR ECOSYST ENVIRON, V87, P119, DOI 10.1016/S0167-8809(01)00271-7 Rosenstrom U, 2007, J ENVIRON MANAGE, V84, P282, DOI 10.1016/j.jenvman.2006.06.008 Rydin Y, 2007, ENVIRON PLANN D, V25, P610, DOI 10.1068/d72j Sandler R., 2007, ENV JUSTICE ENV SOCI Schouten G, 2011, ECOL ECON, V70, P1891, DOI 10.1016/j.ecolecon.2011.03.012 Sebastien L, 2013, ECOL INDIC, V35, P3, DOI 10.1016/j.ecolind.2013.04.014 Silva-Castaneda L, 2012, AGR HUM VALUES, V29, P361, DOI 10.1007/s10460-012-9358-x STAR Communities, 2012, STAR COMM RAT SYST Tasser E, 2008, ECOL INDIC, V8, P204, DOI 10.1016/j.ecolind.2007.01.005 Turcu C, 2013, J ENVIRON PLANN MAN, V56, P695, DOI 10.1080/09640568.2012.698984 Turnhout E, 2007, ECOL INDIC, V7, P215, DOI 10.1016/j.ecolind.2005.12.003 Van Esch S., 1997, SUSTAINABILITY INDIC, P310 Wynne B., 1996, RISK ENV MODERNITY N, P44, DOI DOI 10.4135/9781446221983.N3 NR 77 TC 6 Z9 6 U1 0 U2 6 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD AUG PY 2016 VL 67 BP 556 EP 564 DI 10.1016/j.ecolind.2016.02.051 PG 9 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA ED3YV UT WOS:000388785300055 DA 2019-04-09 ER PT J AU Banos-Gonzalez, I Martinez-Fernandez, J Esteve-Selma, MA AF Banos-Gonzalez, I. Martinez-Fernandez, J. Esteve-Selma, M. A. TI Using dynamic sustainability indicators to assess environmental policy measures in Biosphere Reserves SO ECOLOGICAL INDICATORS LA English DT Article DE System model; Integral approach; Environmental objectives; Sustainability thresholds; Trade-offs ID BUSTARD CHLAMYDOTIS-UNDULATA; CANARY-ISLANDS; SYSTEM DYNAMICS; SENSITIVITY-ANALYSIS; HOUBARA BUSTARD; LAND-USE; SOCIOECOLOGICAL SYSTEMS; CONSERVATION STATUS; ECOSYSTEM SERVICES; EGYPTIAN VULTURE AB The assessment of different policy options represents a major tool for decision-makers in Biosphere Reserves, to develop more-resilient strategies for sustainable development and to visualise unintended consequences of these policies. In this work we analyse eight measures proposed by different agents in order to meet the main objectives of environmental sustainability, included in the Action Plan of the Fuerteventura Biosphere Reserve (Spain). We quantified the effects of these measures in terms of the sustainability thresholds of 10 environmental indicators, also proposed by the Action Plan, which was integrated in the Fuerteventura Biosphere Reserve dynamic model. Their behaviours under these measures allow determination of whether the objectives will be met in the period 2012-2025. Although some indicators would improve under these measures, fitting certain objectives, some negative effects on other indicators confirm the existence of trade-offs among these objectives. For instance, grazing limitation would improve the proportion of high-quality vegetation but would negatively affect the Egyptian vulture population, which would even fall below its sustainability threshold. The definition of thresholds for each indicator allows decision-makers to establish a way to prioritise among the eight measures analysed. The results show that these measures are insufficient to meet the sustainability thresholds of four indicators (the landscape indicator, the proportion of renewable energy, the per capita primary energy consumption and carbon dioxide emissions). Focusing on the remaining six indicators and following the rule "Threshold out, measure out", seven out of the eight measures would exceed some thresholds and should be avoided. Only one option, aimed at growing fodder to feed cattle on restored traditional agricultural lands, would not exceed any of these thresholds. However, this measure also presents certain negative effects regarding indicators related to flagship species (the houbara habitat and the Egyptian vulture population), which would require compensation measures. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Banos-Gonzalez, I.; Esteve-Selma, M. A.] Univ Murcia, Dept Ecol & Hydrol, Campus Espinardo, E-30100 Murcia, Spain. [Martinez-Fernandez, J.] New Water Culture Fdn, C Pedro Cerbuna 12,4 Dcha, Zaragoza 50009, Spain. [Martinez-Fernandez, J.] Univ Murcia, Sustainabil Observ Murcia Reg OSERM, Edif D,3a Planta,Campus Espinardo, E-30100 Murcia, Spain. RP Banos-Gonzalez, I (reprint author), Univ Murcia, Dept Ecol & Hydrol, Campus Espinardo, E-30100 Murcia, Spain. EM ibbg1@um.es RI Martinez-Fernandez, Julia/J-9681-2012 OI Martinez-Fernandez, Julia/0000-0001-8675-947X; Banos-Gonzalez, Isabel/0000-0002-2569-1210 CR Arabi M, 2007, J HYDROL, V333, P459, DOI 10.1016/j.jhydrol.2006.09.012 Ascough JC, 2008, ECOL MODEL, V219, P383, DOI 10.1016/j.ecolmodel.2008.07.015 Banos-Gonzalez I., 2013, Ecosistemas, V22, P74, DOI 10.7818/ECOS.2013.22-3.11 Banos-Gonzalez I., 2016, EUR J WILDL RES Banos-Gonzalez I, 2015, ECOL MODEL, V306, P130, DOI 10.1016/j.ecolmodel.2014.08.014 Barlas Y, 1996, SYST DYNAM REV, V12, P183, DOI 10.1002/(SICI)1099-1727(199623)12:3<183::AID-SDR103>3.0.CO;2-4 Becken S, 2003, TOURISM MANAGE, V24, P267, DOI 10.1016/S0261-5177(02)00066-3 Becken S., 2002, Journal of Sustainable Tourism, V10, P114 Carrascal LM, 2008, AFR J ECOL, V46, P291, DOI 10.1111/j.1365-2028.2008.00971.x Carrascal LM, 2012, BIOL CONSERV, V152, P204, DOI 10.1016/j.biocon.2012.04.009 Council of Europe, 2000, EUR LANDSC CONV Cropper TE, 2014, INT J CLIMATOL, V34, P604, DOI 10.1002/joc.3710 DEARANZABAL I, 2008, ECOLOGICAL INDICATOR, V8, P672, DOI DOI 10.1016/J.ECOLIND.2007.11.003 del Arco Aguilar M., 2010, BIODIVERS CONSERV, V19, P3089, DOI DOI 10.1007/S10531-010-9881-2 Diaz FJ, 2011, AGR ECOSYST ENVIRON, V144, P253, DOI 10.1016/j.agee.2011.08.021 Diaz P., 2010, 4 INT C SUST TOUR, p[5, 309] Diedrich A, 2011, OCEAN COAST MANAGE, V54, P341, DOI 10.1016/j.ocecoaman.2010.12.009 Donazar JA, 2002, BIOL CONSERV, V107, P89, DOI 10.1016/S0006-3207(02)00049-6 Dorta-Santos M, 2014, SUSTAINABILITY-BASEL, V6, P6902, DOI 10.3390/su6106902 EC, 2015, 2030 EC EU EC, 2008, COM2008772 EC Figge F, 2004, ECOL ECON, V48, P173, DOI 10.1016/j.ecolecon.2003.08.005 FORD A, 1990, OPER RES, V38, P580, DOI 10.1287/opre.38.4.580 Gallopin G.C., 1997, SCOPE 58 SUSTAINABIL, P1327 Gangoso L, 2006, BIODIVERS CONSERV, V15, P2231, DOI 10.1007/s10531-004-7181-4 Garzon-Machado V, 2010, BIOL CONSERV, V143, P2685, DOI 10.1016/j.biocon.2010.07.012 Gee D, 2005, WATER SCI TECHNOL, V52, P25 Gonzalez-Laxe F, 2005, MAR POLICY, V29, P495, DOI 10.1016/j.marpol.2004.09.002 Guan DJ, 2011, ECOL INDIC, V11, P1333, DOI 10.1016/j.ecolind.2011.02.007 Hanley N, 2009, ECOL ECON, V68, P692, DOI 10.1016/j.ecolecon.2008.06.004 Hekimoglu M., 2010, P 28 INT C SYST DYN Hernandez-Moreno JM, 2007, SOILS VOLCANIC REGIO, P565, DOI DOI 10.1007/978-3-540-48711-1_39 Hjorth P, 2006, FUTURES, V38, P74, DOI 10.1016/j.futures.2005.04.005 Holmes G, 2010, ECOL MODEL, V221, P1173, DOI 10.1016/j.ecolmodel.2010.01.010 Iglesias G, 2011, RENEW ENERG, V36, P689, DOI 10.1016/j.renene.2010.08.021 Illera JC, 2010, J ARID ENVIRON, V74, P1408, DOI 10.1016/j.jaridenv.2010.04.012 Ishwaran N, 2008, INT J ENVIRON SUSTAI, V7, P118, DOI 10.1504/IJESD.2008.018358 Johansson T. B., 2004, ENERGY CHALLENGE SUS Jorgensen S.E., 2001, DEV ENV MODELLING, V21, P530 Kelly RA, 2013, ENVIRON MODELL SOFTW, V47, P159, DOI 10.1016/j.envsoft.2013.05.005 Kuo NW, 2009, J CLEAN PROD, V17, P1324, DOI 10.1016/j.jclepro.2009.04.012 Lavee D, 1985, BUSTARD STUDIES, V3, P103 Le Cuziat J, 2005, ARDEOLA, V52, P21 Levrel H, 2008, ECOL SOC, V13 Li FJ, 2012, ECOL MODEL, V227, P34, DOI 10.1016/j.ecolmodel.2011.12.005 Liu GY, 2014, ECOL MODEL, V271, P90, DOI 10.1016/j.ecolmodel.2013.08.014 Lloret F, 2011, FLORA, V206, P769, DOI 10.1016/j.flora.2011.04.007 Lorenzo J.A., 2004, LIBRO ROJO AVES ESPA Makler-Pick V, 2011, ENVIRON MODELL SOFTW, V26, P124, DOI 10.1016/j.envsoft.2010.06.010 Martinez F. J., 2013, ECOLOGICAL MODELLING, V248, P11, DOI [10.1016/j.ecolmodel.2012.09.018, DOI 10.1016/J.ECOLMODEL.2012.09.018] Martinez-Moyano IJ, 2013, SYST DYNAM REV, V29, P102, DOI 10.1002/sdr.1495 Mata J., 2000, USO GANADERO PARQUE Mateo-Tomas P, 2015, ECOL INDIC, V57, P331, DOI 10.1016/j.ecolind.2015.05.017 Millennium Ecosystem Assessment [MEA], 2005, EC HUM WELL BEING SY Moeller C, 2013, SUSTAIN SCI, V1, P16, DOI 10.1007/s11625-013-0228-2 Moldan B, 2012, ECOL INDIC, V17, P4, DOI 10.1016/j.ecolind.2011.04.033 Moreau P, 2013, ENVIRON MODELL SOFTW, V47, P74, DOI 10.1016/j.envsoft.2013.04.006 Mori K, 2012, ENVIRON IMPACT ASSES, V32, P94, DOI 10.1016/j.eiar.2011.06.001 Mosadeghi R, 2013, J ENVIRON PLANN MAN, V56, P1097, DOI 10.1080/09640568.2012.717886 Nguyen NC, 2011, SYST RES BEHAV SCI, V28, P51, DOI 10.1002/sres.1044 Nielsen SN, 2013, ECOL INDIC, V28, P31, DOI 10.1016/j.ecolind.2012.12.015 Nielsen SN, 2015, J CLEAN PROD, V96, P12, DOI 10.1016/j.jclepro.2014.08.035 Nogales M, 2006, MAMMAL REV, V36, P49, DOI 10.1111/j.1365-2907.2006.00077.x Oikonomou EK, 2009, ENERG POLICY, V37, P4874, DOI 10.1016/j.enpol.2009.06.050 Palacios M.P., 2008, WATER PRACT TECHNOL, V3 Palacios-Diaz MP, 2009, AGR WATER MANAGE, V96, P1659, DOI 10.1016/j.agwat.2009.06.021 Palomino D, 2008, QUERCUS, V273, P22 Price MF, 2010, ENVIRON SCI POLICY, V13, P549, DOI 10.1016/j.envsci.2010.06.005 Proelss A, 2012, OCEAN COAST MANAGE, V70, P22, DOI 10.1016/j.ocecoaman.2012.05.015 Rasmussen LV, 2012, AGR SYST, V107, P56, DOI 10.1016/j.agsy.2011.12.002 RENFORUS, 2014, REN EN FUT UNESCO SI Rickard L., 2007, SUSTAINABILITY INDIC, P65 Rodriguez AR, 2005, CATENA, V59, P117, DOI 10.1016/j.catena.2004.07.002 Rodriguez JP, 2006, ECOL SOC, V11 Rodriguez-Rodriguez D, 2012, ECOL INDIC, V23, P566, DOI 10.1016/j.ecolind.2012.05.009 Sampaio FDF, 2015, MAR POLICY, V51, P163, DOI [10.1016/j.marpol.2014.08.003, DOI 10.1016/J.MARPOL.2014.08.003] Santana-Jimenez Y, 2011, TOURISM MANAGE, V32, P415, DOI 10.1016/j.tourman.2010.03.013 Schouten M, 2014, ENVIRON MODELL SOFTW, V54, P196, DOI 10.1016/j.envsoft.2014.01.003 Schuster C, 2012, ANIM BIODIV CONSERV, V35, P125 Song GB, 2015, ECOL INDIC, V52, P57, DOI 10.1016/j.ecolind.2014.11.032 Stankey G. H., 1985, LIMITS ACCEPTABLE CH Su CH, 2012, SUSTAIN SCI, V7, P17, DOI 10.1007/s11625-011-0145-1 Sun XY, 2012, ENVIRON MODELL SOFTW, V37, P19, DOI 10.1016/j.envsoft.2012.04.010 Tejedor M., 2002, TROPICAL RESOURCES M, P3 van der Sluijs JP, 2007, ENVIRON MODELL SOFTW, V22, P590, DOI 10.1016/j.envsoft.2005.12.020 Vidal-Legaz B, 2013, J ENVIRON MANAGE, V131, P280, DOI 10.1016/j.jenvman.2013.09.036 von Geibler J, 2010, ECOL MODEL, V221, P2206, DOI 10.1016/j.ecolmodel.2010.03.022 Warmink JJ, 2010, ENVIRON MODELL SOFTW, V25, P1518, DOI 10.1016/j.envsoft.2010.04.011 Young J, 2005, BIODIVERS CONSERV, V14, P1641, DOI 10.1007/s10531-004-0536-z Zhang JK, 2015, ECOL INDIC, V56, P218, DOI 10.1016/j.ecolind.2015.04.006 Zhao R, 2015, ECOL INDIC, V51, P98, DOI 10.1016/j.ecolind.2014.08.030 NR 91 TC 6 Z9 6 U1 2 U2 13 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD AUG PY 2016 VL 67 BP 565 EP 576 DI 10.1016/j.ecolind.2016.03.021 PG 12 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA ED3YV UT WOS:000388785300056 DA 2019-04-09 ER PT J AU Agrawal, VV Ferguson, M Souza, GC AF Agrawal, Vishal V. Ferguson, Mark Souza, Gilvan C. TI Trade-In Rebates for Price Discrimination and Product Recovery SO IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT LA English DT Article DE Closed-loop supply chains; environmental issues in manufacturing; game theory; nonlinear optimization; price discrimination; pricing; remanufacturing; sustainability; trade-in programs ID REMANUFACTURED PRODUCTS; DURABLE GOODS; SUPPLY CHAINS; TAKE-BACK; MARKET; COMPETITION; STRATEGIES; ASTERISK AB We investigate when and how an original equipment manufacturer (OEM) should offer a trade-in rebate to recover used products in order to achieve better price discrimination and weaken competition from third-party remanufacturers (3PRs). This paper is motivated by a major IT equipment OEM, which negotiates with customers to offer them personalized trade-in rebates to induce them to return their old products and purchase new units. The company also faces increasing competition from 3PRs. We model such a trade-in program with negotiated rebates through a generalized Nash bargaining framework. Our main research question is whether the OEM should compete with a 3PR using only a trade-in program or by offering remanufactured products, or through both options. In the absence of 3PRs, the OEM always prefers to offer the trade-in program compared with not offering a trade-in program. As a trade-in program also helps to restrict the supply of used products to 3PRs, one would expect that offering a trade-in program would be more attractive in the presence of a 3PR. We show, however, that the OEM may find it detrimental to offer a trade-in program when faced with competition from a 3PR. We also show that despite the fact that cores are readily available via the trade-ins, the trade-in program makes it less attractive for the OEM to remanufacture. Finally, we show that offering a trade-in program may also lead to lower total environmental impact, but only in the presence of remanufactured products. C1 [Agrawal, Vishal V.] Georgetown Univ, McDonough Sch Business, Washington, DC 20057 USA. [Ferguson, Mark] Univ South Carolina, Moore Sch Business, Columbia, SC 29208 USA. [Souza, Gilvan C.] Indiana Univ, Kelley Sch Business, Bloomington, IN 47405 USA. RP Agrawal, VV (reprint author), Georgetown Univ, McDonough Sch Business, Washington, DC 20057 USA. EM va64@georgetown.edu; mark.ferguson@moore.sc.edu; gsouza@indiana.edu OI Ferguson, Mark/0000-0001-8317-138X CR Abbey James D., 2015, Production and Operations Management, V24, P488, DOI 10.1111/poms.12238 Atasu A, 2008, MANAGE SCI, V54, P1731, DOI 10.1287/mnsc.1080.0893 Atasu A, 2012, PROD OPER MANAG, V21, P407, DOI 10.1111/j.1937-5956.2011.01291.x Choudhary V, 2005, MANAGE SCI, V51, P1120, DOI 10.1287/mnsc.1050.0383 Crocker KJ, 2014, PROD OPER MANAG, V23, P1667, DOI 10.1111/poms.12028 Debo LG, 2005, MANAGE SCI, V51, P1193, DOI 10.1287/mnsc.1050.0369 Desai PS, 2004, MARKET SCI, V23, P219, DOI 10.1287/mksc.1040.0045 Ferguson ME, 2006, PROD OPER MANAG, V15, P351 Ferrer G, 2006, MANAGE SCI, V52, P15, DOI 10.1287/mnsc.1050.0465 Goensch J., 2014, J BUS EC, V84, P715 Guide VDR, 2010, DECISION SCI, V41, P547, DOI 10.1111/j.1540-5915.2010.00280.x HARSANYI JC, 1972, MANAGE SCI B-APPL, V18, pP80 Heese HS, 2005, EUR J OPER RES, V164, P143, DOI 10.1016/j.ejor.2003.11.008 LEVINTHAL DA, 1989, MARKET SCI, V8, P35, DOI 10.1287/mksc.8.1.35 Li KJ, 2011, M&SOM-MANUF SERV OP, V13, P108, DOI 10.1287/msom.1100.0307 Majumder P, 2001, PROD OPER MANAG, V10, P125 Nagarajan M, 2008, MANAGE SCI, V54, P1482, DOI 10.1287/mnsc.1080.0880 Orsdemir A, 2014, PROD OPER MANAG, V23, P48, DOI 10.1111/poms.12040 Okada EM, 2001, J CONSUM RES, V27, P433, DOI 10.1086/319619 Oraiopoulos N, 2012, MANAGE SCI, V58, P1022, DOI 10.1287/mnsc.1110.1456 Ovchinnikov A, 2014, PROD OPER MANAG, V23, P744, DOI 10.1111/poms.12070 Ovchinnikov A, 2011, PROD OPER MANAG, V20, P824, DOI 10.1111/J.1937-5956.2010.01214.x Purohit D., 1995, MARKET LETT, V6, P101 Rao RS, 2009, MARKET SCI, V28, P950, DOI 10.1287/mksc.1080.0461 Ray S., 2005, Manufacturing & Service Operations Management, V7, P208, DOI 10.1287/msom.1050.0080 RUBINSTEIN A, 1982, ECONOMETRICA, V50, P97, DOI 10.2307/1912531 Seager D., 2014, PLEN SESS CLOS LOOP Souza GC, 2013, DECISION SCI, V44, P7, DOI 10.1111/j.1540-5915.2012.00394.x Subramanian R, 2012, M&SOM-MANUF SERV OP, V14, P315, DOI 10.1287/msom.1110.0368 Tirole J, 2003, THEORY IND ORG VANACKERE A, 1995, RAND J ECON, V26, P58, DOI 10.2307/2556035 Waldman M, 2003, J ECON PERSPECT, V17, P131, DOI 10.1257/089533003321164985 NR 32 TC 12 Z9 13 U1 4 U2 42 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC PI PISCATAWAY PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA SN 0018-9391 EI 1558-0040 J9 IEEE T ENG MANAGE JI IEEE Trans. Eng. Manage. PD AUG PY 2016 VL 63 IS 3 BP 326 EP 339 DI 10.1109/TEM.2016.2574244 PG 14 WC Business; Engineering, Industrial; Management SC Business & Economics; Engineering GA DY2GF UT WOS:000384910400006 DA 2019-04-09 ER PT J AU Shaw, K Irfan, M Shankar, R Yadav, SS AF Shaw, Krishnendu Irfan, Mohd Shankar, Ravi Yadav, Surendra S. TI Low carbon chance constrained supply chain network design problem: a Benders decomposition based approach SO COMPUTERS & INDUSTRIAL ENGINEERING LA English DT Article DE Green supply chain network design; Carbon footprint; Chance constrained programming; Benders decomposition; Stochastic programming; Sustainability ID FACILITY LOCATION; PROGRAMMING-MODEL; GREEN; OPTIMIZATION; MANAGEMENT; UNCERTAINTY; ALGORITHM; POLICIES; MULTICOMMODITY; SUSTAINABILITY AB This paper proposes a chance constrained based green supply chain network design model addressing carbon emissions and carbon trading issues. The model determines the optimal flow of materials as well as emissions across the supply chain network. The basic model has been further extended into two models addressing different carbon emission issues. This study has contributed to the body of existing green supply chain literature through addressing uncertainties of suppliers' capacities, plants' capacities, warehouses' capacities and demand for sustainable supply chain network design problem. This study applies Benders decomposition algorithm to handle chance constrained sustainable supply chain network design problem. The proposed models are illustrated with suitable examples and results are carefully analyzed and discussed. The results demonstrated that the flow of materials across the supply chain network varies with the change of the probability as well as carbon credit price. The number of openings of the plants is also influenced with the change of carbon credit price. Similarly, variable cost and variable emissions have been found increased and decreased, respectively with the increase of carbon credit price for the base model. The model is also equipped with dissimilar carbon prices for handling cap and trade scenario. This paper may help managers to deal uncertainties as well as managing emissions of a supply chain network. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Shaw, Krishnendu; Irfan, Mohd] Indian Sch Mines, Dept Management Studies, Dhanbad 826004, Jharkhand, India. [Shankar, Ravi; Yadav, Surendra S.] Indian Inst Technol Delhi, Dept Management Studies, New Delhi 110016, India. RP Shaw, K (reprint author), Indian Sch Mines, Dept Management Studies, Dhanbad 826004, Jharkhand, India. EM shawkrishnendu@gmail.com CR Abdallah T, 2012, APPL MATH MODEL, V36, P4271, DOI 10.1016/j.apm.2011.11.056 Abu Alhaj M, 2016, RESOUR CONSERV RECY, V108, P82, DOI 10.1016/j.resconrec.2015.11.011 Ahi P, 2013, J CLEAN PROD, V52, P329, DOI 10.1016/j.jclepro.2013.02.018 Baud-Lavigne B, 2014, COMPUT IND ENG, V76, P16, DOI 10.1016/j.cie.2014.07.014 Benjaafar S, 2013, IEEE T AUTOM SCI ENG, V10, P99, DOI 10.1109/TASE.2012.2203304 Bilsel RU, 2011, TRANSPORT RES B-METH, V45, P1284, DOI 10.1016/j.trb.2011.02.007 Birge J., 1997, INTRO STOCHASTIC PRO Bortz C., 2007, HARVARD BUSINESS REV Boukherroub T, 2015, COMPUT OPER RES, V54, P180, DOI 10.1016/j.cor.2014.09.002 Brandenburg M, 2014, EUR J OPER RES, V233, P299, DOI 10.1016/j.ejor.2013.09.032 Cakir O, 2009, EXPERT SYST APPL, V36, P8212, DOI 10.1016/j.eswa.2008.10.037 Chaabane A, 2012, INT J PROD ECON, V135, P37, DOI 10.1016/j.ijpe.2010.10.025 Chaabane A, 2011, PROD PLAN CONTROL, V22, P727, DOI 10.1080/09537287.2010.543554 CHARNES A, 1959, MANAGE SCI, V6, P73, DOI 10.1287/mnsc.6.1.73 Choudhary A, 2015, INT J PROD ECON, V164, P433, DOI 10.1016/j.ijpe.2014.08.015 Coskun S., 2015, J CLEANER PRODUCTION Costa AM, 2005, COMPUT OPER RES, V32, P1429, DOI 10.1016/j.cor.2003.11.012 Cui LB, 2014, APPL ENERG, V136, P1043, DOI 10.1016/j.apenergy.2014.05.021 Dore MHI, 2005, ENVIRON INT, V31, P1167, DOI 10.1016/j.envint.2005.03.004 Du S., 2015, ANN OPERATIONS RES Duan HB, 2014, ENERGY, V69, P345, DOI 10.1016/j.energy.2014.03.022 Elhedhli S, 2012, TRANSPORT RES D-TR E, V17, P370, DOI 10.1016/j.trd.2012.02.002 Eskandarpour M, 2015, OMEGA-INT J MANAGE S, V54, P11, DOI 10.1016/j.omega.2015.01.006 Fahimnia B, 2015, INT J PROD ECON, V162, P101, DOI 10.1016/j.ijpe.2015.01.003 Fan Y, 2014, ENERG ENVIRON-UK, V25, P519, DOI 10.1260/0958-305X.25.3-4.519 Farahani RZ, 2012, COMPUT IND ENG, V62, P368, DOI 10.1016/j.cie.2011.08.020 GEOFFRION AM, 1974, MANAGE SCI, V20, P822, DOI 10.1287/mnsc.20.5.822 Govindan K, 2015, COMPUT OPER RES, V62, P112, DOI 10.1016/j.cor.2014.12.014 Govindan K, 2015, J CLEAN PROD, V98, P66, DOI 10.1016/j.jclepro.2013.06.046 Gunasekaran A, 2015, TRANSPORT RES E-LOG, V74, P1, DOI 10.1016/j.tre.2015.01.002 Gunasekaran A, 2012, INT J PROD ECON, V140, P35, DOI 10.1016/j.ijpe.2011.05.011 Hafezalkotob A, 2015, COMPUT IND ENG, V82, P103, DOI 10.1016/j.cie.2015.01.016 Hart SL, 1997, HARVARD BUS REV, V75, P66 Jamshidi R, 2012, SCI IRAN, V19, P1876, DOI 10.1016/j.scient.2012.07.002 Jin MZ, 2014, J CLEAN PROD, V85, P453, DOI 10.1016/j.jclepro.2013.08.042 Kall P., 1994, STOCHASTIC PROGRAMMI Keyvanshokooh E, 2016, EUR J OPER RES, V249, P76, DOI 10.1016/j.ejor.2015.08.028 Khatami M, 2015, TRANSPORT RES E-LOG, V79, P1, DOI 10.1016/j.tre.2015.03.003 Klibi W, 2010, EUR J OPER RES, V203, P283, DOI 10.1016/j.ejor.2009.06.011 Lash J, 2007, HARVARD BUS REV, V85, P94 Mallidis I, 2014, TRANSPORT RES E-LOG, V72, P210, DOI 10.1016/j.tre.2014.10.008 Meixell MJ, 2005, TRANSPORT RES E-LOG, V41, P531, DOI 10.1016/j.tre.2005.06.003 Melo MT, 2009, EUR J OPER RES, V196, P401, DOI 10.1016/j.ejor.2008.05.007 Nazemi A, 2013, NEUROCOMPUTING, V121, P540, DOI 10.1016/j.neucom.2013.05.034 Oliveira F, 2014, COMPUT OPER RES, V49, P47, DOI 10.1016/j.cor.2014.03.021 Pachauri R. K., 2008, CLIMATE CHANGE 2007 Packard KO, 2000, HARVARD BUS REV, V78, P128 Pishvaee MS, 2014, TRANSPORT RES E-LOG, V67, P14, DOI 10.1016/j.tre.2014.04.001 Pishvaee MS, 2012, COMPUT IND ENG, V62, P624, DOI 10.1016/j.cie.2011.11.028 Pishvaee MS, 2012, APPL MATH MODEL, V36, P3433, DOI 10.1016/j.apm.2011.10.007 Porter ME, 2006, HARVARD BUS REV, V84, P78 Purohit AK, 2016, J CLEAN PROD, V113, P654, DOI 10.1016/j.jclepro.2015.11.004 Ren J, 2015, COMPUT IND ENG, V80, P181, DOI 10.1016/j.cie.2014.12.007 Rezaee A., 2015, ANN OPERATIONS RES Saharidis GKD, 2010, COMPUT CHEM ENG, V34, P1237, DOI 10.1016/j.compchemeng.2009.10.002 Santibanez-Gonzalez EDR, 2013, COMPUT IND ENG, V66, P889, DOI 10.1016/j.cie.2013.09.005 Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 Srivastava SK, 2007, INT J MANAG REV, V9, P53, DOI 10.1111/j.1468-2370.2007.00202.x Subramanian N, 2015, INT J PROD ECON, V164, P216, DOI 10.1016/j.ijpe.2014.12.002 Sundarakani B, 2010, INT J PROD ECON, V128, P43, DOI 10.1016/j.ijpe.2010.01.018 Talaei M, 2016, J CLEAN PROD, V113, P662, DOI 10.1016/j.jclepro.2015.10.074 Le TPN, 2013, J INTELL MANUF, V24, P653, DOI 10.1007/s10845-011-0613-6 Uster H, 2011, OPER RES LETT, V39, P138, DOI 10.1016/j.orl.2011.02.003 VANROY TJ, 1986, OPER RES, V34, P145, DOI 10.1287/opre.34.1.145 Varsei M, 2014, SUPPLY CHAIN MANAG, V19, P242, DOI 10.1108/SCM-12-2013-0436 Vidal CJ, 1997, EUR J OPER RES, V98, P1, DOI 10.1016/S0377-2217(97)80080-X Viswanathan N., 2008, SUPPLY CHAIN NETWORK Wang F, 2011, DECIS SUPPORT SYST, V51, P262, DOI 10.1016/j.dss.2010.11.020 Wentges P., 1996, Mathematical Methods of Operations Research, V44, P267, DOI 10.1007/BF01194335 Wu H. J., 1994, INT J PHYS DISTRIB, V25, P20, DOI DOI 10.1108/09600039510083925 Yang HJ, 2011, ENRGY PROCED, V5, P1225, DOI 10.1016/j.egypro.2011.03.214 Zhang Q, 2014, COMPUT IND ENG, V74, P68, DOI 10.1016/j.cie.2014.05.002 NR 72 TC 16 Z9 16 U1 3 U2 32 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0360-8352 EI 1879-0550 J9 COMPUT IND ENG JI Comput. Ind. Eng. PD AUG PY 2016 VL 98 BP 483 EP 497 DI 10.1016/j.cie.2016.06.011 PG 15 WC Computer Science, Interdisciplinary Applications; Engineering, Industrial SC Computer Science; Engineering GA DU1EA UT WOS:000381949800041 DA 2019-04-09 ER PT J AU van Ree, CCDF van Beukering, PJH AF van Ree, C. C. D. F. van Beukering, P. J. H. TI Geosystem services: A concept in support of sustainable development of the subsurface SO ECOSYSTEM SERVICES LA English DT Article DE Geosystem services; Ecosystem services; Subsurface; Environmental economics; Sustainability; Urbanization ID ECOSYSTEM SERVICES; LAND-USE; GEODIVERSITY; MANAGEMENT; VALUATION; CONTEXT AB Because functions of the subsurface are hidden from view, its important role in society is often taken for granted. Underground use in cities and subsurface resource extraction rapidly increase. Ensuring sustainability of the subsurface role requires balancing between exploitation and conservation, recognizing the non-renewability of abiotic resources and the long time cycles in the subsurface. This paper introduces the concept of geosystem services as a framework to analyze the issue of sustainable use of the subsurface in a systemic and holistic manner. Four main elements make up the framework: geosystems, services, values, and governance. Complementarity between the concepts of geosystem and ecosystems services is highlighted by classifying geosystem services in provisioning, regulating, cultural and supporting services. Geosystem services are distinguished from ecosystem services by systematically reflecting on three cross-cutting themes (i.e. space, scale and time). Applying the concept of 'geosystem services' results in improved integration in areas where trade-offs occur between 'geosystem services' stemming from the subsurface and 'ecosystem services' at surface. The geosystem services concept helps framing a more sustainable process of urbanization, and contributes to a spatially explicit linkage of (mineral) resource production to consumption, environmental impacts on the ecosystem and (global) governance of resources and resource efficiencies. (C) 2016 Elsevier B.V. All rights reserved. C1 [van Ree, C. C. D. F.; van Beukering, P. J. H.] Vrije Univ Amsterdam, Inst Environm Studies, De Boelelaan 1087, NL-1081 HV Amsterdam, Netherlands. [van Ree, C. C. D. F.] Deltares, Unit Geoengn, POB 177, NL-2600 MH Delft, Netherlands. RP van Ree, CCDF (reprint author), Deltares, Unit Geoengn, POB 177, NL-2600 MH Delft, Netherlands. EM Derk.vanRee@deltares.nl RI van Ree, Derk/B-6041-2013; van Beukering, Pieter/L-3509-2013 OI van Ree, Derk/0000-0002-7038-0163; van Beukering, Pieter/0000-0001-7146-4409 CR ALBRUT MI, 1977, SOV GEOGR, V18, P115, DOI 10.1080/00385417.1977.10640163 Andrews-Speed P., 2012, WATER MINER, V90 Armstrong CW, 2012, ECOSYST SERV, V2, P2, DOI 10.1016/j.ecoser.2012.07.001 Bennett EM, 2015, CURR OPIN ENV SUST, V14, P76, DOI 10.1016/j.cosust.2015.03.007 Braat LC, 2012, ECOSYST SERV, V1, P4, DOI 10.1016/j.ecoser.2012.07.011 Brouwer K., 2016, SYNTHESIS APPROACHES Cornell S, 2011, PROCEDIA ENVIRON SCI, V6, P88, DOI 10.1016/j.proenv.2011.05.009 Crutzen Paul J., 2000, GLOBAL CHANGE NEWSLE, V41, P17 Daily C. C., 1997, ECOSYSTEM SERVICES S Daily GC, 2009, FRONT ECOL ENVIRON, V7, P21, DOI 10.1890/080025 de Groot R, 2006, LANDSCAPE URBAN PLAN, V75, P175, DOI 10.1016/j.landurbplan.2005.02.016 de Groot R, 2010, EC ECOSYSTEMS BIODIV De Mulder E., 2012, SUSTAINABLE DEV MANA, P192 Delft C.E., 2012, TERRA INCOGNITA WAAR Dominati E, 2010, ECOL ECON, V69, P1858, DOI 10.1016/j.ecolecon.2010.05.002 EIA, 2015, NATURAL GAS EU European Union, 2013, MAPP ASS EC SERV AN European Commission, 2012, GUID BEST PRACT LIM Goldewijk KK, 2013, LANDSCAPE ECOL, V28, P861, DOI 10.1007/s10980-013-9877-x Gordon J., 2011, SCOTLANDS GEODIVERSI Gray M, 2004, GEODIVERSITY VALUING Gray M., 2005, G WRIGHT FORUM, V22, P4 Gray M, 2013, P GEOLOGIST ASSOC, V124, P659, DOI 10.1016/j.pgeola.2013.01.003 Gray M, 2012, SCOT GEOGR J, V128, P177, DOI 10.1080/14702541.2012.725858 Gray M, 2011, ENVIRON CONSERV, V38, P271, DOI 10.1017/S0376892911000117 Haines-Young R. H., 2013, EEAIEA09003 Hertwich E., 2010, ASS ENV IMP CONS PRO Highley D.E., 2004, CR04070N UK BRIT GEO ICOMOS, 2014, EARTH ARCH HER JRC, 2015, MAPP ASS EC THEIR SE Kennedy C.A., 2015, P NATL ACAD SCI Millennium Ecosystem Assessment [MEA], 2005, EC HUM WELL BEING SY Norgaard RB, 2010, ECOL ECON, V69, P1219, DOI 10.1016/j.ecolecon.2009.11.009 OECD, 2012, SUST MAT MAN MAK BET OECD, 2014, EC OUTL NO 95 MAY 20 OECD, 2015, OECD GREEN GROWTH ST Robinson DA, 2014, SOIL SCI SOC AM J, V78, P685, DOI 10.2136/sssaj2014.01.0017 Schroter M, 2014, CONSERV LETT, V7, P514, DOI 10.1111/conl.12091 Sefelnasr A, 2015, J ARID ENVIRON, V122, P46, DOI 10.1016/j.jaridenv.2015.06.009 Semenov YM, 2013, GEOGR NAT RESOUR, V34, P197, DOI 10.1134/S1875372813030013 Snytko V.A., 2008, SOSNOWIEC, V8, P141 Sochava V. B., 1974, TOPOLOGICAL ASPECTS Steppacher R., 2008, DIFFERENCES BIOTIC M TEEB - The Economics of Ecosystems and Biodiversity, 2010, EC EC BIOD MAINSTR E UK NEA (UK National Ecosystem Assessment), 2011, UK NAT EC ASS SYNTH UN United Nations Statistics Division, 2014, STESASTATSERF112 UN UN-United Nations, 2014, STESASTATSERF109 UN UNEP, 2011, RES EFF EC OUTL AS P UNEP, 2011, GREEN EC PATHW SUST United Nations, 2014, STESASERA366 UN United Nations Department of Economic and Social Affairs Population Division, 2015, ESAPWP241 DEP EC SOC van der Meulen ES, 2016, ECOSYST SERV, V19, P1, DOI 10.1016/j.ecoser.2016.03.007 Zhang Y, 2013, ENVIRON POLLUT, V178, P463, DOI 10.1016/j.envpol.2013.03.052 NR 53 TC 6 Z9 6 U1 1 U2 15 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2212-0416 J9 ECOSYST SERV JI Ecosyst. Serv. PD AUG PY 2016 VL 20 BP 30 EP 36 DI 10.1016/j.ecoser.2016.06.004 PG 7 WC Ecology; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA DU5QX UT WOS:000382267500003 DA 2019-04-09 ER PT J AU Grebitus, C Steiner, B Veeman, MM AF Grebitus, Carola Steiner, Bodo Veeman, Michele M. TI Paying for sustainability: A cross-cultural analysis of consumers' valuations of food and non-food products labeled for carbon and water footprints SO JOURNAL OF BEHAVIORAL AND EXPERIMENTAL ECONOMICS LA English DT Article DE Canada; Germany; Ground beef; Potatoes; Toilet paper; Yoghurt ID WILLINGNESS-TO-PAY; INTERNATIONAL-TRADE; COUNTRY ANALYSIS; STORE BRANDS; PREFERENCES; CONSUMPTION; ATTITUDES; VALUES; COFFEE; MATERIALISM AB Increasing environmental concerns of consumers and global supply chains center on the impacts of carbon dioxide emissions and water usage. This study analyzes consumers' preferences for sustainable products as indicated by water and carbon footprint labels, enabling a rare cross-cultural comparison. We conduct discrete choice experiments in Canada and Germany to identify possible cross-cultural effects. Four products were considered contrasting food and non-food staple products, plant-based and animal based foods, and processed and unprocessed food items. Results from mixed logit models suggest that each national group of consumers is - irrespective of their cultural background - highly heterogeneous in the discounts required for them to purchase products with larger carbon footprints. The non-food product is discounted most with regard to water usage, followed by the plant product, suggesting that consumers make major category distinctions in their evaluations. German consumers are found to have stronger preferences overall for products with lower footprints than Canadian consumers. The nature of the significant differences in results across product categories and countries could aid industry and policy stakeholders in designing targeted footprint labeling initiatives. (C) 2016 Elsevier Inc. All rights reserved. C1 [Grebitus, Carola] Arizona State Univ, WP Carey Sch Business, Morrison Sch Agribusiness, 7231 E Sonoran Arroyo Mall, Mesa, AZ 85212 USA. [Steiner, Bodo] Univ Southern Denmark, Dept Entrepreneurship & Relationship Management, Odense, Denmark. [Steiner, Bodo] Univ Alberta, Edmonton, AB T6G 2M7, Canada. [Veeman, Michele M.] Univ Alberta, Dept Resource Econ & Environm Sociol, Edmonton, AB T6G 2M7, Canada. RP Grebitus, C (reprint author), Arizona State Univ, WP Carey Sch Business, Morrison Sch Agribusiness, 7231 E Sonoran Arroyo Mall, Mesa, AZ 85212 USA. EM carola.grebitus@asu.edu FU Canadian Consumer and Market Demand Network [CMD-548] FX Funding from the Canadian Consumer and Market Demand Network (http://www.consumerdemand.rees.ualberta.ca/) is gratefully acknowledged. Sub-grant Number: CMD-548. CR Angulo A.M., 2003, 83 EAAE SEM CHAN SEP [Anonymous], 2012, FINANCIAL TIMES [Anonymous], 2015, GUARDIAN Baddeley S., 2012, Estey Centre Journal of International Law and Trade Policy, V13, P59 Bethlehem J., 2009, STAT CANADAS INT S S Bethlehem J, 2010, INT STAT REV, V78, P161, DOI 10.1111/j.1751-5823.2010.00112.x Bredhal L., 2001, J CONSUMER POLICY, V24, P23, DOI DOI 10.1023/A:1010950406128 Chapagain AK, 2007, ECOL ECON, V64, P109, DOI 10.1016/j.ecolecon.2007.02.022 Chapagain AK, 2006, ECOL ECON, V60, P186, DOI 10.1016/j.ecolecon.2005.11.027 Chapagain AK, 2009, J ENVIRON MANAGE, V90, P1219, DOI 10.1016/j.jenvman.2008.06.006 Chapagain A.K., 2004, RES REPORT SERIES VA, V2 Cohen MA, 2012, ENERG ECON, V34, pS53, DOI 10.1016/j.eneco.2012.08.032 Daly A, 2012, TRANSPORT RES B-METH, V46, P333, DOI 10.1016/j.trb.2011.10.008 De Pelsmacker P, 2005, J CONSUM AFF, V39, P363, DOI 10.1111/j.1745-6606.2005.00019.x Economist, 2011, ECONOMIST 0602 Edwards-Jones G, 2009, ENVIRON SCI POLICY, V12, P479, DOI 10.1016/j.envsci.2008.10.005 Ercin A.E., 2012, CARBON WATER FOOTPRI Erdem T, 2006, J MARKETING, V70, P34, DOI 10.1509/jmkg.2006.70.1.34 Erdem T, 2004, J MARKETING RES, V41, P86, DOI 10.1509/jmkr.41.1.86.25087 Erdem T, 2012, J ACAD MARKET SCI, V40, P86, DOI 10.1007/s11747-011-0288-8 FAO, 2015, CLIM CHANG FOOD SYST Field C.B., 2014, CLIMATE CHANGE 2014, P35 Galloway JN, 2007, AMBIO, V36, P622, DOI 10.1579/0044-7447(2007)36[622:ITIMTT]2.0.CO;2 Ger G, 1996, J ECON PSYCHOL, V17, P55, DOI 10.1016/0167-4870(95)00035-6 Grebitus C, 2015, FOOD POLICY, V52, P84, DOI 10.1016/j.foodpol.2014.06.011 Grebitus C, 2013, FOOD POLICY, V40, P109, DOI 10.1016/j.foodpol.2013.02.005 Grebitus C, 2013, AM J AGR ECON, V95, P397, DOI 10.1093/ajae/aas109 Guenther M, 2012, CARBON MANAG, V3, P445, DOI 10.4155/CMT.12.50 Guerrero L, 2009, APPETITE, V52, P345, DOI 10.1016/j.appet.2008.11.008 Henley W., 2013, THE GUARDIAN 0823 Hensher DA, 2010, TRANSPORT RES B-METH, V44, P735, DOI 10.1016/j.trb.2009.12.012 Hessing M., 2007, CANADIAN NATURAL RES Internet World Stats, 2016, CAN INT US BROADB TE IPCC, 2013, 5 IPCC Jaeger SR, 1998, FOOD QUAL PREFER, V9, P355, DOI 10.1016/S0950-3293(98)00031-7 Jones G., 2013, 14018 HARV BUS SCH Kenward A., 2010, SCI AM Kilbourne W, 2005, J ECON PSYCHOL, V26, P624, DOI 10.1016/j.joep.2004.12.009 Kimura A, 2010, APPETITE, V55, P271, DOI 10.1016/j.appet.2010.06.013 Kissinger M, 2012, FOOD POLICY, V37, P171, DOI 10.1016/j.foodpol.2012.01.002 Krystallis A, 2005, BRIT FOOD J, V107, P320, DOI 10.1108/00070700510596901 Liu TT, 2016, RENEW SUST ENERG REV, V53, P68, DOI 10.1016/j.rser.2015.08.050 Louviere J. J, 2000, STATED CHOICE METHOD Lusk JL, 2004, EUR REV AGRIC ECON, V31, P179, DOI 10.1093/erae/31.2.179 McDaniels TL, 1998, WATER RESOUR RES, V34, P1299, DOI 10.1029/98WR00436 Menapace L., 2008, CONSUMER PREFERENCES Menegaki A.N., 2013, 134 AIAS U AMST Minx J., 2007, REPORT UK DEP ENV FO Nocella G, 2010, APPL ECON PERSPECT P, V32, P275, DOI 10.1093/aepp/ppp009 Notarnicola B., 2015, LIFE CYCLE ASSESSMEN, P1, DOI DOI 10.1007/978-3-319-11940-3_1 NPR, 2015, NO ON TALK WHAT PAC Onozaka Y., 2015, RENEW AGR FOOD SYST, V31, P1 Perera L. C. R., 2007, CONT MANAGEMENT RES, V3, P119, DOI [10.7903/cmr.46, DOI 10.7903/CMR.46] Peschel AO, 2016, APPETITE, V106, P78, DOI 10.1016/j.appet.2016.02.162 Powers G., 2011, MSN MONEY RBC, 2015, RBC CAN WAT ATT STUD Rees W., 1992, ENVIRON URBAN, V4, P121, DOI DOI 10.1177/095624789200400212 Revelt D., 1999, CUSTOMER SPECIFIC TA Richey AS, 2015, WATER RESOUR RES, V51, P5217, DOI 10.1002/2015WR017349 Ridoutt BG, 2013, INT J LIFE CYCLE ASS, V18, P204, DOI 10.1007/s11367-012-0458-z Ridoutt BG, 2010, GLOBAL ENVIRON CHANG, V20, P113, DOI 10.1016/j.gloenvcha.2009.08.003 Rokeach M, 1973, NATURE HUMAN VALUES Rost S, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006331 Saunders C, 2006, FOOD MILES COMP ENER Savage SJ, 2008, J APPL ECONOM, V23, P351, DOI 10.1002/jae.984 Schumacher I, 2010, ECOL ECON, V69, P2202, DOI 10.1016/j.ecolecon.2010.06.005 Shewmake S, 2015, ECOL ECON, V119, P168, DOI 10.1016/j.ecolecon.2015.08.007 Sorensen G, 2007, AM J PUBLIC HEALTH, V97, P1216, DOI 10.2105/AJPH.2006.088120 Stancich R., 2011, SUMMARY GLOBAL CARBO Statista-Das Statistik Portal, 2016, ANT INT DEUTSCHL JAH Teisl MF, 2003, FOREST SCI, V49, P668 Thaler R, 2008, NUDGE IMPROVING DECI Train K. E, 2009, DISCRETE CHOICE MODE Upham P, 2011, J CLEAN PROD, V19, P348, DOI 10.1016/j.jclepro.2010.05.014 Van Loo EJ, 2015, ECOL ECON, V118, P215, DOI 10.1016/j.ecolecon.2015.07.011 Vecchio R, 2015, J CLEAN PROD, V86, P335, DOI 10.1016/j.jclepro.2014.08.006 Verbeke W, 2010, MEAT SCI, V84, P284, DOI 10.1016/j.meatsci.2009.05.001 WWAP (United Nations World Water Assessment Programme), 2015, UN WORLD WAT DEV REP NR 78 TC 7 Z9 7 U1 5 U2 55 PU ELSEVIER SCIENCE INC PI NEW YORK PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA SN 2214-8043 EI 2214-8051 J9 J BEHAV EXP ECON JI J. Behav. Exp. Econ. PD AUG PY 2016 VL 63 BP 50 EP 58 DI 10.1016/j.socec.2016.05.003 PG 9 WC Economics SC Business & Economics GA DT6JV UT WOS:000381591400006 DA 2019-04-09 ER PT J AU Chou, TY AF Chou, Tsung-Yu TI A STUDY ON INTERNATIONAL TRADE RISKS OF OCEAN FREIGHT FORWARDERS SO JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN LA English DT Article DE ocean freight forwarders; trade risks; analytic hierarchy process; fuzzy set ID PLANNING PROCESS; MANAGEMENT; INTEGRATION; MODEL AB Ocean freight forwarders play a critical role in the economic development of Taiwan and import/export services are their most important business line. As an integral element of the marine transportation industry, forwarders find themselves exposed to greater risks due to the homogeneity of their services in a highly competitive and changeable marketplace. It is hence essential to develop a model to evaluate trade risks so as to prevent and mitigate such risks, enhance competitive edge and operational sustainability. This paper examines the trade risks undertaken by the ocean freight forwarding industry in Taiwan and applies the algorithms of fuzzy multi-criteria decision making (FMCDM) to construct a model to assess such risks for the industry in an empirical study. By combining the fuzzy set theory with the analytic hierarchy process (AHP) technique, this paper fmds that the most important dimension of the import/export risks undertaken by ocean freight forwarders are partnership risks, followed by freight operational risks and warehousing operational risks. The top three risk items are the unfamiliarity with overseas customs regulations and procedures, insufficient capability in warehousing operations and insufficient capability in container loading/unloading. C1 [Chou, Tsung-Yu] Natl Chin Yi Univ Technol, Dept Distribut Management, Taichung, Taiwan. RP Chou, TY (reprint author), Natl Chin Yi Univ Technol, Dept Distribut Management, Taichung, Taiwan. EM arthur@ncut.edu.tw CR Adams B. S., 2012, TRANSPORT RES E-LOG, V48, P881 Chan FTS, 2007, OMEGA-INT J MANAGE S, V35, P417, DOI 10.1016/j.omega.2005.08.004 Chang C. Y., 2014, INT TRADE PRACTICE Chen K. K., 1997, MARITIME RES J, V4, P89 CHEN SH, 2000, AUSTR J INTELLIGENT, V6, P217 Chen Y. C., 2012, SHIP SHIPPING NEWSLE, V106, P1 Cherunilam F., 2010, INT TRADE EXPORT MAN Chou TY, 2008, INT J HOSP MANAG, V27, P293, DOI 10.1016/j.ijhm.2007.07.029 Chow HKH, 2013, EXPERT SYST APPL, V40, P3858, DOI 10.1016/j.eswa.2012.12.042 Das T.K., 2001, J INT MANAG, V7, P1, DOI DOI 10.1016/S1075-4253(00)00037-5 Erensal YC, 2006, INFORM SCIENCES, V176, P2755, DOI 10.1016/j.ins.2005.11.004 Feenstra RC, 2016, ADV INT TRADE THEORY Hutchins G, 2003, ASQS ANN QUALITY C P, V57, P49 Jose L, 2009, TRANSPORT RES E-LOG, V45, P186 Kahraman C, 2006, EUR J OPER RES, V171, P390, DOI 10.1016/j.ejor.2004.09.016 Kroemer K., 1999, ERGONOMICS Lin K., 2014, SHIPPING MANAGEMENT Link P, 2004, INT J PROD ECON, V90, P71, DOI 10.1016/S0925-5273(03)00051-3 Link P, 2001, THESIS Lun Y. H. V., 2011, RES TRANSP ECON, V32, P64 Robbins S. P., 1994, MANAGEMENT Saaty T. L, 1980, ANAL HIERARCHY PROCE Tang O, 2011, INT J PROD ECON, V133, P25, DOI 10.1016/j.ijpe.2010.06.013 Uher T. E., 1999, INT J PROJ MANAG, V17, P161, DOI DOI 10.1016/S0263-7863(98)00024-6 Wiengarten F, 2016, INT J PROD ECON, V171, P361, DOI 10.1016/j.ijpe.2015.03.020 Yang YC, 2011, SAFETY SCI, V49, P382, DOI 10.1016/j.ssci.2010.09.019 YANG YL, 2010, MARIT Q, V19, P1 ZADEH LA, 1975, INFORM SCIENCES, V8, P301, DOI 10.1016/0020-0255(75)90046-8 ZADEH LA, 1975, INFORM SCIENCES, V9, P43, DOI 10.1016/0020-0255(75)90017-1 ZADEH LA, 1975, INFORM SCIENCES, V8, P199, DOI 10.1016/0020-0255(75)90036-5 ZADEH LA, 1965, INFORM CONTROL, V8, P338, DOI 10.1016/S0019-9958(65)90241-X NR 31 TC 0 Z9 0 U1 3 U2 17 PU NATL TAIWAN OCEAN UNIV PI KEELUNG PA NO 2 PEI-NING RD, KEELUNG, 202, TAIWAN SN 1023-2796 J9 J MAR SCI TECH-TAIW JI J. Mar. Sci. Technol.-Taiwan PD AUG PY 2016 VL 24 IS 4 BP 771 EP 779 DI 10.6119/JMST-016-0311-1 PG 9 WC Engineering, Multidisciplinary; Oceanography SC Engineering; Oceanography GA DV3CR UT WOS:000382799100011 DA 2019-04-09 ER PT J AU Stratton, D Martino, D Pasquali, FM Lewis, K Hall, JF AF Stratton, Daniel Martino, Daniel Pasquali, Felipe M. Lewis, Kemper Hall, John F. TI A Design Framework for Optimizing the Mechanical Performance, Cost, and Environmental Impact of a Wind Turbine Tower SO JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME LA English DT Article DE multi-attribute decision making; design automation; utility theory; finite element analysis; wind turbine tower design; sustainable design ID OPTIMIZATION AB The tower represents a significant portion of the materials and cost of the small wind turbine system. Optimization techniques typically maximize the tower loading capability while reducing material use and cost. Still, tower design focuses mainly on structural integrity and durability. Moreover, tower motion that intensifies drivetrain and structural loads is only rarely considered. The environmental impact of the wind turbine must also be considered since wind energy promotes sustainability. Trade-offs between the structural performance, cost, and environmental impact are examined to guide the designer toward a sustainable alternative. Ultimately, an optimal design technique can be implemented and used to automate tower design. In this study, nine tower designs with different materials and geometries are analyzed using finite element analysis (FEA). The optimal tower design is selected using a multilevel-decision-making procedure. The analysis suggests that steel towers of minimal wall thickness are preferred. This study is a continuation of the previous work that optimized energy production and component life of small wind systems (Hall et al., 2015, "An Integrated Control and Design Framework for Optimizing Energy Capture and Component Life for a Wind Turbine Variable Ratio Gearbox," ASME J. Sol. Energy Eng., 137(2), p. 021022). The long-term goal is to develop a tool that performs optimization and automated design of small wind systems. In our future work, the tower and drivetrain designs will be merged and studied using higher fidelity models. C1 [Stratton, Daniel; Martino, Daniel; Pasquali, Felipe M.; Lewis, Kemper; Hall, John F.] Univ Buffalo State Univ New York, Dept Mech & Aerosp Engn, Buffalo, NY 14260 USA. RP Hall, JF (reprint author), Univ Buffalo State Univ New York, Dept Mech & Aerosp Engn, Buffalo, NY 14260 USA. EM dstrat9@gmail.com; dmartino@buffalo.edu; felipeme@buffalo.edu; kelewis@buffalo.edu; johnhall@buffalo.edu RI Hall, John/H-7040-2014; Lewis, Kemper/I-1828-2012 OI Hall, John/0000-0003-3861-1387; Lewis, Kemper/0000-0001-9592-9135 FU National Science Foundation (NSF) [IIP-1229861] FX The authors would like to acknowledge the National Science Foundation (NSF) (Grant No. IIP-1229861) for their support of this work. The authors also acknowledge Eyhab Abdalla for his efforts in the area of wind tower design. CR Al Satari P. E. M., 2008, AIP C P, V1020, P577 Alemam A., 2014, DETC201434584 ASME AlHamaydeh M, 2011, J FRANKLIN I, V348, P1470, DOI 10.1016/j.jfranklin.2010.04.013 [Anonymous], 2006, 614002 IEC Clifton-Smith MJ, 2010, WIND ENG, V34, P561, DOI 10.1260/0309-524X.34.5.561 Devanathan S, 2010, J MECH DESIGN, V132, DOI 10.1115/1.4001890 Dufo-Lopez R, 2011, APPL ENERG, V88, P4033, DOI 10.1016/j.apenergy.2011.04.019 Eddy D., 2014, DETC201434280 ASME Hall JF, 2015, J SOL ENERG-T ASME, V137, DOI 10.1115/1.4029812 IEA Wind, 2013, LONG TERM RES DEV NE ISO, 2006, 140402006 ISO ISO, 2000, 140422000 ISO *ISO, 2000, 140432000 ISO Kwon DK, 2012, J WIND ENG IND AEROD, V104, P109, DOI 10.1016/j.jweia.2012.03.030 Lavassas I, 2003, ENG STRUCT, V25, P1097, DOI 10.1016/S0141-0296(03)00059-2 Liu WY, 2013, ENG STRUCT, V56, P954, DOI 10.1016/j.engstruct.2013.06.008 Martinez E, 2009, RENEW ENERG, V34, P667, DOI 10.1016/j.renene.2008.05.020 Montgomery D. C, 1997, DESIGN ANAL EXPT Negm HM, 2000, COMPUT STRUCT, V74, P649, DOI 10.1016/S0045-7949(99)00079-6 Nicholson J. C., 2011, THESIS Noble J., 2004, KATABATIC POWER See TK, 2004, J MECH DESIGN, V126, P950, DOI 10.1115/1.1814389 Stratton D., DETC201435195 ASME Uys PE, 2007, ENG STRUCT, V29, P1337, DOI 10.1016/j.engstruct.2006.08.011 Yoshida S, 2006, WIND ENG, V30, P453, DOI 10.1260/030952406779994150 NR 25 TC 1 Z9 1 U1 4 U2 17 PU ASME PI NEW YORK PA TWO PARK AVE, NEW YORK, NY 10016-5990 USA SN 0199-6231 EI 1528-8986 J9 J SOL ENERG-T ASME JI J. Sol. Energy Eng. Trans.-ASME PD AUG PY 2016 VL 138 IS 4 AR 041008 DI 10.1115/1.4033500 PG 9 WC Energy & Fuels; Engineering, Mechanical SC Energy & Fuels; Engineering GA DT0VI UT WOS:000381200700009 DA 2019-04-09 ER PT J AU Marx, A Lein, B Brando, N AF Marx, Axel Lein, Brecht Brando, Nicolas TI The Protection of Labour Rights in Trade Agreements: The Case of the EU-Colombia Agreement SO JOURNAL OF WORLD TRADE LA English DT Article ID MARKET POWER EUROPE AB In response to the disappointing progress at the multilateral level, trading powers like the European Union (EU) have increasingly used their market access power as leverage to promote non-trade objectives with third countries. Through so-called 'Trade & Sustainable Development Chapters', the EU's new generation of regional and bilateral trade agreements include explicit provisions on labour rights promotion, Corporate Social Responsibility and environmental sustainability. While legal scholars have commented extensively on these provisions, little is known about their practical application. With regard to labour rights in particular, the International Labour Organization has noted the lack of empirical evidence on the effects of integrating labour rights provisions in trade agreements. Based on extensive desk research and a series of interviews in Brussels and Bogota, the present article aims to bridge this gap by providing insights into how the practical application of labour provisions and monitoring mechanisms plays out in a particular country context. Our findings identify significant shortcomings in both the design and application of the current sustainability chapters, affecting not only their effectiveness but also the credibility of the EU as a normative actor as a whole. C1 [Marx, Axel; Lein, Brecht; Brando, Nicolas] Univ Leuven, Leuven Ctr Global Governance Studies, Leuven, Belgium. RP Marx, A (reprint author), Univ Leuven, Leuven Ctr Global Governance Studies, Leuven, Belgium. EM axel.marx@ggs.kuleuven.be; brecht.lein@ggs.kuleuven.be; nicolas.brando@ggs.kuleuven.be OI Brando C., Nicolas/0000-0003-1238-2205 CR AFL-CIO, 2014, MAK COL LAB ACT PLAN [Anonymous], 2014, 103 INT LAB C MAY 20 Barona Betancourt R., 2010, CRITERIO JURIDICO GA, V2, P252 Bartels L., 2012, 242012 U CAMBR FAC L Bartels L, 2005, HUMAN RIGHTS CONDITI Berliner D., 2015, 2LABOR STANDARDS INT Brando N., 2015, ASSESSING IMPACT EU Campling L., 2015, INTL LAB REV Central Unitaria de Trabajadores de Colombia (CUT), 2011, INF CUT CUMPL CONCL Damro C, 2015, LEUVEN GLOB GOV, P19 Damro C, 2012, J EUR PUBLIC POLICY, V19, P682, DOI 10.1080/13501763.2011.646779 Escuela Nacional Sindical (ENS), 2014, AN INC PLAN ACC OB S European Union and Government of Colombia (EU-CO), 2012, TERMS REF DIAL HUM R European Union External Action Service (EEAS), 2015, EU ANN REP HUM RIGHT European Union External Action Service (EEAS), 2014, COUNC EUR UN P BRUSS Garay L. J., 1998, COLOMBIA ESTRUCTURAL, V1 Gerring J, 2007, CASE STUDY RESEARCH: PRINCIPLES AND PRACTICES, P1, DOI 10.2277/ 0521676568 Government Accountability Office (GAO), 2014, REP C REQ FREE TRAD Human Rights Council of the UN (HRC), 2013, AHRCWG616COL2 International Labour Organization (ILO), 2011, CONCL HIGH LEV TRIP International Labour Organization (ILO), 2013, STUD GROWTH EQ Jaramillo Jassir I. D., 2010, OPIN JURID, V9, P57 Justice for Colombia, 2015, AB COL Kucera D, 2002, INT LABOUR REV, V141, P31, DOI 10.1111/j.1564-913X.2002.tb00230.x KUCERA D, 2001, STAT J UN, V18, P175 Larik J, 2015, LEUVEN GLOB GOV, P43 Rodriguez LL, 2014, EUR LAW J, V20, P824, DOI 10.1111/eulj.12108 Marx A, 2015, LEUVEN GLOB GOV, P1, DOI 10.4337/9781784711467 Marx A, 2016, INT J HUM RIGHTS, V20, P365, DOI 10.1080/13642987.2015.1090432 Meunier S, 2006, J EUR PUBLIC POLICY, V13, P906, DOI 10.1080/13501760600838623 Ministerio de Tecnologias de la Informacion y las Comu-nicaciones (MinTIC), 2014, INF REND CUENT 2014 Ministerio del Trabajo (MINT), 2015, COM PERM CONC POL SA Ministerio del Trabajo (MINT), 2014, INF CUMPL PLAN ACC C Mosley L, 2011, LABOUR RIGHTS MULTIN Oidhaco, 2014, INF SIT DER HUM COL Republic of Colombia, 2012, 293 EUR UN Rettberg A., 2014, COLOMBIA INTERNACION, P129 US Department of Labor (USDL), 2011, COL LAB RIGHTS REP Velluti S, 2015, LEUVEN GLOB GOV, P42 Zwagemakers F, 2012, 12 IAI NR 40 TC 7 Z9 7 U1 0 U2 10 PU KLUWER LAW INT PI THE HAGUE PA CARNEGIEPLEIN 5D, PO BOX 85889, 2508 CN THE HAGUE, NETHERLANDS SN 1011-6702 EI 2210-2795 J9 J WORLD TRADE JI J. World Trade PD AUG PY 2016 VL 50 IS 4 BP 587 EP 610 PG 24 WC Economics; International Relations; Law SC Business & Economics; International Relations; Government & Law GA DU7XB UT WOS:000382426800002 DA 2019-04-09 ER PT J AU Fernandez, IC Manuel-Navarrete, D Torres-Salinas, R AF Fernandez, Ignacio C. Manuel-Navarrete, David Torres-Salinas, Robinson TI Breaking Resilient Patterns of Inequality in Santiago de Chile: Challenges to Navigate towards a More Sustainable City SO SUSTAINABILITY LA English DT Article DE inequalities; uneven development; segregation; resilience; transformability; sustainable development ID RESIDENTIAL SEGREGATION; GATED COMMUNITIES; LATIN-AMERICA; SCHOOL CHOICE; CITIES; TRANSFORMATION; SYSTEMS; POLICY; NEOLIBERALISM; ADAPTABILITY AB Resilience can have desirable and undesirable consequences. Thus, resilience should not be viewed as a normative desirable goal, but as a descriptor of complex systems dynamics. From this perspective, we apply resilience thinking concepts to assess the dynamics of inequality, spatial segregation, and sustainability in Chile's capital city of Santiago. Chile's economy boosted since democracy was restored in 1990, but continuity of neoliberal reforms and transformations of Pinochet's dictatorship (1973-1990) seem to have locked Chilean cities in resilient, albeit unsustainable, patterns of uneven development. Socio-economic data from Santiago shows highly resilient patterns of urban inequality and segregation from 1992 to 2009 despite democratic efforts, political agendas and discourses packed with calls for reducing poverty and inequality. We present a conceptual model based on the notion of stability landscapes to explore potential trade-offs between resilience and sustainable development. We mapped Santiago's spatio-temporal inequality trends and explored if these patterns support an inequality-resilience stability landscape. Analysis of temporal and spatial distribution of development assets across four human development dimensions (i.e., income, education, health, democracy) revealed potential socio-political and spatial feedbacks supporting the resilience of inequality and segregation in Santiago. We argue that urban sustainability may require breaking this resilience, a process where bottom-up stressors such as social movements could play a key role. C1 [Fernandez, Ignacio C.; Manuel-Navarrete, David] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA. [Torres-Salinas, Robinson] Univ Concepcion, Fac Environm Sci, Casilla 160-C, Concepcion 4070386, Chile. RP Fernandez, IC (reprint author), Arizona State Univ, Sch Sustainabil, Tempe, AZ 85281 USA. EM ignacio.fernandez@asu.edu; davidmn@asu.edu; torres.robinson@gmail.com OI Fernandez, Ignacio/0000-0002-3631-9932 FU United States National Science Foundation [1444755]; Chilean National Commission for Scientific and Technological Research Grant [FONDAP/15130015] FX This material is based upon work supported by the United States National Science Foundation under Grant Number 1444755, and Chilean National Commission for Scientific and Technological Research Grant FONDAP/15130015. We would also like to thanks Cristian Massad, from Ecomabi Foundation, for his help processing data from CASEN survey. CR Agostini C. A., 2010, ESTUDIOS PUBLICOS, V117, P219 Alkire S, 2002, WORLD DEV, V30, P181, DOI 10.1016/S0305-750X(01)00109-7 Alves F, 2015, INT J EDUC DEV, V41, P25, DOI 10.1016/j.ijedudev.2014.12.004 [Anonymous], 2014, HUM DEV REP 2014 Azocar G, 2007, LAND USE POLICY, V24, P199, DOI 10.1016/j.landusepol.2005.04.003 Bebbington A., 2008, I PATHWAYS EQUITY AD Borsdorf A, 2008, LAND USE POLICY, V25, P153, DOI 10.1016/j.landusepol.2007.04.001 Borsdorf A, 2007, CITIES, V24, P365, DOI 10.1016/j.cities.2007.04.002 Borsdorf A, 2016, HABITAT INT, V54, P18, DOI 10.1016/j.habitatint.2015.11.033 Brain I., 2007, TEMAS AGENDA PUBLICA, V2, P1 CEPAL, STAT IND Chelleri L, 2015, ENVIRON URBAN, V27, P181, DOI 10.1177/0956247814550780 Contreras D, 2008, QUALITY ED CHILE Contreras D., 2012, UNU WIDER WORKING PA Cote M, 2012, PROG HUM GEOG, V36, P475, DOI 10.1177/0309132511425708 Davidson DJ, 2010, SOC NATUR RESOUR, V23, P1135, DOI 10.1080/08941921003652940 Davoudi S, 2012, PLAN THEORY PRACT, V13, P299, DOI 10.1080/14649357.2012.677124 Derissen S, 2011, ECOL ECON, V70, P1121, DOI 10.1016/j.ecolecon.2011.01.003 Dockemdorff E, 2000, ENVIRON URBAN, V12, P171, DOI 10.1177/095624780001200112 Elacqua G, 2012, INT J EDUC DEV, V32, P444, DOI 10.1016/j.ijedudev.2011.08.003 Elmqvist T., 2014, SOLUTIONS, V5, P26, DOI DOI 10.1007/S11069-014-1116-5 Escobedo F., 2006, URBAN FOR URBAN GREE, V4, P105, DOI DOI 10.1016/J.UFUG.2005.12.002 Escobedo FJ, 2009, LANDSCAPE URBAN PLAN, V90, P102, DOI 10.1016/j.landurbplan.2008.10.021 Ferreiro S., 2012, SEN C NAC CHIL VALP Ffrench-Davis R., 2002, EC REFORMS CHILE DIC, P2 Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002 Folke C, 2010, ECOL SOC, V15 Goic A, 2015, REV MED CHILE, V143, P774, DOI 10.4067/S0034-98872015000600011 Grant U., 2010, SPATIAL INEQUALITY U Gunderson L. H., 2002, PANARCHY UNDERSTANDI Harvey D, 2008, SPACES NEOLIBERALIZA Holzl C, 2014, PLAN PRACT RES, V29, P21, DOI 10.1080/02697459.2013.872895 Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245 HOLST J, 2004, J PUBLIC HLTH, V12, P271 Jabareen Y, 2013, CITIES, V31, P220, DOI 10.1016/j.cities.2012.05.004 Johnston R, 2011, TIJDSCHR ECON SOC GE, V102, P1, DOI 10.1111/j.1467-9663.2009.00577.x Kay JJ, 1999, FUTURES, V31, P721, DOI 10.1016/S0016-3287(99)00029-4 Lebel L, 2006, ECOL SOC, V11 Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014 Livert Aquino F, 2014, SUSTAINABILITY-BASEL, V6, P5876, DOI 10.3390/su6095876 Manuel-Navarrete D, 2015, GLOBAL ENVIRON CHANG, V35, P558, DOI 10.1016/j.gloenvcha.2015.08.012 Manuel-Navarrete D, 2015, ECOL SOC, V20, DOI 10.5751/ES-07720-200326 Manuel-Navarrete D, 2011, GLOBAL ENVIRON CHANG, V21, P249, DOI 10.1016/j.gloenvcha.2010.09.009 Marans RW, 2015, HABITAT INT, V45, P47, DOI 10.1016/j.habitatint.2014.06.019 Marschke MJ, 2006, ECOL SOC, V11 Mayol Miranda Alberto, 2011, Polis, V10, P163, DOI 10.4067/S0718-65682011000300008 Meerow S, 2016, LANDSCAPE URBAN PLAN, V147, P38, DOI 10.1016/j.landurbplan.2015.11.011 MINVU; PNUD, 2014, POL NAC DES URB Murray WE, 2011, PROG DEV STUD, V11, P307, DOI 10.1177/146499341101100403 OECD, STATISTICS Olavarria-Gambi M., 2012, TEKHNE, V10, P39 Orellana A., 2015, INDICE CALIDAD VIDA Orellana Ossandón Arturo Maximiliano, 2013, Revista INVI, V28, P17, DOI 10.4067/S0718-83582013000100002 Pelling M, 2011, ECOL SOC, V16 Pena MA, 2008, INT J REMOTE SENS, V29, P4385, DOI 10.1080/01431160801908137 Peters P. A., 2009, THESIS Pickett STA, 2013, CITIES, V32, pS10, DOI 10.1016/j.cities.2013.02.008 Pickett STA, 2004, LANDSCAPE URBAN PLAN, V69, P369, DOI 10.1016/j.landurpbplan.2003.10.035 PNUD, 2015, COND PART EL CHIL Posner PW, 2012, INT J URBAN REGIONAL, V36, P49, DOI 10.1111/j.1468-2427.2011.01059.x Pressacco Carlos Fabián, 2012, Pap.polit., V17, P85 Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237 Reyes Päcke Sonia, 2010, EURE (Santiago), V36, P89, DOI 10.4067/S0250-71612010000300004 Rodriguez A., 2004, SANTIAGO GLOBALIZACI, P115 Rodriguez A, 2014, ENVIRON URBAN, V26, P359, DOI 10.1177/0956247814542723 Romero H, 2012, ECOL INDIC, V23, P76, DOI 10.1016/j.ecolind.2012.03.012 Ruiz-Tagle J, 2014, EURE, V40, P25, DOI 10.4067/S0250-71612014000100002 Sabatini F, 2009, URBAN SEGREGATION AND GOVERNANCE IN THE AMERICAS, P121 Sanchez RH, 2004, REV MED CHILE, V132, P453, DOI 10.4067/S0034-98872004000400007 Satterthwaite D, 2013, ENVIRON URBAN, V25, P381, DOI 10.1177/0956247813500902 SCARPACI JL, 1988, URBAN GEOGR, V9, P19, DOI 10.2747/0272-3638.9.1.19 Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000 Smith N, 2008, UNEVEN DEV NATURE CA Solimano A., 2009, UNU WIDER WORKING PA Solimano A., 2011, PROSPERITY EQUALITY Solimano A., 2015, RED ESTUDIOS PROFUND Solt F, 2008, AM J POLIT SCI, V52, P48, DOI 10.1111/j.1540-5907.2007.00298.x Stromquist NP, 2013, INT STUD SOCIOL EDUC, V23, P152, DOI 10.1080/09620214.2013.790662 Torche F, 2005, SOCIOL EDUC, V78, P316, DOI 10.1177/003804070507800403 UN Habitat, 2014, CONSTR MOR EQ CIT PU UNDP, 2002, HUM DEV REP 2002 DEP Unger JP, 2008, PLOS MED, V5, P542, DOI 10.1371/journal.pmed.0050079 United Nations, 2015, WORLD URB PROSP 2014 United Nations Development Programme ( UNDP), 1990, HUM DEV REP 1990 Urzua S., 2012, REV ESTUD PUBLICOS, V125, P1 Vale LJ, 2014, BUILD RES INF, V42, P191, DOI 10.1080/09613218.2014.850602 Valencia M. A., 2008, REV DISENO URBANO PA, V5, P1 Walker B, 2004, ECOL SOC, V9 Wu J., 2007, RESILIENCE ECOLOGY U, P211 NR 89 TC 8 Z9 8 U1 2 U2 40 PU MDPI PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD AUG PY 2016 VL 8 IS 8 AR 820 DI 10.3390/su8080820 PG 19 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DU8HC UT WOS:000382452900119 OA DOAJ Gold DA 2019-04-09 ER PT J AU Scholz, RW AF Scholz, Roland W. TI Sustainable Digital Environments: What Major Challenges Is Humankind Facing? SO SUSTAINABILITY LA English DT Article DE digital revolution; digital threats; rebound effects; genetically modified organisms (GMO); cell-based computers; cell-based computing; environmental epigenetics; loss of privacy; appropriation of nature ID WORLDS TECHNOLOGICAL CAPACITY; LONDON TAXI DRIVERS; QUANTUM COMPUTER; INTERPERSONAL RELATIONSHIPS; CULTURAL NEUROSCIENCE; SOCIAL ANXIETY; INTERNET USE; PLANTS TALK; BRAIN SIZE; PART II AB This paper identifies and discusses the benefits, threats, and vulnerabilities related to the digital revolution. It aims to motivate research and its funding regarding digital threats and vulnerabilities related, in particular, to anticipating unintended, undesirable rebound effects, tipping points, critically fast evolutionary change rates, trade-offs, etc. A brief analysis of the history of the mind and technology reveals slow technological development over tens of thousands of years (including the invention of a place-value digital number system). Then, a small series of groundbreaking ideas (e.g., binary logic, Shannon's symbolic analysis of relay and switching circuits, architectures of computing) enabled the industry-driven invention of programmable computing machines. Ultimately, the mastery of electron and semiconductor physics allowed for economical and seemingly unlimited storage capacity that made digital tools available to all domains of society. Based on the historical analysis, a coupled human-environment systems perspective (that includes a hierarchy assumption ranging from the human cell to the human species) enables the identification of several potential challenges to society and science. First, digital nano-engineering promotes genetic modifications (i.e., directed evolution), and synthetic biology enables a new level of the appropriation of nature. The understanding of cell-based biocomputers may call for new forms of logic. These and other challenges require thorough sustainability research in order to anticipate major changes on all levels of human systems. Second, the human individual is exposed to new forms of vulnerability. In particular, the potential epigenetic effects resulting from the excessive use of digital information of historically unknown speed, density, and contents and the loss of (the Western common-law right to) privacy resulting from big data (whose ownership is often unknown) should become subjects of research. Third, digital technologies are responsible for rapid changes in all social and economic structures. The paper suggests that thorough, discipline-based interdisciplinary research is needed in order to develop basic knowledge for creating and managing resilient relationships between human systems and their digital environments. C1 [Scholz, Roland W.] Danube Univ, Dept Knowledge Management & Commun, Fac Econ & Globalizat, A-3500 Krems, Austria. [Scholz, Roland W.] Univ Zurich, Dept Psychol, CH-8050 Zurich, Switzerland. [Scholz, Roland W.] Swiss Fed Inst Technol, Dept Environm Syst Sci, CH-8092 Zurich, Switzerland. RP Scholz, RW (reprint author), Danube Univ, Dept Knowledge Management & Commun, Fac Econ & Globalizat, A-3500 Krems, Austria.; Scholz, RW (reprint author), Univ Zurich, Dept Psychol, CH-8050 Zurich, Switzerland.; Scholz, RW (reprint author), Swiss Fed Inst Technol, Dept Environm Syst Sci, CH-8092 Zurich, Switzerland. EM roland.scholz@emeritus.ethz.ch RI Scholz, Roland/B-2076-2008 CR Achenbach J., SECR HARV M SCI ANN ADLEMAN LM, 1994, SCIENCE, V266, P1021, DOI 10.1126/science.7973651 Amichai-Hamburger Y, 2013, COMPUT HUM BEHAV, V29, P33, DOI 10.1016/j.chb.2012.05.025 Anderson J.R., 1983, ARCHITECTURE KNOWLED Auslander S, 2012, NATURE, V487, P123, DOI 10.1038/nature11149 Babbage C., 2011, BABBAGES CALCULATING Barnes R., FARMERS USE GENETICA Baumer S., 2013, SAGE HDB DIGITAL TEC, P71 Beal A., 2011, MAINE POLICY REV, V20, P172 Beloglazov A, 2012, FUTURE GENER COMP SY, V28, P755, DOI 10.1016/j.future.2011.04.017 Benenson Y, 2004, NATURE, V429, P423, DOI 10.1038/nature02551 Benenson Y, 2009, MOL BIOSYST, V5, P675, DOI 10.1039/b902484k Benner K., 2016, INT NEW YORK TI 0218, P1 BENNETT CH, 1982, INT J THEOR PHYS, V21, P905, DOI 10.1007/BF02084158 Biocca F., 1997, J COMPUT MEDIAT COMM, V3 Block JJ, 2008, AM J PSYCHIAT, V165, P306, DOI 10.1176/appi.ajp.2007.07101556 Boeke JD, 2016, SCIENCE, V353, P126, DOI 10.1126/science.aaf6850 Boole G., 1847, MATH ANAL LOGIC Boole G, 1854, INVESTIGATION LAWS T Boussingault Jean Baptiste, 1845, RURAL EC ITS RELATIO Braich RS, 2002, SCIENCE, V296, P499, DOI 10.1126/science.1069528 Brown B., 2013, SAGE HDB DIGITAL TEC Brundtland G, 1987, OUR COMMON FUTURE Bunge M., 1959, CAUSALITY MODERN SOC Camilleri K, 2006, STUD HIST PHILOS M P, V37, P298, DOI 10.1016/j.shpsb.2005.08.002 Castells M., 2007, INT J COMMUNICATION, V1, P238, DOI DOI 1932-8036/20070238 Chadwick A., 2009, J LAW POLICY INF SOC, V1, P9 Chapple ED, 1953, PRINCIPLES ANTHR Church GM, 2012, SCIENCE, V337, P1628, DOI 10.1126/science.1226355 Cohen I., 2000, TENDING ADAMS GARDEN Cohen IR, 2000, SEMIN IMMUNOL, V12, P215, DOI 10.1006/smim.2000.0234 Cole H, 2007, CYBERPSYCHOL BEHAV, V10, P575, DOI 10.1089/cpb.2007.9988 Courtland R., G MOORE MAN WHOSE NA Cowley S., 2016, INT NEW YORK TI 0218, P10 Credit Suisse, 2015, GLOB WEALTH DAT 2015 Crnkovic GD, 2011, INFORMATION, V2, P460, DOI 10.3390/info2030460 Dautenhahn K., 2005, P 2005 IEEE RSJ INT DEUTSCH D, 1985, P ROY SOC LOND A MAT, V400, P97, DOI 10.1098/rspa.1985.0070 Diamond J, 2005, COLLAPSE SOC CHOOSE Dicke M, 2003, TRENDS PLANT SCI, V8, P403, DOI 10.1016/S1360-1385(03)00183-3 Edlund L., 2007, 3214 IZA Elison L.M., 1987, MONT LAW REV, V48, P1 Esau M, 2014, ACS SYNTH BIOL, V3, P972, DOI 10.1021/sb5000466 ESCOBAR A, 1994, CURR ANTHROPOL, V35, P211, DOI 10.1086/204266 EU, 2015, EU DAT PROT REF BIG European Commision, 2014, COMM EXP GROUP TAX D European Data Protection Supervisor, 2015, M CHALL BIG DAT CALL Evans PD, 2005, SCIENCE, V309, P1717, DOI 10.1126/science.1113722 Fayyad U, 1996, AI MAG, V17, P37 FODOR JA, 1981, SCI AM, V244, P114, DOI 10.1038/scientificamerican0181-114 Forster M.M., 2000, POLICY MAKERS GUIDE FOUCAULT M, 1971, SOC SC INFORM, V10, P7, DOI 10.1177/053901847101000201 Francisco V, 2015, CRIT SOCIOL, V41, P173, DOI 10.1177/0896920513484602 Friday P.C., 2003, INTERUNIV CONSORT PO Gagliano M., 2012, PLOS ONE Gagliano M., 2014, AOB PLANTS Garmezy A., 2012, DUKE J CONST LAW PUB, V8, P197 Gee JP, 2011, LANGUAGE AND LEARNING IN THE DIGITAL AGE, P1 Gee JP, 2005, WHY VIDEO GAMES ARE Gibbs R., 2005, EMBODIMENT COGNITIVE Gibson W., 1984, NEUROMANCER Goldburg R. J., 2001, MARINE AQUACULTURE U Grant A, 2004, GENOME BIOL, V5, DOI 10.1186/gb-2004-5-5-107 Griffiths M, 2000, CYBERPSYCHOL BEHAV, V3, P537, DOI 10.1089/109493100420151 Griffiths M., 1997, ED CHILD PSYCHOL, V14, P25 Gurevitch J, 2004, TRENDS ECOL EVOL, V19, P470, DOI 10.1016/j.tree.2004.07.005 Hawks J, 2007, P NATL ACAD SCI USA, V104, P20753, DOI 10.1073/pnas.0707650104 Hedstrom M, 1997, COMPUT HUMANITIES, V31, P189, DOI 10.1023/A:1000676723815 Helbing D., 2015, THINKING AHEAD ESSAY, P177 Helbing Dirk, 2015, THINKING AHEAD ESSAY HENNEBERG M, 1988, HUM BIOL, V60, P395 Hilbert M, 2016, DEV POLICY REV, V34, P135, DOI 10.1111/dpr.12142 Hilbert M, 2012, INT J COMMUN-US, V6, P936 Hilbert M, 2011, SCIENCE, V332, P60, DOI 10.1126/science.1200970 Hodgman CE, 2012, METAB ENG, V14, P261, DOI 10.1016/j.ymben.2011.09.002 Hoffman S, 2016, HASTINGS CENT REP, V46, P6, DOI 10.1002/hast.529 Holm L, 1996, SCIENCE, V273, P595, DOI 10.1126/science.273.5275.595 Hou LF, 2012, INT J EPIDEMIOL, V41, P79, DOI 10.1093/ije/dyr154 Howard P. H, 2016, CONCENTRATION POWER Human Rights Council, 2011, 17 SESS AG IT 3 PROM Hyde L.W., 2015, CULT BRAIN, V3, P75, DOI DOI 10.1007/S40167-014-0024-6 Ifrah Georges, 2001, UNIVERSAL HIST COMPU Jenkins H, 2006, CONVERGENCE CULTURE Jirtle RL, 2007, NAT REV GENET, V8, P253, DOI 10.1038/nrg2045 Jobling M. A., 2004, HUMAN EVOLUTIONARY G Kamstra MJ, 2000, AM ECON REV, V90, P1005, DOI 10.1257/aer.90.4.1005 Kane BE, 1998, NATURE, V393, P133, DOI 10.1038/30156 Kaplan AM, 2010, BUS HORIZONS, V53, P59, DOI 10.1016/j.bushor.2009.09.003 Kaplan R., 1999, NOTHING IS NATURAL H Kennedy RS, 2010, APPL ERGON, V41, P494, DOI 10.1016/j.apergo.2009.11.006 Khalil AS, 2012, CELL, V150, P647, DOI 10.1016/j.cell.2012.05.045 Kim YY, 2005, PSYCHOPHYSIOLOGY, V42, P616, DOI 10.1111/j.1469-8986.2005.00349.x King F. H., 1911, FARMERS 40 CENTURIES Kitayama S, 2014, J EXP PSYCHOL GEN, V143, P62, DOI 10.1037/a0031696 Kitayama S, 2010, SOC COGN AFFECT NEUR, V5, P111, DOI 10.1093/scan/nsq052 La Viola J. J. Jr., 2000, SIGCHI Bulletin, V32, P47 Larose D., 2014, DISCOVERING KNOWLEDG Lavington, 2014, HIST COMPUTING 20 CE, P433 Laws D, 2004, INT J SUST DEV WORLD, V11, P247, DOI 10.1080/13504500409469829 Ledford H, 2013, NATURE, V494, P289, DOI 10.1038/494289a Lerdau M, 2002, SCIENCE, V298, P361 Ley D, 2014, CURR SEX HLTH REP, V6, P94, DOI [10.1007/s11930-014-0016-8, DOI 10.1007/S11930-014-0016-8] Liptak Adam, 2013, NY TIMES Lo SK, 2016, BEHAV INFORM TECHNOL, V35, P57, DOI 10.1080/0144929X.2015.1094826 Lo SK, 2005, CYBERPSYCHOL BEHAV, V8, P15, DOI 10.1089/cpb.2005.8.15 Lowry E, 2013, ECOL EVOL, V3, P182, DOI 10.1002/ece3.431 Maguire EA, 2006, HIPPOCAMPUS, V16, P1091, DOI 10.1002/hipo.20233 Mahoney M.S., 2011, HIST COMPUTING Mahoney MS, 2005, INTERDISCIPL SCI REV, V30, P119, DOI 10.1179/030801805X25927 Malafouris L, 2010, SOC COGN AFFECT NEUR, V5, P264, DOI 10.1093/scan/nsp057 Mandecki W, 1998, TRENDS BIOTECHNOL, V16, P200, DOI 10.1016/S0167-7799(98)01188-3 Mann R., ARGUMENT PREVIEW JUS Mannikko N., 2014, J HEALTH SCI, V4, P53 Matzinger P, 2007, NAT IMMUNOL, V8, P11, DOI 10.1038/ni0107-11 Matzinger P, 2008, DRUG TODAY, V44, P51 Maxemchuk NF, 2001, ACM T COMPUT SYST, V19, P384, DOI 10.1145/380749.380771 Metropolis N., 2014, HIST COMPUTING 20 CE Miah Andy, 2004, GENETICALLY MODIFIED Millward P., 2003, 1 MONDAY, V8 Mithen S., 2006, J R ANTHR I, V12, P45 Mithen S., 1996, PREHISTORY MIND SEAR Mithen S, 2008, CAMB ARCHAEOL J, V18, P415, DOI 10.1017/S0959774308000450 Monroe-Whitea T., 2016, AFR J SCI TECHNOL IN, V8 Montgomery SH, 2012, EVOLUTION, V66, P927, DOI 10.1111/j.1558-5646.2011.01487.x Moore G. E., 1965, ELECTRONICS, V38, P1, DOI DOI 10.1109/JPROC.1998.658762 Morozo E., 2012, NET DELUSION DARK SI Nayar P., 2010, NEW MEDIA CYBERCULTU, P1 Neustaedter C, 2015, ACM T COMPUT-HUM INT, V22, DOI 10.1145/2696869 O'Regan G., 2012, BRIEF HIST COMPUTING, P23 O'Regan G., 2012, BRIEF HIST COMPUTING Osgood R., 1974, 1973 ANN REPORT HAWA, P44 Oxfam, 2015, RICH 1 WILL OWN MOR Parker TH, 2016, ECOL LETT, V19, P726, DOI 10.1111/ele.12610 Pea R, 2012, DEV PSYCHOL, V48, P327, DOI 10.1037/a0027030 Pease R., TURN LIVING CELLS CO Peavey T.M., 2014, BERKELEY TECHNOL LAW, V29, P465 Peter J, 2005, CYBERPSYCHOL BEHAV, V8, P423, DOI 10.1089/cpb.2005.8.423 Piccinini G, 2010, PHILOS PHENOMEN RES, V81, P269, DOI 10.1111/j.1933-1592.2010.00356.x Pollack A., PATENT ENDS SEEDS US Quintana-Murci L, 1999, NAT GENET, V23, P437 Quist N, 2011, J CLIN ETHIC, V22, P191 Radkau J., 1996, Environment and History, V2, P63, DOI 10.3197/096734096779522482 Ragnedda M, 2013, ROUTL ADV SOCIOL, P1 Randell B., 1982, HIST DIGITAL COMPUTE Raussendorf R, 2001, PHYS REV LETT, V86, P5188, DOI 10.1103/PhysRevLett.86.5188 Rheingold H., 2003, SMART MOBS NEXT SOCI Rheingold Howard, 1991, VIRTUAL REALITY Richards Neil M., 2013, STANFORD LAW REV, V66 Roth G, 2005, TRENDS COGN SCI, V9, P250, DOI 10.1016/j.tics.2005.03.005 Sarich C., 10 CO CONTROLLING WO Sarpeshkar R., 2010, ULTRALOW POWER BIOEL Satterlee JS, 2015, METHODS MOL BIOL, V1238, P27, DOI 10.1007/978-1-4939-1804-1_2 Schadt EE, 2012, MOL SYST BIOL, V8, DOI 10.1038/msb.2012.47 Schmitter PC, 2015, J DEMOCR, V26, P32 Scholz R.W., 1987, COGNITIVE STRATEGIES Scholz R.W., 2016, DIGITAL THREAT UNPUB Scholz R. W., 2011, ENV LITERACY SCI SOC Scholz RW, 2012, J RISK RES, V15, P313, DOI 10.1080/13669877.2011.634522 Shannon C.E., 1938, Transactions of the American Institute of Electrical Engineers, V57, P713 Shapiro E., 2006, SCI AM INT ED, V294, P32 Shum SB, 2012, EUR PHYS J-SPEC TOP, V214, P109, DOI 10.1140/epjst/e2012-01690-3 Siuti P, 2014, NAT PROTOC, V9, P1292, DOI 10.1038/nprot.2014.089 Siuti P, 2013, NAT BIOTECHNOL, V31, P448, DOI 10.1038/nbt.2510 Smail L.M., 2007, DEEP HIST BRAIN Small J.S., 2013, ANALOGUE ALTERNATIVE Smillie G., 1999, ANALOGUE DIGITAL COM Soloveichik D, 2005, THEOR COMPUT SCI, V344, P279, DOI 10.1016/j.tcs.2005.07.027 Spada MM, 2014, ADDICT BEHAV, V39, P3, DOI 10.1016/j.addbeh.2013.09.007 Spencer H., 1855, PRINCIPLES PSYCHOL SPROULL L, 1986, MANAGE SCI, V32, P1492, DOI 10.1287/mnsc.32.11.1492 Stapleton G, 2013, PUBLIC HEALTH GENOM, V16, P135, DOI 10.1159/000350703 Starbuck W.H., 1989, INF TECHNOL MANAG ST, V11, P33 Steward J.V., 2001, INTERMEDIATE ELECTRO Stringer C, 2012, NATURE, V485, P33, DOI 10.1038/485033a Sun JX, 2012, NAT GENET, V44, P1161, DOI 10.1038/ng.2398 Takacs-Santa A., 2004, HUM ECOL REV, V11, P51 Takken W, 2003, ECOLOGICAL ASPECTS A Tallberg J, 2014, EUR J INT RELAT, V20, P118, DOI 10.1177/1354066111434519 Trewavas A, 2003, ANN BOT-LONDON, V92, P1, DOI 10.1093/aob/mcg101 Turing AM, 1937, P LOND MATH SOC, V42, P230 Turkle S., 2005, 2 SELF COMPUTERS HUM Turkle S, 2011, NEW SCI, V209, P28, DOI 10.1016/S0262-4079(11)60101-2 Ullman B., 2013, ANALOG COMPUTING United States Senate, 2012, ENV RISKS GEN ENG FI Vastag B., EXABYTES DOCUMENTING Verroust G., 2001, UNIVERSAL HIST COMPU Voelckel C, 2004, PLANT J, V38, P650, DOI 10.1111/j.1365-313X.2004.02077.x von Neumann J., 1945, 1 REPORT ED IN PRESS Warren S., 1890, HARVARD LAW REV, V4, P193, DOI DOI 10.2307/1321160 WATSON JD, 1953, NATURE, V171, P737, DOI 10.1038/171737a0 Webster DL., 2002, FALL ANCIENT MAYA SO Weimann G, 2015, TERRORISM CYBERSPACE WEIZENBAUM J, 1966, COMMUN ACM, V9, P36, DOI 10.1145/365153.365168 Weizenbaum J, 1976, COMPUTER POWER HUMAN Wessels B, 2013, ROUTL ADV SOCIOL, P17 Wexler B., 2006, BRAIN CULTURE NEUROB White House, 2014, BIG DAT SEIZ OPP PRE Woollett K, 2012, NEUROREPORT, V23, P885, DOI 10.1097/WNR.0b013e328359317e Wuing H.-L., 2008, 6000 JAHRE MATH KULT Xia F, 2012, INT J COMMUN SYST, V25, P1101, DOI 10.1002/dac.2417 Yan H.-S., 2011, J MECH DES Yar Majid, 2013, CYBERCRIME SOC Young CMY, 2012, PERS INDIV DIFFER, V52, P78, DOI 10.1016/j.paid.2011.09.001 Zhirnov VV, 2013, IEEE J ELECTRON DEVI, V1, P29, DOI 10.1109/JEDS.2013.2258631 ZUSE K, 1948, ARCH MATH, V1, P441 NR 205 TC 9 Z9 9 U1 5 U2 73 PU MDPI PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD AUG PY 2016 VL 8 IS 8 AR 726 DI 10.3390/su8080726 PG 31 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DU8HC UT WOS:000382452900028 OA DOAJ Gold DA 2019-04-09 ER PT J AU Barney, K AF Barney, Keith TI Sparking development or consuming the countryside? Lao charcoal commodity networks in the Mekong Region SO ASIA PACIFIC VIEWPOINT LA English DT Article DE agrarian transition; charcoal; forest governance; Lao PDR; smallholder agency ID TIMBER TRADE; DEFORESTATION; AFRICA; EAST AB One of the unexpected outcomes of increased regional integration in southern Laos has been a boom in household production and roadside sale of wood charcoal. This paper develops an ethnographically informed analysis of charcoal as a socially embedded market, providing insights into the sociopolitical relations of access, legal and extra-legal regulations, and the distribution of rents that characterise this trade. Contrary to some assumptions about charcoal as a necessarily exploitative commodity, this paper points to some of the advantageous income smoothing opportunities that charcoal presents for many rural Lao households and detail the complex ways in which charcoal production can relate to forest sustainability and degradation. The paper elaborates a perspective of entrepreneurial Lao charcoal communities, energetically utilising locally available natural resources, for direct cash income. Charcoal production networks also connect everyday household livelihoods in Laos to large-scale extractive industry, in ways that have been arguably underemphasised previously. At the same time, the charcoal trade highlights the structural limits to notions of smallholder agency and local participation in commodified market relations, within broader political-economic contexts decidedly shaped through uneven development, and accumulation through dispossession. C1 [Barney, Keith] Australian Natl Univ, Crawford Sch Publ Policy, Canberra, ACT 0200, Australia. RP Barney, K (reprint author), Australian Natl Univ, Crawford Sch Publ Policy, Canberra, ACT 0200, Australia. EM keith.barney@anu.edu.au OI Barney, Keith/0000-0001-5513-5066 FU Forest Trends FX This research was conducted in collaboration with Dr Lamphoune Xayvongsa, at the Faculty of Forestry Science, National University of Laos (NUoL), with funding through Forest Trends. Indefatigable field assistance was provided by Mr. Khamsing Keothoumma. The author thanks two anonymous reviewers, and the special issue editors, for valuable suggestions on earlier drafts. CR Al Jazeera, 2015, CHARC AL SHAB BLACK [Anonymous], 2013, VIENTIANE TIMES 0207 [Anonymous], 2016, VIENTIANE TIMES 0111 Arnold JEM, 2006, WORLD DEV, V34, P596, DOI 10.1016/j.worlddev.2005.08.008 ASIAN DEVELOPMENT BANK, 2010, SECT ASS PROGR EV EN Bailis R, 2015, NAT CLIM CHANGE, V5, P266, DOI [10.1038/NCLIMATE2491, 10.1038/nclimate2491] Baird IG, 2011, NEW PROPOS, V5, P10 Barney K., 2007, 1 YCAR Bernstein H., 2010, CLASS DYNAMICS AGRAR Cavanagh CJ, 2015, GEOFORUM, V60, P72, DOI 10.1016/j.geoforum.2015.01.011 Diana A, 2013, SINGAPORE J TROP GEO, V34, P25, DOI 10.1111/sjtg.12011 EU FLEGT Facility, 2014, VPA ANN PROD SCOP Fern, 2015, PLAYING FIR HUM MIS Fischer A. M., 2008, J INT ASS TIBETAN ST, V4, P1 Fullbrook D., 2010, 1 SWISS COOP MEK REG Gellert PK, 2015, CURR PERSPECT SOC TH, V34, P65, DOI 10.1108/S0278-120420150000034004 GERES, 2014, ICS MOV CATCH FIR GERES, 2015, CHARC FOR LIV NO CAR Glassman J, 2010, BOUNDING MEKONG ASIA Grace K., 2012, STUDY UNDERSTANDING Herail A., 2013, FEASIBILITY STUDY MA High H., 2014, FIELDS DESIRE POVERT Huijsmans R, 2014, GEOFORUM, V51, P294, DOI 10.1016/j.geoforum.2012.11.007 Kusakabe K., 2004, GENDER PLACE CULT, V11, P581 Meyfroidt P, 2009, P NATL ACAD SCI USA, V106, P16139, DOI 10.1073/pnas.0904942106 Mwampamba TH, 2013, ENERGY SUSTAIN DEV, V17, P75, DOI 10.1016/j.esd.2013.01.001 To PX, 2014, ANTHROPOL FORUM, V24, P154, DOI 10.1080/00664677.2014.893505 Putzel L., 2014, FORMALIZATION NATURA Radio Free Asia, 2015, CONV LAO TRUCKS TRAN Ribot JC, 1998, DEV CHANGE, V29, P307, DOI 10.1111/1467-7660.00080 Ribot JC, 2009, DEV CHANGE, V40, P105, DOI 10.1111/j.1467-7660.2009.01507.x Rigg J, 2005, LIVING TRANSITION LA Rigg J, 2016, J RURAL STUD, V43, P118, DOI 10.1016/j.jrurstud.2015.11.003 Russell A., 2015, FORESTS ENHANCE RESI Schonweger O, 2015, CRIT ASIAN STUD, V47, P94, DOI 10.1080/14672715.2015.997095 Schure J, 2013, ENERGY SUSTAIN DEV, V17, P95, DOI 10.1016/j.esd.2012.07.002 Sikor T., 2005, Journal of Agrarian Change, V5, P405, DOI 10.1111/j.1471-0366.2005.00106.x Singh S, 2014, ETHNOGRAPHY, V15, P135, DOI 10.1177/1466138112463805 Smirnov D., 2015, UNPUB Sonter LJ, 2015, NAT CLIM CHANGE, V5, P359, DOI 10.1038/nclimate2515 Suhardiman D, 2015, LAND USE POLICY, V49, P195, DOI 10.1016/j.landusepol.2015.08.014 Walker Andrew, 1999, LEGEND GOLDEN BOAT R Wanneng P., 2007, IMPROVING GOVERNANCE Warr P., 2015, RISING INEQUALITY HA NR 44 TC 1 Z9 1 U1 0 U2 11 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1360-7456 EI 1467-8373 J9 ASIA PAC VIEWP JI Asia Pac. Viewp. PD AUG PY 2016 VL 57 IS 2 SI SI BP 194 EP 206 DI 10.1111/apv.12123 PG 13 WC Area Studies; Geography SC Area Studies; Geography GA DS7HH UT WOS:000380953500005 DA 2019-04-09 ER PT J AU Brix-Asala, C Hahn, R Seuring, S AF Brix-Asala, Carolin Hahn, Ruediger Seuring, Stefan TI Reverse logistics and informal valorisation at the Base of the Pyramid: A case study on sustainability synergies and trade-offs SO EUROPEAN MANAGEMENT JOURNAL LA English DT Article DE Informal valorisation; Base of the pyramid; Reverse logistics; Trade-offs; Critical case ID SOLID-WASTE MANAGEMENT; PARTNERSHIPS; BUSINESS; WATER; BOTTOM; POOR AB Despite a growing body of research on business with and for the Base of the Pyramid (BoP), ecological aspects of such businesses have not been considered adequately in the literature. We take a holistic view on the social and environmental consequences of a specific case of a BoP business. Water sold in plastic sachets in Africa is a typical BoP product with potentially negative ecological impact caused by littering. Reverse logistics activities could mitigate these consequences. At the same time, such activities provide opportunities for poor people to make a living from collecting waste. This in-depth single case study sheds light on the opportunities and disadvantages of informal valorisation in reverse logistics activities from both social and environmental perspectives. The case offers insights into the potential and actual trade-offs in BoP activities in different pillars of sustainability, which are otherwise rarely discussed in academic literature. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Brix-Asala, Carolin; Seuring, Stefan] Univ Kassel, D-34109 Kassel, Germany. [Hahn, Ruediger] Univ Hohenheim, D-70593 Stuttgart, Germany. RP Hahn, R (reprint author), Univ Hohenheim, D-70593 Stuttgart, Germany. EM ruediger.hahn@uni-hohenheim.de RI Seuring, Stefan/G-6087-2015 OI Seuring, Stefan/0000-0003-4204-9948; Brix-Asala, Carolin/0000-0002-8681-1220; Hahn, Rudiger/0000-0002-2897-980X CR Ahmed SA, 2004, HABITAT INT, V28, P467, DOI 10.1016/S0197-3975(03)00044-4 Ahmed SA, 2006, HABITAT INT, V30, P781, DOI 10.1016/j.habitatint.2005.09.004 Anderson Jamie, 2007, Journal of Business Strategy, V28, P14, DOI 10.1108/02756660710732611 Anschutz J., 2004, ADDRESSING EXPLOITAT Bakker K, 2007, ANTIPODE, V39, P430, DOI 10.1111/j.1467-8330.2007.00534.x BIRKBECK C, 1978, WORLD DEV, V6, P1173, DOI 10.1016/0305-750X(78)90071-2 Bryman A., 2011, BUSINESS RES METHODS de Brito MP, 2004, REVERSE LOGISTICS: QUANTITATIVE MODELS FOR CLOSED-LOOP SUPPLY CHAINS, P3 Eisenhardt KM, 2007, ACAD MANAGE J, V50, P25, DOI 10.5465/AMJ.2007.24160888 Elkington J., 2002, CANNIBALS FORKS TRIP Gibbert M, 2010, ORGAN RES METHODS, V13, P710, DOI 10.1177/1094428109351319 Gold S, 2013, INT BUS REV, V22, P784, DOI 10.1016/j.ibusrev.2012.12.006 Guide VDR, 2009, OPER RES, V57, P10, DOI 10.1287/opre.1080.0628 Guide VDR, 2003, INTERFACES, V33, P3, DOI 10.1287/inte.33.6.3.25182 GUNSILIUS E, 2011, 5 CWG, V5 Hahn R, 2014, J BUS RES, V67, P1321, DOI 10.1016/j.jbusres.2013.09.002 Hahn R, 2012, BUS ETHICS, V21, P47, DOI 10.1111/j.1467-8608.2011.01640.x Hahn R, 2009, J BUS ETHICS, V84, P313, DOI 10.1007/s10551-008-9711-6 Hahn T, 2015, J BUS ETHICS, V127, P297, DOI 10.1007/s10551-014-2047-5 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Hall J, 2010, INT J PHYS DISTR LOG, V40, P124, DOI 10.1108/09600031011020368 Harriss-White B, 2010, WORLD DEV, V38, P170, DOI 10.1016/j.worlddev.2009.10.011 Hart S, 2011, NEXT GENERATION BUSI, P79 Hayami Y, 2006, J DEV STUD, V42, P41, DOI 10.1080/00220380500356662 Kandachar P., 2008, SUSTAINABILITY CHALL Kempster S, 2011, LEADERSHIP QUART, V22, P106, DOI 10.1016/j.leaqua.2010.12.010 King AM, 2006, SUSTAIN DEV, V14, P257, DOI 10.1002/sd.271 Kolk A, 2014, BUS SOC, V53, P338, DOI 10.1177/0007650312474928 Lincoln Y. S, 1985, NATURALISTIC INQUIRY Medina M, 2000, RESOUR CONSERV RECY, V31, P51, DOI 10.1016/S0921-3449(00)00071-9 Myers N, 2003, P NATL ACAD SCI USA, V100, P4963, DOI 10.1073/pnas.0438061100 Pagell M., 2007, Business Horizons, V50, P133, DOI 10.1016/j.bushor.2006.08.007 Pohlen T. L., 1992, INT J PHYS DISTRIB, V22, P35, DOI DOI 10.1108/09600039210022051 Porter Richard C., 2002, EC WASTE Prahalad C., 2002, HARVARD BUS REV, V80, P54 Prahalad C. K., 2002, STRATEGY BUSINESS, V26, P54, DOI DOI 10.19177/REEN.V1E220081-23 Prendergast C, 1999, J ECON LIT, V37, P7, DOI 10.1257/jel.37.1.7 Reiner G, 2015, INT J PROD ECON, V170, P413, DOI 10.1016/j.ijpe.2015.08.002 Riege A. M., 2003, QUALITATIVE MARKET R, V6, P75, DOI DOI 10.1108/13522750310470055 Rogers D. S., 1999, GOING BACKWARDS REVE Ross S, 2003, J CLEAN PROD, V11, P561, DOI 10.1016/S0959-6526(02)00089-6 Saunders M., 2012, RES METHODS BUSINESS Scheinberg A., 2010, SOLID WASTE MANAGEME Scheinberg A, 2012, 23 WIEGO Scheinberg A, 2011, VALUE ADDED MODES SU SCHEINBERG A, 2006, CWG WASH WORKSH 2006 Scheinberg A, 2011, HABITAT INT, V35, P188, DOI 10.1016/j.habitatint.2010.08.004 Seuring S, 2012, SUPPLY CHAIN MANAG, V17, P544, DOI 10.1108/13598541211258609 SICULAR DT, 1991, WORLD DEV, V19, P137, DOI 10.1016/0305-750X(91)90252-D Siggelkow N, 2007, ACAD MANAGE J, V50, P20 Simanis E., 2008, INNOVATIONS, V3, P57, DOI DOI 10.1162/ITGG.2008.3.1.57 Sodhi M. S., 2011, SOCIOECON PLANN SCI, V45, P146, DOI DOI 10.1016/J.SEPS.2011.04.001 Stoler J, 2012, J WATER SANIT HYG DE, V2, P223, DOI 10.2166/washdev.2012.104 Stoler J, 2012, TROP MED INT HEALTH, V17, P1506, DOI 10.1111/j.1365-3156.2012.03099.x STUTZ J, 2008, SUSTAINABILITY CHALL, P193 Timmermans S, 2012, SOCIOL THEOR, V30, P167, DOI 10.1177/0735275112457914 Van Maanen J, 2007, ACAD MANAGE REV, V32, P1145, DOI 10.5465/AMR.2007.26586080 Wilson DC, 2006, HABITAT INT, V30, P797, DOI 10.1016/j.habitatint.2005.09.005 Wilson DC, 2012, WASTE MANAGE RES, V30, P237, DOI 10.1177/0734242X12437569 Wilson DC, 2009, WASTE MANAGE, V29, P629, DOI 10.1016/j.wasman.2008.06.016 Yin R.K., 2009, CASE STUDY RES DESIG NR 61 TC 9 Z9 9 U1 3 U2 54 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0263-2373 EI 1873-5681 J9 EUR MANAG J JI Eur. Manag. J. PD AUG PY 2016 VL 34 IS 4 BP 414 EP 423 DI 10.1016/j.emj.2016.01.004 PG 10 WC Business; Management SC Business & Economics GA DS2IW UT WOS:000380594200010 DA 2019-04-09 ER PT J AU Chapman, AD Darby, SE Hong, HM Tompkins, EL Van, TPD AF Chapman, Alexander D. Darby, Stephen E. Hong, Hoang M. Tompkins, Emma L. Van, Tri P. D. TI Adaptation and development trade-offs: fluvial sediment deposition and the sustainability of rice-cropping in An Giang Province, Mekong Delta SO CLIMATIC CHANGE LA English DT Article DE Adaptation; Sediment; Mekong Delta; Rice; Trade-off ID CLIMATE-CHANGE; AGRICULTURAL SUSTAINABILITY; RIVER; ANTHROPOCENE; EFFICIENCY; VIETNAM; DAMS; ASIA AB Deltas around the globe are facing a multitude of intensifying environmental change and development-linked pressures. One key concern is the reduction in the quantity of suspended sediment reaching and building floodplains. Sediment deposition provides multiple services to deltaic social-ecological systems, in particular, countering the subsidence of the delta-body, and providing plentiful nutrients. Experiencing particularly rapid change is the Vietnamese Mekong Delta (VMD). In An Giang Province an increasing number of high dyke rings, which exclude the flood and facilitate triple rice-cropping, simultaneously prevent much of the sediment load from reaching the floodplain. This paper explores the trade-offs implicit in the decision to shift from (i) doublecropping (higher sediment deposition) to (ii) triple cropping (lower sediment deposition) by asking: what is the impact of the shift on VMD farmers? Is it sustainable? And what is the significance of the associated sediment exclusion? A novel survey of An Giang rice farmers was conducted, investigating key agricultural practices, and uniquely, the farmers' estimates of annual sediment deposition depth. The survey elicits some key changes under the adapted system (ii), particularly, unsustainable trajectories in the yield to fertiliser ratio which penalise land-poor farmers. Furthermore, the value (to farmers) of the sediment contribution to agricultural fertilisation which is lost due to triple-cropping is estimated at USD 15 (+/- 5) million annually. We argue that our growing understanding of the importance of sediment in the deltaic social-ecological system may be revealing an emergent risk; arising from conflicting long and short-term adaptation and agricultural development objectives. C1 [Chapman, Alexander D.; Darby, Stephen E.; Tompkins, Emma L.] Univ Southampton, Geog & Environm, Southampton SO17 1BJ, Hants, England. [Hong, Hoang M.] Can Tho Univ, Res Inst Climate Change, Can Tho, Vietnam. [Van, Tri P. D.] Can Tho Univ, Coll Environm & Nat Resources, Can Tho, Vietnam. RP Chapman, AD (reprint author), Univ Southampton, Geog & Environm, Southampton SO17 1BJ, Hants, England. EM adc506@gmail.com OI Darby, Stephen/0000-0001-8778-4394 FU University of Southampton's Geography Department; UK Natural Environment Research Council (NERC) [NE/JO21970/1]; Dudley Stamp Memorial Award; Gilchrist Educational Trust; Natural Environment Research Council [NE/J021970/1] FX The authors wish to thank the staff and students at Can Tho University for their support in the field, the University of Southampton's Geography Department for PhD funding, and the Dudley Stamp Memorial Award and Gilchrist Educational Trust for grant assistance. S.E.D's contribution to this paper was supported by award NE/JO21970/1 from the UK Natural Environment Research Council (NERC). CR Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004 Birkmann J, 2012, ENVIRON SCI ENG, P245, DOI 10.1007/978-94-007-3962-8_10 Birkmann J, 2011, NAT HAZARDS, V58, P811, DOI 10.1007/s11069-011-9806-8 Calvo-Cubero J, 2013, ECOL ENG, V61, P12, DOI 10.1016/j.ecoleng.2013.09.047 Church J. A., 2013, CLIMATE CHANGE 2013, P1137, DOI DOI 10.1017/CB09781107415324.026 Dawe D, 2000, FIELD CROP RES, V66, P175, DOI 10.1016/S0378-4290(00)00075-7 De Koeijer TJ, 2002, J ENVIRON MANAGE, V66, P9, DOI 10.1006/jema.2002.0578 Diep TT, 2013, VIETNAM AGR FOOD EC, V1, P16 Dobermann A, 2004, INCREASING PRODUCTIV Dudgeon D, 2011, J FISH BIOL, V79, P1487, DOI 10.1111/j.1095-8649.2011.03086.x Erban LE, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/8/084010 FARRELL MJ, 1957, J R STAT SOC SER A-G, V120, P253, DOI 10.2307/2343100 Fearnside PM, 2012, NAT CLIM CHANGE, V2, P382, DOI 10.1038/nclimate1540 Giesecke JA, 2013, J DEV STUD, V49, P1202, DOI 10.1080/00220388.2013.777705 GSO, 2014, GEN STAT OFF VIETN S Hoa NM, 2006, AGR ECOSYST ENVIRON, V116, P121, DOI 10.1016/j.agee.2006.03.020 Hood WG, 2004, ESTUARIES, V27, P273 Ibanez C, 1997, J COAST CONSERV, V3, P191, DOI DOI 10.1007/BF02905244 ICEM, 2010, MRC STRAT ENV ASS SE Kondolf GM, 2014, WATER RESOUR RES, V50, P5158, DOI 10.1002/2013WR014651 Kuenzer C, 2013, SUSTAIN SCI, V8, P565, DOI 10.1007/s11625-012-0195-z Lauri H, 2012, HYDROL EARTH SYST SC, V16, P4603, DOI 10.5194/hess-16-4603-2012 Manh NV, 2014, HYDROL EARTH SYST SC, V18, P3033, DOI 10.5194/hess-18-3033-2014 MARD, 2008, ISS ACT PLAN FRAM AD MDP, 2013, MEK DELT PLAN LONG T Meze-Hausken E, 2004, CLIM RES, V27, P19, DOI 10.3354/cr027019 Hung NN, 2014, HYDROL PROCESS, V28, P3145, DOI 10.1002/hyp.9855 Nixon SW, 2003, AMBIO, V32, P30, DOI 10.1639/0044-7447(2003)032[0030:RTNAAN]2.0.CO;2 OECD, 2003, OECD IND DEV MEAS US Oppenheimer M, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1039 Pham CH, 2011, DIKES FARMERS POLITI Pham T, 2004, INCREASING PRODUCTIV, P410 Renaud FG, 2012, ENVIRON SCI ENG, P1, DOI 10.1007/978-94-007-3962-8 Sakamoto T, 2009, LANDSCAPE URBAN PLAN, V92, P34, DOI 10.1016/j.landurbplan.2009.02.002 Seto KC, 2002, INT J REMOTE SENS, V23, P1985, DOI 10.1080/01431160110075532 Shrestha B, 2013, HYDROL EARTH SYST SC, V17, P1, DOI 10.5194/hess-17-1-2013 Smajgl A., 2015, NAT CLIM CHANGE, P1 Suckall N, 2014, APPL GEOGR, V46, P111, DOI 10.1016/j.apgeog.2013.11.005 Syvitski JPM, 2011, PHILOS T R SOC A, V369, P957, DOI 10.1098/rsta.2010.0329 Syvitski JPM, 2009, NAT GEOSCI, V2, P681, DOI 10.1038/NGEO629 Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014 Tscherning K, 2012, LAND USE POLICY, V29, P102, DOI 10.1016/j.landusepol.2011.05.009 Van PDT, 2012, HYDROL EARTH SYST SC, V16, P4637, DOI 10.5194/hess-16-4637-2012 Venterink HO, 2006, APPL VEG SCI, V9, P163 Vietnamese Government, 2011, NAT STRAT CLIM CHANG Vietnamese Government, 1996, DEC 99 TTG Witt C, 1999, FIELD CROP RES, V63, P113, DOI 10.1016/S0378-4290(99)00031-3 World Bank, 2014, OV COMM MARK Yabe M., 2011, J INT SOC SE ASIA AG, V17, P135 NR 49 TC 13 Z9 14 U1 11 U2 70 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0165-0009 EI 1573-1480 J9 CLIMATIC CHANGE JI Clim. Change PD AUG PY 2016 VL 137 IS 3-4 BP 593 EP 608 DI 10.1007/s10584-016-1684-3 PG 16 WC Environmental Sciences; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences GA DR7OK UT WOS:000380089400020 OA Green Published, Other Gold DA 2019-04-09 ER PT J AU Campagnolo, L Carraro, C Davide, M Eboli, F Lanzi, E Parrado, R AF Campagnolo, Lorenza Carraro, Carlo Davide, Marinella Eboli, Fabio Lanzi, Elisa Parrado, Ramiro TI Can climate policy enhance sustainability? SO CLIMATIC CHANGE LA English DT Article AB Implementing an effective climate policy is one of the main challenges for the future. Curbing greenhouse gas emissions can prevent future irreversible impacts of climate change. Climate policy is therefore crucial for present and future generations. Nonetheless, one may wonder whether future economic and social development could be harmed by climate policy. This paper addresses this question by examining recent developments in international climate policy and considering different levels of cooperation that may arise in light of the outcomes of the Conference of the Parties held in Doha. The paper analyses how various climate policy scenarios would enhance sustainability and whether there is a trade-off between climate policy and economic development and social cohesion. This is done by using a new comprehensive indicator, the FEEM Sustainability Index (FEEM SI), which aggregates several economic, social, and environmental indicators. The FEEM SI is built into a recursive-dynamic computable general equilibrium model of the world economy, thus offering the possibility of projecting all indicators into the future and of delivering a perspective assessment of sustainability under different future climate policy scenarios. We find that the environmental component of sustainability improves at the regional and world level thanks to the implementation of climate policies. Overall sustainability increases in all scenarios since the economic and social components are affected negatively yet marginally. This analysis does not include explicitly climate change damages and this may lead to underestimating the benefits of policy actions. If the USA, Canada, Japan and Russia did not contribute to mitigating emissions, sustainability in these countries would decrease and the overall effectiveness of climate policy in enhancing global sustainability would be offset. C1 [Campagnolo, Lorenza; Eboli, Fabio; Lanzi, Elisa; Parrado, Ramiro] FEEM, Venice, Italy. [Campagnolo, Lorenza; Eboli, Fabio; Parrado, Ramiro] Fdn CMCC Ctr Euromediterraneo Cambiamenti Climat, Venice, Italy. [Carraro, Carlo; Davide, Marinella] Fdn CMCC Ctr Euromediterraneo Cambiamenti Climat, FEEM, Venice, Italy. [Carraro, Carlo; Davide, Marinella] Ca Foscari Univ Venice, Venice, Italy. RP Campagnolo, L (reprint author), FEEM, Venice, Italy.; Campagnolo, L (reprint author), Fdn CMCC Ctr Euromediterraneo Cambiamenti Climat, Venice, Italy. EM lorenza.campagnolo@feem.it RI Carraro, Carlo/A-7071-2014 OI Carraro, Carlo/0000-0002-8403-2231; Parrado, Ramiro/0000-0002-0951-1013; Davide, Marinella/0000-0002-6259-1876 CR Boehringer C, 2004, 0414 ZEW Bosello F, 2014, 642014 FEEM Carraro C, 2011, FEEM SI METHODOLOGIC Carraro C., 2013, SUSTAINABILITY APPRA Clarke L, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P413 Commission on the Measurement of Economic Performance and Social Progress, 2009, REP COMM EC SOC PROG De Waegenaere A, 2001, J MATH ECON, V36, P45, DOI 10.1016/S0304-4068(01)00064-7 Dellink R, 2014, OECD EC DEP WORKING, V1135, DOI [10.1787/5jz2bxb8kmf3-en, DOI 10.1787/5JZ2BXB8KMF3-EN] Eboli F, 2010, ENVIRON DEV ECON, V15, P515, DOI 10.1017/S1355770X10000252 Field CT, 2014, GENDER AMER CULT, P1 Hsu A, 2016, 2016 ENV PERF IND IGES, 2012, 201201 IGES IMF (International Monetary Fund), 2010, WORLD EC OUTL 2010 International Energy Agency (IEA), 2010, WORLD ENERGY OUTLOOK Kates RW, 2005, ENVIRONMENT, V47, P8 Kriegler E, 2013, CLIMATE CHANGE EC, V4 MUROFUSHI T, 1994, FUZZY SET SYST, V64, P73, DOI 10.1016/0165-0114(94)90008-6 OECD, 2014, HOWS LIF 2015 MEAS W Organization for Economic Co-operation and Development (OECD), 2015, EC CONS CLIM CHANG Parrado R, 2014, ENERG ECON, V41, P76, DOI 10.1016/j.eneco.2013.10.016 Parris TM, 2003, ANNU REV ENV RESOUR, V28, P559, DOI 10.1146/annurev.energy.28.050302.105551 Pinar M, 2014, ECOL INDIC, V39, P189, DOI 10.1016/j.ecolind.2013.12.012 Prescott-Allen R, 2001, WELL BEING NATIONS Riahi K, 2015, TECHNOL FORECAST SOC, V90, P8, DOI 10.1016/j.techfore.2013.09.016 Singh RK, 2009, ECOL INDIC, V9, P189, DOI 10.1016/j.ecolind.2008.05.011 UN, 2015, TRANSF OUR WORLD 203 UNDP, 2015, HUM DEV REP 2015 UNFCCC, 2011, DEC ADOPT COP 17 CMP UNFCCC, 2011, COMP INF NAT APPR MI UNFCCC, 2008, KYOT PROT UNFCCC United Nations Framework Convention on Climate Change, 2011, COMP EC WID EM RED T *WORLD BANK, 2010, WORLD DEV IND POP TO World Commission on Environment and Development (WCED), 1987, OUR COMM FUT World Economic Forum, 2013, GLOB GEND GAP REP 20 NR 34 TC 3 Z9 3 U1 1 U2 16 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0165-0009 EI 1573-1480 J9 CLIMATIC CHANGE JI Clim. Change PD AUG PY 2016 VL 137 IS 3-4 BP 639 EP 653 DI 10.1007/s10584-016-1701-6 PG 15 WC Environmental Sciences; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences GA DR7OK UT WOS:000380089400023 DA 2019-04-09 ER PT J AU Martinet, V Pena-Torres, J De Lara, M Ramirez, H AF Martinet, Vincent Pena-Torres, Julio De Lara, Michel Ramirez C, Hector TI Risk and Sustainability: Assessing Fishery Management Strategies SO ENVIRONMENTAL & RESOURCE ECONOMICS LA English DT Article DE Sustainability; Risk; Fishery economics and management; Stochastic viability ID SET CATCH QUOTAS; VIABILITY APPROACH; CONSTANT EFFORT; LANDING FEES; EL-NINO; UNCERTAINTY; STOCK; MODELS; QUANTITIES; EFFICIENCY AB We develop a theoretical framework to assess the sustainability of fishery management strategies, when the bioeconomic dynamics are marked by uncertainty and several conflicting objectives have to be accounted for. Stochastic viability ranks management strategies according to their probability to sustain economic and ecological outcomes over time. The approach is extended to build stochastic sustainable production possibility frontiers representing the trade-offs between sustainability objectives at any risk level, given the current state of the fishery. This framework is applied to a Chilean fishery faced with El Nio uncertainty. We study the viability of effort and quota strategies when catch and biomass levels have to be sustained. We show that (1) for these sustainability objectives, whatever the level of the outcomes to be sustained, quota-based management results in a better viability probability than effort-based management, and (2) the fishery's historical quota levels were not sustainable given the stock levels in the early 2000s. C1 [Martinet, Vincent] INRA, Econ Publ UMR210, F-78850 Thiverval Grignon, France. [Pena-Torres, Julio] Pena & Sanchez Consultores Ltda, Peninsula 11296, Santiago, Chile. [De Lara, Michel] Univ Paris Est, Cermics, France. [Ramirez C, Hector] Univ Chile, Dept Ingn Matemat, Ctr Modelamiento Matemat, CNRS UMI 2807,FCFM, Santiago, Chile. RP Martinet, V (reprint author), INRA, Econ Publ UMR210, F-78850 Thiverval Grignon, France. EM vincent.martinet@grignon.inra.fr; julioalept@gmail.com; delara@cermics.enpc.fr; hramirez@dim.uchile.cl RI Ramirez, Hector/A-2577-2010 OI Martinet, Vincent/0000-0002-7135-8849 FU CNRS; Conicyt-Chile; INRIA; French Ministry of Foreign Affairs; Conicyt-Chile, under ACT [10336]; FONDECYT [1110888]; BASAL Project (Centro de Modelamiento Matematico, Universidad de Chile); project BIONATURE of CIRIC, INRIA-Chile FX We acknowledge financial support from the STIC-AmSud program (CNRS, Conicyt-Chile, INRIA and the French Ministry of Foreign Affairs) for the international research framework MIFIMA (Mathematics, Informatics and Fisheries Management). Hector Ramirez was supported by Conicyt-Chile, under ACT project 10336, FONDECYT 1110888 and BASAL Project (Centro de Modelamiento Matematico, Universidad de Chile), and by project BIONATURE of CIRIC, INRIA-Chile. We thank Claire Nicolas (ENSTA-ParisTech student), Pauline Dochez (Polytechnique-ParisTech student) and Pedro Gajardo (Universidad Federico Santa Maria, Valparaiso, Chile) for related works, as well as Pablo Koch (Centro de Modelamiento Matematico, Universidad de Chile and INRIA Chile). We are grateful to the participants in various seminars (Rencontres de l'Environnement 2009; CIREQ 2010; UCSB Bren School 2011) and conferences (Diversitas 2009; SURED 2010; WCERE 2010; IIFET 2010), and also Florian Diekert for comments. We also thank the Editor and two anonymous referees. CR [Anonymous], 2006, 300338810 BIP [Anonymous], 2013, 21 SUBS EC BARBER RT, 1983, SCIENCE, V222, P1203, DOI 10.1126/science.222.4629.1203 Begon M., 1986, POPULATION ECOLOGY U Butterworth D. S., 1997, GLOBAL TRENDS FISHER, V20, P83 Butterworth DS, 1997, CANADIAN SPECIAL PUB, V120, P83 Charles AT, 1998, FISH RES, V37, P37, DOI 10.1016/S0165-7836(98)00125-8 Clark C., 1990, MATH BIOECONOMICS CLARK CW, 1986, J ENVIRON ECON MANAG, V13, P235, DOI 10.1016/0095-0696(86)90024-0 Cochrane KL, 2000, FISH FISH, V1, P3, DOI 10.1046/j.1467-2979.2000.00003.x Costello CJ, 1998, AM J AGR ECON, V80, P765, DOI 10.2307/1244062 Da-Rocha JM, 2014, ENVIRON RESOUR ECON, V59, P257, DOI 10.1007/s10640-013-9727-y Danielsson A, 2002, J ENVIRON ECON MANAG, V43, P20, DOI 10.1006/jeem.2000.1168 De Lara M, 2009, MATH BIOSCI, V217, P118, DOI 10.1016/j.mbs.2008.11.003 De Lara M., 2008, SUSTAINABLE MANAGEME De Lara M, 2007, ICES J MAR SCI, V64, P761, DOI 10.1093/icesjms/fsm024 De Lara M, 2007, SYST CONTROL LETT, V56, P296, DOI 10.1016/j.sysconle.2006.10.007 De Oliveira JAA, 2004, ICES J MAR SCI, V61, P1432, DOI 10.1016/j.icesjms.2004.09.001 Deriso RB, 1999, BIOL RESOUCE MANAGEM Doyen L, 2012, ECOL ECON, V75, P32, DOI 10.1016/j.ecolecon.2012.01.005 Fletcher WJ, 2005, ICES J MAR SCI, V62, P1576, DOI 10.1016/j.icesjms.2005.06.005 Geromont HF, 1999, ICES J MAR SCI, V56, P952, DOI 10.1006/jmsc.1999.0536 Gomez-Lobo A, 2011, ENVIRON RESOUR ECON, V48, P651, DOI 10.1007/s10640-010-9419-9 Hannesson R, 2005, LAND ECON, V81, P518, DOI 10.3368/le.81.4.518 HANNESSON R, 1991, J ENVIRON ECON MANAG, V20, P71, DOI 10.1016/0095-0696(91)90024-D Hansen LG, 2008, LAND ECON, V84, P708, DOI 10.3368/le.84.4.708 Hilborn R, 2007, MAR POLICY, V31, P153, DOI 10.1016/j.marpol.2006.05.014 Jensen F, 2003, LAND ECON, V79, P415, DOI 10.2307/3147026 Kell LT, 2005, ICES J MAR SCI, V62, P750, DOI 10.1016/j.icesjms.2005.01.001 Martinet V., 2012, EC THEORY SUSTAINABL Martinet V, 2011, J ENVIRON ECON MANAG, V61, P183, DOI 10.1016/j.jeem.2010.10.002 McGough B, 2009, BE J ECON ANAL POLI, V9 Nostbakken L, 2006, J ENVIRON ECON MANAG, V51, P231, DOI 10.1016/j.jeem.2005.07.001 Nostbakken L, 2008, MARINE RESOURCE EC, V22, P63 Nostbakken L, 2007, INT SER OPER RES MAN, V99, P217, DOI 10.1007/978-0-387-71815-6_12 Pena Torres J, 2007, REV ANAL ECON, V22, P75 Pena Torres J, 2014, NINO FISHING L UNPUB Pikitch EK, 2004, SCIENCE, V305, P346, DOI 10.1126/science.1098222 QUIGGIN J, 1992, J ENVIRON ECON MANAG, V22, P199, DOI 10.1016/0095-0696(92)90014-N REED WJ, 1979, J ENVIRON ECON MANAG, V6, P350, DOI 10.1016/0095-0696(79)90014-7 Sainsbury KJ, 2000, ICES J MAR SCI, V57, P731, DOI 10.1006/jmsc.2000.0737 Sethi G, 2005, J ENVIRON ECON MANAG, V50, P300, DOI 10.1016/j.jeem.2004.11.005 Simon HA, 1955, Q J ECON, V69, P99, DOI 10.2307/1884852 Singh R, 2006, J ENVIRON ECON MANAG, V52, P582, DOI 10.1016/j.jeem.2006.02.006 Smith ADM, 2007, ICES J MAR SCI, V64, P633, DOI 10.1093/icesjms/fsm041 Solow R., 1974, REV ECON STUD, V41, P29, DOI DOI 10.2307/2296370 Stern N., 2006, EC CLIMATE CHANGE SUBPESCA, 2004, TECHNICAL REPORT Tahvonen O, 2009, J ENVIRON ECON MANAG, V58, P281, DOI 10.1016/j.jeem.2009.02.001 Weitzman ML, 2002, J ENVIRON ECON MANAG, V43, P325, DOI 10.1006/jeem.2000.1181 Yepes M., 2004, THESIS NR 51 TC 0 Z9 0 U1 0 U2 15 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 0924-6460 EI 1573-1502 J9 ENVIRON RESOUR ECON JI Environ. Resour. Econ. PD AUG PY 2016 VL 64 IS 4 BP 683 EP 707 DI 10.1007/s10640-015-9894-0 PG 25 WC Economics; Environmental Studies SC Business & Economics; Environmental Sciences & Ecology GA DQ9OT UT WOS:000379539900008 DA 2019-04-09 ER PT J AU Azmi, K Davis, R Hanich, Q Vrahnos, A AF Azmi, Kamal Davis, Ruth Hanich, Quentin Vrahnos, Adam TI Defining a disproportionate burden in transboundary fisheries: Lessons from international law SO MARINE POLICY LA English DT Article DE Transboundary fisheries; Proportionality; Disproportionate burden; Western and Central Pacific Fisheries Commission; Equity; Developing countries ID UN WATERCOURSES CONVENTION; COUNTRIES; EQUITY AB The international legal framework for fisheries governance requires that conservation and management measures for transboundary fish stocks do not place a disproportionate burden on developing States. Yet this framework does not define "disproportionate" nor does it make clear the criteria against which the balance of a conservation burden might be judged to be disproportionate. This gap in the legal framework exacerbates conflicts over transboundary fisheries resources, and undermines the ability of small island developing states, such as those in the Western and Central Pacific, to enjoy fully the benefits of the resources in their exclusive economic zones. It also constrains the ability of regional fisheries management organisations (RFMOs) to ensure the long term sustainability of stocks. This paper considers how the question of proportionality has been addressed in other areas of international law, including use of force, maritime boundary delimitation, climate change, international watercourses and trade. It finds that while approaches to proportionality are influenced by the context of the regime in which it is applied, they can nevertheless provide useful lessons for RFMOs and their Members in designing equitable conservation and management measures that do not place a disproportionate conservation burden on developing countries. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Azmi, Kamal; Davis, Ruth; Hanich, Quentin; Vrahnos, Adam] Univ Wollongong, Australian Natl Ctr Ocean Resources & Secur, Wollongong, NSW, Australia. RP Azmi, K (reprint author), Univ Wollongong, Australian Natl Ctr Ocean Resources & Secur, Wollongong, NSW, Australia. EM kamalyazmi@gmail.com; rdavis@uow.edu.au; hanich@uow.edu.au; a.vrahnos@gmail.com OI Azmi, Kamal/0000-0003-0789-4492; Hanich, Quentin/0000-0001-9402-6233 CR Andenas M., 2006, TEX INT LAW J, V42, P371 [Anonymous], 1995, INT LEGAL MAT, V34, P1542 [Anonymous], 2001, INT LEGAL MAT, V40, P278 [Anonymous], 2010, ICJ REPORTS, P14 [Anonymous], 1997, ICJ REPORTS [Anonymous], 1969, ICJ REPORTS, V8, P340 [Anonymous], 1979, INT LEGAL MAT, V18, P399 Bell JD, 2015, MAR POLICY, V51, P584, DOI 10.1016/j.marpol.2014.10.005 Boardman Anthony E., 2001, COST BENEFIT ANAL CO Boyle A., 1999, INT LAW SUSTAINABLE, P1 Campbell B., 2015, MARIT STUD Cinelli C, 2013, WATER INT, V38, P180, DOI 10.1080/02508060.2013.781893 COP 21, C PART 21 30 NOV 12 Cottier T., 2012, 201238 NCCR Davis R., 2015, SCI TECHNOLOGY NEW C, P124 Evans G, 2008, RESPONSIBILITY TO PROTECT: ENDING MASS ATROCITY CRIMES ONCE AND FOR ALL, P1 Franck TM, 2008, AM J INT LAW, V102, P715, DOI 10.2307/20456680 Grasso M, 2010, JUSTICE IN FUNDING ADAPTATION UNDER THE INTERNATIONAL CLIMATE CHANGE REGIME, P1, DOI 10.1007/978-90-481-3439-7 Handl G., 1992, COMMUNICATION Hanich Q., 2012, INTEREST INFLUENCE S Hanich Q, 2015, MAR POLICY, V51, P302, DOI 10.1016/j.marpol.2014.09.011 Hilf M, 2001, J INT ECON LAW, V4, P111, DOI 10.1093/jiel/4.1.111 International Commission on Intervention and State Sovereignty, 2001, RESP PROTECT Kaldunski M, 2014, OCEAN DEV INT LAW, V45, P123, DOI 10.1080/00908320.2014.898920 Lankford B, 2013, WATER INT, V38, P130, DOI 10.1080/02508060.2013.780687 Linderfalk U, 2013, CAMB INT LAW J, V2, P850, DOI 10.7574/cjicl.02.04.137 Lowe V., 1999, INT LAW SUSTAINABLE, P19 McCaffrey S., 2014, WATER POLICY, V16, P1198 McIntyre O, 2013, WATER INT, V38, P112, DOI 10.1080/02508060.2013.779199 Muller B, 2009, CLIM POLICY, V9, P593, DOI 10.3763/cpol.2008.0570 Rajamani L., 2006, DIFFERENTIAL TREATME Ranjan P, 2014, CAMB INT LAW J, V3, P853, DOI 10.7574/cjicl.03.03.227 Rothwell S., 2014, INT LAW CASES MAT AU Sands P., 2003, PRINCIPLES INT ENV L Shelton D., 2008, OXFORD HDB INT ENV L, P639 Soltau F., 2009, FAIRNESS INT CLIMATE Tanaka Y., 2001, INT J MAR COAST LAW, V16, P433 Tanaka Y, 2013, LEIDEN J INT LAW, V26, P909, DOI 10.1017/S0922156513000460 UN Framework Convention on Climate Change, 1992, INT LEG MAT, V31 UNFCCC Conference of the Parties, 2015, UNFCCC C PART C PA 2 UNFCCC Secretariat, 2015, FCCCCP20157 United Nations Convention on the Law of the Sea (LOSC), 1982, INT LEGAL MAT, V21, P1261 Western and Central Pacific Fisheries Commission, 2015, IMPL CMM 2013 06 DIS Western and Central Pacific Fisheries Commission, 2013, CMM 2013 06 CRIT CON World Commission on Environment and Development, 1987, OUR COMM FUT World Trade Organisation, 2005, WTDS58ABR World Trade Organisation, 2014, WTDS400ABR World Trade Organisation, 2000, WTDS161ABR World Trade Organization, 1996, WTDS2ABR World Trade Organization, 1998, WTDS58ABR NR 50 TC 1 Z9 1 U1 0 U2 8 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0308-597X EI 1872-9460 J9 MAR POLICY JI Mar. Pol. PD AUG PY 2016 VL 70 BP 164 EP 173 DI 10.1016/j.marpol.2016.05.007 PG 10 WC Environmental Studies; International Relations SC Environmental Sciences & Ecology; International Relations GA DQ7FE UT WOS:000379371500019 DA 2019-04-09 ER PT J AU Peng, SJ Zhang, WC Sun, CW AF Peng, Shuijun Zhang, Wencheng Sun, Chuanwang TI 'Environmental load displacement' from the North to the South: A consumption-based perspective with a focus on China SO ECOLOGICAL ECONOMICS LA English DT Article DE Air pollutant emissions; Environmental load displacement; Multi-region input-output model; Consumption-based emissions; North-South trade ID ECOLOGICALLY UNEQUAL EXCHANGE; INPUT-OUTPUT-ANALYSIS; INTERNATIONAL-TRADE; CO2 EMISSIONS; CARBON FOOTPRINT; KUZNETS CURVES; CLIMATE-CHANGE; SUPPLY CHAIN; RESPONSIBILITY; INDICATOR AB Quantifying environmental load displacement from developed countries (the North) to developing countries (the South) is of particular importance for understanding the environmental implications of consumption in the North and global sustainability. Based on a global input-output model, this paper estimates emissions transfers between the North and the South for eight types of air pollutants from a consumption perspective, with a focus on emissions transfers between the North and China. The results show that 14%-30% of air pollutant emissions in the South were caused by consumption in the North in 2007. There is a large 'pollution deficit' between the North and South, which significantly increased during the period 1995-2007, that favors the theory of ecologically unequal exchange. Although the emissions per capita of the North from production for most air pollutants decreased over this period, the emissions per capita from consumption increased or decreased more mildly. The decomposition of emissions transfers further shows that South-South trade in intermediates has played an increasingly important role in environmental load displacement from the North to the South. It is important to assess the sustainability of so-called 'weightless economies' in the North from a global perspective that takes environmental load displacement into account. (C) 2016 Elsevier B.V. All rights reserved. C1 [Peng, Shuijun] Xiamen Univ, Sch Econ, Dept Int Econ & Business, Xiamen 361005, Peoples R China. [Zhang, Wencheng] Nankai Univ, Nankai Inst Int Econ, Sch Econ, Tianjin 300071, Peoples R China. [Sun, Chuanwang] Xiamen Univ, Sch Econ, China Ctr Energy Econ Res, Xiamen 361005, Peoples R China. RP Zhang, WC (reprint author), Nankai Univ, Nankai Inst Int Econ, 94 Weijin Rd, Tianjin 300071, Peoples R China. EM shuijun_peng@xmu.edu.cn; wenchengzhang86@163.com FU National Social Science Foundation of China [13ZD167]; National Natural Science Foundation of China [71373218]; Ministry of Education Foundation of China [12JJD790027, 13JZD010] FX This research is supported by the Major Program of the National Social Science Foundation of China (grant 13&ZD167), the National Natural Science Foundation of China (grant 71373218), and the Major Program of the Ministry of Education Foundation of China (grants 12JJD790027 and 13JZD010). We would like to express our gratitude to the editors and two anonymous referees whose comments and suggestions have greatly improved the content of this paper. CR Andersson JO, 2001, ECOL ECON, V37, P113, DOI 10.1016/S0921-8009(00)00272-X Andrew R, 2009, ECON SYST RES, V21, P311, DOI 10.1080/09535310903541751 Antweiler W, 2001, AM ECON REV, V91, P877, DOI 10.1257/aer.91.4.877 Arto I, 2014, ENERG POLICY, V66, P517, DOI 10.1016/j.enpol.2013.11.046 Arto I, 2014, ENVIRON SCI TECHNOL, V48, P5388, DOI 10.1021/es5005347 Bagliani M, 2008, ECOL ECON, V65, P650, DOI 10.1016/j.ecolecon.2008.01.010 Csutora M, 2014, CLIM POLICY, V14, P599, DOI 10.1080/14693062.2014.905442 Davis SJ, 2011, P NATL ACAD SCI USA, V108, P18554, DOI 10.1073/pnas.1107409108 Davis SJ, 2010, P NATL ACAD SCI USA, V107, P5687, DOI 10.1073/pnas.0906974107 Dorninger C, 2015, ECOL ECON, V119, P414, DOI 10.1016/j.ecolecon.2015.08.009 Du HB, 2011, ENERG POLICY, V39, P5980, DOI 10.1016/j.enpol.2011.06.060 Ferng JJ, 2003, ECOL ECON, V46, P121, DOI 10.1016/S0921-8009(03)00104-6 Genty A., 2012, FINAL DATABASE ENV S Giljum S., 2004, J ENVIRON DEV, V13, P73, DOI DOI 10.1177/1070496503260974 Hart SL, 1997, HARVARD BUS REV, V75, P66 Hertwich EG, 2009, ENVIRON SCI TECHNOL, V43, P6414, DOI 10.1021/es803496a Hornborg A, 2014, ECOL ECON, V105, P11, DOI 10.1016/j.ecolecon.2014.05.015 Kagawa S, 2015, GLOBAL ENVIRON CHANG, V35, P486, DOI 10.1016/j.gloenvcha.2015.04.003 Kanemoto K, 2014, GLOBAL ENVIRON CHANG, V24, P52, DOI 10.1016/j.gloenvcha.2013.09.008 Kanemoto K, 2012, ENVIRON SCI TECHNOL, V46, P172, DOI 10.1021/es202239t Lenzen M., 2004, ECON SYST RES, V16, P391, DOI DOI 10.1080/0953531042000304272 Lenzen M, 2007, ECOL ECON, V61, P27, DOI 10.1016/j.ecolecon.2006.05.018 Lenzen M, 2013, ECON SYST RES, V25, P20, DOI 10.1080/09535314.2013.769938 Liu QL, 2015, ECOL ECON, V113, P39, DOI 10.1016/j.ecolecon.2015.02.026 Liu XB, 2010, ENERG POLICY, V38, P1510, DOI 10.1016/j.enpol.2009.11.034 Lovins H, 1995, THE FACTOR 4 Marques A, 2012, ECOL ECON, V84, P57, DOI 10.1016/j.ecolecon.2012.09.010 Moran D, 2014, ECON SYST RES, V26, P245, DOI 10.1080/09535314.2014.935298 Moran DD, 2013, ECOL ECON, V89, P177, DOI 10.1016/j.ecolecon.2013.02.013 Munoz P, 2010, ECOL ECON, V69, P2003, DOI 10.1016/j.ecolecon.2010.05.017 Muradian R, 2002, ECOL ECON, V41, P51, DOI 10.1016/S0921-8009(01)00281-6 Muradian R, 2001, ECOL ECON, V36, P281, DOI 10.1016/S0921-8009(00)00229-9 Pan J, 2008, OXFORD REV ECON POL, V24, P354, DOI 10.1093/oxrep/grn016 Peters G. P, 2006, 42006 INDECOL NORW U Peters GP, 2008, ECOL ECON, V65, P13, DOI 10.1016/j.ecolecon.2007.10.014 Peters GP, 2008, ENVIRON SCI TECHNOL, V42, P1401, DOI 10.1021/es072023k Peters GP, 2011, ECON SYST RES, V23, P131, DOI 10.1080/09535314.2011.563234 Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Proops JLR, 1999, ECOL ECON, V28, P75, DOI 10.1016/S0921-8009(98)00030-5 Quah D., 1997, BANK ENGLAND Q B, V37, P49 Rice James, 2007, INT J COMP SOCIOL, V48, P43, DOI DOI 10.1177/0020715207072159 Rodrigues J, 2006, ECOL ECON, V59, P256, DOI 10.1016/j.ecolecon.2005.10.002 Rothman DS, 1998, ECOL ECON, V25, P177, DOI 10.1016/S0921-8009(97)00179-1 Steinberger JK, 2012, NAT CLIM CHANGE, V2, P81, DOI [10.1038/nclimate1371, 10.1038/NCLIMATE1371] Tan H, 2013, ENERG POLICY, V61, P1212, DOI 10.1016/j.enpol.2013.06.048 Timmer MP, 2015, REV INT ECON, V23, P575, DOI 10.1111/roie.12178 Tukker A, 2013, ECON SYST RES, V25, P50, DOI 10.1080/09535314.2012.761952 Tukker A, 2013, ECON SYST RES, V25, P1, DOI 10.1080/09535314.2012.761179 Voigt S, 2014, ENERG ECON, V41, P47, DOI 10.1016/j.eneco.2013.10.015 Wackernagel M, 1997, ECOL ECON, V20, P3, DOI 10.1016/S0921-8009(96)00077-8 Weber CL, 2008, ENERG POLICY, V36, P3572, DOI 10.1016/j.enpol.2008.06.009 Wiebe KS, 2012, ECON SYST RES, V24, P113, DOI 10.1080/09535314.2011.643293 Wiedmann T, 2007, ECOL ECON, V61, P15, DOI 10.1016/j.ecolecon.2006.12.003 Wiedmann T, 2010, ECON SYST RES, V22, P19, DOI 10.1080/09535311003612591 Xu Y, 2014, ECOL ECON, V101, P10, DOI 10.1016/j.ecolecon.2014.02.015 Zhang YG, 2015, ENERG POLICY, V86, P142, DOI 10.1016/j.enpol.2015.07.002 Zhang YG, 2013, ENERG ECON, V40, P967, DOI 10.1016/j.eneco.2013.05.025 NR 57 TC 7 Z9 9 U1 4 U2 29 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-8009 EI 1873-6106 J9 ECOL ECON JI Ecol. Econ. PD AUG PY 2016 VL 128 BP 147 EP 158 DI 10.1016/j.ecolecon.2016.04.020 PG 12 WC Ecology; Economics; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology; Business & Economics GA DP7HL UT WOS:000378669700016 DA 2019-04-09 ER PT J AU Ghilardi, MF Sola, S AF Ghilardi, Matteo F. Sola, Sergio TI Investment scaling up and the role of government SO APPLIED ECONOMICS LA English DT Article DE Public investment; government inefficiencies; debt sustainability; fiscal policy; infrastructure ID DUTCH-DISEASE; PUBLIC-INVESTMENT; ECONOMIC-GROWTH; PANEL-DATA; COUNTRIES; MODEL; PRODUCTIVITY; AID AB This article studies the fiscal and welfare implications of a scaling up of public investment when the government is subject to inefficiencies on the spending and on the tax collection side. In our simulations, the scaling up of public investments results in higher long-run output and consumption levels but requires a fiscal stabilization package in order to preserve fiscal sustainability. The effects on consumers' welfare after the fiscal adjustment are nontrivial. Our welfare analysis shows that consumers' welfare is increased when the government smooths the fiscal adjustment via higher borrowing and not through an increase in taxation. Moreover, the comparison between several stabilization packages via tax adjustment shows that higher welfare is achieved when the government relies mostly on taxation of capital as this allows higher levels of consumption. Lower fiscal costs that do not undermine fiscal sustainability can however be achieved if the government manages to reduce inefficiency in tax collection. Finally, we consider a change in the trade regime that causes a decline in revenues. We find that the higher fiscal burden required to preserve fiscal sustainability would completely wipe out the welfare gain of higher public investments. C1 [Ghilardi, Matteo F.; Sola, Sergio] Int Monetary Fund, Washington, DC 20431 USA. RP Ghilardi, MF (reprint author), Int Monetary Fund, Washington, DC 20431 USA. EM mghilardi@imf.org CR Adam CS, 2006, WORLD BANK ECON REV, V20, P261, DOI 10.1093/wber/lhj011 Agenor R., 2010, J ECON DYN CONTROL, V34, P932, DOI [10.1016/j.jedc.2010.01.009, DOI 10.1016/J.JEDC.2010.01.009] Aigner D., 1977, J ECONOMETRICS, V6, P21, DOI DOI 10.1016/0304-4076(77)90052-5 Andrew B., 2013, IMF EC REV PALGRAVE, V61, P92, DOI [10.1057/imfer.2013.1, DOI 10.1057/IMFER.2013.1] Andrle M., 2012, IMF WORKING PAPERS, V12 Battese G. E., 1992, J PROD ANAL, V3, P153, DOI DOI 10.1007/BF00158774 Battese G. E., 1995, EMPIR ECON, V20, P325, DOI DOI 10.1007/BF01205442 BATTESE GE, 1988, J ECONOMETRICS, V38, P387, DOI 10.1016/0304-4076(88)90053-X Berg A, 2013, IMF ECON REV, V61, P92, DOI 10.1057/imfer.2013.1 Calderon C, 2015, J APPL ECONOMET, V30, P177, DOI 10.1002/jae.2373 Chatterjee S, 2007, J DEV ECON, V84, P507, DOI 10.1016/j.jdeveco.2006.03.001 Eduardo C., 2011, J COMP ECON, V39, P65, DOI [10.1016/j.jce.2010.10.001, DOI 10.1016/J.JCE.2010.10.001] Greene W, 2005, J ECONOMETRICS, V126, P269, DOI 10.1016/j.jeconom.2004.05.003 Greene WH, 2003, J PROD ANAL, V19, P179, DOI 10.1023/A:1022853416499 GREENE WH, 1980, J ECONOMETRICS, V13, P101, DOI 10.1016/0304-4076(80)90045-7 Gregoire R. -G., 2012, SIMPLIFIER AMELIORER Greiner A, 2005, FORCES EC GROWTH TIM Greiner A, 2007, JPN ECON REV, V58, P345, DOI 10.1111/j.1468-5876.2007.00394.x Gupta S, 2014, WORLD DEV, V57, P164, DOI 10.1016/j.worlddev.2013.11.012 International Monetary Fund, 2012, MACR POL FRAM RES RI KRUGMAN P, 1987, J DEV ECON, V37, P41, DOI DOI 10.1016/0304-3878(87)90005-8 Marianne B., 1993, AM EC REV AM EC ASS, V83, P315 MATSUYAMA K, 1992, J ECON THEORY, V58, P317, DOI 10.1016/0022-0531(92)90057-O MEEUSEN W, 1977, INT ECON REV, V18, P435, DOI 10.2307/2525757 Mengistae T, 2004, IMF STAFF PAPERS, V51, P327 Pessino C, 2010, HACIENDA PUBLICA ESP, P65 Pritchett L, 2000, J ECON GROWTH, V5, P361, DOI 10.1023/A:1026551519329 Schmidt P., 1984, J BUS ECON STAT, V2, P367, DOI DOI 10.2307/1391278 STEVENSON RE, 1980, J ECONOMETRICS, V13, P57, DOI 10.1016/0304-4076(80)90042-1 Torvik R, 2001, EUR ECON REV, V45, P285, DOI 10.1016/S0014-2921(99)00071-9 TURNOVSKY SJ, 1999, METHODS MACROECONOMI NR 31 TC 1 Z9 1 U1 0 U2 7 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND SN 0003-6846 EI 1466-4283 J9 APPL ECON JI Appl. Econ. PD AUG PY 2016 VL 48 IS 38 BP 3605 EP 3625 DI 10.1080/00036846.2016.1142657 PG 21 WC Economics SC Business & Economics GA DO4RV UT WOS:000377771700002 DA 2019-04-09 ER PT J AU Hori, K Matsui, T Hasuike, T Fukui, K Machimura, T AF Hori, Keiko Matsui, Takanori Hasuike, Takashi Fukui, Ken-ichi Machimura, Takashi TI Development and application of the renewable energy regional optimization utility tool for environmental sustainability: REROUTES SO RENEWABLE ENERGY LA English DT Article DE Renewable energy mix; Optimization model; Local energy system; Environmental impact; Decision-making support ID SOLAR-ENERGY; IMPACTS; GENERATION AB To expand the use of renewable energy, it is necessary to optimize energy production at a local level through an appropriate combination of different renewable energy resources. Additionally, the environmental impacts from the use of renewable resources must be considered from different perspectives. Thus, this study aims to develop a decision tool that evaluates and optimizes the renewable energy mix at a regional scale with regard to various environmental impacts. This tool was developed by creating a municipal energy database that includes five renewable energies (solar, wind, small- and medium-scale hydro, geothermal and biomass energy) and six evaluation indicators (proportion of developed renewable energy, economic balance, installed wind power, decrease in CO2 emissions, circulation rate of biomass resource, and impacted ecosystem area). Specifying different constraints in the model allowed investigation of the optimal renewable energy combination in a study area for two different scenarios, with the results highlighting the trade-offs between the scenarios. We also optimized the combination of different renewable energies for every municipality across Japan, while incorporating the natural conditions and varying demand structure. In conclusion, the tool developed in this study could support decision-making regarding the development of renewable energy resources. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Hori, Keiko] Osaka Univ, Div Sustainable Energy & Environm Engn, Sch Engn, Yamadaoka 2-1, Suita, Osaka 5650871, Japan. [Matsui, Takanori; Machimura, Takashi] Osaka Univ, Div Sustainable Energy & Environm Engn, Grad Sch Engn, Yamadaoka 2-1, Suita, Osaka 5650871, Japan. [Hasuike, Takashi] Waseda Univ, Dept Ind & Management Syst Engn, Fac Sci & Engn, Shinjuku Ku, 3-4-1 Okubo, Tokyo 1698555, Japan. [Fukui, Ken-ichi] Osaka Univ, Inst Sci & Ind Res, Mihogaoka 8-1, Ibaraki, Osaka 5670047, Japan. RP Matsui, T (reprint author), Osaka Univ, M3 Bldg Sustainable Energy & Environm Engn,Rm 405, Suita, Osaka 5650871, Japan. EM keiko.hori@ge.see.eng.osaka-u.ac.jp; matsui@see.eng.osaka-u.ac.jp FU "Cross-Boundary Innovation Program of Osaka University"; "Nippon Life Insurance Foundation" FX This study was supported by "The Cross-Boundary Innovation Program of Osaka University" and "Nippon Life Insurance Foundation". CR Abbasi SA, 2000, APPL ENERG, V65, P121, DOI 10.1016/S0306-2619(99)00077-X Advisory Committee on Energy and Natural Resources, 2011, MAJ DISC POINTS EST Agency for Natural Resources and Energy, 2013, 2013 ANN EN REP Agency for Natural Resources and Energy, 2014, OFF HOM FEED IN TAR [Anonymous], REN JAP STAT REP 201 [Anonymous], 2009, ENV MOD CIT ACT PLAN [Anonymous], 2014, OV ENV MOD CIT [Anonymous], 2006, NISH TOWN NEW EN VIS [Anonymous], 2013, ASAHI NEWS PAPER DIG [Anonymous], 2013, MUN MERG BOOK Arild H., 2010, A6891 SINTEF EN TR Bazmi AA, 2011, RENEW SUST ENERG REV, V15, P3480, DOI 10.1016/j.rser.2011.05.003 Central Research Institute of Electric Power Industry, 2010, EV LIF CYCL CO2 EM I Dag M., 2006, ENERGY STUD REV, V14, P1 Department of Development and Planning, ENERGYPLAN ADV EN SY Department of Energy & Climate Change of United Kingdom, 2012, REN HEAT INC RHI Drout L., 2009, ETEM AN ENERGY TECHN Electric Power Civil Engineering Association, 2013, HYDR POW PLANT DAT EMD International A/S, ENERGYPRO SOFTW PROD Energy and Environment Council, 2012, INN STRAT EN ENV ITS ESRI Japan Corporation, 2011, MUN BOUND DAT JAP Geir W., 2013, IEEE C P Geospatial Information Authority of Japan (GSI), 2015, LIST MAIN MOUNT ALT Henning D., MODEST ENERGY SYSTEM Henning D., 2006, 10 INT S DISTR HEAT, P3 Hernandez RR, 2014, RENEW SUST ENERG REV, V29, P766, DOI 10.1016/j.rser.2013.08.041 Hokkaido Bureau of Economy Trade and Industry, 2011, REP 2010 RES BUS VIT IAEA, 2009, IAEA TOOLS METH EN S Kainou K., 2010, ENERGY CONSUMPTION S Kassam A., HOMER SOFTWARE TRAIN Kiviluoma J, 2006, DOCUMENTATION DATABA Kobe City Environmental Preservation Committee, 2011, KOB CIT EX PLAN PREV KOHONEN T, 1990, P IEEE, V78, P1464, DOI 10.1109/5.58325 Krewitt W, 2003, RENEW ENERG, V28, P1645, DOI 10.1016/S0960-1481(03)00008-9 Kurasaka H., 2012, SUST ZON 2012 MacQueen J., 1967, P 5 BERK S MATH STAT, P281, DOI DOI 10.1234/12345678 Messner S., 1995, WP9569 INT I APPL SY Ministry of the Environment, 2011, MAT STUD GROUP NAT E Ministry of the Environment, 2011, REF MAT M EV METH GR Ministry of the Environment, 2011, STUD POT INTR REN EN Ministry of the Environment, 2012, LIST EM FACT IND CO New Energy and Industrial Technology Development Organization, 2010, BIOM EN INTR GUID New Energy and Industrial Technology Development Organization, 2011, EST AB AV AMOUNT BIO NREL (National Renewable Energy Laboratory), 2011, REG EN DEPL SYST REE Procurement Price Calculation Committee, 2014, APPR PROC PRIC CALC Reedman L.J., 2012, 127113 AEMO EP CSIRO Sliz-Szkliniarz B, 2013, LAND USE POLICY, V35, P257, DOI 10.1016/j.landusepol.2013.05.018 Solar System Development Association (SSDA), 2013, 2013 SOL SYST DAT BO Statistics Bureau, 2011, 2009 EC CENS BUS FRA Statistics Bureau, 2011, POP CENS Stoms DM, 2013, RENEW ENERG, V57, P289, DOI 10.1016/j.renene.2013.01.055 Strategic Policy Committee, 2013, OP STRAT EN PLAN Subcommittee for Population Decline Problem, 2014, STOP DECL BIRTH RAT Takeuchi K., 2011, SUSTAINABILITY SCI M Tanikawa R., 2007, JPN WIND ENERGY S, V29, P167 The Federation of Electric Power Companies of Japan, 2013, TRENDS AV INT CAP WI TOMOE-TECHNO Corporation, 2013, COMP COST EACH FUELS Watanabe T., 2011, STUDY WOODY BIOMASS NR 58 TC 7 Z9 7 U1 3 U2 31 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0960-1481 J9 RENEW ENERG JI Renew. Energy PD AUG PY 2016 VL 93 BP 548 EP 561 DI 10.1016/j.renene.2016.02.051 PG 14 WC GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY; Energy & Fuels SC Science & Technology - Other Topics; Energy & Fuels GA DK0QJ UT WOS:000374617000046 DA 2019-04-09 ER PT J AU Brockhaus, S Petersen, M Kersten, W AF Brockhaus, Sebastian Petersen, Moritz Kersten, Wolfgang TI A crossroads for bioplastics: exploring product developers' challenges to move beyond petroleum-based plastics SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Sustainability; Bioplastics; Theory of planned behavior; Consumer goods; Product development; Behavioral research ID BIO-BASED PLASTICS; SUSTAINABLE PRODUCT; PLANNED BEHAVIOR; MANAGEMENT; INNOVATION; DESIGN; OPPORTUNITIES; PERSPECTIVE; COMPANIES; STATE AB Bioplastics play an increasingly important role for consumer products. These new materials might increase product sustainability but they are currently confined to niche markets. While research has gained important insight into the technical challenges, few studies to date explore the behavioral aspects for product developers as they move to employ bioplastics in their development efforts. This manuscript reports the findings of a grounded inductive study based on interview data with 32 product developers in the consumer goods industry. The Theory of Planned Behavior is employed to guide the research and provide a theoretical background to derive implications. The study finds that behavioral challenges impede the increased use of bioplastics. Product developers experience a lack of perceived behavioral control and struggle with doubts about the environmental benefits and incurring trade-offs of bioplastics with respect to the Triple Bottom Line. While product developers are intrinsically motivated to make more use of bioplastics, they often refrain from bringing products to the mass market due to uncertainties of customer receptiveness and fears of greenwashing allegations. Implications for industry and research are detailed. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Brockhaus, Sebastian] Weber State Univ, John B Goddard Sch Business & Econ, 1337 Edvalson St,Dept 3802, Ogden, UT 84408 USA. [Petersen, Moritz; Kersten, Wolfgang] Hamburg Univ Technol, Inst Business Logist & Gen Management, Schwatzenberg Campus 4, D-21073 Hamburg, Germany. RP Petersen, M (reprint author), Hamburg Univ Technol, Inst Business Logist & Gen Management, Schwatzenberg Campus 4, D-21073 Hamburg, Germany. EM sbrockhaus@weber.edu; m.petersen@tuhh.de; logu@tuhh.de CR AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T Ajzen I., 2005, ATTITUDES PERSONALIT Ajzen I., 1985, ACTION CONTROL COGNI, P11, DOI DOI 10.1007/978-3-642-69746-3_2 Alblas AA, 2014, INT J OPER PROD MAN, V34, P513, DOI 10.1108/IJOPM-10-2012-0461 Alvarez-Chavez CR, 2012, J CLEAN PROD, V23, P47, DOI 10.1016/j.jclepro.2011.10.003 [Anonymous], 2015, SUST IMP NEW INS CON Armstrong C. M., 2011, FASHION PRACT, V3, P29, DOI DOI 10.2752/175693811X12925927157018 Boons F, 2013, J CLEAN PROD, V45, P9, DOI 10.1016/j.jclepro.2012.07.007 Breckenridge J., 2009, GROUNDED THEORY REV, V8, P113 Buchert T, 2014, PROC CIRP, V15, P413, DOI 10.1016/j.procir.2014.06.025 Byggeth S, 2007, J CLEAN PROD, V15, P1, DOI 10.1016/j.jclepro.2006.02.007 Charmaz K., 2006, CONSTRUCTING GROUNDE Clancy G, 2013, J CLEAN PROD, V39, P372, DOI 10.1016/j.jclepro.2012.07.027 Cooper T., 1999, J SUSTAINABLE PRODUC, P7 Corbin J., 2008, BASICS QUALITATIVE R Cordano M, 2000, ACAD MANAGE J, V43, P627, DOI 10.2307/1556358 Dangelico RM, 2013, J PROD INNOVAT MANAG, V30, P642, DOI 10.1111/jpim.12013 de Silva Niranjali, 2009, International Journal of Sustainable Manufacturing, V1, P251 Detzel A., 2012, UNTERSUCHUNG UMWELTW Deutz P, 2010, SUSTAIN DEV, V18, P229, DOI 10.1002/sd.469 Diegel O., 2010, J SUSTAIN DEV, V3, P68, DOI DOI 10.5539/JSD.V3N3P68 EISENHARDT KM, 1991, ACAD MANAGE REV, V16, P620, DOI 10.2307/258921 EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557 Ekins P, 2010, INT EC EC POLICY, V7, P267, DOI DOI 10.1007/S10368-010-0162-Z ELKINGTON J, 1998, ENV QUAL MANAG, P37, DOI DOI 10.1002/TQEM.3310080106 European Bioplastics, 2013, BIOPL FACTS FIG Femers S., 2012, FINANZTANGO, P17, DOI DOI 10.1007/978-3-531-19296-3_3 Ferdous AS, 2010, J INT CONSUM MARK, V22, P313, DOI 10.1080/08961530.2010.505883 Gerstlberger W, 2014, BUS STRATEG ENVIRON, V23, P131, DOI 10.1002/bse.1777 Gioia D.A., 2012, ORGAN RES METHODS, V16, P15, DOI DOI 10.1177/1094428112452151 Glaser B. G., 1967, DISCOVERY GROUNDED T Gmelin H, 2014, INT J PROD ECON, V154, P166, DOI 10.1016/j.ijpe.2014.04.023 Gmelin H, 2014, J CLEAN PROD, V69, P1, DOI 10.1016/j.jclepro.2014.01.053 Goulding C., 2002, GROUNDED THEORY PRAC Hallstedt SI, 2013, J CLEAN PROD, V51, P277, DOI 10.1016/j.jclepro.2013.01.043 Hayward R., 2013, UN GLOBAL COMPACT RE, V5, P1, DOI DOI 10.5848/UNGC.5720.2014.0015 Hynds EJ, 2014, RES TECHNOL MANAGE, V57, P50, DOI 10.5437/08956308X5701143 Iles A, 2013, J CLEAN PROD, V45, P38, DOI 10.1016/j.jclepro.2012.05.008 Inoue M, 2012, ADV ENG INFORM, V26, P782, DOI 10.1016/j.aei.2012.07.002 Kainz U., 2013, 1 INT C RES EFF INT, P391 Karana E, 2012, J CLEAN PROD, V37, P316, DOI 10.1016/j.jclepro.2012.07.034 Kauertz B., 2011, OKOBILANZ DANONE ACT Kern C., 2010, INNOVATIVE GESTALTUN, P3 Kliger D, 2010, J BEHAV FINANC, V11, P50, DOI 10.1080/15427561003591116 KPMG, 2012, CONS MARK TRENDS HAN Kurka S., 2012, BIOMASSE BASIERTE PR Llerena P., 2008, ENTREPRENEURSHIP INN, P130, DOI DOI 10.9774/GLEAF.978-1-907643-47-7_8 Locke KD, 2001, GROUNDED THEORY MANA Luchs MG, 2010, J MARKETING, V74, P18, DOI 10.1509/jmkg.74.5.18 Luthe T, 2013, J IND ECOL, V17, P605, DOI 10.1111/jiec.12000 Maxwell D, 2003, J CLEAN PROD, V11, P883, DOI 10.1016/S0959-6526(02)00164-6 Mayyas AT, 2013, J CLEAN PROD, V40, P177, DOI 10.1016/j.jclepro.2012.08.039 Metta H, 2013, IEEE T ENG MANAGE, V60, P438, DOI 10.1109/TEM.2012.2206392 Morone P, 2015, J CLEAN PROD, V90, P43, DOI 10.1016/j.jclepro.2014.11.069 Moser AK, 2015, J CONSUM MARK, V32, P167, DOI 10.1108/JCM-10-2014-1179 Ny H, 2013, CIRP DESIGN 2012 SUS, P427, DOI DOI 10.1007/978-1-4471-4507-3_41 Ny H, 2008, J IND ECOL, V12, P600, DOI 10.1111/j.1530-9290.2008.00037.x OConnor M. C., 2011, WASTE AGE, V42, P44 Papong S, 2014, J CLEAN PROD, V65, P539, DOI 10.1016/j.jclepro.2013.09.030 Pettersen IN, 2015, INT J SUSTAIN ENG, V8, P206, DOI 10.1080/19397038.2014.1001468 Pratt MG, 2008, ORGAN RES METHODS, V11, P481, DOI 10.1177/1094428107303349 Prothero A, 2011, J PUBLIC POLICY MARK, V30, P31, DOI 10.1509/jppm.30.1.31 Resch J., 2011, DTSCH UMWELTHILFE ST Rosato D., 2012, POP PLAST PACKAG, V57, P40 Rossi V, 2015, J CLEAN PROD, V86, P132, DOI 10.1016/j.jclepro.2014.08.049 SHERMAN SJ, 1985, PERS SOC PSYCHOL B, V11, P118, DOI 10.1177/0146167285111011 Song Jim, 2011, Food and beverage packaging technology, P295 Suddaby R, 2006, ACAD MANAGE J, V49, P633, DOI 10.5465/AMJ.2006.22083020 Thompson AW, 2011, FUNCTIONAL THINKING, P117, DOI DOI 10.1007/978-3-642-19689-8_22 Tingstrom J, 2006, J CLEAN PROD, V14, P1377, DOI 10.1016/j.jclepro.2005.11.027 Troynikov O., 2009, SPORTS TECHNOLOGY, V2, P67, DOI DOI 10.1002/JST.117 Tsiropoulos I, 2015, J CLEAN PROD, V90, P114, DOI 10.1016/j.jclepro.2014.11.071 van Birgelen M, 2011, J AIR TRANSP MANAG, V17, P125, DOI 10.1016/j.jairtraman.2010.12.013 Verhulst E., 2014, J CORP CITIZEN, V55, P73, DOI [10.9774/GLEAF.4700.2014.se.00008, DOI 10.9774/GLEAF.4700.2014.SE.00008] Verhulst E, 2012, INT J INNOV SUSTAIN, V6, P146, DOI 10.1504/IJISD.2012.046943 Winter M, 2013, INT J PHYS DISTR LOG, V43, P18, DOI 10.1108/09600031311293237 Yates MR, 2013, RESOUR CONSERV RECY, V78, P54, DOI 10.1016/j.resconrec.2013.06.010 NR 77 TC 14 Z9 15 U1 2 U2 41 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD JUL 20 PY 2016 VL 127 BP 84 EP 95 DI 10.1016/j.jclepro.2016.04.003 PG 12 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DN8EE UT WOS:000377311200007 DA 2019-04-09 ER PT J AU Natusch, DJD Lyons, JA Mumpuni Riyanto, A Shine, R AF Natusch, Daniel J. D. Lyons, Jessica A. Mumpuni Riyanto, Awal Shine, Richard TI Jungle Giants: Assessing Sustainable Harvesting in a Difficult-to-Survey Species (Python reticulatus) SO PLOS ONE LA English DT Article ID STATISTICAL POWER ANALYSIS; INVASIVE BURMESE PYTHONS; INTERNATIONAL-TRADE; MORELIA-SPILOTA; CONSERVATION; SNAKE; SIZE; CONSEQUENCES; INDICATORS; AUSTRALIA AB Sustainability of wildlife harvests is critical but difficult to assess. Evaluations of sustainability typically combine modelling with the measurement of underlying abundances. For many taxa harvested in developing countries, however, abundances are near-impossible to survey and a lack of detailed ecological information impedes the reliability of models. In such cases, repeated surveys of the attributes of harvested individuals may provide more robust information on sustainability. If the numbers, sizes and other demographic attributes of animals taken for the commercial trade do not change over biologically significant time intervals (decades), there is a prima facie case that the harvest is indeed sustainable. Here, we report the results of examinations of > 4,200 reticulated pythons (Python reticulatus) taken for the commercial leather industry in northern and southern Sumatra, Indonesia. The numbers, mean body sizes, clutch sizes, sizes at maturity and proportion of giant specimens have not decreased between our first surveys (1995) and repeat surveys (2015). Thus, despite assumptions to the contrary, the harvest appears to be sustainable. We use our data to inform the design of future monitoring programs for this species. Our study underpins the need for robust science to inform wildlife trade policy and decision-making, and urges wildlife managers to assess sustainability of difficult-to-survey terrestrial wildlife by drawing inferences directly from the harvest itself. C1 [Natusch, Daniel J. D.; Shine, Richard] Univ Sydney, Sch Life & Environm Sci, Sydney, NSW, Australia. [Lyons, Jessica A.] Resource Evaluat & Dev, Bamaga, Qld, Australia. [Mumpuni; Riyanto, Awal] Indonesian Inst Sci, Museum Zool Bogoriense, Biol Res Ctr, Bogor, Indonesia. RP Natusch, DJD (reprint author), Univ Sydney, Sch Life & Environm Sci, Sydney, NSW, Australia. EM d_natusch_14@hotmail.com FU Python Conservation Partnership FX This study was carried out with funding from the Python Conservation Partnership: http://www.iucn.org/?uNewsID=14068. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. CR Abensperg-Traun M, 2011, CITES CBNRM P INT S Ashley D, 2013, TARCEABILITY SYSTEMS Balmford A, 2006, CONSERV BIOL, V20, P692, DOI 10.1111/j.1523-1739.2006.00434.x Caughley G, 1994, WILDLIFE ECOLOGY MAN Cohen J., 1988, STAT POWER ANAL BEHA Cooney R., 2004, IUCN POLICY GLOBAL C, V2 Dorcas ME, 2012, P NATL ACAD SCI USA, V109, P2418, DOI 10.1073/pnas.1115226109 Faul F, 2007, BEHAV RES METHODS, V39, P175, DOI 10.3758/BF03193146 Fearn S, 2001, WILDLIFE RES, V28, P573, DOI 10.1071/WR00106 Fitzgerald LA, 2000, WILDLIFE SOC B, V28, P235 FITZGERALD LA, 1993, J HERPETOL, V27, P70, DOI 10.2307/1564908 GERRODETTE T, 1987, ECOLOGY, V68, P1364, DOI 10.2307/1939220 Groombridge B, 1991, PYTHONS S E ASIA REV Gunarso P., 2013, REPORTS SCI PANEL 2 Harvey RG, 2016, J ENVIRON PLANN MAN, V59, P789, DOI 10.1080/09640568.2015.1040489 Hunter M. L., 2009, FUNDAMENTALS CONSERV Ingram DJ, 2015, ECOL SOC, V20, DOI 10.5751/ES-07823-200340 Jenkins M, 1994, INT TRADE REPTILE SK Kasterine A, 2012, TRADE S E ASIAN PYTH Lyons JA, 2011, BIOL CONSERV, V144, P3073, DOI 10.1016/j.biocon.2011.10.002 Madsen T, 1999, ECOLOGY, V80, P989, DOI 10.2307/177032 Margono BA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/3/034010 Natusch DJD, 2015, DEV CITES NONDETRIME PETERMAN RM, 1990, CAN J FISH AQUAT SCI, V47, P2, DOI 10.1139/f90-001 PHKA, 2015, KUOT PENG TUMB AL PE Reed RN, 2002, CONSERV BIOL, V16, P451, DOI 10.1046/j.1523-1739.2002.02283.x Reed RN, 2011, WILDLIFE RES, V38, P114, DOI 10.1071/WR10202 Saputra G, 1998, MERTENSIELLA, V9, P23 Shin YJ, 2005, ICES J MAR SCI, V62, P384, DOI 10.1016/j.icesjms.2005.01.004 SHINE R, 1990, HERPETOLOGICA, V46, P283 Shine R, 1998, J ZOOL, V244, P405, DOI 10.1111/j.1469-7998.1998.tb00045.x Shine R, 1999, BIOL CONSERV, V87, P349, DOI 10.1016/S0006-3207(98)00068-8 Shine R, 1998, FUNCT ECOL, V12, P248, DOI 10.1046/j.1365-2435.1998.00179.x Siregar J., 2012, UPAYA PELESTARIAN PE SLIP DJ, 1988, AUST WILDLIFE RES, V15, P515 Smith MJ, 2011, BIOL CONSERV, V144, P82, DOI 10.1016/j.biocon.2010.10.018 Stahlschmidt ZR, 2012, FUNCT ECOL, V26, P812, DOI 10.1111/j.1365-2435.2012.02003.x Swiss Federal Veterinary Office, 2013, AN HUM KILL METH REP TRIPPEL EA, 1995, BIOSCIENCE, V45, P759, DOI 10.2307/1312628 Waller Tomas, 2007, P340 Webb JK, 2002, ORYX, V36, P170, DOI 10.1017/S0030605302000248 Weinbaum KZ, 2013, ECOL LETT, V16, P99, DOI 10.1111/ele.12008 World Bank, 2015, WORLD DEV IND Zhou ZH, 2004, CONSERV BIOL, V18, P1386, DOI 10.1111/j.1523-1739.2004.00251.x NR 44 TC 6 Z9 6 U1 3 U2 17 PU PUBLIC LIBRARY SCIENCE PI SAN FRANCISCO PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA SN 1932-6203 J9 PLOS ONE JI PLoS One PD JUL 8 PY 2016 VL 11 IS 7 AR e0158397 DI 10.1371/journal.pone.0158397 PG 14 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA DR6IK UT WOS:000380005400054 PM 27391138 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Jiang, C Li, DQ Wang, DW Zhang, LB AF Jiang, Chong Li, Daiqing Wang, Dewang Zhang, Linbo TI Quantification and assessment of changes in ecosystem service in the Three-River Headwaters Region, China as a result of climate variability and land cover change SO ECOLOGICAL INDICATORS LA English DT Article DE Three-River Headwaters Region (TRHR); Regulating service; Provisioning service; Climate variability; Land cover change; Ecological restoration ID SOIL LOSS; TERRESTRIAL ECOSYSTEMS; STEEP SLOPES; WEST-AFRICA; MODEL; CONSEQUENCES; CONSERVATION; DEGRADATION; IMPROVEMENT; PREDICTION AB Rapid and periodic assessment of the impact of land cover change and climate variability on ecosystem services at regional levels is essential to understanding services and sustainability of ecosystems. This study focused on quantifying and assessing the changes in multiple ecosystem services in the Three-River Headwaters Region (TRHR), China in 2000-2012. Based on the widely used biophysical models including Integrated Valuation of Ecosystem Services and Trade-Offs (InVEST), Revised Wind Erosion Equation (RWSQ), and Carnegie-Ames-Stanford Approach (CASA) models, this study assessed the historical flow of regulating services, including soil conservation, water yield, and carbon sequestration, and provisioning service food provision. The soil conservation function of ecosystem was slightly enhanced as a whole, and water yield increased sharply, with both the soil conservation and water yield showing an increasing spatial homogenization. The net primary productivity (NPP) and food production increased substantially from 2000 to 2012. Ecosystem services are closely and complexly interlinked. The correlation analyses indicated a trade-off between the water yield and carbon sequestration, however, a synergy between soil conservation and carbon sequestration. Congruence between the three different ecosystem provisioning services, including pasture, meat, and grain, was found. There was also a synergy between food production and ecosystem carbon sequestration in the TRHR. Climatic variability and vegetation restoration are important for the ecosystem services flow. Correlation analyses showed that the increase in precipitation significantly enhanced the water yield (P < 0.01) and soil erosion (P < 0.01), while the temperature increase influenced positively the NPP (P < 0.1). The experience of ecological rehabilitation and the change in key ecosystem services in the TRHR exemplified the positive effects of environmental policies and the necessity of adopting an adaptive management approach. Thus the ecological construction and policy making should take climate variability into account, and facilitate synergies on multiple ecosystem services in order to maximize human well-being and preserve its natural ecosystems. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Jiang, Chong] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China. [Jiang, Chong] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China. [Jiang, Chong; Li, Daiqing; Wang, Dewang; Zhang, Linbo] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China. [Jiang, Chong; Li, Daiqing; Wang, Dewang; Zhang, Linbo] Chinese Acad Environm Sci, Key Lab Reg Ecoproc & Funct Assessment & State En, Beijing 100012, Peoples R China. RP Jiang, C; Zhang, LB (reprint author), Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China. EM jiangchong1987@gmail.com; zhanglb@craes.org.cn FU Chinese Academy of Engineering [2014-XZ-31]; Chinese Research Academy of Environmental Sciences [2014-YKY-003] FX This research was jointly funded by a key consulting project from the Chinese Academy of Engineering (2014-XZ-31) and the Chinese Research Academy of Environmental Sciences special funding for basic scientific research (2014-YKY-003). We thank the valuable suggestions given by two anonymous referees and land use/cover data (China Cover 2000 and China Cover 2010) provided by project entitled by 'Investigation and Assessment of Eco-environment Change in China during 2000-2010 by Using Remote Sensing Technique'. CR Allen R. G., 1998, FAO Irrigation and Drainage Paper Amisigo BA, 2008, PHYS CHEM EARTH, V33, P141, DOI 10.1016/j.pce.2007.04.019 Bai ZG, 2009, AMBIO, V38, P150, DOI 10.1579/0044-7447-38.3.150 Balmford A, 2002, SCIENCE, V297, P950, DOI 10.1126/science.1073947 Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x Budyko M. I., 1974, CLIMATE LIFE, P217 Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106 Chan KMA, 2006, PLOS BIOL, V4, P2138, DOI 10.1371/journal.pbio.0040379 Chepil W. S., 1942, SCI AGRIC [OTTAWA], V23, P154 Chisholm RA, 2010, ECOL ECON, V69, P1973, DOI 10.1016/j.ecolecon.2010.05.013 Ciesiolka CAA, 2006, J SOIL WATER CONSERV, V61, P223 Daily GC, 2008, P NATL ACAD SCI USA, V105, P9455, DOI 10.1073/pnas.0804960105 Dale VH, 2007, ECOL ECON, V64, P286, DOI 10.1016/j.ecolecon.2007.05.009 Dearing JA, 2012, P NATL ACAD SCI USA, V109, pE1111, DOI 10.1073/pnas.1118263109 Du HQ, 2015, AEOLIAN RES, V17, P193, DOI 10.1016/j.aeolia.2015.04.003 Egoh B, 2009, BIOL CONSERV, V142, P553, DOI 10.1016/j.biocon.2008.11.009 Fang NF, 2011, GEOMORPHOLOGY, V135, P158, DOI 10.1016/j.geomorph.2011.08.013 Farber SC, 2002, ECOL ECON, V41, P375, DOI 10.1016/S0921-8009(02)00088-5 Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772 Fryrear D., 1998, USDA TECHNICAL B, V1 Fryrear DW, 2000, J SOIL WATER CONSERV, V55, P183 Gilioli G, 2007, ECOHEALTH, V4, P428, DOI 10.1007/s10393-007-0128-y Ivits E, 2013, ECOL INDIC, V26, P49, DOI 10.1016/j.ecolind.2012.10.012 Jiang L., 2015, SOIL WATER CONSERVAT, V22, P21 Kinnell PIA, 2008, EARTH SURF PROC LAND, V33, P1627, DOI 10.1002/esp.1629 Kremen C, 2005, ECOL LETT, V8, P468, DOI 10.1111/j.1461-0248.2005.00751.x Leh MDK, 2013, AGR ECOSYST ENVIRON, V165, P6, DOI 10.1016/j.agee.2012.12.001 Li CB, 2010, ENVIRON MANAGE, V45, P476, DOI 10.1007/s00267-009-9369-6 Li W.H., 2013, CHIN J NAT, V35, P172 Liu B. Y., 2002, P 12 ISCO, VII, P143 Liu BY, 2000, SOIL SCI SOC AM J, V64, P1759, DOI 10.2136/sssaj2000.6451759x LIU BY, 1994, T ASAE, V37, P1835 Liu JY, 2008, J GEOGR SCI, V18, P259, DOI 10.1007/s11442-008-0259-2 Liu XF, 2014, J GEOGR SCI, V24, P288, DOI 10.1007/s11442-014-1088-0 Lu YH, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031782 Luan Z., 2013, SCI WORLD J, V752846 Matson P, 2002, AMBIO, V31, P113, DOI 10.1639/0044-7447(2002)031[0113:TGONDC]2.0.CO;2 McCool D, 1997, USDA AGR HDB MCCOOL DK, 1989, T ASAE, V32, P1571 McFarlane D, 2012, J HYDROL, V475, P488, DOI 10.1016/j.jhydrol.2012.05.038 Merrill SD, 1999, SOIL SCI SOC AM J, V63, P1768, DOI 10.2136/sssaj1999.6361768x Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY, P1 Montandon LM, 2008, REMOTE SENS ENVIRON, V112, P1835, DOI 10.1016/j.rse.2007.09.007 MONTEITH JL, 1977, PHILOS T ROY SOC B, V281, P277, DOI 10.1098/rstb.1977.0140 Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023 NRC (National Research Council), 2005, VAL EC SERV BETT ENV, P1 [欧阳志云 Ouyang Zhiyun], 2015, [生态学报, Acta Ecologica Sinica], V35, P219 Peng CH, 2009, GLOBAL PLANET CHANGE, V66, P179, DOI 10.1016/j.gloplacha.2008.12.001 Piao SL, 2005, GLOBAL BIOGEOCHEM CY, V19, DOI 10.1029/2004GB002274 POTTER CS, 1993, GLOBAL BIOGEOCHEM CY, V7, P811, DOI 10.1029/93GB02725 Renard KG, 1997, AGR HDB, V703, P404 Rustad L.E., 2002, ENCY GLOBAL ENV CHAN, V2, P575 Saxton K.E., 1986, T ASAE, V50, P1031, DOI DOI 10.2136/SSSAJ1986.03615995005000040039X Seppelt R, 2011, J APPL ECOL, V48, P630, DOI 10.1111/j.1365-2664.2010.01952.x [邵景安 SHAO Jin-gan], 2009, [地理研究, Geographical Research], V28, P613 Sun FeiDa, 2008, Acta Prataculturae Sinica, V17, P111 Syrbe RU, 2012, ECOL INDIC, V21, P80, DOI 10.1016/j.ecolind.2012.02.013 Tallis H. T., 2011, INVEST 2 2 2 US GUID, P1 Tattari S, 2001, PHYS CHEM EARTH PT B, V26, P27, DOI 10.1016/S1464-1909(01)85010-3 Tong LG, 2014, ENERGIES, V7, P2515, DOI 10.3390/en7042515 van Jaarsveld AS, 2005, PHILOS T R SOC B, V360, P425, DOI 10.1098/rstb.2004.1594 Van Remortel R.D., 2001, CARTOGRAPHY, V30, P27, DOI DOI 10.1080/00690805.2001.9714133 Williams JR, 1997, SOIL TECHNOL, V11, P43, DOI 10.1016/S0933-3630(96)00114-6 [吴炳方 Wu Bingfang], 2014, [第四纪研究, Quaternary Sciences], V34, P723 Yu DY, 2009, INT J REMOTE SENS, V30, P4851, DOI 10.1080/01431160802680552 Zeng XB, 2000, J APPL METEOROL, V39, P826, DOI 10.1175/1520-0450(2000)039<0826:DAEOGK>2.0.CO;2 Zhang L, 2001, WATER RESOUR RES, V37, P701, DOI 10.1029/2000WR900325 Zhang W. B., 2002, RESOUR SCI, V25, P35 Zhang W, 2007, ECOL ECON, V64, P253, DOI 10.1016/j.ecolecon.2007.02.024 Zhang YY, 2012, J GEOGR SCI, V22, P781, DOI 10.1007/s11442-012-0963-9 [周才平 Zhou Caiping], 2004, [地理学报, Acta Geographica Sinica], V59, P74 Zhu WQ, 2006, CHINESE SCI BULL, V51, P457, DOI 10.1007/S11434-006-0457-1 方精云, 2007, [中国科学. D辑, 地球科学, Science in China. Series D, Earth Sciences], V37, P804 NR 73 TC 26 Z9 29 U1 19 U2 98 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD JUL PY 2016 VL 66 BP 199 EP 211 DI 10.1016/j.ecolind.2016.01.051 PG 13 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA ED5SJ UT WOS:000388912300020 DA 2019-04-09 ER PT J AU Hoekstra, AY AF Hoekstra, Arjen Y. TI A critique on the water-scarcity weighted water footprint in LCA SO ECOLOGICAL INDICATORS LA English DT Article DE Water footprint; Water scarcity; Water stress; Water depletion; Water pollution; Life cycle assessment; ISO 14046; Environmental impact assessment ID LIFE-CYCLE ASSESSMENT; IMPACT ASSESSMENT; ANTHROPOGENIC NITROGEN; CONSUMPTION; RESOURCES; INDICATORS; GREEN; PART; CARBON; TRADE AB The water footprint (WF) has been developed within the water resources research community as a volumetric measure of freshwater appropriation. The concept is used to assess water use along supply chains, sustainability of water use within river basins, efficiency of water use, equitability of water allocation and dependency on water in the supply chain. With the purpose of integrating the WF in life cycle assessment of products, LCA scholars have proposed to weight the original volumetric WF by the water scarcity in the catchment where the WF is located, thus obtaining a water-scarcity weighted WF that reflects the potential local environmental impact of water consumption. This paper provides an elaborate critique on this proposal. The main points are: (1) counting litres of water use differently based on the level of local water scarcity obscures the actual debate about water scarcity, which is about allocating water resources to competing uses and depletion at a global scale; (2) the neglect of green water consumption ignores the fact that green water is scarce as well; (3) since water scarcity in a catchment increases with growing overall water consumption in the catchment, multiplication of the consumptive water use of a specific process or activity with water scarcity implies that the resultant weighted WF of a process or activity will be affected by the WFs of other processes or activities, which cannot be the purpose of an environmental performance indicator; (4) the LCA treatment of the WF is inconsistent with how other environmental footprints are defined; and (5) the Water Stress Index, the most cited water scarcity metric in the LCA community, lacks meaningful physical interpretation. It is proposed to incorporate the topic of freshwater scarcity in LCA as a "natural resource depletion" category, considering depletion from a global perspective. Since global freshwater demand is growing while global freshwater availability is limited, it is key to measure the comparative claim of different products on the globe's limited accessible and usable freshwater flows. (C) 2016 The Author. Published by Elsevier Ltd. C1 [Hoekstra, Arjen Y.] Univ Twente, POB 217, NL-7500 AE Enschede, Netherlands. RP Hoekstra, AY (reprint author), Univ Twente, POB 217, NL-7500 AE Enschede, Netherlands. EM a.y.hoekstra@utwente.nl RI Hoekstra, Arjen/B-4980-2008 OI Hoekstra, Arjen/0000-0002-4769-5239 FU University of Twente FX This research has been funded by the University of Twente. CR Bayart JB, 2014, INT J LIFE CYCLE ASS, V19, P1336, DOI 10.1007/s11367-014-0732-3 Bayart JB, 2010, INT J LIFE CYCLE ASS, V15, P439, DOI 10.1007/s11367-010-0172-7 Berger Markus, 2010, Sustainability, V2, P919, DOI 10.3390/su2040919 Berger M, 2013, J IND ECOL, V17, P79, DOI 10.1111/j.1530-9290.2012.00495.x Borucke M, 2013, ECOL INDIC, V24, P518, DOI 10.1016/j.ecolind.2012.08.005 Boulay A.M., 2015, LCA 15 C VANC 7 OCT Boulay AM, 2015, INT J LIFE CYCLE ASS, V20, P865, DOI 10.1007/s11367-015-0868-9 Boulay AM, 2015, INT J LIFE CYCLE ASS, V20, P577, DOI 10.1007/s11367-015-0869-8 Boulay AM, 2015, INT J LIFE CYCLE ASS, V20, P139, DOI 10.1007/s11367-014-0814-2 Boulay AM, 2013, ENVIRON SCI TECHNOL, V47, P11926, DOI 10.1021/es403928f Boulay AM, 2011, ENVIRON SCI TECHNOL, V45, P8948, DOI 10.1021/es1030883 Chapagain AK, 2006, ECOL ECON, V60, P186, DOI 10.1016/j.ecolecon.2005.11.027 Chukalla AD, 2015, HYDROL EARTH SYST SC, V19, P4877, DOI 10.5194/hess-19-4877-2015 Dalin C, 2012, P NATL ACAD SCI USA, V109, P5989, DOI 10.1073/pnas.1203176109 de Haes HAU, 2002, HANDBOOK OF INDUSTRIAL ECOLOGY, P138 Ercin AE, 2014, ENVIRON INT, V64, P71, DOI 10.1016/j.envint.2013.11.019 Ercin AE, 2013, ECOL ECON, V88, P133, DOI 10.1016/j.ecolecon.2013.01.015 Falkenmark M, 2006, J WATER RES PL-ASCE, V132, P129, DOI 10.1061/(ASCE)0733-9496(2006)132:3(129) Falkenmark M, 1997, PHILOS T ROY SOC B, V352, P929, DOI 10.1098/rstb.1997.0072 Falkenmark M, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0410 Fang K, 2015, SUSTAINABILITY-BASEL, V7, P11285, DOI 10.3390/su70811285 Fang K, 2014, ECOL INDIC, V36, P508, DOI 10.1016/j.ecolind.2013.08.017 Franke N. A., 2013, VALUE WATER RES REPO, V65 Galli A, 2012, ECOL INDIC, V16, P100, DOI 10.1016/j.ecolind.2011.06.017 Gerbens-Leenes PW, 2012, GLOBAL ENVIRON CHANG, V22, P764, DOI 10.1016/j.gloenvcha.2012.04.001 Giljum S, 2011, RESOUR CONSERV RECY, V55, P300, DOI 10.1016/j.resconrec.2010.09.009 Hellweg S, 2014, SCIENCE, V344, P1109, DOI 10.1126/science.1248361 Hertwich EG, 2009, ENVIRON SCI TECHNOL, V43, P6414, DOI 10.1021/es803496a Hoekstra A.Y., 2009, WATER FOOTPRINT MANU Hoekstra A.Y, 2011, WATER FOOTPRINT ASSE Hoekstra AY, 2014, WIRES WATER, V1, P31, DOI 10.1002/wat2.1000 Hoekstra AY, 2014, SCIENCE, V344, P1114, DOI 10.1126/science.1248365 Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, pE1425, DOI 10.1073/pnas.1205186109 Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688 Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 Hoekstra AY, 2009, P NATL ACAD SCI USA, V106, pE114, DOI 10.1073/pnas.0909948106 Hoekstra AY, 2005, GLOBAL ENVIRON CHANG, V15, P45, DOI 10.1016/j.gloenvcha.2004.06.004 Hoekstra AY, 2013, WATER FOOTPRINT MODE Hoekstra AY, 2003, P INT EXP M VIRT WAT, V12 Hoff H, 2009, CURR OPIN ENV SUST, V1, P141, DOI 10.1016/j.cosust.2009.10.001 International Standard, 2014, 14046 ISO Jeswani HK, 2011, J CLEAN PROD, V19, P1288, DOI 10.1016/j.jclepro.2011.04.003 Klinglmair M, 2014, INT J LIFE CYCLE ASS, V19, P580, DOI 10.1007/s11367-013-0650-9 Koehler A, 2008, INT J LIFE CYCLE ASS, V13, P451, DOI 10.1007/s11367-008-0028-6 Kounina A, 2013, INT J LIFE CYCLE ASS, V18, P707, DOI 10.1007/s11367-012-0519-3 Liu C, 2012, ECOL INDIC, V18, P42, DOI 10.1016/j.ecolind.2011.10.005 Liu J, 2008, HYDROL EARTH SYST SC, V12, P887, DOI 10.5194/hess-12-887-2008 Mekonnen MM, 2010, HYDROL EARTH SYST SC, V14, P1259, DOI 10.5194/hess-14-1259-2010 Mekonnen MM, 2015, ENVIRON SCI TECHNOL, V49, P12860, DOI 10.1021/acs.est.5b03191 Mekonnen MM, 2015, ENVIRON SCI-WAT RES, V1, P285, DOI [10.1039/c5ew00026b, 10.1039/C5EW00026B] Mekonnen MM, 2014, ECOL INDIC, V46, P214, DOI [10.1016/j.ecolind.2014.06.013, 10.1016/j.ecolind] Canals LMI, 2009, INT J LIFE CYCLE ASS, V14, P28, DOI 10.1007/s11367-008-0030-z Pennington DW, 2004, ENVIRON INT, V30, P721, DOI 10.1016/j.envint.2003.12.009 Pfister S, 2014, J CLEAN PROD, V73, P52, DOI 10.1016/j.jclepro.2013.11.031 Pfister S, 2014, ENVIRON SCI TECHNOL, V48, P4, DOI 10.1021/es405340a Pfister S, 2009, P NATL ACAD SCI USA, V106, pE93, DOI 10.1073/pnas.0908069106 Pfister S, 2009, ENVIRON SCI TECHNOL, V43, P4098, DOI 10.1021/es802423e Postel SL, 1996, SCIENCE, V271, P785, DOI 10.1126/science.271.5250.785 Rebitzer G, 2004, ENVIRON INT, V30, P701, DOI 10.1016/j.envint.2003.11.005 Ridoutt BG, 2009, J CLEAN PROD, V17, P1228, DOI 10.1016/j.jclepro.2009.03.002 Ridoutt BG, 2013, INT J LIFE CYCLE ASS, V18, P204, DOI 10.1007/s11367-012-0458-z Ridoutt BG, 2012, P NATL ACAD SCI USA, V109, pE1424, DOI 10.1073/pnas.1203809109 Ridoutt BG, 2010, GLOBAL ENVIRON CHANG, V20, P113, DOI 10.1016/j.gloenvcha.2009.08.003 Rockstrom J, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006767 Rockstrom J, 2004, BALANCING WATER HUMA Romaguera M, 2010, REMOTE SENS-BASEL, V2, P1177, DOI 10.3390/rs2041177 Savenije HHG, 2000, PHYS CHEM EARTH PT B, V25, P199, DOI 10.1016/S1464-1909(00)00004-6 Schyns JF, 2015, HYDROL EARTH SYST SC, V19, P4581, DOI 10.5194/hess-19-4581-2015 Seekell DA, 2011, SOC NATUR RESOUR, V24, P1205, DOI 10.1080/08941920.2011.557712 Sun SK, 2013, SCI TOTAL ENVIRON, V444, P498, DOI 10.1016/j.scitotenv.2012.12.016 Vanham D, 2013, ENVIRON INT, V61, P45, DOI 10.1016/j.envint.2013.09.011 Vorosmarty CJ, 2015, SCIENCE, V349, P478, DOI 10.1126/science.aac6009 Vorosmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284 Wackernagel M., 1996, ECOLOGICAL FOOTPRINT Wada Y, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009792 Wiedmann TO, 2015, P NATL ACAD SCI USA, V112, P6271, DOI 10.1073/pnas.1220362110 Zeng Z, 2012, HYDROL EARTH SYST SC, V16, P2771, DOI 10.5194/hess-16-2771-2012 Zhuo L, 2014, HYDROL EARTH SYST SC, V18, P2219, DOI 10.5194/hess-18-2219-2014 NR 78 TC 61 Z9 61 U1 3 U2 61 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD JUL PY 2016 VL 66 BP 564 EP 573 DI 10.1016/j.ecolind.2016.02.026 PG 10 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA ED5SJ UT WOS:000388912300058 OA Green Published, Other Gold HC Y HP N DA 2019-04-09 ER PT J AU Rodriguez, JA Thomsen, CG Arenas, D Pagell, M AF Rodriguez, Jorge A. Thomsen, Cristina Gimenez Arenas, Daniel Pagell, Mark TI NGOS' INITIATIVES TO ENHANCE SOCIAL SUSTAINABILITY IN THE SUPPLY CHAIN: POVERTY ALLEVIATION THROUGH SUPPLIER DEVELOPMENT PROGRAMS SO JOURNAL OF SUPPLY CHAIN MANAGEMENT LA English DT Article DE sustainability; partnering; supplier management; case studies ID SUSTAINED COMPETITIVE ADVANTAGE; MANAGEMENT; PERFORMANCE; BUSINESS; SECTOR; RESPONSIBILITY; RESOURCES; BOTTOM; ORGANIZATIONS; OPPORTUNITIES AB This research studies how nongovernmental organizations (NGOs) can implement supply-management practices for poverty alleviation. The research inductively builds a theoretical framework from a nested case study, which includes one NGO and six firms implementing supplier development (SD) programs. The framework suggests a set of resources that enhance the social sustainability of the supply chain without creating trade-offs between economic and social performance. This study has implications for decision-makers in firms and NGOs about the type of resources they need to develop, and the characteristics they should seek when choosing partners for undertaking collaborative initiatives in social sustainability. C1 [Rodriguez, Jorge A.] Escuela Super Politecn Litoral, Operat Management, Grad Sch Management, Guayaquil, Ecuador. [Thomsen, Cristina Gimenez] ESADE Ramon Lull Univ, Operat Management, Barcelona, Spain. [Thomsen, Cristina Gimenez] ESADE Ramon Lull Univ, Barcelona, Spain. [Arenas, Daniel] ESADE Ramon Lull Univ, Dept Social Sci, Barcelona, Spain. [Pagell, Mark] Univ Coll Dublin, Sustainable Supply Chain Management, Michael Smurfit Grad Sch Business, Dublin, Ireland. [Pagell, Mark] Univ Coll Dublin, Global Leadership, Michael Smurfit Grad Sch Business, Dublin, Ireland. RP Rodriguez, JA (reprint author), Escuela Super Politecn Litoral, Operat Management, Grad Sch Management, Guayaquil, Ecuador. RI Arenas, Daniel/R-1309-2018; UBneuro, UBneuro/U-8656-2017 OI Arenas, Daniel/0000-0003-1759-3773; Rodriguez, Jorge/0000-0002-4868-0848 CR Ansari S, 2012, J MANAGE STUD, V49, P813, DOI 10.1111/j.1467-6486.2012.01042.x Arenas D, 2013, J BUS ETHICS, V115, P723, DOI 10.1007/s10551-013-1829-5 BARNEY J, 1991, J MANAGE, V17, P99, DOI 10.1177/014920639101700108 Barney JB, 2012, J SUPPLY CHAIN MANAG, V48, P3, DOI 10.1111/j.1745-493X.2012.03265.x BROWN LD, 1991, HUM RELAT, V44, P807, DOI 10.1177/001872679104400804 Burt R. S, 2005, BROKERAGE CLOSURE Carter CR, 2008, INT J PHYS DISTR LOG, V38, P360, DOI 10.1108/09600030810882816 Crook TR, 2014, J SUPPLY CHAIN MANAG, V50, P94, DOI 10.1111/jscm.12055 DeSoto H., 2000, MYSTERY CAPITAL WHY Dyer JH, 1998, ACAD MANAGE REV, V23, P660, DOI 10.2307/259056 Eisenhardt KM, 2000, STRATEGIC MANAGE J, V21, P1105, DOI 10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E Gibbert M, 2008, STRATEGIC MANAGE J, V29, P1465, DOI 10.1002/smj.722 Gimenez C, 2012, INT J PROD ECON, V140, P149, DOI 10.1016/j.ijpe.2012.01.035 Gimenez C, 2012, SUPPLY CHAIN MANAG, V17, P531, DOI 10.1108/13598541211258591 Hahn R, 2014, J BUS RES, V67, P1321, DOI 10.1016/j.jbusres.2013.09.002 Hult GTM, 2006, J OPER MANAG, V24, P458, DOI 10.1016/j.jom.2005.11.009 Karnani A, 2007, CALIF MANAGE REV, V49, P90, DOI 10.2307/41166407 Klassen RD, 2012, INT J PROD ECON, V140, P103, DOI 10.1016/j.ijpe.2012.01.021 Kolk A, 2006, WORLD DEV, V34, P789, DOI 10.1016/j.worlddev.2005.10.005 Kolk A, 2014, BUS SOC, V53, P338, DOI 10.1177/0007650312474928 Krause DR, 2007, J OPER MANAG, V25, P528, DOI 10.1016/j.jom.2006.05.007 London T, 2010, J BUS RES, V63, P582, DOI 10.1016/j.jbusres.2009.04.025 Lund-Thomsen P, 2014, J BUS ETHICS, V123, P11, DOI 10.1007/s10551-013-1796-x Luo YD, 2008, STRATEG MANAGE J, V29, P27, DOI 10.1002/smj.646 Mamic I, 2005, J BUS ETHICS, V59, P81, DOI 10.1007/s10551-005-3415-y Margolis JD, 2003, ADMIN SCI QUART, V48, P268, DOI 10.2307/3556659 Matos S, 2013, J CLEAN PROD, V45, P61, DOI 10.1016/j.jclepro.2012.04.023 McDonald S, 2012, J CLEAN PROD, V37, P54, DOI 10.1016/j.jclepro.2012.06.007 MEYER JW, 1977, AM J SOCIOL, V83, P340, DOI 10.1086/226550 Miemczyk J, 2012, SUPPLY CHAIN MANAG, V17, P478, DOI 10.1108/13598541211258564 Miles M. B., 1994, QUALITATIVE DATA ANA Miller CC, 1997, ACAD MANAGE J, V40, P189, DOI 10.2307/257026 Modi SB, 2007, J OPER MANAG, V25, P42, DOI 10.1016/j.jom.2006.02.001 Nespresso, 2014, EMP SMALL SCAL COFF Obstfeld D, 2005, ADMIN SCI QUART, V50, P100, DOI 10.2189/asqu.2005.50.1.100 Olavarrieta S., 1997, INT J PHYS DISTRIB, V27, P559, DOI [DOI 10.1108/09600039710188594, 10.1108/09600039710188594] Pagell M, 2014, J SUPPLY CHAIN MANAG, V50, P44, DOI 10.1111/jscm.12037 Pagell M, 2009, J SUPPLY CHAIN MANAG, V45, P37, DOI 10.1111/j.1745-493X.2009.03162.x Parmigiani A, 2015, J OPER MANAG, V33-34, P60, DOI 10.1016/j.jom.2014.10.007 Payne GT, 2011, J MANAGE, V37, P491, DOI 10.1177/0149206310372413 Prahalad C. K., 2004, FORTUNE BOTTOM PYRAM Priem RL, 2012, J SUPPLY CHAIN MANAG, V48, P7, DOI 10.1111/j.1745-493X.2012.03264.x Pullman ME, 2009, J SUPPLY CHAIN MANAG, V45, P38, DOI 10.1111/j.1745-493X.2009.03175.x Rainforest Alliance, 2014, ALL POV Romig S., 2011, WALL STREET J Seitanidi MM, 2010, J BUS ETHICS, V94, P139, DOI 10.1007/s10551-011-0784-2 Selsky JW, 2005, J MANAGE, V31, P849, DOI 10.1177/0149206305279601 Sodhi MS, 2014, PROD OPER MANAG, V23, P1483, DOI 10.1111/poms.12161 Solidaridad, 2014, SUPPL CHAINS SOL NET Transparency-International, 2015, 2014 CORR PERC IND R Unilever, 2014, SUST LIV PLAN Westley F., 1991, J APPLIED BEHAVIORAL, V27, P65, DOI DOI 10.1177/0021886391271004 WILLIAMSON OE, 1981, AM J SOCIOL, V87, P548, DOI 10.1086/227496 WorldBank, 2011, WORLD DEV IND WorldBank, 2010, EXTR POV RAT CONT FA Yermo J., 2014, RATIONALE FIGHTING C Yin R. K., 2013, CASE STUDY RES DESIG NR 57 TC 22 Z9 22 U1 10 U2 30 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1523-2409 EI 1745-493X J9 J SUPPLY CHAIN MANAG JI J. Supply Chain Manag. PD JUL PY 2016 VL 52 IS 3 BP 83 EP 108 DI 10.1111/jscm.12104 PG 26 WC Management SC Business & Economics GA DY2SR UT WOS:000384942800005 DA 2019-04-09 ER PT J AU Hansen, A Budde, J Prochnow, A AF Hansen, Anja Budde, Joern Prochnow, Annette TI Resource Usage Strategies and Trade-Offs between Cropland Demand, Fossil Fuel Consumption, and Greenhouse Gas Emissions-Building Insulation as an Example SO SUSTAINABILITY LA English DT Article DE resource efficiency; environmental sustainability criteria; cropland; fossil fuels; greenhouse gas emissions; insulation materials; EPS; hemp; SRC; maize silage ID LIFE-CYCLE ASSESSMENT; LAND-USE CHANGE; ENVIRONMENTAL IMPACTS; STONE WOOL; PAPER WOOL; ENERGY; BIOENERGY; PRODUCTS; SYSTEMS AB Bioresources are used in different production systems as materials as well as energy carriers. The same is true for fossil fuel resources. This study explored whether preferential resource usages exist, using a building insulation system as an example, with regard to the following sustainability criteria: climate impact, land, and fossil fuel demand. We considered the complete life cycle in a life cycle assessment-based approach. The criteria were compared for two strategies: one used natural fibers as material and generated production energies from fossil fuels; the other generated production energies from bioenergy carriers and transformed fossil resources into the insulation material. Both strategies finally yielded the same insulation effect. Hence, the energy demand for heating the building was ignored. None of the strategies operated best in all three criteria: While cropland demand was lower in the bioenergy than in the biomaterial system, its fossil fuel demand was higher. Net contribution to climate change was in the same range for both strategies if we considered no indirect changes in land use. Provided that effective recycling concepts for fossil-derived insulations are in place, using bioresources for energy generation was identified as a promising way to mitigate climate change along with efficient resource use. C1 [Hansen, Anja; Budde, Joern; Prochnow, Annette] Leibniz Inst Agr Engn Potsdam Bornim, Max Eyth Allee 100, D-14469 Potsdam, Germany. [Prochnow, Annette] Humboldt Univ, Fac Life Sci, Invalidenstr 42, D-10115 Berlin, Germany. RP Hansen, A (reprint author), Leibniz Inst Agr Engn Potsdam Bornim, Max Eyth Allee 100, D-14469 Potsdam, Germany. EM ahansen@atb-potsdam.de; jbudde@atb-potsdam.de; aprochnow@atb-potsdam.de RI Hansen, Anja/G-6294-2013 OI Hansen, Anja/0000-0002-4402-7040; Budde, Jorn/0000-0002-9124-1541; Prochnow, Annette/0000-0003-3528-5272 FU Leibniz-Pakt fur Forschung project "bioenergy planet"; Leibniz Association FX We would like to thank Hans-Jorg Gusovius for his valuable comments and discussion about hemp cultivation and market implications in Germany and appreciate that several external experts were willing to share their market knowledge. This work was partially funded within the Leibniz-Pakt fur Forschung project "bioenergy planet". The publication of this article was funded by the Open Access fund of the Leibniz Association. John L. Grantham improved English grammar and syntax. CR Alvarenga RAF, 2013, RENEW ENERG, V59, P49, DOI 10.1016/j.renene.2013.03.029 Arcese G., 2016, INT J LCA Ascione F, 2015, SUSTAINABILITY-BASEL, V7, P10809, DOI 10.3390/su70810809 Audsley E., 2009, LOW CAN WE GO ASSESS BBSR, NUTZ BAUT LEB NACH B Benoit-Norris C, 2012, SUSTAINABILITY-BASEL, V4, P1946, DOI 10.3390/su4091946 BfN (Federal Agency for Nature Conservation), GRUNL REP ALL GRUN B Bos U., 2010, AKTUALISIERUNG CO2 B, P11 Bruch C., 2012, COMMUNICATION Canadian Hemp Trade Alliance, GROW HEMP SUBP MARK Canto-Perello J, 2015, SUSTAINABILITY-BASEL, V7, P6854, DOI 10.3390/su7066854 Carus M., EUROPEAN HEMP IND CU Cherubini F, 2011, BIORESOURCE TECHNOL, V102, P437, DOI 10.1016/j.biortech.2010.08.010 Colwill JA, 2012, INT J SUSTAIN ENG, V5, P3, DOI 10.1080/19397038.2011.602439 Daioglou V, 2015, GCB BIOENERGY, V7, P1321, DOI 10.1111/gcbb.12228 Danish Energy Agency, EN STAT Danner H., HDB OKOLOGISCHE WARM De Rosa M, 2016, J CLEAN PROD, V113, P183, DOI 10.1016/j.jclepro.2015.11.097 Delin S, 2012, SOIL USE MANAGE, V28, P283, DOI 10.1111/j.1475-2743.2012.00417.x DIN EN ISO, 2006, 140402006 ISO DIN EN ISO, 2006, ENV PROT OCC SAF SAF Don A, 2012, GCB BIOENERGY, V4, P372, DOI 10.1111/j.1757-1707.2011.01116.x Dornburg V, 2003, J IND ECOL, V7, P93, DOI DOI 10.1162/ Ekvall T, 2005, J CLEAN PROD, V13, P1225, DOI 10.1016/j.jclepro.2005.05.010 Erlandsson M, 1997, BUILD ENVIRON, V32, P129, DOI 10.1016/S0360-1323(96)00041-8 European Commission DG for Agriculture and Rural Development EU agriculture, 2012, STAT EC INF European Commission-Joint Research Centre, I ENV SUST INT REF L Fargione J, 2008, SCIENCE, V319, P1235, DOI 10.1126/science.1152747 Feliciano D, 2014, ENVIRON SCI POLICY, V44, P26, DOI 10.1016/j.envsci.2014.07.010 Finkbeiner M, 2014, BIOMASS BIOENERG, V62, P218, DOI 10.1016/j.biombioe.2014.01.024 Frischknecht R., OVERVIEW METHODOLOGY Fritsche U.R., TREIBHAUSGASBILANZEN Graf T., LEITLINIE EFFIZIENTE Hannouf M, 2016, INT J LIFE CYCLE ASS, V21, P1059, DOI 10.1007/s11367-016-1136-3 Hansen A, 2013, BIOMASS BIOENERG, V56, P104, DOI 10.1016/j.biombioe.2013.05.004 Hischier R., 2010, DOCUMENTATION CHANGE, P320 ifu, 2011, IFEU UMB VERS 5 5 IINAS, 2014, GEM GLOB EM MOD INT Ingrao C, 2015, RENEW SUST ENERG REV, V51, P29, DOI 10.1016/j.rser.2015.06.002 IPCC, IPCC GUIDELINES NATL ISO-International Organization for Standardization, 2007, 6946 ISO EN Jakob M, 2014, OXFORD REV ECON POL, V30, P447, DOI 10.1093/oxrep/gru026 Jorgensen SV, 2015, INT J LIFE CYCLE ASS, V20, P451, DOI 10.1007/s11367-015-0845-3 Kauffman NS, 2013, ENERG POLICY, V54, P300, DOI 10.1016/j.enpol.2012.11.036 Kilpelainen A, 2014, MITIG ADAPT STRAT GL, V19, P955, DOI 10.1007/s11027-013-9454-2 Kjaer LL, 2016, J CLEAN PROD, V120, P95, DOI 10.1016/j.jclepro.2016.01.048 KTBL, 2006, EN DAT PLAN EN Luhr C., 2013, Journal of Agricultural Science (Toronto), V5, P9 Mankowski J, 2014, CHEMIK, V68, P903 Mazor MH, 2011, J IND ECOL, V15, P284, DOI 10.1111/j.1530-9290.2010.00325.x Meynard J.M., FREINS LEVIERS DIVER Nitsch H., LANDWIRTSCHAFTLICHE Pawelzik P, 2013, RESOUR CONSERV RECY, V73, P211, DOI 10.1016/j.resconrec.2013.02.006 Piemonte V, 2012, ENERG SOURCE PART A, V34, P1995, DOI 10.1080/15567036.2010.497797 Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Schierhold G., 2013, COMMUNICATION Schmidt AC, 2004, INT J LIFE CYCLE ASS, V9, P122, DOI 10.1065/lca2003.12.144.2 Schmidt AC, 2004, INT J LIFE CYCLE ASS, V9, P53, DOI 10.1065/lca2003.12.144.1 Schmidt JH, 2015, J CLEAN PROD, V99, P230, DOI 10.1016/j.jclepro.2015.03.013 Shah DU, 2013, J MATER SCI, V48, P6083, DOI 10.1007/s10853-013-7458-7 Silvestre JD, 2014, J CLEAN PROD, V66, P37, DOI 10.1016/j.jclepro.2013.10.028 TLL, BEGL EINF PRAX HANF Tonini D., 2015, GCB BIOENERGY Verstegen JA, 2016, GCB BIOENERGY, V8, P561, DOI 10.1111/gcbb.12270 Vogt R., BASISDATEN THG BILAN Walter K, 2015, GCB BIOENERGY, V7, P727, DOI 10.1111/gcbb.12177 Weiss M, 2012, J IND ECOL, V16, pS169, DOI 10.1111/j.1530-9290.2012.00468.x Wolf J, 2003, AGR SYST, V76, P841, DOI 10.1016/S0308-521X(02)00077-X Wotzel K., OKOBILANZ PKW SEITEN NR 69 TC 2 Z9 2 U1 1 U2 17 PU MDPI PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD JUL PY 2016 VL 8 IS 7 AR 613 DI 10.3390/su8070613 PG 24 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DS4OM UT WOS:000380760400024 OA DOAJ Gold DA 2019-04-09 ER PT J AU Zhang, XF Niu, JM Buyantuev, A Zhang, Q Dong, JJ Kang, S Zhang, J AF Zhang, Xuefeng Niu, Jianming Buyantuev, Alexander Zhang, Qing Dong, Jianjun Kang, Sarula Zhang, Jing TI Understanding Grassland Degradation and Restoration from the Perspective of Ecosystem Services: A Case Study of the Xilin River Basin in Inner Mongolia, China SO SUSTAINABILITY LA English DT Article DE grassland degradation; ecosystem services; grassland degradation index; Xilin River Basin; Inner Mongolia grassland ID TRADE-OFFS; LANDSCAPE; PATTERNS; CLASSIFICATION; MANAGEMENT; VEGETATION; STRATEGY; DRIVERS; IMPACTS; STEPPE AB Ecosystem services (ESs) and their transformations in northern China play a crucial role in regional sustainability. During the past several decades, grassland degradation has become one of the most important ecological and economic issues in this region. Therefore, understanding the impacts of grassland degradation and restoration on ESs is essential for maintaining ecological resilience and social security of Northern China. Our objective was to explore the relationship between ESs and grassland changes induced by vegetation succession in the Xilin River Basin, Inner Mongolia, China. Using vegetation maps derived from remotely sensed imagery collected in 1983, 1989, 2000, and 2011, we calculated the degree of grassland degradation using the Grassland Degradation Index (GDI). Aboveground biomass (AGB), soil conservation (SC), and water retention (WR) were also estimated to assess ESs for each year. Our results show that: (1) GDI increased during 1983-2000 and decreased during 2000-2011 indicating that after experiencing two decades of severe degradation the grassland has been restored since 2000. (2) AGB and SC were significantly negatively correlated with GDI. Changes in grassland conditions significantly affected WR and SC with both declining during 1983-2000 and increasing afterwards. The increase of SC, however, was slow compared to AGB and WR, which is an indication of time lag in soil restoration. (3) Grasslands in the middle and lower reaches experienced worse degradation than in the upper reaches. (4) AGB and SC exhibited a synergy, while trade-offs existed between AGB and WR and SC and WR. In summary, significant changes in grassland ecosystems in the Xilin River Basin over the past three decades affected the dynamics of ESs among which SC and WR require special attention in the future. C1 [Zhang, Xuefeng; Niu, Jianming; Zhang, Qing; Dong, Jianjun; Kang, Sarula; Zhang, Jing] Inner Mongolia Univ, Coll Life Sci, Hohhot 010021, Peoples R China. [Niu, Jianming] Inner Mongolia Univ, Sino US Ctr Conservat Energy & Sustainabil Sci, Hohhot 010021, Peoples R China. [Buyantuev, Alexander] SUNY Albany, Dept Geog & Planning, Albany, NY 12222 USA. [Zhang, Jing] Dalian Nationalities Univ, Coll Environm & Resources, Dalian 116600, Peoples R China. RP Niu, JM (reprint author), Inner Mongolia Univ, Coll Life Sci, Hohhot 010021, Peoples R China.; Niu, JM (reprint author), Inner Mongolia Univ, Sino US Ctr Conservat Energy & Sustainabil Sci, Hohhot 010021, Peoples R China. EM xfzhang2003@163.com; jmniu2005@163.com; abuyantuev@albany.edu; qzhang82@163.com; djj1978@163.com; srlkang@163.com; zhangjing@dlnu.edu.cn FU National Basic Research Program of China [2012CB722201]; National Natural Science Foundation of China [31060320]; National Science and Technology Support Program [2011BAC07B01] FX We thank two anonymous reviewers for their valuable comments on an earlier version of the paper. This research was supported by the National Basic Research Program of China (Grant No. 2012CB722201), National Natural Science Foundation of China (Grant No. 31060320) and National Science and Technology Support Program (Grant No. 2011BAC07B01). CR Akiyama Tsuyoshi, 2007, Grassland Science, V53, P1, DOI 10.1111/j.1744-697X.2007.00073.x Andrade BO, 2015, NAT CONSERVACAO, V13, P95, DOI 10.1016/j.ncon.2015.08.002 Ayanu YZ, 2012, ENVIRON SCI TECHNOL, V46, P8529, DOI 10.1021/es300157u Bai MeiLan, 2011, Transactions of Atmospheric Sciences, V34, P351 Bai YF, 2004, NATURE, V431, P181, DOI 10.1038/nature02850 Bai Yong-Fei, 2014, Chinese Journal of Plant Ecology, V38, P93, DOI 10.3724/SP.J.1258.2014.00009 Bao Y., 1994, P INT S GRASSL RES H Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x Budyko MI, 1974, CLIMATE LIFE Cao X., 2005, CHIN J PLANT ECOL, V30, P268 Centre for Ecology and Hydrology and University of South Bohemia, 2005, TWINSPAN WIND VERS 2 [Chen Siqing 陈四清], 2003, Journal of Geographical Sciences, V13, P131 Chen Z., 2002, MANAGEMENT DEGRADED, P117 Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0 Daily G., 1997, NATURES SERVICES SOC de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7 Definiens, 2010, ECONGNITION DEV VERS Dong JQ., 2013, THESIS Egoh B, 2007, ECOL ECON, V63, P714, DOI 10.1016/j.ecolecon.2007.04.007 ENVI, 2009, ENVI VERS 4 7 Environmental Systems Research Institute, 2011, ARCGIS DESKT VERS 10 Fang J., 2005, GEOPHYS RES LETT [Gao Qingzhu 高清竹], 2006, Journal of Geographical Sciences, V16, P165, DOI 10.1007/s11442-006-0204-1 Geerken R, 2004, REMOTE SENS ENVIRON, V90, P490, DOI 10.1016/j.rse.2004.01.015 Geng XL, 2015, SUSTAINABILITY-BASEL, V7, P366, DOI 10.3390/su7010366 [韩砚君 Han Yanjun], 2014, [中国草地学报, Chinese Journal of Grassland], V36, P70 IBM Corp, 2010, IBM SPSS STAT WIND V Jiang GM, 2006, AMBIO, V35, P269, DOI 10.1579/06-S-158.1 Jiang Ye, 2010, Chinese Journal of Plant Ecology, V34, P1132, DOI 10.3773/j.issn.1005-264x.2010.10.002 Jose Martinez-Harms Maria, 2012, International Journal of Biodiversity Science Ecosystem Services & Management, V8, P17, DOI 10.1080/21513732.2012.663792 Kareiva P, 2011, NATURAL CAPITAL: THEORY & PRACTICE OF MAPPING ECOSYSTEM SERVICES, P1, DOI 10.1093/acprof:oso/9780199588992.001.0001 Kawamura K, 2005, INT J REMOTE SENS, V26, P1423, DOI 10.1080/01431160512331326783 Kragt ME, 2014, ECOL ECON, V102, P147, DOI 10.1016/j.ecolecon.2014.04.001 Kumar P, 2010, EC ECOSYSTEMS BIODIV Li Bo, 1997, Scientia Agricultura Sinica, V30, P1 Li Bo, 1988, RES GRASSLAND ECOSYS, P84 Li L., 1997, J ENVIRON SCI, V9, P104 Li SY, 2012, REG ENVIRON CHANGE, V12, P461, DOI 10.1007/s10113-011-0264-3 Li WJ, 2007, J ENVIRON MANAGE, V85, P461, DOI 10.1016/j.jenvman.2006.10.010 Liu JY, 2008, J GEOGR SCI, V18, P259, DOI 10.1007/s11442-008-0259-2 LIU ZL, 2002, J ARID LAND RESOURCE, V16, P84 LIU ZL, 1998, ACTA AGRESTIA SINICA, V6, P244 Ma WH, 2008, SCI CHINA SER C, V51, P263, DOI 10.1007/s11427-008-0029-5 McDonagh J., 2006, GLOBAL IMPACTS LAND Millenium Ecosystem Assessment, 2005, ECOSYSTEMS HUMAN WEL Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY Muller F., 2010, LANDSCAPE ONLINE, V23, P1, DOI [10.3097/LO.201023, DOI 10.3097/L0.201023] National Bureau of Statistics of China, 2008, NAT BUR STAT CHIN CH Pan Y, 2014, ECOL COMPLEX, V17, P79, DOI 10.1016/j.ecocom.2013.11.001 Qiu JX, 2013, P NATL ACAD SCI USA, V110, P12149, DOI 10.1073/pnas.1310539110 Rao EM, 2014, GEOMORPHOLOGY, V207, P64, DOI 10.1016/j.geomorph.2013.10.027 Raudsepp-Hearne C, 2010, P NATL ACAD SCI USA, V107, P5242, DOI 10.1073/pnas.0907284107 Ren JZ, 2008, RANGELAND J, V30, P199, DOI 10.1071/RJ08002 Renard KG., 1997, PREDICTING SOIL EROS Rodriguez JP, 2006, ECOL SOC, V11 Sala O. E., 1997, Nature's services: societal dependence on natural ecosystems., P237 Schmidt H, 2000, J ARID ENVIRON, V45, P43, DOI 10.1006/jare.1999.0607 Sharp R., 2014, INVEST USERS GUIDE [陈四清 Chen siting], 2003, [地理学报, Acta Geographica Sinica], V58, P45 Su CH, 2012, ACTA OECOL, V44, P46, DOI 10.1016/j.actao.2011.11.006 [孙小龙 Sun Xiaolong], 2014, [中国草地学报, Chinese Journal of Grassland], V36, P23 Tanser FC, 1999, J ARID ENVIRON, V43, P477, DOI 10.1006/jare.1999.0568 Tong C, 2004, J ARID ENVIRON, V59, P133, DOI 10.1016/j.jaridenv.2004.01.004 Trabucchi M, 2012, J ENVIRON MANAGE, V111, P18, DOI 10.1016/j.jenvman.2012.06.040 Wall DH, 2013, SOIL ECOLOGY AND ECOSYSTEM SERVICES, P1 [王敏 Wang Min], 2015, [中国沙漠, Journal of Desert Research], V35, P1700 Wang W., 1996, ACTA PHYTOECOL SIN, V20, P449 Wu Jianguo, 1992, P67 Wu JG, 2013, LANDSCAPE ECOL, V28, P999, DOI 10.1007/s10980-013-9894-9 Xilinhot Statistic Bureau, 1980, STAT YB XIL Yan Y., 2011, J GEOINFORMATION SCI, V13, P549, DOI DOI 10.3724/SP.J.1047.2011.00549 Yu XinXiao, 2012, Scientia Silvae Sinicae, V48, P1 Zhang L., 2004, WATER RESOUR RES Zhang XueFeng, 2015, Acta Prataculturae Sinica, V24, P12 Zheng ZM, 2014, LANDSCAPE ECOL, V29, P1689, DOI 10.1007/s10980-014-0088-x [Zhou Wenzuo 周文佐], 2005, Journal of Geographical Sciences, V15, P3, DOI 10.1007/BF02873101 NR 76 TC 6 Z9 6 U1 2 U2 57 PU MDPI AG PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD JUL PY 2016 VL 8 IS 7 AR 594 DI 10.3390/su8070594 PG 17 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DS4OM UT WOS:000380760400005 OA DOAJ Gold DA 2019-04-09 ER PT J AU Zhang, Y Liu, XX Wang, R Tang, RB AF Zhang, Ying Liu, Xiaoxing Wang, Rui Tang, Ruobing TI Revisiting the "Guns versus Butter" Argument in China (1950-2014): New Evidence from the Continuous Wavelet Analysis SO SUSTAINABILITY LA English DT Article DE defense expenditure; social welfare spending; crowding-out effect; continuous wavelet analysis; time-frequency domain ID BUDGETARY TRADE-OFFS; TIME-SERIES; DEFENSE EXPENDITURES; WELFARE EXPENDITURES; HEALTH EXPENDITURES; MILITARY BURDEN; LATIN-AMERICA; EDUCATION; COUNTRIES; DEMOCRACIES AB The long-lasting "guns versus butter" argument reflects the fact that China has been experiencing a difficult choice in terms of improving the defense and social welfare sectors, and thus achieving fiscal sustainability. The result, however, is controversial. The present paper therefore re-examines the relationship between defense and social welfare by employing continuous wavelet analysis during a long period of 1950-2014 in China. We focus in particular on their dynamic correlation and the lead-lag relationship across different frequency bands. Our results clearly show the inexistence of the crowding-out effect between defense expenditure and social welfare; moreover, the increase in defense (social welfare) expenditure could stimulate the expansion of social welfare (defense) spending. In addition, we find a positive relationship between defense and social welfare with defense leading during 1961-1968 in the short term, when China suffered from the economic breakdown and the social turbulence caused by the Great Famine, Sino-Soviet border conflict, etc. Notably, social welfare also led the progress in defense during 1984-1988 and 1995-1998 in the medium and long terms by the further deepening of the opening-up policy and enforcing the economic system reform. C1 [Zhang, Ying; Liu, Xiaoxing; Wang, Rui; Tang, Ruobing] Southeast Univ, Dept Finance, Sch Econ & Management, Nanjing 210096, Jiangsu, Peoples R China. [Wang, Rui] Peking Univ, Sch Econ, Beijing 100871, Peoples R China. RP Zhang, Y (reprint author), Southeast Univ, Dept Finance, Sch Econ & Management, Nanjing 210096, Jiangsu, Peoples R China. EM yingzhang@seu.edu.cn; morningstar168@seu.edu.cn; wangrui0721@gmail.com; 213132576@seu.edu.cn FU National Social Science Foundation of China [15CGL045]; National Natural Science Foundation of China [71473036]; Ministry of Education of Jiangsu Province [2014SJD013]; Social Science Research Grant of Southeast University [2242015S22005]; Ministry of Education of the People's Republic of China [14YJC790110]; European Commission FX We gratefully acknowledge the financial support from National Social Science Foundation of China (No. 15CGL045), National Natural Science Foundation of China (No. 71473036), Ministry of Education of Jiangsu Province (2014SJD013), Social Science Research Grant of Southeast University (No. 2242015S22005), Ministry of Education of the People's Republic of China (No. 14YJC790110) and European Commission. Responsibility for all errors is ours. The usual disclaimer applies. CR Aguiar-Conraria L, 2014, J ECON SURV, V28, P344, DOI 10.1111/joes.12012 [Anonymous], 2015, CHIN STAT YB APOSTOLAKIS BE, 1992, J PEACE RES, V29, P85, DOI 10.1177/0022343392029001007 CAPUTO DA, 1975, POLICY SCI, V6, P423, DOI 10.1007/BF00142383 Cazelles B, 2008, OECOLOGIA, V156, P287, DOI 10.1007/s00442-008-0993-2 Cazelles B, 2007, J R SOC INTERFACE, V4, P625, DOI 10.1098/rsif.2007.0212 DABELKO D, 1977, J PEACE RES, V14, P145, DOI 10.1177/002234337701400204 DAVIS DR, 1990, J PEACE RES, V27, P87, DOI 10.1177/0022343390027001008 DEGER S, 1985, J DEV AREAS, V20, P37 DOMKE WK, 1983, AM POLIT SCI REV, V77, P19, DOI 10.2307/1956009 EICHENBERG RC, 1984, POLICY SCI, V16, P391, DOI 10.1007/BF00135956 FREDERIKSEN PC, 1994, J PEACE RES, V31, P11, DOI 10.1177/0022343394031001002 HARRIS G, 1988, J PEACE RES, V25, P165, DOI 10.1177/002234338802500205 HESS P, 1988, J DEV AREAS, V22, P497 Kollias C, 2011, APPL ECON LETT, V18, P1071, DOI 10.1080/13504851.2010.524606 Lin ES, 2015, DEFENCE PEACE ECON, V26, P33, DOI 10.1080/10242694.2013.848576 MINTZ A, 1989, AM POLIT SCI REV, V83, P1285, DOI 10.2307/1961669 Ozsoy O, 2002, DEFENCE PEACE ECON, V13, P129, DOI 10.1080/10430710290014738 PEROFF K, 1979, BRIT J POLIT SCI, V9, P21, DOI 10.1017/S0007123400001605 Peroff K., 1976, J SOCIOLOGY SOCIAL W, V4, P366 RUSSETT B, 1982, AM POLIT SCI REV, V76, P767, DOI 10.2307/1962969 RUSSETT BM, 1969, AM POLIT SCI REV, V63, P412, DOI 10.2307/1954697 VERNER JG, 1983, J DEV AREAS, V18, P77 Yildirim J, 2003, DEFENCE PEACE ECON, V14, P129, DOI 10.1080/1024269022000033961 Zhang Y., 2016, DEFENCE PEACE EC NR 25 TC 0 Z9 0 U1 1 U2 13 PU MDPI AG PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD JUL PY 2016 VL 8 IS 7 AR 655 DI 10.3390/su8070655 PG 13 WC GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DS4OM UT WOS:000380760400066 OA DOAJ Gold DA 2019-04-09 ER PT J AU Leipold, S Sotirov, M Frei, T Winkel, G AF Leipold, Sina Sotirov, Metodi Frei, Theresa Winkel, Georg TI Protecting "First world" markets and "Third world" nature: The politics of illegal logging in Australia, the European Union and the United States SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS LA English DT Article DE Global forest governance; Forest policy; Discursive agency; Legality verification; Trade policy ID FOREST LAW-ENFORCEMENT; VPA IMPLEMENTATION; REGIME COMPLEX; GOVERNANCE; LEGALITY; SUSTAINABILITY; CERTIFICATION; FLEGT; INDONESIA; CAMEROON AB Global forest governance has recently seen the emergence of a timber legality regime. In an aim to regulate global timber trade flows, the US, the EU and Australia adopted laws prohibiting illegally harvested timber from entering their markets. While some view this as a milestone for environmental and social stewardship in the global forest sector, the effects of the regime remain contested. In order to better understand likely effects of the regime, we apply the Discursive Agency Approach to analyze discursive dynamics of policy making among the stakeholders involved in the creation of each law and their effects on governance design and implementation. Based on 120 interviews in the US, Australia, the EU and with global organizations/institutions, as well as 19 informal conversations, 300 documents, and participant observation data, our results show that legality is a powerful concept in forest governance. Drawing attention away from sustainability, it enables discursive divides between the global North and South as well as between wood producers and importers. These divides were crucial for the emergence of the legality regime. While some forest industry groups perceived the new laws as an opportunity, others saw them as a threat. In all three regions this led to coalitions between supportive industry factions and environmental groups. These coalitions were based on a complementarity of goals; environmentalists aimed to protect "Third World" forests while industry groups aimed to protect "First World" markets against growing competition from these former regions. Yet each coalition was composed differently and employed distinct - albeit related - discursive strategies in policy making. This affected the design of each law and its implementation. The shift from sustainability towards legality re-surfaces prominently in implementation. Stakeholder discussions range from coercive "threatening" to more learning-oriented "educating" approaches. We conclude by discussing the effects these discursive struggles in Australia, the EU and the US have on the global timber legality regime. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Leipold, Sina; Sotirov, Metodi; Frei, Theresa; Winkel, Georg] Univ Freiburg, Forest & Environm Policy Grp, Inst Environm Social Sci & Geog, Tennenbacherstr 4, D-79106 Freiburg, Germany. [Winkel, Georg] European Forest Inst, Yliopistokatu 6, Joensuu 80100, Finland. RP Leipold, S (reprint author), Univ Freiburg, Forest & Environm Policy Grp, Inst Environm Social Sci & Geog, Tennenbacherstr 4, D-79106 Freiburg, Germany. EM Sina.Leipold@ifp.uni-freiburg.de; Metodi.Sotirov@ifp.uni-freiburg.de; Theresa.Frei@posteo.de; Georg.Winkel@efi.int FU German Research Foundation [PAK 813]; EU [282887]; Eva Mayr Stihl Foundation FX First of all, we are grateful to our interviewees for providing us insights into the policy-making processes. Without their willingness to share perspectives, this paper could not have been written. We warmly thank Maike Stelter for her great support in data collection and analysis for the EU case. We also thank the German Research Foundation (project 'Discursive fragmentation of the international forest regime complex' (PAK 813)), the 7th EU Framework Programme (Grant Agreement Nr. 282887: Integral project) and the Eva Mayr Stihl Foundation for their generous support of this work. Finally, we thank the three anonymous reviews of a first manuscript of this article as well as the participants of the Conference "Performing Forests: Reassessing, Reprioritizing and Managing Forests and Wood for Low Environmental Impact" at the Department of Geography, LMU-Munich, June 11-12, 2014 and the participants of the 2nd International Conference on Public Policy (ICPP), July 1-3, 2015, Milan, Italy, for their valuable comments. CR Akiva Fishman, 2014, REV EUR COMMUN INT E, V23 Arts B. J. M., 2010, IUFRO World Series, V28, P57 Arts B, 2006, ENVIRON POLICY, V47, P69, DOI 10.1007/1-4020-5079-8_4 Attah A, 2009, INT FOREST REV, V11, P311, DOI 10.1505/ifor.11.3.311 Australian Governement Government of Indonesia, 2014, COUNTR SPEC GUID IND Bartley T, 2014, REGUL GOV, V8, P93, DOI 10.1111/rego.12051 Bernstein S, 2012, INT AFF, V88, P585, DOI 10.1111/j.1468-2346.2012.01090.x Biermann F, 2012, EARTH SYST GOV, P1 Brack D., 2002, CONTROLLING INT TRAD, P1 BRACK D, 2005, REV EUROPEAN COMMUNI, V14, P28, DOI DOI 10.1111/J.1467-9388.2005.00421.X Carodenuto SL, 2014, INT FOREST REV, V16, P278, DOI 10.1505/146554814812572502 Carodenuto S, 2014, FOREST POLICY ECON, V48, P55, DOI 10.1016/j.forpol.2014.07.010 Cashore B, 2014, REGUL GOV, V8, P49, DOI 10.1111/rego.12053 Cashore B, 2012, FOREST POLICY ECON, V18, P13, DOI [10.1016/j.forpol.2011.12.005, 10.1016/j.forpol.2012.03.001] Ernesto Laclau, 1985, HEGEMONY SOCIALIST S European Commission, 2012, COMB ILL LOGG LESS E Fischer F., 1993, ARGUMENTATIVE TURN P FOUCAULT M, 1982, CRIT INQUIRY, V8, P777, DOI 10.1086/448181 Friends of the Earth WWF, 2009, FACT SHEET EU POLL I G8, 1998, G8 ACT PROGR FOR Gavrilut I, 2016, FORESTS, V7, DOI 10.3390/f7010003 Giessen L, 2013, INT FOREST REV, V15, P60, DOI 10.1505/146554813805927192 Greenpeace, 2007, PARTN CRIM DUTCH TIM GREENPEACE AUSTRALIA PACIFIC, 2011, SUBM SEN ILL LOGG IN Gulbrandsen LH, 2014, REGUL GOV, V8, P74, DOI 10.1111/rego.12005 Gupta A., TRANSPARENCY GLOBAL, P39 Hajer Maarten A., 2006, WORDS MATTER POLICY, P65 Haufler V, 2010, GLOBAL ENVIRON POLIT, V10, P53, DOI 10.1162/GLEP_a_00014 Hoare A., 2014, 24 ILL LOGG UPD STAK Humphreys D., 2006, LOGJAM DEFORESTATION Jaakko Poyry Consulting, 2005, OV ILL LOGG Kistenkas FH, 2013, GAIA, V22, P166, DOI 10.14512/gaia.22.3.7 Laclau Ernesto Mouffe Chantal, 1990, NEW REFLECTIONS REVO, P3 Leipold S., 2016, POLICY STUD IN PRESS Leipold S., 2013, 1 INT C PUBL POL ICP Leipold S, 2016, GLOBAL ENVIRON CHANG, V36, P35, DOI 10.1016/j.gloenvcha.2015.11.006 Leipold S, 2014, FOREST POLICY ECON, V40, P12, DOI 10.1016/j.forpol.2013.12.005 Lesniewska F., 2014, FOR POLICY EC, P1, DOI DOI 10.1016/J.FORPOL.2014.01.005 Levashova Y., 2011, REV EUROPEAN COMMUNI, V20, P290 Maarten Hajer, 1995, POLITICS ENV DISCOUR Marfo E, 2013, FOREST POLICY ECON, V32, P23, DOI 10.1016/j.forpol.2012.12.007 McDermott CL, 2015, FOREST POLICY ECON, V50, P134, DOI 10.1016/j.forpol.2014.05.011 McDermott CL, 2014, ENVIRON SCI POLICY, V35, P12, DOI 10.1016/j.envsci.2012.08.012 Mol APJ, 2015, SUSTAINABILITY-BASEL, V7, P12258, DOI 10.3390/su70912258 Moran D, 2015, J IND ECOL, V19, P357, DOI 10.1111/jiec.12206 Nathan I, 2014, FOREST POLICY ECON, V48, P1, DOI 10.1016/j.forpol.2014.11.001 Norman Fairclough, 2003, ANAL DISCOURSE TEXTU Norman Fairclough, 2005, NEW AGENDA CRITICAL, P53 Nurrochmata D.R., 2014, INDONESIA F IN PRESS Overdevest C., 2013, FOR POL EC, P1 Overdevest C, 2014, REGUL GOV, V8, P22, DOI 10.1111/j.1748-5991.2012.01133.x Partzsch L., 2016, FOREIGN ACCOUN UNPUB Pryce M, 2012, RUTGERS LAW REV, V65, P295 Rose G., FOLLOWING PROCEEDS E Royal Institute of International Affairs, 2003, STAK M ILL LOGG CONT Sahide MAK, 2015, LAND USE POLICY, V47, P408, DOI 10.1016/j.landusepol.2015.04.030 Saltzman R., 2008, MICH L REV 1 IMPR, V109, P1 Sarfaty GA, 2015, HARVARD INT LAW J, V56, P419 Schwer S., 2014, HOLZHANDEL SIEHT VOR, V11, P247 Seneca Creek Associates LLC, 2004, ILL LOGG GLOB WOOD M Sotirov M., 2015, POLICY SCI Sotirov M., 2016, POLITICS EU IN PRESS Sotirov M., 2014, INT FORESTRY REV, V16 Tanczos Francis G., 2011, RUTGERS LJ, V42, P549 Tegegne YT, 2014, INT FOREST REV, V16, P602, DOI 10.1505/146554814814095311 van Heeswijk L, 2013, FOREST POLICY ECON, V32, P6, DOI 10.1016/j.forpol.2012.10.009 Waite S., 2011, SEATTLE J ENV L, P317 Wiersum KF, 2013, FOREST POLICY ECON, V32, P1, DOI 10.1016/j.forpol.2013.04.011 Winkel G, 2016, POLICY STUD J, V44, P108, DOI 10.1111/psj.12136 Winkel G, 2012, FOREST POLICY ECON, V16, P81, DOI 10.1016/j.forpol.2010.11.009 Winkel Georg, 2013, THESIS Wodschow A, 2016, FOREST POLICY ECON, V63, P1, DOI 10.1016/j.forpol.2015.12.001 Yanow D, 2000, QUALITATIVE RES METH, DOI [10.4135/9781412983747, DOI 10.4135/9781412983747] NR 73 TC 6 Z9 7 U1 0 U2 20 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-3780 EI 1872-9495 J9 GLOBAL ENVIRON CHANG JI Glob. Environ. Change-Human Policy Dimens. PD JUL PY 2016 VL 39 BP 294 EP 304 DI 10.1016/j.gloenvcha.2016.06.005 PG 11 WC Environmental Sciences; Environmental Studies; Geography SC Environmental Sciences & Ecology; Geography GA DT0HS UT WOS:000381165100027 DA 2019-04-09 ER PT J AU Crookes, DJ Blignaut, JN AF Crookes, Douglas J. Blignaut, James N. TI A categorisation and evaluation of rhino management policies SO DEVELOPMENT SOUTHERN AFRICA LA English DT Article DE Rhino; economics; policy; property rights; tragedy of the commons ID PROTECTED AREAS; POPULATION DECLINES; LEGAL TRADE; COMMONS; TRAGEDY; MODEL; HORN; SUSTAINABILITY; CONSERVATION; FRAMEWORK AB Rhino populations are at a critical level and new approaches are needed to ensure their survival. This study conducts a review and categorisation of policies for the management of rhinos. Twenty-seven policies are identified and classified into in-situ (reserve-based) and ex-situ (market-based) policies. The policies are then evaluated based on four target areas: poachers/hunters, consumers, intermediaries and the game reserves themselves. The study finds that protected area management policies seem most beneficial in the short run, in particular the enforcement of private property rights over resource utilisation, as well as the establishment of wildlife sanctuaries that act as sustainable breeding grounds for rhino populations. C1 [Crookes, Douglas J.] Univ Pretoria, Dept Econ, Hatfield, South Africa. [Blignaut, James N.] Univ Pretoria, Dept Econ, Hatfield, South Africa. [Blignaut, James N.] SAEON, Pretoria, South Africa. RP Crookes, DJ (reprint author), Univ Pretoria, Dept Econ, Hatfield, South Africa. EM dcrookes@outlook.com RI Blignaut, James/U-1755-2017 OI Blignaut, James/0000-0001-7059-9010 FU National Research Foundation; Economic Research Southern Africa FX The authors gratefully acknowledge funding from the National Research Foundation as well as funding from Economic Research Southern Africa. CR Arcese P, 1997, J WILDLIFE MANAGE, V61, P587, DOI 10.2307/3802167 Bennett EL, 2000, BIOL RESOURCE MANAGE, P499 Biggs D, 2013, SCIENCE, V339, P1038, DOI 10.1126/science.1229998 Bulte EH, 2005, CONSERV BIOL, V19, P1222, DOI 10.1111/j.1523-1739.2005.00149.x Clark C.W., 1990, MATH BIOECONOMICS OP Collins A, 2013, SCIENCE, V340, P1167, DOI 10.1126/science.340.6137.1167-a Craigie ID, 2010, BIOL CONSERV, V143, P2221, DOI 10.1016/j.biocon.2010.06.007 Crookes DJ, 2006, S AFR J WILDL RES, V36, P159 Crookes DJ, 2016, S AFR J SCI, V112, P105 Crookes DJ, 2015, J NAT CONSERV, V28, P11, DOI 10.1016/j.jnc.2015.08.001 DEA (Department of Environmental Affairs), 2015, RHIN POACH STAT Di Minin E, 2015, CONSERV BIOL, V29, P545, DOI 10.1111/cobi.12412 Edwards MV, 1999, J ENVIRON POL PLAN, V1, P195 FEENY D, 1990, HUM ECOL, V18, P1, DOI 10.1007/BF00889070 Ferreira Sam M., 2014, S. Afr. j. sci., V110, P01 Ferreira SM, 2012, PACHYDERM, P52 Ferreira SM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0045989 Geldmann J, 2013, BIOL CONSERV, V161, P230, DOI 10.1016/j.biocon.2013.02.018 Gordon HS, 1954, J POLIT ECON, V62, P124, DOI 10.1086/257497 Hall RJ, 2008, CONSERV LETT, V1, P75, DOI 10.1111/j.1755-263X.2008.00013.x Hansen AJ, 2007, ECOL APPL, V17, P974, DOI 10.1890/05-1098 HARDIN G, 1968, SCIENCE, V162, P1243 Hardin G, 1998, SCIENCE, V280, P682, DOI 10.1126/science.280.5364.682 Kagande SM, 2014, BIODIVERS CONSERV, V23, P497, DOI 10.1007/s10531-013-0613-2 Kalron N, 2013, AFR SECUR REV, V22, P160, DOI 10.1080/10246029.2013.823795 Lindsey PA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0094109 Litchfield CA, 2013, SCIENCE, V340, P1168, DOI 10.1126/science.340.6137.1168-a McCullough DR, 1996, J WILDLIFE MANAGE, V60, P1, DOI 10.2307/3802033 McHenry TJP, 1993, UNASYLVA, V44, P46 Messer KD, 2010, ECOL ECON, V69, P2334, DOI 10.1016/j.ecolecon.2010.06.017 Milliken T., 2012, S AFRICA VIETNAM RHI Milner-Gulland E.J., 1992, P195 Milner-Gulland EJ, 1999, ANIM CONSERV, V2, P137, DOI 10.1111/j.1469-1795.1999.tb00059.x Ostrom E, 1999, SCIENCE, V284, P278, DOI 10.1126/science.284.5412.278 Sas-Rolfes M, 2014, PACHYDERM, P62 SCHAEFER MB, 1957, J FISH RES BOARD CAN, V14, P669, DOI 10.1139/f57-025 Traill LW, 2010, BIOL CONSERV, V143, P28, DOI 10.1016/j.biocon.2009.09.001 Wilkie DS, 1999, BIODIVERS CONSERV, V8, P927, DOI 10.1023/A:1008877309871 Zunckel Kevan, 2014, SO AFRICAN DEV COMMU NR 39 TC 3 Z9 3 U1 6 U2 39 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0376-835X EI 1470-3637 J9 DEV SO AFR JI Dev. South. Afr. PD JUL PY 2016 VL 33 IS 4 BP 459 EP 469 DI 10.1080/0376835X.2016.1179100 PG 11 WC Development Studies; Regional & Urban Planning SC Development Studies; Public Administration GA DT5DM UT WOS:000381501100003 DA 2019-04-09 ER PT J AU Morris, RA Johnson, M Venable, KB Lindsey, J AF Morris, Robert A. Johnson, Matthew Venable, K. Brent Lindsey, James TI Designing Noise-Minimal Rotorcraft Approach Trajectories SO ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY LA English DT Article DE Path planning; optimization; rotorcraft noise reduction; sustainability ID PROBABILISTIC ROADMAPS; SEARCH AB NASA and the international aviation community are investing in the development of a commercial transportation infrastructure that includes the increased use of rotorcraft, specifically helicopters and civil tilt rotors. However, there is significant concern over the impact of noise on the communities surrounding the transportation facilities. One way to address the rotorcraft noise problem is by exploiting powerful search techniques coming from artificial intelligence to design low-noise flight profiles that can be then validated though field tests. This article investigates the use of discrete heuristic search methods to design low-noise approach trajectories for rotorcraft. Our work builds on a long research tradition in trajectory optimization using either numerical methods or discrete search. Novel features of our approach include the use of a discrete search space with a resolution that can be varied, and the coupling of search with a robust simulator to evaluate candidates. The article includes a systematic comparison of different search techniques; in particular, in the experiments, we are able to do a trade study that compares complete search algorithms such as A* with faster but approximate methods such as local search. C1 [Morris, Robert A.; Lindsey, James] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA. [Johnson, Matthew] Florida Inst Human & Machine Cognit, 40 S Alcaniz St, Pensacola, FL 32502 USA. [Venable, K. Brent] Florida Inst Human & Machine Cognit, 15 SE Osceola Ave, Ocala, FL 34471 USA. [Morris, Robert A.; Lindsey, James] Ames Res Ctr, Moffett Field, CA 94035 USA. RP Morris, RA (reprint author), NASA, Ames Res Ctr, Moffett Field, CA 94035 USA.; Morris, RA (reprint author), Ames Res Ctr, Moffett Field, CA 94035 USA. EM robert.a.morris@nasa.gov; mjohnson@ihmc.us; kvenable@ihmc.us; james.e.lindsey@nasa.gov FU NASA FX This work is supported by NASA. CR Atkins E., 2004, J AEROSPACE COMPUTIN, V1, P269, DOI DOI 10.2514/1.3924 Betts JT, 1998, J GUID CONTROL DYNAM, V21, P193, DOI 10.2514/2.4231 Booker A., 1998, 9847 NASA Bryson AE, 1975, APPL OPTIMAL CONTROL Cheng P., 2002, P IEEE INT C ROB AUT, P267 Conner DA, 2006, P 62 ANN FOR AM HEL, P1 Fahroo F., 2007, AIAA AAS ASTR SPEC C Federal Aviation Administration, 2007, TECHNICAL REPORT Federal Interagency Committee on Noise, 1992, TECHNICAL REPORT FERGUSON D, 2005, CMURITR0519 Goplan G., 2003, P 59 AHS INT FOR TEC, P1 Hoos H. H., 2004, STOCHASTIC LOCAL SEA Horn H. J., 1965, APPL ITERATIVE GUIDA Kavraki LE, 1998, IEEE T ROBOTIC AUTOM, V14, P166, DOI 10.1109/70.660866 LaValle S., 2006, PLANNING ALGORITHMS LaValle SM, 2004, INT J ROBOT RES, V23, P673, DOI 10.1177/0278364904045481 Mengshoel OJ, 2008, ARTIF INTELL, V172, P955, DOI 10.1016/j.artint.2007.09.010 Morris R. A., 2012, P 68 AM HEL SOC ANN Morris R. A., 2013, P SCHED PLANN APPL W Morris R. A., 2012, P 24 C INN APPL ART Morris R. A., 2012, P IEEE 2012 AER C Padula S. L., 2009, NASATM215771 LANGL R Page J., 2007, 0704 WR NASA LANGL R Pettersson PO, 2006, J INTELL FUZZY SYST, V17, P395 Schmitz FH, 2002, J AIRCRAFT, V39, P193, DOI 10.2514/2.2923 Venable K. B., 2014, P SCHED PLANN APPL W Xue M, 2006, J AIRCRAFT, V43, P39, DOI 10.2514/1.15692 Xue M., 2006, P 44 AIAA AER SCI M Xue M., 2006, THESIS NR 29 TC 0 Z9 0 U1 2 U2 7 PU ASSOC COMPUTING MACHINERY PI NEW YORK PA 2 PENN PLAZA, STE 701, NEW YORK, NY 10121-0701 USA SN 2157-6904 EI 2157-6912 J9 ACM T INTEL SYST TEC JI ACM Trans. Intell. Syst. Technol. PD JUL PY 2016 VL 7 IS 4 SI SI AR 58 DI 10.1145/2838738 PG 25 WC Computer Science, Artificial Intelligence; Computer Science, Information Systems SC Computer Science GA DS0YG UT WOS:000380322200015 DA 2019-04-09 ER PT J AU Schueler, V Fuss, S Steckel, JC Weddige, U Beringer, T AF Schueler, Vivian Fuss, Sabine Steckel, Jan Christoph Weddige, Ulf Beringer, Tim TI Productivity ranges of sustainable biomass potentials from non-agricultural land SO ENVIRONMENTAL RESEARCH LETTERS LA English DT Article DE bioenergy; sustainability; productivity; spatial analysis ID SHORT-ROTATION COPPICE; DEGRADED LANDS; TRADE-OFFS; BIO-ENERGY; BIOENERGY; AGRICULTURE; INTENSIFICATION; DEFORESTATION; EMISSIONS; RESOURCE AB Land is under pressure from a number of demands, including the need for increased supplies of bioenergy. While bioenergy is an important ingredient in many pathways compatible with reaching the 2 degrees C target, areas where cultivation of the biomass feedstock would be most productive appear to co-host other important ecosystems services. We categorize global geo-data on land availability into productivity deciles, and provide a geographically explicit assessment of potentials that are concurrent with EU sustainability criteria. The deciles unambiguously classify the global productivity range of potential land currently not in agricultural production for biomass cultivation. Results show that 53 exajoule (EJ) sustainable biomass potential are available from 167 million hectares (Mha) with a productivity above 10 tons of dry matter per hectare and year (tD Mha(-1) a(-1)), while additional 33 EJ are available on 264 Mha with yields between 4 and 10 tD Mha(-1) a(-1) : some regions lose less of their highly productive potentials to sustainability concerns than others and regional contributions to bioenergy potentials shift when less productive land is considered. Challenges to limit developments to the exploitation of sustainable potentials arise in Latin America, Africa and Developing Asia, while new opportunities emerge for Transition Economies and OECD countries to cultivate marginal land. C1 [Schueler, Vivian; Fuss, Sabine; Steckel, Jan Christoph; Weddige, Ulf] Mercator Res Inst Global Commons & Climate Change, Torgauer Str 12-14, D-10829 Berlin, Germany. [Steckel, Jan Christoph] Tech Univ Berlin, Str 17 Juni 145, D-10623 Berlin, Germany. [Steckel, Jan Christoph] Potsdam Inst Climate Impact Res, POB 60 12 03, D-14412 Potsdam, Germany. [Beringer, Tim] Inst Adv Sustainabil Studies, Berliner Str 130, D-14467 Potsdam, Germany. RP Fuss, S (reprint author), Mercator Res Inst Global Commons & Climate Change, Torgauer Str 12-14, D-10829 Berlin, Germany. EM fuss@mcc-berlin.net CR Aylott MJ, 2008, NEW PHYTOL, V178, P358, DOI 10.1111/j.1469-8137.2008.02396.x Baral A, 2004, BIOMASS BIOENERG, V27, P41, DOI 10.1016/j.biombioe.2003.11.004 Batidzirai B, 2012, RENEW SUST ENERG REV, V16, P6598, DOI 10.1016/j.rser.2012.09.002 Beringer T, 2011, GCB BIOENERGY, V3, P299, DOI 10.1111/j.1757-1707.2010.01088.x Bottcher H, 2013, BIOFUEL BIOPROD BIOR, V7, P115, DOI 10.1002/bbb.1369 Bondeau A, 2007, GLOBAL CHANGE BIOL, V13, P679, DOI 10.1111/j.1365-2486.2006.01305.x Buchholz TS, 2007, ENERG POLICY, V35, P6084, DOI 10.1016/j.enpol.2007.08.020 Chazdon RL, 2008, SCIENCE, V320, P1458, DOI 10.1126/science.1155365 Clifton-Brown JC, 2004, GLOBAL CHANGE BIOL, V10, P509, DOI 10.1111/j.1529-8817.2003.00749.x Creutzig F, 2015, GCB BIOENERGY, V7, P916, DOI 10.1111/gcbb.12205 Dowell RC, 2009, FOREST ECOL MANAG, V257, P134, DOI 10.1016/j.foreco.2008.08.023 Edwards R, 2010, 59771 JRC EUR COMM, P59771 Fargione J, 2008, SCIENCE, V319, P1235, DOI 10.1126/science.1152747 Field CB, 2008, TRENDS ECOL EVOL, V23, P65, DOI 10.1016/j.tree.2007.12.001 Fischer J, 2014, CONSERV LETT, V7, P149, DOI 10.1111/conl.12084 Frank S, 2013, GCB BIOENERGY, V5, P306, DOI 10.1111/j.1757-1707.2012.01188.x Friend AD, 2014, P NATL ACAD SCI USA, V111, P3280, DOI 10.1073/pnas.1222477110 Fuss S, 2015, TECHNOL FORECAST SOC, V98, P223, DOI 10.1016/j.techfore.2015.03.019 Garnett T, 2013, SCIENCE, V341, P33, DOI 10.1126/science.1234485 Gibbs HK, 2015, APPL GEOGR, V57, P12, DOI 10.1016/j.apgeog.2014.11.024 Goldewijk KK, 2011, GLOBAL ECOL BIOGEOGR, V20, P73, DOI 10.1111/j.1466-8238.2010.00587.x Greene Nathanael, 2004, GROWING ENERGY BIOFU Haberl H, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/031004 Haberl H, 2010, CURR OPIN ENV SUST, V2, P394, DOI 10.1016/j.cosust.2010.10.007 Havlik P, 2011, ENERG POLICY, V39, P5690, DOI 10.1016/j.enpol.2010.03.030 Intergovernmental Panel Climate Change Working Grp III, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P1 Klein D, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/7/074017 Kraxner F, 2013, BIOMASS BIOENERG, V57, P86, DOI 10.1016/j.biombioe.2013.02.003 Lambin EF, 2013, GLOBAL ENVIRON CHANG, V23, P892, DOI 10.1016/j.gloenvcha.2013.05.005 Lotze-Campen H, 2014, AGR ECON-BLACKWELL, V45, P103, DOI 10.1111/agec.12092 Newbold T, 2015, NATURE, V520, P45, DOI 10.1038/nature14324 Niedertscheider M, 2016, ENVIRON RES LETT, V11, DOI 10.1088/1748-9326/11/1/014008 Nijsen M, 2012, GCB BIOENERGY, V4, P130, DOI 10.1111/j.1757-1707.2011.01121.x Pellis A, 2004, BIOMASS BIOENERG, V27, P9, DOI 10.1016/j.biombioe.2003.11.001 Popp A, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034017 Reilly J, 2012, ENVIRON SCI TECHNOL, V46, P5672, DOI 10.1021/es2034729 Rose SK, 2012, ENERG ECON, V34, P365, DOI 10.1016/j.eneco.2011.06.004 Schmitz C, 2014, AGR ECON-BLACKWELL, V45, P69, DOI 10.1111/agec.12090 Schueler Vivian, 2013, GCB Bioenergy, V5, P652, DOI 10.1111/gcbb.12036 Searchinger T D, 2010, ENVIRON RES LETT, V5 Searchinger T D, 2008, BIOFUELS Searle SY, 2014, BIOMASS BIOENERG, V65, P3, DOI 10.1016/j.biombioe.2014.01.001 Slade R, 2014, NAT CLIM CHANGE, V4, P99, DOI [10.1038/NCLIMATE2097, 10.1038/nclimate2097] Smeets EMW, 2007, PROG ENERG COMBUST, V33, P56, DOI 10.1016/j.pecs.2006.08.001 Smith P, 2008, PHILOS T R SOC B, V363, P789, DOI 10.1098/rstb.2007.2184 Stape JL, 2010, FOREST ECOL MANAG, V259, P1684, DOI 10.1016/j.foreco.2010.01.012 Tilman D, 2006, SCIENCE, V314, P1598, DOI 10.1126/science.1133306 Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108 Wehkamp J, 2015, FOREST POLICY ECON, V59, P7, DOI 10.1016/j.forpol.2015.05.005 NR 49 TC 2 Z9 2 U1 1 U2 17 PU IOP PUBLISHING LTD PI BRISTOL PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND SN 1748-9326 J9 ENVIRON RES LETT JI Environ. Res. Lett. PD JUL PY 2016 VL 11 IS 7 AR 074026 DI 10.1088/1748-9326/11/7/074026 PG 8 WC Environmental Sciences; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences GA DS5JD UT WOS:000380817000026 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Radics, RI Dasmohapatra, S Kelley, SS AF Radics, Robert I. Dasmohapatra, Sudipta Kelley, Stephen S. TI Use of linear programming to -optimize the social, -environmental, and economic impacts of using woody feedstocks for pellet and -torrefied pellet production SO BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR LA English DT Article DE bioenergy; linear programming; optimization; sustainability; woody biomass; pellets; torrefied pellet ID BIOENERGY SYSTEMS; DEBRIS RETENTION; CLIMATE-CHANGE; TRADE; SUSTAINABILITY; RESIDUES; BIOFUELS; HEALTH; MARKET; COSTS AB Linear programming was used to optimize the economic, environmental, and social impacts of forest biomass used for bioenergy production. Sixteen scenarios (combinations of feedstocks, products, markets, and end use) were studied. Two feedstocks (roundwood and wood residues), two densified bioenergy products (white pellet, torrefied pellet), two markets (domestic, international), and two end uses (power generation, district heating) were evaluated. The social, environmental, and economic sustainability attributes were quantified and monetized using peer-reviewed literature to analyze the trade-offs. Using the economic criteria alone, the model showed that the best solution was use of 70% roundwood and 30% forest residue feedstock to produce torrefied pellets (TP) sold for district heating in the EU. The model predicts $5.4 million annual profit which is driven by the use of lower cost forest residue feedstocks, and relatively higher prices for the heating market in the EU. Inclusion of all three sustainability attributes led to a different optimized solution. TP produced from roundwood and sold to the EU market for heating was the optimum, due to the social benefits derived from increased local income to landowners and reduced shipping costs. It also had added benefits of reductions in emissions across the transportation system on an energy basis. TP consistently had higher social benefits than WP due to the need for more biomass per unit of final product, and providing more local jobs and income from feedstock production. The increasing costs of carbon emissions increased the environmental benefits of TP compared to WP or coal. (c) 2016 Society of Chemical Industry and John Wiley & Sons, Ltd C1 [Radics, Robert I.; Kelley, Stephen S.] North Carolina State Univ, Forest Biomat, Raleigh, NC USA. [Dasmohapatra, Sudipta] North Carolina State Univ, Raleigh, NC USA. RP Kelley, SS (reprint author), North Carolina State Univ, Dept Forest Biomat, Campus Box 8005, Raleigh, NC USA. EM sskelley@ncsu.edu RI Radics, Robert/L-9687-2016 OI Radics, Robert/0000-0002-3782-3532 FU USDA Integrated Biomass Supply Systems (IBSS) project; Agriculture and Food Research Initiative Competitive Grant from the USDA National Institute of Food and Agriculture [2011-68005-30410] FX The authors thank the USDA Integrated Biomass Supply Systems (IBSS) project for funding. The IBSS project is supported by Agriculture and Food Research Initiative Competitive Grant no. 2011-68005-30410 from the USDA National Institute of Food and Agriculture. CR Abt RC, 2010, BIOMASS BIOENERG, V34, P1679, DOI 10.1016/j.biombioe.2010.05.007 Bergman P., 2005, COMBINED TORREFACTIO Carnbero C, 2014, RENEW SUST ENERG REV, V36, P62, DOI 10.1016/j.rser.2014.04.041 Cucek L, 2012, ENERGY, V44, P135, DOI 10.1016/j.energy.2012.01.040 Dale VH, 2013, ECOL INDIC, V26, P87, DOI 10.1016/j.ecolind.2012.10.014 Elghali L, 2007, ENERG POLICY, V35, P6075, DOI 10.1016/j.enpol.2007.08.036 EPA U, 2015, WOOD RES COMB BOIL EPA U, 2015, SOC COSTS CARB Fraas A, 2012, AM ECON REV, V102, P602, DOI 10.1257/aer.102.1.602 Fritts SR, 2015, FOREST ECOL MANAG, V336, P35, DOI 10.1016/j.foreco.2014.10.009 Fritts SR, 2014, BIOMASS BIOENERG, V70, P382, DOI 10.1016/j.biombioe.2014.08.010 Fuchigami Y, 2016, J WOOD SCI, V62, P93, DOI 10.1007/s10086-015-1515-6 Gan JB, 2007, BIOMASS BIOENERG, V31, P623, DOI 10.1016/j.biombioe.2007.06.027 Gerber N, 2008, BIOENERGY RURAL DEV Goh CS, 2013, BIOFUEL BIOPROD BIOR, V7, P24, DOI 10.1002/bbb.1366 Hill J, 2009, P NATL ACAD SCI USA, V106, P2077, DOI 10.1073/pnas.0812835106 Irena, 2012, POW GEN BIOM WIND PO Johnson E, 2009, ENVIRON IMPACT ASSES, V29, P165, DOI 10.1016/j.eiar.2008.11.002 Lamers P, 2015, GCB BIOENERGY, V7, P618, DOI 10.1111/gcbb.12162 Lamers P, 2012, RENEW SUST ENERG REV, V16, P3176, DOI 10.1016/j.rser.2012.02.027 Magelli F, 2009, BIOMASS BIOENERG, V33, P434, DOI 10.1016/j.biombioe.2008.08.016 Manara P, 2014, SUSTAIN ENERGY TECHN, V8, P159, DOI 10.1016/j.seta.2014.08.007 Mathews JA, 2008, ENERG POLICY, V36, P940, DOI 10.1016/j.enpol.2007.11.029 Matthews HS, 2000, ENVIRON SCI TECHNOL, V34, P1390, DOI 10.1021/es9907313 McBride AC, 2011, ECOL INDIC, V11, P1277, DOI 10.1016/j.ecolind.2011.01.010 McConnell TE, 2015, CAROLINAS FORESTS FO Pirraglia A, 2013, BIOENERG RES, V6, P263, DOI 10.1007/s12155-012-9255-6 Pirraglia A, 2010, BIORESOURCES, V5, P2374 Resch G, 2008, ENERG POLICY, V36, P4048, DOI 10.1016/j.enpol.2008.06.029 RISI, 2015, N AM WOODF BIOM MARK Sacchelli S, 2014, J CLEAN PROD, V66, P431, DOI 10.1016/j.jclepro.2013.11.059 Scott JA, 2012, ENERGY, V42, P146, DOI 10.1016/j.energy.2012.03.074 Spath PL, 2015, LIFE CYCLE ASSESSMEN Stavins RN, 2008, HARVARD ENVIRON LAW, V32, P293 Trasande L, 2005, ENVIRON HEALTH PERSP, V113, P590, DOI 10.1289/ehp.7743 U.S. Department of Energy, 2011, BILL TON UPD BIOM SU Wuehlisch W-C von, 2011, THESIS Yifei Qian WM, 2013, WOOD PELLET VALUE CH Yoshida T, 2015, J SUSTAINABLE BIOENE, V5, P82 NR 39 TC 1 Z9 1 U1 2 U2 21 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1932-104X EI 1932-1031 J9 BIOFUEL BIOPROD BIOR JI Biofuels Bioprod. Biorefining PD JUL-AUG PY 2016 VL 10 IS 4 BP 446 EP 461 DI 10.1002/bbb.1658 PG 16 WC Biotechnology & Applied Microbiology; Energy & Fuels SC Biotechnology & Applied Microbiology; Energy & Fuels GA DR5CA UT WOS:000379919400011 DA 2019-04-09 ER PT J AU Schnittfeld, NL Busch, T AF Schnittfeld, Nicole Luisa Busch, Timo TI Sustainability Management within Supply Chains - A Resource Dependence View SO BUSINESS STRATEGY AND THE ENVIRONMENT LA English DT Article DE logistics services; supplier management; resource dependence; business case; trade-offs ID CORPORATE SOCIAL-RESPONSIBILITY; ENVIRONMENTAL SUSTAINABILITY; PERFORMANCE; TRUST; POWER; ORGANIZATIONS; CAPABILITIES; PERSPECTIVE; PROVIDER AB Proceeding from three basic concepts of resource dependence theory - organizational effectiveness, interdependence and external control - we conducted a multiple-case study to investigate factors that facilitate and hinder sustainability management within supply chains. Our empirical observations highlight that focal firms do not necessarily transfer their own corporate sustainability agendas into control mechanisms for managing the sustainability of their suppliers. Based on this insight, we develop a new theory that explains how intra- and interorganizational sustainability management is affected by a firm's business case for promoting sustainability, control mechanisms, trade-offs, trust and market liberalization. The theory offers new insights into drivers and barriers for effective interorganizational sustainability management, whereas previous theories could not fully explain the reasons for diverging sustainability management practices in supply chains. Copyright (c) 2015 John Wiley & Sons, Ltd and ERP Environment C1 [Schnittfeld, Nicole Luisa] Univ St Gallen, Logist Management, St Gallen, Switzerland. [Busch, Timo] Univ Hamburg, Sch Business Econ & Social Sci, Hamburg, Germany. RP Busch, T (reprint author), Univ Hamburg, Sch Business Econ & Social Sci, Hamburg, Germany. EM timo.busch@wiso.uni-hamburg.de RI Busch, Timo/A-9558-2017 OI Busch, Timo/0000-0001-6405-5252 CR Anderson EJ, 2011, J SUPPLY CHAIN MANAG, V47, P97, DOI 10.1111/j.1745-493X.2011.03223.x Aragon-Correa JA, 2003, ACAD MANAGE REV, V28, P71 Bansal P, 2005, STRATEGIC MANAGE J, V26, P197, DOI 10.1002/smj.441 Cai SH, 2008, J SUPPLY CHAIN MANAG, V44, P55, DOI 10.1111/j.1745-493X.2008.00045.x Campbell JL, 2007, ACAD MANAGE REV, V32, P946 Carroll AB, 2010, INT J MANAG REV, V12, P85, DOI 10.1111/j.1468-2370.2009.00275.x Carter CR, 2011, INT J PHYS DISTR LOG, V41, P46, DOI 10.1108/09600031111101420 Carter CR, 2008, INT J PHYS DISTR LOG, V38, P360, DOI 10.1108/09600030810882816 Casciaro T, 2005, ADMIN SCI QUART, V50, P167, DOI 10.2189/asqu.2005.50.2.167 Chu ZF, 2012, J SUPPLY CHAIN MANAG, V48, P78, DOI 10.1111/j.1745-493X.2011.03259.x Dacin MT, 2007, STRATEGIC MANAGE J, V28, P169, DOI 10.1002/smj.577 Dyllick Thomas, 2002, BUSINESS STRATEGY EN, V11, P130, DOI DOI 10.1002/BSE.323 Eisenhardt KM, 2007, ACAD MANAGE J, V50, P25, DOI 10.5465/AMJ.2007.24160888 EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557 Elkington J., 1997, TRIPLE BOTTOM LINE 2 EMERSON RM, 1962, AM SOCIOL REV, V27, P31, DOI 10.2307/2089716 Friedman M, 1970, NY TIMES, V9, P122 George A. L., 2004, CASE STUDIES THEORY Gibbert M, 2008, STRATEGIC MANAGE J, V29, P1465, DOI 10.1002/smj.722 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Handfield R. B., 2004, International Journal of Integrated Supply Management, V1, P3, DOI 10.1504/IJISM.2004.004595 Hass J. H., 1996, BUSINESS STRATEGY EN, P59, DOI DOI 10.1002/(SICI)1099-0836(199606)5:23.0.CO;2-P Foreman P, 2002, ORGAN SCI, V13, P618, DOI 10.1287/orsc.13.6.618.493 Griskevicius V, 2010, J PERS SOC PSYCHOL, V98, P392, DOI 10.1037/a0017346 Haslam S. A., 2001, PSYCHOL ORG SOCIAL I Hogg MA, 2000, ACAD MANAGE REV, V25, P121, DOI 10.2307/259266 Hogg MA, 1995, SOC PSYCHOL QUART, V58, P255, DOI 10.2307/2787127 Homburg C, 2009, J MARKETING, V73, P64, DOI 10.1509/jmkg.73.4.64 Hu LT, 1999, STRUCT EQU MODELING, V6, P1, DOI 10.1080/10705519909540118 Kaiser FG, 1999, J ENVIRON PSYCHOL, V19, P1, DOI 10.1006/jevp.1998.0107 Kaiser FG, 2007, J ENVIRON PSYCHOL, V27, P242, DOI 10.1016/j.jenvp.2007.06.004 Kareklas I, 2014, J ADVERTISING, V43, P18, DOI 10.1080/00913367.2013.799450 Kelman H. C., 1961, AM J POLIT SCI, V25, P57 Kreiner GE, 2004, J ORGAN BEHAV, V25, P1, DOI 10.1002/job.234 Krystallis A, 2005, BRIT FOOD J, V107, P320, DOI 10.1108/00070700510596901 Ladhari R, 2015, J CLEAN PROD, V87, P469, DOI 10.1016/j.jclepro.2014.10.068 Laroche M, 2001, J CONSUM MARK, V18, P503, DOI 10.1108/EUM0000000006155 MAEL F, 1992, J ORGAN BEHAV, V13, P103, DOI 10.1002/job.4030130202 Magnusson MK, 2003, APPETITE, V40, P109, DOI 10.1016/S0195-6663(03)00002-3 Mannetti L, 2004, J ENVIRON PSYCHOL, V24, P227, DOI 10.1016/j.jenvp.2004.01.002 Miniero G, 2014, INT J CONSUM STUD, V38, P521, DOI 10.1111/ijcs.12128 Murtagh N, 2012, J ENVIRON PSYCHOL, V32, P318, DOI 10.1016/j.jenvp.2012.05.008 Murtagh N, 2012, TRANSPORT RES F-TRAF, V15, P514, DOI 10.1016/j.trf.2012.05.002 Nigbur D, 2010, BRIT J SOC PSYCHOL, V49, P259, DOI 10.1348/014466609X449395 Ozcaglar-Toulouse N., 2006, International Journal of Consumer Studies, V30, P502, DOI 10.1111/j.1470-6431.2006.00532.x Podsakoff PM, 2003, J APPL PSYCHOL, V88, P879, DOI 10.1037/0021-9101.88.5.879 Ramarajan L, 2014, ACAD MANAG ANN, V8, P589, DOI 10.1080/19416520.2014.912379 Reade C, 2001, INT J HUM RESOUR MAN, V12, P1269, DOI 10.1080/09585190110083794 Reed A, 2012, INT J RES MARK, V29, P310, DOI 10.1016/j.ijresmar.2012.08.002 Riketta M, 2005, J VOCAT BEHAV, V67, P490, DOI 10.1016/j.jvb.2004.06.001 Robinson R, 2002, J NUTR EDUC BEHAV, V34, P316, DOI 10.1016/S1499-4046(06)60114-0 Schermelleh-Engel K., 2003, METHODS PSYCHOL RES, V8, P23, DOI DOI 10.1002/0470010940 Schumacker RE, 2004, BEGINNERS GUIDE STRU Sen S, 2001, J MARKETING RES, V38, P225, DOI 10.1509/jmkr.38.2.225.18838 SIRGY MJ, 1982, J CONSUM RES, V9, P287, DOI 10.1086/208924 SPARKS P, 1992, SOC PSYCHOL QUART, V55, P388, DOI 10.2307/2786955 Steenkamp JBEM, 1998, J CONSUM RES, V25, P78, DOI 10.1086/209528 STRYKER S, 1968, J MARRIAGE FAM, V30, P558, DOI 10.2307/349494 Stryker S, 2000, SOC PSYCHOL QUART, V63, P284, DOI 10.2307/2695840 Sunderer G, 2012, INT J CONSUM STUD, V36, P244, DOI 10.1111/j.1470-6431.2011.01087.x TAJFEL H, 1978, STUDIES SOCIAL PSYCH, P61 Tajfel H., 1972, CONTEXT SOCIAL PSYCH Tajfel H., 1979, SOCIAL PSYCHOL INTER, P33, DOI DOI 10.1016/S0065-2601(05)37005-5 Terry DJ, 1999, BRIT J SOC PSYCHOL, V38, P225, DOI 10.1348/014466699164149 Thogersen J, 2006, J APPL SOC PSYCHOL, V36, P1758, DOI 10.1111/j.0021-9029.2006.00080.x Tian KT, 2001, J CONSUM RES, V28, P50, DOI 10.1086/321947 TROPP LR, 1999, PERSONALITY SOCIAL P, V5, P585 Ullman J. B., 2001, USING MULTIVARIATE S vansKnippenberg D., 2000, J OCCUPATIONAL ORG P, V73, P137, DOI DOI 10.1348/096317900166949 Verain MCD, 2012, INT J CONSUM STUD, V36, P123, DOI 10.1111/j.1470-6431.2011.01082.x Vermeir I, 2006, J AGR ENVIRON ETHIC, V19, P169, DOI 10.1007/s10806-005-5485-3 Whitmarsh L, 2010, J ENVIRON PSYCHOL, V30, P305, DOI 10.1016/j.jenvp.2010.01.003 NR 69 TC 3 Z9 3 U1 0 U2 29 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1470-6423 EI 1470-6431 J9 INT J CONSUM STUD JI Int. J. Consum. Stud. PD JUL PY 2016 VL 40 IS 4 BP 444 EP 452 DI 10.1111/ijcs.12269 PG 9 WC Business SC Business & Economics GA DP5UU UT WOS:000378564200006 DA 2019-04-09 ER PT J AU Abdallah, M El-Rayes, K AF Abdallah, Moatassem El-Rayes, Khaled TI Multiobjective Optimization Model for Maximizing Sustainability of Existing Buildings SO JOURNAL OF MANAGEMENT IN ENGINEERING LA English DT Article ID RESIDENTIAL BUILDINGS; ENERGY-CONSUMPTION; GENETIC-ALGORITHM; RETROFIT STRATEGIES; DESIGN OPTIMIZATION; ENVELOPE DESIGN; EMISSIONS; SYSTEM; CONSTRUCTION; DWELLINGS AB Aging buildings in the United States represent 70% of existing buildings, and they are often in urgent need of upgrades to improve their operational, economic, and environmental performance. Recent studies reported the need for and significance of improving the sustainability of existing buildings to stabilize and reduce their greenhouse gas emissions and minimize their negative environmental impacts. This can be accomplished by integrating sustainable upgrade measures in existing buildings to improve their energy efficiency, water consumption, material recycling, waste reduction, lifecycle, and indoor environment. These upgrade measures include energy-efficient lighting and HVAC systems, renewable energy systems, water-saving plumbing fixtures, and sustainable management of building solid waste. Decision makers often need to identify an optimal set of these upgrade measures capable of maximizing the sustainability of their buildings while complying with limited upgrade budgets and building functional requirements. To support decision makers in this critical and challenging task, this paper presents the development of a multiobjective optimization model for maximizing the sustainability of existing buildings. The optimization model is designed to generate optimal trade-offs among the three sustainability objectives of (1)minimizing building negative environmental impacts that include greenhouse gas emissions, refrigerant impacts, mercury-vapor emissions, light pollution, and water consumption; (2)minimizing building upgrade cost; and (3)maximizing the number of earned points of the Leadership in Energy and Environmental Design rating system for existing buildings (LEED-EB). The computations of the developed model are performed using a nondominated sorting genetic algorithm (NSGAII) because of its capability of handling multiobjective optimization problems and nonlinearity and step changes in the model objective functions and constraints. The model performance was evaluated using a case study of an existing public building, and the results illustrated the unique and practical capabilities of the developed model in generating optimal trade-offs among the previously mentioned three optimization objectives. These capabilities are expected to support building owners and facility managers in their ongoing efforts to achieve green building certification and to promote the use of cost-effective green upgrade measures in existing buildings. C1 [Abdallah, Moatassem] Univ Colorado, Dept Civil Engn, Denver, CO 80202 USA. [Abdallah, Moatassem] Cairo Univ, Dept Struct Engn, Cairo, Egypt. [El-Rayes, Khaled] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA. RP El-Rayes, K (reprint author), Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA. EM moatassem.abdallah@ucdenver.edu; elrayes@illinois.edu CR Abdallah M., 2014, OPTIMIZING SELECTION Aktas B., 2015, J MANAGE ENG, DOI DOI 10.1061/(ASCE)ME.1943-5479.0000358,05015002 Alborzfard N., 2012, ASS ADVANCEMENT COST, P1126 Arif F., 2015, J MANAGE ENG, V32 Asadi E, 2012, BUILD ENVIRON, V56, P370, DOI 10.1016/j.buildenv.2012.04.005 Asadi E, 2012, ENERG BUILDINGS, V44, P81, DOI 10.1016/j.enbuild.2011.10.016 Bastian ND, 2011, EMJ-ENG MANAG J, V23, P42, DOI 10.1080/10429247.2011.11431894 Bichiou Y, 2011, ENERG BUILDINGS, V43, P3373, DOI 10.1016/j.enbuild.2011.08.031 Castro-Lacouture D, 2009, BUILD ENVIRON, V44, P1162, DOI 10.1016/j.buildenv.2008.08.009 Chantrelle FP, 2011, APPL ENERG, V88, P1386, DOI 10.1016/j.apenergy.2010.10.002 Chapman P., 2009, WIND POWERED ELECT S Chiasson AD, 2006, LIFE CYCLE COST STUD D'Souza B, 2003, ENG OPTIMIZ, V35, P1, DOI 10.1080/0305215031000069663 Das P, 2013, BUILD ENVIRON, V66, P72, DOI 10.1016/j.buildenv.2013.03.021 Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017 Deb K., 2005, REAL CODED GENETIC A El-Rayes K., 2013, GREEN FRIENDLY BEST Environ International Corporation, 2013, CAL EM EST MOD US GU Fesanghary M, 2012, BUILD ENVIRON, V49, P245, DOI 10.1016/j.buildenv.2011.09.030 Flager F, 2012, EWORK AND EBUSINESS IN ARCHITECTURE, ENGINEERING AND CONSTRUCTION, P193 GAO, 2000, WAT EFF PLUMB FIXT R HHS, 2013, STRAT SUST PERF PLAN Hofler K., 2014, SHINING EXAMPLES COS Hong T, 2014, J MANAGE ENG, V30, P226, DOI 10.1061/(ASCE)ME.1943-5479.0000199 ICLEI, 2012, US COMM PROT ACC REP ICLEI, 2010, LOC GOV OP PROT QUAN Institute for Building Efficiency, 2014, WHY FOC EX BUILD Inyim P, 2015, J MANAGE ENG, V31, DOI 10.1061/(ASCE)ME.1943-5479.0000308 Killien C., 2011, DEEP GREEN RENOVATIO Lapinskiene V, 2013, PROCEDIA ENGINEER, V57, P670, DOI 10.1016/j.proeng.2013.04.085 Liu CR, 2014, ADV MATER RES-SWITZ, V860-863, P1620, DOI 10.4028/www.scientific.net/AMR.860-863.1620 Matthews H., 2004, J INFRASTRUCT SYST, P105, DOI [10.1061/(ASCE)1076-0342(2004)10:3(105), DOI 10.1061/(ASCE)1076-0342(2004)10:3(105)] Murray SN, 2014, BUILD ENVIRON, V75, P98, DOI 10.1016/j.buildenv.2014.01.011 Newsham GR, 2009, ENERG BUILDINGS, V41, P897, DOI 10.1016/j.enbuild.2009.03.014 Onat NC, 2014, BUILD ENVIRON, V78, P68, DOI 10.1016/j.buildenv.2014.03.030 Ordonez J, 2011, BUILD ENVIRON, V46, P2161, DOI 10.1016/j.buildenv.2011.04.030 Phetteplace G, 2007, J ENERG ENG, V133, P32, DOI 10.1061/(ASCE)0733-9402(2007)133:1(32) Reichardt A., 2013, J REAL ESTATE FINANC, V49, P413 Robichaud LB, 2011, J MANAGE ENG, V27, P48, DOI 10.1061/(ASCE)ME.1943-5479.0000030 Scofield JH, 2013, ENERG BUILDINGS, V67, P517, DOI 10.1016/j.enbuild.2013.08.032 Scofield JH, 2009, ENERG BUILDINGS, V41, P1386, DOI 10.1016/j.enbuild.2009.08.006 Shrestha PP, 2013, J MANAGE ENG, V29, P269, DOI 10.1061/(ASCE)ME.1943-5479.0000134 Stazi F, 2012, BUILD ENVIRON, V58, P278, DOI 10.1016/j.buildenv.2012.08.003 Tuhus-Dubrow D, 2010, BUILD ENVIRON, V45, P1574, DOI 10.1016/j.buildenv.2010.01.005 U. S. Energy Information Administration, 2012, STAT EN DAT SYST SED U.S. Environmental Protection Agency, 2006, SOL WAST MAN GREENH U.S. Environmental Protection Agency, 2013, TRANSF EX BUILD HIGH U. S. EPA, 2011, STRAT SUST PERF PLAN U. S. EPA, 1998, PEER REV EPA AN MOD U. S. EPA, 2008, FED COMM GREEN BUILD U. S. EPA, 2012, OZ LAYER PROT REG PR USDOE, 2013, QUICK EN SIM TOOL USGBC, 2014, LEED RAT SYST USGBC, 2010, LEED REF GUID GREEN USGBC, 2012, GREEN BUILD FACTS USGBC (U.S. Green Building Council), 2014, LEED 2009 EX BUILD O Verbeeck G, 2005, ENERG BUILDINGS, V37, P747, DOI 10.1016/j.enbuild.2004.10.003 Wang WM, 2005, BUILD ENVIRON, V40, P1512, DOI 10.1016/j.buildenv.2004.11.017 Weile DS, 1996, IEEE T ELECTROMAGN C, V38, P518, DOI 10.1109/15.536085 Wong JKW, 2013, AUTOMAT CONSTR, V33, P72, DOI 10.1016/j.autcon.2012.09.014 Wu W, 2015, J MANAGE ENG, V31, DOI 10.1061/(ASCE)ME.1943-5479.0000314 Zhu JJ, 2013, HABITAT INT, V37, P148, DOI 10.1016/j.habitatint.2011.12.006 NR 62 TC 4 Z9 4 U1 5 U2 53 PU ASCE-AMER SOC CIVIL ENGINEERS PI RESTON PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA SN 0742-597X EI 1943-5479 J9 J MANAGE ENG JI J. Manage. Eng. PD JUL PY 2016 VL 32 IS 4 AR 04016003 DI 10.1061/(ASCE)ME.1943-5479.0000425 PG 13 WC Engineering, Industrial; Engineering, Civil SC Engineering GA DQ0AO UT WOS:000378859700003 DA 2019-04-09 ER PT J AU Barbosa, CCD Dearing, J Szabo, S Hossain, S Binh, NT Nhan, DK Matthews, Z AF de Araujo Barbosa, Caio Cesar Dearing, John Szabo, Sylvia Hossain, Sarwar Nguyen Thanh Binh Dang Kieu Nhan Matthews, Zoe TI Evolutionary social and biogeophysical changes in the Amazon, Ganges-Brahmaputra-Meghna and Mekong deltas SO SUSTAINABILITY SCIENCE LA English DT Article DE Socio-ecological systems; Deltas; Amazon; Ganges-Brahmaputra-Meghna; Mekong; Dynamic principal component analysis ID SEA-LEVEL RISE; LINKING ECOSYSTEM SERVICES; SUPPLY-AND-DEMAND; CLIMATE-CHANGE; BRAZILIAN AMAZON; RIVER-BASIN; TRADE-OFFS; LAND-USE; ENVIRONMENTAL SUSTAINABILITY; AGRICULTURAL PRODUCTION AB Policy-making in social-ecological systems increasingly looks to iterative, evolutionary approaches that can address the inherent complexity of interactions between human wellbeing, provision of goods, and the maintenance of ecosystem services. Here, we show how the analysis of available time-series in tropical delta regions over past decades can provide important insight into the social-ecological system dynamics in deltaic regions. The paper provides an exploratory analysis of the recent changes that have occurred in the major elements of three tropical deltaic social-ecological systems, such as demography, economy, health, climate, food, and water. Time-series data from official statistics, monitoring programmes, and Earth observation data are analysed to explore possible trends, slow and fast variables, and observed drivers of change in the Amazon, Ganges-Brahmaputra-Meghna and Mekong deltas. In the Ganges-Brahmaputra-Meghna delta zone, increasing gross domestic product and per capita income levels since the 1980s mirror rising levels of food and inland fish production. In contrast, non-food ecosystem services, such as water availability, water quality, and land stability appear to be deteriorating. In the Amazon delta, natural and anthropogenic perturbations are continuously degrading key ecosystem services, such as carbon storage in biomass and soils, the regulation of water balance, and the modulation of regional climate patterns. In the Mekong delta, rapid economic development, changing land-use practices, and salinity intrusion are progressively putting more pressure on the delivery of important provisioning services, such as rice and inland aquaculture production, which are key sources of staple food, farm incomes, and export revenue. Observed changes in many key indicators of ecosystem services point to a changing dynamic state and increased probability of systemic threshold transformations in the near future. C1 [de Araujo Barbosa, Caio Cesar] Univ Southampton, Global Environm Change & Earth Observat Res Grp, Geog & Environm, Southampton SO17 1BJ, Hants, England. [Dearing, John; Hossain, Sarwar] Univ Southampton, Palaeoecol Lab, Geog & Environm, Southampton SO17 1BJ, Hants, England. [Szabo, Sylvia; Matthews, Zoe] Univ Southampton, Social Stat & Demog, Southampton SO17 1BJ, Hants, England. [Nguyen Thanh Binh; Dang Kieu Nhan] Can Tho Univ, Mekong Delta Dev Res Inst, Can Tho, Vietnam. RP Barbosa, CCD (reprint author), Univ Southampton, Global Environm Change & Earth Observat Res Grp, Geog & Environm, Southampton SO17 1BJ, Hants, England. EM CC.DeAraujoBarbosa@soton.ac.uk RI Dearing, John/E-4206-2010 FU Coordination for the Improvement of Higher Education Personnel (CAPES) Foundation within Ministry of Education, Brazil [BEX: 0327-12-3]; international Belmont Forum project "Catalyzing action toward sustainability of deltaic systems with an integrated modelling framework for risk assessment" [1342944]; NERC/ESRC; University of Southampton; Economic and Social Research Council [1223260]; Natural Environment Research Council [NE/L008726/1] FX This work has been funded by the Coordination for the Improvement of Higher Education Personnel (CAPES) Foundation within the Ministry of Education, Brazil through research grant provided to de Araujo Barbosa, C. C (BEX: 0327-12-3). Dearing, J. A., Szabo, S., and Matthews, Z. contributions were supported by the international Belmont Forum project "Catalyzing action toward sustainability of deltaic systems with an integrated modelling framework for risk assessment" (Award No. 1342944). Md. Sarwar Hossain acknowledges financial support provided by a joint NERC/ESRC interdisciplinary Ph.D. studentship award and the University of Southampton. This is a Sustainability Science at Southampton publication. CR Abedin MA, 2014, INT J DISAST RISK SC, V5, P110, DOI 10.1007/s13753-014-0021-6 Aerts JCJH, 2006, GEOPHYS RES LETT, V33, P1 Ahmed N, 2014, FOOD SECUR, V6, P767, DOI 10.1007/s12571-014-0394-9 Albert C, 2016, ECOL INDIC, V61, P100, DOI 10.1016/j.ecolind.2015.03.029 Alcamo J., 2003, ECOSYSTEMS HUMAN WEL Almeida OT, 2003, FISHERIES MANAG ECOL, V10, P109, DOI 10.1046/j.1365-2400.2003.00320.x Armitage D, 2015, AMBIO, V44, P353, DOI 10.1007/s13280-015-0644-x Asada H, 2009, CLIM RES, V38, P249, DOI 10.3354/cr00785 Auerbach LW, 2015, NAT CLIM CHANGE, V5, P153, DOI [10.1038/NCLIMATE2472, 10.1038/nclimate2472] Babel MS, 2011, WATER INT, V36, P340, DOI 10.1080/02508060.2011.584152 Bagley JE, 2014, BIOMASS BIOENERG, V71, P187, DOI 10.1016/j.biombioe.2014.10.007 Barbier EB, 2011, ECOL MONOGR, V81, P169, DOI 10.1890/10-1510.1 Barbosa CCD, 2016, SCI TOTAL ENVIRON, V550, P6, DOI 10.1016/j.scitotenv.2016.01.072 Barbosa CCD, 2015, ECOL INDIC, V52, P430, DOI 10.1016/j.ecolind.2015.01.007 Barthem RB, 2004, AMAZON BASIN GIWA RE, V40b Basher LR, 2013, ECOSYSTEM SERVICES IN NEW ZEALAND: CONDITIONS AND TRENDS, P363 BBS, 2013, PEOPL REP BANGL Beier CM, 2015, ECOL APPL, V25, P2011, DOI 10.1890/14-1376.1 Berg H, 2012, INT J PEST MANAGE, V58, P153, DOI 10.1080/09670874.2012.672776 Berg H, 2012, J SUSTAIN AGR, V36, P859, DOI 10.1080/10440046.2012.712090 Bianchi TS, 2009, P NATL ACAD SCI USA, V106, P8085, DOI 10.1073/pnas.0812878106 Bieling C, 2014, ECOL ECON, V105, P19, DOI 10.1016/j.ecolecon.2014.05.013 Billio M., 2010, 46 AIAA ASME SAE ASE, P1 BMD, 2014, BANGL MET DEP Boerner J, 2007, ECOL ECON, V64, P356, DOI 10.1016/j.ecolecon.2007.03.001 Brabo ES, 2003, WATER AIR SOIL POLL, V147, P61, DOI 10.1023/A:1024510312250 Bradshaw CJA, 2007, GLOBAL CHANGE BIOL, V13, P2379, DOI 10.1111/j.1365-2486.2007.01446.x Brichieri-Colombi JS, 2004, WATER INT, V29, P318, DOI 10.1080/02508060408691786 Brown S, 2015, SCI TOTAL ENVIRON, V527, P362, DOI 10.1016/j.scitotenv.2015.04.124 Butler CD, 2006, ECOL SOC, V11 Carpenter SR, 2011, ANNU REV ENV RESOUR, V36, P75, DOI 10.1146/annurev-environ-021810-094524 Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106 Chakraborty R, 2004, WATER INT, V29, P201, DOI 10.1080/02508060408691769 Chiesura A, 2003, ECOL ECON, V44, P219, DOI 10.1016/S0921-8009(02)00275-6 Chowdhury AMR, 2013, LANCET, V382, P1734, DOI 10.1016/S0140-6736(13)62148-0 Clarkson BR, 2013, ECOSYSTEM SERVICES IN NEW ZEALAND: CONDITIONS AND TRENDS, P192 Coclanis PA, 2011, ADV GLOB CHANGE RES, V45, P103, DOI 10.1007/978-94-007-0934-8_7 Cohen R.L., 2014, GLOB HLTH, V10, P1 Cook BR, 2010, ENVIRON HAZARDS-UK, V9, P8, DOI 10.3763/ehaz.2010.SI06 Costanza R, 2012, CURR OPIN ENV SUST, V4, P106, DOI 10.1016/j.cosust.2012.01.010 Dalal P, 2010, TRANSP RES RECORD, P132, DOI 10.3141/2193-16 Darby SE, 2015, ENVIRON SCI-PROC IMP, V17, P1587, DOI 10.1039/c5em00252d Dasgupta P, 2010, PHILOS T R SOC B, V365, P5, DOI 10.1098/rstb.2009.0231 Day JW, 2008, ESTUAR COAST, V31, P477, DOI 10.1007/s12237-008-9047-6 de Araujo Barbosa CC, 2013, ECSA 53, V53 de Araujo Barbosa CC, 2014, AGU FALL M, V1, P11 de Araujo Barbosa CC, 2010, ESTUDOS GEOLOGICOS, V20, P3 de Araujo Barbosa CC, 2014, AGU FALL M, V1 de Freitas CM, 2007, CAD SAUDE PUBLICA, V23, pS513, DOI 10.1590/S0102-311X2007001600012 de Oliveira VH, 2014, ECON HUM BIOL, V15, P67, DOI 10.1016/j.ehb.2014.07.001 Dearing JA, 2003, GLOBAL PLANET CHANGE, V39, P147, DOI 10.1016/S0921-8181(03)00022-5 Dearing JA, 2014, GLOBAL ENVIRON CHANG, V28, P227, DOI 10.1016/j.gloenvcha.2014.06.012 Dearing JA, 2012, ENVIRON MANAGE, V49, P767, DOI 10.1007/s00267-012-9833-6 Deutsch L, 2003, ECOL ECON, V44, P205, DOI 10.1016/S0921-8009(02)00274-4 Dippner JW, 2015, J MARINE SYST, V150, P34, DOI 10.1016/j.jmarsys.2015.05.009 Downing AS, 2014, ECOL SOC, V19, DOI 10.5751/ES-06965-190431 Dun O, 2011, INT MIGR, V49, pe200, DOI 10.1111/j.1468-2435.2010.00646.x Duval-Diop DM, 2005, ECON GEOGR, V81, P177 Ericson JP, 2006, GLOBAL PLANET CHANGE, V50, P63, DOI 10.1016/j.gloplacha.2005.07.004 Ernoul L, 2013, ENVIRON CONSERV, V40, P231, DOI 10.1017/S0376892913000106 Escobedo FJ, 2015, URBAN FOR URBAN GREE, V14, P1040, DOI 10.1016/j.ufug.2015.09.011 Espinoza JC, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/2/024008 Essington TE, 2014, ECOL APPL, V24, P1543, DOI 10.1890/13-1403.1 Farley J, 2010, ENVIRON MANAGE, V45, P26, DOI 10.1007/s00267-008-9232-1 Feld CK, 2009, OIKOS, V118, P1862, DOI 10.1111/j.1600-0706.2009.17860.x Few R, 2010, GLOBAL ENVIRON CHANG, V20, P529, DOI 10.1016/j.gloenvcha.2010.02.004 Fezzi C, 2015, NAT CLIM CHANGE, V5, P255, DOI [10.1038/nclimate2525, 10.1038/NCLIMATE2525] Fjelde H, 2012, POLIT GEOGR, V31, P444, DOI 10.1016/j.polgeo.2012.08.004 Foley JA, 2007, FRONT ECOL ENVIRON, V5, P25, DOI 10.1890/1540-9295(2007)5[25:ARFDAL]2.0.CO;2 Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711 Food and Agriculture Organization of the United Nations, 2014, FAO STAT SER Frappart F, 2006, GEOPHYS J INT, V167, P570, DOI 10.1111/j.1365-246X.2006.03184.x Gain AK, 2014, WATER-SUI, V6, P2501, DOI 10.3390/w6082501 Garrett RD, 2013, LAND USE POLICY, V34, P265, DOI 10.1016/j.landusepol.2013.03.011 Givental E, 2016, SINGAPORE J TROP GEO, V37, P59, DOI 10.1111/sjtg.12135 Godar J, 2014, P NATL ACAD SCI USA, V111, P15591, DOI 10.1073/pnas.1322825111 Godar J, 2012, FOREST ECOL MANAG, V267, P58, DOI 10.1016/j.foreco.2011.11.046 Gonzalez-Esquivel CE, 2015, ECOL SOC, V20, DOI 10.5751/ES-06875-200138 Grimaldi M, 2014, LANDSCAPE ECOL, V29, P311, DOI 10.1007/s10980-013-9981-y GSO, 2014, POP EMPL NAT ACC STA Guedes GR, 2012, HUM ECOL, V40, P41, DOI 10.1007/s10745-011-9444-5 Gummert M, 2013, ACTA HORTIC, V1011, P63 Gupta N, 2014, GEOMORPHOLOGY, V213, P24, DOI 10.1016/j.geomorph.2013.12.038 Haider MZ, 2013, J SOIL SCI PLANT NUT, V13, P417, DOI 10.4067/S0718-95162013005000033 Hanebuth TJJ, 2013, GEOLOGY, V41, P987, DOI 10.1130/G34646.1 Harborne AR, 2013, J FISH BIOL, V83, P417, DOI 10.1111/jfb.12203 Harmackova ZV, 2015, ECOL MODEL, V295, P207, DOI 10.1016/j.ecolmodel.2014.10.003 Haruyama S, 2009, GEOMORPHOLOGY AND PLATE TECTONICS, P35 Hicks CC, 2015, CONSERV BIOL, V29, P1471, DOI 10.1111/cobi.12550 Higgins SA, 2014, J GEOPHYS RES-EARTH, V119, P1768, DOI 10.1002/2014JF003117 Hinderer M, 2012, SEDIMENT GEOL, V280, P21, DOI 10.1016/j.sedgeo.2012.03.009 Dang HL, 2014, MITIG ADAPT STRAT GL, V19, P531, DOI 10.1007/s11027-012-9447-6 Holgate SJ, 2013, J COASTAL RES, V29, P493, DOI 10.2112/JCOASTRES-D-12-00175.1 Hossain MS, 2016, REG ENVIRON CHANGE, V16, P429, DOI 10.1007/s10113-014-0748-z Hossain MY, 2013, SAINS MALAYS, V42, P1207 Hossain MY, 2012, SAINS MALAYS, V41, P671 Hossain MS, 2015, ENV DEV, V17, P21 Hou J, 2015, SOC SCI J, V52, P331, DOI 10.1016/j.soscij.2014.07.003 Howe C, 2014, GLOBAL ENVIRON CHANG, V28, P263, DOI 10.1016/j.gloenvcha.2014.07.005 Huysveld S, 2013, J CLEAN PROD, V51, P225, DOI 10.1016/j.jclepro.2013.01.024 Iacob O, 2014, HYDROL RES, V45, P774, DOI 10.2166/nh.2014.184 Ibanez C, 2014, ECOL ENG, V65, P122, DOI 10.1016/j.ecoleng.2013.08.002 IBGE, 2014, SIST IBGE REC AUT SI INMET, 2013, SER MET INPE, 2014, DAD DESM CONS Islam AS, 2010, NAT HAZARDS, V54, P797, DOI 10.1007/s11069-010-9504-y Islam MB, 2011, CLIMATE CHANGE AND FOOD SECURITY IN SOUTH ASIA, P477, DOI 10.1007/978-90-481-9516-9_29 Islam SN, 2010, FRONT EARTH SCI-PRC, V4, P393, DOI 10.1007/s11707-010-0122-5 Janssen MA, 2004, J ENVIRON ECON MANAG, V47, P140, DOI 10.1016/S0095-0696(03)00069-X Jordan SJ, 2010, ENVIRON SCI TECHNOL, V44, P1530, DOI 10.1021/es902597u Kay S, 2015, ENVIRON SCI-PROC IMP, V17, P1311, DOI 10.1039/c4em00683f Khan AL, 2012, COMM ENV DISAST RISK, V11, P159, DOI 10.1108/S2040-7262(2012)0000011015 Khan MMH, 2015, REG ENVIRON CHANGE, V15, P241, DOI 10.1007/s10113-014-0642-8 King J, 2010, FRESHWATER BIOL, V55, P127, DOI 10.1111/j.1365-2427.2009.02316.x King MF, 2014, SOC INDIC RES, V116, P681, DOI 10.1007/s11205-013-0320-0 Klemick H, 2011, J ENVIRON ECON MANAG, V61, P95, DOI 10.1016/j.jeem.2010.07.003 Kotera A, 2008, JARQ-JPN AGR RES Q, V42, P267, DOI 10.6090/jarq.42.267 Kotera A, 2014, PADDY WATER ENVIRON, V12, P343, DOI 10.1007/s10333-013-0386-y Kuenzer C, 2012, ENVIRON SCI ENG, P7, DOI 10.1007/978-94-007-3962-8_2 Kuenzer C, 2013, INT J REMOTE SENS, V34, P2101, DOI 10.1080/01431161.2012.738946 Larsen S, 2011, GLOBAL CHANGE BIOL, V17, P1186, DOI 10.1111/j.1365-2486.2010.02257.x Laterra P, 2012, AGR ECOSYST ENVIRON, V154, P56, DOI 10.1016/j.agee.2011.05.013 Li SJ, 2008, AMBIO, V37, P170, DOI 10.1579/0044-7447(2008)37[170:WLRTHD]2.0.CO;2 Llovel W, 2010, CR GEOSCI, V342, P179, DOI 10.1016/j.crte.2009.12.004 Lorena RB, 2009, APPL GEOGR, V29, P171, DOI 10.1016/j.apgeog.2008.09.003 Lu XX, 2006, HYDROL EARTH SYST SC, V10, P181, DOI 10.5194/hess-10-181-2006 Ludewigs T, 2009, WORLD DEV, V37, P1348, DOI 10.1016/j.worlddev.2008.08.018 Lusterio AC, 2009, WATER AND URBAN DEVELOPMENT PARADIGMS, P67 Ma S, 2011, ECOL ECON, V70, P1649, DOI 10.1016/j.ecolecon.2011.04.004 Macadam CR, 2015, ECOL ENTOMOL, V40, P113, DOI 10.1111/een.12245 Malovics G, 2009, CERS 2009 - 3RD CENTRAL EUROPEAN CONFERENCE IN REGIONAL SCIENCE, INTERNATIONAL CONFERENCE PROCEEDINGS - YOUNG SCIENTISTS ARTICLES, P1186 Markandya A, 2004, ENVIRON DEV ECON, V9, P61, DOI 10.1017/S135570X03001013 Maya MV, 2011, ENVIRON MONIT ASSESS, V175, P501, DOI 10.1007/s10661-010-1547-8 McMullen C. P., 2009, CLIMATE CHANGE SCI C Meier P, 2007, POLIT GEOGR, V26, P716, DOI 10.1016/j.polgeo.2007.06.001 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY Mononen L, 2016, ECOL INDIC, V61, P27, DOI 10.1016/j.ecolind.2015.03.041 Morrison G, 2006, ESTUAR COAST, V29, P926, DOI 10.1007/BF02798652 Naidoo R, 2008, P NATL ACAD SCI USA, V105, P9495, DOI 10.1073/pnas.0707823105 Nedkov S, 2012, ECOL INDIC, V21, P67, DOI 10.1016/j.ecolind.2011.06.022 Nelson GC, 2006, ECOL SOC, V11 Nepstad DC, 2011, CONSERV BIOL, V25, P1113, DOI 10.1111/j.1523-1739.2011.01784.x Ngoo YT, 2015, SOC INDIC RES, V124, P141, DOI 10.1007/s11205-014-0772-x Nguyen AL, 2014, AMBIO, V43, P1059, DOI 10.1007/s13280-014-0519-6 Tho N, 2012, AQUAC RES, V43, P526, DOI 10.1111/j.1365-2109.2011.02858.x Manh NV, 2015, GLOBAL PLANET CHANGE, V127, P22, DOI 10.1016/j.gloplacha.2015.01.001 Nguyen VV, 2011, CLIM CHANG MANAG, P227, DOI 10.1007/978-3-642-14776-0_15 Nhan DK, 2007, AGR SYST, V94, P445, DOI 10.1016/j.agsy.2006.11.017 NHMS, 2014, VIETN HYDR SERV Nijssen B, 2001, CLIMATIC CHANGE, V50, P143, DOI 10.1023/A:1010616428763 Notter B, 2012, HYDROL EARTH SYST SC, V16, P69, DOI 10.5194/hess-16-69-2012 O'Leary SJ, 2012, ANN LIMNOL-INT J LIM, V48, P267, DOI 10.1051/limn/2012008 O'Reilly CM, 2003, NATURE, V424, P766, DOI 10.1038/nature01833 Omer AM, 2009, J RENEW SUSTAIN ENER, V1, DOI 10.1063/1.3220701 Pethick J, 2013, GLOBAL PLANET CHANGE, V111, P237, DOI 10.1016/j.gloplacha.2013.09.019 Piman T, 2013, HYDROL PROCESS, V27, P2115, DOI 10.1002/hyp.9764 Pinho PF, 2015, REG ENVIRON CHANGE, V15, P643, DOI 10.1007/s10113-014-0659-z Pokrant B, 2014, MARE PUBL SER, V12, P107, DOI 10.1007/978-94-017-8727-7_6 Potschin MB, 2011, PROG PHYS GEOG, V35, P575, DOI 10.1177/0309133311423172 Pretty J, 2013, ENVIRON RESOUR ECON, V55, P475, DOI 10.1007/s10640-013-9680-9 Quyet VM, 2012, INT GEOSCI REMOTE SE, P6220, DOI 10.1109/IGARSS.2012.6352679 Ramirez-Gomez SOI, 2015, ECOSYST SERV, V13, P93, DOI 10.1016/j.ecoser.2014.12.009 Raudsepp-Hearne C, 2010, BIOSCIENCE, V60, P576, DOI 10.1525/bio.2010.60.8.4 Renaud FG, 2015, CLIMATIC CHANGE, V133, P69, DOI 10.1007/s10584-014-1113-4 Restrepo JD, 2013, IAHS-AISH P, V358, P143 Reyers B, 2013, FRONT ECOL ENVIRON, V11, P268, DOI 10.1890/120144 Rodriguez JP, 2006, ECOL SOC, V11 Rogers KG, 2013, ESTUAR COAST SHELF S, V131, P297, DOI 10.1016/j.ecss.2013.07.014 Ruane AC, 2013, GLOBAL ENVIRON CHANG, V23, P338, DOI 10.1016/j.gloenvcha.2012.09.001 Sabater S, 2010, HANDB ENVIRON CHEM, V8, P15, DOI 10.1007/698_2009_24 Sara G, 2014, REG ENVIRON CHANGE, V14, pS5, DOI 10.1007/s10113-012-0360-z Scheffer M, 2012, SCIENCE, V338, P344, DOI 10.1126/science.1225244 Schmelzer M, 2015, ECOL ECON, V118, P262, DOI 10.1016/j.ecolecon.2015.07.029 Schoenaker N, 2015, SUSTAIN DEV, V23, P285, DOI 10.1002/sd.1585 Seck PA, 2012, FOOD SECUR, V4, P7, DOI 10.1007/s12571-012-0168-1 Sharma B, 2010, WATER INT, V35, P493, DOI 10.1080/02508060.2010.512996 Shearman P, 2013, J COASTAL RES, V29, P1169, DOI 10.2112/JCOASTRES-D-12-00120.1 Siddique-E-Akbor AHM, 2014, EARTH INTERACT, V18, DOI 10.1175/EI-D-14-0017.1 Smith TF, 2013, SUSTAINABILITY-BASEL, V5, P228, DOI 10.3390/su5010228 Son NT, 2013, INT J REMOTE SENS, V34, P7275, DOI 10.1080/01431161.2013.818258 Stanley DJ, 2000, GEOLOGY, V28, P295 Sturck J, 2014, ECOL INDIC, V38, P198, DOI 10.1016/j.ecolind.2013.11.010 Suich H, 2015, ECOSYST SERV, V12, P137, DOI 10.1016/j.ecoser.2015.02.005 Sullivan CA, 2009, 18TH WORLD IMACS CONGRESS AND MODSIM09 INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION, P3984 Syvitski JPM, 2008, SUSTAIN SCI, V3, P23, DOI 10.1007/s11625-008-0043-3 Szabo S, 2016, SUSTAIN SCI, V11, P411, DOI [10.1007/s11625-015-0337-1, 10.1007/s11625-016-0372-6] Szabo S, 2015, ENVIRONMENT, V57, P16, DOI 10.1080/00139157.2015.1048142 Taguchi K, 2009, ECOL MODEL, V220, P2255, DOI 10.1016/j.ecolmodel.2009.05.007 Tao Z, 2013, ADV METEOROL Teferi E, 2010, HYDROL EARTH SYST SC, V14, P2415, DOI 10.5194/hess-14-2415-2010 Terrado M, 2014, ECOL INDIC, V37, P199, DOI 10.1016/j.ecolind.2013.01.016 Tin HQ, 2001, EUPHYTICA, V122, P491, DOI 10.1023/A:1017544406975 Trumbore S, 2015, SCIENCE, V349, P814, DOI 10.1126/science.aac6759 Tsai AY, 2005, LIMNOL OCEANOGR, V50, P1221, DOI 10.4319/lo.2005.50.4.1221 Tuong TP, 2003, PADDY WATER ENVIRON, V1, P65, DOI 10.1007/s10333-003-0015-2 Turner MG, 2013, LANDSCAPE ECOL, V28, P1081, DOI 10.1007/s10980-012-9741-4 Ullah S, 2015, ANN GEOPHYS-ITALY, V58, DOI 10.4401/ag-6682 van Slobbe E, 2013, NAT HAZARDS, V66, P1461, DOI 10.1007/s11069-013-0612-3 Varis O, 2012, APPL GEOGR, V32, P441, DOI 10.1016/j.apgeog.2011.05.003 Vecernik J, 2015, POST-COMMUNIST ECON, V27, P170, DOI 10.1080/14631377.2015.1026687 Vergara W, 2011, ASSESSMENT OF THE RISK OF AMAZON DIEBACK, P1, DOI 10.1596/978-0-8213-8621-7 Vidal-Abarca MR, 2014, ECOL COMPLEX, V20, P1, DOI 10.1016/j.ecocom.2014.07.002 Viers J, 2005, SCI TOTAL ENVIRON, V339, P219, DOI 10.1016/j.scitotenv.2004.07.034 Vu QM, 2014, GLOBAL PLANET CHANGE, V121, P64, DOI 10.1016/j.gloplacha.2014.07.007 Walker SJ, 2008, GLOBAL CHANGE BIOL, V14, P2755, DOI 10.1111/j.1365-2486.2008.01644.x Walsh JP, 2014, BIOGEOCHEMICAL DYNAMICS AT MAJOR RIVER-COASTAL INTERFACES: LINKAGES WITH GLOBAL CHANGE, P86 Webster PJ, 2011, PHILOS T R SOC A, V369, P4768, DOI 10.1098/rsta.2011.0160 Westphal C, 2015, BASIC APPL ECOL, V16, P681, DOI 10.1016/j.baae.2015.10.004 Withers PJA, 2008, SCI TOTAL ENVIRON, V400, P379, DOI 10.1016/j.scitotenv.2008.08.002 Wong PP, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P361 Wood SLR, 2016, AGR ECOSYST ENVIRON, V215, P47, DOI 10.1016/j.agee.2015.09.005 Xue Z, 2011, EARTH SURF PROC LAND, V36, P296, DOI 10.1002/esp.2036 Yoo J, 2014, ECOL ECON, V97, P74, DOI 10.1016/j.ecolecon.2013.11.001 Younus MAF, 2014, SPRINGER THESES-RECO, P117, DOI 10.1007/978-94-007-5494-2_5 Zhang K, 2015, SCI TOTAL ENVIRON, V506, P164, DOI 10.1016/j.scitotenv.2014.10.096 Zheng ZY, 2012, SCI REP-UK, V2, DOI 10.1038/srep00888 NR 216 TC 3 Z9 3 U1 2 U2 47 PU SPRINGER JAPAN KK PI TOKYO PA CHIYODA FIRST BLDG EAST, 3-8-1 NISHI-KANDA, CHIYODA-KU, TOKYO, 101-0065, JAPAN SN 1862-4065 EI 1862-4057 J9 SUSTAIN SCI JI Sustain. Sci. PD JUL PY 2016 VL 11 IS 4 SI SI BP 555 EP 574 DI 10.1007/s11625-016-0371-7 PG 20 WC Green & Sustainable Science & Technology; Environmental Sciences SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DP8XQ UT WOS:000378781700004 DA 2019-04-09 ER PT J AU Chung, JH Bae, YK Kim, J AF Chung, Jin-Hyuk Bae, Yun Kyung Kim, Jinhee TI Optimal sustainable road plans using multi-objective optimization approach SO TRANSPORT POLICY LA English DT Article ID NETWORK DESIGN PROBLEM; TRANSPORTATION NETWORK; DEMAND UNCERTAINTY; TOLLING STRATEGIES; TIME; IMPROVEMENT; EQUITY AB To construct a sustainable road network, the three dimensions of sustainability-economic efficiency, environmental impact, and social equity-should be significantly and simultaneously taken into account at the planning stage. Because these dimensions have trade-off relationships among them, we developed a multi-objective optimization model for planning optimal road capacity improvement. Three indicators, each measuring one dimension of sustainability, were used as the objectives in the proposed model. The total travel cost, which combines the monetized value of travel, time and operating costs, was adopted as the economic indicator. The total emissions cost and the GINI coefficient based on zonal accessibility were adopted as the environmental and equity indicators, respectively. We performed an experimental test with three model scenarios to compare the single- and multi-objective approaches and different objective functions. We obtained Pareto optimal solutions using the elitist non-dominated sorting genetic algorithm. The results show that the proposed model, which is based on the multi-objective approach and considers all three dimensions of sustainability, is more suitable than other options for designing a sustainable road network. In addition, we suggest that the frequency rate of a link within Pareto solutions can be used to prioritize capacity improvement for maximum road network sustainability. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Chung, Jin-Hyuk] Yonsei Univ, Dept Urban Planning & Engn, 134 Shinchon Dong, Seoul 120749, South Korea. [Bae, Yun Kyung] Korea Res Inst Human Settlement, Infrastruct Res Div, 254 Simin Daero, Anyang Si 431712, Gyeonggi Do, South Korea. [Kim, Jinhee] Eindhoven Univ Technol, Dept Urban Sci & Syst, Urban Planning Grp, POB 513, NL-5600 MB Eindhoven, Netherlands. RP Kim, J (reprint author), Eindhoven Univ Technol, Dept Urban Sci & Syst, Urban Planning Grp, POB 513, NL-5600 MB Eindhoven, Netherlands. EM jinchung@yonsei.ac.kr; ykbae@krihs.re.kr; j.kim@bwk.tue.nl CR Button K., 1993, TRANSPORT ENV SUSTAI, P19 Chen A, 2007, TRANSPORT RES A-POL, V41, P537, DOI 10.1016/j.tra.2006.11.009 Chen A, 2010, EXPERT SYST APPL, V37, P1608, DOI 10.1016/j.eswa.2009.06.048 Deb K., 2001, MULTIOBJECTIVE OPTIM Feng T., 2010, 12 WORLD C TRANSP RE Feng T., 2009, 88 ANN M TRANSP RES Goldberg DE., 1989, GENETIC ALGORITHMS S Hall R. P., 2006, THESIS Korea Development Institute, 2008, STUD STAND GUID PREF Korea Transport Institute and Korea Rail Network Authority, 2010, STUD GUID EV RAIL SY Litman T., 2006, INT J GLOBAL ENV ISS, V6, P331, DOI DOI 10.1504/IJGENVI.2006.010889 Meng Q, 2002, TRANSPORT RES B-METH, V36, P19, DOI 10.1016/S0191-2615(00)00036-9 Ramani TL, 2011, TRANSPORT RES REC, P9, DOI 10.3141/2242-02 Samberg S, 2011, TRANSPORT RES REC, P1, DOI 10.3141/2242-01 Sharma S, 2011, ENVIRON PLANN B, V38, P520, DOI 10.1068/b37018 Sharma S, 2009, TRANSPORT RES REC, P95, DOI 10.3141/2090-11 SHEFFI Y, 1987, URBAN TRANSPORTATION Sohn K, 2011, TRANSPORT RES A-POL, V45, P499, DOI 10.1016/j.tra.2011.03.005 SUWANSIRIKUL C, 1987, TRANSPORT SCI, V21, P254, DOI 10.1287/trsc.21.4.254 Szeto WY, 2008, TRANSPORT RES A-POL, V42, P376, DOI 10.1016/j.tra.2007.10.003 Szeto WY, 2005, TRANSPORTMETRICA, V1, P47, DOI 10.1080/18128600508685642 Szeto WY, 2015, NETW SPAT ECON, V15, P791, DOI 10.1007/s11067-013-9191-9 Szeto WY, 2014, COMPUT-AIDED CIV INF, V29, P140, DOI 10.1111/mice.12033 Szeto WY, 2006, TRANSPORT RES A-POL, V40, P227, DOI 10.1016/j.tra.2005.06.004 Ukkusuri SV, 2007, COMPUT-AIDED CIV INF, V22, P6, DOI 10.1111/j.1467-8667.2006.00465.x Unnikrishnan A, 2009, COMPUT-AIDED CIV INF, V24, P266, DOI 10.1111/j.1467-8667.2008.00587.x Yang H, 2002, TRANSPORT RES REC, P17 Yang H, 1998, TRANSPORT REV, V18, P257, DOI 10.1080/01441649808717016 NR 28 TC 0 Z9 0 U1 0 U2 16 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0967-070X EI 1879-310X J9 TRANSPORT POLICY JI Transp. Policy PD JUL PY 2016 VL 49 BP 105 EP 113 DI 10.1016/j.tranpol.2016.04.011 PG 9 WC Economics; Transportation SC Business & Economics; Transportation GA DP0LL UT WOS:000378181200011 DA 2019-04-09 ER PT J AU Sumaila, UR Bellmann, C Tipping, A AF Sumaila, U. Rashid Bellmann, Christophe Tipping, Alice TI Fishing for the future: An overview of challenges and opportunities SO MARINE POLICY LA English DT Article DE Fishing; Aquaculture; Sustainability; Trade system ID CLIMATE-CHANGE; MARINE FISHERIES; MANAGEMENT; IMPACTS; AQUACULTURE; TUNA AB This paper surveys the current state and major trends in global fisheries; the environmental and social dimensions of fisheries; and explains how the international community has tried to meet the policy challenges associated with oceans and fisheries. The ocean and the freshwater ecosystems of the world make significant contributions to people's well-being via the many vital social and environmental services they provide (for example, food and nutrition, employment and incomes, carbon cycling and sequestration). The impact that the increase in fishing since the 1950s has had on wild fish stocks, and the significant increase in aquaculture production in the 20th century, have resulted in severe environmental impacts. This has significant effects on marine ecosystems and the health of oceans. The erosion of the resource undermines communities' long-term interests, including food security, employment, and income. Attempts by the global community to address challenges of sustainable production by improving the governance and management of fisheries resources range from national management of fisheries resources, to regional fisheries management organisations (RFMOs) for international fisheries stocks. These attempts have not always successfully met the challenge of balancing current and future use of fisheries. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Sumaila, U. Rashid] Univ British Columbia, Oceans & Fisheries, Global Fisheries Cluster, Fisheries Econ Res Unit, Vancouver, BC V6T 1Z4, Canada. [Bellmann, Christophe; Tipping, Alice] Int Ctr Trade & Sustainable Dev, 7 Chemin Balexert, CH-1219 Geneva, Switzerland. RP Sumaila, UR (reprint author), Univ British Columbia, Oceans & Fisheries, Global Fisheries Cluster, Fisheries Econ Res Unit, Vancouver, BC V6T 1Z4, Canada. EM r.sumaila@fisheries.ubc.ca; cbellmann@ictsd.ch; ATipping@ictsd.ch FU Social Sciences and Humanities Research Council of Canada (SSHRC) FX The authors wish to thank ICTSD and the World Economic Forum for convening a group of experts made up of leading thinkers, former policy makers, academics, practitioners, private sector and IGO representatives from around the world under the E15Initiative (< http://e15initiative.org/>). This contribution draws on the work of the E15 Expert Group on Ocean and Fisheries conducted during 2014 and 2015. Many thanks go to all the group members (listed @ < http://e15initiative.org/themes/fisheries-and-oceans/>) for their insights and contributions to the work reported herein. The first author thanks the Social Sciences and Humanities Research Council of Canada (SSHRC) for their support of the OceanCanada and the Too Big To Ignore research Partnerships. CR Agnew DJ, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004570 Ainsworth CH, 2011, ICES J MAR SCI, V68, P1217, DOI 10.1093/icesjms/fsr043 Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x Anker-Nilssen T, 1997, LOW WAKE FI, V97, P683 Asche F., 1999, AQUACULT ECON MANAG, V3, P19, DOI DOI 10.1080/13657309909380230 Auster Peter J., 1996, Reviews in Fisheries Science, V4, P185 Bailey M, 2013, STRATEG BEHAV ENVIRO, V3, P31, DOI 10.1561/102.00000023 Berkes F., 2001, MANAGING SMALL SCALE Botsford LW, 1997, SCIENCE, V277, P509, DOI 10.1126/science.277.5325.509 Charles A., 2001, SUSTAINABLE FISHERY Clark C.W., 1990, MATH BIOECONOMICS OP Costello C., 2013, J BIOECON, P1 Costello C, 2012, SCIENCE, V338, P517, DOI 10.1126/science.1223389 Cullis-Suzuki S, 2010, MAR POLICY, V34, P1036, DOI 10.1016/j.marpol.2010.03.002 De Silva Sena S., 2007, FAO Fisheries Technical Paper, V497, P19 Dyck Andrew J., 2010, Journal of Bioeconomics, V12, P227, DOI 10.1007/s10818-010-9088-3 FAO, 1995, COD COND RESP FISH FAO, 2009, YB FISH AQ STAT, P2007 FAO, 2012, STAT WORLD FISH AQ 2 FAO-Food and Agriculture Organization of the United Nations, 2010, STAT WORLD FISH AQ 2 Field CT, 2014, GENDER AMER CULT, P1 Gjerde K. M., 2008, MARINE SERIES, V1 Gordon HS, 1954, J POLIT ECON, V62, P124, DOI 10.1086/257497 Hall S. J., 1999, BLACKWELL SCIS ERIES, P270 Hall S.J., 2011, POLICY BRIEF Hampton J., 2002, TECHNICAL REPORT Hansen D. J., 1997, P INT S ROL FOR FISH, P197 High Seas Task Force, 2006, CLOS NET STOPP ILL F ICCAT, 2008, 2008 ATL BLUEF TUN S Isaksen JR, 2015, MAR POLICY, V52, P85, DOI 10.1016/j.marpol.2014.10.028 Jensen O, 2010, AQUACULT ENV INTERAC, V1, P71, DOI 10.3354/aei00008 Krkosek M, 2007, SCIENCE, V318, P1772, DOI 10.1126/science.1148744 Langley A., 2009, TECHNICAL REPORT Liu Y., 2013, GOVERNABILITY FISHER, V7, P201 Liu Y., 2007, AQUACULT ECON MANAG, V11, P413 McConney P, 2008, HDB MARINE FISHERIES MEHL S, 1991, POLAR RES, V10, P525, DOI 10.1111/j.1751-8369.1991.tb00670.x Milazzo M., 1998, FISHERIES SERIES, V40 Milewski I., 2001, MARINE AQUACULTURE E Miller KA, 2013, CAN J AGR ECON, V61, P309, DOI 10.1111/cjag.12011 MUNRO GR, 1979, CAN J ECON, V12, P355, DOI 10.2307/134727 Myers RA, 2003, NATURE, V423, P280, DOI 10.1038/nature01610 Naylor RL, 2000, NATURE, V405, P1017, DOI 10.1038/35016500 Noone K.J., 2013, MANAGING OCEAN ENV C, P359 OECD, 2000, TRANS RESP FISH EC P Pauly D, 1998, SCIENCE, V279, P860, DOI 10.1126/science.279.5352.860 PAULY D., 2006, MAR STUD MAST, V4, P7 Pitcher T, 2009, NATURE, V457, P658, DOI 10.1038/457658a Plimsoll Publishing, 2011, COMM FISH GLOB IND C, P1256 PONTECORVO G, 1980, SCIENCE, V208, P1000, DOI 10.1126/science.208.4447.1000 Sainsbury K, 1993, SUSTAINABLE FISHERIE, P137 Srinivasan U. Thara, 2014, Journal of Bioeconomics, V16, P221, DOI 10.1007/s10818-013-9160-x Srinivasan U. Thara, 2010, Journal of Bioeconomics, V12, P183, DOI 10.1007/s10818-010-9090-9 Sumaila U Rashid, 2007, Journal of Bioeconomics, V9, P39, DOI 10.1007/s10818-007-9015-4 Sumaila U. R., 2006, FISHERIES CTR RES RE, V14 Sumaila U. R., 2015, SCI REP, V5, P1 Sumaila U. R., 2013, GAME THEORY FISHERIE Sumaila U.R., 2013, GLOBAL FISHERIES SUB Sumaila UR, 2014, MAR POLICY, V43, P288, DOI 10.1016/j.marpol.2013.06.012 Sumaila UR, 2011, NAT CLIM CHANGE, V1, P449, DOI 10.1038/NCLIMATE1301 Sumaila UR, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0040542 Sumaila UR, 2012, MAR POLICY, V36, P502, DOI 10.1016/j.marpol.2011.08.010 Swartz W, 2013, ENVIRON RESOUR ECON, V56, P467, DOI 10.1007/s10640-012-9611-1 Swartz W, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0015143 Teh LCL, 2013, FISH FISH, V14, P77, DOI 10.1111/j.1467-2979.2011.00450.x UNEP, 2011, GREEN EC PATHW SUST United Nations, 2010, OC LAW SEA Warner Robin, 2009, PROTECTING OCEANS NA Watson R, 2004, FISH FISH, V5, P168, DOI 10.1111/j.1467-2979.2004.00142.x Watson RA, 2013, FISH FISH, V14, P493, DOI 10.1111/j.1467-2979.2012.00483.x Weitzman ML, 2001, AM ECON REV, V91, P260, DOI 10.1257/aer.91.1.260 World Bank, 2013, 3 WORLD BANK World Bank and FAO, 2009, SUNK BILL EC JUST FI Young M, 2011, TRADING FISH SAVING Zeller D., 2006, MARINE RESOURCE EC, V21, P355, DOI DOI 10.1086/MRE.21.4.42629521 NR 75 TC 13 Z9 14 U1 6 U2 90 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0308-597X EI 1872-9460 J9 MAR POLICY JI Mar. Pol. PD JUL PY 2016 VL 69 BP 173 EP 180 DI 10.1016/j.marpol.2016.01.003 PG 8 WC Environmental Studies; International Relations SC Environmental Sciences & Ecology; International Relations GA DN7AX UT WOS:000377228800019 DA 2019-04-09 ER PT J AU Bellmann, C Tipping, A Sumaila, UR AF Bellmann, Christophe Tipping, Alice Sumaila, U. Rashid TI Global trade in fish and fishery products: An overview SO MARINE POLICY LA English DT Article DE Trade; Trade barriers; Fisheries subsidies; Food safety and traceability; Sustainability standards; IUU; WTO; Regional trade agreements AB Global trade in fishery products plays a significant role in shaping the harvesting and use of fish, and therefore will be an important part of a transition to sustainable fisheries. This article provides an overview of global trade flows in fish and fishery products as well as future trends affecting the sector. It then moves on to review trade policy measures applied in major producing and importing countries, including tariff, non-tariff measures, and fisheries subsidies. It ends with an overview of recent developments in international frameworks governing trade in fish and fishery products at the global, regional and national levels. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Bellmann, Christophe; Tipping, Alice] Int Ctr Trade & Sustainable Dev, 7 Chemin Balexert, CH-1219 Geneva, Switzerland. [Sumaila, U. Rashid] Univ British Columbia, IOF, Global Fisheries Cluster, Fisheries Econ Res Unit, Vancouver, BC V6T 1Z4, Canada. RP Tipping, A (reprint author), Int Ctr Trade & Sustainable Dev, 7 Chemin Balexert, CH-1219 Geneva, Switzerland. EM cbellmann@ictsd.ch; ATipping@ictsd.ch; r.sumaila@fisheries.ubc.ca CR Ababouch L, 2011, 553 UN FAO Agnew D. J., 2013, ICES J MAR SCI, DOI DOI 10.1093/ICESJMSFFST091 [Anonymous], 2013, NOAA WORK 10 NATIONS APEC, 2000, STUD NAT EXT SUBS Bonfil, 1998, FISHERIES CTR RES RE, V6 Bonfil R., 1998, FOOTPRINT DISTANT WA, P11 Campling L., 2015, TARIFF ESCALATION PR FAO, 2014, STAT WORLD FISH AQ 2 FAO, 2012, STAT WORLD FISH AQ 2 FAO, 2001, 638 FAO Food and Agriculture Organization of the United Nations (OECD), 2015, OECD FAO AGR OUTL Hannesson R., 2001, EFFECTS LIBERALIZING Henson S, 2009, IMPACTS PRIVATE FOOD Keithly W. R., 1999, MARINE RESOURCE EC, V14, P151 Manarungsan S., 2005, AGR RURAL DEV DISCUS [Megapesca Lda Oceanic Developpement], 2009, AN EXP SEQ DEV COUNT MRAG, 2000, DFID POL RES PROGR P MRAG, 2009, REV FISH SUST INF SC National Oceanic and Atmospheric Administration (NOAA), 2013, LEV PLAYING FIELD NO OECD, 2006, FIN SUPP OECD FISH I OECD, 2000, TRANS RESP FISH EC P Pauly D., 2006, FISHERIES CTR RES RE, V14 Pramod G, 2014, MAR POLICY, V48, P102, DOI 10.1016/j.marpol.2014.03.019 Qalo V., 2008, BILATERALISM DEV EME Roheim C. A., 2006, TRADE MARKETPLACE ME Roheim CA, 2009, MAR RESOUR ECON, V24, P301, DOI 10.1086/mre.24.3.42629657 Rothwell D. R., 2010, INT LAW SEA Sumaila U. R., 2002, FISH, V3 Swartz W., 2013, OCEAN GLOBAL SYSTEM Swartz W, 2010, MAR POLICY, V34, P1366, DOI 10.1016/j.marpol.2010.06.011 Tall A., 2015, IDENTIFYING POLICY S, V9 [US-EU Transatlantic Trade and Investment Partnership Trade and Sustainable Development EC], 2013, TRAD SUST DEV INT EU Von Moltke A., 2011, EARTHSCAN Westlund L., 2004, GUIDE IDENTIFYING AS World Bank-FAO, 2013, 03 FAO WORLD BANK *WORLD TRAD ORG, 1999, LEG TEXTS RES UR ROU NR 36 TC 7 Z9 8 U1 0 U2 25 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0308-597X EI 1872-9460 J9 MAR POLICY JI Mar. Pol. PD JUL PY 2016 VL 69 BP 181 EP 188 DI 10.1016/j.marpol.2015.12.019 PG 8 WC Environmental Studies; International Relations SC Environmental Sciences & Ecology; International Relations GA DN7AX UT WOS:000377228800020 DA 2019-04-09 ER PT J AU Pasimeni, F Pasimeni, P AF Pasimeni, Francesco Pasimeni, Paolo TI An Institutional Analysis of the Europe 2020 Strategy SO SOCIAL INDICATORS RESEARCH LA English DT Article DE Europe 2020 Strategy; Europe 2020 Index; Institutions; Indicators; Social capital; Governance ID GOVERNMENT EFFECTIVENESS; ECONOMIC-DEVELOPMENT; TRUST; TRADE; GOVERNANCE; SUPPORT; GROWTH; POLICY AB The inherent complexity of the Europe 2020 Strategy, focused on areas where the European Commission has not full jurisdictional competence, increases the relevance of a timely and precise monitoring system and of effective and efficient institutional settings. This paper performs a quantitative evaluation of countries' performances, using the Europe 2020 Index (Pasimeni in Soc Indic Res 110(2): 613-635, 2011. doi:10.1007/s11205-011-9948-9). We observe differences among countries and across time, and investigate their determinants by means of a model including potential explanatory variables, such as level of wealth, growth, sustainability of public finances and institutions. We refer to institutions in the sense of North (J Econ Perspect 5(1):97-112, 1991), and apply the distinction between formal and informal ones. The analysis confirms the importance of formal and informal institutions, both in absolute and in relative terms, compared with the other factors considered. Institutional variables, such as good governance and social capital, are the most significant ones and have the strongest estimated effects on countries' performances. C1 [Pasimeni, Paolo] Commiss European Communities, Directorate Gen Employment & Social Affairs, B-1049 Brussels, Belgium. [Pasimeni, Francesco] Univ Sussex, Sci & Technol Policy Res, SPRU, Brighton, E Sussex, England. RP Pasimeni, P (reprint author), Commiss European Communities, Directorate Gen Employment & Social Affairs, B-1049 Brussels, Belgium. EM F.Pasimeni@sussex.ac.uk; Paolo.Pasimeni@ec.europa.eu CR ABREU D, 1988, ECONOMETRICA, V56, P383, DOI 10.2307/1911077 Acemoglu D, 2001, AM ECON REV, V91, P1369, DOI 10.1257/aer.91.5.1369 Acemoglu D, 2003, J MONETARY ECON, V50, P49, DOI 10.1016/S0304-3932(02)00208-8 Acemoglu D., 2010, REV EC I, V1, P1 Adams-Kane J., 2014, WORLD BANK POLICY RE Afonso A., 2007, 711 ECB Alfaro L., 2005, W11901 NBER Anderson JE, 2002, REV ECON STAT, V84, P342, DOI 10.1162/003465302317411587 ARROW KJ, 1972, PHILOS PUBLIC AFF, V1, P343 Azfar O., 2005, CRIME RATES CRI 0510 Beugelsdijk S, 2004, OXFORD ECON PAP, V56, P118, DOI 10.1093/oep/56.1.118 Bjornskov C, 2003, KYKLOS, V56, P3, DOI 10.1111/1467-6435.00207 Blume L, 2013, EUR J POLIT ECON, V29, P236, DOI 10.1016/j.ejpoleco.2012.10.004 Bourdieu P, 1986, HDB THEORY RES SOCIO, P241, DOI DOI 10.1002/9780470755679.CH15 Bruderl J, 1998, SMALL BUS ECON, V10, P213, DOI 10.1023/A:1007997102930 BUITER W. H, 1993, EXCESSIVE DEFICITS S Chang HJ, 2011, J I ECON, V7, P473, DOI 10.1017/S1744137410000378 Clarke G. R. G., 2001, Journal of International Development, V13, P1097, DOI 10.1002/jid.841 Coase R, 1998, AM ECON REV, V88, P72 Coase RH, 1937, ECONOMICA-NEW SER, V4, P386, DOI 10.1111/j.1468-0335.1937.tb00002.x Coase R. H., 1984, J INST THEOR ECON, V140, P229 COLE HL, 1992, J POLIT ECON, V100, P1092, DOI 10.1086/261855 COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943 Commons JR, 1931, AM ECON REV, V21, P648 Dakhli M, 2004, ENTREP REGION DEV, V16, P107, DOI 10.1080/08985620410001677835 Delors J, 2013, JCMS-J COMMON MARK S, V51, P169, DOI 10.1111/jcms.12007 Dixit A, 2009, AM ECON REV, V99, P5, DOI 10.1257/aer.99.1.5 Djankov S, 2002, Q J ECON, V117, P1, DOI 10.1162/003355302753399436 Dollar D, 2003, J MONETARY ECON, V50, P133, DOI 10.1016/S0304-3932(02)00206-4 Dornbusch R, 1997, AM ECON REV, V87, P221 Dornbusch R., 1996, DEBT MONETARY POLICY, V5573 Easterly W., 2002, J MACROMARKETING, V22, P136 Erixon F., 2010, EUROPEAN VIEW, V9, P29, DOI DOI 10.1007/S12290-010-0120-8 Fukuyama F., 1995, TRUST SOCIAL VIRTUES Glaeser EL, 2004, J ECON GROWTH, V9, P271, DOI 10.1023/B:JOEG.0000038933.16398.ed Glaeser EL, 2002, ECON J, V112, pF437, DOI 10.1111/1468-0297.00078 Greenspan A., 2007, AGE TURBULENCE GREIF A, 1993, AM ECON REV, V83, P525 Gros D., 2012, EUROPE 2020 STRATEGY Hall RE, 1999, Q J ECON, V114, P83, DOI 10.1162/003355399555954 Helliwell JF, 2009, INT EVIDENCE SOCIAL Hodgson GM, 1998, J ECON LIT, V36, P166 Inglehart Ronald, 1999, DEMOCRACY TRUST, P88 Karlan DS, 2005, AM ECON REV, V95, P1688, DOI 10.1257/000282805775014407 Kaufmann D., 2010, 5430 WORLD BANK Knack S, 1997, Q J ECON, V112, P1251, DOI 10.1162/003355300555475 KREPS DM, 1982, J ECON THEORY, V27, P245, DOI 10.1016/0022-0531(82)90029-1 Kurtz MJ, 2007, J POLIT, V69, P538, DOI 10.1111/j.1468-2508.2007.00549.x Kyriacou AP, 2011, ECON LETT, V111, P191, DOI 10.1016/j.econlet.2011.02.019 Lambsdorff J. G., 2003, ECON GOV, V4, P229, DOI DOI 10.1007/S10101-002-0060-0 LaPorta R, 1997, J FINANC, V52, P1131, DOI 10.1111/j.1540-6261.1997.tb02727.x Lee SY, 2009, J COMP POLICY ANAL, V11, P249, DOI 10.1080/13876980902888111 Levchenko A. A., 2004, IMF WORKING PAPERS Magalhaes PC, 2014, EUR J POLIT RES, V53, P77, DOI 10.1111/1475-6765.12024 MAURO P, 1995, Q J ECON, V110, P681, DOI 10.2307/2946696 North D. C., 1993, ECONWPA EC HIST NORTH DC, 1991, J ECON PERSPECT, V5, P97, DOI 10.1257/jep.5.1.97 OECD, 2001, WELL BEING NAT Olson M., 1982, RISE DECLINE NATIONS Ostrom E., 1999, SOCIAL CAPITAL MULTI Parada J. J., 2001, OECONOMICUS, V5, P46 Pasimeni P., 2011, SOCIAL INDICATORS RE, V110, P613, DOI DOI 10.1007/S11205-011-9948-9 Pasimeni P., 2012, INT J INNOVATION REG, V4, P365, DOI DOI 10.1504/IJIRD.2012.048986 Pugno M., 2012, WORLD BANK WORKING P, V5945 Putnam R. D, 2000, BOWLING ALONE COLLAP Putnam Robert, 1993, MAKING DEMOCRACY WOR Rodrik D, 2004, J ECON GROWTH, V9, P131, DOI 10.1023/B:JOEG.0000031425.72248.85 Rodrik D, 2008, ONE EC MANY RECIPES Rodrik D., 2003, SEARCH PROSPERITY AN Rose R, 2000, SOC SCI MED, V51, P1421, DOI 10.1016/S0277-9536(00)00106-4 ROSENBERG M, 1956, AM SOCIOL REV, V21, P690, DOI 10.2307/2088419 Sabatini F., 2009, J SOCIO-ECON, V38, P429, DOI DOI 10.1016/J.SOCEC.2008.06.001 Sabatini F, 2008, KYKLOS, V61, P466, DOI 10.1111/j.1467-6435.2008.00413.x Sachs JD, 1997, AM ECON REV, V87, P184 Sarcinelli M., 2010, MONETA CREDITO, V63, P285 Serageldin I., 2000, SOCIAL CAPITAL MULTI Sobel J, 2002, J ECON LIT, V40, P139 Toya H., 2012, CESIFO WORKING PAPER Uslaner EM, 2003, GENERATING SOCIAL CAPITAL: CIVIL SOCIETY AND INSTITUTIONS IN COMPARATIVE PERSPECTIVE, P171 Veblen T., 1898, Q J ECON, V12, P373, DOI DOI 10.2307/1882952 Williamson OE, 1975, MARKETS HIERARCHIES, P26 Williamson QE, 2000, J ECON LIT, V38, P595 Wilson W. J., 1987, TRULY DISADVANTAGED Woolcock M, 1998, THEOR SOC, V27, P151, DOI 10.1023/A:1006884930135 Zak PJ, 2001, ECON J, V111, P295, DOI 10.1111/1468-0297.00609 NR 85 TC 13 Z9 13 U1 1 U2 18 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0303-8300 EI 1573-0921 J9 SOC INDIC RES JI Soc. Indic. Res. PD JUL PY 2016 VL 127 IS 3 BP 1021 EP 1038 DI 10.1007/s11205-015-1013-7 PG 18 WC Social Sciences, Interdisciplinary; Sociology SC Social Sciences - Other Topics; Sociology GA DO2NV UT WOS:000377617600005 DA 2019-04-09 ER PT J AU Bark, RH Robinson, CJ Flessa, KW AF Bark, Rosalind H. Robinson, Catherine J. Flessa, Karl W. TI Tracking cultural ecosystem services: water chasing the Colorado River restoration pulse flow SO ECOLOGICAL ECONOMICS LA English DT Article DE Transboundary; Restoration; Pulse flow; Social values; Socio-hydrology; Monitoring; Cultural ecosystem services; Public good ID SUSTAINABILITY SCIENCE; SOCIO-HYDROLOGY; MANAGEMENT; VALUES; AUSTRALIA; OPINION; MURRAY; POLICY; BASIN AB The release of environmental flows for ecological restoration is a challenge for water policymakers and managers as it involves complex trade-offs between productive and ecosystem uses of water. While it is crucial to demonstrate that such environmental flows produce the desired hydro-ecological results, allocation of environmental water is also influenced by perceived social values of this water. This research draws on the sub-field of socio-hydrology to track two-way feedbacks between humans and environmental flows and shows why and how social responses to river restoration can be monitored. Media coverage, posted comments and in-person interviews were used to track the responses of stakeholders who 'chased' the progress of the 2014 "pulse flow" down the Colorado River. These data framed in the cultural ecosystem systems typology revealed the temporal patterns and dynamics of dramatic shifts in socio-hydrologic processes and highlight the value of understanding the human wellbeing benefits and complex social values that are affected by freshwater restoration. This experimental and mixed evidence approach is useful for contexts where multiple stakeholders shape water resource management and we suggest it can be used by water decision-makers in their efforts to understand and appropriately respond to the social-ecological dynamics of a changing river system. (C) 2016 Elsevier B.V. All rights reserved. C1 [Bark, Rosalind H.] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England. [Robinson, Catherine J.] CSIRO, Land & Water Flagship, POB 2583, Brisbane, Qld 4001, Australia. [Flessa, Karl W.] Univ Arizona, Dept Geosci, Tucson, AZ 85721 USA. RP Bark, RH (reprint author), Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England. EM R.H.Bark@leeds.ac.uk; Catherine.Robinson@csiro.au; kflessa@email.arizona.edu RI Robinson, Cathy/D-3349-2011; Bark, Rosalind/D-3278-2011 OI Bark, Rosalind/0000-0002-9876-9322 FU European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [659449] FX We thank the Distinguished Visiting Scientist programme of CSIRO, the Payne Scott Award, the Minute 319 Delta Science Team, Dr. Nancy Brass, Dr. Benjamin Docker for review of an earlier version of this paper, and all the other water chasers. This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 659449. A copy of the database for the comments and the summary information from the interviews is available upon request, please contact R.H.Bark@leeds.ac.uk. Identifying data from the interviews, i.e. the consent form, is confidential as per CSIRO ethics. CR Bark R. H., 2014, WATER RESOUR EC, P43 Bark Rosalind H., 2015, International Journal of Biodiversity Science Ecosystem Services & Management, V11, P239, DOI 10.1080/21513732.2014.983549 Bennett E, 2014, FRONT ECOL ENVIRON, V12, P259, DOI 10.1890/1540-9295-12.5.259 Blair P., 2015, HYDROL EARTH SYST SC, P8761 Caldas MM, 2015, P NATL ACAD SCI USA, V112, P8157, DOI 10.1073/pnas.1510010112 Chan KMA, 2012, ECOL ECON, V74, P8, DOI 10.1016/j.ecolecon.2011.11.011 Collins A, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003353 Costanza R, 2008, BIOL CONSERV, V141, P350, DOI 10.1016/j.biocon.2007.12.020 Cummings JN, 2002, GROUP DYN-THEOR RES, V6, P78, DOI 10.1037//1089-2699.6.1.78 Eden S, 2000, ENVIRON PLANN D, V18, P257, DOI 10.1068/d180257 Eden S, 2006, ENVIRON PLANN C, V24, P661, DOI 10.1068/c0608j Festa D., 2014, LAS VEGAS REV J 0529 Flessa K., 2014, MINUTE 319 COLORADO Flessa Karl W., 2013, Eos, Transactions American Geophysical Union, V94, P485, DOI 10.1002/2013EO500001 Haines R, 2014, GROUP DECIS NEGOT, V23, P765, DOI 10.1007/s10726-012-9318-2 Hampton K. N, 2014, SOCIAL MEDIA SPIRAL Harder MK, 2014, J ENVIRON MANAGE, V139, P120, DOI 10.1016/j.jenvman.2014.02.022 Harris GP, 2012, FRESHWATER BIOL, V57, P91, DOI 10.1111/j.1365-2427.2011.02640.x Hundley N., 2009, WATER W COLORADO RIV, P433 Jacobs K., 2012, P NATL ACAD SCI US Jax K, 2013, ECOL ECON, V93, P260, DOI 10.1016/j.ecolecon.2013.06.008 Jerla C., 2011, WATER RESOURCES PLAN Kondolf GM, 2007, RESTOR ECOL, V15, P516, DOI 10.1111/j.1526-100X.2007.00247.x Loomis J, 2006, J CONTEMP WAT RES ED, V134, P4, DOI 10.1111/j.1936-704X.2006.mp134001002.x Margerum RD, 2015, CURR OPIN ENV SUST, V12, P53, DOI 10.1016/j.cosust.2014.09.003 McKenna Y. K. A., 1998, J PERS SOC PSYCHOL, V75, P681 Meretsky VJ, 2000, ENVIRON MANAGE, V25, P579, DOI 10.1007/s002670010045 NOELLENE.E, 1974, J COMMUN, V24, P43, DOI 10.1111/j.1460-2466.1974.tb00367.x Pahl-Wostl C, 2007, ECOL SOC, V12 Palmer MA, 2005, J APPL ECOL, V42, P208, DOI 10.1111/j.1365-2664.2005.01004.x Patten DT, 2001, ECOL APPL, V11, P635 Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001 Robinson C., 2014, J ENV PLANN MANAG Santana AD, 2014, JOURNAL PRACT, V8, P18, DOI 10.1080/17512786.2013.813194 Schlapfer F, 2006, WATER RESOUR RES, V42, DOI 10.1029/2006WR004940 Seidl R, 2013, WATER RESOUR RES, V49, P7077, DOI 10.1002/2013WR013988 Sivapalan M, 2014, EARTHS FUTURE, V2, P225, DOI 10.1002/2013EF000164 Sivapalan M, 2015, WATER RESOUR RES, V51, P6988, DOI 10.1002/2015WR017896 Sivapalan M, 2012, HYDROL PROCESS, V26, P1270, DOI 10.1002/hyp.8426 Syme GJ., 2010, WATER RESOUR RES, V32, P1843 Szemis JM, 2013, WATER RESOUR RES, V49, P6393, DOI 10.1002/wrcr.20518 Tapsuwan S, 2015, ECOL ECON, V110, P98, DOI 10.1016/j.ecolecon.2014.12.008 Trabucchi M, 2012, J ENVIRON MANAGE, V111, P18, DOI 10.1016/j.jenvman.2012.06.040 USBR (United States Bureau of Redamation), 2012, FIN STUD REP US DEP Wallace P., 1999, PSYCHOL INTERNET NR 45 TC 12 Z9 13 U1 7 U2 75 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-8009 EI 1873-6106 J9 ECOL ECON JI Ecol. Econ. PD JUL PY 2016 VL 127 BP 165 EP 172 DI 10.1016/j.ecolecon.2016.03.009 PG 8 WC Ecology; Economics; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology; Business & Economics GA DM9VF UT WOS:000376713100014 OA Green Published DA 2019-04-09 ER PT J AU Alt, E Craig, JB AF Alt, Elisa Craig, Justin B. TI Selling Issues with Solutions: Igniting Social Intrapreneurship in for-Profit Organizations SO JOURNAL OF MANAGEMENT STUDIES LA English DT Article DE framing tasks; institutional logics; issue selling; legitimacy judgments; social intrapreneurship; vocabularies ID CORPORATE SUSTAINABILITY; INSTITUTIONAL COMPLEXITY; MULTILEVEL THEORY; STRATEGIC CHANGE; TRADE-OFFS; MANAGERS; CONTEXT; LOGICS; SENSEMAKING; INNOVATION AB We offer an explanation of the issue selling process when issues deviate from the dominant logic of organizations. Our main objective is to articulate the multiple ways in which socially oriented innovations can be legitimated in for-profit organizations through the work of bottom-up change agents, also known as social intrapreneurs. To unpack this multiplicity, we draw on both institutional theory and the framing perspective in social movements. Specifically, we propose how sellers may advance social issues with solutions by drawing on the logic composite of both organizations and selling targets. By providing an account of the social issue selling process in for-profit organizations, we consider how the nature of an issue shapes selling efforts when it diverges from the dominant logic, and we shed light on how the content choices of sellers relate to the meaning systems of organizations and targets. C1 Anglia Ruskin Univ, Cambridge, MA USA. Northwestern Univ, Evanston, IL 60208 USA. RP Alt, E (reprint author), Lord Ashcroft Int Business Sch, East Rd, Cambridge CB1 1PT, England. EM elisa.alt@anglia.ac.uk OI Craig, Justin/0000-0002-5313-8287; Alt, Elisa/0000-0002-9128-658X CR Aguilera RV, 2007, ACAD MANAGE REV, V32, P836, DOI 10.5465/AMR.2007.25275678 Aguinis H, 2012, J MANAGE, V38, P932, DOI 10.1177/0149206311436079 Almandoz J, 2014, ADMIN SCI QUART, V59, P442, DOI 10.1177/0001839214537810 Almandoz J, 2012, ACAD MANAGE J, V55, P1381, DOI 10.5465/amj.2011.0361 Andersson LM, 2000, ACAD MANAGE J, V43, P548, DOI 10.2307/1556355 [Anonymous], 2008, SOC INTR FIELD GUID ANSOFF HI, 1980, STRATEGIC MANAGE J, V1, P131, DOI 10.1002/smj.4250010204 Ashford SJ, 1998, ADMIN SCI QUART, V43, P23, DOI 10.2307/2393590 Austin J.E., 2009, 09101 HARV BUS SCH Balogun J, 2014, J MANAGE STUD, V51, P175, DOI 10.1111/joms.12059 Bansal P, 2003, ORGAN SCI, V14, P510, DOI 10.1287/orsc.14.5.510.16765 Barnett ML, 2008, ACAD MANAGE REV, V33, P606 Battilana J, 2014, ACAD MANAG ANN, V8, P397, DOI 10.1080/19416520.2014.893615 Battilana J, 2009, ACAD MANAG ANN, V3, P65, DOI 10.1080/19416520903053598 Benford RD, 2000, ANNU REV SOCIOL, V26, P611, DOI 10.1146/annurev.soc.26.1.611 Bernstein B., 1971, CLASS CODES CONTROL Besharov ML, 2014, ACAD MANAGE REV, V39, P364, DOI 10.5465/amr.2011.0431 Bies RJ, 2007, ACAD MANAGE REV, V32, P788, DOI 10.5465/AMR.2007.25275515 Bitektine A, 2015, ACAD MANAGE REV, V40, P49, DOI 10.5465/amr.2013.0318 Bode C. S., 2013, 201307EFESTICE INSEA Brenneke M, 2010, INT REV ENTREP, V8, P157 Bulloch G., 2012, INSIDE OUT TRANSFORM Bundy J, 2013, ACAD MANAGE REV, V38, P352, DOI 10.5465/amr.2011.0179 BURGELMAN RA, 1983, ADMIN SCI QUART, V28, P223, DOI 10.2307/2392619 Campbell John, 2005, SOCIAL MOVEMENTS ORG, P41 Carroll AB, 2010, INT J MANAG REV, V12, P85, DOI 10.1111/j.1468-2370.2009.00275.x Cornelissen JP, 2015, ACAD MANAGE REV, V40, P10, DOI 10.5465/amr.2014.0381 Cornelissen JP, 2014, ACAD MANAG ANN, V8, P181, DOI 10.1080/19416520.2014.875669 Cornelissen JP, 2011, ORGAN STUD, V32, P1701, DOI 10.1177/0170840611425729 Crane A, 2000, ORGAN STUD, V21, P673, DOI 10.1177/0170840600214001 Creed WED, 2002, ORGAN RES METHODS, V5, P34, DOI 10.1177/1094428102051004 Creed WED, 2002, ORGAN SCI, V13, P475, DOI 10.1287/orsc.13.5.475.7814 Crilly D, 2012, STRATEGIC MANAGE J, V33, P1174, DOI 10.1002/smj.1964 Dacin MT, 2011, ORGAN SCI, V22, P1203, DOI 10.1287/orsc.1100.0620 Davis G., 2015, CHANGING YOUR CO INS De Clercq D, 2011, J MANAGE STUD, V48, P1269, DOI 10.1111/j.1467-6486.2010.00999.x DUTTON JE, 1987, STRATEGIC MANAGE J, V8, P279, DOI 10.1002/smj.4250080306 Dutton JE, 1997, STRATEGIC MANAGE J, V18, P407, DOI 10.1002/(SICI)1097-0266(199705)18:5<407::AID-SMJ881>3.0.CO;2-J DUTTON JE, 1993, ACAD MANAGE REV, V18, P397, DOI 10.2307/258903 Dutton JE, 2002, ORGAN SCI, V13, P355, DOI 10.1287/orsc.13.4.355.2949 Dutton JE, 2001, ACAD MANAGE J, V44, P716, DOI 10.2307/3069412 ELKINGTON J, 1994, CALIF MANAGE REV, V36, P90, DOI 10.2307/41165746 Etzion D, 2010, ORGAN SCI, V21, P1092, DOI 10.1287/orsc.1090.0494 Fairclough N., 2003, ANAL DISCOURSE TEXTU Fiss PC, 2006, ACAD MANAGE J, V49, P1173 Freeman R., 1984, STRATEGIC MANAGEMENT Friedland R, 1991, NEW I ORG ANAL, P232 Gao JJ, 2013, J BUS ETHICS, V112, P241, DOI 10.1007/s10551-012-1245-2 Gattiker TF, 2014, J BUS LOGIST, V35, P318, DOI 10.1111/jbl.12073 Goffman E., 1981, FORMS TALK Grayson D, 2014, SOCIAL INTRAPRENEURISM AND ALL THAT JAZZ: HOW BUSINESS INNOVATORS ARE HELPING TO BUILD A MORE SUSTAINABLE WORLD, P1 Green SE, 2011, J MANAGE STUD, V48, P1662, DOI 10.1111/j.1467-6486.2011.01022.x Greenwood R, 2011, ACAD MANAG ANN, V5, P317, DOI 10.1080/19416520.2011.590299 Hahn T, 2015, ORGAN ENVIRON, V28, P255, DOI 10.1177/1086026615604446 Hahn T, 2014, ACAD MANAGE REV, V39, P463, DOI 10.5465/amr.2012.0341 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Haigh N, 2014, ORGAN ENVIRON, V27, P223, DOI 10.1177/1086026614545345 Halme M, 2012, J MANAGE STUD, V49, P743, DOI 10.1111/j.1467-6486.2012.01045.x Helms WS, 2012, ACAD MANAGE J, V55, P1120, DOI 10.5465/amj.2010.1045 Hemingway CA, 2005, J BUS ETHICS, V60, P233, DOI 10.1007/s10551-005-0132-5 Howard-Grenville JA, 2003, ACAD MANAGE EXEC, V17, P70, DOI 10.5465/AME.2003.10025199 Howard-Grenville JA, 2007, ORGAN SCI, V18, P560, DOI 10.1287/orsc.1070.0266 Howell JM, 2004, LEADERSHIP QUART, V15, P123, DOI 10.1016/j.leaqua.2003.12.008 HOWELL JM, 1990, ADMIN SCI QUART, V35, P317, DOI 10.2307/2393393 Jones C, 2008, J ORGAN BEHAV, V29, P1075, DOI 10.1002/job.556 Kaplan S, 2008, ORGAN SCI, V19, P729, DOI 10.1287/orsc.1070.0340 Kellogg KC, 2012, ORGAN SCI, V23, P1546, DOI 10.1287/orsc.1110.0704 Kellogg KC, 2009, AM J SOCIOL, V115, P657, DOI 10.1086/603535 Kistruck GM, 2010, ENTREP THEORY PRACT, V34, P735, DOI 10.1111/j.1540-6520.2010.00371.x Kreps TA, 2011, RES ORGAN BEHAV, V31, P99, DOI 10.1016/j.riob.2011.09.008 Kwon W, 2014, J MANAGE STUD, V51, P265, DOI 10.1111/joms.12036 Lee M. S., 2013, 14005 HARV BUS SCH Lefsrud L. M., 2014, SMALL BUSINESS 21 CE, P215 Lefsrud LM, 2012, ORGAN STUD, V33, P1477, DOI 10.1177/0170840612463317 Lewis MW, 2014, CALIF MANAGE REV, V56, P58, DOI [10.1525/cmr.2014.56.3.58, 10.1525/cmr.2013.56.3.58] Lewis MW, 2000, ACAD MANAGE REV, V25, P760, DOI 10.2307/259204 Ling Y, 2005, J INT BUS STUD, V36, P637, DOI 10.1057/palgrave.jibs.8400166 Ling Y, 2012, J FAM BUS STRATEG, V3, P220, DOI 10.1016/j.jfbs.2012.10.002 Loewenstein J, 2012, ACAD MANAG ANN, V6, P41, DOI 10.1080/19416520.2012.660763 Mair J, 2006, J WORLD BUS, V41, P36, DOI 10.1016/j.jwb.2005.09.002 Mair J, 2015, ORGAN STUD, V36, P713, DOI 10.1177/0170840615580007 Markham SK, 2010, J PROD INNOVAT MANAG, V27, P402, DOI 10.1111/j.1540-5885.2010.00724.x Martens ML, 2007, ACAD MANAGE J, V50, P1107 McPherson CM, 2013, ADMIN SCI QUART, V58, P165, DOI 10.1177/0001839213486447 MEYERSON DE, 1995, ORGAN SCI, V6, P585, DOI 10.1287/orsc.6.5.585 Net Impact, 2009, MAK YOUR IMP WORK PR OLIVER C, 1991, ACAD MANAGE REV, V16, P145, DOI 10.2307/258610 Olsen M, 2009, CALIF MANAGE REV, V51, P100, DOI 10.2307/41166507 Pache AC, 2013, ACAD MANAGE J, V56, P972, DOI 10.5465/amj.2011.0405 Pandza K, 2011, J MANAGE STUD, V48, P1015, DOI 10.1111/j.1467-6486.2010.00952.x Piderit SK, 2003, J MANAGE STUD, V40, P1477, DOI 10.1111/1467-6486.00388 Pinkse J, 2010, BUS STRATEG ENVIRON, V19, P261, DOI 10.1002/bse.677 Porter ME, 2006, HARVARD BUS REV, V84, P78 Prahalad C.K., 2002, STRATEGY BUSINESS, V26, P1, DOI DOI 10.2139/SSRN.914518 Ren CR, 2011, J MANAGE, V37, P1586, DOI 10.1177/0149206310397769 Rogan M., 2014, ACCENTURE DEV PARTNE Rokeach M, 1973, NATURE HUMAN VALUES Rouleau L, 2005, J MANAGE STUD, V42, P1413, DOI 10.1111/j.1467-6486.2005.00549.x Rouleau L, 2011, J MANAGE STUD, V48, P953, DOI 10.1111/j.1467-6486.2010.00941.x Santos FM, 2012, J BUS ETHICS, V111, P335, DOI 10.1007/s10551-012-1413-4 Schultz M, 2012, J MANAGE INQUIRY, V21, P107, DOI 10.1177/1056492611419800 Scully M, 2002, RES SOC ORG, V19, P125 Sharma G, 2013, J APPL BEHAV SCI, V49, P95, DOI 10.1177/0021886312471375 Simpson G., 2012, LOW COST DIAGNOSTICS Smets M, 2015, ACAD MANAGE J, V58, P932, DOI 10.5465/amj.2012.0638 Smith WK, 2013, BUS ETHICS Q, V23, P407, DOI 10.5840/beq201323327 Smith WK, 2011, ACAD MANAGE REV, V36, P381, DOI 10.5465/AMR.2011.59330958 SNOW DA, 1986, AM SOCIOL REV, V51, P464, DOI 10.2307/2095581 Snow DA, 2014, MOBILIZATION, V19, P23 Snow David A., 1992, FRONTIERS SOCIAL MOV, P133 Snow David A., 1988, INT SOCIAL MOVEMENT, P197 Sonenshein S., 2012, USING POSITIVE LENS, P49 Sonenshein S, 2006, ACAD MANAGE J, V49, P1158 Sonenshein S, 2016, ACAD MANAGE REV, V41, P349, DOI 10.5465/amr.2013.0425 Sonenshein S, 2014, ACAD MANAGE J, V57, P7, DOI 10.5465/amj.2010.0445 Sonenshein S, 2010, ACAD MANAGE J, V53, P477, DOI 10.5465/AMJ.2010.51467638 Spector M., 1987, CONSTRUCTING SOCIAL Spicer A, 2010, J MANAGE STUD, V47, P913, DOI [10.1111/j.1467-6486.2010.00915.x, 10.1111/j.1467-6486.2009.00915.x] SUCHMAN MC, 1995, ACAD MANAGE REV, V20, P571, DOI 10.2307/258788 SWIDLER A, 1986, AM SOCIOL REV, V51, P273, DOI 10.2307/2095521 Tannen D., 1985, QUADERNI SEMANTICA, V6, P326 TEDx Talks, 2013, BE CHANG YOU WANT SE Tost LP, 2011, ACAD MANAGE REV, V36, P686, DOI 10.5465/amr.2010.0227 vansGinhoven S. C., 2013, SLUM LOGISTICS MOBIL Weerawardena J, 2012, J PUBLIC POLICY MARK, V31, P91, DOI 10.1509/jppm.11.034 Zald M., 2005, SOCIAL MOVEMENTS ORG, P335 Zald MN, 2008, ADMIN SCI QUART, V53, P568, DOI 10.2189/asqu.53.3.568 ZALD MN, 1978, AM J SOCIOL, V83, P823, DOI 10.1086/226634 NR 128 TC 2 Z9 3 U1 12 U2 99 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0022-2380 EI 1467-6486 J9 J MANAGE STUD JI J. Manage. Stud. PD JUL PY 2016 VL 53 IS 5 SI SI BP 794 EP 820 DI 10.1111/joms.12200 PG 27 WC Business; Management SC Business & Economics GA DN6UP UT WOS:000377212300005 OA Green Published DA 2019-04-09 ER PT J AU Tolentino-Zondervan, F Berentsen, P Bush, S Idemne, J Babaran, R Lansink, AO AF Tolentino-Zondervan, Frazen Berentsen, Paul Bush, Simon Idemne, Joseph Babaran, Ricardo Lansink, Alfons Oude TI Comparison of Private Incentive Mechanisms for Improving Sustainability of Filipino Tuna Fisheries SO WORLD DEVELOPMENT LA English DT Article DE Philippines; private incentive mechanisms; sustainability; tuna fishery; value chain ID GLOBAL VALUE CHAINS; DEVELOPING-COUNTRIES; ENVIRONMENTAL CONCERNS; INTEGRATING POVERTY; INTERNATIONAL-TRADE; FISHING COMMUNITIES; GOVERNANCE; CERTIFICATION; STANDARDS; NETWORKS AB This paper analyzes the influence of three private incentive mechanisms over decision making related to improved sustain ability of fishing practices in Filipino tuna fisheries. The three mechanisms compared are the World Wildlife Fund for Nature's fishery improvement project model, Marine Stewardship Council certification, and the International Seafood Sustainability Foundation Pro Active Vessel Register. The main question addressed in this paper is how and to what extent the private incentive mechanisms support the development of fisher capabilities to respond to the requirements set out by these mechanisms. Applying a global value chain approach to analyze results collected from key actors involved in Philippine tuna fishers contributing to both domestic and regional economic development in the Western Pacific, we explore the structure and function of these private incentive mechanisms in achieving both environmental and economic development outcomes. Our results show that these private incentive mechanisms deliver different direct and indirect incentives for changing to more sustainable fishing practices, and that the success of these mechanisms is dependent on the extent to which the mechanisms support the development of target fisher capabilities to comply with their sustainability requirements. We conclude that the future success of these incentive mechanisms depends for a large part on stricter sustainability requirements, but also on the capacity of the mechanisms to incentivize the inclusion of more developing country fishers. These findings contribute to a wider understanding of how the capabilities of developing country producers are influenced by their relationship with chain and non chain actors, and with the wide institutional arrangements that the producers operate in. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Tolentino-Zondervan, Frazen; Berentsen, Paul; Bush, Simon; Lansink, Alfons Oude] Wageningen Univ, NL-6700 AP Wageningen, Netherlands. [Idemne, Joseph; Babaran, Ricardo] Univ Philippines Visayas, Iloilo, Philippines. RP Lansink, AO (reprint author), Wageningen Univ, NL-6700 AP Wageningen, Netherlands. RI Berentsen, Paul/P-6457-2014 OI Berentsen, Paul/0000-0001-9675-1041; Bush, Simon/0000-0002-6689-2246; BABARAN, RICARDO/0000-0003-4652-3619 FU BESTTuna Programme under Interdisciplinary Research and Education Fund (INREF) of the Wageningen University; University of the Philippines Visayas FX This research is funded by the BESTTuna Programme under Interdisciplinary Research and Education Fund (INREF) of the Wageningen University, and the University of the Philippines Visayas. The main author would like to thank Frabelle Fishing Corporation for the logistical support during her stay in Papua New Guinea and WWF-Philippines for assisting her fieldwork in Lagonoy and Occidental Mindoro. The authors also thank the editor and the three anonymous reviewers for providing critical comments and suggestions in improving the paper. Moreover, the authors also thank Jose Ingles and Megan Bailey for their valuable comments on earlier reports of this research. Final revision accepted: January 10, 2016. CR Amekawa Y, 2013, J PEASANT STUD, V40, P189, DOI 10.1080/03066150.2012.746958 Atuna, 2015, SKJ1 8 BKK Bailey M, 2012, OCEAN COAST MANAGE, V63, P30, DOI 10.1016/j.ocecoaman.2012.03.010 Barclay K, 2008, CAPTURING WEALTH FROM TUNA: CASE STUDIES FROM THE PACIFIC, P1 Barclay K, 2010, MAR POLICY, V34, P406, DOI 10.1016/j.marpol.2009.09.003 Barrientos S, 2011, INT LABOUR REV, V150, P319, DOI 10.1111/j.1564-913X.2011.00119.x Bolwig S., 2010, MARKETS RURAL POVERT Bolwig S, 2010, DEV POLICY REV, V28, P173, DOI 10.1111/j.1467-7679.2010.00480.x Bolwig S, 2009, WORLD DEV, V37, P1094, DOI 10.1016/j.worlddev.2008.09.012 Bureau of Fisheries and Aquatic Resources, 2013, PHIL FISH PROF 2013 Bureau of Fisheries and Aquatic Resources, 2012, PHIL TUN FISH PROF Bush S. R., 2012, TRADITIONAL MARINE R, V29, P15 Bush S. R., 2014, J CLEANER PRODUCTION Bush SR, 2007, SOCIOL RURALIS, V47, P384, DOI 10.1111/j.1467-9523.2007.00441.x Bush SR, 2004, SINGAPORE J TROP GEO, V25, P32, DOI 10.1111/j.0129-7619.2004.00171.x Christensen AS, 2006, FISH RES, V81, P258, DOI 10.1016/j.fishres.2006.06.018 Collis D. J., 1994, STRATEGIC MANAGEMENT, V15, P45 Davis DF, 2008, J RETAILING, V84, P435, DOI 10.1016/j.jretai.2008.08.002 Dolan C, 2000, J DEV STUD, V37, P147, DOI 10.1080/713600072 EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557 Fairhead J, 2012, J PEASANT STUD, V39, P237, DOI 10.1080/03066150.2012.671770 Ferse SCA, 2012, COAST MANAGE, V40, P525, DOI 10.1080/08920753.2012.694801 Foley P, 2013, NEW POLIT ECON, V18, P284, DOI 10.1080/13563467.2012.684212 Gereffi G, 2005, REV INT POLIT ECON, V12, P78, DOI 10.1080/09692290500049805 Gereffi G, 1999, J INT ECON, V48, P37, DOI 10.1016/S0022-1996(98)00075-0 Gereffi G, 2001, IDS BULL-I DEV STUD, V32, P1, DOI 10.1111/j.1759-5436.2001.mp32003001.x Gibbon P., 2005, TRADING AFRICA VALUE Giuliani E, 2005, WORLD DEV, V33, P549, DOI 10.1016/j.worlddev.2005.01.002 Grafton RQ, 2006, CAN J FISH AQUAT SCI, V63, P699, DOI 10.1139/f05-247 Gulbrandsen LH, 2009, MAR POLICY, V33, P654, DOI 10.1016/j.marpol.2009.01.002 Hampton J., 2010, TUNA FISHERIES STATU Harley S., 2011, W CENTR PAC COMM 8 R Havice E, 2010, MAR POLICY, V34, P979, DOI 10.1016/j.marpol.2010.02.004 Hilborn R, 2005, PHILOS T R SOC B, V360, P47, DOI 10.1098/rstb.2004.1569 Humphrey J, 2002, REG STUD, V36, P1017, DOI 10.1080/0034340022000022198 Humphrey J., 2000, 120 IDS U SUSS Humphrey J., 2002, DEV COUNTRY FIRMS WO Iles A, 2007, J CLEAN PROD, V15, P577, DOI 10.1016/j.jclerpo.2006.06.001 Jack BK, 2008, P NATL ACAD SCI USA, V105, P9465, DOI 10.1073/pnas.0705503104 Kaplinsky R., 2000, 110 I DEV STUD Kaplinsky R., 1998, GLOBALISATION IND SU Ruddle K, 2011, HUM ORGAN, V70, P224, DOI 10.17730/humo.70.3.v4810k37717h9g01 Khiem N. T., 2010, MARKETS RURAL POVERT Kirby DS, 2014, MAR POLICY, V43, P132, DOI 10.1016/j.marpol.2013.05.004 Kiss A, 2004, TRENDS ECOL EVOL, V19, P232, DOI 10.1016/j.tree.2004.03.010 Kusumawati R, 2013, SOC NATUR RESOUR, V26, P898, DOI 10.1080/08941920.2012.723305 Langley A. D., 2008, 8 SECR PAC COMM Lopuch M., 2008, SEAFOOD ECOLABELLING, P307 Macusi ED, 2015, MAR POLICY, V62, P63, DOI 10.1016/j.marpol.2015.08.020 Marchi VD, 2013, BUSINESS STRATEGY EN, V22, P62, DOI DOI 10.1002/BSE.1738 Marine Stewardship Council, 2011, HARN MARK FORC POS E McNeely J. A., 1988, EC BIOL DIVERSITY DE Miller A., 2014, J CLEANER PRODUCTION, V1 Mitchell J, 2011, MARKETS RURAL POVERT Morrison A, 2008, OXF DEV STUD, V36, P39, DOI 10.1080/13600810701848144 Murua J., 2014, 201406 ISSF Nadvi K, 2008, J ECON GEOGR, V8, P323, DOI 10.1093/jeg/lbn003 Tran N, 2013, WORLD DEV, V45, P325, DOI 10.1016/j.worlddev.2013.01.025 North DC, 2005, PRINC ECON HIST W WO, P1 Nussbaum MC, 2003, FEM ECON, V9, P33, DOI 10.1080/1354570022000077926 Oosterveer P, 2008, OCEAN COAST MANAGE, V51, P797, DOI 10.1016/j.ocecoaman.2008.08.002 Parker RWR, 2015, J CLEAN PROD, V103, P517, DOI 10.1016/j.jclepro.2014.05.017 Parkes G, 2010, REV FISH SCI, V18, P344, DOI 10.1080/10641262.2010.516374 Perez-Aleman P, 2012, P NATL ACAD SCI USA, V109, P12344, DOI 10.1073/pnas.1000968108 Perez-Ramirez M, 2012, OCEAN COAST MANAGE, V63, P24, DOI 10.1016/j.ocecoaman.2012.03.009 Perez-Ramirez M, 2012, MAR POLICY, V36, P297, DOI 10.1016/j.marpol.2011.06.013 PLATTEAU JP, 1987, J DEV STUD, V23, P461, DOI 10.1080/00220388708422044 Ponte S., 2008, WORKING PAPER Ponte S, 2013, GLOBAL NETW, V13, P459, DOI 10.1111/glob.12011 Ponte S, 2008, WORLD DEV, V36, P159, DOI 10.1016/j.worlddev.2007.02.014 Ponte S, 2009, WORLD DEV, V37, P1637, DOI 10.1016/j.worlddev.2009.03.008 Poos JJ, 2010, ICES J MAR SCI, V67, P323, DOI 10.1093/icesjms/fsp241 Potts T., 2007, Environment, Development and Sustainability, V9, P91, DOI 10.1007/s10668-005-9006-3 Prahalad C. K., 1990, HARVARD BUSINESS REV, P1 Riisgaard L, 2010, DEV POLICY REV, V28, P195, DOI 10.1111/j.1467-7679.2010.00481.x Sampson GS, 2015, SCIENCE, V348, P504, DOI 10.1126/science.aaa4639 Schmitz H, 2000, J DEV STUD, V37, P177, DOI 10.1080/713600073 Sen A., 1990, HUMAN DEV INT DEV ST Sen A., 1993, CAPABILITY WELL BEIN Stratoudakis Y., 2015, FISHERIES RES Turner MA, 1997, J ENVIRON ECON MANAG, V33, P186, DOI 10.1006/jeem.1997.0985 Van Riel M. C., 2013, FISH FISHERIES Vera C. A., 2006, PHILIPPINES TUNA IND Warning M, 2002, WORLD DEV, V30, P255, DOI 10.1016/S0305-750X(01)00104-8 Western and Central Pacific Fisheries Commission, 2014, WCPFC REC FISH VESS Williamson OE, 2002, J ECON PERSPECT, V16, P171, DOI 10.1257/089533002760278776 Yin R. K., 2009, CASE STUDY RES DESIG, V5 NR 87 TC 7 Z9 7 U1 0 U2 15 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0305-750X J9 WORLD DEV JI World Dev. PD JUL PY 2016 VL 83 BP 264 EP 279 DI 10.1016/j.worlddev.2016.01.011 PG 16 WC Development Studies; Economics SC Development Studies; Business & Economics GA DL4TA UT WOS:000375628900018 DA 2019-04-09 ER PT J AU Peisley, RK Saunders, ME Luck, GW AF Peisley, Rebecca K. Saunders, Manu E. Luck, Gary W. TI Cost-benefit trade-offs of bird activity in apple orchards SO PEERJ LA English DT Article DE Agroecology; Trade-offs; Birds; Apples; Ecosystem services; Biological control; Invertebrates; Fruit damage ID REDUCE CATERPILLAR DAMAGE; PEST-CONTROL; FUNCTIONAL DIVERSITY; PREDATION RATES; ECONOMIC VALUE; GREAT TITS; SERVICES; LANDSCAPE; VINEYARDS; ABUNDANCE AB Birds active in apple orchards in south eastern Australia can contribute positively (e.g., control crop pests) or negatively (e.g., crop damage) to crop yields. Our study is the first to identify net outcomes of these activities, using six apple orchards, varying in management intensity, in south eastern Australia as a study system. We also conducted a predation experiment using real and artificial codling moth (Cydia pamanella) larvae (a major pest in apple crops). We found that: (1) excluding birds from branches of apple trees resulted in an average of 12.8% more apples damaged by insects; (2) bird damage to apples was low (1.9% of apples); and (3) potential benefits trading off the potential benefits (biological control) with costs (bird damage to apples), birds provided an overall net benefit to orchard growers. We found that predation of real codling moth larvae was higher than for plasticine larvae, suggesting that plasticine prey models are not useful for inferring actual predation levels. Our study shows how complex ecological interactions between birds and invertebrates affect crop yield in apples, and provides practical strategies for improving the sustainability of orchard systems. C1 [Peisley, Rebecca K.] Charles Sturt Univ, Sch Environm Sci, Albury, NSW, Australia. [Peisley, Rebecca K.; Saunders, Manu E.; Luck, Gary W.] Charles Sturt Univ, Inst Land Water & Soc, Albury, NSW, Australia. RP Peisley, RK (reprint author), Charles Sturt Univ, Sch Environm Sci, Albury, NSW, Australia.; Peisley, RK (reprint author), Charles Sturt Univ, Inst Land Water & Soc, Albury, NSW, Australia. EM rpeisley@csu.edu.au OI Saunders, Manu/0000-0003-0645-8277 FU Australian Research Council [DP140100709] FX This research was funded by an Australian Research Council Discovery Grant DP140100709 awarded to GWL The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. CR Atlas of Living Australia, 2015, LAB TRUNC Australian Bureau of Meteorology, 2015, CLIM DAT ONL Avery ML, 1996, J WILDLIFE MANAGE, V60, P929, DOI 10.2307/3802395 Bennett Andrew F., 1997, Pacific Conservation Biology, V3, P244 Benton TG, 2002, J APPL ECOL, V39, P673, DOI 10.1046/j.1365-2664.2002.00745.x Bomford M, 2002, EMU, V102, P29, DOI 10.1071/MU01028 Borkhataria RR, 2012, FLA ENTOMOL, V95, P143, DOI 10.1653/024.095.0122 Brown VA, 2015, CROP PROT, V67, P66, DOI 10.1016/j.cropro.2014.09.011 Capinera J, 2001, HDB VEGETABLE PESTS, P193 Cleveland CJ, 2006, FRONT ECOL ENVIRON, V4, P238, DOI 10.1890/1540-9295(2006)004[0238:EVOTPC]2.0.CO;2 Del Hoyo J, 1992, HDB BIRDS WORLD, V4 Del Hoyo J, 1992, HDB BIRDS WORLD, V9-15 del Hoyo J., 1992, HDB BIRDS WORLD, V1-16 Del Hoyo J, 1992, HDB BIRDS WORLD, V6 Del Hoyo J, 1992, HDB BIRDS WORLD, V2 Galeotti P, 2001, REV ECOL-TERRE VIE, V56, P373 Grasswitz TR, 2013, J APPL ENTOMOL, V137, P790, DOI 10.1111/jen.12064 Gregory RD, 2004, TECH ECOL CONSERVAT, P17 Howe A, 2009, ENTOMOL EXP APPL, V131, P325, DOI 10.1111/j.1570-7458.2009.00860.x Johnson MD, 2010, ANIM CONSERV, V13, P140, DOI 10.1111/j.1469-1795.2009.00310.x Karp DS, 2013, ECOL LETT, V16, P1339, DOI 10.1111/ele.12173 Kellermann JL, 2008, CONSERV BIOL, V22, P1177, DOI 10.1111/j.1523-1739.2008.00968.x Klatt B.K., 2014, P ROYAL SOC B, V281, P2013, DOI DOI 10.1098/RSPB.2013.2440 Klosterman ME, 2013, CROP PROT, V53, P1, DOI 10.1016/j.cropro.2013.06.004 Koh LP, 2006, BIOTROPICA, V38, P132, DOI 10.1111/j.1744-7429.2006.00114.x Kross SM, 2012, CONSERV BIOL, V26, P142, DOI 10.1111/j.1523-1739.2011.01756.x LIANG KY, 1986, BIOMETRIKA, V73, P13, DOI 10.2307/2336267 Loiselle BA, 2002, BIOTROPICA, V34, P327, DOI 10.1111/j.1744-7429.2002.tb00545.x LONG JL, 1985, AUST WILDLIFE RES, V12, P75 Lopez-Hoffman L, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0087912 Losey JE, 2006, BIOSCIENCE, V56, P311, DOI 10.1641/0006-3568(2006)56[311:TEVOES]2.0.CO;2 Luck GW, 2015, EMU, V115, P99, DOI 10.1071/MU14022 Luck Gary W, 2013, F1000Res, V2, P239, DOI 10.12688/f1000research.2-239.v2 Luck GW, 2013, WILDLIFE RES, V40, P523, DOI 10.1071/WR13079 Maas B, 2013, ECOL LETT, V16, P1480, DOI 10.1111/ele.12194 McCullagh P., 1989, GEN LINEAR MODELS Miller JR, 2000, ECOL APPL, V10, P1732, DOI 10.2307/2641235 Mols CMM, 2007, PLOS ONE, V2, DOI 10.1371/journal.pone.0000202 Mols CMM, 2002, J APPL ECOL, V39, P888, DOI 10.1046/j.1365-2664.2002.00761.x Murray DAH, 2013, AUST J ENTOMOL, V52, P227, DOI 10.1111/aen.12017 Ndang'ang'a PK, 2013, INT J PEST MANAGE, V59, P211, DOI 10.1080/09670874.2013.820005 Neeson R., 2008, ORGANIC FRUIT PRODUC Nicholas AH, 2005, BIOCONTROL, V50, P271, DOI 10.1007/s10526-004-0334-2 Peisley RK, 2015, SPRINGER SCI REV, V3, P113, DOI [10.1007/s40362-015-0035-5, DOI 10.1007/S40362-015-0035-5] Posa MRC, 2007, J TROP ECOL, V23, P27, DOI 10.1017/S0266467406003671 Puckett HL, 2009, AGR ECOSYST ENVIRON, V131, P9, DOI 10.1016/j.agee.2008.08.015 Queensland Government Department of Agriculture and Fisheries, 2015, APPL DIS PEST DESCR Romeu-Dalmau C, 2012, BIOL CONTROL, V63, P143, DOI 10.1016/j.biocontrol.2012.06.010 Sam K, 2015, ENTOMOL EXP APPL, V157, P317, DOI 10.1111/eea.12367 Saunders ME, 2016, AMBIO, V45, P4, DOI 10.1007/s13280-015-0696-y Somers CM, 2002, J APPL ECOL, V39, P511, DOI 10.1046/j.1365-2664.2002.00725.x Tscharntke T, 2008, ECOLOGY, V89, P944, DOI 10.1890/07-0455.1 Tvardikova K, 2012, J TROP ECOL, V28, P331, DOI 10.1017/S0266467412000235 Victorian Department of Environment and Primary Industries, 2014, PEST INS MIT Victorian Department of Natural Resources and Environment, 2002, BIRD FLYING FOX DAM Wanger TC, 2014, BIOL CONSERV, V171, P220, DOI 10.1016/j.biocon.2014.01.030 Watson DM, 2003, AUSTRAL ECOL, V28, P515, DOI 10.1046/j.1442-9993.2003.01308.x Williams D., 2002, CODLING MOTH GEN INF Winqvist C, 2012, ANN NY ACAD SCI, V1249, P191, DOI 10.1111/j.1749-6632.2011.06413.x NR 59 TC 6 Z9 6 U1 0 U2 43 PU PEERJ INC PI LONDON PA 341-345 OLD ST, THIRD FLR, LONDON, EC1V 9LL, ENGLAND SN 2167-8359 J9 PEERJ JI PeerJ PD JUN 30 PY 2016 VL 4 AR e2179 DI 10.7717/peerj.2179 PG 20 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA DP9DR UT WOS:000378797400004 PM 27413639 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Matthies, BD D'Amato, D Berghall, S Ekholm, T Hoen, HF Holopainen, J Korhonen, JE Lahtinen, K Mattila, O Toppinen, A Valsta, L Wang, L Yousefpour, R AF Matthies, Brent D. D'Amato, Dalia Berghall, Sami Ekholm, Tommi Hoen, Hans Fredrik Holopainen, Jani Korhonen, Jaana E. Lahtinen, Katja Mattila, Osmo Toppinen, Anne Valsta, Lauri Wang, Lei Yousefpour, Rasoul TI An ecosystem service-dominant logic? - integrating the ecosystem service approach and the service-dominant logic SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Service-dominant; Ecosystem service; Service science; Value creation; Ecosystem; Ecosystem service cascade ID VOLUNTARY ENVIRONMENTAL-PROGRAMS; CREATING SHARED VALUE; TRADE-OFFS; CO-CREATION; CORPORATE SUSTAINABILITY; FRAMEWORK; SCIENCE; PERSPECTIVE; VALUES; CONSERVATION AB Natural and business ecosystems are complex and dynamic service systems that interact through the utilization of ecosystem service offerings for human well-being. Currently, natural and business sciences have not developed a shared and common set of service-based terms or concepts for discussing ecosystem service offerings in the process of value co-creation. In this study, the ecosystem service approach was compared with marketing science's service-dominant logic. The terminology and concepts were harmonized, and the two approaches were then integrated into a service-dominant value creation (SVC) framework. The incorporation of natural ecosystems includes accounting for the flow of positive and negative impacts through associated value networks. Therefore, the term value-in-impact was proposed to describe these value flows. A case study of the global forest-based sector was then presented, demonstrating how to discuss current research challenges using the proposed framework. In conclusion, a shared service-dominant approach provides an opportunity for deeper inter-disciplinary discussion between natural and business sciences. This study represents a contribution towards the development of a holistic service science that includes consideration for natural ecosystems. The SVC framework also addresses many of the multidimensional challenges noted by previous sustainability frameworks. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Matthies, Brent D.; D'Amato, Dalia; Berghall, Sami; Holopainen, Jani; Korhonen, Jaana E.; Lahtinen, Katja; Mattila, Osmo; Toppinen, Anne; Valsta, Lauri] Univ Helsinki, FIN-00014 Helsinki, Finland. [Ekholm, Tommi] VTT, Tech Res Ctr Finland, POB 1000, FI-02044 Helsinki, Finland. [Hoen, Hans Fredrik] Norwegian Univ Life Sci, Univ Unet 3, N-1430 AS, Norway. [Wang, Lei] Zhejiang Agr & Forestry Univ, Hangzhou, Peoples R China. [Yousefpour, Rasoul] Univ Freiburg, Tennenbacher Str 4 2-OG, D-79106 Freiburg, Germany. RP Matthies, BD (reprint author), Univ Helsinki, FIN-00014 Helsinki, Finland. EM brent.matthies@helsinki.fi; dalia.damato@helsinki.fi; sami.berghall@helsinki.fi; tommi.ekholm@vtt.fi; hans.hoen@nmbu.no; jani.m.holopainen@helsinki.fi; jaana.e.korhonen@helsinki.fi; katja.lahtinen@helsinki.fi; osmo.mattila@helsinki.fi; anne.toppinen@helsinki.fi; lauri.valsta@helsinki.fi; waleland@foxmail.com; rasoul.yousefpour@ife.uni-freiburg.de OI Matthies, Brent/0000-0002-2514-4110; Toppinen, Anne/0000-0003-0910-1505; Korhonen, Jaana/0000-0001-9266-2260; Ekholm, Tommi/0000-0002-9124-6289; Valsta, Lauri/0000-0002-7555-7271; D'Amato, Dalia/0000-0002-3992-7263 FU Academy of Finland [260595, 265593]; EUMIXFOR Short Term Scientific Mission [FP1206, 170515-059236] FX Funding from the Academy of Finland (Grants no. 260595 and 265593) and the EUMIXFOR Short Term Scientific Mission (FP1206) (Grant reference no. 170515-059236) are gratefully acknowledged. We also acknowledge the helpful comments and feedback from the three anonymous reviewers and the editor. CR Aaltonen K, 2010, SCAND J MANAG, V26, P381, DOI 10.1016/j.scaman.2010.09.001 Account Ability, 2011, ACCOUNTABILITY1000 S Allee V, 2009, LEARN ORGAN, V16, P427, DOI 10.1108/09696470910993918 Amini M, 2014, J CLEAN PROD, V76, P12, DOI 10.1016/j.jclepro.2014.02.016 Anderies J. M., 2004, ECOL SOC, V9, P8 [Anonymous], 2015, ECONOMIST Arnold M., 2015, J CLEAN PROD Balmford A, 2011, ENVIRON RESOUR ECON, V48, P161, DOI 10.1007/s10640-010-9413-2 Berghall S., 2014, P 5 AHFE C ADV HUM S, P637 Bocken NMP, 2015, J IND PROD ENG, V32, P67, DOI 10.1080/21681015.2014.1000399 Bonan GB, 2008, SCIENCE, V320, P1444, DOI 10.1126/science.1155121 Borck JC, 2009, ANNU REV ENV RESOUR, V34, P305, DOI 10.1146/annurev.environ.032908.091450 Brauman KA, 2007, ANNU REV ENV RESOUR, V32, P67, DOI 10.1146/annurev.energy.32.031306.102758 Cai Z, 2013, J FOREST ECON, V19, P15, DOI 10.1016/j.jfe.2012.06.007 Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106 CARTER K, 2012, P 28 ANN ARCOM ASS R, P1479 Cashore B., 2007, REV EUROPEAN COMMUNI, V15, P158, DOI DOI 10.1111/J.1467-9388.2007.00560.X COLE LC, 1958, SCI AM, V198, P83, DOI 10.1038/scientificamerican0458-83 Convention on Biological Diversity (CBD), 1992, ART 2 US TERMS Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002 Crane A, 2014, CALIF MANAGE REV, V56, P130, DOI 10.1525/cmr.2014.56.2.130 D'Amato D., 2014, ECOSYST SERV, V14, P170 Daly H., 1994, OPERATIONALIZING SUS, P22 de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006 de Groot R. S., 1992, FUNCTIONS NATURE EVA de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7 Diaz S, 2011, P NATL ACAD SCI USA, V108, P895, DOI 10.1073/pnas.1017993108 Dietz T, 2005, ANNU REV ENV RESOUR, V30, P335, DOI 10.1146/annurev.energy.30.050504.144444 EC - European Commission, 2013, CORP SOC RESP ACC TR Edvardsson B, 2014, MARKETING THEOR, V14, P291, DOI 10.1177/1470593114534343 Fisher B, 2008, ECOL APPL, V18, P2050, DOI 10.1890/07-1537.1 Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014 Folke C, 2007, ECOL SOC, V12 GILLARD A, 1969, NATURE, V223, P500, DOI 10.1038/223500a0 Gomez-Baggethun E, 2010, ECOL ECON, V69, P1209, DOI 10.1016/j.ecolecon.2009.11.007 Gray R, 2010, ACCOUNT ORG SOC, V35, P47, DOI 10.1016/j.aos.2009.04.006 GRI-Global Reporting Initiative, 2015, REP PRINC STAND DISC Gronroos C., 2013, J ACAD MARKET SCI, V41, P113, DOI DOI 10.1007/S11747-012-0308-3 Gronroos C, 2008, EUR BUS REV, V20, P298, DOI 10.1108/09555340810886585 Gummesson E., 2007, J CUSTOMER BEHAV, V6, P113, DOI DOI 10.1362/147539207X223357 Haines-Young R., 2011, EXP M EC ACC CICES U Haines-Young RH, 2009, ECOSYSTEM ECOLOGY NE, P31, DOI DOI 10.1017/CBO9780511750458.007 Hayrinen L, 2014, SMALL-SCALE FOR, V14, P19 Heikkurinen P, 2013, J CLEAN PROD, V43, P191, DOI 10.1016/j.jclepro.2012.12.021 Heuer M, 2011, BUS STRATEG ENVIRON, V20, P211, DOI 10.1002/bse.673 Howe C, 2014, GLOBAL ENVIRON CHANG, V28, P263, DOI 10.1016/j.gloenvcha.2014.07.005 Humphreys D., 2006, LOGJAM DEFORESTATION, P116 Iansiti Marco, 2004, KEYSTONES DOMINATORS Johnston RJ, 2011, ECOL ECON, V70, P2243, DOI 10.1016/j.ecolecon.2011.07.003 Karpen IO, 2012, J SERV RES-US, V15, P21, DOI 10.1177/1094670511425697 Kelble CR, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0070766 Lahtinen K, 2015, J CULT HERIT MANAG S, V5, P290, DOI 10.1108/JCHMSD-06-2013-0025 Lahtinen K, 2014, RENEW SUST ENERG REV, V40, P1202, DOI 10.1016/j.rser.2014.07.060 Li N, 2011, FOREST POLICY ECON, V13, P113, DOI 10.1016/j.forpol.2010.06.002 Lozano R, 2008, J CLEAN PROD, V16, P1838, DOI 10.1016/j.jclepro.2008.02.008 Lozano R, 2011, J CLEAN PROD, V19, P99, DOI 10.1016/j.jclepro.2010.01.004 Lusch RF, 2014, SERVICE-DOMINANT LOGIC: PREMISES, PERSPECTIVES, POSSIBILITIES, P1 Maglio PP, 2008, J ACAD MARKET SCI, V36, P18, DOI 10.1007/s11747-007-0058-9 Marx K., 1970, CRITQUE GOTHA PROGRA Matthies BD, 2015, ECOSYST SERV, V16, P1, DOI 10.1016/j.ecoser.2015.08.006 Matthies BD, 2016, ENVIRON SCI POLICY, V55, P228, DOI 10.1016/j.envsci.2015.10.009 McShane TO, 2011, BIOL CONSERV, V144, P966, DOI 10.1016/j.biocon.2010.04.038 MEA (Millennium Ecosystem Assessment), 2003, EC HUM WELL BEING FR Moore J. F., 2006, ANTITRUST B, V51, P31 Muller F, 2012, ECOSYST SERV, V1, P26, DOI 10.1016/j.ecoser.2012.06.001 MW - Merriam-Webster, 2011, VEH NORMANN R, 1993, HARVARD BUS REV, V71, P65 Nunes B., 2015, J CLEAN PROD Payne A, 2005, J MARKETING, V69, P167, DOI 10.1509/jmkg.2005.69.4.167 Payne AF, 2008, J ACAD MARKET SCI, V36, P83, DOI 10.1007/s11747-007-0070-0 Peppard J., 2006, EUR MANAG J, V24, P1 Pigou Alfred C., 2006, EC WELFARE Pinho N, 2014, J SERV MANAGE, V25, P470, DOI 10.1108/JOSM-02-2014-0055 Pitelis CN, 2009, ORGAN STUD, V30, P1115, DOI 10.1177/0170840609346977 Ple L, 2010, J SERV MARK, V24, P430, DOI 10.1108/08876041011072546 Polasky S, 2009, ANNU REV RESOUR ECON, V1, P409, DOI 10.1146/annurev.resource.050708.144110 Porter ME, 2011, HARVARD BUS REV, V89, P62 Prakash A, 2012, J POLICY ANAL MANAG, V31, P123, DOI 10.1002/pam.20617 Probstl U, 2010, MANAGEMENT OF RECREATION AND NATURE BASED TOURISM IN EUROPEAN FORESTS, P1, DOI 10.1007/978-3-642-03145-8_1 Ramirez R, 1999, STRATEGIC MANAGE J, V20, P49, DOI 10.1002/(SICI)1097-0266(199901)20:1<49::AID-SMJ20>3.3.CO;2-U Ricardo David, 2004, PRINCIPLES POLITICAL Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Rodriguez JP, 2006, ECOL SOC, V11 Russo MV, 1997, ACAD MANAGE J, V40, P534, DOI 10.2307/257052 SCHWARTZ SH, 1994, J SOC ISSUES, V50, P19, DOI 10.1111/j.1540-4560.1994.tb01196.x Segerson K, 2013, ANNU REV RESOUR ECON, V5, P161, DOI 10.1146/annurev-resource-091912-151945 Skalen P., 2015, MARK THEORY, P1 Spangenberg JH, 2014, ECOL ECON, V104, P22, DOI 10.1016/j.ecolecon.2014.04.025 SPOHRER J, 2008, P 41 ANN HAW INT C S, P104 Spohrer J, 2007, COMPUTER, V40, P71, DOI 10.1109/MC.2007.33 STERN PC, 1993, ENVIRON BEHAV, V25, P322, DOI 10.1177/0013916593255002 STERN PC, 1994, J SOC ISSUES, V50, P65, DOI 10.1111/j.1540-4560.1994.tb02420.x TOPPINEN A., 2014, HDB FOREST RESOURCE, P444 Toppinen A., 2013, GLOBAL FOREST IND TR Troy A, 2006, ECOL ECON, V60, P435, DOI 10.1016/j.ecolecon.2006.04.007 Turner RK, 2008, ENVIRON RESOUR ECON, V39, P25, DOI 10.1007/s10640-007-9176-6 Vargo Stephen L, 2008, European Management Journal, V26, P145, DOI 10.1016/j.emj.2008.04.003 Vargo S. L., 2006, SERVICE DOMINANT LOG, P43 Vargo S. L, 2006, SERVICE DOMINANT LOG, P406 Vargo SL, 2004, J MARKETING, V68, P1, DOI 10.1509/jmkg.68.1.1.24036 Vargo SL, 2008, J ACAD MARKET SCI, V36, P25, DOI 10.1007/s11747-007-0068-7 Vargo SL, 2008, J ACAD MARKET SCI, V36, P1, DOI 10.1007/s11747-007-0069-6 Vargo SL, 2011, IND MARKET MANAG, V40, P181, DOI 10.1016/j.indmarman.2010.06.026 Vargo SL, 2009, J BUS IND MARK, V24, P373, DOI 10.1108/08858620910966255 Waage S., 2014, PRIVATE SECTOR ENGAG WCED (World Commission on Environmental and Development), 1987, OUR COMMON FUTURE Whiteman G, 2013, J MANAGE STUD, V50, P307, DOI 10.1111/j.1467-6486.2012.01073.x Wiersum K.F., 2005, SMALL SCALR FOR EC M, V4, P1, DOI DOI 10.1007/S11842-005-0001-1 Wilson MA, 2006, ECOL ECON, V60, P335, DOI 10.1016/j.ecolecon.2006.08.015 York JG, 2009, J BUS ETHICS, V85, P97, DOI 10.1007/s10551-008-9950-6 Yousefpour R, 2009, ECOL ECON, V68, P1711, DOI 10.1016/j.ecolecon.2008.12.009 NR 111 TC 10 Z9 10 U1 5 U2 63 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD JUN 15 PY 2016 VL 124 BP 51 EP 64 DI 10.1016/j.jclepro.2016.02.109 PG 14 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DL7JK UT WOS:000375816800006 DA 2019-04-09 ER PT J AU Forsius, M Akujarvi, A Mattsson, T Holmberg, M Punttila, P Posch, M Liski, J Repo, A Virkkala, R Vihervaara, P AF Forsius, Martin Akujarvi, Anu Mattsson, Tuija Holmberg, Maria Punttila, Pekka Posch, Maximilian Liski, Jari Repo, Anna Virkkala, Raimo Vihervaara, Petteri TI Modelling impacts of forest bioenergy use on ecosystem sustainability: Lammi LTER region, southern Finland SO ECOLOGICAL INDICATORS LA English DT Article DE Bioenergy; Sustainability; Indicators; Ecosystem impacts; Modelling; Carbon; Nitrogen; Biodiversity ID COARSE WOODY DEBRIS; NORWAY SPRUCE; CLIMATE-CHANGE; LOGGING RESIDUE; BOREAL FORESTS; CLEAR-CUTS; SERVICES; BIODIVERSITY; CATCHMENT; SOIL AB Increasing the use of forest biomass for energy production is an important mitigation strategy against climate change. Sustainable use of natural resources requires that these policies are evaluated, planned and implemented, taking into account the boundary conditions of the ecological systems affected. This paper describes the development and application of a quantitative modelling framework for evaluating integrated impacts of forest biomass removal scenarios on four key environmental sustainability/ecosystem service indicators: (i) carbon sequestration and balance, (ii) soil nutrient balances (base cations and nitrogen), (iii) nutrient leaching to surface waters (nitrogen and phosphorus), and (iv) dead wood biomass (used as proxy indicator for impacts on species diversity). The system is based on the use of spatial data sets, mass balance calculations, loading coefficients and dynamic modelling. The approach is demonstrated using data from an intensively studied region (Hameenlinna municipality) encompassing the Lammi LTER (Long-Term Ecosystem Research) site in southern Finland. Forest biomass removal scenarios were derived from a management-oriented large-scale forestry model (MELA) based on sample plot and stand-level data from national forest inventories. These scenarios have been developed to guide future Finnish forest management with respect to bioenergy use. Using harvest residues for district heat production reduced fossil carbon emissions but also the carbon sink of forests in the case study area. Calculations of the net removal of base cations of the different scenarios ranged between -36 to -43 meq m(-2) a(-1), indicating that the supply of base cations (soil weathering + deposition) would be enough to sustain also energy-wood harvesting. Greatly increased nutrient removal values and increasing nitrogen limitation problems were however predicted. Clear-cuttings and site preparation were predicted to increase the load of total nitrogen (4.0%) and total phosphorus (4.5%) to surface waters, compared with background leaching. The amount of dead wood has been identified as a key factor for forest species diversity in Finland. A scenario maximising harvest residues used for bioenergy production, would decrease stem dead wood biomass by about 40%, compared with a business-as-usual scenario. Clear trade-off situations could be observed in the case study area between maximising the use of energy-wood and minimising impacts on species diversity, soil carbon and nutrient stores, and nutrient leaching. The developed model system allows seeking for optimised solutions with respect to different management options and sustainability considerations. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Forsius, Martin; Akujarvi, Anu; Mattsson, Tuija; Holmberg, Maria; Punttila, Pekka; Liski, Jari; Repo, Anna; Virkkala, Raimo; Vihervaara, Petteri] Finnish Environm Inst SYKE, POB 140, FI-00251 Helsinki, Finland. [Posch, Maximilian] RIVM, CCE, POB 1, NL-3720 BA Bilthoven, Netherlands. RP Forsius, M (reprint author), Finnish Environm Inst SYKE, POB 140, FI-00251 Helsinki, Finland. EM martin.forsius@ymparisto.fi RI Holmberg, Maria/K-3454-2018 OI Holmberg, Maria/0000-0002-7165-9780; Vihervaara, Petteri/0000-0002-5889-8402; Repo, Anna/0000-0001-9708-2847 FU European Commission through the FP7-project OpenNESS [308428]; European Commission through the FP7-project ExpeER [262060]; LIFE-project MONIMET [LIFE12 ENV/FIN/000409]; Maj and Tor Nessling Foundation [201500289]; Academy of Finland [256231, 271628] FX The work was supported by the European Commission through the FP7-projects OpenNESS (grant agreement no. 308428) and ExpeER (no. 262060), and LIFE-project MONIMET (no. LIFE12 ENV/FIN/000409). The study was also supported by Maj and Tor Nessling Foundation (grant no. 201500289). The support of the Academy of Finland is also acknowledged (decision numbers 256231 (CLIMES) and 271628 (LifeWatch)). CR Agostini A, 2013, CARBON ACCOUNTING FO Aherne J, 2008, BIOGEOCHEMISTRY, V88, P233, DOI 10.1007/s10533-008-9206-7 Aherne J, 2012, BIOGEOCHEMISTRY, V107, P471, DOI 10.1007/s10533-010-9569-4 Akselsson C., 2007, WATER AIR SOIL POLL, V7, P201, DOI DOI 10.1007/S11267-006-9106-6 [Anonymous], 2009, VALTIONEUVOSTON KANS Bagstad KJ, 2013, ECOSYST SERV, V4, P117, DOI 10.1016/j.ecoser.2012.07.012 Barnosky AD, 2012, NATURE, V486, P52, DOI 10.1038/nature11018 Bentsen NS, 2012, BIOTECHNOL BIOFUELS, V5, DOI 10.1186/1754-6834-5-25 Berg B., 1991, 42 SWED U AGR SCI Berglund H., 2012, KONSEKVENSER OKAT UT, P113 Beurskens L., 2011, ECNE10069212011 EN R BEVEN K, 1993, ADV WATER RESOUR, V16, P41, DOI 10.1016/0309-1708(93)90028-E Bouget C, 2012, CAN J FOREST RES, V42, P1421, DOI [10.1139/x2012-078, 10.1139/X2012-078] Crossman ND, 2013, CURR OPIN ENV SUST, V5, P509, DOI 10.1016/j.cosust.2013.06.003 Dahlberg A, 2011, CAN J FOREST RES, V41, P1907, DOI 10.1139/X11-127 Dahlberg A, 2011, CAN J FOREST RES, V41, P1220, DOI [10.1139/X11-034, 10.1139/x11-034] DeLuca TH, 2002, NATURE, V419, P917, DOI 10.1038/nature01051 Eklof K, 2012, ECOSYSTEMS, V15, P1308, DOI 10.1007/s10021-012-9586-3 Erajaa S, 2010, SILVA FENN, V44, P203, DOI 10.14214/sf.150 Finer L, 2010, METSAISTEN VALUMA AL Finer L, 1991, SCAND J FOREST RES, V6, P113, DOI 10.1080/02827589109382654 Finnish Forest Research Institute, 2015, REG HARV POSS Forsius M, 2013, CURR OPIN ENV SUST, V5, P26, DOI 10.1016/j.cosust.2013.01.001 Forsius M, 2010, HYDROL EARTH SYST SC, V14, P2629, DOI 10.5194/hess-14-2629-2010 Fu BJ, 2011, ECOL RES, V26, P1, DOI 10.1007/s11284-010-0766-3 Fu BJ, 2015, LANDSCAPE ECOL, V30, P375, DOI 10.1007/s10980-015-0176-6 Futter MN, 2009, HYDROL RES, V40, P291, DOI 10.2166/nh.2009.101 Haberl H, 2013, GCB BIOENERGY, V5, P351, DOI 10.1111/gcbb.12071 Hakkila P, 1989, UTILIZATION RESIDUAL Hanski I., 2005, EXCELLENCE ECOLOGY, P1 Hautala H, 2004, BIODIVERS CONSERV, V13, P1541, DOI 10.1023/B:BIOC.0000021327.43783.a9 Holmberg M, 2015, LANDSCAPE ECOL, V30, P561, DOI 10.1007/s10980-014-0122-z Hyvonen R, 2008, BIOGEOCHEMISTRY, V89, P121, DOI 10.1007/s10533-007-9121-3 ICP Integrated Monitoring, 2004, ICP IM MAN PROC CALC ILVESNIEMI H, 2002, UNDERSTANDING GLOBAL, P69 Iverson L, 2014, LANDSCAPE ECOL, V29, P181, DOI 10.1007/s10980-014-9993-2 Jarvinen O, 1990, ACIDIFICATION FINLAN, P151, DOI DOI 10.1007/978-3-642-75450-0_ Johansson M, 1997, ENVIRON GEOL, V29, P158, DOI 10.1007/s002540050114 Joki-Heiskala P, 2003, WATER AIR SOIL POLL, V150, P255, DOI 10.1023/A:1026139730651 Kaarakka L, 2014, FOREST ECOL MANAG, V313, P180, DOI 10.1016/j.foreco.2013.11.009 Kallio AMI, 2013, J FOREST ECON, V19, P402, DOI 10.1016/j.jfe.2013.05.001 Karkkainen L, 2008, BIOMASS BIOENERG, V32, P934, DOI 10.1016/j.biombioe.2008.01.008 Kataja-aho S, 2012, SILVA FENN, V46, P169, DOI 10.14214/sf.53 Kortelainen P, 2006, AQUAT SCI, V68, P453, DOI 10.1007/s00027-006-0833-6 Lattimore B, 2009, BIOMASS BIOENERG, V33, P1321, DOI 10.1016/j.biombioe.2009.06.005 Lauren A, 2009, WATER AIR SOIL POLL, V196, P251, DOI 10.1007/s11270-008-9773-1 Liski J, 2002, FOREST ECOL MANAG, V169, P159, DOI 10.1016/S0378-1127(02)00306-7 Liski J, 2006, ANN FOREST SCI, V63, P687, DOI 10.1051/forest:2006049 Mace GM, 2012, TRENDS ECOL EVOL, V27, P19, DOI 10.1016/j.tree.2011.08.006 Marklund L.G., 1988, 45 SWED U AGR SCI DE, P73 Mattsson T, 2003, WATER AIR SOIL POLL, V147, P275, DOI 10.1023/A:1024525328220 Mckechnie J, 2011, ENVIRON SCI TECHNOL, V45, P789, DOI 10.1021/es1024004 Melin Y, 2010, FOREST ECOL MANAG, V260, P536, DOI 10.1016/j.foreco.2010.05.009 Mustajoki J, 2004, ENVIRON MODELL SOFTW, V19, P537, DOI 10.1016/j.envsoft.2003.07.002 National Energy and Climate Strategy, 2013, GOV REP PARL 20 MARC Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023 OLSSON M, 1993, APPL GEOCHEM S, V2, P189 Palviainen M, 2010, FOREST ECOL MANAG, V260, P1478, DOI 10.1016/j.foreco.2010.07.046 Palviainen M, 2010, FOREST ECOL MANAG, V259, P390, DOI 10.1016/j.foreco.2009.10.034 Peltola A, 2014, METSALILASTOLLINEN V Rabinowitsch-Jokinen R, 2010, SILVA FENN, V44, P51, DOI 10.14214/sf.162 Ranius T, 2004, BIOL CONSERV, V119, P51, DOI 10.1016/j.biocon.2003.10.021 Rask M, 2014, BOREAL ENVIRON RES, V19, P1 Rassi P., 2010, 2010 RED LIST FINNIS Raunio A, 2008, FINNISH ENV, V8, P1 Repo A., 2014, GCB BIOENERGY Repo A, 2012, GCB BIOENERGY, V4, P202, DOI 10.1111/j.1757-1707.2011.01124.x Searchinger TD, 2009, SCIENCE, V326, P527, DOI 10.1126/science.1178797 Sievanen R, 2014, ANN FOREST SCI, V71, P255, DOI 10.1007/s13595-013-0295-7 Siitonen Juha, 2001, Ecological Bulletins, V49, P11 Statistics Finland, 2012, GREENH GAS EM FINL 1 Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855 Tikkanen OP, 2012, EUR J FOREST RES, V131, P1411, DOI 10.1007/s10342-012-0607-8 Tikkanen OP, 2009, DIVERS DISTRIB, V15, P852, DOI 10.1111/j.1472-4642.2009.00590.x Tuomi M, 2011, ENVIRON MODELL SOFTW, V26, P1358, DOI 10.1016/j.envsoft.2011.05.009 Tuomi M, 2011, ECOL MODEL, V222, P709, DOI 10.1016/j.ecolmodel.2010.10.025 Tuomi M, 2009, ECOL MODEL, V220, P3362, DOI 10.1016/j.ecolmodel.2009.05.016 Vanhala P, 2013, CURR OPIN ENV SUST, V5, P41, DOI 10.1016/j.cosust.2012.10.015 Verkeri PJ, 2011, ECOL INDIC, V11, P27, DOI 10.1016/j.ecolind.2009.04.004 Vihervaara P, 2015, LANDSCAPE ECOL, V30, P501, DOI 10.1007/s10980-014-0137-5 Virkkala R, 2000, SUOMEN YMPARISTO, V395, P1 Wall A, 2008, FOREST ECOL MANAG, V256, P1372, DOI 10.1016/j.foreco.2008.06.044 Walmsley JD, 2010, FORESTRY, V83, P17, DOI 10.1093/forestry/cpp028 Wright RF, 1998, ECOSYSTEMS, V1, P216, DOI 10.1007/s100219900017 Ylitalo E, 2013, METSATILASTOLLINEN V Zhang LW, 2015, LANDSCAPE ECOL, V30, P535, DOI 10.1007/s10980-014-0106-z NR 86 TC 8 Z9 8 U1 2 U2 22 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD JUN PY 2016 VL 65 SI SI BP 66 EP 75 DI 10.1016/j.ecolind.2015.11.032 PG 10 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA EC5FE UT WOS:000388157700006 DA 2019-04-09 ER PT J AU Davidson, LNK Krawchuk, MA Dulvy, NK AF Davidson, Lindsay N. K. Krawchuk, Meg A. Dulvy, Nicholas K. TI Why have global shark and ray landings declined: improved management or overfishing? SO FISH AND FISHERIES LA English DT Article DE Conservation; Convention on International Trade in Endangered Species; elasmobranch; fin trade; fishing mortality; National Plans of Action ID CORAL-REEF FISHERIES; TRADE RECORDS; LIFE-HISTORY; SUSTAINABILITY; EXPLOITATION; EXTINCTION; CHIMERAS; SEAFOOD; CATCHES; MARKET AB Global chondrichthyan (shark, ray, skate and chimaera) landings, reported to the United Nations Food and Agriculture Organization (FAO), peaked in 2003 and in the decade since have declined by almost 20%. In the FAO's 2012 'State of the World's Fisheries and Aquaculture' report, the authors 'hoped' the reductions in landings were partially due to management implementation rather than population decline. Here, we tested their hypothesis. Post-peak chondrichthyan landings trajectories from 126 countries were modelled against seven indirect and direct fishing pressure measures and eleven measures of fisheries management performance, while accounting for ecosystem attributes. We found the recent improvement in international or national fisheries management was not yet strong enough to account for the recent decline in chondrichthyan landings. Instead, the landings declines were more closely related to fishing pressure and ecosystem attribute measures. Countries with the greatest declines had high human coastal population sizes or high shark and ray meat exports such as Pakistan, Sri Lanka and Thailand. While important progress had been made, country-level fisheries management measures did not yet have the strength or coverage to halt overfishing and avert population declines of chondrichthyans. Increased implementation of legally binding operational fisheries management and species-specific reporting is urgently required to avoid declines and ensure fisheries sustainability and food security. C1 [Davidson, Lindsay N. K.; Dulvy, Nicholas K.] Simon Fraser Univ, Biol Sci, Earth Ocean Res Grp, 8888 Univ Dr, Burnaby, BC V5A 1S6, Canada. [Krawchuk, Meg A.] Simon Fraser Univ, Dept Geog, Landscape & Conservat Sci Res Grp, 8888 Univ Dr, Burnaby, BC V5A 1S6, Canada. RP Davidson, LNK (reprint author), Simon Fraser Univ, Biol Sci, Earth Ocean Res Grp, 8888 Univ Dr, Burnaby, BC V5A 1S6, Canada. EM ldavidso@sfu.ca OI Dulvy, Nicholas/0000-0002-4295-9725 FU Natural Science and Engineering Research Council of Canada; Canada Research Chair; Glen Gleen Scholarship in Marine Biology; J. Abbott/M. Fretwell Fellowship in Fisheries Biology; Philip and Marian McClelland Memorial Scholarship FX We thank Sonja Fordham of Shark Advocates International for her contribution to study design, data acquisition and input. We also thank Sean Anderson, Heather Brekke, Maria Jose Juan Jorda, Chris Mull, Sebastian Pardo and Rowan Trebilco for constructive comments on early drafts. Thanks to Jason Brogan, Amanda Kissel, Rylee Murray, Earth to Ocean Research Group and Statzbeers for help along the way. We also thank two anonymous reviewers for helpful comments on earlier drafts. This project was funded by the Natural Science and Engineering Research Council of Canada and through Canada Research Chair, Glen Gleen Scholarship in Marine Biology, J. Abbott/M. Fretwell Fellowship in Fisheries Biology, Philip and Marian McClelland Memorial Scholarship. CR Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x Anderson SC, 2013, METHODS ECOL EVOL, V4, P971, DOI 10.1111/2041-210X.12093 Barker MJ, 2005, AQUAT CONSERV, V15, P325, DOI 10.1002/aqc.660 Biery L, 2012, J FISH BIOL, V80, P1643, DOI 10.1111/j.1095-8649.2011.03215.x Branch TA, 2013, TRENDS ECOL EVOL, V28, P409, DOI 10.1016/j.tree.2013.03.003 BRANDER K, 1981, NATURE, V290, P48, DOI 10.1038/290048a0 Burgess GH, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0098078 Bustamante C, 2013, FISH RES, V143, P174, DOI 10.1016/j.fishres.2013.02.007 Camhi M.D., 2008, SHARKS OPEN OCEAN BI, P418 Campana S.E., 2011, 2011067 SCI ADV SECR Chassot E, 2010, ECOL LETT, V13, P495, DOI 10.1111/j.1461-0248.2010.01443.x Cinner JE, 2009, CURR BIOL, V19, P206, DOI 10.1016/j.cub.2008.11.055 Clarke S, 2004, FISH FISH, V5, P53, DOI 10.1111/j.1467-2960.2004.00137.x Clarke S., 2014, STATE GLOBA IN PRESS Clarke S, 2004, SHARK PRODUCT TRADE Clarke SC, 2006, CONSERV BIOL, V20, P201, DOI 10.1111/j.1523-1739.2006.00247.x Clarke SC, 2006, ECOL LETT, V9, P1115, DOI 10.1111/j.1461-0248.2006.00968.x Clarke SC, 2013, CONSERV BIOL, V27, P197, DOI 10.1111/j.1523-1739.2012.01943.x COSEWIC, 2011, COSEWIC ASS STAT REP Costello C, 2012, SCIENCE, V338, P517, DOI 10.1126/science.1223389 Davidson LNK, 2012, SCIENCE, V338, P1538, DOI 10.1126/science.338.6114.1538 DFO, 2007, 2007046 DFO CAN SCI Doulman D.J., 2000, AUSIUU20004 Dulvy N., 2009, NATURE REPORTS CLIMA, V26, P61 Dulvy NK, 2014, PEERJ, V2, DOI 10.7717/peerj.400 Dulvy NK, 2014, ELIFE, V3, DOI 10.7554/eLife.00590 Dulvy NK, 2010, CRC MAR BIOL SER, P639 Dulvy NK, 2000, CONSERV BIOL, V14, P283, DOI 10.1046/j.1523-1739.2000.98540.x Dulvy NK, 2004, ECOL LETT, V7, P410, DOI 10.1111/j.1461-0248.2004.00593.x FAO, 2014, STAT WORLD FISH AQ FAO, 2010, STAT WORLD FISH AQ FAO, 2013, AGR PORT STAT MEAS P FAO, 2013, FISHSTAT FISHSTAT PL Field IC, 2009, FISH FISH, V10, P323, DOI 10.1111/j.1467-2979.2009.00325.x Fischer J., 2012, REV IMPLEMENTATION I Fisheries Agency, 2009, JAP NAT PLAN ACT CON Fishery Agency, 2004, TAIW NAT PLAN ACT CO Fordham S.V., 2004, AC20 INF, V22, P1 Fowler B.S., 2010, SHARK FINS EUROPE IM Fowler S.L., 2012, BACKGROUND PAPER CON Garcia VB, 2008, P R SOC B, V275, P83, DOI 10.1098/rspb.2007.1295 Gomez D.J.L., 2008, PLAN ACCION REGIONAL, P35 Gutierrez NL, 2011, NATURE, V470, P386, DOI 10.1038/nature09689 Hareide N. R., 2007, EUROPEAN SHARK FISHE Hawkins JP, 2004, CONSERV BIOL, V18, P215, DOI 10.1111/j.1523-1739.2004.00328.x Huveneers C., 2006, DASYATIS AKAJEI IUCN Jennings S, 1996, J APPL ECOL, V33, P400, DOI 10.2307/2404761 Juan-Jorda MJ, 2011, P NATL ACAD SCI USA, V108, P20650, DOI 10.1073/pnas.1107743108 Kleiber P., 2009, NOAATMNMFSPIFSC17 Lack M., 2011, FUTURE SHARKS REV AC, P1 Lam VYY, 2011, FISH FISH, V12, P51, DOI 10.1111/j.1467-2979.2010.00383.x Liaw A, 2002, R NEWS, V2, P18, DOI DOI 10.1177/154405910408300516 Loreau M, 2001, SCIENCE, V294, P804, DOI 10.1126/science.1064088 Massa A., 2006, MUSTELUS SCHMITTI IU Mellin C, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.1993 Mora C, 2008, P R SOC B, V275, P767, DOI 10.1098/rspb.2007.1472 Mora C, 2009, PLOS BIOL, V7, DOI 10.1371/journal.pbio.1000131 MRAG and Fisheries Ecosystems Restoration Research, 2008, GLOB EXT ILL FISH Myers RA, 2001, CAN J FISH AQUAT SCI, V58, P1464, DOI 10.1139/f01-082 Newton K, 2007, CURR BIOL, V17, P655, DOI 10.1016/j.cub.2007.02.054 NOAA, 2011, 2011 SPIN DOGF FISH OSPAR Commission, 2010, BACKGR DOC PORT DOGF, P1 PEW charitable trusts, 2013, GLOB SHARK CONS SANC Pitcher T. J., 1982, FISHERIES ECOLOGY Pitcher T, 2009, NATURE, V457, P658, DOI 10.1038/457658a Pompa S, 2011, P NATL ACAD SCI USA, V108, P13600, DOI 10.1073/pnas.1101525108 R Core Team, 2014, R LANG ENV STAT COMP Ricard D, 2012, FISH FISH, V13, P380, DOI 10.1111/j.1467-2979.2011.00435.x Robbins WD, 2006, CURR BIOL, V16, P2314, DOI 10.1016/j.cub.2006.09.044 Shark Advocates International, 2012, SRI LANK PROT THRESH Smith MD, 2010, SCIENCE, V327, P784, DOI 10.1126/science.1185345 Stevens J., 2003, CENTROSCYMNUS COELOL Stevens JD, 2000, ICES J MAR SCI, V57, P476, DOI 10.1006/jmsc.2000.0724 Stevens John D., 2005, P48 Strobl C, 2008, BMC BIOINFORMATICS, V9, DOI 10.1186/1471-2105-9-307 Trebilco R, 2010, AQUAT CONSERV, V20, P531, DOI 10.1002/aqc.1115 UN FAO, 2013, IPOA SHARKS United Nations Development Programme, 2011, HUM DEV REP Vincent ACJ, 2014, FISH FISH, V15, P563, DOI 10.1111/faf.12035 Watson R, 2014, FISH FISH, V15, P231, DOI 10.1111/faf.12013 White W.T., 2003, CENTROPHORUS SQUAMOS Witbooi E, 2014, INT J MAR COAST LAW, V29, P290, DOI 10.1163/15718085-12341314 NR 82 TC 51 Z9 53 U1 13 U2 127 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1467-2960 EI 1467-2979 J9 FISH FISH JI Fish. Fish. PD JUN PY 2016 VL 17 IS 2 BP 438 EP 458 DI 10.1111/faf.12119 PG 21 WC Fisheries SC Fisheries GA DU8WE UT WOS:000382495500008 HC Y HP N DA 2019-04-09 ER PT J AU Irabien, A Darton, RC AF Irabien, A. Darton, R. C. TI Energy-water-food nexus in the Spanish greenhouse tomato production SO CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY LA English DT Article DE Nexus; Energy-water-food; Sustainability; Tomato; Greenhouse production ID CONSUMPTION; RESOURCES; ALMERIA AB The nexus energy-water-food of the tomato greenhouse production in the Almeria region (Spain) has been studied following a Process Systems Analysis Method connecting the ecosystem services to the market demands with a holistic view based on Life Cycle Assessment. The management of the agri-food subsystem, the industrial subsystem and the urban subsystem plays an important role in the nexus of the E-W-F system, where transport and information technologies connect the three subsystems to the global markets. The local case study of the tomato production in Almeria (Spain) has been developed as an example of the food production under cropland restrictions, semiarid land. After study of the economic and social sustainability in time, the evolution of the ecosystem services supply is the main restriction of the system, where after the land use change in the region, water and energy supply play the mean role with a trade-off between the water quality degradation and the economic cost of the energy for water desalination. Water footprint, Carbon footprint and Chemicals footprint are useful indicators to the environmental sustainability assessment of local alternatives in the E-W-F system under study. As it is shown in the conclusions, the holistic view based on the process analysis method and the life cycle assessment methodology and indicators is an useful tool for decision support. C1 [Irabien, A.] Univ Cantabria, Dept Chem & Biomol Engn, Cantabria, Spain. [Darton, R. C.] Univ Oxford, Dept Engn Sci, Oxford, England. RP Irabien, A (reprint author), Univ Cantabria, Dept Chem & Biomol Engn, Cantabria, Spain. EM angel.irabien@unican.es; richard.darton@eng.ox.ac.uk RI Irabien, Angel/I-4395-2014 OI Irabien, Angel/0000-0002-2411-4163 CR Al-Ansari T, 2015, SUSTAIN PROD CONSUMP, V2, P52, DOI 10.1016/j.spc.2015.07.005 Amundson R, 2015, SCIENCE, V348, DOI 10.1126/science.1261071 [Anonymous], 2000, WORLD ENERGY ASSESSM Bruntland G., 1987, OUR COMMON FUTURE WO Chapagain AK, 2009, J ENVIRON MANAGE, V90, P1219, DOI 10.1016/j.jenvman.2008.06.006 Chico D.G., 2010, WATER FOOTPRINT VIRT Darton R, 2015, ASSESSING MEASURING Emec S, 2015, CLEAN TECHNOL ENVIR, V17, P1807, DOI 10.1007/s10098-015-0947-4 Fernandez-Gonzalez C, 2015, RENEW SUST ENERG REV, V47, P604, DOI 10.1016/j.rser.2015.03.018 Food and Agriculture Organisation of the United Nations (FAO), 2014, WALK NEX TALK ASS WA Galdeano-Gomez E, 2013, INT J AGR SUSTAIN, V11, P125, DOI 10.1080/14735903.2012.704306 Gilron J, 2014, CLEAN TECHNOL ENVIR, V16, P1471, DOI 10.1007/s10098-014-0853-1 Gleick PH, 1996, WATER INT, V21, P83, DOI 10.1080/02508069608686494 Hoff H., 2011, BACKGR PAP BONN2011 IMA, 2011, ANN REP ENV AND Imhoff ML, 2004, NATURE, V429, P870, DOI 10.1038/nature02619 IRENA, 2015, REN EN IN THE WAT Li Q, 2015, CLEAN TECHNOL ENVIR, DOI [10.1007/s/0098-015-1049-z, DOI 10.1007/S/0098-015-1049-Z] Oki T, 2006, SCIENCE, V313, P1068, DOI 10.1126/science.1128845 Page G, 2012, J CLEAN PROD, V32, P219, DOI 10.1016/j.jclepro.2012.03.036 Pimentel D., 2008, FOOD ENERGY SOC Rockstrom J, 2009, ECOL SOC, V14 Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855 Tahir AC, 2010, J CLEAN PROD, V18, P1598, DOI 10.1016/j.jclepro.2010.07.012 Torrellas M, 2012, INT J LIFE CYCLE ASS, V17, P863, DOI 10.1007/s11367-012-0409-8 *UN FAO, 1996, DECL WORLD FOOD SEC UNU-UNWEH, 2013, WAT SEC GLOB WAT AG WEF, 2011, GLOB RISKS 2011 NR 28 TC 5 Z9 5 U1 8 U2 71 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 1618-954X EI 1618-9558 J9 CLEAN TECHNOL ENVIR JI Clean Technol. Environ. Policy PD JUN PY 2016 VL 18 IS 5 SI SI BP 1307 EP 1316 DI 10.1007/s10098-015-1076-9 PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DS3WE UT WOS:000380712600006 DA 2019-04-09 ER PT J AU Duchin, F AF Duchin, Faye TI A Global Case-Study Framework Applied to Water Supply and Sanitation SO JOURNAL OF INDUSTRIAL ECOLOGY LA English DT Article DE industrial ecology; multiregional input-output (MRIO) database; sanitation services; scenario analysis; wastewater treatment; world trade model (WTM) AB One goal of the local-to-global research program is to explore ways to reduce, if not reverse, threats to sustainability through analysis using mathematical models applied to shared databases. This article describes a global case-study framework for reconciling top-down with bottom-up approaches so they are mutually reinforcing for identifying and evaluating the effectiveness of different scenarios describing potential future actions. A strategic selection of cases makes it possible to distinguish and represent concrete characteristics of both common and atypical situations, whereas a global model is needed to provide an integrating conceptual framework based on a theory of consumption, production, and international exchanges that captures interdependencies among activities across regions. I discuss how the results of global analyses can be useful for framing case-study questions and selecting cases, whereas the cases, in turn, identify concerns of specific stakeholders and provide detailed information, including technical data, to supplement economic databases with their accounting origins. I describe ways to enhance collaborations between top-down and bottom-up researchers, using global, multiregional input-output databases to play a mediating role, while avoiding rigidities of premature closure and incorporating diverse perspectives. Responding to the high-priority global challenge of vastly expanding effective sanitation services in developing countries is used to illustrate these ideas. C1 [Duchin, Faye] Rensselaer Polytech Inst, Dept Econ, 110 8th St, Troy, NY 12180 USA. [Duchin, Faye] Rensselaer Polytech Inst, Dept Sci & Technol Studies STS, Econ Dual Appointment, 110 8th St, Troy, NY 12180 USA. RP Duchin, F (reprint author), Rensselaer Polytech Inst, Dept Econ, 110 8th St, Troy, NY 12180 USA.; Duchin, F (reprint author), Rensselaer Polytech Inst, Dept Sci & Technol Studies STS, Econ Dual Appointment, 110 8th St, Troy, NY 12180 USA. EM duchin@rpi.edu FU U.S. National Science Foundation [1115025, 1049181] FX The author acknowledges support from the U.S. National Science Foundation for CNH grant no. 1115025, Impacts of Global Change Scenarios on Ecosystem Services from the World's Rivers, and EaSM grant no. 1049181, A Regional Earth System Model of the Northeast Corridor: Analyzing 21st Century Climate and Environment. Both projects involve cross-disciplinary collaborations that inform the positions taken in this article. The author reports no conflicts of interest. CR Alsamawi A., 2015, J IND ECOL, V20, P603 [Anonymous], 2015, EXIOBASE 2 2 Cazcarro I, 2016, J IND ECOL, V20, P446, DOI 10.1111/jiec.12414 Chakraborty LB, 2016, J IND ECOL, V20, P559, DOI 10.1111/jiec.12402 Courtonne JY, 2016, J IND ECOL, V20, P423, DOI 10.1111/jiec.12431 Duchin F, 2016, J IND ECOL, V20, P387, DOI 10.1111/jiec.12462 Gomez-Paredes J, 2016, J IND ECOL, V20, P611, DOI 10.1111/jiec.12464 Harclerode M., 2015, J IND ECOL, V20, P410 Hubacek K, 2014, J IND ECOL, V18, P7, DOI 10.1111/jiec.12082 Islam M, 2016, J IND ECOL, V20, P494, DOI 10.1111/jiec.12455 Ivanova D., 2015, J IND ECOL, V20, P526 Jiang XM, 2016, J IND ECOL, V20, P506, DOI 10.1111/jiec.12404 Lang T, 2016, J IND ECOL, V20, P462, DOI 10.1111/jiec.12396 Liang S, 2016, J IND ECOL, V20, P515, DOI 10.1111/jiec.12417 Lopez L. A., 2016, J IND ECOL, V20, P571 Prell C., 2015, J IND ECOL, V20, P537 Serrano A, 2016, J IND ECOL, V20, P547, DOI 10.1111/jiec.12454 Steen-Olsen K, 2016, J IND ECOL, V20, P582, DOI 10.1111/jiec.12405 West C. D., 2015, J IND ECOL, V20, P396 Yoochatchaval W., 2015, J IND ECOL, V20, P484 Yu Y, 2016, J IND ECOL, V20, P593, DOI 10.1111/jiec.12392 Zhang LJ, 2016, J IND ECOL, V20, P435, DOI 10.1111/jiec.12447 Zhang Y, 2016, J IND ECOL, V20, P472, DOI 10.1111/jiec.12465 NR 23 TC 6 Z9 6 U1 1 U2 14 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1088-1980 EI 1530-9290 J9 J IND ECOL JI J. Ind. Ecol. PD JUN PY 2016 VL 20 IS 3 SI SI BP 387 EP 395 DI 10.1111/jiec.12462 PG 9 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DR1VI UT WOS:000379692600002 DA 2019-04-09 ER PT J AU Zhang, Y Zheng, HM Chen, B Yu, XY Hubacek, K Wu, RL Sun, XX AF Zhang, Yan Zheng, Hongmei Chen, Bin Yu, Xiangyi Hubacek, Klaus Wu, Ruilin Sun, Xiaoxi TI Ecological Network Analysis of Embodied Energy Exchanges Among the Seven Regions of China SO JOURNAL OF INDUSTRIAL ECOLOGY LA English DT Article DE flow analysis; industrial ecology; multiregional input-output (MRIO) tables; regional integration; system ecology; utility analysis AB Regional economic development in China has resulted in an unbalanced distribution of resources and frequent exchanges of resources and products among regions. Therefore, it is necessary to understand these regional differences to support national planning to improve sustainability. In this research, we used energy data and a multiregional input-output table for China in 2002 to analyze the domestic trade among the 30 provinces and seven regions of China. We also quantified the embodied energy flows and their patterns by means of ecological network analysis and looked at different types of relationships between the regions, such as mutualistic or competing relationships. The results show that the flows connected with the Northern and Eastern regions ranked first, and those connected with the Southwestern and Northwestern regions were the smallest. Based on the flows among provinces and regions, we determined the relationships among them. Results show that more than 95% of the total relationships among the regions were exploitation, with only one competition relationship. The Eastern region received the largest input and the highest benefits from their energy exchanges with other regions. Our study of the regional flows and relationships among the regions and provinces provides useful information on the flows and consumption of embodied energy in China, thereby providing insights into the sustainability of these flows and how to promote sustainable development through regional cooperation. C1 [Zhang, Yan; Zheng, Hongmei; Chen, Bin; Wu, Ruilin; Sun, Xiaoxi] Beijing Normal Univ, Sch Environm, Beijing, Peoples R China. [Yu, Xiangyi] MEP, Solid Waste & Chem Management Ctr, Beijing, Peoples R China. [Hubacek, Klaus] Univ Maryland, Dept Geog Sci, College Pk, MD USA. RP Zhang, Y (reprint author), Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100875, Peoples R China. EM zhangyanyxy@126.com RI Chen, Bin/A-6951-2012 OI Chen, Bin/0000-0002-5488-6850 FU Fund for Innovative Research Group of the National Natural Science Foundation of China [51421065]; Program for New Century Excellent Talents in University [NCET-12-0059]; National Natural Science Foundation of China [41571521, 41171068]; Fundamental Research Funds for the Central Universities [2015KJJCA09]; National Environmental Protection Commonweal Research Project [201409073] FX This work was supported by the Fund for Innovative Research Group of the National Natural Science Foundation of China (No. 51421065), by the Program for New Century Excellent Talents in University (No. NCET-12-0059), by the National Natural Science Foundation of China (No. 41571521, 41171068), by the Fundamental Research Funds for the Central Universities (No. 2015KJJCA09), and by the National Environmental Protection Commonweal Research Project (No. 201409073). CR AASHE, 2014, STARS TECHN MAN ACUPCC, 2007, AM COLL U PRES CLIM Conway T.M., 2008, INT J SUST HIGHER ED, V9, P4, DOI DOI 10.1108/14676370810842157 Cornell S, 2012, ECOL SOC, V17, DOI 10.5751/ES-04731-1701r02 Diamond J, 2005, COLLAPSE SOC CHOOSE Eurostat, 1996, NACE REV 1 STAT CLAS Hoekstra A. Y., 2012, VALUE WATER RES REPO, V58 JIE (Journal of Industrial Ecology), 2015, J IND ECOLOGY OVERVI Leontief W, 1941, STRUCTURE AM EC 1919 Miller R. E., 1985, INPUT OUTPUT ANAL FD Peters G., 2004, WORKING PAPER Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Timmer M., 2012, WORKING PAPER Tukker A., 2014, EXIOPOL NEW ENV ACCO Tukker A., 2014, GLOBAL RESOURCE FOOT Tukker A, 2013, ECON SYST RES, V25, P1, DOI 10.1080/09535314.2012.761179 UNESCO (United Nations Educational, 2014, UNESCO I STAT UIS ST Venetoulis J., 2011, INT J SUSTAINABILITY, V2, P180 Wiedmann T, 2013, ECON SYST RES, V25, P143, DOI 10.1080/09535314.2012.761596 Wright T, 2010, INT J SUST HIGHER ED, V11, P61, DOI 10.1108/14676371011010057 NR 20 TC 6 Z9 6 U1 9 U2 38 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1088-1980 EI 1530-9290 J9 J IND ECOL JI J. Ind. Ecol. PD JUN PY 2016 VL 20 IS 3 SI SI BP 472 EP 483 DI 10.1111/jiec.12465 PG 12 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DR1VI UT WOS:000379692600009 OA Green Published DA 2019-04-09 ER PT J AU Steen-Olsen, K Wood, R Hertwich, EG AF Steen-Olsen, Kjartan Wood, Richard Hertwich, Edgar G. TI The Carbon Footprint of Norwegian Household Consumption 1999-2012 SO JOURNAL OF INDUSTRIAL ECOLOGY LA English DT Article DE carbon footprint; consumer expenditure surveys; household consumption; industrial ecology; input-analysis (IOA); Norway ID LIFE-CYCLE; ENERGY-REQUIREMENTS; CO2 EMISSIONS; IMPACTS; SUSTAINABILITY; TRUNCATION; AUSTRALIA; INCOME; TRADE; MODEL AB Environmentally extended input-output analysis is the prevailing method for national environmental footprint accounting; however, its practical usefulness for consumers and policy makers suffers from lack of detail. Several extensive global multiregional input-output (MRIO) databases have recently been released. A standard framework for linking such databases with the highly detailed household expenditure surveys that are conducted regularly by national statistics offices has the potential of providing analysts in countries worldwide with a powerful tool for in-depth analyses of their national environmental footprints. In this article, we combine the Norwegian consumer expenditure survey with a global MRIO database to assess the carbon footprint (CF) of Norwegian household consumption in 2012, as well as its annual development since 1999. We offer a didactic account of the practical challenges associated with the combination of these types of data sets and the approach taken here to address these, and we discuss what barriers still remain before such analyses can be practically conducted and provide reliable results. We find a CF of 22.3 tonnes of carbon dioxide equivalents per household in 2012, a 26% increase since 1999. Transport, housing, and food were the expenditures contributing the most toward the total footprint. CF per unit of expenditure increased with overall expenditure levels (elasticity: 1.14), notably owing to the correlation between overall household expenditure and transport activities (elasticity: 1.48). Household energy use, which is generally inelastic, is, in Norway, largely based on hydropower and hence contributes comparatively little to the overall expenditure elasticity of household CF. C1 [Steen-Olsen, Kjartan] NTNU, Dept Energy & Proc Engn, Sem Slands Vei 7, NO-7491 Trondheim, Norway. [Steen-Olsen, Kjartan; Wood, Richard; Hertwich, Edgar G.] Norwegian Univ Sci & Technol NTNU, Ind Ecol Programme, Trondheim, Norway. [Steen-Olsen, Kjartan; Wood, Richard; Hertwich, Edgar G.] Norwegian Univ Sci & Technol NTNU, Dept Energy & Proc Engn, Trondheim, Norway. [Hertwich, Edgar G.] Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511 USA. [Hertwich, Edgar G.] Yale Univ, Ctr Ind Ecol, New Haven, CT USA. RP Steen-Olsen, K (reprint author), NTNU, Ind Ecol Programme, Sem Slands Vei 7, NO-7491 Trondheim, Norway.; Steen-Olsen, K (reprint author), NTNU, Dept Energy & Proc Engn, Sem Slands Vei 7, NO-7491 Trondheim, Norway. EM kjartan.steen-olsen@ntnu.no RI Wood, Richard/E-4111-2015 OI Wood, Richard/0000-0002-7906-3324; Hertwich, Edgar/0000-0002-4934-3421 FU EU [613420] FX The authors thank Dr. Paul C. Stern for his comments and advice in the early stages of this work. The work has been funded, in part, by the EU FP7 GLAMURS project (contract 613420). CR Aamaas B, 2013, ENVIRON SCI POLICY, V33, P273, DOI 10.1016/j.envsci.2013.06.009 Denstadli J. M., 2012, REISEVANER FLY 2011 Fernandez-Villaverde J, 2007, REV ECON STAT, V89, P552, DOI 10.1162/rest.89.3.552 Fischedick M, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P739 Girod B, 2010, J IND ECOL, V14, P31, DOI 10.1111/j.1530-9290.2009.00202.x Grainger CA, 2010, ENVIRON RESOUR ECON, V46, P359, DOI 10.1007/s10640-010-9345-x Guan D, 2008, GLOBAL ENVIRON CHANG, V18, P626, DOI 10.1016/j.gloenvcha.2008.08.001 Heinonen J, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/025003 Herendeen R., 1978, ENERGY, V3, P615 Herendeen R., 1976, ENERGY, V1, P165 Hertwich EG, 2009, ENVIRON SCI TECHNOL, V43, P6414, DOI 10.1021/es803496a Hertwich EG, 2005, ENVIRON SCI TECHNOL, V39, P4673, DOI 10.1021/es0497375 HolmOy A., 2014, FORBRUKSUNDERSOKELSE Jones C, 2014, ENVIRON SCI TECHNOL, V48, P895, DOI 10.1021/es4034364 Jones CM, 2011, ENVIRON SCI TECHNOL, V45, P4088, DOI 10.1021/es102221h Kok R, 2006, ENERG POLICY, V34, P2744, DOI 10.1016/j.enpol.2005.04.006 Lenzen M, 2006, ENERGY, V31, P181, DOI 10.1016/j.energy.2005.01.009 Lenzen M, 2000, ENERGY, V25, P577, DOI 10.1016/S0360-5442(99)00088-2 Lenzen M., 2004, ECON SYST RES, V16, P391, DOI DOI 10.1080/0953531042000304272 Majeau-Bettez G, 2011, ENVIRON SCI TECHNOL, V45, P10170, DOI 10.1021/es201308x Miller R. E., 2009, INPUT OUTPUT ANAL Mongelli I, 2010, ECON SYST RES, V22, P201, DOI 10.1080/09535314.2010.501428 Mork E., 2004, HUSHOLDNINGERS FORBR OANDA, 2014, HIST EXCH RAT Ornetzeder M, 2008, ECOL ECON, V65, P516, DOI 10.1016/j.ecolecon.2007.07.022 Peters G., 2004, PRODUCTION FACTORS P Peters GP, 2007, ENVIRON SCI TECHNOL, V41, P5939, DOI 10.1021/es070108f Peters GP, 2006, J IND ECOL, V10, P89, DOI 10.1162/jiec.2006.10.3.89 Prell C, 2014, SOC FORCES, V93, P405, DOI 10.1093/sf/sou048 Proops JLR, 1999, ECOL ECON, V28, P75, DOI 10.1016/S0921-8009(98)00030-5 Roca J, 2007, ECOL ECON, V63, P230, DOI 10.1016/j.ecolecon.2006.11.012 SASTRY ML, 1989, SOCIO ECON PLAN SCI, V23, P303, DOI 10.1016/0038-0121(89)90024-4 SSB (Statistisk sentralbyra), 2012, SURV CONS EXP SSB (Statistisk sentralbyra), 2014, TAB 08940 UTSL KLIM SSB (Statistisk sentralbyra), 2014, TAB 03014 KONS SSB (Statistisk sentralbyra), 2013, TAB 09288 KLIM NORSK Tukker A, 2006, J IND ECOL, V10, P159, DOI 10.1162/jiec.2006.10.3.159 Tukker A, 2013, ECON SYST RES, V25, P50, DOI 10.1080/09535314.2012.761952 Tukker A, 2013, ECON SYST RES, V25, P1, DOI 10.1080/09535314.2012.761179 Tukker A, 2011, ECOL ECON, V70, P1776, DOI 10.1016/j.ecolecon.2011.05.001 Tukker A, 2010, J IND ECOL, V14, P13, DOI 10.1111/j.1530-9290.2009.00208.x Vralstad S., 2009, STERK INNTEKTSVEKST VRINGER K, 1995, ENERG POLICY, V23, P893, DOI 10.1016/0301-4215(95)00072-Q Weber CL, 2008, ECOL ECON, V66, P379, DOI 10.1016/j.ecolecon.2007.09.021 Wiedmann T, 2007, ECOL ECON, V61, P15, DOI 10.1016/j.ecolecon.2006.12.003 Wier M., 2001, ECON SYST RES, V13, P259, DOI DOI 10.1080/09537320120070149 Wood R., 2013, D72 CREEA Wood R, 2009, ECOL ECON, V68, P1375, DOI 10.1016/j.ecolecon.2008.09.008 NR 48 TC 29 Z9 29 U1 3 U2 27 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1088-1980 EI 1530-9290 J9 J IND ECOL JI J. Ind. Ecol. PD JUN PY 2016 VL 20 IS 3 SI SI BP 582 EP 592 DI 10.1111/jiec.12405 PG 11 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DR1VI UT WOS:000379692600019 DA 2019-04-09 ER PT J AU Alsamawi, A McBain, D Murray, J Geschke, A AF Alsamawi, Ali McBain, Darian Murray, Joy Geschke, Arne TI Social Impacts of International Trade on the Chinese Transport Sector SO JOURNAL OF INDUSTRIAL ECOLOGY LA English DT Article DE industrial ecology; multi-regional input-output analysis; occupational health and safety; sustainability indicators; transport-accident footprint; transportation ID LAND-USE; CO2 EMISSIONS; GLOBAL DISPLACEMENT; CARBON FOOTPRINT; WATER FOOTPRINT; FOOD SECURITY; SCARCE WATER; CONSUMPTION; TELECONNECTIONS; GROWTH AB The World Health Organization sees traffic injuries as a global health and development problem predicted to become the fifth leading cause of death by 2030. This study uses input-output techniques to shed light on the impact of international trade on the Chinese transport sector and its consequences for the lives of Chinese transport workers and the general population. We calculate the direct and indirect transport-accident footprints associated with products consumed domestically and internationally. Transport-accident footprints are comprised of fatal and nonfatal accidents from the transport sector. Our study finds that half of the accidents in the transport sector's footprint are embodied within exports to the United States, Japan, Hong Kong, United Kingdom, Germany, and Korea in the electronics, clothes, and minerals sectors. The study also shows that countries with a small population and high income have the highest per capita embodied accidents in the transport footprint of their imports from China. This study demonstrates that when considering the impacts of consumption in global trade, the social impact of production-in this case of transport accidents associated with production-must be considered. C1 [Alsamawi, Ali; McBain, Darian; Murray, Joy; Geschke, Arne] Univ Sydney, Ctr Integrated Sustainabil Anal, Sydney, NSW, Australia. RP Alsamawi, A (reprint author), Univ Sydney, Sch Phys, Integrated Sustainabil Anal, Bldg A28,Phys Rd, Sydney, NSW 2006, Australia. EM alia@physics.usyd.edu.au OI Geschke, Arne/0000-0001-9193-5829 CR Acquaye AA, 2011, ENVIRON SCI TECHNOL, V45, P2471, DOI 10.1021/es103410q Baiocchi G, 2010, ENVIRON SCI TECHNOL, V44, P1177, DOI 10.1021/es902662h Barrett J, 2013, CLIM POLICY, V13, P451, DOI 10.1080/14693062.2013.788858 Cardille JA, 2010, NAT GEOSCI, V3, P154, DOI 10.1038/ngeo810 Cazcarro I., 2013, SUSTAINABILITY PRACT Cecilie F., 2010, LAND GRAB AFRICA EME Chen J, 2007, CATENA, V69, P1, DOI 10.1016/j.catena.2006.04.019 ChinaAg, 2015, MARK INT CHIN AGR FO CIA (U. S. Central Intelligence Agency), 2015, WORLD FACTBOOK Cui S. J., 2011, CULTIVATED LAND CONV Dallar D., 2007, POVERTY INEQUALITY S Davis SJ, 2011, P NATL ACAD SCI USA, V108, P18554, DOI 10.1073/pnas.1107409108 Davis SJ, 2010, P NATL ACAD SCI USA, V107, P5687, DOI 10.1073/pnas.0906974107 DeFries RS, 2010, NAT GEOSCI, V3, P178, DOI 10.1038/NGEO756 Dorrucci E., 2013, OCCASIONAL PAPER SER, V142 EORA, 2012, EOR MRIO DAT FAO (Food and Agriculture Organization of the United Nations), 2012, SUST DEV PEOPL GEND FAOSTAT, 2014, LAND US DAT Feng KS, 2014, ENVIRON SCI TECHNOL, V48, P7704, DOI 10.1021/es500502q Feng KS, 2013, P NATL ACAD SCI USA, V110, P11654, DOI 10.1073/pnas.1219918110 Feng KS, 2011, ECON SYST RES, V23, P371, DOI 10.1080/09535314.2011.638276 Feng KS, 2011, WATER-SUI, V3, P47, DOI 10.3390/w3010047 Fischer G., 2007, CHINAS AGR PROSPECTS Fuller DQ, 2011, HOLOCENE, V21, P743, DOI 10.1177/0959683611398052 GTAP (Global Trade Analysis Project), 2012, GTAP 8 DAT BAS GLOB Haberl H, 2009, GEOGR TIDSSKR-DEN, V109, P119, DOI 10.1080/00167223.2009.10649602 Hertwich EG, 2009, ENVIRON SCI TECHNOL, V43, P6414, DOI 10.1021/es803496a Hubacek K, 2005, J IND ECOL, V9, P187, DOI 10.1162/1088198054084572 hubacek K., 2011, APPL GEOGR, V32, P691 Hubacek K., 2001, STRUCTURAL CHANGE EC, V12, P367, DOI DOI 10.1016/50954-349X(01)00029-7 Hubacek K, 2014, J IND ECOL, V18, P7, DOI 10.1111/jiec.12082 Jiang L, 2013, LAND USE POLICY, V35, P33, DOI 10.1016/j.landusepol.2013.04.011 Kastner T, 2011, GLOBAL ENVIRON CHANG, V21, P947, DOI 10.1016/j.gloenvcha.2011.05.003 Lambin E. F., 2009, P NATL ACAD SCI USA, V108, P3465 Lenzen M, 2013, ECOL ECON, V94, P78, DOI 10.1016/j.ecolecon.2013.06.018 Lenzen M, 2009, WATER RESOUR RES, V45, DOI 10.1029/2008WR007649 Long G. Q., 1999, WILL CHINA LIBERALIZ Luo P., 2011, INT J CHINA STUDIES, V2, P289 Matuschke I, 2009, INT ASS AGR EC C 16 Meyfroidt P, 2010, P NATL ACAD SCI USA, V107, P20917, DOI 10.1073/pnas.1014773107 Morton DC, 2006, P NATL ACAD SCI USA, V103, P14637, DOI 10.1073/pnas.0606377103 Motta R. S., 1998, ESTIMATING TIMBER DE Nath R, 2015, SUSTAINABILITY-BASEL, V7, P5371, DOI 10.3390/su7055371 OECD, 2010, TRENDS URB URB POL O Peters GP, 2011, ECON SYST RES, V23, P131, DOI 10.1080/09535314.2011.563234 Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Reenberg A, 2011, GEOGR TIDSSKR-DEN, V111, P85, DOI 10.1080/00167223.2011.10669524 Schneider A, 2009, ENVIRON RES LETT, V4, P168 Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109 Steen-Olsen K, 2012, ENVIRON SCI TECHNOL, V46, P10883, DOI 10.1021/es301949t Suh S, 2005, J CLEAN PROD, V13, P687, DOI 10.1016/j.jclepro.2003.04.001 Suh S, 2004, ENVIRON SCI TECHNOL, V38, P657, DOI 10.1021/es0263745 Suh S., 2003, INT J LCA, V8, P257, DOI DOI 10.1007/BF02978914 Sun L., 2014, OXFORD COMPANION EC, P299 Tian Z, 2015, HUM ECOL RISK ASSESS, V21, P1259, DOI 10.1080/10807039.2014.955392 UN, 2012, WORLD POP PROSP 2012 UNDP, 2013, CHIN HUM DEV REP 201 USDA (U. S. Department of Agriculture), 2013, INT BAS DAT Wang SL, 2013, AGR ECON-BLACKWELL, V44, P241, DOI 10.1111/agec.12008 Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 West J., 2013, RES EFFICIENCY EC OU Wiedmann T, 2011, ECOL ECON, V70, P1937, DOI 10.1016/j.ecolecon.2011.06.014 Wiedmann T, 2010, ECON SYST RES, V22, P19, DOI 10.1080/09535311003612591 Wiedmann T, 2009, ECOL ECON, V68, P1975, DOI 10.1016/j.ecolecon.2008.06.023 Wiedmann TO, 2011, ENVIRON SCI TECHNOL, V45, P5900, DOI 10.1021/es2007287 WIOD (World Input-Output Database), 2012, WORLD INP OUTP DAT 7 *WORLD BANK, 2012, CHIN 2030 BUILD MOD, DOI DOI 10.1596/978-0-8213-9545-5 World Bank, 2015, CHIN OV World Bank Development Research Center of the State Council the People's Republic of China, 2014, URB CHIN EFF INCL SU Xie J, 2009, ADDRESSING CHINA'S WATER SCARCITY: RECOMMENDATIONS FOR SELECTED WATER RESOURCE MANAGEMENT ISSUES, P1, DOI 10.1596/978-0-8213-7645-4 Yan J., 2009, PREPARING NATL STRAT Yu Y, 2014, ECOL INDIC, V47, P156, DOI 10.1016/j.ecolind.2014.01.044 Yu Y, 2013, GLOBAL ENVIRON CHANG, V23, P1178, DOI 10.1016/j.gloenvcha.2013.04.006 Yu Y, 2010, ECOL ECON, V69, P1140, DOI 10.1016/j.ecolecon.2009.12.008 Zhang ZY, 2011, ECOL ECON, V70, P2494, DOI 10.1016/j.ecolecon.2011.08.011 Zhou Z., 2014, FOOD CONSUMPTION CHI Zhou Z., 2012, FOOD CONSUMPTION TRE NR 77 TC 3 Z9 3 U1 9 U2 29 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1088-1980 EI 1530-9290 J9 J IND ECOL JI J. Ind. Ecol. PD JUN PY 2016 VL 20 IS 3 SI SI BP 603 EP 610 DI 10.1111/jiec.12322 PG 8 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DR1VI UT WOS:000379692600021 DA 2019-04-09 ER PT J AU Bailey, I Buck, LE AF Bailey, Ian Buck, Louise E. TI Managing for resilience: a landscape framework for food and livelihood security and ecosystem services SO FOOD SECURITY LA English DT Article DE Adaptive management; Agroecology; Food security; Landscape framework; Livelihood security; Resilience; Vulnerability ID SOCIAL-ECOLOGICAL SYSTEMS; AGRICULTURAL INTENSIFICATION; ENVIRONMENTAL-CHANGE; VULNERABILITY; SUSTAINABILITY; CONSERVATION; BIODIVERSITY; ADAPTATION; GOVERNANCE; MANAGEMENT AB To address the twin pressures of land degradation and climate change in communities of agriculturalists, agro-pastoralists and pastoralists who are vulnerable to acute and chronic food and livelihood insecurity, we review emerging resilience approaches to agricultural development and present a resilience framework for agriculture and resource management at multiple scales and social-ecological interfaces. The paper draws on academic literature, field observation, insight from development researchers and practitioners, and agency reports to build a framework for guiding investment in initiatives that stand to sustainably improve the livelihoods of rural populations whose livelihood security is at risk from a combination of poverty and drought, deforestation, over-grazing, forced migration or other shocks. We suggest how working at landscape scale to link interventions in agroecological, livelihood, ecological and institutional dimensions of resilience, and integrating the four dimensions through stakeholder-engaged, adaptive collaborative management enables synergies to be captured and trade-offs reduced. We use the insights from development practitioners, political ecologists, and rural sociologists to highlight the need to historically, politically, and culturally situate this framework, and to emphasize the importance of participatory methods in successful resilient landscape management projects. C1 [Bailey, Ian] Cornell Univ, Dept Dev Sociol, Ithaca, NY 14853 USA. [Buck, Louise E.] Cornell Univ, Dept Nat Resources, Fernow Hall, Ithaca, NY 14853 USA. [Buck, Louise E.] EcoAgr Partners, Washington, DC USA. RP Bailey, I (reprint author), Cornell Univ, Dept Dev Sociol, Ithaca, NY 14853 USA. EM idb6@cornell.edu CR Adger WN, 2006, GLOBAL ENVIRON CHANG, V16, P268, DOI 10.1016/j.gloenvcha.2006.02.006 Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465 Altieri M. A., 1990, Agroecology and small farm development., P113 Altieri MA, 1999, AGR ECOSYST ENVIRON, V74, P19, DOI 10.1016/S0167-8809(99)00028-6 Anderies JM, 2006, ECOSYSTEMS, V9, P865, DOI 10.1007/s10021-006-0017-1 Armitage DR, 2009, FRONT ECOL ENVIRON, V7, P95, DOI 10.1890/070089 Bacon CM, 2008, FOOD HEALTH ENVIRON, P1 Berkes F., 2009, PRINCIPLES ECOSYSTEM, P129 Berkes F., 2000, LINKING SOCIAL ECOLO Bernstein H., 2001, J AGRAR CHANGE, V1, P283, DOI DOI 10.1111/1471-0366.00009 Bessant KC, 2006, CAN REV SOC ANTHROP, V43, P51 Boelee E., 2011, ECOSYSTEM SERVICES A Bohensky EL, 2011, ECOL SOC, V16, DOI 10.5751/ES-04342-160406 Borron S., 2006, BUILDING RESILIENCE Chapin F. S., 2009, PRINCIPLES ECOSYSTEM Ching L. L., 2011, UN CLIM CHANG C NOV Colwell R, 2004, ANN ASSOC AM GEOGR, V94, P703 Currie W. S., 2011, NEW PHYTOL, P1 Darnhofer I., 2011, AGRON SUSTAIN DEV, V30, P545 De Schutter O, 2010, AGROECOLOGY RIGHT FO Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015 Donald PF, 2001, P ROY SOC B-BIOL SCI, V268, P25, DOI 10.1098/rspb.2000.1325 Donald PF, 2006, J APPL ECOL, V43, P209, DOI 10.1111/j.1365-2664.2006.01146.x Duraiappah A., 1996, CREED WORKING PAPER, V8 EcoAgriculture Partners, 2013, WFP PROM RES CHRON F Estrada-Carmona N, 2014, LANDSCAPE URBAN PLAN, V129, P1, DOI 10.1016/j.landurbplan.2014.05.001 FAO, 2014, STAT FOOD AGR INN FA Ferguson James, 1990, ANTIPOLITICS MACHINE Fischer J, 2008, FRONT ECOL ENVIRON, V6, P382, DOI 10.1890/070019 Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452 Folke C., 2004, ECOLOGY SOC, V9, P7, DOI DOI 10.5751/ES-01237-090307 Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002 Fraser EDG, 2007, CLIMATIC CHANGE, V83, P495, DOI 10.1007/s10584-007-9240-9 Getu M., 2013, IMPACTS CLIMATE CHAN Gladwin CH, 2001, FOOD POLICY, V26, P177, DOI 10.1016/S0306-9192(00)00045-2 Gliessman S. R., 2007, AGROECOLOGY ECOLOGY Gowing JW, 2008, SOIL USE MANAGE, V24, P92, DOI 10.1111/j.1475-2743.2007.00137.x Gunderson L. H., 2002, PANARCHY UNDERSTANDI Herren H. R., 2009, INT ASSESSMENT AGR K Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245 Holt-Gimenez E, 2002, AGR ECOSYST ENVIRON, V93, P87, DOI 10.1016/S0167-8809(02)00006-3 Holt-Gimenez E., 2006, CAMPESINO CAMPESINO International Fund for Agricultural Development (IFAD), 2013, SMALLH FOOD SEC ENV Kloppenburg J., 2004, 1 SEED POLITICAL EC Kofinas G. P., 2009, SUSTAINING LIVELIHOO Kozar R., 2014, VIABLE LANDSCAPE GOV Kremen C, 2012, ECOL SOC, V17, DOI 10.5751/ES-05103-170444 Lebel L, 2006, ECOL SOC, V11 Lin B. B., 2011, CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, V6, P1 McMichael P, 2012, DEV SOCIAL CHANGE GL McMichael P, 2011, GLOBAL ENVIRON CHANG, V21, P804, DOI 10.1016/j.gloenvcha.2011.03.016 McNeely J. A, 2007, FARMING NATURE SCI P Merila J, 2014, EVOL APPL, V7, P1, DOI 10.1111/eva.12137 Michener WK, 2001, BIOSCIENCE, V51, P1018, DOI 10.1641/0006-3568(2001)051[1018:DAUB]2.0.CO;2 Milder JC, 2014, WORLD DEV, V54, P68, DOI 10.1016/j.worlddev.2013.07.006 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING BI Mitchel T., 2002, RULE EXPERTS EGYPT T Montgomery D., 2007, DIRT RROSION CIVILIZ Mortimore Michael, 2009, DRYLAND OPPORTUNITIE Mosse D, 2005, CULTIVATING DEV ETHN Nelson DR, 2007, ANNU REV ENV RESOUR, V32, P395, DOI 10.1146/annurev.energy.32.051807.090348 Netting Robert M., 1993, SMALLHOLDERS HOUSEHO Pavanello S., 2009, PASTORALISTS VULNERA Perfecto Ivette, 2009, NATURES MATRIX LINKI Pimbert M, 2010, FOOD SOVEREIGNTY REC Pretty J, 2005, EARTHSCAN READER SUS Pretty J., 1995, REGENERATING AGR POL Pretty J, 2010, INT J AGR SUSTAIN, V8, P219, DOI 10.3763/ijas.2010.0534 Sayer J. A., 2014, SUSTAIN SCI, P1862 Sayer J, 2013, P NATL ACAD SCI USA, V110, P8349, DOI 10.1073/pnas.1210595110 Scheres SHW, 2014, ELIFE, V3, DOI 10.7554/eLife.03665 Scherr SJ, 2008, PHILOS T R SOC B, V363, P477, DOI 10.1098/rstb.2007.2165 Schusler TM, 2003, SOC NATUR RESOUR, V16, P309, DOI 10.1080/08941920390178874 Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008 Tilman D, 2001, SCIENCE, V292, P281, DOI 10.1126/science.1057544 Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014 Tscharntke T, 2005, ECOL LETT, V8, P857, DOI 10.1111/j.1461-0248.2005.00782.x Turner BL, 2003, P NATL ACAD SCI USA, V100, P8080, DOI 10.1073/pnas.1231334100 United Nations Environment Programme, 2011, CLIM CHANG CONFL MIG Velazquez A., 2003, MOUNTAIN RES DEV, V23, P230 Vos CC, 2001, AM NAT, V157, P24, DOI 10.1086/317004 Walker B, 2004, ECOL SOC, V9 Walker J, 2011, SECUR DIALOGUE, V42, P143, DOI 10.1177/0967010611399616 Warner K, 2011, INT MIGR, V49, pe1, DOI 10.1111/j.1468-2435.2011.00697.x WATTS MJ, 1993, PROG HUM GEOG, V17, P43, DOI 10.1177/030913259301700103 Weis T., 2007, GLOBAL FOOD EC BATTL Weis T, 2010, J AGRAR CHANGE, V10, P315, DOI 10.1111/j.1471-0366.2010.00273.x Wilshusen PR, 2002, SOC NATUR RESOUR, V15, P17, DOI 10.1080/089419202317174002 Wittman H., 2010, FOOD SOVEREIGNTY REC Zimmerer KS, 2007, AGR HUM VALUES, V24, P9, DOI 10.1007/s10460-006-9028-y NR 90 TC 8 Z9 9 U1 6 U2 88 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 1876-4517 EI 1876-4525 J9 FOOD SECUR JI Food Secur. PD JUN PY 2016 VL 8 IS 3 BP 477 EP 490 DI 10.1007/s12571-016-0575-9 PG 14 WC Food Science & Technology SC Food Science & Technology GA DQ4LN UT WOS:000379175500003 DA 2019-04-09 ER PT J AU Larsson, M Milestad, R Hahn, T von Oelreich, J AF Larsson, Markus Milestad, Rebecka Hahn, Thomas von Oelreich, Jacob TI The Resilience of a Sustainability Entrepreneur in the Swedish Food System SO SUSTAINABILITY LA English DT Article DE sustainability entrepreneurship; social entrepreneurship; economic resilience; Sweden; organic production ID ORGANIZATIONAL RESILIENCE; ADAPTABILITY; MANAGEMENT; SOCIETY; SPACE AB Organizational resilience emphasizes the adaptive capacity for renewal after crisis. This paper explores the sustainability and resilience of a not-for-profit firm that claims to contribute to sustainable development of the food system. We used semi-structured interviews and Holling's adaptive cycle as a heuristic device to assess what constitutes social and sustainable entrepreneurship in this case, and we discuss the determinants of organizational resilience. The business, Biodynamiska Produkter (BP), has experienced periods of growth, conservation and rapid decline in demand, followed by periods of re-organization. Our results suggest that BP, with its social mission and focus on organic food, meets the criteria of both a social and sustainability entrepreneurial organization. BP also exhibits criteria for organizational resilience: two major crises in the 1970s and late 1990s were met by re-organization (transformation) and novel market innovations (adaptations). BP has promoted the organic food sector in Sweden, but not profited from this. In this case study, resilience has enhanced sustainability in general, but trade-offs were also identified. The emphasis on trust, local identity, social objectives and slow decisions may have impeded both economic performance and new adaptations. Since the successful innovation Ekoladan in 2003, crises have been met by consolidation rather than new innovations. C1 [Larsson, Markus; Milestad, Rebecka; von Oelreich, Jacob] KTH Royal Inst Technol, Div Environm Strategies Res Fms, SE-10044 Stockholm, Sweden. [Hahn, Thomas] Stockholm Univ, Stockholm Resilience Ctr, SE-10691 Stockholm, Sweden. RP Larsson, M (reprint author), KTH Royal Inst Technol, Div Environm Strategies Res Fms, SE-10044 Stockholm, Sweden. EM marklars@kth.se; rebecka.milestad@abe.kth.se; thomas.hahn@su.se; jacob.von.oelreich@abe.kth.se OI Hahn, Thomas/0000-0002-6649-5232; von Oelreich, Jacob/0000-0002-3722-6084 FU FP7 European Research Area (ERA)-Net project Core Organic II FX We would like to thank the two anonymous reviewers for their valuable suggestions and comments. We are also most thankful to Studio Flygar for help with the illustrations. Part of the research for this article was carried out within the Healthy Growth project, funded by the FP7 European Research Area (ERA)-Net project Core Organic II. CR Abu-Saifan S, 2012, TECHNOL INNOV MANAG, P22 Adger WN, 2005, SCIENCE, V309, P1036, DOI 10.1126/science.1112122 Aldrich DP, 2015, AM BEHAV SCI, V59, P254, DOI 10.1177/0002764214550299 Avery Gayle C., 2011, Strategy & Leadership, V39, P5, DOI 10.1108/10878571111128766 Axelsson B., 2012, THESIS Bacq S, 2011, ENTREP REGION DEV, V23, P373, DOI 10.1080/08985626.2011.577242 Bernier Q., 2014, NETWROKS RESILIENCE BIERNACKI P, 1981, SOCIOL METHOD RES, V10, P141, DOI 10.1177/004912418101000205 Cameron KS, 2003, POSITIVE ORG SCHOLAR, P361 Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015 Doeksen A, 2015, SOCIOL RURALIS, V55, P325, DOI 10.1111/soru.12099 Ekoladan, EK ROTT Ekoweb, EK LIVSM 2015 Ekoweb, EK LIVSM 2016 Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002 Folke C, 2010, ECOL SOC, V15 Fukuyama F, 2001, THIRD WORLD Q, V22, P7 Gibb A., 2004, EFFECTIVE POLICIES S Hahn T., 2016, ECOL SOC UNPUB Hall JK, 2010, J BUS VENTURING, V25, P439, DOI 10.1016/j.jbusvent.2010.01.002 Hamel G, 2003, HARVARD BUS REV, V81, P52 Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245 Holling C. S., 1986, SUSTAINABLE DEV BIOS, P292 Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5 Johannisson B., 2002, GLESA STRUKTURERNA G Johansson B., 2003, AR EKO REKO EKOLOGIS Johnstone H, 2004, ENTREP REGION DEV, V16, P217, DOI 10.1080/0898562042000197117 Kantur D, 2012, J MANAGE ORGAN, V18, P762 KRAV, MARK REP 2015 KRAV, MARK REP 2014 Kvale Steinar, 2009, INTERVIEWS LEARNING Larsson M., TRUST RESILIENCE CAS Lengnick-Hall CA, 2011, HUM RESOUR MANAGE R, V21, P243, DOI 10.1016/j.hrmr.2010.07.001 Linnenluecke MK, 2012, BUS STRATEG ENVIRON, V21, P17, DOI 10.1002/bse.708 Lundstrom A, 2005, INT STUD ENTREP, V9, P1, DOI 10.1007/b104813 Milestad R., 2015, FULL CASE STUDY REPO Milestad R., 2003, THESIS O'Brien K, 2012, PROG HUM GEOG, V36, P667, DOI 10.1177/0309132511425767 Olsson P, 2004, ECOL SOC, V9 Parrish B. D., 2010, MAKING ECOPRENEURS D Parrish BD, 2010, J BUS VENTURING, V25, P510, DOI 10.1016/j.jbusvent.2009.05.005 Pretty J, 2001, WORLD DEV, V29, P209, DOI 10.1016/S0305-750X(00)00098-X Pretty J, 2003, SCIENCE, V302, P1912, DOI 10.1126/science.1090847 Schaltegger S, 2011, BUS STRATEG ENVIRON, V20, P222, DOI 10.1002/bse.682 Schaper M, 2002, GREENER MANAGEMENT I, V38, P26, DOI DOI 10.9774/GLEAF.3062.2002.SU.00004 Schumpeter JA, 1950, CAPITALISM SOCIALISM SEED, 2015, TURN ID IMP SETT STA Shaper M., 2010, MAKING ECOPRENEURS D Sinclair K, 2014, AGR HUM VALUES, V31, P371, DOI 10.1007/s10460-014-9488-4 Steyaert C, 2004, ENTREP REGION DEV, V16, P179, DOI 10.1080/0898562042000197135 Swedish Environmental Protection Agency, SWED ENV OBJ Thake S, 1997, PRACTICAL PEOPLE NOB Walker B, 2004, ECOL SOC, V9 Walley L., 2010, MAKING ECOPRENEURS D NR 54 TC 4 Z9 4 U1 4 U2 46 PU MDPI PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD JUN PY 2016 VL 8 IS 6 AR 550 DI 10.3390/su8060550 PG 18 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DP8VU UT WOS:000378776800047 OA DOAJ Gold DA 2019-04-09 ER PT J AU Mohr, A Beuchelt, T Schneider, R Virchow, D AF Mohr, Anna Beuchelt, Tina Schneider, Rafael Virchow, Detlef TI Food security criteria for voluntary biomass sustainability standards and certifications SO BIOMASS & BIOENERGY LA English DT Article; Proceedings Paper CT 23rd European Biomass Conference and Exhibition (EU BC and E) CY JUN, 2015 CL Vienna, AUSTRIA DE Certification system; Bioenergy; Human right to adequate food; Agricultural investments; Private governance ID COPING STRATEGIES; INFORMED-CONSENT; INSECURITY; FREQUENCY; NICARAGUA; SEVERITY; CONTEXT; ENERGY AB With the shift from petroleum-based to biomass-based economies, global biomass demand and trade is growing. This trend could become a threat to food security. Though rising concerns about sustainability aspects have led to the development of voluntary certification standards to ensure that biomass is sustainably produced, food security aspects are hardly addressed as practical criteria and indicators lack. The research objective is to identify how the Human Right to adequate Food (RtaF), which is applicable in over 100 countries, can be ensured in local biomass production and in certification systems in food insecure regions. We aim to first develop a suitable conceptual framework to integrate the RtaF in biomass production, processing and trade and derive guidance for the choice the criteria. Second, we identify appropriate criteria to ensure that the RtaF is not violated by certified biomass operators based on a comprehensive literature review, stakeholder workshops and expert interviews with certification bodies, standard initiatives, NGOs, ministries, scientists and enterprises. The conceptual framework is based on the UN "Voluntary Guidelines to Support the Progressive Realization of the RtaF in the Context of National Food Security" and the four dimensions of food security. Based on this framework, we developed the rights-based food security principle. We selected 45 criteria that ensure that the RtaF is not adversely affected by certified biomass production of companies and farmers. The suggested criteria are applicable to all biomass types and uses and serve as a best-practice set to complement existing sustainability standards for biomass. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Mohr, Anna; Beuchelt, Tina; Virchow, Detlef] Univ Bonn, Res Dev Ctr, ZEF, Walter Flex Str 3, D-53113 Bonn, Germany. [Schneider, Rafael] Welthungerhilfe, Friedrich Ebert Str 1, D-53173 Bonn, Germany. RP Mohr, A (reprint author), Univ Bonn, Res Dev Ctr, ZEF, Walter Flex Str 3, D-53113 Bonn, Germany. EM amohr@uni-bonn.de; tbeuchelt@uni-bonn.de; Rafael.Schneider@welthungerhilfe.de; d.virchow@uni-bonn.de CR Albersmeier F, 2009, FOOD CONTROL, V20, P927, DOI 10.1016/j.foodcont.2009.01.010 Anker R., 2014, REPORT LIVING WAGE K Anker R., 2013, REPORT LIVING WAGE R Anseeuw W., 2012, LAND RIGHTS RUSH LAN Backstrand K., 2006, European Environment, V16, P290, DOI 10.1002/eet.425 Ballard TJ, 2014, ERNAHRUNGS UMSCHAU, V61, P38, DOI 10.4455/eu.2014.007 Barrett CB, 2010, SCIENCE, V327, P825, DOI 10.1126/science.1182768 Beuchelt T.D., 2012, ANAL ORGANIC FAIRTRA Beuchelt T.D., 2011, RURAL, V21, P39 Beuchelt T, 2010, MARKETS, MARKETING AND DEVELOPING COUNTRIES: WHERE WE STAND AND WHERE WE ARE HEADING, P115 Beuchelt TD, 2013, RENEW AGR FOOD SYST, V28, P195, DOI 10.1017/S1742170512000087 Beuchelt TD, 2012, AGR HUM VALUES, V29, P259, DOI 10.1007/s10460-012-9355-0 Beuchelt TD, 2011, ECOL ECON, V70, P1316, DOI 10.1016/j.ecolecon.2011.01.005 Beuchelt TD, 2013, FOOD SECUR, V5, P709, DOI 10.1007/s12571-013-0290-8 Bonsucro, 2011, BONS PROD STAND INCL Bracco S, 2015, RENEW SUST ENERG REV, V50, P130, DOI 10.1016/j.rser.2015.05.006 Briintrup M., 2014, LAW DEV REV, V7, P433 Bringezu S., 2011, BALANCIERTE BIOOKONO CFS, 2014, 2014414 CFS Charnovitz S., 2008, IPC DISCUSSION PAPER Cotula L., 2010, HEADS LOCAL PEOPLE C, V37, P899 Cotula L., 2008, FUELLING EXCLUSION B De Schutter O, 2011, J PEASANT STUD, V38, P249, DOI 10.1080/03066150.2011.559008 Deininger K., 2011, RISING GLOBAL INTERE Diop Demba, 2013, ASSESSING IMPACT BIO Fairtrade International, 2014, NEW LIV WAG BENCHM P FAO, 2014, RESP FREE PRIOR INF FAO, 2008, SUBST ISS AR IMPL IN FAO, 2005, VOL GUID SUPP PROGR FAO, 2013, SUST ASS FOOD AGR SY FAO, 2015, BEFS INV SCREEN FAO (Food and Agriculture Organization of the United Nations), 2012, VOL GUID RESP GOV TE FAO Ifad UNCTAD and World Bank, 2010, PRINC RESP AGR INV R Food and Agriculture Organization of the United Nations, 2006, FOOD SEC FSC, 2012, SUST CRIT MAT US Garner E., 2014, IDENTIFYING FAMILY F GBEP, 2011, SUST CRIT MAT US Geibler J., 2013, J CLEAN PROD, V56, P39 Harvey M, 2011, FOOD POLICY, V36, pS40, DOI 10.1016/j.foodpol.2010.11.009 Heinimo J, 2009, BIOMASS BIOENERG, V33, P1310, DOI 10.1016/j.biombioe.2009.05.017 Hemmati M., 2002, MULTISTAKEHOLDER PRO Hoddinott J, 2002, 136 FCND IFPRI Hunsberger C, 2014, GEOFORUM, V54, P248, DOI 10.1016/j.geoforum.2013.09.022 INRO, 2013, SUST CRIT MAT US ISCC, 2015, REDCERT REQ PROD BIO Kampmann B., 2008, AGR LAND AVAILABILIT Klooster D, 2010, GEOFORUM, V41, P117, DOI 10.1016/j.geoforum.2009.02.006 Lewandowski I, 2006, BIOMASS BIOENERG, V30, P83, DOI 10.1016/j.biombioe.2005.11.003 Mahanty S, 2013, LAND USE POLICY, V35, P406, DOI 10.1016/j.landusepol.2013.06.014 Maxwell D, 1999, FOOD POLICY, V24, P411, DOI 10.1016/S0306-9192(99)00051-2 Maxwell DG, 1996, FOOD POLICY, V21, P291, DOI 10.1016/0306-9192(96)00005-X Maxwell S, 1996, FOOD POLICY, V21, P155, DOI 10.1016/0306-9192(95)00074-7 Mohr A., 2015, 143 ZEF Mohr A, 2013, ENERGY SUSTAIN SOC, V3, DOI 10.1186/2192-0567-3-6 Mutersbaugh T, 2005, J RURAL STUD, V21, P389, DOI 10.1016/j.jrurstud.2005.08.003 Owen JR, 2014, RESOUR POLICY, V41, P91, DOI 10.1016/j.resourpol.2014.03.006 Pattberg P, 2006, THIRD WORLD Q, V27, P579, DOI 10.1080/01436590600720769 Pinstrup-Andersen P, 2009, FOOD SECUR, V1, P5, DOI 10.1007/s12571-008-0002-y Popp J, 2014, RENEW SUST ENERG REV, V32, P559, DOI 10.1016/j.rser.2014.01.056 REDcert, 2014, REDCERT REQ PROD BIO RSB, 2013, CONS RSB EU RED PRIN RSPO, 2013, PRINC CRIT PROD SUST RTRS, 2013, RTRS STAND RESP SOY Scarlat N, 2011, ENERG POLICY, V39, P1630, DOI 10.1016/j.enpol.2010.12.039 Schlamann L, 2013, BONS PROD STAND INCL Schneider R., 2011, RURAL, V21, P19 Sugrue A., 2012, RSB FOOD SECURITY GU Swindale A, 2006, J NUTR, V136, P1449 UN-CESCR, 1999, SUBST ISS AR IMPL IN United Nations, 2011, GUID PRINC BUS HUM R United Nations, 2004, SUBST ISS AR IMPL IN, P1 UTZ Certified, 2014, POS PAP LIV WAG van Dam J., 2009, THESIS Virchow D., 2014, RURAL, V21-48, P16 NR 74 TC 4 Z9 4 U1 1 U2 13 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0961-9534 EI 1873-2909 J9 BIOMASS BIOENERG JI Biomass Bioenerg. PD JUN PY 2016 VL 89 SI SI BP 133 EP 145 DI 10.1016/j.biombioe.2016.02.019 PG 13 WC Agricultural Engineering; Biotechnology & Applied Microbiology; Energy & Fuels SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels GA DO4CI UT WOS:000377729000016 DA 2019-04-09 ER PT J AU Thran, D Witt, J Schaubach, K Kiel, J Carbo, M Maier, J Ndibe, C Koppejan, J Alakangas, E Majer, S Schipfer, F AF Thraen, Daniela Witt, Janet Schaubach, Kay Kiel, Jaap Carbo, Michiel Maier, Joerg Ndibe, Collins Koppejan, Jaap Alakangas, Eija Majer, Stefan Schipfer, Fabian TI Moving torrefaction towards market introduction - Technical improvements and economic-environmental assessment along the overall torrefaction supply chain through the SECTOR project SO BIOMASS & BIOENERGY LA English DT Article; Proceedings Paper CT 23rd European Biomass Conference and Exhibition (EU BC and E) CY JUN, 2015 CL Vienna, AUSTRIA DE Torrefaction; Solid biofuel; Sustainability; Standardization; Densification; Market implementation ID TORREFIED WOOD; BIOMASS; GRINDABILITY; EMISSIONS AB The large-scale implementation of bioenergy demands solid biofuels which can be transported, stored and used efficiently. Torrefaction as a form of pyrolysis converts biomass into biofuels with according improved properties such as energy density, grindability and hydrophobicity. Several initiatives advanced this development. The first pilot-scale and demonstration plants displayed the maturity and potential of the technology. The European research project SECTOR intended to shorten the time-to-market. Within the project 158 Mg of biomass were torrefied through different technologies (rotary drum, toroidal reactor, moving bed). Their production led to process optimization of combined torrefaction-densification steps for various feedstocks through analysing changes in structure and composition. The torrefied pellets and briquettes were subjected to logistic tests (handling and storage) as well as to tests in small- and large-scale end-uses. This led to further improvement of the torrefied product meeting logistics/end-use requirements, e.g. durability, grindability, hydrophobicity, biodegradation and energy density. Durability exceeds now 95%. With these test results also international standards of advanced solid biofuels were initiated (ISO standards) as a prerequisite for global trade of torrefied material. Accompanying economic and environmental assessment identified a broad range of scenarios in which torrefied biomass perform better in these areas than traditional solid biofuels (e.g. white pellets), depending e.g. on feedstock, plant size, transport distances, integration of torrefaction in existing industries and end use. The implementation of industrial plants is the next step for the technology development. Different end user markets within and outside Europe can open opportunities here. (C) 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). C1 [Thraen, Daniela; Witt, Janet; Schaubach, Kay; Majer, Stefan] DBFZ Deutsch Biomasseforschungszentrum gGmbH, Torgauer Str 116, D-04347 Leipzig, Germany. [Thraen, Daniela] UFZ Helmholtz Zentrum Umweltforsch GmbH, Permoserstr 15, D-04318 Leipzig, Germany. [Kiel, Jaap; Carbo, Michiel] ECN Energy Res Ctr Netherlands, NL-1755 ZG Petten, Netherlands. [Maier, Joerg; Ndibe, Collins] Univ Stuttgart, Pfaffenwaldring 23, D-70569 Stuttgart, Germany. [Koppejan, Jaap] Procede Biomass BV, Vlierstr 111, NL-7544 GG Enschede, Netherlands. [Alakangas, Eija] VIT Tech Res Ctr Finland Ltd, Koivurannantie 1, FI-40400 Jyvaskyla, Finland. [Schipfer, Fabian] Tech Univ Wien, Gusshausstr 25-370-3, A-1040 Vienna, Austria. RP Thran, D (reprint author), DBFZ Deutsch Biomasseforschungszentrum gGmbH, Torgauer Str 116, D-04347 Leipzig, Germany. EM daniela.thraen@dbfz.de; Joerg.Maier@ifk.uni-stuttgart.de; JaapKoppejan@procede.nl; Eija.Alakangas@vtt.fi; schipfer@eeg.tuwien.ac.at OI Schipfer, Fabian/0000-0001-6732-6919 CR Alakangas E., 2013, QUALITY DEMANDS PROD Alakangas E., 2015, GRADED THERMALLY DEN [Anonymous], 2009, 1521012009 BS EN Arpiainen V., 2015, REPORT OPTIMISATION Bergman P.C.A., 2005, TORREFACTION BIOMASS Biedermann F., 2014, EXECUTIVE SUMMARY Bridgeman TG, 2010, FUEL, V89, P3911, DOI 10.1016/j.fuel.2010.06.043 Carbo M., 2015, HANDLING STORAGE TOR Carbo M., 2015, SECTOR SPECIALS VALU Carbo M., 2015, FUEL PREPROCESSING P Chew JJ, 2011, RENEW SUST ENERG REV, V15, P4212, DOI 10.1016/j.rser.2011.09.017 Coal consumption statistics, COAL CONSUMPTION STA Cremers M., 2015, IEA BIOENERGY DBFZ, DBFZ TORR PLANT DAT DBFZ. SECTOR, 2014, SECTOR PUBL SUMM REP, V2 Deutmeyer M., 2012, IEA BIOENERGY European Commission, 2015, 2030 EN STRAT EN Fagernas L, 2015, ENERG FUEL, V29, P3134, DOI 10.1021/acs.energyfuels.5b00004 Gobi C., 2015, ROUND ROBIN REPORT 2 Gobl C., 2015, REPORT TEST METHODS ISO/CD, 2015, 172258 ISOCD Janssen A., 2013, REPORT REQUIREMENTS Junginger M, 2014, LECT N ENERG, V17, P1, DOI 10.1007/978-94-007-6982-3 Keipi T, 2014, BIOMASS BIOENERG, V66, P232, DOI 10.1016/j.biombioe.2014.02.015 Kiel J., 2013, INT C BIOM BIOEN MUN Koppejan J., 2015, TORREFACTION TECHNOL Koppejan J., 2012, STATUS OVERVIEW TORR Majer S., 2015, LCA TORREFIED BIOMAS Majer S., 2015, EXECUTIVE SUMMARY WP Medic C., 2012, FUEL, V91, P147 Ndibe C, 2015, BIOMASS BIOENERG, V79, P105, DOI 10.1016/j.biombioe.2015.05.010 Ndibe C, 2015, FUEL, V156, P177, DOI 10.1016/j.fuel.2015.04.017 Padban N., 2014, INT TORR WORKSH CEBC Phanphanich M, 2011, BIORESOURCE TECHNOL, V102, P1246, DOI 10.1016/j.biortech.2010.08.028 Prins MJ, 2006, J ANAL APPL PYROL, V77, P35, DOI 10.1016/j.jaap.2006.01.001 Repellin V, 2010, BIOMASS BIOENERG, V34, P923, DOI 10.1016/j.biombioe.2010.01.039 Risberg M, 2014, FUEL, V116, P751, DOI 10.1016/j.fuel.2013.08.008 Rudolfsson M, 2015, APPL ENERG, V140, P378, DOI 10.1016/j.apenergy.2014.11.041 Schipfer F., 2015, DEPLOYMENT SCENARI 2 Spliethoff H, 1998, FUEL PROCESS TECHNOL, V54, P189, DOI 10.1016/S0378-3820(97)00069-6 Thraen D., 2015, ISO M YORK Thran D, 2010, ENERGY SUSTAIN DEV, V14, P200, DOI 10.1016/j.esd.2010.07.004 Tumuluru J. S., 2011, IND BIOTECHNOL, V7, P384, DOI DOI 10.1089/IND.2011.7384 van der Stelt MJC, 2011, BIOMASS BIOENERG, V35, P3748, DOI 10.1016/j.biombioe.2011.06.023 Verhoef P., 2015, BIOBOOST SECTOR POL Weatherstone S., 2015, FINAL REPORT BULK TE Weiland F, 2014, FUEL PROCESS TECHNOL, V125, P51, DOI 10.1016/j.fuproc.2014.03.026 Weiser C, 2014, APPL ENERG, V114, P749, DOI 10.1016/j.apenergy.2013.07.016 Werner K, 2014, J ANAL APPL PYROL, V110, P130, DOI 10.1016/j.jaap.2014.08.013 Wild M., 2015, TORREFIED BIOMASS PE, P72 Wilen C., 2014, REPORT OPTIMISATION Witt J., 2015, C P FIN PROJ C NR 52 TC 33 Z9 33 U1 4 U2 31 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0961-9534 EI 1873-2909 J9 BIOMASS BIOENERG JI Biomass Bioenerg. PD JUN PY 2016 VL 89 SI SI BP 184 EP 200 DI 10.1016/j.biombioe.2016.03.004 PG 17 WC Agricultural Engineering; Biotechnology & Applied Microbiology; Energy & Fuels SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels GA DO4CI UT WOS:000377729000020 OA Other Gold DA 2019-04-09 ER PT J AU Shope, JB Storlazzi, CD Erikson, LH Hegermiller, CA AF Shope, James B. Storlazzi, Curt D. Erikson, Li H. Hegermiller, Christie A. TI Changes to extreme wave climates of islands within the Western Tropical Pacific throughout the 21st century under RCP 4.5 and RCP 8.5, with implications for island vulnerability and sustainability SO GLOBAL AND PLANETARY CHANGE LA English DT Article DE Tropical Pacific; Topic; Extreme waves; Swell; Climate change; Pacific Islands; Topic; Extratropical cyclones ID SEA-LEVEL RISE; STORM TRACKS; REEF ISLANDS; WIND; ATOLL; INUNDATION; VARIABILITY; SHORELINES; GRADIENTS; RESPONSES AB Waves are the dominant influence on coastal morphology and ecosystem structure of tropical Pacific islands. Wave heights, periods, and directionS for the 21st century were projected using near-surface wind fields from four atmosphere-ocean coupled global climate models (GCM) under representative concentration pathways (RCP) 4.5 and 8.5. GCM-derived wind fields forced the global WAVEWATCH-III wave model to generate hourly time series of bulk wave parameters around 25 islands in the mid to western tropical Pacific Ocean for historical (1976-2005), mid-century, and end-century time periods for the December-February and June-August seasons. The December-February regional wave climate is dominated by strong winds and large swell from extratropical cyclones in the north Pacific while the June-August season brings smaller waves generated by the trade winds and swell from Southern Hemisphere extratropical storms. Extreme significant wave heights decreased (-10.0%) throughout the 21st century under both climate scenarios compared to historical wave conditions and the higher radiative forcing RCP 8.5 scenario displayed a greater and more widespread decrease in extreme significant wave heights compared to the lower forcing RCP 45 scenario. An exception was for the end-century June-August season. Offshore of islands in the central equatorial Pacific, extreme significant wave heights displayed the largest changes from historical values. The frequency of extreme events during December February decreased under RCP 8.5, whereas the frequency increased under RCP 4.5. Mean wave directions rotated more than 30 clockwise at several locations during June-August, which could indicate a weakening of the trade winds' influence on extreme wave directions and increasing dominance of Southern Ocean swell. The results of this study underscore that December-February large wave events will become smaller and less frequent in most regions, reducing the likelihood and magnitude of wave-driven flooding at these island locations over the 21st century. However, relatively large increases in the mean of the top 5% of significant wave heights and large changes to the mean direction of these waves in the June-August season at several islands within 150-180 E will drive greater flooding and island morphological change along previously more stable shorelines. The reported results herein project large changes to tropical Pacific island wave climates that will be necessary for assessing island vulnerability under climate change in future studies. Published by Elsevier B.V. C1 [Shope, James B.] Univ Calif Santa Cruz, Earth & Planetary Sci, 1156 High St, Santa Cruz, CA 95065 USA. [Storlazzi, Curt D.; Erikson, Li H.] US Geol Survey, Pacific Coastal & Marine Sci Ctr, 400 Nat Bridges Dr, Santa Cruz, CA 95060 USA. [Hegermiller, Christie A.] Univ Calif Santa Cruz, Ocean Sci, 1156 High St, Santa Cruz, CA 95065 USA. RP Shope, JB (reprint author), Univ Calif Santa Cruz, Earth & Planetary Sci, 1156 High St, Santa Cruz, CA 95065 USA. EM jshope@ucsc.edu FU USGS's Coastal and Marine Geology Program; Pacific Islands Climate Change Cooperative (PICCC) FX This work was carried out under the USGS's Pacific Coral Reef Project as part of an effort in the United States and its trust territories to better understand the effect of geologic and oceanographic processes on coral reef systems and the USGS's Climate Change Impacts to the U.S. Pacific and Arctic Coasts Project to understand the impact of climate change on U.S. and U.S.-affiliated island shorelines. This project was funded by the USGS's Coastal and Marine Geology Program and the Pacific Islands Climate Change Cooperative (PICCC). P. Dalyander (USGS) contributed numerous excellent suggestions and a timely review of our work. Use of trademark names does not imply USGS endorsement of products. CR Alves JHGM, 2006, OCEAN MODEL, V11, P98, DOI 10.1016/j.ocemod.2004.11.007 Aucan J, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052993 Australian Bureau of Meteorology CSIRO, 2014, CLIM VAR EXTR CHANG Becker JM, 2014, J GEOPHYS RES-OCEANS, V119, P914, DOI 10.1002/2013JC009373 Beetham EP, 2014, GEOMORPHOLOGY, V209, P98, DOI 10.1016/j.geomorph.2013.11.029 Bengtsson L, 2006, J CLIMATE, V19, P3518, DOI 10.1175/JCLI3815.1 Bromirski PD, 2013, J GEOPHYS RES-OCEANS, V118, P6329, DOI 10.1002/2013JC009189 BUDDEMEIER RW, 1988, CORAL REEFS, V7, P51, DOI 10.1007/BF00301982 Catto JL, 2011, J CLIMATE, V24, P5336, DOI 10.1175/2011JCLI4181.1 Chang EKM, 2012, J GEOPHYS RES-ATMOS, V117, DOI 10.1029/2012JD018578 Church J. A., 2013, CLIMATE CHANGE 2013 Church JA, 2006, GLOBAL PLANET CHANGE, V53, P155, DOI 10.1016/j.gloplacha.2006.04.001 Dickinson WR, 1999, QUATERNARY RES, V51, P124, DOI 10.1006/qres.1998.2029 Dobrynin M, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL052843 Donat MG, 2010, CLIM RES, V44, P211, DOI 10.3354/cr00891 Eichler TP, 2013, J GEOPHYS RES-ATMOS, V118, P3919, DOI 10.1002/jgrd.50286 Emery W. J., 2001, DATA ANAL METHODS PH, P638 Fan YL, 2014, J CLIMATE, V27, P3516, DOI 10.1175/JCLI-D-13-00198.1 Fan YL, 2013, J CLIMATE, V26, P6046, DOI 10.1175/JCLI-D-12-00410.1 Ferrario F, 2014, NAT COMMUN, V5, DOI 10.1038/ncomms4794 Fletcher C. H., 2010, TT1002 U HAW Ford M, 2012, J COASTAL RES, V28, P11, DOI [10.2112/JCOASTRES-D-11-00008.1, 10.2112/JCOASTRES-D-U-00008.1] Grady AE, 2013, GEOPHYS RES LETT, V40, P3096, DOI 10.1002/grl.50577 HASSELMANN S, 1985, J PHYS OCEANOGR, V15, P1369, DOI 10.1175/1520-0485(1985)015<1369:CAPOTN>2.0.CO;2 Hemer MA, 2013, NAT CLIM CHANGE, V3, P471, DOI [10.1038/nclimate1791, 10.1038/NCLIMATE1791] Hoeke RK, 2013, GLOBAL PLANET CHANGE, V108, P128, DOI 10.1016/j.gloplacha.2013.06.006 Hyndman RJ, 2006, INT J FORECASTING, V22, P679, DOI 10.1016/j.ijforecast.2006.03.001 Kench PS, 2009, MAR GEOL, V266, P91, DOI 10.1016/j.margeo.2009.07.013 Kench PS, 2006, J GEOPHYS RES-EARTH, V111, DOI 10.1029/2005JF000323 KIM ST, 2012, GEOPHYS RES LETT, V39, DOI DOI 10.1029/2012GL052006 Lauer A, 2013, J CLIMATE, V26, P10006, DOI 10.1175/JCLI-D-13-00126.1 Marida K. V., 2009, DIRECTIONAL STAT, P460 Merrifield MA, 2014, GEOPHYS RES LETT, V41, P7245, DOI 10.1002/2014GL061005 Merrifield MA, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL049576 Merrifield MA, 2011, J CLIMATE, V24, P4126, DOI 10.1175/2011JCLI3932.1 Mimura N, 1999, CLIM RES, V12, P137, DOI 10.3354/cr012137 Montaggioni LF, 2005, EARTH-SCI REV, V71, P1, DOI 10.1016/j.earscirev.2005.01.002 Mori N, 2013, OCEAN ENG, V71, P122, DOI 10.1016/j.oceaneng.2013.02.016 Mori N, 2010, HYDROL RES LETT, V4, P15, DOI [10.3178/HRL.4.15, 10.3178/hrl.4.15] National Geophysical Data Center, 2013, GLOB SELF CONS HIER Naval Research Laboratory, 2013, DIG BATH DAT VERS 3 Pequignet A. C., 2011, GUAN CORAL REEFS, V36, P71 Rankey EC, 2011, SEDIMENTOLOGY, V58, P1831, DOI 10.1111/j.1365-3091.2011.01241.x Riahi K., 2010, CLIM CHANG, V109, P33 Rotzoll K, 2013, NAT CLIM CHANGE, V3, P477, DOI [10.1038/nclimate1725, 10.1038/NCLIMATE1725] Semedo A, 2013, J CLIMATE, V26, P8269, DOI 10.1175/JCLI-D-12-00658.1 Semedo A, 2011, J CLIMATE, V24, P1461, DOI 10.1175/2010JCLI3718.1 Seneviratne S.I., 2012, MANAGING RISKS EXTRE, P109, DOI DOI 10.1017/CBO9781139177245.006 Smithers SG, 2014, GEOMORPHOLOGY, V222, P106, DOI 10.1016/j.geomorph.2014.03.042 STEPHENS MA, 1965, BIOMETRIKA, V52, P309, DOI 10.1093/biomet/52.3-4.309 Stevenson S., 2012, GEOPHYS RES LETT, V39, P1 Storlazzi CD, 2011, CORAL REEFS, V30, P83, DOI 10.1007/s00338-011-0723-9 Storlazzi C. D, 2015, 20151001 US GEOL SUR, P426, DOI DOI 10.1016/J.CSR.2004.02.010 Terry JP, 2010, HYDROGEOL J, V18, P749, DOI 10.1007/s10040-009-0544-x Thomson AM, 2011, CLIMATIC CHANGE, V109, P77, DOI 10.1007/s10584-011-0151-4 Tolman H.L., 2009, 276 NOAANWSNCEPMMAB, P19 Tolman HL, 2002, WEATHER FORECAST, V17, P311, DOI 10.1175/1520-0434(2002)017<0311:DAIOWG>2.0.CO;2 Tolman HL, 1996, J PHYS OCEANOGR, V26, P2497, DOI 10.1175/1520-0485(1996)026<2497:STIATG>2.0.CO;2 Ulbrich U, 2008, J CLIMATE, V21, P1669, DOI 10.1175/2007JCLI1992.1 Vermeer M, 2009, P NATL ACAD SCI USA, V106, P21527, DOI 10.1073/pnas.0907765106 Vitousek S, 2008, PAC SCI, V62, P541, DOI 10.2984/1534-6188(2008)62[541:MARWHI]2.0.CO;2 Wang XLL, 2014, GEOPHYS RES LETT, V41, P1026, DOI 10.1002/2013GL058650 Wang XL, 2010, INT J CLIMATOL, V30, P317, DOI 10.1002/joc.1899 Webb AP, 2010, GLOBAL PLANET CHANGE, V72, P234, DOI 10.1016/j.gloplacha.2010.05.003 WONG P. P, 2007, CLIMATE CHANGE, P315 Woodroffe CD, 2008, GLOBAL PLANET CHANGE, V62, P77, DOI 10.1016/j.gloplacha.2007.11.001 World Climate Research Programme, 2013, CMIP5 COUPL MOD INT Wu YT, 2011, CLIM DYNAM, V37, P53, DOI 10.1007/s00382-010-0776-4 Yamano H, 2007, GLOBAL PLANET CHANGE, V57, P407, DOI 10.1016/j.gloplacha.2007.02.007 Young IR, 1999, INT J CLIMATOL, V19, P931, DOI 10.1002/(SICI)1097-0088(199907)19:9<931::AID-JOC412>3.0.CO;2-O NR 70 TC 14 Z9 14 U1 2 U2 25 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-8181 EI 1872-6364 J9 GLOBAL PLANET CHANGE JI Glob. Planet. Change PD JUN PY 2016 VL 141 BP 25 EP 38 DI 10.1016/j.gloplacha.2016.03.009 PG 14 WC Geography, Physical; Geosciences, Multidisciplinary SC Physical Geography; Geology GA DN8GN UT WOS:000377317300003 DA 2019-04-09 ER PT J AU Lohrey, S Creutzig, F AF Lohrey, Steffen Creutzig, Felix TI A 'sustainability window' of urban form SO TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT LA English DT Article DE Urban form; Climate change; Co-benefits; Air pollution; Sustainable cities; Urban transport; Modal share ID AIR-POLLUTION; UNITED-STATES; LAND-USE; CONGESTION; CITIES; CITY; BOTTLENECK; EMISSIONS; TYPOLOGY; QUALITY AB With global environmental change and the rise of global megacities, environmental and social externalities of urban systems, and especially of urban form, become increasingly prevalent. The question of optimal urban form has been debated and investigated by different disciplines in numerous contexts, including those of transport costs, land consumption and congestion. Here we elucidate theoretically how urban form and the urban transport system systematically modifies sustainability concerns, such as greenhouse gas emissions, local air pollution and congestion. We illustrate our analytical considerations with empirical analysis. Denser urban form would almost unambiguously mitigate climate change, but it would also lead to undesired effects, such as a higher proportion of urban dwellers affected by air pollution. Our study presents a 'sustainability window' by highlighting trade-offs between these sustainability concerns as a function of urban form. Only a combination of transportation policies, infrastructure investments and progressive public finance enables the development of cities that perform well in several sustainability dimensions. We estimate that a residential population density between 50 and 150 persons/ha and a modal share of environmental modes above at least 50% corresponds to the sustainability window of urban form. The parameters of the sustainability window of urban form is subject to policy changes and technological progress. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Lohrey, Steffen] Mercator Res Inst Global Commons & Climate Change, Torgauer Str 12-15, D-10829 Berlin, Germany. Tech Univ Berlin, Str 17 Juni 145, D-10623 Berlin, Germany. RP Lohrey, S (reprint author), Mercator Res Inst Global Commons & Climate Change, Torgauer Str 12-15, D-10829 Berlin, Germany. EM lohrey@mcc-berlin.net; creutzig@mcc-berlin.net CR Ahlfeldt G. M., 2014, EC DENSITY EVIDENCE Anas A, 1998, J ECON LIT, V36, P1426 Apte JS, 2012, ENVIRON SCI TECHNOL, V46, P3415, DOI 10.1021/es204021h ARNOTT R, 1990, J URBAN ECON, V27, P111, DOI 10.1016/0094-1190(90)90028-L Baiocchi G, 2015, GLOBAL ENVIRON CHANG, V34, P13, DOI 10.1016/j.gloenvcha.2015.06.001 Batty M, 2009, INT ENCY HUMAN GEOGR Baur A. H., 2013, J URBAN PLANN DEV, V140 Bell ML, 2004, ENVIRON HEALTH PERSP, V112, P6, DOI 10.1289/ehp.6539 Bennett DH, 2002, ENVIRON SCI TECHNOL, V36, p206A, DOI 10.1021/es0222770 Bongardt D, 2013, LOW CARBON LAND TRAN Bulkeley H., 2005, CITIES CLIMATE CHANG, V4 Cervero R., 1998, TRANSIT METROPOLIS G Creutzig F., 2015, TRANSP REV Creutzig F, 2014, URBAN CLIM, V10, P63, DOI 10.1016/j.uclim.2014.09.003 Creutzig F, 2015, P NATL ACAD SCI USA, V112, P6283, DOI 10.1073/pnas.1315545112 Creutzig F, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044042 Creutzig F, 2011, ENERG POLICY, V39, P2396, DOI 10.1016/j.enpol.2011.01.062 Creutzig F, 2009, TRANSPORT RES D-TR E, V14, P120, DOI 10.1016/j.trd.2008.11.007 Deakin E., 1992, CURBING GRIDLOCK PEA, V242, P334 Echenique MH, 2012, J AM PLANN ASSOC, V78, P121, DOI 10.1080/01944363.2012.666731 Ewing R, 2010, J AM PLANN ASSOC, V76, P265, DOI 10.1080/01944361003766766 Frank L. D., 1994, TRANSPORT RES REC, P44 Fujita M., 1989, URBAN EC THEORY Gehl J., 2013, CITIES PEOPLE GORDON P, 1989, INT REGIONAL SCI REV, V12, P45, DOI 10.1177/016001768901200103 Grubler A, 2012, URBAN ENERGY SYSTEMS, P1307 Gubins S, 2014, J URBAN ECON, V80, P51, DOI 10.1016/j.jue.2013.09.001 HEALD CL, 2006, J GEOPHYS RES ATMOS, V111 Heppenstall AJ, 2011, AGENT BASED MODELS G I. E. Agency, 2008, WORLD EN OUTL Kahn Ribeiro S., 2012, GLOBAL ENERGY ASSESS, P575 Karppinen A, 2000, ATMOS ENVIRON, V34, P3723, DOI 10.1016/S1352-2310(00)00074-1 KENWORTHY J.R., 2001, MILLENNIUM CITIES DA Kickhofer B., 2012, P KUHM NECT C TRANSP, P12 Lin JT, 2014, P NATL ACAD SCI USA, V111, P1736, DOI 10.1073/pnas.1312860111 Marshall JD, 2005, ATMOS ENVIRON, V39, P283, DOI 10.1016/j.atmosenv.2004.09.059 Masson V, 2014, URBAN CLIM, V10, P407, DOI 10.1016/j.uclim.2014.03.004 Nagel K, 2013, NETW SPAT ECON, P1, DOI DOI 10.1007/S11067-013-9204-8 NELSON JP, 1978, J URBAN ECON, V5, P357, DOI 10.1016/0094-1190(78)90016-5 NEWMAN P., 1999, SUSTAINABILITY CITIE NEWMAN PWG, 1989, J AM PLANN ASSOC, V55, P24, DOI 10.1080/01944368908975398 Nowak David J., 2006, Urban Forestry & Urban Greening, V4, P115, DOI 10.1016/j.ufug.2006.01.007 O. Organisation For Economic Development and Cooperation, 2014, OECD METR EXPL Parry IWH, 2007, J ECON LIT, V45, P373, DOI 10.1257/jel.45.2.373 Portney KE, 2010, URBAN AFF REV, V46, P119, DOI 10.1177/1078087410366122 Prud'homme R, 2005, TRANSP POLICY, V12, P279, DOI 10.1016/j.tranpol.2005.03.001 Pucher J, 2008, TRANSPORT REV, V28, P495, DOI 10.1080/01441640701806612 Road User Charging Options for London (ROCOL), 2000, ROAD CHARG OPT LOND Seto K.C., 2014, RETHINKING GLOBAL LA Sims R, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P599 SOLOW RM, 1972, SWED J ECON, V74, P161, DOI 10.2307/3439015 Stocker T., 2013, TECHNICAL SUMMARY BO, P33, DOI [10.1017/CBO9781107415324.005, DOI 10.1017/CBO9781107415324.005] Straszheim M., 1987, HDB REGIONAL URBAN E, P717 Thompson TM, 2014, NAT CLIM CHANGE TomTom International B.V, 2014, TOMTOM TRAFF IND 201 United Nations, 2012, WORLD URB PROSP 2011 Vardoulakis S, 2003, ATMOS ENVIRON, V37, P155, DOI 10.1016/S1352-2310(02)00857-9 VICKREY WS, 1969, AM ECON REV, V59, P251 Viguie V, 2014, TECHNOL FORECAST SOC, V87, P305, DOI 10.1016/j.techfore.2013.12.028 WALTERS AA, 1961, ECONOMETRICA, V29, P676, DOI 10.2307/1911814 Wegener M, 2004, HDB TRANSPORT, P127, DOI DOI 10.1007/S10654-011-9614-1 Wheaton WC, 1998, J URBAN ECON, V43, P258, DOI 10.1006/juec.1997.2043 Woodcock J, 2009, LANCET, V374, P1930, DOI 10.1016/S0140-6736(09)61714-1 Yang IA, 2013, RESPIROLOGY, V18, P3, DOI 10.1111/j.1440-1843.2012.02229.x NR 64 TC 9 Z9 9 U1 3 U2 23 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 1361-9209 J9 TRANSPORT RES D-TR E JI Transport. Res. Part D-Transport. Environ. PD JUN PY 2016 VL 45 SI SI BP 96 EP 111 DI 10.1016/j.trd.2015.09.004 PG 16 WC Environmental Studies; Transportation; Transportation Science & Technology SC Environmental Sciences & Ecology; Transportation GA DN8JL UT WOS:000377324900007 DA 2019-04-09 ER PT J AU Blasi, E Passeri, N Franco, S Galli, A AF Blasi, E. Passeri, N. Franco, S. Galli, A. TI An ecological footprint approach to environmental-economic evaluation of farm results SO AGRICULTURAL SYSTEMS LA English DT Article DE Environmental/economic trade-off; Ecological Footprint; Environmental impact; Agro-environmental performances ID AGRICULTURAL SYSTEMS; ECOSYSTEM SERVICES; CARBON-CYCLE; SUSTAINABILITY; METHODOLOGY; INDICATORS; ACCOUNTS; FRAMEWORK; CAPACITY; YIELD AB Farmers' cultivation choices affect the natural cycles of crops and impact their production. By assessing the farming activities, as influenced by crop types, land suitability and cultivation choices, the effectiveness of agricultural practices in terms of environmental impact can be evaluated. The study of the relationships between agriculture, environment and economic performance should be deepened, by considering the connection between agricultural activities and the use of natural resources beyond the economic issues, which are often taken as the unique or, at least, the main goal of human activities. The aim of this paper is to assess and to analyse in a comparative way the environmental and economic results of a crop production system at farm level. The methodology for the evaluation of environmental performance is based on a modified version of the Ecological Footprint account, used to measure the demand for natural resources linked to the farm's operations, which is compared with the Biocapacity of the crop system itself. The economic performances are assessed by means of crops' analytical budgets. The results provided by the case study analysis show that the considered farm cropping system reports an overall positive ecological balance (+ 2.4 gha) together with an acceptable gross margin (16,200 (sic)). It emerges that crops with negative environmental performances sustain farm income, while the crops with a positive ecological balance bring a very limited contribution to economic profitability. Such results lead to some considerations about the importance of carefully considering the trade-off between economic and environmental consequences of farming activities in order to drive farmers towards a more sustainable behaviour. (C) 2016 Published by Elsevier Ltd. C1 [Blasi, E.] Univ Tuscia, Dept Innovat Biol Agrofood & Forest Syst, Via San Camillo de Lellis, I-01100 Viterbo, Italy. [Passeri, N.] Via Cavour 35, I-01100 Viterbo, Italy. [Franco, S.] Univ Tuscia, Dept Econ & Managemet, Via Paradiso 47, I-01100 Viterbo, Italy. [Galli, A.] Global Footprint Network, 7-9 Chemin Balexert, CH-1219 Geneva, Switzerland. RP Passeri, N (reprint author), Via Cavour 35, I-01100 Viterbo, Italy. EM npasseri@unitus.it OI BLASI, Emanuele/0000-0003-1773-0678 CR Ardente F, 2006, ENVIRON MANAGE, V38, P350, DOI 10.1007/s00267-005-0103-8 Bagliani M, 2008, J ENVIRON MANAGE, V86, P354, DOI 10.1016/j.jenvman.2006.04.015 Birkved M, 2006, ECOL MODEL, V198, P433, DOI 10.1016/j.ecolmodel.2006.05.035 Borucke M, 2013, ECOL INDIC, V24, P518, DOI 10.1016/j.ecolind.2012.08.005 Calker K.J.V., 2004, AGR SYST, V82, P139 Cowie AL, 2007, ENVIRON SCI POLICY, V10, P306, DOI 10.1016/j.envsci.2007.03.003 Cuandra M., 2007, ECOL INDIC, V7, P133, DOI DOI 10.1016/J.EC0LIND.2005.11.003 Dale VH, 2013, LANDSCAPE ECOL, V28, P1111, DOI 10.1007/s10980-012-9814-4 de Ponti T, 2012, AGR SYST, V108, P1, DOI 10.1016/j.agsy.2011.12.004 Desjardins R.L., 2000, ENV SUSTAINABILITY C, P133 DEUMLING D, 2003, EATING EARTH SUSTAIN FAO, 2007, FAO AGR SER, V38 Ferng JJ, 2005, ECOL ECON, V53, P415, DOI 10.1016/j.ecolecon.2004.11.010 Fiala N, 2008, ECOL ECON, V67, P519, DOI 10.1016/j.ecolecon.2008.07.023 Franzluebbers AJ, 2005, SOIL TILL RES, V83, P1, DOI 10.1016/j.still.2005.02.020 Fung IY, 2005, P NATL ACAD SCI USA, V102, P11201, DOI 10.1073/pnas.0504949102 Galli A., 2007, International Journal of Ecodynamics, V2, P250 Galli A, 2015, ENVIRON SCI POLICY, V48, P210, DOI 10.1016/j.envsci.2015.01.008 Galli A, 2014, BIOL CONSERV, V173, P121, DOI 10.1016/j.biocon.2013.10.019 Gan YT, 2012, INT J LIFE CYCLE ASS, V17, P635, DOI 10.1007/s11367-012-0383-1 Garcia-Oliva F, 2004, CLIMATIC CHANGE, V65, P347, DOI 10.1023/B:CLIM.0000038211.84327.d9 Gerdessen JC, 2013, AGR SYST, V118, P78, DOI 10.1016/j.agsy.2013.03.004 IPCC, 2006, IPCC GUIDELINES NATL Kitzes J, 2009, ECOL ECON, V68, P1991, DOI 10.1016/j.ecolecon.2008.06.022 Lal R, 2004, NUTR CYCL AGROECOSYS, V70, P103, DOI 10.1023/B:FRES.0000048480.24274.0f Liebig MA, 2007, AGRON J, V99, P899, DOI 10.2134/agronj2006.0131 Limnios EAM, 2009, ECOL ECON, V68, P2525, DOI 10.1016/j.ecolecon.2009.04.020 Liu QP, 2008, PEDOSPHERE, V18, P154, DOI 10.1016/S1002-0160(08)60003-X Merante P, 2015, AGR SYST, V136, P1, DOI 10.1016/j.agsy.2015.02.001 Monfreda C, 2004, LAND USE POLICY, V21, P231, DOI 10.1016/j.landusepol.2003.10.009 Moss MR, 2000, LANDSCAPE ECOL, V15, P303, DOI 10.1023/A:1008144402408 Mozner Z, 2012, ECOL INDIC, V16, P58, DOI 10.1016/j.ecolind.2011.06.034 Nemecek T., 2007, 15A AGR RECK TAEN RE Niccolucci V, 2008, AGR ECOSYST ENVIRON, V128, P162, DOI 10.1016/j.agee.2008.05.015 Odum HT, 2000, ECOSYSTEMS, V3, P21, DOI 10.1007/s100210000005 OECD, 2013, POL INSTR SUPP GREEN Passeri N, 2013, ECOL INDIC, V29, P1, DOI 10.1016/j.ecolind.2012.11.022 Rees W.E., 1996, IMPRONTA ECOLOGICA C REES WE, 1994, INVESTING IN NATURAL CAPITAL, P362 Ribaudo M, 2010, ECOL ECON, V69, P2085, DOI 10.1016/j.ecolecon.2010.02.004 Suh S, 2004, ENVIRON SCI TECHNOL, V38, P657, DOI 10.1021/es0263745 Tellarini V, 2000, AGR ECOSYST ENVIRON, V77, P111, DOI 10.1016/S0167-8809(99)00097-3 Thomassen MA, 2005, AGR ECOSYST ENVIRON, V111, P185, DOI 10.1016/j.agee.2005.06.013 van der Werf HMG, 2007, AGR ECOSYST ENVIRON, V118, P327, DOI 10.1016/j.agee.2006.06.005 Wackemagel M., 1996, OUR ECOLOGICAL FOOTP West TO, 2002, ENVIRON POLLUT, V116, P439, DOI 10.1016/S0269-7491(01)00221-4 NR 46 TC 9 Z9 11 U1 1 U2 45 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0308-521X EI 1873-2267 J9 AGR SYST JI Agric. Syst. PD JUN PY 2016 VL 145 BP 76 EP 82 DI 10.1016/j.agsy.2016.02.013 PG 7 WC Agriculture, Multidisciplinary SC Agriculture GA DM7PB UT WOS:000376551400007 DA 2019-04-09 ER PT J AU Quarshie, AM Salmi, A Leuschner, R AF Quarshie, Anne M. Salmi, Asta Leuschner, Rudolf TI Sustainability and corporate social responsibility in supply chains: The state of research in supply chain management and business ethics journals SO JOURNAL OF PURCHASING AND SUPPLY MANAGEMENT LA English DT Article DE Sustainability; Corporate social responsibility; Ethics; Supply chain management; Purchasing and supply management; A systematic literature review ID CONCEPTUAL-FRAMEWORK; COMPETITIVE ADVANTAGE; FAIR TRADE; ENVIRONMENTAL-MANAGEMENT; DYNAMIC CAPABILITIES; FIRM PERFORMANCE; PERSPECTIVE; GREEN; LOGISTICS; CONDUCT AB Sustainability has become a popular topic, not only in business research at large, but specifically in the supply chain management (SCM) discipline. In addition, the business ethics (BE) field has an extensive stream of literature focusing on supply chain topics. While some exchange of ideas can be witnessed, the two streams developed largely independently. A key purpose of this article is to examine and contrast existing research and knowledge creation, focusing on sustainability and corporate social responsibility (CSR) issues in supply chains, within and across these two disciplines. The in-depth systematic literature review covers 195 articles, published in 12 peer-reviewed journals from 2007 to 2013, examining the methodological and theoretical approaches, as well as the main research focus areas. We found highly complementary research topic areas but only limited synergy and dialogue between the disciplines. The research area at large would benefit from greater integration. Based on our findings, we propose a future research agenda that connects across the disciplines and highlights key areas that would benefit from further inquiry. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Quarshie, Anne M.] Aalto Univ, Sch Business, POB 21210, FI-00076 Aalto, Finland. [Salmi, Asta] Lappeenranta Univ Technol, Sch Business & Management, POB 20, FI-53851 Lappeenranta, Finland. [Leuschner, Rudolf] Rutgers State Univ, Rutgers Business Sch, 1 Washington Pk, Newark, NJ 07102 USA. RP Quarshie, AM (reprint author), Aalto Univ, Sch Business, POB 21210, FI-00076 Aalto, Finland. EM anne.quarshie@aalto.fi; asta.salmi@lut.fi; rleuschner@business.rutgers.edu OI Salmi, Asta/0000-0002-6134-2800; Quarshie, Anne/0000-0002-9116-5657; Leuschner, Rudolf/0000-0001-8074-3186 FU Foundation for Economic Education (Liikesivistysrahasto); HSE Foundation FX We are grateful for the comments and guidance provided by the editor, George Zsidisin, and reviewers, which resulted in a greatly improved paper. We are also thankful for the feedback on this research by Finn Wynstra, Craig Carter, Lisa Ellram, Guido Palazzo, and participants of the. IPSERA 2012 conference, among others. The first author acknowledges Grant funding from the Foundation for Economic Education (Liikesivistysrahasto) and the HSE Foundation. CR Adebanjo D, 2013, SUPPLY CHAIN MANAG, V18, P553, DOI 10.1108/SCM-08-2012-0272 Albrecht C, 2010, J BUS ETHICS, V95, P227, DOI 10.1007/s10551-009-0356-x Andersen M, 2009, SUPPLY CHAIN MANAG, V14, P75, DOI 10.1108/13598540910941948 [Anonymous], 1987, OUR COMM FUT REP WOR Aravind D, 2011, BUS ETHICS Q, V21, P73, DOI 10.5840/beq20112114 BARNEY J, 1991, J MANAGE, V17, P99, DOI 10.1177/014920639101700108 Bask A, 2013, INT J PHYS DISTR LOG, V43, P380, DOI 10.1108/IJPDLM-03-2012-0081 Bell JE, 2012, J BUS LOGIST, V33, P158, DOI 10.1111/j.0000-0000.2012.01048.x Bendixen M, 2007, J BUS ETHICS, V76, P69, DOI 10.1007/s10551-006-9273-4 Bjorklund M, 2011, J PURCH SUPPLY MANAG, V17, P11, DOI 10.1016/j.pursup.2010.04.002 Blome C, 2013, J BUS ETHICS, V116, P567, DOI 10.1007/s10551-012-1481-5 Bowen FE, 2001, PROD OPER MANAG, V10, P174 Bowen F, 2010, J BUS ETHICS, V95, P297, DOI 10.1007/s10551-009-0360-1 Brockhaus S, 2013, J BUS LOGIST, V34, P167, DOI 10.1111/jbl.12017 Burchielli R., 2009, J BUS ETHICS, V90, pS575 Campbell JT, 2012, J INT BUS STUD, V43, P84, DOI 10.1057/jibs.2011.45 Cantor DE, 2012, J SUPPLY CHAIN MANAG, V48, P33, DOI 10.1111/j.1745-493X.2011.03257.x Cao Z, 2015, J OPER MANAG, V33-34, P15, DOI 10.1016/j.jom.2014.09.009 Carroll A., 1991, BUS HORIZONS, V34, P39, DOI [10.1016/0007-6813(91)90005-G, DOI 10.1016/0007-6813(91)90005-G] Carroll A. B., 1979, ACAD MANAGE REV, V4, P497, DOI [10.5465/amr.1979.4498296, DOI 10.5465/AMR.1979.4498296] Carter C. R., 2004, Journal of Business Logistics, V25, P145 Carter CR, 2000, J OPER MANAG, V18, P191, DOI 10.1016/S0272-6963(99)00016-9 Carter CR, 2011, INT J PHYS DISTR LOG, V41, P46, DOI 10.1108/09600031111101420 Carter CR, 2008, INT J PHYS DISTR LOG, V38, P360, DOI 10.1108/09600030810882816 CDP, 2014, WAT RISK VAL CREAT C Chapman K, 2009, J BUS LOGIST, V30, P197, DOI 10.1002/j.2158-1592.2009.tb00119.x Charki MH, 2011, J BUS ETHICS, V98, P17, DOI 10.1007/s10551-010-0532-z Cooper H, 2010, RES SYNTHESIS METAAN Cooper Martha C., 1997, INT J LOGIST MANAG, V8, P1, DOI DOI 10.1108/09574099710805556 Corbett CJ, 2001, PROD OPER MANAG, V10, P327, DOI 10.1111/j.1937-5956.2001.tb00378.x Coulter C., 2014, GUARDIAN SUSTAI 0514 Crespin-Mazet F, 2012, J PURCH SUPPLY MANAG, V18, P207, DOI 10.1016/j.pursup.2012.01.002 Davies IA, 2010, J BUS ETHICS, V96, P317, DOI 10.1007/s10551-010-0468-3 de Bakker FGA, 2013, ORGAN STUD, V34, P573, DOI 10.1177/0170840613479222 Denyer D, 2009, SAGE HDB ORG RES MET, P671 Doh J, 2012, BUS SOC REV, V117, P443, DOI 10.1111/j.1467-8594.2012.00414.x Doh J, 2010, BUS ETHICS Q, V20, P481, DOI 10.5840/beq201020331 DONALDSON T, 1995, ACAD MANAGE REV, V20, P65, DOI 10.5465/AMR.1995.9503271992 Doorey DJ, 2011, J BUS ETHICS, V103, P587, DOI 10.1007/s10551-011-0882-1 Drake MJ, 2008, J BUS ETHICS, V82, P851, DOI 10.1007/s10551-007-9597-8 Edwards JB, 2010, INT J PHYS DISTR LOG, V40, P103, DOI 10.1108/09600031011018055 Egels-Zanden N, 2007, J BUS ETHICS, V70, P175, DOI 10.1007/s10551-006-9104-7 Ehrgott M, 2013, J BUS LOGIST, V34, P131, DOI 10.1111/jbl.12015 Elkington J, 1997, CANNIBALS FORKS TRIP Flint DJ, 2009, INT J PHYS DISTR LOG, V39, P841, DOI 10.1108/09600030911011441 Foerstl K, 2010, J PURCH SUPPLY MANAG, V16, P118, DOI 10.1016/j.pursup.2010.03.011 Fontes J, 2014, HDB PRODUCT SOCIAL I Freeman R., 1984, STRATEGIC MANAGEMENT Garriga E, 2004, J BUS ETHICS, V53, P51, DOI 10.1023/B:BUSI.0000039399.90587.34 Gattiker TF, 2010, J OPER MANAG, V28, P72, DOI 10.1016/j.jom.2009.09.001 Gereffi G, 2005, REV INT POLIT ECON, V12, P78, DOI 10.1080/09692290500049805 Gereffi G, 1999, J INT ECON, V48, P37, DOI 10.1016/S0022-1996(98)00075-0 Gimenez C, 2013, J BUS ETHICS, V116, P189, DOI 10.1007/s10551-012-1458-4 Giunipero LC, 2012, J PURCH SUPPLY MANAG, V18, P258, DOI 10.1016/j.pursup.2012.06.003 Golicic SL, 2013, J SUPPLY CHAIN MANAG, V49, P78, DOI 10.1111/jscm.12006 Gulati R, 2000, STRATEGIC MANAGE J, V21, P203, DOI 10.1002/(SICI)1097-0266(200003)21:3<203::AID-SMJ102>3.0.CO;2-K Gullett J, 2009, J BUS ETHICS, V90, P329, DOI 10.1007/s10551-010-0430-4 Hakansson H., 1995, DEV RELATIONSHIPS BU Hall J, 2010, INT J PHYS DISTR LOG, V40, P124, DOI 10.1108/09600031011020368 Halldorsson A, 2010, INT J PHYS DISTR LOG, V40, P5, DOI 10.1108/09600031011018019 Halter MV, 2009, J BUS ETHICS, V84, P373, DOI 10.1007/s10551-009-0198-6 HART SL, 1995, ACAD MANAGE REV, V20, P986, DOI 10.2307/258963 Hawkins TG, 2011, J BUS ETHICS, V103, P567, DOI 10.1007/s10551-011-0881-2 Hemphill TA, 2013, BUS SOC REV, V118, P489, DOI 10.1111/basr.12019 Hill JA, 2009, J OPER MANAG, V27, P281, DOI 10.1016/j.jom.2008.10.002 Husted BW, 2006, J INT BUS STUD, V37, P838, DOI 10.1057/palgrave.jibs.8400227 Ingenbleek PTM, 2013, J BUS ETHICS, V113, P461, DOI 10.1007/s10551-012-1316-4 Jacobs BW, 2010, J OPER MANAG, V28, P430, DOI 10.1016/j.jom.2010.01.001 Jiang B, 2009, J OPER MANAG, V27, P267, DOI 10.1016/j.jom.2008.09.005 Jiang B, 2009, J BUS ETHICS, V85, P77, DOI 10.1007/s10551-008-9750-z Karjalainen K, 2009, J BUS ETHICS, V85, P245, DOI 10.1007/s10551-008-9768-2 Kim ST, 2012, INT J LOGIST MANAG, V23, P238, DOI 10.1108/09574091211265378 Klassen RD, 1996, MANAGE SCI, V42, P1199, DOI 10.1287/mnsc.42.8.1199 Knudsen JS, 2013, J BUS ETHICS, V117, P387, DOI 10.1007/s10551-012-1527-8 Krause DR, 2009, J SUPPLY CHAIN MANAG, V45, P18, DOI 10.1111/j.1745-493X.2009.03173.x Large RO, 2013, J PURCH SUPPLY MANAG, V19, P122, DOI 10.1016/j.pursup.2013.05.002 Lim SJ, 2008, J BUS ETHICS, V81, P143, DOI 10.1007/s10551-007-9485-2 Lin CY, 2011, J BUS ETHICS, V98, P67, DOI 10.1007/s10551-010-0535-9 Linton JD, 2007, J OPER MANAG, V25, P1075, DOI 10.1016/j.jom.2007.01.012 Lund-Thomsen P., 2010, J BUS ETHICS, V93, pS201 Ma ZZ, 2012, BUS ETHICS, V21, P286, DOI 10.1111/j.1467-8608.2012.01652.x Matten D, 2005, ACAD MANAGE REV, V30, P166, DOI 10.5465/AMR.2005.15281448 Matten D, 2008, ACAD MANAGE REV, V33, P404, DOI 10.5465/AMR.2008.31193458 Mefford R.N., 2011, BUS SOC REV, V116, P109 Mena C, 2013, J SUPPLY CHAIN MANAG, V49, P58, DOI 10.1111/jscm.12003 Mena S, 2012, BUS ETHICS Q, V22, P527, DOI 10.5840/beq201222333 Miemczyk J, 2012, SUPPLY CHAIN MANAG, V17, P478, DOI 10.1108/13598541211258564 Mitchell RK, 1997, ACAD MANAGE REV, V22, P853, DOI 10.2307/259247 Mollenkopf D, 2010, INT J PHYS DISTR LOG, V40, P14, DOI 10.1108/09600031011018028 Montabon F., 2000, J SUPPLY CHAIN MANAG, V36, P4, DOI DOI 10.1111/J.1745-493X.2000.TB00073.X Montiel I, 2012, STRATEGIC MANAGE J, V33, P1103, DOI 10.1002/smj.1957 Morali O, 2013, J BUS ETHICS, V117, P635, DOI 10.1007/s10551-012-1539-4 Muller M., 2009, J BUS ETHICS, V89, P509 Murphy P. R., 1996, J BUSINESS LOGISTICS, V17, P191 Nahapiet J, 1998, ACAD MANAGE REV, V23, P242, DOI 10.2307/259373 Ntayi JM, 2013, J BUS ETHICS, V112, P417, DOI 10.1007/s10551-012-1269-7 Pagell M, 2009, J SUPPLY CHAIN MANAG, V45, P37, DOI 10.1111/j.1745-493X.2009.03162.x Perry P, 2013, INT J PHYS DISTR LOG, V43, P478, DOI 10.1108/IJPDLM-03-2012-0107 Petersen KJ, 2014, J BUS LOGIST, V35, P36, DOI 10.1111/jbl.12036 Pinkse J, 2010, INT BUS REV, V19, P160, DOI 10.1016/j.ibusrev.2009.11.005 Preuss L, 2010, J BUS ETHICS, V94, P471, DOI 10.1007/s10551-009-0277-8 Prieto-Carron M, 2008, J BUS ETHICS, V83, P5, DOI 10.1007/s10551-007-9650-7 Pullman ME, 2009, J SUPPLY CHAIN MANAG, V45, P38, DOI 10.1111/j.1745-493X.2009.03175.x Rasche A, 2010, BUS ETHICS, V19, P280, DOI 10.1111/j.1467-8608.2010.01592.x Reed D, 2009, J BUS ETHICS, V86, P3, DOI 10.1007/s10551-008-9757-5 Reuter C, 2010, J SUPPLY CHAIN MANAG, V46, P45, DOI 10.1111/j.1745-493X.2010.03189.x Rigot-Muller P, 2013, INT J LOGIST MANAG, V24, P407, DOI 10.1108/IJLM-01-2013-0002 Ritvala T, 2014, INT BUS REV, V23, P942, DOI 10.1016/j.ibusrev.2014.02.006 Robinson PK, 2010, J BUS ETHICS, V91, P279, DOI 10.1007/s10551-010-0619-6 Rogers DS, 2012, J BUS LOGIST, V33, P107, DOI 10.1111/j.0000-0000.2012.01043.x Roloff J, 2010, J BUS ETHICS, V97, P517, DOI 10.1007/s10551-010-0522-1 Roth AV, 2008, J SUPPLY CHAIN MANAG, V44, P22, DOI 10.1111/j.1745-493X.2008.00043.x Saini A, 2010, J BUS ETHICS, V95, P439, DOI 10.1007/s10551-010-0432-2 Scherer AG, 2011, J MANAGE STUD, V48, P899, DOI 10.1111/j.1467-6486.2010.00950.x Seitanidi M. M., 2014, ANN REV SOCIAL PARTN Sethi SP, 2011, J BUS ETHICS, V99, P483, DOI 10.1007/s10551-010-0673-0 Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 Smith NC, 2010, BUS ETHICS Q, V20, P617, DOI 10.5840/beq201020440 Soosay C, 2012, SUPPLY CHAIN MANAG, V17, P68, DOI 10.1108/13598541211212212 Srivastava SK, 2007, INT J MANAG REV, V9, P53, DOI 10.1111/j.1468-2370.2007.00202.x Svensson G, 2007, SUPPLY CHAIN MANAG, V12, P262, DOI 10.1108/13598540710759781 Svensson G, 2009, SUPPLY CHAIN MANAG, V14, P259, DOI 10.1108/13598540910970090 Tate WL, 2013, J PURCH SUPPLY MANAG, V19, P264, DOI 10.1016/j.pursup.2013.08.001 Tate WL, 2012, J PURCH SUPPLY MANAG, V18, P173, DOI 10.1016/j.pursup.2012.07.001 Tate WL, 2011, J BUS LOGIST, V32, P6, DOI 10.1111/j.2158-1592.2011.01001.x Tate WL, 2010, J SUPPLY CHAIN MANAG, V46, P19, DOI 10.1111/j.1745-493X.2009.03184.x Teece DJ, 1997, STRATEGIC MANAGE J, V18, P509, DOI 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z Thornton LM, 2013, J SUPPLY CHAIN MANAG, V49, P66, DOI 10.1111/jscm.12014 UN Global Compact Business for Social Responsibility, 2010, SUPPL CHAIN SUST PRA Uzzi B, 1997, ADMIN SCI QUART, V42, P35, DOI 10.2307/2393808 Van Huijstee M, 2010, BUS SOC REV, V115, P249, DOI 10.1111/j.1467-8594.2010.00364.x van Tulder R, 2001, J INT BUS STUD, V32, P267, DOI 10.1057/palgrave.jibs.8490952 van Tulder R, 2009, J BUS ETHICS, V85, P399, DOI 10.1007/s10551-008-9742-z Vurro C, 2009, J BUS ETHICS, V90, P607, DOI 10.1007/s10551-010-0595-x Walker Helen, 2008, Journal of Purchasing and Supply Management, V14, P69, DOI 10.1016/j.pursup.2008.01.007 Walker H, 2012, J PURCH SUPPLY MANAG, V18, P201, DOI 10.1016/j.pursup.2012.11.003 Walton S.V., 1998, J SUPPLY CHAIN MANAG, V34, P2, DOI DOI 10.1111/J.1745-493X.1998.TB00042.X Watson K, 2014, INT J PROD RES, V52, P4364, DOI 10.1080/00207543.2014.885144 Winter M, 2013, INT J PHYS DISTR LOG, V43, P18, DOI 10.1108/09600031311293237 Wolf J, 2011, J BUS ETHICS, V102, P221, DOI 10.1007/s10551-011-0806-0 Wong CWY, 2013, J SUPPLY CHAIN MANAG, V49, P114, DOI 10.1111/jscm.12005 Worthington I, 2009, J BUS ETHICS, V90, P47, DOI 10.1007/s10551-008-0025-5 Wu H. J., 1994, INT J PHYS DISTRIB, V25, P20, DOI DOI 10.1108/09600039510083925 Wu ZH, 2011, J OPER MANAG, V29, P577, DOI 10.1016/j.jom.2010.10.001 WWF, 2014, LIV PLAN REP 2014 SP WWF, 2012, 2050 CRIT GUID RESP Wynstra F, 2010, J PURCH SUPPLY MANAG, V16, P279, DOI 10.1016/j.pursup.2010.09.003 Yaziji M, 2009, BUS VAL CREAT SOC, P1, DOI 10.1017/CBO9780511626708 Yu XM, 2008, J BUS ETHICS, V81, P513, DOI 10.1007/s10551-007-9521-2 Zhu QH, 2004, J OPER MANAG, V22, P265, DOI 10.1016/j.jom.2004.01.005 Zhu QH, 2010, SUPPLY CHAIN MANAG, V15, P306, DOI 10.1108/13598541011054670 Zsidisin GA, 2007, J OPER MANAG, V25, P165, DOI 10.1016/j.jom.2006.02.008 Zwolinski M, 2007, BUS ETHICS Q, V17, P689, DOI 10.5840/beq20071745 NR 153 TC 49 Z9 50 U1 22 U2 198 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1478-4092 EI 1873-6505 J9 J PURCH SUPPLY MANAG JI J. Purch. Supply Manag. PD JUN PY 2016 VL 22 IS 2 BP 82 EP 97 DI 10.1016/j.pursup.2015.11.001 PG 16 WC Management SC Business & Economics GA DN1CU UT WOS:000376804700003 HC Y HP N DA 2019-04-09 ER PT J AU Banos-Gonzalez, I Terrer, C Martinez-Fernandez, J Esteve-Selma, MA Carrascal, LM AF Banos-Gonzalez, Isabel Terrer, C. Martinez-Fernandez, J. Esteve-Selma, M. A. Carrascal, L. M. TI Dynamic modelling of the potential habitat loss of endangered species: the case of the Canarian houbara bustard (Chlamydotis undulata fuerteventurae) SO EUROPEAN JOURNAL OF WILDLIFE RESEARCH LA English DT Article DE Chlamydotis undulata fuerteventurae; Habitat loss; Threatening factors; Dynamic model; Arid island; Scenarios ID LAND-USE CHANGES; SYSTEM DYNAMICS; BIODIVERSITY CONSERVATION; SOCIOECOLOGICAL SYSTEMS; POPULATION-SIZE; EASTERN MOROCCO; ISLANDS; LANDSCAPE; SPAIN; SUSTAINABILITY AB In this work, we apply a dynamic modelling approach to analyse the habitat loss of the Canarian houbara bustard (Chlamydotis undulata fuerteventurae). This tool allows us to assess the effects of the socio-economic and environmental interactions on the factors threatening the habitat and to carry out a prospective analysis. The results show a potential habitat loss of around 13 % during the period 1996-2011, the land uptake and increase in new roads and tracks being the factors contributing most. After model testing, a set of scenarios was explored. Under the business as usual (BAU) scenario, around 20 % of the habitat would be lost by the end of the period considered (2012-2025). The impact of the economic growth scenario on the habitat would mean an additional loss of around 21 % with respect to BAU, whereas under the recession scenario, the loss might be around 6.5 % lower than BAU. The policy of restoration of gavias-traditional farming systems-would suppose an additional loss of almost 6 %, relative to BAU. If this policy took place under economic growth conditions, it might mean an additional loss of almost 28 % relative to BAU. These results point to the existence of a potential trade-off between the recuperation of ecosystem services offered by restored gavias and the conservation of the houbara habitat, which must be addressed within the management processes, as well as to the need for compensatory measures to guarantee the conservation goals. C1 [Banos-Gonzalez, Isabel; Esteve-Selma, M. A.] Univ Murcia, Dept Ecol & Hydrol, Campus Espinardo, E-30100 Murcia, Spain. [Banos-Gonzalez, Isabel] Univ Fribourg, Dept Geosci, 4 Chemin Musee, CH-1700 Fribourg, Switzerland. [Terrer, C.] Univ London Imperial Coll Sci Technol & Med, Dept Life Sci, Silwood Pk, Ascot SL5 7PY, Berks, England. [Martinez-Fernandez, J.] New Water Culture Fdn, C Pedro Cerbuna 12,4D, Zaragoza 50009, Spain. [Carrascal, L. M.] CSIC, Museo Nacl Ciencias Nat, Dept Biogeog & Global Change, C Jose Gutierrez Abascal 2, E-28006 Madrid, Spain. RP Banos-Gonzalez, I (reprint author), Univ Murcia, Dept Ecol & Hydrol, Campus Espinardo, E-30100 Murcia, Spain.; Banos-Gonzalez, I (reprint author), Univ Fribourg, Dept Geosci, 4 Chemin Musee, CH-1700 Fribourg, Switzerland. EM ibbg1@um.es RI Martinez-Fernandez, Julia/J-9681-2012; Terrer, Cesar/R-1103-2018; Carrascal, Luis M./B-8381-2008 OI Martinez-Fernandez, Julia/0000-0001-8675-947X; Terrer, Cesar/0000-0002-5479-3486; Carrascal, Luis M./0000-0003-1288-5531 FU Ministry of Industry, Tourism and Commerce; IDIGEO; MiCINN Acteparq FX The authors thank Mr. Jesus Minano and Ms. Francisca Carreno for their personal support, which allowed us to carry out this research. Furthermore, we acknowledge the help of Mr. Juan Antonio Lorenzo. This work has been developed as part of the project: "An integrated tool for the sustainable management and the development of an information and participation system in Biosphere Reserves," funded by the Ministry of Industry, Tourism and Commerce, Subprogram: Avanza Competitividad I+D+i 2010-2012. It has been supported also by the IDIGEO Project: "Platform for Research and Development of Geomatic Information Systems," funded by MiCINN Acteparq Year 2009-2011. We especially acknowledge the helpful comments of the editor and anonymous reviewers. CR ANDREN H, 1994, OIKOS, V71, P355, DOI 10.2307/3545823 Arechavaleta M., 2010, LISTA ESPECIES SILVE Banos-Gonzalez I., 2013, Ecosistemas, V22, P74, DOI 10.7818/ECOS.2013.22-3.11 Banos-Gonzalez I, 2015, ECOL MODEL, V306, P130, DOI 10.1016/j.ecolmodel.2014.08.014 Barlas Y, 1996, SYST DYNAM REV, V12, P183, DOI 10.1002/(SICI)1099-1727(199623)12:3<183::AID-SDR103>3.0.CO;2-4 Bourass K, 2015, EUR J WILDLIFE RES, V61, P563, DOI 10.1007/s10344-015-0930-8 Carrascal LM, 2008, AFR J ECOL, V46, P291, DOI 10.1111/j.1365-2028.2008.00971.x Carrascal LM, 2006, ARDEOLA, V53, P251 Carrascal LM, 2012, BIOL CONSERV, V152, P204, DOI 10.1016/j.biocon.2012.04.009 Aguilar MJA, 2010, BIODIVERS CONSERV, V19, P3089, DOI 10.1007/s10531-010-9881-2 Diaz FJ, 2011, AGR ECOSYST ENVIRON, V144, P253, DOI 10.1016/j.agee.2011.08.021 Fahrig L, 2003, ANNU REV ECOL EVOL S, V34 Fernandez-Palacios JM, 2008, J BIOGEOGR, V35, P379, DOI 10.1111/j.1365-2699.2008.01890.x Forrester JW, 1961, IND DYNAMICS Gangoso L, 2006, BIODIVERS CONSERV, V15, P2231, DOI 10.1007/s10531-004-7181-4 Gonzalez JA, 2008, ECOL SOC, V13 GRAFCAN, 2011, MAP VEG FUERT 2002 2 Hingrat Y, 2007, BIODIVERS CONSERV, V16, P597, DOI 10.1007/s10531-005-0603-0 Illera JC, 2010, J ARID ENVIRON, V74, P1408, DOI 10.1016/j.jaridenv.2010.04.012 IUCN, 2009, WORLD CONS UN RED LI Jorgensen JE, 2001, FUNDAMENTALS ECOLOGI Jorgensen SE, 2015, ECOL MODEL, V306, P106, DOI 10.1016/j.ecolmodel.2014.06.004 Kelly RA, 2013, ENVIRON MODELL SOFTW, V47, P159, DOI 10.1016/j.envsoft.2013.05.005 Lavee D, 1985, BUSTARD STUDIES, V3, P103 Le Cuziat J, 2005, ANIM CONSERV, V8, P143, DOI 10.1017/S1367943005001903 Lorenzo J.A., 2004, LIBRO ROJO AVES ESPA Lorenzo J. A., 2007, MORTALIDAD AVES TEND LORENZO J. A., 2007, AVUTARDA HUBARA ESPA Lorenzo JA, 2005, ESCRIBANO DIGITAL, V51, P11 Martin A, 2001, AVES ARCHIPIELAGO CA Martin Aurelio, 1997, Ardeola, V44, P61 Martin Aurelio, 1996, Bird Conservation International, V6, P229 MARTIN JL, 2001, NATURALEZA ISLAS CAN, P423 Martinez-Fernandez J, 2013, ECOL MODEL, V248, P11, DOI 10.1016/j.ecolmodel.2012.09.018 Martinez-Moyano IJ, 2013, SYST DYNAM REV, V29, P102, DOI 10.1002/sdr.1495 McShane TO, 2011, BIOL CONSERV, V144, P966, DOI 10.1016/j.biocon.2010.04.038 Oliva R, 2003, EUR J OPER RES, V151, P552, DOI 10.1016/S0377-2217(02)00622-7 Otto R, 2007, J ARID ENVIRON, V70, P527, DOI 10.1016/j.jaridenv.2007.02.001 Ouren D. S., 2007, 20071353 US GEOL SUR Palacios CJ, 2003, QUERCUS, V209, P14 Palomino D, 2008, J ARID ENVIRON, V72, P401, DOI 10.1016/j.jaridenv.2007.07.007 Palomino D, 2008, QUERCUS, V273, P22 Palomino D, 2007, LANDSCAPE URBAN PLAN, V83, P268, DOI 10.1016/j.landurbplan.2007.04.011 Pavel V, 2004, FOLIA ZOOL, V53, P171 Perez I, 2012, ECOL MODEL, V245, P19, DOI 10.1016/j.ecolmodel.2012.03.016 Perez-Garcia JM, 2014, EUR J WILDLIFE RES, V60, P875, DOI 10.1007/s10344-014-0854-8 Rasmussen LV, 2012, AGR SYST, V107, P56, DOI 10.1016/j.agsy.2011.12.002 Rodriguez AR, 2005, CATENA, V59, P117, DOI 10.1016/j.catena.2004.07.002 Santana-Jimenez Y, 2011, TOURISM MANAGE, V32, P415, DOI 10.1016/j.tourman.2010.03.013 Sastre P, 2009, EUR J WILDLIFE RES, V55, P425, DOI 10.1007/s10344-009-0254-7 SAUNDERS DA, 1991, CONSERV BIOL, V5, P18, DOI 10.1111/j.1523-1739.1991.tb00384.x Schuster C, 2012, ANIM BIODIV CONSERV, V35, P125 Seddon PJ, 1996, BIOL CONSERV, V75, P139, DOI 10.1016/0006-3207(95)00062-3 Seoane J, 2011, J NAT CONSERV, V19, P103, DOI 10.1016/j.jnc.2010.07.002 Seoane J, 2010, ARDEOLA, V57, P387 Seoane J, 2010, BIRD CONSERV INT, V20, P161, DOI 10.1017/S0959270909990207 Silva JP, 2010, ECOL MODEL, V221, P1954, DOI 10.1016/j.ecolmodel.2010.03.027 Thompson ID, 2014, BIODIVERS CONSERV, V23, P2613, DOI 10.1007/s10531-014-0736-0 Voinov A, 2013, ENVIRON MODELL SOFTW, V39, P149, DOI 10.1016/j.envsoft.2012.05.014 Young J, 2005, BIODIVERS CONSERV, V14, P1641, DOI 10.1007/s10531-004-0536-z Zhao R, 2015, ECOL INDIC, V51, P98, DOI 10.1016/j.ecolind.2014.08.030 Zuberogoitia I, 2014, ANIM CONSERV, V17, P410, DOI 10.1111/acv.12107 NR 62 TC 3 Z9 3 U1 0 U2 17 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 1612-4642 EI 1439-0574 J9 EUR J WILDLIFE RES JI Eur. J. Wildl. Res. PD JUN PY 2016 VL 62 IS 3 BP 263 EP 275 DI 10.1007/s10344-016-0997-x PG 13 WC Ecology; Zoology SC Environmental Sciences & Ecology; Zoology GA DM8DZ UT WOS:000376592300002 DA 2019-04-09 ER PT J AU Hart, AK McMichael, P Milder, JC Scherr, SJ AF Hart, Abigail K. McMichael, Philip Milder, Jeffrey C. Scherr, Sara J. TI Multi-functional landscapes from the grassroots ? The role of rural producer movements SO AGRICULTURE AND HUMAN VALUES LA English DT Article DE Agriculture; Agroecology; Diversified farming systems; Farmer organization; Landscape; Multi-functional; Producer movements; Integrated landscape management ID AFRICAN AGRICULTURE; FOOD SOVEREIGNTY; SOCIAL-MOVEMENTS; AGRARIAN-REFORM; TRADE-OFFS; CONSERVATION; REGION; BRAZIL; SUSTAINABILITY; CAMPESINA AB Around the world, agricultural landscapes are increasingly seen as "multi-functional" spaces, expected to deliver food supplies while improving rural livelihoods and protecting and restoring healthy ecosystems. To support this array of functions and benefits, governments and civil society in many regions are now promoting integrated farm- and landscape-scale management strategies, in lieu of fragmented management strategies. While rural producers are fundamental to achieving multi-functional landscapes, they are frequently viewed as targets of, or barriers to, landscape-oriented initiatives, rather than as leading agents of change. In reality, however, rural producers in many areas have embraced elements of multi-functional land management. In this paper, we explore the role and recent evolution of producer movements in influencing multi-functional farm and landscape management. We explore these roles through six case studies, including a land reform movement in Brazil, indigenous territorial development in Bolivia, conservation agriculture associations in Canada, environmental cooperatives in the Netherlands, indigenous and biocultural heritage associations in Peru, and Landcare groups in the Philippines. These experiences suggest that producer movements are playing pivotal roles in supporting landscape multi-functionality, not only through agroecological farming practices but also through off-farm efforts to conserve ecosystems and support multi-stakeholder landscape planning. On the other hand, interests of producer movements are not always fully aligned with multi-functional landscape management approaches. The contribution of producer movements to multi-functional landscapes depends on these movements including farm and landscape stewardship in their values and goals, and having the political support and capacity to engage meaningfully in multi-stakeholder processes. C1 [Hart, Abigail K.; Milder, Jeffrey C.] Cornell Univ, Dept Nat Resources, Fernow Hall, Ithaca, NY 14853 USA. [Hart, Abigail K.; Scherr, Sara J.] EcoAgr Partners, 1100 17th St NW,Suite 600, Washington, DC 20036 USA. [McMichael, Philip] Cornell Univ, Dept Dev Sociol, Ithaca, NY 14853 USA. RP Hart, AK (reprint author), Cornell Univ, Dept Nat Resources, Fernow Hall, Ithaca, NY 14853 USA.; Hart, AK (reprint author), EcoAgr Partners, 1100 17th St NW,Suite 600, Washington, DC 20036 USA. EM akh67@cornell.edu; pdm1@cornell.edu; jmilder@ra.org; sscherr@ecoagriculture.org FU Global Environment Facility; United Nations Environment Programme FX We thank KC Alvey for her excellent research assistance. We also thank David King, Claire Rhodes and Robin Marsh for their helpful input on the manuscript. We gratefully acknowledge financial support from the Global Environment Facility and the United Nations Environment Programme. This study is a contribution of the Landscapes for People, Food and Nature Initiative (http://landscapes.ecoagriculture.org). CR Alter Eco, 2013, ALT EC ANAPQUI PARTN Altieri M. A., 1995, AGROECOLOGY SCI SUST Altieri MA, 2011, J PEASANT STUD, V38, P587, DOI 10.1080/03066150.2011.582947 Argumedo A., 2008, PROTECTED LANDSCAPES, V1 Aroni G., 2008, REV HABITAT, V75, P50 Ashoka, 2002, ASH INN PUBL Association of Communities of Potato Park, 2012, SOM CINC PER SOM PRI Ayaviri G.S., 2003, HIST NUESTRA ORG AS Barr J., 2009, RAPID ASSESSMENT CAS Benford RD, 2000, ANNU REV SOCIOL, V26, P611, DOI 10.1146/annurev.soc.26.1.611 Borras SM, 2008, J AGRAR CHANGE, V8, P258, DOI 10.1111/j.1471-0366.2008.00170.x Brandt J., 2004, MULTIFUNCTIONAL LAND, V1, P3 Brett JA, 2010, FOOD FOODWAYS, V18, P28, DOI 10.1080/07409711003708249 CABOLQUI, 2009, CPTS DES AGR QUIN AL Caceres Z., 2007, 11 FAIR TRADE QUINOA Campesina La Via, 2010, SUST PEAS FAM FARM A Catacutan D., 2010, SCALING LANDCARE PHI Cossio J., 2008, REV HABITAT, V7, P44 Cramb RA, 2006, LAND DEGRAD DEV, V17, P23, DOI 10.1002/ldr.691 Cullen L, 2005, CONSERV BIOL, V19, P747, DOI 10.1111/j.1523-1739.2005.00700.x Curtis A, 1998, ENVIRON VALUE, V7, P59, DOI 10.3197/096327198129341474 Dano M.N., 2009, LANDCARE LOCAL ACTIO, P64 de Jonge B., 2008, LIFE SCI SOC POLICY, V4, P10 de Rooij S., 2006, COMPAS SERIES WORLDW, V4, P237 Develtere P., 2008, COOPERATING OUT POVE El Diario, 2012, EL DIARIO Martinez-Torres ME, 2010, J PEASANT STUD, V37, P149, DOI 10.1080/03066150903498804 Espaldon M.V., 2006, PHILIPPINE LANDCARE Estrada-Carmona N., 2014, LANDSCAPE URBAN PLAN, V12, P1 FOWERAKER Joe, 1995, THEORIZING SOCIAL MO Fox TA, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/1/014008 Fry GLA, 2001, LANDSCAPE URBAN PLAN, V57, P159, DOI 10.1016/S0169-2046(01)00201-8 FUJISAKA S, 1994, AGROFOREST SYST, V25, P13, DOI 10.1007/BF00705703 Fulton F., 2010, LANDSCAPES TRANSFORM Gliessman S.R., 1998, AGROECOLOGY ECOLOGIC Government of Saskatchewan, 2014, GROW FORW 2 FARM STE Groot JCJ, 2007, AGR ECOSYST ENVIRON, V120, P58, DOI 10.1016/j.agee.2006.03.037 Hellin J, 2005, DEV PRACT, V15, P165, DOI 10.1080/09614520500041344 Holt-Glmenez E, 2009, MON REV, V61, P142, DOI 10.14452/MR-061-03-2009-07_11 IAASTD, 2009, INT ASS AGR KNOWL SC Ichikawa K., 2012, AGROFORESTRY FUTURE, P341 IFOAM, 2012, IFOAM NORMS ORG PROD Janzen HH, 2001, CAN J SOIL SCI, V81, P489, DOI 10.4141/S00-054 Joffre R, 2008, HABITAT, V75, P38 Karriem A, 2012, GRAMSCI SPACE NATURE, P142 Kay C., 1998, LAND REFORM, V2, P9 Koohafkan P., 2011, GLOBALLY IMPORTANT A Kothari Ashish, 2008, Biodiversity (Ottawa), V9, P19 Kremen C, 2012, ECOL SOC, V17, DOI 10.5751/ES-05035-170440 Lafond G. P., 2014, Conservation agriculture: global prospects and challenges, P89, DOI 10.1079/9781780642598.0089 Lafond G, 2009, SOIL TILL RES, V104, P150, DOI 10.1016/j.still.2008.08.014 Larson A., 2010, FORESTS PEOPLE COMMU Lasco R, 2008, ADV AGROFOR, V5, P379 Liberman M., 2008, REV HABITAT, V75, P18 LPFN, 2014, INT LANDSC MAN AFR S Martinelli LA, 2010, CURR OPIN ENV SUST, V2, P431, DOI 10.1016/j.cosust.2010.09.008 McClinton B., 2010, LANDSCAPES TRANSFORM McMichael P, 2006, CAN J DEV STUD, V27, P471, DOI 10.1080/02255189.2006.9669169 Mercado Jr A.R., 2001, DEV PRACTICE, V11, P495 Milder JC, 2014, WORLD DEV, V54, P68, DOI 10.1016/j.worlddev.2013.07.006 Mooney PH, 2004, RURAL SOCIOL, V69, P76, DOI 10.1526/003601104322919919 Nelson RA, 1998, J ENVIRON MANAGE, V54, P83, DOI 10.1006/jema.1998.0220 NFW, 2012, PLAATS ROL THEM BINN Perfecto Ivette, 2009, NATURES MATRIX LINKI Pimbert M., 2005, TRADITIONAL RESOURCE Pimbert M.P., 2008, PROTECTING FARMERS R Pimbert M. P., 2008, FOOD SOVEREIGNTY REC Pretty JN, 2006, ENVIRON SCI TECHNOL, V40, P1114, DOI 10.1021/es051670d Pretty J, 2011, INT J AGR SUSTAIN, V9, P5, DOI 10.3763/ijas.2010.0583 Primdahl J, 2011, GEOGR TIDSSKR-DEN, V111, P107, DOI 10.1080/00167223.2011.10669527 Ramos Santalla N., 2000, QUINUA GRANO ORO INC Renting H., 2001, J ENVIRON POL PLAN, V3, P85, DOI DOI 10.1002/JEPP.75 Reynolds J.F., 2008, REV HABITAT, V75, P10 Rigby D, 2001, AGR SYST, V68, P21, DOI 10.1016/S0308-521X(00)00060-3 Rodrigues Elisangela Ronconi, 2007, Rev. Árvore, V31, P941, DOI 10.1590/S0100-67622007000500018 Roling N. G., 2000, FACILITATING SUSTAIN Scherr S.J., 2012, LANDSCAPES PEOPLE FO Selman P., 2009, Sustainability: Science, Practice & Policy, V5, P45 Snow D. A., 2007, BLACKWELL COMPANION Snow D. A, 1992, FRONTIERS SOCIAL MOV Snow David A., 2004, BLACKWELL COMPANION SSCA, 2012, BACKGR INF SASK SOIL Swiderska K., 2009, PROTECTING TRADITION TARROW S, 1992, FRONTIERS SOCIAL MOV TUMA ELIAS H., 1965, 26 CENTURIES AGRARIA UNDESA, 2012, MILL DEV GOALS REP 2 VALLADARES-PADUA C., 2002, ENVIRON SCI POLICY, V5, P69 van Apeldoorn DF, 2011, ECOL SOC, V16 Van der Ploeg J. D., 2009, NEW PEASANTRIES STRU Ward B., 2010, LANDSCAPES TRANSFORM, P15 Wezel A, 2011, SUSTAINABLE AGRICULTURE, VOL 2, P27, DOI 10.1007/978-94-007-0394-0_3 Winkel T, 2012, J AGRON CROP SCI, V198, P314, DOI 10.1111/j.1439-037X.2012.00506.x Wiskerke JSC, 2003, NJAS-WAGEN J LIFE SC, V51, P9, DOI 10.1016/S1573-5214(03)80024-6 Wittman H, 2010, CAN J DEV STUD, V29, P281, DOI 10.1080/02255189.2010.9669259 Wong B. Y. L., 2010, SUSTAINABLE USE BIOL, V52, P84 Zhang WF, 2013, P NATL ACAD SCI USA, V110, P8375, DOI 10.1073/pnas.1210447110 NR 96 TC 12 Z9 12 U1 4 U2 48 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0889-048X EI 1572-8366 J9 AGR HUM VALUES JI Agric. Human Values PD JUN PY 2016 VL 33 IS 2 BP 305 EP 322 DI 10.1007/s10460-015-9611-1 PG 18 WC Agriculture, Multidisciplinary; History & Philosophy Of Science; Sociology SC Agriculture; History & Philosophy of Science; Sociology GA DL5WE UT WOS:000375706900006 DA 2019-04-09 ER PT J AU Boos, A Holm-Muller, K AF Boos, Adrian Holm-Mueller, Karin TI The Zambian Resource Curse and its influence on Genuine Savings as an indicator for "weak" sustainable development SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY LA English DT Article DE Zambia; Resource Curse; Genuine Savings; Weak sustainability; Natural capital; Sustainable development ID NATURAL-RESOURCES; DUTCH DISEASE; BOOMING SECTOR; PARTY SYSTEM; GROWTH; INSTITUTIONS; VOLATILITY; TRADE; EDUCATION; POLITICS AB The empirical evidence that economies predominantly reliant on their natural resources are characterized by slower economic growth-the so-called Resource Curse (RC)-is in many ways confirmed by the case of Zambia. Haber and Menaldo (Am Polit Sci Rev 105(1):1-26, 2011) identify Zambia's extreme dependence on copper exports as one of the worldwide most striking examples for a country suffering from this "curse." In topical literature, the RC is traced back to the generation of natural resource rents regardless of economic performance, which among other problems leads to suboptimal reinvestment. The World Banks indicator for the "weak" sustainable development of a country-the so-called Genuine Savings (GS)-considers exactly this reinvestment of rents from the depletion of natural capital rents into physical or human capital. Although it has been shown empirically that countries dependent on primary exports on average feature negative GS rates and that the determinants of the RC influence both present economic growth and future sustainability as measured by GS, no case studies have been conducted to confirm this. Against this background, we qualitatively survey the relationship between the most discussed determinants causing the RC in Zambia and the country's GS rate. We show that all theoretical relationships between the GS rates of a country and RC determinants such as consumption behavior, volatile world market prices, the so-called Dutch disease as well as political and institutional structures apply to Zambia between 1964 and 2010: an extreme dependency on copper exports and insufficient reinvestments of income from the depletion of Zambia's natural capital constitutes one of the main reasons for slow growth and negative GS until the copper price booms in the second half of the 2000s. C1 [Boos, Adrian; Holm-Mueller, Karin] Univ Bonn, Inst Food & Resource Econ, Resource & Environm Econ, Nussallee 21, D-53115 Bonn, Germany. RP Boos, A (reprint author), Univ Bonn, Inst Food & Resource Econ, Resource & Environm Econ, Nussallee 21, D-53115 Bonn, Germany. EM adrian.boos@ilr.uni-bonn.de CR Abdi AA, 2005, INT EDUC J, V6, P454 Acemoglu D, 2002, Q J ECON, V117, P1231, DOI 10.1162/003355302320935025 Anderson P. A., 1989, MINERAL DEPENDENCE G [Anonymous], 1977, ECONOMIST, P82 Anti-Corruption Resource Centre, 2008, OV CORR ZAMB U4 EXP Arnold J, 2007, SERVICES TRADE AND DEVELOPMENT: THE EXPERIENCE OF ZAMBIA, P101 Atkinson G, 2003, WORLD DEV, V31, P1793, DOI 10.1016/j.worlddev.2003.05.001 Atkinson G, 2007, ENVIRON RESOUR ECON, V37, P43, DOI 10.1007/s10640-007-9114-7 Auty R. M., 2001, RESOURCE ABUNDANCE E Auty R. M., 2008, 282008 WP REAL I ELC Auty RM, 2007, HANDBOOK OF SUSTAINABLE DEVELOPMENT, P207 Auty Richard M., 1993, SUSTAINING DEV MINER Baird S, 2011, REV ECON STAT, V93, P847, DOI 10.1162/REST_a_00084 Baldwin K, 2013, AM J POLIT SCI, V57, P794, DOI 10.1111/ajps.12023 Barbier E.B., 2007, NATURAL RESOURCES EC Barbier Edward, 2011, SCARCITY FRONTIERS E Barro R. J, 2004, EC GROWTH Barro R. J., 1996, J ECON GROWTH, V1, P1, DOI DOI 10.1007/BF00163340 Bauer G., 2005, POLITICS SO AFRICA S Baylies C., 1992, REV AFRICAN POLITICA, V54, P75, DOI DOI 10.1080/03056249208703954 Blattman C, 2007, J DEV ECON, V82, P156, DOI 10.1016/j.jdeveco.2005.09.003 Bolt K., 2002, MANUAL CALCULATING A Bonnick G. G., 1997, ZAMBIAN COUNTRY ASSI Boos A., 2013, Journal of Sustainable Development, V6, P59 Boos A, 2015, SUSTAINABILITY-BASEL, V7, P4146, DOI 10.3390/su7044146 Boos A, 2012, NAT RESOUR FORUM, V36, P145, DOI 10.1111/j.1477-8947.2012.01456.x Bova E, 2012, J DEV STUD, V48, P768, DOI 10.1080/00220388.2011.649258 Bratton M, 1999, WORLD DEV, V27, P807, DOI 10.1016/S0305-750X(99)00031-5 Bratton M, 2007, J DEMOCR, V18, P96, DOI 10.1353/jod.2007.0041 Brautigam D., 2011, DRAGONS GIFT REAL ST BRUNO M, 1982, REV ECON STUD, V49, P845, DOI 10.2307/2297191 Bulte E., 2008, BE J ECON ANAL POLI, V8, P1682 Burnell P, 2002, THIRD WORLD Q, V23, P1103, DOI 10.1080/0143659022000036630 Burnell P, 2001, AFR AFFAIRS, V100, P239, DOI 10.1093/afraf/100.399.239 Cali M., 2007, 279 OV DEV I Callaghy Thomas M., 1990, EC CRISIS POLICY CHO, P257 CORDEN WM, 1984, OXFORD ECON PAP, V36, P359, DOI 10.1093/oxfordjournals.oep.a041643 CORDEN WM, 1982, ECON J, V92, P825, DOI 10.2307/2232670 Dasgupta P, 2004, HUMAN WELL BEING NAT DAVIS GA, 1995, WORLD DEV, V23, P1765, DOI 10.1016/0305-750X(95)00071-J Diamond Larry, 1994, J DEMOCR, V5, P4, DOI DOI 10.1353/JOD.1994.0041 Dietz S, 2007, ENVIRON DEV ECON, V12, P33, DOI 10.1017/S1355770X06003378 Doppelhofer G., 2000, NBER W7750, Vw7750 Easterly W, 2003, J MONETARY ECON, V50, P3, DOI 10.1016/S0304-3932(02)00200-3 Encyclopedia of the Nations, 2012, REP ZAMB Evans P, 1999, AM SOCIOL REV, V64, P748, DOI 10.2307/2657374 FANKHAUSER S, 1994, ENERGY J, V15, P157 Fessehaie J, 2012, RESOUR POLICY, V37, P443, DOI 10.1016/j.resourpol.2012.06.003 Fox J. W., 2001, ZAMBIA CAN ACHIEVE E Frankel Jeffrey, 2012, RESOURCE CURSE Freedom House, 2011, FREED WORLD 2011 ZAM Freedom House, 2007, FREED WORLD 2007 ZAM Freedom House, 2012, FREED WORLD 2012 ZAM Gelb A., 1988, OIL WINDFALLS BLESSI Griffiths W. E., 2008, USING EVIEWS PRINCIP Gylfason T, 2001, EUR ECON REV, V45, P847, DOI 10.1016/S0014-2921(01)00127-1 Gylfason T, 2000, KYKLOS, V53, P545, DOI 10.1111/1467-6435.00133 Gylfason T, 2001, SCOT J POLIT ECON, V48, P558, DOI 10.1111/1467-9485.00215 Gylfason T., 1999, MACROECON DYN, V3, P1091 Gylfason T., 2006, EC LIBERALIZATION IN, P201 Haber S, 2011, AM POLIT SCI REV, V105, P1, DOI 10.1017/S0003055410000584 Hamilton K, 2006, WEALTH, WELFARE AND SUSTAINABILITY: ADVANCES IN MEASURING SUSTAINABLE DEVELOPMENT, P1 HAMILTON K, 1994, RESOUR POLICY, V20, P155, DOI 10.1016/0301-4207(94)90048-5 Hamilton K, 1999, WORLD BANK ECON REV, V13, P333, DOI 10.1093/wber/13.2.333 Hamilton K., 1996, ENVIRON DEV ECON, V1, P85 HARTWICK JM, 1977, AM ECON REV, V67, P972 Hausmann R, 2003, FISCAL POLICY FORMULATION AND IMPLEMENTATION IN OIL-PRODUCING COUNTRIES, P13 Heo U, 2001, COMP POLIT, V33, P463, DOI 10.2307/422444 Heritage Foundation, 2015, 2015 INDEX EC FREEDO Hill C. B., 2004, PROMOTING SUSTAINING Holmes T., 2008, ZAMBIA CULTURES WORL Humphreys M., 2007, ESCAPING RESOURCE CU International Monetary Fund (IMF), 1999, ZAMB ENH STRUCT ADJ Jamali K, 2007, APPL ECON, V39, P1425, DOI 10.1080/00036840500447906 Kayizzi-Mugerwa S., 1990, DEV POLICY REV, V8, P59 Keefer P, 2008, J LAW ECON ORGAN, V24, P371, DOI 10.1093/jleo/ewm054 Keefer P, 2007, AM J POLIT SCI, V51, P804, DOI 10.1111/j.1540-5907.2007.00282.x Kelly S., 2008, COUNTRIES CROSSROADS Kolstad I, 2009, RESOUR POLICY, V34, P214, DOI 10.1016/j.resourpol.2009.05.001 Koren M, 2007, Q J ECON, V122, P243, DOI 10.1162/qjec.122.1.243 KRUGMAN P, 1987, J DEV ECON, V27, P41, DOI 10.1016/0304-3878(87)90005-8 Larmer M, 2011, EMPIRE MAKING MOD, P1 Lederman D, 2007, LATIN AMER DEVELOP, P1, DOI 10.1596/978-0-8213-6545-8 Leiderer S, 2011, ECAS 2011 4 EUR C AF Levy B, 2012, SHADOW VIOLENCE POLI, P112 Loxley J, 1990, REV AFRICAN POLITICA, V17, P8, DOI DOI 10.1080/03056249008703845 Lungu J, 2008, REV AFRICAN POLITICA, V35, P403, DOI DOI 10.1080/03056240802411032 Marshall Monty G., 2011, GLOBAL REPORT 2011 C Martinez JD, 2007, SERVICES TRADE AND DEVELOPMENT: THE EXPERIENCE OF ZAMBIA, P155 Mattoo A, 2007, SERVICES TRADE AND DEVELOPMENT: THE EXPERIENCE OF ZAMBIA, P1 McPherson M. F., 1993, POTENTIAL SOURCES GR McPherson M, 2004, PROCEEDINGS OF THE 3RD EUROPEAN CONFERENCE ON RESEARCH METHODS IN BUSINESS AND MANAGEMENT, P263 Mcshane K., 2010, DETERMINANTS CORRUPT, V206 Mehlum H, 2006, ECON J, V116, P1, DOI 10.1111/j.1468-0297.2006.01045.x Mikesell R. F., 1988, GLOBAL COPPER IND PR Momba JC, 2007, S AFR J INT AFF, V14, P115, DOI 10.1080/10220460709545486 Mwenda K. K., 2007, LEGAL ASPECTS COMBAT Ndulo M. K., 2013, INJUNCTIVE RELIEF RE Neumayer E, 2004, WORLD DEV, V32, P1627, DOI 10.1016/j.worlddev.2004.05.005 Neumayer Eric., 2010, WEAK VERSUS STRONG S Norad (Norwegian Agency for Development Cooperation), 2011, 62011 NOARD NORW AG Norman CS, 2009, ENVIRON RESOUR ECON, V43, P183, DOI 10.1007/s10640-008-9231-y NURKSE R, 1958, KYKLOS, V11, P141, DOI 10.1111/j.1467-6435.1958.tb02361.x O'Sullivan A., 2007, EC PRINCIPLES ACTION Oto-Peralias D, 2013, KYKLOS, V66, P229, DOI 10.1111/kykl.12019 Papyrakis E, 2004, J COMP ECON, V32, P181, DOI 10.1016/j.jce.2003.11.002 Papyrakis E., 2006, POVERTY REDUCTION EN Pearce W., 1993, ECOL ECON, V8, P103, DOI DOI 10.1016/0921-8009(93)90039-9 Polity IV., 2010, POLITY 4 COUNTRY REP Polity IV, 2014, POLITY 4 PROJECT POL Prebisch Raul, 1950, EC DEV LATIN AM ITS Puddington A., 2013, FREEDOM WORLD 2013 D Rakner L, 2004, PARTY POLIT, V10, P49, DOI 10.1177/1354068804041316 Rakner L., 2003, POLITICAL EC LIBERAL Ramey G, 1995, AM ECON REV, V85, P1138 Robinson JA, 2006, J DEV ECON, V79, P447, DOI 10.1016/j.jdeveco.2006.01.008 Rodrik D, 2004, J ECON GROWTH, V9, P131, DOI 10.1023/B:JOEG.0000031425.72248.85 Ross ML, 1999, WORLD POLIT, V51, P297 Rosser A., 2006, POLITICAL EC RES CUR Saasa O. S., 1996, 35 U ZAMB Sachs JD, 2001, EUR ECON REV, V45, P827, DOI 10.1016/S0014-2921(01)00125-8 Sachs JD, 1995, NBER WORKING PAPER S SalaIMartin XX, 1997, AM ECON REV, V87, P178 Seddon D., 2005, POLITICAL EC DICT AF Shafer M. D., 1994, WINNERS LOSERS SECTO Simutanyi N, 1996, THIRD WORLD Q, V17, P825 Singer HW, 1950, AM ECON REV, V40, P473 Soysa I., 2010, GLOBAL ENVIRON CHANG, P262 Szeftel M, 2000, J CONT AFRICAN STUDI, V18, P207 Taylor SD, 2006, CULTURE CUSTOMS ZAMB The Political Risk Group, 2013, INT COUNTRY RISK GUI The World Bank, 2014, GLOB EC MON GEM COMM Tordoff W., 1974, POLITICS ZAMBIA Transparency International, 2012, CORR PERC IND 2011 van der Ploeg F, 2011, J ECON LIT, V49, P366, DOI 10.1257/jel.49.2.366 van der Ploeg F, 2010, RESOUR ENERGY ECON, V32, P28, DOI 10.1016/j.reseneeco.2009.07.002 van der Ploeg F, 2009, OXFORD ECON PAP, V61, P727, DOI 10.1093/oep/gpp027 Weeks J., 2008, REDUCTION FISCAL SPA White H., 1994, WORKING PAPER World Bank, 2011, ENVIRON DEV, P1, DOI 10.1596/978-0-8213-8488-6 World Bank, 2014, WORLD DEV IND 2014 W World Bank, 2011, ZAMB WHAT WOULD TAK World Bank, 2013, WORLDW GOV IND *WORLD BANK, 2006, WEALTH NAT MEAS CAP Zanias GP, 2005, J DEV ECON, V78, P49, DOI 10.1016/j.jdeveco.2004.08.005 NR 145 TC 1 Z9 1 U1 1 U2 18 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 1387-585X EI 1573-2975 J9 ENVIRON DEV SUSTAIN JI Environ. Dev. Sustain. PD JUN PY 2016 VL 18 IS 3 BP 881 EP 919 DI 10.1007/s10668-015-9667-5 PG 39 WC Green & Sustainable Science & Technology; Environmental Sciences SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DL4PR UT WOS:000375620200014 DA 2019-04-09 ER PT J AU Qiao, YH Halberg, N Vaheesan, S Scott, S AF Qiao, Yuhui Halberg, Niels Vaheesan, Saminathan Scott, Steffanie TI Assessing the social and economic benefits of organic and fair trade tea production for small-scale farmers in Asia: a comparative case study of China and Sri Lanka SO RENEWABLE AGRICULTURE AND FOOD SYSTEMS LA English DT Article DE Tea production; organic farming; fair trade; livelihoods; small-scale farmers; Asia ID SUSTAINABILITY; CERTIFICATION; SYSTEMS; NICARAGUA; MEXICO AB Organic agriculture has the potential to provide improved livelihood opportunities, increased income and social benefits for resource-poor small-scale farmers. It has thus become a popular strategy for economic development and poverty reduction in many areas of the global south. However, there has been limited empirical research regarding the actual benefits of certified organic production, particularly when organic is combined with fair trade certification, and for small-scale farmers who are not engaged in coffee or banana production. Further research is needed to demonstrate experiences of farmers under diverse socioeconomic conditions, organizational contexts and degrees of market access. To address these gaps, two surveys of certified organic and fair trade tea producers in China and Sri Lanka were undertaken to investigate the contributions of organic crops to the household economy. In both cases, organic production required lower investment in terms of external inputs but a higher input of farmers' labor. The price premium received by farmers for the organic tea compensated for the extra labor input and lower yield, resulting in a net profit. However, given the relatively small plots of tea gardens of each household, organic production could not fully provide for the households' livelihood. Non-farm income dominated the total income of the households across the study cases, despite the earnings from organic farming. In both sites, market-oriented organic tea projects have created more options for paid work locally, which benefits women of reproductive age. Social benefits of organic farming were also reported. Pursuing fair trade certification on top of organic production facilitated farmer organizing, training and community development. Organic agriculture and fair trade certification offer important prospects to improve the livelihoods of small-scale farmers in other, less favored areas of Asia. These forms of certified production could provide economic and social benefits in instances where farm income is the main source of household income. C1 [Qiao, Yuhui] China Agr Univ, Coll Resources & Environm Sci, Beijing Key Lab Biodivers & Organ Farming, Beijing 100193, Peoples R China. [Halberg, Niels] ICROFS, DK-8830 Tjele, Denmark. [Vaheesan, Saminathan] Helvetas Sri Lanka, Nugegoda, Sri Lanka. [Scott, Steffanie] Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada. RP Qiao, YH (reprint author), China Agr Univ, Coll Resources & Environm Sci, Beijing Key Lab Biodivers & Organ Farming, Beijing 100193, Peoples R China. EM qiaoyh@cau.edu.cn RI Scott, Steffanie/I-6431-2013 OI Scott, Steffanie/0000-0002-4754-246X FU National Planning Office of Philosophy and Social Science [11AZD095]; National Key Technology R&D Program in the 12th Five-Year Plan of China [2014BAK19B00] FX This work was supported by the National Planning Office of Philosophy and Social Science 'Research on agriculture production service system for environment protection and food safety' (Grant no. 11AZD095), the National Key Technology R&D Program in the 12th Five-Year Plan of China (Grant no. 2014BAK19B00). We would like to thank the two anonymous reviewers for their constructive feedback. Any errors remain our own responsibility. CR Bacon C, 2005, WORLD DEV, V33, P497, DOI 10.1016/j.worlddev.2004.10.002 Bakewell S., 2008, INT J AGR SUSTAIN, V6, P22, DOI [10.3763/ijas.2007.0266, DOI 10.3763/IJAS.2007.0266] Blackman A, 2011, CONSERV BIOL, V25, P1176, DOI 10.1111/j.1523-1739.2011.01774.x Blackmore E., 2012, PROPOOR CERTIFICATIO Bolwig S, 2009, WORLD DEV, V37, P1094, DOI 10.1016/j.worlddev.2008.09.012 Caliendo M., 2005, 485 GERM I EC RES Chen A., 2014, J AGR FOOD SYSTEMS C CNCA, 2014, CHIN ORG IND DEV REP Doll J. P., 1984, PRODUCTION EC THEORY Eyhorn F., 2007, International Journal of Agricultural Sustainability, V5, P25 Frank E., 2007, INT J AGR SUSTAIN, V5, P25 Halberg N., 2012, ORGANIC AGR SUSTAINA Halberg N., 2006, IMPACT ORGANIC FARMI, P277 Halberg Niels, 2006, GLOBAL DEV ORGANIC A IFAD (International Fund for Agricultural Development), 2005, 1664 IFAD IFOAM, 2012, IFOAM STAND ORG PROD Kilcher L, 2007, WORLD ORGANIC AGR ST, P82 Mendez VE, 2010, RENEW AGR FOOD SYST, V25, P236, DOI 10.1017/S1742170510000268 Mendoza TC, 2004, J SUSTAIN AGR, V24, P93, DOI 10.1300/J064v24n02_09 Neilson J, 2008, WORLD DEV, V36, P1607, DOI 10.1016/j.worlddev.2007.09.005 Nemes N, 2009, COMP ANAL ORGANIC NO Panneerselvam P, 2015, RENEW AGR FOOD SYST, V30, P252, DOI 10.1017/S1742170513000501 Panneerselvam P, 2011, J SUSTAIN AGR, V35, P48, DOI 10.1080/10440046.2011.530506 Parrott N., 2006, Global development of organic agriculture: challenges and prospects, P153, DOI 10.1079/9781845930783.0153 Rasul G, 2004, AGR SYST, V79, P327, DOI 10.1016/S0308-521X(03)00090-8 Raynolds LT, 2007, AGR HUM VALUES, V24, P147, DOI 10.1007/s10460-006-9047-8 Rote Ronald, 1986, TASTE BITTERNESS POL Santacoloma P., 2007, ORGANIC CERTIFICATIO Schlatter B., 2014, WORLD ORGANIC AGR ST Setboonsarng S., 2008, P 2 SCI C INT SOC OR, P488 Tovar LG, 2005, J RURAL STUD, V21, P461, DOI 10.1016/j.jrurstud.2005.10.002 Valkila J, 2009, ECOL ECON, V68, P3018, DOI 10.1016/j.ecolecon.2009.07.002 World Bank, 2003, REACH RUR POOR REN S NR 33 TC 4 Z9 4 U1 7 U2 71 PU CAMBRIDGE UNIV PRESS PI CAMBRIDGE PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND SN 1742-1705 EI 1742-1713 J9 RENEW AGR FOOD SYST JI Renew. Agr. Food Syst. PD JUN PY 2016 VL 31 IS 3 BP 246 EP 257 DI 10.1017/S1742170515000162 PG 12 WC Agriculture, Multidisciplinary SC Agriculture GA DL8CJ UT WOS:000375866700006 DA 2019-04-09 ER PT J AU Atilgan, B Azapagic, A AF Atilgan, Burcin Azapagic, Adisa TI An integrated life cycle sustainability assessment of electricity generation in Turkey SO ENERGY POLICY LA English DT Article DE Electricity generation; Economic costing; Life cycle assessment; Social assessment; Sustainability assessment; Turkey ID MULTICRITERIA DECISION-ANALYSIS; SUPPORT FRAMEWORK; ENERGY; TECHNOLOGIES; INDICATORS; SYSTEMS; FUTURE; UK AB This paper presents for the first time an integrated life cycle sustainability assessment of the electricity sector in Turkey, considering environmental, economic and social aspects. Twenty life cycle sustainability indicators (11 environmental, three economic and six social) are used to evaluate the current electricity options. Geothermal power is the best option for six environmental impacts but it has the highest capital costs. Small reservoir and run-of-river power has the lowest global warming potential while large reservoir is best for the depletion of elements and fossil resources, and acidification. It also has the lowest levelised costs, worker injuries and fatalities but provides the lowest life cycle employment opportunities. Gas power has the lowest capital costs but it provides the lowest direct employment and has the highest levelised costs and ozone layer depletion. Given these trade-offs, a multi-criteria decision analysis has been carried out to identify the most sustainable options assuming different stakeholder preferences. For all the preferences considered, hydropower is the most sustainable option for Turkey, followed by geothermal and wind electricity. This work demonstrates the importance for energy policy of an integrated life cycle sustainability assessment and how tensions between different aspects can be reconciled to identify win-win solutions. (C) 2016 The Authors. Published by Elsevier Ltd. C1 [Atilgan, Burcin; Azapagic, Adisa] Univ Manchester, Sch Chem Engn & Analyt Sci, Room C16,Sackville St, Manchester M13 9PL, Lancs, England. RP Azapagic, A (reprint author), Univ Manchester, Sch Chem Engn & Analyt Sci, Room C16,Sackville St, Manchester M13 9PL, Lancs, England. EM adisa.azapagic@manchester.ac.uk FU Republic of Turkey Ministry of National Education; UK Engineering and Physical Sciences Research Council, EPSRC [EP/K011820/1] FX This work was funded by the Republic of Turkey Ministry of National Education and the UK Engineering and Physical Sciences Research Council, EPSRC (Grant no. EP/K011820/1). This funding is gratefully acknowledged. CR Acar S., 2015, INT I SUSTAIN DEV AK-TEL, 2009, IK HES PROJ TAN REP Akya, 2014, GELEN REGULATORU HES Associates Golder, 2008, CAMB REG HIDR SANTR Azapagic A, 2005, INT J SUST DEV WORLD, V12, P112, DOI 10.1080/13504500509469623 Azapagic A, 2005, INT J SUST DEV WORLD, V12, P98, DOI 10.1080/13504500509469622 Bauer C., 2007, ECOINVENT REPORT WAS Chatzimouraddis AI, 2009, ENERG POLICY, V37, P778, DOI 10.1016/j.enpol.2008.10.009 Cinar, 2011, BALIKLI 1 2 3 REGULA Coulson J. M., 1993, COULSON RICHARDSONS Doga, 2011, ONUR REGULATORU HES Dokay, 2009, YAMANLI 2 HIDROELEKT Dones R., 2007, ECOINVENT REPORT LIF EN-CEV, 2012, ORT REG HES PROJ NIH Ersin M., 2006, THESIS ISTANBUL U EUAS, 2011, ANN REP ANK Evans A, 2009, RENEW SUST ENERG REV, V13, P1082, DOI 10.1016/j.rser.2008.03.008 Frischknecht R., 2012, LIFE CYCLE INVENTORI Genoud S, 2009, INT J GREEN ENERGY, V6, P257, DOI 10.1080/15435070902880943 Greening B, 2013, ENERGY, V59, P454, DOI 10.1016/j.energy.2013.06.037 Guinee J. B, 2001, LIFE CYCLE ASSESSMEN Guinee JB, 2011, ENVIRON SCI TECHNOL, V45, P90, DOI 10.1021/es101316v Gujba H, 2010, ENERG POLICY, V38, P5636, DOI 10.1016/j.enpol.2010.05.011 Hirschberg S, 2004, SUSTAINABILITY ELECT IAEA, 2005, EN IND SUST DEV GUID IEA, 2015, PROJ COSTS GEN EL IEA/NEA, 2011, PROJ COSTS GEN EL IEA/NEA, 2005, PROJ COSTS GEN EL International Energy Agency (IEA), 2014, EL INF 2014 IRENA, 2012, HYDR REN EN TECHN CO ISO, 2006, LIF CYCL ASS PRINC F Jeswani HK, 2011, WASTE BIOMASS VALORI, V2, P33, DOI 10.1007/s12649-010-9057-z Kannan R, 2007, RENEW SUST ENERG REV, V11, P702, DOI 10.1016/j.rser.2005.05.004 Kaygusuz K, 2011, ENERG SOURCE PART B, V6, P83, DOI 10.1080/15567240802458906 Kouloumpis V, 2015, SUSTAIN PROD CONSUMP, V1, P1, DOI 10.1016/j.spc.2015.04.001 Kucukali S, 2009, ENERG POLICY, V37, P3872, DOI 10.1016/j.enpol.2009.06.023 Lako P., 2003, HYDROPOWER DEV FOCUS Maxim A, 2014, ENERG POLICY, V65, P284, DOI 10.1016/j.enpol.2013.09.059 May JR, 2006, PROCESS SAF ENVIRON, V84, P131, DOI 10.1205/psep.04265 MENR, 2009, EL EN MARK SUPPL SEC MGS, 2011, SAM REG HES MALZ OC Mustajoki J, 2000, INFOR, V38, P208 Nazka, 2014, CAK HES KAP ART PROJ Onat N, 2010, RENEW SUST ENERG REV, V14, P3108, DOI 10.1016/j.rser.2010.07.022 Parlaktuna M., 2013, 2013 EUR GEOTH C PIS PE International, 2013, GABI VERS 6 Perdan S., 2011, SUSTAINABLE DEV PRAC Rubin ES, 2013, COMMON METHOD COST E Rutovitz J., 2012, CALCULATING GLOBAL E Santoyo Castelazo E., 2012, SUSTAINABILITY ASSES Santoyo-Castelazo E, 2014, J CLEAN PROD, V80, P119, DOI 10.1016/j.jclepro.2014.05.061 Schroder A., 2013, CURRENT PROSPECTIVE Sener A.C., 2007, JEOT EN SEM DIYARB T Serencam H, 2013, RENEW SUST ENERG REV, V27, P325, DOI 10.1016/j.rser.2013.06.045 SSI, 2013, STAT YB Stamford L, 2014, ENERGY SUSTAIN DEV, V23, P194, DOI 10.1016/j.esd.2014.09.008 Stamford L, 2012, INT J ENERG RES, V36, P1263, DOI 10.1002/er.2962 TEIAS, 2013, TURK EL EN UR PLANL TEIAS, 2012, EL GEN TRANSM STAT T Topcuoglu, 2011, TASLIKAYA REGULATORU Topcuoglu, 2008, PASALAR REGULATORU H United Nations Environment Programme (UNEP)/SETAC, 2011, LIF CYCL SUST ASS MA Wang JJ, 2009, RENEW SUST ENERG REV, V13, P2263, DOI 10.1016/j.rser.2009.06.021 WCED, 1987, REP WORLD COMM ENV D WEC, 2011, TURK EN RAP Yilmaz S.A., 2014, YESIL ISLER TURKIYED Zamagni A, 2013, INT J LIFE CYCLE ASS, V18, P1637, DOI 10.1007/s11367-013-0648-3 NR 67 TC 42 Z9 43 U1 3 U2 42 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0301-4215 EI 1873-6777 J9 ENERG POLICY JI Energy Policy PD JUN PY 2016 VL 93 BP 168 EP 186 DI 10.1016/j.enpol.2016.02.055 PG 19 WC Economics; Energy & Fuels; Environmental Sciences; Environmental Studies SC Business & Economics; Energy & Fuels; Environmental Sciences & Ecology GA DL1AH UT WOS:000375363800020 OA Other Gold HC Y HP N DA 2019-04-09 ER PT J AU Ibanez, M Blackman, A AF Ibanez, Marcela Blackman, Allen TI Is Eco-Certification a Win-Win for Developing Country Agriculture? Organic Coffee Certification in Colombia SO WORLD DEVELOPMENT LA English DT Article DE organic certification; coffee; Colombia; difference-in-differences matching ID ECONOMETRIC EVALUATION ESTIMATOR; FAIR TRADE; ECONOMIC SUSTAINABILITY; TRAINING-PROGRAM; PROPENSITY SCORE; SHADE COFFEE; COSTA-RICA; PLANTATIONS; POVERTY; PERU AB According to advocates, eco-certification is a win win solution to the problem of environmental degradation caused by developing country agriculture, improving both the environmental and the economic performance of farmers. However, these notional benefits can be undercut by the tendency of relatively wealthy farmers already meeting eco-certification standards to disproportionately participate. Using original farm-level survey data along with matching and matched difference-in-differences models, we analyze the producer-level effects of organic coffee certification in southeastern Colombia. We find that certification is associated with changes in farm practices linked to improved environmental outcomes. It significantly reduces sewage disposal in the fields and increases the adoption of organic fertilizer. However, we are not able to discern economic benefits. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Ibanez, Marcela] Courant Res Ctr Poverty Equ & Growth, Gottingen, Germany. [Blackman, Allen] Resources Future Inc, Washington, DC USA. RP Ibanez, M (reprint author), Courant Res Ctr Poverty Equ & Growth, Gottingen, Germany. FU Latin American and Caribbean Environmental Economic Program (LACEEP); Adlerbert Research Foundation; Swedish Research Council, Formas, through the Human Cooperation to Manage Natural Resources (COMMONS) program; Swedish Foundation for Strategic Environmental Research, MISTRA, through its Environment and Trade in a World of Interdependence (ENTWINED) program FX This study was funded by the Latin American and Caribbean Environmental Economic Program (LACEEP); the Adlerbert Research Foundation; the Swedish Research Council, Formas, through the Human Cooperation to Manage Natural Resources (COMMONS) program; and The Swedish Foundation for Strategic Environmental Research, MISTRA, through its Environment and Trade in a World of Interdependence (ENTWINED) program. We are grateful to the Federacion Nacional de Cafeteros de Colombia and Cenicafe for assistance with our survey. The paper has benefited from discussions with Gerhard Riener and comments from participants in LACEEP workshops, the AgroFood Conference in Gottingen, and the ENTWINED Policy Seminar on Emerging Trends in Sustainable Trade in Stockholm. Special thanks to Tomas David Vargas for assistance with field research and to Joyce Bond and Sally Atwater for careful editing. Final revision accepted: January 6, 2016. CR Aakvik A, 2001, OXFORD B ECON STAT, V63, P115, DOI 10.1111/1468-0084.00211 Angelucci M., 2015, J DEV EFFECT, P1 Arnould EJ, 2009, J PUBLIC POLICY MARK, V28, P186, DOI 10.1509/jppm.28.2.186 Ataroff M, 1997, SOIL TECHNOL, V11, P95, DOI 10.1016/S0933-3630(96)00118-3 Auld G, 2010, J ENVIRON DEV, V19, P215, DOI 10.1177/1070496510368506 BABBAR LI, 1995, J ENVIRON QUAL, V24, P227, DOI 10.2134/jeq1995.00472425002400020003x Barbosa de Lima AC, 2009, DOES CERTIFICATION M Barham BL, 2012, WORLD DEV, V40, P1269, DOI 10.1016/j.worlddev.2011.11.005 Barham BL, 2011, WORLD DEV, V39, P134, DOI 10.1016/j.worlddev.2010.08.005 Bartley T., 2007, SUSTAINABILITY ROLES Bartley T, 2007, SOC PROBL, V54, P229, DOI 10.1525/sp.2007.54.3.229 Beegle K, 2012, J DEV ECON, V98, P34, DOI 10.1016/j.jdeveco.2011.09.005 BEER J, 1988, AGROFOREST SYST, V7, P103, DOI 10.1007/BF00046846 Bermudez M., 1980, THESIS Beuchelt TD, 2011, ECOL ECON, V70, P1316, DOI 10.1016/j.ecolecon.2011.01.005 Biolatina, 2006, INF INSP PROGR UNPUB Blackman A, 2012, ECOL ECON, V83, P58, DOI 10.1016/j.ecolecon.2012.08.001 Blackman A, 2011, CONSERV BIOL, V25, P1176, DOI 10.1111/j.1523-1739.2011.01774.x Blackman A, 2010, REV ENV ECON POLICY, V4, P234, DOI 10.1093/reep/req005 Bolwig S, 2009, WORLD DEV, V37, P1094, DOI 10.1016/j.worlddev.2008.09.012 Caliendo M, 2008, J ECON SURV, V22, P31, DOI 10.1111/j.1467-6419.2007.00527.x Cashore B., 2004, GOVERNING MARKETS FO Chiputwa B, 2015, WORLD DEV, V66, P400, DOI 10.1016/j.worlddev.2014.09.006 Chomitz KM, 2007, AT LOGGERHEADS: AGRICULTURAL EXPANSION, POVERTY REDUCTION, AND ENVIRONMENT IN THE TROPICAL FORESTS, P1, DOI 10.1596/978-0-8213-6735-3 Darnall N, 2008, POLICY STUD J, V36, P95, DOI 10.1111/j.1541-0072.2007.00255.x Dehejia RH, 2002, REV ECON STAT, V84, P151, DOI 10.1162/003465302317331982 Dragusanu R, 2014, J ECON PERSPECT, V28, P217, DOI 10.1257/jep.28.3.217 Esguerra G, 2001, CAFICULTURA ORGANICA Federacion Nacional de Cafeteros de Colombia (FNC), 2008, INF EC CAF Federacion Nacional de Cafeteros de Colombia (FNC), 2008, SIST INF CAF SICA Federation Nacional de Cafeteros de Colombia (FNC), 2011, INF EC CAF EST HIST Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452 Gao D., 2006, GEOGRAPHICAL RES, V2, P14 Giovannucci D, 2005, FOOD POLICY, V30, P284, DOI 10.1016/j.foodpol.2005.05.007 Giovannucci Daniele, 2002, COLOMBIA COFFEE SECT Greenberg R, 1997, CONSERV BIOL, V11, P448, DOI 10.1046/j.1523-1739.1997.95464.x Heckman JJ, 1998, REV ECON STUD, V65, P261, DOI 10.1111/1467-937X.00044 Heckman JJ, 1997, REV ECON STUD, V64, P605, DOI 10.2307/2971733 IFOAM (International Forum for Organic Agricultural Movements), 2009, PRINC ORG AGR International Fund for Agricultural Development (IFAD), 2003, 1337 IFAD Jena PR, 2012, AGR ECON-BLACKWELL, V43, P429, DOI 10.1111/j.1574-0862.2012.00594.x Jordan A, 2003, ENVIRON POLIT, V12, P201, DOI 10.1080/714000667 Laurance WF, 2014, TRENDS ECOL EVOL, V29, P107, DOI 10.1016/j.tree.2013.12.001 Lygbaeck A., 2001, AGROFOREST SYST, V53, P205 Martinez-Sanchez J. C., 2008, THESIS Mendez VE, 2010, RENEW AGR FOOD SYST, V25, P236, DOI 10.1017/S1742170510000268 Milder JC, 2015, CONSERV BIOL, V29, P309, DOI 10.1111/cobi.12411 Ministerio de Agricultura, 2012, CONS INT EXP PROD EC Morgan SL, 2006, SOCIOL METHOD RES, V35, P3, DOI 10.1177/0049124106289164 Munoz C., 2001, CENICAFE, V52, P289 North M. O., 1984, BREEDER MANAGEMENT C, P240 Parrot N., 2007, GLOBAL DEV ORGANIC A, P153 Pell AN, 1997, J DAIRY SCI, V80, P2673, DOI 10.3168/jds.S0022-0302(97)76227-1 Philpott SM, 2007, CONSERV BIOL, V21, P975, DOI 10.1111/j.1523-1739.2007.00728.x Quispe Guanca J. L., 2007, THESIS Ramos Aguero D., 2014, CULTIV TROP, V35, P52 Rappole JH, 2003, CONSERV BIOL, V17, P334, DOI 10.1046/j.1523-1739.2003.01548.x Rivera J, 2006, POLICY STUD J, V34, P195, DOI 10.1111/j.1541-0072.2006.00166.x Rivera Jorge E., 2009, VOLUNTARY ENV PROGRA Robinson DE, 1999, ENVIRON MONIT ASSESS, V54, P125, DOI 10.1023/A:1005806815959 Romero C., 2013, 91 CTR INT FOR RES Rosenbaum P. R, 2002, OBSERVATIONAL STUDIE ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41 Ruben R, 2012, WORLD DEV, V40, P570, DOI 10.1016/j.worlddev.2011.07.030 Rueda X, 2013, ECOL SOC, V18, DOI 10.5751/ES-05595-180321 Smith JA, 2005, J ECONOMETRICS, V125, P305, DOI 10.1016/j.jeconom.2004.04.011 Soares AFS, 2012, REV BRAS ENG AGR AMB, V16, P425, DOI 10.1590/S1415-43662012000400013 Stehle S, 2015, P NATL ACAD SCI USA, V112, P5750, DOI 10.1073/pnas.1500232112 Sterner T, 2011, POLICY INSTRUMENTS E Takahashi R, 2013, J ENVIRON MANAGE, V130, P48, DOI 10.1016/j.jenvman.2013.08.025 Tejeda-Cruz C, 2010, ECOL SOC, V15 Tilman D, 2001, SCIENCE, V292, P281, DOI 10.1126/science.1057544 United Nations Development Programme (UNDP), 2010, COFF SCOP PAP GREEN Valkila J, 2009, ECOL ECON, V68, P3018, DOI 10.1016/j.ecolecon.2009.07.002 Van der Vossen HAM, 2005, EXP AGR, V41, P449, DOI 10.1017/S0014479705002863 Villa J. M., 2011, STAT SOFTWARE COMPON Weber JG, 2012, AGR ECON-BLACKWELL, V43, P73, DOI 10.1111/j.1574-0862.2012.00621.x Wehrmeyer W., 1999, GROWING PAINS ENV MA Zwane AP, 2007, J DEV ECON, V84, P330, DOI 10.1016/j.jdeveco.2005.11.007 NR 79 TC 17 Z9 20 U1 4 U2 59 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0305-750X J9 WORLD DEV JI World Dev. PD JUN PY 2016 VL 82 BP 14 EP 27 DI 10.1016/j.worlddev.2016.01.004 PG 14 WC Development Studies; Economics SC Development Studies; Business & Economics GA DJ2ZG UT WOS:000374073600002 DA 2019-04-09 ER PT J AU Marquardt, K Vico, G Glynn, C Weih, M Eksvard, K Dalin, P Bjorkman, C AF Marquardt, K. Vico, G. Glynn, C. Weih, M. Eksvard, K. Dalin, P. Bjorkman, C. TI Farmer perspectives on introducing perennial cereal in Swedish farming systems: a sustainability analysis of plant traits, farm management, and ecological implications SO AGROECOLOGY AND SUSTAINABLE FOOD SYSTEMS LA English DT Article DE Agroecology; biodiversity; farmer knowledge; landscapes; ecosystem services ID GRAIN CROPS; AGRICULTURAL LANDSCAPES; PEST-CONTROL; TRADE-OFFS; BIODIVERSITY; WHEAT; BIOCONTROL; DIVERSITY; PROSPECTS; SELECTION AB Agriculture is currently dominated by annual crops. A shift from annual to perennial cereals has been suggested as a way to improve the sustainability of agriculture. Such a shift may have impacts at multiple levels, from the field, to the farm, and the landscape. With a focus on Swedish farm production systems, farmers' views on the potential risks and possibilities of cultivating perennial cereals are discussed in light of the available knowledge regarding plant traits and ecological implications of perennial systems. Farmer interviews showed that potential changes in agricultural sustainability, if perennial cereals were to be introduced, are highly complex, and context specific. Perennial cereals could be part of a transition toward a more sustainable agriculture depending on how they are used in the local farming system and in the larger landscape. Efforts to increase the use of perennial crops require linking specific plant traits of the perennial crop to the properties of the farming systems where these crops would be employed. C1 [Marquardt, K.] Swedish Univ Agr Sci, Dept Urban & Rural Dev, Box 7012, S-75007 Uppsala, Sweden. [Vico, G.; Glynn, C.; Weih, M.] Swedish Univ Agr Sci, Dept Crop Prod Ecol, Box 7012, S-75007 Uppsala, Sweden. [Eksvard, K.] Inspire Act & Res, Knivsta, Sweden. [Dalin, P.; Bjorkman, C.] Swedish Univ Agr Sci, Dept Ecol, Box 7012, S-75007 Uppsala, Sweden. RP Marquardt, K (reprint author), Swedish Univ Agr Sci, Dept Urban & Rural Dev, Box 7012, S-75007 Uppsala, Sweden. EM Kristina.Marquardt@slu.se RI Vico, Giulia/A-6296-2010; Weih, Martin/H-5093-2011 OI Vico, Giulia/0000-0002-7849-2653; Weih, Martin/0000-0003-3823-9183 FU Swedish University of Agricultural Sciences (SLU) FX We would like to thank The Swedish University of Agricultural Sciences (SLU) for financing this research within the research program AgResource. CR Baum C, 2009, AGR FORESTRY RES, V3, P183 BAZZAZ FA, 1987, BIOSCIENCE, V37, P58, DOI 10.2307/1310178 Belfrage K, 2015, AGROECOL SUST FOOD, V39, P170, DOI 10.1080/21683565.2014.967437 Beniston JW, 2014, BIOGEOCHEMISTRY, V120, P37, DOI 10.1007/s10533-014-9980-3 Bianchi FJJA, 2006, P ROY SOC B-BIOL SCI, V273, P1715, DOI 10.1098/rspb.2006.3530 Bostid F. D., 1989, TRITICALEA PROMISING Cardinale BJ, 2003, ECOL LETT, V6, P857, DOI 10.1046/j.1461-0248.2003.00508.x Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148 Chambers Robert, 1997, WHOSE REALITY COUNTS Cox CM, 2005, PLANT DIS, V89, P1235, DOI 10.1094/PD-89-1235 Cox TS, 2006, BIOSCIENCE, V56, P649, DOI 10.1641/0006-3568(2006)56[649:PFDPGC]2.0.CO;2 Crews TE, 2015, AGROECOL SUST FOOD, V39, P500, DOI 10.1080/21683565.2015.1008777 Culman SW, 2013, AGRON J, V105, P735, DOI 10.2134/agronj2012.0273 DeHaan LR, 2005, RENEW AGR FOOD SYST, V20, P5, DOI 10.1079/RAF200496 FAO, 2013, P FAO EXP WORKSH ROM Flick U., 2002, INTRO QUALITATIVE RE GAINES MS, 1974, AM NAT, V108, P889, DOI 10.1086/282967 GARNIER E, 1992, J ECOL, V80, P665, DOI 10.2307/2260858 Glover JD, 2010, SCIENCE, V328, P1638, DOI 10.1126/science.1188761 Godar J, 2012, FOREST ECOL MANAG, V267, P58, DOI 10.1016/j.foreco.2011.11.046 Gunton RM, 2011, AGR ECOSYST ENVIRON, V142, P129, DOI 10.1016/j.agee.2011.05.022 Hayes RC, 2012, FIELD CROP RES, V133, P68, DOI 10.1016/j.fcr.2012.03.014 Jactel H, 2007, ECOL LETT, V10, P835, DOI 10.1111/j.1461-0248.2007.01073.x Jaikumar NS, 2012, AGRON J, V104, P1716, DOI 10.2134/agronj2012.0291 Karlsson A. S., 2007, OIL CROP PLATFORMS I Landis DA, 2008, P NATL ACAD SCI USA, V105, P20552, DOI 10.1073/pnas.0804951106 Larkin PJ, 2014, CROP PASTURE SCI, V65, P1147, DOI 10.1071/CP13330 Macfadyen S, 2009, ECOL LETT, V12, P229, DOI 10.1111/j.1461-0248.2008.01279.x Murphy KM, 2009, RENEW AGR FOOD SYST, V24, P285, DOI 10.1017/S1742170509990159 Pimentel D, 2012, AGR ECOSYST ENVIRON, V161, P1, DOI 10.1016/j.agee.2012.05.025 Ploschuk EL, 2005, ANN BOT-LONDON, V96, P127, DOI 10.1093/aob/mci158 Poeplau C, 2011, GLOBAL CHANGE BIOL, V17, P2415, DOI 10.1111/j.1365-2486.2011.02408.x PRETTY JN, 1995, WORLD DEV, V23, P1247, DOI 10.1016/0305-750X(95)00046-F Pybum R., 2002, WHEELBARROWS FULL FR Reason Peter, 2006, HDB ACTION RES Rist L, 2014, ECOSPHERE, V5, DOI 10.1890/ES13-00330.1 Rosenthal JP, 1997, EVOL ECOL, V11, P337, DOI 10.1023/A:1018420504439 Roumet C, 1996, NEW PHYTOL, V133, P595, DOI 10.1111/j.1469-8137.1996.tb01928.x Schenk HJ, 2002, J ECOL, V90, P480, DOI 10.1046/j.1365-2745.2002.00682.x Schmidt MH, 2005, AGR ECOSYST ENVIRON, V105, P235, DOI 10.1016/j.agee.2004.03.009 Schmitz OJ, 2007, ECOLOGY, V88, P2415, DOI 10.1890/06-0937.1 Smaje C, 2015, AGROECOL SUST FOOD, V39, P471, DOI 10.1080/21683565.2015.1007200 Swedish Board of Agriculture, 2014, RUR OPP ENV SUPP Taylor SH, 2010, NEW PHYTOL, V185, P780, DOI 10.1111/j.1469-8137.2009.03102.x Tscharntke T, 2012, BIOL REV, V87, P661, DOI 10.1111/j.1469-185X.2011.00216.x Van Tassel DL, 2010, EVOL APPL, V3, P434, DOI 10.1111/j.1752-4571.2010.00132.x VanArendonk JJCM, 1997, PLANT CELL ENVIRON, V20, P881, DOI 10.1046/j.1365-3040.1997.d01-135.x Vico G, 2016, NEW PHYTOL, V209, P104, DOI 10.1111/nph.13574 Weih M, 2008, AGR SYST, V97, P99, DOI 10.1016/j.agsy.2008.02.009 Weih M, 2003, NEW PHYTOL, V158, P7, DOI 10.1046/j.1469-8137.2003.00716.x Weik L, 2002, J AGRON CROP SCI, V188, P342, DOI 10.1046/j.1439-037X.2002.00580.x Werling BP, 2014, P NATL ACAD SCI USA, V111, P1652, DOI 10.1073/pnas.1309492111 NR 52 TC 4 Z9 5 U1 4 U2 55 PU TAYLOR & FRANCIS INC PI PHILADELPHIA PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA SN 2168-3565 EI 2168-3573 J9 AGROECOL SUST FOOD JI Agroecol. Sustain. Food Syst. PD MAY 27 PY 2016 VL 40 IS 5 BP 432 EP 450 DI 10.1080/21683565.2016.1141146 PG 19 WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology SC Agriculture; Science & Technology - Other Topics GA DG5AW UT WOS:000372085700003 DA 2019-04-09 ER PT J AU Yan, B Di Somma, M Bianco, N Luh, PB Graditi, G Mongibello, L Naso, V AF Yan, Bing Di Somma, Marialaura Bianco, Nicola Luh, Peter B. Graditi, Giorgio Mongibello, Luigi Naso, Vincenzo TI Exergy-based operation optimization of a distributed energy system through the energy-supply chain SO APPLIED THERMAL ENGINEERING LA English DT Article DE Exergy losses; Distributed energy system; Surrogate lagrangian relaxation ID CHINA AB Developing sustainable energy systems is crucial in today's world because of the depletion of fossil energy resources and global warming problems. Application of exergy principles in the context of energy supply systems may achieve efficient energy-supply chains and rational use of energy in buildings. This paper presents an exergy-based operation optimization of a distributed energy system by considering the whole energy-supply chain from energy resources to user demands. The problem is challenging in view of the complicated interactions of energy devices and the modeling of exergy losses. To capture these complicated interactions, energy networks are established with exergy losses modeled at the energy conversion step, which accounts for the largest part of the total exergy loss in the whole energy-supply chain. A multi-objective mixed integer programming problem is formulated. The problem is efficiently solved by the novel integration of surrogate Lagrangian relaxation and branch-and-cut. The Pareto frontier, including the best possible trade-offs between the economic and exergetic objectives, is obtained by minimizing a weighted sum of the total energy cost and total exergy loss occurring at the energy conversion step. Results demonstrate that the use of high-quality energy resources is reduced by the reduction of exergy losses, leading to sustainability of energy supply systems. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Yan, Bing; Luh, Peter B.] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA. [Di Somma, Marialaura; Bianco, Nicola; Naso, Vincenzo] Univ Naples Federico II, DII, I-80125 Naples, Italy. [Di Somma, Marialaura; Graditi, Giorgio; Mongibello, Luigi] ENEA Italian Natl Agcy New Technol Energy & Susta, CR Portici, I-80055 Portici, Italy. RP Di Somma, M (reprint author), Univ Naples Federico II, DII, I-80125 Naples, Italy.; Di Somma, M (reprint author), ENEA Italian Natl Agcy New Technol Energy & Susta, CR Portici, I-80055 Portici, Italy. EM marialaura.disomma@unina.it OI Luh, Peter/0000-0002-5158-7388; Di Somma, Marialaura/0000-0002-6822-2377 FU Universita degli Studi di Napoli Federico II; University of Connecticut; Smart grid con sistemi di poligenerazione distribuita (Poligrid) project FX Authors thank the Universita degli Studi di Napoli Federico II for funding this study within the agreement with the University of Connecticut and the Smart grid con sistemi di poligenerazione distribuita (Poligrid) project. CR Angelotti A., 2007, P 2 PALENC C 28 AIVC, VI, P59 [Anonymous], 2003, ANN 37 LOW EX SYST H [Anonymous], 2001, US MAN CD ROM Beijing Municipal Commission of Development & Reform, CURR PRINC PUBL COMM Bixby RE, 2000, INT FED INFO PROC, V46, P19 Bragin M. A., 2016, J CONTR DECI, V3, P44, DOI DOI 10.1080/23307706.2015.1129916 Bragin M. A., 2015, P IEEE POW EN SOC GE Bragin MA, 2015, J OPTIMIZ THEORY APP, V164, P173, DOI 10.1007/s10957-014-0561-3 Di Somma M, 2015, ENERG CONVERS MANAGE, V103, P739, DOI 10.1016/j.enconman.2015.07.009 ECBCS, ANN 49 LOW EN SYST H Eurostat Sta'tistics Database, 2010, EN STAT SUPPL TRANSF Graditi G, 2015, ENERG BUILDINGS, V102, P1, DOI 10.1016/j.enbuild.2015.05.027 Guan X, 2011, IEEE T SMART GRID, V1, P466 Han J, 2016, RENEW SUST ENERG REV, V55, P288, DOI 10.1016/j.rser.2015.10.147 IBM ILOG, IBM ILOG CPLEX OPT S Jansen SC, 2012, ENERG BUILDINGS, V55, P693, DOI 10.1016/j.enbuild.2012.08.049 Karl A, 2006, RENEW SUST ENERG REV, V10, P539 Kong XQ, 2005, APPL THERM ENG, V25, P377, DOI 10.1016/j.applthermaleng.2004.06.014 Kotas K. J., 1995, EXERGY METHOD THERMA Pacific Northwest National Laboratory, 2012, CHIN BUILD EN US LON Ramirez-Elizondo LM, 2013, INT J EXERGY, V13, P364, DOI 10.1504/IJEX.2013.057356 SCHMIDT D, 2004, INT J LOW ENERGY SUS, V3, P1 Schmidt D, 2009, ENERG BUILDINGS, V41, P331, DOI 10.1016/j.enbuild.2008.10.005 SZARGUT J, 1980, ENERGY, V5, P709, DOI 10.1016/0360-5442(80)90090-0 Szargut J, 1988, EXERGY ANAL THERMAL Teres-Zubiaga J, 2013, ENERG BUILDINGS, V64, P359, DOI 10.1016/j.enbuild.2013.05.034 Torio H, 2009, ENERG BUILDINGS, V41, P248, DOI 10.1016/j.enbuild.2008.10.006 Yan B., 2013, P IEEE CASE MAD US A Yildiz A, 2009, APPL ENERG, V86, P1939, DOI 10.1016/j.apenergy.2008.12.010 Zhou Z, 2013, APPL THERM ENG, V53, P387, DOI 10.1016/j.applthermaleng.2012.01.067 NR 30 TC 10 Z9 10 U1 2 U2 9 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 1359-4311 J9 APPL THERM ENG JI Appl. Therm. Eng. PD MAY 25 PY 2016 VL 101 BP 741 EP 751 DI 10.1016/j.applthermaleng.2016.02.029 PG 11 WC Thermodynamics; Energy & Fuels; Engineering, Mechanical; Mechanics SC Thermodynamics; Energy & Fuels; Engineering; Mechanics GA DR0ZU UT WOS:000379636500074 DA 2019-04-09 ER PT J AU Wangt, RR Zimmerman, J AF Wangt, Ranran Zimmerman, Julie TI Hybrid Analysis of Blue Water Consumption and Water Scarcity Implications at the Global, National, and Basin Levels in an Increasingly Globalized World SO ENVIRONMENTAL SCIENCE & TECHNOLOGY LA English DT Article ID INPUT-OUTPUT-ANALYSIS; VIRTUAL WATER; INTERNATIONAL-TRADE; CLIMATE-CHANGE; LAND-USE; FOOTPRINT; RESOURCES; PRODUCTS; SUSTAINABILITY; REQUIREMENTS AB As the fifth global water footprint assessment, this study enhanced previous estimates of national blue water consumption (including fresh surface and groundwater) and main economic activities with (1) improved spatial and sectoral resolution and (2) quantified the impacts of virtual water trade on water use and water stress at both the national and basin level. In 2007, 1194 Gm(3) of blue water was Consumed globally for human purposes. The consuming (producing) of primary and manufactured goods and services from the sectors of "Primary Crops and Livestock", "Primary Energy and Minerals", "Processed Food and Beverages", "Non-food Manufactured Products", "Electricity", "Commercial and Public Services", and "Households" accounted for 33% (91%), similar to 0% (1%), 37% (<1%), 13% (1%), 1% (2%), 15% (3%), and 2% (2%) of the world's total blue water consumption, respectively. The considerable differences in sectoral water consumption accounted for by the two perspectives (consumption- vs :production-based) highlight the significance of the water consumed indirectly, upstream in the supply chain (i.e., > 70% of total blue water consumption) while offering additional insights into the water implications :of critical interconnected economic activities, such as the water-energy nexus. With 145 Gm(3) (12%) of the blue water consumption embedded in the goods and services traded internationally, 89 countries analyzed were net blue water importers at the national level. On the basin level, the impacts of virtual water trade on water stress were statistically significant for basins across the world and within 104 countries; virtual water trade mitigated water stress for the basins within 85 of the 104 countries, including all of those where there are moderate and greater water stress countrywide (except Italy). C1 [Wangt, Ranran; Zimmerman, Julie] Yale Univ, Sch Forestry & Environm Studies, New Haven, CT 06511 USA. [Zimmerman, Julie] Yale Univ, Dept Chem & Environm Engn, New Haven, CT 06511 USA. RP Zimmerman, J (reprint author), 9 Hillhouse Ave 313B Mason Lab, New Haven, CT 06511 USA. EM Julie.zimmerman@yale.edu OI Zimmerman, Julie/0000-0002-5392-312X CR Alcamo J, 2007, HYDROLOG SCI J, V52, P247, DOI 10.1623/hysj.52.2.247 Allan J. A., 1996, POLICY RESPONSES CLO Allan JA, 1998, GROUND WATER, V36, P545, DOI 10.1111/j.1745-6584.1998.tb02825.x [Anonymous], 2012, WAT ACC AUSTR 2008 0 [Anonymous], AQ WAT US [Anonymous], 2005, WAT US US 2005 2010 Blackhurst M, 2010, ENVIRON SCI TECHNOL, V44, P2126, DOI 10.1021/es903147k Brown A, 2011, REV WATER SCARCITY I Chapagain AK, 2006, HYDROL EARTH SYST SC, V10, P455, DOI 10.5194/hess-10-455-2006 Chen ZM, 2013, ECOL INDIC, V28, P142, DOI 10.1016/j.ecolind.2012.07.024 Chenoweth J, 2014, HYDROL EARTH SYST SC, V18, P2325, DOI 10.5194/hess-18-2325-2014 Dalin C, 2012, P NATL ACAD SCI USA, V109, P5989, DOI 10.1073/pnas.1203176109 Daniels PL, 2011, ECON SYST RES, V23, P353, DOI 10.1080/09535314.2011.633500 Davis SJ, 2010, P NATL ACAD SCI USA, V107, P5687, DOI 10.1073/pnas.0906974107 De Fraiture C, 2004, DOES INT CEREAL TRAD Doll P, 2002, WATER RESOUR RES, V38, DOI 10.1029/2001WR000355 Ercin AE, 2013, ECOL ECON, V88, P133, DOI 10.1016/j.ecolecon.2013.01.015 Ewing BR, 2012, ECOL INDIC, V23, P1, DOI 10.1016/j.ecolind.2012.02.025 Fader M, 2011, HYDROL EARTH SYST SC, V15, P1641, DOI 10.5194/hess-15-1641-2011 FAO, 1960, AQUASTAT FAO, FAOSTAT COMM DEF COR Feng KS, 2015, HANDB RES METH APPL, P225 Feng KS, 2011, ECON SYST RES, V23, P371, DOI 10.1080/09535314.2011.638276 GASSERT F, 2013, AQUEDUCT GLOBAL MAPS Gawel E, 2011, GAIA, V20, P224, DOI 10.14512/gaia.20.4.3 Gleick PH, 2003, ANNU REV ENV RESOUR, V28, P275, DOI 10.1146/annurev.energy.28.040202.122849 Hendrickson C. T., 2006, ENV LIFE CYCLE ASSES Hoekstra AY, 2007, WATER RESOUR MANAG, V21, P35, DOI 10.1007/s11269-006-9039-x Hoekstra A.Y, 2011, WATER FOOTPRINT ASSE Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688 Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 Hung P., 2002, VIRTUAL WATER TRADE Jalava M, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/7/074016 Launiainen S, 2014, AMBIO, V43, P244, DOI 10.1007/s13280-013-0380-z Lenzen M, 2000, J IND ECOL, V4, P127, DOI DOI 10.1162/10881980052541981 Lenzen M, 2013, ECOL ECON, V94, P78, DOI 10.1016/j.ecolecon.2013.06.018 Majeau-Bettez G, 2011, ENVIRON SCI TECHNOL, V45, P10170, DOI 10.1021/es201308x Marston L, 2015, P NATL ACAD SCI USA, V112, P8561, DOI 10.1073/pnas.1500457112 MEDINA J, 2015, NY TIMES Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011 Mekonnen MM, 2012, ECOSYSTEMS, V15, P401, DOI 10.1007/s10021-011-9517-8 Nagourney A, 2015, NY TIMES Narayanan G. B., 2012, GLOBAL TRADE ASSISTA OECD (Organization for Economic Cooperation and Development), 2012, OECD ENV OUTL 2050 C Oki T, 2004, WATER SCI TECHNOL, V49, P203 Oki T, 2006, SCIENCE, V313, P1068, DOI 10.1126/science.1128845 Owen A., 2012, UNCERTAINTIES ENV EX Pahlow M, 2015, SCI TOTAL ENVIRON, V536, P847, DOI 10.1016/j.scitotenv.2015.07.124 Perry C, 2014, AGR WATER MANAGE, V134, P119, DOI 10.1016/j.agwat.2013.12.004 Peters G., 2004, PRODUCTION FACTORS P Pfister S, 2011, ENVIRON SCI TECHNOL, V45, P5761, DOI 10.1021/es1041755 Postel SL, 1998, BIOSCIENCE, V48, P629, DOI 10.2307/1313422 Ridoutt BG, 2010, ENVIRON SCI TECHNOL, V44, P6019, DOI 10.1021/es101907z Ridoutt BG, 2010, GLOBAL ENVIRON CHANG, V20, P113, DOI 10.1016/j.gloenvcha.2009.08.003 Rodda J. C, 2003, WORLD WATER RESOURCE Rohwer J, 2007, DEV FUNCTIONAL IRRIG Schewe J, 2014, P NATL ACAD SCI USA, V111, P3245, DOI 10.1073/pnas.1222460110 Schyns JF, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0099705 Statistics Canada, 2007, WAT US CAN SECT TABL Steen-Olsen K, 2012, ENVIRON SCI TECHNOL, V46, P10883, DOI 10.1021/es301949t Timmer M, 2012, WORLD INPUT OUTPUT D UNFAO, FAOSTAT Vanham D, 2013, ECOL INDIC, V32, P1, DOI 10.1016/j.ecolind.2013.02.020 Vassolo S, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003360 Vorosmarty CJ, 2000, SCIENCE, V289, P284, DOI 10.1126/science.289.5477.284 Weinzettel J., 2011, FOOTPRINT FAMILY TEC Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 Wiedmann T, 2011, ECOL ECON, V70, P1937, DOI 10.1016/j.ecolecon.2011.06.014 WITS, PROD CONC WWAP (United Nations World Water Assessment Programme), 2015, UN WORLD WAT DEV REP WWAP (World Water Assessment Programme), 2014, UN WORLD WAT DEV REP Yang H, 2006, HYDROL EARTH SYST SC, V10, P443, DOI 10.5194/hess-10-443-2006 Zhao X, 2015, P NATL ACAD SCI USA, V112, P1031, DOI 10.1073/pnas.1404130112 NR 73 TC 21 Z9 21 U1 3 U2 64 PU AMER CHEMICAL SOC PI WASHINGTON PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA SN 0013-936X EI 1520-5851 J9 ENVIRON SCI TECHNOL JI Environ. Sci. Technol. PD MAY 17 PY 2016 VL 50 IS 10 BP 5143 EP 5153 DI 10.1021/acs.est.6b00571 PG 11 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA DM4QJ UT WOS:000376331500029 PM 27101068 DA 2019-04-09 ER PT J AU Ng, TH Lye, CT Lim, YS AF Ng, Tuan Hock Lye, Chun Teck Lim, Ying San TI A decomposition analysis of CO2 emissions: evidence from Malaysia's tourism industry SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY LA English DT Article DE Tourism; CO2 emissions; energy consumption; economic growth; Malaysia; sustainability ID ENVIRONMENTAL KUZNETS CURVE; FOREIGN DIRECT-INVESTMENT; CARBON-DIOXIDE EMISSIONS; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; TIME-SERIES; CLIMATE-CHANGE; FINANCIAL DEVELOPMENT; UNIT-ROOT; TRADE AB The most important question raised from issues of environmental degradation is how economic activities bring about changes that will result in pollution. In the pursuit of tourism economy, contrary to popular interest, the travel and tourism (T&T) industry may cause environmental damages through the emissions of carbon dioxide (CO2) from energy consumption in areas such as transportation and delivery of amenities. Given this major concern, this paper attempts to investigate the linkage between tourism and CO2 emissions in Malaysia between 1981 and 2011. In particular, this study fills the knowledge gap by taking a closer look at the impact of international tourist arrivals on CO2 emissions by sector - electricity and heat generation and transport. Results from the bound test method suggest that there exists a long-run relationship among the variables under consideration when CO2 emissions become the dependent variable. The original result is similarly robust to alternatives, which are CO2 emissions from sectors of electricity and heat generation and transport. Furthermore, the vector error correction model causality analysis indicates a causal relationship between tourism and CO2 emissions by transport and electricity and heat generation. Subsequently, several tourism-related policies are drawn from these findings. C1 [Ng, Tuan Hock; Lye, Chun Teck; Lim, Ying San] Multimedia Univ, Fac Business, Bukit Beruang, Malaysia. RP Ng, TH (reprint author), Multimedia Univ, Fac Business, Bukit Beruang, Malaysia. EM thng@mmu.edu.my CR ACHARYYA JOYSRI, 2009, Journal of Economic Development, V34, P43 Al-Mulali U, 2015, ANATOLIA, V26, P230, DOI 10.1080/13032917.2014.934701 Alam MJ, 2012, ENERG POLICY, V45, P217, DOI 10.1016/j.enpol.2012.02.022 Alkhathlan K, 2013, ENERG POLICY, V62, P1525, DOI 10.1016/j.enpol.2013.07.068 Ang JB, 2008, J POLICY MODEL, V30, P271, DOI 10.1016/j.jpolmod.2007.04.010 Ang JB, 2007, ENERG POLICY, V35, P4772, DOI 10.1016/j.enpol.2007.03.032 ARCHER B, 1995, ANN TOURISM RES, V22, P918, DOI 10.1016/0160-7383(95)00018-1 Atici C, 2012, J JPN INT ECON, V26, P167, DOI 10.1016/j.jjie.2011.07.006 Becken S, 2005, GLOBAL ENVIRON CHANG, V15, P381, DOI 10.1016/j.gloenvcha.2005.08.001 Becken S, 2003, TOURISM MANAGE, V24, P267, DOI 10.1016/S0261-5177(02)00066-3 Belloumi M, 2014, ECON SYST, V38, P269, DOI 10.1016/j.ecosys.2013.09.002 Birdsall N, 1993, J ENVIRON DEV, V2, P137, DOI DOI 10.1177/107049659300200107 Blanke J., 2013, TRAVEL TOURISM COMPE BP p. l. c, 2014, BP STAT REV WORLD EN Chandran VGR, 2013, RENEW SUST ENERG REV, V24, P445, DOI 10.1016/j.rser.2013.03.054 Chang CC, 2010, APPL ENERG, V87, P3533, DOI 10.1016/j.apenergy.2010.05.004 Cheng BS, 1997, ENERG ECON, V19, P435, DOI 10.1016/S0140-9883(97)01023-2 Cowan WN, 2014, ENERG POLICY, V66, P359, DOI 10.1016/j.enpol.2013.10.081 DICKEY DA, 1979, J AM STAT ASSOC, V74, P427, DOI 10.2307/2286348 Dinda S, 2004, ECOL ECON, V49, P431, DOI 10.1016/j.ecolecon.2004.02.011 Gossling S., 2000, Journal of Sustainable Tourism, V8, P410 Gossling S, 2002, GLOBAL ENVIRON CHANG, V12, P283, DOI 10.1016/S0959-3780(02)00044-4 Gossling S, 2010, TOUR RECREAT RES, V35, P119, DOI 10.1080/02508281.2010.11081628 GRANGER CWJ, 1969, ECONOMETRICA, V37, P424, DOI 10.2307/1912791 Harris R, 2003, APPL TIME SERIES MOD Hossain MS, 2011, ENERG POLICY, V39, P6991, DOI 10.1016/j.enpol.2011.07.042 International Energy Agency, 2014, CO2 EM FUEL COMB HIG Jalil A, 2009, ENERG POLICY, V37, P5167, DOI 10.1016/j.enpol.2009.07.044 Katircioglu ST, 2014, ECON MODEL, V41, P383, DOI 10.1016/j.econmod.2014.05.028 Katircioglu ST, 2014, RENEW SUST ENERG REV, V36, P180, DOI 10.1016/j.rser.2014.04.058 Katircioglu ST, 2014, RENEW SUST ENERG REV, V29, P634, DOI 10.1016/j.rser.2013.09.004 Kelly J., 2007, Journal of Sustainable Tourism, V15, P67 Lau LS, 2014, ENERG POLICY, V68, P490, DOI 10.1016/j.enpol.2014.01.002 Lean HH, 2010, APPL ENERG, V87, P1858, DOI 10.1016/j.apenergy.2010.02.003 Lee J, 2003, REV ECON STAT, V85, P1082, DOI 10.1162/003465303772815961 Lee JW, 2013, TOURISM MANAGE, V38, P69, DOI 10.1016/j.tourman.2013.02.016 Liu J, 2011, RENEW SUST ENERG REV, V15, P2887, DOI 10.1016/j.rser.2011.02.029 Malaysia Tourism, 2014, MAL REG 25 7 MILL TO Menyah K, 2010, ENERG POLICY, V38, P2911, DOI 10.1016/j.enpol.2010.01.024 Oh CO, 2005, TOURISM MANAGE, V26, P39, DOI 10.1016/j.tourman.2003.09.014 Palmer T, 2003, TOURISM MANAGE, V24, P665, DOI 10.1016/S0261-5177(03)00046-3 Pang SFH, 2013, ASIA PAC J TOUR RES, V18, P4, DOI 10.1080/10941665.2012.688509 Pao HT, 2011, ENERGY, V36, P685, DOI 10.1016/j.energy.2010.09.041 Pesaran MH, 2001, J APPL ECONOM, V16, P289, DOI 10.1002/jae.616 PHILLIPS PCB, 1988, BIOMETRIKA, V75, P335, DOI 10.1093/biomet/75.2.335 Ruhanen L, 2013, ASIA PAC J TOUR RES, V18, P35, DOI 10.1080/10941665.2012.688510 Sahli M., 2007, Journal of Travel Research, V45, P426, DOI 10.1177/0047287506295948 Shahbaz M, 2015, ECOL INDIC, V50, P215, DOI 10.1016/j.ecolind.2014.11.007 Shahbaz M, 2013, ECON MODEL, V35, P145, DOI 10.1016/j.econmod.2013.06.037 Shahbaz M, 2013, RENEW SUST ENERG REV, V25, P109, DOI 10.1016/j.rser.2013.04.009 Shahbaz M, 2013, RENEW SUST ENERG REV, V18, P165, DOI 10.1016/j.rser.2012.10.012 Solarin SA, 2014, ANATOLIA, V25, P228, DOI 10.1080/13032917.2013.868364 Stern DI, 2004, WORLD DEV, V32, P1419, DOI 10.1016/j.worlddev.2004.03.004 Strazicich MC, 2004, J MACROECON, V26, P131, DOI 10.1016/j.jmacro.2002.11.001 Tovar C, 2008, INT J TOUR RES, V10, P365, DOI 10.1002/jtr.667 United Nations Environment Program, 2015, CLIMATE CHANGE United Nations Environment Programme, 2011, GREEN EC PATHW SUST VANENGELENBURG BCW, 1994, ENERG POLICY, V22, P648, DOI 10.1016/0301-4215(94)90058-2 WORLD TOURISM ORGANIZATION, 2005, SUST DEV TOUR DEF Zanin L, 2012, EC MODELING, V29, P328 Zhang YJ, 2011, ENERG POLICY, V39, P2197, DOI 10.1016/j.enpol.2011.02.026 NR 61 TC 5 Z9 5 U1 2 U2 34 PU TAYLOR & FRANCIS INC PI PHILADELPHIA PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA SN 1350-4509 EI 1745-2627 J9 INT J SUST DEV WORLD JI Int. J. Sustain. Dev. World Ecol. PD MAY 3 PY 2016 VL 23 IS 3 BP 266 EP 277 DI 10.1080/13504509.2015.1117534 PG 12 WC Green & Sustainable Science & Technology; Ecology SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DG4XZ UT WOS:000372077800005 DA 2019-04-09 ER PT J AU Valentinov, V Chatalova, L AF Valentinov, Vladislav Chatalova, Lioudmila TI Institutional Economics, Social Dilemmas, and the Complexity-Sustainability Trade-off (A response to Hielscher and Pies) SO SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE LA English DT Article DE institutional economics; social dilemmas; systems theory; nonprofit organizations ID CORPORATE CITIZENSHIP; BUSINESS; SYSTEMS; COSTS AB Drawing inspiration from Niklas Luhmann's social systems theory, the present note argues that the complexity of social systems has the potential to undermine their sustainability and thus to generate social dilemmas. The conceptual construct of the 'complexity-sustainability trade-off' is invoked to make the point that ensuring sustainability, if at all possible, requires controlling the proliferation of systemic complexity. To some extent, this control is feasible through structural couplings that correspond to the economic concept of the internalization of externalities. If this solution falls short of meeting the sustainability goals, systemic complexity can be alternatively controlled through the dampening of systemic imperatives, which translates, at the individual level, into the weakening of incentives. Williamson's transaction cost theory of for-profit hierarchy and Hansmann's trustworthiness theory of nonprofit organizations present cases in point. Copyright (C) 2016 John Wiley & Sons, Ltd. C1 [Valentinov, Vladislav; Chatalova, Lioudmila] Leibniz Inst Agr Dev Transit Econ, Halle, Saale, Germany. RP Valentinov, V (reprint author), Leibniz Inst Agr Dev Cent & Eastern Europe, Theodor Lieser Str 2, D-06120 Halle, Saale, Germany. EM valentinov@iamo.de CR Beck U., 2000, RISK SOC CRITICAL IS, P211, DOI DOI 10.4135/9781446219539.N12 Bowie Norman E., 1999, BUSINESS ETHICS KANT HANSMANN HB, 1980, YALE LAW J, V89, P835, DOI 10.2307/796089 Hielscher S, 2016, SYSTEMS RES BEHAV SC, DOI [10.1002/sres.2397, DOI 10.1002/SRES.2397] Hielscher S, 2014, BUS ETHICS Q, V24, P533, DOI 10.5840/beq2014111919 Hielscher S, 2014, SYST RES BEHAV SCI, V31, P708, DOI 10.1002/sres.2305 Kapp K. William, 1961, SCI MAN SOC POSITIVE Luhmann Niklas, 1989, ECOLOGICAL COMMUNICA North D. C., 2009, VIOLENCE SOCIAL ORDE Pies I, 2009, MORAL ALS HEURISTIK Pies I, 2014, BUS SOC, V53, P226, DOI 10.1177/0007650313483484 Pies I, 2009, BUS ETHICS Q, V19, P375, DOI 10.5840/beq200919322 Schumpeter J, 2004, THEORY EC DEV Swanson DL, 1999, COMPANION BUSINESS E, P207 Valentinov V, 2016, SYST RES BEHAV SCI, V33, P138, DOI 10.1002/sres.2327 Valentinov V, 2015, ECON SYST, V39, P491, DOI 10.1016/j.ecosys.2014.12.002 Valentinov V, 2015, ADMIN SOC, V47, P1126, DOI 10.1177/0095399715593316 Valentinov V, 2015, SUSTAINABILITY-BASEL, V7, P9890, DOI [10.3390/su7, 10.3390/su7089890] Valentinov V, 2014, SYST RES BEHAV SCI, V31, P316, DOI 10.1002/sres.2204 Valentinov V, 2014, ECOL ECON, V97, P28, DOI 10.1016/j.ecolecon.2013.10.014 Valentinov V, 2013, J ECON ISSUES, V47, P673, DOI 10.2753/JEI0021-3624470304 Valentinov V, 2014, SYST RES BEHAV SCI, V31, P14, DOI 10.1002/sres.2146 Williamson O.E., 1996, MECH GOVERNANCE NR 23 TC 1 Z9 1 U1 1 U2 6 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1092-7026 EI 1099-1743 J9 SYST RES BEHAV SCI JI Syst. Res. Behav. Sci. PD MAY-JUN PY 2016 VL 33 IS 3 BP 488 EP 491 DI 10.1002/sres.2397 PG 4 WC Management; Social Sciences, Interdisciplinary SC Business & Economics; Social Sciences - Other Topics GA DR5PR UT WOS:000379955400013 DA 2019-04-09 ER PT J AU Rickels, W Dovern, J Hoffmann, J Quaas, MF Schmidt, JO Visbeck, M AF Rickels, Wilfried Dovern, Jonas Hoffmann, Julia Quaas, Martin F. Schmidt, Joern O. Visbeck, Martin TI Indicators for monitoring sustainable development goals: An application to oceanic development in the European Union SO EARTHS FUTURE LA English DT Article DE Sustainable Development Goals; Indicator Selection; Composite Indicators; Ocean ID SMALL-SCALE FISHERIES; CORAL-REEFS; SECURITY; INDEXES; WEALTH AB The 2030 Agenda for Sustainable Development includes a set of 17 sustainable development goals (SDG) with 169 specific targets. As such, it could be a step forward in achieving efficient governance and policies for global sustainable development. However, the current indicator framework with its broad set of individual indicators prevents straightforward assessment of synergies and trade-offs between the various indicators, targets, and goals, thus, heightening the significance of policy guidance in achieving sustainable development. With our detailed analysis of SDG 14 (Ocean) for European Union (EU) coastal states, we demonstrate how the (complementary) inclusion of composite indicators that aggregate the individual indicators by applying a generalized mean can provide important additional information and facilitate the assessment of sustainable development in general and in the SDG context in particular. Embedded in the context of social choice theory, the generalized mean varies the specification of substitution elasticity and thus allows: (a) for a straightforward distinction between a concept of weak and strong sustainability and (b) for straightforward sensitivity analysis. We show that while in general the EU coastal states have a fairly balanced record at the SDG 14 level, certain countries like Slovenia and Portugal with a fairly balanced and a fairly unbalanced showing, respectively, rank very differently in terms of the two concepts of strong sustainability. C1 [Rickels, Wilfried] Kiel Inst World Econ, Kiel, Germany. [Dovern, Jonas] Heidelberg Univ, Alfred Weber Inst Econ, Heidelberg, Germany. [Hoffmann, Julia; Quaas, Martin F.; Schmidt, Joern O.] Univ Kiel, Dept Econ, Kiel, Germany. [Visbeck, Martin] Univ Kiel, GEOMAR Helmholtz Ctr Ocean Res Kiel, Kiel, Germany. RP Rickels, W (reprint author), Kiel Inst World Econ, Kiel, Germany. EM wilfried.rickels@ifw-kiel.de RI Rickels, Wilfried/H-1706-2013; Visbeck, Martin/B-6541-2016; Schmidt, Jorn/A-7714-2008; Quaas, Martin/C-4220-2012 OI Rickels, Wilfried/0000-0002-5407-6364; Visbeck, Martin/0000-0002-0844-834X; Schmidt, Jorn/0000-0002-4420-6532; Quaas, Martin/0000-0003-0812-8829 FU German Research Foundation within Kiel Cluster of Excellence "The Future Ocean" [CP1542]; German Ministry of Education and Research (BMBF) [01LA1104C]; Fritz Thyssen Foundation [Az.50.15.0.044 WW]; German Research Foundation [CP1139, CP1202]; Open Access fund of the Leibniz Association FX We would like to thank the editors of AGU Earth's Future, two anonymous referees, and Andrew Jenkins for helpful comments and suggestions. This research was conducted while Wilfried Rickels was a visiting scholar at the Bren School of Environmental Science and Management at the University of Santa Barbara. Financial support has been provided for Wilfried Rickels by the German Research Foundation via Grant CP1542 within the Kiel Cluster of Excellence "The Future Ocean", the German Ministry of Education and Research (BMBF) via grant 01LA1104C, and the Fritz Thyssen Foundation via grant Az.50.15.0.044 WW. Financial support has been provided for Julia Hoffmann and Jorn O. Schmidt by the German Research Foundation via Grants CP1139 and CP1202, respectively. The publication of this article was funded by the Open Access fund of the Leibniz Association. The data used for the assessment of sustainable oceanic development in European coastal states can be accessed via the Supporting Information. CR Alfsen KH, 2007, ECOL ECON, V61, P600, DOI 10.1016/j.ecolecon.2006.06.017 Allison E, 2009, NAT REP CLIM CHANGE, V3, P68, DOI DOI 10.1038/CLIMATE.2009.52 Allison E. H., 2011, 201165 WORLD FISH CT [Anonymous], 2016, PROV PROP TIERS GLOB ARMINGTON PS, 1969, INT MONET FUND S PAP, V16, P159 Arrow KJ, 2003, ENVIRON RESOUR ECON, V26, P647, DOI 10.1023/B:EARE.0000007353.78828.98 ARROW KJ, 1961, REV ECON STAT, V43, P225, DOI 10.2307/1927286 Barnes-Mauthe M, 2013, FISH RES, V147, P175, DOI 10.1016/j.fishres.2013.05.011 Bateman IJ, 2011, ENVIRON RESOUR ECON, V48, P177, DOI 10.1007/s10640-010-9418-x Beisheim M., 2015, 8201502 FG GERM I IN Bene C, 2010, DEV POLICY REV, V28, P325, DOI 10.1111/j.1467-7679.2010.00486.x BLACKORBY C, 1982, INT ECON REV, V23, P249, DOI 10.2307/2526436 Bohringer C, 2007, ECOL ECON, V63, P1, DOI 10.1016/j.ecolecon.2007.03.008 Brandi C., 2015, SUSTAINABLE DEV GOAL, P71 Bridge TCL, 2013, NAT CLIM CHANGE, V3, P528, DOI 10.1038/nclimate1879 Brundtland G, 1987, OUR COMMON FUTURE Burke L.M., 2011, REEFS RISK REVISITED Dasgupta P, 2009, ENVIRON RESOUR ECON, V42, P3, DOI 10.1007/s10640-008-9223-y Doney SC, 2009, ANNU REV MAR SCI, V1, P169, DOI 10.1146/annurev.marine.010908.163834 Dovern J, 2014, ECOL INDIC, V41, P79, DOI 10.1016/j.ecolind.2014.01.009 Ebert U, 2004, J ENVIRON ECON MANAG, V47, P270, DOI 10.1016/j.jeem.2003.09.001 Edgar GJ, 2014, NATURE, V506, P216, DOI 10.1038/nature13022 Fenichel EP, 2014, J ASSOC ENVIRON RESO, V1, P1, DOI 10.1086/676034 Fulton B., 2015, ICSU ISSU REV TARGET, P67, DOI ICSU und ISSU Gerlagh R, 2002, J ENVIRON ECON MANAG, V44, P329, DOI 10.1006/jeem.2001.1205 Hall SJ, 2013, P NATL ACAD SCI USA, V110, P8393, DOI 10.1073/pnas.1208067110 Halpern BS, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0117863 Halpern BS, 2012, NATURE, V488, P615, DOI 10.1038/nature11397 Hardy G. H., 1934, INEQUALITIES Hatcher A., 1999, P 1 WORKSH HELD PORT Heal G, 2009, CLIMATIC CHANGE, V96, P275, DOI 10.1007/s10584-009-9641-z Hughes S, 2012, ENVIRON SCI POLICY, V23, P95, DOI 10.1016/j.envsci.2012.07.012 Inter-Agency and Expert Group on Sustainable Development Goal Indicators (IAEG-SDGs), 2015, OP CONS MEMB OBS Inter-Agency and Expert Group on Sustainable Development Goal Indicators (IAEG-SDGs), 2016, 3 M INT EXP GROUP SU IUCN, 2015, IUCN RED LIST THREAT Jambeck JR, 2015, SCIENCE, V347, P768, DOI 10.1126/science.1260352 Kildow JT, 2010, MAR POLICY, V34, P367, DOI 10.1016/j.marpol.2009.08.006 Kopfmuller J, 2012, RISK HABITAT MEGACITY, P305, DOI 10.1007/978-3-642-11544-8_14 Laurans Y, 2013, J ENVIRON MANAGE, V116, P135, DOI 10.1016/j.jenvman.2012.11.031 Milazzo Matteo., 1998, FISHERIES SERIES Munro G, 2002, FISH FISH, V3, P233, DOI 10.1046/j.1467-2979.2002.00081.x Nicholson E, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0041128 OECD, 2008, HDB CONSTRUCTING COM Organisation for Economic Co-operation and Development (OECD), 1993, OECD ENV MON, V79 Pearce DW, 1989, BLUEPRINT GREEN EC Pearce W., 1993, ECOL ECON, V8, P103, DOI DOI 10.1016/0921-8009(93)90039-9 Pinter L., 2005, SUSTAINABLE DEV INDI Radermacher W., 2014, HLEG M 22 23 SEPT RO Radermacher W, 2005, STAT KNOWLEDGE POLIC, P163 Rickels W, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/4/044013 Scholtens J., 2010, IIFET 2010 EC FISH R Schultz J, 2008, INT J ENVIRON SUSTAI, V7, P465, DOI 10.1504/IJESD.2008.022390 Selman M., 2008, WORLD RESOURCES I, V1, P1 Smith R., 2001, PROPOSED APPROACH EN SOLOW RM, 1956, Q J ECON, V70, P65, DOI 10.2307/1884513 Sterner T, 2008, REV ENV ECON POLICY, V2, P61, DOI 10.1093/reep/rem024 Stiglitz J. E., 2010, MISMEASURING LIVES W Sumaila U. Rashid, 2010, Journal of Bioeconomics, V12, P201, DOI 10.1007/s10818-010-9091-8 Teh LCL, 2013, FISH FISH, V14, P77, DOI 10.1111/j.1467-2979.2011.00450.x Thompson RC, 2009, PHILOS T R SOC B, V364, P1973, DOI 10.1098/rstb.2009.0054 Traeger CP, 2013, J ENVIRON ECON MANAG, V66, P573, DOI 10.1016/j.jeem.2013.07.004 United Nations Economic Commission for Europe (UNECE), 2014, REC MEAS SUST DEV C Visbeck M, 2014, MAR POLICY, V48, P184, DOI 10.1016/j.marpol.2014.03.005 NR 63 TC 7 Z9 7 U1 3 U2 32 PU AMER GEOPHYSICAL UNION PI WASHINGTON PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA SN 2328-4277 J9 EARTHS FUTURE JI Earth Future PD MAY PY 2016 VL 4 IS 5 BP 252 EP 267 DI 10.1002/2016EF000353 PG 16 WC Environmental Sciences; Geosciences, Multidisciplinary; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Geology; Meteorology & Atmospheric Sciences GA DR1LP UT WOS:000379667300009 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Fiedor, P AF Fiedor, P. TI Structural Sustainability of the Polish Trade System SO ACTA PHYSICA POLONICA A LA English DT Article; Proceedings Paper CT 8th Polish Symposium of Physics in Economy and Social Sciences (FENS) CY NOV 04-06, 2015 CL Univ Rzeszow, Rzeszow, POLAND SP Univ Rzeszow, Fac Math & Nat Sci, Warsaw Univ Life Sci, Fac Appl Informat & Math, Polish Phys Soc, Phys Econ & Social Sci Sect, Minist Sci & Higher Educ HO Univ Rzeszow AB We use multi-region Input-Output databases to show the sustainability of the Polish trade system. Analyses of the robustness of the supply system as a whole are missing in the literature, in strong contrast with a wide variety of network analyses inquiring into the resilience of financial systems. We represent the trade system as a flow network, and use information-theoretic approach to address growth and development of such a system. We perform an analysis of the development, robustness, and structural sustainability of the Polish trade system based on national Input-Output Tables (in current prices) for Poland for the years between 1995 and 2011. As such, we are also able to comment on the changes of the studied characteristics over the years. Further, we compare the results with the results obtained for the global supply system based on the multi-region Input-Output Tables. We find the Polish supply system to be much less organised than the global supply system. We also quantify the effect of the 2008 financial crisis on the size and organisation of the trade system in Poland. C1 [Fiedor, P.] Univ Cape Town, African Inst Financial Markets & Risk Management, ZA-7700 Cape Town, South Africa. RP Fiedor, P (reprint author), Univ Cape Town, African Inst Financial Markets & Risk Management, ZA-7700 Cape Town, South Africa. EM Pawel.Fiedor@uct.ac.za CR Barbiroli G, 1996, TECHNOVATION, V16, P341, DOI 10.1016/0166-4972(96)00024-7 Clark W.C., 1986, SUSTAINABLE DEV BIOS, P291 Cover T. M., 1991, ELEMENTS INFORM THEO DALY HERMAN E., 1997, GROWTH EC SUSTAINABL Goerner SJ, 2009, ECOL ECON, V69, P76, DOI 10.1016/j.ecolecon.2009.07.018 Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245 Huang J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100923 Leontief WW, 1951, STRUCTURE AM EC 1919 MAY RM, 1972, NATURE, V238, P413, DOI 10.1038/238413a0 Robert KH, 2002, J CLEAN PROD, V10, P197, DOI 10.1016/S0959-6526(01)00061-0 Sarkis J., 2001, GREENER MANUFACTURIN, P150 Sloan T. W., 2010, J GLOB BUS MANAG, V6, P92 Ulanowicz RE, 2009, ECOL COMPLEX, V6, P27, DOI 10.1016/j.ecocom.2008.10.005 Waage SA, 2005, J CLEAN PROD, V13, P1145, DOI 10.1016/j.jclepro.2004.06.003 Walker BH, 2006, EXPLORING RESILIENCE NR 15 TC 0 Z9 0 U1 0 U2 1 PU POLISH ACAD SCIENCES INST PHYSICS PI WARSAW PA AL LOTNIKOW 32-46, PL-02-668 WARSAW, POLAND SN 0587-4246 EI 1898-794X J9 ACTA PHYS POL A JI Acta Phys. Pol. A PD MAY PY 2016 VL 129 IS 5 BP 1004 EP 1007 DI 10.12693/APhysPolA.129.1004 PG 4 WC Physics, Multidisciplinary SC Physics GA DP6NI UT WOS:000378613400021 OA Bronze DA 2019-04-09 ER PT J AU Brunori, G Galli, F Barjolle, D van Broekhuizen, R Colombo, L Giampietro, M Kirwan, J Lang, T Mathijs, E Maye, D de Roest, K Rougoor, C Schwarz, J Schmitt, E Smith, J Stojanovic, Z Tisenkopfs, T Touzard, JM AF Brunori, Gianluca Galli, Francesca Barjolle, Dominique van Broekhuizen, Rudolf Colombo, Luca Giampietro, Mario Kirwan, James Lang, Tim Mathijs, Erik Maye, Damian de Roest, Kees Rougoor, Carin Schwarz, Jana Schmitt, Emilia Smith, Julie Stojanovic, Zaklina Tisenkopfs, Talis Touzard, Jean-Marc TI Are Local Food Chains More Sustainable than Global Food Chains? Considerations for Assessment SO SUSTAINABILITY LA English DT Article DE local; global; food supply chain; sustainability; assessment; reflexive governance; post-normal science ID GOVERNANCE; STANDARDS; POLITICS; SYSTEM; HEALTH; DIETS; GREEN AB This paper summarizes the main findings of the GLAMUR project which starts with an apparently simple question: is local more sustainable than global? Sustainability assessment is framed within a post-normal science perspective, advocating the integration of public deliberation and scientific research. The assessment spans 39 local, intermediate and global supply chain case studies across different commodities and countries. Assessment criteria cover environmental, economic, social, health and ethical sustainability dimensions. A closer view of the food system demonstrates a highly dynamic local-global continuum where actors, while adapting to a changing environment, establish multiple relations and animate several chain configurations. The evidence suggests caution when comparing local and global chains, especially when using the outcomes of the comparison in decision-making. Supply chains are analytical constructs that necessarilyand arbitrarilyare confined by system boundaries, isolating a set of elements from an interconnected whole. Even consolidated approaches, such as Life Cycle Assessment (LCA), assess only a part of sustainability attributes, and the interpretation may be controversial. Many sustainability attributes are not yet measurable and hard methodologies need to be complemented by soft methodologies which are at least able to identify critical issues and trade-offs. Aware of these limitations, our research shows that comparing local and global chains, with the necessary caution, can help overcome a priori positions that so far have characterized the debate between localists and globalists. At firm level, comparison between local and global chains could be useful to identify best practices, benchmarks, critical points, and errors to avoid. As sustainability is not a status to achieve, but a never-ending process, comparison and deliberation can be the basis of a reflexive governance of food chains. C1 [Brunori, Gianluca; Galli, Francesca] Univ Pisa, Dept Agr Food & Environm, I-56124 Pisa, Italy. [Barjolle, Dominique; Schmitt, Emilia] Swiss Fed Inst Technol Zurich ETH, Sustainable Agroecosyst Grp, CH-8092 Zurich, Switzerland. [van Broekhuizen, Rudolf] Wageningen Univ, Rural Sociol Grp, NL-6708 PB Wageningen, Netherlands. [Colombo, Luca] Fdn Italiana Ric Agr Biol & Biodinam, I-00153 Rome, Italy. [Giampietro, Mario] Catalan Inst Res & Adv Studies ICREA, Barcelona 08010, Spain. [Giampietro, Mario; Maye, Damian] Univ Autonoma Barcelona, Spain & Inst Environm Sci & Technol, Bellaterra 08193, Spain. [Kirwan, James] Univ Gloucestershire, Countryside & Community Res Inst, Cheltenham GL50 2RH, Glos, England. [Lang, Tim; Smith, Julie] City Univ London, Ctr Food Policy, London EC1V 0HB, England. [Mathijs, Erik; Schwarz, Jana] Katholieke Univ Leuven, Dept Earth & Environm Sci, Div Bioecon, B-3000 Leuven, Belgium. [de Roest, Kees] Ctr Ric Prod Anim SpA, I-42121 Reggio Emilia, Italy. [Rougoor, Carin] Ctr Agr & Environm Fdn CLM, NL-4104 BA Culemborg, Netherlands. [Stojanovic, Zaklina] Univ Belgrade, Fac Econ, Belgrade 11000, Serbia. [Tisenkopfs, Talis] Balt Studies Ctr, LV-1014 Riga, Latvia. [Touzard, Jean-Marc] INRA, UMR Innovat, F-34060 Montpellier, France. RP Galli, F (reprint author), Univ Pisa, Dept Agr Food & Environm, I-56124 Pisa, Italy. EM gianluca.brunori@unipi.it; francesca.galli@for.unipi.it; barjolle@ethz.ch; rudolf.vanbroekhuizen@wur.nl; l.colombo@firab.it; mario.giampietro@uab.cat; jkirwan@glos.ac.uk; T.lang@city.ac.uk; erik.mathijs@kuleuven.be; dmaye@glos.ac.uk; k.de.roest@crpa.it; crougoor@clm.nl; jana.schwarz@kuleuven.be; schmitte@ethz.ch; juliesmith.juke@gmail.com; zaklina@ekof.bg.ac.rs; talis.tisenkopfs@lu.lv; touzard@montpellier.inra.fr RI Giampietro, Mario/F-6874-2016; brunori, Gianluca/E-1687-2014; Mathijs, Erik/C-2313-2013 OI Giampietro, Mario/0000-0002-5569-7023; brunori, Gianluca/0000-0003-2905-9738; Mathijs, Erik/0000-0002-3740-7280; Kirwan, James/0000-0002-4626-9940; Barjolle, Dominique/0000-0001-5125-9686 FU GLAMUR project as part of the EU [311778]; ICREA FX This research was funded under the GLAMUR project (Global and Local food chain Assessment: a Multidimensional performance-based approach-http://www.glamur.eu/) as part of the EU 7th Framework Programme (Grant Agreement No.: 311778). The views expressed in this article are solely those of the authors. CR Annaert B., 2014, GLAMUR PROJECT CASE Bellec-Gauche A., 2015, GLAMUR PROJECT MULTI Belletti G., 2015, WORLD DEV Blay-Palmer Alison, 2008, FOOD FEARS IND SUSTA Bressoud F., 2010, SYSTEMES CULTURE QUA Campbell H, 2009, AGR HUM VALUES, V26, P309, DOI 10.1007/s10460-009-9215-8 Canals LMI, 2006, AGR ECOSYST ENVIRON, V114, P226, DOI 10.1016/j.agee.2005.10.023 Carolan Michael, 2013, REAL COST CHEAP FOOD Caswell J. A., 1998, Review of Agricultural Economics, V20, P547, DOI 10.2307/1350007 Chiffoleau Y, 2014, AGR HUM VALUES, V31, P19, DOI 10.1007/s10460-013-9446-6 Cravero V., 2015, SUSTAINABILITY ASSES de Roest K., 2014, GLAMUR PROJECT ITALI Di Masso M., 2016, GLAMUR WP5 INTEGRATE DuPuis EM, 2005, J RURAL STUD, V21, P359, DOI 10.1016/j.jrurstud.2005.05.011 Edwards-Jones G, 2008, TRENDS FOOD SCI TECH, V19, P265, DOI 10.1016/j.tifs.2008.01.008 FAO, 2016, OECD FAO GUID RESP A FAO, 2014, SUST PATHW SUST ASS Fulponi L, 2006, FOOD POLICY, V31, P1, DOI 10.1016/j.foodpol.2005.06.006 Galli F., 2015, AGR FOOD EC, V3, P1 Galli F., 2013, 265287 FOODLINKS GA Galli F., 2015, GLOBAL LOCAL WHEAT T Galli F, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040305 Gamboa G., 2015, CASE STUDY MULTIDIME Gasparatos A, 2008, ENVIRON IMPACT ASSES, V28, P286, DOI 10.1016/j.eiar.2007.09.002 Gasparatos A, 2010, J ENVIRON MANAGE, V91, P1613, DOI 10.1016/j.jenvman.2010.03.014 Gereffi G, 2005, REV INT POLIT ECON, V12, P78, DOI 10.1080/09692290500049805 Grivins M., 2014, GLOBAL LOCAL WILD BL Henson S, 2005, FOOD POLICY, V30, P241, DOI 10.1016/j.foodpol.2005.05.002 Hu FB, 2002, JAMA-J AM MED ASSOC, V288, P2569, DOI 10.1001/jama.288.20.2569 Kasriel-Alexander D., 2015, TOP 10 GLOBAL CONSUM Keech D., 2014, GLAMUR PROJECT UK CH Keuper D., 2015, DATABASE IMPACTS D 3 Kirwan J., 2014, GLAMUR WP2 SCOPING F Marriott C., 2005, THESIS Martinez S., 2010, LOCAL FOOD SYSTEMS C Mathijs E., 2015, GLAMUR WP4 SYNTHESIS Mayes C., BIG FOOD REGIONAL FL Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011 Morgan K, 2010, ENVIRON PLANN A, V42, P1852, DOI 10.1068/a42364 Murdoch J, 2000, ECON GEOGR, V76, P107, DOI 10.2307/144549 Nestle M, 2013, FOOD POLITICS FOOD I, V3 O'Kane G, 2012, PUBLIC HEALTH NUTR, V15, P268, DOI 10.1017/S136898001100142X Oostindie H., GLAMUR CASE STUDY RE Penrose E. T., 1995, THEORY GROWTH FIRM Porter M. E., 2011, HARVARD BUS REV, V89, P2 POWELL WW, 1990, RES ORGAN BEHAV, V12, P295 Sacconi L, 2006, J BUS ETHICS, V68, P259, DOI 10.1007/s10551-006-9014-8 Sala S, 2015, ECOL ECON, V119, P314, DOI 10.1016/j.ecolecon.2015.09.015 Sala S, 2013, INT J LIFE CYCLE ASS, V18, P1686, DOI 10.1007/s11367-012-0509-5 Schader C, 2014, ECOL SOC, V19, DOI 10.5751/ES-06866-190342 Schmitt E., 2015, COMP LOCAL GLOBAL CH Schwarz J., 2015, GLAMUR WP3 CASE STUD Schwarz J., 2015, GLAMUR WP4 METHODOLO Schwarz J, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8040344 Simon H. A., 1977, MODELS OF DISCOVERY, P154 Smith A, 2007, J ENVIRON POL PLAN, V9, P351, DOI DOI 10.1080/15239080701622873 Smith J., 2014, GLAMUR PROJECT UK WH Stojanovic Z., 2014, GLOBAL LOCAL RASPBER Tilman D, 2014, NATURE, V515, P518, DOI 10.1038/nature13959 Touzard J.-M., 2015, GLAMUR PROJECT MULTI Touzard JM, 2016, SUSTAINABILITY-BASEL, V8, DOI 10.3390/su8050417 Vermeulen WJV, 2012, ECOL ECON, V83, P183, DOI 10.1016/j.ecolecon.2012.04.006 Voss JP, 2006, REFLEXIVE GOVERNANCE FOR SUSTAINABLE DEVELOPMENT, P1 Williamson O. E., 1986, EC ORG FIRMS MARKETS NR 64 TC 15 Z9 15 U1 6 U2 52 PU MDPI AG PI BASEL PA POSTFACH, CH-4005 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD MAY PY 2016 VL 8 IS 5 AR 449 DI 10.3390/su8050449 PG 27 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DO7SR UT WOS:000377983800043 OA DOAJ Gold DA 2019-04-09 ER PT J AU Schmitt, E Keech, D Maye, D Barjolle, D Kirwan, J AF Schmitt, Emilia Keech, Daniel Maye, Damian Barjolle, Dominique Kirwan, James TI Comparing the Sustainability of Local and Global Food Chains: A Case Study of Cheese Products in Switzerland and the UK SO SUSTAINABILITY LA English DT Article DE sustainability; multidimensional performance; food chains; local; global; attributes; indicators ID LIFE-CYCLE ASSESSMENT; ENVIRONMENTAL-IMPACT; SYSTEMS; FRAMEWORK; MILK; PREFERENCES; LANDSCAPE; POLITICS; MODEL AB Local food has recently gained popularity under the assumption that it is more sustainable than food from distant locations. However, evidence is still lacking to fully support this assumption. The goal of this study is to compare local and global food chains in five dimensions of sustainability (environmental, economic, social, ethical and health), covering all stages of the chain. In particular, four cheese supply chains are compared in detail: a local (L'Etivaz) and global (Le Gruyere) case in Switzerland and a local (Single Gloucester) and global (Cheddar) case in the UK. A multi-dimensional perspective is adopted to compare their sustainability performance. Eight attributes of performance (affordability, creation and distribution of added value, information and communication, consumer behaviour, resource use, biodiversity, nutrition and animal welfare) are used to frame the comparative analysis. The results suggest that local cheese performs better in the field of added value creation and distribution, animal welfare and biodiversity. Global chains, by contrast, perform better in terms of affordability and efficiency and some environmental indicators. This analysis needed to be expressed in qualitative terms rather than quantified indicators and it has been especially useful to identify the critical issues and trade-offs that hinder sustainability at different scales. Cheese supply chains in Switzerland and the UK also often present hybrid arrangements in term of local and global scales. Comparison is therefore most meaningful when presented on a local (farmhouse)/global (creamery) continuum. C1 [Schmitt, Emilia] Res Inst Organ Agr FiBL, CH-5070 Frick, Switzerland. [Schmitt, Emilia; Barjolle, Dominique] Fed Inst Technol ETH Zurich, CH-8092 Zurich, Switzerland. [Keech, Daniel; Maye, Damian; Kirwan, James] Countryside & Community Res Inst CCRI, Gloucester GL2 9HW, England. RP Schmitt, E (reprint author), Res Inst Organ Agr FiBL, CH-5070 Frick, Switzerland.; Schmitt, E (reprint author), Fed Inst Technol ETH Zurich, CH-8092 Zurich, Switzerland. EM schmitte@ethz.ch; dkeech@glos.ac.uk; dmaye@glos.ac.uk; barjolle@ethz.ch; jkirwan@glos.ac.uk OI Barjolle, Dominique/0000-0001-5125-9686; Keech, Daniel/0000-0003-4112-9030; Kirwan, James/0000-0002-4626-9940 FU European Commission [311778] FX All authors warmly acknowledge the work and support of students and colleagues at FiBL (Anaelle Tanquerey-Cado, Laurette Gratteau, Virginia Cravero, Ulysse Le Goff) and at CCRI (Dilshaad Bundhoo) who contributed to data collection and previous reports that led to this paper. Thanks also to Johan Six at ETHZ for providing feedback on the paper. We also wish to thank very warmly all people who gave their time during interviews at all stages of each value chain. We also thank the European Commission for providing funding for this research (GLAMUR project) through the Seventh Framework Programme for research, technological development and demonstration under grant agreement number 311778. CR Adams DC, 2010, RENEW AGR FOOD SYST, V25, P331, DOI 10.1017/S1742170510000219 Agriculture and Horticulture Development Board, UK DAIR PROD PROD Bellu L.G., 2006, ANAL INEGALITE INDIC Berlin J, 2002, INT DAIRY J, V12, P939, DOI 10.1016/S0958-6946(02)00112-7 Berrah L, 2007, COMPUT IND, V58, P709, DOI 10.1016/j.compind.2007.05.012 Binder CR, 2012, ECOL ECON, V83, P210, DOI 10.1016/j.ecolecon.2012.06.022 Binder CR, 2010, ENVIRON IMPACT ASSES, V30, P71, DOI 10.1016/j.eiar.2009.06.002 Bland J.H., 2014, J DAIRY SCI Bloom JD, 2011, RENEW AGR FOOD SYST, V26, P13, DOI 10.1017/S1742170510000384 Bockstaller C, 2009, AGRON SUSTAIN DEV, V29, P223, DOI 10.1051/agro:2008058 Born B, 2006, J PLAN EDUC RES, V26, P195, DOI 10.1177/0739456X06291389 Bossel H.H., 1999, INDICATORS SUSTAINAB, V68 Brunori G., 2016, SUSTAINABIL IN PRESS Capper JL, 2012, J DAIRY SCI, V95, P165, DOI 10.3168/jds.2011-4360 Ceotto E, 2009, SUSTAINABLE AGRICULTURE, P141, DOI 10.1007/978-90-481-2666-8_11 Clarke N, 2008, J RURAL STUD, V24, P219, DOI 10.1016/j.jrurstud.2007.12.008 Collomb M, 2002, INT DAIRY J, V12, P649, DOI 10.1016/S0958-6946(02)00061-4 de Roest K, 2000, SOCIOL RURALIS, V40, P439, DOI 10.1111/1467-9523.00159 Department for Environment Food & Rural Affairs, PROT FOOD NAM W COUN Dogan B, 2012, PROCD SOC BEHV, V62, P761, DOI 10.1016/j.sbspro.2012.09.128 DuPuis EM, 2005, J RURAL STUD, V21, P359, DOI 10.1016/j.jrurstud.2005.05.011 Edwards-Jones G, 2010, P NUTR SOC, V69, P582, DOI 10.1017/S0029665110002004 Feagan R, 2007, PROG HUM GEOG, V31, P23, DOI 10.1177/0309132507073527 Federal Office for Agriculture (FOAG), 2004, CAH DES CHARG Feldmann C, 2015, FOOD QUAL PREFER, V40, P152, DOI 10.1016/j.foodqual.2014.09.014 Food and Agriculture Organization of the United Nations (FAO), 2013, SAFA SUST ASS FOOD A Fraser EDG, 2006, ECOL COMPLEX, V3, P328, DOI 10.1016/j.ecocom.2007.02.006 Goy D., 2011, AGROSCOPE, V536, P1 Goy D., 2012, ALP FORUM, V59, P1 Hammond RA, 2012, P NATL ACAD SCI USA, V109, P12356, DOI 10.1073/pnas.0913003109 Hinrichs CC, 2003, J RURAL STUD, V19, P33, DOI 10.1016/S0743-0167(02)00040-2 Hortenhuber S, 2010, RENEW AGR FOOD SYST, V25, P316, DOI 10.1017/S1742170510000025 Holloway L, 2006, GEOGR J, V172, P219, DOI 10.1111/j.1475-4959.2006.00205.x Ilbery B, 2004, J RURAL STUD, V20, P331, DOI 10.1016/j.jrurstud.2003.09.001 IPG, 2014, RAPP ANN 2014 Jackson P, 2009, T I BRIT GEOGR, V34, P12, DOI 10.1111/j.1475-5661.2008.00330.x Kim D, 2013, INT J LIFE CYCLE ASS, V18, P1019, DOI 10.1007/s11367-013-0553-9 Kirwan J., 2014, GLAMUR WP2 SCOPING F La Trobe H.L., 2000, INT J SUST DEV WORLD, V7, P37 Lopez-Ridaura S., 2005, Environment Development and Sustainability, V7, P51, DOI 10.1007/s10668-003-6976-x Morrison-Saunders A, 2013, ENVIRON IMPACT ASSES, V38, P54, DOI 10.1016/j.eiar.2012.06.003 Morrissey John E., 2015, International Journal of Social Ecology and Sustainable Development, V6, P41, DOI [10.4018/IJSESD.2015070104, 10.4018/ijsesd.2015070104] Muller B, 2007, FOOD MILES POVERTY E Nardo M, 2008, HDB CONSTRUCTING COM National Farmers' Union, 2012, COMP GROW VIS STRAT Neven D, 2014, DEV SUSTAINABLE FOOD Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133 Paloviita Ari, 2010, Sustainability, V2, P1492, DOI 10.3390/su2061492 Pathak H, 2010, AGR ECOSYST ENVIRON, V139, P66, DOI 10.1016/j.agee.2010.07.002 Peano C, 2015, SUSTAINABILITY-BASEL, V7, P6721, DOI 10.3390/su7066721 QSR International, 2013, NVIVO 10 Schader C, 2014, J CLEAN PROD, V73, P227, DOI 10.1016/j.jclepro.2013.11.077 Schmitt E., 2016, UNPUB Stauffacher M, 2008, SYST PRACT ACT RES, V21, P409, DOI 10.1007/s11213-008-9107-7 Taillie LS, 2015, J NUTR, V145, P1380, DOI 10.3945/jn.115.212449 Van Cauwenbergh N, 2007, AGR ECOSYST ENVIRON, V120, P229, DOI 10.1016/j.agee.2006.09.006 Velten S, 2015, SUSTAINABILITY-BASEL, V7, P7833, DOI 10.3390/su7067833 Weber CL, 2008, ENVIRON SCI TECHNOL, V42, P3508, DOI 10.1021/es702969f Wijnands J.H., 2015, OECD FOOD AGR FISHER, V88 Wiskerke JSC, 2009, INT PLAN STUD, V14, P369, DOI 10.1080/13563471003642803 Zimmermann A, 2008, J SUSTAIN AGR, V32, P77, DOI 10.1080/10440040802121411 NR 61 TC 8 Z9 8 U1 0 U2 34 PU MDPI AG PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD MAY PY 2016 VL 8 IS 5 AR 419 DI 10.3390/su8050419 PG 20 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DO7SR UT WOS:000377983800013 OA DOAJ Gold DA 2019-04-09 ER PT J AU Dong, CW Shen, B Chow, PS Yang, L Ng, CT AF Dong, Ciwei Shen, Bin Chow, Pui-Sze Yang, Liu Ng, Chi To TI Sustainability investment under cap-and-trade regulation SO ANNALS OF OPERATIONS RESEARCH LA English DT Article DE Sustainability; Carbon emission; Cap-and-trade regulation; Supply chain coordination ID SUPPLY CHAIN COORDINATION; MANAGEMENT; PERFORMANCE; PRODUCT; FASHION; MANUFACTURER; CONTRACTS; MECHANISM; DECISIONS; MARKETS AB Carbon emission abatement is a hot topic in environmental sustainability and cap-and-trade regulation is regarded as an effective way to reduce the carbon emission. According to the real industrial practices, sustainable product implies that its production processes facilitate to reduce the carbon emission and has a positive response in market demand. In this paper, we study the sustainability investment on sustainable product with emission regulation consideration for decentralized and centralized supply chains. We first examine the order quantity of the retailer and sustainability investment of the manufacturer for the decentralized supply chain with one retailer and one manufacturer. After that, we extend our study to the centralized case where we determine the production quantity and sustainability investment for the whole supply chain. We derive the optimal order quantity (or production quantity) and sustainability investment, and find that the sustainability investment efficiency has a significant impact on the optimal solutions. Further, we conduct numerical studies and find surprisingly that the order quantity may be increasing in the wholesale price due to the effects of the sustainability and emission consideration. Moreover, we investigate the achievability of supply chain coordination by various contracts, and find that only revenue sharing contract can coordinate the supply chain whereas the buyback contract and two-part tariff contract cannot. Important insights and managerial implications are discussed. C1 [Dong, Ciwei; Ng, Chi To] Hong Kong Polytech Univ, Fac Business, Dept Logist & Maritime Studies, Kowloon, Hong Kong, Peoples R China. [Shen, Bin] Donghua Univ, Sch Glorious Sun Business & Management, Shanghai 200051, Peoples R China. [Chow, Pui-Sze] Hong Kong Polytech Univ, Inst Text & Clothing, Business Div, Kowloon, Hong Kong, Peoples R China. [Yang, Liu] Univ Int Business & Econ, Sch Business, Beijing 100029, Peoples R China. RP Shen, B (reprint author), Donghua Univ, Sch Glorious Sun Business & Management, Shanghai 200051, Peoples R China. EM ciwei.dong@connect.polyu.hk; binshenjerry@gmail.com; lpschow@outlook.com; yangliu@uibe.edu.cm; lgtctng@polyu.edu.hk RI Ng, C.T./N-6152-2014; 沈, 国/L-5652-2014 OI Ng, C.T./0000-0003-0020-8234; FU Hong Kong Polytechnic University [G-YN68]; National Natural Science Foundation of China [71201028] FX We would like to thank the editors and three anonymous reviewers for their constructive comments and suggestions that have greatly improved the paper. This research was supported in part by The Hong Kong Polytechnic University under grant number G-YN68. It was also supported in part by the National Natural Science Foundation of China (No. 71201028). CR Benjaafar S, 2013, IEEE T AUTOM SCI ENG, V10, P99, DOI 10.1109/TASE.2012.2203304 Cachon GP, 2010, MANAGE SCI, V56, P571, DOI 10.1287/mnsc.1090.1122 Cachon GP, 2003, HDBK OPER R, V11, P229 Cachon GP, 2005, MANAGE SCI, V51, P30, DOI 10.1287/mnsc.1040.0215 Chiu CH, 2016, ANN OPER RES, V240, P489, DOI 10.1007/s10479-013-1386-4 Choi TM, 2013, TRANSPORT RES E-LOG, V55, P43, DOI 10.1016/j.tre.2013.03.006 Chopra S., 2007, SUPPLY CHAIN MANAGEM de Brito MP, 2008, INT J PROD ECON, V114, P534, DOI 10.1016/j.ijpe.2007.06.012 Dong LX, 2004, MANAGE SCI, V50, P645, DOI 10.1287/mnsc.1040.0203 Drake D., 2012, TECHNOLOGY CHOICE CA Drake DF, 2013, M&SOM-MANUF SERV OP, V15, P689, DOI 10.1287/msom.2013.0456 Du S, 2015, ANN OPER RES, V228, P135, DOI 10.1007/s10479-011-0964-6 Du SF, 2013, ENERG POLICY, V57, P61, DOI 10.1016/j.enpol.2012.09.042 Grimmer M, 2013, J BUS RES, V66, P1945, DOI 10.1016/j.jbusres.2013.02.017 Gurnani H, 2008, NAV RES LOG, V55, P200, DOI 10.1002/nav.20277 Gurnani H, 2007, EUR J OPER RES, V180, P228, DOI 10.1016/j.ejor.2006.02.047 Hua GW, 2011, INT J PROD ECON, V132, P178, DOI 10.1016/j.ijpe.2011.03.024 Jaber MY, 2013, INT J PROD RES, V51, P69, DOI 10.1080/00207543.2011.651656 Jiang Y., 2012, OPTIMAL EMISSIONS RE Krass D., 2010, ENV TAXES CHOICE GRE Li Y., 2013, INT J PROD ECON, V132, P178 Lo CKY, 2012, INT J PROD ECON, V135, P561, DOI 10.1016/j.ijpe.2011.05.010 Luchs MG, 2010, J MARKETING, V74, P18, DOI 10.1509/jmkg.74.5.18 MONTGOMERY WD, 1972, J ECON THEORY, V5, P395, DOI 10.1016/0022-0531(72)90049-X Nagurney A, 2012, INT J PROD ECON, V135, P532, DOI 10.1016/j.ijpe.2011.02.015 Pasternack B. A., 1985, MARKET SCI, V4, P166, DOI DOI 10.1287/MKSC.4.2.166 Petruzzi NC, 1999, OPER RES, V47, P183, DOI 10.1287/opre.47.2.183 Samaras C., 2009, CAP TRADE IS NOT ENO Savaskan RC, 2006, MANAGE SCI, V52, P1, DOI 10.1287/mnsc.1050.0454 Shen B., 2012, J FASHION MARKETING, V16, P234 Shen B, 2013, IEEE T SYST MAN CY-S, V43, P266, DOI 10.1109/TSMCA.2012.2204739 Song J., 2012, INT SERIES OPERATION, V176, P297 Stavins R., 2008, HARVARD ENV LAW REV Stern N, 2008, AM ECON REV, V98, P1, DOI 10.1257/aer.98.2.1 Swami S, 2013, J OPER RES SOC, V64, P336, DOI 10.1057/jors.2012.44 Thogersen J, 2012, PSYCHOL MARKET, V29, P187, DOI 10.1002/mar.20514 Tietenberg T. H., 1985, EMISSIONS TRADING EX Wang YZ, 2004, MANAGE SCI, V50, P34, DOI 10.1287/mnsc.1030.0168 Xiao TJ, 2005, ANN OPER RES, V135, P87, DOI 10.1007/s10479-005-6236-6 Zhang B, 2013, INT J PROD ECON, V144, P118, DOI 10.1016/j.ijpe.2013.01.024 Zhang CT, 2013, APPL MATH MODEL, V37, P3369, DOI 10.1016/j.apm.2012.08.006 Zhang J. J., 2011, INT J SOC SYSTEMS SC, V3, P21 Zhao JY, 2010, OPER RES, V58, P529, DOI 10.1287/opre.1090.0771 NR 43 TC 63 Z9 65 U1 26 U2 116 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0254-5330 EI 1572-9338 J9 ANN OPER RES JI Ann. Oper. Res. PD MAY PY 2016 VL 240 IS 2 BP 509 EP 531 DI 10.1007/s10479-013-1514-1 PG 23 WC Operations Research & Management Science SC Operations Research & Management Science GA DN8SM UT WOS:000377349800007 HC Y HP N DA 2019-04-09 ER PT J AU Magne, MA Thenard, V Mihouta, S AF Magne, M. A. Thenard, V. Mihouta, S. TI Initial insights on the performances and management of dairy cattle herds combining two breeds with contrasting features SO ANIMAL LA English DT Article DE functional diversity; livestock farming system; performance trade-offs; dairy breed; agroecology ID ANIMAL PRODUCTION; PRODUCTION SYSTEMS; MILK-PRODUCTION; CLIMATE-CHANGE; COWS; SUSTAINABILITY; 21ST-CENTURY; CONSERVATION; VARIABILITY; CHALLENGES AB Finding ways of increasing animal production with low external inputs and without compromising reproductive performances is a key issue of livestock systems sustainability. One way is to take advantage of the diversity and interactions among components within livestock systems. Among studies that investigate the influence of differences in animals' individual abilities in a herd, few focus on combinations of cow breeds with contrasting features in dairy cattle herds. This study aimed to analyse the performances and management of such multi-breed dairy cattle herds. These herds were composed of two types of dairy breeds: 'specialist' (Holstein) and 'generalist' (e.g. Montbeliarde, Simmental, etc.). Based on recorded milk data in southern French region, we performed ANOVA: (i) to compare the performances of dairy herds according to breed-type composition: multi-breed, single specialist breed or single generalist breed and (ii) to test the difference of milk performances of specialist and generalist breed cows (n = 10 682) per multi-breed dairy herd within a sample of 22 farms. The sampled farmers were also interviewed to characterise herd management through multivariate analysis. Multi-breed dairy herds had a better trade-off among milk yield, milk fat and protein contents, herd reproduction and concentrate-conversion efficiency than single-breed herds. Conversely, they did not offer advantages in terms of milk prices and udder health. Compared to specialist dairy herds, they produce less milk with the same concentrate-conversion efficiency but have better reproductive performances. Compared to generalist dairy herds, they produce more milk with better concentrate-conversion efficiency but have worse reproductive performances. Within herds, specialist and generalist breed cows significantly differed in milk performances, showing their complementarily. The former produced more milk for a longer lactation length while the latter produced milk with higher protein and fat contents and had a slightly longer lactation rank. Our results also focus on the farmers' management of multi-breed dairy herds underlying herd performances. Three strategies of management were identified and structured along two main axes. The first differentiates farmers according to their animal-selection practices in relation with their objectives of production: adapting animal to produce milk with low-feeding inputs v. focussing on milk yield trait to intensify milk production. The second refers to the purpose farmers give to multi-breed dairy herds: milk v. milk/meat production. These initial insights on the performances and management of multi-breed dairy herds contribute to better understanding the functioning of ruminant livestock systems based on individual variability. C1 [Magne, M. A.] ENFA, UMR AGIR 1248, F-31326 Castanet Tolosan, France. [Magne, M. A.; Thenard, V.; Mihouta, S.] INRA, UMR AGIR 1248, F-31326 Castanet Tolosan, France. [Mihouta, S.] SCOPELA, F-31326 Castanet Tolosan, France. RP Magne, MA (reprint author), ENFA, UMR AGIR 1248, F-31326 Castanet Tolosan, France.; Magne, MA (reprint author), INRA, UMR AGIR 1248, F-31326 Castanet Tolosan, France. EM marie-angelina.magne@toulouse.inra.fr FU French ANR SYSTERRA program within the O2LA project [ANR-09-STRA-09] FX This work was funded by the French ANR SYSTERRA program within the O2LA (ANR-09-STRA-09) project. The authors want to thank the French Livestock Institute (Idele) and the Aveyron milk recording organisation for providing herd and individual data used in this study. They also wish to thank all the multi breed dairy cattle farmers for their welcome. CR Agreste, 2010, REC AGR MID Blanc F, 2006, ANIM RES, V55, P489, DOI 10.1051/animres:2006040 Brussaard L, 2010, CURR OPIN ENV SUST, V2, P34, DOI 10.1016/j.cosust.2010.03.007 Celaya R, 2008, ANIMAL, V2, P1818, DOI 10.1017/S1751731108003224 Charroin T, 2012, INRA PROD ANIM, V25, P193 d'Alexis S, 2014, ANIMAL, V8, P1282, DOI 10.1017/S1751731114001542 Delaby L, 2009, ANIMAL, V3, P891, DOI 10.1017/S1751731109004212 Dumont B, 2014, ANIMAL, V8, P1382, DOI 10.1017/S1751731114001281 Dumont B, 2013, ANIMAL, V7, P1028, DOI 10.1017/S1751731112002418 Gauly M, 2013, ANIMAL, V7, P843, DOI 10.1017/S1751731112002352 Girard N, 2008, AGRON SUSTAIN DEV, V28, P333, DOI 10.1051/agro:2007046 Hoffmann I, 2010, ANIM GENET, V41, P32, DOI 10.1111/j.1365-2052.2010.02043.x Jackson LE, 2007, AGR ECOSYST ENVIRON, V121, P196, DOI 10.1016/j.agee.2006.12.017 Jorritsma R, 2003, VET RES, V34, P11, DOI 10.1051/vetres:2002054 Knaus W, 2009, J SCI FOOD AGR, V89, P1107, DOI 10.1002/jsfa.3575 Mackey DR, 2007, ANIMAL, V1, P29, DOI 10.1017/S1751731107257921 Nauta WJ, 2005, NJAS-WAGEN J LIFE SC, V53, P19, DOI 10.1016/S1573-5214(05)80008-9 Ollion E, 2015, EVALUER ROBUSTESSE V Oltenacu PA, 2010, ANIM WELFARE, V19, P39 Puillet L, 2011, ANIMAL, V5, P123, DOI 10.1017/S175173111000162X Puillet L, 2010, ANIMAL, V4, P2084, DOI 10.1017/S1751731110001059 Sorensen MK, 2008, J DAIRY SCI, V91, P4116, DOI 10.3168/jds.2008-1273 Tichit M, 2011, LIVEST SCI, V139, P161, DOI 10.1016/j.livsci.2011.03.006 Vance ER, 2013, LIVEST SCI, V151, P66, DOI 10.1016/j.livsci.2012.10.011 Wampfler B, 1997, CRISES INNOVATIONS S NR 25 TC 1 Z9 1 U1 2 U2 19 PU CAMBRIDGE UNIV PRESS PI CAMBRIDGE PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND SN 1751-7311 EI 1751-732X J9 ANIMAL JI Animal PD MAY PY 2016 VL 10 IS 5 BP 892 EP 901 DI 10.1017/S1751731115002840 PG 10 WC Agriculture, Dairy & Animal Science; Veterinary Sciences SC Agriculture; Veterinary Sciences GA DN5QQ UT WOS:000377125600019 PM 26776088 OA Bronze DA 2019-04-09 ER PT J AU Hoekstra, AY Mekonnen, MM AF Hoekstra, Arjen Y. Mekonnen, Mesfin M. TI Imported water risk: the case of the UK SO ENVIRONMENTAL RESEARCH LETTERS LA English DT Article DE water footprint; virtual water trade; water risk; water security; water dependency; food security ID CROP PRODUCTS; FOOD SECURITY; FOOTPRINT; TRADE; CONSUMPTION; RESOURCES; NATIONS; MANAGEMENT; TRANSFERS; TRENDS AB While the water dependency of water-scarce nations is well understood, this is not the case for countries in temperate and humid climates, even though various studies have shown that many of such countries strongly rely on the import of water-intensive commodities from elsewhere. In this study we introduce a method to evaluate the sustainability and efficiency of the external water footprint (WF) of a country, with the UK as an example. We trace, quantify and map the UK's direct and indirect water needs and assess the 'imported water risk' by evaluating the sustainability of the water consumption in the source regions. In addition, we assess the efficiency of the water consumption in source areas in order to identify the room for water savings. We find that half of the UK's global blue WF-the direct and indirect consumption of ground-and surface water resources behind all commodities consumed in the UK-is located in places where the blue WF exceeds the maximum sustainable blue WF. About 55% of the unsustainable part of the UK's blue WF is located in six countries: Spain (14%), USA (11%), Pakistan (10%), India (7%), Iran (6%), and South Africa (6%). Our analysis further shows that about half of the global consumptive WF of the UK's direct and indirect crop consumption is inefficient, which means that consumptive WFs exceed specified WF benchmark levels. About 37% of the inefficient part of the UK's consumptive WF is located in six countries: Indonesia (7%), Ghana (7%), India (7%), Brazil (6%), Spain (5%), and Argentina (5%). In some source countries, like Pakistan, Iran, Spain, USA and Egypt, unsustainable and inefficient blue water consumption coincide. We find that, by lowering overall consumptive WFs to benchmark levels, the global blue WF of UK crop consumption could be reduced by 19%. We discuss four strategies to mitigate imported water risk: become more self-sufficient in food; diversify the import of water-intensive commodities, favouring the sourcing from water-abundant regions; reconsider the import of water-intensive commodities from the regions that are most severely water stressed altogether; and collaborate internationally with source countries with unsustainable water use where opportunities exist to increase water productivity. C1 [Hoekstra, Arjen Y.; Mekonnen, Mesfin M.] Univ Twente, Twente Water Ctr, POB 217, NL-7500 AE Enschede, Netherlands. RP Hoekstra, AY (reprint author), Univ Twente, Twente Water Ctr, POB 217, NL-7500 AE Enschede, Netherlands. EM a.y.hoekstra@utwente.nl RI Hoekstra, Arjen/B-4980-2008 OI Hoekstra, Arjen/0000-0002-4769-5239; Mekonnen, Mesfin/0000-0002-3573-9759 CR Aldaya M. M. A., 2010, WATER POLICY SPAIN, P49 Allan J.A., 2001, MIDDLE E WATER QUEST Arabi A., 2012, Journal of Water Resource and Protection, V4, P318, DOI 10.4236/jwarp.2012.45035 Brauman KA, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/2/024030 Buchanan L., 2015, NY TIMES Bulsink F, 2010, HYDROL EARTH SYST SC, V14, P119, DOI 10.5194/hess-14-119-2010 Carr JA, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL051247 Cazcarro I, 2015, SUSTAINABILITY-BASEL, V7, P5094, DOI 10.3390/su7055094 Chapagain A, 2011, WATER CARBON FOOTPRI Chapagain A.K., 2008, UK WATER FOOTPRINT I Chen ZM, 2013, ECOL INDIC, V28, P142, DOI 10.1016/j.ecolind.2012.07.024 Chukalla A. D., 2015, HYDROL EARTH SYST SC, V12, P6945, DOI [10.5194/hessd-12-6945-2015, DOI 10.5194/HESSD-12-6945-2015] Clark S, 2015, ECOL INFORM, V26, P192, DOI 10.1016/j.ecoinf.2014.05.012 Dalin C, 2014, P NATL ACAD SCI USA, V111, P9774, DOI 10.1073/pnas.1404749111 Dalin C, 2012, P NATL ACAD SCI USA, V109, P5989, DOI 10.1073/pnas.1203176109 DEFRA, 2009, UK FOOD SEC ASS DET DEFRA, 2008, ENS UKS FOOD SEC CHA Ercin AE, 2013, ECOL ECON, V88, P133, DOI 10.1016/j.ecolecon.2013.01.015 ErcinA E, 2014, ENVIRON INT, V64, P71 Fader M, 2011, HYDROL EARTH SYST SC, V15, P1641, DOI 10.5194/hess-15-1641-2011 Fader M, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014046 Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452 Food and Agriculture Organization of the United Nations (FAO) Statistics Division, 2015, FAOSTAT Fulton J., 2012, CALIFORNIAS WATER FO Hoekstra AY, 2007, WATER RESOUR MANAG, V21, P35, DOI 10.1007/s11269-006-9039-x Hoekstra A. Y., 2003, VALUE WATER RES REPO Hoekstra A.Y, 2011, WATER FOOTPRINT ASSE Hoekstra A.Y., 2008, GLOBALIZATION WATER Hoekstra A. Y., 2002, VALUE WATER RES REPO Hoekstra AY, 2007, ECOL ECON, V64, P143, DOI 10.1016/j.ecolecon.2007.02.023 Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688 Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 Hoekstra AY, 2011, WATER-SUI, V3, P21, DOI 10.3390/w3010021 Hubbard LJ, 2013, FOOD POLICY, V43, P142, DOI 10.1016/j.foodpol.2013.08.006 ITC, 2007, STAT INT TRAD AN SIT Karimi P, 2013, HYDROL EARTH SYST SC, V17, P2473, DOI 10.5194/hess-17-2473-2013 Kummu M, 2012, SCI TOTAL ENVIRON, V438, P477, DOI 10.1016/j.scitotenv.2012.08.092 Larson W. M., 2012, Water Alternatives, V5, P582 Liu JG, 2007, WATER INT, V32, P78, DOI 10.1080/02508060708691966 Ma J, 2006, PHILOS T R SOC B, V361, P835, DOI 10.1098/rstb.2005.1644 Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011 Mekonnen M. M., 2011, VALUE WATER RES REPO Mekonnen MM, 2016, SCI ADV, V2, DOI 10.1126/sciadv.1500323 Mekonnen MM, 2014, ECOL INDIC, V46, P214, DOI [10.1016/j.ecolind.2014.06.013, 10.1016/j.ecolind] Mekonnen MM, 2014, WATER INT, V39, P451, DOI 10.1080/02508060.2014.922014 Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420 Orlowsky B, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/7/074007 Pahlow M, 2015, WATER SA, V41, P300, DOI 10.4314/wsa.v41i3.02 Qureshi A. S., 2009, WATER RESOUR MANAG, V24, P1551, DOI DOI 10.1007/S11269-009-9513-3 Richter BD, 2012, RIVER RES APPL, V28, P1312, DOI 10.1002/rra.1511 Rockstrom J, 2004, BALANCING WATER HUMA Sarni W., 2011, CORPORATE WATER STRA Schyns JF, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0099705 Suweis S, 2013, P NATL ACAD SCI USA, V110, P4230, DOI 10.1073/pnas.1222452110 van Oel PR, 2009, ECOL ECON, V69, P82, DOI 10.1016/j.ecolecon.2009.07.014 Vanham D, 2013, ECOL INDIC, V32, P1, DOI 10.1016/j.ecolind.2013.02.020 Vorosmarty CJ, 2015, SCIENCE, V349, P478, DOI 10.1126/science.aac6009 West PC, 2014, SCIENCE, V345, P325, DOI 10.1126/science.1246067 Westervelt Amy, 2015, GUARDIAN Yu Y, 2010, ECOL ECON, V69, P1140, DOI 10.1016/j.ecolecon.2009.12.008 Zwart SJ, 2010, AGR WATER MANAGE, V97, P1617, DOI 10.1016/j.agwat.2010.05.018 NR 61 TC 17 Z9 17 U1 2 U2 29 PU IOP PUBLISHING LTD PI BRISTOL PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND SN 1748-9326 J9 ENVIRON RES LETT JI Environ. Res. Lett. PD MAY PY 2016 VL 11 IS 5 AR 055002 DI 10.1088/1748-9326/11/5/055002 PG 9 WC Environmental Sciences; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences GA DM6TC UT WOS:000376484300026 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Castka, P Corbett, CJ AF Castka, Pavel Corbett, Charles J. TI Governance of Eco-Labels: Expert Opinion and Media Coverage SO JOURNAL OF BUSINESS ETHICS LA English DT Article DE Eco-labels; Assurance; Third party audit; Governance; Voluntary regulation; Media coverage ID FACILITIES ENVIRONMENTAL PERFORMANCE; FAIR TRADE; SOCIAL-RESPONSIBILITY; MANAGEMENT STANDARDS; CERTIFICATION; MARKET; INFORMATION; PERSPECTIVE; LEGITIMACY; REPUTATION AB "Eco-labels" are an increasingly important form of private regulation for sustainability in areas such as carbon emissions, water consumption, ethical sourcing, or organic produce. The growing interest and popularity of eco-labels has also been coupled with growing concerns about their credibility, in part because the standard-setting and conformity assessment practices that eco-labels adopt exhibit striking differences. In this paper, we assess which assurance practices contribute to eco-labels being perceived as better governed, in the eyes of experts as well as the media. Unlike previous studies, which are mostly conceptual, qualitative, or focused on one or few eco-labels, we study a large set of eco-labels, combining data from three different sources. Our findings suggest that experts and media are primarily concerned about "re-assurance" practices, looking for one or preferably multiple layers of "re-assurance" that independent parties are overseeing the eco-label and the firms certified under it. C1 [Castka, Pavel] Univ Canterbury, Dept Management Mkt & Entrepreneurship, Private Bag 4800, Christchurch 8140, New Zealand. [Corbett, Charles J.] Univ Calif Los Angeles, Anderson Sch Management, 110 Westwood Plaza,951481, Los Angeles, CA 90095 USA. RP Castka, P (reprint author), Univ Canterbury, Dept Management Mkt & Entrepreneurship, Private Bag 4800, Christchurch 8140, New Zealand. EM pavel.castka@canterbury.ac.nz; charles.corbett@anderson.ucla.edu RI corbett, charles/B-2454-2008 OI corbett, charles/0000-0003-1814-3977 CR Aerts W, 2009, ACCOUNT ORG SOC, V34, P1, DOI 10.1016/j.aos.2008.02.005 Anderson RC, 2004, J FOREST, V102, P28 Andon P, 2012, ACCOUNT ORG SOC, V37, P131, DOI 10.1016/j.aos.2012.01.004 [Anonymous], 2001, ISO14024 Aravind D, 2011, BUS ETHICS Q, V21, P73, DOI 10.5840/beq20112114 Balineau G, 2010, J BUS ETHICS, V92, P331, DOI 10.1007/s10551-010-0577-z Balzarova MA, 2012, J BUS ETHICS, V111, P265, DOI 10.1007/s10551-012-1206-9 Behnam M, 2011, BUS ETHICS Q, V21, P45, DOI 10.5840/beq20112113 Besiou M, 2013, J BUS ETHICS, V118, P709, DOI 10.1007/s10551-013-1956-z Bewley K, 2000, ADV ENVIRONM ACC MAN, V1, P201 Blackman A, 2011, CONSERV BIOL, V25, P1176, DOI 10.1111/j.1523-1739.2011.01774.x Boiral O, 2003, ORGAN SCI, V14, P720, DOI 10.1287/orsc.14.6.720.24873 Bouslah K, 2010, J BUS ETHICS, V96, P551, DOI 10.1007/s10551-010-0482-5 Busch L, 2011, AGR HUM VALUES, V28, P345, DOI 10.1007/s10460-009-9210-0 Castka P, 2008, INT J PROD ECON, V113, P74, DOI 10.1016/j.ijpe.2007.02.048 Castka P, 2008, HUM SYST MANAGE, V27, P231, DOI 10.3233/HSM-2008-0681 Chen W, 2013, ACCOUNT ORG SOC, V38, P214, DOI 10.1016/j.aos.2013.02.001 Clarkson PM, 2008, ACCOUNT ORG SOC, V33, P303, DOI 10.1016/j.aos.2007.05.003 Conroy M.E., 2007, BRANDED CERTTIFICATI Corbett C. J., 2014, WORKING PAPER Dando N, 2003, J BUS ETHICS, V44, P195, DOI 10.1023/A:1023351816790 Darnall N, 2012, PUBLIC ADMIN REV, V72, P351, DOI 10.1111/j.1540-6210.2011.02503.x Darnall N, 2009, ACCOUNT ORG SOC, V34, P170, DOI 10.1016/j.aos.2008.07.002 Deephouse DL, 2000, J MANAGE, V26, P1091, DOI 10.1016/S0149-2063(00)00075-1 Delmas MA, 2013, MIT SLOAN MANAGE REV, V54, P10 Delmas MA, 2011, CALIF MANAGE REV, V54, P64, DOI 10.1525/cmr.2011.54.1.64 Dhanda KK, 2011, J BUS ETHICS, V100, P119, DOI 10.1007/s10551-011-0766-4 Dickson MA, 2008, J BUS ETHICS, V83, P725, DOI 10.1007/s10551-008-9661-z Dranove D, 2010, J ECON LIT, V48, P935, DOI 10.1257/jel.48.4.935 Drolet A.L., 2001, J SERV RES-US, V3, P196, DOI DOI 10.1177/109467050133001 Eccles RG, 2007, HARVARD BUS REV, V85, P104 Fransen LW, 2007, ORGANIZATION, V14, P667, DOI 10.1177/1350508407080305 Fuchs D, 2011, AGR HUM VALUES, V28, P353, DOI 10.1007/s10460-009-9236-3 Gimenez C, 2013, J BUS ETHICS, V116, P189, DOI 10.1007/s10551-012-1458-4 Golden J., 2010, CORPORATE SUSTAINABI Graffin SD, 2010, ORGAN SCI, V21, P331, DOI 10.1287/orsc.1080.0400 Gregoratti C, 2011, AGR HUM VALUES, V28, P369, DOI 10.1007/s10460-009-9211-z Hair J.E., 1998, MULTIVARIATE DATA AN Halstrom K.Tamm, 2010, TRANSNATIONAL MULTIS Harbaugh R, 2011, MANAGE SCI, V57, P1512, DOI 10.1287/mnsc.1110.1412 Hartlieb S, 2009, J BUS ETHICS, V88, P583, DOI 10.1007/s10551-009-0125-x Henson S, 2011, AGR HUM VALUES, V28, P443, DOI 10.1007/s10460-011-9309-y Heras-Saizarbitoria I., 2012, INT J MANAG REV, V15, P47 Highhouse S, 2009, J APPL PSYCHOL, V94, P782, DOI 10.1037/a0013934 Hodge FD, 2001, ACCOUNT REV, V76, P675, DOI 10.2308/accr.2001.76.4.675 Ingenbleek PTM, 2013, J BUS ETHICS, V113, P461, DOI 10.1007/s10551-012-1316-4 ISEAL, 2010, SETT SOC ENV STAND ISEAL, 2013, PRINC CRED EFF SUST ISEAL, 2010, SURV THOUGHT LEAD VI Janis IL, 1965, LANGUAGE POLITICS, P153 Johansson J, 2011, FOREST POLICY ECON, V13, P191, DOI 10.1016/j.forpol.2010.11.004 King AA, 2000, ACAD MANAGE J, V43, P698, DOI 10.2307/1556362 Kollmuss A., 2008, MAKING SENSE VOLUNTA Lamertz K, 1998, CAN J ADM SCI, V15, P93 Leire C, 2005, J CLEAN PROD, V13, P1061, DOI 10.1016/j.jclepro.2004.12.004 Mercer M., 2004, ACCOUNT HORIZ, V18, P185, DOI DOI 10.2308/ACCH.2004.18.3.185 Midttun A., 2010, CORPORATE GOVERNANCE, V10, P6 Miles M. B., 1994, QUALITATIVE DATA ANA Morth U, 2004, SOFT LAW GOVERNANCE Mueller M, 2009, J BUS ETHICS, V89, P509, DOI 10.1007/s10551-008-0013-9 Parker L., 2005, ACCOUNT AUDIT ACCOUN, V18, P842, DOI DOI 10.1108/09513570510627739 Partzsch L, 2011, AGR HUM VALUES, V28, P413, DOI 10.1007/s10460-009-9235-4 Pollock TG, 2003, ACAD MANAGE J, V46, P631, DOI 10.2307/30040654 Pollock TG, 2008, ACAD MANAGE J, V51, P335 Potoski M, 2005, J POLICY ANAL MANAG, V24, P745, DOI 10.1002/pam.20136 Potts J., 2014, STATE SUSTAINABILITY Prakash A, 2007, POLICY STUD J, V35, P773, DOI 10.1111/j.1541-0072.2007.00247.x Raynolds LT, 2007, AGR HUM VALUES, V24, P147, DOI 10.1007/s10460-006-9047-8 Richardson AJ, 2009, ACCOUNT ORG SOC, V34, P571, DOI 10.1016/j.aos.2008.11.005 Schepers DH, 2010, J BUS ETHICS, V92, P279, DOI 10.1007/s10551-009-0154-5 Schuler DA, 2011, BUS ETHICS Q, V21, P133, DOI 10.5840/beq20112116 Short J.L., 2013, WORKING PAPER Silva-Castaneda L., 2011, AGR HUM VALUES, V29, P361 Simpson D, 2012, J BUS ETHICS, V110, P85, DOI 10.1007/s10551-011-1149-6 Smith TM, 2010, GLOBAL ENVIRON CHANG, V20, P511, DOI 10.1016/j.gloenvcha.2010.03.006 Sonderskov KM, 2011, AGR HUM VALUES, V28, P507, DOI 10.1007/s10460-010-9295-5 Tallontire A, 2011, AGR HUM VALUES, V28, P427, DOI 10.1007/s10460-009-9237-2 Terlaak A, 2007, ACAD MANAGE REV, V32, P968 TerraChoice, 2010, 7 SINS GREENW Weber R. P., 1985, BASIC CONTENT ANAL Winters-Lynch J., 1994, DETERMINANTS EFFECTI NR 81 TC 19 Z9 19 U1 3 U2 43 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0167-4544 EI 1573-0697 J9 J BUS ETHICS JI J. Bus. Ethics PD MAY PY 2016 VL 135 IS 2 BP 309 EP 326 DI 10.1007/s10551-014-2474-3 PG 18 WC Business; Ethics SC Business & Economics; Social Sciences - Other Topics GA DM9MS UT WOS:000376691000008 DA 2019-04-09 ER PT J AU Zhang, YM Goldberg, M Tan, E Meyer, PA AF Zhang, Yimin Goldberg, Marshall Tan, Eric Meyer, Pimphan Aye TI Estimation of economic impacts of cellulosic biofuel production: a comparative analysis of three biofuel pathways SO BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR LA English DT Article DE Economic impact; job growth; cellulosic biorefinery; construction; operation ID ENVIRONMENTAL SUSTAINABILITY IMPACTS; DESIGNS; SYSTEM AB The development of a cellulosic biofuel industry utilizing domestic biomass resources is expected to create opportunities for economic growth resulting from the construction and operation of new biorefineries. We applied an economic input-output model to estimate potential economic impacts, particularly gross job growth, resulting from the construction and operation of biorefineries using three different technology pathways: (i) cellulosic ethanol via biochemical conversion in Iowa, (ii) renewable diesel blendstock via biological conversion in Georgia, and (iii) renewable diesel and gasoline blendstock via fast pyrolysis in Mississippi. Combining direct, indirect (revenue- and supply-chain-related), and induced effects, capital investment associated with the construction of a biorefinery processing 2000 dry metric tons of biomass per day (DMT/day) could yield between 5960 and 8470 full-time equivalent (FTE) jobs during the construction period, depending on the biofuel pathways. Fast pyrolysis biorefineries produce the most jobs on a project level thanks to the highest capital requirement among the three pathways. Normalized on the scale of $1 million of capital investment, the fast pyrolysis biorefineries are estimated to yield slighter higher numbers of jobs (12.1 jobs) than the renewable diesel (11.8 jobs) and the cellulosic ethanol (11.6 jobs) biorefineries. While operating biorefineries is not labor-intensive, the annual operation of a 2000 DMT/day biorefinery could support between 720 and 970 jobs when the direct, indirect, and induced effects are considered. The major factor, which results in the variations among the three pathways, is the type of biomass feedstock used for biofuels. Unlike construction jobs, these operation-related jobs are necessary over the entire life of the biorefineries. Our results show that indirect effects stimulated by the operation of biorefineries are the primary contributor to job growth. The agriculture/forest, services, and trade industries are the primary sectors that will benefit from the ongoing operation of biorefineries. (C) 2016 Society of Chemical Industry and John Wiley & Sons, Ltd C1 [Zhang, Yimin; Tan, Eric] Natl Renewable Energy Lab, RSF 300,15013 Denver W Pkwy, Golden, CO 80401 USA. [Goldberg, Marshall] MRG & Associates, Nevada City, NV USA. [Meyer, Pimphan Aye] Pacific NW Natl Lab, Richland, WA 99352 USA. RP Zhang, YM (reprint author), Natl Renewable Energy Lab, RSF 300,15013 Denver W Pkwy, Golden, CO 80401 USA. EM yimin.zhang@nrel.gov CR Aden A., 2002, NRELTP51032438 Argo AM, 2013, BIOFUEL BIOPROD BIOR, V7, P282, DOI 10.1002/bbb.1391 Bailey C, 2011, BIOMASS BIOENERG, V35, P1408, DOI 10.1016/j.biombioe.2010.11.033 Bioenergy Technologies Office (BETO), 2011, MULT PROGR PLAN EN E Bioenergy Technologies Office (BETO), 2015, MULT PROGR PLAN EN E Davis R., 2013, NRELTP510060223 DuPont, 2015, DUPONT CELL ETH COMM EERE, 2015, BIOEN SUCC 2014 English BC, 2013, EC RES INT, V2013, P1 EPA, 2011, EPA430R11014 GPO (US Government Publishing Office), 2015, BUDG FY 2016 TABL 10 Humbird D, NRELTP510047764 Idaho National Laboratory (INL), 2014, INLEXT1433227 Jones S, 2013, NRELTP510061178 Low SA, 2009, ECON DEV Q, V21, P71 McLaughlin S. B., 1999, PERSPECTIVES NEW CRO, P282 Muth DJ, 2014, BIOFUEL BIOPROD BIOR, V8, P545, DOI 10.1002/bbb.1483 Peters MS, 2003, PLANT DESIGN EC CHEM POET, 2015, 1 COMM SCAL CELL ETH Richardson H. W., 1972, INPUT OUTPUT REGIONA Swenson D, 2015, EC IMPACT ETHANOL PR Swenson D, APP 1 BIOF IND EC IM Urbanchuk JM, 2015, CONTRIBUTION ETHANOL *US DOE, 2011, US BILL TON UPD BIOM Ye S, 2015, EC IMPACT CORN ETHAN Yudken JS, 2015, EC BENEFITS MILITARY NR 26 TC 3 Z9 3 U1 4 U2 22 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1932-104X EI 1932-1031 J9 BIOFUEL BIOPROD BIOR JI Biofuels Bioprod. Biorefining PD MAY-JUN PY 2016 VL 10 IS 3 BP 281 EP 298 DI 10.1002/bbb.1637 PG 18 WC Biotechnology & Applied Microbiology; Energy & Fuels SC Biotechnology & Applied Microbiology; Energy & Fuels GA DM2UZ UT WOS:000376204900018 DA 2019-04-09 ER PT J AU Bagnai, A Rieber, A Tran, TAD AF Bagnai, Alberto Rieber, Arsene Thi Anh-Dao Tran TI Sub-Saharan Africa's growth, South-South trade and the generalised balance-of-payments constraint SO CAMBRIDGE JOURNAL OF ECONOMICS LA English DT Article DE BoP-constrained growth models; Sub-Saharan Africa; Development economics; South-South trade ID PRICE ELASTICITIES; ECONOMIC-GROWTH; EXCHANGE-RATES; TIME-SERIES; COINTEGRATION; INVESTMENT; THIRLWALL; GAINS; CHINA AB Using the post-Keynesian balance-of-payments constrained growth approach, we investigate the recent increase in Sub-Saharan Africa (SSA) growth, focussing on the contribution of South-South trade. The model is estimated by panel co-integration on a sample of 20 low- and lower-middle-income SSA countries, using annual data from 1990 to 2008, and considering three partner areas: SSA itself, developing Asia and the rest of the world. The results show that in the past decade the balance-of-payments constraint of SSA has been relaxed. This shift has occurred through different channels of transmission: the other SSA countries contributed through the real growth effect, developing Asia through the market share effect and the rest of the world through the terms of trade effect. These results help reconcile puzzling evidence on the pattern of SSA external indebtedness and provide new insights on the role of 'Asian drivers' on SSA growth, as well as on the sustainability of SSA growth recovery. C1 [Bagnai, Alberto] Univ G DAnnunzio, Dept Econ, Viale Pindaro 42, I-65127 Pescara, Italy. [Bagnai, Alberto; Rieber, Arsene; Thi Anh-Dao Tran] Univ Rouen, CREAM, F-76821 Mont St Aignan, France. [Thi Anh-Dao Tran] Univ Paris 13, CEPN, F-93430 Villetaneuse, France. RP Bagnai, A (reprint author), Univ G DAnnunzio, Dept Econ, Viale Pindaro 42, I-65127 Pescara, Italy. EM bagnai@unich.it OI Bagnai, Alberto/0000-0002-3668-7567 FU Italian Ministry of the University FX The authors thank Diadie Diaw for helpful research assistance, as well as Tony Thirlwall and two anonymous referees for insightful remarks. Alberto Bagnai gratefully acknowledges the financial support of the Italian Ministry of the University (60% research grant). CR African Center for Economic Transformation, 2013, GROW RAP TRANSF SLOW Algieri B., 2004, EUROPEAN J COMP EC, V1, P175 Araujo RA, 2007, CAMB J ECON, V31, P755, DOI 10.1093/cje/bem006 ARBACHE JORGE SABA, 2009, J AFRICAN EC, V19, P1 Bahmani-Oskooee M, 2005, J ECON SURV, V19, P671, DOI 10.1111/j.0950-0804.2005.00261.x Bahmani-Oskooee M, 1998, ECON LETT, V61, P101, DOI 10.1016/S0165-1765(98)00147-5 Bairam E. I., 2001, INT REV APPL EC, V15, P287 Baumeister C, 2013, J APPL ECONOMET, V28, P1087, DOI 10.1002/jae.2283 Boyd D, 2001, INT J FINANC ECON, V6, P187, DOI 10.1002/ijfe.157 Chassem N. P., 2011, 30252 MPRA Cimoli M, 2010, CAMB J ECON, V34, P389, DOI 10.1093/cje/ben060 DICKEY DA, 1981, ECONOMETRICA, V49, P1057, DOI 10.2307/1912517 Elliott DR, 1999, APPL ECON, V31, P1145, DOI 10.1080/000368499323634 Fisher RA, 1932, STAT METHODS RES WOR Frenkel R, 2009, CAMB J ECON, V33, P685, DOI 10.1093/cje/bep029 Goldstein A, 2009, WORLD ECON, V32, P1538, DOI 10.1111/j.1467-9701.2009.01248.x Hussain N. M., 1999, AFRICAN DEV REV, V11, P103 Im KS, 2003, J ECONOMETRICS, V115, P53, DOI 10.1016/S0304-4076(03)00092-7 IMF, 2013, WOR ECON OUTLOOK, P1 IMF, 2009, BAL PAYM INT INV POS IMF, 2013, INT FIN STAT Jenkins R, 2006, J ASIAN ECON, V17, P207, DOI 10.1016/j.asieco.2006.02.002 Lane PR, 2007, J INT ECON, V73, P223, DOI 10.1016/j.jinteco.2007.02.003 Maddala G. S., 1998, UNIT ROOTS COINTEGRA Maswana JC, 2009, CHIN ECON, V42, P91, DOI 10.2753/CES1097-1475420205 MCCOMBIE JSL, 1993, J POST KEYNESIAN EC, V15, P471, DOI 10.1080/01603477.1993.11489956 MCCOMBIE JSL, 1989, APPL ECON, V21, P611, DOI 10.1080/758524894 Nell K, 2003, INT REV APPL EC, V17, P249 Olofin S., 2007, 12 ANN C EC MOD AFR Orcutt GH, 1950, REV ECON STAT, V32, P117, DOI 10.2307/1927649 Pasinetti L. L., 1993, STRUCTURAL EC DYNAMI Pedroni P, 2000, ADV ECONOMETRICS, V15, P93 Pedroni P, 1999, OXFORD B ECON STAT, V61, P653, DOI 10.1111/1468-0084.0610s1653 Perraton J., 2003, INT REV APPL EC, V17, P1 PHILLIPS PCB, 1988, BIOMETRIKA, V75, P335, DOI 10.1093/biomet/75.2.335 Prebisch Raul, 1950, EC DEV LATIN AM ITS Ram R., 2004, REV RADICAL POL ECON, V36, P241 Razmi A, 2011, CAMB J ECON, V35, P545, DOI 10.1093/cje/beq035 Singer HW, 1950, AM ECON REV, V40, P473 SINGER HW, 1975, J DEV STUD, V11, P376, DOI 10.1080/00220387508421554 Taylor L, 1998, CAMBRIDGE J ECON, V22, P663, DOI 10.1093/cje/22.6.663 Thirlwall A. P., 1979, BANCA NAZ LAVO, V32, P45 Thirlwall A. P., 2012, MODELS BALANCE PAYME, P11 THIRLWALL AP, 1982, OXFORD ECON PAP, V34, P498, DOI 10.1093/oxfordjournals.oep.a041565 Tornell A, 2000, J MONETARY ECON, V45, P399, DOI 10.1016/S0304-3932(99)00057-4 UNCTAD, 2012, TRAD AND DEV REP World Bank, 2011, WORLD DEVELOPMENT REPORT 2011: CONFLICT, SECURITY AND DEVELOPMENT, P1, DOI 10.1596/978-0-8213-8439-8 NR 47 TC 4 Z9 4 U1 0 U2 11 PU OXFORD UNIV PRESS PI OXFORD PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND SN 0309-166X EI 1464-3545 J9 CAMB J ECON JI Cambr. J. Econ. PD MAY PY 2016 VL 40 IS 3 BP 797 EP 820 DI 10.1093/cje/bev020 PG 24 WC Economics SC Business & Economics GA DM1MC UT WOS:000376108400005 DA 2019-04-09 ER PT J AU Bryan, BA Nolan, M McKellar, L Connor, JD Newth, D Harwood, T King, D Navarro, J Cai, YY Gao, L Grundy, M Graham, P Ernst, A Dunstall, S Stock, F Brinsmead, T Harman, I Grigg, NJ Battaglia, M Keating, B Wonhas, A Hatfield-Dodds, S AF Bryan, Brett A. Nolan, Martin McKellar, Lisa Connor, Jeffery D. Newth, David Harwood, Tom King, Darran Navarro, Javier Cai, Yiyong Gao, Lei Grundy, Mike Graham, Paul Ernst, Andreas Dunstall, Simon Stock, Florian Brinsmead, Thomas Harman, Ian Grigg, Nicola J. Battaglia, Michael Keating, Brian Wonhas, Alex Hatfield-Dodds, Steve TI Land-use and sustainability under intersecting global change and domestic policy scenarios: Trajectories for Australia to 2050 SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS LA English DT Article DE Ecosystem services; Sustainability; Land-use change; Global; Policy; Scenarios; Climate change; Emissions abatement; Economics; Model; Temporal; Spatial; GIS; Future; Governance; Strategic; Decision-making ID CONTERMINOUS UNITED-STATES; ECOSYSTEM SERVICES; CARBON SEQUESTRATION; CLIMATE-CHANGE; INTEGRATED ASSESSMENT; DECISION-MAKING; AGRICULTURAL LANDSCAPES; CHANGE IMPACTS; COVER CHANGE; EMPLOYMENT IMPLICATIONS AB Understanding potential future influence of environmental, economic, and social drivers on land-use and sustainability is critical for guiding strategic decisions that can help nations adapt to change, anticipate opportunities, and cope with surprises. Using the Land-Use Trade-Offs (LUTO) model, we undertook a comprehensive, detailed, integrated, and quantitative scenario analysis of land-use and sustainability for Australia's agricultural land from 2013-2050, under interacting global change and domestic policies, and considering key uncertainties. We assessed land use competition between multiple land-uses and assessed the sustainability of economic returns and ecosystem services at high spatial (1.1 km grid cells) and temporal (annual) resolution. We found substantial potential for land-use transition from agriculture to carbon plantings, environmental plantings, and biofuels cropping under certain scenarios, with impacts on the sustainability of economic returns and ecosystem services including food/fibre production, emissions abatement, water resource use, biodiversity services, and energy production. However, the type, magnitude, timing, and location of land-use responses and their impacts were highly dependent on scenario parameter assumptions including global outlook and emissions abatement effort, domestic land-use policy settings, land-use change adoption behaviour, productivity growth, and capacity constraints. With strong global abatement incentives complemented by biodiversity-focussed domestic land-use policy, land-use responses can substantially increase and diversify economic returns to land and produce a much wider range of ecosystem services such as emissions abatement, biodiversity, and energy, without major impacts on agricultural production. However, better governance is needed for managing potentially significant water resource impacts. The results have wide-ranging implications for land-use and sustainability policy and governance at global and domestic scales and can inform strategic thinking and decision-making about land-use and sustainability in Australia. A comprehensive and freely available 26 GB data pack (http://doi.org/10.4225/08/5604A2E8A00CC) provides a unique resource for further research. As similarly nuanced transformational change is also possible elsewhere, our template for comprehensive, integrated, quantitative, and high resolution scenario analysis can support other nations in strategic thinking and decision-making to prepare for an uncertain future. (C) 2016 The Authors. Published by Elsevier Ltd. C1 [Bryan, Brett A.; Nolan, Martin; Connor, Jeffery D.; King, Darran; Gao, Lei] CSIRO Land & Water, Waite Campus, Urrbrae, SA 5064, Australia. [McKellar, Lisa; Navarro, Javier] CSIRO Land & Water, EcoSci Precinct, Dutton Pk, Qld 4102, Australia. [Newth, David; Cai, Yiyong; Harman, Ian] CSIRO Oceans & Atmosphere, Canberra, ACT 2601, Australia. [Harwood, Tom; Grigg, Nicola J.; Hatfield-Dodds, Steve] CSIRO Land & Water, Canberra, ACT 2601, Australia. [Grundy, Mike] CSIRO Agr, EcoSci Precinct, Dutton Pk, Dutton Pk, Qld 4102, Australia. [Graham, Paul; Brinsmead, Thomas] CSIRO Energy, Newcastle, NSW 2300, Australia. [Ernst, Andreas; Dunstall, Simon; Stock, Florian] CSIRO Digital Prod, Clayton, Vic 3168, Australia. [Battaglia, Michael] CSIRO Agr, Sandy Bay, Tas 7005, Australia. [Keating, Brian] CSIRO Execut, EcoSci Precinct, Dutton Pk, Qld 4102, Australia. [Wonhas, Alex] CSIRO, N Ryde, NSW 2113, Australia. RP Bryan, BA (reprint author), CSIRO Land & Water, Waite Campus, Urrbrae, SA 5064, Australia. EM brett.bryan@csiro.au RI Graham, Paul/J-6989-2017; connor, jeffery/G-5466-2010; Gao, Lei/F-9698-2010; Harwood, Tom/C-7271-2009; King, Darran/G-3996-2011; Battaglia, MIchael/A-5545-2011; Newth, David/A-1848-2011; Ernst, Andreas/B-4298-2008; Grigg, Nicky/H-1587-2011; Brinsmead, Thomas/D-4698-2013; Harman, Ian/A-4004-2012; Hatfield-Dodds, Steve/K-1067-2013; Grundy, Mike/K-6335-2012; Bryan, Brett/F-8949-2010 OI connor, jeffery/0000-0002-2313-8630; Gao, Lei/0000-0003-4272-9417; Harwood, Tom/0000-0002-3855-5306; Battaglia, MIchael/0000-0003-0144-5442; Newth, David/0000-0001-6882-7440; Ernst, Andreas/0000-0002-1101-8359; Grigg, Nicky/0000-0002-7601-3866; Brinsmead, Thomas/0000-0003-1469-6662; Harman, Ian/0000-0002-5690-0484; Grundy, Mike/0000-0003-0627-2093; Bryan, Brett/0000-0003-4834-5641; Graham, Paul/0000-0002-3745-0940 FU CSIRO Agriculture; CSIRO Land and Water; Australian National Outlook initiative FX We are grateful for the support of CSIRO Agriculture, CSIRO Land and Water, and the Australian National Outlook initiative. We also appreciate the constructive comments from several anonymous reviewers. CR ABARES & BRS, 2010, LAND US AUSTR VERS 4 AGO, 2006, FACT METH WORKB Alcamo J., 2008, ENV FUTURES PRACTICE, P1 Alcamo J, 2008, ENV FUTURES PRACTICE, P13 Alcamo J, 2008, ENV FUTURES PRACTICE, V2, P67 Alcamo J, 2011, ENVIRON MODELL SOFTW, V26, P1017, DOI 10.1016/j.envsoft.2011.03.002 Andreyeva T, 2010, AM J PUBLIC HEALTH, V100, P216, DOI 10.2105/AJPH.2008.151415 Antle JM, 2006, AUST J AGR RESOUR EC, V50, P1, DOI 10.1111/j.1467-8489.2006.00315.x Antle JM, 2001, AM J AGR ECON, V83, P389, DOI 10.1111/0002-9092.00164 Arneth A, 2014, NAT CLIM CHANGE, V4, P550, DOI [10.1038/nclimate2250, 10.1038/NCLIMATE2250] Audsley E, 2006, ENVIRON SCI POLICY, V9, P148, DOI 10.1016/j.envsci.2005.11.008 Australian Bureau of Statistics, 2006, SMALL AR AGR COMM DA Australian Treasury, 2015, 2015 INT REP AUSTR 2 Bateman IJ, 2013, SCIENCE, V341, P45, DOI 10.1126/science.1234379 Beaudry F, 2013, BIOL CONSERV, V165, P1, DOI 10.1016/j.biocon.2013.05.016 Beer T, 2007, J CLEAN PROD, V15, P833, DOI 10.1016/j.jclepro.2006.07.003 Bohnet IC, 2011, LANDSCAPE ECOL, V26, P1179, DOI 10.1007/s10980-011-9640-0 Bradshaw CJA, 2012, J PLANT ECOL-UK, V5, P109, DOI 10.1093/jpe/rtr038 Briner S., 2013, ECOL SOC, V18 Briner S, 2012, AGR ECOSYST ENVIRON, V149, P50, DOI 10.1016/j.agee.2011.12.011 Brown I, 2014, REG ENVIRON CHANGE, V14, P1357, DOI 10.1007/s10113-013-0579-3 Bryan BA, 2014, GLOBAL ENVIRON CHANG, V28, P166, DOI 10.1016/j.gloenvcha.2014.06.013 Bryan BA, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/4/044005 Bryan BA, 2011, ECOL INDIC, V11, P199, DOI 10.1016/j.ecolind.2009.02.005 Bryan B. A., 2015, AUSTR LAND USE SUSTA Bryan BA., 2011, COST PAYMENTS ACHIEV Bryan BA, 2008, LAND USE POLICY, V25, P533, DOI 10.1016/j.landusepol.2007.11.003 Bryan BA, 2016, NAT CLIM CHANGE, V6, P301, DOI [10.1038/nclimate2874, 10.1038/NCLIMATE2874] Bryan BA, 2015, GLOBAL CHANGE BIOL, V21, P4098, DOI 10.1111/gcb.13020 Bryan BA, 2013, CURR OPIN ENV SUST, V5, P278, DOI 10.1016/j.cosust.2013.05.011 Bryan BA, 2013, ENVIRON SCI POLICY, V27, P124, DOI 10.1016/j.envsci.2012.12.010 Bryan BA, 2010, GCB BIOENERGY, V2, P330, DOI 10.1111/j.1757-1707.2010.01056.x Bryan BA, 2011, ENVIRON MODELL SOFTW, V26, P83, DOI 10.1016/j.envsoft.2010.03.034 Bryan BA, 2009, J LAND USE SCI, V4, P131, DOI 10.1080/17474230802618722 Bryan BA, 2010, LAND USE POLICY, V27, P713, DOI 10.1016/j.landusepol.2009.09.012 Bryan BA, 2009, ENVIRON MODEL ASSESS, V14, P375, DOI 10.1007/s10666-008-9144-8 Bryan BA, 2013, ECOSYST SERV, V4, P60, DOI 10.1016/j.ecoser.2013.03.004 Bullard SH, 2002, SOUTH J APPL FOR, V26, P26 Burns K., 2011, ABATEMENT POTENTIAL Busch G, 2006, AGR ECOSYST ENVIRON, V114, P121, DOI 10.1016/j.agee.2005.11.007 Busch J, 2012, P NATL ACAD SCI USA, V109, P1062, DOI 10.1073/pnas.1109034109 Cai YY, 2015, APPL ENERG, V148, P381, DOI 10.1016/j.apenergy.2015.03.106 Carwardine J, 2015, BIOSCIENCE, V65, P372, DOI 10.1093/biosci/biv008 Chermack T.J., 2011, SCENARIO PLANNING OR Chylek P, 2011, ATMOS CHEM PHYS DISC, V11, P22893, DOI [10.5194/acpd-11-22893-2011, DOI 10.5194/ACPD-11-22893-2011] ClimateWorks Australia ANU CSIRO CoPS, 2014, TECHNICAL REPORT Connor J. D., 2016, ENV SCI POL IN PRESS Connor JD, 2015, ENVIRON MODELL SOFTW, V69, P141, DOI 10.1016/j.envsoft.2015.03.015 Cork S, 2010, RESILIENCE AND TRANSFORMATION: PREPARING AUSTRALIA FOR UNCERTAIN FUTURES, P1 Crossman ND, 2012, DIVERS DISTRIB, V18, P60, DOI 10.1111/j.1472-4642.2011.00851.x Crossman ND, 2011, CONSERV BIOL, V25, P835, DOI 10.1111/j.1523-1739.2011.01649.x *CSIRO, 2009, AN GREENH GAS MIT CA DCCEE, 2011, SEC CLEAN EN FUT AUS DeFries RS, 2004, FRONT ECOL ENVIRON, V2, P249, DOI 10.2307/3868265 Dong M, 2015, ECOSYST SERV, V15, P63, DOI 10.1016/j.ecoser.2015.07.006 Dumortier J, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044020 Eickhout B, 2007, LAND USE POLICY, V24, P562, DOI 10.1016/j.landusepol.2006.01.004 Enecon, 2001, EN PUBL, V01/160 Evans MC, 2015, ENVIRON SCI POLICY, V50, P114, DOI 10.1016/j.envsci.2015.02.003 Farine DR, 2012, GCB BIOENERGY, V4, P148, DOI 10.1111/j.1757-1707.2011.01115.x Ferrier S, 2007, DIVERS DISTRIB, V13, P252, DOI 10.1111/j.1472-4642.2007.00341.x Flugge F, 2005, ECOL ECON, V55, P584, DOI 10.1016/j.ecolecon.2004.12.033 Flugge F, 2006, AGROFOREST SYST, V68, P181, DOI 10.1007/s10457-006-9008-7 Gao L, 2016, ENVIRON MODELL SOFTW, V76, P154, DOI 10.1016/j.envsoft.2015.11.001 Gao L, 2016, ECOL MODEL, V321, P1, DOI 10.1016/j.ecolmodel.2015.10.016 Garnaut R, 2011, GARNAUT REVIEW 2011: AUSTRALIA IN THE GLOBAL RESPONSE TO CLIMATE CHANGE, P1, DOI 10.1017/CBO9781139107280 Garnaut R., 2008, GARNAUT CLIMATE CHAN Gerland P, 2014, SCIENCE, V346, P234, DOI 10.1126/science.1257469 Giorgetta MA, 2013, J ADV MODEL EARTH SY, V5, P572, DOI 10.1002/jame.20038 Golub A., 2012, P NATL ACAD SCI US, DOI 10.1073 Graham P., 2013, OVERVIEW ENERGY SECT Graham P., 2013, MODELLING FUTURE GRI Graham P. W., 2011, POSSIBLE FUTURES SCE Grau HR, 2004, GLOBAL CHANGE BIOL, V10, P1163, DOI 10.1111/j.1529-8817.2003.00792.x Grundy MJ, 2016, AGR SYST, V142, P70, DOI 10.1016/j.agsy.2015.11.008 Guillem EE, 2015, AGR SYST, V137, P12, DOI 10.1016/j.agsy.2015.03.006 Hajkowicz S, 2005, LAND DEGRAD DEV, V16, P417, DOI 10.1002/ldr.670 Hamilton SH, 2015, ENVIRON MODELL SOFTW, V64, P215, DOI 10.1016/j.envsoft.2014.12.005 Harper RJ, 2007, ECOL ENG, V29, P329, DOI 10.1016/j.ecoleng.2006.09.025 Harwood T. D., 2016, GLOBAL CHAN IN PRESS Hatfield-Dodds S., 2015, ENV PERFORMANCE LIVI Hatfield-Dodds S., 2016, EC SYSTEMS IN PRESS Hatfield-Dodds S., 2015, TECHNICAL REPORT Hatfield-Dodds S, 2015, NATURE, V527, P49, DOI 10.1038/nature16065 Havlik R, 2011, ENERG POLICY, V39, P5690 Heistermann M, 2006, AGR ECOSYST ENVIRON, V114, P141, DOI 10.1016/j.agee.2005.11.015 Hejazi MI, 2014, HYDROL EARTH SYST SC, V18, P2859, DOI 10.5194/hess-18-2859-2014 Hobday AJ, 2014, ANNU REV ENV RESOUR, V39, P1, DOI 10.1146/annurev-environ-012113-111451 Hunt C, 2008, ECOL ECON, V66, P309, DOI 10.1016/j.ecolecon.2007.09.012 IPCC, 2000, SPECIAL REPORT EMISS IPCC, 2013, CLIMATE CHANGE 2013, P1535, DOI [10.1017/CBO9781107415324, DOI 10.1017/CBO9781107415324] Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386 Keating BA, 2003, EUR J AGRON, V18, P267, DOI 10.1016/S1161-0301(02)00108-9 Krey V, 2014, WIRES ENERGY ENVIRON, V3, P363, DOI 10.1002/wene.98 Kuemmerle T, 2011, GLOBAL CHANGE BIOL, V17, P1335, DOI 10.1111/j.1365-2486.2010.02333.x Kuussaari M, 2009, TRENDS ECOL EVOL, V24, P564, DOI 10.1016/j.tree.2009.04.011 Lambin EF, 2010, LAND USE POLICY, V27, P108, DOI 10.1016/j.landusepol.2009.09.003 Lawler JJ, 2014, P NATL ACAD SCI USA, V111, P7492, DOI 10.1073/pnas.1405557111 Leclere D, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/12/124018 Letourneau A, 2012, ENVIRON MODELL SOFTW, V33, P61, DOI 10.1016/j.envsoft.2012.01.007 Lewis DJ, 2010, RESOUR ENERGY ECON, V32, P98, DOI 10.1016/j.reseneeco.2009.11.007 Liu JG, 2008, P NATL ACAD SCI USA, V105, P9477, DOI 10.1073/pnas.0706436105 Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004 Liu Zhao-gang, 2003, Journal of Forestry Research (Harbin), V14, P19, DOI 10.1007/BF02856757 Longmire A, 2015, LAND USE POLICY, V42, P578, DOI 10.1016/j.landusepol.2014.09.009 Lotze-Campen H, 2008, AGR ECON-BLACKWELL, V39, P325, DOI 10.1111/j.1574-0862.2008.00336.x Lubowski RN, 2006, J ENVIRON ECON MANAG, V51, P135, DOI 10.1016/j.jeem.2005.08.001 Luo QY, 2005, CLIMATIC CHANGE, V72, P213, DOI 10.1007/s10584-005-5361-1 Mancosu E, 2015, ENVIRON SCI POLICY, V46, P26, DOI 10.1016/j.envsci.2014.02.008 Maraseni TN, 2011, AGR ECOSYST ENVIRON, V140, P280, DOI 10.1016/j.agee.2010.12.015 Marinoni O, 2012, AGR SYST, V105, P33, DOI 10.1016/j.agsy.2011.09.002 McInerney D, 2012, CLIMATIC CHANGE, V112, P547, DOI 10.1007/s10584-011-0377-1 Meadows DH, 1972, LIMITS GROWTH REPORT Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SC, V2 Miller B. W., 2014, ECOL SOC, V19, P12 Moss RH, 2010, NATURE, V463, P747, DOI 10.1038/nature08823 Mpelasoka F, 2008, INT J CLIMATOL, V28, P1283, DOI 10.1002/joc.1649 Murray-Rust D, 2013, ENVIRON MODELL SOFTW, V46, P75, DOI 10.1016/j.envsoft.2013.02.011 Nakicenovic N, 2014, CLIMATIC CHANGE, V122, P351, DOI 10.1007/s10584-013-0982-2 Navarro J, 2016, ENVIRON MODELL SOFTW, V80, P54, DOI 10.1016/j.envsoft.2016.02.020 Nelson E, 2008, P NATL ACAD SCI USA, V105, P9471, DOI 10.1073/pnas.0706178105 Newell RG, 2014, SCIENCE, V343, P1316, DOI 10.1126/science.1246907 Newth D., 2015, SHRINK SPAC CLIM MIT Newth D., 2013, WORKING PAPER Nossal K., 2010, Australian Commodities, V17, P216 Overmars KP, 2007, LAND USE POLICY, V24, P584, DOI 10.1016/j.landusepol.2005.09.008 Pacala S, 2004, SCIENCE, V305, P968, DOI 10.1126/science.1100103 Parker DC, 2008, GEOFORUM, V39, P789, DOI 10.1016/j.geoforum.2007.05.005 Parker DC, 2003, ANN ASSOC AM GEOGR, V93, P314, DOI 10.1111/1467-8306.9302004 Parrott L, 2012, FRONT ECOL ENVIRON, V10, P382, DOI 10.1890/110082 Paterson S, 2012, ECOL SOC, V17, DOI 10.5751/ES-04959-170321 Paul KI, 2013, LAND USE POLICY, V30, P496, DOI 10.1016/j.landusepol.2012.04.014 Paul KI, 2013, LAND USE POLICY, V30, P528, DOI 10.1016/j.landusepol.2012.04.015 Plantinga AJ., 2015, ANNU REV RESOUR ECON, V7, P1 Polglase P., 2008, REGIONAL OPPORTUNITI Polglase PJ, 2013, CLIMATIC CHANGE, V121, P161, DOI 10.1007/s10584-013-0882-5 Prestemon JP, 2000, FOREST SCI, V46, P377 Radeloff VC, 2012, ECOL APPL, V22, P1036, DOI 10.1890/11-0306.1 Raskin PD, 2005, ECOSYSTEMS, V8, P133, DOI 10.1007/s10021-004-0074-2 Raupach M. R., 2012, NEGOTIATING OUR FAUT Reedman LJ., 2013, TRANSPORT GREENHOUSE Reeson A, 2015, LAND USE POLICY, V46, P267, DOI 10.1016/j.landusepol.2015.02.016 Regan CM, 2015, J ENVIRON MANAGE, V161, P144, DOI 10.1016/j.jenvman.2015.07.004 Rogelj J, 2012, NAT CLIM CHANGE, V2, P248, DOI [10.1038/NCLIMATE1385, 10.1038/nclimate1385] Rosengrant MW, 2012, INT MODEL POLICY ANA Rothman D. S., 2008, ENV FUTURES PRACTICE, P37 Rounsevell MDA, 2014, EARTH SYST DYNAM, V5, P117, DOI 10.5194/esd-5-117-2014 Rounsevell MDA, 2012, PHILOS T R SOC B, V367, P259, DOI 10.1098/rstb.2011.0187 Rounsevell MDA, 2012, LAND USE POLICY, V29, P899, DOI 10.1016/j.landusepol.2012.01.007 Rounsevell MDA, 2005, AGR ECOSYST ENVIRON, V107, P117, DOI 10.1016/j.agee.2004.12.002 Schaldach R, 2011, ENVIRON MODELL SOFTW, V26, P1041, DOI 10.1016/j.envsoft.2011.02.013 Schoemaker PJ, 2004, BLACKWELL HDB JUDGME, P274 Schreinemachers P, 2011, ENVIRON MODELL SOFTW, V26, P845, DOI 10.1016/j.envsoft.2011.02.004 Schroter D, 2005, SCIENCE, V310, P1333, DOI 10.1126/science.1115233 Schulp CJE, 2008, AGR ECOSYST ENVIRON, V127, P251, DOI 10.1016/j.agee.2008.04.010 Sleeter BM, 2012, GLOBAL ENVIRON CHANG, V22, P896, DOI 10.1016/j.gloenvcha.2012.03.008 Sohl TL, 2014, ECOL APPL, V24, P1015, DOI 10.1890/13-1245.1 Stehfest E., 2014, INTEGRATED ASSESSMEN Stern N. H, 2006, EC CLIMATE CHANGE ST Summers DM, 2015, LAND USE POLICY, V44, P110, DOI 10.1016/j.landusepol.2014.12.002 Summers DM, 2015, ENVIRON MODELL SOFTW, V63, P217, DOI 10.1016/j.envsoft.2014.10.002 Summers DM, 2012, GLOBAL CHANGE BIOL, V18, P2335, DOI 10.1111/j.1365-2486.2012.02700.x Swart RJ, 2004, GLOBAL ENVIRON CHANG, V14, P137, DOI 10.1016/j.gloenvcha.2003.10.002 Swetnam RD, 2011, J ENVIRON MANAGE, V92, P563, DOI 10.1016/j.jenvman.2010.09.007 Thomson AM, 2010, P NATL ACAD SCI USA, V107, P19633, DOI 10.1073/pnas.0910467107 UNEP (United Nations Environment Programme), 2012, GEO5 GLOB ENV OUTL United Nations, 2013, WORLD POP PROSP 2012 Van Asselen S, 2013, GLOBAL CHANGE BIOL, V19, P3648, DOI 10.1111/gcb.12331 van der Werf E, 2009, AGR ECON-BLACKWELL, V40, P507, DOI 10.1111/j.1574-0862.2009.00394.x van Dijk AIJM, 2011, HYDROL EARTH SYST SC, V15, P39, DOI 10.5194/hess-15-39-2011 van Dijk AJJ. M., 2010, 4 CSIRO WOAT HLTH CO van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P5, DOI 10.1007/s10584-011-0148-z Verburg PH, 2008, ANN REGIONAL SCI, V42, P57, DOI 10.1007/s00168-007-0136-4 Verburg PH, 2013, LANDSCAPE ECOL, V28, P1067, DOI 10.1007/s10980-012-9745-0 Verburg PH, 2012, LANDSCAPE ECOL, V27, P473, DOI [10.1007/s10980-012-9715-6, 10.1007/s10980-012-9721-8] Verburg PH, 2010, LANDSCAPE ECOL, V25, P217, DOI 10.1007/s10980-009-9347-7 Verburg PH, 2009, LANDSCAPE ECOL, V24, P1167, DOI 10.1007/s10980-009-9355-7 Verburg PH, 2006, AGR ECOSYST ENVIRON, V114, P39, DOI 10.1016/j.agee.2005.11.024 Warmink JJ, 2010, ENVIRON MODELL SOFTW, V25, P1518, DOI 10.1016/j.envsoft.2010.04.011 Watanabe M, 2010, J CLIMATE, V23, P6312, DOI 10.1175/2010JCLI3679.1 Wise M, 2009, SCIENCE, V324, P1183, DOI 10.1126/science.1168475 Yang WH, 2010, ECOL ECON, V69, P680, DOI 10.1016/j.ecolecon.2009.11.028 Zhang L, 2001, WATER RESOUR RES, V37, P701, DOI 10.1029/2000WR900325 Zhao G, 2015, GCB BIOENERGY, V7, P479, DOI 10.1111/gcbb.12145 Zhao G, 2013, GLOBAL CHANGE BIOL, V19, P1585, DOI 10.1111/gcb.12145 Zhao G, 2013, ENVIRON MODELL SOFTW, V41, P231, DOI 10.1016/j.envsoft.2012.08.007 Zhao G, 2012, COMPUT ELECTRON AGR, V89, P94, DOI 10.1016/j.compag.2012.08.007 Zurek MB, 2007, TECHNOL FORECAST SOC, V74, P1282, DOI 10.1016/j.techfore.2006.11.005 NR 188 TC 27 Z9 29 U1 5 U2 95 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-3780 EI 1872-9495 J9 GLOBAL ENVIRON CHANG JI Glob. Environ. Change-Human Policy Dimens. PD MAY PY 2016 VL 38 BP 130 EP 152 DI 10.1016/j.gloenvcha.2016.03.002 PG 23 WC Environmental Sciences; Environmental Studies; Geography SC Environmental Sciences & Ecology; Geography GA DL8IS UT WOS:000375886300014 OA Other Gold DA 2019-04-09 ER PT J AU Chaudhary, A Kastner, T AF Chaudhary, Abhishek Kastner, Thomas TI Land use biodiversity impacts embodied in international food trade SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS LA English DT Article DE Biodiversity; Agriculture; Global trade; Land use; Sustainability; Consumption ID SPECIES-AREA MODELS; TERRESTRIAL BIODIVERSITY; ENVIRONMENTAL IMPACTS; FOOTPRINT; HUMANITY; LIFE; EXTINCTION; LANDSCAPES; HOTSPOTS; DRIVES AB Agricultural land use to meet the demands of a growing population, changing diets, lifestyles and biofuel production is a significant driver of biodiversity loss. Globally applicable methods are needed to assess biodiversity impacts hidden in internationally traded food items. We used the countryside species area relationship (SAR) model to estimate the mammals, birds, amphibians and reptiles species lost (i.e. species 'committed to extinction') due to agricultural land use within each of the 804 terrestrial ecoregion. These species lost estimates were combined with high spatial resolution global maps of crop yields to calculate species lost per ton for 170 crops in 184 countries. Finally, the impacts per ton were linked with the bilateral trade data of crop products between producing and consuming countries from FAO, to calculate the land use biodiversity impacts embodied in international crop trade and consumption. We found that 83% of total species loss is incurred due to agriculture land use devoted for domestic consumption whereas 17% is due to export production. Exports from Indonesia to USA and China embody highest impacts (20 species lost at the regional level each). In general, industrialized countries with high per capita GDP tend to be major net importers of biodiversity impacts from developing tropical countries. Results show that embodied land area is not a good proxy for embodied biodiversity impacts in trade flows, as crops occupying little global area such as sugarcane, palm oil, rubber and coffee have disproportionately high biodiversity impacts. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Chaudhary, Abhishek] ETH, Inst Environm Engn, CH-8093 Zurich, Switzerland. [Kastner, Thomas] Alpen Adria Univ Klagenfurt, Inst Social Ecol Vienna, Schottenfeldgasse 29, A-1070 Vienna, Austria. RP Chaudhary, A (reprint author), ETH, Inst Environm Engn, CH-8093 Zurich, Switzerland. EM abhishek@ifu.baug.ethz.ch RI Kastner, Thomas/C-6346-2012 OI Kastner, Thomas/0000-0002-8155-136X; Vienna, Social Ecology/0000-0003-1345-5461 FU European Research Council Starting Grant LUISE [263522]; National Research Programme "Resource Wood" by the Swiss National Science Foundation [NRP 66, 136612] FX TIC acknowledges funding by the European Research Council Starting Grant LUISE (263522). AC was funded within the National Research Programme "Resource Wood" (NRP 66) by the Swiss National Science Foundation (project no. 136612). CR Alkemade R, 2009, ECOSYSTEMS, V12, P374, DOI 10.1007/s10021-009-9229-5 [Anonymous], 2006, ONL DAT SPEC DISTR V Brooks TM, 2002, CONSERV BIOL, V16, P909, DOI 10.1046/j.1523-1739.2002.00530.x Bruckner M, 2015, ECOL ECON, V114, P11, DOI 10.1016/j.ecolecon.2015.03.008 Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148 Cassidy ES, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/034015 Ceballos G, 2015, SCI ADV, V1, DOI 10.1126/sciadv.1400253 Chaudhary A, 2015, ENVIRON SCI TECHNOL, V49, P9987, DOI 10.1021/acs.est.5b02507 Cohen MA, 2012, ENERG ECON, V34, pS53, DOI 10.1016/j.eneco.2012.08.032 D'Odorico P, 2014, EARTHS FUTURE, V2, P458, DOI 10.1002/2014EF000250 Drakare S, 2006, ECOL LETT, V9, P215, DOI 10.1111/j.1461-0248.2005.00848.x Ellis EC, 2008, FRONT ECOL ENVIRON, V6, P439, DOI 10.1890/070062 Erb KH, 2009, ECOL ECON, V69, P328, DOI 10.1016/j.ecolecon.2009.06.025 Fader M, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014046 FAOSTAT, 2015, AGR FISH FOR NUTR Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772 Gibbs HK, 2015, SCIENCE, V347, P377, DOI 10.1126/science.aaa0181 Gibbs H. K., 2015, CONSERV LETT Gibson L, 2011, NATURE, V478, P378, DOI 10.1038/nature10425 Godar J, 2015, ECOL ECON, V112, P25, DOI 10.1016/j.ecolecon.2015.02.003 Guilherme JL, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0073619 Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 Hooper DU, 2012, NATURE, V486, P105, DOI 10.1038/nature11118 Hudson LN, 2014, ECOL EVOL, V4, P4701, DOI 10.1002/ece3.1303 IMF, 2011, WORLD EC OUTL DAT IUCN (International Union for the Conservation of Nature), 2014, IUCN RED LIST THREAT Karp DS, 2012, ECOL LETT, V15, P963, DOI 10.1111/j.1461-0248.2012.01815.x Kastner T, 2014, ECOL ECON, V104, P140, DOI 10.1016/j.ecolecon.2013.12.003 Kastner T, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034015 Kastner T, 2011, ECOL ECON, V70, P1032, DOI 10.1016/j.ecolecon.2011.01.012 Koh LP, 2010, CONSERV BIOL, V24, P994, DOI 10.1111/j.1523-1739.2010.01464.x Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Lenzen M, 2007, ECOL ECON, V61, P27, DOI 10.1016/j.ecolecon.2006.05.018 Liu L, 2015, WIRES CLIM CHANGE, V6, P1, DOI 10.1002/wcc.325 MacDonald GK, 2015, BIOSCIENCE, V65, P275, DOI 10.1093/biosci/biu225 MacDonald GK, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/044024 Mace GM, 2003, SCIENCE, V300, P1707, DOI 10.1126/science.1085510 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING BI Monfreda C, 2008, GLOB BIOGEOCHEM CYCL, V22 Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420 Newbold T, 2015, NATURE, V520, P45, DOI 10.1038/nature14324 Olson DM, 2001, BIOSCIENCE, V51, P933, DOI 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2 Peano L., 2012, P 2 LCA C, V6, P7 Pereira HM, 2006, ECOLOGY, V87, P1877, DOI 10.1890/0012-9658(2006)87[1877:MBDICL]2.0.CO;2 Pereira HM, 2014, CONSERV BIOL, V28, P874, DOI [10.1111/cobi.12273, 10.1111/cobi.12289] Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Pfister S, 2011, ENVIRON SCI TECHNOL, V45, P5761, DOI 10.1021/es1041755 Pradhan P, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0129487 Proenca V, 2013, BASIC APPL ECOL, V14, P102, DOI 10.1016/j.baae.2012.10.010 Rudel TK, 2009, P NATL ACAD SCI USA, V106, P20675, DOI 10.1073/pnas.0812540106 Sorensen T., 1948, BIOL SKR K DAN VIDEN, V5, P4 Tan MQB, 2014, J CLEAN PROD, V72, P76, DOI 10.1016/j.jclepro.2012.09.035 Tanentzap AJ, 2015, PLOS BIOL, V13, DOI 10.1371/journal.pbio.1002242 Tittensor DP, 2014, SCIENCE, V346, P241, DOI 10.1126/science.1257484 Wearn OR, 2012, SCIENCE, V337, P228, DOI 10.1126/science.1219013 Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 Wiedmann T, 2011, ECOL ECON, V70, P1937, DOI 10.1016/j.ecolecon.2011.06.014 Yu Y, 2013, GLOBAL ENVIRON CHANG, V23, P1178, DOI 10.1016/j.gloenvcha.2013.04.006 NR 58 TC 36 Z9 37 U1 11 U2 79 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-3780 EI 1872-9495 J9 GLOBAL ENVIRON CHANG JI Glob. Environ. Change-Human Policy Dimens. PD MAY PY 2016 VL 38 BP 195 EP 204 DI 10.1016/j.gloenvcha.2016.03.013 PG 10 WC Environmental Sciences; Environmental Studies; Geography SC Environmental Sciences & Ecology; Geography GA DL8IS UT WOS:000375886300018 HC Y HP N DA 2019-04-09 ER PT J AU Lafortezza, R Chen, JQ AF Lafortezza, Raffaele Chen, Jiquan TI The provision of ecosystem services in response to global change: Evidences and applications SO ENVIRONMENTAL RESEARCH LA English DT Article DE Ecosystem services; Global change; Environmental resources; Landscape-Scale modeling; Nature-Based Solutions ID CARBON SEQUESTRATION; FOREST MANAGEMENT; BIODIVERSITY CONSERVATION; URBAN INTERFACES; LANDSCAPE; FRAMEWORK; STORAGE; FRAGMENTATION; DEFORESTATION; TRADEOFFS AB As a consequence of the global increase in economic and societal prosperity, ecosystems and natural resources have been substantially exploited, degraded, or even destroyed in the last century. To prevent further deprivation of the quality of ecosystems, the ecosystem services concept has become a central issue in environmental studies. A growing number of environmental agencies and organizations worldwide are now embracing integrated approaches to plan and manage ecosystems, sharing a goal to maintain the long-term provision of ecosystem services for sustainability. A daunting challenge in this process is to move from general pronouncements about the tremendous benefits that ecosystems provide to society to defensible assessments of their services. In other words, we must move beyond the scientific evidences of the ecosystem services concept to its practical applications. In this work, we discuss the theoretical foundations and applications of ecosystem services with a focus on the assessment of ecosystem service trade-offs and synergies at various spatial and temporal scales. Here, we offer examples of the main factors related to land use management that may affect the provision of ecosystem services and provide direction for future research on ecosystem services and related nature-based solutions. We also provide a briefing on the major topics covered in this Special Issue, which focuses on the provision of ecosystem services in the context of global change. (C) 2016 Elsevier Inc. All rights reserved. C1 [Lafortezza, Raffaele] Univ Bari A Moro, Dept Agr & Environm Sci, Via Amendola 165-A, I-70126 Bari, Italy. [Lafortezza, Raffaele; Chen, Jiquan] Michigan State Univ, CGCEO Geog, E Lansing, MI 48823 USA. RP Lafortezza, R (reprint author), Univ Bari A Moro, Dept Agr & Environm Sci, Via Amendola 165-A, I-70126 Bari, Italy. EM raffaele.lafortezza@uniba.it RI Lafortezza, Raffaele/G-2104-2018; Chen, Jiquan/D-1955-2009 OI Lafortezza, Raffaele/0000-0003-4642-8435; FU University of Bari, Italy; CGCEO at Michigan State University FX This Special Issue is based on the symposium "Global Change Research 2014 - Coupled Natural and Human Systems" held in Ostuni, Italy, September 2014, sponsored by the University of Bari, Italy and the CGCEO at Michigan State University. We wish to express our thanks to Dr. Jose Domingo, Editor-in-Chief of Environmental Research, for supporting this Special Issue and providing guidance throughout the review process. CR Alig RJ, 2006, J ENVIRON QUAL, V35, P1389, DOI 10.2134/jeq2005.0154 Andam KS, 2010, P NATL ACAD SCI USA, V107, P9996, DOI 10.1073/pnas.0914177107 Barlow J, 2007, P NATL ACAD SCI USA, V104, P18555, DOI 10.1073/pnas.0703333104 Bonan Gordon B., 2008, SCIENCE, V320, P1444 Bottalico F, 2016, ENVIRON RES, V144, P72, DOI 10.1016/j.envres.2015.10.025 Bunker DE, 2005, SCIENCE, V310, P1029, DOI 10.1126/science.1117682 Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106 Carrus G, 2015, LANDSCAPE URBAN PLAN, V134, P221, DOI 10.1016/j.landurbplan.2014.10.022 Chapin FS, 2008, FRONT ECOL ENVIRON, V6, P313, DOI 10.1890/080005 Chazdon RL, 2008, SCIENCE, V320, P1458, DOI 10.1126/science.1155365 Chen JQ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/8/085003 Chen JQ, 2015, BIOSCIENCE, V65, P559, DOI 10.1093/biosci/biv050 Chen JQ, 2008, J PLANT ECOL, V1, P79, DOI 10.1093/jpe/rtn007 Corona P, 2016, ENVIRON RES, V144, P8, DOI 10.1016/j.envres.2015.10.017 Daily GC, 2008, P NATL ACAD SCI USA, V105, P9455, DOI 10.1073/pnas.0804960105 de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7 Diaz S, 2009, CURR OPIN SUST, V1, P55, DOI 10.1016/j.cosust.2009.08.001 Elia M, 2014, LANDSCAPE ECOL, V29, P1771, DOI 10.1007/s10980-014-0070-7 Elia M, 2012, FOREST ECOL MANAG, V263, P262, DOI 10.1016/j.foreco.2011.09.034 Franklin JF, 2013, J FOREST, V111, P429, DOI 10.5849/jof.13-071 Girvetz EH, 2008, LANDSCAPE URBAN PLAN, V86, P205, DOI 10.1016/j.landurbplan.2008.02.007 Goldman RL, 2009, ANN NY ACAD SCI, V1162, P63, DOI 10.1111/j.1749-6632.2009.04151.x Han JJ, 2016, ENVIRON RES, V144, P64, DOI 10.1016/j.envres.2015.09.002 Harrington R, 2010, BIODIVERS CONSERV, V19, P2773, DOI 10.1007/s10531-010-9834-9 Imai N, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0008267 Krishnaswamy J, 2009, REMOTE SENS ENVIRON, V113, P857, DOI 10.1016/j.rse.2008.12.011 Lafortezza R, 2015, ECOL INDIC, V48, P342, DOI 10.1016/j.ecolind.2014.08.034 Lafortezza R, 2013, IFOREST, V6, P342, DOI 10.3832/ifor0960-006 Lafortezza R, 2010, GLOBAL ECOL BIOGEOGR, V19, P741, DOI 10.1111/j.1466-8238.2010.00542.x MEA Millenium Ecosystem Assessment, 2005, EC HUM WELL BEING BI Moran EE, 2016, ENVIRON RES, V144, P1, DOI 10.1016/j.envres.2015.09.019 Naidoo R, 2008, P NATL ACAD SCI USA, V105, P9495, DOI 10.1073/pnas.0707823105 Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023 Nelson E, 2008, P NATL ACAD SCI USA, V105, P9471, DOI 10.1073/pnas.0706178105 Ostrom E, 2009, SCIENCE, V325, P419, DOI 10.1126/science.1172133 PLANTINGA A.J., 1994, NAT RESOUR MODEL, V8, P373 Qu LP, 2016, ENVIRON RES, V144, P39, DOI 10.1016/j.envres.2015.09.004 Raudsepp-Hearne C, 2010, P NATL ACAD SCI USA, V107, P5242, DOI 10.1073/pnas.0907284107 Benayas JMR, 2009, SCIENCE, V325, P1121, DOI 10.1126/science.1172460 Rodriguez JP, 2006, ECOL SOC, V11 Rounsevell MDA, 2010, BIODIVERS CONSERV, V19, P2823, DOI 10.1007/s10531-010-9838-5 Sanesi G., 2009, J ARBORIC URBAN FOR, V35, P53 Schroter D, 2005, SCIENCE, V310, P1333, DOI 10.1126/science.1115233 Strassburg BBN, 2010, CONSERV LETT, V3, P98, DOI 10.1111/j.1755-263X.2009.00092.x Tallis H, 2009, FRONT ECOL ENVIRON, V7, P12, DOI 10.1890/080012 Tallis H, 2008, P NATL ACAD SCI USA, V105, P9457, DOI 10.1073/pnas.0705797105 Tejada G, 2016, ENVIRON RES, V144, P49, DOI 10.1016/j.envres.2015.10.010 Williams M, 2008, FOREST ECOL MANAG, V254, P145, DOI 10.1016/j.foreco.2007.07.033 Wu SR, 2015, INT J LIFE CYCLE ASS, V20, P1312, DOI 10.1007/s11367-015-0915-6 Zhang N, 2007, LANDSCAPE ECOL, V22, P303, DOI 10.1007/s10980-006-9027-9 NR 50 TC 24 Z9 26 U1 3 U2 72 PU ACADEMIC PRESS INC ELSEVIER SCIENCE PI SAN DIEGO PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA SN 0013-9351 EI 1096-0953 J9 ENVIRON RES JI Environ. Res. PD MAY PY 2016 VL 147 BP 576 EP 579 DI 10.1016/j.envres.2016.02.018 PG 4 WC Environmental Sciences; Public, Environmental & Occupational Health SC Environmental Sciences & Ecology; Public, Environmental & Occupational Health GA DJ5UN UT WOS:000374275700066 PM 26944091 DA 2019-04-09 ER PT J AU Stylianou, KS Heller, MC Fulgoni, VL Ernstoff, AS Keoleian, GA Jolliet, O AF Stylianou, Katerina S. Heller, Martin C. Fulgoni, Victor L., III Ernstoff, Alexi S. Keoleian, Gregory A. Jolliet, Olivier TI A life cycle assessment framework combining nutritional and environmental health impacts of diet: a case study on milk SO INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT LA English DT Article DE Dairy; Dietary guidelines; GHGE; LCA; Milk; Nutrition; Particulate matter; Sustainability ID GREENHOUSE-GAS EMISSIONS; DAIRY CONSUMPTION; FOOD-PRODUCTS; HEART-DISEASE; UNITED-STATES; RISK-FACTORS; RECOMMENDATIONS; METAANALYSIS; PATTERNS; CHOICES AB While there has been considerable effort to understand the environmental impact of a food or diet, nutritional effects are not usually included in food-related life cycle assessment (LCA). We developed a novel Combined Nutritional and Environmental Life Cycle Assessment (CONE-LCA) framework that evaluates and compares in parallel the environmental and nutritional effects of foods or diets. We applied this framework to assess human health impacts, expressed in Disability Adjusted Life Years (DALYs), in a proof-of-concept case study that investigated the environmental and nutritional human health effects associated with the addition of one serving of fluid milk to the present average adult US diet. Epidemiology-based nutritional impacts and benefits linked to milk intake, such as colorectal cancer, stroke, and prostate cancer, were compared to selected environmental impacts traditionally considered in LCA (global warming and particulate matter) carried to a human health endpoint. Considering potential human health effects related to global warming, particulate matter, and nutrition, within the context of this study, findings suggest that adding one serving of milk to the current average diet could result in a health benefit for American adults, assuming that existing foods associated with substantial health benefits are not substituted, such as fruits and vegetables. The net health benefit is further increased when considering an iso-caloric substitution of less healthy foods (sugar-sweetened beverages). Further studies are needed to test whether this conclusion holds within a more comprehensive assessment of environmental and nutritional health impacts. This case study provides the first quantitative epidemiology-based estimate of the complements and trade-offs between nutrition and environment human health burden expressed in DALYs, pioneering the infancy of a new approach in LCA. We recommend further testing of this CONE-LCA approach for other food items and diets, especially when making recommendations about sustainable diets and food choices. C1 [Stylianou, Katerina S.; Ernstoff, Alexi S.; Jolliet, Olivier] Univ Michigan, Sch Publ Hlth, Environm Hlth Sci, Ann Arbor, MI 48109 USA. [Heller, Martin C.; Keoleian, Gregory A.] Univ Michigan, Sch Nat Resources & Environm, Ctr Sustainable Syst, Ann Arbor, MI 48109 USA. [Fulgoni, Victor L., III] Nutr Impact LLC, 9725 D Dr North, Battle Creek, MI 49014 USA. [Ernstoff, Alexi S.] Tech Univ Denmark, Dept Engn Management, Quantitat Sustainabil Assessment, Prod Torvet 426, DK-2800 Lyngby, Denmark. RP Stylianou, KS (reprint author), Univ Michigan, Sch Publ Hlth, Environm Hlth Sci, Ann Arbor, MI 48109 USA. EM kstylian@umich.edu RI Ernstoff, Alexi/P-4728-2016 OI Ernstoff, Alexi/0000-0002-1114-6596; Stylianou, Katerina/0000-0001-9716-4068 FU Dairy Research Institute (DRI), part of Dairy Management Inc. (DMI) FX This work was funded by an unrestricted grant of the Dairy Research Institute (DRI), part of Dairy Management Inc. (DMI). We thank Dr. Dominik Alexander for his support in interpreting the nutritional meta-analysis. CR Abargouei AS, 2012, INT J OBESITY, V36, P1485, DOI 10.1038/ijo.2011.269 Asselin-Balencon AC, 2013, INT DAIRY J, V31, pS65, DOI 10.1016/j.idairyj.2012.09.004 Aune D, 2012, ANN ONCOL, V23, P37, DOI 10.1093/annonc/mdr269 Aune D, 2015, AM J CLIN NUTR Charles R, 2006, AGR ECOSYST ENVIRON, V113, P216, DOI 10.1016/j.agee.2005.09.014 Dougkas A, 2011, NUTR RES REV, V24, P72, DOI 10.1017/S095442241000034X Elwood PC, 2004, EUR J CLIN NUTR, V58, P718, DOI 10.1038/sj.ejcn.1601869 Fantke P, 2015, INT J LIFE CYCLE ASS, V20, P276, DOI 10.1007/s11367-014-0822-2 Frischknecht R, 2005, INT J LIFE CYCLE ASS, V10, P3, DOI 10.1065/lca2004.10.181.1 Gonzalez AD, 2011, FOOD POLICY, V36, P562, DOI 10.1016/j.foodpol.2011.07.003 Gronlund CJ, 2015, AIR QUAL ATMOS HLTH, V8, P29, DOI 10.1007/s11869-014-0283-6 Hallstrom E, 2015, J CLEAN PROD, V91, P1, DOI 10.1016/j.jclepro.2014.12.008 Han E, 2013, J ACAD NUTR DIET, V113, P43, DOI 10.1016/j.jand.2012.09.016 Heller MC, 2015, J IND ECOL, V19, P391, DOI 10.1111/jiec.12174 Heller MC, 2013, ENVIRON SCI TECHNOL, V47, P12632, DOI 10.1021/es4025113 Heller MC, 2012, SAINT MAL FRANC 8 IN, V2012, P401 Henderson A, 2013, US FLUID MILK COMPRE Hong JL, 2010, INT J LIFE CYCLE ASS, V15, P499, DOI 10.1007/s11367-010-0175-4 Humbert S, 2011, ENVIRON SCI TECHNOL, V45, P4808, DOI 10.1021/es103563z IHME, 2013, GBD COMP International Dairy Federation, 2010, COMM CARB FOOTPR APP IPCC, 2007, CLIMATE CHANGE 2007 Jolliet O, 2004, INT J LIFE CYCLE ASS, V9, P394, DOI 10.1007/BF02979083 Jolliet O, 2003, INT J LIFE CYCLE ASS, V8, P324, DOI 10.1007/BF02978505 Larsson SC, 2012, STROKE, V43, P1775, DOI 10.1161/STROKEAHA.111.641944 Lim SS, 2012, LANCET, V380, P2224, DOI 10.1016/S0140-6736(12)61766-8 Meier T, 2013, ENVIRON SCI TECHNOL, V47, P877, DOI 10.1021/es302152v Murray CJL, 2013, JAMA-J AM MED ASSOC, V310, P591, DOI 10.1001/jama.2013.13805 Murray CJL, 2012, LANCET, V380, P2197, DOI 10.1016/S0140-6736(12)61689-4 Ness AR, 2001, J EPIDEMIOL COMMUN H, V55, P379, DOI 10.1136/jech.55.6.379 Reijnders L, 2003, AM J CLIN NUTR, V78, p664S, DOI 10.1093/ajcn/78.3.664S Roy P, 2009, J FOOD ENG, V90, P1, DOI 10.1016/j.jfoodeng.2008.06.016 Saarinen M, 2012, 8 IN TC LCA AGR FOOD, P389 Schau EM, 2008, INT J LIFE CYCLE ASS, V13, P255, DOI [10.1065/lca2007.12.372, 10.1065/Ica2007.12.372] Smedman A., 2010, FOOD NUTR RES, V54, DOI 10.3402/fnr. v54i0. 5170 Thoma G, 2013, INT DAIRY J, V31, pS3, DOI 10.1016/j.idairyj.2012.08.013 United States Department of Agriculture (USDA), 2011, USDA NAT NUTR DAT ST USDA ERS, 2012, FOOD AV PER CAP DAT USDA & USHHS, 2010, DIET GUID AM 2010 van Dooren C, 2014, FOOD POLICY, V44, P36, DOI 10.1016/j.foodpol.2013.11.002 Vieux F, 2012, ECOL ECON, V75, P91, DOI 10.1016/j.ecolecon.2012.01.003 Willet W, 2012, NUTR EPIDEMIOLOGY World Cancer Research Fund/American Institute for Cancer Research, 2007, FOOD NUTR PHYS ACT P NR 43 TC 17 Z9 17 U1 3 U2 59 PU SPRINGER HEIDELBERG PI HEIDELBERG PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY SN 0948-3349 EI 1614-7502 J9 INT J LIFE CYCLE ASS JI Int. J. Life Cycle Assess. PD MAY PY 2016 VL 21 IS 5 BP 734 EP 746 DI 10.1007/s11367-015-0961-0 PG 13 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA DJ6NL UT WOS:000374330100012 DA 2019-04-09 ER PT J AU Nghiem, TPL Carrasco, LR AF Nghiem, T. P. L. Carrasco, L. R. TI Mobile Applications to Link Sustainable Consumption with Impacts on the Environment and Biodiversity SO BIOSCIENCE LA English DT Article DE certification; ethical consumption; green labels; tropical deforestation ID CONSERVATION; WORLD; CERTIFICATION; BENEFITS; WILDLIFE; TRADE AB Ethical consumption is becoming increasingly important to reconcile global agricultural production and biodiversity conservation. Smartphones equipped with sustainability applications ("apps") could help connect consumer decisions with their environmental and biodiversity impacts. We review the existing apps for sustainable consumption to assess their transparency, their authoritativeness, whether the connections between consumption and biodiversity impacts are available to consumers, and whether sustainability ratings are consistent. We found 32 apps that met our search criteria. Food and service products were the most commonly assessed, the sustainability assessment criteria were not publicly accessible for half of the apps, and few links between consumption and biodiversity conservation were made. An ideal app would need to overcome the currently scarce official authoritativeness and use transparent and objective sustainability ratings. The potential of mobile apps for conservation is large and untapped, representing an alternative to supplier-focused, on-the-ground interventions. C1 [Nghiem, T. P. L.; Carrasco, L. R.] Natl Univ Singapore, Dept Biol Sci, Singapore 117548, Singapore. RP Nghiem, TPL; Carrasco, LR (reprint author), Natl Univ Singapore, Dept Biol Sci, Singapore 117548, Singapore. EM nghphuongle@nus.edu.sg; dbsctlr@nus.edu.sg FU Tier 2 grant from the Ministry of Education, Singapore [R154000574112] FX This research was funded by Tier 2 grant R154000574112 from the Ministry of Education, Singapore. CR Baird IG, 2011, ANN ASSOC AM GEOGR, V101, P337, DOI 10.1080/00045608.2010.544965 Blackman A, 2011, CONSERV BIOL, V25, P1176, DOI 10.1111/j.1523-1739.2011.01774.x Brook BW, 2003, NATURE, V424, P420, DOI 10.1038/nature01795 Butchart SHM, 2010, SCIENCE, V328, P1164, DOI 10.1126/science.1187512 Carrasco LR, 2014, SCIENCE, V346, P38, DOI 10.1126/science.1256685 De Vos JM, 2015, CONSERV BIOL, V29, P452, DOI 10.1111/cobi.12380 Deloitte Touche Tohmatsu Limited, 2015, GLOB POW CONS PROD Dinerstein E, 2013, CONSERV BIOL, V27, P14, DOI 10.1111/j.1523-1739.2012.01959.x Fitzherbert EB, 2008, TRENDS ECOL EVOL, V23, P538, DOI 10.1016/j.tree.2008.06.012 Gerland P, 2014, SCIENCE, V346, P234, DOI 10.1126/science.1257469 Graham E. A., 2011, EOS, V92, P313, DOI DOI 10.1029/2011E0380002 Gross M, 2014, CURR BIOL, V24, pR629, DOI 10.1016/j.cub.2014.07.005 Hummels D, 2001, J INT ECON, V54, P75, DOI 10.1016/S0022-1996(00)00093-3 Ibanez L, 2008, ENVIRON RESOUR ECON, V40, P233, DOI 10.1007/s10640-007-9150-3 Jenkins CN, 2013, P NATL ACAD SCI USA, V110, pE2602, DOI 10.1073/pnas.1302251110 Kaiser MJ, 2006, CONSERV BIOL, V20, P392, DOI 10.1111/j.1523-1739.2006.00319.x Knight E, 2014, JMIR MHEALTH UHEALTH, V3 Lee JSH, 2014, CONSERV LETT, V7, P25, DOI 10.1111/conl.12039 Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Liu JG, 2003, NATURE, V421, P530, DOI 10.1038/nature01359 Milder JC, 2010, ECOL SOC, V15 Moher D, 2009, ANN INTERN MED, V151, P264, DOI 10.7326/0003-4819-151-4-200908180-00135 Myers RA, 2003, NATURE, V423, P280, DOI 10.1038/nature01610 Nghiem LTP, 2012, SCIENCE, V338, P192, DOI 10.1126/science.338.6104.192-b Nunes PALD, 2005, BIODIVERS CONSERV, V14, P2009, DOI 10.1007/s10531-004-2529-3 Oskamp S, 2000, J SOC ISSUES, V56, P373, DOI 10.1111/0022-4537.00173 Papworth SK, 2015, CONSERV BIOL, V29, P825, DOI 10.1111/cobi.12455 Parguel B, 2011, J BUS ETHICS, V102, P15, DOI 10.1007/s10551-011-0901-2 Pirard R, 2015, 132 CIFOR Rex E, 2007, J CLEAN PROD, V15, P567, DOI 10.1016/j.jclerpo.2006.05.013 Seyfang G, 2005, ENVIRON POLIT, V14, P290, DOI 10.1080/096440105000055209 Tittensor DP, 2014, SCIENCE, V346, P241, DOI 10.1126/science.1257484 Toner K, 2014, ENVIRON BEHAV, V46, P24, DOI 10.1177/0013916512451902 Tscharntke T, 2012, BIOL CONSERV, V151, P53, DOI 10.1016/j.biocon.2012.01.068 Upham P, 2011, J CLEAN PROD, V19, P348, DOI 10.1016/j.jclepro.2010.05.014 Verissimo Diogo, 2014, Journal of Threatened Taxa, V6, P6529 Ward J, 2011, MEDIA CULT SOC, V33, P399, DOI 10.1177/0163443710394900 Watts Sussman S., 2011, 1 INT C SOC EC SOTIC Wilcove DS, 2010, BIODIVERS CONSERV, V19, P999, DOI 10.1007/s10531-009-9760-x Young W, 2010, SUSTAIN DEV, V18, P20, DOI 10.1002/sd.394 NR 40 TC 3 Z9 3 U1 0 U2 12 PU OXFORD UNIV PRESS PI OXFORD PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND SN 0006-3568 EI 1525-3244 J9 BIOSCIENCE JI Bioscience PD MAY PY 2016 VL 66 IS 5 BP 384 EP 392 DI 10.1093/biosci/biw016 PG 9 WC Biology SC Life Sciences & Biomedicine - Other Topics GA DL2GW UT WOS:000375452600006 OA Bronze DA 2019-04-09 ER PT J AU van Weeghel, HJE Bos, AP Spoelstra, SF Koerkamp, PWGG AF van Weeghel, H. J. Ellen Bos, A. P. (Bram) Spoelstra, Sierk F. Koerkamp, Peter W. G. Groot TI Involving the animal as a contributor in design to overcome animal welfare related trade-offs: The dust bath unit as an example SO BIOSYSTEMS ENGINEERING LA English DT Article DE Animal behaviour; Engineering design; Trade-offs; Reflexive Interactive Design (RIO); Sustainable development; Animal production systems ID BODY-WEIGHT GAIN; LAYING HENS; PRODUCTION SYSTEMS; ANTIBODY-RESPONSES; EGG-PRODUCTION; DUSTBATHING BEHAVIOR; POSITIVE WELFARE; HOUSING SYSTEMS; AIRBORNE DUST; FARM-ANIMALS AB Allowing farm animals to have active control and influence over their environment through the expression of intrinsically motivated behaviours contributes to their (positive) welfare. However, farm animals are predominantly seen as passive receivers of what husbandry systems should provide for them. Additionally, designers and engineers of farming systems neglect the animals' potential in the design of husbandry systems, resulting in disadvantageous trade-offs between animal welfare and economic and environmental sustainability aspects. This paper describes, through the application of an interactive structured design approach, how laying hens can actively contribute to the functioning of the husbandry system by exercising their own goals. The ambition of this research was to allow animals to contribute to creating opportunities that might overcome existing trade-offs between animal welfare and other sustainability goals. The Reflexive Interactive Design approach was applied to achieve this ambition. This paper presents the methodological steps of the design process to contribute to the reduction of the (fine) dust problem in laying hen husbandry using the dust bath unit as an example. Also, this paper describes how we incorporated the laying hen as a contributor in the design process. We show that facilitating intrinsically motivated laying hen dust bathing behaviour can simultaneously resolve the environmental dust problem experienced in loose housing systems. (C) 2016 IAgrE. Published by Elsevier Ltd. All rights reserved. C1 [van Weeghel, H. J. Ellen; Bos, A. P. (Bram); Spoelstra, Sierk F.; Koerkamp, Peter W. G. Groot] Wageningen UR Livestock Res, POB 338, NL-6700 AH Wageningen, Netherlands. [van Weeghel, H. J. Ellen; Koerkamp, Peter W. G. Groot] Wageningen Univ, Farm Technol Grp, POB 16, NL-6700 AA Wageningen, Netherlands. RP van Weeghel, HJE (reprint author), Wageningen UR Livestock Res, POB 338, NL-6700 AH Wageningen, Netherlands. EM ellen.vanweeghel@wur.nl OI Bos, Abraham Paulus/0000-0002-4711-0384 FU Dutch Ministry of Economic Affairs, Agriculture and Innovation [KB-12-002.04-004] FX We thank Nanda Ursinus, Bart Bremmer and Jessica Cornelissen for their vision on involving animals in the design of farming systems, their constructive comments were very helpful. This research was financially supported by the Dutch Ministry of Economic Affairs, Agriculture and Innovation as part of project KB-12-002.04-004. CR Aamink A. J. A., 2010, INT S AIR QUAL MAN M [Anonymous], 2001, J APPL ANIM WELF SCI, V4, P3, DOI DOI 10.1207/S15327604JAWS0401_ Baxter EM, 2011, ANIMAL, V5, P580, DOI 10.1017/S1751731110002272 BAXTER MR, 1992, FARM ANIMALS AND THE ENVIRONMENT, P67 Blokhuis HJ, 2007, WORLD POULTRY SCI J, V63, P101, DOI 10.1079/WPS2006132 Boissy A, 2007, PHYSIOL BEHAV, V92, P375, DOI 10.1016/j.physbeh.2007.02.003 Bos AP, 2009, OUTLOOK AGR, V38, P137, DOI 10.5367/000000009788632386 Bos A. P., 2009, TRANSITIONS SUSTAINA, P219 Bos A. P., 2004, BEN KWESTIE BEHEERSI Bos A. P., 2008, SOCIAL EPISTEMOLOGY, V22, P29 Bos A. P., 2012, REFLEXIVE DESIGN SUS Bos AP, 2009, COW POWER DESIGNS SY Bracke MBM, 1999, NETH J AGR SCI, V47, P307 Brambell F. W. R., 1965, CMND28, V28 Cambra-Lopez M, 2011, ATMOS ENVIRON, V45, P694, DOI 10.1016/j.atmosenv.2010.10.018 Cambra-Lopez M, 2010, ENVIRON POLLUT, V158, P1, DOI 10.1016/j.envpol.2009.07.011 Centraal Bureau voor de Statistiek, 2015, CBS ZIEKT LAAGST PUN Cross N., 2008, ENG DESIGN METHODS S DAWKINS MS, 1989, BRIT POULTRY SCI, V30, P413, DOI 10.1080/00071668908417163 de Groot RS, 2002, ECOL ECON, V41, P393, DOI 10.1016/S0921-8009(02)00089-7 Dekker SEM, 2012, BRIT POULTRY SCI, V53, P731, DOI 10.1080/00071668.2012.749342 Dekker SEM, 2011, LIVEST SCI, V139, P109, DOI 10.1016/j.livsci.2011.03.011 Donham K., 1999, P INT S DUST CONTR A, P93 Edgar Joanne L, 2013, Animals (Basel), V3, P584, DOI 10.3390/ani3030584 Eekels J, 2002, CHEM ENG RES DES, V80, P615, DOI 10.1205/026387602760312818 Ekesbo I., 2011, FARM ANIMAL BEHAV CH FAO (Food and Agriculture Organization), 2009, GLOB AGR 2050 FAWC, 2011, EC FARM AN WELF Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8 Gezondheidsraad, 2010, 201004OSH HLTH COUNC Gezondheidsraad, 2012, GEZ ROND VEEH Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Groot Koerkamp P. W. G., 2003, LIVESTOCK PRODUCTION, V84, P157 Groot Koerkamp P. W. G., 1998, THESIS WAGENINGEN U Groot Koerkamp P. W. G., 2003, POEH WEDERKERIGE TEC Havenstein G. B., 2006, LOHMANN INF, V41, P30 Houden van Hennen, 2005, PROGR DEM BAS NEEDS Houden van Hennen Projectteam, 2004, LAYING HEN HUSB HAPP Hovi M, 2003, LIVEST PROD SCI, V80, P41, DOI 10.1016/S0301-6226(02)00320-2 Ingenbleek Paul T M, 2013, Animals (Basel), V3, P808, DOI 10.3390/ani3030808 Janssen A. P. H. M., 2011, BROILERS TASTE SUSTA JENSEN P, 1993, APPL ANIM BEHAV SCI, V37, P161, DOI 10.1016/0168-1591(93)90108-2 KEELING LJ, 1994, APPL ANIM BEHAV SCI, V39, P131, DOI 10.1016/0168-1591(94)90133-3 Kemp B, 2012, REPROD DOMEST ANIM, V47, P51, DOI 10.1111/j.1439-0531.2012.02108.x Keoleian G.A., 1993, LIFE CYCLE DESIGN GU Koerkamp PWGG, 2008, NJAS-WAGEN J LIFE SC, V55, P113 Koerkamp PWGG, 2006, NJAS-WAGEN J LIFE SC, V54, P129 Kristensen HH, 2007, APPL ANIM BEHAV SCI, V103, P75, DOI 10.1016/j.applanim.2006.04.017 Lai HTL, 2012, POULTRY SCI, V91, P604, DOI 10.3382/ps.2011-01829 Lai HTL, 2011, POULTRY SCI, V90, P337, DOI 10.3382/ps.2010-00997 Lai HTL, 2009, POULTRY SCI, V88, P1838, DOI 10.3382/ps.2009-00129 Langbein J, 2009, APPL ANIM BEHAV SCI, V120, P150, DOI 10.1016/j.applanim.2009.07.006 Le Bouquin S, 2013, POULTRY SCI, V92, P2827, DOI 10.3382/ps.2013-03032 Leenstra F. R., 2007, DISCOMFORT CATTLE PI Lelieveld J, 2015, NATURE, V525, P367, DOI 10.1038/nature15371 Mancini C., 2013, CHI 2013 HUM FACT CO Meehan CL, 2007, APPL ANIM BEHAV SCI, V102, P246, DOI 10.1016/j.applanim.2006.05.031 Mellor DJ, 2012, NEW ZEAL VET J, V60, P1, DOI 10.1080/00480169.2011.619047 Mench JA, 2014, POULTRY SCI, V93, P794, DOI 10.3382/ps.2013-03549 Mershon J. D., 1997, BPWIN METHODS GUIDE Miele M., 2001, 983678 EU FAIRCT U P Ministerie van Infrastructuur en Milieu, 2014, FIJNST LEGK Ministerie van Infrastructuur en Milieu, 2015, BESL EM HUISV Moesta A, 2008, APPL ANIM BEHAV SCI, V115, P160, DOI 10.1016/j.applanim.2008.06.005 Mosquera J., 2009, FIJNSTOFEMISSIE UIT, P26 Puppe B, 2007, APPL ANIM BEHAV SCI, V105, P75, DOI 10.1016/j.applanim.2006.05.016 Rauw WM, 1998, LIVEST PROD SCI, V56, P15, DOI 10.1016/S0301-6226(98)00147-X Sambrook TD, 1997, ANIM WELFARE, V6, P207 Scholz B, 2011, POULTRY SCI, V90, P2433, DOI 10.3382/ps.2011-01480 Seedorf J, 1998, J AGR ENG RES, V70, P97, DOI 10.1006/jaer.1997.0281 SEWERIN K, 2002, THESIS U VET MED HAN Shimmura T, 2010, BRIT POULTRY SCI, V51, P31, DOI 10.1080/00071660903421167 Siers F. J., 2004, METHODISCH ONTWERPEN Spoelstra SF, 2013, WORLD POULTRY SCI J, V69, P279, DOI 10.1017/S0043933913000305 Steinfeld H., 2006, LIVESTOCKS LONG SHAD U.S. Air Force, 1981, FUNCT MOD MAN IDEFO, VIV, P45433 UDV., 2013, 4E VOORTG UITV DUURZ Van Eijk O. N. M., 2010, VARKANSEN SPRINGPLAN Van Eijk O. N. M., 2009, P 9 EUR IFSA S, P434 van Mierlo B, 2013, AGR SYST, V115, P29, DOI 10.1016/j.agsy.2012.10.002 Van Rooijen J, 2005, WELFARE LAYING HENS, P110 Van Weeghel H. J. E., 2011, WELL FAIR EGGS WORKI Verburg G., 2008, COMMUNICATION Winkel A., 2009, FIJNSTOFEMISSIE UIT Winkel A, 2015, ATMOS ENVIRON, V111, P202, DOI 10.1016/j.atmosenv.2015.03.047 Young Robert J., 2003, Journal of Applied Animal Welfare Science, V6, P309, DOI 10.1207/s15327604jaws0604_5 NR 86 TC 1 Z9 1 U1 2 U2 17 PU ACADEMIC PRESS INC ELSEVIER SCIENCE PI SAN DIEGO PA 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA SN 1537-5110 EI 1537-5129 J9 BIOSYST ENG JI Biosyst. Eng. PD MAY PY 2016 VL 145 BP 76 EP 92 DI 10.1016/j.biosystemseng.2016.02.015 PG 17 WC Agricultural Engineering; Agriculture, Multidisciplinary SC Agriculture GA DL2YZ UT WOS:000375502400008 DA 2019-04-09 ER PT J AU Levy, D Reinecke, J Manning, S AF Levy, David Reinecke, Juliane Manning, Stephan TI The Political Dynamics of Sustainable Coffee: Contested Value Regimes and the Transformation of Sustainability SO JOURNAL OF MANAGEMENT STUDIES LA English DT Article DE coffee; Gramsci; passive revolution; political corporate social responsibility; sustainability; sustainability standards; value regimes ID CORPORATE SOCIAL-RESPONSIBILITY; PATH DEPENDENCE; FAIR TRADE; GOVERNANCE; BUSINESS; FIRM; PERSPECTIVE; STANDARDS; ECONOMY; LABOR AB The global coffee sector has seen a transformation towards more sustainable' forms of production, and, simultaneously, the continued dominance of mainstream coffee firms and practices. We examine this paradox by conceptualizing the underlying process of political corporate social responsibility (PCSR) as a series of long-term, multi-dimensional interactions between civil society and corporate actors, drawing from the neo-Gramscian concepts of hegemony and passive revolution. A longitudinal study of the evolution of coffee sustainability standards suggests that PCSR can be understood as a process of challenging and defending value regimes, within which viable configurations of economic models, normative-cultural values, and governance structures are aligned and stabilized. Specifically, we show how dynamics of moves and accommodations between challengers and corporate actors shape the practice and meaning of 'sustainable' coffee. The results contribute to understanding the political dynamics of CSR as a dialectic process of 'revolution/restoration', or passive revolution, whereby value regimes assimilate and adapt to potentially disruptive challenges, transforming sustainability practices and discourse. C1 Univ Massachusetts, Boston, MA 02125 USA. Univ Warwick, Coventry CV4 7AL, W Midlands, England. RP Levy, D (reprint author), Univ Massachusetts, Coll Management, 100 Morrissey Blvd, Boston, MA 02125 USA. EM David.Levy@umb.edu OI Reinecke, Juliane Theresa Uta/0000-0001-5674-4218 CR Aglietta M., 1979, THEORY CAPITALIST RE Ahlstrom J., 2008, BUSINESS STRATEGY EN, V17, P230, DOI DOI 10.1002/BSE.514 Amin Ash, 2004, BLACKWELL CULTURAL E Appadurai Arjun, 1986, SOCIAL LIFE THINGS C Arvidsson A, 2010, ORGANIZATION, V17, P637, DOI 10.1177/1350508410372512 Banerjee SB, 2008, CRITICAL SOCIOLOGY, V34, P51, DOI DOI 10.1177/0896920507084623 Bartley T, 2007, AM J SOCIOL, V113, P297, DOI 10.1086/518871 Bartley T, 2014, AM SOCIOL REV, V79, P653, DOI 10.1177/0003122414540653 Baur D, 2014, BUS SOC, V53, P157, DOI 10.1177/0007650312452868 Birkland Thomas A., 1998, J PUBLIC POLICY, V18, P53, DOI DOI 10.1017/S0143814X98000038 Bitzer V, 2008, GLOBAL ENVIRON CHANG, V18, P271, DOI 10.1016/j.gloenvcha.2008.01.002 Blumer H, 1954, AM SOCIOL REV, V19, P3, DOI 10.2307/2088165 Boltanski L, 2006, JUSTIFICATION EC WOR Braithwaite J, 2000, GLOBAL BUSINESS REGU Braithwaite V, 2009, DEFIANCE IN TAXATION AND GOVERNANCE: RESISTING AND DISMISSING AUTHORITY IN A DEMOCRACY, P1 Brammer S, 2012, SOCIO-ECON REV, V10, P3, DOI 10.1093/ser/mwr030 Brunsson N, 2012, ORGAN STUD, V33, P613, DOI 10.1177/0170840612450120 Bundy J, 2013, ACAD MANAGE REV, V38, P352, DOI 10.5465/amr.2011.0179 Callinicos A, 2010, CAP CL, V34, P491, DOI 10.1177/0309816810378265 Chambers S, 2003, ANNU REV POLIT SCI, V6, P307, DOI 10.1146/annurev.polisci.6.121901.085538 Clapp J, 1998, GLOB GOV, V4, P295, DOI 10.1163/19426720-00403004 Corbin J., 2008, BASICS QUALITATIVE R Cox R., 1987, PRODUCTION POWER WOR Cox R. W., 1996, BUSINESS STATE INT R Cutler A. Claire, 2006, GLOBAL CORPORATE POW, P199 Den Hond F, 2007, ACAD MANAGE REV, V32, P901, DOI 10.5465/AMR.2007.25275682 EDEN L, 1991, MILLENNIUM-J INT ST, V20, P197, DOI 10.1177/03058298910200021301 Edward P., 2013, HDB PHILOS FDN BUSIN, P549 Etzion D, 2010, ORGAN SCI, V21, P1092, DOI 10.1287/orsc.1090.0494 EU Commission, 2009, CONTR SUST DEV ROL F FLO, 2011, NEW PREM MIN PRIC TR Fontana B., 2006, HEGEMONY POWER CONSE, P23 Fooks G, 2013, J BUS ETHICS, V112, P283, DOI 10.1007/s10551-012-1250-5 Garud R, 2001, LEAS ORG MAN SERIES, P1 Garud R, 2010, J MANAGE STUD, V47, P760, DOI 10.1111/j.1467-6486.2009.00914.x Geels FW, 2004, RES POLICY, V33, P897, DOI 10.1016/j.respol.2004.01.015 Gereffi G, 2005, REV INT POLIT ECON, V12, P78, DOI 10.1080/09692290500049805 Gilbert DU, 2007, BUS ETHICS Q, V17, P187, DOI 10.5840/beq200717230 Gill Stephen, 2002, INT STUDIES REV, V4, P47, DOI DOI 10.1111/MISR.2002.4.ISSUE-2 Glaser B. G., 1967, DISCOVERY GROUNDED T Global Exchange, 2003, P G GIV BOOST SMALL Gramsci A., 2007, PRISON NOTEBOOKS Gramsci Antonio, 1971, SELECTIONS PRISON NO Haack P, 2012, ORGAN STUD, V33, P815, DOI 10.1177/0170840612443630 Haas P. M., 2004, GLOBAL ENVIRON POLIT, V4, P1 Habermas J., 1996, FACTS NORMS CONTRIBU Illycaffe, 2013, SUST SUPPL CHAIN PRO ISEAL, 2013, WHAT AR CRED STAND Jessop B, 2010, CRIT POLICY STUD, V3, P336, DOI 10.1080/19460171003619741 Johnson A., 2001, LEADERSHIP SOCIAL MO Khan FR, 2007, ORGAN STUD, V28, P1055, DOI 10.1177/0170840607078114 Kolk A., 2005, European Management Journal, V23, P228, DOI 10.1016/j.emj.2005.02.003 Kourula A., 2014, J BUSINESS ETHICS Laclau Ernesto, 1985, HEGEMONY SOCIALIST S Langley A, 1999, ACAD MANAGE REV, V24, P691, DOI 10.2307/259349 Langley A, 2013, ACAD MANAGE J, V56, P1, DOI 10.5465/amj.2013.4001 Levy D., 2008, OXFORD HDB CORPORATE, P432 Levy D. L., 2015, ROUTLEDGE COMPANION Levy D, 2007, ORGAN STUD, V28, P971, DOI 10.1177/0170840607078109 Levy DL, 2008, ACAD MANAGE REV, V33, P943 Levy DL, 2013, ORGANIZATION, V20, P659, DOI 10.1177/1350508413489816 Levy DL, 2010, BUS SOC, V49, P88, DOI 10.1177/0007650309345420 Levy DL, 2003, J MANAGE STUD, V40, P803, DOI 10.1111/1467-6486.00361 Lincoln Y. S, 1985, NATURALISTIC INQUIRY Livesey S. M., 2002, MANAGEMENT COMMUNICA, V15, P313, DOI [10.1177/0893318902153001, DOI 10.1177/0893318902153001] Macdonald K, 2007, THIRD WORLD Q, V28, P793, DOI 10.1080/01436590701336663 MacKay RB, 2013, ACAD MANAGE J, V56, P208, DOI 10.5465/amj.2010.0734 Maielli G, 2015, ORGAN STUD, V36, P491, DOI 10.1177/0170840614561565 Manning S, 2012, ECOL ECON, V83, P197, DOI 10.1016/j.ecolecon.2011.08.029 Margolis JD, 2003, ADMIN SCI QUART, V48, P268, DOI 10.2307/3556659 Matten D, 2005, ACAD MANAGE REV, V30, P166, DOI 10.5465/AMR.2005.15281448 Mena S, 2014, J MANAGE STUD, V51, P1091, DOI 10.1111/joms.12092 Mondelez, 2014, COFF MAD HAPP Moore JW, 2003, ORGAN ENVIRON, V16, P431, DOI 10.1177/1086026603259091 Morton AD, 2010, CAP CL, V34, P315, DOI 10.1177/0309816810378266 Mumby D, 2005, MANAGEMENT COMMUNICA, V19, P19, DOI DOI 10.1177/0893318905276558 Muradian R, 2005, WORLD DEV, V33, P2029, DOI 10.1016/j.worlddev.2005.06.007 O'Rourke D, 2006, WORLD DEV, V34, P899, DOI 10.1016/j.worlddev.2005.04.020 Ougaard M., 2006, GLOBAL CORPORATE POW, P227 Polanyi K., 1944, GREAT TRANSFORMATION Ponte S, 2002, WORLD DEV, V30, P1099, DOI 10.1016/S0305-750X(02)00032-3 Pratt MG, 2006, ACAD MANAGE J, V49, P235, DOI 10.5465/AMJ.2006.20786060 Reinecke J, 2012, ORGAN STUD, V33, P791, DOI 10.1177/0170840612443629 Sassen Saskia, 1998, GLOBALIZATION ITS DI Scherer AG, 2007, ACAD MANAGE REV, V32, P1096, DOI 10.5465/AMR.2007.26585837 Scherer AG, 2014, BUS SOC, V53, P143, DOI 10.1177/0007650313511778 Scherer AG, 2011, J MANAGE STUD, V48, P899, DOI 10.1111/j.1467-6486.2010.00950.x Scott R. W., 2005, SOCIAL MOVEMENTS ORG, P4, DOI DOI 10.1017/CBO9780511791000 Shamir R., 2004, CRITICAL SOCIOLOGY, V30, P669, DOI DOI 10.1163/1569163042119831 Sikkink Kathryn, 1998, ACTIVISTS BORDERS AD, P1 Slaughter AM, 2004, NEW WORLD ORDER, P1 Smith A., 2006, SPRU ELECT WORKING P SSI, 2014, STAT SUST IN REV 201 Strange S., 1993, MULTINATIONALS GLOBA Talbot J. M., 2004, GROUNDS AGREEMENT PO Tang Z, 2012, J MANAGE STUD, V49, P1274, DOI 10.1111/j.1467-6486.2012.01068.x TCC, 2009, TROP COMM COAL COFF Teegen H, 2004, J INT BUS STUD, V35, P463, DOI 10.1057/palgrave.jibs.8400112 Thompson DF, 2008, ANNU REV POLIT SCI, V11, P497, DOI 10.1146/annurev.polisci.11.081306.070555 Vaccaro A., 2014, ACAD MANAGEMENT J Van desVen A. H., 2002, COMPANION ORG, P867 van Wijk J, 2013, ACAD MANAGE J, V56, P358, DOI 10.5465/amj.2008.0355 Boersma FV, 2009, J BUS ETHICS, V86, P51, DOI 10.1007/s10551-008-9766-4 Vergne JP, 2010, J MANAGE STUD, V47, P736, DOI 10.1111/j.1467-6486.2009.00913.x Whelan G, 2012, BUS ETHICS Q, V22, P709, DOI 10.5840/beq201222445 Willke H, 2008, J BUS ETHICS, V81, P27, DOI 10.1007/s10551-007-9478-1 Windsor D, 2006, J MANAGE STUD, V43, P93, DOI 10.1111/j.1467-6486.2006.00584.x Young IM, 2001, POLIT THEORY, V29, P670, DOI 10.1177/0090591701029005004 NR 108 TC 28 Z9 29 U1 7 U2 54 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0022-2380 EI 1467-6486 J9 J MANAGE STUD JI J. Manage. Stud. PD MAY PY 2016 VL 53 IS 3 SI SI BP 364 EP 401 DI 10.1111/joms.12144 PG 38 WC Business; Management SC Business & Economics GA DK5RO UT WOS:000374977900004 DA 2019-04-09 ER PT J AU Arestis, P Phelps, P AF Arestis, Philip Phelps, Peter TI Endogeneity Analysis of Output Synchronization in the Current and Prospective EMU SO JCMS-JOURNAL OF COMMON MARKET STUDIES LA English DT Article DE international; business cycle; synchronization; trade intensity; endogeneity ID AREA CRITERIA; EURO AREA; TRANSMISSION; ENLARGEMENT; IMBALANCES; CYCLES; TRADE AB The sustainability of European EMU (economic and monetary union) remains an important issue in light of existing plans for enlargement. This article conducts an endogeneity analysis of output synchronization, based on panel data estimation from 1994 to 2013, for different country-groups, including core, periphery, central and eastern European countries, northern European countries and the prospective candidate countries, which are expected to adopt the euro over the coming years. The quantification of trade-related and direct spillover channels associated with monetary integration provides insight into the relative importance of direct and indirect synchronization gains arising from EMU membership. The use of amplitude and concordance measures of synchronization and a range of estimators enhances robustness. Important endogeneity implications emerge from our analysis. C1 [Arestis, Philip] Univ Cambridge, Cambridge CB2 1TN, England. [Phelps, Peter] Univ Leeds, Leeds LS2 9JT, W Yorkshire, England. RP Phelps, P (reprint author), Univ Leeds, Sch Business, Maurice Keyworth Bldg,Moorland Rd, Leeds LS2 9JT, W Yorkshire, England. EM p.phelps@leeds.ac.uk CR Aguiar-Conraria L, 2013, JCMS-J COMMON MARK S, V51, P377, DOI 10.1111/j.1468-5965.2012.02315.x Arestis P., 2010, APPL FINANCIAL EC, V20, P1479 Artis M, 2011, MANCH SCH, V79, P318, DOI 10.1111/j.1467-9957.2011.02238.x Artis MJ, 2008, ECON TRANSIT, V16, P559, DOI 10.1111/j.1468-0351.2008.00325.x BALDWIN R. E., 2006, 594 EUR CENTR BANK Baxter M, 2005, J MONETARY ECON, V52, P113, DOI 10.1016/j.jmoneco.2004.08.002 Caporale GM, 2015, J FINANC STABIL, V16, P154, DOI 10.1016/j.jfs.2014.01.003 Chakravarty S, 2004, J FINANC, V59, P1235, DOI 10.1111/j.1540-6261.2004.00661.x Chen R, 2013, ECON POLICY, V28, P101, DOI 10.1111/1468-0327.12004 De Grauwe Paul, 2012, EC MONETARY UNION De Haan J., 2007, 2112 CESIFO I European Central Bank, 2013, FIN INT EUR Fidrmuc J, 2004, CONTEMP ECON POLICY, V22, P1, DOI 10.1093/cep/byh001 Fidrmuc J, 2006, J COMP ECON, V34, P518, DOI 10.1016/j.jce.2006.06.007 Flood RP, 2010, J INT MONEY FINANC, V29, P704, DOI 10.1016/j.jimonfin.2010.01.004 Frankel JA, 1998, ECON J, V108, P1009, DOI 10.1111/1468-0297.00327 Frankel JA, 1997, EUR ECON REV, V41, P753, DOI 10.1016/S0014-2921(97)00034-2 Giavazzi F., 2010, EUROPE AND THE EURO HAUSMAN JA, 1978, ECONOMETRICA, V46, P1251, DOI 10.2307/1913827 Hayashi F., 2000, ECONOMETRICS HUBER PJ, 1964, ANN MATH STAT, V35, P73, DOI 10.1214/aoms/1177703732 Imbs J, 2010, IMF ECON REV, V58, P327, DOI 10.1057/imfer.2010.13 Kalemli-Ozcan S, 2013, J FINANC, V68, P1179, DOI 10.1111/jofi.12025 Kalemli-Ozcan S, 2013, J INT ECON, V89, P495, DOI 10.1016/j.jinteco.2012.07.001 Kose MA, 2006, J INT ECON, V68, P267, DOI 10.1016/j.jinteco.2005.07.002 Krugman P., 1993, ADJUSTMENT GROWTH EU Lane PR, 2007, J INT ECON, V73, P223, DOI 10.1016/j.jinteco.2007.02.003 Luintel KB, 2008, J DEV ECON, V86, P181, DOI 10.1016/j.jdeveco.2007.11.006 Mink M, 2012, OXFORD ECON PAP, V64, P217, DOI 10.1093/oep/gpr049 MUNDELL RA, 1961, AM ECON REV, V51, P657 Rogoff K, 2010, EXCHANGE RATE UNPUB Rose A, 2008, EURO 10 LESSONS CHAL Schmitz B, 2011, J INT MONEY FINANC, V30, P1676, DOI 10.1016/j.jimonfin.2011.08.003 Vieira C, 2012, MANCH SCH, V80, P77, DOI 10.1111/j.1467-9957.2012.02321.x NR 34 TC 2 Z9 2 U1 0 U2 7 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0021-9886 EI 1468-5965 J9 JCMS-J COMMON MARK S JI JCMS-J. Common Mark. Stud. PD MAY PY 2016 VL 54 IS 3 BP 525 EP 543 DI 10.1111/jcms.12303 PG 19 WC Economics; International Relations; Political Science SC Business & Economics; International Relations; Government & Law GA DJ6PP UT WOS:000374335700003 OA Green Published, Green Accepted DA 2019-04-09 ER PT J AU Hu, ZN Chen, YZ Yao, LM Wei, CT Li, CZ AF Hu, Zhineng Chen, Yazhen Yao, Liming Wei, Changting Li, Chaozhi TI Optimal allocation of regional water resources: From a perspective of equity-efficiency tradeoff SO RESOURCES CONSERVATION AND RECYCLING LA English DT Article DE Water allocation; Equity; Efficiency; Trade-off; Conflict ID MULTICRITERIA DECISION-MAKING; PROGRAMMING MODEL; MANAGEMENT; OPTIMIZATION; SCARCITY; DEMANDS; MARKETS; SYSTEM AB Because of the significant impact on economic development, social stability, and ecological balance, the allocation of water resources has become an issue of worldwide concern. Therefore, the efficient, equitable, and sustainable allocation of water is vital for water management authorities. With sustainability (guaranteeing the minimum ecological water needs) as the constraint, the paper aims to enhance the water management by considering equity and efficiency. A multi-objective programming model is built with the first objective being to maximize the economic benefit efficiency to allow for the development of improved water allocation strategies and with the second objective being to maximize water allocation equity (measured using the Gini coefficient). A Compromise Programming (CP) method is employed to trade off economic benefit efficiency and equity in the water allocation, which can provide relatively flexible choices and trade-offs according to the decision makers' preferences. The presented model is applied to the Qujiang river basin in China as a case study to demonstrate its feasibility, validity, and practicality, the results from which indicate the trade-off between equity and economic benefit efficiency in the model was feasible, and the conclusions are that river basin authorities need to take measures to decrease the rate of water loss and increase the available water to enhance water allocation efficiency and equity. (C) 2016 Elsevier B.V. All rights reserved. C1 [Hu, Zhineng; Yao, Liming] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610064, Peoples R China. [Hu, Zhineng; Chen, Yazhen; Yao, Liming; Wei, Changting] Sichuan Univ, Uncertainty Decis Making Lab, Chengdu 610064, Peoples R China. [Li, Chaozhi] Neijiang Survey & Design Inst Water Conservancy &, Neijiang 641000, Peoples R China. RP Yao, LM (reprint author), Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610064, Peoples R China. EM lmyao@scu.edu.cn FU National Natural Science Foundation for Young Scholars of China [71301109]; Research Foundation of Ministry of Education for the Doctoral Program of Higher Education of China [20130181110063]; Western and Frontier Region Project of Humanity and Social Sciences Research, Ministry of Education of China [13XJC630018]; Foundation for Fostering Young Scientists of Sichuan Province of China [2013DTPY0020, SKZX2015-SB87] FX This research was supported by the National Natural Science Foundation for Young Scholars of China (Grant No. 71301109), the Research Foundation of Ministry of Education for the Doctoral Program of Higher Education of China (Grant No. 20130181110063), the Western and Frontier Region Project of Humanity and Social Sciences Research, Ministry of Education of China (Grant No. 13XJC630018), the Foundation for Fostering Young Scientists of Sichuan Province of China (Grant No. 2013DTPY0020), and SKZX2015-SB87. CR Abrishamchi A, 2005, J WATER RES PLAN MAN, V131, P326, DOI 10.1061/(ASCE)0733-9496(2005)131:4(326) Babel MS, 2005, WATER RESOUR MANAG, V19, P693, DOI 10.1007/s11269-005-3282-4 BOOKER JF, 1994, J ENVIRON ECON MANAG, V26, P66, DOI 10.1006/jeem.1994.1005 Cai XM, 2001, OPER RES, V49, P235, DOI 10.1287/opre.49.2.235.13537 Cai YP, 2016, RESOUR CONSERV RECY, V108, P21, DOI 10.1016/j.resconrec.2016.01.008 Roa-Garcia MC, 2014, WATER ALTERN, V7, P298 Cullis J., 2007, 113 INT WAT MAN I DAUBERT JT, 1981, AM J AGR ECON, V63, P666, DOI 10.2307/1241209 Diaz G. E., 2000, RMGTR299 US DEP AGR Divakar L, 2011, J HYDROL, V401, P22, DOI 10.1016/j.jhydrol.2011.02.003 Dong CL, 2013, TECHNOL FORECAST SOC, V80, P749, DOI 10.1016/j.techfore.2012.09.015 DWAF (Department of Water Affairs and Forestry), 2005, POS PAP WAT IN PRESS Easter K. W., 1995, J AM WATER RESOUR AS, V3, P9 Fattahi P, 2010, WATER RESOUR MANAG, V24, P1211, DOI 10.1007/s11269-009-9492-4 Gao HC, 2014, RESOUR CONSERV RECY, V93, P50, DOI 10.1016/j.resconrec.2014.09.009 Garcia X, 2015, RESOUR CONSERV RECY, V101, P154, DOI 10.1016/j.resconrec.2015.05.015 Garrido A, 2000, ANN OPER RES, V94, P105, DOI 10.1023/A:1018965016134 Gini C, 1921, ECON J, V31, P124, DOI [DOI 10.2307/2223319, 10.2307/2223319] Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967 Golden J, 2008, J ECON EDUC, V39, P68, DOI 10.3200/JECE.39.1.68-77 Griffin RC, 2006, WATER RESOURCE EC AN HAIMES YY, 1974, WATER RESOUR RES, V10, P615, DOI 10.1029/WR010i004p00615 Higgins A, 2008, WATER RESOUR MANAG, V22, P1445, DOI 10.1007/s11269-007-9236-2 Ioslovich I, 2001, MATH COMPUT SIMULAT, V56, P347, DOI 10.1016/S0378-4754(01)00306-8 Johan F., 2012, J STAT EC METHODS, V1, P31 Kathleen BA, 2010, PROCESS SAF ENVIRON, V88, P31 Keen E. C, 2014, BACTERIOPHAGE, V4, DOI [10.4161/bact.28365, DOI 10.4161/BACT.28365] Li M, 2014, APPL MATH MODEL, V38, P4897, DOI 10.1016/j.apm.2014.03.043 Malghan D, 2010, ECOL ECON, V69, P2261, DOI 10.1016/j.ecolecon.2010.06.015 Neumayer E., 2011, UN DEV PROGR HUMAN D Raad D, 2009, INT T OPER RES, V16, P595, DOI 10.1111/j.1475-3995.2009.00705.x Rogers J. W., 2010, INT T OPER RES, V14, P25 Roozbahani R, 2015, ANN OPER RES, V229, P657, DOI 10.1007/s10479-015-1806-8 Roozbahani R, 2014, WATER RESOUR MANAG, V28, P5447, DOI 10.1007/s11269-014-0812-y Roozbahani R, 2015, ENVIRON MODELL SOFTW, V64, P18, DOI 10.1016/j.envsoft.2014.11.001 Santosh M., 2014, RESOUR CONSERV RECY, V83, P176 Simonovic S., 2010, ELECT GREEN J, V54, P601 Sun T., 2010, RESOUR CONSERV RECY, V95, P156 SUZUKI M, 1976, MANAGE SCI, V22, P1081, DOI 10.1287/mnsc.22.10.1081 Syme G. J., 1992, PERCEPTIONS FAIRNESS, P38 Syme GJ, 1999, J ENVIRON MANAGE, V57, P51, DOI 10.1006/jema.1999.0282 Tennant D.L., 1976, FISHERIES, V1, P6, DOI DOI 10.1577/1548-8446(1976)001<0006:IFRFFW>2.0.CO;2 Tsur Y., 1995, EFFICIENCY EQUITY CO Tu Y, 2015, RESOUR CONSERV RECY, V95, P156, DOI 10.1016/j.resconrec.2014.12.011 VAUX HJ, 1984, WATER RESOUR RES, V20, P785, DOI 10.1029/WR020i007p00785 Wang LZ, 2008, EUR J OPER RES, V190, P798, DOI 10.1016/j.ejor.2007.06.045 Wang YD, 2015, RESOUR CONSERV RECY, V98, P76, DOI 10.1016/j.resconrec.2015.01.005 Ward FA, 1996, WATER RESOUR BULL, V32, P1127 Young H. P., 1994, CHOLOGY, V53, P201 Zarghami M, 2008, WATER RESOUR MANAG, V22, P1017, DOI 10.1007/s11269-007-9207-7 Zeleny M., 1973, MULTIPLE CRITERIA DE, P263 Zhou YL, 2015, J HYDROL, V531, P964, DOI 10.1016/j.jhydrol.2015.10.007 NR 52 TC 21 Z9 23 U1 8 U2 58 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-3449 EI 1879-0658 J9 RESOUR CONSERV RECY JI Resour. Conserv. Recycl. PD MAY-JUN PY 2016 VL 109 BP 102 EP 113 DI 10.1016/j.resconrec.2016.02.001 PG 12 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA DK0MR UT WOS:000374607400011 DA 2019-04-09 ER PT J AU Holland, RA Scott, K Hinton, ED Austen, MC Barrett, J Beaumont, N Blaber-Wegg, T Brown, G Carter-Silk, E Cazenave, P Eigenbrod, F Hiscock, K Hooper, T Lovett, A Papathanasopoulou, E Smith, P Thomas, A Tickner, R Torres, R Taylor, G AF Holland, Robert A. Scott, Kate Hinton, Emma D. Austen, Melanie C. Barrett, John Beaumont, Nicola Blaber-Wegg, Tina Brown, Gareth Carter-Silk, Eleanor Cazenave, Pierre Eigenbrod, Felix Hiscock, Kevin Hooper, Tara Lovett, Andrew Papathanasopoulou, Eleni Smith, Pete Thomas, Amy Tickner, Rob Torres, Ricardo Taylor, Gail TI Bridging the gap between energy and the environment SO ENERGY POLICY LA English DT Article DE Ecosystem services; Energy; Sustainability; Life-cycle; MRIO ID SHORT-ROTATION COPPICE; LIFE-CYCLE ASSESSMENT; SUPPLY-AND-DEMAND; ECOSYSTEM SERVICES; LAND-USE; INTERNATIONAL-TRADE; WIND FARMS; ECONOMIC-ANALYSIS; DECISION-MAKING; CLIMATE-CHANGE AB Meeting the world's energy demand is a major challenge for society over the coming century. To identify the most sustainable energy pathways to meet this demand, analysis of energy systems on which policy is based must move beyond the current primary focus on carbon to include a broad range of ecosystem services on which human well-being depends. Incorporation of a broad set of ecosystem services into the design of energy policy will differentiates between energy technology options to identify policy options that reconcile national and international obligations to address climate change and the loss of biodiversity and ecosystem services. In this paper we consider our current understanding of the implications of energy systems for ecosystem services and identify key elements of an assessment. Analysis must consider the full life cycle of energy systems, the territorial and international footprint, use a consistent ecosystem service framework that incorporates the value of both market and non-market goods, and consider the spatial and temporal dynamics of both the energy and environmental system. While significant methodological challenges exist, the approach we detail can provide the holistic view of energy and ecosystem services interactions required to inform the future of global energy policy. (C) 2016 The Authors. Published by Elsevier Ltd. C1 [Holland, Robert A.; Hinton, Emma D.; Eigenbrod, Felix; Taylor, Gail] Univ Southampton, Ctr Biol Sci, Life Sci Bldg B85,Highfield Campus, Southampton SO17 1BJ, Hants, England. [Scott, Kate; Barrett, John] Univ Leeds, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England. [Austen, Melanie C.; Beaumont, Nicola; Carter-Silk, Eleanor; Cazenave, Pierre; Hooper, Tara; Papathanasopoulou, Eleni; Torres, Ricardo] Plymouth Marine Lab, Prospect Pl, Plymouth PL1 3DH, Devon, England. [Blaber-Wegg, Tina; Carter-Silk, Eleanor; Hiscock, Kevin; Lovett, Andrew; Thomas, Amy; Tickner, Rob] Univ E Anglia, Sch Environm Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England. [Brown, Gareth] Imperial Coll London, Dept Life Sci, Silwood Pk Campus, Ascot SL5 7PY, Berks, England. [Smith, Pete] Univ Aberdeen, Inst Biol & Environm Sci, Sch Biol Sci, 23 St Machar Dr, Aberdeen AB24 3UU, Scotland. RP Taylor, G (reprint author), Univ Southampton, Ctr Biol Sci, Life Sci Bldg B85,Highfield Campus, Southampton SO17 1BJ, Hants, England. EM G.Taylor@soton.ac.uk RI Thomas, Amy/F-2727-2019; Smith, Pete/G-1041-2010; Scott, Kate/L-6843-2015; Torres, Ricardo/D-2299-2016 OI Thomas, Amy/0000-0002-4929-7285; Smith, Pete/0000-0002-3784-1124; Scott, Kate/0000-0001-7952-0348; Torres, Ricardo/0000-0002-9035-2637; Holland, Robert/0000-0002-3038-9227; Cazenave, Pierre/0000-0001-8489-6972; Holland, Robert/0000-0002-5927-9160; Eigenbrod, Felix/0000-0001-8982-824X FU UK Energy Research Centre Phase 2, under its Energy and Environment [NE/J005924/1, NE/G007748/1]; Engineering and Physical Sciences Research Council [EP/N022645/1, EP/L024756/1]; Natural Environment Research Council [NE/M019640/1, pml010006, NE/J012327/1, pml010010, pml010009, pml010005, NE/J004316/1] FX This work was supported by the UK Energy Research Centre Phase 2, under its Energy and Environment theme Grant Number NE/J005924/1 and NE/G007748/1. CR Allison TD, 2014, CLIMATIC CHANGE, V126, P1, DOI 10.1007/s10584-014-1127-y Ashley MC, 2014, MAR POLICY, V45, P301, DOI 10.1016/j.marpol.2013.09.002 Barrett J, 2013, CLIM POLICY, V13, P451, DOI 10.1080/14693062.2013.788858 Bateman IJ, 2015, P NATL ACAD SCI USA, V112, P7408, DOI 10.1073/pnas.1406484112 Bateman IJ, 2014, ENVIRON RESOUR ECON, V57, P273, DOI 10.1007/s10640-013-9662-y Bateman IJ, 2013, SCIENCE, V341, P45, DOI 10.1126/science.1234379 Bateman IJ, 2011, ENVIRON RESOUR ECON, V48, P177, DOI 10.1007/s10640-010-9418-x Bauen AW, 2010, BIORESOURCE TECHNOL, V101, P8132, DOI 10.1016/j.biortech.2010.05.002 Bergman M. J. N., 2014, ICES J MAR SCI J CON, V193 Berti P, 2014, ENERG POLICY, V66, P135, DOI 10.1016/j.enpol.2013.09.044 Borger T, 2014, ECOL ECON, V108, P229, DOI 10.1016/j.ecolecon.2014.10.006 Borger T, 2014, MAR POLICY, V46, P161, DOI 10.1016/j.marpol.2014.01.019 Bonar PAJ, 2015, RENEW SUST ENERG REV, V47, P486, DOI 10.1016/j.rser.2015.03.068 Boucher P, 2012, ENERG POLICY, V42, P148, DOI 10.1016/j.enpol.2011.11.058 Brooks EGE, 2014, ECOL SOC, V19, DOI 10.5751/ES-06811-190318 Chu S, 2012, NATURE, V488, P294, DOI 10.1038/nature11475 Committee on Climate Change, 2013, 4 CARB BUDG REV TECH Committee on Climate Change, 2015, 5 CARB BUDG NEXT STE Convention on Biological Diversity, 2012, COP 10 DEC X 2 STRAT Cowie A. L., 2006, Mitigation and Adaptation Strategies for Global Change, V11, P979, DOI 10.1007/s11027-006-9030-0 Daily GC, 2008, P NATL ACAD SCI USA, V105, P9455, DOI 10.1073/pnas.0804960105 Dauber J, 2010, GCB BIOENERGY, V2, P289, DOI 10.1111/j.1757-1707.2010.01058.x de Fraiture C, 2008, WATER POLICY, V10, P67, DOI 10.2166/wp.2008.054 Department of Energy and Climate Change, 2011, REN EN ROADM Devine-Wright P, 2005, LOCAL ENVIRON, V10, P57, DOI 10.1080/1354983042000309315 Diaz S, 2015, CURR OPIN ENV SUST, V14, P1, DOI 10.1016/j.cosust.2014.11.002 Diaz S, 2015, PLOS BIOL, V13, DOI 10.1371/journal.pbio.1002040 EC, 2009, OFFICIAL J EUROPEA L, VL140, P16, DOI DOI 10.3000/17252555.L2009.140.ENG Edenhofer O., 2014, CLIMATE CHANGE 2014 Edenhofer O., 2011, RENEWABLE EN SOURCES Ekins P, 2004, ENERG POLICY, V32, P1891, DOI 10.1016/j.enpol.2004.03.009 Ekins P., 2013, UK ENERGY SYSTEM 205 European Commission Organisation for Economic Co-operation and Development United Nations World Bank, 2013, SYST ENV EC ACC 2012 Fargione J, 2008, SCIENCE, V319, P1235, DOI 10.1126/science.1152747 Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014 Foresight, 2011, FUT FOOD FARM Gaffney JS, 2009, ATMOS ENVIRON, V43, P23, DOI 10.1016/j.atmosenv.2008.09.016 Gasparatos A, 2011, AGR ECOSYST ENVIRON, V142, P111, DOI 10.1016/j.agee.2011.04.020 Gelfand I, 2013, NATURE, V493, P514, DOI 10.1038/nature11811 Gomez-Baggethun E, 2011, PROG PHYS GEOG, V35, P613, DOI 10.1177/0309133311421708 Goodwin NR, 2003, 5 KINDS CAPITAL USEF Gralla F, 2014, ECOL INDIC, V41, P1, DOI 10.1016/j.ecolind.2014.01.027 Gregg JS, 2010, BIOFUELS-UK, V1, P69, DOI 10.4155/BFS.09.8 Gross C, 2007, ENERG POLICY, V35, P2727, DOI 10.1016/j.enpol.2006.12.013 Haines-Young R, 2012, CICES VERSION 4 RESP Hastik R, 2015, RENEW SUST ENERG REV, V48, P608, DOI 10.1016/j.rser.2015.04.004 Hein L, 2006, ECOL ECON, V57, P209, DOI 10.1016/j.ecolecon.2005.04.005 Hertwich EG, 2015, P NATL ACAD SCI USA, V112, P6277, DOI 10.1073/pnas.1312753111 Hertwich EG, 2009, ENVIRON SCI TECHNOL, V43, P6414, DOI 10.1021/es803496a Holland RA, 2015, P NATL ACAD SCI USA, V112, pE6707, DOI 10.1073/pnas.1507701112 Hooper T, 2014, ECOSYST SERV, V8, P65, DOI 10.1016/j.ecoser.2014.02.005 Hooper T, 2014, MAR POLICY, V43, P295, DOI 10.1016/j.marpol.2013.06.011 Hooper T, 2013, RENEW SUST ENERG REV, V23, P289, DOI 10.1016/j.rser.2013.03.001 Howard DC, 2013, BIOMASS BIOENERG, V55, P17, DOI 10.1016/j.biombioe.2012.05.025 International Energy Agency, 2015, WORLD EN OUTL 2015 International Energy Agency, 2012, WORLD EN OUTL 2012 IPCC, 2014, SUMM POL MAK CLIM CH Kanemoto K, 2014, GLOBAL ENVIRON CHANG, V24, P52, DOI 10.1016/j.gloenvcha.2013.09.008 Kareiva PM, 2015, P NATL ACAD SCI USA, V112, P7375, DOI 10.1073/pnas.1408120111 Kroll F, 2012, LAND USE POLICY, V29, P521, DOI 10.1016/j.landusepol.2011.07.008 Kuemmerlen M, 2015, FRESHWATER BIOL, V60, P1443, DOI 10.1111/fwb.12580 Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Lenzen M, 2013, ECOL ECON, V94, P78, DOI 10.1016/j.ecolecon.2013.06.018 Liu JG, 2013, ECOL SOC, V18, DOI 10.5751/ES-05873-180226 Lovett AA, 2015, BIOMASS BIOENERG, V83, P311, DOI 10.1016/j.biombioe.2015.10.001 Lovett A, 2014, GCB BIOENERGY, V6, P99, DOI 10.1111/gcbb.12147 Mace GM, 2012, TRENDS ECOL EVOL, V27, P19, DOI 10.1016/j.tree.2011.08.006 Mangi SC, 2013, P IEEE, V101, P999, DOI 10.1109/JPROC.2012.2232251 Manning P., 2014, GCB BIOENERGY, V7, P570 Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY Mohr A, 2013, ENERG POLICY, V63, P114, DOI 10.1016/j.enpol.2013.08.033 Naidoo R, 2008, P NATL ACAD SCI USA, V105, P9495, DOI 10.1073/pnas.0707823105 Naik SN, 2010, RENEW SUST ENERG REV, V14, P578, DOI 10.1016/j.rser.2009.10.003 Papathanasopoulou E., 2015, SCENARIO IMPACTS ECO Papathanasopoulou E, 2015, RENEW SUST ENERG REV, V52, P917, DOI 10.1016/j.rser.2015.07.150 Parkhill KA, 2013, TRANSFORMING UK ENER Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Phalan B, 2009, APPL ENERG, V86, pS21, DOI 10.1016/j.apenergy.2009.04.046 Pimentel D, 2009, HUM ECOL, V37, P1, DOI 10.1007/s10745-009-9215-8 Pittock J, 2011, ECOL SOC, V16 Rowe RL, 2009, RENEW SUST ENERG REV, V13, P271, DOI 10.1016/j.rser.2007.07.008 Royal Dutch Shell, 2013, NEW LENS SCEN SHIFT Ruckelshaus M, 2013, MAR POLICY, V40, P154, DOI 10.1016/j.marpol.2013.01.009 Santoyo-Castelazo E, 2014, J CLEAN PROD, V80, P119, DOI 10.1016/j.jclepro.2014.05.061 Schulze ED, 2012, GCB BIOENERGY, V4, P611, DOI 10.1111/j.1757-1707.2012.01169.x Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 Smith J, 2014, ENERG POLICY, V66, P585, DOI 10.1016/j.enpol.2013.10.066 Smith J, 2012, NATURE, V489, P33, DOI 10.1038/489033d Smith KA, 2012, GCB BIOENERGY, V4, P479, DOI 10.1111/j.1757-1707.2012.01182.x Souther S, 2014, FRONT ECOL ENVIRON, V12, P330, DOI 10.1890/130324 Souza DM, 2015, GLOBAL CHANGE BIOL, V21, P32, DOI 10.1111/gcb.12709 SUKHDEV P, 2010, EC EC BIOD MAINSTR E Tedesco PA, 2013, J APPL ECOL, V50, P1105, DOI 10.1111/1365-2664.12125 Turney D, 2011, RENEW SUST ENERG REV, V15, P3261, DOI 10.1016/j.rser.2011.04.023 United Nations Framework Convention on Climate Change (UNFCCC), 1998, KYOT PROT UN FRAM CO Upham P., 2006, Journal of Environmental Policy and Planning, V8, P45, DOI 10.1080/15239080600634144 Valentine J, 2012, GCB BIOENERGY, V4, P1, DOI 10.1111/j.1757-1707.2011.01111.x van der Horst D, 2011, BIOMASS BIOENERG, V35, P2435, DOI 10.1016/j.biombioe.2010.11.029 Walker G, 2007, GLOBAL ENVIRON POLIT, V7, P64, DOI 10.1162/glep.2007.7.2.64 Walker G, 2010, ENERG POLICY, V38, P2655, DOI 10.1016/j.enpol.2009.05.055 Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 Wiedmann TO, 2015, P NATL ACAD SCI USA, V112, P6271, DOI 10.1073/pnas.1220362110 Wiens J, 2011, ECOL APPL, V21, P1085, DOI 10.1890/09-0673.1 Wustenhagen R, 2007, ENERG POLICY, V35, P2683, DOI 10.1016/j.enpol.2006.12.001 Yu Y, 2013, GLOBAL ENVIRON CHANG, V23, P1178, DOI 10.1016/j.gloenvcha.2013.04.006 NR 106 TC 9 Z9 9 U1 2 U2 58 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0301-4215 EI 1873-6777 J9 ENERG POLICY JI Energy Policy PD MAY PY 2016 VL 92 BP 181 EP 189 DI 10.1016/j.enpol.2016.01.037 PG 9 WC Economics; Energy & Fuels; Environmental Sciences; Environmental Studies SC Business & Economics; Energy & Fuels; Environmental Sciences & Ecology GA DJ0AK UT WOS:000373863600017 OA Other Gold, Green Published DA 2019-04-09 ER PT J AU Duggan, DE Kochen, M AF Duggan, Deirdre E. Kochen, Momo TI Small in scale but big in potential: Opportunities and challenges for fisheries certification of Indonesian small-scale tuna fisheries SO MARINE POLICY LA English DT Article DE Traceability; Market access; Yellowfin tuna; Fair Trade; Marine Stewardship Council; Sustainability ID MARINE STEWARDSHIP COUNCIL; DEVELOPING-COUNTRIES; TRACEABILITY; SEAFOOD; MANAGEMENT; SUSTAINABILITY; PERSPECTIVES; IMPLEMENTATION; TRIANGLE; SCHEMES AB Achieving sustainable fisheries and certifications can be challenging for developing countries, affecting the achievement of global seafood sustainability and food security. Indonesia is one of the world's leading producers of tuna products but struggles to achieve certification. Small-scale tuna fisheries are an important component of the Indonesian fisheries sector, especially with regard to employment and income. The Marine Stewardship Council is the most recognised fisheries certification scheme worldwide but is criticised for being inaccessible to small-scale fisheries. Fair Trade has traditionally focussed on land-based products, but recently developed a standard for capture fisheries. Traceability systems are important components of many fisheries certifications and are essential in ensuring product quality and food provenance. This paper discusses the challenges and opportunities facing Indonesian small-scale tuna fisheries achieving certification and implementing traceability. The outlook for certification of such fisheries is promising, given recent global and national developments but requires increasing commitment to communicate the importance and value of such schemes in developing countries. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Duggan, Deirdre E.; Kochen, Momo] Pertokoan Istana Regency, MDPI, Blok S 7, Denpasar 80223, Bali, Indonesia. RP Duggan, DE (reprint author), Pertokoan Istana Regency, MDPI, Blok S 7, Denpasar 80223, Bali, Indonesia. EM deirdre.duggan@mdpi.or.id; mkochen@mdpi.or.id FU WWF; IPNLF; MMAF FX We are grateful to Megan Bailey and the reviewer for comments and suggestions on an earlier version of this paper. We would also like to thank the dedicated programme teams of MDPI for their dedication to sustainable small-scale fisheries. We would like to thank WWF, IPNLF and MMAF for their support in the Indonesian tuna FIP work. CR Agnew DJ, 2009, PLOS ONE, V4, DOI 10.1371/journal.pone.0004570 Anderson C., 2012, POLE LINE SKIPJACK F [Anonymous], 2015, FIP ACT PLAN 2015 Bailey M., 2015, FISH RES, P1 Bailey M, 2016, CURR OPIN ENV SUST, V18, P25, DOI 10.1016/j.cosust.2015.06.004 Bailey M, 2012, OCEAN COAST MANAGE, V63, P30, DOI 10.1016/j.ocecoaman.2012.03.010 Bailey MA, 2017, J CONFLICT RESOLUT, V61, P430, DOI 10.1177/0022002715595700 Belson J., 2012, LAW J INT TRADEMARK, V7, P96 Belton B, 2011, FOOD POLICY, V36, P289, DOI 10.1016/j.foodpol.2010.11.027 Bhatt T, 2015, RECOMMENDATIONS GLOB Blackmore E., 2015, WHATS CATCH LESSONS Bowen B., 2001, FAIR TRADE YB 2001, P21 Bush S, 2013, IMPROVING FISHERIES Bush SR, 2015, SUSTAINABILITY-BASEL, V7, P1861, DOI 10.3390/su7021861 Bush SR, 2013, MAR POLICY, V37, P288, DOI 10.1016/j.marpol.2012.05.011 Christian C, 2013, BIOL CONSERV, V161, P10, DOI 10.1016/j.biocon.2013.01.002 Davies N, 2014, STOCK ASSESSMENT YEL Donnelly KAM, 2012, FOOD CONTROL, V27, P228, DOI 10.1016/j.foodcont.2012.03.021 European Parliament and Council of the European Union, 2008, OFF J EUR UNION, P1 Fair Work Australia, 2014, FAIR TRAD US CAPT FI, P1 FAO, 2014, STAT WORLD FISH AQ FAO, VOL GUID SEC SUST SM, P2 FDA, 2011, FOOD SAF MOD ACT Foale S, 2013, MAR POLICY, V38, P174, DOI 10.1016/j.marpol.2012.05.033 Gulbrandsen LH, 2009, MAR POLICY, V33, P654, DOI 10.1016/j.marpol.2009.01.002 Gulbrandsen LH, 2005, ENVIRONMENT, V47, P8, DOI 10.3200/ENVT.47.5.8-23 Gutierrez A, 2014, SUSTAINABILITY-BASEL, V6, P8195, DOI 10.3390/su6118195 Harkes I, 2002, OCEAN COAST MANAGE, V45, P237, DOI 10.1016/S0964-5691(02)00057-1 Hoel A. H., 2006, PRIM IND FACING GLOB, P343 Karlsen KM, 2012, J FOOD ENG, V112, P78, DOI 10.1016/j.jfoodeng.2012.03.025 Kawarazuka N, 2010, FOOD SECUR, V2, P343, DOI 10.1007/s12571-010-0079-y Ruddle K, 2011, HUM ORGAN, V70, P224, DOI 10.17730/humo.70.3.v4810k37717h9g01 Kirby DS, 2014, MAR POLICY, V43, P132, DOI 10.1016/j.marpol.2013.05.004 Lewis BD, 2014, REG STUD, V48, P192, DOI 10.1080/00343404.2012.748980 Mai N, 2010, BRIT FOOD J, V112, P976, DOI 10.1108/00070701011074354 McLeod E, 2009, COAST MANAGE, V37, P656, DOI 10.1080/08920750903244143 Miranti R., 2013, OECD SOC EMPLOY MIGR MMAF, 2010, PER MENT KEL PER REP MMAF, 2015, PER MENT KEL PER REP MMAF, 2004, UND UND REP IND NOM MMAF, 2015, PER MENT KEL PERR RE MMAF, 2014, PER MENT KEL PER REP MMAF, 2013, KEP MENT KEL PER REP MMAF, 2014, KEL PER DAL ANGK TAH Moody Marine Limited, 2010, PREASS REP IND PAC I Moody Marine Limited, 2009, PREASS REP IND HANDL MSC, 2013, GLOB IMP REP 2013 MO MSC, 2010, MAR STEW COUNC FISH, P1 MSC, 2015, MSC LAUNCH GLOB FISH Naylor L, 2014, AGR HUM VALUES, V31, P273, DOI 10.1007/s10460-013-9476-0 NOAA, 2013, DOLPH SAF CERT Olsen P, 2013, TRENDS FOOD SCI TECH, V29, P142, DOI 10.1016/j.tifs.2012.10.003 Parkes G, 2010, REV FISH SCI, V18, P344, DOI 10.1080/10641262.2010.516374 Perez-Ramirez M, 2012, MAR POLICY, V36, P297, DOI 10.1016/j.marpol.2011.06.013 Perez-Ramirez M, 2010, INTERCIENCIA, V35, P855 Regulation (EC) No 178/2002 of the European Parliament and of the Council 28 January 2002, 2002, OFF J EUR COMMUNITIE, P1 Ringsberg H, 2014, SUPPLY CHAIN MANAG, V19, P558, DOI 10.1108/SCM-01-2014-0026 Roheim CA, 2011, J AGR ECON, V62, P655, DOI 10.1111/j.1477-9552.2011.00299.x Sampson GS, 2015, SCIENCE, V348, P504, DOI 10.1126/science.aaa4639 Satria A, 2004, MAR POLICY, V28, P437, DOI 10.1016/j.marpol.2003.11.001 SFP, 2015, FISHSOURCE PROF YELL Siry HY, 2011, OCEAN COAST MANAGE, V54, P469, DOI 10.1016/j.ocecoaman.2011.03.009 Souza-Monteiro DM, 2004, EC IMPLEMENTING TRAC Stratoudakis Y., 2015, FISH RES Sunoko R, 2014, MAR POLICY, V43, P174, DOI 10.1016/j.marpol.2013.05.011 Teh L. S. L., 2013, ENVIRON RESOUR ECON, P1 USAID, 2014, OC FISH PARTN van Rijswijk W, 2008, BRIT FOOD J, V110, P1034, DOI 10.1108/00070700810906642 Warner K., 2013, OCEANA STUDY REVEALS WCPFC West Pacific, 2009, UNDP PROJ DOC, P1 Wessells C. R., 2002, Marine Resource Economics, V17, P153 WEYER L, 2012, OCEAN COAST MANAGE, V66, P63, DOI DOI 10.1016/J.0CEC0AMAN.2012.05.001 World Bank, 2011, IND EC Q CURR CHALL NR 73 TC 14 Z9 14 U1 3 U2 21 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0308-597X EI 1872-9460 J9 MAR POLICY JI Mar. Pol. PD MAY PY 2016 VL 67 BP 30 EP 39 DI 10.1016/j.marpol.2016.01.008 PG 10 WC Environmental Studies; International Relations SC Environmental Sciences & Ecology; International Relations GA DI7BX UT WOS:000373655200004 DA 2019-04-09 ER PT J AU Civelli, A AF Civelli, Andrea TI Excess Returns, Average Returns and the Adjustment Mechanism of the External Position of a Country SO REVIEW OF INTERNATIONAL ECONOMICS LA English DT Article ID CURRENT ACCOUNT; DEFICITS; BUDGET; SUSTAINABILITY; CONSTRAINT AB I provide a new decomposition of the external constraint of a country in which, in addition to the trade and valuation channel, adjustments in the stochastic discount factor and the spread between average international returns and risk-free rate can offset a current debt position. The importance of these channels is empirically assessed using US data. A primary contribution of the discount factor and secondary effects of excess and average returns are found in the non-detrended analysis, confirming the theoretical characterization of the valuation effects in previous literature. By using detrended data instead, the role of excess returns would be spuriously overestimated. C1 [Civelli, Andrea] Univ Arkansas, Business Bldg 402, Fayetteville, AR 72701 USA. RP Civelli, A (reprint author), Univ Arkansas, Business Bldg 402, Fayetteville, AR 72701 USA. EM andrea.civelli@gmail.com CR Bianchi F, 2015, REV ECON DYNAM, V18, P406, DOI 10.1016/j.red.2014.07.004 Blanchard O, 2005, BROOKINGS PAP ECO AC, P1 BOHN H, 1995, J MONEY CREDIT BANK, V27, P257, DOI 10.2307/2077862 Bohn H, 1998, Q J ECON, V113, P949, DOI 10.1162/003355398555793 Bohn H, 2008, CESIFO BOOK SER, P15 Caballero RJ, 2008, AM ECON REV, V98, P358, DOI 10.1257/aer.98.1.358 Canzoneri MB, 2001, AM ECON REV, V91, P1221, DOI 10.1257/aer.91.5.1221 Coeurdacier N, 2010, J INT ECON, V80, P100, DOI 10.1016/j.jinteco.2009.05.006 Curcuru S. E., 2008, Q J ECON, V123, P129 Devereux MB, 2010, J INT ECON, V80, P129, DOI 10.1016/j.jinteco.2009.06.001 Flavin M. A., 1986, AM ECON REV, V76, P808 Gali J., 2008, REV ECON STUD, V71, P707 GOURINCHAS P.-O., 2007, G7 CURRENT ACCOUNT I, P11 Gourinchas PO, 2007, J POLIT ECON, V115, P665, DOI 10.1086/521966 Hamilton J. D., 1994, TIME SERIES ANAL Holmes MJ, 2009, BE J MACROECON, V9 Lane P. R., 2007, J INT ECON, V73, P223 Lane P. R., 2004, 4745 CTR EC POL RES Obstfeld M., 2001, FEDERAL RESERVE BANK, P169 Obstfeld Maurice, 2007, G7 CURRENT ACCOUNT I, P339 Pavlova A, 2010, J INT ECON, V80, P144, DOI 10.1016/j.jinteco.2009.09.003 Tille C, 2010, J INT ECON, V80, P157, DOI 10.1016/j.jinteco.2009.11.003 TREHAN B, 1988, J ECON DYN CONTROL, V12, P425, DOI 10.1016/0165-1889(88)90048-6 TREHAN B, 1991, J MONEY CREDIT BANK, V23, P206, DOI 10.2307/1992777 WICKENS MR, 1993, J ECON DYN CONTROL, V17, P423, DOI 10.1016/0165-1889(93)90005-D WILCOX DW, 1989, J MONEY CREDIT BANK, V21, P291, DOI 10.2307/1992415 NR 26 TC 0 Z9 0 U1 2 U2 4 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0965-7576 EI 1467-9396 J9 REV INT ECON JI Rev. Int. Econ. PD MAY PY 2016 VL 24 IS 2 BP 226 EP 252 DI 10.1111/roie.12211 PG 27 WC Economics SC Business & Economics GA DI8TQ UT WOS:000373775200002 DA 2019-04-09 ER PT J AU Araujo, JD Li, BG Poplawski-Ribeiro, M Zanna, LF AF Araujo, Juliana D. Li, Bin Grace Poplawski-Ribeiro, Marcos Zanna, Luis -Felipe TI Current account norms in natural resource rich and capital scarce economiese SO JOURNAL OF DEVELOPMENT ECONOMICS LA English DT Article DE Current account; External sustainability; Developing economies ID DEVELOPING-COUNTRIES; PUBLIC-INVESTMENT; FISCAL-POLICY; TERMS; TRADE; REVENUES; WINDFALL; MODELS; SHOCKS AB The permanent income hypothesis implies that frictionless open economies with exhaustible natural resources should save abroad most of their resource windfalls and, therefore, feature current account surpluses. Resource rich developing countries (RRDCs), on the other hand, face substantial development needs and tight external borrowing constraints. By relaxing these constraints and providing a key financing source for public investment, resource windfalls might then be associated with current account deficits or at least low surpluses. In this paper, we develop a neoclassical model with private and public investment and several pervasive features in RRDCs, including absorptive capacity constraints, inefficiencies in investment, borrowing constraints, and capital scarcity. We use the model to study the role of investment and these frictions in shaping the current account dynamics under windfalls. Since consumption and investment decisions are optimal, the model also serves to analyze current account norms (benchmarks). We apply the model to the Economic and Monetary Community of Central Africa and discuss how our results can be used to inform external sustainability analyses in RRDCs. (C) 2015 The Authors. Published by Elsevier B.V. C1 [Araujo, Juliana D.; Li, Bin Grace; Poplawski-Ribeiro, Marcos; Zanna, Luis -Felipe] Int Monetary Fund, 700 19th St NW, Washington, DC 20431 USA. RP Araujo, JD (reprint author), Int Monetary Fund, 700 19th St NW, Washington, DC 20431 USA. EM jaraujo@imf.org; bli2@imf.org; mpoplawskiribeiro@imf.org; fzanna@imf.org FU U.K.'s Department for International Development [60925] FX We thank Bernardin Akitoby, Michal Andrle, Andy Berg, Ed Buffie, Raphael Espinoza, Kerstin Gerling, Cathy Pattillo, Chris Papageorgiou, Rick van der Ploeg, Rafael Portillo, Alex Segura-Ubiergo, Abdel Senhadji, Priscilla Toffano, Susan Yang, Shang-Jin Wei (the editor) and two anonymous referees for their valuable comments. We are also grateful to Manzoor Gill, Pranav Gupta, Nancy Tinoza, and Yorbol Yakhshilikov for excellent research assistance and Bernardin Akitoby for allowing us to use the dataset of Akitoby and Stratmann (2008). This paper is part of a research project on macroeconomic policy in low-income countries supported by U.K.'s Department for International Development (60925). The views expressed herein are those of the authors and should not be attributed to the IMF, its Executive Board, its management, or to DFID. CR Agenor PR, 2010, J ECON DYN CONTROL, V34, P932, DOI 10.1016/j.jedc.2010.01.009 Akitoby B, 2012, OIL WEALTH IN CENTRAL AFRICA: POLICIES FOR INCLUSIVE GROWTH, P1 Akitoby B, 2008, ECON J, V118, P1971, DOI 10.1111/j.1468-0297.2008.02198.x Aleksandrov N, 2013, J ECON DYN CONTROL, V37, P1248, DOI 10.1016/j.jedc.2013.01.015 Algan Y., 2010, HDB COMPUTATIONAL EC Arezki R, 2012, WORLD BANK ECON REV, V26, P78, DOI 10.1093/wber/lhr015 Barnett S., 2003, FISCAL POLICY FORMUL Baunsgaard T., 2012, 1204 IMF Bayoumi T., 2009, 09248 IMF Beidas-Strom S., 2011, 11195 IMF Bems R., 2009, 09281 IMF Bems R, 2011, J INT ECON, V84, P48, DOI 10.1016/j.jinteco.2011.02.004 Berg A, 2013, IMF ECON REV, V61, P92, DOI 10.1057/imfer.2013.1 Blanchard O, 2002, BROOKINGS PAP ECO AC, P147 Bu Y., 2004, FIXED CAPITAL UNPUB Buffie E., 2012, 12144 IMF Cherif R., 2012, 12134 IMF Cherif R, 2012, 124 IMF Collier P, 2010, IMF STAFF PAPERS, V57, P84, DOI 10.1057/imfsp.2009.16 Cubas C., 2011, ACCOUNTING CROSS COU Dalgaard C., 2005, 0504 U COP I EC Dorsey T., 2008, 0851 IMF Ernst Young, 2014, BUSINESS RISKS FACIN Fernandez-Villaverde J, 2011, AM ECON REV, V101, P2530, DOI 10.1257/aer.101.6.2530 FRIEDMAN M, 1957, THEORY CONSUMPTION F International Financial Corporation (IFC), 2013, FOSTERING DEV GREENF International Monetary Fund, 2012, EXT BAL ASS EBA TECH International Monetary Fund, 2012, SM12224 IMF International Monetary Fund, 2012, COMM PRIC SWINGS COM International Monetary Fund, 2011, SM11163 IMF International Monetary Fund, 2014, EXT SECT REP Kaminsky G, 1998, INT MONET FUND S PAP, V45, P1 Kano T, 2014, J MONEY CREDIT BANK, V46, P519, DOI 10.1111/jmcb.12115 Kent C., 2003, 03143 IMF Lee J., 2008, IMF OCCAS PAP Lledo V, 2013, WORLD DEV, V46, P79, DOI 10.1016/j.worlddev.2013.01.030 MANSOORIAN A, 1991, ECON J, V101, P1497, DOI 10.2307/2234899 Manzano O, 2007, LATIN AMER DEVELOP, P41 OBSTFELD M, 1982, Q J ECON, V97, P251, DOI 10.2307/1880757 Ogaki M, 1996, INT MONET FUND S PAP, V43, P38 Prati A., 2011, IMF OCCAS PAP Pritchett L, 2000, J ECON GROWTH, V5, P361, DOI 10.1023/A:1026551519329 Ranganathan R, 2012, OIL WEALTH IN CENTRAL AFRICA: POLICIES FOR INCLUSIVE GROWTH, P55 Sachs J, 1995, 5398 NAT BUR EC RES Schmitt-Grohe S, 2003, J INT ECON, V61, P163, DOI 10.1016/S0022-1996(02)00056-9 Segura-Ubiergo A., 2014, MOZAMBIQUE RISING BU, P122 SEN P, 1989, J INT ECON, V26, P227, DOI 10.1016/0022-1996(89)90002-0 Serven L, 1999, J INT MONEY FINANC, V18, P337, DOI 10.1016/S0261-5606(99)85001-3 Spatafora N., 1999, 99134 IMF, V99/134 SVENSSON LEO, 1983, J POLIT ECON, V91, P97, DOI 10.1086/261130 Tabova A, 2012, OIL WEALTH IN CENTRAL AFRICA: POLICIES FOR INCLUSIVE GROWTH, P39 Taldzawa H., 2004, 04141 IMF van der Ploeg F., 2011, CEPR DISCUSSION PAPE van der Ploeg F, 2013, J DEV ECON, V103, P229, DOI 10.1016/j.jdeveco.2013.03.001 van der Ploeg F, 2012, INT TAX PUBLIC FINAN, V19, P509, DOI 10.1007/s10797-012-9225-0 van der Ploeg F, 2011, J ECON LIT, V49, P366, DOI 10.1257/jel.49.2.366 van der Ploeg F, 2011, ECON J, V121, P1, DOI 10.1111/j.1468-0297.2010.02411.x Vegh CA, 2013, OPEN ECONOMY MACROECONOMICS IN DEVELOPING COUNTRIES, P1 World Bank, 2010, AFR DEV FORUM, P1, DOI 10.1596/978-0-8213-8041-3 NR 59 TC 6 Z9 6 U1 2 U2 10 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0304-3878 EI 1872-6089 J9 J DEV ECON JI J. Dev. Econ. PD MAY PY 2016 VL 120 BP 144 EP 156 DI 10.1016/j.jdeveco.2015.10.005 PG 13 WC Economics SC Business & Economics GA DI3ST UT WOS:000373419500011 OA Other Gold DA 2019-04-09 ER PT J AU Wang, QP Zhao, DZ He, LF AF Wang, Qinpeng Zhao, Daozhi He, Longfei TI Contracting emission reduction for supply chains considering market low-carbon preference SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Low carbon SCM; Contracting emission reduction; Cost-sharing contract; Wholesale price premium contract; Low carbon preference ID CONSUMER ENVIRONMENTAL AWARENESS; TRADE SYSTEM; GAME-THEORY; COORDINATION; SUSTAINABILITY; RESPONSIBILITY; PERFORMANCE; COMPONENTS; PRODUCTS; DYNAMICS AB Under the low-carbon environment, we focus on a dyadic supply chain with a manufacturer and a retailer to develop a game model for studying the issues of carbon emission reduction within the retailer dominant and the power balanced cases, respectively. The consumers are assumed to be of environmental consciousness and accordingly will note the carbon footprint of product when shopping. We find that with the cost-sharing and the wholesale price premium contracts, the retailer can achieve the goal of jointly reducing carbon emissions with the manufacturer, which can promote the manufacturer to increase the carbon emission reduction rate and raise the profit of supply chain. In both the retailer dominant case and the power balance case, the cost-sharing contract can result in Pareto improvement in the performance of both the manufacturer and the retailer. However, the wholesale price premium contract can increase the profit of the supply chain only when the level of low carbon preference is high in the retailer dominant case, and it can also represent a Pareto improvement for the supply chain even if when the level of low carbon preference is low in the power balanced case. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Wang, Qinpeng; Zhao, Daozhi; He, Longfei] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China. [Wang, Qinpeng] Hebei Univ Econ & Business, Sch Management Sci & Engn, Shijiazhuang 050062, Peoples R China. [Zhao, Daozhi; He, Longfei] Tianjin Univ, Inst Mfg & Logist, Tianjin 300072, Peoples R China. RP He, LF (reprint author), Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China. EM helf@tju.edu.cn FU NSFC [71202086, 71072155, 71528002] FX The authors would like to express our sincere thanks to the anonymous referees and editors for their time and patience devoted to reviewing this paper. Their constructive suggestions certainly help improve and enrich the content in this paper. This work is partially supported by NSFC Grants (No. 71202086, No. 71072155, No. 71528002). CR Achtnicht M, 2012, CLIMATIC CHANGE, V113, P679, DOI 10.1007/s10584-011-0362-8 Anderson ET, 2008, MARKET SCI, V27, P492, DOI 10.1287/mksc.1070.0323 Benjaafar S, 2013, IEEE T AUTOM SCI ENG, V10, P99, DOI 10.1109/TASE.2012.2203304 Bohringer C, 2005, EUR ECON REV, V49, P2041, DOI 10.1016/j.euroecorev.2004.06.006 Bohringer C, 1997, J ENVIRON ECON MANAG, V32, P189, DOI 10.1006/jeem.1996.0962 Brandenburg M., 2015, ANN OPER RES Brandenburg M, 2014, EUR J OPER RES, V233, P299, DOI 10.1016/j.ejor.2013.09.032 Cachon G. P., 2003, HDB OPERATIONS RES M Carmona R, 2011, MANAGE SCI, V57, P1453, DOI 10.1287/mnsc.1110.1358 Caro F, 2013, M&SOM-MANUF SERV OP, V15, P545, DOI 10.1287/msom.2013.0443 Cruz JM, 2013, J CLEAN PROD, V56, P73, DOI 10.1016/j.jclepro.2011.09.013 DASPREMONT C, 1988, AM ECON REV, V78, P1133 de Oliveira JAP, 2013, J CLEAN PROD, V58, P1, DOI 10.1016/j.jclepro.2013.08.011 de Sousa Jabbour A.B.L., 2015, J CLEAN PROD, V87, P385 Dong C., 2014, ANN OPER RES, P1 Du S, 2015, ANN OPER RES, V228, P135, DOI 10.1007/s10479-011-0964-6 Du S, 2015, ANN OPER RES, V969580, P1 Du SF, 2016, J CLEAN PROD, V112, P1600, DOI 10.1016/j.jclepro.2014.08.086 Du SF, 2015, INT J PROD RES, V53, P3753, DOI 10.1080/00207543.2014.988888 Du SF, 2013, ENERG POLICY, V57, P61, DOI 10.1016/j.enpol.2012.09.042 Duic N, 2015, J CLEAN PROD, V88, P1, DOI 10.1016/j.jclepro.2014.11.030 Fankhauser S., 1997, ENVIRON RESOUR ECON, V10, P249, DOI DOI 10.1023/A:1026420425961 Giannoccaro I, 2004, INT J PROD ECON, V89, P131, DOI 10.1016/S0925-5273(03)00047-1 Govindan K, 2014, J CLEAN PROD, V85, P212, DOI 10.1016/j.jclepro.2014.05.068 Gunasekaran A, 2015, TRANSPORT RES E-LOG, V74, P1, DOI 10.1016/j.tre.2015.01.002 He LF, 2015, SUSTAINABILITY-BASEL, V7, P4280, DOI 10.3390/su7044280 Hoel M, 1996, J PUBLIC ECON, V59, P17, DOI 10.1016/0047-2727(94)01490-6 Huang ZM, 2001, EUR J OPER RES, V135, P527, DOI 10.1016/S0377-2217(00)00327-1 Huisingh D., 2014, J CLEAN PROD, V64, P6 IPCC, 2014, CLIMATE CHANGE 2014 Krishnan H, 2010, MANAGE SCI, V56, P141, DOI 10.1287/mnsc.1090.1100 Li LD, 2008, MANAGE SCI, V54, P1467, DOI 10.1287/mnsc.1070.0851 Li X, 2016, J CLEAN PROD, V112, P2058, DOI 10.1016/j.jclepro.2014.09.027 Liu ZG, 2012, EUR J OPER RES, V218, P602, DOI 10.1016/j.ejor.2011.11.027 Lozano R, 2015, J CLEAN PROD, V106, P430, DOI 10.1016/j.jclepro.2014.05.007 Metcalf GE, 2009, J ECON PERSPECT, V23, P5, DOI 10.1257/jep.23.2.5 Moon W, 2002, LAND ECON, V78, P88, DOI 10.2307/3146925 NORDHAUS WD, 1991, ECON J, V101, P920, DOI 10.2307/2233864 Pandey Swati, 2014, International Conference on Computing and Communication Technologies (ICCCT). Proceedings, P1, DOI [10.1109/ICCCT2.2014.7066706, 10.1109/ICCCT2.2014.7066731] Radford T., 2015, ALASKAS GLACIERS MEL Rao P, 2005, INT J OPER PROD MAN, V25, P898, DOI 10.1108/01443570510613956 Subramanian R, 2009, PROD OPER MANAG, V18, P259, DOI [10.1111/j.1937-5956.2009.01018.x, 10.3401/poms.1080.01018] Taylor TA, 2002, MANAGE SCI, V48, P992, DOI 10.1287/mnsc.48.8.992.168 Tian YH, 2014, J CLEAN PROD, V80, P96, DOI 10.1016/j.jclepro.2014.05.076 Uebelhoer K., 2013, 6 INT C LIF CYCL MAN Vanclay JK, 2011, J CONSUM POLICY, V34, P153, DOI 10.1007/s10603-010-9140-7 Venkatesh R, 1997, MARKET SCI, V16, P146, DOI 10.1287/mksc.16.2.146 Wu C., 2015, CENT EUR J OPER RES, P1 Yue JF, 2006, EUR J OPER RES, V168, P65, DOI 10.1016/j.ejor.2004.05.005 Zhang LH, 2015, EUR J OPER RES, V241, P63, DOI 10.1016/j.ejor.2014.07.043 Zhang ZH, 2015, J CLEAN PROD, V103, P898, DOI 10.1016/j.jclepro.2014.09.076 Zhao D.Z., 2002, P 7 ANN INT MAN S CA Zhu Y, 2010, CHINA SOFT SCI, V4, P1 Zissis D, 2015, OMEGA-INT J MANAGE S, V53, P21, DOI 10.1016/j.omega.2014.11.007 NR 54 TC 44 Z9 50 U1 11 U2 93 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD MAY 1 PY 2016 VL 120 BP 72 EP 84 DI 10.1016/j.jclepro.2015.11.049 PG 13 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DH3MK UT WOS:000372690900008 HC Y HP N DA 2019-04-09 ER PT J AU Quader, MA Ahmed, S Ghazilla, RAR Ahmed, S Dahari, M AF Quader, M. Abdul Ahmed, Shamsuddin Ghazilla, Raja Ariffin Raja Ahmed, Shameem Dahari, Mahidzal TI Evaluation of criteria for CO2 capture and storage in the iron and steel industry using the 2-tuple DEMATEL technique SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE CO2 emissions; CCS criteria; CO2 capture technology; Iron and steel industry; Delphi method; Decision making trial and evaluation laboratory (DEMATEL) ID OXYGEN BLAST-FURNACE; CARBON CAPTURE; TECHNOECONOMIC EVALUATION; POSTCOMBUSTION CAPTURE; ENVIRONMENTAL-IMPACT; EMISSION REDUCTION; ENERGY-EFFICIENCY; CCS; TECHNOLOGIES; IRONMAKING AB Nowadays, the development and deployment of alternative iron-making breakthrough technologies along with CO2 capture technology are receiving high priority to mitigate environmental concerns by reducing pollutants and greenhouse gas (GHG) emissions. During the joint selection and successful implementation of CO2 capture and storage (CCS) technology with iron-making emerging technology in order to allow the continuous use of fossil fuel as a reliable source of energy on demand, decision-makers (DMs) face different uncertainties and barriers as trade-off conditions in a real world environment. This study aims to quantitatively prioritize and analyze the interactions between the complex factors and dimensions in respect of CCS implementation in the iron and steel industry. In addition, research evaluates the CCS systems with twenty-five influential success factors in terms of four prominent aspects of sustainability, namely, engineering, economic, environmental and social. To carry out the research, this study utilizes the modified 2-tuple DEMATEL technique, a Multi-criteria Decision Making (MCDM) tool and the Delphi method by proposing a favorable framework to determine the cause-and-effect relationships among these criteria. The results show that the criteria of energy for capture and storage, and CO2 removal efficiency are the top two significant influencing factors in selecting CO2 capture technology with breakthrough iron-making technologies. In addition, an intelligent network relationship map among the dimensions and the overall DEMATEL prominence-effect relationship diagram between the cause group and effect group of criteria have been illustrated clearly. A case study was conducted in an iron and steel manufacturing industry in Malaysia to illustrate the proposed framework and to demonstrate its usefulness and validity. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Quader, M. Abdul; Ghazilla, Raja Ariffin Raja; Ahmed, Shameem; Dahari, Mahidzal] Univ Malaya, Dept Mech Engn, Fac Engn, Kuala Lumpur 50603, Malaysia. [Ahmed, Shamsuddin] Islamic Univ Technol, Dept Mech & Chem Engn, Dhaka, Bangladesh. RP Quader, MA; Ghazilla, RAR (reprint author), Univ Malaya, Dept Mech Engn, Fac Engn, Kuala Lumpur 50603, Malaysia. EM maquader.me@gmail.com; r_ariffin@um.edu.my RI engineering, @UM-2016/I-9329-2016; DAHARI, MAHIDZAL/B-5401-2010; Quader, M. Abdul/H-9149-2017; Raja Ghazilla, Raja Ariffin/B-9540-2010 OI DAHARI, MAHIDZAL/0000-0002-0432-5596; Quader, M. Abdul/0000-0003-3939-7976; Raja Ghazilla, Raja Ariffin/0000-0002-6464-1822 FU Ministry of Education, Malaysia under High Impact Research (HIR) Grant [UM.C/HIR/MOHE/ENG/23] FX The authors would like to extend their heartiest gratitude to the Ministry of Education, Malaysia for the financial support under the project of UM.C/HIR/MOHE/ENG/23 High Impact Research (HIR) Grant. CR Agency I.E., 2013, TECHN ROADM CARB CAP Anderson S, 2004, ANNU REV ENV RESOUR, V29, P109, DOI 10.1146/annurev.energy.29.082703.145619 Arasto A, 2014, INT J GREENH GAS CON, V30, P140, DOI 10.1016/j.ijggc.2014.09.004 Arasto A, 2013, INT J GREENH GAS CON, V16, P271, DOI 10.1016/j.ijggc.2012.08.018 Baykasoglu A, 2013, EXPERT SYST APPL, V40, P899, DOI 10.1016/j.eswa.2012.05.046 Bellqvist D., 2014, CHEM ENG, V39 Bennaceur K, 2008, CO2 CAPTURE STORAGE Berkhout F, 2009, TECHNOL FORECAST SOC, V76, P218, DOI 10.1016/j.techfore.2008.03.017 Birat J., 2010, STEEL SECTO IN PRESS Birat J.-P., 2006, TECHNOLOGICAL SOLUTI Birat J.-P., REPORTULCOS PROGRAM Birol F., 2010, WORLD ENERGY OUTLOOK Burchart-Korol D, 2013, J CLEAN PROD, V54, P235, DOI 10.1016/j.jclepro.2013.04.031 Chalmers H, 2013, ENRGY PROCED, V37, P7668, DOI 10.1016/j.egypro.2013.06.712 Choi H.D., 2013, HYBRID LIFE CYCLE AS Clayton MJ, 1997, ED PSYCHOL, V17, P373, DOI DOI 10.1080/0144341970170401 Coninck H.D., 2005, INTERGOV PANEL CLIM, V30 Corsten M, 2013, INT J GREENH GAS CON, V13, P59, DOI 10.1016/j.ijggc.2012.12.003 Danloy G, 2009, REV METALL-PARIS, V106, P1, DOI 10.1051/metal/2009008 Doumpos M, 2010, APPL OPTIM, V103, P215, DOI 10.1007/978-3-540-92828-7_7 Duc NH, 2007, ENERG CONVERS MANAGE, V48, P1313, DOI 10.1016/j.enconman.2006.09.024 Eide J, 2013, ENRGY PROCED, V37, P7647, DOI 10.1016/j.egypro.2013.06.711 FALATOONITOOSI E, 2013, RES J APPL SCI ENG T, V5, P3476 Farla J.C., 1996, FUEL EN ABSTR, V37, P216 FARLA JCM, 1995, CLIMATIC CHANGE, V29, P439, DOI 10.1007/BF01092428 Fick G, 2014, WASTE BIOMASS VALORI, V5, P43, DOI 10.1007/s12649-013-9223-1 Fischedick M, 2014, J CLEAN PROD, V84, P563, DOI 10.1016/j.jclepro.2014.05.063 Gabus A., 1972, WORLD PROBLEMS INVIT Germeshuizen LM, 2013, INT J HYDROGEN ENERG, V38, P10671, DOI 10.1016/j.ijhydene.2013.06.076 Gielen D, 2003, ENERG CONVERS MANAGE, V44, P1027, DOI 10.1016/S0196-8904(02)00111-5 Guo YC, 2011, ENRGY PROCED, V4, P512, DOI 10.1016/j.egypro.2011.01.082 Han K, 2014, INT J GREENH GAS CON, V27, P239, DOI 10.1016/j.ijggc.2014.05.014 Hasanbeigi A, 2014, RENEW SUST ENERG REV, V33, P645, DOI 10.1016/j.rser.2014.02.031 Ho MT, 2013, INT J GREENH GAS CON, V19, P145, DOI 10.1016/j.ijggc.2013.08.003 Ho MT, 2011, INT J GREENH GAS CON, V5, P49, DOI 10.1016/j.ijggc.2010.06.004 Hooey L, 2013, ENRGY PROCED, V37, P7139, DOI 10.1016/j.egypro.2013.06.651 Hu Changqing, 2009, J Environ Sci (China), V21 Suppl 1, pS116, DOI 10.1016/S1001-0742(09)60052-8 IEAGHG, 2013, IR STEEL CCS STUD TE IEAGHG, 2013, 2013TR5 IEAGHG International Energy Agency (IEA), 2013, EN TECHN PERSP 2012 Karayannis V, 2014, PROC ECON FINANC, V14, P295, DOI 10.1016/S2212-5671(14)00716-3 Kenarsari SD, 2013, RSC ADV, V3, P22739, DOI 10.1039/c3ra43965h Koelbl BS, 2014, INT J GREENH GAS CON, V27, P81, DOI 10.1016/j.ijggc.2014.04.024 Kuramochi T, 2011, ENRGY PROCED, V4, P1981, DOI 10.1016/j.egypro.2011.02.079 Kuramochi T, 2012, PROG ENERG COMBUST, V38, P87, DOI 10.1016/j.pecs.2011.05.001 Lampert K, 2007, ENERGY, V32, P521, DOI 10.1016/j.energy.2006.08.003 Lampert K, 2010, ENERGY, V35, P1188, DOI 10.1016/j.energy.2009.05.010 lEA U., 2011, TECHN ROADM CARB CAP Lee SY, 2013, J CLEAN PROD, V40, P83, DOI 10.1016/j.jclepro.2011.11.052 Li L, 2013, ENERG POLICY, V54, P194, DOI 10.1016/j.enpol.2012.11.022 Lie JA, 2007, INT J GREENH GAS CON, V1, P309, DOI 10.1016/S1750-5836(07)00069-2 Liu HC, 2015, RENEW SUST ENERG REV, V41, P932, DOI 10.1016/j.rser.2014.08.061 Mandil C., 2007, TRACKING IND EN EFFI Mao XQ, 2013, ENVIRON SCI TECHNOL, V47, P12002, DOI 10.1021/es4021316 Milford RL, 2013, ENVIRON SCI TECHNOL, V47, P3455, DOI 10.1021/es3031424 Morfeldt J., 2015, J CLEAN PROD, P473 Pardo N, 2013, ENERGY, V54, P113, DOI 10.1016/j.energy.2013.03.015 Patel M., 2004, ENCY ENERGY, V3, P81 Patel P, 2013, MRS BULL, V38, P680, DOI 10.1557/mrs.2013.214 Pauliuk S, 2013, ENVIRON SCI TECHNOL, V47, P3448, DOI 10.1021/es303149z Petrakopoulou F, 2014, ENERG FUEL, V28, P5327, DOI 10.1021/ef500925h Prabhu TR, 2001, IEEE T ENG MANAGE, V48, P209, DOI 10.1109/17.922479 Quader MA, 2015, RENEW SUST ENERG REV, V50, P594, DOI 10.1016/j.rser.2015.05.026 Rhee CH, 2011, ENRGY PROCED, V4, P1486, DOI 10.1016/j.egypro.2011.02.015 Romano MC, 2013, ENRGY PROCED, V37, P7176, DOI 10.1016/j.egypro.2013.06.655 Rootzen J, 2013, ENERG POLICY, V59, P443, DOI 10.1016/j.enpol.2013.03.057 Rowe G, 2001, INT SER OPER RES MAN, V30, P125 Rowe G, 1999, INT J FORECASTING, V15, P353, DOI 10.1016/S0169-2070(99)00018-7 Rubin E., 2005, IPCC SPECIAL REPOR 2 Saima H, 2013, ENRGY PROCED, V37, P7152, DOI 10.1016/j.egypro.2013.06.652 Sano F, 2013, ENRGY PROCED, V37, P7582, DOI 10.1016/j.egypro.2013.06.702 Sato M., 2014, JFE TECHNICAL REPORT, V19 Singh B, 2011, INT J GREENH GAS CON, V5, P911, DOI 10.1016/j.ijggc.2011.03.012 Spigarelli BP, 2013, J CO2 UTIL, V1, P69, DOI 10.1016/j.jcou.2013.03.002 Sreenivasulu B, 2015, RENEW SUST ENERG REV, V41, P1324, DOI 10.1016/j.rser.2014.09.029 Steeper T, 2013, ENRGY PROCED, V37, P7454, DOI 10.1016/j.egypro.2013.06.688 Suopajarvi H, 2014, APPL ENERG, V124, P82, DOI 10.1016/j.apenergy.2014.03.008 Tanaka N., 2008, ENERGY TECHNOLOGY PE Tobiesen FA, 2007, IND ENG CHEM RES, V46, P7811, DOI 10.1021/ie06l556j Torp T.A., 2005, DRASTIC REDUCTION CO Tsupari E, 2013, INT J GREENH GAS CON, V16, P278, DOI 10.1016/j.ijggc.2012.08.017 Vlek M., 2007, THESIS EINDHOVEN U T Watson J, 2014, TECHNOL FORECAST SOC, V81, P192, DOI 10.1016/j.techfore.2013.04.016 Wilday J, 2014, PROCESS SAF ENVIRON, V92, P1, DOI 10.1016/j.psep.2013.11.007 Wortler M., 2013, STEELS CONTRIBUTION Xu CB, 2010, J IRON STEEL RES INT, V17, P1, DOI 10.1016/S1006-706X(10)60064-7 Zapp P, 2012, INT J GREENH GAS CON, V8, P12, DOI 10.1016/j.ijggc.2012.01.014 Zhang H, 2013, ENERG POLICY, V61, P1400, DOI 10.1016/j.enpol.2013.05.066 NR 88 TC 17 Z9 17 U1 2 U2 50 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD MAY 1 PY 2016 VL 120 BP 207 EP 220 DI 10.1016/j.jclepro.2015.10.056 PG 14 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DH3MK UT WOS:000372690900021 DA 2019-04-09 ER PT J AU Zatzick, DF Russo, J Darnell, D Chambers, DA Palinkas, L Van Eaton, E Wang, J Ingraham, LM Guiney, R Heagerty, P Comstock, B Whiteside, LK Jurkovich, G AF Zatzick, Douglas F. Russo, Joan Darnell, Doyanne Chambers, David A. Palinkas, Lawrence Van Eaton, Erik Wang, Jin Ingraham, Leah M. Guiney, Roxanne Heagerty, Patrick Comstock, Bryan Whiteside, Lauren K. Jurkovich, Gregory TI An effectiveness-implementation hybrid trial study protocol targeting posttraumatic stress disorder and comorbidity SO IMPLEMENTATION SCIENCE LA English DT Article DE Traumatic injury; Multiple chronic conditions; Posttraumatic stress disorder; Depression; Suicidal ideation; Substance abuse; Effectiveness-implementation hybrid; Pragmatic clinical trial; American College of Surgeons; Policy ID RANDOMIZED CONTROLLED-TRIAL; STEPPED COLLABORATIVE CARE; INJURED TRAUMA SURVIVORS; POLYTRAUMA-CLINICAL-TRIAD; TIME TRADE-OFF; BRIEF INTERVENTION; SUBSTANCE USE; PREVENTIVE INTERVENTIONS; FUNCTIONAL OUTCOMES; DEPRESSIVE SYMPTOMS AB Background: Each year in the USA, 1.5-2.5 million Americans are so severely injured that they require inpatient hospitalization. Multiple conditions including posttraumatic stress disorder (PTSD), alcohol and drug use problems, depression, and chronic medical conditions are endemic among physical trauma survivors with and without traumatic brain injuries. Methods/design: The trauma survivors outcomes and support (TSOS) effectiveness-implementation hybrid trial is designed to test the delivery of high-quality screening and intervention for PTSD and comorbidities across 24 US level I trauma center sites. The pragmatic trial aims to recruit 960 patients. The TSOS investigation employs a stepped wedge cluster randomized design in which sites are randomized sequentially to initiate the intervention. Patients identified by a 10-domain electronic health record screen as high risk for PTSD are formally assessed with the PTSD Checklist for study entry. Patients randomized to the intervention condition will receive stepped collaborative care, while patients randomized to the control condition will receive enhanced usual care. The intervention training begins with a 1-day on-site workshop in the collaborative care intervention core elements that include care management, medication, cognitive behavioral therapy, and motivational-interviewing elements targeting PTSD and comorbidity. The training is followed by site supervision from the study team. The investigation aims to determine if intervention patients demonstrate significant reductions in PTSD and depressive symptoms, suicidal ideation, alcohol consumption, and improvements in physical function when compared to control patients. The study uses implementation science conceptual frameworks to evaluate the uptake of the intervention model. At the completion of the pragmatic trial, results will be presented at an American College of Surgeons' policy summit. Twenty-four representative US level I trauma centers have been selected for the study, and the protocol is being rolled out nationally. Discussion: The TSOS pragmatic trial simultaneously aims to establish the effectiveness of the collaborative care intervention targeting PTSD and comorbidity while also addressing sustainable implementation through American College of Surgeons' regulatory policy. The TSOS effectiveness-implementation hybrid design highlights the importance of partnerships with professional societies that can provide regulatory mandates targeting enhanced health care system sustainability of pragmatic trial results. C1 [Zatzick, Douglas F.; Russo, Joan; Darnell, Doyanne; Ingraham, Leah M.; Guiney, Roxanne] Univ Washington, Dept Psychiat & Behav Sci, 325 Ninth Ave,Box 359911, Seattle, WA 98104 USA. [Chambers, David A.] NCI, Div Canc Control & Populat Sci, BG 9609 MSC 9760,9609 Med Ctr Dr, Bethesda, MD 20892 USA. [Palinkas, Lawrence] Univ So Calif, Sch Social Work, Montgomery Ross Fisher Bldg,Room 339, Los Angeles, CA 90089 USA. [Van Eaton, Erik] Univ Washington, Dept Surg, 325 Ninth Ave,Box 359796, Seattle, WA 98104 USA. [Zatzick, Douglas F.; Wang, Jin] Univ Washington, Harborview Injury Prevent Res Ctr, 325 Ninth Ave,Box 359960, Seattle, WA 98104 USA. [Heagerty, Patrick; Comstock, Bryan] Univ Washington, Dept Biostat, 1705 NE Pacific St,Box 357232, Seattle, WA 98195 USA. [Whiteside, Lauren K.] Univ Washington, Div Emergency Med, 25 Ninth Ave,Box 359702, Seattle, WA 98104 USA. [Jurkovich, Gregory] Univ Calif Davis, Dept Surg, 2221 Stockton Blvd,Cypress 3111, Sacramento, CA 95817 USA. RP Zatzick, DF (reprint author), Univ Washington, Dept Psychiat & Behav Sci, 325 Ninth Ave,Box 359911, Seattle, WA 98104 USA.; Zatzick, DF (reprint author), Univ Washington, Harborview Injury Prevent Res Ctr, 325 Ninth Ave,Box 359960, Seattle, WA 98104 USA. EM dzatzick@uw.edu OI Whiteside, Lauren/0000-0002-0284-5336 FU National Institutes of Health (NIH) Common Fund, through Office of Strategic Coordination within the Office of the NIH Director [U54 AT007748, 1UH2MH106338-01/4UH3MH106338-02]; National Institute of Mental Health [1 K24MH086814-01A1] FX This work is supported by the National Institutes of Health (NIH) Common Fund, through cooperative agreements (U54 AT007748, 1UH2MH106338-01/4UH3MH106338-02) from the Office of Strategic Coordination within the Office of the NIH Director, and the National Institute of Mental Health (1 K24MH086814-01A1). The views presented here are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health. CR Adams GA, 1998, PERS PSYCHOL, V51, P643, DOI 10.1111/j.1744-6570.1998.tb00255.x Adams JG, 2013, JAMA-J AM MED ASSOC, V309, P1173, DOI 10.1001/jama.2013.2476 American College of Surgeons Commitee on Trauma, 2014, RES OPT CAR INJ PAT American College of Surgeons Committee on Trauma, 2006, RES OPT CAR INJ PAT [Anonymous], 1999, RES OPT CAR INJ PAT Babor TF, 1989, ALCOHOL USE DISORDER Badia X, 1999, QUAL LIFE RES, V8, P303, DOI 10.1023/A:1008952423122 Benner PE, 1994, INTERPRETIVE PHENOME Bergen GS, 2008, DHHS PUBLICATION, V2008-1033 Bergman Karen, 2010, J Trauma Nurs, V17, P102, DOI 10.1097/JTN.0b013e3181ecc452 Bindman AB, 2013, JAMA-J AM MED ASSOC, V310, P1125, DOI 10.1001/jama.2013.276525 BONNIE RJ, 1999, REDUCING BURDEN INJU Bosch M, 2014, TRIALS, V15, DOI 10.1186/1745-6215-15-281 Boye KS, 2014, EXPERT REV PHARM OUT, V14, P437, DOI 10.1586/14737167.2014.912562 Bradley K, 2014, RESULTS POPULATION B Bride BE, 2004, RES SOCIAL WORK PRAC, V14, P27, DOI 10.1177/1049731503254106 Bruce ML, 2004, JAMA-J AM MED ASSOC, V291, P1081, DOI 10.1001/jama.291.9.1081 Burke RE, 2013, JAMA INTERN MED, V173, P695, DOI 10.1001/jamainternmed.2013.171 Caldwell SD, 2004, J APPL PSYCHOL, V89, P868, DOI 10.1037/0021-9010.89.5.868 Creswell J. W., 1998, QUALITATIVE INQUIRY Creswell J. W, 2011, DESIGNING CONDUCTING Curran GM, 2012, MED CARE, V50, P217, DOI 10.1097/MLR.0b013e3182408812 Darnell D, 2016, J SUBST ABUSE TREAT, V60, P36, DOI 10.1016/j.jsat.2015.05.010 Dobscha SK, 2009, JAMA-J AM MED ASSOC, V301, P1242, DOI 10.1001/jama.2009.377 Donner A, 2000, DESIGN ANAL CLUSTER English M, 2011, IMPLEMENT SCI, V6, DOI 10.1186/1748-5908-6-124 Faul M., 2010, TRAUMATIC BRAIN INJU Federal Coordinating Council for Comparative Effectiveness Research, 2009, REP PRES C Finley EP, 2015, AM J PUBLIC HEALTH, V105, P380, DOI 10.2105/AJPH.2014.301957 Fixsen DL, 2005, IMPLEMENTATION RES S FOLSTEIN MF, 1975, J PSYCHIAT RES, V12, P189, DOI 10.1016/0022-3956(75)90026-6 Frankel HL, 2012, J TRAUMA ACUTE CARE, V73, P20, DOI 10.1097/TA.0b013e31825a78d5 Gentilello LM, 1999, ANN SURG, V230, P473, DOI 10.1097/00000658-199910000-00003 Glasgow RE, 1999, AM J PUBLIC HEALTH, V89, P1322, DOI 10.2105/AJPH.89.9.1322 Glasgow RE, 2012, CTS-CLIN TRANSL SCI, V5, P48, DOI 10.1111/j.1752-8062.2011.00383.x Greenhalgh T, 2004, MILBANK Q, V82, P581, DOI 10.1111/j.0887-378X.2004.00325.x Grol RPTM, 2007, MILBANK Q, V85, P93, DOI 10.1111/j.1468-0009.2007.00478.x Hemming K, 2014, STATA J, V14, P363, DOI 10.1177/1536867X1401400208 Hogan SJ, 2014, J BUS RES, V67, P1609, DOI 10.1016/j.jbusres.2013.09.007 Hoge CW, 2008, NEW ENGL J MED, V358, P453, DOI 10.1056/NEJMoa072972 Hom P. W., 1995, EMPLOYEE TURNOVER Hughes JP, 2015, CONTEMP CLIN TRIALS, V45, P55, DOI 10.1016/j.cct.2015.07.006 Hussey MA, 2007, CONTEMP CLIN TRIALS, V28, P182, DOI 10.1016/j.cct.2006.05.007 Institute of Medicine, 2008, LEARN HEALTHC SYST C Johnson KE, 2014, BMJ-BRIT MED J, V349, DOI 10.1136/bmj.g6826 Joseph B, 2014, J TRAUMA ACUTE CARE, V77, P148, DOI 10.1097/TA.0000000000000271 Katon W, 1997, GEN HOSP PSYCHIAT, V19, P169, DOI 10.1016/S0163-8343(97)00016-9 Katon W, 2001, ARCH GEN PSYCHIAT, V58, P241, DOI 10.1001/archpsyc.58.3.241 Katon W, 1999, ARCH GEN PSYCHIAT, V56, P1109, DOI 10.1001/archpsyc.56.12.1109 KATON W, 1995, JAMA-J AM MED ASSOC, V273, P1026, DOI 10.1001/jama.273.13.1026 Katon WJ, 2010, NEW ENGL J MED, V363, P2611, DOI 10.1056/NEJMoa1003955 Katon WJ, 2004, ARCH GEN PSYCHIAT, V61, P1042, DOI 10.1001/archpsyc.61.10.1042 KESSLER RC, 1995, ARCH GEN PSYCHIAT, V52, P1048, DOI 10.1001/archpsyc.1995.03950240066012 Kessler RC, 2005, ARCH GEN PSYCHIAT, V62, P593, DOI 10.1001/archpsyc.62.6.593 Khoury AL, 2013, J TRAUMA ACUTE CARE, V75, P512, DOI 10.1097/TA.0b013e3182924977 Koepsell TD, 2011, AM J PREV MED, V40, P191, DOI 10.1016/j.amepre.2010.10.022 Krebs EE, 2010, MED CARE, V48, P1007, DOI 10.1097/MLR.0b013e3181eaf835 Krebs EE, 2009, J GEN INTERN MED, V24, P733, DOI 10.1007/s11606-009-0981-1 Kroenke K, 2001, J GEN INTERN MED, V16, P606, DOI 10.1046/j.1525-1497.2001.016009606.x Kroenke K, 2010, JAMA-J AM MED ASSOC, V304, P163, DOI 10.1001/jama.2010.944 Krug EG, 2000, AM J PUBLIC HEALTH, V90, P523, DOI 10.2105/AJPH.90.4.523 Kuehn BM, 2013, JAMA-J AM MED ASSOC, V309, P2425, DOI 10.1001/jama.2013.6494 Love J, 2014, PSYCHIAT SERV, V65, P918, DOI 10.1176/appi.ps.201300399 MacKenzie EJ, 2006, NEW ENGL J MED, V354, P366, DOI 10.1056/NEJMsa052049 MacKenzie EJ, 2002, J TRAUMA, V52, P527, DOI 10.1097/00005373-200203000-00018 MACKENZIE EJ, 1989, J TRAUMA, V29, P757, DOI 10.1097/00005373-198906000-00011 March J, 2010, NEUROPSYCHOPHARMACOL, V35, P2491, DOI 10.1038/npp.2010.115 McCaig LF, 1994, ADV DATA VITAL HLTH Mdege ND, 2011, J CLIN EPIDEMIOL, V64, P936, DOI 10.1016/j.jclinepi.2010.12.003 Michaels AJ, 1999, J TRAUMA, V47, P460, DOI 10.1097/00005373-199909000-00005 Miles M. B., 1994, QUALITATIVE DATA ANA Mobley W., 1982, EMPLOYEE TURNOVER CA Murray D. M, 1998, DESIGN ANAL GROUP RA Murray DM, 2008, J NATL CANCER I, V100, P483, DOI 10.1093/jnci/djn066 Murray DM, 2004, AM J PUBLIC HEALTH, V94, P423, DOI 10.2105/AJPH.94.3.423 National Center for Complementary and Alternative Medicine, 2012, RFARM12002 NAT CTR C National Center for Injury Prevention, 2012, CDC 2012 National Institute of Neurological Disorders and Stroke, 2009, TRAUM BRAIN INJ HOP Nilsen P, 2015, IMPLEMENT SCI, V10, DOI 10.1186/s13012-015-0242-0 Norton R, 2013, NEW ENGL J MED, V368, P1723, DOI 10.1056/NEJMra1109343 O'Connor SS, 2014, SUICIDE LIFE-THREAT, V44, P473, DOI 10.1111/sltb.12085 Palinkas Lawrence A, 2004, Prehosp Disaster Med, V19, P113 Palinkas LA, 2011, PSYCHIAT SERV, V62, P255, DOI 10.1176/ps.62.3.pss6203_0255 Palinkas LA, 2011, ADM POLICY MENT HLTH, V38, P44, DOI 10.1007/s10488-010-0314-z Parekh AK, 2011, PUBLIC HEALTH REP, V126, P460, DOI 10.1177/003335491112600403 Peek CJ., 2011, COLLABORATIVE CARE L Proctor E, 2010, ADM POLICY MENT HLTH Pugh MJV, 2014, MED CARE, V52, P172, DOI 10.1097/MLR.0000000000000059 Raghavan R., 2012, DISSEMINATION IMPLEM, P94 Ramstad SM, 2004, J TRAUMA STRESS, V17, P529, DOI 10.1007/s10960-004-5802-z Raudenbush SW, 2000, PSYCHOL METHODS, V5, P199, DOI 10.1037//1082-989X.5.2.199 Reinert DF, 2007, ALCOHOL CLIN EXP RES, V31, P185, DOI 10.1111/j.1530-0277.2006.00295.x Rice Dorothy P., 1989, COST INJURY US REPOR Richardson LP, 2010, PEDIATRICS, V126, P1117, DOI 10.1542/peds.2010-0852 Richesson RL, 2013, J AM MED INFORM ASSN, V20, pE226, DOI 10.1136/amiajnl-2013-001926 Rogers E.M., 1995, DIFFUSION INNOVATION Rollman BL, 2005, ARCH GEN PSYCHIAT, V62, P1332, DOI 10.1001/archpsyc.62.12.1332 Rollman BL, 2009, JAMA-J AM MED ASSOC, V302, P2095, DOI 10.1001/jama.2009.1670 Roy-Byrne P, 2010, JAMA-J AM MED ASSOC, V303, P1921, DOI 10.1001/jama.2010.608 Russo J, 2013, GEN HOSP PSYCHIAT, V35, P485, DOI 10.1016/j.genhosppsych.2013.04.016 Sacks GD, 2011, J TRAUMA, V71, P1011, DOI 10.1097/TA.0b013e3182092c27 Saldana L, 2014, CHILD YOUTH SERV REV, V39, P177, DOI 10.1016/j.childyouth.2013.10.006 Scrimshaw N., 1992, RAPID ASSESSMENT PRO Shafi S, 2012, J TRAUMA ACUTE CARE, V73, P1303, DOI 10.1097/TA.0b013e318265d219 Shafi S, 2010, J TRAUMA, V69, P1367, DOI 10.1097/TA.0b013e3181fb785d SKINNER HA, 1982, ADDICT BEHAV, V7, P363, DOI 10.1016/0306-4603(82)90005-3 Soderstrom CA, 1997, JAMA-J AM MED ASSOC, V277, P1769, DOI 10.1001/jama.277.22.1769 Tavender EJ, 2015, IMPLEMENT SCI, V10, DOI 10.1186/s13012-015-0264-7 Tavender EJ, 2014, IMPLEMENT SCI, V9, DOI 10.1186/1748-5908-9-8 TEASDALE G, 1974, LANCET, V2, P81 Terrell F, 2008, J AM COLL SURGEONS, V207, P630, DOI 10.1016/j.jamcollsurg.2008.05.021 The Johns Hopkins Health Services Research and Development Center, 1989, DET INJ SEV HOSP SIS Thorpe KE, 2009, J CLIN EPIDEMIOL, V62, P464, DOI 10.1016/j.jclinepi.2008.12.011 Tunis SR, 2003, JAMA-J AM MED ASSOC, V290, P1624, DOI 10.1001/jama.290.12.1624 U. S. Department of Health & Human Services, 2010, MULTIPLE CHRONIC CON United States. President's Commission on Care for America's Returning Wounded Warriors, 2007, SERV SUPP SIMPL REP Unutzer J, 2002, PSYCHIATR SERV, V53, P671, DOI 10.1176/appi.ps.53.6.671 Unutzer J, 2002, JAMA-J AM MED ASSOC, V288, P2836, DOI 10.1001/jama.288.22.2836 Van Eaton EG, 2014, J AM COLL SURGEONS, V219, P505, DOI 10.1016/j.jamcollsurg.2014.02.032 Vashi AA, 2013, JAMA-J AM MED ASSOC, V309, P364, DOI 10.1001/jama.2012.216219 Wallace RB, 2013, CENT DIS CONTROL PRE, V10, P5 Ware J. E., 1993, SF 36 HLTH SURVEY MA Ware JE, 1996, MED CARE, V34, P220, DOI 10.1097/00005650-199603000-00003 Weathers F, 1996, MEASUREMENT STRESS T, P250 Weathers F. M., 1991, PTSD CHECKLIST CIVIL, p[150, 02130] Weathers FW, 1994, SAN ANT TX 9 ANN M I Wells KB, 2000, JAMA-J AM MED ASSOC, V283, P212, DOI 10.1001/jama.283.2.212 Woertman W, 2013, J CLIN EPIDEMIOL, V66, P752, DOI 10.1016/j.jclinepi.2013.01.009 World Health Organization, 2012, DIS INJ COUNTR EST Wright DR, 2009, PHARMACOECONOMICS, V27, P713, DOI 10.2165/11317060-000000000-00000 Zatzick CD, 2003, ORGAN SCI, V14, P483, DOI 10.1287/orsc.14.5.483.16768 Zatzick CD, 2011, SAN TX AC MAN ANN M Zatzick CD, 2013, HEALTH CARE MANAGE R, V38, P115, DOI 10.1097/HMR.0b013e318249aa60 Zatzick D, 2004, ARCH GEN PSYCHIAT, V61, P498, DOI 10.1001/archpsyc.61.5.498 Zatzick DF, 2006, CLIN PSYCHOL-SCI PR, V13, P53, DOI 10.1111/j.1468-2850.2006.00006.x Zatzick DF, 2002, ARCH SURG-CHICAGO, V137, P200, DOI 10.1001/archsurg.137.2.200 Zatzick DF, 2002, AM J PSYCHIAT, V159, P941, DOI 10.1176/appi.ajp.159.6.941 Zatzick DF, 2001, MED CARE, V39, P327, DOI 10.1097/00005650-200104000-00004 Zatzick DF, 2001, GEN HOSP PSYCHIAT, V23, P114, DOI 10.1016/S0163-8343(01)00140-2 Zatzick D, 2008, ANN SURG, V248, P429, DOI 10.1097/SLA.0b013e318185a6b8 Zatzick D, 2015, J TRAUMA STRESS, V28, P391, DOI 10.1002/jts.22041 Zatzick D, 2014, JAMA PEDIATR, V168, P532, DOI 10.1001/jamapediatrics.2013.4784 Zatzick D, 2014, ADDICTION, V109, P754, DOI 10.1111/add.12492 Zatzick D, 2013, ANN SURG, V257, P390, DOI 10.1097/SLA.0b013e31826bc313 Zatzick D, 2012, J SUBST ABUSE TREAT, V43, P410, DOI 10.1016/j.jsat.2012.08.009 Zatzick D, 2011, GEN HOSP PSYCHIAT, V33, P123, DOI 10.1016/j.genhosppsych.2011.01.001 Zatzick DF, 2007, PSYCHOL MED, V37, P1469, DOI 10.1017/S0033291707000943 Zatzick DF, 2007, PSYCHIATRY, V70, P260, DOI 10.1521/psyc.2007.70.3.260 Zatzick DF, 2013, GEN HOSP PSYCHIAT, V35, P174, DOI 10.1016/j.genhosppsych.2012.11.012 Zatzick DF, 2010, ARCH GEN PSYCHIAT, V67, P1291, DOI 10.1001/archgenpsychiatry.2010.158 Zatzick DF, 2009, PSYCHIATRY, V72, P346, DOI 10.1521/psyc.2009.72.4.346 Zwarenstein M, 2008, BRIT MED J, V337, DOI 10.1136/bmj.a2390 NR 152 TC 8 Z9 8 U1 3 U2 17 PU BIOMED CENTRAL LTD PI LONDON PA 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND SN 1748-5908 J9 IMPLEMENT SCI JI Implement. Sci. PD APR 30 PY 2016 VL 11 AR 58 DI 10.1186/s13012-016-0424-4 PG 16 WC Health Care Sciences & Services; Health Policy & Services SC Health Care Sciences & Services GA DK7MO UT WOS:000375110000001 PM 27130272 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Allinne, C Savary, S Avelino, J AF Allinne, C. Savary, S. Avelino, J. TI Delicate balance between pest and disease injuries, yield performance, and other ecosystem services in the complex coffee-based systems of Costa Rica SO AGRICULTURE ECOSYSTEMS & ENVIRONMENT LA English DT Article DE Coffea Arabica; Agroforestry systems; Biodiversity; Shade; Yield loss; Trade-off; Crop management ID AGROFORESTRY SYSTEMS; CURRENT KNOWLEDGE; CROP MANAGEMENT; LEAF RUST; BIODIVERSITY; LOSSES; SUSTAINABILITY; SHADE; QUANTIFICATION; PRODUCTIVITY AB Pests and diseases are the main yield-reducing factors in simplified agricultural systems. Their role in complex, diverse, agricultural systems may, however, be less apparent because of the many interactions in which they are involved. However, it is essential to understand the relationships between pests and diseases, on the one hand, and ecosystem services (including crop production), on the other, to develop sustainable agroecosystems. Our study aims to illustrate these complex relationships based on the example of coffee agroecosystems in Costa Rica. We analysed a dataset consisting of 107 coffee plots characterized for their topoclimates, soils, coffee plant production characteristics, cropping practices, and pest and disease injuries. Meta-variables were created through cluster analyses to account for these different broad attributes of coffee-based agroecosystems. In particular, coffee injury profiles were determined on the basis of injury levels incurred by pathogens, nematodes, and insects over the course of one growing season. We used correspondence analysis to assess the levels of linkage between injury profiles and other agroecosystem meta-variables. Indicators of biodiversity based on shade diversity and of attainable yield were incorporated in the analysis as additional variables. Four groups of coffee-based agrosystems were identified, ranging from extensive (low-input, perennial polyculture) to intensive (unshaded high-input monoculture). Each group of coffee-based agroecosystem corresponds to varying levels of pest and disease injuries, crop yield, and ecosystem service provision, excluding coffee production. In each group of coffee-based agrosystem, we discussed the drivers of coffee production and explored potential avenues to improve sustainability based on ecosystem services provision. We highlighted that the physical characteristics of the environment, topoclimate and soil characteristics, are the main drivers of injury profiles and of resulting yield losses. Cropping practices and pest and disease management first need to be adapted to these physical characteristics. Where topoclimate and soils favour pest and disease development, potentially leading to heavy yield losses, system diversification can enhance ecosystem service provision, including production of other crops, thus helping to offset low coffee production. Where physical environmental characteristics hamper pests and diseases, increasing ecosystem service provision by incorporating shade trees may be considered, provided that coffee production is not significantly reduced. We conclude that there is an acute need to quantify losses caused by pests and diseases in agroforestry systems, in order to provide a rational basis for growers' decisions and to better determine the value of economic incentives needed for ecosystem service provision. (C) 2016 Elsevier B.V. All rights reserved. C1 [Allinne, C.] CIRAD UMR Syst SupAgro, Batiment 27-2,Pl Viala, F-34060 Montpellier, France. [Allinne, C.; Avelino, J.] CATIE, DID 7170 Cartago, Turrialba 30501, Costa Rica. [Savary, S.] INRA, AGIR UMR1248, 24 Chemin Borde Rouge,CS52627, F-31326 Castanet Tolosan, France. [Avelino, J.] CIRAD, Bioagresseurs Anal & Maitrise Risque UR106, TA A-106 Ave Agropolis, F-34398 Montpellier 5, France. [Avelino, J.] IICA PROMECAFE, AP 55, San Jose 2200, Costa Rica. RP Allinne, C (reprint author), CATIE, 7170 Turrialba, Turrialba 30501, Costa Rica. EM clementine.allinne@cirad.fr RI Avelino, Jacques/C-5624-2009 OI Avelino, Jacques/0000-0003-1983-9431; Allinne, Clementine/0000-0002-8147-5977 CR Altieri MA, 1999, AGR ECOSYST ENVIRON, V74, P19, DOI 10.1016/S0167-8809(99)00028-6 Arcila-Pulgarin J, 2002, ANN APPL BIOL, V141, P19, DOI 10.1111/j.1744-7348.2002.tb00191.x Avelino J, 2006, ECOL MODEL, V197, P431, DOI 10.1016/j.ecolmodel.2006.03.013 Avelino J, 2004, PLANT PATHOL, V53, P541, DOI 10.1111/j.1365-3059.2004.01067.x Avelino J, 1999, DESAFIOS CAFICULTURA, P194 Avelino J, 2011, ECOSYSTEM SERVICES A, P91 Avelino J, 2007, PHYTOPATHOLOGY, V97, P1532, DOI 10.1094/PHYTO-97-12-1532 Avelino J, 2015, FOOD SECUR, V7, P303, DOI 10.1007/s12571-015-0446-9 Avelino J, 2012, ECOL APPL, V22, P584, DOI 10.1890/11-0869.1 Avelino J, 2009, APPL SOIL ECOL, V43, P95, DOI 10.1016/j.apsoil.2009.06.006 Bates D, 2013, LINEAR MIXED EFFECTS Brenda B.L., 2007, AGR FOR METEOROL, V144, P85 Castro B., 1991, AVANCES TECNICOS CEN, V160, P4 Cheatham MR, 2009, PHYTOPATHOLOGY, V99, P1228, DOI 10.1094/PHYTO-99-11-1228 Cramer H.H., 1967, PLANT PROTECTION WOR, P542 de Souza HN, 2012, AGROFOREST SYST, V84, P227, DOI 10.1007/s10457-011-9452-x Deheuvels O, 2012, AGR ECOSYST ENVIRON, V149, P181, DOI 10.1016/j.agee.2011.03.003 Finke DL, 2002, ECOLOGY, V83, P643 Hooper DU, 2005, ECOL MONOGR, V75, P3, DOI 10.1890/04-0922 Husson F., 2012, FACTOMINER MULTIVARI Jackson D, 2012, BIOL CONTROL, V61, P89, DOI 10.1016/j.biocontrol.2012.01.004 Karp DS, 2013, ECOL LETT, V16, P1339, DOI 10.1111/ele.12173 Le Coq J., 2011, ECOSYSTEM SERVICES A, P237 Lopez-Bravo DF, 2012, CROP PROT, V38, P21, DOI 10.1016/j.cropro.2012.03.011 Loreau M, 2001, SCIENCE, V294, P804, DOI 10.1126/science.1064088 Malezieux E, 2009, AGRON SUSTAIN DEV, V29, P43, DOI 10.1051/agro:2007057 Malezieux E, 2012, AGRON SUSTAIN DEV, V32, P15, DOI 10.1007/s13593-011-0027-z Martin EA, 2013, P NATL ACAD SCI USA, V110, P5534, DOI 10.1073/pnas.1215725110 Muller R. A., 2009, Coffee: growing, processing, sustainable production. A guidebook for growers, processors, traders and researchers, P495 Oerke EC, 2006, J AGR SCI, V144, P31, DOI 10.1017/S0021859605005708 Oliveira C.A., 2001, 2 S PESQ CAF BRAS SI, V181 Penning de Vries FWT, 1982, SIMULATION PLANT GRO, P9 Perfecto I, 2005, ECOL ECON, V54, P435, DOI 10.1016/j.ecolecon.2004.10.009 Power A.G., 2010, PHIL T R SOC B, V365, P13 Rao D.V., 1987, PRODUCTION OXALIC AC Rao MR, 1997, AGROFOREST SYST, V38, P3, DOI 10.1023/A:1005971525590 Ratnadass A, 2012, AGRON SUSTAIN DEV, V32, P273, DOI 10.1007/s13593-011-0022-4 Savary S, 1997, CROP PROT, V16, P387, DOI 10.1016/S0261-2194(96)00108-1 Savary S, 1998, PLANT DIS, V82, P705, DOI 10.1094/PDIS.1998.82.6.705 Savary S, 2006, EUR J PLANT PATHOL, V115, P123, DOI 10.1007/s10658-005-0651-z Savary S, 2006, ANNU REV PHYTOPATHOL, V44, P89, DOI 10.1146/annurev.phyto.44.070505.143342 Schroth G, 2000, AGROFOREST SYST, V50, P199, DOI 10.1023/A:1006468103914 Siles P, 2010, AGROFOREST SYST, V78, P269, DOI 10.1007/s10457-009-9241-y Stayer C., 2001, AGROFOREST SYST, V53, P151 Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014 Tilman D, 1996, NATURE, V379, P718, DOI 10.1038/379718a0 Toledo VM, 2012, J SUSTAIN AGR, V36, P353, DOI 10.1080/10440046.2011.583719 Tscharntke T, 2011, J APPL ECOL, V48, P619, DOI 10.1111/j.1365-2664.2010.01939.x UPRETI G, 1991, FOURTEENTH INTERNATIONAL CONFERENCE ON COFFEE SCIENCE, P585 Villain L, 2000, NEMATROPICA, V2000, P13 Waller J. M., 2007, COFFEE PESTS DIS THE, P434 ZADOKS J C, 1979, P427 NR 52 TC 10 Z9 10 U1 8 U2 66 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0167-8809 EI 1873-2305 J9 AGR ECOSYST ENVIRON JI Agric. Ecosyst. Environ. PD APR 15 PY 2016 VL 222 BP 1 EP 12 DI 10.1016/j.agee.2016.02.001 PG 12 WC Agriculture, Multidisciplinary; Ecology; Environmental Sciences SC Agriculture; Environmental Sciences & Ecology GA DX4XE UT WOS:000384383600001 DA 2019-04-09 ER PT J AU Sun, SK Wang, YB Engel, BA Wu, P AF Sun, Shikun Wang, Yubao Engel, Bernie A. Wu, Pute TI Effects of virtual water flow on regional water resources stress: A case study of grain in China SO SCIENCE OF THE TOTAL ENVIRONMENT LA English DT Article DE Virtual water; Water resources; Impacts; Water stress index; China ID USE EFFICIENCY; TRADE; POLICY; METAPHOR; WORLD; FOOD AB Scarcity of water resources is one of the major challenges in the world, particularly for the main water consumer, agriculture. Virtual water flow (VWF) promotes water redistribution geographically and provides a new solution for resolving regional water shortage and improving water use efficiency in the world. Virtual water transfer among regions will have a significant influence on the water systems in both grain export and import regions. In order to assess the impacts of VWF related grain transfer on regional water resources conditions, the study takes mainland China as study area for a comprehensive evaluation of virtual water flow on regional water resources stress. Results show that Northeast China and Huang-Huai-Hai region are the major grain production regions as well as the major virtual water export regions. National water savings related to grain VWF was about 58 Gm(3), with 48 Gm(3) blue water and 10 Gm(3) green water. VWF changes the original water distribution and has a significant effect on water resources in both virtual water import and export regions. Grain VWF significantly increased water stress in grain export regions and alleviated water stress in grain import regions. Water stress index (WSI) of Heilongjiang and Inner Mongolia has been increased by 138% and 129% due to grain export. Stress from water shortages is generally severe in export regions, and issues with the sustainability of grain production and VWF pattern are worthy of further exploration. (C) 2016 Elsevier B.V. All rights reserved. C1 [Sun, Shikun; Wang, Yubao; Wu, Pute] Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid Area, Yangling 712100, Shaanxi, Peoples R China. [Sun, Shikun; Wang, Yubao; Wu, Pute] Northwest A&F Univ, Inst Water Saving Agr Arid Reg China, Yangling 712100, Shaanxi, Peoples R China. [Wang, Yubao; Engel, Bernie A.] Purdue Univ, Dept Agr & Biol Engn, W Lafayette, IN 47906 USA. RP Wang, YB (reprint author), Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Peoples R China. EM yubaowang75@gmail.com OI Wu, Pute/0000-0002-4682-6145 FU National Natural Science Foundation of China [51409218]; Special Foundation of National Science & Technology Supporting Plan [2011BAD29B09]; Fundamental Research Funds for the Central Universities [2014YB050, 2452015365]; 111 Project [B12007] FX This work is jointly supported by the National Natural Science Foundation of China (51409218), Special Foundation of National Science & Technology Supporting Plan (2011BAD29B09), the Fundamental Research Funds for the Central Universities (2014YB050, 2452015365) and the 111 Project (B12007). CR ALDAYA MM, 2010, WATER RESOUR MANAG, V24, P941, DOI DOI 10.1007/S11269-009-9480-8 Allan JA, 2003, WATER INT, V28, P106, DOI 10.1080/02508060.2003.9724812 Allan JA, 1998, GROUND WATER, V36, P545, DOI 10.1111/j.1745-6584.1998.tb02825.x Barnett TP, 2005, NATURE, V438, P303, DOI 10.1038/nature04141 Chapagain A.K., 2005, SAVING WATER GLOBAL Chapagain A.K., 2003, VIRTUAL WATER FLOWS Chen ZM, 2013, ECOL INDIC, V28, P142, DOI 10.1016/j.ecolind.2012.07.024 Cheng Y. Q., 2005, SCI GEOGRAPHICA SINI, V25, P513 Duarte R, 2016, ECOL INDIC, V61, P980, DOI 10.1016/j.ecolind.2015.10.056 Food and Agricultural Organization (FAO) International Fund for Agricultural Development (IFAD) and World Food Program (WFP), 2015, STAT FOOD INS WORLD Gao Y, 2014, AGR FOREST METEOROL, V195, P32, DOI 10.1016/j.agrformet.2014.04.010 Hoekstra A.Y, 2011, WATER FOOTPRINT ASSE Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688 Hoekstra AY, 2005, GLOBAL ENVIRON CHANG, V15, P45, DOI 10.1016/j.gloenvcha.2004.06.004 Hung P., 2002, VIRTUAL WATER TRADE Jiang YK, 2015, J CLEAN PROD, V87, P655, DOI 10.1016/j.jclepro.2014.10.074 Konar M, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR010307 Liu J, 2015, J ARID ENVIRON, V119, P31, DOI 10.1016/j.jaridenv.2015.03.009 Ma J, 2006, PHILOS T R SOC B, V361, P835, DOI 10.1098/rstb.2005.1644 Misra A. K., 2014, INT J SUSTAINABLE BU, V3, P153, DOI DOI 10.1016/J.IJSBE.2014.04.006 Molden D, 2007, TRENDS WATER AGR DEV MWRC, 2011, CHIN WAT RES B 2010 NBSC (National Bureau of Statistics of China), 2011, CHIN STAT YB 2011 Rockstrom J, 2001, PHYS CHEM EARTH PT B, V26, P843, DOI 10.1016/S1464-1909(01)00096-X RSES-NBSC (The rural social economic survey of the National Bureau of Statistics of China), 2011, CHIN RUR STAT YB 201 Smakhtin V, 2005, TAKING ACCOUNT ENV W Sun SK, 2013, J SCI FOOD AGR, V93, P1427, DOI 10.1002/jsfa.5911 Wang YB, 2014, ECOL ENG, V69, P255, DOI 10.1016/j.ecoleng.2014.03.057 Wichelns D, 2005, WATER INT, V30, P428, DOI 10.1080/02508060508691887 Wichelns D, 2004, AGR WATER MANAGE, V66, P49, DOI 10.1016/j.agwat.2003.09.006 Wu P.T., 2012, WATER FOOTPRINT GRAI Yang H, 2006, HYDROL EARTH SYST SC, V10, P443, DOI 10.5194/hess-10-443-2006 Yang H., 2007, WATER RESOUR RES, P43 YEC-CWR (Yearbook Editorial Committee of China Water Resources), 2011, YB CHIN WAT RES 2010 NR 34 TC 24 Z9 29 U1 5 U2 75 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0048-9697 EI 1879-1026 J9 SCI TOTAL ENVIRON JI Sci. Total Environ. PD APR 15 PY 2016 VL 550 BP 871 EP 879 DI 10.1016/j.scitotenv.2016.01.016 PG 9 WC Environmental Sciences SC Environmental Sciences & Ecology GA DF3EM UT WOS:000371226700086 PM 26851759 DA 2019-04-09 ER PT J AU Andersson, TD Armbrecht, J Lundberg, E AF Andersson, Tommy D. Armbrecht, John Lundberg, Erik TI Triple impact assessments of the 2013 European athletics indoor championship in Gothenburg SO SCANDINAVIAN JOURNAL OF HOSPITALITY AND TOURISM LA English DT Article DE Sweden; CBA; WTP; Sustainability; non-use value; economic impact; event; tourism; sports ID CONTINGENT VALUATION; ECOLOGICAL FOOTPRINT; RESIDENTS PERCEPTIONS; ECONOMIC-IMPACT; TOURISM; EVENTS; SUSTAINABILITY; POLICY; TOOL AB This study answers the call for holistic assessments of events' sustainability through testing a model for measuring impacts of a sports tourism event from sustainability perspectives and in a common monetary metric. The aim is to achieve commensurability through integration of economic, sociocultural and environmental impacts. Concepts such as use- and non-use value, consumer surplus, direct economic impacts, ecological footprint analysis and shadow cost are applied to fulfil this aim. The model is tested on a three-day long European athletics indoor championship 2013 and the results demonstrate a possibility to produce a sustainability impact analysis in a uniform metric. Measured in monetary terms, sociocultural impacts carry more weight than economic impacts do, whereas environmental impacts have little importance for the total assessment. The assessment of event impacts in one common metric paves the way for destinations to trade-off alternatives and develop clear-cut strategies to increase social, economic and environmental welfare. It is suggested that prices on the market for emission rights severely underestimate environmental costs. C1 [Andersson, Tommy D.; Armbrecht, John; Lundberg, Erik] Univ Gothenburg, Sch Business Econ & Law, Gothenburg, Sweden. RP Andersson, TD (reprint author), Univ Gothenburg, Sch Business Econ & Law, Gothenburg, Sweden. EM tommy.andersson@handels.gu.se OI Armbrecht, John/0000-0001-9123-4969; Lundberg, Erik/0000-0003-4158-6004 CR Andersson TD, 2013, TOURISM MANAGE, V37, P99, DOI 10.1016/j.tourman.2012.12.015 Andersson TD, 2012, SCAND J HOSP TOUR, V12, P215, DOI 10.1080/15022250.2012.725276 AP J, 1992, ANN TOURISM RES, V19, P665, DOI 10.1016/0160-7383(92)90060-3 Armbrecht J., 2012, VALUE CULTURAL I MEA Armbrecht J, 2014, TOURISM MANAGE, V42, P141, DOI 10.1016/j.tourman.2013.11.010 Baade RA, 2004, REG STUD, V38, P343, DOI 10.1080/03434002000213888 Barget E, 2007, J SPORT ECON, V8, P165, DOI 10.1177/1527002505279349 BATEMAN I, 1994, REG STUD, V28, P457, DOI 10.1080/00343409412331348396 Burgan B., 2001, Tourism Economics, V7, P321 Cernat L, 2012, TOURISM MANAGE, V33, P1044, DOI 10.1016/j.tourman.2011.12.007 Crompton J. L., 2001, Journal of Travel Research, V40, P79 CROMPTON J. L., 1994, FESTIVAL MANAGEMENT, V2, P33, DOI DOI 10.3727/106527094792335782 CROMPTON JL, 1995, J SPORT MANAGE, V9, P14, DOI 10.1123/jsm.9.1.14 Daniels M. J., 2003, Journal of Sport Tourism, V8, P214 Deery M, 2010, INT J EVENT FESTIV M, V1, P8, DOI 10.1108/17852951011029289 Deery M, 2012, TOURISM MANAGE, V33, P64, DOI 10.1016/j.tourman.2011.01.026 Dolles H., 2010, J MANAGEMENT ORG, V16, P587, DOI DOI 10.5172/JMO.2010.16.4.587 Dwyer L., 2005, Journal of Travel Research, V43, P351, DOI 10.1177/0047287505274648 Dwyer L., 2016, SCANDINAVIAN J HOSP Elkington J, 1997, CANNIBALS FORKS TRIP Fletcher J., 1990, MULTIPLIER ANAL TOUR Frechtling D. C., 2006, Journal of Travel Research, V45, P26, DOI 10.1177/0047287506288877 Frey B., 2003, ARTS EC ANAL CULTURA Garcia B, 2005, URBAN STUD, V42, P841, DOI 10.1080/00420980500107532 Getz D, 2008, TOURISM MANAGE, V29, P403, DOI 10.1016/j.tourman.2007.07.017 Getz D, 2009, J POLICY RES TOUR LE, V1, P61, DOI 10.1080/19407960802703524 Global Footprint Network, 2010, EC FOOTPR ATL 2010 Gossling S, 2005, ECOL ECON, V54, P417, DOI 10.1016/j.ecolecon.2004.10.006 Gossling S, 2002, ECOL ECON, V43, P199, DOI 10.1016/S0921-8009(02)00211-2 Grubb M, 2006, CLIM POLICY, V6, P7, DOI 10.1080/14693062.2006.9685586 Hansen T. B., 1997, Journal of Cultural Economics, V21, P1, DOI 10.1023/A:1007303016798 HINCH T. D, 2001, EVENT MANAGEMENT, V7, P11, DOI DOI 10.3727/152599501108751443 Hunter C, 2005, ENVIRON CONSERV, V32, P294, DOI 10.1017/S0376892906002591 Hunter Colin, 2002, Environment Development and Sustainability, V4, P7, DOI 10.1023/A:1016336125627 Kim HJ, 2006, TOURISM MANAGE, V27, P86, DOI 10.1016/j.tourman.2004.07.010 LANKFORD SV, 1994, ANN TOURISM RES, V21, P121, DOI 10.1016/0160-7383(94)90008-6 Lindberg K, 1997, ANN TOURISM RES, V24, P402, DOI 10.1016/S0160-7383(97)80009-6 Lindberg K, 2001, ANN TOURISM RES, V28, P1010, DOI 10.1016/S0160-7383(01)00007-X Lundberg E, 2014, TOURISM IMPACTS SUST Meng XM, 2013, TOURISM MANAGE, V34, P25, DOI 10.1016/j.tourman.2012.03.006 Mitchell R., 1989, USING SURVEYS VALUE Noonan D. S., 2003, J CULTURAL EC, V27, P159, DOI DOI 10.1023/A:1026371110799 Okereke C, 2012, ENERG POLICY, V46, P203, DOI 10.1016/j.enpol.2012.03.052 Papandrea F., 1999, J CULTURAL EC, V23, P147, DOI DOI 10.1023/A:1007571812251 Pasanen K, 2009, SCAND J HOSP TOUR, V9, P112, DOI 10.1080/15022250903119546 Patterson TM, 2007, ECOL ECON, V62, P747, DOI 10.1016/j.ecolecon.2006.09.016 Pimentel D, 2005, BIOSCIENCE, V55, P573, DOI 10.1641/0006-3568(2005)055[0573:EEAECO]2.0.CO;2 Pollicino M, 2001, J CULTURAL EC, V25, P131, DOI DOI 10.1023/A:1007653432745 Ponsford IF, 2011, INT J EVENT FESTIV M, V2, P184, DOI 10.1108/17582951111136595 Small K., 2008, EVENT MANAGEMENT, V11, P45, DOI DOI 10.3727/152599508783943219 Throsby D, 2001, EC CULTURE Venkatachalam L, 2004, ENVIRON IMPACT ASSES, V24, P89, DOI 10.1016/S0195-9255(03)00138-0 Wackernagel M, 2002, P NATL ACAD SCI USA, V99, P9266, DOI 10.1073/pnas.142033699 Walton H, 2008, J SPORT ECON, V9, P304, DOI 10.1177/152002507308769 Wanhill S. R. C., 1988, Service Industries Journal, V8, P136, DOI 10.1080/02642068800000026 Wood EH, 2005, INT J PUBLIC SECT MA, V18, P37, DOI 10.1108/09513550510576143 Wood R, 2006, AGR SYST, V89, P324, DOI 10.1016/j.agsy.2005.09.007 Zhou Y, 2009, J TRAVEL RES, V48, P78, DOI 10.1177/0047287508328792 NR 58 TC 6 Z9 6 U1 0 U2 19 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 1502-2250 EI 1502-2269 J9 SCAND J HOSP TOUR JI Scand. J. Hosp. Tour. PD APR 2 PY 2016 VL 16 IS 2 SI SI BP 158 EP 179 DI 10.1080/15022250.2015.1108863 PG 22 WC Hospitality, Leisure, Sport & Tourism; Sociology SC Social Sciences - Other Topics; Sociology GA DJ0OO UT WOS:000373904000005 DA 2019-04-09 ER PT J AU Cappiello, C Ho, NTT Pernici, B Plebani, P Vitali, M AF Cappiello, Cinzia Nguyen Thi Thao Ho Pernici, Barbara Plebani, Pierluigi Vitali, Monica TI CO2-Aware Adaptation Strategies for Cloud Applications SO IEEE TRANSACTIONS ON CLOUD COMPUTING LA English DT Article DE Cloud computing; Green IT; CO2 emissions; adaptive systems ID DATA CENTERS; ENERGY; MANAGEMENT; FRAMEWORK AB The increasing utilization of cloud resources raises several issues related to their environmental impact and, more in general, sustainability. Recently, most of the contributions have focused on energy efficiency achieved through a better physical and virtual resource management. The present paper considers instead the application level, extending the focus to the reduction of CO2 emissions related to the execution of applications. We aim to exploit adaptivity through the design of an Application Controller that, enacting the right adaptation strategy for a given context, allows the improvement of the trade off between QoS and CO2 emission reduction. The effectiveness of the approach has been shown running an HPC application in a federated cloud infrastructure. C1 [Cappiello, Cinzia; Nguyen Thi Thao Ho; Pernici, Barbara; Plebani, Pierluigi; Vitali, Monica] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, I-20133 Milan, Italy. RP Cappiello, C (reprint author), Politecn Milan, Dipartimento Elettron Informaz & Bioingn, I-20133 Milan, Italy. EM cinzia.cappiello@polimi.it; thithao.ho@polimi.it; barbara.pernici@polimi.it; pierluigi.plebani@polimi.it; monica.vitali@polimi.it RI Pernici, Barbara/C-1035-2016 OI Pernici, Barbara/0000-0002-2034-9774; Vitali, Monica/0000-0002-5258-1893 FU ECO2Clouds EU-FP7 Project [318048] FX This work has been partially supported by the ECO2Clouds EU-FP7 Project (http://eco2clouds.eu) grant agreement no. 318048. The authors would like to thank the ECO2Clouds project partners for their support in setting up the testing environment for the experimental work here described. CR Abbasi Z, 2014, LECT NOTES COMPUT SC, V8343, P1, DOI 10.1007/978-3-642-55149-9_1 Addis B, 2014, COMPUT NETW, V70, P75, DOI 10.1016/j.comnet.2014.04.011 Beloglazov A, 2011, ADV COMPUT, V82, P47, DOI 10.1016/B978-0-12-385512-1.00003-7 Beloglazov A, 2012, FUTURE GENER COMP SY, V28, P755, DOI 10.1016/j.future.2011.04.017 Bertoli Marco, 2009, Performance Evaluation Review, V36, P10, DOI 10.1145/1530873.1530877 Borgetto D., 2012, P 3 INT C FUT EN SYS, P25 Cappiello C, 2013, IEEE SYS MAN CYBERN, P127, DOI 10.1109/SMC.2013.29 ECO2Clouds Project Participants, 2014, TECH REP Forestiero A, 2014, LECT NOTES COMPUT SC, V8805, P323, DOI 10.1007/978-3-319-14325-5_28 Giordanelli R., 2014, CISC VIS NETW IND GL Gribaudo M, 2015, LECT NOTES COMPUT SC, V8945, P87, DOI 10.1007/978-3-319-15786-3_6 Hsu CH, 2014, INFORM SCIENCES, V258, P452, DOI 10.1016/j.ins.2012.10.041 Huusko J., 2012, 2 INT C PERS TECHN, V7396 Katsaros G, 2013, FUTURE GENER COMP SY, V29, P2077, DOI 10.1016/j.future.2012.12.006 Kliazovich D, 2012, J SUPERCOMPUT, V62, P1263, DOI 10.1007/s11227-010-0504-1 Lenzen M, 2010, ENERGIES, V3, P462, DOI 10.3390/en3030462 Li B, 2009, IEEE INT CONF CLOUD, P17, DOI 10.1109/CLOUD.2009.72 Liang Q, 2014, INFORM SCIENCES, V279, P735, DOI 10.1016/j.ins.2014.04.026 Liu ZH, 2013, PERFORM EVALUATION, V70, P770, DOI 10.1016/j.peva.2013.08.014 Meinshausen M, 2009, NATURE, V458, P1158, DOI 10.1038/nature08017 Melia P, 2013, MAR ECOL PROG SER, V487, P135, DOI 10.3354/meps10368 Nowak Alexander, 2013, 2013 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2013), P259, DOI 10.1109/EDOC.2013.36 Nowak Alexander, 2011, Information and Communication on Technology for the Fight against Global Warming. Proceedings First International Conference (ICT-GLOW 2011), P150, DOI 10.1007/978-3-642-23447-7_14 Nowak A., 2014, P ADVCOMP, P132 Pernici B., 2012, COMMUN ASS INFORM SY, V30, P275 Srikantaiah S., 2008, P 2008 C POW AW COMP, P10 Tsamardinos I, 2006, MACH LEARN, V65, P31, DOI 10.1007/s10994-006-6889-7 Uddin M, 2012, RENEW SUST ENERG REV, V16, P4078, DOI 10.1016/j.rser.2012.03.014 Vitali M., 2014, J COOPERATIVE INF SY, V23, P1 Vitali M, 2015, INFORM SCIENCES, V319, P152, DOI 10.1016/j.ins.2015.01.023 Wajid U., 2015, IEEE T CLOUD COMPUT NR 31 TC 7 Z9 7 U1 0 U2 0 PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC PI PISCATAWAY PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA SN 2168-7161 J9 IEEE T CLOUD COMPUT JI IEEE Trans. Cloud Comput. PD APR-JUN PY 2016 VL 4 IS 2 BP 152 EP 165 DI 10.1109/TCC.2015.2464796 PG 14 WC Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods SC Computer Science GA DW9PE UT WOS:000383992800004 DA 2019-04-09 ER PT J AU Kim, RE AF Kim, Rakhyun E. TI The Nexus between International Law and theSustainable Development Goals SO REVIEW OF EUROPEAN COMPARATIVE & INTERNATIONAL ENVIRONMENTAL LAW LA English DT Article ID MULTILATERAL ENVIRONMENTAL AGREEMENTS; CROSS-MEDIA POLLUTION; SUSTAINABLE DEVELOPMENT; CLIMATE-CHANGE; EMERGING GOVERNANCE; OCEAN ACIDIFICATION; ANTHROPOCENE; BIODIVERSITY; WATER; CONSERVATION AB The 17 Sustainable Development Goals (SDGs) and 169 targets did not emerge from, and were not inserted into, a normative vacuum. They are grounded in international law and made consistent with existing commitments expressed in various international legal instruments. Naturally, a nexus exists between international law and these global priorities. This article explores how to harness that nexus for sustainability. It examines to what extent the SDGs might be instrumental in orchestrating international institutions towards the common objective of sustainable development, and how international law provides a normative environment for the SDGs. The article argues that, although self-proclaimed as integrated and indivisible, the SDGs and targets reflect the fragmented structure of international law, and therefore would have limited utility for orchestration. The article then discusses how international law, despite its fragmented nature, provides integration tools that could address trade-offs between competing targets in a principled manner. A clear, long-term vision for sustainable development beyond 2030 is a necessary but absent leverage point in the SDG framework. It would define the point where the interacting SDGs and targets should ultimately converge. C1 [Kim, Rakhyun E.] Griffith Univ, Griffith Law Sch, Nathan, Qld 4111, Australia. [Kim, Rakhyun E.] Univ Utrecht, Copernicus Inst Sustainable Dev, Global Environm Governance, NL-3508 TC Utrecht, Netherlands. RP Kim, RE (reprint author), Griffith Univ, Griffith Law Sch, Nathan, Qld 4111, Australia.; Kim, RE (reprint author), Univ Utrecht, Copernicus Inst Sustainable Dev, Global Environm Governance, NL-3508 TC Utrecht, Netherlands. EM rakhyunkim@gmail.com RI Kim, Rakhyun/C-3814-2017 OI Kim, Rakhyun/0000-0002-1308-6849 CR Abbott KW, 2015, GLOB POLICY, V6, P222, DOI 10.1111/1758-5899.12199 Abbott KW, 2015, INTERNATIONAL ORGANIZATIONS AS ORCHESTRATORS, P1 [Anonymous], 1989, MONTREAL PROTOCOL SU [Anonymous], 1994, UN FRAM CONV CLIM CH [Anonymous], 1998, CONVENTION PROTECTIO [Anonymous], 1993, CONV BIOL DIV [Anonymous], 2006, 1996 PROTOCOL CONVEN [Anonymous], 1992, N AM FREE TRADE AGRE Babiker MH, 2005, J INT ECON, V65, P421, DOI 10.1016/j.jinteco.2004.01.003 Barral V, 2012, EUR J INT LAW, V23, P377, DOI 10.1093/ejil/chs016 Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x Bernstein Steven, 2013, ROLE PLACE HIGH LEVE Borgen C.J., 2012, OXFORD GUIDE TREATIS, P448 Bosselmann K., 2013, RULE LAW NATURE NEW, P75 Bosselmann K., 2002, ENV LAW SUSTAINABLE, P81 Bratspies RM, 2006, TRANSBOUNDARY HARM IN INTERNATIONAL LAW: LESSONS FROM THE TRAIL SMELTER ARBITRATION, P1, DOI 10.2277/ 0521856434 Bravo G, 2014, ECOL INDIC, V37, P145, DOI 10.1016/j.ecolind.2013.10.020 Caldeira K, 2000, SCIENCE, V287, P620, DOI 10.1126/science.287.5453.620 Cao L, 2010, CLIMATIC CHANGE, V99, P303, DOI 10.1007/s10584-010-9799-4 Costanza R, 2015, SOLUTIONS, V5, P13 Costanza R, 2014, NATURE, V505, P283, DOI 10.1038/505283a Doelle M., 2004, J ENV LAW PRACTICE, V14, P75 Falkenmark M, 1997, PHILOS T ROY SOC B, V352, P929, DOI 10.1098/rstb.1997.0072 Falkenmark M, 2009, FOOD SECUR, V1, P59, DOI 10.1007/s12571-008-0003-x Fisher D, 2013, LEGAL REASONING IN ENVIRONMENTAL LAW: A STUDY OF STRUCTURE, FORM AND LANGUAGE, P1 Galaz V, 2012, ECOL ECON, V81, P21, DOI 10.1016/j.ecolecon.2011.11.012 Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a Griggs D, 2014, ECOL SOC, V19, DOI 10.5751/ES-07082-190449 Grober U., 2007, DEEP ROOTS CONCEPTUA Hale T, 2014, REV INT ORGAN, V9, P59, DOI 10.1007/s11558-013-9174-0 Hanqin Xue, 2003, TRANSBOUNDARY DAMAGE Higgins Rosalyn, 1994, PROBLEMS PROCESS INT Hirsch PD, 2011, CONSERV BIOL, V25, P259, DOI 10.1111/j.1523-1739.2010.01608.x Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 ICSU & ISSC, 2015, REV TARG SUST DEV GO Johannsdottir A., 2010, REV EUROPEAN COMMUNI, V19, P139, DOI DOI 10.1111/J.1467-9388.2010.00673.X Jordan AJ, 2015, NAT CLIM CHANGE, V5, P977, DOI 10.1038/NCLIMATE2725 Keohane RO, 2011, PERSPECT POLIT, V9, P7, DOI 10.1017/S1537592710004068 Kim R. E., 2012, REV EUROPEAN COMMUNI, V21, P243, DOI DOI 10.1111/REE1.12000.X Kim RE, 2016, RES HB INT LAW, P473 Kim RE, 2015, REV EUR COMP INT ENV, V24, P194, DOI 10.1111/reel.12109 Kim RE, 2013, TRANSNATL ENVIRON LA, V2, P285, DOI 10.1017/S2047102513000149 Kubiszewski I, 2013, ECOL ECON, V93, P57, DOI 10.1016/j.ecolecon.2013.04.019 LATHAM GP, 1991, ORGAN BEHAV HUM DEC, V50, P212, DOI 10.1016/0749-5978(91)90021-K Liu J., 2015, SCIENCE, V347 Lowe V., 1999, INT LAW SUSTAINABLE, P19 Lyytimaki J, 2008, SUSTAIN DEV, V16, P301, DOI 10.1002/sd.330 Mader JA, 2010, ATMOS CHEM PHYS, V10, P12161, DOI 10.5194/acp-10-12161-2010 MAGRAW DB, 1986, AM J INT LAW, V80, P305, DOI 10.2307/2201962 Meadows D. H., 2008, THINKING SYSTEMS PRI MEBRATU D, 1998, ENVIRON IMPACT ASSES, V18, P493 Molden D., 2007, WATER FOOD WATER LIF Moncel R., 2012, REVIEW OF EUROPEAN C, V21, P163, DOI DOI 10.1111/REEL.12011 Muys B, 2013, CHALL SUSTAIN, V1, P41, DOI 10.12924/cis2013.01010041 Nilsson M, 2012, ECOL ECON, V81, P10, DOI 10.1016/j.ecolecon.2012.06.020 Oberthur S., 2002, International Environmental Agreements: Politics, Law and Economics, V2, P317, DOI 10.1023/A:1021364902607 Pavoni R, 2010, EUR J INT LAW, V21, P649, DOI 10.1093/ejil/chq046 PHILIPSEN Dirk, 2015, LITTLE BIG NUMBER GD Pinter L, 2012, ECOL INDIC, V17, P20, DOI 10.1016/j.ecolind.2011.07.001 Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Rogelj J, 2013, NAT CLIM CHANGE, V3, P545, DOI 10.1038/NCLIMATE1806 Sachs J., 2015, AGE SUSTAINABLE DEV Sands P, 2012, PRINCIPLES OF INTERNATIONAL ENVIRONMENTAL LAW, 3RD EDITION, P1, DOI 10.1017/CBO9781139019842 SANDS P, 1999, M PLANCK YB UN LAW, V3, P389 Sanwal M., 2004, GLOBAL ENVIRON POLIT, V4, P16 Steffen W., 2013, CURRENT OPINION ENV, V5, P1 Steffen W, 2007, AMBIO, V36, P614, DOI 10.1579/0044-7447(2007)36[614:TAAHNO]2.0.CO;2 Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855 Steffen W, 2011, AMBIO, V40, P739, DOI 10.1007/s13280-011-0185-x Steffen W, 2011, PHILOS T R SOC A, V369, P842, DOI 10.1098/rsta.2010.0327 Steiner A, 2003, ORYX, V37, P227, DOI 10.1017/S0030605303000401 TECLAFF LA, 1991, NAT RESOUR J, V31, P187 Thurer D, 2009, M PLANCK ENCY PUBLIC Togtokh C, 2011, NATURE, V479, P269, DOI 10.1038/479269a Totten M, 2003, FRONT ECOL ENVIRON, V1, P262, DOI 10.2307/3868014 Truelove HB, 2014, GLOBAL ENVIRON CHANG, V29, P127, DOI 10.1016/j.gloenvcha.2014.09.004 UN (United Nations), 2015, MILL DEV GOALS REP 2 United Nations Development Programme, 1990, HUM DEV REP 1990 van den Bergh J, 2015, CURR OPIN ENV SUST, V14, P170, DOI 10.1016/j.cosust.2015.05.007 VanAsselt H, 2014, FRAGMENTATION GLOBAL Voigt C., 2009, SUSTAINABLE DEV PRIN Von Moltke K., 2006, MULTILEVEL GOVERNANC, P409 Weeramantry C. G., 2004, UNIVERSALISING INT L Williamson P, 2012, PROCESS SAF ENVIRON, V90, P475, DOI 10.1016/j.psep.2012.10.007 Wolfrum R., 2000, M PLANCK YB UN LAW, P445 Wolfrum Rudiger, 2003, CONFLICTS INT ENV LA Yang Y, 2012, ENVIRON SCI TECHNOL, V46, P3671, DOI 10.1021/es203641p NR 110 TC 9 Z9 9 U1 1 U2 30 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 2050-0386 EI 2050-0394 J9 REV EUR COMP INT ENV JI Rev. Eur. Comp. Int. Environ. PD APR PY 2016 VL 25 IS 1 SI SI BP 15 EP 26 DI 10.1111/reel.12148 PG 12 WC Environmental Studies; Law SC Environmental Sciences & Ecology; Government & Law GA DK7VT UT WOS:000375135400003 DA 2019-04-09 ER PT J AU Ferretti, V Montibeller, G AF Ferretti, Valentina Montibeller, Gilberto TI Key challenges and meta-choices in designing and applying multi-criteria spatial decision support systems SO DECISION SUPPORT SYSTEMS LA English DT Article DE Multiple criteria analysis; Spatial analysis; DSS design; DSS implementation; Decision analysis; Group decision and negotiation ID ENVIRONMENTAL-POLICY; PUBLIC-PARTICIPATION; TRADE-OFFS; OBJECTIVES; MANAGEMENT; FRAMEWORK; GIS; SUSTAINABILITY; SENSITIVITY; PERSPECTIVE AB There is an increasing use of multi-criteria spatial decision support systems in recent years for dealing with problems that have a spatial distribution of consequences. This growth might be explained by the widespread recognition that there are multiple and conflicting objectives to be considered in spatial planning (e.g. minimizing pollution to air, water and soil, increasing the acceptance of the projects, reducing implementation costs), by new requirements to consider societal values in the evaluation and to increase participation in decision processes, as well as by the crucial role that the spatial dimension plays in such problems. However, we argue in this paper that there are key challenges confronted by DSS designers who are developing such systems and by DSS practitioners who are employing them to support decision making. These challenges impose important meta choices to designers and practitioners, which may lead to different contents of the evaluation model and to distinctive outcomes of the analysis. In this paper, we present and discuss these key challenges and the associated meta-choices. The contribution that we aim to provide to both researchers and practitioners can be summarized as follows: (i) an increased awareness about choices to be made in the design and implementation of these decision support systems; (ii) a better understanding about the available alternatives for each choice, based on recent developments in the literature;, and (iii) a clearer appraisal about the inherent trade-offs between advantages and disadvantages of each alternative. (C) 2016 Elsevier B.V. All rights reserved. C1 [Ferretti, Valentina] Univ London London Sch Econ & Polit Sci, Dept Management, Houghton St, London WC2 2AE, England. [Montibeller, Gilberto] Univ Loughborough, Sch Business & Econ, Loughborough LE11 3TU, Leics, England. RP Ferretti, V (reprint author), Univ London London Sch Econ & Polit Sci, Dept Management, Houghton St, London WC2 2AE, England. EM V.Ferretti@lse.ac.uk; g.montibeller@lboro.ac.uk RI Ferretti, Valentina/R-3073-2017 OI Ferretti, Valentina/0000-0002-6656-0049 CR Ackermann F, 2011, LONG RANGE PLANN, V44, P179, DOI 10.1016/j.lrp.2010.08.001 Atherton E., 1998, J MULTICRITERIA DECI, V7, P304 Bana E Costa CA, 2012, INT J INF TECH DECIS, V11, P359, DOI 10.1142/S0219622012400068 Banai R, 2005, ENVIRON MANAGE, V36, P282, DOI 10.1007/s00267-004-1047-0 Banville C, 1998, SYST RES BEHAV SCI, V15, P15, DOI 10.1002/(SICI)1099-1743(199801/02)15:1<15::AID-SRES179>3.3.CO;2-2 Beierle TC, 2002, RISK ANAL, V22, P739, DOI 10.1111/0272-4332.00065 Beinat E., 1997, VALUE FUNCTIONS ENV BELTON V, 1994, DECIS SUPPORT SYST, V12, P355, DOI 10.1016/0167-9236(94)90052-3 Belton V, 2002, MULTIPLE CRITERIA DE BELTON V, 1997, J DECISION SYSTEMS, V6, P283 Boerboom L. G. J, 2012, OSGEO J, V10, P49 Boerboom L, 2014, SCAND J FOREST RES, V29, P84, DOI 10.1080/02827581.2014.946960 Bond SD, 2008, MANAGE SCI, V54, P56, DOI 10.1287/mnsc.1070.0754 Boroushaki S, 2010, COMPUT ENVIRON URBAN, V34, P322, DOI 10.1016/j.compenvurbsys.2010.02.006 Bottero M, 2015, EUR J OPER RES, V245, P837, DOI 10.1016/j.ejor.2015.04.005 Bottero M., 2014, ENABLING PUBLIC PART, P99 BUEDE DM, 1986, INTERFACES, V16, P52, DOI 10.1287/inte.16.2.52 Chakhar S, 2008, INT J GEOGR INF SCI, V22, P1159, DOI 10.1080/13658810801949827 Chen Y., 2010, ENVIRON MODELL SOFTW, P1582 Comino E., 2015, P 27 EUR C OP RES EU Coutinho-Rodrigues J, 2011, DECIS SUPPORT SYST, V51, P720, DOI 10.1016/j.dss.2011.02.010 Daly Herman, 1989, COMMON GOOD REDIRECT De Brucker K, 2013, EUR J OPER RES, V224, P122, DOI 10.1016/j.ejor.2012.02.021 Delgado MG, 2004, HUM ECOL RISK ASSESS, V10, P1173, DOI 10.1080/10807030490887221 Densham P. J., 1991, GEOGRAPHICAL INFORM, V1, P403 Dente B., 2014, SPRINGERBRIEFS APPL Edwards W., 1988, DECISION MAKING DESC, P443 Feick RD, 2004, INT J GEOGR INF SCI, V18, P815, DOI 10.1080/13658810412331280185 Fernandes S, 2014, DECIS SUPPORT SYST, V57, P224, DOI 10.1016/j.dss.2013.09.014 Ferretti V., 2015, EUROPEAN J IN PRESS Ferretti V., 2013, GEOINGEGNERIA AMBIEN, V139, P53 Ferretti V, 2015, J CULT HERIT, V16, P688, DOI 10.1016/j.culher.2015.01.007 Ferretti V, 2013, ECOL INDIC, V34, P507, DOI 10.1016/j.ecolind.2013.06.005 Ferretti V, 2011, J MULTI-CRITERIA DEC, V18, P231, DOI 10.1002/mcda.493 Fiske AP, 1997, POLIT PSYCHOL, V18, P255, DOI 10.1111/0162-895X.00058 Franco A., 2010, EUR J OPER RES, V205, P489 Franco LA, 2011, WILEY ENCY OPERATION Geneletti D, 2008, LANDSCAPE URBAN PLAN, V85, P97, DOI 10.1016/j.landurbplan.2007.10.004 Ghose R, 2007, ENVIRON PLANN A, V39, P1961, DOI 10.1068/a38247 Gilovich T., 2002, HEURISTICS BIASES PS GREGORY R, 1993, J RISK UNCERTAINTY, V7, P177, DOI 10.1007/BF01065813 Gregory R, 2001, ECOL ECON, V39, P37, DOI 10.1016/S0921-8009(01)00214-2 Guitouni A, 1998, EUR J OPER RES, V109, P501, DOI 10.1016/S0377-2217(98)00073-3 Hendriks Paul, 2000, GEOGRAPHICAL ENV MOD, V4, P83 Johnson MP, 2005, DECIS SUPPORT SYST, V41, P296, DOI 10.1016/j.dss.2004.08.013 Keeney R, 1993, DECISIONS MULTIPLE O Keeney RL, 2013, EURO J DECIS PROCESS, V1, P45, DOI 10.1007/s40070-013-0002-9 Keeney RL, 2005, OPER RES, V53, P1, DOI 10.1287/opre.1040.0158 KEENEY RL, 1988, OPER RES, V36, P396, DOI 10.1287/opre.36.3.396 Keeney RL, 2002, OPER RES, V50, P935, DOI 10.1287/opre.50.6.935.357 KEENEY RL, 1982, OPER RES, V30, P803, DOI 10.1287/opre.30.5.803 Keeney RL, 1992, VALUE FOCUSED THINKI Kerr NL, 2011, INT J FORECASTING, V27, P14, DOI 10.1016/j.ijforecast.2010.02.001 Kiker GA, 2005, INTEGR ENVIRON ASSES, V1, P95, DOI 10.1897/IEAM_2004a-015.1 Malczewski J, 1996, ENVIRON PLANN A, V28, P69, DOI 10.1068/a280069 Malczewski J, 1999, GIS MULTICRITERIA DE Malczewski J, 2006, INT J GEOGR INF SCI, V20, P703, DOI 10.1080/13658810600661508 Maniezzo V, 1998, DECIS SUPPORT SYST, V23, P273, DOI 10.1016/S0167-9236(98)00042-6 Martin L, 2015, J CLEAN PROD, V105, P146, DOI 10.1016/j.jclepro.2015.04.014 Montibeller G, 2015, RISK ANAL, V35, P1230, DOI 10.1111/risa.12360 Montibeller G, 2009, EUR J OPER RES, V195, P829, DOI 10.1016/j.ejor.2007.11.015 Morton A, 2009, RISK ANAL, V29, P764, DOI 10.1111/j.1539-6924.2008.01192.x Munda G, 2006, LAND USE POLICY, V23, P86, DOI 10.1016/j.landusepol.2004.08.012 Payne J. W., 1993, ADAPTIVE DECISION MA Pearce D, 1998, OXFORD REV ECON POL, V14, P84, DOI 10.1093/oxrep/14.4.84 Petr M., 2015, REGIONAL ENV CHANGE Phillips LD, 2007, ADVANCES IN DECISION ANALYSIS: FROM FOUNDATIONS TO APPLICATIONS, P375, DOI 10.1017/CBO9780511611308.020 RENN O, 1993, POLICY SCI, V26, P189, DOI 10.1007/BF00999716 Rinner C, 2007, INT J GEOGR INF SCI, V21, P907, DOI 10.1080/13658810701349060 Rios-Insua D., 1990, SENSITIVITY ANAL MUL Roy B., 2013, WILEY ENCY OPERATION Roy B., 1995, MULTICRITERIA METHOD Roy B, 2013, EURO J DECIS PROCESS, V1, P69, DOI 10.1007/s40070-013-0004-7 Saaty TL, 2013, OPER RES, V61, P1101, DOI 10.1287/opre.2013.1197 Sharifi M.A., 2004, J TELECOMMUN INF TEC, V3, P28 SIMON HA, 1986, J BUS, V59, pS209, DOI 10.1086/296363 Simon J, 2014, OPER RES, V62, P182, DOI 10.1287/opre.2013.1217 Stewart T. J., 1996, J MULTICRITERIA DECI, V5, P301, DOI DOI 10.1002/(SICI)1099-1360(199612)5:43.0.CO;2-U Majumdar SK, 1998, STRATEGIC MANAGE J, V19, P1045 Mauzerall DL, 2005, ATMOS ENVIRON, V39, P2851, DOI 10.1016/j.atmosenv.2004.12.041 Maxwell JW, 2000, J LAW ECON, V43, P583, DOI 10.1086/467466 McWilliams A, 2001, ACAD MANAGE REV, V26, P117, DOI 10.5465/AMR.2001.4011987 McWilliams A, 2005, ORGAN RES METHODS, V8, P185, DOI 10.1177/1094428105275377 McWilliams A, 2011, J MANAGE, V37, P1480, DOI 10.1177/0149206310385696 Norman W, 2004, BUS ETHICS Q, V14, P243, DOI 10.5840/beq200414211 Pestieau P, 1993, FINANZARCHIV, V50, P293 Powell J, 1977, EUR J OPER RES, V1, P154 Prakash Aseem, 2001, BUSINESS STRATEGY EN, V10, P286, DOI DOI 10.1002/BSE.305 Siegel DS, 2007, J ECON MANAGE STRAT, V16, P773, DOI 10.1111/j.1530-9134.2007.00157.x Thiele H, 1999, EUR REV AGRIC ECON, V26, P331, DOI 10.1093/erae/26.3.331 Tukker A., 2004, BUSINESS STRATEGY EN, V13, P246, DOI DOI 10.1002/BSE.414 US Energy Information Administration (EIA), 2012, FORM EIA 923 POW PLA Weber EU, 2010, WIRES CLIM CHANGE, V1, P332, DOI 10.1002/wcc.41 Welford R., 2002, CORPORATE SOCIAL RES, V9, P1, DOI DOI 10.1002/CSR.90 Whetten D.A., 2001, HDB STRATEGY MANAGEM NR 46 TC 19 Z9 19 U1 1 U2 56 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0964-4733 EI 1099-0836 J9 BUS STRATEG ENVIRON JI Bus. Strateg. Environ. PD MAR PY 2016 VL 25 IS 3 BP 193 EP 204 DI 10.1002/bse.1867 PG 12 WC Business; Environmental Studies; Management SC Business & Economics; Environmental Sciences & Ecology GA DH6PX UT WOS:000372914500004 DA 2019-04-09 ER PT J AU Lauf, S Haase, D Kleinschmit, B AF Lauf, Steffen Haase, Dagmar Kleinschmit, Birgit TI The effects of growth, shrinkage, population aging and preference shifts on urban development-A spatial scenario analysis of Berlin, Germany SO LAND USE POLICY LA English DT Article DE Urban growth and shrinkage; Scenario simulation; Urban form; Demographic change; Reurbanization; Residential preference; Population aging; Berlin ID EUROPEAN CITIES; HEAT-STRESS; CITY-CENTER; VULNERABILITY; FORM; SUSTAINABILITY; TRANSFORMATION; PATTERNS; DECLINE; SPRAWL AB We observe diverse urban development trends in European cities, with processes such as population aging, growth, shrinkage, and reurbanization having unclear consequences on land use and the urban form. The effects of these processes are especially difficult to determine when they occur quickly and simultaneously. We use varying scenarios of contrasting and exceeding variants of these urban development trends to uncover possible interactions by focusing on demographic and residential preference shifts that were simulated in a previously presented land use model (Lauf et al., 2012). Using urban form indicators and landscape metrics, we determine urban to peri-urban effects. Among other interesting results, we discovered that population aging expedited by population shrinkage greatly affects land consumption. This effect is especially pronounced in the outer city due to the residential preferences of elderly people and thereby reduces urban shrinkage. In contrast, a shift in preferences toward reurbanization reduces land consumption significantly. Population aging produces synergies in terms of urban growth and landscape fragmentation and trade-offs in terms of urban shrinkage and compactness, and the opposite holds for increasing reurbanization. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Lauf, Steffen; Kleinschmit, Birgit] Tech Univ Berlin, Dept Landscape Architecture & Environm Planning, Geoinformat Environm Planning Lab, Str 17 Juni 145, D-10623 Berlin, Germany. [Haase, Dagmar] Humboldt Univ, Dept Geog, Landscape Ecol Lab, Unter Linden 6, D-10099 Berlin, Germany. RP Lauf, S (reprint author), Tech Univ Berlin, Dept Landscape Architecture & Environm Planning, Geoinformat Environm Planning Lab, Str 17 Juni 145, D-10623 Berlin, Germany. EM steffen.lauf@tu-berlin.de; dagmar.haase@geo.hu-berlin.de; birgit.kleinschmit@tu-berlin.de OI Lauf, Steffen/0000-0002-5434-9457 FU German Research Foundation [SCHE 750/8-1, SCHE 750/9-1, LA 2525/2-1, KL 2215/4-1] FX This work is part of Research Unit 1736 UCaHS-Urban Climate and Heat Stress in mid-latitude cities in view of climate change and is supported and funded by the German Research Foundation under the codes SCHE 750/8-1, SCHE 750/9-1, LA 2525/2-1, and KL 2215/4-1. We would like to thank two anonymous reviewers for their contributions improving this article. CR Alberti M., 2008, ADV URBAN ECOLOGY IN Ayazli IE, 2015, LAND USE POLICY, V49, P332, DOI 10.1016/j.landusepol.2015.08.016 Batty M., 2007, CITIES COMPLEXITY Baur AH, 2015, SCI TOTAL ENVIRON, V520, P49, DOI 10.1016/j.scitotenv.2015.03.030 Borrego C, 2006, ENVIRON MODELL SOFTW, V21, P461, DOI 10.1016/j.envsoft.2004.07.009 Brade I, 2009, CITIES, V26, P233, DOI 10.1016/j.cities.2009.05.001 Brake K., 2012, REURBANISIERUNG MAT Bramley G, 2009, ENVIRON PLANN A, V41, P2125, DOI 10.1068/a4184 Bromley RDF, 2007, GEOFORUM, V38, P138, DOI 10.1016/j.geoforum.2006.07.008 Buzar S., 2007, URBAN STUD, V44, P5 Camagni R, 2002, ECOL ECON, V40, P199, DOI 10.1016/S0921-8009(01)00254-3 CHAMPION T., 2001, HDB URBAN STUDIES, P143, DOI DOI 10.4135/9781848608375.N9 Chen H, 2010, LANDSCAPE ECOL, V25, P1319, DOI 10.1007/s10980-010-9519-5 Couch C, 2005, EUR PLAN STUD, V13, P117, DOI 10.1080/0965431042000312433 Davoudi S, 2010, FUTURES, V42, P794, DOI 10.1016/j.futures.2010.04.011 Deal B, 2004, ECOL ECON, V51, P79, DOI 10.1016/j.ecolecon.2004.04.008 Dugord P.-A., 2013, COMPUT ENV URBAN SYS, V48, P86 EU, 2011, EUR UN REG POL CIT T Eurostat, 2014, CIT STAT URB AUD Feitosa FF, 2011, COMPUT ENVIRON URBAN, V35, P104, DOI 10.1016/j.compenvurbsys.2010.06.001 Filatova T, 2013, ENVIRON MODELL SOFTW, V45, P1, DOI 10.1016/j.envsoft.2013.03.017 FOBRP, 2008, HOUS REAL EST MARK G Forman R.T.T., 2008, URBAN REGIONS ECOLOG Gaube V, 2013, ENVIRON MODELL SOFTW, V45, P92, DOI 10.1016/j.envsoft.2012.11.012 Haase A., 2005, REURBANISING INNER B Haase A., 2013, EUROPEAN URBAN REGIO, V23, P86, DOI [10.1177/0969776413481985, DOI 10.1177/0969776413481985] Haeussermann H., 2004, GREEK REV SOC RES, V113, P25 Harlan SL, 2006, SOC SCI MED, V63, P2847, DOI 10.1016/j.socscimed.2006.07.030 Herold M., 2005, Computers, Environment and Urban Systems, V29, P369, DOI 10.1016/j.compenvurbsys.2003.12.001 Johnson DP, 2012, APPL GEOGR, V35, P23, DOI 10.1016/j.apgeog.2012.04.006 Kabisch S., 2005, METHODOLOGIES HOUSIN, P188 Kabisch S, 2013, HABITAT INT, V39, P232, DOI 10.1016/j.habitatint.2012.12.003 Kasanko M, 2006, LANDSCAPE URBAN PLAN, V77, P111, DOI 10.1016/j.landurbplan.2005.02.003 Kourtit K, 2014, APPL GEOGR, V49, P1, DOI 10.1016/j.apgeog.2014.01.007 Lauf S, 2012, ENVIRON MODELL SOFTW, V27-28, P71, DOI 10.1016/j.envsoft.2011.09.005 Lauf S, 2014, ECOL INDIC, V42, P73, DOI 10.1016/j.ecolind.2014.01.028 Martins H, 2012, ATMOS ENVIRON, V54, P60, DOI 10.1016/j.atmosenv.2012.02.075 McGarigal K, 2012, FRAGSTATS V4 SPATIAL Namdeo A, 2011, ENVIRON INT, V37, P829, DOI 10.1016/j.envint.2011.02.002 Nefs M., 2014, ENVIRON PLANN A, V54, P1455 O'Sullivan D, 2012, AGENT BASED MODELS G, P109, DOI DOI 10.1007/978-90-481-8927-4 Pontius RG, 2011, INT J REMOTE SENS, V32, P4407, DOI 10.1080/01431161.2011.552923 Rae A, 2013, CITIES, V32, P94, DOI 10.1016/j.cities.2013.03.012 Ravetz J., 2013, PERIURBAN FUTURES SC Rechel B, 2013, LANCET, V381, P1312, DOI 10.1016/S0140-6736(12)62087-X Rosenberg M, 2001, PROG PLANN, V56, P119, DOI 10.1016/S0305-9006(01)00014-9 Rutledge DT, 2008, REG SCI POLICY PRACT, V1, P85, DOI 10.1111/j.1757-7802.2008.00006.x Scherer D, 2013, ERDE, V144, P238 Schwarz N, 2010, LANDSCAPE URBAN PLAN, V96, P29, DOI 10.1016/j.landurbplan.2010.01.007 SenETW, 1990, DEV GDP EC SECT SOBB, 2014, MUN STAT CENS Sohl TL, 2013, J ENVIRON MANAGE, V129, P235, DOI 10.1016/j.jenvman.2013.07.027 Symes M, 1997, LAND USE POLICY, V14, P232, DOI 10.1016/S0264-8377(97)88631-0 Tavares AO, 2012, APPL GEOGR, V34, P432, DOI 10.1016/j.apgeog.2012.01.009 Temelova J, 2012, CITIES, V29, P310, DOI 10.1016/j.cities.2011.11.015 The Economics of Ecosystems and Biodiversity (TEEB), 2011, TEEB MAN CIT EC SERV Tinker A, 2002, MECH AGEING DEV, V123, P729, DOI 10.1016/S0047-6374(01)00418-3 Travisi CM, 2010, J TRANSP GEOGR, V18, P382, DOI 10.1016/j.jtrangeo.2009.08.008 Turok I, 2007, CITIES, V24, P165, DOI 10.1016/j.cities.2007.01.007 Ugolini F, 2015, LAND USE POLICY, V49, P365, DOI 10.1016/j.landusepol.2015.08.019 van de Kaa D.J., 2001, INT ENCY SOCIAL BEHA, P3486 van Delden H, 2009, GEOJOURNAL LIB, V95, P347, DOI 10.1007/978-1-4020-8952-7_17 van Vliet J, 2011, ECOL MODEL, V222, P1367, DOI 10.1016/j.ecolmodel.2011.01.017 Visser H, 2006, ENVIRON MODELL SOFTW, V21, P346, DOI 10.1016/j.envsoft.2004.11.013 Wiechmann T, 2012, INT J URBAN REGIONAL, V36, P261, DOI 10.1111/j.1468-2427.2011.01095.x NR 65 TC 19 Z9 19 U1 5 U2 32 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD MAR PY 2016 VL 52 BP 240 EP 254 DI 10.1016/j.landusepol.2015.12.017 PG 15 WC Environmental Studies SC Environmental Sciences & Ecology GA DG9FJ UT WOS:000372387900022 DA 2019-04-09 ER PT J AU Egels-Zanden, N AF Egels-Zanden, Niklas TI Not made in China: Integration of social sustainability into strategy at Nudie Jeans Co SO SCANDINAVIAN JOURNAL OF MANAGEMENT LA English DT Article DE China; Emergent strategy; Global value chains; Political CSR; Private regulation; SME; Sustainability; Sweden ID PRIVATE REGULATION; TRADE-OFFS; RESPONSIBILITY; CSR; EMERGENCE; BUSINESS; CHAINS; LABOR; SMES AB Sustainability concerns have increasingly moved up the corporate agenda, and corporate managers and academics alike stress the need to integrate sustainability into corporate strategy to both create competitive advantages and mitigate sustainability problems. Despite numerous conceptual studies of how sustainability should be integrated in strategy, there are few detailed empirical studies of actual corporate attempts to integrate sustainability into strategy. In this paper, we start to fill this gap based on a study of how the Swedish SME Nudie Jeans Co address worker rights in global value chain by only sourcing from democratic countries with acceptable working conditions. We show that integration of social sustainability into strategy in global value chains is likely to be an emergent process that involves political considerations, traceability and trade-offs in product development. In doing this, we provide a starting point for future empirically grounded research into sustainability and strategy. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Egels-Zanden, Niklas] Univ Gothenburg, Sch Business Econ & Law, Dept Business Adm, Box 600, SE-40530 Gothenburg, Sweden. RP Egels-Zanden, N (reprint author), Univ Gothenburg, Sch Business Econ & Law, Dept Business Adm, Box 600, SE-40530 Gothenburg, Sweden. EM Niklas.Zanden@gu.se CR Anner M, 2012, POLIT SOC, V40, P609, DOI 10.1177/0032329212460983 Bartley T, 2007, AM J SOCIOL, V113, P297, DOI 10.1086/518871 Behnam M, 2009, J BUS ETHICS, V84, P79, DOI 10.1007/s10551-008-9674-7 Bergstrom O, 2007, SCAND J MANAG, V23, P384, DOI 10.1016/j.scaman.2007.07.001 Bostrom M, 2012, J ENVIRON PLANN MAN, V55, P95, DOI 10.1080/09640568.2011.581885 Carter C, 2008, STRATEG ORGAN, V6, P83, DOI 10.1177/1476127007087154 Czarniawska B, 2014, SOCIAL SCI RES FIELD Davis Ian, 2005, MCKINSEY Q, V3, P105 Del Bosco B, 2011, SCAND J MANAG, V27, P87, DOI 10.1016/j.scaman.2010.10.003 Distelhorst G, 2015, REGUL GOV, V9, P224, DOI 10.1111/rego.12096 Doorey DJ, 2011, J BUS ETHICS, V103, P587, DOI 10.1007/s10551-011-0882-1 Egels-Zanden N., 2015, BUSINESS SO IN PRESS Egels-Zanden N, 2015, J CLEAN PROD, V107, P95, DOI 10.1016/j.jclepro.2014.04.074 Egels-Zanden N, 2015, J CLEAN PROD, V107, P31, DOI 10.1016/j.jclepro.2014.08.096 Egels-Zanden N, 2015, J CLEAN PROD, V96, P139, DOI 10.1016/j.jclepro.2014.01.072 Esty Daniel, 2006, GREEN TO GOLD Fassin Y, 2008, BUS ETHICS, V17, P364, DOI 10.1111/j.1467-8608.2008.00540.x Fitjar RD, 2011, BUS ETHICS, V20, P30, DOI 10.1111/j.1467-8608.2010.01610.x Gago RF, 2004, BUSINESS STRATEGY EN, V13, P33, DOI DOI 10.1002/(ISSN)1099-0836 Galbreath J, 2009, EUR BUS REV, V21, P109, DOI 10.1108/09555340910940123 Gjolberg M, 2009, SCAND J MANAG, V25, P10, DOI 10.1016/j.scaman.2008.10.003 Glaser B. G., 1967, DISCOVERY GROUNDED T Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Hart SL, 2003, ACAD MANAGE EXEC, V17, P56, DOI 10.5465/AME.2003.10025194 Helin S, 2011, SCAND J MANAG, V27, P24, DOI 10.1016/j.scaman.2010.12.001 Henfridsson O, 2014, J STRATEGIC INF SYST, V23, P11, DOI 10.1016/j.jsis.2013.11.001 Holmqvist M, 2009, SCAND J MANAG, V25, P68, DOI 10.1016/j.scaman.2008.08.001 Huse M., 1997, SCAND J MANAG, V13, P137, DOI DOI 10.1016/S0956-5221(97)00002-X Jamali D, 2009, J BUS ETHICS, V87, P355, DOI 10.1007/s10551-008-9925-7 Jarzabkowski P, 2009, INT J MANAG REV, V11, P69, DOI 10.1111/j.1468-2370.2008.00250.x JENKINS H, 2004, J GEN MANAGE, V29, P55 Jenkins H, 2006, J BUS ETHICS, V67, P241, DOI 10.1007/s10551-006-9182-6 Kourula A., 2015, J BUSINESS IN PRESS Kuznetsov A, 2009, SCAND J MANAG, V25, P37, DOI 10.1016/j.scaman.2008.11.008 Lankoski L, 2009, SCAND J MANAG, V25, P57, DOI 10.1016/j.scaman.2008.10.002 Lash J., 2007, Harvard Business Review, V85, P95 Locke RM, 2007, IND LABOR RELAT REV, V61, P3, DOI 10.1177/001979390706100101 Mantere S., 2005, Strategic Organization, V3, P157, DOI 10.1177/1476127005052208 MINTZBERG H, 1985, STRATEGIC MANAGE J, V6, P257, DOI 10.1002/smj.4250060306 Mirabeau L, 2014, STRATEGIC MANAGE J, V35, P1202, DOI 10.1002/smj.2149 Neugebauer F., 2015, BUSINESS ST IN PRESS Ozaki R, 2013, SCAND J MANAG, V29, P194, DOI 10.1016/j.scaman.2012.10.004 Peltonen Tuomo, 2001, SCAND J MANAG, V17, P151 Preuss L, 2010, J BUS ETHICS, V92, P531, DOI 10.1007/s10551-009-0171-4 Rossman G. B., 1995, DESIGNING QUALITATIV Savitz A.W., 2007, ENV QUALITY MANAGEME, V17, P17, DOI DOI 10.1002/TQEM Scherer AG, 2011, J MANAGE STUD, V48, P899, DOI 10.1111/j.1467-6486.2010.00950.x Steurer R, 2009, SCAND J MANAG, V25, P23, DOI 10.1016/j.scaman.2008.11.001 Stigzelius I, 2009, SCAND J MANAG, V25, P46, DOI 10.1016/j.scaman.2008.04.003 Taplin IM, 2014, CRIT PERSPECT INT BU, V10, P72, DOI 10.1108/cpoib-09-2013-0035 Winn MI, 2000, ORGAN STUD, V21, P1119, DOI 10.1177/0170840600216005 NR 51 TC 5 Z9 5 U1 1 U2 23 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0956-5221 EI 1873-3387 J9 SCAND J MANAG JI Scand. J. Manag. PD MAR PY 2016 VL 32 IS 1 BP 45 EP 51 DI 10.1016/j.scaman.2015.12.003 PG 7 WC Management SC Business & Economics GA DG1OM UT WOS:000371837400005 DA 2019-04-09 ER PT J AU Zhou, CH Chew, EP Lee, LH Liu, DQ AF Zhou, Chenhao Chew, Ek Peng Lee, Loo Hay Liu, Daqi TI An introduction and performance evaluation of the GRID system for transshipment terminals SO SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL LA English DT Article DE GRID systems; transshipment terminal; system design; vehicle routing; simulation; performance evaluation ID AUTOMATED CONTAINER TERMINALS; SIMULATION; STORAGE; DESIGN; AGVS AB While the global container trade, especially transshipment, keeps growing rapidly, land scarcity and sustainability pose severe challenges to port operators. To maintain their competitiveness, they have to maximize land utilization and improve productivity. As applications of the GRID (Goods Retrieval and Inventory Distribution) system prototype proposed by BEC Industries LLC, this paper discusses two new designsthe single GRID system and hybrid GRID systemfrom different angles. In particular, the configuration and mechanism of the single GRID system are introduced with different layouts. Given the GRID structure, one of the most critical aspects of the proposed architecture is the high incidence of conflicts among transfer units (TUs). Hence, the authors identify different conflict scenarios and subsequently provide the TU control logic to avoid conflicts. A simulation study then investigates the performance of the single GRID system and its robustness with respect to horizontal and vertical expansion. Due to the limitations of the single GRID system, the hybrid GRID system is then proposed and simulated for terminals demanding huge capacity and productivity. A new flexible and scalable simulation model is designed for the new system. Both the results on land utilization and productivity show that the hybrid GRID system is promising for future transshipment terminals. C1 [Zhou, Chenhao; Chew, Ek Peng; Lee, Loo Hay; Liu, Daqi] Natl Univ Singapore, Dept Ind & Syst Engn, 1 Engn Dr 2, Singapore 117576, Singapore. RP Zhou, CH (reprint author), Natl Univ Singapore, Dept Ind & Syst Engn, 1 Engn Dr 2, Singapore 117576, Singapore. EM zhou_chenhao@u.nus.edu RI Lee, Loo Hay/G-7144-2015; Zhou, Chenhao/R-3828-2016 OI Zhou, Chenhao/0000-0001-8459-1722 CR Bae HY, 2011, J INTELL MANUF, V22, P413, DOI 10.1007/s10845-009-0299-1 Brockmann W, 1996, P 4 EUR WORKSH PAR D Castalia Ltd, 2012, EFF WAG AUSTR PORT C Choi SH, 2005, OCEAN POL RES, V20, P81 Guldogan EU, 2011, SIMUL-T SOC MOD SIM, V87, P523, DOI 10.1177/0037549710369812 Hu HT, 2014, EXPERT SYST APPL, V41, P357, DOI 10.1016/j.eswa.2013.07.050 Hu HT, 2013, MATH PROBL ENG, DOI 10.1155/2013/593847 Ioannou P., 2000, TECHNICAL REPORT Kim KH, 2012, IND ENG MANAG SYST, V11, P299 Lee LH, 2014, P WINT SIM C SAV GA Liu CI, 2002, IEEE T INTELL TRANSP, V3, P12, DOI 10.1109/6979.994792 Liu CI, 2001, P 2001 IEEE C INT TR Qiu L, 2002, INT J PROD RES, V40, P745, DOI 10.1080/00207540110091712 Saanen Y, 2005, P 37 WINT SIM C ORL Sun Z, 2013, SIMUL-T SOC MOD SIM, V89, P684, DOI 10.1177/0037549712475097 Vis IFA, 2004, OR SPECTRUM, V26, P117, DOI 10.1007/s00291-003-0146-2 Vis IFA, 2006, INT J PROD ECON, V103, P680, DOI 10.1016/j.ijpe.2006.01.002 Yang CH, 2004, OR SPECTRUM, V26, P149, DOI 10.1007/s00291-003-0151-5 Zeng J, 2008, ROBOT AUTON SYST, V56, P451 Zhen L, 2012, IEEE T AUTOM SCI ENG, V9, P56, DOI 10.1109/TASE.2011.2165539 NR 20 TC 5 Z9 5 U1 7 U2 17 PU SAGE PUBLICATIONS LTD PI LONDON PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND SN 0037-5497 EI 1741-3133 J9 SIMUL-T SOC MOD SIM JI Simul.-Trans. Soc. Model. Simul. Int. PD MAR PY 2016 VL 92 IS 3 BP 277 EP 293 DI 10.1177/0037549715623845 PG 17 WC Computer Science, Interdisciplinary Applications; Computer Science, Software Engineering SC Computer Science GA DF9CK UT WOS:000371657700005 DA 2019-04-09 ER PT J AU Khadaroo, AJ AF Khadaroo, Ahmad Jameel TI CURRENT ACCOUNT DEFICIT IN MAURITIUS: RISKS AND PROSPECTS SO SOUTH AFRICAN JOURNAL OF ECONOMICS LA English DT Article DE Current account; sustainability; shock; regime-switching; bootstrap; simulation ID LEAST-SQUARES ESTIMATOR; UNIT-ROOT TESTS; TIME-SERIES; THRESHOLD MODELS; SETAR MODELS; COUNTRIES; COINTEGRATION; SPECIFICATION; HYPOTHESIS; SELECTION AB Mauritius is often cited by international institutions, including the International Monetary Fund and World Bank, as a success story in economic development. The island has, since the early 1970s, adopted an export-led growth strategy to power its economy. However, a constant decline over the last decade in the exports to gross domestic product (GDP) ratio has resulted in a worsening current account to GDP ratio, which is now a cause for concern. Using a three-regime, self-exciting threshold autoregressive (SETAR) model, this paper finds that the Mauritian economy may converge to either of two current account equilibria, namely a deficit of 9% or a surplus of 2.5% on a seasonally adjusted basis. A dynamic simulation exercise suggests that the Mauritian current account is more likely to switch from surplus to deficit equilibrium than from deficit to surplus equilibrium. Given that the prevailing deficit is in the vicinity of the deficit equilibrium, structural policies aiming to boost productivity and efficiency are indispensable for pulling Mauritius out of the deficit trap, the more so since the island has been experiencing a continuous erosion of trade preferences, which formerly enabled it to have privileged access for its exports to the EU market. C1 [Khadaroo, Ahmad Jameel] Univ Mauritius, Dept Econ & Stat, Reduit, Mauritius. RP Khadaroo, AJ (reprint author), Univ Mauritius, Dept Econ & Stat, Reduit, Mauritius. EM j.khadaroo@uom.ac.mu CR Apergis N, 2000, APPL ECON LETT, V7, P599, DOI 10.1080/13504850050059087 ARIZE AC, 2002, INT REV ECON FINANC, V11, P101, DOI DOI 10.1016/S1059-0560(01)00101-0 Bahmani-Oskooee M., 1994, J EC INTEGRATION, V4, P525 Balke NS, 1997, INT ECON REV, V38, P627 Bec F, 2004, J BUS ECON STAT, V22, P382, DOI 10.1198/073500104000000389 CHAN KS, 1993, ANN STAT, V21, P520, DOI 10.1214/aos/1176349040 CHAN KS, 1985, J APPL PROBAB, V22, P267, DOI 10.2307/3213771 CHAN KS, 1985, ADV APPL PROBAB, V17, P666, DOI 10.2307/1427125 Chen SW, 2011, JPN WORLD ECON, V23, P190, DOI 10.1016/j.japwor.2011.04.002 Chen SW, 2011, ECON MODEL, V28, P1455, DOI 10.1016/j.econmod.2011.01.011 Chortareas GE, 2004, STUD NONLINEAR DYN E, V8 Christopoulos D, 2010, J INT MONEY FINANC, V29, P442, DOI 10.1016/j.jimonfin.2009.06.014 Coakley J, 2003, J ECON DYN CONTROL, V27, P2219, DOI 10.1016/S0165-1889(02)00123-9 DICKEY DA, 1979, J AM STAT ASSOC, V74, P427, DOI 10.2307/2286348 EFRON B, 1979, ANN STAT, V7, P1, DOI 10.1214/aos/1176344552 Elliott G, 1996, ECONOMETRICA, V64, P813, DOI 10.2307/2171846 Enders W, 1998, J BUS ECON STAT, V16, P304, DOI 10.2307/1392506 Fountas S., 1999, INT EC J, V13, P51, DOI DOI 10.1080/10168739900080020 Gonzalo J, 2002, J ECONOMETRICS, V110, P319, DOI 10.1016/S0304-4076(02)00098-2 Hansen B. E., 1999, J EC SURVEYS, V13, P551, DOI [10.1111/1467-6419.00098, DOI 10.1111/1467-6419.00098] HUSTED S, 1992, REV ECON STAT, V74, P159, DOI 10.2307/2109554 Irandoust M., 2004, METROECONOMICA, V55, P49 Johansen S., 1995, LIKELIHOOD BASED INF Kapetanios G, 2006, ECONOMET J, V9, P252, DOI 10.1111/j.1368-423X.2006.00184.x Kapetanios G, 2001, J TIME SER ANAL, V22, P733, DOI 10.1111/1467-9892.00251 Kapetanios G, 2000, ECON LETT, V69, P267, DOI 10.1016/S0165-1765(00)00314-1 Khadaroo A. J., 2012, SUSTAINABILITY CURRE Kilian L, 2003, J INT ECON, V60, P85, DOI 10.1016/S0022-1996(02)00060-0 Kilic R., 2003, WORKING PAPER KWIATKOWSKI D, 1992, J ECONOMETRICS, V54, P159, DOI 10.1016/0304-4076(92)90104-Y Liu PC, 1996, SOUTH ECON J, V62, P739, DOI 10.2307/1060891 Mathieu P., 2008, IMF SURVEY MAGAZ JUL McLeod A. I., 1983, J TIME SER ANAL, V4, P269, DOI DOI 10.1111/J.1467-9892.1983.TB00373.X Milesi-Ferretti GM, 1998, EUR ECON REV, V42, P897 Narayan P. K., 2004, ECON PAPERS, V23, P152, DOI DOI 10.1111/J.1759-3441.2004.TB00361.X Narayan PK, 2005, APPL ECON LETT, V12, P375, DOI 10.1080/13504850500067774 Nobay B., 2010, J MONEY CREDIT BANK, V42, P132 Norman S, 2008, ECON LETT, V99, P134, DOI 10.1016/j.econlet.2007.06.013 PHILLIPS PCB, 1988, BIOMETRIKA, V75, P335, DOI 10.1093/biomet/75.2.335 Rhee H. J., 1997, INT EC J, V11, P109 SCHMIDT P, 1992, OXFORD B ECON STAT, V54, P257, DOI 10.1111/j.1468-0084.1992.tb00002.x Stigler M., 2012, THRESHOLD COINTEGRAT Tang T. C., 2003, INT J MANAGEMENT, V20, P88 Taylor AM, 2002, J INT MONEY FINANC, V21, P725, DOI 10.1016/S0261-5606(02)00020-7 TERASVIRTA T, 1994, J AM STAT ASSOC, V89, P208, DOI 10.2307/2291217 Tong H., 1990, J ROY STAT SOC, V52, P469 Trehan B., 1991, J MONEY CREDIT BANK, V23, P423 Zafar A., 2011, MAURITIUS EC SUCCESS ZIVOT E, 1992, J BUS ECON STAT, V10, P251, DOI 10.2307/1391541 NR 49 TC 1 Z9 1 U1 0 U2 8 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0038-2280 EI 1813-6982 J9 S AFR J ECON JI South Afr. J. Econ. PD MAR PY 2016 VL 84 IS 1 BP 109 EP 128 DI 10.1111/saje.12102 PG 20 WC Economics SC Business & Economics GA DF8SW UT WOS:000371630100006 DA 2019-04-09 ER PT J AU Ryan, SG Tucker, JW Zhou, Y AF Ryan, Stephen G. Tucker, Jennifer Wu Zhou, Ying TI Securitization and Insider Trading SO ACCOUNTING REVIEW LA English DT Article DE securitization; insider trading; opacity; banks ID INFORMATION ASYMMETRY; RULE 10B5-1; EARNINGS; STOCK; TRADES; SALES; CRISIS; MARKET AB Securitizations are complex and opaque transactions. We hypothesize that bank insiders trade on private information about banks': (1) securitization-related recourse risks, (2) not-yet-reported current-quarter securitization income, and (3) securitization-based business model sustainability. We provide evidence that proxies for each of these types of insider information are positively associated with insider trading. Specifically, we find that net insider sales in the 2001Q2 -2007Q2 pre-financial crisis quarters predict not -yet -reported non-performing securitized loans and securitization income for those quarters, and that net insider sales during 2006Q4 predict writedowns of securitization-related assets during the 2007Q3-200804 crisis period. We find that net insider sales are more negatively associated with banks' subsequent stock returns in their securitization quarters than in other quarters. In supplemental analysis, we show that the above findings are driven by trades by banks' CEOs and CFOs, and that insiders avoid larger stock price losses through 10b5-1 plan sales than through non-plan sales. C1 [Ryan, Stephen G.] NYU, New York, NY 10003 USA. [Tucker, Jennifer Wu] Univ Florida, Gainesville, FL 32611 USA. [Zhou, Ying] Univ Connecticut, Storrs, CT USA. RP Ryan, SG (reprint author), NYU, New York, NY 10003 USA. CR Aboody D, 2000, J FINANC, V55, P2747, DOI 10.1111/0022-1082.00305 ACHARYA V., 2016, J ACCOUNTIN IN PRESS Anderson R., 2008, MODERN METHODS ROBUS Barth M, 2010, J ACCOUNT ECON, V49, P26, DOI 10.1016/j.jacceco.2009.10.001 Boudreaux D. J., 2009, WALL STREET J Chen W, 2008, ACCOUNT REV, V83, P1181, DOI 10.2308/accr.2008.83.5.1181 Cheng M, 2011, ACCOUNT REV, V86, P541, DOI 10.2308/accr.00000020 Cheng Q, 2006, J ACCOUNTING RES, V44, P815, DOI 10.1111/j.1475-679X.2006.00222.x COLLINS DW, 1994, J ACCOUNT ECON, V18, P289, DOI 10.1016/0165-4101(94)90024-8 Cziraki P., 2015, WORKING PAPER Dechow PM, 2010, J ACCOUNT ECON, V49, P2, DOI 10.1016/j.jacceco.2009.09.006 Dechow PM, 2009, ACCOUNT REV, V84, P99, DOI 10.2308/accr.2009.84.1.99 Dou YW, 2014, REV ACCOUNT STUD, V19, P839, DOI 10.1007/s11142-013-9265-4 Frankel R, 2004, J ACCOUNT ECON, V37, P229, DOI 10.1016/j.jacceco.2003.09.004 Jagolinzer AD, 2009, MANAGE SCI, V55, P224, DOI 10.1287/mnsc.1080.0928 Ke B, 2003, J ACCOUNT ECON, V35, P315, DOI 10.1016/S0165-4101(03)00036-3 Lakonishok J, 2001, REV FINANC STUD, V14, P79, DOI 10.1093/rfs/14.1.79 Landsman WR, 2008, ACCOUNT REV, V83, P1251, DOI 10.2308/accr.2008.83.5.1251 Leone A., 2012, WORKING PAPER LEV B, 1994, STANFORD LAW REV, V47, P7, DOI 10.2307/1229220 MANNE HG, 1970, VANDERBILT LAW REV, V23, P547 Niu FF, 2006, CONTEMP ACCOUNT RES, V23, P1105, DOI 10.1506/X652-8M45-1702-7424 Ofek E, 2000, J FINANC, V55, P1367, DOI 10.1111/0022-1082.00250 Oz S., 2013, WORKING PAPER Piotroski JD, 2005, J ACCOUNT ECON, V39, P55, DOI 10.1016/j.jacceco.2004.01.003 Piotroski JD, 2004, ACCOUNT REV, V79, P1119, DOI 10.2308/accr.2004.79.4.1119 Rozeff MS, 1998, J FINANC, V53, P701, DOI 10.1111/0022-1082.275500 Ryan S. G., 2007, FINANCIAL INSTRUMENT Ryan SG, 2008, ACCOUNT REV, V83, P1605, DOI 10.2308/accr.2008.83.6.1605 SEYHUN HN, 1992, Q J ECON, V107, P1303, DOI 10.2307/2118390 Shon J, 2013, MANAGE SCI, V59, P1988, DOI 10.1287/mnsc.1120.1669 Tucker JW, 2006, ACCOUNT REV, V81, P251, DOI 10.2308/accr.2006.81.1.251 NR 32 TC 5 Z9 5 U1 3 U2 32 PU AMER ACCOUNTING ASSOC PI SARASOTA PA 5717 BESSIE DR, SARASOTA, FL 34233 USA SN 0001-4826 EI 1558-7967 J9 ACCOUNT REV JI Account. Rev. PD MAR PY 2016 VL 91 IS 2 BP 649 EP 675 DI 10.2308/accr-51230 PG 27 WC Business, Finance SC Business & Economics GA DE8CB UT WOS:000370862300013 DA 2019-04-09 ER PT J AU Delmotte, S Barbier, JM Mouret, JC Le Page, C Wery, J Chauvelon, P Sandoz, A Ridaura, SL AF Delmotte, Sylvestre Barbier, Jean-Marc Mouret, Jean-Claude Le Page, Christophe Wery, Jacques Chauvelon, Phillipe Sandoz, Alain Lopez Ridaura, Santiago TI Participatory integrated assessment of scenarios for organic farming at different scales in Camargue, France SO AGRICULTURAL SYSTEMS LA English DT Article DE CAP reform; Agent-based model; Bio-economic model; Indicators; Multi-scale; Stakeholder; Farmer ID AGRICULTURAL SYSTEMS; CROPPING SYSTEMS; LAND-USE; MODEL; MANAGEMENT; DELTA; SUSTAINABILITY; POLICIES; CLIMATE AB Alternative agricultural systems, such as organic farming (OF), are promising options to sustain both agriculture productivity and environmental health. However, the adoption of OF by farmers is occurring more slowly than is advocated. A key factor limiting farmers is an inability to predict socio-economic consequences of converting to OR To overcome this, we developed a novel method of integrated assessment of agricultural systems (IAAS) and applied it to scenarios of development of OF in the Camargue region, South of France. In collaboration with the local stakeholders, we characterized the agricultural systems at different spatial scales and defined scenario related to the future of agriculture and to OF. We then used agent-based modeling with farmers and bio-economic modeling with local stakeholders for scenario assessment. We examined the effects on the development of OF systems of key factors such as the ongoing reform in the European Common Agricultural Policy and the effects of regulations for decreased use of pesticides. The policy reform implied trends towards a diversification of crops and greater possibility for conversion to OR. Development of OF at the regional level led to improved environmental performance, but caused a decrease in profitability of the rice supply chains. In light of the observed trade-off between rice production and OF development, objectives and options towards more sustainable agricultural systems were discussed with farmers and local stakeholders. Stakeholders' assessment of the framework provided insights on the positive and specific aspects of the IAAS methodology requiring improvement. The complementarities of agent-based and bio-economic modeling provide stakeholders with a better-informed assessment of diverse scenarios, for the development of more sustainable agricultural systems. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Delmotte, Sylvestre; Barbier, Jean-Marc; Mouret, Jean-Claude; Lopez Ridaura, Santiago] INRA, UMR Innovat, 2 Pl Pierre Viala, F-34060 Montpellier 2, France. [Le Page, Christophe] CIRAD, UPR Green, Campus Int Baillarguet, F-34398 Montpellier 5, France. [Wery, Jacques] SupAgro, UMR Syst, 2 Pl Pierre Viala, F-34060 Montpellier 2, France. [Chauvelon, Phillipe; Sandoz, Alain] Res Ctr Conservat Mediterranean Wetlands, Tour Valat, F-13200 Arles, France. [Lopez Ridaura, Santiago] CIMMYT, SIP, CCAFS, Km 45 Carretera Mexico Veracruz El Baton, Texcoco 56130, Edo De Mexico, Mexico. RP Delmotte, S (reprint author), INRA, UMR Innovat, 2 Pl Pierre Viala, F-34060 Montpellier 2, France. EM sylvestre.delmotte@supagro.inra.fr RI Le Page, Christophe/E-6856-2010 OI Le Page, Christophe/0000-0002-1920-0091 FU French Environment and Energy Management Agency (ADEME); Internal Committee for Organic Farming (CiAB) of the French National Institute of Agricultural Research (INRA) FX The authors wish to thank the farmers and local stakeholders that participated in this work as well as the French Environment and Energy Management Agency (ADEME) and the Internal Committee for Organic Farming (CiAB) of the French National Institute of Agricultural Research (INRA) for financial support. The authors also thank the anonymous reviewers as well as Ira Sutherland and Laure Hossard for their helpful comments on earlier versions of the manuscript. CR Bezlepkina I, 2011, AGR SYST, V104, P105, DOI 10.1016/j.agsy.2010.11.002 Blazy JM, 2009, EUR J AGRON, V31, P10, DOI 10.1016/j.eja.2009.02.001 Blom-Zandstra M, 2008, INT J AGR SUSTAIN, V6, P195, DOI 10.3763/ijas.2008.0353 Bousquet F, 2004, ECOL MODEL, V176, P313, DOI 10.1016/j.ecolmodel.2004.01.011 BOUSQUET F, 1998, LECT NOTES ARTIF INT, V1416, P826 Brisson N, 2003, EUR J AGRON, V18, P309, DOI 10.1016/S1161-0301(02)00110-7 Brown I, 2014, REG ENVIRON CHANGE, V14, P1357, DOI 10.1007/s10113-013-0579-3 Castella JC, 2007, LAND USE POLICY, V24, P531, DOI 10.1016/j.landusepol.2005.09.009 Chauvelon P, 2003, HYDROL EARTH SYST SC, V7, P123, DOI 10.5194/hess-7-123-2003 Claessens L, 2012, AGR SYST, V111, P85, DOI 10.1016/j.agsy.2012.05.003 Comoretto L, 2008, ENVIRON POLLUT, V151, P486, DOI 10.1016/j.envpol.2007.04.021 Darnhofer I., 2014, Organic farming, prototype for sustainable agricultures, P439 de Kraker J, 2011, INT J AGR SUSTAIN, V9, P297, DOI 10.1080/14735903.2011.582356 de Ponti T, 2012, AGR SYST, V108, P1, DOI 10.1016/j.agsy.2011.12.004 Delmotte S, 2011, EUR J AGRON, V35, P223, DOI 10.1016/j.eja.2011.06.006 Delmotte S., 2013, INNOV AGRONOMIQUES, V32, P213 Delmotte S., 2011, THESIS SUPAGRO MONTP Delmotte S, 2013, J ENVIRON MANAGE, V129, P493, DOI 10.1016/j.jenvman.2013.08.001 Gouttenoire L, 2012, AGRON SUSTAIN DEV, P1 Helming K., 2008, SUSTAINABILITY IMPAC, P77, DOI DOI 10.1007/978-3-540-78648-1 Hengsdijk H, 2003, EUR J AGRON, V19, P549, DOI 10.1016/S1161-0301(03)00002-9 Hohener P, 2010, ENVIRON MODELL SOFTW, V25, P1837, DOI 10.1016/j.envsoft.2010.05.005 Jaeck M., 2009, 2009 C 53 FEBR 11 13 Janssen S, 2007, AGR SYST, V94, P622, DOI 10.1016/j.agsy.2007.03.001 Johnson K.A., 2012, ECOL SOC, V17 Jones NA, 2009, ENVIRON MANAGE, V44, P1180, DOI 10.1007/s00267-009-9391-8 Lamine C, 2009, AGRON SUSTAIN DEV, V29, P97, DOI 10.1051/agro:2008007 Lamine C, 2011, J RURAL STUD, V27, P209, DOI 10.1016/j.jrurstud.2011.02.001 Lopez Ridaura S, 2002, ECOL INDIC, V2, P135, DOI 10.1016/S1470-160X(02)00043-2 Lopez-Ridaura S, 2005, INT J SUST DEV WORLD, V12, P81, DOI 10.1080/13504500509469621 Mailly F, 2013, CAH AGRIC, V22, P424, DOI 10.1684/agr.2013.0662 Mathevet R., 2005, ACT C PARCS RECH AGR, P45 Oudshoorn FW, 2011, AGR SYST, V104, P315, DOI 10.1016/j.agsy.2010.12.003 Reidsma P, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/045004 Righi E, 2011, AGR ECOSYST ENVIRON, V142, P63, DOI 10.1016/j.agee.2010.07.011 Ronfort C, 2011, CATENA, V86, P36, DOI 10.1016/j.catena.2011.02.004 Rosenzweig C, 2013, AGR FOREST METEOROL, V170, P166, DOI 10.1016/j.agrformet.2012.09.011 Salter J, 2010, WIRES CLIM CHANGE, V1, P697, DOI 10.1002/wcc.73 Sattler C, 2010, ECOL INDIC, V10, P49, DOI 10.1016/j.ecolind.2009.02.014 Siebenhuner B, 2005, ENVIRON IMPACT ASSES, V25, P367, DOI 10.1016/j.eiar.2004.10.002 Therond O, 2009, ENVIRON SCI POLICY, V12, P619, DOI 10.1016/j.envsci.2009.01.013 Thorburn PJ, 2011, INT J AGR SUSTAIN, V9, P322, DOI 10.1080/14735903.2011.582359 Uthes S, 2011, AGR SYST, V104, P110, DOI 10.1016/j.agsy.2010.07.003 van Ittersum MK, 2008, AGR SYST, V96, P150, DOI 10.1016/j.agsy.2007.07.009 van Paassen A, 2011, INT J AGR SUSTAIN, V9, P310, DOI 10.1080/14735903.2011.582360 Voinov A., 2010, ENVIRON MODELL SOFTW, P1268 Voinov A, 2008, ECOL MODEL, V216, P197, DOI 10.1016/j.ecolmodel.2008.03.010 NR 47 TC 12 Z9 12 U1 7 U2 72 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0308-521X EI 1873-2267 J9 AGR SYST JI Agric. Syst. PD MAR PY 2016 VL 143 BP 147 EP 158 DI 10.1016/j.agsy.2015.12.009 PG 12 WC Agriculture, Multidisciplinary SC Agriculture GA DE8VL UT WOS:000370914700014 DA 2019-04-09 ER PT J AU Gathorne-Hardy, A Reddy, DN Venkatanarayana, M Harriss-White, B AF Gathorne-Hardy, Alfred Reddy, D. Narasimha Venkatanarayana, M. Harriss-White, Barbara TI System of Rice Intensification provides environmental and economic gains but at the expense of social sustainability - A multidisciplinary analysis in India SO AGRICULTURAL SYSTEMS LA English DT Article DE System of Rice Intensification; SRI; interdisciplinary analysis; Livelihoods; India; Life Cycle Assessment ID ENERGY USE PATTERN; VEGETABLE PRODUCTION; HOUSEHOLD INCOME; AGRICULTURE; WATER; SRI; PRODUCTIVITY; IMPACTS; CHINA; CULTIVATION AB The System of Rice Intensification (SRI) is claimed to make rice more sustainable by increasing yields while reducing water demand. However, there remains a shortage of high quality data to test these assertions, and a major research gap exists concerning the wider social and economic implications of SRI techniques. Using primary data we developed a model to simultaneously analyse social, economic and environmental sustain ability (greenhouse gas (GHG) emissions, ground water abstracted, energy use, costs, profit, gender, employment quality and employment quantity) to compare SRI to conventional flooded-rice production systems (control). Data was based on farmer-recall questionnaires in Andhra Pradesh, India. Analysis was per hectare and per kg of paddy. SRI offered substantial environmental and economic benefits: >60% yield gain; GHG emissions, ground-water, fossil energy down by 40%, 60%, and 74% kg(-1) respectively. SRI costs reduced significantly ha(-1), and returns after costs increased by over 400% ha(-1). However, the socio-economic benefits accrued to the farmer at the expense of landless labourers. Employed labour demand (h ha(-1)) reduced to 45% of control, with the greatest decline in female employment- rural India's most vulnerable sector. SRI reduced casual labour remuneration per hectare by 50%. Doubling rates of pay maintain total casual-labour remuneration, and only reduces SRI farm returns by 10%. Yet with no policy support it is unlikely that the private economic benefits of SRI will be shared to landless labourers. Internalising environmental externalities (electricity and GHG) impacted control farms more than SRI farms, including producing negative economic returns when electricity was charged at INR4.7 unit(-1) for control farms. Increasing the farm gate price for paddy by 10% increased control farm returns by 38%, yet even with this substantial increase control farm returns were only a third of SRI returns without a price increase. Identifying and understanding the trade-offs associated with SRI is essential for policy management- while it is not possible to eliminate all trade-offs, identifying them allows for the mitigation of losers. (C) 2016 Elsevier Ltd. All rights reserved. C1 [Gathorne-Hardy, Alfred; Harriss-White, Barbara] Univ Oxford, Somerville Coll, Oxford OX2 6HD, England. [Reddy, D. Narasimha; Venkatanarayana, M.] Natl Inst Rural Dev, NIRD Rd, Hyderabad 500030, Telangana, India. RP Gathorne-Hardy, A (reprint author), Univ Oxford, Somerville Coll, Oxford OX2 6HD, England. EM alfred.gathorne-hardy@some.ox.ac.uk FU ESRC/Dfid Joint Scheme award [RES-167-25-MTRUYG0, ES/1033768/1]; Economic and Social Research Council [ES/I033769/1] FX With thanks to the ESRC/Dfid Joint Scheme award RES-167-25-MTRUYG0; ES/1033768/1 for funding. The views expressed are those of the authors. CR Adusumilli R, 2011, PADDY WATER ENVIRON, V9, P89, DOI 10.1007/s10333-010-0230-6 Aldaya M., 2010, WATER FOOTPRINT COTT Ali S. Z., 2012, Agricultural Economics Research Review, V25, P231 [Anonymous], 2013, CLIMATE AP CLIMATE Barrett CB, 2010, AM J AGR ECON, V92, P447, DOI 10.1093/ajae/aaq005 Berkhout E, 2015, AGR SYST, V132, P157, DOI 10.1016/j.agsy.2014.10.001 Biggs S., 2011, EC POLIT WKLY, V46, P79 Binswanger H.P, 1985, AGR MECH COMP HIST P Bouman BAM, 2007, ADV AGRON, V92, P187, DOI 10.1016/S0065-2113(04)92004-4 Bouman BAM, 2007, WATER MANAGEMENT IRR Canakci M, 2005, ENERG CONVERS MANAGE, V46, P655, DOI 10.1016/j.enconman.2004.04.008 Carriger S, 2007, RICE TODAY, V6, P10, DOI DOI 10.1038/452273A Carswell G, 2014, J AGRAR CHANGE, V14, P564, DOI 10.1111/joac.12054 Cassman K, 2007, RENEW AGR FOOD SYST, V22, P83 Centre for Science and Environment, 2009, GREEN RAT PROJ FERT Chand R., 2003, EC POLIT WKLY, P3027 Chandramouli D.C., 2013, CENSUS INDIA 2011 RE CIDS, 2014, STAT IND FARM REP CT Corbridge S., 2014, CHINA INDIA PATHS EC CSE, 2012, INT FURN GREEN RAT P, P256 Dasgupta P., 2006, IND J LABOUR EC, V49, P293 Dawe D., 2000, STUDIES PLANT SCI, P3 Deere J., 2012, TRACTOR SPECIFICATIO Dobermann A., 2002, BETTER CROPS INT, V16 Dumortier J, 2011, APPL ECON PERSPECT P, V33, P428, DOI 10.1093/aepp/ppr015 Elsayed M., 2003, BB600784REPURN03836 Environmental Defence Fund, NEW CROP RIC FARM CA European Commission (2010) Joint Research Centre Institute for Environment and Sustainability, 2010, INT REF LIF CYCL DAT FAO, 2011, HARV AR ROUGH RIC CO FAOSTAT, 2008, ROUGH RIC PROD COUNT Gathome-Hardy A., 2013, TAIWAN J WATER CONSE, V61, P120 Gathorne-Hardy A., 2013, WORKING PAPER Geethalakshmi V, 2011, ARCH AGRON SOIL SCI, V57, P159, DOI 10.1080/03650340903286422 GoI, 2013, IND RUR DEV REP 2012 Government of India (GOI), 2014, ALL IND REP NUMB AR Gumaste S.G., 2006, EMBODIED ENERGY COMP Harriss B., 1977, GREEN REVOLUTION, P276 Harriss B., 1977, PIECEMEAL PLANNING R Harriss-White B., 2004, RURAL INDIA FACING 2, P3 Harriss-White B., 2009, SOC REGIST, V37 Heller M. C., 2000, CSS0004 U MICH Hull K., 2009, PROMOTING PRO POOR G IPCC, 2006, NAT GUID GREENH GAS IRRI, 2013, RIC PROD PROC IRRI, 2011, RIC CAL SUPPL PERC T Islam M. S., 2010, Bangladesh Journal of Agricultural Research, V35, P343 ISO, 2006, ENV MAN LIF CYCL ASS Khush GS, 2001, NAT REV GENET, V2, P815, DOI 10.1038/35093585 Kogel-Knabner I, 2010, GEODERMA, V157, P1, DOI 10.1016/j.geoderma.2010.03.009 Lerche J, 2011, J AGRAR CHANGE, V11, P104, DOI 10.1111/j.1471-0366.2010.00295.x Li CS, 2006, J ENVIRON QUAL, V35, P1554, DOI 10.2134/jeq2005.0208 Linguist B., 2012, GLOBAL CHANGE BIOL, V18, P194 Lorano E, 2005, 2 UNECEILO Mahindra, 2012, TRACT SPEC Maria A., 2013, STRATEGIC LIFE DECIS, P87 Markussen MV, 2013, ENERGIES, V6, P4170, DOI 10.3390/en6084170 Mekonnen MM, 2014, ECOL INDIC, V46, P214, DOI [10.1016/j.ecolind.2014.06.013, 10.1016/j.ecolind] Mishra S., 2006, ECON POLIT WEEKLY, P1538 Mohanty S., 2013, RICE TODAY JAN, P44 Moser CM, 2006, AGR ECON-BLACKWELL, V35, P373, DOI 10.1111/j.1574-0862.2006.00169.x Nelson G. C., 2009, 00900 IFPRI Noltze M, 2013, ECOL ECON, V85, P59, DOI 10.1016/j.ecolecon.2012.10.009 Patel V, 2012, LANCET, V379, P2343, DOI 10.1016/S0140-6736(12)60606-0 Pimentel D., 1983, FUTURE AM AGR Planning Commission, 2008, 11 5 YEAR PLAN 2007 Prasad R, 2004, CURR SCI INDIA, V87, P1334 Reddy D.N., 2013, SRI CULTIVA IN PRESS, P160 Rodell M, 2009, NATURE, V460, P999, DOI 10.1038/nature08238 Roy S., 2012, INT J AGR ENV BIOTEC, V5, P171 Sainath P., 2014, MAHARASHTRA CROSSES Schramski JR, 2013, ECOL MODEL, V267, P102, DOI 10.1016/j.ecolmodel.2013.07.022 Schramski JR, 2011, ECOL ECON, V72, P88, DOI 10.1016/j.ecolecon.2011.08.017 Sen A., 2002, AGRARIAN STUDIES ESS Senthilkumar K, 2008, AGR SYST, V98, P82, DOI 10.1016/j.agsy.2008.04.002 Shah T, 2008, AGR WATER MANAGE, V95, P1233, DOI 10.1016/j.agwat.2008.04.006 Shah T, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/3/035005 Singh H, 2002, ENERG CONVERS MANAGE, V43, P2275, DOI 10.1016/S0196-8904(01)00161-3 Sinha SK, 2007, AGR WATER MANAGE, V87, P55, DOI 10.1016/j.agwat.2006.06.009 Stoop WA, 2002, AGR SYST, V71, P249, DOI 10.1016/S0308-521X(01)00070-1 Stoop WA, 2009, AGR WATER MANAGE, V96, P1491, DOI 10.1016/j.agwat.2009.06.022 Sumberg J, 2013, GEOGR J, V179, P183, DOI 10.1111/j.1475-4959.2012.00472.x Suryavanshi P, 2013, PADDY WATER ENVIRON, V11, P321, DOI 10.1007/s10333-012-0323-5 Takahashi K, 2014, AM J AGR ECON, V96, P269, DOI 10.1093/ajae/aat086 Tennakoon N. A., 2003, COCOS, V15, P23 Toung T.P., 2003, WATER PRODUCTIVITY A, P55 Uphoff N, 2008, SYSTEM RICE INTENSIF Uphoff N, 2011, PADDY WATER ENVIRON, V9, P3, DOI 10.1007/s10333-010-0224-4 Wang MX, 2010, INT J SUST DEV WORLD, V17, P157, DOI 10.1080/13504501003594224 Wang Y, 2014, AGR ECOSYST ENVIRON, V184, P9, DOI 10.1016/j.agee.2013.11.007 Wood S, 2004, IEA BIOENERGY TASK, V38 NR 90 TC 19 Z9 19 U1 6 U2 35 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0308-521X EI 1873-2267 J9 AGR SYST JI Agric. Syst. PD MAR PY 2016 VL 143 BP 159 EP 168 DI 10.1016/j.agsy.2015.12.012 PG 10 WC Agriculture, Multidisciplinary SC Agriculture GA DE8VL UT WOS:000370914700015 DA 2019-04-09 ER PT J AU Fan, M Shibata, H Wang, Q AF Fan, Min Shibata, Hideaki Wang, Qing TI Optimal conservation planning of multiple hydrological ecosystem services under land use and climate changes in Teshio river watershed, northernmost of Japan SO ECOLOGICAL INDICATORS LA English DT Article DE Land use change; Climate change; Hydrological ecosystem services; Systematic conservation model; Hydrological ecosystem services trade-offs ID BIODIVERSITY CONSERVATION; RESERVE SELECTION; CHANGE SCENARIOS; USE PATTERNS; QUALITY; CATCHMENT; IMPACTS; UNCERTAINTY; NETWORKS; NITROGEN AB Most anthropogenic activities impacted on water quality and quantity, and further impacted on ecosystem services (ESs) in watershed are related to land use and climate changes those may cause losses of ecosystem functions. Effective information regarding ESs and their optimal priority conservation planning responded to land use and climate changes provide useful support for diverse stakeholders in ESs planning, management and policies. This study integrated the approach of spatially explicit ESs (water yield, inorganic nutrient, organic nutrient and sediment retentions) by using hydrology and material flow model (Soil and Water Assessment Tools, SWAT model) into systematic conservation of hydrological ESs according to land use and climate changes in Teshio watershed located in the north of Hokkaido, Japan. We investigated the spatial patterns and the hotspots of ESs changes to determine the spatial pattern of changes in systematic conservation optimal area of ES protection in terms of ESs protection targets. Under the land use and climate change scenarios, the forest land use significantly affected on the water yield, sediment, organic-Nitrogen (N) and organic-Phosphorous (P) retentions. The agricultural land (paddy and farmland fields) impacted on the inorganic-N and inorganic-P retentions. We applied the systematic conservation model (MARXAN model) to optimize the area for management of hydrological ESs satisfied the protection targets (30% and 50% of potential maximum ESs values among all scenarios) in all and individual ecosystem services, respectively. The simulated results indicated that the areas of spatial optimal ESs protection for all hydrological ESs were totally different from those for individual ESs. For bundles of ESs, the optimal priority conservation areas concentrated in southwest, north, and southeast of this watershed, which are related to land use, topography and climate driving factors. These places could guarantee ESs sustainability from both environmental protection and agricultural development standpoints. The priority conservation area turned more compact under climate change because the increased precipitation and temperature increased ESs amount. For individual ESs, the optimal priority conservation areas of water yield, sediment retention and organic nutrient retention were traded off against those of inorganic nutrient retention (lower Jaccard's indexes and negative correlations of selection times). Especially, the negative correlation of selection times increased as the conservation target increased from 30% to 50%. The proposed approach provided useful information for assessing the responses of ESs and systematic conservation optimal planning to the land use and climate changes. The systematic conservation optimal areas of hydrological ESs provided an effective trade-off tool between environmental protection (sediment and organic nutrient retentions) and economic development (water yield and inorganic nutrient retention). (C) 2015 Elsevier Ltd. All rights reserved. C1 [Fan, Min; Wang, Qing] Southwest Univ Sci & Technol, Sch Environm & Resource, 59 Middle Qinglong Rd, Mianyang 621010, Sichuan, Peoples R China. [Shibata, Hideaki] Hokkaido Univ, Field Sci Ctr Northern Biosphere, Kita 9,Nishi 9, Sapporo, Hokkaido 0600809, Japan. [Fan, Min] Hokkaido Univ, Grad Sch Environm Sci, Kita Ku, Kita 10,Nishi 5, Sapporo, Hokkaido 0600810, Japan. RP Fan, M (reprint author), Southwest Univ Sci & Technol, Sch Environm & Resource, 59 Middle Qinglong Rd, Mianyang 621010, Sichuan, Peoples R China. EM firstfanmin@hotmail.com RI Wang, Qing/L-5245-2016 OI Wang, Qing/0000-0002-3263-8880; Shibata, Hideaki/0000-0002-8968-3594 FU China Scholarship Council; Southwest University of Science and Technology [15zx7132]; Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) FX This study was partly supported by a scholarship from the China Scholarship Council and doctor research fund supported by Southwest University of Science and Technology (15zx7132). The work was conducted under the Program for Risk Information on Climate Change, supported by the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT). We also appreciated the editors and reviewers for fundamental improvement of this manuscript. CR Airame S, 2003, ECOL APPL, V13, pS170 Alibuyog N. R., 2009, International Agricultural Engineering Journal, V18, P15 Arnold JG, 1996, J HYDROL, V176, P57, DOI 10.1016/0022-1694(95)02782-3 Ball I. R., 2001, MARXAN RESERVE SYSTE Bolstad PV, 1997, J AM WATER RESOUR AS, V33, P519, DOI 10.1111/j.1752-1688.1997.tb03529.x Bouraoui F, 2002, HYDROL EARTH SYST SC, V6, P197, DOI 10.5194/hess-6-197-2002 Brown AE, 2005, J HYDROL, V310, P28, DOI 10.1016/j.jhydrol.2004.12.010 Bu HM, 2014, ECOL INDIC, V41, P187, DOI 10.1016/j.ecolind.2014.02.003 Butler JRA, 2013, AGR ECOSYST ENVIRON, V180, P176, DOI 10.1016/j.agee.2011.08.017 Carroll C, 2010, GLOBAL CHANGE BIOL, V16, P891, DOI 10.1111/j.1365-2486.2009.01965.x Chan KMA, 2006, PLOS BIOL, V4, P2138, DOI 10.1371/journal.pbio.0040379 Chape S, 2005, PHILOS T ROY SOC B, V360, P443, DOI 10.1098/rstb.2004.1592 Chaplot V, 2004, WATER AIR SOIL POLL, V154, P271, DOI 10.1023/B:WATE.0000022973.60928.30 Cook RR, 2005, CONSERV BIOL, V19, P876, DOI 10.1111/j.1523-1739.2005.00613.x Culver DC, 2004, BIODIVERS CONSERV, V13, P1209, DOI 10.1023/B:BIOC.0000018153.49280.89 Egoh B, 2009, BIOL CONSERV, V142, P553, DOI 10.1016/j.biocon.2008.11.009 Egoh B, 2007, ECOL ECON, V63, P714, DOI 10.1016/j.ecolecon.2007.04.007 Egoh BN, 2011, J ENVIRON MANAGE, V92, P1642, DOI 10.1016/j.jenvman.2011.01.019 Egoh BN, 2010, CONSERV BIOL, V24, P1021, DOI 10.1111/j.1523-1739.2009.01442.x Fan M., 2014, MITIG ADAPT STRATEG Fan M, 2015, ECOL INDIC, V50, P79, DOI 10.1016/j.ecolind.2014.11.003 FERRIER RC, 1995, WATER RES, V29, P1950, DOI 10.1016/0043-1354(95)00004-5 Fitzpatrick FA, 2001, J AM WATER RESOUR AS, V37, P1489, DOI 10.1111/j.1752-1688.2001.tb03655.x Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2 Gordon A, 2009, LANDSCAPE URBAN PLAN, V91, P183, DOI 10.1016/j.landurbplan.2008.12.011 Grantham HS, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011430 Harwood J, 2003, TRENDS ECOL EVOL, V18, P617, DOI 10.1016/j.tree.2003.08.001 Haverkamp S, 2005, HYDROL PROCESS, V19, P715, DOI 10.1002/hyp.5626 Humphries C. J., 1996, PRIORITY AREAS ANAL Ileva NY, 2009, SUSTAIN SCI, V4, P189, DOI 10.1007/s11625-009-0081-5 Johnes PJ, 1997, HYDROL PROCESS, V11, P269, DOI 10.1002/(SICI)1099-1085(19970315)11:3<269::AID-HYP442>3.0.CO;2-K Kark S, 2009, P NATL ACAD SCI USA, V106, P15368, DOI 10.1073/pnas.0901001106 Katsuyama M, 2009, SUSTAIN SCI, V4, P179, DOI 10.1007/s11625-009-0079-z Khan ML, 1997, BIODIVERS CONSERV, V6, P853, DOI 10.1023/B:BIOC.0000010406.35667.c0 KIRKPATRICK S, 1983, SCIENCE, V220, P671, DOI 10.1126/science.220.4598.671 Kujala H, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0053315 Lashkari A, 2012, MITIG ADAPT STRAT GL, V17, P1, DOI 10.1007/s11027-011-9305-y Legesse D, 2003, J HYDROL, V275, P67, DOI 10.1016/S0022-1694(03)00019-2 LENAT DR, 1994, HYDROBIOLOGIA, V294, P185, DOI 10.1007/BF00021291 Lin YP, 2007, ENVIRON GEOL, V53, P623, DOI 10.1007/s00254-007-0677-y Margules CR, 2000, NATURE, V405, P243, DOI 10.1038/35012251 Marshall E., 2008, CLIMATIC CHANGE, V89, P280 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING BI Mishima S, 2010, NUTR CYCL AGROECOSYS, V87, P159, DOI 10.1007/s10705-009-9324-1 Moilanen A., 2007, CONSERV LETT, V3, P291 Moilanen A, 2007, BIOL CONSERV, V134, P571, DOI 10.1016/j.biocon.2006.09.008 Nackoney J, 2013, BIOL CONSERV, V164, P140, DOI 10.1016/j.biocon.2013.04.011 Naidoo R, 2008, P NATL ACAD SCI USA, V105, P9495, DOI 10.1073/pnas.0707823105 Naidoo R, 2006, TRENDS ECOL EVOL, V21, P681, DOI 10.1016/j.tree.2006.10.003 Neitsch SL, 2011, SOIL WATER ASSESSMEN Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023 NICHOLLS AO, 1993, BIOL CONSERV, V64, P165, DOI 10.1016/0006-3207(93)90654-J Parry ML, 2007, CLIMATE CHANGE 2007 Possingham H. P., 2000, QUANTITATIVE METHODS Pressey RL, 1996, BIOL CONSERV, V76, P259, DOI 10.1016/0006-3207(95)00120-4 Rodriguez JP, 2006, ECOL SOC, V11 Sarkar S, 2006, ANNU REV ENV RESOUR, V31, P123, DOI 10.1146/annurev.energy.31.042606.085844 Schroter D, 2005, SCIENCE, V310, P1333, DOI 10.1126/science.1115233 Sharpley A.N., 1990, TECH B, V1768 Shriner SA, 2006, ECOL APPL, V16, P1660, DOI 10.1890/1051-0761(2006)016[1660:RNBORH]2.0.CO;2 Smith RJ, 2010, BIOL CONSERV, V143, P2525, DOI 10.1016/j.biocon.2010.06.019 Tani M, 1997, J HYDROL, V200, P84, DOI 10.1016/S0022-1694(97)00018-8 Thomas CD, 2004, NATURE, V427, P145, DOI 10.1038/nature02121 Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014 Trisurat Y, 2010, ENVIRON MANAGE, V45, P626, DOI 10.1007/s00267-010-9438-x TSUKAMOTO Y, 1988, J HYDROL, V102, P165, DOI 10.1016/0022-1694(88)90096-0 Tung CP, 2006, HYDROL PROCESS, V20, P1629, DOI 10.1002/hyp.5959 Turner WR, 2007, BIOSCIENCE, V57, P868, DOI 10.1641/B571009 van Jaarsveld AS, 1998, SCIENCE, V279, P2106, DOI 10.1126/science.279.5359.2106 Verburg PH, 2009, LANDSCAPE ECOL, V24, P1167, DOI 10.1007/s10980-009-9355-7 Warman LD, 2004, CONSERV BIOL, V18, P655, DOI 10.1111/j.1523-1739.2004.00538.x Weeks R, 2010, BIOL CONSERV, V143, P1236, DOI 10.1016/j.biocon.2010.02.031 White D, 2008, COMPUT ENVIRON URBAN, V32, P165, DOI 10.1016/j.compenvurbsys.2007.11.002 Zhao B, 2004, LAND USE POLICY, V21, P139, DOI 10.1016/j.landusepol.2003.10.003 NR 74 TC 18 Z9 19 U1 3 U2 125 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD MAR PY 2016 VL 62 BP 1 EP 13 DI 10.1016/j.ecolind.2015.10.064 PG 13 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA DE2JW UT WOS:000370454600001 DA 2019-04-09 ER PT J AU Wright, C Ostergard, H AF Wright, Christina Ostergard, Hanne TI Renewability and emergy footprint at different spatial scales for innovative food systems in Europe SO ECOLOGICAL INDICATORS LA English DT Article DE Low-input agriculture; Renewability; Food supply system; Emergy footprint; Renewable empower density; Overshoot ID ECOLOGICAL FOOTPRINT; CARRYING-CAPACITY; ENERGY; SUSTAINABILITY; INDICATOR; TRADE; LAND; NEED AB Food production is increasingly being challenged by limited resources of energy and land as well as by growing demand for food. In a future with less availability of fossil fuels, land area will become very important for capturing the flow-limited renewable resources. Emergy assessment has been applied to calculate scale dependent indicators, which account for the land area needed, if agricultural systems were to be supported solely on renewable sources. These indicators are designated emergy footprints (EmFs) and expand the concept of support area defined previously in emergy accounting. The EmF (in ha) is calculated based on renewable empower densities which convert resource use into area equivalents able to capture renewable flows. The spatial division between on-site, local and non-local land areas applied in this study, identifies where the support area is located in order to apply a site-specific renewable empower density. A new indicator applying the EmF is the emergy overshoot factor, which estimates the ratio between EmF and the geographical system boundary (in ha). We apply this approach on three innovative food supply systems in Europe located at farms characterised by combining high diversity, reduced use of resources, nutrient cycling and local sales. The question is whether this type of food system may be considered sustainable from a resource use point of view measured as resource use efficiency by means of unit emergy value (UEV), renewability (Ron-site and R-global), direct and indirect occupation of land on different spatial scales (EmF and Emergy overshoot factor) and productivity per ha of the directly observed areas and the EmF area, respectively. Labour inputs constituted between 13 and 80% of the total emergy flow. The proportion of resource use from renewable sources was between 31 and 60% when excluding the inputs of direct labour. The food system with the lowest UEV, excluding direct labour, had the highest emergy overshoot factor, which even exceeded the global average of seven. However, this system had the highest productivity. The system with the highest UEV, excluding direct labour, had the lowest overshoot factor. In conclusion, each food system strategy has its pros and cons and it depends on the priorities, which is judged the most sustainable from an emergy point of view. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Wright, Christina; Ostergard, Hanne] Tech Univ Denmark, Dept Chem & Biochem Engn, DK-2800 Lyngby, Denmark. RP Ostergard, H (reprint author), Tech Univ Denmark, Dept Chem & Biochem Engn, DK-2800 Lyngby, Denmark. EM haqs@kt.dtu.dk OI Ostergard, Hanne/0000-0001-6131-5717 FU EU [KBBE-245058-SOLIBAM] FX This paper was supported by the EU grant no. KBBE-245058-SOLIBAM. We acknowledge the collection of data by Michal Kulak and Carolina Passiera, Agroscope, Mads V. Markussen, DTU, and Livia Ortolani, AIAB/UCPH. Further, the local support by Veronique Chable, INRA, for the French farm, Daniela Santos, ESAC, for the Portuguese farm and Riccardo Bocci, AIAB, for the Italian farm is acknowledged. For comments on an earlier version of the manuscript, we thank Fabiana Morandi, DTU, and for design of the emergy diagrams, we thank Andreas Kamp, DTU. CR Agostinho F, 2013, ECOL INDIC, V24, P494, DOI 10.1016/j.ecolind.2012.08.006 Agostinho F, 2012, ENERGY, V37, P103, DOI 10.1016/j.energy.2011.10.003 Bjorklund J., 2013, METHODS PROCEDURES B, P161 Bjorklund J, 2009, J SUSTAIN AGR, V33, P885, DOI 10.1080/10440040903303694 Bouwman AF, 1998, NUTR CYCL AGROECOSYS, V52, P261, DOI 10.1023/A:1009763706114 Brown M.T., 2015, ENERGY SECURITY DEV Brown MT, 2011, ECOL MODEL, V223, P4, DOI 10.1016/j.ecolmodel.2011.05.019 Brown MT, 2001, POPUL ENVIRON, V22, P471, DOI 10.1023/A:1010756704612 Cavalett O, 2006, ECOL MODEL, V193, P205, DOI 10.1016/j.ecolmodel.2005.07.023 Cavalett O, 2009, J CLEAN PROD, V17, P762, DOI 10.1016/j.jclepro.2008.11.022 Coppola F, 2009, BIOMASS BIOENERG, V33, P1626, DOI 10.1016/j.biombioe.2009.08.003 Cuadra M, 2007, ECOL INDIC, V7, P133, DOI 10.1016/j.ecolind.2005.11.003 Felix E, 2009, ENERGY, V34, P410, DOI 10.1016/j.energy.2008.10.013 Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Gomiero T, 2011, CRIT REV PLANT SCI, V30, P95, DOI 10.1080/07352689.2011.554355 Grote U, 2005, ENVIRON SCI POLICY, V8, P439, DOI 10.1016/j.envsci.2005.05.001 Huang SL, 2005, ECOL MODEL, V189, P49, DOI 10.1016/j.ecolmodel.2005.03.004 IKERD JE, 1993, AGR ECOSYST ENVIRON, V46, P147, DOI 10.1016/0167-8809(93)90020-P Kamp A, 2016, ECOL INDIC, V60, P884, DOI 10.1016/j.ecolind.2015.08.011 Kamp A, 2013, ECOL MODEL, V253, P70, DOI 10.1016/j.ecolmodel.2012.12.027 Markussen MV, 2014, SUSTAINABILITY-BASEL, V6, P1913, DOI 10.3390/su6041913 Markussen MV, 2013, ENERGIES, V6, P4170, DOI 10.3390/en6084170 National Environmental Accounting Database (NEAD), 2012, NAT ENV ACC DAT NEAD Odum H. T, 1996, ENV ACCOUNTING EMERG Odum H.T., 2000, HDB EMERGY EVALUATIO Ortega E, 2005, B SCI TECHNOL SOC, V25, P323, DOI DOI 10.1177/0270467605278367 Pereira L, 2012, ECOL INDIC, V16, P113, DOI 10.1016/j.ecolind.2011.06.016 Pimentel D, 2010, HUM ECOL, V38, P599, DOI 10.1007/s10745-010-9346-y Rugani B., 2010, EMERGY SYNTHESIS, P347 Scheidel A, 2012, GLOBAL ENVIRON CHANG, V22, P588, DOI 10.1016/j.gloenvcha.2011.12.005 Siche R, 2010, COMMUN NONLINEAR SCI, V15, P3182, DOI 10.1016/j.cnsns.2009.10.027 Sorman AH, 2013, J CLEAN PROD, V38, P80, DOI 10.1016/j.jclepro.2011.11.059 Souci SW, 2000, FOOD COMPOSITION NUT Sundkvist A, 2005, FOOD POLICY, V30, P224, DOI 10.1016/j.foodpol.2005.02.003 Ulgiati S., 2014, J ENV ACC MANAGE, V2, P163, DOI DOI 10.5890/JEAM.2014.06.006 Ulgiati S, 2005, EMERGY SYNTHESIS Wackernagel M., 1996, OUR ECOLOGICAL FOOTP Wackernagel M., 2000, ENVIRON DEV SUSTAIN, V2, P21, DOI DOI 10.1023/A:1010050700699 Wright C., 2015, ECOL MODEL Wright C., 2014, FP7KBBE245058 EU Zhao S, 2005, ECOL MODEL, V185, P65, DOI 10.1016/j.ecolmodel.2004.11.016 NR 41 TC 4 Z9 4 U1 1 U2 30 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD MAR PY 2016 VL 62 BP 220 EP 227 DI 10.1016/j.ecolind.2015.10.042 PG 8 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA DE2JW UT WOS:000370454600022 DA 2019-04-09 ER PT J AU Milner, S Holland, RA Lovett, A Sunnenberg, G Hastings, A Smith, P Wang, SF Taylor, G AF Milner, Suzanne Holland, Robert A. Lovett, Andrew Sunnenberg, Gilla Hastings, Astley Smith, Pete Wang, Shifeng Taylor, Gail TI Potential impacts on ecosystem services of land use transitions to second-generation bioenergy crops in GB SO GLOBAL CHANGE BIOLOGY BIOENERGY LA English DT Article DE biofuel crops; ecological processes; ecosystem services; GIS; land use; Miscanthus; short-rotation coppice; short-rotationforestry; sustainability; trade-offs ID GREENHOUSE-GAS EMISSIONS; MISCANTHUS X GIGANTEUS; PHALARIS-ARUNDINACEA FIELDS; ENERGY CROP; CARBON SEQUESTRATION; ENVIRONMENTAL BENEFITS; HYDROLOGIC-CYCLE; PUBLIC-OPINION; GREAT-BRITAIN; SOIL AB We present the first assessment of the impact of land use change (LUC) to second-generation (2G) bioenergy crops on ecosystem services (ES) resolved spatially for Great Britain (GB). A systematic approach was used to assess available evidence on the impacts of LUC from arable, semi-improved grassland or woodland/forest, to 2G bioenergy crops, for which a quantitative threat matrix' was developed. The threat matrix was used to estimate potential impacts of transitions to either Miscanthus, short-rotation coppice (SRC, willow and poplar) or short-rotation forestry (SRF). The ES effects were found to be largely dependent on previous land uses rather than the choice of 2G crop when assessing the technical potential of available biomass with a transition from arable crops resulting in the most positive effect on ES. Combining these data with constraint masks and available land for SRC and Miscanthus (SRF omitted from this stage due to lack of data), south-west and north-west England were identified as areas where Miscanthus and SRC could be grown, respectively, with favourable combinations of economic viability, carbon sequestration, high yield and positive ES benefits. This study also suggests that not all prospective planting of Miscanthus and SRC can be allocated to agricultural land class (ALC) ALC 3 and ALC 4 and suitable areas of ALC 5 are only minimally available. Beneficial impacts were found on 146583 and 71890ha when planting Miscanthus or SRC, respectively, under baseline planting conditions rising to 293247 and 91318ha, respectively, under 2020 planting scenarios. The results provide an insight into the interplay between land availability, original land uses, bioenergy crop type and yield in determining overall positive or negative impacts of bioenergy cropping on ecosystems services and go some way towards developing a framework for quantifying wider ES impacts of this important LUC. C1 [Milner, Suzanne; Holland, Robert A.; Taylor, Gail] Univ Southampton, Ctr Biol Sci, Southampton SO17 1BJ, Hants, England. [Lovett, Andrew; Sunnenberg, Gilla] Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England. [Hastings, Astley; Smith, Pete; Wang, Shifeng] Univ Aberdeen, Inst Biol & Environm Sci, 23 St Machar Dr, Aberdeen AB24 3UU, Scotland. RP Taylor, G (reprint author), Univ Southampton, Ctr Biol Sci, Southampton SO17 1BJ, Hants, England. EM g.taylor@soton.ac.uk RI Smith, Pete/G-1041-2010; Wang, Shifeng/A-5060-2015 OI Smith, Pete/0000-0002-3784-1124; Wang, Shifeng/0000-0001-8761-9823; Holland, Robert/0000-0002-5927-9160; Holland, Robert/0000-0002-3038-9227 FU UKERC; Natural Environment Research Council (NERC) [NE/H013237/1]; European Union (GHG-Europe project); BBSRC (GIANT-LINK project); NERC as part of the Carbo-BioCrop project [NE/H010742/1]; MAGLUE project [EP/M013200/1]; Addressing valuation of energy and nature together (ADVENT) [NE/M019713/1]; EPSRC SUPERGEN Bioenergy projects [EP/K036734/1] FX This work was supported by UKERC, Natural Environment Research Council (NERC) award NE/H013237/1, by the European Union (GHG-Europe project), BBSRC (GIANT-LINK project), by NERC as part of the Carbo-BioCrop project (Grant reference number: NE/H010742/1), by the MAGLUE project (Grant reference number: EP/M013200/1), Addressing valuation of energy and nature together (ADVENT) (Grant reference number: NE/M019713/1) and by the EPSRC SUPERGEN Bioenergy projects (Grant reference number: EP/K036734/1). CR Albaladejo J, 2013, J SOIL SEDIMENT, V13, P265, DOI 10.1007/s11368-012-0617-7 Alexander P, 2014, GCB BIOENERGY, V6, P142, DOI 10.1111/gcbb.12121 Arima EY, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/2/024010 Aylott MJ, 2010, BIOFUELS-UK, V1, P719, DOI [10.4155/bfs.10.30, 10.4155/BFS.10.30] Barnett MO, 2010, ENVIRON SCI TECHNOL, V44, P5330, DOI 10.1021/es101309q Bateman IJ, 2013, SCIENCE, V341, P45, DOI 10.1126/science.1234379 Bianchi FJJA, 2006, P ROY SOC B-BIOL SCI, V273, P1715, DOI 10.1098/rspb.2006.3530 Blanco-Canqui H, 2010, AGRON J, V102, P403, DOI 10.2134/agronj2009.0333 Boardman J., 2006, SOIL EROSION EUROPE Borjesson P, 1999, BIOMASS BIOENERG, V16, P137, DOI 10.1016/S0961-9534(98)00080-4 Borzecka-Walker M, 2008, INT AGROPHYS, V22, P185 BOSATTA E, 1991, AM NAT, V138, P227, DOI 10.1086/285213 Bourke D, 2014, GCB BIOENERGY, V6, P275, DOI 10.1111/gcbb.12089 Busch G, 2012, BIOENERG RES, V5, P584, DOI 10.1007/s12155-012-9224-0 Clifton-Brown J, 2008, COMP BIOCHEM PHYS A, V150, pS174, DOI 10.1016/j.cbpa.2008.04.464 Clifton-Brown JC, 2007, GLOBAL CHANGE BIOL, V13, P2296, DOI 10.1111/j.1365-2486.2007.01438.x Coleman K, 1999, ROTHC 26 3 MODEL TUR Dauber J, 2010, GCB BIOENERGY, V2, P289, DOI 10.1111/j.1757-1707.2010.01058.x Davis SC, 2013, GCB BIOENERGY, V5, P623, DOI 10.1111/gcbb.12042 Dockerty T, 2012, J ENVIRON PLANN MAN, V55, P1134, DOI 10.1080/09640568.2011.636966 Dondini M, 2009, GCB BIOENERGY, V1, P413, DOI 10.1111/j.1757-1707.2010.01033.x Donnelly A, 2011, GCB BIOENERGY, V3, P247, DOI 10.1111/j.1757-1707.2010.01086.x Eigenbrod F, 2011, P ROY SOC B-BIOL SCI, V278, P3201, DOI 10.1098/rspb.2010.2754 FAO R, 2009, HARM WORLD SOIL DAT Fargione J, 2008, SCIENCE, V319, P1235, DOI 10.1126/science.1152747 Finch JW, 2010, HYDROL PROCESS, V24, P2594, DOI 10.1002/hyp.7673 Food Department for Environment, 2013, AR CROPS GROWN BIOEN, P1 Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Hansen EM, 2004, BIOMASS BIOENERG, V26, P97, DOI 10.1016/S0961-9534(03)00102-8 Hastings A, 2008, AGRON SUSTAIN DEV, V28, P465, DOI 10.1051/agro:2008030 Hastings A, 2014, GCB BIOENERGY, V6, P108, DOI 10.1111/gcbb.12103 Hastings A, 2009, GCB BIOENERGY, V1, P154, DOI 10.1111/j.1757-1707.2009.01007.x Hastings A, 2009, GCB BIOENERGY, V1, P180, DOI 10.1111/j.1757-1707.2009.01012.x Hillier J, 2009, GCB BIOENERGY, V1, P267, DOI 10.1111/j.1757-1707.2009.01021.x Holland RA, 2015, RENEW SUST ENERG REV, V46, P30, DOI 10.1016/j.rser.2015.02.003 Jenkins G, 2009, UK CLIMATE PROJECTIO Kang S. J., 2013, Journal of Agricultural Science (Toronto), V5, P129 Lattimore B, 2009, BIOMASS BIOENERG, V33, P1321, DOI 10.1016/j.biombioe.2009.06.005 Le PVV, 2011, P NATL ACAD SCI USA, V108, P15085, DOI 10.1073/pnas.1107177108 Lovett A, 2014, GCB BIOENERGY, V6, P99, DOI 10.1111/gcbb.12147 Lovett AA, 2009, BIOENERG RES, V2, P17, DOI [10.1007/s12155-008-9030-x, 10.1007/s12155-008-9030-X] Manning P, 2014, GCB BIOENERGY Matthews RB, 2001, ASPECTS APPL BIOL, V65, P303 Metzger MJ, 2006, AGR ECOSYST ENVIRON, V114, P69, DOI 10.1016/j.agee.2005.11.025 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING OU Plevin RJ, 2010, ENVIRON SCI TECHNOL, V44, P8015, DOI 10.1021/es101946t Pyatt G., 2001, BULLETIN, V124 Rathmann R, 2010, RENEW ENERG, V35, P14, DOI 10.1016/j.renene.2009.02.025 Rowe RL, 2013, GCB BIOENERGY, V5, P257, DOI 10.1111/gcbb.12040 Rowe RL, 2011, BIOMASS BIOENERG, V35, P325, DOI 10.1016/j.biombioe.2010.08.046 Rowe RL, 2009, RENEW SUST ENERG REV, V13, P271, DOI 10.1016/j.rser.2007.07.008 Schulze ED, 2012, GCB BIOENERGY, V4, P611, DOI 10.1111/j.1757-1707.2012.01169.x Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 Selman P, 2010, LANDSCAPE RES, V35, P157, DOI 10.1080/01426390903560414 Semere T, 2007, BIOMASS BIOENERG, V31, P30, DOI 10.1016/j.biombioe.2006.07.002 Semere T, 2007, BIOMASS BIOENERG, V31, P20, DOI 10.1016/j.biombioe.2006.07.001 Smith P, 2008, PHILOS T R SOC B, V363, P789, DOI 10.1098/rstb.2007.2184 St Clair S, 2008, BIOMASS BIOENERG, V32, P442, DOI 10.1016/j.biombioe.2007.11.001 Tallis MJ, 2013, GCB BIOENERGY, V5, P53, DOI 10.1111/j.1757-1707.2012.01191.x Thompson DA, 1989, STORAGE CARBON TREES, V160 Tilman D, 2009, SCIENCE, V325, P270, DOI 10.1126/science.1177970 Tirado MC, 2010, FOOD RES INT, V43, P1745, DOI 10.1016/j.foodres.2010.07.003 UK National Ecosystem Assessment, 2011, UK NAT EC ASS TECHN Updegraff K, 2004, BIOMASS BIOENERG, V27, P411, DOI 10.1016/j.biombioe.2004.05.002 Upham P, 2007, BIOMASS BIOENERG, V31, P433, DOI 10.1016/j.biombioe.2007.01.017 Valentine J, 2012, GCB BIOENERGY, V4, P1, DOI 10.1111/j.1757-1707.2011.01111.x Vanloocke A, 2010, GCB BIOENERGY, V2, P180, DOI 10.1111/j.1757-1707.2010.01053.x Wang SF, 2014, GCB BIOENERGY, V6, P136, DOI 10.1111/gcbb.12123 Wang SF, 2012, GCB BIOENERGY, V4, P88, DOI 10.1111/j.1757-1707.2011.01112.x Werling BP, 2014, P NATL ACAD SCI USA, V111, P1652, DOI 10.1073/pnas.1309492111 Whitaker J, 2010, GCB BIOENERGY, V2, P99, DOI 10.1111/j.1757-1707.2010.01047.x Wynn JG, 2007, GLOBAL CHANGE BIOL, V13, P2206, DOI 10.1111/j.1365-2486.2007.01435.x Yan XY, 2010, ENERG ENVIRON SCI, V3, P190, DOI 10.1039/b915801d Zatta A, 2014, GCB BIOENERGY, V6, P360, DOI 10.1111/gcbb.12054 Zimmermann J, 2012, GCB BIOENERGY, V4, P453, DOI 10.1111/j.1757-1707.2011.01117.x NR 75 TC 20 Z9 20 U1 3 U2 57 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1757-1693 EI 1757-1707 J9 GCB BIOENERGY JI GCB Bioenergy PD MAR PY 2016 VL 8 IS 2 BP 317 EP 333 DI 10.1111/gcbb.12263 PG 17 WC Agronomy; Biotechnology & Applied Microbiology; Energy & Fuels SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels GA DE2XU UT WOS:000370492100006 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Mohr, M Schlich, M AF Mohr, Manuel Schlich, Michaela TI Socio-demographic basic factors of German customers as predictors for sustainable consumerism regarding foodstuffs and meat products SO INTERNATIONAL JOURNAL OF CONSUMER STUDIES LA English DT Article DE Sustainable food; meat consumption; grocery shopping; sustainable consumerism; socio-demographics ID PRO-ENVIRONMENTAL BEHAVIOR; ORGANIC FOOD; FAIR TRADE; CLIMATE-CHANGE; CONSUMPTION; HOUSEHOLDS; PURCHASE; IMPACT; VALUES; GREEN AB An important step in promoting sustainable purchase behaviour is to explore the understanding of responsible consumerism from the consumers' point of view. For this purpose, a study among 1040 German consumers was carried out using a two-pronged approach. First, open-ended questions were used to explore the characteristics of sustainable food consumption in general as well as the willingness and meaningfulness of a low-meat diet from the consumers' point of view. After that the interactive structure behind the term was studied using a quantitative empirical method. As standard of evaluation the four underlying socio-demographic factors gender, age, wealth and education are used. Apart from the consumers' financial situation, the applied statistics show significant correlations of the propensity for sustainable consumerism to each of the above factors. Women, middle-aged and well-educated consumers show a greater tendency to purchase environmentally and socially sustainable products. Accordingly, the suitability of socio-demographic factors is confirmed in this study. The open-ended questions fathom what attributes consumers connect with sustainable food consumption, in particularly with regard to the consumption of meat. It is clear that attributes that affect consumers directly and attributes which can be directly influenced by their actions are better perceived by the consumer. Altruistic factors or abstract aspects of food consumption (e.g. climate protection) are generally of less significance. Conversely, factors which concern the value added chain, like for example, origin and processing, have priority. To conclude, the findings enable the identification of the variables determining the sustainability construct. This allows policy makers to develop customized incentive systems. Similarly, private sector stakeholders are enabled to adapt marketing activities and their product mix to consumer demands. C1 [Mohr, Manuel] Univ Giessen, Dept Proc Engn Food & Servicing Business, Stephanstr 24, D-35390 Giessen, Germany. [Schlich, Michaela] Univ Koblenz Landau, Dept Food & Consumer Educ, Koblenz, Germany. RP Mohr, M (reprint author), Univ Giessen, Dept Proc Engn Food & Servicing Business, Stephanstr 24, D-35390 Giessen, Germany. EM Manuel.Mohr@agrar.uni-giessen.de CR Austgulen MH, 2014, J CONSUM POLICY, V37, P45, DOI 10.1007/s10603-013-9246-9 Autio M, 2013, INT J CONSUM STUD, V37, P564, DOI 10.1111/ijcs.12029 Blake CE, 2009, APPETITE, V52, P711, DOI 10.1016/j.appet.2009.03.011 Brace I., 2013, QUESTIONNAIRE DESIGN, P194 Brunner TA, 2014, INT J CONSUM STUD, V38, P200, DOI 10.1111/ijcs.12081 Buhl A., 2008, 16 SPSS, P540 Caeiro S, 2012, J CLEAN PROD, V27, P72, DOI 10.1016/j.jclepro.2011.12.026 CoFresco, 2011, SAV FOOD STUD WEGW L Dean M, 2007, J CEREAL SCI, V46, P188, DOI 10.1016/j.jcs.2007.06.007 Denver S, 2014, FOOD QUAL PREFER, V31, P129, DOI 10.1016/j.foodqual.2013.08.014 DGE, 2012, 12 DGE Eckhardt GM, 2010, J CONSUM BEHAV, V9, P426, DOI 10.1002/cb.332 Elliott R, 2013, POETICS, V41, P294, DOI 10.1016/j.poetic.2013.03.003 Escalas J., 2013, J CONSUM RES, V39, pxv, DOI DOI 10.1086/669165 FAO, 2006, LIV LONG SHAD ENV IS FAO [Food and Agriculture Organization], 2011, INT C SAVE FOOD INT Filho W. L., 2013, INT J CONSUM STUD, V37, P414 Foster C., 2006, ENV IMPACTS FOOD PRO Frostling-Henningsson M, 2014, BRIT FOOD J, V116, P872, DOI 10.1108/BFJ-11-2010-0190 Geeraert F, 2013, INT J CONSUM STUD, V37, P121, DOI 10.1111/j.1470-6431.2012.01100.x GERBING DW, 1988, J MARKETING RES, V25, P186, DOI 10.2307/3172650 Gottschalk I, 2013, INT J CONSUM STUD, V37, P136, DOI 10.1111/j.1470-6431.2012.01101.x Grebitus C, 2013, ECOL ECON, V88, P67, DOI 10.1016/j.ecolecon.2013.01.006 Grunert KG, 2012, FOOD QUAL PREFER, V26, P166, DOI 10.1016/j.foodqual.2012.04.007 Hanss D, 2013, J ENVIRON PSYCHOL, V33, P53, DOI 10.1016/j.jenvp.2012.10.002 Hanss D, 2012, INT J CONSUM STUD, V36, P678, DOI 10.1111/j.1470-6431.2011.01045.x HEA, 2014, HAUSH BETR EN KENN Hoffmann S, 2013, INT J CONSUM STUD, V37, P625, DOI 10.1111/ijcs.12044 Holm L, 2000, APPETITE, V34, P277, DOI 10.1006/appe.2000.0324 Huvstedt G., 2010, INT J CONSUM STUD, V34, P619 Kim Y., 1997, J AM DIET ASSOC, V97, pA40 Kirchhoff S., 2010, FRAGEBOGEN DATENBASI, P24 Koppel H, 2013, J CONSUM POLICY, V36, P369, DOI 10.1007/s10603-013-9234-0 Kriwy P, 2012, INT J CONSUM STUD, V36, P30, DOI 10.1111/j.1470-6431.2011.01004.x Kropp C., 2004, 2 MUNCHN PROJ SOZ Latvala T, 2012, MEAT SCI, V92, P71, DOI 10.1016/j.meatsci.2012.04.014 Lea E., 2008, APPETITE, V5, P207 Lee YK, 2014, J BUS RES, V67, P2097, DOI 10.1016/j.jbusres.2014.04.018 Lin PC, 2012, J CLEAN PROD, V22, P11, DOI 10.1016/j.jclepro.2011.10.002 Lockie S, 2002, SOCIOL RURALIS, V42, P23, DOI 10.1111/1467-9523.00200 Lundberg J, 2012, J CONSUM POLICY, V35, P373, DOI 10.1007/s10603-012-9193-x Marian L, 2014, FOOD QUAL PREFER, V37, P52, DOI 10.1016/j.foodqual.2014.05.001 Marx-Pienaar NJMM, 2014, INT J CONSUM STUD, V38, P419, DOI 10.1111/ijcs.12111 Mesias F., 2005, J CONSUMER POLICY, V85, P2487, DOI DOI 10.1007/S10603-009-9106-9 Nie C, 2011, APPETITE, V57, P28, DOI 10.1016/j.appet.2011.03.012 Niessen J., 2006, TIEFENANALYSE REALIS Padel S, 2005, BRIT FOOD J, V107, P606, DOI 10.1108/00070700510611002 Pape J, 2011, J CONSUM POLICY, V34, P25, DOI 10.1007/s10603-010-9151-4 Pedrini M, 2014, INT J CONSUM STUD, V38, P127, DOI 10.1111/ijcs.12074 Profeta A, 2012, FOOD QUAL PREFER, V26, P1, DOI 10.1016/j.foodqual.2012.03.001 Reinhardt G., 2009, OKOLOGISCHE OPTIMIER Reisch LA, 2011, INT J CONSUM STUD, V35, P3, DOI 10.1111/j.1470-6431.2010.00893.x Sabate J., 2001, Vegetarian nutrition, P3 Salazar HA, 2013, INT J CONSUM STUD, V37, P172, DOI 10.1111/j.1470-6431.2012.01110.x Sanne C, 2002, ECOL ECON, V42, P273, DOI 10.1016/S0921-8009(02)00086-1 Scarpa R, 2011, FOOD QUAL PREFER, V22, P532, DOI 10.1016/j.foodqual.2011.03.001 Schlich E, 2005, INT J LIFE CYCLE ASS, V10, P171, DOI 10.1065/lca2005.02.200 Schlich E, 2009, J VERBRAUCH LEBENSM, V4, P68, DOI 10.1007/s00003-008-0391-z Schneider F., 2009, UNTERSUCHUNG LEBENSM Schosler H, 2012, APPETITE, V58, P39, DOI 10.1016/j.appet.2011.09.009 Schultz I., 2003, ANAL QUALITATIVEN ST Sima A, 2012, ERNAHRUNGS UMSCHAU, V59, P524 Sonesson U, 2005, AMBIO, V34, P371, DOI 10.1639/0044-7447(2005)034[0371:HTAWER]2.0.CO;2 Steg L, 2014, J ENVIRON PSYCHOL, V38, P104, DOI 10.1016/j.jenvp.2014.01.002 Sule M, 2012, INT J CONSUM STUD, V36, P211, DOI 10.1111/j.1470-6431.2011.01085.x Sunderer G, 2012, INT J CONSUM STUD, V36, P244, DOI 10.1111/j.1470-6431.2011.01087.x Taylor JE, 2014, J CONSUM AFF, V48, P418, DOI 10.1111/joca.12025 Tobler C, 2011, APPETITE, V57, P674, DOI 10.1016/j.appet.2011.08.010 Tukker A, 2010, J IND ECOL, V14, P13, DOI 10.1111/j.1530-9290.2009.00208.x van Dam YK, 2011, J ECON PSYCHOL, V32, P726, DOI 10.1016/j.joep.2011.06.002 Verain MCD, 2012, INT J CONSUM STUD, V36, P123, DOI 10.1111/j.1470-6431.2011.01082.x Vinnari M, 2010, BRIT FOOD J, V112, P836, DOI 10.1108/00070701011067451 Wahlen S, 2012, J CONSUM POLICY, V35, P7, DOI 10.1007/s10603-011-9183-4 Zagata L, 2014, INT J CONSUM STUD, V38, P243, DOI 10.1111/ijcs.12098 Zander K, 2010, FOOD QUAL PREFER, V21, P495, DOI 10.1016/j.foodqual.2010.01.006 NR 75 TC 5 Z9 5 U1 1 U2 57 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1470-6423 EI 1470-6431 J9 INT J CONSUM STUD JI Int. J. Consum. Stud. PD MAR PY 2016 VL 40 IS 2 BP 158 EP 167 DI 10.1111/ijcs.12239 PG 10 WC Business SC Business & Economics GA DD9KN UT WOS:000370244200004 DA 2019-04-09 ER PT J AU Galdeano-Gomez, E Perez-Mesa, JC Godoy-Duran, A AF Galdeano-Gomez, Emilio Carlos Perez-Mesa, Juan Godoy-Duran, Angeles TI The social dimension as a driver of sustainable development: the case of family farms in southeast Spain SO SUSTAINABILITY SCIENCE LA English DT Article DE Sustainable development; Social dimension; Family farms; Socio-economic factors; Eco-social goals; Southeast Spain ID ALMERIA SPAIN; PERFORMANCE; HORTICULTURE; EXPERIENCE; PROVINCE; GOALS AB The social pillar has often been treated as an 'add on' in sustainable development studies, and analyses of its 'proactivity' in economic, environmental, and social transformations to sustainability outcomes are scant. The present paper looks at the social dimension as a key driver of sustainable development. Social factors in the farming system in southeast Spain are analyzed to show how family farms and their networks can integrate socio-economic and eco-social goals, promoting the generation of synergies and trade-offs between the dimensions of sustainability. This study contributes to existing debate on the role of family farms in the framework of European rural development. C1 [Galdeano-Gomez, Emilio; Carlos Perez-Mesa, Juan; Godoy-Duran, Angeles] Univ Almeria, Agrifood Campus Int Excellence ceiA3, Almeria, Spain. RP Galdeano-Gomez, E (reprint author), Univ Almeria, Agrifood Campus Int Excellence ceiA3, Almeria, Spain. EM galdeano@ual.es OI Perez Mesa, Juan Carlos/0000-0003-2382-3475 FU Spanish MCINN; FEDER aid [ECO2011-24930, ECO2014-52268]; Junta de Andalucia (Consejeria de Economia, Innovacion y Ciencia) [SEJ-5827] FX This research was partially funded by Spanish MCINN and FEDER aid (Projects ECO2011-24930 and ECO2014-52268) and by the Junta de Andalucia (Project SEJ-5827, Consejeria de Economia, Innovacion y Ciencia). CR Adger WN, 2000, PROG HUM GEOG, V24, P347, DOI 10.1191/030913200701540465 Aznar-Sanchez JA, 2011, J AGRAR CHANGE, V11, P241, DOI 10.1111/j.1471-0366.2011.00301.x Bacon CM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05226-170441 Baker S, 2007, ENVIRON POLIT, V16, P297, DOI 10.1080/09644010701211874 Bebbington J., 2009, UNDERSTANDING SOCIAL, P174 Bostrom M, 2012, INT J SUST DEV WORLD, V19, P3, DOI 10.1080/13504509.2011.582891 Bridger JC, 2001, SOCIOL INQ, V71, P458, DOI 10.1111/j.1475-682X.2001.tb01127.x Brouwer F, 2004, ADV ECOLOGICAL EC SE Cajamar, 2014, AN CAM HORT ALM CAMP Callejon-Ferre AJ, 2011, RENEW SUST ENERG REV, V15, P948, DOI 10.1016/j.rser.2010.11.012 Calus M, 2009, FACTORS EXPLAINING F Calus M, 2009, 111 EAAE SEM SMALL F Campra P, 2008, J GEOPHYS RES-ATMOS, V113, DOI 10.1029/2008JD009912 Cannon K, 2012, CAN REV SOC POLICY, V67 Cespedes Lopez A. J., 2009, CARACTERIZACION EXPL Chambers R, 1991, 296 IDS Commission European, 2001, FRAM IND EC SOC DIM Commission European, 2007, IMP CONTR AGR SECT S Commission for Social Development, 2013, 51 SESS 8 FEBR Cook M. L., 2006, Journal of Agricultural and Applied Economics, V38, P421 Cuthill M, 2010, SUSTAIN DEV, V18, P362, DOI 10.1002/sd.397 Dempsey N, 2011, SUSTAIN DEV, V19, P289, DOI 10.1002/sd.417 Dillar J, 2009, UNDERSTANDING SOCIAL Downward SR, 2007, J ENVIRON MANAGE, V82, P277, DOI 10.1016/j.jenvman.2005.12.015 Fernandez MD, 2007, AGR WATER MANAGE, V89, P251, DOI 10.1016/j.agwat.2007.02.001 Galdeano-Gomez E, 2010, CONTR INT WORKSH AGR Galdeano-Gomez E, 2013, INT J AGR SUSTAIN, V11, P125, DOI 10.1080/14735903.2012.704306 Galdeano-Gomez E, 2011, SOCIOL RURALIS, V51, P54, DOI 10.1111/j.1467-9523.2010.00524.x Galdeano-Gomez E, 2008, J ENVIRON MANAGE, V88, P1552, DOI 10.1016/j.jenvman.2007.07.028 Garcia Lorca A. M., 2010, COPING GLOBAL ENV CH, P921 Giagnocavo C, 2010, CONTRIBUTION FINANCI HLPE, 2013, INV SMALLH AGR FOOD Hull Z, 2008, SUSTAIN DEV, V16, P73, DOI 10.1002/sd.337 Ikerd J., 2013, PENNS FARM UN ANN CO Jordan JL, 2011, J AGR APPL EC, V42, P213 Kates RW, 2005, ENVIRONMENT, V47, P8 Latorre JG, 2001, LAND USE POLICY, V18, P53, DOI 10.1016/S0264-8377(00)00045-4 Lehtonen M, 2004, ECOL ECON, V49, P199, DOI 10.1016/j.ecolecon.2004.03.019 Littig Beate, 2005, International Journal of Sustainable Development, V8, P65, DOI 10.1504/IJSD.2005.007375 Lowe P, 2007, SUSTAIN DEV, V15, P307, DOI 10.1002/sd.348 Marehal JP, 2000, HUMANISER EC McKenzie S, 2004, U S AUSTR WORKING PA, V27 McLarty D, 2014, SUSTAIN SCI, V9, P277, DOI 10.1007/s11625-014-0248-6 Medina F, 2009, THESIS U POLITECNICA Missimer M, 2013, BLEKINGE I TECHNOLOG, P03 MURPHY K., 2012, SUSTAIN SCI PRACT PO, V8, P15, DOI [DOI 10.1080/15487733.2012.11908081, 10.1080/15487733.2012.11908081] ODPM, 2006, UK PRES EU MIN INF S OECD-Organisation for Economic Cooperation and Development, 2008, SUST DEV LINK EC SOC Passet R, 1996, EC VIVANT Peeters J, 2012, INT J SOC WELF, V21, P287, DOI 10.1111/j.1468-2397.2011.00856.x Perez-Alonso J, 2012, RENEW SUST ENERG REV, V16, P4675, DOI 10.1016/j.rser.2012.04.002 Perez-Mesa JC, 2010, AGR ECON-CZECH, V56, P478 Pretty J, 2008, PHILOS T R SOC B, V363, P447, DOI 10.1098/rstb.2007.2163 Pretty J, 2011, INT J AGR SUSTAIN, V9, P5, DOI 10.3763/ijas.2010.0583 Psarikidou K., 2012, Sustainability: Science, Practice & Policy, V8, P30 Quental N, 2011, SUSTAIN DEV, V19, P15, DOI 10.1002/sd.416 Roome N, 2008, 13 ANN C NETW INT BU Sachs I., 1999, SUSTAINABILITY SOCIA, P25 Sanchez-Picon A, 2011, J ARID ENVIRON, V75, P1360, DOI 10.1016/j.jaridenv.2010.12.014 Sen A., 1999, DEV FREEDOM SOTELO NAVALPOTRO J. A., 2011, HUELLA HIDRICA DESAR Terluin IJ, 2003, J RURAL STUD, V19, P327, DOI 10.1016/S0743-0167(02)00071-2 Thompson P. B., 2007, International Journal of Agricultural Sustainability, V5, P5 Tokar B, 2008, CAPITALISM NATURE SO, V19, P51, DOI [10.1080/10455750701859430, DOI 10.1080/10455750701859430] Tolon A., 2013, REV ELECT MEDIO AMBI, V14.1, P56, DOI DOI 10.5209/REV_MARE.2013.V14.N1.42123 TOUT D, 1990, GEOGR J, V156, P304, DOI 10.2307/635531 United Nations Research Institute for Social Development (UNRISD), 2011, GREEN EC SUST DEV BR World Bank, 2003, SUST DEV DYN WORLD T World Commission on Environment and Development (WCED), 1987, OUR COMM FUT Yin R. K., 2013, CASE STUDY RES DESIG Zikhali P, 2009, SUSTAIN DEV INNOV BR, V7, P05 NR 71 TC 16 Z9 16 U1 0 U2 20 PU SPRINGER JAPAN KK PI TOKYO PA CHIYODA FIRST BLDG EAST, 3-8-1 NISHI-KANDA, CHIYODA-KU, TOKYO, 101-0065, JAPAN SN 1862-4065 EI 1862-4057 J9 SUSTAIN SCI JI Sustain. Sci. PD MAR PY 2016 VL 11 IS 2 BP 349 EP 362 DI 10.1007/s11625-015-0318-4 PG 14 WC Green & Sustainable Science & Technology; Environmental Sciences SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DE1FK UT WOS:000370371900012 DA 2019-04-09 ER PT J AU Lerouge, F Sannen, K Gulinck, H Vranken, L AF Lerouge, Frederik Sannen, Kurt Gulinck, Hubert Vranken, Liesbet TI Revisiting production and ecosystem services on the farm scale for evaluating land use alternatives SO ENVIRONMENTAL SCIENCE & POLICY LA English DT Article DE Bioproductive land; Land management; Ecosystem services; Land sharing vs sparing; Multifunctional land use ID CHOICE EXPERIMENT; TRADE-OFFS; SPATIAL-DISTRIBUTION; FLANDERS; BIODIVERSITY; AGRICULTURE; LANDSCAPE; VALUATION; WILLINGNESS; FRAMEWORK AB Urbanization pressure increases the demand on remaining open spaces to deliver food and biomass, as well as other ecosystem services, but it is often paired with a reduced capacity to deliver these services. This calls for an integrated and innovative use of the remaining space. However, current spatial planning paradigms are not always adapted to face these new challenges. In many regions, an important aspect of spatial planning in relation to agriculture is still the pragmatic and monofunctional allocation of land use between vocal stakeholders. This is rarely paired with a regional view on the effective or desired quantity of services provided by this open space. Since land use policies increasingly need to strive for resilience on top of diversification of services, assessments of the servicing capacity and sustainability of land uses are needed. This paper presents a framework to assess all ecosystem services (i.e. marketable and non-marketable ES) delivered by conventional as well as innovative land uses. The framework is then used to assess land use strategies at the scale of an unconventional case farm in Flanders, Belgium. The analysis combines spatial and economic analysis of land use alternatives and illustrates some shortcomings of usual ecosystem valuation tools. Our findings illustrate that land use evaluation might be biased against unconventional land management alternatives. The proposed framework provides land planners with a way to assess and arbitrate between land sharing and land sparring options more accurately. The approach can help to optimize land use from the societal perspective, and allows for benchmarking farm level land use alternatives by comparing the services they deliver. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Lerouge, Frederik; Vranken, Liesbet] Katholieke Univ Leuven, Dept Earth & Environm Sci, Div Bioecon, Celestijnenlaan 200E, B-3001 Heverlee, Belgium. [Sannen, Kurt] Het Bolhuis, Asdonkstr 49, B-3294 Molenstede Diest, Belgium. [Gulinck, Hubert] Katholieke Univ Leuven, Dept Earth & Environm Sci, Div Forest Nat & Landscape, Celestijnenlaan 200E, B-3001 Heverlee, Belgium. RP Lerouge, F (reprint author), Katholieke Univ Leuven, Dept Earth & Environm Sci, Div Bioecon, Celestijnenlaan 200E, B-3001 Heverlee, Belgium. EM Frederik.lerouge@ees.kuleuven.be RI Vranken, Liesbet/Q-1710-2018 OI Vranken, Liesbet/0000-0003-1170-1139 FU Flemish Policy Research Centre on Space FX The presented research was funded by the Flemish Policy Research Centre on Space. The authors like to thank V. Dewaelheyns for inspiring discussions on the topic, and the reviewers for constructive comments on this manuscript. CR Aerodata International Surveys, 2007, AER IM AGIV, 2010, BIOL WAARD V2 AGIV, 2006, DIG BOD VLAAMS GEW Ahern J, 2014, LANDSCAPE URBAN PLAN, V125, P254, DOI 10.1016/j.landurbplan.2014.01.020 ANB, 2010, GROENK 2010 ANB, 2013, GROENK 2013 Balmford A, 2012, P ROY SOC B-BIOL SCI, V279, P2714, DOI 10.1098/rspb.2012.0515 Bateman IJ, 2009, J ENVIRON ECON MANAG, V58, P106, DOI 10.1016/j.jeem.2008.05.003 Bedoin F, 2013, LIVEST SCI, V158, P189, DOI 10.1016/j.livsci.2013.10.006 Bomans K, 2009, WIT TRANS ECOL ENVIR, V120, P317, DOI 10.2495/SDP090311 Bomans K, 2010, LANDSCAPE URBAN PLAN, V94, P196, DOI 10.1016/j.landurbplan.2009.10.004 Boody G, 2005, BIOSCIENCE, V55, P27, DOI 10.1641/0006-3568(2005)055[0027:MAITUS]2.0.CO;2 Broch SW, 2013, ECOL ECON, V92, P78, DOI 10.1016/j.ecolecon.2011.12.017 Broekx S., 2009, MILIEUKOSTENMODEL WA, P2009 Broekx S, 2013, ENVIRON IMPACT ASSES, V40, P65, DOI 10.1016/j.eiar.2013.01.003 Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019 Castro AJ, 2014, LANDSCAPE URBAN PLAN, V132, P102, DOI 10.1016/j.landurbplan.2014.08.009 Christensen T, 2011, ECOL ECON, V70, P1558, DOI 10.1016/j.ecolecon.2011.03.021 Cook EM, 2012, URBAN ECOSYST, V15, P19, DOI 10.1007/s11252-011-0197-0 Crossman ND, 2013, ECOSYST SERV, V4, P4, DOI 10.1016/j.ecoser.2013.02.001 Cunningham SA, 2013, AGR ECOSYST ENVIRON, V173, P20, DOI 10.1016/j.agee.2013.04.007 d'Arge R., 1997, NATURE Dale VH, 2007, ECOL ECON, V64, P286, DOI 10.1016/j.ecolecon.2007.05.009 Daniel FJ, 2008, NJAS-WAGEN J LIFE SC, V56, P7, DOI 10.1016/S1573-5214(08)80014-0 de Groot R, 2006, LANDSCAPE URBAN PLAN, V75, P175, DOI 10.1016/j.landurbplan.2005.02.016 De Nocker L., 2010, STUDIE UITGEVOERD OP De Valck J, 2014, LANDSCAPE URBAN PLAN, V125, P65, DOI 10.1016/j.landurbplan.2014.02.006 Dewaelheyns V, 2014, APPL GEOGR, V50, P132, DOI 10.1016/j.apgeog.2014.02.011 Domon G, 2011, LANDSCAPE URBAN PLAN, V100, P338, DOI 10.1016/j.landurbplan.2011.02.014 Estrada-Carmona N, 2014, LANDSCAPE URBAN PLAN, V129, P1, DOI 10.1016/j.landurbplan.2014.05.001 Firbank L, 2013, AGR ECOSYST ENVIRON, V166, P65, DOI 10.1016/j.agee.2011.11.014 Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772 Fraser MD, 2009, LIVEST SCI, V123, P70, DOI 10.1016/j.livsci.2008.10.008 Gavilan J., 2012, RENTABILITEITS KOSTP Ghaley B.B., 2013, ENVIRON SCI POLICY, P1 Gulinck H., 2013, LANDSCAPE IMAGINATIO Haines-Young R., 2014, OPENNESS ECOSYSTEM S Hauck J, 2013, ENVIRON SCI POLICY, V25, P13, DOI 10.1016/j.envsci.2012.08.001 Hoyos D, 2010, ECOL ECON, V69, P1595, DOI 10.1016/j.ecolecon.2010.04.011 INBO, 2010, HAB V5 2 Jackson B, 2013, LANDSCAPE URBAN PLAN, V112, P74, DOI 10.1016/j.landurbplan.2012.12.014 Jansen J.J., 1996, OPBRENGST TABELLEN B Kerselaers E, 2013, LAND USE POLICY, V32, P197, DOI 10.1016/j.landusepol.2012.10.016 Kleijn D, 2011, TRENDS ECOL EVOL, V26, P474, DOI 10.1016/j.tree.2011.05.009 Laterra P, 2012, AGR ECOSYST ENVIRON, V154, P56, DOI 10.1016/j.agee.2011.05.013 Leinfelder H, 2007, OPEN RUIMTE ALS PUBL Liekens I., 2013, WAARDERING ECOSYSTEE Liekens I, 2013, LAND USE POLICY, V30, P549, DOI 10.1016/j.landusepol.2012.04.008 Meersmans J, 2008, GEODERMA, V143, P1, DOI 10.1016/j.geoderma.2007.08.025 MEEUS B., 2013, GEEST SUBURBIA Meyfroidt P, 2013, CURR OPIN ENV SUST, V5, P438, DOI 10.1016/j.cosust.2013.04.003 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING BI Nassauer JI, 2012, LANDSCAPE URBAN PLAN, V106, P221, DOI 10.1016/j.landurbplan.2012.03.014 Oelmann Y, 2009, BIOL CONSERV, V142, P2941, DOI 10.1016/j.biocon.2009.07.021 Oosterbaan A., 2006, KLEINE LANDSCHAPSELE Pe'er G, 2014, SCIENCE, V344, P1090, DOI 10.1126/science.1253425 Pelve ME, 2012, LIVEST SCI, V144, P48, DOI 10.1016/j.livsci.2011.10.012 Pinto-Correia T, 2013, LANDSCAPE URBAN PLAN, V120, P248, DOI 10.1016/j.landurbplan.2013.07.005 Plieninger T, 2013, LAND USE POLICY, V33, P118, DOI 10.1016/j.landusepol.2012.12.013 Portman ME, 2013, APPL GEOGR, V45, P185, DOI 10.1016/j.apgeog.2013.09.011 Radford KG, 2013, LANDSCAPE URBAN PLAN, V109, P117, DOI 10.1016/j.landurbplan.2012.10.007 Raes W., 2011, EC RESULTATEN VLAAMS Ryffel AN, 2014, ECOSYST SERV, V10, P111, DOI 10.1016/j.ecoser.2014.09.008 Schaafsma M, 2014, RESOUR ENERGY ECON, V38, P243, DOI 10.1016/j.reseneeco.2014.09.001 Schagner JP, 2013, ECOSYST SERV, V4, P33, DOI 10.1016/j.ecoser.2013.02.003 Stevens CJ, 2011, ENVIRON POLLUT, V159, P2243, DOI 10.1016/j.envpol.2010.11.026 Swinton SM, 2007, ECOL ECON, V64, P245, DOI 10.1016/j.ecolecon.2007.09.020 Termorshuizen JW, 2009, LANDSCAPE ECOL, V24, P1037, DOI 10.1007/s10980-008-9314-8 Tscharntke T, 2012, BIOL CONSERV, V151, P53, DOI 10.1016/j.biocon.2012.01.068 Turner KG, 2014, LANDSCAPE URBAN PLAN, V125, P89, DOI 10.1016/j.landurbplan.2014.02.007 Van Broekhoven E., 2012, OVERZICHT BOEKHOUDKU van de Walle I., 2005, ANN FOR SCI, V62, P853 Vanloqueren G, 2008, ECOL ECON, V66, P436, DOI 10.1016/j.ecolecon.2007.10.007 Vanloqueren G, 2009, RES POLICY, V38, P971, DOI 10.1016/j.respol.2009.02.008 Verhoeve A, 2015, LAND USE POLICY, V42, P547, DOI 10.1016/j.landusepol.2014.09.008 von Haaren C, 2012, J ENVIRON MANAGE, V113, P40, DOI 10.1016/j.jenvman.2012.07.033 Vuylsteke A., 2014, SCHAALGROOTTEE SCHAA Wainger LA, 2010, ECOL ECON, V69, P978, DOI 10.1016/j.ecolecon.2009.12.011 Zasada I, 2011, LAND USE POLICY, V28, P639, DOI 10.1016/j.landusepol.2011.01.008 NR 79 TC 5 Z9 6 U1 6 U2 65 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1462-9011 EI 1873-6416 J9 ENVIRON SCI POLICY JI Environ. Sci. Policy PD MAR PY 2016 VL 57 BP 50 EP 59 DI 10.1016/j.envsci.2015.11.015 PG 10 WC Environmental Sciences SC Environmental Sciences & Ecology GA DD7GJ UT WOS:000370091400006 DA 2019-04-09 ER PT J AU Poletti, A Sicurelli, D AF Poletti, Arlo Sicurelli, Daniela TI The European Union, Preferential Trade Agreements, and the International Regulation of Sustainable Biofuels SO JCMS-JOURNAL OF COMMON MARKET STUDIES LA English DT Article DE European Union; environmental; regulation; sustainable biofuels; WTO ID NORMATIVE POWER; EU; WTO; POLITICS; LEADERSHIP AB The EU has increasingly turned to PTAs (Preferential Trade Agreements) to spread environmental norms internationally. We argue that the rationale for this strategy is to be found in the tensions between the rigidity of the domestic dynamics of positive integration in the EU and the increased bindingness of WTO negative integration commitments. Consensual decision-making procedures in the EU both drive the stringency of environmental regulation and make it resistant to change. When such environmental standards are challenged in the WTO, incentives arise for the EU to push for international environmental rules that can grant immunity from WTO legal challenges. When changing WTO rules is not an option, PTAs become a valid alternative. We illustrate the plausibility of our argument through an in-depth case study of the EU's attempt to include provisions defining environmental sustainability criteria for the production of biofuels in the ongoing negotiations for a PTA with Malaysia. C1 [Poletti, Arlo] LUISS Guido Carli, I-00197 Rome, Italy. [Sicurelli, Daniela] Univ Trent, I-38100 Trento, Italy. RP Poletti, A (reprint author), LUISS Guido Carli, Dept Polit Sci, Via Villa Emiliani 13, I-00197 Rome, Italy.; Poletti, A (reprint author), LUISS Guido Carli, Sch Govt, Via Villa Emiliani 13, I-00197 Rome, Italy. EM apoletti@luiss.it CR Afionis S, 2012, J CLEAN PROD, V32, P114, DOI 10.1016/j.jclepro.2012.03.034 Agritrade, 2010, EN SUBS CRIT OECD IN Alban M., 2007, BIOFUELS TRADE SUSTA Bartels L, 2013, LEG ISS ECON INTEGR, V40, P297 Bozzini E., 2012, SOCIOLOGICA, V2, P1 Commission of the European Communities, 2000, COM20001 COMM EUR CO COPA COGECA, 2007, REPL COPA COGECA DG COPA-COGECA, 2008, BI082062 COPACOGECA COPA-COGECA, 2012, COP COG POS EUS BIOF Daugbjerg C, 2015, J EUR PUBLIC POLICY, V22, P429, DOI 10.1080/13501763.2014.927520 De Bievre D., 2014, EU POLICIES GLOBAL P De Bievre D, 2006, J EUR PUBLIC POLICY, V13, P851, DOI 10.1080/13501760600837443 Delgado Rivera J., 2010, NEW EUROPE 0829 DeSombre Elizabeth R., 2000, DOMESTIC SOURCES INT Dur A, 2008, EUR UNION POLIT, V9, P559, DOI 10.1177/1465116508095151 Dur A, 2014, REV INT ORGAN, V9, P353, DOI 10.1007/s11558-013-9179-8 Dur A., 2006, EUROPEAN POLITICAL S, V5, P362 Duran G.M., 2012, ENV INTEGRATION EUS Eckstein Harry, 1975, HDB POLITICAL SCI Elsig M, 2012, JCMS-J COMMON MARK S, V50, P492, DOI 10.1111/j.1468-5965.2011.02243.x European Biodiesel Board, 2009, EEB POS REL BIOF IND European Commission, 2011, COMM SERV ANN MAL PO European Commission, 2014, CONS CETA TEXT European Environment Agency, 2006, MUCH BIOEN CAN EUR P European Landowners Association, 2007, POS PAP UNPUB Falkner R, 2007, J EUR PUBLIC POLICY, V14, P507, DOI 10.1080/13501760701314326 FOE, 2007, POS PAP UNPUB Genovesi P, 2011, CURR OPIN ENV SUST, V3, P66, DOI 10.1016/j.cosust.2010.12.001 George Alexander L., 2005, CASE STUDIES THEORY Hardacre A., 2010, RISE FALL INTERREGIO Josling T., 2010, BIOFUEL BIOMASS SUBS Kelemen D., 2010, J EUROPEAN PUBLIC PO, V17, P335, DOI DOI 10.1080/13501761003662065 Kelemen D R, 2010, COMP POLIT STUD, V43, P427, DOI DOI 10.1177/0010414009355265 Levy JS, 2008, CONFLICT MANAG PEACE, V25, P1, DOI 10.1080/07388940701860318 Lucarelli S, 2006, ROUTL ADV EUR POLIT, V37, P1 Malaysia, 2009, COMM IND LAND UNPUB Patterson LA, 1997, INT ORGAN, V51, P135, DOI 10.1162/002081897550320 Poletti A., 2012, EUROPEAN UNION MULTI Poletti A, 2014, J EUR PUBLIC POLICY, V21, P1181, DOI 10.1080/13501763.2014.897208 Poletti A, 2012, WEST EUR POLIT, V35, P911, DOI 10.1080/01402382.2012.682351 Pollack M, 2009, COOPERATION FAILS IN PUTNAM RD, 1988, INT ORGAN, V42, P427, DOI 10.1017/S0020818300027697 Renewable Energy Association, 2007, POS PAP UNPUB SCHARPF FW, 1988, PUBLIC ADMIN, V66, P239, DOI 10.1111/j.1467-9299.1988.tb00694.x Silles-Brugge G., 2011, NEW POLIT ECON, V16, P627 Swinbank A, 2009, J AGR ECON, V60, P485, DOI 10.1111/j.1477-9552.2009.00212.x The Netherlands, 2007, POS PAP UNPUB The Netherlands, 2009, DUTCH RESP PRE UNPUB UK Nature Conservation and Landscape Agencies, 2007, POS PAP UNPUB Vogel D., 2002, EUI RSCAS WORKING PA, P34 Vogel David, 1995, TRADING CONSUMER ENV Vogler J, 2007, INT ENVIRON AGREEM-P, V7, P389, DOI DOI 10.1007/S10784-007-9051-5 Woolcock S., 2010, 12010 ECIPE Young A., 2004, J COMMON MARKET STUD, V2, P393 Young AR, 2006, J EUR PUBLIC POLICY, V13, P795, DOI 10.1080/13501760600837104 Young AR, 2003, WORLD POLIT, V55, P457, DOI 10.1353/wp.2003.0026 Zangl B, 2008, INT STUD QUART, V52, P825, DOI 10.1111/j.1468-2478.2008.00528.x Zito Anthony R., 2005, GLOBALIZATIONS, V2, P363, DOI DOI 10.1080/14747730500377156 NR 58 TC 2 Z9 2 U1 1 U2 12 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0021-9886 EI 1468-5965 J9 JCMS-J COMMON MARK S JI JCMS-J. Common Mark. Stud. PD MAR PY 2016 VL 54 IS 2 BP 249 EP 266 DI 10.1111/jcms.12293 PG 18 WC Economics; International Relations; Political Science SC Business & Economics; International Relations; Government & Law GA DD5TN UT WOS:000369987400003 DA 2019-04-09 ER PT J AU Crona, BI Basurto, X Squires, D Gelcich, S Daw, TM Khan, A Havice, E Chomo, V Troell, M Buchary, EA Allison, EH AF Crona, Beatrice I. Basurto, Xavier Squires, Dale Gelcich, Stefan Daw, Tim M. Khan, Ahmed Havice, Elizabeth Chomo, Victoria Troell, Max Buchary, Eny A. Allison, Edward H. TI Towards a typology of interactions between small-scale fisheries and global seafood trade SO MARINE POLICY LA English DT Article DE Seafood; Trade; Typology; Dynamics; Small-scale fisheries; Interactions ID LAND-USE; FOOD SECURITY; FISH; RESOURCES; DYNAMICS; ACCESS; SUSTAINABILITY; DEFORESTATION; AQUACULTURE; PACIFIC AB Fish and fish-related products are among the most highly traded commodities globally and the proportion of globally harvested fish that is internationally traded has steadily risen over time. Views on the benefits of international seafood trade diverge, partly as a result from adopting either an aggregate national focus or a focus on local market actors. However, both views generally assume that the trade in question is characterized by export of fisheries resources to international markets. This is potentially misleading as empirical evidence suggests that import of seafood can also have impacts on local SSF dynamics. A systematic analysis of the different ways in which local production systems connect to international seafood markets can therefore help shed more light on why small-scale fisheries exhibit such differences in outcomes as they engage in an increasingly global seafood trade. This paper conducts a synthesis across 24 cases from around the world and develops a typology of small-scale fisheries and how they connect to and interact with international seafood trade. The analysis is based on key features drawn from trade theory regarding how trade interacts with local production. The implications of the findings for social and ecological sustainability of small-scale fisheries are discussed with the aim of identifying further research topics which deserve attention to better inform trade policy for more sustainable fisheries and more just wealth distribution from their trade. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Crona, Beatrice I.; Buchary, Eny A.] Royal Swedish Acad Sci, Global Econ Dynam & Biosphere, Box 50005, S-10405 Stockholm, Sweden. [Crona, Beatrice I.; Daw, Tim M.] Stockholm Univ, Stockholm Resilience Ctr, S-10691 Stockholm, Sweden. [Basurto, Xavier] Duke Univ, Nicholas Sch Environm, 135 Duke Marine Lab Rd, Beaufort, NC 28516 USA. [Squires, Dale] US NOAA Fisheries, Southwest Fisheries Sci Ctr, La Jolla, CA 92037 USA. [Gelcich, Stefan] Pontificia Univ Catolica Chile, Ctr Appl Ecol & Sustainabil CAPES, Alameda 340, Santiago, Chile. [Gelcich, Stefan] Pontificia Univ Catolica Chile, Dept Ecol, Ctr Conservac Marina, Alameda 340, Santiago, Chile. [Khan, Ahmed] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, UNEP IEMP, Beijing, Peoples R China. [Havice, Elizabeth] Univ N Carolina, Dept Geog, Saunders Hall,CB 3220, Chapel Hill, NC 27510 USA. [Chomo, Victoria] FAO, Dept Fisheries & Aquaculture, Viale Terme Caracalla, I-00153 Rome, Italy. [Troell, Max] Royal Swedish Acad Sci, Beijer Inst Ecol Econ, Box 50005, S-10405 Stockholm, Sweden. [Allison, Edward H.] Univ Washington, Coll Environm, 1492 NE Boat St, Seattle, WA 98105 USA. RP Crona, BI (reprint author), Royal Swedish Acad Sci, Global Econ Dynam & Biosphere, Box 50005, S-10405 Stockholm, Sweden. EM beatrice.crona@kva.se OI Allison, Edward/0000-0003-4663-1396; Buchary, Eny/0000-0003-0518-0410; Troell, Max/0000-0002-7509-8140; Daw, Tim/0000-0001-6635-9153; Crona, Beatrice/0000-0003-1617-4067; Havice, Elizabeth/0000-0003-0760-2082 FU MISTRA; Erling-Persson Foundation; Global Environmental Dynamics; Biosphere program at the Royal Swedish Academy of Science; David and Lucile Packard Foundation; Conicyt FB; Milenio Initiative NC [120086]; Young International Scientist Fellowship under UNEP-IEMP [2012 YlZA0010] FX Funding for this paper was provided through a core grant by MISTRA to the Stockholm Resilience Center. The lead author (and EAB) were also funded by the Erling-Persson Foundation, through the Global Environmental Dynamics and the Biosphere program at the Royal Swedish Academy of Science. Input by remaining authors were supported by David and Lucile Packard Foundation (XB), Conicyt FB 0002 and Milenio Initiative NC 120086 (SG), and the Young International Scientist Fellowship Grant no. 2012 YlZA0010 under UNEP-IEMP (AK). Any opinions, findings or recommendations expressed in this material are those of the author (s) and do not necessarily reflect the views of U.S. NOAA Fisheries or the other funding agencies. Finally, thank you to Mark Sanctuary for pointing us in the direction of relevant aspects of trade theory during early stages of this work. CR Abila R, 2003, FISH TRADE FOOD SECU Abila R. O., 1997, SOCIOECONOMICS LAKE Anderson J.L., 2010, HDB MARINE FISHERIES Asiedu E., 2004, DEV POLICY REV, V22, P371, DOI DOI 10.1111/J.1467-7679.2004.00255.X Bell JD, 2009, MAR POLICY, V33, P64, DOI 10.1016/j.marpol.2008.04.002 Bene C, 2010, WORLD DEV, V38, P933, DOI 10.1016/j.worlddev.2009.12.010 Bostock T., 2004, POLICY RES IMPLICATI Brander JA, 1997, CAN J ECON, V30, P526, DOI 10.2307/136232 Campling L., 2013, FFA TRADE IND NEWS, P6 Campling L., 2014, FFA TRADE IND NEWS, P7 Cao L, 2015, SCIENCE, V347, P133, DOI 10.1126/science.1260149 CEMARE, 2001, MAN CONFL TROP FISH Ciuriak D., 2011, FIRMS INT TRADE NEW Copeland BR, 2009, AM ECON REV, V99, P725, DOI 10.1257/aer.99.3.725 Crona BI, 2015, GLOBAL ENVIRON CHANG, V35, P162, DOI 10.1016/j.gloenvcha.2015.07.006 Crona B, 2010, MAR POLICY, V34, P761, DOI 10.1016/j.marpol.2010.01.023 Daw TM, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0031460 de Schutter O., 2012, 67 SESS UN GEN ASS Deutsch L., 2011, ECOSYSTEM SERVICES G DRAGUN AK, 1999, SUSTAINABLE AGR ENV Dyck Andrew J., 2010, Journal of Bioeconomics, V12, P227, DOI 10.1007/s10818-010-9088-3 Eriksson H, 2015, FRONT ECOL ENVIRON, V13, P435, DOI 10.1890/140312 FAO, 2005, SMALL SCAL ART FISH FAO, 2014, STAT WORLD FISH AQ FAO, 2010, STAT WORLD FISH AQ Felixson T., 1987, J AGR RESOUR EC, V16, P2014 Foley P, 2014, ECOL SOC, V19, DOI 10.5751/ES-06459-190228 Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2 Gelcich S, 2010, P NATL ACAD SCI USA, V107, P16794, DOI 10.1073/pnas.1012021107 Ghironi F., 2004, INT TRADE MACROECONO, P2014 Ghironi F, 2007, AM ECON REV, V97, P356, DOI 10.1257/aer.97.2.356 Gordon A, 2013, FISH PRODUCTION CONS Hannesson R., 2001, EFFECTS LIBERALIZING Havice E, 2012, J AGRAR CHANGE, V12, P413, DOI 10.1111/j.1471-0366.2011.00351.x Helpman E., 2011, UNDERSTANDING GLOBAL HLPE, 2014, SUST FISH AQ FOOD SE Jonell M, 2013, AMBIO, V42, P659, DOI 10.1007/s13280-013-0409-3 Kaczynski VM, 2002, MAR POLICY, V26, P75, DOI 10.1016/S0308-597X(01)00039-2 Kaye M., 2014, BOOM MOSTLY BUST F 2 KRUGMAN P, 1980, AM ECON REV, V70, P950 Kurien J, 2005, RESPONSIBLE FISH TRA Lambin EF, 2003, ANNU REV ENV RESOUR, V28, P205, DOI 10.1146/annurev.energy.28.050302.105459 Lem A, 2014, VALUE CHAIN DYNAMICS Liu J., 2015, SCIENCE Liu JG, 2013, ECOL SOC, V18, DOI 10.5751/ES-05873-180226 Mansfield B, 2004, ANN ASSOC AM GEOGR, V94, P565, DOI 10.1111/j.1467-8306.2004.00414.x Marks B, 2012, J AGRAR CHANGE, V12, P227, DOI 10.1111/j.1471-0366.2011.00353.x Melitz M. J., 2012, HETEROGENEOUS FIRMS, P2014 Melitz MJ, 2003, ECONOMETRICA, V71, P1695, DOI 10.1111/1468-0262.00467 Meyfroidt P, 2010, P NATL ACAD SCI USA, V107, P20917, DOI 10.1073/pnas.1014773107 Micheli F, 2014, FRONT ECOL ENVIRON, V12, P297, DOI 10.1890/110257 Naamin N., 1996, STATUS INTERACTIONS Naylor R., 2007, GLOBALIZATION EFFECT Naylor RL, 2000, NATURE, V405, P1017, DOI 10.1038/35016500 Nunoo FKE, 2009, FISH RES, V96, P167, DOI 10.1016/j.fishres.2008.10.010 OECD, 2010, GLOB FISH AQ OPP CHA Oosthuizen A, 2007, AFR J MAR SCI, V29, P393, DOI 10.2989/AJMS.2007.29.3.7.337 Pauly D, 2005, PHILOS T ROY SOC B, V360, P5, DOI 10.1098/rstb.2004.1574 Platteau J M, 1985, TECHNOLOGY CREDIT IN Platteau J. P., 1989, DEV CHANGE, V20, P565 PLATTEAU JP, 1987, J DEV STUD, V23, P461, DOI 10.1080/00220388708422044 Ponte S, 2007, DEV POLICY REV, V25, P113, DOI 10.1111/j.1467-7679.2007.00362.x Ricardo D., 1971, PRINCIPLES POLITICAL Rodik D., 2011, GLOBALIZATION PARADO Rodrigue J, 2014, J INT ECON, V93, P316, DOI 10.1016/j.jinteco.2014.03.004 Roheim C. A., 2006, TRADE MARKETPLACE ME Sadovy Y. J., 2003, WHILE STOCKS LAST LI Scheve KF, 2001, J INT ECON, V54, P267, DOI 10.1016/S0022-1996(00)00094-5 Schmitz C, 2012, GLOBAL ENVIRON CHANG, V22, P189, DOI 10.1016/j.gloenvcha.2011.09.013 Smith MD, 2010, SCIENCE, V327, P784, DOI 10.1126/science.1185345 Steneck RS, 2011, CONSERV BIOL, V25, P904, DOI 10.1111/j.1523-1739.2011.01717.x Sumaila U.R., 2014, FISHING FUTURE TREND Sumaila UR, 2007, NATURE, V450, P945, DOI 10.1038/450945a Sumaila UR, 2007, FISH RES, V88, P1, DOI 10.1016/j.fishres.2007.08.017 Thorburn CC, 2001, DEV CHANGE, V32, P151, DOI 10.1111/1467-7660.00200 Tveteras S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0036731 UNEP, 2002, INT ASS TRAD LIB TRA Virdin J., 2004, SAVING FISH FISHERIE NR 78 TC 13 Z9 13 U1 5 U2 43 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0308-597X EI 1872-9460 J9 MAR POLICY JI Mar. Pol. PD MAR PY 2016 VL 65 BP 1 EP 10 DI 10.1016/j.marpol.2015.11.016 PG 10 WC Environmental Studies; International Relations SC Environmental Sciences & Ecology; International Relations GA DD7IF UT WOS:000370096200001 OA Green Published DA 2019-04-09 ER PT J AU Li, QF Nie, Y Vallamsundar, S Lin, J Homem-de-Mello, T AF Li, Qianfei Nie, Yu (Marco) Vallamsundar, Suriya Lin, Jane Homem-de-Mello, Tito TI Finding Efficient and Environmentally Friendly Paths for Risk-Averse Freight Carriers SO NETWORKS & SPATIAL ECONOMICS LA English DT Article DE Reliability; Risk-averse; Greenhouse gas emissions; Stochastic dominance; MOVES ID STOCHASTIC-DOMINANCE; ROUTE CHOICE; VEHICLE; UTILITY; MODEL AB This paper aims to incorporate two important measures into a freight shortest path problem, namely reliability and sustainability. Reliability measure deals with the uncertainty of link travel time while sustainability measure tends to reduce the fuel consumption and emission along the path. Greenhouse gas (GHG) emission rates are generated from Motor Vehicle Emission Simulator (MOVES) model and approximated as a function of the average link travel speed. To model uncertainty, the link travel speed is treated as a discrete random variable with a given distribution. Freight carriers are assumed to be risk-averse; for example, given two paths with the same average cost, carriers prefer the one with less variability. The risk-averse behavior is captured by the second order stochastic dominance (SSD) relationship. Specifically, SSD constraints are introduced in our model to narrow down the feasible paths which dominate a chosen benchmark path. The reliable and sustainable routing model is formulated as an integer program that can be easily tailored to a variety of modeling preferences. The study experiments with eight variants of the base model, each corresponding to a different trade-off strategy between three objectives, namely, efficiency, reliability and sustainability. The numerical experiments illustrate the benefits of the models discussed in the paper. C1 [Li, Qianfei; Nie, Yu (Marco)] Northwestern Univ, Dept Civil & Environm Engn, Evanston, IL USA. [Vallamsundar, Suriya; Lin, Jane] Univ Illinois, Dept Civil & Mat Engn, Chicago, IL USA. [Homem-de-Mello, Tito] Univ Adolfo Ibanez, Sch Business, Santiago, Chile. RP Nie, Y (reprint author), Northwestern Univ, Dept Civil & Environm Engn, Evanston, IL USA. EM y-nie@northwestern.edu RI Nie, Yu/B-7083-2009; Lin, Jane/T-3569-2018; Nie, Yu/J-6620-2014 OI Lin, Jane/0000-0001-9861-1974; Nie, Yu/0000-0003-2083-470X; Homem-de-Mello, Tito/0000-0002-2044-3306 FU National Science Foundation [CMMI-0928577]; National Center for Freight and Infrastructure Research and Eduction FX This research was partially supported by National Science Foundation under the Award number CMMI-0928577 and National Center for Freight and Infrastructure Research and Eduction. CR Ahn KG, 2008, TRANSPORT RES D-TR E, V13, P151, DOI 10.1016/j.trd.2008.01.005 Ando N, 2006, NETW SPAT ECON, V6, P293, DOI 10.1007/s11067-006-9285-8 Arrow K., 1965, ASPECTS THEORY RISK Barth M., 1996, TRANSPORT RES REC, V1520, P81, DOI DOI 10.3141/1520-10 Bektas T, 2011, TRANSPORT RES B-METH, V45, P1232, DOI 10.1016/j.trb.2011.02.004 Chen AT, 2011, INT J SUSTAIN TRANSP, V5, P172, DOI 10.1080/15568318.2010.488277 Chen BY, 2012, NEUR NETW IJCNN 2012, P1 Davies J, 2007, INT EM INV C Dentcheva D, 2003, SIAM J OPTIMIZ, V14, P548, DOI 10.1037/S1052623402420528 DIAL RB, 1979, TRANSPORT RES B-METH, V13, P311, DOI 10.1016/0191-2615(79)90024-9 EPA U, 2002, TECHNICAL REPORT EPA U, 2012, TECHNICAL REPORT Erdogan S, 2012, TRANSPORT RES E-LOG, V48, P100, DOI 10.1016/j.tre.2011.08.001 Fan YY, 2006, NETW SPAT ECON, V6, P333, DOI 10.1007/s11067-006-9287-6 FHWA, 2005, TECHNICAL REPORT Figliozzi M., 2010, 89 ANN M TRANSP RES Friedman M, 1948, J POLIT ECON, V56, P279, DOI 10.1086/256692 HADAR J, 1971, J ECON THEORY, V3, P288, DOI 10.1016/0022-0531(71)90024-X HANOCH G, 1969, REV ECON STUD, V36, P335, DOI 10.2307/2296431 Koupal J, 2002, TECHNICAL REPORT LEVY H, 1992, MANAGE SCI, V38, P555, DOI 10.1287/mnsc.38.4.555 Li ZC, 2013, NETW SPAT ECON, P1 Lin DY, 2011, NETW SPAT ECON, V11, P727, DOI 10.1007/s11067-010-9146-3 Maden W, 2010, J OPER RES SOC, V61, P515, DOI 10.1057/jors.2009.116 Muller A., 2002, COMP METHODS STOCHAS Nagel K, 2013, NETW SPAT ECON, P1, DOI DOI 10.1007/S11067-013-9204-8 Nagurney A, 2000, TRANSPORT RES D-TR E, V5, P145, DOI 10.1016/S1361-9209(99)00031-0 Nie Y, 2011, NETWORKS SP IN PRESS, DOI 10.1007/s11067-011-9167-6 Nie Y, 2012, TRANSPORT RES A-POL, V46, P403, DOI 10.1016/j.tra.2011.10.008 Penic M, 1992, TRANSPORTATION RES R, V1360 Rakha H, 2004, TRANSPORT RES D-TR E, V9, P49, DOI 10.1016/S1361-9209(03)00054-3 Rilett L. R., 1994, TRANSPORT RES REC, P92 ROTHSCHILD M, 1970, J ECON THEORY, V2, P225, DOI 10.1016/0022-0531(70)90038-4 Sugawara S, 2002, TRANSPORT RES REC, P29, DOI 10.3141/1815-04 TZENG GH, 1993, IEEE T ENG MANAGE, V40, P180, DOI 10.1109/17.277411 WHITMORE GA, 1970, AM ECON REV, V60, P457 Winkelman S, 2009, COST EFFECTIVE GHG R Wu X, 2011, TRANSPORT RES A-POL, V45, P896, DOI 10.1016/j.tra.2011.04.009 Yang Y, 2013, J ADV TRANSP Yin YF, 2006, TRANSPORT RES D-TR E, V11, P292, DOI 10.1016/j.trd.2006.05.003 NR 40 TC 8 Z9 8 U1 0 U2 0 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 1566-113X EI 1572-9427 J9 NETW SPAT ECON JI Netw Spat. Econ. PD MAR PY 2016 VL 16 IS 1 BP 255 EP 275 DI 10.1007/s11067-013-9220-8 PG 21 WC Operations Research & Management Science; Transportation Science & Technology SC Operations Research & Management Science; Transportation GA DI6RM UT WOS:000373627700012 DA 2019-04-09 ER PT J AU Scharber, H Dancs, A AF Scharber, Helen Dancs, Anita TI Do locavores have a dilemma? Economic discourse and the local food critique SO AGRICULTURE AND HUMAN VALUES LA English DT Article DE Local food; Sustainability; Locavores; Economic critique; Local economy; Food security ID JUSTICE; FRAMEWORK; MOVEMENTS; SYSTEMS; SCALE; MILES AB Local food critics have recently argued that locavores, unaware of economic laws and principles, are ironically promoting a future characterized by less food security and more environmental destruction. In this paper, we critically examine the ways in which mainstream economics discourse is employed in arguments to undermine the proclaimed benefits of local food. We focus on several core concepts in economics-comparative advantage, scale, trade and efficiency-and show how they have been used to challenge claims about local food's benefits in the areas of economy, environment, food security, and food quality. After reviewing the arguments, we then evaluate some shortcomings that emerge from this reliance on economic logic and, importantly, we assess what local food proponents may take away from these critiques. We conclude by identifying several pathways for future research. C1 [Scharber, Helen] Hampshire Coll, Econ, 893 West St, Amherst, MA 01002 USA. [Dancs, Anita] Western New England Univ, Econ, 1215 Wilbraham Rd, Springfield, MA 01119 USA. RP Dancs, A (reprint author), Western New England Univ, Econ, 1215 Wilbraham Rd, Springfield, MA 01119 USA. EM hscharber@hampshire.edu; adancs@wne.edu CR Alkon AH, 2009, SOCIOL INQ, V79, P289, DOI 10.1111/j.1475-682X.2009.00291.x Allen P, 2010, CAMB J REG ECON SOC, V3, P295, DOI 10.1093/cjres/rsq015 Ballingall J, 2010, WORLD ECON, V33, P1201, DOI 10.1111/j.1467-9701.2010.01270.x Barrett CB, 2010, WORLD DEV, V38, P88, DOI 10.1016/j.worlddev.2009.06.002 Bloom JD, 2011, RENEW AGR FOOD SYST, V26, P13, DOI 10.1017/S1742170510000384 Born B, 2006, J PLAN EDUC RES, V26, P195, DOI 10.1177/0739456X06291389 Bosshardt W, 2013, AM ECON REV, V103, P643, DOI 10.1257/aer.103.3.643 Boyce J. K., 2002, POLITICAL EC ENV Boyce JK, 2013, ECONOMICS, THE ENVIRONMENT AND OUR COMMON WEALTH, P1 Budiansky S., 2010, NY TIMES Bullard R. D., 1990, DUMPING DIXIE RACE C Carden A., 2008, SHOULD WE BUY ONLY L Carpio CE, 2009, AGRIBUSINESS, V25, P412, DOI 10.1002/agr.20210 Coleman-Jensen A., 2013, 155 USDA EC RES SERV Coley D, 2009, FOOD POLICY, V34, P150, DOI 10.1016/j.foodpol.2008.11.001 Constance DH, 2009, AGR HUM VALUES, V26, P3, DOI 10.1007/s10460-008-9187-0 Costinot A, 2012, AM ECON REV, V102, P453, DOI 10.1257/aer.102.3.453 Cowen T., 2012, EC GETS LUNCH NEW RU DeLind LB, 2011, AGR HUM VALUES, V28, P273, DOI 10.1007/s10460-010-9263-0 Desrochers P., 2012, LOCAVORES DILEMMA PR Donahue B., 2013, NEW ENGLAND FOOD VIS ECONorthwest, 2010, EC IND AGR FUT SKAG Edwards-Jones G, 2008, TRENDS FOOD SCI TECH, V19, P265, DOI 10.1016/j.tifs.2008.01.008 Ekins P, 2003, ECOL ECON, V44, P165, DOI 10.1016/S0921-8009(02)00272-0 Frank A. G., 1967, CAPITALISM UNDERDEVE Glaeser E., 2011, BOSTON GLOBE Global Food Markets Group, 2010, 2007 08 AGR PRIC SPI Gottlieb R., 2010, FOOD JUSTICE Guthman J, 2008, CULT GEOGR, V15, P431, DOI 10.1177/1474474008094315 Heckscher E., 1919, EKONOMISK TIDSKRIFT Hewitt B., 2010, TOWN FOOD SAVED ONE Hinrichs CC, 2003, J RURAL STUD, V19, P33, DOI 10.1016/S0743-0167(02)00040-2 HOWEY RS, 1972, HIST POLIT ECON, V4, P281, DOI 10.1215/00182702-4-2-281 King R. P., 2010, 99 USDA EC RES SERV Klavinski R., 2013, 7 BENEFITS EATING LO Kneen B., 1993, LAND MOUTH UNDERSTAN KRUGMAN P, 1980, AM ECON REV, V70, P950 Landsburg S., 2010, BIG QUESTIONS 0823 Levkoe CZ, 2006, AGR HUM VALUES, V23, P89, DOI 10.1007/s10460-005-5871-5 Lowry D., 2010, SAINT LOUIS MAG 0920 Lusk JL., 2013, FOOD POLICE WELL FED MacDonald J. M., 2013, 152 USDA EC RES SERV Mankiw N. Gregory, 2014, PRINCIPLES EC Martinez-Alier J, 1998, ECOL ECON, V26, P277, DOI 10.1016/S0921-8009(97)00120-1 McConnell C., 2014, EC PRINCIPLES PROBLE McWilliams J. E, 2009, JUST FOOD LOCAVORES Mohai P, 2009, ANNU REV ENV RESOUR, V34, P405, DOI 10.1146/annurev.environ.082508-094348 Ohlin B. G., 1933, INTERREGIONAL INT TR Paarlberg R., 2013, FOOD POLITICS WHAT E Paarlberg R., 2010, FOREIGN POLICY Pirog R., 2003, CHECKING FOOD ODOMET Prebisch Raul, 1950, EC DEV LATIN AM ITS Pretty JN, 2000, AGR SYST, V65, P113, DOI 10.1016/S0308-521X(00)00031-7 Princen T, 1997, ECOL ECON, V20, P235, DOI 10.1016/S0921-8009(96)00085-7 Ricardo David, 1973, PRINCIPLES POLITICAL Roberts P, 2009, MOTHER JONES Rushing J, 2013, BUYING LOCAL FOOD MO Samuelson Paul A., 1969, INT EC RELATIONS, P1 Sexton S, 2009, ARE UPDATES, V13, P5 Sexton S., 2011, FREAKONOMICS Shrader-Frechette K, 2002, ENV JUSTICE CREATING SIEGFRIED JJ, 1991, AM ECON REV, V81, P20 Smith A., 2005, ED50254 UK DEP ENV F Smith A., 1982, WEALTH NATIONS Tegtmeier E. M., 2004, International Journal of Agricultural Sustainability, V2, P1 Thompson PB, 2010, CULT LAND, P1, DOI 10.5810/kentucky/9780813125879.001.0001 University of California Davis (UCD), 2013, COMM FOOD SYST BIBL Wallerstein I, 2011, MOD WORLD SYST, V1, P1 Weber CL, 2008, ENVIRON SCI TECHNOL, V42, P3508, DOI 10.1021/es702969f Werkheiser I, 2014, J AGR ENVIRON ETHIC, V27, P201, DOI 10.1007/s10806-013-9459-6 NR 70 TC 4 Z9 4 U1 2 U2 29 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0889-048X EI 1572-8366 J9 AGR HUM VALUES JI Agric. Human Values PD MAR PY 2016 VL 33 IS 1 BP 121 EP 133 DI 10.1007/s10460-015-9598-7 PG 13 WC Agriculture, Multidisciplinary; History & Philosophy Of Science; Sociology SC Agriculture; History & Philosophy of Science; Sociology GA DB6NZ UT WOS:000368633000009 DA 2019-04-09 ER PT J AU Geysmans, R Hustinx, L AF Geysmans, Robbe Hustinx, Lesley TI Placing the distant other on the shelf: An analysis and comparison of (fair trade) coffee packages in relation to commodity fetishism SO SOCIOLOGICAL RESEARCH ONLINE LA English DT Article DE Fair Trade; Commodity Fetishism; Mainstreaming; Marketing; Ethical Consumption ID MARKET; SUSTAINABILITY; CERTIFICATION; PERSPECTIVE; CONSUMPTION; ENVIRONMENT; QUALITY; ETHICS AB Fair trade has been praised for 'de-fetishizing' commodities by providing consumers with information on the production of the commodity. Various empirical studies of fair trade marketing materials have generated critique of this vision. However, these focused on materials produced by engaged fair trade organizations. As the fair trade concept has entered the mainstream, fair trade products have found their way into supermarkets. In this setting, these products are confronted with competition, both internal (with other fair trade products) and external (with non-fair trade products). In this article, we argue for a broader focus when studying the relationship between fair trade and defetishization. Our argument is based on a study of whether and how defetishization is advanced on packages of ground coffee within the retail landscape of Flanders, Belgium. Several categories of packages can be distinguished, based on brand (e.g., fair trade advocate, regular brand, retailer house brand) and label (e.g. fair trade label; other social label; no label, but origin is emphasized in the product name). We demonstrate the difficulty of distinguishing these packages based on the visual and textual information they carry (beyond the label), which complicates the identification of any clearly distinct 'fair trade message' on these packages. Instead of serving a clear 'defetishizing' function, these messages are mixed, interchanged, and adapted. We argue that this could be a direct consequence of perceived or actual changes in the consumer publics inherent to the mainstreaming of fair trade. C1 [Geysmans, Robbe; Hustinx, Lesley] Univ Ghent, Ghent, Belgium. RP Geysmans, R (reprint author), Univ Ghent, Ghent, Belgium. OI Hustinx, Lesley/0000-0003-1888-7300 FU Research Foundation - Flanders [G096712N] FX This research was supported by research grant G096712N of the Research Foundation - Flanders to Lesley Hustinx. The authors wish to thank the two anonymous reviewers for their constructive and helpful comments. CR Alexander A, 2006, EUR J MARKETING, V40, P1236, DOI 10.1108/03090560610702795 Allen P., 2000, AGR HUM VALUES, V17, P221, DOI DOI 10.1023/A:1007640506965 Arnold N, 2015, SOCIOL RES ONLINE, V20, DOI 10.5153/sro.3734 Barrey S, 2000, SOCIOL TRAV, V42, P457, DOI 10.1016/S0038-0296(00)01089-X Bryant RL, 2004, T I BRIT GEOGR, V29, P344, DOI 10.1111/j.0020-2754.2004.00333.x Campbell D., 2011, PICTURING ATROCITY R Carrier JG, 2010, ANTIPODE, V42, P672, DOI 10.1111/j.1467-8330.2010.00768.x Cochoy F, 2007, SOCIOL REV MONOGR, P109 Cook I, 1996, J MAT CULT, V1, P131, DOI 10.1177/135918359600100201 Crang M., 1998, CULTURAL GEOGRAPHY de Ferran F, 2007, FOOD QUAL PREFER, V18, P218, DOI 10.1016/j.foodqual.2005.11.001 De Pelsmacker P, 2005, J CONSUM AFF, V39, P363, DOI 10.1111/j.1745-6606.2005.00019.x Dean J, 2015, SOCIOLOGICAL RES ONL, V20, P1, DOI DOI 10.5153/SR0.3540] Doherty B, 2013, BUS HIST, V55, P161, DOI 10.1080/00076791.2012.692083 Fairtrade International, 2014, STRONG PROD STRONG F Fridell G, 2007, HIST MATER, V15, P79, DOI 10.1163/156920607X245841 GEYSMANS R., SOCIAL ENTE IN PRESS Goffman E., 1974, FRAME ANAL ESSAY ORG Goodman MK, 2010, GEOFORUM, V41, P104, DOI 10.1016/j.geoforum.2009.08.003 Goodman MK, 2004, POLIT GEOGR, V23, P891, DOI 10.1016/j.polgeo.2004.05.013 HARVEY D, 1990, ANN ASSOC AM GEOGR, V80, P418, DOI 10.1111/j.1467-8306.1990.tb00305.x Hudson I, 2003, ORGAN ENVIRON, V16, P413, DOI 10.1177/1086026603258926 HUDSON I., 2013, INT POLIT ECON SER, DOI 10.1057/9781137269850 Jackson P, 1999, T I BRIT GEOGR, V24, P95, DOI 10.1111/j.0020-2754.1999.00095.x Johnston J, 2009, ANTIPODE, V41, P509, DOI 10.1111/j.1467-8330.2009.00685.x Low W, 2005, INT MARKET REV, V22, P494, DOI 10.1108/02651330510624354 Low W, 2005, SUSTAIN DEV, V13, P143, DOI 10.1002/sd.275 Lyon S., 2006, International Journal of Consumer Studies, V30, P452, DOI 10.1111/j.1470-6431.2006.00530.x MARX K., 1976, CAPITAL CRITIQUE P 1 Moore G, 2004, J BUS ETHICS, V53, P73, DOI 10.1023/B:BUSI.0000039400.57827.c3 O'BOYLE N., 2009, SOCIOLOGICAL RES ONL, V14 Raynolds L. T., 2004, Journal of International Development, V16, P1109, DOI 10.1002/jid.1136 Raynolds LT, 2007, AGR HUM VALUES, V24, P147, DOI 10.1007/s10460-006-9047-8 Raynolds LT, 2009, WORLD DEV, V37, P1083, DOI 10.1016/j.worlddev.2008.10.001 Reed D, 2009, J BUS ETHICS, V86, P3, DOI 10.1007/s10551-008-9757-5 Rein M., 1993, ARGUMENTATIVE TURN P, P145, DOI DOI 10.1215/9780822381815 Reinecke J, 2012, ORGAN STUD, V33, P791, DOI 10.1177/0170840612443629 Renard MC, 2003, J RURAL STUD, V19, P87, DOI 10.1016/S0743-0167(02)00051-7 Renard MC, 2005, J RURAL STUD, V21, P419, DOI 10.1016/j.jrurstud.2005.09.002 Urry J, 2000, SOCIOLOGY SOC MOBILI Urry J., 2007, MOBILITIES Valentine G., 1997, CONSUMING GEOGRAPHIE Varul MZ, 2008, CULT STUD, V22, P654, DOI 10.1080/09502380802245910 Watson M, 2006, GLOB SOC, V20, P435, DOI 10.1080/13600820600929788 WEBB J, 2007, SOCIOLOGICAL RES ONL, V12 Whatmore S., 1997, Globalising food: agrarian questions and global restructuring., P287 Wright C., 2004, Journal of International Development, V16, P665, DOI 10.1002/jid.1119 Wright C., 2009, GLOBALIZATION FOOD NR 48 TC 0 Z9 0 U1 2 U2 10 PU SAGE PUBLICATIONS LTD PI LONDON PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND SN 1360-7804 J9 SOCIOL RES ONLINE JI Sociol. Res. Online PD FEB 29 PY 2016 VL 21 IS 1 AR 6 DI 10.5153/sro.3854 PG 15 WC Sociology SC Sociology GA EE6LA UT WOS:000389721000006 DA 2019-04-09 ER PT J AU Gao, W Hong, BG Swaney, DP Howarth, RW Guo, HC AF Gao, Wei Hong, Bongghi Swaney, Dennis P. Howarth, Robert W. Guo, Huaicheng TI A system dynamics model for managing regional N inputs from human activities SO ECOLOGICAL MODELLING LA English DT Article DE NANI; Trade-off; System dynamics; Sustainability; N self-sufficiency, Pollution transfer ID ANTHROPOGENIC NITROGEN INPUTS; LAKE DIANCHI BASIN; MAINLAND CHINA; GLOBAL CHANGES; CONSEQUENCES; CYCLE; SCALE; NANI; WATERSHEDS; DRIVERS AB Human activities are the main drivers of alterations of regional N cycles. With increasing population and economic development, human-induced N inputs are expected to continue to increase in the future, especially in many regions of developing countries. Because N sources vary substantially at different temporal and spatial scales and stages of economic development, it is of great importance for environmental managers to be able to simulate the dynamics of N inputs to a specific region of interest. Based on the concept of net anthropogenic N inputs (NANI), a quasi-mass-balance method, a system dynamics model simulating regional N inputs (NANI-SD) is developed and presented here for the first time. The NANI-SD model evaluates how much new N from anthropogenic activities is introduced to the whole basin, providing a simple but effective way to examine human influences on regional N cycles. Our application of the NANI-SD model to the Lake Dianchi basin in China shows that human-induced N inputs will continue to increase under current trends of development. Scenarios focused on lowering population growth rate and banning crop production were not effective in achieving long-term reductions in N inputs because their impacts were compensated by the increases in croplands and food imports, respectively. However, adjusting diet patterns and limiting livestock numbers within the basin were shown to be highly effective in controlling regional N inputs without compromising environmental sustainability of food imported regions. There was a significant trade-off between N self-sufficiency and N inputs to the region, posing the issue of "pollution transfer" as the regions of livestock production providing animal products to the Lake Dianchi basin could suffer from locally intensified levels of N pollution introduced while producing those animal N products. The positive relationship between NANI and the proportion of animal-based protein in food indicates that reducing meat consumption could be an effective way of controlling local N inputs without sacrificing food sovereignty. NANI to the basin could also be reduced by recycling N in human and livestock wastes, but its capacity to reduce NANI is limited and projected to diminish with time. (C) 2015 Elsevier B.V. All rights reserved. C1 [Gao, Wei] Yunnan Univ, Sch Ecol & Environm Sci, Kunming 650091, Peoples R China. [Hong, Bongghi; Swaney, Dennis P.; Howarth, Robert W.] Cornell Univ, Dept Ecol & Evolutionary Biol, Ithaca, NY 14850 USA. [Guo, Huaicheng] Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China. RP Guo, HC (reprint author), Peking Univ, Coll Environm Sci & Engn, Beijing 100871, Peoples R China. EM guohc@pku.edu.cn OI Howarth, Robert/0000-0001-9531-4288 FU Major Science and Technology Program for Water Pollution Control and Treatment of China [2013ZX07102] FX This work was supported by the Major Science and Technology Program for Water Pollution Control and Treatment of China (2013ZX07102). CR Billen G, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/2/025001 Bouwman L, 2013, P NATL ACAD SCI USA, V110, P20882, DOI 10.1073/pnas.1012878108 Boyer EW, 2006, GLOBAL BIOGEOCHEM CY, V20, DOI 10.1029/2005GB002537 Chen DJ, 2014, ENVIRON SCI TECHNOL, V48, P5683, DOI 10.1021/es500127t Cleveland CC, 1999, GLOBAL BIOGEOCHEM CY, V13, P623, DOI 10.1029/1999GB900014 Cui SH, 2013, P NATL ACAD SCI USA, V110, P2052, DOI 10.1073/pnas.1221638110 Erisman J. W., 2013, PHILOS T R SOC LONDO, V368, P91 FORRESTER JW, 1958, HARVARD BUS REV, V36, P37 Galloway JN, 2004, BIOGEOCHEMISTRY, V70, P153, DOI 10.1007/s10533-004-0370-0 Gao W, 2014, BIOGEOSCIENCES, V11, P4577, DOI 10.5194/bg-11-4577-2014 Gao Wei, 2014, Acta Scientiarum Naturalium Universitatis Pekinensis, V50, P951, DOI 10.13209/j.0479-8023.2014.129 Gao W, 2015, SCI TOTAL ENVIRON, V505, P376, DOI 10.1016/j.scitotenv.2014.10.016 Gruber N, 2008, NATURE, V451, P293, DOI 10.1038/nature06592 Han H, 2012, BIOGEOCHEMISTRY, V109, P175, DOI 10.1007/s10533-011-9618-7 Han YG, 2014, GEODERMA, V213, P87, DOI 10.1016/j.geoderma.2013.07.019 He Dan, 2014, Acta Scientiarum Naturalium Universitatis Pekinensis, V50, P1095 Hong BG, 2013, ENVIRON SCI TECHNOL, V47, P5199, DOI 10.1021/es303437c Hong B, 2011, ENVIRON MODELL SOFTW, V26, P623, DOI 10.1016/j.envsoft.2010.11.012 Howarth R., 2000, ISSUES ECOL, V7, P1 Howarth R, 2012, FRONT ECOL ENVIRON, V10, P37, DOI 10.1890/100178 Howarth RW, 1996, BIOGEOCHEMISTRY, V35, P75, DOI 10.1007/BF02179825 Howarth RW, 2004, WATER SCI TECHNOL, V49, P7 Kastner T, 2012, P NATL ACAD SCI USA, V109, P6868, DOI 10.1073/pnas.1117054109 Lamarque JF, 2010, ATMOS CHEM PHYS, V10, P7017, DOI 10.5194/acp-10-7017-2010 Lassaletta L., 2013, REG ENVIRON CHANGE, V14, P785 [李翠萍 Li Cuiping], 2005, [云南农业大学学报, Journal of Yunnan Agricultural University], V20, P804 Liu H, 2015, J ENVIRON MANAGE, V155, P11, DOI 10.1016/j.jenvman.2015.02.046 Liu XJ, 2013, NATURE, V494, P459, DOI 10.1038/nature11917 Ma L, 2013, ENVIRON SCI TECHNOL, V47, P7260, DOI 10.1021/es400456u [潘珉 Pan Min], 2010, [中国工程科学, Engineering Science], V12, P117 People's Government of Kunming, 2009, DEC BANN SYNTH FERT People's Government of Kunming, 2008, REP LIM LIV LAK DIAN Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Smith VH, 2009, TRENDS ECOL EVOL, V24, P201, DOI 10.1016/j.tree.2008.11.009 Swaney DP, 2012, CURR OPIN ENV SUST, V4, P203, DOI 10.1016/j.cosust.2012.03.004 Townsend AR, 2003, FRONT ECOL ENVIRON, V1, P240, DOI 10.2307/3868011 Urban Planning Bureau of Kunming, 2008, INT URB PLANN KUNM 2 Ventana Systems Inc, 2014, VENS DSS WIND VERS 5 Vitousek PM, 1997, ECOL APPL, V7, P737, DOI 10.2307/2269431 [张汪寿 Zhang Wangshou], 2014, [生态学报, Acta Ecologica Sinica], V34, P7454 NR 40 TC 6 Z9 8 U1 3 U2 51 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0304-3800 EI 1872-7026 J9 ECOL MODEL JI Ecol. Model. PD FEB 24 PY 2016 VL 322 BP 82 EP 91 DI 10.1016/j.ecolmodel.2015.12.001 PG 10 WC Ecology SC Environmental Sciences & Ecology GA DC8DQ UT WOS:000369450500008 DA 2019-04-09 ER PT J AU Deines, JM Liu, X Liu, JG AF Deines, Jillian M. Liu, Xiao Liu, Jianguo TI Telecoupling in urban water systems: an examination of Beijing's imported water supply SO WATER INTERNATIONAL LA English DT Article DE telecoupling; virtual water; Urban water management; inter-basin transfer; sustainability; Beijing ID INPUT-OUTPUT-ANALYSIS; VIRTUAL WATER; RESOURCES MANAGEMENT; TRADE; CHINA; FOOTPRINT; FRAMEWORK; TRANSFERS; SCIENCE; MEGACITIES AB Urban centres increasingly have difficulties meeting water needs within their hydrologic basins. To sustain urban water supply, cities and water source regions have increased telecouplings (socio-economic and environmental interactions over distances). To analyse these complex interactions, we apply the new telecoupling framework to the water-stressed megacity of Beijing's imported water supply. We found that Beijing's remote water sources have lower risk than local supply, but connections impact the sending systems. The telecoupling framework provides a standard, systematic and flexible tool for evaluating the sustainability of urban water supply. It also identifies a number of research gaps for future quantification efforts. C1 [Deines, Jillian M.; Liu, Jianguo] Michigan State Univ, Dept Fisheries & Wildlife, Ctr Syst Integrat & Sustainabil, E Lansing, MI 48824 USA. [Deines, Jillian M.; Liu, Xiao] Michigan State Univ, Dept Geol Sci, Lansing, MI USA. RP Deines, JM (reprint author), Michigan State Univ, Dept Fisheries & Wildlife, Ctr Syst Integrat & Sustainabil, E Lansing, MI 48824 USA.; Deines, JM (reprint author), Michigan State Univ, Dept Geol Sci, Lansing, MI USA. EM deinesji@msu.edu OI Deines, Jillian M/0000-0002-4279-8765; Liu, Jianguo/0000-0001-6344-0087 FU Michigan State University's Distinguished Fellowship Program; Water Initiative Research Grant; NASA Headquarters under the NASA Earth and Space Science Fellowship Program [14-EARTH14F-198] FX The authors thank Michigan State University's Distinguished Fellowship Program and Water Initiative Research Grant for providing funding for this work. Jillian Deines was supported by NASA Headquarters under the NASA Earth and Space Science Fellowship Program [grant number 14-EARTH14F-198]. CR Beijing Water Bureau, 2010, BEIJ WAT B Biswas AK, 2004, WATER INT, V29, P248, DOI 10.1080/02508060408691775 Bivand R, 2014, RGDAL BINDINGS GEOSP Bivand R. S., 2015, RGEOS INTERFACE GEOM Chapagain AK, 2006, HYDROL EARTH SYST SC, V10, P455, DOI 10.5194/hess-10-455-2006 Chapagain AK, 2008, WATER INT, V33, P19, DOI 10.1080/02508060801927812 Chen H, 2014, PROT CRIT INFRASTRUC, V2, P213, DOI 10.1007/978-3-319-01092-2_10 Chen ZM, 2013, ECOL INDIC, V28, P142, DOI 10.1016/j.ecolind.2012.07.024 Dabrowski JM, 2009, HYDROL EARTH SYST SC, V13, P1967, DOI 10.5194/hess-13-1967-2009 Dalin C, 2014, P NATL ACAD SCI USA, V111, P9774, DOI 10.1073/pnas.1404749111 Duan GM, 2004, J ENVIRON SCI-CHINA, V16, P308 Eakin H, 2014, STRUNGMANN FORUM REP, P141 Engel K, 2011, BIG CITIES BIG WATER Engel S, 2008, ECOL ECON, V65, P663, DOI 10.1016/j.ecolecon.2008.03.011 Fitzhugh TW, 2004, BIOSCIENCE, V54, P741, DOI 10.1641/0006-3568(2004)054[0741:QUTGCA]2.0.CO;2 Garrett RD, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044055 GASSERT F, 2013, AQUEDUCT GLOBAL MAPS Gupta J, 2008, PHYS CHEM EARTH, V33, P28, DOI 10.1016/j.pce.2007.04.003 Hijmans R, 2014, RASTER GEOGRAPHIC DA Hoekstra A.Y., 2008, GLOBALIZATION WATER [黄晶 Huang Jing], 2010, [生态学报, Acta Ecologica Sinica], V30, P6546 Hubacek K, 2009, J CLEAN PROD, V17, P1241, DOI 10.1016/j.jclepro.2009.03.011 Jenerette G. D., 2010, URBAN ECOSYSTEM ECOL, P353, DOI 10.2134/agronmonogr55.c17 Jenerette GD, 2006, GLOBAL PLANET CHANGE, V50, P202, DOI 10.1016/j.gloplacha.2006.01.004 Kumar MD, 2005, WATER RESOUR MANAG, V19, P759, DOI 10.1007/s11269-005-3278-0 Leontief WW, 1936, REV ECON STATISTICS, V18, P105, DOI 10.2307/1927837 Li H., 2003, S TO N WATER TRANSFE, V3, P20 Liu J., FRONTIERS E IN PRESS Liu JG, 2007, AMBIO, V36, P639, DOI 10.1579/0044-7447(2007)36[639:CHANS]2.0.CO;2 Liu JG, 2015, SCIENCE, V347, DOI 10.1126/science.1258832 Liu JG, 2014, STRUNGMANN FORUM REP, P119 Liu JG, 2014, ASIA PAC POLICY STU, V1, P230, DOI 10.1002/app5.17 Liu JG, 2013, P NATL ACAD SCI USA, V110, P16297, DOI 10.1073/pnas.1316036110 Liu JG, 2013, ECOL SOC, V18, DOI 10.5751/ES-05873-180226 [刘晓 Liu Xiao], 2015, [水文, Journal of China Hydrology], V35, P55 Lundqvist J, 2005, AMBIO, V34, P267, DOI 10.1639/0044-7447(2005)034[0267:WMIM]2.0.CO;2 Ma HA, 2010, J HYDROL, V389, P317, DOI 10.1016/j.jhydrol.2010.06.010 Ma J, 2006, PHILOS T R SOC B, V361, P835, DOI 10.1098/rstb.2005.1644 McDonald RI, 2014, GLOBAL ENVIRON CHANG, V27, P96, DOI 10.1016/j.gloenvcha.2014.04.022 McDonald RI, 2011, P NATL ACAD SCI USA, V108, P6312, DOI 10.1073/pnas.1011615108 McGranahan G., 2005, ECOSYSTEMS HUMAN WEL, V1 Padowski JC, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012335 Pittock J., 2009, AM MAIN GERMANY, DOI [10.1080/14634989808656912, DOI 10.1080/14634989808656912] Probe International Beijing Group, 2008, BEIJ WAT CRIS 1949 2 Qian Z. Y., 2002, COMPREHENSIVE REPORT R Core Team, 2014, R LANG ENV STAT COMP Rohatgi A., 2014, VERSION 3 3 WEBPLOTD Suweis S, 2013, P NATL ACAD SCI USA, V110, P4230, DOI 10.1073/pnas.1222452110 Turner BL, 2003, P NATL ACAD SCI USA, V100, P8074, DOI 10.1073/pnas.1231335100 U.N. Population Division, 2014, STESASERA352 UN POP UN-Water, 2008, STAT REP INT WAT RES Varis O, 2006, INT J WATER RESOUR D, V22, P199, DOI 10.1080/07900620600648399 Wang GS, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006768 Wang HR, 2009, WATER INT, V34, P451, DOI 10.1080/02508060903370077 Wang Yan, 2005, Water Policy, V7, P345 Wang ZY, 2013, J CLEAN PROD, V42, P172, DOI 10.1016/j.jclepro.2012.11.007 World Water Assessment Program, 2012, 4 UNESCO UN WORLD WA Yang Y, 2012, ENVIRON EARTH SCI, V65, P1323, DOI 10.1007/s12665-011-1381-5 Zhang C, 2014, ECOL ECON, V100, P159, DOI 10.1016/j.ecolecon.2014.02.006 Zhang L, 2006, J HYDROL ENG, V11, P21, DOI 10.1061/(ASCE)1084-0699(2006)11:1(21) Zhang Y, 2010, SCI TOTAL ENVIRON, V408, P4702, DOI 10.1016/j.scitotenv.2010.06.019 Zhang ZY, 2012, ENVIRON SCI TECHNOL, V46, P12373, DOI 10.1021/es302576u Zhang ZY, 2011, ECOL ECON, V70, P2494, DOI 10.1016/j.ecolecon.2011.08.011 Zheng H, 2013, P NATL ACAD SCI USA, V110, P16681, DOI 10.1073/pnas.1312324110 Zheng J., 2012, TROPICAL SUBTROPICAL, P370 NR 65 TC 18 Z9 18 U1 5 U2 40 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND SN 0250-8060 EI 1941-1707 J9 WATER INT JI Water Int. PD FEB 23 PY 2016 VL 41 IS 2 BP 251 EP 270 DI 10.1080/02508060.2015.1113485 PG 20 WC Engineering, Civil; Water Resources SC Engineering; Water Resources GA DE6QB UT WOS:000370757600004 DA 2019-04-09 ER PT J AU Justice, V Bhaskar, P Pateman, H Cain, P Cahoon, S AF Justice, Vic Bhaskar, Prashant Pateman, Hilary Cain, Peter Cahoon, Stephen TI US container port resilience in a complex and dynamic world SO MARITIME POLICY & MANAGEMENT LA English DT Article DE US container ports; sustainability; resilience; complex adaptive systems ID SYSTEMS; FRAMEWORK; RISK AB The resilience of US container ports is increasingly challenged by disruptive and stressful events such as regulatory change, adverse weather, larger container ship sizes, changing patterns of trade and sea routes, and the still to be quantified effects of enlarging the capabilities and capacity of the Panama Canal. Port sustainability requires the port managers to be resilient in their practices, to maintain existing performance levels and to increase market share when opportunity presents. The primary question that this paper addresses is how US container ports might be affected by adverse events and how they undertake resilience processes when faced with complex problems and uncertain outcomes. The paper gathers insights from literature on complex adaptive systems to discuss how US container ports may adapt to changing circumstances through innovation and the emergent outputs of self-organised agents (components) of their port organisations. The paper suggests that by conceptualising ports as complex adaptive systems, port managers may be able to better understand the complexity of change and organisational dynamics and thus harness the phenomenon of self-organisation towards their strategic intent. C1 [Justice, Vic] Port Broome, Broome, WA, Australia. [Bhaskar, Prashant; Pateman, Hilary; Cain, Peter; Cahoon, Stephen] Univ Tasmania, Australian Maritime Coll, Launceston, Tas 7250, Australia. RP Bhaskar, P (reprint author), Univ Tasmania, Australian Maritime Coll, Launceston, Tas 7250, Australia. EM Prashant.Bhaskar@utas.edu.au OI Bhaskar, Prashant/0000-0002-7549-9120 CR Alderton P., 2005, PORT MANAGEMENT OPER Anderson P, 1999, ORGAN SCI, V10, P216, DOI 10.1287/orsc.10.3.216 BARR PS, 1992, STRATEGIC MANAGE J, V13, P15, DOI 10.1002/smj.4250131004 BERKES F., 2003, NAVIGATING SOCIAL EC Bertalanaffy L, 1968, GEN SYSTEMS THEORY F Bhaskar P., 2014, REV INTEGRATIVE BUSI, V3, P302 Canagaretna S. M, 2010, PANAMA CANAL EXPANSI Cetin CK, 2010, MARIT POLICY MANAG, V37, P195, DOI 10.1080/03088831003700611 Chopra S, 2004, MIT SLOAN MANAGE REV, V46, P53 Chu J, 2011, MIT NEWS 0414 Collier B. W., 2013, SEA GRANT LAW POLICY, V6, P77 Council on Environmental Quality, 2010, FIN REC INT OC POL T Cumming GS, 2005, ECOSYSTEMS, V8, P975, DOI 10.1007/s10021-005-0129-z Doyle J. C, 2011, ARCHITECTURE ROBUST Ducruet C, 2012, GLOBAL NETW, V12, P395, DOI 10.1111/j.1471-0374.2011.00355.x Ellis Beverley, 2011, Inform Prim Care, V19, P33 Ellram LM, 2013, J SUPPLY CHAIN MANAG, V49, P29, DOI 10.1111/jscm.12001 Fiksel J, 2003, ENVIRON SCI TECHNOL, V37, P5330, DOI 10.1021/es0344819 Fischer K, 2012, WORK, V41, P3900, DOI 10.3233/WOR-2012-0059-3900 Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002 Garrido P, 2009, LEARN ORGAN, V16, P208, DOI 10.1108/09696470910949935 Gibson CA, 2010, AUST J EMERG MANAG, V25, P8 Goulielmos A. M., 2002, MARIT POLICY MANAG, V29, P375, DOI [10.1080/03088830210144305, DOI 10.1080/03088830210144305] HAMEL G, 1989, HARVARD BUS REV, V67, P63 Hartwich O. M, 2012, FARAWAY SO CLOSE EUR Haugstetter H., 2010, RES TRANSP ECON, V27, P30, DOI [10.1016/j.retrec.2009.12.005, DOI 10.1016/J.RETREC.2009.12.005] Holling CS, 2001, ECOSYSTEMS, V4, P390, DOI 10.1007/s10021-001-0101-5 Hollnagel E, 2014, BUILD RES INF, V42, P221, DOI 10.1080/09613218.2014.862607 Hricko A, 2012, ENVIRON HEALTH PERSP, V120, pA470, DOI 10.1289/ehp.120-a470 Jansen C., 2011, LEADING MANAGING, V17, P59 Katz D., 1978, SOCIAL PSYCHOL ORG Kleindorfer PR, 2005, PROD OPER MANAG, V14, P53, DOI 10.1111/j.1937-5956.2005.tb00009.x Lovas B, 2000, STRATEGIC MANAGE J, V21, P875, DOI 10.1002/1097-0266(200009)21:9<875::AID-SMJ126>3.0.CO;2-P MARAD, 2009, US PUBL PORT DEV EXP Martin G, 2006, MANAGING PEOPLE ORG Martin-Breen P., 2011, RESILIENCE LIT REV McDaniel RR, 2007, PERFORM IMPROV Q, V20, P21, DOI 10.1111/j.1937-8327.2007.tb00438.x Morrison B. C., 2012, RACE TO THE TOP E GU National Ocean Council, 2013, NAT OC POL IMPL PLAN Omer M, 2012, MARIT POLICY MANAG, V39, P685, DOI 10.1080/03088839.2012.689878 Paley J, 2007, NURS INQ, V14, P233, DOI 10.1111/j.1440-1800.2007.00359.x Rodrigue J. -P., 2010, FACTORS IMPACTING N Rodrigue J.-P., 2013, HDB GLOBAL LOGISTICS Ryan A., 2009, AUSTR ARMY J, V3, P69 Smith D, 2009, RISK MANAG-UK, V11, P1, DOI 10.1057/rm.2009.1 Song D.-W., 2008, MARIT POLICY MANAG, V35, P73, DOI [10.1080/03088830701848953, DOI 10.1080/03088830701848953] Talley W. K., 2009, PORT EC Thuermes K. E., 2011, AM J TRANSPORTATION, V65, P4 Walker B, 2006, RESILIENCE THINKING Walsh M. J., 2012, US PORT INLAND WATER Watts J, 2014, SYST PRACT ACT RES, V27, P75, DOI 10.1007/s11213-012-9246-8 Wheatley M. J., 2008, LEADERSHIP EXCELLENC, V25, P7 Wheatley M. J., 2006, LEADERSHIP NEW SCI D NR 53 TC 9 Z9 9 U1 2 U2 13 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0308-8839 EI 1464-5254 J9 MARIT POLICY MANAG JI Marit. Policy Manag. PD FEB 17 PY 2016 VL 43 IS 2 BP 179 EP 191 DI 10.1080/03088839.2015.1133937 PG 13 WC Transportation SC Transportation GA DG5DG UT WOS:000372093300003 DA 2019-04-09 ER PT J AU Colicchia, C Creazza, A Dallari, F Melacini, M AF Colicchia, Claudia Creazza, Alessandro Dallari, Fabrizio Melacini, Marco TI Eco-efficient supply chain networks: development of a design framework and application to a real case study SO PRODUCTION PLANNING & CONTROL LA English DT Article DE Supply chain network design; eco-efficiency; green supply chain management; supply chain optimisation; food supply chain ID LOGISTICS SERVICE PROVIDERS; MANAGEMENT; CHALLENGES; SUSTAINABILITY; OPTIMIZATION; PERFORMANCE; SIMULATION; QUALITY AB This paper presents a supply chain network design framework that is based on multi-objective mathematical programming and that can identify eco-efficient' configuration alternatives that are both efficient and ecologically sound. This work is original in that it encompasses the environmental impact of both transportation and warehousing activities. We apply the proposed framework to a real-life case study (i.e. Lindt & Sprungli) for the distribution of chocolate products. The results show that cost-driven network optimisation may lead to beneficial effects for the environment and that a minor increase in distribution costs can be offset by a major improvement in environmental performance. This paper contributes to the body of knowledge on eco-efficient supply chain design and closes the missing link between model-based methods and empirical applied research. It also generates insights into the growing debate on the trade-off between the economic and environmental performance of supply chains, supporting organisations in the eco-efficient configuration of their supply chains. C1 [Colicchia, Claudia; Creazza, Alessandro] Univ Hull, Logist Inst, Sch Business, Cottingham Rd, Kingston Upon Hull HU6 7RX, N Humberside, England. [Dallari, Fabrizio] LIUC Univ, Logist Res Ctr, Castellanza, Italy. [Melacini, Marco] Politecn Milan, Dept Management Econ & Ind Engn, I-20133 Milan, Italy. RP Creazza, A (reprint author), Univ Hull, Logist Inst, Sch Business, Cottingham Rd, Kingston Upon Hull HU6 7RX, N Humberside, England. EM a.creazza@hull.ac.uk OI Colicchia, Claudia/0000-0002-8210-3702 CR Abbasi M, 2012, SUPPLY CHAIN MANAG, V17, P517, DOI 10.1108/13598541211258582 Abdallah T, 2012, PROD PLAN CONTROL, V23, P120, DOI 10.1080/09537287.2011.591622 Ahmetovic E, 2010, IND ENG CHEM RES, V49, P7972, DOI 10.1021/ie1000955 Ahuja RK, 2007, INFORMS J COMPUT, V19, P14, DOI 10.1287/ijoc.1050.0151 Ahumada O, 2009, EUR J OPER RES, V196, P1, DOI 10.1016/j.ejor.2008.02.014 Akkerman R, 2010, OR SPECTRUM, V32, P863, DOI 10.1007/s00291-010-0223-2 Ala-Harja H, 2014, TRANSPORT RES E-LOG, V69, P97, DOI 10.1016/j.tre.2014.05.015 Beamon BM, 2004, PROD PLAN CONTROL, V15, P270, DOI 10.1080/09537280410001697701 Beamon BM, 1999, INT J OPER PROD MAN, V19, P275, DOI 10.1108/01443579910249714 Brandenburg M, 2014, EUR J OPER RES, V233, P299, DOI 10.1016/j.ejor.2013.09.032 Buyukozkan G, 2012, PROD PLAN CONTROL, V23, P405, DOI 10.1080/09537287.2011.561814 Buyukozkan G, 2011, EXPERT SYST APPL, V38, P13731, DOI 10.1016/j.eswa.2011.04.171 Cano-Ruiz JA, 1998, ANNU REV ENERG ENV, V23, P499, DOI 10.1146/annurev.energy.23.1.499 Chaabane A, 2011, PROD PLAN CONTROL, V22, P727, DOI 10.1080/09537287.2010.543554 Chopra S., 2013, SUPPLY CHAIN MANAGEM Colicchia C, 2013, J CLEAN PROD, V59, P197, DOI 10.1016/j.jclepro.2013.06.057 Colicchia C, 2011, INT J LOGIST-RES APP, V14, P371, DOI 10.1080/13675567.2011.644270 Corsano G, 2011, COMPUT CHEM ENG, V35, P1384, DOI 10.1016/j.compchemeng.2011.01.008 Creazza A, 2012, INT J PROD RES, V50, P2925, DOI 10.1080/00207543.2011.578157 DEFRA, 2013, 2013 GOV GHG CONV FA Eksioglu SD, 2009, COMPUT IND ENG, V57, P1342, DOI 10.1016/j.cie.2009.07.003 European Commission, 2011, RED TEST GREENH GAS Evans J., 2007, TECHNICAL REPORT Frota NJQ, 2008, INT J PROD ECON, V111, P195, DOI DOI 10.1016/J.FIPE.2006.10.014 Grossmann IE, 2010, COMPUT CHEM ENG, V34, P1365, DOI 10.1016/j.compchemeng.2009.11.012 Harris I, 2014, TRANSPORT RES E-LOG, V66, P1, DOI 10.1016/j.tre.2014.01.010 Hassini E, 2012, INT J PROD ECON, V140, P69, DOI 10.1016/j.ijpe.2012.01.042 Hugo A, 2005, J CLEAN PROD, V13, P1471, DOI 10.1016/j.jclepro.2005.04.011 Jaegler A, 2012, PROD PLAN CONTROL, V23, P269, DOI 10.1080/09537287.2011.627656 Johnson Laurie T., 2012, ENVTL STUD SCI, V2, P205, DOI DOI 10.1007/S13412-012-0087-7 Langella IM, 2011, INT J SUSTAIN ENG, V4, P115, DOI 10.1080/19397038.2010.544421 Lin C. Y., 2008, J TECHNOLOGY MANAGEM, V3, P17 MacKay D., 2009, SUSTAINABLE ENERGY H Marchant C., 2012, GREEN LOGISTICS IMPR, P167 McKinnon AC., 2012, GREEN LOGISTICS IMPR Meixell MJ, 2005, TRANSPORT RES E-LOG, V41, P531, DOI 10.1016/j.tre.2005.06.003 Melo MT, 2009, EUR J OPER RES, V196, P401, DOI 10.1016/j.ejor.2008.05.007 Nikolopoulou A, 2012, COMPUT CHEM ENG, V44, P94, DOI 10.1016/j.compchemeng.2012.05.006 PORTER ME, 1995, HARVARD BUS REV, V73, P120 Prakash B., 2008, PUBLIC INTEREST ENER Rossi S, 2013, SUPPLY CHAIN MANAG, V18, P583, DOI 10.1108/SCM-02-2012-0053 SCHOEN F, 2002, HDB GLOBAL OPTIMIZAT, V2, P151 Seuring S, 2013, DECIS SUPPORT SYST, V54, P1513, DOI 10.1016/j.dss.2012.05.053 Shaw K, 2013, PROD PLAN CONTROL, V24, P851, DOI 10.1080/09537287.2012.666878 Sheu JB, 2011, TRANSPORT RES E-LOG, V47, P791, DOI 10.1016/j.tre.2011.05.014 Simchi- Levi D., 2008, DESIGNING MANAGING S Srivastava SK, 2007, INT J MANAG REV, V9, P53, DOI 10.1111/j.1468-2370.2007.00202.x Subramanian R, 2010, J IND ECOL, V14, P378, DOI 10.1111/j.1530-9290.2010.00243.x Wang F, 2011, DECIS SUPPORT SYST, V51, P262, DOI 10.1016/j.dss.2010.11.020 Werner S. R. L., 2006, IIR IRHACE C AUCKL N You FQ, 2012, AICHE J, V58, P1157, DOI 10.1002/aic.12637 Zailani S., 2011, INT BUS MANAG, V5, P104, DOI DOI 10.3923/IBM.2011.104.113 Zamboni A, 2009, ENERG FUEL, V23, P5134, DOI 10.1021/ef9004779 Zanoni S, 2012, INT J PROD ECON, V140, P731, DOI 10.1016/j.ijpe.2011.04.028 NR 54 TC 13 Z9 13 U1 7 U2 66 PU TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND SN 0953-7287 EI 1366-5871 J9 PROD PLAN CONTROL JI Prod. Plan. Control PD FEB 17 PY 2016 VL 27 IS 3 BP 157 EP 168 DI 10.1080/09537287.2015.1090030 PG 12 WC Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science SC Engineering; Operations Research & Management Science GA DB7EP UT WOS:000368677800003 DA 2019-04-09 ER PT J AU Zhang, D Evangelisti, S Lettieri, P Papageorgiou, LG AF Zhang, Di Evangelisti, Sara Lettieri, Paola Papageorgiou, Lazaros G. TI Economic and environmental scheduling of smart homes with microgrid: DER operation and electrical tasks SO ENERGY CONVERSION AND MANAGEMENT LA English DT Article DE Microgrids; Planning/scheduling; Multi-objective optimisation; epsilon-constraint; Mixed integer linear programming (MILP) ID DEMAND-SIDE MANAGEMENT; DISTRIBUTED ENERGY-RESOURCES; SYSTEM; CONSUMPTION; GENERATION AB Microgrids are promising in reducing energy consumption and carbon emissions, compared with the current centralised energy generation systems. Smart homes are becoming popular for their lower energy cost and provision of comfort. Flexible energy-consuming household tasks can be scheduled coordinately among multiple smart homes to reduce economic cost and CO2. However, the electricity tariff is not always positively correlated with CO2 intensity. In this work, a mixed integer linear programming (MILP) model is proposed to schedule the energy consumption within smart homes using a microgrid system. The daily power consumption tasks are scheduled by coupling environmental and economic sustainability in a multi-objective optimisation with s-constraint method. The two conflicting objectives are to minimise the daily energy cost and CO2 emissions. Distributed energy resources (DER) operation and electricity-consumption household tasks are scheduled based on electricity tariff, CO2 intensity and electricity task time window. The proposed model is implemented on a smart building of 30 homes under three different price schemes. Electricity tariff and CO2 intensity profiles of the UK are employed for the case study. The Pareto curves for cost and CO2 emissions present the trade-off between the two conflicting objectives. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Zhang, Di; Evangelisti, Sara; Lettieri, Paola; Papageorgiou, Lazaros G.] Univ London Univ Coll, Dept Chem Engn, Torrington Pl, London WC1E 7JE, England. RP Papageorgiou, LG (reprint author), Univ London Univ Coll, Dept Chem Engn, Torrington Pl, London WC1E 7JE, England. EM l.papageorgiou@ucl.ac.uk FU Qatar National Research Fund (via GORD) [NPRP 6-588-2-243] FX Authors gratefully acknowledge the financial support from Qatar National Research Fund (via GORD) under NPRP 6-588-2-243. CR Adika CO, 2014, IEEE T SMART GRID, V5, P673, DOI 10.1109/TSG.2013.2271427 Alarcon-Rodriguez A, 2010, RENEW SUST ENERG REV, V14, P1353, DOI 10.1016/j.rser.2010.01.006 [Anonymous], 2015, DOM EL EN US [Anonymous], 2012, DEM SID RESP DOM SEC [Anonymous], 2015, NOTE VARIATIONS UK G [Anonymous], 2004, ACT EN CHP SIZ VERS Balancing mechanism reporting system, 2015, NEW EL TRAD ARR 2010 Baraka K, 2013, 2013 FIFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, COMMUNICATION SYSTEMS AND NETWORKS (CICSYN), P296, DOI 10.1109/CICSYN.2013.47 Brooke A., 2008, GAMS USERS GUIDE Caprino D, 2014, ENERG BUILDINGS, V75, P133, DOI 10.1016/j.enbuild.2014.02.013 Castillo-Cagigal M, 2011, ENERG CONVERS MANAGE, V52, P2659, DOI 10.1016/j.enconman.2011.01.017 Chen Z, 2012, IEEE T SMART GRID, P1, DOI DOI 10.1155/2012/608298 Dagdougui H, 2012, ENERG CONVERS MANAGE, V64, P351, DOI 10.1016/j.enconman.2012.05.017 Department of Energy and Climate Change, 2011, MICR STRAT Department of Energy and Climate Change, 2015, 2013 UK GREENH GAS E Derin O., 2010, P 1 WORKSH GREEN SMA, P1 Dupont B, 2014, APPL ENERG, V122, P1, DOI 10.1016/j.apenergy.2014.02.022 Evangelisti S, 2015, PROCESS SAF ENVIRON, V93, P161, DOI 10.1016/j.psep.2014.03.008 Finn P, 2013, APPL ENERG, V101, P678, DOI 10.1016/j.apenergy.2012.07.004 Fuselli D, 2013, INT J ELEC POWER, V48, P148, DOI 10.1016/j.ijepes.2012.11.023 Hawkes AD, 2009, APPL ENERG, V86, P1253, DOI 10.1016/j.apenergy.2008.09.006 Hu W., 2010, P IEEE POW EN SOC GE, P1 Kriett PO, 2012, ENERGY, V42, P321, DOI 10.1016/j.energy.2012.03.049 Lior N, 2010, ENERGY, V35, P3976, DOI 10.1016/j.energy.2010.03.034 Logenthiran T, 2011, ELECTR POW SYST RES, V81, P138, DOI 10.1016/j.epsr.2010.07.019 Mohamed FA, 2012, ENERG CONVERS MANAGE, V64, P562, DOI 10.1016/j.enconman.2012.06.010 Naraharisetti PK, 2011, ENERGY, V36, P4235, DOI 10.1016/j.energy.2011.04.020 National Grid, 2015, UND EL DEM Ontario Energy Board, 2015, EL PRIC Pedrasa MAA, 2010, IEEE T SMART GRID, V1, P134, DOI 10.1109/TSG.2010.2053053 Rastegar M, 2012, APPL ENERG, V96, P45, DOI 10.1016/j.apenergy.2012.01.056 Song M, 2014, ELECTR POW SYST RES, V111, P103, DOI 10.1016/j.epsr.2014.02.016 Sou KC, 2013, 2013 EUROPEAN CONTROL CONFERENCE (ECC), P4051 Tascikaraoglu A, 2014, ENERG BUILDINGS, V80, P309, DOI 10.1016/j.enbuild.2014.05.042 Williams D, 2012, ENERG BUILDINGS, V48, P112, DOI 10.1016/j.enbuild.2012.01.016 Zhang D, 2014, ENERG CONVERS MANAGE, V80, P498, DOI 10.1016/j.enconman.2014.01.012 Zhang D, 2013, ENERG CONVERS MANAGE, V74, P209, DOI 10.1016/j.enconman.2013.04.038 NR 37 TC 46 Z9 46 U1 2 U2 33 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0196-8904 EI 1879-2227 J9 ENERG CONVERS MANAGE JI Energy Conv. Manag. PD FEB 15 PY 2016 VL 110 BP 113 EP 124 DI 10.1016/j.enconman.2015.11.056 PG 12 WC Thermodynamics; Energy & Fuels; Mechanics SC Thermodynamics; Energy & Fuels; Mechanics GA DC4LC UT WOS:000369191400011 DA 2019-04-09 ER PT J AU Miret, C Chazara, P Montastruc, L Negny, S Domenech, S AF Miret, Carlos Chazara, Philippe Montastruc, Ludovic Negny, Stephane Domenech, Serge TI Design of bioethanol green supply chain: Comparison between first and second generation biomass concerning economic, environmental and social criteria SO COMPUTERS & CHEMICAL ENGINEERING LA English DT Article DE Biomass; Supply chain; Multi objective; Optimization; Jobs estimation; Location problem ID LIFE-CYCLE ASSESSMENT; MULTIOBJECTIVE OPTIMIZATION; INTEGRATED BIOMASS; MODEL; BIOREFINERIES; MANAGEMENT; LOGISTICS; BIODIESEL; ENERGY; WASTE AB This contribution addresses the optimal design of the biomass supply chain as it is crucial to ensure long term viability of such a project. This work is focused on the multi objective optimization by considering all the dimension of the sustainable development, namely economic, environmental, and social. The environmental dimension is quantified through life cycle assessment, and more particularly the Ecocosts method. The social aspect is measured through two indicators: the competition between energy and food, and the total number of local accrued jobs. For the latter a new method based on financial accounting analysis is proposed to estimate the direct, indirect and induced jobs created. Once the superstructure described, the optimization problem is formulated as a mixed integer linear program (MILP) that accounts for biomass seasonality, geographical availability, biomass degradation, process conversion technologies and final product demand. The output results of the model propose the optimal network design, facilities location, process selection and inventory policy. Since multiple conflicting objectives are involved when optimizing the sustainability of the biomass supply chain and the binary variables have an important influence on the resolution, the MILP problem is solved with the goal programming method to reach the trade-off. The approach is illustrated through a bioethanol supply chain case study in France, for the comparison between agricultural and forest residues biomass. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Miret, Carlos; Chazara, Philippe; Montastruc, Ludovic; Negny, Stephane; Domenech, Serge] Univ Toulouse, INP ENSIACET, 4 Allee Emile Monso, F-31432 Toulouse 04, France. [Miret, Carlos; Chazara, Philippe; Montastruc, Ludovic; Negny, Stephane; Domenech, Serge] CNRS, LGC, F-31432 Toulouse 04, France. RP Negny, S (reprint author), CNRS 5503, Lab Genie Chim, Proc Syst Engn, F-31030 Toulouse, France. EM stephane.negny@ensiacet.fr CR Bowling IM, 2011, IND ENG CHEM RES, V50, P6276, DOI 10.1021/ie101921y Cellura M, 2011, RENEW SUST ENERG REV, V15, P4697, DOI 10.1016/j.rser.2011.07.082 Chauvel A, 2001, MANUEL EVALUATION EC Collette Y, 2012, OPTIMIZATION MULTIOB Cucek L, 2014, COMPUT CHEM ENG, V66, P57, DOI 10.1016/j.compchemeng.2014.02.020 Cucek L, 2012, ENERGY, V44, P135, DOI 10.1016/j.energy.2012.01.040 Cucek L, 2012, COMPUT CHEM ENG, V42, P87, DOI 10.1016/j.compchemeng.2012.01.010 Cucek L, 2012, J CLEAN PROD, V34, P9, DOI 10.1016/j.jclepro.2012.02.036 Cucek L, 2011, COMPUT CHEM ENG, V35, P1547, DOI 10.1016/j.compchemeng.2011.02.007 Cucek L, 2010, CLEAN TECHNOL ENVIR, V12, P635, DOI 10.1007/s10098-010-0312-6 Dunnett AJ, 2008, BIOTECHNOL BIOFUELS, V1, DOI 10.1186/1754-6834-1-13 Dutailly JC, 1983, EC STAT, V156, P3 Eksioglu SD, 2009, COMPUT IND ENG, V57, P1342, DOI 10.1016/j.cie.2009.07.003 Santibanez-Aguilar JE, 2014, J CLEAN PROD, V65, P270, DOI 10.1016/j.jclepro.2013.08.004 Fazlollahi S, 2013, APPL THERM ENG, V50, P1504, DOI 10.1016/j.applthermaleng.2011.11.035 Gasol CM, 2011, BIOMASS BIOENERG, V35, P2975, DOI 10.1016/j.biombioe.2011.03.041 Giarola S, 2014, BIORESOURCE TECHNOL, V159, P387, DOI 10.1016/j.biortech.2014.02.109 Giarola S, 2011, COMPUT CHEM ENG, V35, P1782, DOI 10.1016/j.compchemeng.2011.01.020 Haque M., 2014, Biomass and Bioenergy, V66, P308, DOI 10.1016/j.biombioe.2014.02.004 Houdin C, 2012, LACV SOCIALE COMMENT Hutchins MJ, 2008, J CLEAN PROD, V16, P1688, DOI 10.1016/j.jclepro.2008.06.001 Iakovou E, 2010, WASTE MANAGE, V30, P1860, DOI 10.1016/j.wasman.2010.02.030 Iglesias L, 2012, J CLEAN PROD, V37, P162, DOI 10.1016/j.jclepro.2012.07.002 INSEE (Institute National de la statistique et des etudes economiques), 2012, TECHNICAL REPORT International Energy Agency, 2012, ANN REP 2012 Kravanja Z, 2013, APPL ENERG, V101, P67, DOI 10.1016/j.apenergy.2012.04.025 Kurian JK, 2013, RENEW SUST ENERG REV, V25, P205, DOI 10.1016/j.rser.2013.04.019 Liu S, 2012, J BIOMASS BIOENERGY, V39, P1 Perez-Fortes M, 2014, ENERGY, V44, P79 Perez-Fortes M, 2014, CHEM ENG RES DES, V92, P1539, DOI 10.1016/j.cherd.2014.01.004 Pieragostini C, 2012, J ENVIRON MANAGE, V96, P43, DOI 10.1016/j.jenvman.2011.10.014 Ramos MA, 2014, IND ENG CHEM RES, V53, P17722, DOI 10.1021/ie5025408 Rizwan M, 2013, COMPUT CHEM ENG, V58, P305, DOI 10.1016/j.compchemeng.2013.08.002 Semences de France, 2013, PRINCIPAUX BESOINS M Sheu JB, 2005, TRANSPORT RES E-LOG, V41, P287, DOI 10.1016/j.tre.2004.07.001 Singh B, 2014, RENEW SUST ENERG REV, V29, P216, DOI 10.1016/j.rser.2013.08.067 Sokhansanj S, 2006, BIOMASS BIOENERG, V30, P838, DOI 10.1016/j.biombioe.2006.04.004 Standford L, 2011, ENERGY, V36, P6037 Tavares G, 2011, WASTE MANAGE, V31, P1960, DOI 10.1016/j.wasman.2011.04.013 Vogtlander J., 2000, INT J LCA, V5, P113, DOI DOI 10.1007/BF02979733 Vogtlander JG, 2001, INT J LIFE CYCLE ASS, V6, P157, DOI 10.1065/lca2000.011.042 Wallace R, 2005, TECHNICAL REPORT Wang F, 2011, DECIS SUPPORT SYST, V51, P262, DOI 10.1016/j.dss.2010.11.020 You F, 2011, IND ENG CHEM RES, V50, P1157 You FQ, 2012, AICHE J, V58, P1157, DOI 10.1002/aic.12637 Yuan HP, 2012, WASTE MANAGE, V32, P1218, DOI 10.1016/j.wasman.2012.01.028 Yue DJ, 2014, COMPUT CHEM ENG, V66, P36, DOI 10.1016/j.compchemeng.2013.11.016 Zhang FL, 2012, RENEW ENERG, V44, P380, DOI 10.1016/j.renene.2012.02.006 Zhang FL, 2011, BIOMASS BIOENERG, V35, P3951, DOI 10.1016/j.biombioe.2011.06.006 NR 49 TC 41 Z9 41 U1 5 U2 94 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0098-1354 EI 1873-4375 J9 COMPUT CHEM ENG JI Comput. Chem. Eng. PD FEB 2 PY 2016 VL 85 BP 16 EP 35 DI 10.1016/j.compchemeng.2015.10.008 PG 20 WC Computer Science, Interdisciplinary Applications; Engineering, Chemical SC Computer Science; Engineering GA DB5FO UT WOS:000368540100002 DA 2019-04-09 ER PT J AU Parish, ES Dale, VH English, BC Jackson, SW Tyler, DD AF Parish, Esther S. Dale, Virginia H. English, Burton C. Jackson, Samuel W. Tyler, Donald D. TI Assessing multimetric aspects of sustainability: Application to a bioenergy crop production system in East Tennessee SO ECOSPHERE LA English DT Article DE bioenergy crop; biofuel; cellulosic ethanol; decision support; indicators; multimetric; Panicum virgatum; scale; sustainability; switchgrass; Tennessee ID INDICATORS; FEEDSTOCK; ENERGY; MODEL AB This article connects the science of sustainability theory with applied aspects of sustainability deployment. A suite of 35 sustainability indicators spanning 12 environmental and socioeconomic categories has been proposed for comparing the sustainability of bioenergy production systems across different feedstock types and locations. Information on sustainability indicators and associated measurements for the feedstock production and logistics portions of the biofuel supply chain was available from a recent demonstration-scale switchgrass-to-ethanol production system located in East Tennessee. Knowledge pertaining to the available indicators was distributed within a hierarchical decision tree framework to generate an assessment of the overall sustainability of this no-till switchgrass production system relative to two alternative business-as-usual scenarios of unmanaged pasture and tilled corn production. The relative contributions of the social, economic, and environmental information were determined for the overall trajectory of this bioenergy system's sustainability under each scenario. The results show that, within this East Tennessee context, switchgrass production is an attractive option for improving environmental and social sustainability trajectories without adverse economic impacts, which can lead to enhanced sustainability overall. Although external trade does not yet exist for this switchgrass commodity, our economic modeling indicates that switchgrass production can still be beneficial to the counties surrounding the biorefinery in terms of dollars earned and jobs created. The opportunity to use inactive equipment and laborers is a potential benefit captured indirectly by the sustainability evaluation framework. Given the early stage of cellulosic ethanol production, it is currently difficult to determine quantitative values for all 35 proposed sustainability indicators across the entire biofuel supply chain. This case study demonstrates that integration of qualitative sustainability indicator ratings may increase holistic understanding of a bioenergy system in the absence of complete information. C1 [Parish, Esther S.; Dale, Virginia H.] Oak Ridge Natl Lab, Div Environm Sci, Ctr BioEnergy Sustainabil, 1 Bethel Valley Rd, Oak Ridge, TN 37831 USA. [English, Burton C.] Univ Tennessee, Dept Agr & Resource Econ, Inst Agr, 2621 Morgan Circle, Knoxville, TN 37996 USA. [Jackson, Samuel W.] Genera Energy Inc, 167 Tellico Port Rd, Vonore, TN 37885 USA. [Tyler, Donald D.] Univ Tennessee, West Tennessee Res & Educ Stn, 605 Airways Blvd, Jackson, TN 38301 USA. RP Parish, ES (reprint author), Oak Ridge Natl Lab, Div Environm Sci, Ctr BioEnergy Sustainabil, 1 Bethel Valley Rd, Oak Ridge, TN 37831 USA. EM parishes@ornl.gov OI Parish, Esther/0000-0001-9264-6295 FU USA Department of Energy (DOE) under the Bioenergy Technologies Office (BETO); DOE [DE-AC05-00OR22725]; Southeastern Partnership for Integrated Biomass Supply Systems (IBSS) through Agriculture and Food Research Initiative Competitive from the USDA National Institute of Food and Agriculture [2011-68005-30410]; USDA/DOE Biomass Research and Development Initiative [EE0002993] FX Funding for this research was provided by the USA Department of Energy (DOE) under the Bioenergy Technologies Office (BETO). Oak Ridge National Laboratory (ORNL) is managed by UT-Battelle, LLC, for DOE under contract DE-AC05-00OR22725. Support for this research was also provided by the Southeastern Partnership for Integrated Biomass Supply Systems (IBSS), which is funded through Agriculture and Food Research Initiative Competitive Grant no. 2011-68005-30410 from the USDA National Institute of Food and Agriculture. A portion of the soil data was provided by Nicole Labbe from work supported by the USDA/DOE Biomass Research and Development Initiative under contract EE0002993. Thank you to our DOE BETO sponsor, Kristen Johnson, for her support of this project. Thanks to Latha Baskaran of ORNL for her analysis of hydrologic data provided by Zachariah Seiden and John Schwartz of The University of Tennessee (UT). Thanks to Jamey Menard of the UT Institute of Agriculture (UTIA) for conducting economic analysis of our case study and alternative scenarios. Thanks to Jessica McCord, Chris Clark, and Edward Yu of UTIA, Jesse Daystar of North Carolina State University, and other IBSS collaborators for the providing their manuscripts and clarification. Thanks to Gina Busby of ORNL for cross-checking references. And last, but not least, thanks to Nathan Pollesch of UT and two anonymous reviewers for their helpful comments on an earlier draft of this manuscript. CR Bansal A, 2013, RENEW ENERG, V59, P53, DOI 10.1016/j.renene.2013.03.017 Bohanec M, 2008, ECOL MODEL, V215, P247, DOI 10.1016/j.ecolmodel.2008.02.016 Bohanec M, 2013, INFORM-J COMPUT INFO, V37, P49 Clark C. D., 2007, J EXTENSION, V45 Clayton MJ, 1997, ED PSYCHOL, V17, P373, DOI DOI 10.1080/0144341970170401 Dale BE, 2012, BIOTECHNOL PROGR, V28, P893, DOI 10.1002/btpr.1575 Dale VH, 2013, ECOL INDIC, V26, P87, DOI 10.1016/j.ecolind.2012.10.014 Dale VH, 2011, ECOL APPL, V21, P1039, DOI 10.1890/09-0501.1 Efroymson RA, 2013, ENVIRON MANAGE, V51, P291, DOI 10.1007/s00267-012-9907-5 English B. C., 2013, EC RES INT, V2013, P14, DOI DOI 10.1155/2013/138485 Florin MJ, 2014, ENVIRON SCI POLICY, V37, P142, DOI 10.1016/j.envsci.2013.09.012 Groot JCJ, 2011, METHODS ECOL EVOL, V2, P643, DOI 10.1111/j.2041-210X.2011.00114.x Lewis KC, 2014, ECOL MONOGR, V84, P171, DOI 10.1890/13-1625.1 MacMillan DC, 2006, ANIM CONSERV, V9, P11, DOI 10.1111/j.1469-1795.2005.00001.x Martinez DM, 2008, ENERG POLICY, V36, P1430, DOI 10.1016/j.enpol.2007.12.016 McBride AC, 2011, ECOL INDIC, V11, P1277, DOI 10.1016/j.ecolind.2011.01.010 McLaughlin SB, 1998, BIOMASS BIOENERG, V14, P317, DOI 10.1016/S0961-9534(97)10066-6 Pelzer E, 2012, ECOL INDIC, V18, P171, DOI 10.1016/j.ecolind.2011.11.019 Qualls DJ, 2012, BIOMASS BIOENERG, V39, P159, DOI 10.1016/j.biombioe.2012.01.002 Reed D, 2012, THESIS U TENNESSEE K Robertson GP, 2005, FRONT ECOL ENVIRON, V3, P38, DOI 10.2307/3868443 Tiller K, 2011, IND BIOTECHNOL, V7, P357 Tolbert VR, 2002, ENVIRON POLLUT, V116, pS97, DOI 10.1016/S0269-7491(01)00262-7 UT Agricultural Extension Service, 2001, PB4433M601 U TENN UT Vasileiadis VP, 2013, EUR J AGRON, V48, P1, DOI 10.1016/j.eja.2013.02.001 Velandia M., 2010, EUR J SOC SCI, V15, P299 Wang M, 2012, ENVIRON RES LETT, V7, DOI 10.1088/1748-9326/7/4/045905 West A. S., 2011, THESIS U TENNESSEE K NR 28 TC 6 Z9 6 U1 2 U2 20 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 2150-8925 J9 ECOSPHERE JI Ecosphere PD FEB PY 2016 VL 7 IS 2 AR e01206 DI 10.1002/ecs2.1206 PG 18 WC Ecology SC Environmental Sciences & Ecology GA DK4NX UT WOS:000374896300013 OA DOAJ Gold DA 2019-04-09 ER PT J AU Lehtonen, M Sebastien, L Bauler, T AF Lehtonen, Markku Sebastien, Lea Bauler, Tom TI The multiple roles of sustainability indicators in informational governance: between intended use and unanticipated influence SO CURRENT OPINION IN ENVIRONMENTAL SUSTAINABILITY LA English DT Article ID ENVIRONMENTAL INDICATORS; COMPOSITE INDICATORS; POLICY; REFLECTIONS; MANAGEMENT; APPRAISAL; SCIENCE; NUMBERS; MISUSE; NONUSE AB Indicators of sustainable development (SDIs), societal progress and wellbeing are perceived as informational tools vital for sustainability governance. The literature has thus far overwhelmingly concentrated on improving the technical quality of the indicators, while the role of these indicators in policy processes remains under-researched. Drawing on literature concerning policy evaluation and assessments as well as the emerging literature on the interplay between indicators and policy this article identifies a number of issues central for the role of SDIs in governance processes. It draws attention to the multiple indirect pathways through which these indicators exert their influence, highlighting the conceptual and political roles of SDIs. The conclusions outline a number of trade-offs and ambiguities inherent in the use and development of indicators. C1 [Lehtonen, Markku] EHESS, GSPR, 131 Blvd St Michel, F-75005 Paris, France. [Lehtonen, Markku] Univ Sussex, Sci Policy Res Unit, Sussex Energy Grp, Brighton, E Sussex, England. [Sebastien, Lea] Univ Toulouse Le Mirail, CNRS, Lab GEODE, 5 Allees Antonio Machado, F-31058 Toulouse 9, France. [Bauler, Tom] Univ Libre Bruxelles, CP130-03,Ave FD Roosevelt 50, B-1050 Brussels, Belgium. RP Lehtonen, M (reprint author), EHESS, GSPR, 131 Blvd St Michel, F-75005 Paris, France.; Lehtonen, M (reprint author), Univ Sussex, Sci Policy Res Unit, Sussex Energy Grp, Brighton, E Sussex, England. EM m.lehtonen@sussex.ac.uk OI Lehtonen, Markku/0000-0003-2509-1554 CR Adelle C, 2012, ENVIRON PLANN C, V30, P401, DOI 10.1068/c11104 Argyris C., 1978, ORG LEARNING THEORY Bauler T, 2012, ECOL INDIC, V17, P38, DOI 10.1016/j.ecolind.2011.05.013 Bell S., 2003, MEASURING SUSTAINABI Bell S, 2011, LOCAL ENVIRON, V16, P281, DOI 10.1080/13549839.2011.566851 Cobb Clifford, 1998, LESSONS LEARNED HIST Davies IC, 1999, EVALUATION, V5, P150, DOI [DOI 10.1177/13563899922208896, 10.1177/13563899922208896] Derickson KD, 2009, ENVIRON PLANN A, V41, P896, DOI 10.1068/a40255 Efroymson RA, 2013, ENVIRON MANAGE, V51, P291, DOI 10.1007/s00267-012-9907-5 Gallopin G, 1996, ENVIRON MODEL ASSESS, V1, P101, DOI DOI 10.1007/BF01874899 Garb Y, 2008, ENVIRON RES LETT, V3, DOI 10.1088/1748-9326/3/4/045015 Grupp H, 2010, RES POLICY, V39, P67, DOI 10.1016/j.respol.2009.10.002 Gudmundsson H., 2003, J TRANSDISCIPLINARY, V2, P1 Henry GT, 2003, AM J EVAL, V24, P293 Hezri AA, 2006, THESIS AUSTR NATL U Hezri AA, 2006, ECOL ECON, V60, P86, DOI 10.1016/j.ecolecon.2005.11.019 Hood C, 2007, PUBLIC MONEY MANAGE, V27, P95, DOI 10.1111/j.1467-9302.2007.00564.x Innes JE, 1998, J AM PLANN ASSOC, V64, P52, DOI 10.1080/01944369808975956 Jackson PM, 2011, PUBLIC MONEY MANAGE, V31, P13, DOI 10.1080/09540962.2011.545542 Jacobs R, 2007, PUBLIC MONEY MANAGE, V27, P103, DOI 10.1111/j.1467-9302.2007.00565.x Jany-Catrice F, 2011, CURR OPIN ENV SUSTAI, V11, P93 Jany-Catrice F, 2011, REV SAVOIR AGIR, V11, P93 JASANOFF SS, 1987, SOC STUD SCI, V17, P195, DOI 10.1177/030631287017002001 Lascoumes P., 2005, GOUVERNER INSTRUMENT Le Gales P, 2011, SCI HUM, V7, P8 Lehtonen M, 2013, ECOL INDIC, V35, P24, DOI 10.1016/j.ecolind.2012.10.026 Lyytimaki J, 2013, INT J SUST DEV WORLD, V20, P385, DOI 10.1080/13504509.2013.834524 Mascarenhas A, 2014, ECOL INDIC, V39, P75, DOI 10.1016/j.ecolind.2013.12.001 Mickwitz P, 2009, J CLEAN PROD, V17, P1086, DOI 10.1016/j.jclepro.2008.12.003 Morse S, 2015, SUSTAIN DEV, V23, P84, DOI 10.1002/sd.1575 Newig Jens, 2008, GOVERNANCE SUSTAINAB OECD (Organization for Economic Cooperation and Development, 1991, ENV IND PREL SET Ortega-Cerda M, 2015, 6 INT C EUR SOC EC E Owens S, 2004, ENVIRON PLANN A, V36, P1943, DOI 10.1068/a36281 Pagani Fabrizio, 2003, PEER REV OECD TOOL C Parris TM, 2003, ANNU REV ENV RESOUR, V28, P559, DOI 10.1146/annurev.energy.28.050302.105551 Patton M. Q, 1997, UTILIZATION FOCUSED Perrin B, 1998, AM J EVAL, V19, P367, DOI 10.1016/S1098-2140(99)80218-5 Pielke Jr R. A., 2007, HONEST BROKER MAKING Pinter L, 2005, UNDSDEGMSD2005CRP2II Rafols I, 2012, C INT POL POL 2012 B Rametsteiner E, 2011, ECOL INDIC, V11, P61, DOI 10.1016/j.ecolind.2009.06.009 Rapport DJ, 2013, ECOL INDIC, V28, P10, DOI 10.1016/j.ecolind.2012.05.015 Rosenstrom U., 2006, European Environment, V16, P32, DOI 10.1002/eet.403 Rydin Y., 2003, LOCAL ENV, V8, P581, DOI DOI 10.1080/1354983032000152707 Rydin Y, 2007, ENVIRON PLANN D, V25, P610, DOI 10.1068/d72j Seaford C, 2013, SOC INDIC RES, V114, P29, DOI 10.1007/s11205-013-0381-0 Sebastien L, 2014, NAT CULT, V9, P316, DOI 10.3167/nc.2014.090305 Sebastien L, 2013, ECOL INDIC, V35, P3, DOI 10.1016/j.ecolind.2013.04.014 Sonntag V, 2010, APPL RES QUAL LIFE, V5, P325, DOI 10.1007/s11482-010-9115-5 Srebotnjak T, 2007, ENVIRON SCI POLICY, V10, P405, DOI 10.1016/j.envsci.2007.02.002 Star SL, 2010, SCI TECHNOL HUM VAL, V35, P601, DOI 10.1177/0162243910377624 Stiglitz J., 2010, MISMEASURING OUR LIV Tumhout EM, 2013, ET INF GOV WORKSH 17 Turcu C, 2013, J ENVIRON PLANN MAN, V56, P695, DOI 10.1080/09640568.2012.698984 Turnhout E, 2009, SCI PUBL POLICY, V36, P403, DOI DOI 10.3152/030234209X442007 Vedung E., 1997, PUBLIC POLICY PROGRA Waterton C, 2002, SOC STUD SCI, V32, P177, DOI 10.1177/0306312702032002001 Weiss C. H., 1999, EVALUATION, V5, P468, DOI DOI 10.1177/135638909900500408 Wibeck V, 2006, ENVIRON MANAGE, V37, P461, DOI 10.1007/s00267-004-0386-1 Zittoun P, 2006, DEV DURABLE TERRITOI NR 61 TC 19 Z9 21 U1 3 U2 18 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1877-3435 EI 1877-3443 J9 CURR OPIN ENV SUST JI Curr. Opin. Environ. Sustain. PD FEB PY 2016 VL 18 BP 1 EP 9 DI 10.1016/j.cosust.2015.05.009 PG 9 WC Green & Sustainable Science & Technology; Environmental Sciences SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DI5LP UT WOS:000373540900002 OA Green Published DA 2019-04-09 ER PT J AU dos Santos, PC Szklo, AS AF dos Santos, Patricia Carneiro Szklo, Alexandre S. TI Urea imports in Brazil: The increasing demand pressure from the biofuels industry and the role of domestic natural gas for the country's urea production growth SO JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING LA English DT Article DE Biodiesel; Biofuel; Fertilizer; Natural gas (NG); Sugar cane; Urea ID LIFE-CYCLE ASSESSMENT; LAND-USE CHANGE; ETHANOL-PRODUCTION; AMMONIA PRODUCTION; GHG EMISSIONS; ENERGY; SUGARCANE; BIODIESEL; OIL; SUSTAINABILITY AB Brazil is a major producer of liquid biofuels. To achieve these production levels, energy crops require the use of fertilizers, and to put pressure on the nitrogen fertilizer domestic market. This contributes to an increasing level of imports and trade deficits in the chemical industry. The main raw material for the production of urea is natural gas, which is also imported. Therefore, the expansion of energy supply via biofuels occurs through an increasing trade deficit either of urea or of natural gas. This highlights the debate about the impact of the expansion of such energy crops and the priority in the use of the natural gas domestically produced. Findings show that Brazil will stay a major importer of urea. Urea consumption associated with the production of biofuels has sufficient magnitude to justify an expansion of production capacity through a greenfield facility. However, the analysis of natural gas break-even price indicates that the project is not feasible, under a private investor logic. Even under the country strategic perspective (energy security versus trade deficits), being importer of urea is less risky (in terms of volume and prices) than being importer of fuels (natural gas as feedstock, or gasoline and diesel that are replaced by biofuels). (C) 2016 Elsevier B.V. All rights reserved. C1 [dos Santos, Patricia Carneiro; Szklo, Alexandre S.] Univ Fed Rio de Janeiro, COPPE UFRJ, BR-21941 Rio De Janeiro, Brazil. RP dos Santos, PC (reprint author), Univ Fed Rio de Janeiro, COPPE UFRJ, BR-21941 Rio De Janeiro, Brazil. EM patriciaequfrj@gmail.com CR ABIQUIM - Associacao Brasileira da Industria Quimica, 2014, DES IND QUIM BRAS ALICEWEB - Sistema de Analise das Informacoes de Comercio Exterior, 2015, EST COM EXT Altamirano C.A.A., 2013, THESIS U FEDERAL RIO ANDA - Associacao Nacional para Difusao de Adubos, 2013, SET FERT AN EST 2013 ANP - Agencia Nacional de Petroleo, 2014, GAS NAT BIOC AN EST Bendine A., 2015, PETROBRAS PLANO NEGO Benoist A, 2012, BIOMASS BIOENERG, V40, P133, DOI 10.1016/j.biombioe.2012.02.011 BNDES, 2012, BANCO NAC DES EC SOC, V1 BNDES - Banco Nacional de Desenvolvimento Economico e Social, 2010, BANC NAC DES EC SOC BP, 2015, STAT REV WORLD EN Brandao E.A.F., 2014, THESIS UFRJ COPPE RI, VXV Camargo Tathiany R, 2014, RESOUR POLICY, V41, P60 Castro C, 2014, ENERGY, V64, P506 Colela Jr O., 2013, 14 SEM GAS NAT JUN 1 Cremonez PA, 2015, RENEW SUST ENERG REV, V42, P415, DOI 10.1016/j.rser.2014.10.004 Da Silva A.J.G., 2013, THESIS UFRJ COPPE PR Dagash S.M.H., 2012, P 3 INT GAS PROC S M Dawson CJ, 2011, FOOD POLICY, V36, pS14, DOI 10.1016/j.foodpol.2010.11.012 Edrisi A, 2014, INT J HYDROGEN ENERG, V39, P8271, DOI 10.1016/j.ijhydene.2014.03.119 EFMA - European Fertilizer Manufacturers Association,, 2000, BEST AV TECH POLL PR Empresa de Pesquisa Energetica (EPE), 2014, AN CONJ BIOC AN 2013 EPE, 2014, EMPR PESQ EN SER EST EPE - Empresa de Pesquisa Energetica, 2014, PALN DEC EXP MALH TR EPE - Empresa de Pesquisa Energetica, 2014, PLAN DEC ENE PDE 202 Ferraro MC, 2012, ENERG POLICY, V50, P601, DOI 10.1016/j.enpol.2012.07.063 FIESP-Federation of Industries of Sao Paulo, 2013, OUTL FIESP 2023 PROJ Foster M.G.S., 2012, 13 ENC INT EN FIESP Franco J.A.M., 2015, ENTREVISTAS PROJETOS Gallejones P., 2015, SCI TOTAL ENV, V505, P1191 Garrett D.E., 1989, CHEM ENG EC NOSTRAND Gilbert P, 2014, J CLEAN PROD, V64, P581, DOI 10.1016/j.jclepro.2013.09.011 Glachant JM, 2009, ENERG POLICY, V37, P651, DOI 10.1016/j.enpol.2008.09.086 Goldemberg J, 2014, ENERG POLICY, V69, P14, DOI 10.1016/j.enpol.2014.02.008 Goldemberg J, 2014, ENERG POLICY, V64, P58, DOI 10.1016/j.enpol.2013.05.064 Heffer P., 2014, 82 IFA ANN C SYDN MA Herrera S., 2014, THESIS UFRJ COPPE RI, VXI Humbird D., 2011, NRELTP510047764 IBGE - Instituto Brasileiro de Geografia e Estatistica, 2015, SER EST IEA - International Energy Agency, 2014, WORLD EN OURL IFA - International Fertilizer Industry Association, 2015, IFA PIT WEB SHIFTS E IPEA-Instituto de Pesquisa Economica Aplicada, 2015, SERIES ESTATISTICAS Jonker JGG, 2015, APPL ENERG, V147, P593, DOI 10.1016/j.apenergy.2015.01.090 Kazi F. K., 2010, NRELTP6A246588 Kendall A, 2009, J CLEAN PROD, V17, P1175, DOI 10.1016/j.jclepro.2009.03.003 Kumar R., 2016, VALUATION THEORIES C, P471 La Rovere EL, 2011, WORLD DEV, V39, P1026, DOI 10.1016/j.worlddev.2010.01.004 Lage E., 2013, BNDES SETORIAL, P33 LORA E. E. S., 2012, BIOCOMBUSTIVEIS, V1 Luo L, 2009, RENEW SUST ENERG REV, V13, P1613, DOI 10.1016/j.rser.2008.09.024 MAPA, 2013, PROJ AGR BRAS 2012 2 MAPA - Ministerio da Agricultura Pecuaria e Abastecimento/SRI/DPI, 2015, AGROSTAT EST COM EXT Mard M., 2000, LICENSING J AUG, P27 Maroun C., 2014, THESIS UFRJ COPPE RI Mathias MC, 2007, ENERG POLICY, V35, P6478, DOI 10.1016/j.enpol.2007.08.013 McAloon A, 2000, NRELTP58028893 MIT, 2011, FUT NAT GAS INT MIT Monteiro N, 2012, ENERG POLICY, V41, P193, DOI 10.1016/j.enpol.2011.10.035 Moreira JR, 2014, ENERG POLICY, V65, P7, DOI 10.1016/j.enpol.2013.09.055 Nogueira L. A. H., 2013, Global Food Security, V2, P117, DOI 10.1016/j.gfs.2013.04.001 Park Y, 2004, TECHNOVATION, V24, P387, DOI 10.1016/S0166-4972(02)00099-8 Pavri Z., 1999, P INSIGHT C TOR Antolin MJP, 2013, ENERG POLICY, V61, P707, DOI 10.1016/j.enpol.2013.05.126 PERRY RH, 1997, PERRYS CHEM ENG HDB, P2581 Peters M., 2004, PLANT DESIGN EC CHEM Phillips S., 2007, NRELTP51041168 Rafiqul I, 2005, ENERGY, V30, P2487, DOI 10.1016/j.energy.2004.12.004 Ramirez CA, 2006, RESOUR CONSERV RECY, V46, P75, DOI 10.1016/j.resconrec.2005.06.004 Rathmann R, 2012, APPL ENERG, V97, P91, DOI 10.1016/j.apenergy.2011.11.021 Ribeiro PH, 2009, THESIS ESCOLA POLITE Rismiller C., 2009, 0906 PURD U DEP AGR Rocha MH, 2014, RENEW SUST ENERG REV, V37, P435, DOI 10.1016/j.rser.2014.05.036 Salomao I.L., 2013, THESIS UFRJ COPPE RI, VVII Santos R.M., 2015, THESIS UFRJ COPPE RI, VXIII Seabra JEA, 2010, BIOMASS BIOENERG, V34, P1065, DOI 10.1016/j.biombioe.2010.01.042 Singh SP, 2010, RENEW SUST ENERG REV, V14, P200, DOI 10.1016/j.rser.2009.07.017 Takahashi F, 2010, ENERG POLICY, V38, P2446, DOI 10.1016/j.enpol.2009.12.038 Tao L., 2014, NRELTP510061563 VALE - Vale Fertilizantes S.A, 2011, FORM REF van Eijck J, 2014, APPL ENERG, V135, P115, DOI 10.1016/j.apenergy.2014.08.015 Wallace A., 2014, N AM NITROGEN INVEST Walter A, 2011, ENERG POLICY, V39, P5703, DOI 10.1016/j.enpol.2010.07.043 Walter A, 2010, ENERGY, V35, P874, DOI 10.1016/j.energy.2009.07.032 Wang L, 2014, RENEW SUST ENERG REV, V40, P571, DOI 10.1016/j.rser.2014.07.212 Wilson W.W., 2015, AGR SYST, V235, P10 Wise M, 2014, APPL ENERG, V114, P763, DOI 10.1016/j.apenergy.2013.08.042 Wright MM, 2010, NRELTP6A2046586 YARA, 2014, YAR FERT IND HDB NR 87 TC 2 Z9 2 U1 3 U2 13 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1875-5100 EI 2212-3865 J9 J NAT GAS SCI ENG JI J. Nat. Gas Sci. Eng. PD FEB PY 2016 VL 29 BP 188 EP 200 DI 10.1016/j.jngse.2016.01.006 PG 13 WC Energy & Fuels; Engineering, Chemical SC Energy & Fuels; Engineering GA DH1RY UT WOS:000372563800022 DA 2019-04-09 ER PT J AU Ozcelik, AE AF Ozcelik, Ali Erdem TI Driving initiatives for future improvements of specialty agricultural crops SO COMPUTERS AND ELECTRONICS IN AGRICULTURE LA English DT Article DE Specialty agricultural crops; Agricultural innovation; Agricultural development; Agricultural systems; Agricultural sustainability ID CORYLUS-AVELLANA L.; INNOVATION SYSTEMS; COFFEE CERTIFICATION; DATA MODEL; TEA PLANT; BLACK TEA; O. KUNTZE; MANAGEMENT; QUALITY; FARMERS AB Today the global world is faced to address and meet the key challenges of agricultural development reliant on research and innovation actions. One of these actions is especially linked to the socio-economic requirements, foundational resources and rights of farmers to support agricultural production and outputs. As an agricultural output, some agricultural crops are proposed to satisfy as specialty agricultural crops according to the local and regional needs to enable improvements for all parties to provide good income, promotes equity, growth better livelihood and agricultural employment. These crops have some specific features and become increasingly important to have influenced on regional, national and multi-state agricultural research, development and extension initiatives. And also, they have leading effects on (i) food security, (ii) livelihood security and (iii) agricultural and rural development to make integration with the criteria such as economically significance, interests and feasibility of parties. Although the Agriculture Modality Paper, for agricultural issues released by The Chairman of the World Trade Organization (WTO) Negotiations on Agriculture, covers some criteria helping to define these crops, exactly there have been no globally common standards for identification them. However, it is questioned that how develop the specialty agricultural crops beyond identification of them. In this paper, firstly, it is aimed to address the key needs for future improvements of specialty agricultural crops. This mainly for designation of a framework for these crops covering all components in respond to this question integrated with agricultural innovation units and agricultural development sustainability within the innovation including their attributes and dimensions. Further, this schema focused on the prerequisites framework within the key priorities and the initiatives of innovation based specialty agricultural growth to make integration with ongoing agricultural policy and practice around the world. In follows, it is described the innovation units to improve production efficiency for specialty agricultural crops. Finally, it is represented the attributes and dimensions of sustainability with innovation through the specialty agricultural crop development. Integrated all these stages would provide a basis and methodology for sustainable specialty agricultural crops development strategies, growing under state guarantee in several world countries, following the drivers of agricultural innovation. And also it is expected to contribute to create an opportunity for farmers/organizations to produce such crops by accelerating the rate of innovation adoption within well-established priorities in agricultural rights. So, it is enabled to have an ability to cope with the effects of global agricultural challenges and emerging opportunities. (C) 2015 Elsevier B.V. All rights reserved. C1 [Ozcelik, Ali Erdem] Recep Tayyip Erdogan Univ, Dept Geomat Engn, TR-53100 Rize, Turkey. RP Ozcelik, AE (reprint author), Recep Tayyip Erdogan Univ, Dept Geomat Engn, Fac Engn, TR-53100 Rize, Turkey. EM alierdem.ozcelik@erdogan.edu.tr CR Abebe GK, 2013, AGR SYST, V122, P22, DOI 10.1016/j.agsy.2013.07.008 Alexandratos N, 2012, 20121203 ESA, P12, DOI DOI 10.1016/S0264-8377(03)00047-4 Alston JM, 2008, HORTSCIENCE, V43, P1461 [Anonymous], 2015, SPECIALTY CROPS PACI [Anonymous], 2015, WHAT IS SPECIALTY CR Aydinoglu A.C., 2014, NAT HAZARD EARTH SYS, V2, P6339 Bartel C.O., 2005, ATDF AFRICAN TECHNOL, V2, P21 Bernal Luisa, 2005, METHODOLOGY IDENTIFI Boubaker K, 2015, RENEW ENERG, V74, P523, DOI 10.1016/j.renene.2014.08.046 Cainglet J., 2005, GLOBAL ISSUE PAPERS Carof M, 2013, AGR SYST, V115, P51, DOI 10.1016/j.agsy.2012.09.011 Chavez E, 2015, SCI TOTAL ENVIRON, V533, P205, DOI 10.1016/j.scitotenv.2015.06.106 Cock J, 2011, AGR SYST, V104, P755, DOI 10.1016/j.agsy.2011.07.001 De Beenhouwer M, 2013, AGR ECOSYST ENVIRON, V175, P1, DOI 10.1016/j.agee.2013.05.003 Delmotte S, 2013, J ENVIRON MANAGE, V129, P493, DOI 10.1016/j.jenvman.2013.08.001 Delprete C, 2015, J FOOD ENG, V166, P364, DOI 10.1016/j.jfoodeng.2015.06.037 Dogliotti S, 2014, AGR SYST, V126, P76, DOI 10.1016/j.agsy.2013.02.009 Dogliotti S, 2014, AGR SYST, V126, P1, DOI 10.1016/j.agsy.2014.02.003 Dutta R, 2013, FOOD CHEM, V139, P689, DOI 10.1016/j.foodchem.2013.01.086 FAO, 2007, SPEC PROD DEV STAT A, P10 FAO, 2013, STAT FOOD AGR FOOD S FAO, 2013, OCC PAP INN FAM FARM FAO, 2003, ID SPEC PROD POSS SE FAO, 2005, 6 WTO MIN C HONG KON Ford J. R. D., 2007, WTO rules for agriculture compatible with development, P147 Ganewatta Gaminda, 2000, 44 ANN C AUSTR AGR R Ghirardello D, 2016, POSTHARVEST BIOL TEC, V112, P95, DOI 10.1016/j.postharvbio.2015.09.039 Hermans F, 2013, AGR SYST, V115, P117, DOI 10.1016/j.agsy.2012.09.006 ICTSD, 2005, 6 ICTSD INT TRAD AGR ICTSD and FAO, 2007, IND SEL AGR SPEC PRO John KMM, 2014, IND CROP PROD, V55, P289, DOI 10.1016/j.indcrop.2014.02.006 Karak T, 2015, CHEMOSPHERE, V119, P917, DOI 10.1016/j.chemosphere.2014.08.067 Kilelu CW, 2013, AGR SYST, V118, P65, DOI 10.1016/j.agsy.2013.03.003 Kinnear S, 2014, RESOUR POLICY, V39, P42, DOI 10.1016/j.resourpol.2013.10.009 Klerkx L, 2012, AGR SYST, V113, P39, DOI 10.1016/j.agsy.2012.07.006 Klerkx L, 2010, AGR SYST, V103, P390, DOI 10.1016/j.agsy.2010.03.012 KOnig B., 2012, 131 EAAE SEM INN AGR Lamprinopoulou C, 2014, AGR SYST, V129, P40, DOI 10.1016/j.agsy.2014.05.001 Le Gal PY, 2011, AGR SYST, V104, P714, DOI 10.1016/j.agsy.2011.07.007 Lee WS, 2010, COMPUT ELECTRON AGR, V74, P2, DOI 10.1016/j.compag.2010.08.005 Leon A, 2015, GEODERMA, V237, P168, DOI 10.1016/j.geoderma.2014.09.001 Li SY, 2011, AGR ECOSYST ENVIRON, V141, P390, DOI 10.1016/j.agee.2011.04.003 Li XL, 2015, COMPUT ELECTRON AGR, V112, P28, DOI 10.1016/j.compag.2015.01.005 Li XL, 2013, COMPUT ELECTRON AGR, V98, P46, DOI 10.1016/j.compag.2013.07.014 Liang ARD, 2011, INT J HOSP MANAG, V30, P855, DOI 10.1016/j.ijhm.2011.01.006 Ligon E., 2011, SUPPLY EFFECTS SPECI, P113 Lubbe A, 2011, IND CROP PROD, V34, P785, DOI 10.1016/j.indcrop.2011.01.019 Montella R, 2013, FOOD CHEM, V140, P717, DOI 10.1016/j.foodchem.2013.01.061 Moore ML, 2014, ENVIRON SCI POLICY, V38, P263, DOI 10.1016/j.envsci.2014.01.007 Moroney KM, 2015, CHEM ENG SCI, V137, P216, DOI 10.1016/j.ces.2015.06.003 Nair P.K. Ramachandran., 2012, AGROFORESTRY FUTURE Neilson J, 2008, WORLD DEV, V36, P1607, DOI 10.1016/j.worlddev.2007.09.005 Niederhauser N, 2008, COMPUT ELECTRON AGR, V61, P241, DOI 10.1016/j.compag.2007.12.001 OECD, 2013, TADCAAPMWP201219FINA Ortiz O, 2013, AGR SYST, V114, P73, DOI 10.1016/j.agsy.2012.08.007 Owuor PO, 2011, SUSTAIN AGR REV, V7, P277, DOI 10.1007/978-94-007-1521-9_10 Ozcelik A.E., 2013, THESIS KARADENIZ TU Ozcelik AE, 2015, COMPUT ELECTRON AGR, V117, P8, DOI 10.1016/j.compag.2015.07.008 Ozdestan O, 2013, FOOD RES INT, V53, P433, DOI 10.1016/j.foodres.2013.05.013 Pamuk H, 2014, FOOD POLICY, V44, P227, DOI 10.1016/j.foodpol.2013.09.015 Paramasivam M, 2014, CHEMOSPHERE, V111, P291, DOI 10.1016/j.chemosphere.2014.03.111 Pascucci S, 2011, AGR SYST, V104, P746, DOI 10.1016/j.agsy.2011.07.005 Rajalahti R., 2008, 38 WORLD BANK ARD DE Ramya M, 2013, CROP PROT, V44, P66, DOI 10.1016/j.cropro.2012.10.023 Reis S, 2006, J ENVIRON BIOL, V27, P653 Ruiz-Altisent M, 2010, COMPUT ELECTRON AGR, V74, P176, DOI 10.1016/j.compag.2010.07.002 Ryschawy J, 2014, AGR SYST, V129, P1, DOI 10.1016/j.agsy.2014.05.004 Sagris V, 2013, J ENVIRON MANAGE, V118, P40, DOI 10.1016/j.jenvman.2012.12.019 Schut M, 2014, CROP PROT, V56, P98, DOI 10.1016/j.cropro.2013.11.017 Sharma P, 2012, AGR WATER MANAGE, V109, P71, DOI 10.1016/j.agwat.2012.02.008 Singh S., 2010, J INTELLIGENT SERVIC, V3, P245, DOI DOI 10.1007/S11370-010-0074-3 Singh S., 2009, 4 IFAC INT WORKSH BI Suwastika IN, 2015, PROCEDIA ENVIRON SCI, V28, P88, DOI 10.1016/j.proenv.2015.07.013 Tasclogan C., 2010, OZEL URUN POLITIKASI, V11, P2 Therond O, 2011, AGR ECOSYST ENVIRON, V142, P85, DOI 10.1016/j.agee.2010.05.007 Tozsin G, 2014, J CLEAN PROD, V81, P146, DOI 10.1016/j.jclepro.2014.06.009 Trinetta V, 2013, FOOD MICROBIOL, V34, P296, DOI 10.1016/j.fm.2012.12.010 Van Rijsbergen B, 2016, WORLD DEV, V77, P277, DOI 10.1016/j.worlddev.2015.08.021 Vanclay FM, 2013, LAND USE POLICY, V31, P406, DOI 10.1016/j.landusepol.2012.08.004 Vellema W, 2015, FOOD POLICY, V57, P13, DOI 10.1016/j.foodpol.2015.07.003 WB, 2006, ENH AGR INN GO STREN WB, 2013, AGR ACT PLAN 2013 20 WB, 2012, AGR INN SYST INV SOU, P1 Werner SJ, 2015, CROP PROT, V72, P158, DOI 10.1016/j.cropro.2015.03.020 Wollni M, 2012, FOOD POLICY, V37, P67, DOI 10.1016/j.foodpol.2011.11.004 Wycherley A, 2008, FOOD QUAL PREFER, V19, P498, DOI 10.1016/j.foodqual.2008.02.006 Xiao Y, 2014, COMPUT ELECTRON AGR, V102, P51, DOI 10.1016/j.compag.2014.01.010 Xiong CW, 2015, FOOD CHEM, V176, P130, DOI 10.1016/j.foodchem.2014.12.057 Yang H, 2014, AGR SYST, V127, P115, DOI 10.1016/j.agsy.2014.02.005 Yang X, 2015, SCI HORTIC-AMSTERDAM, V184, P78, DOI 10.1016/j.scienta.2014.12.031 Zhao ZY, 2014, IND CROP PROD, V58, P31, DOI 10.1016/j.indcrop.2014.04.004 NR 91 TC 1 Z9 1 U1 2 U2 20 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0168-1699 EI 1872-7107 J9 COMPUT ELECTRON AGR JI Comput. Electron. Agric. PD FEB PY 2016 VL 121 BP 122 EP 134 DI 10.1016/j.compag.2015.12.001 PG 13 WC Agriculture, Multidisciplinary; Computer Science, Interdisciplinary Applications SC Agriculture; Computer Science GA DG9CJ UT WOS:000372380100013 DA 2019-04-09 ER PT J AU Purohit, AK Shankar, R Dey, PK Choudhary, A AF Purohit, Arun Kr. Shankar, Ravi Dey, Prasanta Kumar Choudhary, Alok TI Non-stationary stochastic inventory lot-sizing with emission and service level constraints in a carbon cap-and-trade system SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Carbon emission; Lot-sizing; Non-stationary stochastic demand; Cycle service level; Carbon cap-and-trade system ID SUPPLY CHAIN MANAGEMENT; IMPACT; EOQ; SUSTAINABILITY; MULTIPLE; POLICIES; MODELS AB Firms worldwide are taking major initiatives to reduce the carbon footprint of their supply chains in response to the growing governmental and consumer pressures. In real life, these supply chains face stochastic and non-stationary demand but most of the studies on inventory lot-sizing problem with emission concerns consider deterministic demand. In this paper, we study the inventory lot-sizing problem under non-stationary stochastic demand condition with emission and cycle service level constraints considering carbon cap-and-trade regulatory mechanism. Using a mixed integer linear programming model, this paper aims to investigate the effects of emission parameters, product- and system related features on the supply chain performance through extensive computational experiments to cover general type business settings and not a specific scenario. Results show that cycle service level and demand coefficient of variation have significant impacts on total cost and emission irrespective of level of demand variability while the impact of product's demand pattern is significant only at lower level of demand variability. Finally, results also show that increasing value of carbon price reduces total cost, total emission and total inventory and the scope of emission reduction by increasing carbon price is greater at higher levels of cycle service level and demand coefficient of variation. The analysis of results helps supply chain managers to take right decision in different demand and service level situations. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Purohit, Arun Kr.; Shankar, Ravi] Indian Inst Technol Delhi, Dept Management Studies, New Delhi, India. [Dey, Prasanta Kumar] Aston Univ, Aston Business Sch, Operat & Informat Management Grp, Birmingham B4 7ET, W Midlands, England. [Choudhary, Alok] Univ Loughborough, Management Sci & Operat Management Grp, Sch Business & Econ, Loughborough, Leics, England. RP Purohit, AK (reprint author), Indian Inst Technol Delhi, Dept Management Studies, New Delhi, India. EM arunpur@gmail.com; r.s.research@gmail.com; p.k.dey@aston.ac.uk; a.choudhary@lboro.ac.uk OI Dey, Prasanta/0000-0002-9984-5374 CR Absi N, 2013, EUR J OPER RES, V227, P55, DOI 10.1016/j.ejor.2012.11.044 Arslan MC, 2013, FOUND COMPUT DECIS S, V38, P223, DOI 10.2478/fcds-2013-0011 Bai CG, 2010, J CLEAN PROD, V18, P1200, DOI 10.1016/j.jclepro.2010.01.016 Battini D, 2014, INT J PROD ECON, V149, P145, DOI 10.1016/j.ijpe.2013.06.026 Benjaafar S, 2013, IEEE T AUTOM SCI ENG, V10, P99, DOI 10.1109/TASE.2012.2203304 Bonney M, 2011, INT J PROD ECON, V133, P43, DOI 10.1016/j.ijpe.2009.10.033 BOOKBINDER JH, 1988, MANAGE SCI, V34, P1096, DOI 10.1287/mnsc.34.9.1096 Bouchery Y, 2012, EUR J OPER RES, V222, P229, DOI 10.1016/j.ejor.2012.05.004 Cachon G. P., 2011, WORKING PAPER Chaabane A, 2012, INT J PROD ECON, V135, P37, DOI 10.1016/j.ijpe.2010.10.025 Chen X, 2013, OPER RES LETT, V41, P172, DOI 10.1016/j.orl.2012.12.003 Choudhary D., 2014, INT J PROD RES, V53, P1472 Choudhary D, 2015, OMEGA-INT J MANAGE S, V51, P59, DOI 10.1016/j.omega.2014.09.004 Dobos I, 2005, INT J PROD ECON, V93-4, P301, DOI 10.1016/j.ijpe.2004.06.028 Gong XT, 2013, OPER RES, V61, P908, DOI 10.1287/opre.2013.1189 Gonzalez E.D., 2013, J CLEAN PROD, V30, P1 Govindan K, 2014, J CLEAN PROD, V85, P212, DOI 10.1016/j.jclepro.2014.05.068 He P., 2014, J CLEAN PROD, P1 Hoen KMR, 2014, FLEX SERV MANUF J, V26, P170, DOI 10.1007/s10696-012-9151-6 Hua GW, 2011, INT J PROD ECON, V132, P178, DOI 10.1016/j.ijpe.2011.03.024 Huisingh D, 2015, J CLEAN PROD, V103, P1, DOI [10.1016/jjclepro.2015.04.098, 10.1016/j.jclepro.2015.04.098] Jaber MY, 2013, INT J PROD RES, V51, P69, DOI 10.1080/00207543.2011.651656 Jin MZ, 2014, J CLEAN PROD, V85, P453, DOI 10.1016/j.jclepro.2013.08.042 Kantor A., 2015, J CLEAN PROD, P1 Letmathe P, 2005, EUR J OPER RES, V167, P398, DOI 10.1016/j.ejor.2004.04.025 MARTEL A, 1995, EUR J OPER RES, V87, P74, DOI 10.1016/0377-2217(94)00019-9 Neale JJ, 2009, INTERFACES, V39, P388, DOI 10.1287/inte.1090.0442 Plambeck EL, 2012, ENERG ECON, V34, pS64, DOI 10.1016/j.eneco.2012.08.031 Retel Helmrich M., 2012, 201141 EI ER SCH EC, P1 Seuring S., 2013, DECIS SUPPORT SYST, V54, P1513 Shaw K, 2012, EXPERT SYST APPL, V39, P8182, DOI 10.1016/j.eswa.2012.01.149 Song J., 2011, HDB NEWSVENDOR PROBL, P297 Tarim SA, 2004, INT J PROD ECON, V88, P105, DOI 10.1016/S0925-5273(03)00182-8 Toptal A, 2014, INT J PROD RES, V52, P243, DOI 10.1080/00207543.2013.836615 Wahab MIM, 2011, INT J PROD ECON, V134, P151, DOI 10.1016/j.ijpe.2011.06.008 Zhang B, 2013, INT J PROD ECON, V144, P118, DOI 10.1016/j.ijpe.2013.01.024 NR 36 TC 17 Z9 17 U1 6 U2 44 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD FEB 1 PY 2016 VL 113 BP 654 EP 661 DI 10.1016/j.jclepro.2015.11.004 PG 8 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DE9XM UT WOS:000370993200063 OA Green Published DA 2019-04-09 ER PT J AU van Weelden, E Mugge, R Bakker, C AF van Weelden, Eline Mugge, Ruth Bakker, Conny TI Paving the way towards circular consumption: exploring consumer acceptance of refurbished mobile phones in the Dutch market SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Refurbishment; Circular economy; Consumer behavior; Consumer decision making; Mobile phones; Remanufacturing ID LOOP SUPPLY CHAINS; REMANUFACTURED PRODUCTS; DECISION-MAKING; DESIGN; APPEARANCE; STRATEGIES; AMBIGUITY; BEHAVIOR; SUSTAINABILITY; PERFORMANCE AB In the transition towards a circular economy, refurbishment can be applied to regain value from used products, and to reduce waste. Refurbishment is a process in which a professional company collects and restores used products in order to resell these products to new consumers. Building on insights from the remanufacturing literature, this research is the first to provide a comprehensive understanding of the factors that influence consumer acceptance of refurbished products, and in specific refurbished mobile phones. We adopted a qualitative approach using in-depth interviews with consumers (n = 20) of new and refurbished phones to gain rich insights into consumers' considerations that play a role in the choice of a refurbished product over a new product. This paper maps out the main factors that influence consumer acceptance of refurbished mobile phones. Our findings uncover that the majority of consumers do not take a refurbished product into consideration as a consequence of a lack of awareness and a misunderstanding of what refurbishment actually entails. In addition, refurbished products are often rejected as a consequence of a negative trade-off between perceived risks and benefits. Personal, contextual and product-related factors have been identified that influence consumers' assessment of a refurbished product's risks and benefits. Finally, the findings have been translated into practical guidelines for designers and marketers to positively steer consumer perception of refurbished products. (C) 2015 Elsevier Ltd. All rights reserved. C1 [van Weelden, Eline; Mugge, Ruth; Bakker, Conny] Delft Univ Technol, Fac Ind Design Engn, Landbergstr 15, NL-2628 CE Delft, Netherlands. RP Mugge, R (reprint author), Delft Univ Technol, Fac Ind Design Engn, Landbergstr 15, NL-2628 CE Delft, Netherlands. EM R.Mugge@tudelft.nl CR Abbey James D., 2015, Production and Operations Management, V24, P488, DOI 10.1111/poms.12238 Abdulrahman MDA, 2015, J CLEAN PROD, V105, P311, DOI 10.1016/j.jclepro.2014.02.065 Agrawal VV, 2015, MANAGE SCI, V61, P60, DOI 10.1287/mnsc.2014.2099 AJZEN I, 1991, ORGAN BEHAV HUM DEC, V50, P179, DOI 10.1016/0749-5978(91)90020-T Allwood JM, 2011, RESOUR CONSERV RECY, V55, P362, DOI 10.1016/j.resconrec.2010.11.002 Armstrong CM, 2015, J CLEAN PROD, V97, P30, DOI 10.1016/j.jclepro.2014.01.046 Atasu A, 2008, MANAGE SCI, V54, P1731, DOI 10.1287/mnsc.1080.0893 Atasu A, 2010, CALIF MANAGE REV, V52, P56, DOI 10.1525/cmr.2010.52.2.56 Auerbach C, 2003, QUALITATIVE DATA INT Ayres R., 1997, EUROPEAN MANAGEMENT, V15, P557 Bakker C, 2014, J CLEAN PROD, V69, P10, DOI 10.1016/j.jclepro.2014.01.028 Bettman J. R., 1991, HDB CONSUMER BEHAV, P50 BLOCH PH, 1995, J MARKETING, V59, P16, DOI 10.2307/1252116 Boulstridge E., 2000, J COMMUNICATION MANA, V4, P355, DOI DOI 10.1108/EB023532 CAMERER C, 1992, J RISK UNCERTAINTY, V5, P325, DOI 10.1007/BF00122575 Catulli M, 2012, J MANUF TECHNOL MANA, V23, P780, DOI 10.1108/17410381211253335 Chapman J., 2005, EMOTIONALLY DURABLE Cooper T, 2005, J IND ECOL, V9, P51, DOI 10.1162/1088198054084671 Creusen MEH, 2005, J PROD INNOVAT MANAG, V22, P63, DOI 10.1111/j.0737-6782.2005.00103.x Debo LG, 2005, MANAGE SCI, V51, P1193, DOI 10.1287/mnsc.1050.0369 Dowling G.R., 1994, EUR J MARKETING, V28, P56, DOI DOI 10.1108/03090569410049181 Ellen MacArthur Foundation, 2012, CIRC EC EC BUS RAT A ELLSBERG D, 1961, Q J ECON, V75, P643, DOI 10.2307/1884324 Engel J. F., 1968, CONSUMER BEHAV Enneking U, 2007, FOOD QUAL PREFER, V18, P133, DOI 10.1016/j.foodqual.2005.09.008 Essoussi LH, 2010, J CONSUM MARK, V27, P458, DOI 10.1108/07363761011063358 Ferguson ME, 2006, PROD OPER MANAG, V15, P351 Gehin A, 2008, J CLEAN PROD, V16, P566, DOI 10.1016/j.jclepro.2007.02.012 Goodall P, 2014, J CLEAN PROD, V81, P1, DOI 10.1016/j.jclepro.2014.06.014 Govindan K., 2015, J CLEAN PROD Guest G, 2006, FIELD METHOD, V18, P59, DOI 10.1177/1525822X05279903 Guide VDR, 2010, DECISION SCI, V41, P547, DOI 10.1111/j.1540-5915.2010.00280.x Guide VDR, 2001, PROD OPER MANAG, V10, P142 Hamzaoui-Essoussi L., 2014, J REMANUF, V4, P24 Harms R., 2015, J IND ECOL Hatcher GD, 2011, J CLEAN PROD, V19, P2004, DOI 10.1016/j.jclepro.2011.06.019 Hazen BT, 2012, INT J PROD ECON, V135, P781, DOI 10.1016/j.ijpe.2011.10.011 HIRSCHMAN EC, 1982, J MARKETING, V46, P92, DOI 10.2307/1251707 Hughner R. S., 2007, J CONSUM BEHAV, V6, P94, DOI [10.1002/cb.210, DOI 10.1002/CB.210] Ijomah WL, 2007, ROBOT CIM-INT MANUF, V23, P712, DOI 10.1016/j.rcim.2007.02.017 Ijomah WL, 1999, FIRST INTERNATIONAL SYMPOSIUM ON ENVIRONMENTALLY CONSCIOUS DEGIGN AND INVERSE MANUFACTURING, PROCEEDINGS, P192, DOI 10.1109/ECODIM.1999.747607 Jimenez-Parra B, 2014, J CLEAN PROD, V85, P488, DOI 10.1016/j.jclepro.2014.05.047 Linton JD, 2008, J PROD INNOVAT MANAG, V25, P287, DOI 10.1111/j.1540-5885.2008.00301.x Luchs MG, 2012, J PROD INNOVAT MANAG, V29, P903, DOI 10.1111/j.1540-5885.2012.00970.x Meyer A., 2001, BUSINESS STRATEGY EN, V10, P317, DOI DOI 10.1002/BSE.302 Michaud C, 2011, BUS STRATEG ENVIRON, V20, P408, DOI 10.1002/bse.703 Mont O, 2006, J CLEAN PROD, V14, P1509, DOI 10.1016/j.jclepro.2006.01.024 Moskowitz H. R., 1994, FOOD CONCEPTS PRODUC Mowen John C., 1988, J CONSUMER MARKETING, V5, P15 Mugge R, 2005, DES J, V8, P38, DOI DOI 10.2752/146069205789331637 Mugge R, 2012, APPL ERGON, V43, P1081, DOI 10.1016/j.apergo.2012.03.009 Mugge R, 2012, J ENG DESIGN, V23, P469, DOI 10.1080/09544828.2011.618802 OLSHAVSKY RW, 1979, J CONSUM RES, V6, P93, DOI 10.1086/208753 Ovchinnikov A, 2014, PROD OPER MANAG, V23, P744, DOI 10.1111/poms.12070 Pang G, 2015, INT J PROD RES, V53, P572, DOI 10.1080/00207543.2014.958594 PETTY RE, 1983, J CONSUM RES, V10, P135, DOI 10.1086/208954 Quinn Patton M., 2002, QUALITATIVE RES EVAL Rathore P, 2011, J CLEAN PROD, V19, P1709, DOI 10.1016/j.jclepro.2011.06.016 Rogers E. M., 2003, DIFFUSION INNOVATION Rose C. M., 2000, DESIGN ENV METHOD FO Sharma V, 2016, J CLEAN PROD, V112, P1882, DOI 10.1016/j.jclepro.2014.11.082 Souza GC, 2013, DECISION SCI, V44, P7, DOI 10.1111/j.1540-5915.2012.00394.x Subramanian R, 2012, M&SOM-MANUF SERV OP, V14, P315, DOI 10.1287/msom.1110.0368 Subramoniam R, 2013, J CLEAN PROD, V40, P212, DOI 10.1016/j.jclepro.2011.09.004 Thompson DV, 2005, J MARKETING RES, V42, P431, DOI 10.1509/jmkr.2005.42.4.431 Van Nes C. N., 2003, REPLACEMENT DURABLES Vasudevan H, 2012, INT J INNOVATION MAN, V3, P84 Wang Y., 2015, INT J PROD EC Wang YC, 2013, INT J PHYS DISTR LOG, V43, P866, DOI 10.1108/IJPDLM-01-2013-0011 Wei SG, 2015, J CLEAN PROD, V94, P340, DOI 10.1016/j.jclepro.2015.02.014 Yalabik B, 2014, INT J PROD ECON, V154, P299, DOI 10.1016/j.ijpe.2013.09.008 Young W, 2010, SUSTAIN DEV, V18, P20, DOI 10.1002/sd.394 NR 72 TC 45 Z9 45 U1 11 U2 58 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD FEB 1 PY 2016 VL 113 BP 743 EP 754 DI 10.1016/j.jclepro.2015.11.065 PG 12 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DE9XM UT WOS:000370993200072 OA Green Published DA 2019-04-09 ER PT J AU Aktin, T Gergin, Z AF Aktin, Tulin Gergin, Zeynep TI Mathematical modelling of sustainable procurement strategies: three case studies SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Sustainable procurement; Mathematical modelling; sustainability; Triple-bottom-line ID SUPPLY CHAIN MANAGEMENT; OF-THE-ART; ENVIRONMENTAL-MANAGEMENT; PERFORMANCE; SELECTION; COLLABORATION; FRAMEWORK; CRITERIA; INDUSTRY AB Sustainable procurement is the process of meeting the needs of an organisation with the most beneficial monetary value, while mitigating the diverse effects of its operations on society and environment. There are studies which adopt environmental criteria to procurement decisions, whereas, works integrating the three dimensions and discussing the trade-offs between them are scarce. In this paper, the three dimensions of corporate sustainability; environmental economical social, are integrated into supplier selection and demand allocation decisions. With their integrated approach, the proposed mathematical models aim to contribute to the relevant literature by analysing different sustainable procurement strategies. Initially a questionnaire is introduced for measuring the sustainability scores of a company's potential suppliers, and these scores are then used as an input to the models. The developed mixed integer linear programming models distribute demand to the most sustainable firms in the supplier pool of the company, while ensuring minimum procurement cost for the identified strategy. The questionnaire and models are implemented in three companies to interpret the outcomes of different sustainability strategies on the procurement decisions. Selection of the most appropriate strategy is a managerial decision influenced by the varying dynamics of the company and the market conditions. These models demonstrate an easy and practical approach in assisting sustainable procurement. Results are promising in displaying the trade-offs between the sustainability dimensions of different strategies with alternating procurement costs, and can aid the managers to integrate environmental, economical, and social aspects into their supply chain operations. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Aktin, Tulin; Gergin, Zeynep] Istanbul Kultur Univ, Dept Ind Engn, Atakoy Campus, TR-34156 Istanbul, Turkey. RP Aktin, T (reprint author), Istanbul Kultur Univ, Dept Ind Engn, Atakoy Campus, TR-34156 Istanbul, Turkey. EM t.aktin@iku.edu.tr RI Gergin, Zeynep/C-2523-2018 OI Gergin, Zeynep/0000-0003-4512-0519 CR Amindoust A, 2012, APPL SOFT COMPUT, V12, P1668, DOI 10.1016/j.asoc.2012.01.023 Appolloni A, 2014, J CLEAN PROD, V85, P122, DOI 10.1016/j.jclepro.2014.08.106 Azadnia AH, 2015, INT J PROD RES, V53, P383, DOI 10.1080/00207543.2014.935827 Bai C., 2009, 200905 CLARK U GP MA Buyukozkan G, 2012, EXPERT SYST APPL, V39, P3000, DOI 10.1016/j.eswa.2011.08.162 Chaabane A, 2011, PROD PLAN CONTROL, V22, P727, DOI 10.1080/09537287.2010.543554 Cokun N., 2012, 3 ANN C EUR DEC SCI Dai J, 2012, INT J PROD RES, V50, P5474, DOI 10.1080/00207543.2011.639396 Dawson GF, 2007, SUSTAIN DEV, V15, P69, DOI 10.1002/sd.307 Elkington J, 1997, CANNIBALS FORKS TRIP Epstein MJ, 2001, LONG RANGE PLANN, V34, P585, DOI 10.1016/S0024-6301(01)00084-X Ersoy H., 2012, 3 INT C IND ENG OP M Ferretti I, 2007, INT J PROD ECON, V108, P236, DOI 10.1016/j.ijpe.2006.12.037 Foerstl K, 2010, J PURCH SUPPLY MANAG, V16, P118, DOI 10.1016/j.pursup.2010.03.011 Gauthier C, 2005, J BUS ETHICS, V59, P199, DOI 10.1007/s10551-005-3416-x Genovese A, 2013, INT J PROD RES, V51, P2868, DOI 10.1080/00207543.2012.748224 Gergin Z., 2011, 31 NAT C OP RES IND Ghadimi P, 2014, PROC CIRP, V15, P165, DOI 10.1016/j.procir.2014.06.096 Govindan K, 2013, J CLEAN PROD, V47, P345, DOI 10.1016/j.jclepro.2012.04.014 Grossmann IE, 2010, COMPUT CHEM ENG, V34, P1365, DOI 10.1016/j.compchemeng.2009.11.012 Handfield R, 2002, EUR J OPER RES, V141, P70, DOI 10.1016/S0377-2217(01)00261-2 Hassini E, 2012, INT J PROD ECON, V140, P69, DOI 10.1016/j.ijpe.2012.01.042 Hollos D, 2012, INT J PROD RES, V50, P2968, DOI 10.1080/00207543.2011.582184 Hutchins MJ, 2008, J CLEAN PROD, V16, P1688, DOI 10.1016/j.jclepro.2008.06.001 Kalubanga M., 2012, INT J EC MANAG SCI, V1, P1 Kermani M.A.M.A., 2011, P 41 INT C COMP IND, P648 Klassen RD, 2003, PROD OPER MANAG, V12, P336 Kleindorfer PR, 2005, PROD OPER MANAG, V14, P482 Krause DR, 2009, J SUPPLY CHAIN MANAG, V45, P18, DOI 10.1111/j.1745-493X.2009.03173.x Lee SY, 2008, PROD OPER MANAG, V17, P573, DOI 10.3401/poms.1080.0063 Lozano R, 2012, J CLEAN PROD, V25, P14, DOI 10.1016/j.jclepro.2011.11.060 Maignan I., 2002, EUROPEAN MANAGEMENT, V20, P641, DOI DOI 10.1016/S0263-2373(02)00115-9 Meehan J, 2011, BUS STRATEG ENVIRON, V20, P94, DOI 10.1002/bse.678 Pagell M, 2010, J SUPPLY CHAIN MANAG, V46, P57, DOI 10.1111/j.1745-493X.2009.03186.x Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 Seuring S, 2013, DECIS SUPPORT SYST, V54, P1513, DOI 10.1016/j.dss.2012.05.053 Singh RK, 2009, ECOL INDIC, V9, P189, DOI 10.1016/j.ecolind.2008.05.011 Tang CS, 2012, EUR J OPER RES, V223, P585, DOI 10.1016/j.ejor.2012.07.030 Tate WL, 2012, J PURCH SUPPLY MANAG, V18, P173, DOI 10.1016/j.pursup.2012.07.001 Vachon S, 2008, J CLEAN PROD, V16, P1552, DOI 10.1016/j.jclepro.2008.04.012 Vachon S, 2008, INT J PROD ECON, V111, P299, DOI 10.1016/j.ijpe.2006.11.030 Walker H, 2012, J PURCH SUPPLY MANAG, V18, P201, DOI 10.1016/j.pursup.2012.11.003 Wang L, 2007, INT J PROD RES, V45, P1063, DOI 10.1080/00207540600635136 Wu ZH, 2011, J OPER MANAG, V29, P577, DOI 10.1016/j.jom.2010.10.001 Zhu QH, 2008, INT J PROD ECON, V111, P261, DOI 10.1016/j.ijpe.2006.11.029 NR 45 TC 15 Z9 15 U1 2 U2 28 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD FEB 1 PY 2016 VL 113 BP 767 EP 780 DI 10.1016/j.jclepro.2015.11.057 PG 14 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DE9XM UT WOS:000370993200074 DA 2019-04-09 ER PT J AU Yazan, DM AF Yazan, Devrim Murat TI Constructing joint production chains: An enterprise input-output approach for alternative energy use SO RESOURCES CONSERVATION AND RECYCLING LA English DT Article DE Joint production chains; Enterprise input-output; Waste recycling; Environmental sustainability; Sustainable supply chains ID LOOP SUPPLY CHAINS; PART 1; TIRES; APPLIANCES; LOGISTICS; ISSUES; TRADE; PLANT; MODEL AB Although there is already an extensive literature on waste and end-of-life (EOL) product recycling methods, the contribution of such methods to the environmental sustainability of entire production chains (PC) seems to have been ignored. Since many PCs belonging to diverse sectors have become more interconnected through recycling, the above mentioned problem is of vital importance to promoting cooperation among the actors of these PCs. The aim of this paper is to propose several sustainable PC combinations, namely joint production chains (jPCs), and to foresee how potential environmental effects can be mitigated by linking these PCs. To this end, in this paper an enterprise input-output (EIO) model is introduced to evaluate the potential environmental benefits of cooperative actions taken by the actors.in these joint production chains UPC). Moreover, it is aimed that the proposed model serves as a material planning tool for the companies involved in JPCs. Two main cases are investigated from structural perspective: (i) waste to main product substitution and (ii) EOL product to main product substitution. The proposed model provides dynamicity to input-output coefficients, thereby facilitating the calculation of the impacts of resource use change that stems from waste/main product recycling. This makes the model a novel material planning tool for modelling possible alternative material/energy use scenarios. Two empirical case examples from second-generation bioenergy PC and EOL tires PC validate the constructed model to demonstrate its applicability. The results indicate that the proposed model is able to compute not only the direct influence of recycling but also its indirect and resultant consequences on the all processes carried out by the involved actors. Substantial savings of energy and natural resources, and reductions in waste and CO2 emissions are found in the case examples. The model is particularly useful for implementing policy shifts, planning future material purchasing strategies, and foreseeing the necessary actor involvement to reach complete material substitution for companies. (C) 2015 Elsevier B.V. All rights reserved. C1 [Yazan, Devrim Murat] Univ Twente, Fac Behav Management & Social Sci, Dept Ind & Business Informat Syst, Drienerlolaan 5, NL-7522 NB Enschede, Netherlands. [Yazan, Devrim Murat] Vispo Srl, Via Turritana 78, I-07100 Sassari, Italy. RP Yazan, DM (reprint author), Univ Twente, Fac Behav Management & Social Sci, Dept Ind Engn & Business Informat Syst, Drienerlolaan 5, NL-7522 NB Enschede, Netherlands. EM d.m.yazan@utwente.nl FU P.O.R. SARDINIA F.S.E. - Regional competitiveness and employment, Axis IV Human capital, lines of activity l.1.1. and L.3.1 FX This article is produced as part of the research project entitled "Role of company behaviour and availability of information on the environmental and economic performance of supply chains" developed at "Vispo Srl", funded by a research grant with the resources of the P.O.R. SARDINIA F.S.E. 2007-2013 - Regional competitiveness and employment, Axis IV Human capital, lines of activity l.1.1. and L.3.1. CR Albino V, 2002, INT J PROD ECON, V78, P119, DOI 10.1016/S0925-5273(01)00216-X Albino V, 2003, ECON SYST RES, V15, P457, DOI DOI 10.1080/0953531032000152326 Albino V, 2011, ALTERNATIVE ENERGY S Bailey R., 2004, J IND ECOL, V8, P45 Baumol W.J., 1977, EC THEORY OPERATIONS BERNESSON S, 2004, LIFE CYCLE ASSESSMEN Brown L., 2006, PLAN B 2 0 RESCUING Carrasco F, 2002, J ENVIRON QUAL, V31, P1484, DOI 10.2134/jeq2002.1484 Chen GQ, 2015, LAND USE POLICY, V49, P118, DOI 10.1016/j.landusepol.2015.07.023 Chen GQ, 2011, ECOL ENG, V37, P622, DOI 10.1016/j.ecoleng.2010.12.027 Chen GQ, 2010, ENERG POLICY, V38, P6180, DOI 10.1016/j.enpol.2010.06.004 Chen ZM, 2013, ECOL INDIC, V28, P142, DOI 10.1016/j.ecolind.2012.07.024 Chertow M, 2012, J IND ECOL, V16, P13, DOI 10.1111/j.1530-9290.2011.00450.x Clauzade C., 2009, USING USED TYRES ALT Cook A, 2004, ENVIRON IMPACT ASSES, V24, P207, DOI 10.1016/j.eair.2003.10.011 Corbett CJ, 2001, PROD OPER MANAG, V10, P107 Corti A, 2004, ENERGY, V29, P2089, DOI 10.1016/j.energy.2004.03.014 de Souza R., 2000, Integrated Manufacturing Systems, V11, P348 EM-EA, 2012, GUID CEM PROD Esty Daniel C., 1998, J IND ECOL, V2, P35, DOI DOI 10.1162/JIEC.1998.2.1.35 European Cement Association, 2009, SUST CEM PROD COPR A Geyer R, 2004, CALIF MANAGE REV, V46, P55, DOI 10.2307/41166210 Giannakopoulou K, 2010, MICROPOR MESOPOR MAT, V128, P126, DOI 10.1016/j.micromeso.2009.08.022 Gold S, 2011, J CLEAN PROD, V19, P32, DOI 10.1016/j.jclepro.2010.08.009 Grubbstrom R.W., 2000, ECON SYST RES, V12, P3, DOI DOI 10.1080/095353100111254 Guide VDR, 2006, PROD OPER MANAG, V15, P345 Guide VDR, 2002, HARVARD BUS REV, V80, P25 Gungor A, 1999, COMPUT IND ENG, V36, P811, DOI 10.1016/S0360-8352(99)00167-9 IEA, 2010, SUST PROD 2 GEN BIOF IEA and WBCSD (International Energy Agency) and (World Business Council For Sustainable Development), 2009, CEM TECHN ROADM 2009 International Monetary Fund (IMF), 2008, IMP HIGH FOOD FUEL P Jackson T., 1998, J IND ECOL, V1, P3 Joshi S., 2000, J IND ECOL, V3, P95, DOI DOI 10.1162/108819899569449 Karaosmanoglu F, 1999, FUEL PROCESS TECHNOL, V59, P1, DOI 10.1016/S0378-3820(99)00004-1 Kartha S., 2000, BIOENERGY PRIMER MOD Kondo Y, 2004, INT J LIFE CYCLE ASS, V9, P236, DOI 10.1065/lca2004.033.153 Krikke H, 2004, CALIF MANAGE REV, V46, P23, DOI 10.2307/41166208 Kuhtz S, 2010, ENERGY, V35, P364, DOI 10.1016/j.energy.2009.10.002 Kurz H. D., 1998, ECONOMICS, V92 LaFarge, 2003, ENV BROCH 2003 Leontief W. W., 1936, GEN LINGUIST LIT THE, V105 Lin C, 2009, ECOL ECON, V68, P2096, DOI 10.1016/j.ecolecon.2009.02.002 Marangoni G., 2002, ECON SYST RES, V14, P245 Marangoni G., 2004, ECON SYST RES, V16, P85 Matthews H. S., 2001, J IND ECOL, V4, P7 Miller RE., 2009, INPUT OUTPUT ANAL FD Mortensen B., 1997, LIVSCYKLUSVURDERING Nakamura S, 2006, INT J LIFE CYCLE ASS, V11, P305, DOI 10.1065/lca2006.05.244 Pimentel D., 2005, NAT RESOUR RES, V14, P65, DOI DOI 10.1007/S11053-005-4679-8 Polenske KR, 2002, ENERG POLICY, V30, P865, DOI 10.1016/S0301-4215(01)00147-1 Prahinski C, 2006, OMEGA-INT J MANAGE S, V34, P519, DOI 10.1016/j.omega.205.01.003 Snir EM, 2001, PROD OPER MANAG, V10, P190 STORPER Michael, 1992, NUOVI MODELLI IMPRES, P209 Ten Raa T., 2006, EC INPUT OUTPUT ANAL U.K. Environment Agency, 2008, US SUBST FUELS UK CE Ucar S., 2008, BIORESOURCE TECHNOL, V99, P8871 US EPA, 2008, TRENDS BEN US ALT FU WBCSD, 2007, CEM SUST IN CEM IND Widenoja Raya, 2007, DESTINATION IOWA GET Xiannuan Lin, 1998, Structural Change and Economic Dynamics, V9, P205, DOI 10.1016/S0954-349X(97)00034-9 Yang Q., 2012, SCI WORLD J, V2012 Yazan DM, 2011, INT J PROD ECON, V131, P224, DOI 10.1016/j.ijpe.2010.07.017 Ziegler J, 2007, UN INDEPENDENT RIGHT NR 63 TC 7 Z9 8 U1 4 U2 21 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-3449 EI 1879-0658 J9 RESOUR CONSERV RECY JI Resour. Conserv. Recycl. PD FEB PY 2016 VL 107 BP 38 EP 52 DI 10.1016/j.resconrec.2015.11.012 PG 15 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA DE8SH UT WOS:000370906500005 DA 2019-04-09 ER PT J AU Searcy, C AF Searcy, Cory TI Measuring Enterprise Sustainability SO BUSINESS STRATEGY AND THE ENVIRONMENT LA English DT Article DE enterprise sustainability; corporate sustainability; supply chains; sustainability context; performance measurement ID SUPPLY-CHAIN MANAGEMENT; PERFORMANCE-MEASUREMENT SYSTEMS; CORPORATE SUSTAINABILITY; TRADE-OFFS; REVERSE LOGISTICS; DEFINITIONS; GREEN; ENVIRONMENT; INDICATORS; PRODUCT AB The purpose of this paper is to identify the key requirements for measuring enterprise sustainability. The paper argues that measuring enterprise sustainability requires the explicit consideration of a focal firm, its supply chain and the sustainability context within which the firm operates. Building on this notion, original definitions of enterprise sustainability and enterprise sustainability performance measurement systems (ESPMSs) are proposed. The definitions provide the basis for the development of a novel conceptual framework. The framework is used to identify seven key requirements and 35 associated sub-requirements for an ESPMS. Overall, the requirements highlight that sustainability performance measurement requires a systematic, structured and integrated approach that considers all aspects of enterprise sustainability. The framework presented in this paper is a conceptual model. In recognition of this point, the paper provides discussions on the potential application of the framework and guidance for further research. The academic, managerial and societal implications of the paper are also discussed. Copyright (c) 2014 John Wiley & Sons, Ltd and ERP Environment C1 [Searcy, Cory] Ryerson Univ, Dept Mech & Ind Engn, Toronto, ON, Canada. RP Searcy, C (reprint author), Ryerson Univ, Dept Mech & Ind Engn, Toronto, ON, Canada. EM cory.searcy@ryerson.ca FU Natural Sciences and Engineering Research Council (NSERC) of Canada FX Funding for this research was provided by the Natural Sciences and Engineering Research Council (NSERC) of Canada. CR Ahi P, 2013, J CLEAN PROD, V52, P329, DOI 10.1016/j.jclepro.2013.02.018 Akyuz GA, 2010, INT J PROD RES, V48, P5137, DOI 10.1080/00207540903089536 Angus-Leppan T, 2010, BUS STRATEG ENVIRON, V19, P230, DOI 10.1002/bse.675 Bai CG, 2012, SUPPLY CHAIN MANAG, V17, P78, DOI 10.1108/13598541211212221 Bansal P, 2000, ACAD MANAGE J, V43, P717, DOI 10.2307/1556363 Beamon BM, 1999, INT J OPER PROD MAN, V19, P275, DOI 10.1108/01443579910249714 Beare D, 2014, CORP SOC RESP ENV MA, V21, P336, DOI 10.1002/csr.1323 Bititci U, 2012, INT J MANAG REV, V14, P305, DOI 10.1111/j.1468-2370.2011.00318.x Bjorklund M, 2012, SUPPLY CHAIN MANAG, V17, P29, DOI 10.1108/13598541211212186 Bourne M., 2003, International Journal of Business Performance Management, V5, P1, DOI 10.1504/IJBPM.2003.002097 Bourne M, 2000, INT J OPER PROD MAN, V20, P754, DOI 10.1108/01443570010330739 Byggeth S, 2006, J CLEAN PROD, V14, P1420, DOI 10.1016/j.jclepro.2005.03.024 Colicchia C, 2012, SUPPLY CHAIN MANAG, V17, P403, DOI [10.1108/135985412112.16558, 10.1108/13598541211246558] Cuthbertson R, 2011, INT J PRODUCT PERFOR, V60, P583, DOI 10.1108/17410401111150760 Dyllick Thomas, 2002, BUSINESS STRATEGY EN, V11, P130, DOI DOI 10.1002/BSE.323 Edgeman R, 2014, BUS STRATEG ENVIRON, V23, P173, DOI 10.1002/bse.1779 Elkington J., 1998, CANNIBALS FORKS TRIP Fisher ML, 1997, HARVARD BUS REV, V75, P105 Fleischmann M, 1997, EUR J OPER RES, V103, P1, DOI 10.1016/S0377-2217(97)00230-0 Foley KJ., 2005, STANDARDS AUSTR HDB Freeman R., 1984, STRATEGIC MANAGEMENT Gibson R.B., 2006, IMPACT ASSESS PROJ A, V24, P170, DOI DOI 10.3152/147154606781765147 Gimenez C, 2012, SUPPLY CHAIN MANAG, V17, P531, DOI 10.1108/13598541211258591 Goldberg E., 2002, JT00125240 OECD Gopal PRC, 2012, INT J PRODUCT PERFOR, V61, P518, DOI 10.1108/17410401211232957 GRI 4, 2013, G4 SUST REP GUID Gunasekaran A, 2007, INT J PROD RES, V45, P2819, DOI 10.1080/00207540600806513 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Handfield R, 2002, EUR J OPER RES, V141, P70, DOI 10.1016/S0377-2217(01)00261-2 Hervani AA, 2005, BENCHMARKING, V12, P330, DOI 10.1108/14635770510609015 Huang SH, 2007, INT J PROD ECON, V105, P510, DOI 10.1016/j.ijpe.2006.04.020 Ilgin MA, 2010, J ENVIRON MANAGE, V91, P563, DOI 10.1016/j.jenvman.2009.09.037 International Institute for Sustainable Development (IISD), 1992, BUS STRAT SUST DEV Jain Vipul, 2009, International Journal of Logistics Systems and Management, V5, P61, DOI 10.1504/IJLSM.2009.021645 Kaptein M., 2001, J CORP CITIZENSH, V2, P91 Kennerley M, 2003, INT J OPER PROD MAN, V23, P213, DOI 10.1108/01443570310458465 Kennerley M, 2002, INT J OPER PROD MAN, V22, P1222, DOI 10.1108/01443570210450293 Kleindorfer PR, 2005, PROD OPER MANAG, V14, P482 Kocabasoglu C, 2007, J OPER MANAG, V25, P1141, DOI 10.1016/j.jom.2007.01.015 Kranjc D, 2005, ECOLOGICAL EC, V55, P551, DOI DOI 10.1016/J.ECOLECON.2004.12.011 LAU K. HUNG, 2011, BENCHMARKING INT J, V18, P873, DOI DOI 10.1108/14635771111180743 Lenzen M, 2004, ECOL ECON, V51, P237, DOI 10.1016/j.ecolecon.2004.06.008 Lozano R, 2008, J CLEAN PROD, V16, P1838, DOI 10.1016/j.jclepro.2008.02.008 McElroy M.W., 2012, CORPORATE SUSTAINABI McElroy MW, 2008, CORP SOC RESP ENV MA, V15, P223, DOI 10.1002/csr.164 Miemczyk J, 2012, SUPPLY CHAIN MANAG, V17, P478, DOI 10.1108/13598541211258564 Mitchell RK, 1997, ACAD MANAGE REV, V22, P853, DOI 10.2307/259247 Nardo M, 2008, HDB CONSTRUCTING COM Neely A. D., 1998, MEASURING BUSINESS P Pagell M, 2009, J SUPPLY CHAIN MANAG, V45, P37, DOI 10.1111/j.1745-493X.2009.03162.x Palme U, 2008, J CLEAN PROD, V16, P1346, DOI 10.1016/j.jclepro.2007.07.001 Parmigiani A, 2011, J OPER MANAG, V29, P212, DOI 10.1016/j.jom.2011.01.001 Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Sarkis J, 2012, J CLEAN PROD, V31, P40, DOI 10.1016/j.jclepro.2012.02.029 Sarkis J, 2010, CORP SOC RESP ENV MA, V17, P337, DOI 10.1002/csr.220 Schneider L, 2012, J PURCH SUPPLY MANAG, V18, P243, DOI 10.1016/j.pursup.2012.03.002 Searcy C., 2007, Corporate Social Responsibility and Environmental Management, V14, P135, DOI 10.1002/csr.124 Searcy C, 2008, BUSINESS STRATEGY EN, V17, P137, DOI DOI 10.1002/BSE.509 Searcy C, 2012, J BUS ETHICS, V107, P239, DOI 10.1007/s10551-011-1038-z Searcy C, 2009, MEAS BUS EXCELL, V13, P49, DOI 10.1108/13683040910984329 Searcy C, 2006, INT J INNOV SUSTAIN, V1, P389, DOI 10.1504/IJISD.2006.013737 Searcy C, 2005, MEAS BUS EXCELL, V9, P33, DOI 10.1108/13683040510602867 Seghezzo L, 2009, ENVIRON POLIT, V18, P539, DOI 10.1080/09644010903063669 Seuring S, 2013, J CLEAN PROD, V56, P1, DOI 10.1016/j.jclepro.2012.11.033 Seuring S, 2013, DECIS SUPPORT SYST, V54, P1513, DOI 10.1016/j.dss.2012.05.053 Slawinski N., 2009, ACAD MANAGEMENT P, V1, P1 Spangenberg J., 2002, ECOL INDIC, V2, P61, DOI DOI 10.1016/S1470-160X(02)00050-X Srivastava SK, 2007, INT J MANAG REV, V9, P53, DOI 10.1111/j.1468-2370.2007.00202.x Steurer R, 2005, J BUS ETHICS, V61, P263, DOI 10.1007/s10551-005-7054-0 Tahir AC, 2010, J CLEAN PROD, V18, P1598, DOI 10.1016/j.jclepro.2010.07.012 Tangen S., 2005, MEASURING BUSINESS E, V9, P46 van Marrewijk M, 2003, J BUS ETHICS, V44, P95, DOI 10.1023/A:1023331212247 WCED (World Commission on Environmental and Development), 1987, OUR COMMON FUTURE Whiteman G, 2013, J MANAGE STUD, V50, P307, DOI 10.1111/j.1467-6486.2012.01073.x Winn M, 2012, CORP SOC RESP ENV MA, V19, P63, DOI 10.1002/csr.293 Wittstruck David, 2012, International Journal of Logistics Systems and Management, V12, P195, DOI 10.1504/IJLSM.2012.047221 Wouters M, 2005, INT J OPER PROD MAN, V25, P1062, DOI 10.1108/01443570510626899 NR 77 TC 22 Z9 23 U1 3 U2 59 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0964-4733 EI 1099-0836 J9 BUS STRATEG ENVIRON JI Bus. Strateg. Environ. PD FEB PY 2016 VL 25 IS 2 BP 120 EP 133 DI 10.1002/bse.1861 PG 14 WC Business; Environmental Studies; Management SC Business & Economics; Environmental Sciences & Ecology GA DE5GF UT WOS:000370658600004 DA 2019-04-09 ER PT J AU Favretto, N Stringer, LC Dougill, AJ Dallimer, M Perkins, JS Reed, MS Atlhopheng, JR Mulale, K AF Favretto, N. Stringer, L. C. Dougill, A. J. Dallimer, M. Perkins, J. S. Reed, M. S. Atlhopheng, J. R. Mulale, K. TI Multi-Criteria Decision Analysis to identify dryland ecosystem service trade-offs under different rangeland land uses SO ECOSYSTEM SERVICES LA English DT Article DE Sustainable land management; Land degradation; Kalahari; Southern Africa; Multi-Criteria Decision Analysis ID KALAHARI; BOTSWANA; SUSTAINABILITY; LIVELIHOOD; CHALLENGES; MANAGEMENT; DIVERSITY; LESSONS; SYSTEM; CARBON AB Land degradation undermines ecosystem service provision, limiting economic returns from semi-arid rangelands. We apply a Multi-Criteria Decision Analysis (MCDA) to assess the value of ecosystem services, using monetary and non-monetary techniques in semi-arid rangelands in Kgalagadi District, southern Botswana. In doing so, we provide an empirical understanding of the linkages between policy, land use and the provision of ecosystem services based on the perspectives of local stakeholders identified through interviews and a workshop consultation. Findings suggest communal grazing provides the widest range of monetary and non-monetary values linked to ecosystem service delivery. Current economic incentives and policy initiatives supporting the livestock sector, linked to fencing and borehole drilling, create perverse incentives that over-emphasise commercial food production at the expense of other services. We identify a need for policy reforms to support livelihood diversification through the provision of a wider range of ecosystem services, and for further research to explore market opportunities for veld products and carbon trading. We show that MCDA offers a useful holistic assessment framework that could be applied more widely to semi-arid rangelands globally. (C) 2016 The Authors. Published by Elsevier B.V. C1 [Favretto, N.] United Nations Univ, Inst Water Environm & Hlth UNU INWEH, 175 Longwood Rd South,Suite 204, Hamilton, ON L8P 0A1, Canada. [Stringer, L. C.; Dougill, A. J.; Dallimer, M.] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England. [Perkins, J. S.; Atlhopheng, J. R.; Mulale, K.] Univ Botswana, Dept Environm Sci, Private Bag 002, Gaborone, Botswana. [Reed, M. S.] Birmingham City Univ, Birmingham Sch Built Environm, Knowledge Exchange Res Ctr Excellence, City Ctr Campus,Curzon St, Birmingham B4 7XG, W Midlands, England. RP Favretto, N (reprint author), United Nations Univ, Inst Water Environm & Hlth UNU INWEH, 175 Longwood Rd South,Suite 204, Hamilton, ON L8P 0A1, Canada. EM nicola.favretto@unu.edu; L.Stringer@leeds.ac.uk; A.J.Dougill@leeds.ac.uk; M.Dallimer@leeds.ac.uk; biotrackbotswana@gmail.com; Mark.Reed@bcu.ac.uk; MAtlhophe@mopipi.ub.bw; Mulalek@mopipi.ub.bw OI Dallimer, Martin/0000-0001-8120-3309; Dougill, Andrew/0000-0002-3422-8228; Stringer, Lindsay/0000-0003-0017-1654 FU Economics of Land Degradation Initiative [81163498]; Government of Botswana [EWT 8/36/4xxv(60)]; United Nations Convention to Combat Desertification (UNCCD); United Nations University (UNU) FX This research was funded by the Economics of Land Degradation Initiative, contract number 81163498, and carried out under research permit number EWT 8/36/4xxv(60) of the Government of Botswana. We thank the staff of the Deutsche Gesellschaft fur Internationale Zusammenarbeit (GIZ), United Nations Convention to Combat Desertification (UNCCD) and United Nations University (UNU) for their support, and particularly Emmanuelle Quillerou for her thoughtful comments on this paper. CR Akhtar-Schuster M, 2011, LAND DEGRAD DEV, V22, P299, DOI 10.1002/ldr.1058 Arntzen J., 2010, MAKGADIKAGADI FRAMEW, V2 Barron FH, 1996, MANAGE SCI, V42, P1515, DOI 10.1287/mnsc.42.11.1515 Bateman IJ, 2013, SCIENCE, V341, P45, DOI 10.1126/science.1234379 Broekhuizen H, 2015, PHARMACOECONOMICS, V33, P445, DOI 10.1007/s40273-014-0251-x Chanda R, 2003, J ARID ENVIRON, V54, P425, DOI 10.1006/jare.2002.1100 Costanza R, 2014, GLOBAL ENVIRON CHANG, V26, P152, DOI 10.1016/j.gloenvcha.2014.04.002 de Groot R, 2010, EC ECOSYSTEMS BIODIV Dougill A.J., 2014, REPORT FOR THE ECONO Dougill AJ, 2004, LAND DEGRAD DEV, V15, P233, DOI 10.1002/ldr.611 Dougill AJ, 2012, PHILOS T R SOC B, V367, P3178, DOI 10.1098/rstb.2011.0418 Fish R., 2011, PARTICIPATORY DELIBE Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772 Fontana V, 2013, ECOL ECON, V93, P128, DOI 10.1016/j.ecolecon.2013.05.007 GoB, 2007, NAT RES ACC BOTSW LI GoB, 2012, 2011 BOT POP HOUS CE GoB, 2012, AER CENS AN BOTSW 20 GoB, 2003, KGAL DISTR DEV PLAN, V6, P2003 GoB, 2013, BOTSW INT WAT RES MA GoUK, 2009, MULT AN MAN Hajkowicz S. A., 2000, J ENVIRON PLANN MAN, V43, P505, DOI DOI 10.1080/713676575 HOKKANEN J, 1995, WASTE MANAGE RES, V13, P175, DOI 10.1177/0734242X9501300207 Hokkanen J., 1994, APPL MCDA DECISION E Hubbard M., 1982, 14C AGR ODI AGR ADM Jacques G., 1995, J AFR STUD, V9, P33 Kenter J. O., 2014, 6 UNEPWCMC LWEC Kumar P., 2010, EC ECOSYSTEMS BIODIV Mace GM, 2012, TRENDS ECOL EVOL, V27, P19, DOI 10.1016/j.tree.2011.08.006 Madzwamuse M, 2007, REAL JEWELS KALAHARI Notter DR, 1999, J ANIM SCI, V77, P61 Ostrom E, 1999, SCIENCE, V284, P278, DOI 10.1126/science.284.5412.278 Perkins J.S., 2002, SUSTAINABLE LIVELIHO Perkins JS, 1996, J ARID ENVIRON, V33, P503, DOI 10.1006/jare.1996.0086 Richardson L., 2014, ECOL ECON, V115, P51 Rogers M, 1998, EUR J OPER RES, V107, P552, DOI 10.1016/S0377-2217(97)00154-9 Scherf B, 2008, FUTURE OF DRYLANDS, P89 Stringer LC, 2012, ENVIRON SCI POLICY, V19-20, P121, DOI 10.1016/j.envsci.2012.02.004 Stringer LC, 2007, GEOGR J, V173, P129, DOI 10.1111/j.1475-4959.2007.00226.x Thomas AD, 2012, PHILOS T R SOC B, V367, P3076, DOI 10.1098/rstb.2012.0102 Thomas DSG, 2004, LAND DEGRAD DEV, V15, P215, DOI 10.1002/ldr.610 Trust Thusano Lefatsheng, 2005, LAND USE MANAGEMENT Twyman C, 2000, J S AFR STUD, V26, P783, DOI 10.1080/713683606 WOCAT, 2010, SUST LAND MAN NR 43 TC 20 Z9 20 U1 4 U2 42 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2212-0416 J9 ECOSYST SERV JI Ecosyst. Serv. PD FEB PY 2016 VL 17 BP 142 EP 151 DI 10.1016/j.ecoser.2015.12.005 PG 10 WC Ecology; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA DE5AC UT WOS:000370641300017 OA Green Published, Other Gold DA 2019-04-09 ER PT J AU Krejci, CC Stone, RT Dorneich, MC Gilbert, SB AF Krejci, Caroline C. Stone, Richard T. Dorneich, Michael C. Gilbert, Stephen B. TI Analysis of Food Hub Commerce and Participation Using Agent-Based Modeling: Integrating Financial and Social Drivers SO HUMAN FACTORS LA English DT Article DE sustainability; dynamic systems modeling; ethnographic observations; organizational behavior; simulation ID COMPLEX ADAPTIVE SYSTEMS; SUPPLY NETWORKS; MANAGEMENT; CHAIN AB Objective: Factors influencing long-term viability of an intermediated regional food supply network (food hub) were modeled using agent-based modeling techniques informed by interview data gathered from food hub participants. Background: Previous analyses of food hub dynamics focused primarily on financial drivers rather than social factors and have not used mathematical models. Method: Based on qualitative and quantitative data gathered from 22 customers and 11 vendors at a midwestern food hub, an agent-based model (ABM) was created with distinct consumer personas characterizing the range of consumer priorities. A comparison study determined if the ABM behaved differently than a model based on traditional economic assumptions. Further simulation studies assessed the effect of changes in parameters, such as producer reliability and the consumer profiles, on long-term food hub sustainability. Results: The persona-based ABM model produced different and more resilient results than the more traditional way of modeling consumers. Reduced producer reliability significantly reduced trade; in some instances, a modest reduction in reliability threatened the sustainability of the system. Finally, a modest increase in price-driven consumers at the outset of the simulation quickly resulted in those consumers becoming a majority of the overall customer base. Conclusion: Results suggest that social factors, such as desire to support the community, can be more important than financial factors. Application: An ABM of food hub dynamics, based on human factors data gathered from the field, can be a useful tool for policy decisions. Similar approaches can be used for modeling customer dynamics with other sustainable organizations. C1 [Krejci, Caroline C.; Stone, Richard T.; Dorneich, Michael C.; Gilbert, Stephen B.] Iowa State Univ, Dept Ind & Mfg Syst Engn, Ames, IA 50011 USA. RP Krejci, CC (reprint author), Iowa State Univ, Ind & Mfg Syst Engn, Ames, IA 50011 USA. EM ckrejci@iastate.edu RI Dorneich, Michael/R-7100-2017; Krejci, Caroline/R-2137-2017 OI Dorneich, Michael/0000-0001-6386-4787; Krejci, Caroline/0000-0003-0696-1884; Stone, Richard/0000-0001-6711-0325 CR Adler P. J., 2005, P STUD INT DES RES C, P84 Ahumada O, 2009, EUR J OPER RES, V196, P1, DOI 10.1016/j.ejor.2008.02.014 Balmann A, 1997, EUR REV AGRIC ECON, V24, P85, DOI 10.1093/erae/24.1.85 Barham J., 2012, REGIONAL FOOD HUB RE Barham J, 2011, FOOD HUBS VIABLE REG Barham J., 2011, REGIONAL FOOD HUBS U Becu N, 2003, ECOL MODEL, V170, P319, DOI 10.1016/S0304-3800(03)00236-9 Belem M., 2006, INT C REG URB MOD BR Bloom J. D., 2010, RENEWABLE AGR FOOD S, V26, P13 Bosona T., 2011, Journal of Service Science and Management, V4, P357, DOI 10.4236/jssm.2011.43042 Brown A, 2002, AM J ALTERNATIVE AGR, V17, P167, DOI 10.1079/AJAA200218 Brown C, 2003, AM J ALTERNATIVE AGR, V18, P213, DOI 10.1079/AJAA200353 Choi TY, 2001, J OPER MANAG, V19, P351, DOI 10.1016/S0272-6963(00)00068-1 Clancy K., 2010, CHOICES, V25, P123 COOKE NJ, 1994, INT J HUM-COMPUT ST, V41, P801, DOI 10.1006/ijhc.1994.1083 Dalhberg K. A., 2008, FOOD MID LEVEL FARM, P23 Everitt B., 2011, CLUSTER ANAL Feenstra G, 2011, J AGRIC FOOD SYST CO, V1, P69, DOI 10.5304/jafscd.2011.014.009 Fischer M., 2013, FINDINGS 2013 NATL F Gilbert N., 2005, SIMULATION SOCIAL SC Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Happe K, 2011, AGR SYST, V104, P281, DOI 10.1016/j.agsy.2010.09.008 Higgins AJ, 2010, J OPER RES SOC, V61, P964, DOI 10.1057/jors.2009.57 Iles A, 2005, ENVIRON VALUE, V14, P163, DOI 10.3197/0963271054084894 Janssen MA, 2001, ECOL MODEL, V140, P111, DOI 10.1016/S0304-3800(01)00260-5 Janssen S, 2007, AGR SYST, V94, P622, DOI 10.1016/j.agsy.2007.03.001 Johnson-Laird P.N, 1983, MENTAL MODELS COGNIT Junior P. T. A., 2005, P CLIHC 05, P277 Kirby L. D., 2007, GROWING LOCAL IMPLIC Krejci C. C., 2012, P 2012 WINT SIM C BE, P1167 Krejci C, 2015, JASSS-J ARTIF SOC S, V18, DOI 10.18564/jasss.2727 LeRoux MN, 2010, RENEW AGR FOOD SYST, V25, P16, DOI 10.1017/S1742170509990275 McKenzie-Mohr D, 2000, J SOC ISSUES, V56, P543, DOI 10.1111/0022-4537.00183 Merrigan K., 2011, RURAL COOPERATIVES, V78, P2 Meter K. A., 2006, SYSTEMS CONCEPTS EVA, P141 Myers G.S., 2011, BOOTH FARMERS MARKET National Good Food Network, 2013, FOOD HUB BENCHM STUD Nelson J, 2009, CLIMATE CHANGE AND GLOBAL POVERTY: A BILLION LIVES IN THE BALANCE, P223 North MJ, 2007, MANAGING BUSINESS CO PARRY M.L., 2007, CLIMATE CHANGE 2007, P23 Pathak SD, 2007, DECISION SCI, V38, P547, DOI 10.1111/j.1540-5915.2007.00170.x Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014 Tropp D., 2013, 4 ANN VIRG WOM C RIC TVERSKY A, 1974, SCIENCE, V185, P1124, DOI 10.1126/science.185.4157.1124 Wolf M. M., 2005, Journal of Food Distribution Research, V36, P192 NR 45 TC 5 Z9 5 U1 4 U2 26 PU SAGE PUBLICATIONS INC PI THOUSAND OAKS PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA SN 0018-7208 EI 1547-8181 J9 HUM FACTORS JI Hum. Factors PD FEB PY 2016 VL 58 IS 1 BP 58 EP 79 DI 10.1177/0018720815621173 PG 22 WC Behavioral Sciences; Engineering, Industrial; Ergonomics; Psychology, Applied; Psychology SC Behavioral Sciences; Engineering; Psychology GA DE5YK UT WOS:000370709100005 PM 26719449 DA 2019-04-09 ER PT J AU Arroyo, P Tommelein, ID Ballard, G AF Arroyo, Paz Tommelein, Iris D. Ballard, Glenn TI Selecting Globally Sustainable Materials: A Case Study Using Choosing by Advantages SO JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT LA English DT Article DE Decision-making; Material selection; Choosing by advantages (CBA); Sustainability; Design management; Supply chain management; Project planning and design AB Design teams must make numerous decisions in building design, including choosing materials. Lately, they have become more concerned about the social and environmental effects of their choices, in addition to the economic constraints. These concerns, in addition to the increasing offerings of construction materials and products and the engagement of more stakeholders, make decisions more complex. As decision complexity increases, so does the need to systematically use sound decision-making methods. However, in practice many decisions are made without a formal method or discussion, thereby often generating conflict and waste in the design process. Further, even if practitioners are looking for better decision-making methods, the literature does not provide enough support for them to choose the best method for this context. This research fills the literature gap and provides a systematic approach as well as practical advice for decision makers by demonstrating the application of a method, called choosing by advantages (CBA). CBA creates transparent and collaborative environments in which to make decisions. To illustrate the use of CBA, this paper provides a detailed example of choosing materials, in this case ceiling tiles, in a commercial interior design project considering global supply chain issues. This paper contributes to the body of knowledge by illustrating how to use CBA for (1)integrating multiple perspectives, (2)identifying relevant sustainability factors, (3)making transparent trade-offs, (4)documenting a decision rationale, (5)separating value from cost, (6)organizing location-dependent factors, and (7)incorporating supply chain issues. CBA is a method worth adding to the toolbox of design teams determined to chose globally sustainable materials. (C) 2015 American Society of Civil Engineers. C1 [Arroyo, Paz] Pontificia Univ Catolica Chile, Sch Engn, Dept Construct Engn & Management, Santiago 7820436, Chile. [Tommelein, Iris D.] Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA. [Tommelein, Iris D.] Univ Calif Berkeley, Project Prod Syst Lab, Berkeley, CA 94720 USA. [Ballard, Glenn] Univ Calif Berkeley, Project Prod Syst Lab, Dept Civil & Environm Engn, Berkeley, CA 94720 USA. RP Arroyo, P (reprint author), Pontificia Univ Catolica Chile, Sch Engn, Dept Construct Engn & Management, Santiago 7820436, Chile. EM parroyo@ing.puc.cl; tommelein@ce.berkeley.edu; ballard@ce.berkeley.edu RI Arroyo, Paz/B-6143-2016 OI Arroyo, Paz/0000-0002-8098-8172; Arroyo, Paz/0000-0003-0049-0823; Tommelein, Iris/0000-0002-9941-6596 FU CONICYT Ph.D. fellowship from Chilean government; Center for Sustainable Urban Development CEDEUS (FONDAP) [N15110020] FX This paper was supported in part by gifts made to the Project Production Systems Laboratory (P2SL). P. Arroyo was also supported by a CONICYT Ph.D. fellowship from the Chilean government and from the Center for Sustainable Urban Development CEDEUS (FONDAP N15110020). The authors would like to thank Erin Cubbison, Kirsten Ritchie, and designers from Gensler San Francisco for their support in this case study. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of P2SL, CONICYT, CEDEUS, or Gensler. CR Aguado A, 2012, J CONSTR ENG M, V138, P268, DOI 10.1061/(ASCE)CO.1943-7862.0000419 Akadiri PO, 2013, AUTOMAT CONSTR, V30, P113, DOI 10.1016/j.autcon.2012.10.004 American Society for Testing and Materials, 2012, D103712 ASTM American Society for Testing and Materials (ASTM), 2012, D327312 ASTM Ariaratnam ST, 2013, J CONSTR ENG M, V139, DOI 10.1061/(ASCE)CO.1943-7862.0000763 Armstrong, 2012, OPT CEIL PAN HIGH PE Arroyo P., 2014, P 22 ANN C INTL GROP, P401 Arroyo P., 2014, J CONSTR ENG MANAGE, DOI 10.1061/(ASCE)CO.1943-7862.0000915 Arroyo P., 2012, P 20 ANN C INT GROUP Arroyo P., 2014, THESIS U CALIFORNIA Arroyo P., 2013, P 21 ANN CONF INTL G, P309 Bakhoum E. S., 2012, J CONSTR ENG MANAGE, P110, DOI DOI 10.1061/(ASCE)C0.1943-7862.0000412 Balali V, 2014, J COMPUT CIVIL ENG, V28, P297, DOI 10.1061/(ASCE)CP.1943-5487.0000254 Ballard G., 2000, P 8 ANN C INT GROUP, P17 Belton V., 2002, MULTIPLE CRITERIA DE, P372 Cariaga I, 2007, J CONSTR ENG M ASCE, V133, P761, DOI 10.1061/(ASCE)0733-9364(2007)133:10(761) Cubbison E., 2012, PRODUCT SELECTION IN Fischer M., 2011, J CONSTR ENG MANAGE, P751, DOI [10.1061/(ASCE)CO.1943-7862.0000304, DOI 10.1061/(ASCE)C0.1943-7862] Flyvbjerg B., 2011, SAGE HDB QUALITATIVE, V4, P301 Flyvbjerg Bent, 2006, HDB ORG STUDIES, P370 Grant E., 2007, THESIS VIRGINIA POLY, P300 Guitouni A, 1998, EUR J OPER RES, V109, P501, DOI 10.1016/S0377-2217(98)00073-3 Hartmann T, 2011, J CONSTR ENG M ASCE, V137, P1134, DOI 10.1061/(ASCE)CO.1943-7862.0000389 International Living Future Institute, 2012, LIV BUILD CHALL 2 1 Kabir G, 2014, STRUCT INFRASTRUCT E, V10, P1176, DOI 10.1080/15732479.2013.795978 Keeney R.L., 1976, DECISION MULTIPLE OB Koga J., 2012, CBA WORKSH MOD 1 MOD Koskela L., 2009, P 17 ANN C INT GROUP, P295 Nguyen H., 2009, P 17 ANN C INT GROUP, P371 Oehlberg L, 2010, INT J ENG EDUC, V26, P489 Pan W, 2012, J CONSTR ENG M ASCE, V138, P1239, DOI 10.1061/(ASCE)CO.1943-7862.0000543 Parrish K., 2009, P 17 ANN C INT GROUP, P501 Reza B, 2011, CONSTR BUILD MATER, V25, P2053, DOI 10.1016/j.conbuildmat.2010.11.041 Rodriguez-Nikl T., 2011, VULNERABILITY UNCERT, P222 Rogers M., 2000, CONSTRUCTION MANAGEM, V18, P333, DOI DOI 10.1080/014461900370690 Roy B, 1974, REV ECON POLIT, V84, P1 Saaty TL, 1980, ANAL HIERARCHY PROCE, P287 Suhr J., 1999, CHOOSING ADVANTAGES, P293 Tam CM, 2004, J CONSTR ENG M, V130, P827, DOI 10.1061/(ASCE)0733-9364(2004)130:6(827) Thanopoulos T., 2012, THESIS U CALIFORNIA U.S. Green Building Council, 2013, LEED V4 BD C NEW CON U.S. Green Building Council, 2009, LEED 2009 NEW CONSTR World Commission on Environment and Development, 1987, OUR COMMON FUTURE Yin R.K., 1994, CASE STUDY RES DESIG, P171 NR 44 TC 6 Z9 6 U1 1 U2 39 PU ASCE-AMER SOC CIVIL ENGINEERS PI RESTON PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA SN 0733-9364 EI 1943-7862 J9 J CONSTR ENG M JI J. Constr. Eng. Manage. PD FEB PY 2016 VL 142 IS 2 AR 05015015 DI 10.1061/(ASCE)CO.1943-7862.0001041 PG 10 WC Construction & Building Technology; Engineering, Industrial; Engineering, Civil SC Construction & Building Technology; Engineering GA DD7BP UT WOS:000370079000007 DA 2019-04-09 ER PT J AU Schaffartzik, A Mayer, A Eisenmenger, N Krausmann, F AF Schaffartzik, Anke Mayer, Andreas Eisenmenger, Nina Krausmann, Fridolin TI Global patterns of metal extractivism, 1950-2010: Providing the bones for the industrial society's skeleton SO ECOLOGICAL ECONOMICS LA English DT Article DE Material flow accounting; Mining; Metals; Trade; Extractivism ID ENVIRONMENTAL JUSTICE; MINING CONFLICTS; TRENDS; SUSTAINABILITY; TRANSITION; INDICATORS; AUSTRALIA; MOVEMENTS; MINERALS; ECONOMY AB During the second half of the 20th century, mining expanded globally and must be considered one of the dominant forms of human intervention into the environment. Metals are strategically important resources for industrialized and industrializing societies. In 2010, the five BRICS countries (Brazil, the Russian Federation, India, China, and South Africa) consumed 54% of the metals mined globally. The analysis of material flow data offers a biophysical perspective on mining as a resource frontier and allows for the identification of patterns in global metals extraction and trade. Since 1950, metal extraction has shifted from the early industrializing countries into the emerging economies. In 2010, only 6% of metals mined stemmed from Europe or North America while 76% were extracted in four countries (Australia, China, India, and Brazil). In the countries hosting large-scale mining operations, socio-ecological pressure ensues the so-called extractivist development path is common. High rates of metal deposit depletion mean that today's metal extractors and exporters may depend on imports of metal from anthropogenic deposits (stocks in buildings, infrastructure, and durable products) in the future. The extractivist path and the shifting of metals from natural to anthropogenic deposits are both associated with potential for conflict. (C) 2016 Elsevier B.V. All rights reserved. C1 [Schaffartzik, Anke; Mayer, Andreas; Eisenmenger, Nina; Krausmann, Fridolin] Alpen Adria Univ Klagenfurt Graz Wien, Inst Social Ecol SEC, Schottenfeldgasse 29, A-1070 Vienna, Austria. RP Schaffartzik, A (reprint author), Alpen Adria Univ Klagenfurt Graz Wien, Inst Social Ecol SEC, Schottenfeldgasse 29, A-1070 Vienna, Austria. EM anke.schaffartzik@aau.at RI Schaffartzik, Anke/E-6733-2015; Krausmann, Fridolin/N-1918-2015 OI Schaffartzik, Anke/0000-0002-0284-6099; Mayer, Andreas/0000-0002-6975-7082; Vienna, Social Ecology/0000-0003-1345-5461; Krausmann, Fridolin/0000-0002-9995-2372 FU Austrian Science Fund (FWF) [P21012, P27590]; DOC-team fellowship of the Austrian Academy of Sciences (OAW) at the Institute of Social Ecology (SEC) FX The article was researched and written as part of the project Environmental Justice Organizations, Liabilities and Trade (EJOLT: FP7-Science in Society-2010-1). Research on this article was funded by the Austrian Science Fund (FWF), projects P21012 and P27590.; Anke Schaffartzik was the recipient of a DOC-team fellowship of the Austrian Academy of Sciences (OAW) at the Institute of Social Ecology (SEC). CR Acosta A, 2013, DEV ALTERNATIVE VISI, P61 Adler Rebecca A., 2007, EC PEACE SECURITY J, V2, P32, DOI DOI 10.15355/EPSJ.2.2.33 Auty Richard M., 2004, RESOURCE ABUNDANCE E Ayres RU, 2007, ECOL ECON, V61, P115, DOI 10.1016/j.ecolecon.2006.02.011 Bebbington A., 2011, SOCIAL CONFLICT EC D Bebbington A, 2008, DEV CHANGE, V39, P887, DOI 10.1111/j.1467-7660.2008.00517.x Bebbington A, 2008, MT RES DEV, V28, P190, DOI 10.1659/mrd.1039 Berry P., 2010, SYDNEY MORNING HERAL BGS, 2013, UK WORLD MIN STAT BGS, 2007, COPP MIN PROF Bigum M, 2012, J HAZARD MATER, V207, P8, DOI 10.1016/j.jhazmat.2011.10.001 Bridge G, 2004, ANNU REV ENV RESOUR, V29, P205, DOI 10.1146/annurev.energy.28.011503.163434 Bridge G, 2000, GEOFORUM, V31, P237, DOI 10.1016/S0016-7185(99)00046-9 Bunker Stephen, 1985, UNDERDEVELOPING AMAZ Burchardt HJ, 2014, THIRD WORLD Q, V35, P468, DOI 10.1080/01436597.2014.893488 Campbell Bonnie, 2006, MINERALS ENERGY RAW, V21, P31, DOI DOI 10.1080/14041040600575813 Conde M, 2012, GLOBAL ENVIRON CHANG, V22, P596, DOI 10.1016/j.gloenvcha.2012.03.007 Craig J. R., 2011, EARTH RESOURCES AND Dudka S, 1997, J ENVIRON QUAL, V26, P590, DOI 10.2134/jeq1997.00472425002600030003x Dwyer A., 2011, RBA B JUNE QUARTER 2 Eurostat, 2012, EC WID MAT FLOW ACC Fischer-Kowalski M, 2011, J IND ECOL, V15, P855, DOI 10.1111/j.1530-9290.2011.00366.x Giljum S, 2004, J IND ECOL, V8, P241, DOI DOI 10.1162/1088198041269418 Giljum S, 2014, RESOURCES-BASEL, V3, P319, DOI 10.3390/resources3010319 Gordon RB, 2006, P NATL ACAD SCI USA, V103, P1209, DOI 10.1073/pnas.0509498103 Graedel TE, 2011, ANNU REV MATER RES, V41, P323, DOI 10.1146/annurev-matsci-062910-095759 Graedel TE, 2010, P NATL ACAD SCI USA, V107, P20905, DOI 10.1073/pnas.1011019107 Graedel T. E., 2013, ON THE MATERIALS BAS Group A-h W, 2010, CRIT RAW MAT EU Gudynas E, 2010, NEW EXTRACTIVISM 21 Hageliiken C., 2010, COMPLEX LIFE CYCLES HAGLUND DAN, 2011, BLESSING CURSE RISE HAGLUND DG, 1986, POLIT GEOGR QUART, V5, P221, DOI 10.1016/0260-9827(86)90035-2 Harvey DI, 2010, REV ECON STAT, V92, P367, DOI 10.1162/rest.2010.12184 Hilson G., 2002, LAND USE POLICY, V19, P65 Hilson G, 2007, POLIT GEOGR, V26, P98, DOI 10.1016/j.polgeo.2006.09.001 Holden WN, 2005, PAC REV, V18, P417, DOI 10.1080/09512740500189199 Horowitz LS, 2009, POLIT GEOGR, V28, P248, DOI 10.1016/j.polgeo.2009.07.001 InternationalCouncil on Mining andMetals (ICMM), 2012, TRENDS MIN MET IND M Jenkins H, 2006, J CLEAN PROD, V14, P271, DOI 10.1016/j.jclepro.2004.10.004 Jenkins H., 2004, CORP SOC RESP ENV MA, V11, P23, DOI DOI 10.1002/CSR.50 Kleijn Rene, 2012, THESIS U LEIDEN NETH Kohl B, 2012, POLIT GEOGR, V31, P225, DOI 10.1016/j.polgeo.2012.03.002 Krausmann F, 2009, ECOL ECON, V68, P2696, DOI 10.1016/j.ecolecon.2009.05.007 Krausmann F, 2008, J IND ECOL, V12, P637, DOI 10.1111/j.1530-9290.2008.00065.x Lambert T., 2012, NEUE EXTRAKTIVISMUS Loy C., 2013, SOCIAL ECOLOGY WORKI Martinez-Alier J, 2001, J HAZARD MATER, V86, P153, DOI 10.1016/S0304-3894(01)00252-7 Martinez-Alier J., 2014, INDI LOGS SPAN J IND, V1, P51 Mudd G. M., 2010, LIM GROWTH FIN MIN R Mudd GM, 2007, ENVIRON SCI POLICY, V10, P629, DOI 10.1016/j.envsci.2007.04.006 Mudd GM, 2007, ORE GEOL REV, V32, P227, DOI 10.1016/j.oregeorev.2006.05.005 Mudd GM, 2010, RESOUR POLICY, V35, P98, DOI 10.1016/j.resourpol.2009.12.001 Muradian R, 2001, ECOL ECON, V36, P281, DOI 10.1016/S0921-8009(00)00229-9 Muradian R, 2012, GLOBAL ENVIRON CHANG, V22, P559, DOI 10.1016/j.gloenvcha.2012.03.004 Norgate T, 2010, J CLEAN PROD, V18, P266, DOI 10.1016/j.jclepro.2009.09.020 Norgate TE, 2007, J CLEAN PROD, V15, P838, DOI 10.1016/j.jclepro.2006.06.018 O zkaynak B, 2012, 7 EJOLT Price Waterhouse Coopers, 2012, MIN 2011 GAM HAS CHA Price Waterhouse Coopers, 2014, MIN CONF CRIS Prior T, 2012, GLOBAL ENVIRON CHANG, V22, P577, DOI 10.1016/j.gloenvcha.2011.08.009 Reck BK, 2012, SCIENCE, V337, P690, DOI 10.1126/science.1217501 Rogich D.G., 2009, UNPUB Rosser A, 2006, POLITICAL EC RESOURC Ruiz Marrero Carmelo, 2011, NEW LATIN AM PROGRES Schaffartzik A, 2014, GLOBAL ENVIRON CHANG, V26, P87, DOI 10.1016/j.gloenvcha.2014.03.013 Schandl H, 2008, J IND ECOL, V12, P669, DOI 10.1111/j.1530-9290.2008.00075.x Steffen W., 2015, ANTHROPOCENE REV Steinberger JK, 2010, ECOL ECON, V69, P1148, DOI 10.1016/j.ecolecon.2009.12.009 Sturmer M., 2010, LET GOOD TIMES ROLL Svampa M., 2013, CONSENSO COMMODITIES, P244 Temper L, 2013, ECOL ECON, V96, P79, DOI 10.1016/j.ecolecon.2013.09.011 Trigger D., 2005, AC SOC SCI AUSTR WOR, P41 UNSD, 2013, UN COMM TRAD STAT DA Urkidi L, 2011, GEOFORUM, V42, P683, DOI 10.1016/j.geoforum.2011.06.003 Urkidi L, 2010, ECOL ECON, V70, P219, DOI 10.1016/j.ecolecon.2010.05.004 USGS, 2015, MIN COMM SUMM COPP USGS, 2014, MIN COMM SUMM IR OR USGS, 2013, MIN INF Weisz H., 2007, EC WIDE MAT FLOW ACC Wiedmann T.O., 2014, ENV EC POLICY STUD, P1 [Working Group on Geological Stocks of Metals UNEP international panel on sustainable resource management], 2011, EST LONG RUN GEOL ST World Bank, 2006, IS WEALTH NAT MEAS C NR 83 TC 16 Z9 16 U1 0 U2 24 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-8009 EI 1873-6106 J9 ECOL ECON JI Ecol. Econ. PD FEB PY 2016 VL 122 BP 101 EP 110 DI 10.1016/j.ecolecon.2015.12.007 PG 10 WC Ecology; Economics; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology; Business & Economics GA DC8HO UT WOS:000369460700011 DA 2019-04-09 ER PT J AU Schleifer, P AF Schleifer, Philip TI Private Governance Undermined: India and the Roundtable on Sustainable Palm Oil SO GLOBAL ENVIRONMENTAL POLITICS LA English DT Article ID LAND AB Are emerging markets undermining private environmental governance? In the past, most trade in agricultural commodities occurred between developed and developing countries, but in recent years the volume of South-South trade has increased significantly. The booming demand from emerging markets for food, feed, and fiber is now a key driver behind agricultural expansion, causing large-scale deforestation and biodiversity loss in the tropics. By examining the case of palm oil, this article argues that existing private governance institutions are not well equipped to deal with this crisis. They continue to operate on the basis of a North-South trade model, trying to leverage the market power of big-brand companies to achieve their sustainability goals. However, the effectiveness of this mechanism is increasingly undermined by the rise of South-South trade and the different structure and institutional context of emerging market value chains. FU Robert Schuman Centre for Advanced Studies of the European University Institute FX This article has benefited from financial support of the Robert Schuman Centre for Advanced Studies of the European University Institute. CR Abbott K. W., 2009, POLITICS GLOBAL REGU, P44 Bartley T., 2003, POLIT SOC, V31, P453 Bernstein S, 2007, REGUL GOV, V1, P347, DOI 10.1111/j.1748-5991.2007.00021.x Cashore B., 2004, GOVERNING MARKETS FO Cattaneo O, 2010, GLOBAL VALUE CHAINS IN A POSTCRISIS WORLD: A DEVELOPMENT PERSPECTIVE, P1, DOI 10.1596/978-0-8213-8499-2 Centre for Responsible Business, 2014, RESP BUS PRACT IND P Chari A, 2012, WORLD ECON, V35, P79, DOI 10.1111/j.1467-9701.2011.01386.x Clapp J, 2009, FOOD HEALTH ENVIRON, V4, P1 Clapp J., 2012, FOOD Clay Jason, 2010, TED TALK 0710 Dauvergne P, 2012, GLOBAL ENVIRON CHANG, V22, P36, DOI 10.1016/j.gloenvcha.2011.10.007 Daviron Benoit, 2005, COFFEE PARADOX GLOBA Falkner R., 2003, GLOBAL ENVIRON POLIT, V3, P72, DOI DOI 10.1162/152638003322068227 FAO, 2011, STAT WORLDS LAND WAT FAO, 2014, FAO WORK PAP SER, V14 FAO (Food and Agriculture Organization), 2012, 1203 FAO ESA Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772 FUCHS D., 2010, BUSINESS POLITICS, V12, P5 Gereffi G, 2005, REV INT POLIT ECON, V12, P78, DOI 10.1080/09692290500049805 Gibbs HK, 2010, P NATL ACAD SCI USA, V107, P16732, DOI 10.1073/pnas.0910275107 GREEN J. F., 2014, RETHINKING PRIVATE A Greenpeace, 2012, FRYING FOR IND US PA Gulbrandsen L H, 2004, GLOBAL ENVIRON POLIT, V4, P75, DOI DOI 10.1162/152638004323074200 Hansen MC, 2013, SCIENCE, V342, P850, DOI 10.1126/science.1244693 Hsu A., 2014, 2014 ENV PERFORMANCE International Trade Centre, 2015, INT TRAD GOODS EXP 2 Kaplinsky R, 2011, WORLD DEV, V39, P1177, DOI 10.1016/j.worlddev.2010.12.007 Lockeretz W, 2007, ORGANIC FARMING: AN INTERNATIONAL HISTORY, P1, DOI 10.1079/9780851998336.001 Mahbubani K, 2008, NEW ASIAN HEMISPHERE March JG, 1998, INT ORGAN, V52, P943, DOI 10.1162/002081898550699 Mundi Index, 2014, PALM OIL IMP 1000 MT Nadvi K, 2014, OXF DEV STUD, V42, P137, DOI 10.1080/13600818.2014.909400 O'Neil J., 2001, 66 GOLDM SACHS OECD/FAO (Organisation for Economic Co-operation and Development/Food and Agriculture Organization of the United Nations), 2013, AGR OUTL 2013 2022 H Potoski M., 2009, VOLUNTARY PROGRAMS C Potts J., 2014, STATE SUSTAINABILITY Roundtable on Sustainable Palm Oil (RSPO), 2014, MEMB RSPO, 2014, SUPPL CHAIN CERT HOL RSPO, 2013, ACOP DIG 2012 2013 S RSPO, 2013, OIL PALM LAND US CHA Sasser EN, 2006, BUS POLIT, V8, DOI 10.2202/1469-3569.1163 Schleifer P, 2013, REGUL GOV, V7, P533, DOI 10.1111/rego.12037 Schleifer Philip, 2015, RSCAS WORKING PAPERS Schleifer Philip, 2014, THESIS LONDON SCH EC Singh Kalpana, 2014, J BUSINESS MANAGEMEN, V16, P72 Stallings B., 1995, GLOBAL CHANGE REGION, P100 Vorley B., 2003, FOOD INC CORPORATE C Wicke B, 2011, LAND USE POLICY, V28, P193, DOI 10.1016/j.landusepol.2010.06.001 WTO, 2013, INT TRAD STAT 2013 WWF, 2013, PALM OIL MARK SUST I WWF, 2004, SOM THOUGHTS LESS LE NR 51 TC 17 Z9 17 U1 0 U2 19 PU MIT PRESS PI CAMBRIDGE PA ONE ROGERS ST, CAMBRIDGE, MA 02142-1209 USA SN 1526-3800 EI 1536-0091 J9 GLOBAL ENVIRON POLIT JI Glob. Environ. Polit. PD FEB PY 2016 VL 16 IS 1 BP 38 EP 58 DI 10.1162/GLEP_a_00335 PG 21 WC Environmental Studies; International Relations; Political Science SC Environmental Sciences & Ecology; International Relations; Government & Law GA DC6FC UT WOS:000369314200004 DA 2019-04-09 ER PT J AU Jolly, S Raven, RPJM AF Jolly, Suyash Raven, R. P. J. M. TI Field configuring events shaping sustainability transitions? The case of solar PV in India SO TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE LA English DT Article DE Sustainability transitions; Field configuring events; India; Solar PV ID STRATEGIC NICHE MANAGEMENT; INSTITUTIONAL ENTREPRENEURSHIP; ORGANIZATIONAL FIELDS; TECHNOLOGICAL-CHANGE; TOURNAMENT RITUALS; HIGH-TECH; POLICY; CONFERENCES; INNOVATION; DYNAMICS AB The sustainability transitions literature has emphasized the analytical challenges in understanding the trade-offs in protecting niche innovations. This paper builds on an emerging body of literature that argues that the concept of field-configuring events (FCE) is useful for understanding such trade-offs. We explore how this concept can be fruitful for analysis of niche protection in solar PV technology in India. The paper finds two important focal points of debate: (1) supporting domestic capabilities to improve competitiveness; and (2) using public financial mechanisms efficiently. Our research suggests that, whilst FCEs indeed seem an appropriate venue for investigating on-going debates in niche protection, it is challenging to develop causal relationships between these events and their wider, field-level influence. As such, the paper reflects conceptually on the usefulness of the notion of FCEs as temporally and spatially bounded venues for analysis of emerging niche trajectories and their politics. (C) 2015 Elsevier Inc. All rights reserved. C1 [Jolly, Suyash; Raven, R. P. J. M.] Eindhoven Univ Technol, Dept Ind Engn & Innovat Sci, POB 513, NL-5600 MB Eindhoven, Netherlands. RP Jolly, S (reprint author), Eindhoven Univ Technol, Dept Ind Engn & Innovat Sci, POB 513, NL-5600 MB Eindhoven, Netherlands. EM S.Jolly@tue.nl; r.p.j.m.raven@tue.nl RI Raven, Rob/C-3048-2017; Jolly, Suyah/G-1989-2017 OI Raven, Rob/0000-0002-6330-0831; Jolly, Suyah/0000-0001-9771-930X FU Netherlands Organization for Scientific Research NWO-WOTRO program FX This research has been carried out in the context of the NWO-WOTRO Integrated Programme on Experimenting for Sustainability in India and Thailand: A transitions perspective on sustainable electricity and mobility initiatives (W 01.65.330.00). We would like to thank the Netherlands Organization for Scientific Research NWO-WOTRO program for the kind financial support for this research. CR Altenburg T, 2013, ENERG POLICY, V59, P866, DOI 10.1016/j.enpol.2013.04.055 Anand N, 2008, J MANAGE STUD, V45, P1036, DOI 10.1111/j.1467-6486.2008.00782.x Anand N, 2004, ACAD MANAGE J, V47, P59, DOI 10.2307/20159560 Balachander G., 2014, FIGHT PLACE SUN Banerjee SB, 2012, ORGAN STUD, V33, P1761, DOI 10.1177/0170840612464609 Bathelt H, 2015, REG STUD, V49, P985, DOI 10.1080/00343404.2013.783691 Boon WPC, 2014, RES POLICY, V43, P792, DOI 10.1016/j.respol.2014.01.005 Bridge to India, 2014, BEEH EL SHOULD IND D Bridge to India, 2013, IND SOL COMP Bridge to India, 2012, IND SOL COMP Byrne R., 2014, 61 STEPS Callon Michel, 2009, ACTING UNCERTAIN WOR Caniels MCJ, 2008, TECHNOL ANAL STRATEG, V20, P245, DOI 10.1080/09537320701711264 CEEW NRDC, 2012, LAYING FDN BRIGHT FU CEEW & NRDC, 2014, REEN IND SOL EN MARK Chaurey A, 2001, PROG PHOTOVOLTAICS, V9, P235, DOI 10.1002/pip.370 CSE, 2013, CTR SCI ENV COMM DRA CSE, 2013, CONC NOT C FUT SOL E CSE, 2013, FUT SOL EN SEEMS BLE Delgado NA, 2014, J ORGAN ETHNOGR, V3, P43, DOI 10.1108/JOE-11-2012-0050 Deshmukh R, 2012, RENEW SUST ENERG REV, V16, P5188, DOI 10.1016/j.rser.2012.04.020 Dobusch L, 2014, TECHNOL FORECAST SOC, V83, P24, DOI 10.1016/j.techfore.2013.01.009 Farla J, 2012, TECHNOL FORECAST SOC, V79, P991, DOI 10.1016/j.techfore.2012.02.001 Flanagan K, 2011, RES POLICY, V40, P702, DOI 10.1016/j.respol.2011.02.005 Fuenfschilling L, 2014, RES POLICY, V43, P772, DOI 10.1016/j.respol.2013.10.010 Ganesan K., 2014, ASSESSING GREEN IND Garud R., 2011, RUMINATIONS PROCESS Garud R, 2008, J MANAGE STUD, V45, P1061, DOI 10.1111/j.1467-6486.2008.00783.x Garud R, 2007, ORGAN STUD, V28, P957, DOI 10.1177/0170840607078958 Garud R, 2014, RES POLICY, V43, P60, DOI 10.1016/j.respol.2013.07.007 Garud R, 2012, RES POLICY, V41, P980, DOI 10.1016/j.respol.2011.07.009 Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8 Ghosh Arunabha, 2012, GOVERNING CLEAN ENER Glynn MA, 2008, J MANAGE STUD, V45, P1117, DOI 10.1111/j.1467-6486.2008.00785.x Hallegate S., 2013, GREEN IND POLICIES W Hamberg J., 2012, DOWN EARTH Hardy C, 2010, ACAD MANAGE J, V53, P1365, DOI 10.5465/AMJ.2010.57318384 Hekkert MP, 2007, TECHNOL FORECAST SOC, V74, P413, DOI 10.1016/j.techfore.2006.03.002 Henn S, 2015, GEOFORUM, V58, P104, DOI 10.1016/j.geoforum.2014.10.015 Hoffman AJ, 2001, ORGAN SCI, V12, P414, DOI 10.1287/orsc.12.4.414.10639 Hoppmann J, 2014, RES POLICY, V43, P1422, DOI 10.1016/j.respol.2014.01.014 Jain S, 2007, IND CORP CHANGE, V16, P535, DOI 10.1093/icc/dtm017 Johnson O., 2013, 112013 GERM DEV I Kemp R, 1998, TECHNOL ANAL STRATEG, V10, P175, DOI 10.1080/09537329808524310 Kemp R., 2001, PATH DEPENDENCE CREA Kuntze J.-C., 2013, LOCAL CONTENT REQUIR Lampel J., 2013, ACAD REFLECTS STREAM Lampel J, 2008, J MANAGE STUD, V45, P1025, DOI 10.1111/j.1467-6486.2008.00787.x Lawrence TB, 2013, ORGAN STUD, V34, P1023, DOI 10.1177/0170840613495305 Lewis JI, 2014, GLOBAL ENVIRON POLIT, V14, P10, DOI 10.1162/CLEP_a_00255 Mair J, 2014, ACAD MANAGE J, V57, P1174, DOI 10.5465/amj.2012.0305 Markard J, 2012, RES POLICY, V41, P955, DOI 10.1016/j.respol.2012.02.013 McInerney PB, 2008, J MANAGE STUD, V45, P1089, DOI 10.1111/j.1467-6486.2008.00784.x Meyer AD, 2005, ORGAN SCI, V16, P456, DOI 10.1287/orsc.1050.0135 Mische A, 2014, THEOR SOC, V43, P437, DOI 10.1007/s11186-014-9226-3 MNRE, 2014, ACH MNRE, 2014, GUID SEL 15 IN PRESS Mollering G., 2010, 102 MPIFG Newig J., 2007, J ENVIRON POL PLAN, V9, P185 Nill J, 2009, RES POLICY, V38, P668, DOI 10.1016/j.respol.2009.01.011 Paliwal A., 2013, SOLAR MISSION PHASE Pesch U, 2015, TECHNOL FORECAST SOC, V90, P379, DOI 10.1016/j.techfore.2014.05.009 Quitzow R, 2015, RES POLICY, V44, P233, DOI 10.1016/j.respol.2014.09.003 Ratinen M, 2015, ENERGY RES SOC SCI, V6, P136, DOI 10.1016/j.erss.2015.02.004 Raven R., 2015, NICHE CONST IN PRESS Rip A, 2003, SOC STUD SCI, V33, P419, DOI 10.1177/03063127030333006 Rodrik D., 2013, EC GREEN GROWTH WORK Romijn HA, 2011, DEV POLICY REV, V29, P359, DOI 10.1111/j.1467-7679.2011.00536.x Romijn HA, 2011, RES POLICY, V40, P618, DOI 10.1016/j.respol.2011.01.005 Schmitz H., 2013, 418 IDS Schot J, 2008, TECHNOL ANAL STRATEG, V20, P537, DOI 10.1080/09537320802292651 Schuler E., 2015, OXFORD HDB CREATIVE, P284 Schussler E, 2015, IND INNOV, V22, P165, DOI 10.1080/13662716.2015.1038098 Schussler E, 2014, ACAD MANAGE J, V57, P140, DOI 10.5465/amj.2011.0812 Sen A., 2014, WHY DECISION NOT LEV Sharma NK, 2012, RENEW SUST ENERG REV, V16, P933, DOI 10.1016/j.rser.2011.09.014 Shove E, 2007, ENVIRON PLANN A, V39, P763, DOI 10.1068/a39310 Smith A, 2014, TECHNOL FORECAST SOC, V81, P115, DOI 10.1016/j.techfore.2013.02.001 Smith A, 2012, RES POLICY, V41, P1025, DOI 10.1016/j.respol.2011.12.012 Spratt S., 2014, WHAT DRIVES WIND SOL Stake R.E., 2010, STUDYING THINGS WORK Stephenson S., 2013, ADDRESSING LOCAL CON Thakkar M., 2013, CALL REFORMS BOOST S Thornton P. H, 2012, I LOGICS PERSPECTIVE Ulmanen JH, 2009, RENEW SUST ENERG REV, V13, P1406, DOI 10.1016/j.rser.2008.10.001 van der Belt H, 1987, SOCIAL CONSTRUCTION, P159 Verbong G, 2010, ENVIRON SCI POLICY, V13, P272, DOI 10.1016/j.envsci.2010.01.004 Woods L., 2014, INDIA BRACES ANTIDUM Wooten M, 2008, SAGE HDB ORG I, P130, DOI DOI 10.4135/9781849200387 World Bank, 2013, PAV WAY TRANSF FUT L Zilber TB, 2007, ORGAN STUD, V28, P1035, DOI 10.1177/0170840607078113 Zilber TB, 2014, J ORGAN ETHNOGR, V3, P96, DOI 10.1108/JOE-11-2012-0043 Zilber TB, 2011, ORGAN SCI, V22, P1539, DOI 10.1287/orsc.1100.0611 NR 93 TC 5 Z9 5 U1 2 U2 21 PU ELSEVIER SCIENCE INC PI NEW YORK PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA SN 0040-1625 EI 1873-5509 J9 TECHNOL FORECAST SOC JI Technol. Forecast. Soc. Chang. PD FEB PY 2016 VL 103 BP 324 EP 333 DI 10.1016/j.techfore.2015.08.015 PG 10 WC Business; Regional & Urban Planning SC Business & Economics; Public Administration GA DC4QY UT WOS:000369206600028 DA 2019-04-09 ER PT J AU Foster, S Wiswedel, S Vincent, A AF Foster, Sarah Wiswedel, Stefan Vincent, Amanda TI Opportunities and challenges for analysis of wildlife trade using CITES data - seahorses as a case study SO AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS LA English DT Article DE ocean; coastal; biodiversity; sustainability; protected species; fish; fishing ID INTERNATIONAL-TRADE; EXTINCTION RISK; MARINE FISHES; CONSERVATION; SYNGNATHIDAE; IMPACTS; VIETNAM; BIOLOGY; AFRICA; CHINA AB 1. In principle, the database generated by the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) offers an unparalleled opportunity to analyse trade in species of conservation concern. 2. The value of the database is assessed in the context of trade in 47 species of seahorse (Hippocampus spp.), all of which are included on CITES Appendix II. This listing requires that all 180 Parties to CITES (member Parties) limit exports to levels that do not damage wild populations, ensure they are obtained legally, and report their trade to CITES. 3. An evident need for greater universal compliance with CITES reporting requirements was identified. The most glaring problem was a substantial mismatch in species and volumes between export records and import records, indicating that neither dataset is complete nor reliable. 4. The evaluation also showed that Parties should increase compliance with CITES requirements to record all trade shipments, provide units for exports (e.g. individuals, kilograms) and identify exported taxa to species, perhaps supported by automated checking of entries. 5. The challenges with the CITES trade database were more evident for the global trade in dried seahorses than the smaller and more easily-tracked trade in live seahorses. Nonetheless, CITES' data from 2004-2011 revealed a seahorse trade involving millions of animals, tens of species, and scores of Parties. 6. CITES data have also proven invaluable in supporting CITES reviews of how Parties are implementing the Convention for seahorses, and in generating consequent action for their conservation. Copyright (c) 2014 John Wiley & Sons, Ltd. C1 [Foster, Sarah; Wiswedel, Stefan; Vincent, Amanda] Univ British Columbia, Fisheries Ctr, Project Seahorse, Vancouver, BC V5Z 1M9, Canada. RP Foster, S (reprint author), 2202 Main Mall, Vancouver, BC V6R 2N6, Canada. EM s.foster@fisheries.ubc.ca FU Gardiner/Langar Foundations; Guylian Chocolates Belgium; John G. Shedd Aquarium in Chicago FX This is a contribution from Project Seahorse. We thank all other contributors to this study including Melissa Evanson, Chrissy Czembor and Regina Bestbier, and the CITES Scientific and Management Authorities from the many CITES Parties involved. The Authorities' assistance with respect to clarifying records in the CITES Trade Database was invaluable. We particularly want to recognize colleagues at UNEP-WCMC who curate the CITES Trade Database, and Pablo Sinovas at UNEP-WCMC for his expert input and edits to the manuscript. The manuscript was further improved by comments from an anonymous reviewer. Funding for this report was provided in part by Gardiner/Langar Foundations, and an anonymous donor. We also thank Guylian Chocolates Belgium and the John G. Shedd Aquarium in Chicago for their support through our longstanding partnerships for marine conservation. CR Baum JK, 2005, ENVIRON CONSERV, V32, P305, DOI 10.1017/S0376892905002481 Baum JK, 2003, FISH B-NOAA, V101, P721 Blundell AG, 2005, CONSERV BIOL, V19, P2020, DOI 10.1111/j.1523-1739.2005.00253.x Brooks EGE, 2010, BIOL CONSERV, V143, P2808, DOI 10.1016/j.biocon.2010.07.030 Cheung SM, 2006, AQUAT CONSERV, V16, P751, DOI 10.1002/aqc.803 CITES, 2014, CITES WIK ID MAN CITES, 2014, CONV INT TRAD END SP CITES, 2006, ANN REP GUID PROP SU Convention of International Trade in Endangered Species of Wild Fauna and Flora (CITES), 2014, HOW CITES WORKS Costello C, 2012, SCIENCE, V338, P517, DOI 10.1126/science.1223389 Dickson B., 2002, NATURAL RESOURCE PER Food and Agriculture Organization of the United Nations, 2012, STAT WORLD FISH AQ 2 Foster SJ, 2010, MAR POLICY, V34, P437, DOI 10.1016/j.marpol.2009.09.010 Foster S J, 2011, FISHERIES CTR RES RE, V19 FOSTER SJ, 2004, J FISH BIOL, V64, P1 Giles BG, 2006, HUMAN EXPLOITATION B, P157 Ginsberg J, 2002, CONSERV BIOL, V16, P1184, DOI 10.1046/j.1523-1739.2002.16504.x Goh TY, 2007, ORYX, V41, P97, DOI 10.1017/S003060530700155X Hutchings JA, 2001, CAN J FISH AQUAT SCI, V58, P108, DOI 10.1139/cjfas-58-1-108 IUCN, 2013, IUCN RED LIST THREAT Kaczynski VM, 2000, COAST MANAGE, V28, P235, DOI 10.1080/089207500408647 Kievit Henriette, 2000, ENDANGERED SPECIES T, P88 Koldewey HJ, 2010, AQUACULTURE, V302, P131, DOI 10.1016/j.aquaculture.2009.11.010 Lourie SA, 2004, GUIDE IDENTIFICATION Martin R. B., 2000, ENDANGERED SPECIES T, P29 Martin-Smith KM, 2006, ORYX, V40, P141, DOI 10.1017/S003060530600010X McPherson JM, 2004, AQUAT CONSERV, V14, P521, DOI 10.1002/aqc.629 Meeuwig JJ, 2006, FISH RES, V81, P149, DOI 10.1016/j.fishres.2006.07.008 Nijman V, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017825 Nijman V, 2010, BIODIVERS CONSERV, V19, P1963, DOI 10.1007/s10531-010-9814-0 Nijman V, 2010, BIODIVERS CONSERV, V19, P1101, DOI 10.1007/s10531-009-9758-4 O'Donnell KP, 2010, ANIM CONSERV, V13, P539, DOI 10.1111/j.1469-1795.2010.00427.x Ong DM, 1998, J ENVIRON LAW, V10, P291, DOI 10.1093/jel/10.2.291 Outhwaite W, 2014, 17 AC27 Pernetta Angelo P., 2009, Biawak, V3, P37 Perry AL, 2010, AQUAT CONSERV, V20, P464, DOI 10.1002/aqc.1112 Phelps J, 2010, SCIENCE, V330, P1752, DOI 10.1126/science.1195558 Planas M, 2008, AQUACULTURE, V283, P19, DOI 10.1016/j.aquaculture.2008.06.023 Raymakers C, 2002, INT REV HYDROBIOL, V87, P525, DOI 10.1002/1522-2632(200211)87:5/6<525::AID-IROH525>3.0.CO;2-W Reynolds JD, 2005, P ROY SOC B-BIOL SCI, V272, P2337, DOI 10.1098/rspb.2005.3281 Robinson M.M., 2011, WORLD MED SITUATION SADOVY Y, 2001, J FISH BIOL, V59, P90, DOI [DOI 10.1006/jfbi.2001.1760, DOI 10.1006/JFBI.2001.1760] Smith MJ, 2011, BIOL CONSERV, V144, P82, DOI 10.1016/j.biocon.2010.10.018 Tull DM, 2006, J MOD AFR STUD, V44, P459, DOI 10.1017/S0022278X06001856 UNEP-WCMC, 2004, GUID INT OUTP CITES UNEP-WCMC, 2013, CITES TRAD DAT UNEP-WCMC, 2010, GUID US CITES TRAD D, P1 Vincent ACJ, 2011, J FISH BIOL, V78, P1681, DOI 10.1111/j.1095-8649.2011.03003.x Vincent A. C. J., 1996, INT TRADE SEAHORSES Vincent A. C. J, 2011, FISHERIES CTR RES RE, V19 Vincent ACJ, 1995, ANIM BEHAV, V50, P1557, DOI 10.1016/0003-3472(95)80011-5 Vincent Amanda C.J., 2006, P71 Vincent ACJ, 2014, FISH FISH, V15, P563, DOI 10.1111/faf.12035 Wabnitz C, 2003, OCEAN AQUARIUM West K, 2012, INVESTIGATION SENEGA Woods CMC, 2002, NEW ZEAL J MAR FRESH, V36, P655, DOI 10.1080/00288330.2002.9517121 NR 56 TC 30 Z9 30 U1 4 U2 47 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1052-7613 EI 1099-0755 J9 AQUAT CONSERV JI Aquat. Conserv.-Mar. Freshw. Ecosyst. PD FEB PY 2016 VL 26 IS 1 BP 154 EP 172 DI 10.1002/aqc.2493 PG 19 WC Environmental Sciences; Marine & Freshwater Biology; Water Resources SC Environmental Sciences & Ecology; Marine & Freshwater Biology; Water Resources GA DC1VH UT WOS:000369005100012 DA 2019-04-09 ER PT J AU Kongsager, R Locatelli, B Chazarin, F AF Kongsager, Rico Locatelli, Bruno Chazarin, Florie TI Addressing Climate Change Mitigation and Adaptation Together: A Global Assessment of Agriculture and Forestry Projects SO ENVIRONMENTAL MANAGEMENT LA English DT Article DE REDD; Emissions; Vulnerability; Landscape; Ecosystem services; Livelihoods ID SUSTAINABLE DEVELOPMENT; LINKING MITIGATION; TRADE-OFFS; TREES; REFORESTATION; INTEGRATION; RESPONSES; SERVICES; SYNERGY; POLICY AB Adaptation and mitigation share the ultimate purpose of reducing climate change impacts. However, they tend to be considered separately in projects and policies because of their different objectives and scales. Agriculture and forestry are related to both adaptation and mitigation: they contribute to greenhouse gas emissions and removals, are vulnerable to climate variations, and form part of adaptive strategies for rural livelihoods. We assessed how climate change project design documents (PDDs) considered a joint contribution to adaptation and mitigation in forestry and agriculture in the tropics, by analyzing 201 PDDs from adaptation funds, mitigation instruments, and project standards [e.g., climate community and biodiversity (CCB)]. We analyzed whether PDDs established for one goal reported an explicit contribution to the other (i.e., whether mitigation PDDs contributed to adaptation and vice versa). We also examined whether the proposed activities or expected outcomes allowed for potential contributions to the two goals. Despite the separation between the two goals in international and national institutions, 37 % of the PDDs explicitly mentioned a contribution to the other objective, although only half of those substantiated it. In addition, most adaptation (90 %) and all mitigation PDDs could potentially report a contribution to at least partially to the other goal. Some adaptation project developers were interested in mitigation for the prospect of carbon funding, whereas mitigation project developers integrated adaptation to achieve greater long-term sustainability or to attain CCB certification. International and national institutions can provide incentives for projects to harness synergies and avoid trade-offs between adaptation and mitigation. C1 [Kongsager, Rico] UNEP DTU Partnership Energy Environm & Sustainabl, Marmorvej 51, DK-2100 Copenhagen O, Denmark. [Locatelli, Bruno; Chazarin, Florie] CIFOR, POB 1558, Lima 15024, Peru. [Locatelli, Bruno] CIRAD BSEF, Ave Agropolis, F-34398 Montpellier 5, France. RP Kongsager, R (reprint author), UNEP DTU Partnership Energy Environm & Sustainabl, Marmorvej 51, DK-2100 Copenhagen O, Denmark. EM ricokongsager@gmail.com RI Locatelli, Bruno/C-9957-2009 OI Locatelli, Bruno/0000-0003-2983-1644; Kongsager, Rico/0000-0002-6143-5396 FU AusAid (Agreement with Center for International Forestry Research) [63650]; OPERAs (Ecosystem Science for Policy & Practice - European Union's Seventh Framework Programme) [308393] FX The authors thank Anne Olhoff (UNEP DTU Partnership), Ole Mertz (University of Copenhagen), and Esteve Corbera (Universitat Autonoma de Barcelona) for their useful comments on earlier versions of the paper. This research received financial support from AusAid (Agreement 63650 with Center for International Forestry Research) and OPERAs (Ecosystem Science for Policy & Practice, funded by the European Union's Seventh Framework Programme under Grant Agreement Number 308393). This work was carried out as part of the Consultative Group on International Agricultural Research programs on Forests, Trees and Agroforestry (FTA) and Climate Change, Agriculture and Food Security (CCAFS). CR Adger WN, 2011, WIRES CLIM CHANGE, V2, P757, DOI 10.1002/wcc.133 Amaru S, 2013, APPL GEOGR, V39, P128, DOI 10.1016/j.apgeog.2012.12.006 Anderson EK, 2012, CLIMATIC CHANGE, V115, P741, DOI 10.1007/s10584-012-0456-y Angelsen A, 2014, WORLD DEV, V64, pS12, DOI 10.1016/j.worlddev.2014.03.006 Ayers JM, 2009, ENVIRON MANAGE, V43, P753, DOI 10.1007/s00267-008-9223-2 Barnett J, 2010, GLOBAL ENVIRON CHANG, V20, P211, DOI 10.1016/j.gloenvcha.2009.11.004 Below TB, 2012, GLOBAL ENVIRON CHANG, V22, P223, DOI 10.1016/j.gloenvcha.2011.11.012 Berry PM, 2015, CLIMATIC CHANGE, V128, P381, DOI 10.1007/s10584-014-1214-0 Biagini B, 2014, GLOBAL ENVIRON CHANG, V25, P97, DOI 10.1016/j.gloenvcha.2014.01.003 Blom B, 2010, ENVIRON SCI POLICY, V13, P164, DOI 10.1016/j.envsci.2010.01.002 Borner J, 2012, FORESTS, V3, P546, DOI 10.3390/f3030546 Clements R, 2011, TECHNOLOGIES CLIMATE Corbera E, 2007, GLOBAL ENVIRON CHANG, V17, P365, DOI 10.1016/j.gloenvcha.2006.12.005 COWI and IIED, 2009, JOINT EXT EV OP LEAS Cruz RV, 2007, CLIMATE CHANGE 2007, P469 Dang HH, 2003, CLIM POLICY, V3, pS81, DOI 10.1016/j.clipol.2003.10.006 Duguma LA, 2014, ENVIRON SCI POLICY, V42, P138, DOI 10.1016/j.envsci.2014.06.003 Duguma LA, 2014, ENVIRON MANAGE, V54, P420, DOI 10.1007/s00267-014-0331-x Easterling W. E., 2007, CLIMATE CHANGE 2007, P273 Ecofys-IDFC, 2013, MAPP GREEN FIN DEL I GEF, 2011, GEF SMALL GRANTS PRO GEF, 2012, EV SPEC CLIM CHANG F GEF, 2011, EV GEF STRAT PRIOR A Global Environment Facility (GEF), 2009, FIN AD ACT Guariguata MR, 2012, INT FOREST REV, V14, P27, DOI 10.1505/146554812799973226 Guariguata MR, 2008, MITIG ADAPT STRAT GL, V13, P793, DOI 10.1007/s11027-007-9141-2 Harvey CA, 2014, CONSERV LETT, V7, P77, DOI 10.1111/conl.12066 Illman J., 2013, NORDIC WORKING PAPER Klein R.J.T., 2007, CLIMATE CHANGE 2007 Klein RJT, 2005, ENVIRON SCI POLICY, V8, P579, DOI 10.1016/j.envsci.2005.06.010 Kok MTJ, 2007, ENVIRON SCI POLICY, V10, P587, DOI 10.1016/j.envsci.2007.07.003 Kongsager R, 2015, WORLD DEV, V76, P132, DOI 10.1016/j.worlddev.2015.07.003 Locatelli B, 2008, FOREST POLICY ECON, V10, P275, DOI 10.1016/j.forpol.2007.11.007 Locatelli B, 2015, RESTOR ECOL, V23, P337, DOI 10.1111/rec.12209 Locatelli B, 2011, FORESTS, V2, P431, DOI 10.3390/f2010431 Locatelli B, 2009, FOREST ECOL MANAG, V258, P1864, DOI 10.1016/j.foreco.2009.01.015 Matocha J., 2012, INTEGRATING CLIMATE, P105 Noble IR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P833 OECD, 2014, AID ACT TARG GLOB EN Pandey SK, 2010, APPL BIONICS BIOMECH, V7, P169, DOI 10.1080/11762322.2010.490041 Peskett L, 2010, CDKN POLICY BRIEF Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485 Pramova E, 2012, WIRES CLIM CHANGE, V3, P581, DOI 10.1002/wcc.195 Ravindranath N. H., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P843, DOI 10.1007/s11027-007-9102-9 Remling E, 2015, CLIM DEV, V7, P16, DOI 10.1080/17565529.2014.886992 Reyer C, 2009, NEW FOREST, V38, P15, DOI 10.1007/s11056-008-9129-0 Robinson BE, 2014, GLOBAL ENVIRON CHANG, V29, P281, DOI 10.1016/j.gloenvcha.2013.05.012 Rocheleau D, 1997, WORLD DEV, V25, P1351, DOI 10.1016/S0305-750X(97)00036-3 Schoeneberger M, 2012, J SOIL WATER CONSERV, V67, p128A, DOI 10.2489/jswc.67.5.128A Sikor T, 2010, GLOBAL ENVIRON CHANG, V20, P423, DOI 10.1016/j.gloenvcha.2010.04.007 Smith KR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P709 Smith P, 2010, J AGR SCI, V148, P543, DOI 10.1017/S0021859610000341 Smith P, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P811 Someshwar S., 2008, Development (London), V51, P366, DOI 10.1057/dev.2008.31 Suckall N, 2015, AMBIO, V44, P34, DOI 10.1007/s13280-014-0520-0 Suckall N, 2014, APPL GEOGR, V46, P111, DOI 10.1016/j.apgeog.2013.11.005 Suiseeya KRM, 2013, GLOBAL ENVIRON CHANG, V23, P968, DOI 10.1016/j.gloenvcha.2013.07.013 Swart R, 2007, CLIM POLICY, V7, P288, DOI 10.1080/14693062.2007.9685657 Tol RSJ, 2005, ENVIRON SCI POLICY, V8, P572, DOI 10.1016/j.envsci.2005.06.011 Toni F, 2008, GLOBAL ENVIRON CHANG, V18, P575, DOI 10.1016/j.gloenvcha.2008.08.004 United Nations Framework Convention on Climate Change (UNFCCC), 2002, ANN GUID PREP NAT AD Uprety DC, 2012, TECHNOLOGIES CLIMATE Verchot L. V., 2007, Mitigation and Adaptation Strategies for Global Change, V12, P901, DOI 10.1007/s11027-007-9105-6 Young OR, 2010, GLOBAL ENVIRON CHANG, V20, P378, DOI 10.1016/j.gloenvcha.2009.10.001 Zou LL, 2010, NAT HAZARDS, V54, P901, DOI 10.1007/s11069-010-9513-x NR 65 TC 9 Z9 9 U1 6 U2 90 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 0364-152X EI 1432-1009 J9 ENVIRON MANAGE JI Environ. Manage. PD FEB PY 2016 VL 57 IS 2 BP 271 EP 282 DI 10.1007/s00267-015-0605-y PG 12 WC Environmental Sciences SC Environmental Sciences & Ecology GA DB6PZ UT WOS:000368638500003 PM 26306792 OA Green Published DA 2019-04-09 ER PT J AU Neira, DP Fernandez, XS Rodriguez, DC Montiel, MS Cabeza, MD AF Perez Neira, David Simon Fernandez, Xavier Copena Rodriguez, Damian Soler Montiel, Marta Delgado Cabeza, Manuel TI Analysis of the transport of imported food in Spain and its contribution to global warming SO RENEWABLE AGRICULTURE AND FOOD SYSTEMS LA English DT Article DE agri-food system; imports; transport; food miles; sustainability ID GREENHOUSE-GAS EMISSIONS; INTERNATIONAL-TRADE; LOCAL FOOD; SUSTAINABILITY; CONSUMPTION; SYSTEM; MILES; FREIGHT; LAND AB Through the process of globalization, food has experienced an intense territorial restructuring process. Local agric-food links have weakened at the same time as daily products arrived from distant lands. There is presently a wide international debate on the importance of transport in the configuration of the agric-food system and its contribution in terms of greenhouse gas (GHG). The direct environmental costs of the transport of imported food, that is the external food miles', have been estimated in kilometer (km), ton (t), ton-kilometer (t-km) and GHG in Spain between 1995 and 2011. The analysis is made by ten food groups including 136 products, with special attention to the most important ones (cereals and animal feed), as well as by means of transport (air, rail, road and water) and from 113 different countries belonging to six geographical areas. Two phases are identified during this period: an expansive phase (1995-2007), in which the t-km of imported food increased from 81.8 to 147.8 million t-km and environmental pressure rose from 3.1 to 5.4 million CO2-eq t, and a recession phase (2007-2011), in which environmental pressure subsided as a consequence of the reduction of imports, even though it still remained above the 1995 level. The article reveals a clear interrelation between amounts, distances and modal distribution when it comes to determining the environmental cost of transporting food imports in the two periods studied. It also reflects on the role of the external food miles in the Spanish agri-food system from a sustainability perspective. C1 [Perez Neira, David] Univ Pablo de Olavide, Seville, Spain. [Perez Neira, David] Univ Estatal Milagro, Secretaria Educ Super Ciencia Tecnol Einnovac Rep, Milagro, Ecuador. [Simon Fernandez, Xavier; Copena Rodriguez, Damian] Univ Vigo, Vigo 36310, Spain. [Soler Montiel, Marta; Delgado Cabeza, Manuel] Univ Seville, Seville, Spain. RP Neira, DP (reprint author), Univ Pablo de Olavide, Seville, Spain.; Neira, DP (reprint author), Univ Estatal Milagro, Secretaria Educ Super Ciencia Tecnol Einnovac Rep, Milagro, Ecuador. EM dpernei@upo.es RI Soler-Montiel, Marta/N-6651-2018 OI Soler-Montiel, Marta/0000-0002-6865-9333; Copena, Damian/0000-0003-1329-3116; David, Perez Neira/0000-0001-9458-5174 CR 36 MITC, 2014, EST COM ESP Advenier P., 2002, ENERGY ENV, V13, P631, DOI DOI 10.1260/095830502320939598 Ang-Olson J, 2002, TRANSPORT RES REC, P11, DOI 10.3141/1815-02 Blanke MM, 2005, ENVIRON SCI POLLUT R, V12, P125, DOI 10.1065/espr2005.05.252 Coley D, 2009, FOOD POLICY, V34, P150, DOI 10.1016/j.foodpol.2008.11.001 Copena D, 2011, COSTE ENERGETICO HUE Corre W., 2003, P INT FERTILISER SOC Dauvergne P, 2008, SHADOWS OF CONSUMPTION: CONSEQUENCES FOR THE GLOBAL ENVIRONMENT, P1 Duram L, 2010, RENEW AGR FOOD SYST, V25, P99, DOI 10.1017/S1742170510000104 Durham C. A., 2009, Journal of Food Distribution Research, V40, P56 Edwards-Jones G, 2008, TRENDS FOOD SCI TECH, V19, P265, DOI 10.1016/j.tifs.2008.01.008 Engelhaupt E, 2008, ENVIRON SCI TECHNOL, V42, P3482, DOI 10.1021/es087190e EU (European Union), 2013, EU EN FIG STAT POCK European Commission, 2010, EUR 2020 STRAT SMART Ferng JJ, 2003, ECOL ECON, V46, P121, DOI 10.1016/S0921-8009(03)00104-6 Foster C., 2006, ENV IMPACTS FOOD PRO Francis CA, 2010, RENEW AGR FOOD SYST, V25, P3, DOI 10.1017/S1742170509990251 Garnett T, 2011, FOOD POLICY, V36, pS23, DOI 10.1016/j.foodpol.2010.10.010 Gliessman S. R., 2007, AGROECOLOGY ECOLOGY Goland C, 2004, RENEW AGR FOOD SYST, V19, P228, DOI 10.1079/RAFS200487 Heller MC, 2003, AGR SYST, V76, P1007, DOI 10.1016/S0308-521X(02)00027-6 Huang H, 2011, FOOD POLICY, V36, pS9, DOI 10.1016/j.foodpol.2010.10.008 ICF, 2009, COMP EV RAIN TRUCK F IDAE, 2013, BAL EN AN IMO, 2008, GREENH GAS EM SHIPS Amate JI, 2013, J CLEAN PROD, V38, P27, DOI 10.1016/j.jclepro.2011.03.018 IPCC, 2006, GUID NAT GREENH INV, V2 Janic M, 2007, TRANSPORT RES D-TR E, V12, P33, DOI 10.1016/j.trd.2006.10.004 Jarosz L, 2008, J RURAL STUD, V24, P231, DOI 10.1016/j.jrurstud.2007.10.002 Kamakate F, 2009, ENERG POLICY, V37, P3743, DOI 10.1016/j.enpol.2009.07.029 Kissinger M, 2012, FOOD POLICY, V37, P171, DOI 10.1016/j.foodpol.2012.01.002 Kissinger M, 2009, ECOL ECON, V68, P2309, DOI 10.1016/j.ecolecon.2009.02.022 Knudsen M. T., 2011, Organic Agriculture, V1, P167, DOI 10.1007/s13165-011-0014-3 Knudsen MT, 2010, J CLEAN PROD, V18, P1431, DOI 10.1016/j.jclepro.2010.05.022 Kondo Y, 1998, APPL ENERG, V59, P163, DOI 10.1016/S0306-2619(98)00011-7 Kristensen H. O, 2002, TRANSPORT RES D-TR E, V4, P265 Lal R., 2004, SCIENCE, V16, P304 Lenzen M., 1999, TRANSPORT RES D-TR E, V4, P107 MAGRAMA, 2014, AN EST AGR MAGRAMA, 2013, INV GAS EF INV ESP McMichael A., 2007, ENERGY AND HLTH, V370 McMichael P, 2005, RES RURAL SOCIOL DEV, V11, P265, DOI 10.1016/S1057-1922(05)11010-5 McMichael P, 2009, J PEASANT STUD, V36, P139, DOI 10.1080/03066150902820354 Munksgaard J, 2001, ENERG POLICY, V29, P327, DOI 10.1016/S0301-4215(00)00120-8 Nashawi IS, 2010, ENERG FUEL, V24, P1788, DOI 10.1021/ef901240p Paxton A, 1994, FOOD MILES REPORT DA Perez-Martinez P. J., 2009, EUROPEAN TRANSPORT R, V1, P75, DOI DOI 10.1007/S12544-009-0010-9 Peters CJ, 2009, RENEW AGR FOOD SYST, V24, P72, DOI 10.1017/S1742170508002457 Peters GP, 2008, ECOL ECON, V65, P13, DOI 10.1016/j.ecolecon.2007.10.014 Peters GP, 2008, ENVIRON SCI TECHNOL, V42, P1401, DOI 10.1021/es072023k Pirog R., 2005, CALCULATING FOOD MIL Pugliese P, 2013, FOOD POLICY, V39, P1, DOI 10.1016/j.foodpol.2012.12.009 Saari A, 2007, TRANSPORT RES D-TR E, V12, P23, DOI 10.1016/j.trd.2006.10.005 Schipper L, 1997, TRANSPORT RES D-TR E, V2, P57, DOI 10.1016/S1361-9209(96)00014-4 Schlich EH, 2005, INT J LIFE CYCLE ASS, V10, P219, DOI 10.1065/lca2004.09.180.9 Sim S, 2007, INT J LIFE CYCLE ASS, V12, P422, DOI 10.1065/lca2006.07.259 Steenhof P, 2006, TRANSPORT RES D-TR E, V11, P369, DOI 10.1016/j.trd.2006.07.003 SUBAK S, 1995, GLOBAL ENVIRON CHANG, V5, P433, DOI 10.1016/0959-3780(95)00056-T Tassou SA, 2009, APPL THERM ENG, V29, P1467, DOI 10.1016/j.applthermaleng.2008.06.027 UIC, 2008, RAIL TRANSP ENV FACT Van der Ploeg J. D, 2008, NEW PEASANTRIES STRU van der Ploeg JD, 2000, SOCIOL RURALIS, V40, P391, DOI 10.1111/1467-9523.00156 van Wee B, 2005, TRANSPORT REV, V25, P3, DOI 10.1080/014416410001676861 Weber L., 2008, ENVIRON SCI TECHNOL, V42, P3503 WEC, 2004, COMP EN SYST US LIF Williams A. G., 2008, FO0103 DEFR Zhang M, 2011, APPL ENERG, V88, P2279, DOI 10.1016/j.apenergy.2010.12.077 NR 67 TC 4 Z9 4 U1 5 U2 24 PU CAMBRIDGE UNIV PRESS PI CAMBRIDGE PA EDINBURGH BLDG, SHAFTESBURY RD, CB2 8RU CAMBRIDGE, ENGLAND SN 1742-1705 EI 1742-1713 J9 RENEW AGR FOOD SYST JI Renew. Agr. Food Syst. PD FEB PY 2016 VL 31 IS 1 BP 37 EP 48 DI 10.1017/S1742170514000428 PG 12 WC Agriculture, Multidisciplinary SC Agriculture GA DC2YT UT WOS:000369085700006 DA 2019-04-09 ER PT J AU Calvert, K AF Calvert, Kirby TI From 'energy geography' to 'energy geographies': Perspectives on a fertile academic borderland SO PROGRESS IN HUMAN GEOGRAPHY LA English DT Article DE energy GIS; interdisciplinary; production of space; renewable energy; transition ID ENGAGED PLURALISM; SPECIAL-ISSUE; SUSTAINABILITY TRANSITIONS; ECONOMIC-GEOGRAPHY; LAND-USE; POLITICS; GIS; RESOURCE; REGION; WIND AB This paper takes stock of geographical contributions to the study of energy and energy futures. The paper is written in two parts. First, I trace the methodological and philosophical traditions that underpin geographical approaches to energy studies. I argue that while 'energy geography' is arguably a pragmatic shorthand with which to communicate to the broader energy studies community, geographical studies of energy have expanded in scope and theoretical plurality so that 'energy geographies' is a more appropriate label. Energy geographers are well positioned to contribute to scientific and policy debates surrounding energy due to their privileged position at the borderland between various philosophical and methodological traditions. Second, I identify some of the problems, opportunities and uncertainties that contemporary energy geographers are helping to identify, understand, and resolve. Past contributions and critical issues for future scholarship are highlighted in four themes: (1) using advanced socio-spatial theory to better understand the energy-society relationship; (2) geo-political and geo-economic assessments of (changing) global energy trade networks; (3) geographical perspectives on socio-technical (energy) transitions; and (4) advanced spatial decision-support for energy planning and technology implementation. While this discussion is by no means exhaustive, it aims to bring some clarity and specificity to the policy and academic relevance of geographical thought and practice as it relates to energy issues. C1 [Calvert, Kirby] Penn State Univ, 302 Walker Bldg, University Pk, PA 16803 USA. RP Calvert, K (reprint author), Penn State Univ, 302 Walker Bldg, University Pk, PA 16803 USA. EM kec21@psu.edu CR Adams R. N., 1975, ENERGY STRUCTURE THE Andrews E, 2013, J ENV STUDIES SCI, P1 Aydin NY, 2013, ENERG CONVERS MANAGE, V70, P90, DOI 10.1016/j.enconman.2013.02.004 Bailey I, 2010, GEOFORUM, V41, P595, DOI 10.1016/j.geoforum.2009.08.007 Bakker K, 2006, PROG HUM GEOG, V30, P5, DOI 10.1191/0309132506ph588oa Barnes TJ, 2010, PROG HUM GEOG, V34, P193, DOI 10.1177/0309132509343728 Bickerstaff K, 2012, ENVIRON PLANN A, V44, P2611, DOI 10.1068/a44583 Birch K, J SCI TECHN IN PRESS Blaschke T, 2013, BIOMASS BIOENERG, V55, P3, DOI 10.1016/j.biombioe.2012.11.022 Bouzarovski S, 2012, ENERG POLICY, V49, P76, DOI 10.1016/j.enpol.2012.01.033 Bouzarovski S, 2011, ANN ASSOC AM GEOGR, V101, P783, DOI 10.1080/00045608.2011.567942 Bouzarovski S, 2009, AREA, V41, P452, DOI 10.1111/j.1475-4762.2009.00885.x Bradshaw M., 2014, GLOBAL ENERGY DILEMM Bridge G, 2004, GEOFORUM, V35, P395, DOI 10.1016/j.geoforum.2004.05.002 Bridge G., 2013, OIL Bridge G, 2013, ENERG POLICY, V53, P331, DOI 10.1016/j.enpol.2012.10.066 Bridge G, 2011, GLOBAL POLITICAL ECOLOGY, P307 Bridge G, 2009, GEOGR COMPASS, V3, P1217, DOI 10.1111/j.1749-8198.2009.00233.x Bridge G, 2010, GEOFORUM, V41, P565, DOI 10.1016/j.geoforum.2010.02.004 Bridge G, 2010, GEOFORUM, V41, P523, DOI 10.1016/j.geoforum.2010.06.002 Bridge Gavin, 2012, TEACHING ENERGY ISSU Bristow G, 2012, GEOFORUM, V43, P1108, DOI 10.1016/j.geoforum.2012.06.015 Bulkeley H, 2014, POLIT GEOGR, V40, P25, DOI 10.1016/j.polgeo.2014.02.003 Bulkeley H, 2014, URBAN STUD, V51, P1471, DOI 10.1177/0042098013500089 Buzar S, 2007, ENVIRON PLANN A, V39, P1908, DOI 10.1068/a38298 Buzar S, 2007, GEOFORUM, V38, P224, DOI 10.1016/j.geoforum.2006.02.007 Calvert K, 2013, RENEW SUST ENERG REV, V18, P416, DOI 10.1016/j.rser.2012.10.024 Calvert K, GEOGRAFIS B IN PRESS CALVERT K., 2010, J EC BUSINESS RES, V16, P13 Calvert K, 2014, ISPRS INT GEO-INF, V3, P209, DOI 10.3390/ijgi3010209 Calzonetti F. J., 1985, GEOGRAPHICAL DIMENSI CHAPMAN JD, 1989, GEOGRAPHY ENERGY COM Chapman JD, 1961, CAN GEOGR, V1, P10 Coenen L, 2012, RES POLICY, V41, P968, DOI 10.1016/j.respol.2012.02.014 Coenen L, 2012, EUR PLAN STUD, V20, P367, DOI 10.1080/09654313.2012.651802 Coenen L, 2010, TECHNOL SOC, V32, P295, DOI 10.1016/j.techsoc.2010.10.006 Cook E., 1976, MAN ENERGY SOC Court CD, 2013, REV REG STUD, V42, P99 Coutard O, 2010, TECHNOL ANAL STRATEG, V22, P711, DOI 10.1080/09537325.2010.496284 Cowell R, 2010, LAND USE POLICY, V27, P222, DOI 10.1016/j.landusepol.2009.01.006 Desbiens C, 2014, POWER N TERRITORY ID Devine-Wright P, 2007, J ENVIRON PSYCHOL, V31, P336 Devine-Wright P, 2013, LOCAL ENVIRON, V18, P1099, DOI 10.1080/13549839.2012.754742 Dorow S, 2013, CAN J SOCIOL, V38, P121 Farrell AE, 2006, ENVIRON RES LETT, V1, DOI 10.1088/1748-9326/1/1/014004 Fast S, 2013, GEOGR COMPASS, V7, P853, DOI 10.1111/gec3.12086 Feder D, 2004, PROF GEOGR, V56, P185 Frantal B, 2014, MORAV GEOGR REP, V22, P2, DOI 10.2478/mgr-2014-0006 Furlong K, 2011, PROG HUM GEOG, V35, P460, DOI 10.1177/0309132510380488 Greene DL, 2006, ENERG POLICY, V34, P515, DOI 10.1016/j.enpol.2005.11.025 Haberl H, 2006, ENERGY, V31, P87, DOI 10.1016/j.energy.2004.04.045 Haberl Helmut, 2001, Journal of Industrial Ecology, V5, P71, DOI 10.1162/10881980152830141 Harrison C, 2013, LOCAL ENVIRON, V18, P469, DOI 10.1080/13549839.2012.748728 HAUSER DP, 1971, T I BRIT GEOGR, P101, DOI 10.2307/621365 Hoare A. G., 1979, PROGR HUMAN GEOGRAPH, V3, P506 Horner MW, 2011, ANN ASSOC AM GEOGR, V101, P764, DOI 10.1080/00045608.2011.567938 Howell JP, 2014, GEOGR REV, V104, P209, DOI 10.1111/j.1931-0846.2014.12018.x Huber M., 2011, CAPITALISM NATURE SO, V22, P32 Huber M. T, 2013, LIFEBLOOD OIL FREEDO Huber MT, 2009, GEOFORUM, V40, P105, DOI 10.1016/j.geoforum.2008.08.004 Hudgins A, 2014, J POLIT ECOL, V21, P303 Hunold C, 2011, ENVIRON POLIT, V20, P687, DOI 10.1080/09644016.2011.608534 IEA, 2012, WORLD EN OUTL 2012 W Juisto S, 2009, COMPANION ENV GEOGRA, P533 Karplus Y, 2013, ENVIRON PLANN D, V31, P23, DOI 10.1068/d13111 Kedron P, 2011, ANN ASSOC AM GEOGR, V101, P882, DOI 10.1080/00045608.2011.568875 Kennedy E, 2014, GEOGR COMPASS, V8, P262, DOI 10.1111/gec3.12127 King B, 2011, T I BRIT GEOGR, V36, P297, DOI 10.1111/j.1475-5661.2010.00423.x Koebler Jason, 2012, US NEWS LEACH G, 1992, ENERG POLICY, V20, P116, DOI 10.1016/0301-4215(92)90105-B Lefebvre H., 1991, PRODUCTION SPACE Li WP, 2011, ANN ASSOC AM GEOGR, V101, P717, DOI 10.1080/00045608.2011.567926 Livingstone David, 1992, GEOGRAPHICAL TRADITI LIZOT J, 1977, MAN, V12, P497, DOI 10.2307/2800552 Lovins A., 1977, SOFT ENERGY PATHS LUTEN DB, 1971, SCI AM, V225, P164, DOI 10.1038/scientificamerican0971-164 Mabee WE, 2011, ANN ASSOC AM GEOGR, V101, P897, DOI 10.1080/00045608.2011.568878 Mann D, 2012, APPL GEOGR, V34, P219, DOI 10.1016/j.apgeog.2011.11.008 Manners G, 1971, GEOGRAPHY ENERGY MARTIN G. J, 2005, ALL POSSIBLE WORLDS Mellino S, 2014, ECOL MODEL, V271, P103, DOI 10.1016/j.ecolmodel.2012.12.023 Misiagiewicz J, 2012, J GLOBAL STUDIES, V4 Mitchell B, 1989, GEOGRAPHY RESOURCE A Mitchell B, 2008, CAN GEOGR-GEOGR CAN, V52, P131, DOI 10.1111/j.1541-0064.2008.00205.x Mitchell C., 2013, NEW CHALLENGES ENERG Montgomery SL, 2010, POWERS BE GLOBAL POW Mulvaney D, 2014, GEOFORUM, V54, P178, DOI 10.1016/j.geoforum.2014.01.014 Nadai A, 2013, ENVIRON PLANN D, V31, P116, DOI 10.1068/d22610 Nadai A, 2010, LANDSCAPE RES, V35, P143, DOI 10.1080/01426390903557543 Nasaw David, 1992, LANDSCAPE MODERNITY, P273 Neville KJ, 2012, POLIT GEOGR, V31, P279, DOI 10.1016/j.polgeo.2012.03.006 Newell P, 2013, GEOGR J, V178, P132 Nguyen HT, 2010, SOL ENERGY, V84, P831, DOI 10.1016/j.solener.2010.02.009 Nicholls L, 2014, ENERG POLICY, V67, P673, DOI 10.1016/j.enpol.2013.11.076 Nye David E, 2001, CONSUMING POWER SOCI Oil Change International, 2011, EXP EN SEC KEYST XL Owens S., 1986, ENERGY PLANNING URBA Parker P, 2003, CAN GEOGR, V47, P164 Pasqualetti MJ, 2011, ANN ASSOC AM GEOGR, V101, P971, DOI 10.1080/00045608.2011.575323 Pasqualetti MJ, 2009, GEOGR REV, V99, P248 Pasqualetti MJ, 2002, WIND POWER VIEW ENER Pattison WD, 1964, GEOGRAPHY J, V63, P211 Perreault T, 2010, GEOFORUM, V41, P689, DOI 10.1016/j.geoforum.2010.04.004 Petrova S, 2014, BLOG POST 0421 Pooley CG, 2010, J HIST GEOGR, V36, P266, DOI 10.1016/j.jhg.2009.12.007 PRYDE PR, 1985, J GEOGR, V84, P154, DOI 10.1080/00221348508979383 Raven R, 2012, ENVIRON INNOV SOC TR, V4, P63, DOI 10.1016/j.eist.2012.08.001 REN21, 2014, RENEWABLE ENERGY POL Resch B, 2014, ISPRS INT GEO-INF, V3, P662, DOI 10.3390/ijgi3020662 Robinson JL, 1974, J GEOGR, V75, P520 Rutherford J, 2014, URBAN STUD, V51, P1353, DOI 10.1177/0042098013500090 Sabins FF, 2004, ENCY ENERGY, V2, P291 Schmidt J, 2012, ENERG POLICY, V47, P211, DOI 10.1016/j.enpol.2012.04.059 Seiwald M, 2014, MORAV GEOGR REP, V22, P44 Shaffer B, 2009, ENERGY POLITICS, P1 Sheppard E, 2007, ENVIRON PLANN A, V39, P2545, DOI 10.1068/a40205 Shove E, 2007, ENVIRON PLANN A, V39, P763, DOI 10.1068/a39310 Shove E, 2010, RES POLICY, V39, P471, DOI 10.1016/j.respol.2010.01.019 Simandan D, 2011, PROG HUM GEOG, V35, P568, DOI 10.1177/0309132510390874 Sliz-Szkliniarz B, 2013, LAND USE POLICY, V35, P257, DOI 10.1016/j.landusepol.2013.05.018 Smil V., 2008, ENERGY NATURE SOC GE Smil Vaclav, 2010, ENERGY MYTHS REALITI SOLOMON B. D., 2004, ENCY ENERGY, V2, P831 Solomon BD, 2004, GEOGRAPHY AM DAWN 21 Sovacool Benjamin, 2007, ENERGY AM SOC 13 MYT Sovacool BK, 2014, ENERGY RES SOC SCI, V1, P1, DOI 10.1016/j.erss.2014.02.003 Spath P, 2012, EUR PLAN STUD, V20, P461, DOI 10.1080/09654313.2012.651800 Spath P, 2010, RES POLICY, V39, P449, DOI 10.1016/j.respol.2010.01.017 Spinney J, 2012, ENVIRON PLANN A, V44, P2629, DOI 10.1068/a44403 SPOONER DJ, 1981, GEOGRAPHY, V66, P29 Spooner DJ, 2000, REFLECTIVE PRACTICE, P68 Spreng D, 2014, ENERGY RES SOC SCI, V1, P65, DOI 10.1016/j.erss.2014.02.005 Stoms DM, 2013, RENEW ENERG, V57, P289, DOI 10.1016/j.renene.2013.01.055 Sui DZ, 2004, PROF GEOGR, V56, P62 Taylor MJ, 2011, ANN ASSOC AM GEOGR, V101, P918, DOI 10.1080/00045608.2011.568881 Taylor MJ, 2005, ENVIRON PLANN C, V23, P173, DOI 10.1068/c14r The Electricity Journal, 2013, ELECT J, V26, P3 van der Horst D, 2014, MORAV GEOGR REP, V22, P66, DOI 10.2478/mgr-2014-0013 van der Kroon B, 2013, RENEW SUST ENERG REV, V20, P504, DOI 10.1016/j.rser.2012.11.045 van Zyl FDW, 1968, THE AUSTRALIAN GEOGR, V6, P507 Vogel E., 2008, CONTENTIOUS GEOGRAPH, P165 Voivontas D, 1998, RENEW ENERG, V13, P333, DOI 10.1016/S0960-1481(98)00006-8 WALKER G, 1995, LAND USE POLICY, V12, P3, DOI 10.1016/0264-8377(95)90069-E Walker G, 2014, ENERGY RES SOC SCI, V1, P49, DOI 10.1016/j.erss.2014.03.012 Wang SF, 2009, INT J ENERG RES, V33, P778, DOI 10.1002/er.1518 Wilbanks TJ, 1982, APPL GEOGRAPHY SELEC, P219 Yafimava K., 2011, TRANSIT DIMENSION EU Zalik A, 2010, GEOFORUM, V41, P553, DOI 10.1016/j.geoforum.2009.11.008 Zimmerer KS, 2011, ANN ASSOC AM GEOGR, V101, P705, DOI 10.1080/00045608.2011.575318 Zimmerer KS, 2010, ANN ASSOC AM GEOGR, V100, P1076, DOI 10.1080/00045608.2010.523343 Zvoleff A, 2009, ENERG POLICY, V37, P4066, DOI 10.1016/j.enpol.2009.05.006 NR 151 TC 33 Z9 33 U1 9 U2 38 PU SAGE PUBLICATIONS LTD PI LONDON PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND SN 0309-1325 EI 1477-0288 J9 PROG HUM GEOG JI Prog. Hum. Geogr. PD FEB PY 2016 VL 40 IS 1 BP 105 EP 125 DI 10.1177/0309132514566343 PG 21 WC Geography SC Geography GA DB2GW UT WOS:000368327300006 HC Y HP N DA 2019-04-09 ER PT J AU Gjerris, M Gamborg, C Saxe, H AF Gjerris, Mickey Gamborg, Christian Saxe, Henrik TI What to Buy? On the Complexity of Being a Critical Consumer SO JOURNAL OF AGRICULTURAL & ENVIRONMENTAL ETHICS LA English DT Article DE Climate change; Food production; Critical/political/ethical consumerism; Sustainability ID CITIZEN-CONSUMER; SUSTAINABLE CONSUMPTION; FOOD-NETWORKS; NORDIC DIET; VALUES; GREEN; AGRICULTURE; PRODUCTS; POLITICS; CHOICE AB This article criticises the notion that critical/political/ethical consumerism can solve issues related to sustainability and food production. It does this by analysing the complexity of the concept of sustainability as related to food choices. The current trend of pursuing a sustainable food production through critical purchase decisions rather than through regulation is shown to be problematic, as shopping for a more sustainable food system might be much harder than initially believed due to the conflicting values and inherent trade-offs entailed in the different notions of sustainability. Thus, critical consumerism may give way to false expectations as the complexity of choices transpires. One obvious way out is to let decisions regarding food choices be made earlier in the food production chain as well as through new modes of governance engaging members of civil society in their capacity as citizens rather than consumers. This entails complementing society's reliance on critical consumerism with a citizen-oriented and political process in support of making more sustainable food choices. C1 [Gjerris, Mickey; Gamborg, Christian] Univ Copenhagen, Dept Food & Resource Econ, Rolighedsvej 25, DK-1958 Frederiksberg C, Denmark. [Saxe, Henrik] Tech Univ Denmark, DTU Management Engn, Div Quantitat Sustainabil Assessment & Global Dec, DK-2800 Lyngby, Denmark. RP Gjerris, M (reprint author), Univ Copenhagen, Dept Food & Resource Econ, Rolighedsvej 25, DK-1958 Frederiksberg C, Denmark. EM mgj@ifro.ku.dk RI Gamborg, Christian/L-7392-2014 OI Gamborg, Christian/0000-0003-3150-8280; Gjerris, Mickey/0000-0001-5739-5988 FU OPUS project, Institute of Food and Resource Economics, University of Copenhagen at DTU Management Engineering; division of Quantitative Sustainability Assessment and the Global Decision Support Initiative at DTU Management Engineering FX The authors acknowledge financial support from the OPUS project, Institute of Food and Resource Economics, University of Copenhagen, and the division of Quantitative Sustainability Assessment and the Global Decision Support Initiative, both at DTU Management Engineering. CR Aiking H., 2014, AM J CLIN NUTR S, V100, p483S Akenji L, 2014, J CLEAN PROD, V63, P13, DOI 10.1016/j.jclepro.2013.05.022 Audsley E., 2009, LOW CAN WE GO ASSESS Balazs B, 2013, CIV SZLE, V10, P107 Baranski M, 2014, BRIT J NUTR, V112, P794, DOI 10.1017/S0007114514001366 Barber Benjamin R., 2007, CONSUMED MARKETS COR Berry W., 1989, J GASTRONOMY, V5, P125 Borkfelt S, 2015, J AGR ENVIRON ETHIC, V28, P1053, DOI 10.1007/s10806-015-9577-4 Bostrom M, 2008, CONSUM PUBLIC LIFE, P1, DOI 10.1057/9780230584006 British Tomato Growers' Association, 2012, GREENH EFF ENV ISS Browne AW, 2000, FOOD POLICY, V25, P69, DOI 10.1016/S0306-9192(99)00075-5 Cafaggi F, 2014, EUR J LAW ECON, V37, P131, DOI 10.1007/s10657-013-9421-0 Carrier JG, 2010, ANTIPODE, V42, P672, DOI 10.1111/j.1467-8330.2010.00768.x Carrington MJ, 2014, J BUS RES, V67, P2759, DOI 10.1016/j.jbusres.2012.09.022 Carrington MJ, 2010, J BUS ETHICS, V97, P139, DOI 10.1007/s10551-010-0501-6 Cho Y. N., 2014, J BUS ETHICS, DOI [10.1007/s.10551-014-2080-4, DOI 10.1007/S.10551-014-2080-4] Clarke J., 2007, CREATING CITIZEN CON Craig WJ, 2009, J AM DIET ASSOC, V109, P1266, DOI 10.1016/j.jada.2009.05.027 Dangour AD, 2010, AM J CLIN NUTR, V92, P203, DOI 10.3945/ajcn.2010.29269 Davies AR, 2014, FUTURES, V62, P181, DOI 10.1016/j.futures.2014.04.006 de Bakker E, 2012, J AGR ENVIRON ETHIC, V25, P877, DOI 10.1007/s10806-011-9345-z Del Savio L, 2013, J AGR ENVIRON ETHIC, V26, P787, DOI 10.1007/s10806-012-9414-y Ejrnaes R. P., 2011, 815 DMU U AARH FAO, 2011, WORLD LIV 2011 LIV F FAO, 2010, INT SCI S BIOD SUST Fogelberg C. L., 2008, VAG MOT MILJOANPASSA Forman J., 2012, PEDIATRICS, V130, P1408 Forssell S, 2015, AGR HUM VALUES, V32, P63, DOI 10.1007/s10460-014-9516-4 Francione Gary L, 2010, ANIMAL RIGHTS DEBATE Fuchs DA, 2005, J CONSUM POLICY, V28, P261, DOI 10.1007/s10603-005-8490-z Gamborg C, 2005, LIVEST PROD SCI, V92, P221, DOI 10.1016/j.livprodsci.2004.08.010 Gamborg C., 2005, ETHICS LAW SOC, P123 Gamborg C., 2005, SILVA CARELICA, V49, P55 Garnett T., 2014, WHAT IS SUSTAINABLE Genus A, 2014, SUSTAINABILITY-BASEL, V6, P283, DOI 10.3390/su6010283 Gjerris M, 2015, J AGR ENVIRON ETHIC, V28, P517, DOI 10.1007/s10806-014-9499-6 Gjerris M, 2013, ETIKK PRAKSIS, V7, P6 Gorgitano MT, 2014, QUAL ACCESS SUCCESS, V15, P207 Griffiths H., 2005, HUMAN ENV SECURITY A, P221 Grunert KG, 2014, FOOD POLICY, V44, P177, DOI 10.1016/j.foodpol.2013.12.001 GULYS E, 2008, REV SOCIOLOGY, V0014 Halberg N., 2006, DAN ENV AG ENV ASS C Halweil B., 2006, WORLD WATCH MAGAZINE, V19 Harrison R., 2005, ETHICAL CONSUMER Hassan L, 2013, J CONSUM BEHAV, V12, P182, DOI 10.1002/cb.1409 Hepting DH, 2014, J AGR ENVIRON ETHIC, V27, P453, DOI 10.1007/s10806-013-9473-8 Hertwich E., 2010, ASSESSING ENV IMPACT Holt DB, 2012, ANN AM ACAD POLIT SS, V644, P236, DOI 10.1177/0002716212453260 Jacobsen E, 2007, J AGR ENVIRON ETHIC, V20, P469, DOI 10.1007/s10806-007-9043-z Jagerskog A, 2012, 31 SIWI Jensen JD, 2015, INT J ENV RES PUB HE, V12, P7370, DOI 10.3390/ijerph120707370 Johnston J, 2008, THEOR SOC, V37, P229, DOI 10.1007/s11186-007-9058-5 Kates RW, 2005, ENVIRONMENT, V47, P8 Lewis W., 2011, ELEPHANTJOURNAL Lockie S, 2009, AGR HUM VALUES, V26, P193, DOI 10.1007/s10460-008-9155-8 Lorek S, 2014, J CLEAN PROD, V63, P33, DOI 10.1016/j.jclepro.2013.08.045 Markula A., 2011, J CONSUMER POLICY, DOI [DOI 10.1007/S10603-011-9184-3, 10.1007/s10603-011-9184-3] Maxey L., 2007, ALTERNATIVE FOOD GEO, P55 Micheletti M, 2012, ANN AM ACAD POLIT SS, V644, P88, DOI 10.1177/0002716212454836 Middlemiss L, 2014, ENVIRON POLIT, V23, P929, DOI 10.1080/09644016.2014.943010 Minero G., 2014, INT J CONSUM STUD, DOI [10.1111/ijcs.12128, DOI 10.1111/IJCS.12128] Morgan K, 2010, ENVIRON PLANN A, V42, P1852, DOI 10.1068/a42364 Nordgren A, 2012, J AGR ENVIRON ETHIC, V25, P563, DOI 10.1007/s10806-011-9335-1 Ovaskainen V, 2005, AUST J AGR RESOUR EC, V49, P379, DOI 10.1111/j.1467-8489.2005.00309.x Peck J., 2008, CITIZEN RENNAISANCE Rocklinsberg H, 2015, J AGR ENVIRON ETHIC, V28, P533, DOI 10.1007/s10806-014-9506-y Royal Society of Chemistry, 2004, CHEM WORLD 2004, V2004 Sabate J., 2014, AM J CLIN NUTR S, V100, p467S Saunders C, 2006, FOOD MILES COMP ENER Saxe H., 2011, ENCYCLOPEDIA OF ENVI, V2, P70 Saxe H, 2014, AM J CLIN NUTR, V99, P1117, DOI 10.3945/ajcn.113.066746 Saxe H, 2013, CLIMATIC CHANGE, V116, P249, DOI 10.1007/s10584-012-0495-4 Schudson M, 2007, ANN AM ACAD POLIT SS, V611, P236, DOI 10.1177/0002716207299195 Seufert V, 2012, NATURE, V485, P229, DOI 10.1038/nature11069 Shaw D, 2010, SUSTAIN DEV, V18, P385, DOI 10.1002/sd.415 Soderbaum P, 2014, SUSTAINABILITY-BASEL, V6, P2755, DOI 10.3390/su6052755 Sorensen M. P., 2005, POLITICAL CONSUMERIS, P59 Spangenberg J.H, 2014, SUSTAIN SCI PRACT PO, V10, P62 Starik M., 2013, ORG ENV, V26, P1 Steinfeld H., 2006, LIVESTOCKS LONG SHAD Stolle D., 2015, POLITICAL CONSUMERIS Sullivan C., 2013, SCI AM Thompson PB, 2011, POULTRY SCI, V90, P2097, DOI 10.3382/ps.2010-0138 Thompson P. B., 2007, INT J AGR SUSTAIN, V51, P5 Trentmann F., 2010, J CONSUM CULT, V7, P47 UNEP-UNCTAD, 2008, UN C TRAD DEV UNEP U United Nations Conference on Trade and Development (UNCTAD), 2013, UN C TRAD DEV TRAD E Vermeir I, 2006, J AGR ENVIRON ETHIC, V19, P169, DOI 10.1007/s10806-005-5485-3 Weidema B. P., 2008, ENV IMPROVEMENT POTE Weidema BP, 2009, ECOL ECON, V68, P1591, DOI 10.1016/j.ecolecon.2008.01.019 Wilkins JL, 2005, AGR HUM VALUES, V22, P269, DOI 10.1007/s10460-005-6042-4 World Commission on Environment and Development, 1987, OUR COMMON FUTURE Yates LS, 2011, EUR SOC, V13, P191, DOI 10.1080/14616696.2010.514352 Yu Y, 2013, GLOBAL ENVIRON CHANG, V23, P1178, DOI 10.1016/j.gloenvcha.2013.04.006 Zizek Slavoj, 2012, PERVERTS GUIDE IDEOL NR 95 TC 14 Z9 15 U1 5 U2 53 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 1187-7863 EI 1573-322X J9 J AGR ENVIRON ETHIC JI J. Agric. Environ. Ethics PD FEB PY 2016 VL 29 IS 1 SI SI BP 81 EP 102 DI 10.1007/s10806-015-9591-6 PG 22 WC Agriculture, Multidisciplinary; Ethics; Environmental Sciences; History & Philosophy Of Science SC Agriculture; Social Sciences - Other Topics; Environmental Sciences & Ecology; History & Philosophy of Science GA DC1YF UT WOS:000369013600006 DA 2019-04-09 ER PT J AU Kumar, M Noble, CH AF Kumar, Minu Noble, Charles H. TI Beyond form and function: Why do consumers value product design? SO JOURNAL OF BUSINESS RESEARCH LA English DT Article DE Consumer; Product design; Grounded theory development; Value; Design acumen ID AESTHETIC APPRECIATION; GROUNDED THEORY; TRADE-OFFS; MODEL; SUSTAINABILITY; PREFERENCES; MANAGEMENT; ASTERISK; CHOICE; SCALE AB Product design is often the first point of contact between the product and the buyer in retail aisles and search results on the Internet. Researchers and managers understand that product design is important in consumer and buyer behavior, yet they may not clearly and fully grasp the broad values that product design creates for consumers. Based on an extensive qualitative study that integrates previous value typologies, this research shows that product design can create not only "form" and "function" related value but also a self-expressive dimension (social and altruistic value) that is communicated through the design's holistic properties. After developing and testing a reliable and valid scale for this value typology, this research demonstrates that consumers who have higher design acumen tend to perceive aspects of self-expressive value more than consumers with low design acumen. Finally, the implications for research and practice are considered here. (C) 2015 Elsevier Inc. All rights reserved. C1 [Kumar, Minu] San Francisco State Univ, Coll Business, San Francisco, CA 94132 USA. [Noble, Charles H.] Univ Tennessee, Dept Mkt & Logist, Stokely Management Ctr 310, Knoxville, TN 37996 USA. RP Kumar, M (reprint author), San Francisco State Univ, Coll Business, 1600 Holloway Ave, San Francisco, CA 94132 USA. EM mkumar@sfsu.edu; cnoble@utk.edu OI Noble, Charles/0000-0003-4334-6821 FU Marketing Science Institute (MSI) FX The researchers are grateful to the Marketing Science Institute (MSI) for funding this project, and to the design services companies that participated in the research. We are also thankful to the editor, associate editor and the anonymous reviewers at Journal of Business Research for their developmental comments and suggestions on this manuscript. CR ANDERSON JC, 1988, PSYCHOL BULL, V103, P411, DOI 10.1037/0033-2909.103.3.411 BABIN BJ, 1994, J CONSUM RES, V20, P644, DOI 10.1086/209376 BELK RW, 1988, J CONSUM RES, V15, P139, DOI 10.1086/209154 BLOCH PH, 1995, J MARKETING, V59, P16, DOI 10.2307/1252116 Bloch PH, 2003, J CONSUM RES, V29, P551, DOI 10.1086/346250 BOLTON RN, 1991, J CONSUM RES, V17, P375, DOI 10.1086/208564 Cela-Conde CJ, 2013, P NATL ACAD SCI USA, V110, P10454, DOI 10.1073/pnas.1302855110 Chitturi R, 2008, J MARKETING, V72, P48, DOI 10.1509/jmkg.72.3.48 Chitturi R, 2007, J MARKETING RES, V44, P702, DOI 10.1509/jmkr.44.4.702 CHURCHILL GA, 1979, J MARKETING RES, V16, P64, DOI 10.2307/3150876 Creusen MEH, 2005, J PROD INNOVAT MANAG, V22, P63, DOI 10.1111/j.0737-6782.2005.00103.x Crilly N, 2004, DESIGN STUD, V25, P547, DOI 10.1016/j.destud.2004.03.001 Dahl DW, 2002, J MARKETING RES, V39, P47, DOI 10.1509/jmkr.39.1.47.18930 Desmet P. M. A., 2002, DESIGNING EMOTIONS Fuller DA, 2004, J BUS RES, V57, P1231, DOI 10.1016/S0148-2963(02)00446-0 Giese JL, 2014, J BUS RES, V67, P1154, DOI 10.1016/j.jbusres.2013.05.018 Gioia D.A., 2012, ORGAN RES METHODS, V16, P15, DOI DOI 10.1177/1094428112452151 Glaser B. G., 1967, DISCOVERY GROUNDED T GREEN PE, 1978, J CONSUM RES, V5, P103, DOI 10.1086/208721 Hirschman E. C., 1980, SYMBOLIC CONSUMER BE Hoeffler S, 2003, J MARKETING RES, V40, P406, DOI 10.1509/jmkr.40.4.406.19394 Holbrook Morris B., 1999, CONSUMER VALUE FRAME IDSA, 2004, DES SECR PROD 50 REA IDSA, 2001, DES SECR PROD 50 REA Kumar M., 2014, J PRODUCT INNOVATION Kumar M, 2010, J CONSUM PSYCHOL, V20, P485, DOI 10.1016/j.jcps.2010.06.015 Landwehr J.R., 2011, MARKET SCI, V30, P416 Langley A, 2011, RES METHOD STRAT MAN, V6, P201, DOI 10.1108/S1479-8387(2011)0000006007 Larcker D. F., 1981, J MARKETING RES, V18, P39, DOI DOI 10.2307/3151312 LEARY MR, 1995, J PERS SOC PSYCHOL, V68, P518, DOI 10.1037//0022-3514.68.3.518 Leder H, 2004, BRIT J PSYCHOL, V95, P489, DOI 10.1348/0007126042369811 Luchs M, 2011, J PROD INNOVAT MANAG, V28, P327, DOI 10.1111/j.1540-5885.2011.00801.x Luchs MG, 2012, J PROD INNOVAT MANAG, V29, P903, DOI 10.1111/j.1540-5885.2012.00970.x MacInnis D. J., 1986, J MARKETING, V50 Martin D, 2007, J BUS RES, V60, P742, DOI 10.1016/j.jbusres.2007.03.002 MEHRABIAN A, 1987, J APPL PSYCHOL, V72, P125, DOI 10.1037//0021-9010.72.1.125 Noble CH, 2011, J PROD INNOVAT MANAG, V28, P389, DOI 10.1111/j.1540-5885.2011.00808.x Noble CH, 2010, J PROD INNOVAT MANAG, V27, P640, DOI 10.1111/j.1540-5885.2010.00742.x Norman D. A., 2004, EMOTIONAL DESIGN WHY Nussbaum B., 2004, BUSINESS WEEK 0517, P64 Oppenheimer A, 2005, J PROD INNOVAT MANAG, V22, P82, DOI 10.1111/j.0737-6782.2005.00104.x Orth UR, 2008, J MARKETING, V72, P64, DOI 10.1509/jmkg.72.3.64 Paolacci G, 2010, JUDGM DECIS MAK, V5, P411 Rosa JA, 2014, J BUS RES, V67, P386, DOI 10.1016/j.jbusres.2012.12.023 Sheth JN, 2011, J ACAD MARKET SCI, V39, P21, DOI 10.1007/s11747-010-0216-3 SHOCKER AD, 1979, J MARKETING RES, V16, P159, DOI 10.2307/3150681 Strauss A., 1990, BASICS QUALITATIVE R Suddaby R, 2006, ACAD MANAGE J, V49, P633, DOI 10.5465/AMJ.2006.22083020 Sweeney JC, 2001, J RETAILING, V77, P203, DOI 10.1016/S0022-4359(01)00041-0 Tian KT, 2001, J CONSUM RES, V28, P50, DOI 10.1086/321947 Veryzer RW, 1998, J CONSUM RES, V24, P374 Weber Robert, 1990, BASIC CONTENT ANAL Woodside A. G., 2004, Journal of Travel & Tourism Marketing, V17, P7, DOI 10.1300/J073v17n01_02 NR 53 TC 11 Z9 11 U1 5 U2 41 PU ELSEVIER SCIENCE INC PI NEW YORK PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA SN 0148-2963 EI 1873-7978 J9 J BUS RES JI J. Bus. Res. PD FEB PY 2016 VL 69 IS 2 BP 613 EP 620 DI 10.1016/j.jbusres.2015.05.017 PG 8 WC Business SC Business & Economics GA DA4HJ UT WOS:000367760600028 DA 2019-04-09 ER PT J AU Norton, L Greene, S Scholefield, P Dunbar, M AF Norton, Lisa Greene, Sheila Scholefield, Paul Dunbar, Mike TI The importance of scale in the development of ecosystem service indicators? SO ECOLOGICAL INDICATORS LA English DT Article DE Scale; Modelling; Ecosystem services; Stakeholder engagement; Interdisciplinary science ID INTERDISCIPLINARY RESEARCH; RIVER-BASIN; TRADE-OFFS; LAND-USE; BIODIVERSITY; MANAGEMENT; GOVERNANCE; SCIENCE; POLICY; WATER AB Understanding the interactions between ecosystems and their underlying environmental constraints, the services which they provide, and the people benefiting from those services, are essential for the effective management and sustainability of socio-ecosystems (ecosystems which support and are impacted upon by humans). Ecosystem service (ES) indicators attempt to provide a means of measuring service provision, but the scale at which they are developed is likely to impact on how they can be used to influence the effective management of socio-ecosystems. This paper compares science and practice in the development of service measures at contrasting scales in: (a) an active research project, focused on local catchment management to improve water quality at Loweswater in the English Lake District, and (b) a science-based study developing national scale indicators of water quality using the Countryside Survey dataset. The paper explores different approaches taken towards the production of ecological measures, which inform on either single or multiple ES delivery across the land/water interface, dependent on scale. It considers how scale impacts on the process of gathering data and on the types of data which can contribute to ES indicators. It further reflects on how service indicators representing different scales of study may be used and by whom. Local scales, in this case the catchment scale, provide a valuable socioecological unit for exploring ES delivery, but the extent to which ecosystem service indicators may be used by local actors is uncertain. Larger scale studies may be confined to single services by virtue of data availability but can provide useful policy tools for targeting action. The paper concludes that 'scale' is an important consideration when developing ES indicators. It also concludes that questions around the utility of such indicators should consider the relevance of scale and how it relates to governance. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Norton, Lisa; Scholefield, Paul] Lancaster Environm Ctr, Ctr Ecol & Hydrol, Lancaster LA1 4AP, England. [Greene, Sheila] Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England. [Dunbar, Mike] CEH, Wallingford, Oxon, England. RP Norton, L (reprint author), Lancaster Environm Ctr, Ctr Ecol & Hydrol, Lib Ave, Lancaster LA1 4AP, England. EM lrn@ceh.ac.uk RI Scholefield, Paul/C-9993-2009; Norton, Lisa/I-8778-2012 OI Scholefield, Paul/0000-0003-2974-6431; FU UK Department for the Environment Food and Rural Affairs; Joint Research Councils RELU; UK Countryside Survey project; Natural Environment Research Council [ceh020002, ceh020009, ceh020005, ceh020004] FX This work was carried out under the 'Ecosystem Interactions' project funded by the UK Department for the Environment Food and Rural Affairs. It uses data collected under the Joint Research Councils RELU funded project 'Testing a community approach to catchment management' and the UK Countryside Survey project, funded by a large number of UK organisations, see website: http://www.countrysidesurvey.org.uk/about/partners-and-people CR ARMITAGE PD, 1983, WATER RES, V17, P333, DOI 10.1016/0043-1354(83)90188-4 Ash N., 2005, ECOSYSTEMS HUMAN WEL Barton DN, 2008, ECOL ECON, V66, P91, DOI 10.1016/j.ecolecon.2008.02.012 Berkes F, 2004, CONSERV BIOL, V18, P621, DOI 10.1111/j.1523-1739.2004.00077.x Berkes F., 1998, LINKING SOCIAL ECOLO Bilotta GS, 2010, J ENVIRON MONITOR, V12, P731, DOI 10.1039/b921584k Boix-Fayos C, 2009, AGR ECOSYST ENVIRON, V133, P75, DOI 10.1016/j.agee.2009.05.013 Botey AP, 2014, ECOSYSTEMS, V17, P512, DOI 10.1007/s10021-013-9737-1 Brown LR, 2012, LANDSCAPE URBAN PLAN, V108, P17, DOI 10.1016/j.landurbplan.2012.07.009 Bunce RGH, 1996, ENVIRON MONIT ASSESS, V39, P39, DOI 10.1007/BF00396134 Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106 Cash DW, 2003, ENVIRONMENT, V45, P8, DOI 10.1080/00139150309604573 Chen SH, 2012, ENVIRON MODELL SOFTW, V37, P134, DOI 10.1016/j.envsoft.2012.03.012 Collins K, 2007, ENVIRON SCI POLICY, V10, P564, DOI 10.1016/j.envsci.2006.12.005 Cullen R, 2013, WILDLIFE RES, V40, P163, DOI 10.1071/WR12205 Daily GC, 2008, P NATL ACAD SCI USA, V105, P9455, DOI 10.1073/pnas.0804960105 de Lange WJ, 2010, ENVIRON MODELL SOFTW, V25, P43, DOI 10.1016/j.envsoft.2009.06.011 Dunbar M., 2010, 807 NERC CTR EC HYDR Eigenbrod F, 2010, J APPL ECOL, V47, P377, DOI 10.1111/j.1365-2664.2010.01777.x Elith J, 2008, J ANIM ECOL, V77, P802, DOI 10.1111/j.1365-2656.2008.01390.x Fish RD, 2010, SCI TOTAL ENVIRON, V408, P5623, DOI 10.1016/j.scitotenv.2009.10.010 Gorg C, 2007, GEOFORUM, V38, P954, DOI 10.1016/j.geoforum.2007.01.004 Hooper B, 2005, INTEGRATED RIVER BAS Krueger T, 2012, ENVIRON MODELL SOFTW, V36, P4, DOI 10.1016/j.envsoft.2012.01.011 Lavelle P, 2014, AGR ECOSYST ENVIRON, V185, P106, DOI 10.1016/j.agee.2013.12.020 LEVIN SA, 1992, ECOLOGY, V73, P1943, DOI 10.2307/1941447 Locatelli B, 2014, ENVIRON CONSERV, V41, P27, DOI 10.1017/S0376892913000234 Lowe P, 2006, J AGR ECON, V57, P165, DOI 10.1111/j.1477-9552.2006.00045.x Lowe P, 2009, J APPL ECOL, V46, P297, DOI 10.1111/j.1365-2664.2009.01621.x Maberly S.C., 2006, LAC027074 RUR DEV SE Maes J, 2012, BIOL CONSERV, V155, P1, DOI 10.1016/j.biocon.2012.06.016 Maskell LC, 2013, J APPL ECOL, V50, P561, DOI 10.1111/1365-2664.12085 McVittie A., 2015, ECOL ECON, V100, P15 Mitchell B, 1990, INTEGRATED WATER MAN Morton D, 2011, 1107 NERC CTR EC HYD Norton L., 2014, SCALE SENSITIVE GOVE Norton L, 2011, ENVIRON MODELL SOFTW, V36, P64 Norton LR, 2012, J ENVIRON MANAGE, V113, P117, DOI 10.1016/j.jenvman.2012.07.030 Norton L.R., 2011, LAND USE POLICY, V29, P449 Padmanabhan M, 2012, ECOL ECON, V81, P70, DOI 10.1016/j.ecolecon.2012.06.002 Potschin M., 2006, LANDSCAPE URBAN PLAN, V75, P167 Schoolman ED, 2012, SUSTAIN SCI, V7, P67, DOI 10.1007/s11625-011-0139-z Smart S. M., 2010, INTEGRATED ASSESSMEN Spash CL, 2012, ECOL ECON, V77, P36, DOI 10.1016/j.ecolecon.2012.02.004 Swinton SM, 2007, ECOL ECON, V64, P245, DOI 10.1016/j.ecolecon.2007.09.020 Tsouvalis J, 2012, ENVIRON MODELL SOFTW, V36, P111, DOI 10.1016/j.envsoft.2012.01.018 Waterton C, 2015, PLOS BIOL, V13, DOI 10.1371/journal.pbio.1002081 Williams A, 2014, APPL SOIL ECOL, V77, P1, DOI 10.1016/j.apsoil.2014.01.001 Young JC, 2014, BIODIVERS CONSERV, V23, P387, DOI 10.1007/s10531-013-0607-0 NR 49 TC 12 Z9 13 U1 4 U2 54 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD FEB PY 2016 VL 61 SI SI BP 130 EP 140 DI 10.1016/j.ecolind.2015.08.051 PN 1 PG 11 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CZ9IK UT WOS:000367411100012 OA Green Published DA 2019-04-09 ER PT J AU Peng, J Ma, J Du, YY Zhang, LQ Hu, XX AF Peng, Jian Ma, Jing Du, Yueyue Zhang, Liqing Hu, Xiaoxu TI Ecological suitability evaluation for mountainous area development based on conceptual model of landscape structure, function, and dynamics SO ECOLOGICAL INDICATORS LA English DT Article DE Ecological suitability; Ecological resistance; Structure, function and dynamics framework; Trade-off between conservation and development; Dali Prefecture, China ID DIGITAL ELEVATION MODEL; DECISION-SUPPORT-SYSTEM; LAND-USE; ECOSYSTEM SERVICES; ENVIRONMENT SUITABILITY; VEGETATION DYNAMICS; HUMAN-SETTLEMENTS; WATER-QUALITY; CHINA; GIS AB Minimizing the ecological impact of land development is a fundamental principle of sustainable development. Ecological suitability assessment is the key to realizing sustainability and is also significant for optimizing spatial patterns of territorial development. Especially in mountainous areas where the ecosystem is both vulnerable and important, quantitative evaluation of ecological suitability for land development is particularly important and urgent given current development strategy of urban construction in mountainous areas in China. Taking Dali Bai Autonomous Prefecture, a representative urban construction zone in a mountainous area in Yunnan Province, China, as a study area, and based on the fundamental theory of structural and functional dynamics from landscape ecology, this study has explored the integrated ecological resistance (IER) conceptual model and constructed an index system with aspects of ecological elements, ecological importance, and ecological resilience. The results showed that: (1) the ecological suitability level was higher in the north than in the south and higher in the east than in the west, as well as higher in the Bazi region than in mountainous areas. Dali City, Binchuan County, and Xiangyun County had large ecological suitable zones for development and construction. Foci of ecological resistance having strong ecological constraints were mainly concentrated in Heqing County and in various other places; (2) by combining the integrated ecological resistance and arable land distributions, the study area was zoned into five regions: prior development zone, moderate development zone, potential development zone, restricted development zone, and forbidden development zone. Moderate, potential, and restricted development zones occupied most of the area, accounting for 28.89%, 24.69%, and 21.40%, respectively, whereas prior development zones accounted for only 8.91%; (3) based on the areal proportions of ecological suitability zoning, the 12 counties of Dali Prefecture can be grouped into three categories: prior areas for conservation, comprehensive development areas, and prior areas for development. Xiangyun County and Binchuan County should be regarded as key areas of Dali Prefecture for urban construction in mountainous areas. This research has explored an ecological suitability evaluation system from the perspective of landscape ecology and made fully understanding of ecological suitability factors in the study area, which provided a good reference to ecological suitability evaluation for mountainous area development in the worldwide. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Peng, Jian; Ma, Jing; Du, Yueyue; Hu, Xiaoxu] Peking Univ, Coll Urban & Environm Sci, Minist Educ, Lab Earth Surface Proc, Beijing 100871, Peoples R China. [Peng, Jian; Zhang, Liqing] Peking Univ, Shenzhen Grad Sch, Sch Urban Planning & Design, Key Lab Environm & Urban Sci, Shenzhen 518055, Peoples R China. RP Peng, J (reprint author), Peking Univ, Coll Urban & Environm Sci, Minist Educ, Lab Earth Surface Proc, Beijing 100871, Peoples R China. EM jianpeng@urban.pku.edu.cn FU National Natural Science Foundation of China [41322004] FX This research was financially supported by National Natural Science Foundation of China (No. 41322004). CR Alberti Marina, 2004, Urban Ecosystems, V7, P241, DOI 10.1023/B:UECO.0000044038.90173.c6 Bai XM, 2014, NATURE, V509, P158, DOI 10.1038/509158a Chen Y, 2010, ENVIRON MODELL SOFTW, V25, P1582, DOI 10.1016/j.envsoft.2010.06.001 Collins MG, 2001, ENVIRON MANAGE, V28, P611, DOI 10.1007/s002670010247 Cotter M, 2014, ECOL INDIC, V36, P779, DOI 10.1016/j.ecolind.2013.01.017 Du Y, 2007, J GEOGR SCI, V17, P365, DOI 10.1007/s11442-007-0365-6 Fan CJ, 2011, PROCEDIA ENGINEER, V21, P676, DOI 10.1016/j.proeng.2011.11.2064 Feng ZM, 2009, J GEOGR SCI, V19, P437, DOI 10.1007/s11442-009-0437-x Gunderson L. H., 2002, PANARCHY UNDERSTANDI JANKOWSKI P, 1994, ENVIRON PLANN B, V21, P323, DOI 10.1068/b210323 Javadian M, 2011, PROCEDIA ENGINEER, V21, P72, DOI 10.1016/j.proeng.2011.11.1989 Kuang WH, 2013, CHINESE SCI BULL, V58, P1691, DOI 10.1007/s11434-012-5568-2 Kuang WH, 2012, J GEOGR SCI, V22, P535, DOI 10.1007/s11442-012-0945-y [李晶 Li Jing], 2013, [北京大学学报. 自然科学版, Acta Scientiarum Naturalium Universitatis Pekinensis], V49, P707 Li PY, 2014, NATURE, V510, P29, DOI 10.1038/510029a Li YF, 2014, ECOL INDIC, V42, P135, DOI 10.1016/j.ecolind.2013.09.032 Li YC, 2011, J GEOGR SCI, V21, P346, DOI 10.1007/s11442-011-0849-2 [刘孝富 Liu Xiaofu], 2010, [生态学报, Acta Ecologica Sinica], V30, P421 [柳新伟 Liu Xinwei], 2004, [生态学报, Acta Ecologica Sinica], V24, P2635 Liu Y, 2007, ADV SCI TECHNOL WATE, V27, P27 Liu YS, 2014, NATURE, V511, P410, DOI 10.1038/511410c [刘焱序 Liu Yanxu], 2014, [生态学报, Acta Ecologica Sinica], V34, P3188 Liu ZH, 2013, ENVIRON EARTH SCI, V68, P2365, DOI 10.1007/s12665-012-1918-2 Mao XY, 2013, ENVIRON EARTH SCI, V70, P269, DOI 10.1007/s12665-012-2125-x Marshall FE, 2014, ECOL INDIC, V44, P81, DOI 10.1016/j.ecolind.2013.12.021 Mendoza G., 2000, GIS BASED MULTICRITE Minaya V, 2013, ECOL INDIC, V32, P116, DOI 10.1016/j.ecolind.2013.03.011 Naidoo R, 2008, P NATL ACAD SCI USA, V105, P9495, DOI 10.1073/pnas.0707823105 ODEH IOA, 1994, GEODERMA, V63, P197, DOI 10.1016/0016-7061(94)90063-9 Opdam P, 2013, LANDSCAPE ECOL, V28, P1439, DOI 10.1007/s10980-013-9925-6 [彭建 Peng Jian], 2012, [地理科学进展, Progress in Geography], V31, P933 Peng J, 2012, ENVIRON MONIT ASSESS, V184, P4787, DOI 10.1007/s10661-011-2302-5 Peng J, 2012, ECOL INDIC, V14, P28, DOI 10.1016/j.ecolind.2011.08.011 [彭建 Peng Jian], 2004, [北京大学学报. 自然科学版, Acta Scientiarum Naturalium Universitatis Pekinensis], V40, P154 Peng J, 2008, SENSORS-BASEL, V8, P8201, DOI 10.3390/s8128201 [彭建 PENG Jian], 2007, [山地学报, Journal of Mountain Science], V25, P548 Peng S-L, 1996, ECOLOGICAL SCI, V15, P26 PEREIRA JMC, 1993, INT J GEOGR INF SYST, V7, P407, DOI 10.1080/02693799308901971 PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0 Platt R. H., 1994, ECOLOGICAL CITY, P1 Ruiz MC, 2012, AUTOMAT CONSTR, V22, P320, DOI 10.1016/j.autcon.2011.09.009 [石培礼 Shi Peili], 2004, [自然资源学报, Journal of Natural Resources], V19, P351 [史振华 SHI Zhenhua], 2009, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V23, P11 TUCKER CJ, 1979, REMOTE SENS ENVIRON, V8, P127, DOI 10.1016/0034-4257(79)90013-0 Uy Pham Duc, 2008, Urban Forestry & Urban Greening, V7, P25, DOI 10.1016/j.ufug.2007.09.002 van Oudenhoven APE, 2012, ECOL INDIC, V21, P110, DOI 10.1016/j.ecolind.2012.01.012 Wang Zhi-jiang, 2007, Shengtaixue Zazhi, V26, P1606 [魏海 Wei Hai], 2014, [地理研究, Geographical Research], V33, P831 WOLOCK DM, 1994, WATER RESOUR RES, V30, P3041, DOI 10.1029/94WR01971 Wu JG, 2013, LANDSCAPE ECOL, V28, P999, DOI 10.1007/s10980-013-9894-9 Xiao D-N, 1997, ACTA ECOLOGICA SINIC, V17, P453 [肖笃宁 Xiao Duning], 2003, [生态学报, Acta Ecologica Sinica], V23, P1615 Xiao Duning, 2002, Yingyong Shengtai Xuebao, V13, P354 [谢高地 XIE Gao-di], 2008, [自然资源学报, Journal of Natural Resources], V23, P911 Xie HL, 2014, INT J ENV RES PUB HE, V11, P2550, DOI 10.3390/ijerph110302550 [叶玉瑶 Ye Yuyao], 2014, [地理学报, Acta Geographica Sinica], V69, P485 ZHANG WH, 1994, WATER RESOUR RES, V30, P1019, DOI 10.1029/93WR03553 Zhang Y.K., 2012, ECON GEOGR, V32, P53 Zhao ZQ, 2015, ECOL INDIC, V49, P237, DOI 10.1016/j.ecolind.2014.08.038 Zhou T, 2012, ECOL INDIC, V23, P166, DOI 10.1016/j.ecolind.2012.03.013 Zong Y.G., 2008, GEOGR RES, V26, P1117 NR 61 TC 13 Z9 13 U1 9 U2 93 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD FEB PY 2016 VL 61 BP 500 EP 511 DI 10.1016/j.ecolind.2015.10.002 PN 2 PG 12 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CZ9IL UT WOS:000367411200035 DA 2019-04-09 ER PT J AU Liu, JJ Li, ZT Chen, QX Mao, N AF Liu, J. J. Li, Z. T. Chen, Q. X. Mao, N. TI Controlling delivery and energy performance of parallel batch processors in dynamic mould manufacturing SO COMPUTERS & OPERATIONS RESEARCH LA English DT Article DE Dynamic batch scheduling; Delivery and energy performance; Look-ahead batching; Heat-treatment; Mould manufacturing ID INCOMPATIBLE JOB FAMILIES; TOTAL WEIGHTED TARDINESS; GENETIC ALGORITHM; DECISION-SUPPORT; DUE-DATE; MACHINES; SYSTEM AB Given the mounting concern about service levels and environmental sustainability, mould industry is facing growing pressure to improve delivery reliability and energy efficiency. While heat-treatment operation is a bottleneck that affects related performances in mould manufacturing. Effective production control of this operation is essential to improve the on-time delivery and reduce the energy consumption of the mould. The operation often involves parallel batch processors and incompatible jobs, which allows for simultaneous processing yet with same job family and different weights and due dates. This paper considers the batch process control of parallel processors for dealing with such nonidentical jobs in dynamic environments. An event-driven look-ahead batching strategy called MLAB-DE has been proposed. In MLAB-DE, the individual decisions for each family excluding the effects of these decisions on other families are suggested firstly. Then each alternative decision by including its effects on all families is evaluated. MLAB-DE is used to control two kinds of conflicting objectives related to the delivery and energy performances and finally achieve trade-off based on two-level compromise programming model. Simulation study is conducted to verify the effectiveness of the MLAB-DE strategy and show that the results are promising as compared to benchmark rules. (c) 2015 Elsevier Ltd. All rights reserved. C1 [Liu, J. J.; Li, Z. T.; Chen, Q. X.; Mao, N.] Guangdong Univ Technol, Guangzhou Higher Educ Mega Ctr, Key Lab Comp Integrated Mfg Syst, Guangzhou 510006, Guangdong, Peoples R China. RP Li, ZT (reprint author), Guangdong Univ Technol, Guangzhou Higher Educ Mega Ctr, Key Lab Comp Integrated Mfg Syst, 100 Waihuanxi Rd, Guangzhou 510006, Guangdong, Peoples R China. EM jianjun33@163.com; lzt0@163.com; qxchen@gdut.edu.cn; maoning@gdut.edu.cn FU National Natural Science Foundation of China [51205068, 71572049, 51175094, 51305083, 51375098] FX This research was supported by the National Natural Science Foundation of China under Contract nos. 51205068, 71572049, 51175094, 51305083 and 51375098. CR Andre FJ, 2008, APPL MATH COMPUT, V195, P1, DOI 10.1016/j.amc.2007.04.064 Balasubramanian H, 2004, INT J PROD RES, V42, P1621, DOI [10.1080/00207540310001636994, 10.1080/00207543310001636994] Brucker P., 1998, Journal of Scheduling, V1, P31, DOI 10.1002/(SICI)1099-1425(199806)1:1<31::AID-JOS4>3.3.CO;2-I Cerekci A, 2010, INT J PROD RES, V48, P1339, DOI 10.1080/00207540802641437 Chen HP, 2010, INT J COMPUT INTEG M, V23, P942, DOI 10.1080/0951192X.2010.495137 Cheng BY, 2014, COMPUT IND ENG, V75, P116, DOI 10.1016/j.cie.2014.06.014 Chiang TC, 2010, COMPUT OPER RES, V37, P2257, DOI 10.1016/j.cor.2010.03.017 Choi J, 2004, COMPUT CHEM ENG, V28, P1039, DOI 10.1016/j.compchemeng.2003.09.024 Fang K, 2011, J MANUF SYST, V30, P234, DOI 10.1016/j.jmsy.2011.08.004 Gokhale R, 2014, INT J ADV MANUF TECH, V70, P1563, DOI 10.1007/s00170-013-5324-z Gupta AK, 2006, INT J MACH TOOL MANU, V46, P1671, DOI 10.1016/j.ijmachtools.2005.08.017 Gupta AK, 2007, INT J PROD RES, V45, P591, DOI 10.1080/00207540600792226 Haapala KR, 2009, T NAMRI SME, V37, P419 Kashan AH, 2008, COMPUT OPER RES, V35, P1084, DOI 10.1016/j.cor.2006.07.005 Land MJ, 2009, PROD PLAN CONTROL, V20, P548, DOI 10.1080/09537280903034230 Li SS, 2014, INFORM PROCESS LETT, V114, P692, DOI 10.1016/j.ipl.2014.06.009 Li XL, 2013, COMPUT OPER RES, V40, P2983, DOI 10.1016/j.cor.2013.06.016 Liu CH, 2014, INT J COMPUT INTEG M, V27, P759, DOI 10.1080/0951192X.2013.834479 Liu JJ, 2013, INT J COMPUT INTEG M, V26, P571, DOI 10.1080/0951192X.2012.749526 Liu JJ, 2013, INT J PROD RES, V51, P1820, DOI 10.1080/00207543.2012.715768 Lu LF, 2008, OPER RES LETT, V36, P477, DOI 10.1016/j.orl.2008.01.006 Malve S, 2007, COMPUT OPER RES, V34, P3016, DOI 10.1016/j.cor.2005.11.011 Mathirajan M, 2006, INT J ADV MANUF TECH, V29, P990, DOI 10.1007/s00170-005-2585-1 Potts CN, 2000, EUR J OPER RES, V120, P228, DOI 10.1016/S0377-2217(99)00153-8 Romero C, 1998, J OPER RES SOC, V49, P986, DOI 10.1057/palgrave.jors.2600611 Silva C, 2006, DECIS SUPPORT SYST, V42, P999, DOI 10.1016/j.dss.2005.08.001 Stevenson M, 2006, INT J PROD RES, V44, P767, DOI 10.1080/00207540500338070 Tajan JBC, 2012, INT J PROD RES, V50, P4206, DOI 10.1080/00207543.2011.601342 Van Der Zee DJ, 2007, INT J PROD RES, V45, P2327, DOI 10.1080/00207540600690537 Xu R, 2013, INT J PROD ECON, V145, P371, DOI 10.1016/j.ijpe.2013.04.053 NR 30 TC 2 Z9 3 U1 0 U2 21 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0305-0548 EI 1873-765X J9 COMPUT OPER RES JI Comput. Oper. Res. PD FEB PY 2016 VL 66 BP 116 EP 129 DI 10.1016/j.cor.2015.08.006 PG 14 WC Computer Science, Interdisciplinary Applications; Engineering, Industrial; Operations Research & Management Science SC Computer Science; Engineering; Operations Research & Management Science GA CZ0FG UT WOS:000366779900011 DA 2019-04-09 ER PT J AU Jurjonas, M Crossman, K Solomon, J Baez, WL AF Jurjonas, Matthew Crossman, Katie Solomon, Jennifer Baez, Walter Lopez TI Potential Links Between Certified Organic Coffee and Deforestation in a Protected Area in Chiapas, Mexico SO WORLD DEVELOPMENT LA English DT Article DE land use change; organic coffee certification; Ejidos; deforestation; Mexico; biosphere reserve ID TROPICAL DEFORESTATION; FAIR TRADE; NATURAL-RESOURCES; PROPERTY-RIGHTS; LAND-TENURE; COSTA-RICA; CERTIFICATION; SUSTAINABILITY; NICARAGUA; FARMERS AB This study considers organic coffee certification and deforestation in the El Triunfo Biosphere Reserve of Chiapas, Mexico. Land reform, dating back to the revolution, has created a complex context for measuring land use change. The locally improved price of organic production, maintained yield, and plantation growth rate-twice that of conventional producers-raise questions about potential deforestation. While consumers believe organic does not deforest, no measurements are taken during inspection. As communal land privatizes without an established baseline for land use change, improved organic certification inspections are needed to verify good practices and advance forest conservation in the coffee sector. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Jurjonas, Matthew] N Carolina State Univ, Raleigh, NC 27695 USA. [Solomon, Jennifer] Colorado State Univ, Ft Collins, CO 80523 USA. [Baez, Walter Lopez] Inst Nacl Invest Forestales Agr & Pecuarios, Mexico City, DF, Mexico. RP Jurjonas, M (reprint author), N Carolina State Univ, Raleigh, NC 27695 USA. OI Jurjonas, Matthew/0000-0003-1008-639X FU Center for Collaborative Conservation; Conservation Leadership through Learning Program of Colorado State University; El Colegio de la Frontera Sur FX We would like to thank the Center for Collaborative Conservation, the Conservation Leadership through Learning Program of Colorado State University, and El Colegio de la Frontera Sur for the support they provided this research. We would also like to say thank you for the contributions made by Robert Rice, Lorena Soto Pinto, Sergio Cortina-Villar, Michael Gavin, Marianna Castiaux, Lorena Mondragon, the anonymous reviewers, and all the surveyed communities and interviewed coffee experts. Final revision accepted: October 3, 2015. CR Alston LJ, 2000, J ENVIRON ECON MANAG, V39, P162, DOI 10.1006/jeem.1999.1103 Amekawa Y, 2010, J SUSTAIN AGR, V34, P202, DOI 10.1080/10440040903433079 Aragon-Gutierrez C, 2013, AGROCIENCIA-MEXICO, V47, P195 Bacon C, 2005, WORLD DEV, V33, P497, DOI 10.1016/j.worlddev.2004.10.002 Barbier EB, 2001, FOREST SCI, V47, P497 Barnes G, 2009, LAND USE POLICY, V26, P393, DOI 10.1016/j.landusepol.2008.05.007 Bernard H. R., 2011, RES METHODS ANTHR QU Beuchelt TD, 2013, RENEW AGR FOOD SYST, V28, P195, DOI 10.1017/S1742170512000087 Blackman A, 2012, ECOL ECON, V83, P58, DOI 10.1016/j.ecolecon.2012.08.001 Bohn H, 2000, AM ECON REV, V90, P526, DOI 10.1257/aer.90.3.526 Bonilla-Moheno M, 2013, LAND USE POLICY, V30, P355, DOI 10.1016/j.landusepol.2012.04.002 Bosselmann AS, 2012, ECOL ECON, V80, P79, DOI 10.1016/j.ecolecon.2012.05.007 Bray DB, 2002, SOC NATUR RESOUR, V15, P429, DOI 10.1080/08941920252866783 Calo M., 2005, REVALUING PEASANT CO Castellanos EJ, 2013, ENVIRON SCI POLICY, V26, P19, DOI 10.1016/j.envsci.2012.07.003 Castro-Tanzi S, 2012, AGR ECOSYST ENVIRON, V155, P172, DOI 10.1016/j.agee.2012.04.013 Cayuela L, 2006, FOREST ECOL MANAG, V226, P208, DOI 10.1016/j.foreco.2006.01.047 Conservation International, 2011, ESTR SECT CAF AD MIT Cortina-Villar S, 2012, ENVIRON MANAGE, V49, P649, DOI 10.1007/s00267-011-9799-9 FIBL and IFOAM, 2013, WORLD ORG AGR STAT E Fox J., 2003, PEOPLE ENV APPROACHE, V1, P1 Geist HJ, 2002, BIOSCIENCE, V52, P143, DOI 10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2 Gibbs HK, 2010, P NATL ACAD SCI USA, V107, P16732, DOI 10.1073/pnas.0910275107 Godoy R, 2001, ECOL ECON, V38, P105, DOI 10.1016/S0921-8009(01)00144-6 Gonzalez AA, 2005, J RURAL STUD, V21, P449, DOI 10.1016/j.jrurstud.2005.08.004 Grainger A, 2010, LANDSC SER, V10, P15, DOI 10.1007/978-1-4020-9656-3_2 Hausermann H, 2014, HUM ECOL, V42, P381, DOI 10.1007/s10745-014-9644-x Heidkamp P, 2008, ANN REGIONAL SCI, V42, P725, DOI 10.1007/s00168-007-0176-9 Holt-Gimenez E, 2002, AGR ECOSYST ENVIRON, V93, P87, DOI 10.1016/S0167-8809(02)00006-3 INE, 1999, PROGR MAN RES BIOSF IPCC, 2007, CLIMATE CHANGE 2007 Kilian B, 2006, J BUS RES, V59, P322, DOI 10.1016/j.jbusres.2005.09.015 Kuusela O.-P., 2015, ENVIRON RESOUR ECON, P1 Liscow ZD, 2013, J ENVIRON ECON MANAG, V65, P241, DOI 10.1016/j.jeem.2012.07.001 Lucas RM, 2000, INT J REMOTE SENS, V21, P2831, DOI 10.1080/01431160050121276 MENDELSOHN R, 1994, OXFORD ECON PAP, V46, P750, DOI 10.1093/oep/46.Supplement_1.750 Millard E., 2006, USAID REGIONAL CONSU Millennium Ecosystem Assessment [MEA], 2005, EC HUM WELL BEING SY Murray DL, 2006, DEV PRACT, V16, P179, DOI 10.1080/09614520600562397 Newing H, 2011, CONDUCTING RESEARCH IN CONSERVATION: SOCIAL SCIENCE METHODS AND PRACTICE, P1 Nuijten M, 2003, DEV CHANGE, V34, P475, DOI 10.1111/1467-7660.00315 Ostrom E, 1999, SCIENCE, V284, P278, DOI 10.1126/science.284.5412.278 Perramond EP, 2008, GEOGR REV, V98, P356 Petchers S, 2008, FOOD HEALTH ENVIRON, P43 Philpott SM, 2012, AGR ECOSYST ENVIRON, V149, P171, DOI 10.1016/j.agee.2011.02.015 Potts J., 2007, ALTERNATIVE TRADE IN Raynolds LT, 2007, AGR HUM VALUES, V24, P147, DOI 10.1007/s10460-006-9047-8 Raynolds LT, 2004, WORLD DEV, V32, P725, DOI 10.1016/j.worlddev.2003.11.008 Renard MC, 2010, J BUS ETHICS, V92, P287, DOI 10.1007/s10551-010-0584-0 Rice RA, 2001, J AGR ENVIRON ETHIC, V14, P39, DOI 10.1023/A:1011367008474 Rindfuss RR, 2004, P NATL ACAD SCI USA, V101, P13976, DOI 10.1073/pnas.0401545101 Tovar LG, 2005, J RURAL STUD, V21, P461, DOI 10.1016/j.jrurstud.2005.10.002 Van der Vossen HAM, 2005, EXP AGR, V41, P449, DOI 10.1017/S0014479705002863 Walker Robert, 2002, LINKING PEOPLE PLACE, P131 NR 54 TC 6 Z9 7 U1 1 U2 50 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0305-750X J9 WORLD DEV JI World Dev. PD FEB PY 2016 VL 78 BP 13 EP 21 DI 10.1016/j.worlddev.2015.10.030 PG 9 WC Development Studies; Economics SC Development Studies; Business & Economics GA CZ0BK UT WOS:000366769900002 DA 2019-04-09 ER PT J AU Mansouri, SA Aktas, E Besikci, U AF Mansouri, S. Afshin Aktas, Emel Besikci, Umut TI Green scheduling of a two-machine flowshop: Trade-off between makespan and energy consumption SO EUROPEAN JOURNAL OF OPERATIONAL RESEARCH LA English DT Article DE Green scheduling; Sustainable manufacturing; Multi-objective optimization; Sequence-dependent setup times ID SEQUENCE-DEPENDENT SETUP; MULTIOBJECTIVE OPTIMIZATION; PROCESSING TIMES; SUPPLY CHAIN; COORDINATION; MACHINE; ALGORITHMS; OPERATIONS; REDUCTION; EMISSIONS AB Sustainability considerations in manufacturing scheduling, which is traditionally influenced by service oriented performance metrics, have rarely been adopted in the literature. This paper aims to address this gap by incorporating energy consumption as an explicit criterion in shop floor scheduling. Leveraging the variable speed of machining operations leading to different energy consumption levels, we explore the potential for energy saving in manufacturing. We analyze the trade-off between minimizing-makespan, a measure of service level and total energy consumption, an indicator for environmental sustainability of a two-machine sequence dependent permutation flowshop. We develop a mixed integer linear multi-objective optimization model to find the Pareto frontier comprised of makespan and total energy consumption. To cope with combinatorial complexity, we also develop a constructive heuristic for fast trade-off analysis between makespan and energy consumption. We define lower bounds for the two objectives under some non-restrictive conditions and compare the performance of the constructive heuristic with CPLEX through design of experiments. The lower bounds that we develop are valid under realistic assumptions since they are conditional on speed factors. The Pareto frontier includes solutions ranging from expedited, energy intensive schedules to prolonged, energy efficient schedules. It can serve as a visual aid for production and sales planners to consider energy consumption explicitly in making quick decisions while negotiating with customers on due dates. We provide managerial insights by analyzing the areas along the Pareto frontier where energy saving can be justified at the expense of reduced service level and vice versa. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). C1 [Mansouri, S. Afshin] Brunel Univ London, Brunel Business Sch, London, England. [Aktas, Emel] Cranfield Univ, Cranfield Sch Management, Cranfield MK43 0AL, Beds, England. [Besikci, Umut] Sabre Turkey, Istanbul, Turkey. RP Mansouri, SA (reprint author), Brunel Univ London, Brunel Business Sch, London, England. EM Afshin.Mansouri@brunel.ac.uk RI ; Aktas, Emel/A-8654-2008 OI Mansouri, Afshin/0000-0002-1488-7912; Aktas, Emel/0000-0003-3509-6703 CR Agnetis A, 2001, ANN OPER RES, V107, P15, DOI 10.1023/A:1014934612090 Ahilan C, 2013, APPL SOFT COMPUT, V13, P1543, DOI 10.1016/j.asoc.2012.03.071 Allahverdi A, 2008, EUR J OPER RES, V187, P985, DOI 10.1016/j.ejor.2006.06.060 [Anonymous], 2015, REUTERS Baghaei S., 2013, LEAD TECHNICAL ENG D Balbas A, 2005, J OPTIMIZ THEORY APP, V126, P247, DOI 10.1007/s10957-005-4713-3 Behnamian J, 2011, APPL MATH MODEL, V35, P1107, DOI 10.1016/j.apm.2010.07.057 Belaid R, 2012, EUR J OPER RES, V223, P560, DOI 10.1016/j.ejor.2012.06.035 Cheng TCE, 2000, PROD OPER MANAG, V9, P262 Clark A, 2011, INT J PROD RES, V49, P2457, DOI 10.1080/00207543.2010.532908 Cohen J., 1992, CURRENT DIRECTIONS P, V1, P98, DOI [10.1111/1467-8721.ep10768783, DOI 10.1111/1467-8721.EP10768783] Collette Y., 2004, MULTIOBJECTIVE OPTIM DECC, 2013, SUPPL CONS EL ET 5 2 Demir E, 2014, EUR J OPER RES, V232, P464, DOI 10.1016/j.ejor.2013.08.002 Despeisse M., 2012, SUSTAINABLE MANUFACT, P9, DOI DOI 10.1007/978-3-642-27290-52 Diaz N., 2011, GLOCALIZED SOLUTIONS, P263, DOI DOI 10.1007/978-3-642-19692-8 Ding J.-Y., 2015, EUROPEAN J IN PRESS, P1 Duflou JR, 2012, CIRP ANN-MANUF TECHN, V61, P587, DOI 10.1016/j.cirp.2012.05.002 *EPA, 2013, GREENH GAS EQ CALC Fang K., 2012, ANN OPER RES, P1 Fang K, 2011, J MANUF SYST, V30, P234, DOI 10.1016/j.jmsy.2011.08.004 Fang KT, 2013, COMPUT IND ENG, V64, P224, DOI 10.1016/j.cie.2012.10.002 Faul F, 2007, BEHAV RES METHODS, V39, P175, DOI 10.3758/BF03193146 Gharbi A, 2013, EUR J OPER RES, V231, P69, DOI 10.1016/j.ejor.2013.05.031 Gong XT, 2013, OPER RES, V61, P908, DOI 10.1287/opre.2013.1189 Graham R. L., 1979, Discrete Optimisation, P287 GUPTA JND, 1986, J OPER RES SOC JPN, V29, P206, DOI 10.15807/jorsj.29.206 GUPTA JND, 1986, EUR J OPER RES, V24, P439, DOI 10.1016/0377-2217(86)90037-8 Heidenhain, 2011, ASP EN EFF MACH TOOL Hope S, 2014, COMMUNICATION, P4 Ibrahimov M, 2014, INT J ADV MANUF TECH, V72, P1021, DOI 10.1007/s00170-014-5619-8 Jabali O, 2012, PROD OPER MANAG, V21, P1060, DOI 10.1111/j.1937-5956.2012.01338.x Johnson SM, 1954, NAV RES LOG, V1, P61, DOI DOI 10.1002/NAV.3800010110 Koulamas C, 2005, IIE TRANS, V37, P1107, DOI 10.1080/07408170500288067 Liu GS, 2013, MATH PROBL ENG, DOI 10.1155/2013/546810 Luo H, 2013, INT J PROD ECON, V146, P423, DOI 10.1016/j.ijpe.2013.01.028 MacLeay I., 2014, TECHNICAL REPORT Mansouri SA, 2005, INT J PROD RES, V43, P3163, DOI 10.1080/00207540500103821 Mokotoff E, 2011, ENTERPRISE INFORMATION SYSTEMS DESIGN, IMPLEMENTATION AND MANAGEMENT: ORGANIZATIONAL APPLICATIONS, P211, DOI 10.4018/978-1-61692-020-3.ch014 Mouzon G, 2007, INT J PROD RES, V45, P4247, DOI 10.1080/00207540701450013 Mouzon G, 2008, INT J SUSTAIN ENG, V1, P105, DOI 10.1080/19397030802257236 Naderi B, 2009, INT J ADV MANUF TECH, V41, P1186, DOI 10.1007/s00170-008-1569-3 NAWAZ M, 1983, OMEGA-INT J MANAGE S, V11, P91, DOI 10.1016/0305-0483(83)90088-9 OECD-IEA, 2007, TECHNICAL REPORT Okabe T, 2003, IEEE C EVOL COMPUTAT, P878 Pinedo ML, 2012, SCHEDULING: THEORY, ALGORITHMS, AND SYSTEMS, FOURTH EDITION, P1, DOI 10.1007/978-1-4614-2361-4 Psaraftis HN, 2013, TRANSPORT RES C-EMER, V26, P331, DOI 10.1016/j.trc.2012.09.012 Qi XT, 2012, TRANSPORT RES E-LOG, V48, P863, DOI 10.1016/j.tre.2012.02.001 Ruiz R, 2005, EUR J OPER RES, V165, P34, DOI 10.1016/j.egor.2004.01.022 Ruiz R, 2008, EUR J OPER RES, V187, P1143, DOI 10.1016/j.ejor.2006.07.029 Sabouni MTY, 2013, EUR J OPER RES, V224, P8, DOI 10.1016/j.ejor.2012.07.013 Shin HJ, 2004, PROD OPER MANAG, V13, P63 Sun A., 2013, ASIAN SOCIAL SCI, V9, P148, DOI DOI 10.5539/ass.v9n3p148 T'kindt V, 2006, MULTICRITERIA SCHEDU TAILLARD E, 1990, EUR J OPER RES, V47, P65, DOI 10.1016/0377-2217(90)90090-X Tan KC, 2006, EUR J OPER RES, V171, P463, DOI 10.1016/j.ejor.2004.08.038 Tiwari A, 2015, INT J PROD RES, V53, P793, DOI 10.1080/00207543.2014.933273 Trovinger SC, 2005, PROD OPER MANAG, V14, P205 Uruk Z, 2013, COMPUT OPER RES, V40, P639, DOI 10.1016/j.cor.2012.09.001 Vallada E, 2011, EUR J OPER RES, V211, P612, DOI 10.1016/j.ejor.2011.01.011 Yenisey M. M., 2013, OMEGA IN PRESS YOSHIDA T, 1979, AIIE T, V11, P261, DOI 10.1080/05695557908974469 Yue JF, 2009, PROD OPER MANAG, V18, P226, DOI 10.3401/poms.1080.01011 Zhang H, 2014, CIRP ANN-MANUF TECHN, V63, P37, DOI 10.1016/j.cirp.2014.03.011 Zhang R, 2010, APPL INTELL, V32, P47, DOI 10.1007/s10489-008-0134-y Zhu XY, 2006, IIE TRANS, V38, P987, DOI 10.1080/07408170600559706 NR 66 TC 44 Z9 50 U1 7 U2 84 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0377-2217 EI 1872-6860 J9 EUR J OPER RES JI Eur. J. Oper. Res. PD FEB 1 PY 2016 VL 248 IS 3 BP 772 EP 788 DI 10.1016/j.ejor.2015.08.064 PG 17 WC Management; Operations Research & Management Science SC Business & Economics; Operations Research & Management Science GA CV9JO UT WOS:000364603700004 OA Other Gold, Green Published DA 2019-04-09 ER PT J AU Teletchea, F AF Teletchea, Fabrice TI Domestication level of the most popular aquarium fish species: is the aquarium trade dependent on wild populations? SO CYBIUM LA English DT Article DE Aquarium fish; Wild fish; Domestication; Aquarium trade; Conservation; Sustainability ID MARINE ORNAMENTAL FISH; FRESH-WATER FISHES; SUSTAINABILITY; CHARACIFORMES; LORICARIIDAE; CHARACIDAE; MARKETS; EUROPE; RISKS; TETRA AB Aquarium fish trade has strongly increased in the past decades to become one of the most popular hobbies globally. Historically, all aquarium fish traded were wild-caught. Then, an increasing number of fish species have been produced in captivity. The main goal of the present study is to apply the concept of domestication level to the hundred most popular aquarium fish species in Europe and North America. The levels of domestication of freshwater aquarium fish species (n = 50) ranged from 0 to 5, with 20 species classified at the level 5 (selective breeding programmes are used focusing on specific goals) and only three species at the level 0 (capture fisheries) and 1 (first trials of acclimatization to the culture environment). In contrast, the levels of domestication of marine fish species (n = 50) ranged from 0 to 3, implying that the production of all marine aquarium fish species is based either entirely or partly on the capture of wild-caught specimens. Based on this new classification, the main advantages and drawbacks of fisheries and aquaculture are discussed. C1 [Teletchea, Fabrice] Univ Lorraine, Res Unit Anim & Funct Anim Prod URAFPA, INRA, 2 Ave Foret Haye,BP 172, F-54505 Vandoeuvre Les Nancy, France. RP Teletchea, F (reprint author), Univ Lorraine, Res Unit Anim & Funct Anim Prod URAFPA, INRA, 2 Ave Foret Haye,BP 172, F-54505 Vandoeuvre Les Nancy, France. EM fabrice.teletchea@univ-lorraine.fr CR ABERNATHY M.A., 2004, EFFECT WATER HARDNES ANDREWS C, 1990, J FISH BIOL, V37, P53, DOI 10.1111/j.1095-8649.1990.tb05020.x ANONYMOUS, 2007, 428A SRG Balon EK, 2004, J FISH BIOL, V65, P1, DOI 10.1111/j.1095-8649.2004.00563.x BRION MA, 2013, PHILIPP J SCI, V142, P13 Brito M.F.G., 2009, Brazilian Journal of Morphological Sciences, V26, P14 Brysiewicz A, 2011, ACTA ICHTHYOL PISCAT, V41, P223, DOI 10.3750/AIP2011.41.3.10 Cheong L, 1996, REV SCI TECH OIE, V15, P445, DOI 10.20506/rst.15.2.935 Cohen FPA, 2013, REV FISH SCI, V21, P98, DOI 10.1080/10641262.2012.760522 COLE B., 1999, SPAWNING PRODUCTION, V142 David C. J., 2014, Asian Fisheries Science, V27, P117 DEY S., 2014, INT J FISH AQUAT STU, V1, P1 DUFOUR V., 1998, RESSOUR MAR COMM B C, V2, P6 Fossa S. A., 2004, OFI J, V44, P1 Alanis JG, 2009, BRAZ ARCH BIOL TECHN, V52, P1209, DOI 10.1590/S1516-89132009000500019 GHOSH A., 2003, AQUACULT ASIA, V3, P14 HIGNETTE M., 2003, B SOC ZOOL FR, V129, P67 Huysentruyt F, 2009, HYDROBIOLOGIA, V627, P45, DOI 10.1007/s10750-009-9714-z Kasiri M., 2011, INT J RES FISHERIES, V1, P6 Kiron V, 2011, CONDITIONS ENTREPREN, P315 Klinger DH, 2013, MAR POLICY, V38, P369, DOI 10.1016/j.marpol.2012.06.015 Koldewey H., 2013, International Zoo Yearbook, V47, P93, DOI 10.1111/j.1748-1090.2012.00194.x Komiyama T, 2009, GENE, V430, P5, DOI 10.1016/j.gene.2008.10.019 Legendre M, 2012, AQUAT LIVING RESOUR, V25, P95, DOI 10.1051/alr/2012008 Liao I. C., 2000, Cahiers Options Mediterraneennes, V47, P109 Lim LC, 2003, AQUAC RES, V34, P923, DOI 10.1046/j.1365-2109.2003.00946.x LIVENGOOD E. J., 2011, AUQARIUM FISH TRADE, P1 Maceda-Veiga A, 2016, FISH FISH, V17, P860, DOI 10.1111/faf.12097 Maceda-Veiga A, 2013, BIOL INVASIONS, V15, P2707, DOI 10.1007/s10530-013-0485-0 Maleknejad R., 2014, International Journal of Advanced Biological and Biomedical Research, V2, P2884 Monteiro-Neto C, 2003, BIODIVERS CONSERV, V12, P1287, DOI 10.1023/A:1023096023733 Monvises A, 2009, SCIENCEASIA, V35, P8, DOI 10.2306/scienceasia1513-1874.2009.35.008 Moorhead JA, 2010, REV FISH SCI, V18, P315, DOI 10.1080/10641262.2010.516035 Murray JM, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105982 NEDELLEC A., 2010, FILIERE ORNEMENT AQU Ng Peter K.L., 1997, Aquarium Sciences and Conservation, V1, P79, DOI 10.1023/A:1018335617835 Olivotto I, 2011, J WORLD AQUACULT SOC, V42, P135, DOI 10.1111/j.1749-7345.2011.00453.x Papavlasopoulou I, 2014, MEDITERR MAR SCI, V15, P126 Park Jae-Min, 2014, Dev Reprod, V18, P241, DOI 10.12717/devrep.2014.18.4.241 Pecio A, 2007, NEOTROP ICHTHYOL, V5, P457, DOI 10.1590/S1679-62252007000400005 Pecio A, 2009, FOLIA BIOL-KRAKOW, V57, P13, DOI 10.3409/fb57_1-2.13-21 Pruzsinszky I, 1998, ENVIRON BIOL FISH, V53, P183, DOI 10.1023/A:1007413108550 Raghavan R, 2013, BIOL CONSERV, V164, P158, DOI 10.1016/j.biocon.2013.04.019 Rahman M. M., 2008, International Journal of Sustainable Crop Production, V3, P33 REZVANI A., 2011, INT J FISH AQUACULT, V1, P11 Rhyne AL, 2014, CURR OPIN ENV SUST, V7, P101, DOI 10.1016/j.cosust.2013.12.001 Rhyne Andrew L., 2012, AACL Bioflux, V5, P99 Rhyne AL, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035808 Rixon CAM, 2005, BIODIVERS CONSERV, V14, P1365, DOI 10.1007/s10531-004-9663-9 Sado T, 2005, ICHTHYOL RES, V52, P386, DOI 10.1007/s10228-005-0301-7 Zuanon JAS, 2013, REV BRAS ZOOTECN, V42, P144, DOI 10.1590/S1516-35982013000200010 Strecker AL, 2011, FISHERIES, V36, P74, DOI 10.1577/03632415.2011.10389070 SULISTYOWATI T.D., 2005, J AKUAKULT INDONESIA, V42, P67 Sundarabarathy T. V., 2004, Tropical Agricultural Research, V16, P137 SWAIN S.K., 2013, DEV VERIETY ROSY BAR TAMARU C.S., 1997, MANUAL COMMERCIAL PR, P129 TELETCHEA F., 2012, ETHNOZOOTECHNIE, V90, P7 Teletchea F, 2014, FISH FISH, V15, P181, DOI 10.1111/faf.12006 Tlusty M, 2002, AQUACULTURE, V205, P203, DOI 10.1016/S0044-8486(01)00683-4 TLUSTY M., 2006, OFI J, V51, P19 Tlusty MF, 2013, ZOO BIOL, V32, P1, DOI 10.1002/zoo.21019 TOWNSEND D, 2011, SPC LIVE REEF FI DEC, P2 Wabnitz C, 2003, OCEAN AQUARIUM Whittington RJ, 2007, PREV VET MED, V81, P92, DOI 10.1016/j.prevetmed.2007.04.007 Wood E., 2001, COLLECTION CORAL REE NR 65 TC 0 Z9 0 U1 6 U2 36 PU SOC FRANCAISE D ICHTYOLOGIE PI PARIS PA MUSEUM NATL D HISTOIRE NATURELLE, 43 RUE CUVIER, 75231 PARIS, FRANCE SN 0399-0974 J9 CYBIUM JI Cybium PD JAN 31 PY 2016 VL 40 IS 1 BP 21 EP 29 PG 9 WC Zoology SC Zoology GA DI3UL UT WOS:000373423900003 DA 2019-04-09 ER PT J AU Wu, C Barnes, D AF Wu, Chong Barnes, David TI An integrated model for green partner selection and supply chain construction SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Partner selection; Green supply chain; ANP; Multi-objective programming ID ANALYTIC NETWORK PROCESS; ECO-EFFICIENCY ANALYSIS; MANAGEMENT-PRACTICES; ELECTRONIC INDUSTRY; HIERARCHY PROCESS; IMPLEMENTATION; PERFORMANCE; FRAMEWORK; BARRIERS; SUSTAINABILITY AB Stricter governmental regulations and rising public awareness of environmental issues are pressurising firms to make their supply chains greener. Partner selection is a critical activity in constructing a green supply chain because the environmental performance of the whole supply chain is significantly affected by all its constituents. The paper presents a model for green partner selection and supply chain construction by combining analytic network process (ANP) and multi-objective programming (MOP) methodologies. The model offers a new way of solving the green partner selection and supply chain construction problem both effectively and efficiently as it enables decision-makers to simultaneously minimize the negative environmental impact of the supply chain whilst maximizing its business performance. The paper also develops an additional decision-making tool in the form of the environmental difference, the business difference and the eco-efficiency ratio which quantify the trade-offs between environmental and business performance. The applicability and practicability of the model is demonstrated in an illustration of its use in the Chinese electrical appliance and equipment manufacturing industry. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Wu, Chong] Xiamen Univ, Sch Management, Xiamen 361005, Peoples R China. [Barnes, David] Univ Westminster, Westminster Business Sch, London NW1 5LS, England. RP Barnes, D (reprint author), Univ Westminster, Westminster Business Sch, London NW1 5LS, England. EM Chong.Wu@xmu.edu.cn; D.Bames@westminster.ac.uk RI Wu, Chong/Z-2146-2018 OI Wu, Chong/0000-0002-0818-0312; Barnes, David/0000-0001-7418-877X FU National Natural Science Foundation of China [71202058]; Natural Science Foundation of Fujian Province of China [2012J01305]; Specialized Research Fund for the Doctoral Programme of Higher Education [20110121120028] FX This work was financially supported by 'the National Natural Science Foundation of China' (No. 71202058), 'the Natural Science Foundation of Fujian Province of China' (No. 2012J01305), and the Specialized Research Fund for the Doctoral Programme of Higher Education' (No. 20110121120028). The authors wish to thank Professor Stefan Seuring and three anonymous reviewers for their valuable suggestions and criticism to improve the paper. CR Al Zaabi S, 2013, INT J ADV MANUF TECH, V68, P895, DOI 10.1007/s00170-013-4951-8 Awasthi A, 2010, INT J PROD ECON, V126, P370, DOI 10.1016/j.ijpe.2010.04.029 Azevedo SG, 2011, TRANSPORT RES E-LOG, V47, P850, DOI 10.1016/j.tre.2011.05.017 Bai CG, 2010, J CLEAN PROD, V18, P1200, DOI 10.1016/j.jclepro.2010.01.016 Bai C, 2010, INT J PROD ECON, V124, P252, DOI 10.1016/j.ijpe.2009.11.023 Bhattacharya A, 2014, PROD PLAN CONTROL, V25, P698, DOI 10.1080/09537287.2013.798088 Bruno G, 2012, J PURCH SUPPLY MANAG, V18, P159, DOI 10.1016/j.pursup.2012.05.001 Chen CC, 2012, COMPUT MATH APPL, V64, P2544, DOI 10.1016/j.camwa.2012.06.013 Chien MK, 2007, INT J ENVIRON SCI TE, V4, P383 Dey PK, 2013, PROD PLAN CONTROL, V24, P702, DOI 10.1080/09537287.2012.666859 Diabat A, 2014, J CLEAN PROD, V83, P391, DOI 10.1016/j.jclepro.2014.06.081 Diabat A, 2011, RESOUR CONSERV RECY, V55, P659, DOI 10.1016/j.resconrec.2010.12.002 Elkington J, 1998, J ENV QUAL MANAGE, V8, P37, DOI DOI 10.1002/TQEM.3310080106 Neto JQF, 2009, EUR J OPER RES, V193, P670, DOI 10.1016/j.ejor.2007.06.056 Genovese A., 2011, BRIT AC MAN C BIRM Govindan K., 2013, J CLEAN PROD, V98, P66, DOI DOI 10.1016/JJCLEPR0.2013.06.046 Govindan K, 2014, INT J PROD ECON, V147, P555, DOI 10.1016/j.ijpe.2013.08.018 Govindan K, 2013, J CLEAN PROD, V47, P345, DOI 10.1016/j.jclepro.2012.04.014 Ho W, 2010, EUR J OPER RES, V202, P16, DOI 10.1016/j.ejor.2009.05.009 Hsu CW, 2008, INT J ENVIRON SCI TE, V5, P205, DOI 10.1007/BF03326014 Hsu CW, 2013, J CLEAN PROD, V56, P164, DOI 10.1016/j.jclepro.2011.09.012 Hsu CW, 2009, J CLEAN PROD, V17, P255, DOI 10.1016/j.jclepro.2008.05.004 Hua ZS, 2007, OMEGA-INT J MANAGE S, V35, P578, DOI 10.1016/j.omega.2005.11.001 Humphreys Paul, 2007, Journal of Purchasing and Supply Management, V13, P42, DOI 10.1016/j.pursup.2007.03.006 Huppes G, 2005, J IND ECOL, V9, P25, DOI 10.1162/108819805775247882 Kainuma Y, 2006, INT J PROD ECON, V101, P99, DOI 10.1016/j.ijpe.2005.05.010 Kannan D, 2013, J CLEAN PROD, V47, P355, DOI 10.1016/j.jclepro.2013.02.010 Kim J, 2012, INT J PROD RES, V50, P2465, DOI 10.1080/00207543.2011.581009 Kuo RJ, 2010, J CLEAN PROD, V18, P1161, DOI 10.1016/j.jclepro.2010.03.020 Kuo TC, 2013, INT J PRECIS ENG MAN, V14, P1057, DOI 10.1007/s12541-013-0142-7 Lee AHI, 2009, EXPERT SYST APPL, V36, P7917, DOI 10.1016/j.eswa.2008.11.052 Li SL, 2009, EUR J OPER RES, V198, P830, DOI 10.1016/j.ejor.2008.09.038 Lin CWR, 2004, COMPUT IND, V55, P159, DOI 10.1016/j.compind.2004.02.003 Lin RJ, 2013, J CLEAN PROD, V40, P32, DOI 10.1016/j.jclepro.2011.06.010 Lo SM, 2014, INT J OPER PROD MAN, V34, P93, DOI 10.1108/IJOPM-04-2012-0133 Luo XX, 2009, J PURCH SUPPLY MANAG, V15, P249, DOI 10.1016/j.pursup.2009.05.004 Mathiyazhagan K, 2013, J CLEAN PROD, V47, P283, DOI 10.1016/j.jclepro.2012.10.042 Meade LM, 1999, INT J PROD RES, V37, P241, DOI 10.1080/002075499191751 Mendoza A, 2010, EUR J OPER RES, V207, P1304, DOI 10.1016/j.ejor.2010.06.034 Mickwitz P, 2006, J CLEAN PROD, V14, P1603, DOI 10.1016/j.jclepro.2005.05.025 Mirhedayatian SM, 2014, INT J PROD ECON, V147, P544, DOI 10.1016/j.ijpe.2013.02.009 Muduli K, 2013, J CLEAN PROD, V47, P335, DOI 10.1016/j.jclepro.2012.10.030 Nepal B, 2009, EUR J OPER RES, V193, P272, DOI 10.1016/j.ejor.2007.07.032 Ng WL, 2008, EUR J OPER RES, V186, P1059, DOI 10.1016/j.ejor.2007.01.018 Noci G, 1997, EUROPEAN J PURCHASIN, V3, P103, DOI DOI 10.1016/S0969-7012(96)00021-4 Reuter C, 2012, J PURCH SUPPLY MANAG, V18, P270, DOI 10.1016/j.pursup.2012.06.004 Saaty T. L., 1996, DECISION MAKING DEPE Sarkis J, 2003, J CLEAN PROD, V11, P397, DOI 10.1016/S0959-6526(02)00062-8 Schoenherr T, 2012, INT J PROD RES, V50, P4556, DOI 10.1080/00207543.2011.613870 Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 Srivastava SK, 2007, INT J MANAG REV, V9, P53, DOI 10.1111/j.1468-2370.2007.00202.x Testa F, 2010, J CLEAN PROD, V18, P953, DOI 10.1016/j.jclepro.2010.03.005 van Hoek R.I., 1999, SUPPLY CHAIN MANAG, V4, P129, DOI DOI 10.1108/13598549910279576 Verghese K, 2007, INT J PROD RES, V45, P4381, DOI 10.1080/00207540701450211 Walker H, 2012, SUPPLY CHAIN MANAG, V17, P15, DOI 10.1108/13598541211212177 Walton S.V., 1998, J SUPPLY CHAIN MANAG, V34, P2, DOI DOI 10.1111/J.1745-493X.1998.TB00042.X Wu C, 2014, PROD PLAN CONTROL, V25, P821, DOI 10.1080/09537287.2013.766037 Wu C, 2012, INT J OPER PROD MAN, V32, P79, DOI 10.1108/01443571211195745 Wu C, 2011, J PURCH SUPPLY MANAG, V17, P256, DOI 10.1016/j.pursup.2011.09.002 Wu C, 2010, INT J PROD ECON, V125, P284, DOI 10.1016/j.ijpe.2010.02.010 Wu C, 2009, PROD PLAN CONTROL, V20, P254, DOI 10.1080/09537280902856047 Yeh WC, 2011, EXPERT SYST APPL, V38, P4244, DOI 10.1016/j.eswa.2010.09.091 Zhu QH, 2006, J CLEAN PROD, V14, P472, DOI 10.1016/j.jclepro.2005.01.003 Zhu QH, 2007, J ENVIRON MANAGE, V85, P179, DOI 10.1016/j.jenvman.2006.09.003 Zhu QH, 2013, J PURCH SUPPLY MANAG, V19, P106, DOI 10.1016/j.pursup.2012.12.001 NR 65 TC 31 Z9 31 U1 10 U2 72 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD JAN 20 PY 2016 VL 112 BP 2114 EP 2132 DI 10.1016/j.jclepro.2015.02.023 PN 3 PG 19 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DB0OL UT WOS:000368207300027 DA 2019-04-09 ER PT J AU Boschiero, M Cherubini, F Nati, C Zerbe, S AF Boschiero, Martina Cherubini, Francesco Nati, Carla Zerbe, Stefan TI Life cycle assessment of bioenergy production from orchards woody residues in Northern Italy SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Agricultural residues; CHP; Gasification; Environmental sustainability; Climate change; Apple orchards ID GREENHOUSE-GAS BALANCES; OF-THE-ART; ENVIRONMENTAL PERFORMANCE; ELECTRICITY PRODUCTION; BIOMASS GASIFICATION; PRUNING RESIDUES; MALUS-DOMESTICA; WHEAT-STRAW; ENERGY; SYSTEMS AB In the alpine Autonomous Province of Bolzano (NE Italy), about 40% of the biomass used for bioenergy production is currently imported. This share is expected to further increase in the near future owing to growing renewable energy needs. The residual biomass harvestable from the local agronomic sector, mostly based on the cultivation of apple, is a promising option to supply relatively cheap bioenergy feedstock. In this study, we investigate the use of woody residues from apple orchards (apple orchard's woody residues, AWRs) for the production of bioenergy using the life cycle assessment (LCA) methodology. The system boundaries include the harvesting and chipping of AWRs, their transport to the energy plant and conversion into heat and power in a gasification unit. The life cycle inventory (LCI) data rely on field measurements for AWRs harvesting and chipping operations, as well as for their chemical and energy characterization. In the life cycle impact assessment (LCIA) phase, we consider various environmental impact categories like climate change, acidification, fossil depletion, and others. We benchmark the outcomes with two alternative reference systems based on fossils fuels. Our results show that the energy production using AWRs generally presents better environmental indicators than the reference systems, although some trade-offs exist. For instance, whereas the bioenergy system saves up to about 85% of greenhouse gas (GHG) emissions and about 95% of non-renewable resources, it is usually associated with higher toxicity impact potentials. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Boschiero, Martina; Zerbe, Stefan] Free Univ Bozen Bolzarzo, Fac Sci & Technol, I-39100 Bolzano, Italy. [Cherubini, Francesco] Norwegian Univ Sci & Technol NTNU, Dept Energy & Proc Engn, Ind Ecol Programme, NO-7491 Trondheim, Norway. [Nati, Carla] Natl Res Council Italy IVALSA CNR, Trees & Timber Inst, I-50019 Sesto Fiorentino, FI, Italy. RP Boschiero, M (reprint author), Free Univ Bozen Bolzarzo, Fac Sci & Technol, Piazza Univ 5, I-39100 Bolzano, Italy. EM martinaboschierob@gmail.com OI Nati, Carla/0000-0003-0874-2693 FU Autonomous Province of Bolzano; Norwegian Research Council through the CenBio project FX Authors would like to sincerely acknowledge Markus Kelderer and Claudio Casera of the Laimburg Research Centre for the extraordinary support in data retrieval on apple orchard management. M.B., S.Z. would like to thank the Autonomous Province of Bolzano for financial support. F.C. acknowledges the support of the Norwegian Research Council through the CenBio project. CR AEEG (The Italian Regulatory Authority for Electricity and Gas), 2013, ANN REP STAT SERV AC Baumann H., 2004, HITCH HIKERS GUIDE L Bessou C, 2013, INT J LIFE CYCLE ASS, V18, P340, DOI 10.1007/s11367-012-0502-z Bird N, 2011, IEA BIOENERGY EXCO, V2011, P03 Boschiero M, 2015, APPL ENERG, V147, P235, DOI 10.1016/j.apenergy.2015.01.109 Brassard P, 2014, BIORESOURCE TECHNOL, V155, P300, DOI 10.1016/j.biortech.2013.12.027 Brown R., 2011, THERMOCHEMICAL PROCE Bruckner T., 2014, MITIGATION CLIMATE C Caserini S, 2010, BIOMASS BIOENERG, V34, P474, DOI 10.1016/j.biombioe.2009.12.011 Cerutti AK, 2014, J CLEAN PROD, V73, P125, DOI 10.1016/j.jclepro.2013.09.017 Cherubini F, 2011, RESOUR CONSERV RECY, V55, P1070, DOI 10.1016/j.resconrec.2011.06.001 Cherubini F, 2011, GCB BIOENERGY, V3, P413, DOI 10.1111/j.1757-1707.2011.01102.x Cherubini F, 2011, BIORESOURCE TECHNOL, V102, P437, DOI 10.1016/j.biortech.2010.08.010 Cherubini F, 2010, RENEW ENERG, V35, P1565, DOI 10.1016/j.renene.2009.11.035 Cherubini F, 2010, APPL ENERG, V87, P47, DOI 10.1016/j.apenergy.2009.08.024 Cherubini F, 2009, RESOUR CONSERV RECY, V53, P434, DOI 10.1016/j.resconrec.2009.03.013 Cowie A. L., 2006, Mitigation and Adaptation Strategies for Global Change, V11, P979, DOI 10.1007/s11027-006-9030-0 Daystar J, 2012, FOREST PROD J, V62, P314 Djomo SN, 2013, APPL ENERG, V111, P862, DOI 10.1016/j.apenergy.2013.05.017 Ericsson N, 2014, APPL ENERG, V132, P86, DOI 10.1016/j.apenergy.2014.06.049 Faist M., 2011, RBS GHS CALCULATION Fantozzi F, 2010, BIOMASS BIOENERG, V34, P1796, DOI 10.1016/j.biombioe.2010.07.011 Finnveden G, 2009, J ENVIRON MANAGE, V91, P1, DOI 10.1016/j.jenvman.2009.06.018 Giuntoli J, 2013, GCB BIOENERGY, V5, P497, DOI 10.1111/gcbb.12012 Gnansounou E, 2008, J SCI IND RES INDIA, V67, P885 Goedkoop M., 2009, RECIPE 2008 Grella M, 2013, J AGRIC ENG, V44, P97, DOI 10.4081/jae.2013.e14 Guest G, 2011, J IND ECOL, V15, P908, DOI 10.1111/j.1530-9290.2011.00375.x Hellweg S, 2014, SCIENCE, V344, P1109, DOI 10.1126/science.1248361 Jungmeier G, 2002, INT J LIFE CYCLE ASS, V7, P369, DOI 10.1065/lca2002.08.091.2 Khatiwada D, 2011, J CLEAN PROD, V19, P1471, DOI 10.1016/j.jclepro.2011.04.012 Kwant KW, 2004, STATUS GASIFICATION Luo L, 2009, INT J LIFE CYCLE ASS, V14, P529, DOI 10.1007/s11367-009-0112-6 Magagnotti N, 2013, BIORESOURCE TECHNOL, V128, P697, DOI 10.1016/j.biortech.2012.10.149 Mann M. K., 1997, LIFE CYCLE ASSESSMEN Myhre G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P659 Neupane B, 2011, J CLEAN PROD, V19, P733, DOI 10.1016/j.jclepro.2010.12.002 Nguyen TLT, 2013, APPL ENERG, V104, P633, DOI 10.1016/j.apenergy.2012.11.057 Permanent Secretariat of the Alpine Convention, 2011, SUST RUR DEV INN REP Picchi G, 2013, FUEL, V113, P43, DOI 10.1016/j.fuel.2013.05.058 Prando D., 2014, 22 EUR BIOM C EXH HA, P23 Prando D, 2014, APPL THERM ENG, V71, P152, DOI 10.1016/j.applthermaleng.2014.06.043 Provincia Autonoma di Bolzano, 2011, PIAN CLIM EN ALT AD Provincia Autonoma di Bolzano, 2009, CENS MON IMP BIOM LE Provincia Autonoma di Bolzano, 2008, TEL BIOM ALT AD Radtke A, 2014, ANN FOREST SCI, V71, P485, DOI 10.1007/s13595-013-0339-z Sandilands Julie, 2009, New Zealand Journal of Forestry, V53, P25 Sastre CM, 2014, APPL ENERG, V114, P737, DOI 10.1016/j.apenergy.2013.08.035 Spinelli R, 2012, APPL ENERG, V89, P374, DOI 10.1016/j.apenergy.2011.07.049 Stahl K., 2004, GCEP EN WORKSH STANF, P1 Swiss Centre For Life Cycle Inventories, 2007, SWISS CTR LIF CYCL I Tagliavini M, 2007, AGR ECOSYST ENVIRON, V118, P191, DOI 10.1016/j.agee.2006.05.018 Tonini D, 2012, APPL ENERG, V99, P234, DOI 10.1016/j.apenergy.2012.03.006 Tonon G, 2007, SOIL SCI PLANT NUTR, V53, P78, DOI 10.1111/j.1747-0765.2007.00112.x Valente C, 2011, J CLEAN PROD, V19, P1931, DOI 10.1016/j.jclepro.2011.06.026 Velazquez-Marti B, 2011, BIOMASS BIOENERG, V35, P3453, DOI 10.1016/j.biombioe.2011.04.009 Velazquez-Marti B, 2011, BIOMASS BIOENERG, V35, P3208, DOI 10.1016/j.biombioe.2011.04.042 Velazquez-Marti B, 2011, RENEW ENERG, V36, P621, DOI 10.1016/j.renene.2010.08.008 Warner E., 2010, BIOPOWER LIFE CYCLE Whitman T, 2011, CAN J SOIL SCI, V91, P997, DOI [10.4141/CJSS2011-011, 10.4141/cjss2011-011] Worley M., 2012, BIOMASS GASIFICATION Yang J, 2014, APPL ENERG, V122, P269, DOI 10.1016/j.apenergy.2014.02.034 NR 62 TC 20 Z9 20 U1 4 U2 36 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD JAN 20 PY 2016 VL 112 BP 2569 EP 2580 DI 10.1016/j.jclepro.2015.09.094 PN 4 PG 12 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DB0OM UT WOS:000368207400040 DA 2019-04-09 ER PT J AU Arbabzadeh, M Johnson, JX Keoleian, GA Rasmussen, PG Thompson, LT AF Arbabzadeh, Maryam Johnson, Jeremiah X. Keoleian, Gregory A. Rasmussen, Paul G. Thompson, Levi T. TI Twelve Principles for Green Energy Storage in Grid Applications SO ENVIRONMENTAL SCIENCE & TECHNOLOGY LA English DT Article ID LITHIUM-ION BATTERY; REDOX FLOW BATTERY; LIFE-CYCLE ENERGY; GAS EMISSIONS; POWER APPLICATIONS; SYSTEMS; DESIGN; TECHNOLOGIES; MANAGEMENT; ELECTRODE AB The introduction of energy storage technologies to the grid could enable greater integration of renewables, improve system resilience and reliability, and offer cost effective alternatives to transmission and distribution upgrades. The integration of energy storage systems into the electrical grid can lead to different environmental outcomes based on the grid application, the existing generation mix, and the demand. Given this complexity, a framework is needed to systematically inform design and technology selection about the environmental impacts that emerge when considering energy storage options to improve sustainability performance of the grid. To achieve this, 12 fundamental principles specific to the design and grid application of energy storage systems are developed to inform policy makers, designers, and operators. The principles are grouped into three categories: (1) system integration for grid applications, (2) the maintenance and operation of energy storage, and (3) the design of energy storage systems. We illustrate the application of each principle through examples published in the academic literature, illustrative calculations, and a case study with an off-grid application of vanadium redox flow batteries (VRFBs). In addition, trade-offs that can emerge between principles are highlighted. C1 [Arbabzadeh, Maryam; Johnson, Jeremiah X.; Keoleian, Gregory A.] Univ Michigan, Ctr Sustainable Syst, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA. [Rasmussen, Paul G.; Thompson, Levi T.] Univ Michigan, Dept Chem Engn, Ann Arbor, MI 48109 USA. RP Arbabzadeh, M (reprint author), Univ Michigan, Ctr Sustainable Syst, Sch Nat Resources & Environm, Ann Arbor, MI 48109 USA. EM marbab@umich.edu FU U.S. National Science Foundation's Sustainable Energy Pathways program [1230236]; U.S. Department of Energy through the Joint Center for Energy Storage Research (JCESR) FX This work was supported principally by the U.S. National Science Foundation's Sustainable Energy Pathways program (Grant # 1230236: Non-Aqueous Redox Flow Battery Chemistries for Sustainable Energy Storage). One of the PIs was also partially supported by the U.S. Department of Energy through the Joint Center for Energy Storage Research (JCESR). CR Anastas P., 2003, ENVIRON SCI TECHNOL, V37, P94, DOI DOI 10.1021/ES032373G Anastas P. T, 1998, GREEN CHEM THEORY PR [Anonymous], 2013, NRELCP540057746 [Anonymous], 1998, STOR BATT MAINT PRIN, V3-6 [Anonymous], 2010, ADV MAT DEV STAT EL [Anonymous], 2010, SEC MAT EM TECHN [Anonymous], 2011, SAND20115930 SAND NA [Anonymous], 2010, SAND20100815 SAND NA [Anonymous], 2012, ROL CHEM SCI FIND AL, DOI 10.17226/13366 [Anonymous], 2015, NRELTP540063332 [Anonymous], 2010, NRELTP6A247187 [Anonymous], 2011, CRIT MAT STRAT [Anonymous], 2010, SAND20057069 SAND NA Arbabzadeh M., 2015, INT S SUST SYST TECH Arbabzadeh M., 2015, MICH GREEN CHEM ENG Arbabzadeh M., 2015, ENG SUSTAINABILITY Arbabzadeh M., 2015, EL SOC 228 M PHOEN A Arbabzadeh M., 2015, INT SOC IND EC C SUR Arbabzadeh M, 2015, APPL ENERG, V146, P397, DOI 10.1016/j.apenergy.2015.02.005 Baker J, 2008, ENERG POLICY, V36, P4368, DOI 10.1016/j.enpol.2008.09.040 Beaudin M, 2010, ENERGY SUSTAIN DEV, V14, P302, DOI 10.1016/j.esd.2010.09.007 Bergesen JD, 2014, ENVIRON SCI TECHNOL, V48, P9834, DOI 10.1021/es405539z Bernardes AM, 2004, J POWER SOURCES, V130, P291, DOI 10.1016/j.jpowsour.2003.12.026 Bradwell DJ, 2012, J AM CHEM SOC, V134, P1895, DOI 10.1021/ja209759s Byrne J. A., 2012, IEEE 34 INT TEL EN C, P1, DOI [10.1109/INTLEC.2012.6374464, DOI 10.1109/INTLEC.2012.6374464] Carson RT, 2013, J ENVIRON ECON MANAG, V66, P404, DOI 10.1016/j.jeem.2013.06.002 Chawla M., 2010, IEEE C INN TECHN EFF, P302 Chen HS, 2009, PROG NAT SCI-MATER, V19, P291, DOI 10.1016/j.pnsc.2008.07.014 Chen H, 2008, CHEMSUSCHEM, V1, P348, DOI 10.1002/cssc.200700161 Denholm P, 2006, RENEW ENERG, V31, P1355, DOI 10.1016/j.renene.2005.07.001 Denholm P, 2004, ENERG CONVERS MANAGE, V45, P2153, DOI 10.1016/j.enconman.2003.10.014 Dewulf J, 2010, RESOUR CONSERV RECY, V54, P229, DOI 10.1016/j.resconrec.2009.08.004 Diwekar UM, 2003, ENVIRON SCI TECHNOL, V37, P5432, DOI 10.1021/es0344617 Economic Analysis of Deploying Used Batteries in Power Systems, 2011, ORNLTM2011151 Electric Power Research Institute (EPRI); U. S. Department of Energy, 2003, EPRI DOE HDB EN STOR Electricity Energy Storage Options, 2010, 1020676 EPRI EPRI, 1991, GS7325 EPRI Evans A, 2012, RENEW SUST ENERG REV, V16, P4141, DOI 10.1016/j.rser.2012.03.048 Ganter MJ, 2014, J POWER SOURCES, V256, P274, DOI 10.1016/j.jpowsour.2014.01.078 Graedel TE, 2015, P NATL ACAD SCI USA, V112, P4257, DOI 10.1073/pnas.1500415112 Hadjipaschalis I, 2009, RENEW SUST ENERG REV, V13, P1513, DOI 10.1016/j.rser.2008.09.028 Galvez GH, 2012, INT J ENERG RES, V36, P749, DOI 10.1002/er.1830 Herrmann Christoph, 2014, Advanced Materials Research, V907, P391, DOI 10.4028/www.scientific.net/AMR.907.391 Houari Y, 2014, PROG PHOTOVOLTAICS, V22, P129, DOI 10.1002/pip.2359 Huskinson B, 2014, NATURE, V505, P195, DOI 10.1038/nature12909 Ibrahim H, 2008, RENEW SUST ENERG REV, V12, P1221, DOI 10.1016/j.rser.2007.01.023 Jorge RS, 2012, INT J LIFE CYCLE ASS, V17, P184, DOI 10.1007/s11367-011-0336-0 Kemp D., 1998, ENV DICT KEOLEIAN GA, 1994, J AIR WASTE MANAGE, V44, P645 Kim HC, 2006, ENERG POLICY, V34, P2310, DOI 10.1016/j.enpol.2005.04.004 Kirchhoff MM, 2003, ENVIRON SCI TECHNOL, V37, P5349, DOI 10.1021/es0346072 Kumar V., 2005, J MANUF SYST, V24, P216 Lang DJ, 2012, SUSTAIN SCI, V7, P25, DOI 10.1007/s11625-011-0149-x Larcher D, 2015, NAT CHEM, V7, P19, DOI [10.1038/NCHEM.2085, 10.1038/nchem.2085] Liu Y, 2014, J MATER CHEM A, V2, P12201, DOI 10.1039/c4ta02075h McDonough W., 2003, ENVIRON SCI TECHNOL, V37, p434A McManus MC, 2012, APPL ENERG, V93, P288, DOI 10.1016/j.apenergy.2011.12.062 Nieto N, 2014, J POWER SOURCES, V272, P291, DOI 10.1016/j.jpowsour.2014.07.169 Poizot P, 2011, ENERG ENVIRON SCI, V4, P2003, DOI 10.1039/c0ee00731e Rao ZH, 2011, RENEW SUST ENERG REV, V15, P4554, DOI 10.1016/j.rser.2011.07.096 Ribeiro PF, 2001, P IEEE, V89, P1744, DOI 10.1109/5.975900 Ribiere P, 2012, ENERG ENVIRON SCI, V5, P5271, DOI 10.1039/c1ee02218k Richa K., 2015, INT J LIFE CYCLE ASS, P1 Rudolph S, 2014, J ELECTROANAL CHEM, V728, P72, DOI 10.1016/j.jelechem.2014.05.033 Stiel A, 2012, APPL SCI-BASEL, V2, P726, DOI 10.3390/app2040726 SUN B, 1992, ELECTROCHIM ACTA, V37, P2459, DOI 10.1016/0013-4686(92)87084-D Tarascon JM, 2008, CHEMSUSCHEM, V1, P777, DOI 10.1002/cssc.200800143 U. S. Department of Energy, 2014, EN STOR SAF STRAT PL U. S. EPA, 2005, EPA630P03001F United States Department of Energy, 2013, GRID EN STOR Vazquez S, 2010, IEEE T IND ELECTRON, V57, P3881, DOI 10.1109/TIE.2010.2076414 Vesilind PA, 2010, INTRO ENV ENG Wang J, 2014, J POWER SOURCES, V269, P937, DOI 10.1016/j.jpowsour.2014.07.030 Wang X, 2014, J ENVIRON MANAGE, V135, P126, DOI 10.1016/j.jenvman.2014.01.021 Xu GY, 2015, GREEN CHEM, V17, P1668, DOI 10.1039/c4gc02185a NR 75 TC 16 Z9 16 U1 4 U2 53 PU AMER CHEMICAL SOC PI WASHINGTON PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA SN 0013-936X EI 1520-5851 J9 ENVIRON SCI TECHNOL JI Environ. Sci. Technol. PD JAN 19 PY 2016 VL 50 IS 2 BP 1046 EP 1055 DI 10.1021/acs.est.5b03867 PG 10 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA DB5OL UT WOS:000368563400059 PM 26629882 DA 2019-04-09 ER PT J AU Vos, J Hinojosa, L AF Vos, Jeroen Hinojosa, Leonith TI Virtual water trade and the contestation of hydrosocial territories SO WATER INTERNATIONAL LA English DT Article DE Hydrosocial territory; contestation; virtual water; international trade; corporate social responsibility ID INTERNATIONAL POLITICAL-ECONOMY; SCALAR POLITICS; FOOD; SUSTAINABILITY; GOVERNANCE; AGRIBUSINESS; RESOURCES; STANDARDS; CONFLICTS; INSIGHTS AB Growing trade in virtual water - the water used to produce exported products from agriculture and mining sectors - affects local communities and the environment, and transforms hydrosocial territories. National and international water regulations reshape communities' hydrosocial territories by changing water governance structures to favour export commodity sectors, often inducing strong contestation from local communities. Transnational companies formulate and enforce global water governance arrangements oriented toward strengthening export production chains, often through asymmetrical relationships with local groups in water-export regions. These arrangements compromise political representation and water security for both local communities and companies. C1 [Vos, Jeroen; Hinojosa, Leonith] Wageningen Univ, Dept Environm Sci, NL-6700 AP Wageningen, Netherlands. [Hinojosa, Leonith] Catholic Univ Louvain, Earth & Life Inst, Louvain La Neuve, Belgium. RP Vos, J (reprint author), Wageningen Univ, Dept Environm Sci, NL-6700 AP Wageningen, Netherlands. EM jeroen.vos@wur.nl OI Vos, Jeroen/0000-0002-4716-8682 FU Transnationalization of Local Water Battles research programme - Netherlands Organization for Scientific Research (NWO) FX The research for this article was carried out under the umbrella of the international Justicia Hidrica/Water Justice Alliance (www.justiciahidrica.org) and the Transnationalization of Local Water Battles research programme, financed by the Netherlands Organization for Scientific Research (NWO). CR Allan JA, 2003, WATER INT, V28, P106, DOI 10.1080/02508060.2003.9724812 Allan JA, 1998, GROUND WATER, V36, P545, DOI 10.1111/j.1745-6584.1998.tb02825.x Amekawa Y, 2009, J AGR ENVIRON ETHIC, V22, P531, DOI 10.1007/s10806-009-9171-8 Awange JL, 2013, ADV WATER RESOUR, V60, P7, DOI 10.1016/j.advwatres.2013.07.002 Baines J, 2014, NEW POLIT ECON, V19, P79, DOI 10.1080/13563467.2013.768611 Bauer C. J., 2005, International Journal of Water, V3, P146, DOI 10.1504/IJW.2005.007283 Blackmore E., 2012, NATURAL RESOURCE ISS, V25 Boelens R, 2016, WATER INT, V41, P1, DOI 10.1080/02508060.2016.1134898 Boelens R, 2012, AGR WATER MANAGE, V108, P16, DOI 10.1016/j.agwat.2011.06.013 Budds J, 2009, GEOFORUM, V40, P418, DOI 10.1016/j.geoforum.2008.12.008 Burch D, 2009, AGR HUM VALUES, V26, P267, DOI 10.1007/s10460-009-9219-4 Caceres DM, 2015, J AGRAR CHANGE, V15, P116, DOI 10.1111/joac.12057 CAMPBELL H, 2005, INT J SOCIOLOGY FOOD, V13, P1 Carolan M., 2012, SOCIOLOGY FOOD AGR Castro J. E., 2008, Development (London), V51, P72, DOI 10.1057/palgrave.development.1100440 Chapagain AK, 2005, VALUE WATER RES REPO, V18 Chen ZM, 2013, ECOL INDIC, V28, P142, DOI 10.1016/j.ecolind.2012.07.024 Clapp J, 2009, FOOD HEALTH ENVIRON, V4, P1 Conferencia de las Naciones Unidas sobre Comercio y Desarrollo (UNCTAD), 2007, UNCTADWEBITEIIA20072 Conn C., 2015, TELE SUR 0512 Cotula L, 2012, J PEASANT STUD, V39, P649, DOI 10.1080/03066150.2012.674940 Dabrowski JM, 2009, ECOL ECON, V68, P1074, DOI 10.1016/j.ecolecon.2008.07.016 Dalin C, 2012, P NATL ACAD SCI USA, V109, P5989, DOI 10.1073/pnas.1203176109 Dauvergne P, 2012, GLOBAL ENVIRON CHANG, V22, P36, DOI 10.1016/j.gloenvcha.2011.10.007 Debbane AM, 2013, ENVIRON PLANN A, V45, P2553, DOI 10.1068/a45693 DeFries RS, 2010, NAT GEOSCI, V3, P178, DOI 10.1038/NGEO756 Del Moral L, 2014, WATER INT, V39, P333, DOI 10.1080/02508060.2013.878816 Delaney D., 2008, TERRITORY SHORT INTR EC - European Commission, 2012, 10 BEN TRAD DEV COUN FAO, 2010, AGR INV FUNDS DEV CO Fulponi L, 2007, GLOBAL SUPPLY CHAINS, STANDARDS AND THE POOR: HOW THE GLOBALIZATION OF FOOD SYSTEMS AND STANDARDS AFFECTS RURAL DEVELOPMENT AND POVERTY, P5, DOI 10.1079/9781845931858.0005 Gana A., 2012, International Journal of Sociology of Agriculture and Food, V19, P201 Gaybor A., 2011, JUSTICIA HIDRICA ACU, P195 Gibbon P., 2005, TRADING AFRICA VALUE Goger A, 2014, CAPTURING GAINS AFRI GRAIN, 2014, 10 GRAIN EJOLT GRAIN, 2012, GRAIN REP Hall R, 2015, J PEASANT STUD, V42, P467, DOI 10.1080/03066150.2015.1036746 Hazelton J, 2014, PAC ACCOUNT REV, V26, P8, DOI 10.1108/PAR-07-2013-0074 Helwege A, 2015, EXTR IND SOC, V2, P73, DOI 10.1016/j.exis.2014.10.003 Hoekstra A.Y., 2008, GLOBALIZATION WATER Hoogesteger J, 2015, GEOFORUM, V62, P13, DOI 10.1016/j.geoforum.2015.03.013 International Council on Mining and Metals (ICMM), 2014, SUST DEV FRAM Khan S, 2009, FOOD POLICY, V34, P130, DOI 10.1016/j.foodpol.2008.09.001 La Via Campesina, 2013, NO WTO FREE TRAD AGR Langan M, 2011, DEV CHANGE, V42, P1207, DOI 10.1111/j.1467-7660.2011.01732.x Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Longo S, 2008, RURAL SOCIOL, V73, P82, DOI 10.1526/003601108783575853 Lopez-Gunn E., 2009, Water Alternatives, V2, P370 McMichael P, 2009, J PEASANT STUD, V36, P139, DOI 10.1080/03066150902820354 Mehta L., 2012, Water Alternatives, V5, P193 Moreda T, 2015, J PEASANT STUD, V42, P517, DOI 10.1080/03066150.2014.993621 Murphy S., 2008, Development (London), V51, P527, DOI 10.1057/dev.2008.57 Palau T., 2007, REFUGIADOS MODELO AG Pearson R, 2007, THIRD WORLD Q, V28, P731, DOI 10.1080/01436590701336622 Pena F., 2011, JUSTICIA HIDRICA ACU, P209 Progressio, 2010, DROP DROP UND IMP UK Quintana V., 2013, APUNTES, V40, P131 Roth D, 2008, AGR HUM VALUES, V25, P257, DOI 10.1007/s10460-007-9096-7 Scott J., 1985, WEAPONS WEAK EVERYDA Scott J. C., 1998, SEEING STATE CERTAIN Scudder T., 2005, FUTURE LARGE DAMS DE Seekell D., 2011, ENVIRON RES LETT, V6, DOI [10.1088/17489326/6/2/024017, DOI 10.1088/17489326/6/2/024017] Shah T, 2007, WATER FOOD WATER LIF, P395 Smaller C., 2009, THIRST DISTANT LANDS Sojamo S., 2012, Water Alternatives, V5, P619 Sojamo S, 2012, WATER INT, V37, P169, DOI 10.1080/02508060.2012.662734 Solanes M, 2010, WATER RESOUR DEV MAN, P209, DOI 10.1007/978-3-642-04615-5_11 Solanes Miguel, 2007, SERIE RECURSOS NATUR, V129 Sosa M, 2014, CURR OPIN ENV SUST, V11, P19, DOI 10.1016/j.cosust.2014:09.013 Suweis S, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL046837 Swyngedouw E, 2013, ANN ASSOC AM GEOGR, V103, P261, DOI 10.1080/00045608.2013.754688 Van der Ploeg J. D, 2008, NEW PEASANTRIES STRU Van Der Ploeg JD, 2010, J AGRAR CHANGE, V10, P98, DOI 10.1111/j.1471-0366.2009.00251.x Vestergaard J, 2012, PALGR STUD INT RELAT, P172 Vos J., 2014, MINERIA AGUA JUSTICI, P203 Vos J, 2014, DEV CHANGE, V45, P205, DOI 10.1111/dech.12083 Wada Y, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044571 Waldman KB, 2014, ANNU REV RESOUR ECON, V6, P429, DOI 10.1146/annurev-resource-100913-012432 Wichelns D, 2010, WATER RESOUR MANAG, V24, P2203, DOI 10.1007/s11269-009-9547-6 Word J, 2014, SURRENDERING OUR FUT Yacoub C, 2013, ENVIRON MONIT ASSESS, V185, P7961, DOI 10.1007/s10661-013-3147-x Zapatta A., 2013, SERIE AGUA SOC, V19 Zeitoun M, 2009, GROUND WATER, V47, P146, DOI 10.1111/j.1745-6584.2008.00487.x Zhao JingZhu, 2005, International Journal of Sustainable Development and World Ecology, V12, P419 NR 85 TC 4 Z9 4 U1 6 U2 27 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0250-8060 EI 1941-1707 J9 WATER INT JI Water Int. PD JAN 2 PY 2016 VL 41 IS 1 SI SI BP 37 EP 53 DI 10.1080/02508060.2016.1107682 PG 17 WC Engineering, Civil; Water Resources SC Engineering; Water Resources GA DC8VV UT WOS:000369498700003 DA 2019-04-09 ER PT J AU Tortola, PD AF Tortola, Pier Domenico TI Europeanization in Time: Assessing the Legacy of URBAN in a Mid-size Italian City SO EUROPEAN PLANNING STUDIES LA English DT Article DE URBAN community initiative; mainstreaming; Europeanization; Pescara; ERDF ID INSTITUTIONAL CHANGE; POLICY; GOVERNANCE; COHESION AB The 2007 mainstreaming of URBAN raised important questions about the sustainability of its regeneration approach under the new regulatory regime, and particularly about the policy legacy left by this Community Initiative in its participating cities. Taking advantage of the recent conclusion of the 2007-2013 programming period, these questions are tackled here both theoretically and empirically. Building on the general model of Europeanization, the article posits a trade-off between local misfit with the URBAN approach and the durability of the policy change induced by the scheme. The argument is then illustrated through an in-depth study of Pescara, a mid-size Italian city that participated successfully in URBAN only to lose most of its policy innovations in the immediately subsequent programming period, when it took part in the country's mainstreamed funding scheme, the Programmi integrati di sviluppo urbano. With hindsight, the study suggests that URBAN was set up to fail exactly those cities with little experience in integrated and participatory regeneration that it was supposed to help the most. It also concludes that future European Union policy-making and implementation should factor in the misfit/durability trade-off to maximize effectiveness given the Union's goals as well as its involvement expectations. C1 [Tortola, Pier Domenico] Univ Milan, Dept Social & Polit Sci, I-20122 Milan, Italy. [Tortola, Pier Domenico] Coll Carlo Alberto, Moncalieri, TO, Italy. RP Tortola, PD (reprint author), Univ Milan, Dept Social & Polit Sci, Via Conservatorio 7, I-20122 Milan, Italy. EM pierdomenico.tortola@unimi.it OI Tortola, Pier Domenico/0000-0003-4865-572X CR Adshead M, 2014, EUR URBAN REG STUD, V21, P416, DOI 10.1177/0969776413490426 Bianchetti C., 1997, PESCARA Bohme K, 2008, EUROPEAN SPATIAL RESEARCH AND PLANNING, P225 Carpenter J., 2013, ROUTLEDGE COMPANION, P138 Celata F, 2014, LOCAL ECON, V29, P394, DOI 10.1177/0269094214533903 CLARK J, 2009, SPACE POLITY, V3, P193, DOI DOI 10.1080/13562570903454291 Colapietra R., 1980, PESCARA 1860 1927 Cotella G, 2011, DISP, V47, P42, DOI 10.1080/02513625.2011.10557143 Czernielewska M, 2004, REGIONAL FEDERAL STU, V14, P461, DOI DOI 10.1080/1359756042000261397 Dossi S, 2012, REG FED STUD, V22, P159, DOI 10.1080/13597566.2012.677137 European Commission, 1999, EUR SPAT DEV PERSP B European CommissionDG Regio, 1997, EU COMP SPAT PLANN S Faludi A, 2004, URBAN STUD, V41, P1349, DOI 10.1080/0042098042000214833 Faludi A., 2002, MAKING EUROPEAN SPAT Frank Susanne, 2006, SPATIAL PLANNING URB, P39 Giannakourou G, 2005, EUR PLAN STUD, V13, P319, DOI 10.1080/0365431042000321857 Giannakourou G, 2012, PLAN PRACT RES, V27, P117, DOI 10.1080/02697459.2012.661195 GOETZ KH, 2005, MEMBER STATES EUROPE, P254 Gualini E, 2001, EUR PLAN STUD, V9, P755, DOI 10.1080/09654310120073801 HALL P, 1993, URBAN STUD, V30, P883, DOI 10.1080/00420989320080831 Halpern C, 2005, ENVIRON PLANN C, V23, P697, DOI 10.1068/c0416 Heritier A., 2001, TRANSFORMING EUROPE, P44 Janin Rivolin U., 2003, TOWN PLANN REV, V74, P51, DOI DOI 10.3828/TPR.74.1.4 Olsen JP, 2002, J COMMON MARK STUD, V40, P921, DOI 10.1111/1468-5965.00403 Pasqui G., 2011, TERRITORIO, V57, P147, DOI [10.3280/TR2011-057019, DOI 10.3280/TR2011-057019] Radaelli C. M, 2003, POLITICS EUROPEANIZA, P27, DOI DOI 10.1093/0199252092.003.0002 Rivolin UJ, 2005, EUR PLAN STUD, V13, P195, DOI 10.1080/0965431042000321785 Sedelmeier Uli, 2012, OXFORD HDB EUROPEAN, P825 Sedelmeier U, 2012, WEST EUR POLIT, V35, P20, DOI 10.1080/01402382.2012.631311 Tofarides M., 2003, URBAN POLICY EUROPEA Tortola PD, 2013, PUBLIUS J FEDERALISM, V43, P648, DOI 10.1093/publius/pjs066 Zerbinati S, 2004, J EUR PUBLIC POLICY, V11, P1000, DOI 10.1080/1350176042000298075 NR 32 TC 1 Z9 1 U1 1 U2 7 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0965-4313 EI 1469-5944 J9 EUR PLAN STUD JI Eur. Plan. Stud. PD JAN 2 PY 2016 VL 24 IS 1 BP 96 EP 115 DI 10.1080/09654313.2015.1062083 PG 20 WC Environmental Studies; Geography; Regional & Urban Planning; Urban Studies SC Environmental Sciences & Ecology; Geography; Public Administration; Urban Studies GA CY1UA UT WOS:000366192200006 DA 2019-04-09 ER PT J AU Podimata, MV Yannopoulos, PC AF Podimata, Marianthi V. Yannopoulos, Panayotis C. TI A conceptual approach to model sand-gravel extraction from rivers based on a game theory perspective SO JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT LA English DT Article DE sand-gravel extraction; riverine mining; game theory; mineral policy; mining legislation ID DAM CONSTRUCTION; WATER-RESOURCES; MANAGEMENT; SUSTAINABILITY; CONFLICT; IMPACT; BASIN; INDIA; COAST AB Sand-gravel mining is a significant parameter of economic development and social welfare function in modern societies. As demand for aggregate increases in construction industry, conflicts for the availability of the resource and environmental impacts become more intense. The present paper describes the contested status quo in riverbed sand-gravel mining activities with an example from Greece, as a case study. The scope is to propose a methodology about good governance of the mining sector that promotes a sustainable sharing of aggregate resource by securing environment and safekeeping revenues in the mining trade market. C1 [Podimata, Marianthi V.; Yannopoulos, Panayotis C.] Univ Patras, Dept Civil Engn, Environm Engn Lab, GR-26110 Patras, Greece. RP Yannopoulos, PC (reprint author), Univ Patras, Dept Civil Engn, Environm Engn Lab, GR-26110 Patras, Greece. EM yannopp@upatras.gr CR Arellano-Yanguas J, 2011, J DEV STUD, V47, P617, DOI 10.1080/00220381003706478 Ashraf M.A., 2011, SCI RES ESSAYS, DOI [10.5897/SRE10.690, DOI 10.5897/SRE10.690] Boudaghpour Siamak, 2008, WSEAS Transactions on Environment and Development, V4, P430 Brown AV, 1998, T AM FISH SOC, V127, P979, DOI 10.1577/1548-8659(1998)127<0979:IOGMOG>2.0.CO;2 Brown T, 2011, RESOUR POLICY, V36, P295, DOI 10.1016/j.resourpol.2011.07.001 CEC (Commission of the European Communities), 2008, COM2008699 CEC Chul K., 2005, KSCE J CIV ENG, V9, P45 Demetracopoulos A. C., 2010, TECHNICAL REPORT Dinar A, 2008, ROUTL EXPLOR ENVIRON, P1 DINAR A, 2009, POLICY STRATEGIC BEH DNR (Directorate of Natural Resources), 2003, E O MAN PLAN NAT WAT EC (European Commission), 2008, COM201125 EC EC (European Commission), 2011, COM252011 EC ECEDG (European Commission Enterprise Directorate General), 2004, MIN PLANN POL SUPPL EEA (European Environment Agency), 2008, 2 EEA Eleftheriadou E, 2008, J WATER RES PL-ASCE, V134, P466, DOI 10.1061/(ASCE)0733-9496(2008)134:5(466) European Commission, 2010, IMPR FRAM COND EXTR Eurostat, 2013, OTH MIN QUARR STAT Gardner R., 1990, RATION SOC, V2, P335, DOI DOI 10.1177/1043463190002003005 Ghionis G, 2013, J COASTAL RES, P2119, DOI 10.2112/SI65-358.1 HARDIN G, 1968, SCIENCE, V162, P1243 Hilson G, 2002, LAND USE POLICY, V19, P65, DOI 10.1016/S0264-8377(01)00043-6 Ibisate A, 2011, LIMNETICA, V30, P169 Jaeger WK, 2006, RESOUR POLICY, V31, P146, DOI 10.1016/j.resourpol.2006.12.003 Kondolf M, 1997, ENVIRON MANAGE, V21, P533, DOI DOI 10.1007/S002679900048 Kriz A., 2011, INT J ENV PROTECTION, V1, P63 Madani K, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010849 Madani K, 2012, ECOL ECON, V74, P34, DOI 10.1016/j.ecolecon.2011.12.006 Madani K, 2010, J HYDROL, V381, P225, DOI 10.1016/j.jhydrol.2009.11.045 Mahjouri N, 2011, ENVIRON MONIT ASSESS, V172, P157, DOI 10.1007/s10661-010-1324-8 Manariotis ID, 2004, ENVIRON MANAGE, V34, P261, DOI 10.1007/s00267-004-0069-y Martin-Vide JP, 2010, GEOMORPHOLOGY, V117, P261, DOI 10.1016/j.geomorph.2009.01.019 Maya K., 2014, IMPACTS RIVER SAND M McKelvey R. D., 2010, GAMBIT SOFTWARE TOOL Menegaki ME, 2010, RESOUR POLICY, V35, P235, DOI 10.1016/j.resourpol.2010.01.003 Nicholas AP, 1999, BRIT GEOMOR, P117 Ostrom E, 1990, GOVERNING COMMONS EV Ostrom E., 1994, RULES GAMES COMMON P Padmalal D, 2008, ENVIRON GEOL, V54, P879, DOI 10.1007/s00254-007-0870-z Parrachino I., 2006, 4074 WORLD BANK, DOI [10.1596/1813-9450-4074, DOI 10.1596/1813-9450-4074] Poorsepahy-Samian H, 2012, WATER RESOUR MANAG, V26, P4241, DOI 10.1007/s11269-012-0142-x Sreebha S, 2011, ENVIRON MANAGE, V47, P130, DOI 10.1007/s00267-010-9571-6 Tiainen H, 2014, RESOUR POLICY, V39, P80, DOI 10.1016/j.resourpol.2013.11.005 USFWS (United States Fish and Wildlife Service), 2006, SED REM ACT STREAM C von Neumann J., 1944, THEORY GAMES EC BEHA Yannopoulos P. C., 2005, 5 NAT C INT WAT RES, P275 Zara S., 2006, 4073 WORLD BANK, DOI [10.1596/1813-9450-4073, DOI 10.1596/1813-9450-4073] Zhang WeiKang, 2011, Journal of Management and Sustainability, V1, P124 NR 48 TC 3 Z9 3 U1 1 U2 27 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND SN 0964-0568 EI 1360-0559 J9 J ENVIRON PLANN MAN JI J. Environ. Plan. Manag. PD JAN 2 PY 2016 VL 59 IS 1 BP 120 EP 141 DI 10.1080/09640568.2014.991381 PG 22 WC Development Studies; Regional & Urban Planning SC Development Studies; Public Administration GA CV8SI UT WOS:000364557600007 DA 2019-04-09 ER PT J AU Lenschow, A Newig, J Challies, E AF Lenschow, Andrea Newig, Jens Challies, Edward TI Globalization's limits to the environmental state? Integrating telecoupling into global environmental governance SO ENVIRONMENTAL POLITICS LA English DT Article DE teleconnections; telecoupled systems; sustainability governance; interregional connectedness ID SOCIAL-ECOLOGICAL SYSTEMS; ECONOMIC-GEOGRAPHY; LAND-CHANGE; SUSTAINABILITY; TELECONNECTIONS; FUTURE; BRAZIL; PHOSPHORUS; NETWORKS; POLITICS AB Globalization entails increased interdependence and interconnectivities among distal regions and social-ecological systems. This global interregional connectedness - telecoupling - gives rise to specific sustainability challenges, which require new governance solutions. Moving beyond scaling-up' governance to address global environmental problems, and exploring the implications of telecoupling for state-led environmental governance, ways the state can effectively address telecoupled environmental issues both within and beyond national borders are addressed, drawing on the example of soy trade between Brazil and Germany. This builds on recent contributions to the literature on governance of interregional ecological challenges to elaborate potential policy and governance options, ranging from classical bilateral, multilateral, and international agreements, to information-based, economic, and hybrid governance modes. While telecoupled environmental problems create governance challenges related to scale, knowledge gaps, coordination, and state capacity, the state has an important role to play. To explore this further, interdisciplinary inquiry is required that includes but moves beyond the state. C1 [Lenschow, Andrea] Univ Osnabruck, Fachbereich Kultur & Sozialwissensch, Inst Sozialwissensch, Osnabruck, Germany. [Newig, Jens; Challies, Edward] Univ Luneburg, Res Grp Governance Participat & Sustainabil, D-21335 Luneburg, Germany. RP Lenschow, A (reprint author), Univ Osnabruck, Fachbereich Kultur & Sozialwissensch, Inst Sozialwissensch, Osnabruck, Germany. EM andrea.lenschow@uni-osnabrueck.de CR Adger WN, 2009, FRONT ECOL ENVIRON, V7, P150, DOI 10.1890/070148 Amado T. J. C., 2007, MANEJO FERTILIDADE S, P99 Amin A, 1997, THEOR CULT SOC, V14, P123, DOI 10.1177/026327697014002011 Ansell C, 2012, GLOBAL GOV, V18, P317, DOI 10.1163/19426720-01803005 Bair Jennifer, 2009, FRONTIERS COMMODITY, P1 Barry J., 2005, STATE GLOBAL ECOLOGI Bhagwati J., 2007, DEFENSE GLOBALIZATIO Biermann F, 2004, GLOBAL ENVIRON POLIT, V4, P1, DOI DOI 10.1162/152638004773730185 Biermann F, 2012, CURR OPIN ENV SUST, V4, P51, DOI 10.1016/j.cosust.2012.01.014 Borjeson L, 2006, FUTURES, V38, P723, DOI 10.1016/j.futures.2005.12.002 Brown K, 2009, GOVERNING SUSTAINABI, P32 Bulkeley H, 2012, ENVIRON PLANN C, V30, P556, DOI 10.1068/c3004ed Carter N, 2007, POLITICS OF THE ENVIRONMENT: IDEAS, ACTIVISM, POLICY, 2ND EDITION, P241 Castells M., 1996, INFORM AGE EC SOC CU, V1 Challies E, 2014, GLOBAL ENVIRON CHANG, V27, P32, DOI 10.1016/j.gloenvcha.2014.04.015 CHAYES A, 1993, INT ORGAN, V47, P175, DOI 10.1017/S0020818300027910 Childers DL, 2011, BIOSCIENCE, V61, P117, DOI 10.1525/bio.2011.61.2.6 Compagnon D, 2012, EARTH SYST GOV, P237 DUIT A, 2010, GLOBAL ENVIRON CHANG, V20, P363, DOI DOI 10.1016/j.gloenvcha.2010.04.006 Eakin H, 2014, STRUNGMANN FORUM REP, P141 EEA, 2001, REP ENV MEAS AR WE B EEA, 1999, CONTR EU MON REP SOU Elliott L, 2004, GLOBAL POLITICS ENV Faust J., 2006, LATEINAMERIKA ANAL, V15, P95 Fearnside PM, 2001, ENVIRON CONSERV, V28, P23, DOI 10.1017/S0376892901000030 Glin LC, 2012, GLOBAL NETW, V12, P333, DOI 10.1111/j.1471-0374.2011.00340.x Grenz J, 2007, GAIA, V16, P208, DOI 10.14512/gaia.16.3.12 Gruere G. P., 2006, ANAL TRADE RELATED I Hanley N., 2007, ENV EC THEORY PRACTI HANSEN S, 1989, ECOL ECON, V1, P77 Harris R. L., 2006, GLOBALIZATION SUSTAI Hay C., 2008, OXFORD HDB PUBLIC PO HELD David, 1999, GLOBAL TRANSFORMATIO Hess M, 2006, ENVIRON PLANN A, V38, P1193, DOI 10.1068/a38463 Hoffmann-Riem W., 2011, GOVERNANCE PERSPEKTI Holzinger K, 2008, ENVIRONMENTAL POLICY CONVERGENCE IN EUROPE: THE IMPACT OF INTERNATIONAL INSTITUTIONS AND TRADE, P1, DOI 10.1017/CBO9780511491962 Hooghe L, 2003, AM POLIT SCI REV, V97, P233 Hospes O, 2012, INT FOOD AGRIBUS MAN, V15, P39 Hughes A, 2004, GEOGRAPHIES COMMODIT Jorgens H, 2014, UNDERSTANDING ENVIRONMENTAL POLICY CONVERGENCE: THE POWER OF WORDS, RULES AND MONEY, P1 Kaimowitz D, 2001, AGRICULTURAL TECHNOLOGIES AND TROPICAL DEFORESTATION, P195, DOI 10.1079/9780851994512.0195 Kessler J. J., 2007, Journal of Environment & Development, V16, P131, DOI 10.1177/1070496507302516 Kissinger M, 2011, ENVIRON SCI POLICY, V14, P965, DOI 10.1016/j.envsci.2011.05.007 Kissinger M, 2010, ECOL MODEL, V221, P2615, DOI 10.1016/j.ecolmodel.2010.07.003 Krapivin VF, 2007, GLOBALIZATION SUSTAI Lanje K., 2005, PERSPEKTIVEN NACHHAL Lazer D, 2001, J EUR PUBLIC POLICY, V8, P474, DOI 10.1080/13501760110056077 Lenschow A., 1998, GLOBAL COMPETITION E, P161 Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Liu JG, 2015, SCIENCE, V347, DOI 10.1126/science.1258832 Liu JG, 2013, ECOL SOC, V18, DOI 10.5751/ES-05873-180226 Lowe P., 2009, GOVERNING SUSTAINABI, P76 McGrew A., 1997, TRANSFORMATION DEMOC, P231 Meadowcroft J, 2002, LANDSCAPE URBAN PLAN, V61, P169, DOI 10.1016/S0169-2046(02)00111-1 Meadowcroft J, 2012, AM COMP ENVIRON POLI, P63 Meyfroidt P, 2013, CURR OPIN ENV SUST, V5, P438, DOI 10.1016/j.cosust.2013.04.003 Mol A. P. J., 2001, GLOBALIZATION ENV RE, P71 Mose I., 2007, OKOLOGISCHE PROBLEMR, P133 Moser SC, 2015, CLIMATIC CHANGE, V129, P13, DOI 10.1007/s10584-015-1328-z Munroe DK, 2014, GEOFORUM, V52, P12, DOI 10.1016/j.geoforum.2013.12.005 Neset TSS, 2012, J SCI FOOD AGR, V92, P2, DOI 10.1002/jsfa.4650 Newell P., 2012, GLOBALIZATION ENV CA Newig J., 2010, ECOLOGY SOC, V15, P4 Olsson P, 2006, ECOL SOC, V11 Osorio-Peters S., 2003, SOJA SO NEIN Pattberg P., 2006, ENV GOVERNANCE GLOBA, P386 Ponte S, 2011, GOVERNING STANDARDS Quark AA, 2012, REV INT POLIT ECON, V19, P895, DOI 10.1080/09692290.2011.619115 Reichenbach H. W., 1998, SOJA, P30 Reichert T., 2011, SAUMAGEN REGENWALD K Rudra N., 2008, GLOBALIZATION RACE B Sachs W, 1999, GLOBALIZATION SUSTAI Sarzeaud P., 2008, EU BEEF FARMING SYST Scholte JA, 2010, CORP GOV-INT J BUS S, V10, P459, DOI 10.1108/14720701011069687 Schouten G., 2012, INT FOOD AGRIBUS MAN, V15, P53 Seto KC, 2012, P NATL ACAD SCI USA, V109, P7687, DOI 10.1073/pnas.1117622109 Sheppard E, 2002, ECON GEOGR, V78, P307, DOI 10.2307/4140812 Skocpol Theda, 1985, BRINGING STATE BACK, P3, DOI DOI 10.1017/CBO9780511628283 Sonnenfeld DA, 2008, GLOBAL ENVIRON CHANG, V18, P341, DOI 10.1016/j.gloenvcha.2008.06.002 Spaargaren Gert, 2006, GOVERNING ENV FLOWS, P39 Speth J. G., 2006, GLOBAL ENV GOVERNANC Steinfeld H, 2010, LIVESTOCK CHANGING L Stewart R. B., 1992, UNIV CHICAGO LEG FOR, V1992, P41 Swyngedouw E, 2005, URBAN STUD, V42, P1991, DOI 10.1080/00420980500279869 SWYNGEDOUW E, 1997, PERSPECT ECON CHANGE, P137 Thai KV, 2007, PUBLIC ADM PUBLIC PO, V130, P1 Velten S., 2009, PERSPEKTIVEN NACHHAL Vercelli A., 2006, ENV INEQUALITY COLLE, P9 Warning M., 2006, MULTILEVEL GOVERNANC, P305 Weiss E.B., 1998, ENGAGING COUNTRIES S WTO, 2012, WTO RUL ENV POL GATT Yellishetty M, 2010, RESOUR CONSERV RECY, V54, P1084, DOI 10.1016/j.resconrec.2010.03.003 Yeung HWC, 2002, ECON GEOGR, V78, P285, DOI 10.2307/4140811 Young O.R., 1999, EFFECTIVENESS INT EN Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004 Young OR, 2008, INSTITUTIONS AND ENVIRONMENTAL CHANGE: PRINCIPAL FINDINGS, APPLICATIONS, AND RESEARCH FRONTIERS, P3 Yu Y, 2013, GLOBAL ENVIRON CHANG, V23, P1178, DOI 10.1016/j.gloenvcha.2013.04.006 Zoomers A, 2010, J PEASANT STUD, V37, P429, DOI 10.1080/03066151003595325 NR 98 TC 21 Z9 22 U1 4 U2 62 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND SN 0964-4016 EI 1743-8934 J9 ENVIRON POLIT JI Environ. Polit. PD JAN 2 PY 2016 VL 25 IS 1 SI SI BP 136 EP 159 DI 10.1080/09644016.2015.1074384 PG 24 WC Environmental Studies; Political Science SC Environmental Sciences & Ecology; Government & Law GA CV4GW UT WOS:000364226100007 DA 2019-04-09 ER PT J AU Macchi, L Grau, HR Phalan, B AF Macchi, Leandro Grau, Hector Ricardo Phalan, Ben TI Agricultural production and bird conservation in complex landscapes of the dry Chaco SO JOURNAL OF LAND USE SCIENCE LA English DT Article DE sustainability science; land use change; ecological indicators; South America; semi-arid environment; land sparing; land sharing; conservation strategies ID LAND-USE; FOOD-PRODUCTION; SOUTH-AMERICA; GRAN CHACO; TRADE-OFFS; ARGENTINA; DEFORESTATION; FOREST; COVER; BIODIVERSITY AB The South American dry Chaco is a mosaic of woody vegetation and grasslands with high deforestation rates in recent decades. Considering forests and grasslands as the main natural habitats, we assessed the trade-offs between bird populations and agricultural production to compare the potential consequences of different land use strategies ('sharing', 'sparing', and intermediate) for populations of bird species sensitive to agriculture, while attaining a regional production target. We evaluated how populations responded to scenarios with different proportions of forest and grasslands, considering three reference states (100% forest, 80:20% and 50:50% forest and grasslands, respectively); and scenarios capable of meeting three after-farming scenarios, with land destined to reach a regional production target with three variations of forest: grasslands within spared land. We fitted curves to relate bird abundance to agricultural yield along a gradient of meat production intensity; and we classified bird species as 'losers' (if their populations were lower than the baseline population in the reference state, at any level of production) and 'winners' (if their current populations were higher than the baseline population). At the 'current' (c. 2010) level of regional agricultural production, we found a similar number of loser species maximized by land-sparing and land-sharing strategies; while intermediate strategies were the least favourable to balance production and bird populations. Under the most probable scenarios of increases in regional meat production, most loser bird species populations were maximized by a land-sparing strategy, suggesting that if meat production targets are going to increase in the region, this can be more efficiently achieved by combining well-protected forests and grasslands, and high-yielding mechanized agriculture (e.g. soybean). Our results highlight the importance of assessing all the important natural habitats (e.g. forests and grasslands) of a region to explore conservation strategies at a regional scale. C1 [Macchi, Leandro; Grau, Hector Ricardo] Consejo Nacl Invest Cient & Tecn, Inst Ecol Reg, San Miguel De Tucuman, Argentina. [Macchi, Leandro] Alexander von Humboldt Univ, Humboldt Geog Dept, Berlin, Germany. [Phalan, Ben] Univ Cambridge, Dept Zool, Cambridge, England. RP Macchi, L (reprint author), Consejo Nacl Invest Cient & Tecn, Inst Ecol Reg, San Miguel De Tucuman, Argentina.; Macchi, L (reprint author), Alexander von Humboldt Univ, Humboldt Geog Dept, Berlin, Germany. EM leandromacchi@gmail.com RI Phalan, Benjamin/A-5783-2009 OI Phalan, Benjamin/0000-0001-7876-7226 FU PICT [1693]; PIUNT [26-G420] FX Financial support for this research was provided by PICT [grant number 2006 #1693] 'Cambios y eficiencia de uso del territorio en el Chaco Argentino' and additional funds from PIUNT [grant number 26-G420]. CR ADAMOLI J, 1990, J BIOGEOGR, V17, P491, DOI 10.2307/2845381 Aide TM, 2013, BIOTROPICA, V45, P262, DOI 10.1111/j.1744-7429.2012.00908.x Altrichter M, 2006, ORYX, V40, P302, DOI 10.1017/S0030605306000731 Blanco L., 2005, NIVELES DEGRADACION Bucher EH, 1999, J ENVIRON MANAGE, V57, P99, DOI 10.1006/jema.1999.0290 Byerlee D, 2014, GLOB FOOD SECUR-AGR, V3, P92, DOI 10.1016/j.gfs.2014.04.001 Clark ML, 2010, REMOTE SENS ENVIRON, V114, P2816, DOI 10.1016/j.rse.2010.07.001 Deregibus V. A., 1988, Revista Argentina de Produccion Animal, V8, P67 Eldridge DJ, 2011, ECOL LETT, V14, P709, DOI 10.1111/j.1461-0248.2011.01630.x Gasparri NI, 2013, GLOBAL ENVIRON CHANG, V23, P1605, DOI 10.1016/j.gloenvcha.2013.09.007 Grau HR, 2008, GLOBAL CHANGE BIOL, V14, P985, DOI 10.1111/j.1365-2486.2008.01554.x Grau HR, 2005, ENVIRON CONSERV, V32, P140, DOI 10.1017/S0376892905002092 Grau R, 2013, CURR OPIN ENV SUST, V5, P477, DOI 10.1016/j.cosust.2013.06.001 Green RE, 2005, SCIENCE, V307, P550, DOI 10.1126/science.1106049 Hansen MC, 2013, SCIENCE, V342, P850, DOI 10.1126/science.1244693 Gasparri NI, 2009, FOREST ECOL MANAG, V258, P913, DOI 10.1016/j.foreco.2009.02.024 IRIONDO MH, 1993, PALAEOGEOGR PALAEOCL, V101, P209, DOI 10.1016/0031-0182(93)90013-9 Kunst C, 2014, AGROFOREST SYST, V88, P157, DOI 10.1007/s10457-013-9663-4 Lambin EF, 2013, GLOBAL ENVIRON CHANG, V23, P892, DOI 10.1016/j.gloenvcha.2013.05.005 Lambin EF, 2011, P NATL ACAD SCI USA, V108, P3465, DOI 10.1073/pnas.1100480108 Lapitz Rocio, 2004, SOJA CARNE MERCOSUR Macchi L, 2012, J ARID ENVIRON, V87, P176, DOI 10.1016/j.jaridenv.2012.06.003 Macchi L, 2013, AGR ECOSYST ENVIRON, V174, P11, DOI 10.1016/j.agee.2013.04.011 Martin G. O., 2005, SERIE DIDACTICA, V78, P1 Mastrangelo ME, 2012, CONSERV BIOL, V26, P1040, DOI 10.1111/j.1523-1739.2012.01904.x May JH, 2008, PALAEOGEOGR PALAEOCL, V260, P505, DOI 10.1016/j.palaeo.2007.12.009 Minetti J. L, 1999, ATLAS CLIMATICO NORO Morello J. C., 1959, REV AGRONOMICA NORES, V3, P581 Phalan B, 2011, SCIENCE, V333, P1289, DOI 10.1126/science.1208742 Phalan B, 2011, FOOD POLICY, V36, pS62, DOI 10.1016/j.foodpol.2010.11.008 Grau HR, 2015, J ARID ENVIRON, V123, P40, DOI 10.1016/j.jaridenv.2014.12.006 SHORT L L, 1975, Bulletin of the American Museum of Natural History, V154, P163 Smil V, 2013, SHOULD WE EAT MEAT? : EVOLUTION AND CONSEQUENCES OF MODERN CARNIVORY, P1, DOI 10.1002/9781118278710 Smil V., 2000, FEEDING WORLD CHALLE Stephens PA, 2015, J APPL ECOL, V52, P1, DOI 10.1111/1365-2664.12383 Torres R, 2014, REG ENVIRON CHANGE, V14, P1549, DOI 10.1007/s10113-014-0604-1 Tscharntke T, 2012, BIOL CONSERV, V151, P53, DOI 10.1016/j.biocon.2012.01.068 NR 42 TC 4 Z9 4 U1 0 U2 9 PU TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND SN 1747-423X EI 1747-4248 J9 J LAND USE SCI JI J. Land Use Sci. PY 2016 VL 11 IS 2 BP 188 EP 202 DI 10.1080/1747423X.2015.1057244 PG 15 WC Agriculture, Multidisciplinary; Ecology SC Agriculture; Environmental Sciences & Ecology GA EY5XI UT WOS:000404054800004 DA 2019-04-09 ER PT J AU Mora, F Balvanera, P Garcia-Frapolli, E Castillo, A Trilleras, JM Cohen-Salgado, D Salmeron, O AF Mora, Francisco Balvanera, Patricia Garcia-Frapolli, Eduardo Castillo, Alicia Trilleras, Jenny M. Cohen-Salgado, Daniel Salmeron, Oscar TI Trade-offs between ecosystem services and alternative pathways toward sustainability in a tropical dry forest region SO ECOLOGY AND SOCIETY LA English DT Article DE biodiversity; carbon; cattle; conservationists; fodder; forest management; peasants; production possibility frontier ID DECIDUOUS FOREST; AGRICULTURAL LANDSCAPES; CENTRAL-AMERICA; WESTERN MEXICO; LAND-COVER; CONSERVATION; BIODIVERSITY; CARBON; MANAGEMENT; TREES AB The design of strategies aimed at sustainable resource management requires an understanding of the trade-offs between the ecosystem services at stake, to determine appropriate ways in which to navigate them. We assess trade-offs between forage production for cattle ranching and the maintenance of carbon stocks or tree diversity in a Mexican tropical dry forest. Trade-offs between pairs of services were assessed by identifying their efficiency frontiers at both site and landscape scales. We also estimated service outcomes under current and hypothetical land-management conditions. We found stark trade-offs between fodder and carbon stocks and between fodder and tree species richness at the site scale. At the landscape scale, the efficiency frontier was concave, with a much less pronounced trade-off in the fodder-species richness case. Our estimates of current service supply levels showed a reduction of 18-21% for C stock and 41-43% for fodder biomass, relative to the maximum feasible values along the efficiency frontier. Choice of the optimum management strategy to reduce such inefficiency depended on deforestation level: secondary forest regeneration was most suitable when deforestation is low, whereas increased fodder productivity in the pastures is best when deforestation is high. Pasture enrichment with forage trees and secondary forest growth are potential management alternatives for achieving sustainability given the range of enabling ecological factors and to balance ecological and social sustainability given the requirements and preferences of local stakeholders. Given that analogous trade-offs are found across the tropics, this work contributes to reconciling tropical forest maintenance and its use for sustainable rural livelihoods. C1 [Mora, Francisco; Balvanera, Patricia; Garcia-Frapolli, Eduardo; Castillo, Alicia; Trilleras, Jenny M.; Cohen-Salgado, Daniel; Salmeron, Oscar] Univ Nacl Autonoma Mexico, Inst Invest Ecosistemas & Sustentabilidad, Mexico City, DF, Mexico. [Trilleras, Jenny M.] Univ Ciencias Aplicadas & Ambientales, Bogota, Colombia. RP Mora, F (reprint author), Univ Nacl Autonoma Mexico, Inst Invest Ecosistemas & Sustentabilidad, Mexico City, DF, Mexico. OI Mora Ardila, Francisco/0000-0003-0390-0189; Trilleras, Jenny/0000-0002-9265-5666 FU PAPIIT [IN211114, IN300813]; SEP-CONACYT [2012-179045, 2015-255544] FX The ideas developed here have emerged from the past 15 years of interdisciplinary collaboration with many colleagues working within the Chamela-Cuixmala region, and this synthesis was fostered by workshops held at the National Center for Ecological Analysis and Synthesis. Financial support for this work was obtained from funding through PAPIIT IN211114, SEP-CONACYT 2012-179045 and SEP-CONACYT 2015-255544 to PB, and PAPIIT IN300813 to AC. We acknowledge the support of the Chamela Biological Station (UNAM) to undertake fieldwork and all of the local stakeholders who contributed with their expertise. CR Achard F, 2014, GLOBAL CHANGE BIOL, V20, P2540, DOI 10.1111/gcb.12605 Albuquerque Ulysses Paulino de, 2005, Acta Bot. Bras., V19, P27, DOI 10.1590/S0102-33062005000100004 Anderson-Teixeira KJ, 2012, NAT CLIM CHANGE, V2, P177, DOI [10.1038/NCLIMATE1346, 10.1038/nclimate1346] Balvanera P., 2011, Seasonally dry tropical forests: ecology and conservation, P259 Balvanera P, 2002, J VEG SCI, V13, P145, DOI 10.1658/1100-9233(2002)013[0145:PODIAM]2.0.CO;2 Barrance AJ, 2003, AGROFOREST SYST, V59, P97, DOI 10.1023/A:1026347006022 BEALE I F, 1973, Tropical Grasslands, V7, P135 Borrego A, 2014, ECOL ECON, V101, P1, DOI 10.1016/j.ecolecon.2014.02.005 Brown CJ, 2014, FRONT ECOL ENVIRON, V12, P324, DOI 10.1890/130296 Bullock S. H., 2002, HIST NATURAL CHAMELA, P151 Bullock S. J., 2002, HIST NATURAL CHAMELA, P155 Burgos A, 2004, AGR ECOSYST ENVIRON, V104, P475, DOI 10.1016/j.agee.2004.01.038 Casas A., 2008, CURRENT TOPICS ETHNO, P1 Castillo A, 2005, ECOSYSTEMS, V8, P630, DOI 10.1007/s10021-005-0127-1 Chaturvedi RK, 2012, FOREST ECOL MANAG, V284, P152, DOI 10.1016/j.foreco.2012.07.053 Coder H, 2002, HIST NATURAL CHAMELA, P17 Cohen Salgado D, 2014, THESIS Dagang ABK, 2003, AGROFOREST SYST, V59, P149, DOI 10.1023/A:1026394019808 Duran E., 2004, THESIS DURAN E., 2002, HIST NATURAL CHAMELA, P443 Duran Elvira, 2006, Boletin de la Sociedad Botanica de Mexico, V79, P43 Garcia-Oliva F., 2011, Seasonally dry tropical forests: ecology and conservation, P159 Garcia-Oliva F, 2002, HIST NATURAL CHAMELA, P3 Gerritsen P., 2007, ESTADO ACTUAL PERSPE, P27 Gilroy JJ, 2014, GLOBAL CHANGE BIOL, V20, P2162, DOI 10.1111/gcb.12482 Gotelli NJ, 2001, ECOL LETT, V4, P379, DOI 10.1046/j.1461-0248.2001.00230.x Griscom HP, 2011, FOREST ECOL MANAG, V261, P1564, DOI 10.1016/j.foreco.2010.08.027 Harvey CA, 1998, AGROFOREST SYST, V44, P37, DOI 10.1023/A:1006122211692 International Fund for Agricultural Development (IFAD), 2004, LIV SERV GLOB IN COL Jaramillo VJ, 2003, ECOSYSTEMS, V6, P609, DOI 10.1007/s10021-002-0195-4 Kaimowitz D., 2008, Journal of Sustainable Forestry, V27, P6, DOI 10.1080/10549810802225168 King E, 2015, ECOL SOC, V20, DOI 10.5751/ES-07822-200325 Lambin EF, 2003, ANNU REV ENV RESOUR, V28, P205, DOI 10.1146/annurev.energy.28.050302.105459 Latawiec AE, 2015, FRONT ECOL ENVIRON, V13, P211, DOI 10.1890/140052 Lawrence D, 2007, P NATL ACAD SCI USA, V104, P20696, DOI 10.1073/pnas.0705005104 Lebrija-Trejos E, 2008, BIOTROPICA, V40, P422, DOI 10.1111/j.1744-7429.2008.00398.x Lebrija-Trejos E, 2011, J TROP ECOL, V27, P477, DOI 10.1017/S0266467411000253 Letcher SG, 2015, J ECOL, V103, P1276, DOI 10.1111/1365-2745.12435 Maass JM, 2005, ECOL SOC, V10 MAASS JM, 1988, J APPL ECOL, V25, P595, DOI 10.2307/2403847 Martinez-Harms M. J., 2010, THESIS Martinez-Ramos M., 2012, INVESTIGACION AMBIEN, V4, P111 MARTINEZYRIZAR A, 1992, J TROP ECOL, V8, P87, DOI 10.1017/S0266467400006131 Maza-Villalobos S, 2011, BIOTROPICA, V43, P666, DOI 10.1111/j.1744-7429.2011.00755.x Mora F, 2015, BIOTROPICA, V47, P38, DOI 10.1111/btp.12187 Murgueitio E, 2011, FOREST ECOL MANAG, V261, P1654, DOI 10.1016/j.foreco.2010.09.027 Oksanen J., 2011, VEGAN COMMUNITY ECOL Ostrom E., 2000, PEOPLE FORESTS COMMU, P27 Phelps J, 2012, NAT CLIM CHANGE, V2, P497, DOI [10.1038/nclimate1462, 10.1038/NCLIMATE1462] Pineda-Garcia F, 2013, PLANT CELL ENVIRON, V36, P405, DOI 10.1111/j.1365-3040.2012.02582.x Polasky S, 2008, BIOL CONSERV, V141, P1505, DOI 10.1016/j.biocon.2008.03.022 Poorter L, 2016, NATURE, V530, P211, DOI 10.1038/nature16512 Portillo-Quintero C, 2015, REG ENVIRON CHANGE, V15, P1039, DOI 10.1007/s10113-014-0689-6 Quijas S., 2012, THESIS R Development Core Team, 2015, R LANG ENV STAT COMP Raudsepp-Hearne C, 2010, P NATL ACAD SCI USA, V107, P5242, DOI 10.1073/pnas.0907284107 Rendon-Carmona H, 2009, FOREST ECOL MANAG, V257, P567, DOI 10.1016/j.foreco.2008.09.031 Ribeiro EMS, 2015, J APPL ECOL, V52, P611, DOI 10.1111/1365-2664.12420 Rodriguez JP, 2006, ECOL SOC, V11 Rogers E. M., 2003, DIFFUSION INNOVATION Ruijs A, 2013, ECOSYST SERV, V4, P82, DOI 10.1016/j.ecoser.2013.04.002 Salmeron O. U., 2015, THESIS Sanchez-Azofeifa G. A., 2011, Seasonally dry tropical forests: ecology and conservation, P45 Sanchez-Azofeifa GA, 2009, FOREST ECOL MANAG, V258, P907, DOI 10.1016/j.foreco.2008.10.030 Shadow R. D., 2002, TIERRA TRABAJO GANAD Sircely J, 2013, AGROFOREST SYST, V87, P451, DOI 10.1007/s10457-012-9566-9 Skutsch M, 2015, INT FOREST REV, V17, P65, DOI 10.1505/146554815814669025 Soto J. C., 2009, DIVERSIDAD AMENAZAS, P277 Tallis H, 2008, P NATL ACAD SCI USA, V105, P9457, DOI 10.1073/pnas.0705797105 Trilleras JM, 2015, AGR ECOSYST ENVIRON, V211, P133, DOI 10.1016/j.agee.2015.06.011 NR 70 TC 3 Z9 3 U1 3 U2 28 PU RESILIENCE ALLIANCE PI WOLFVILLE PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA SN 1708-3087 J9 ECOL SOC JI Ecol. Soc. PY 2016 VL 21 IS 4 AR 45 DI 10.5751/ES-08691-210445 PG 13 WC Ecology; Environmental Studies SC Environmental Sciences & Ecology GA EG7BE UT WOS:000391199400011 OA DOAJ Gold DA 2019-04-09 ER PT J AU Krc, J Taylor, A Hodges, D AF Krc, Janez Taylor, Adam Hodges, Donald TI Paying for What You Get: Accounting for the Nonrenewable Component in Wood to Energy SO FOREST PRODUCTS JOURNAL LA English DT Article ID LIFE-CYCLE ASSESSMENT; BIOENERGY SYSTEMS; IMPACT ASSESSMENT; UNITED-STATES; LAND-USE; CARBON; BIOMASS; SUSTAINABILITY; EMISSIONS; BIOFUEL AB Growing international trade in wood pellets is one response to regional efforts to mitigate the global problem of climate change. With this growing use of wood energy, there is increased scrutiny of the associated environmental impacts and concern over possible unintended consequences (e.g., nonrenewable energy inputs) that may detract from the carbon savings provided by such renewable energy sources. The focus of this article is to present an accounting system for the embodied fossil fuels in wood energy systems. This system is based on life-cycle assessment methodology and could accommodate fairly the variability in fossil fuel inputs for various bioenergy systems. Such a system could be incorporated into biofuel subsidies or carbon taxation policies. We use three scenarios as examples to illustrate (1) that wood-to-energy systems entail the use of fossil fuels and that the amount of this "embodied fossil carbon" varies with the processing inputs and transportation required and (2) that carbon tax/biofuel subsidies can be adjusted to accommodate variations in embodied fossil carbon. The growth in life-cycle databases and the advent of environmental product declarations make embodied fossil fuel calculations such as those presented here an increasingly practical component of biofuels policy development. C1 [Krc, Janez] Univ Ljubljana, Biotech Fac, Ljubljana, Slovenia. [Taylor, Adam; Hodges, Donald] Univ Tennessee, Dept Forestry Wildlife & Fisheries, Knoxville, TN 37996 USA. RP Taylor, A (reprint author), Univ Tennessee, Dept Forestry Wildlife & Fisheries, Knoxville, TN 37996 USA. EM janez.krc@bfuni-lj.si; AdamTaylor@utk.edu; dhodges2@utk.edu CR Abt KL, 2012, FOREST SCI, V58, P523, DOI 10.5849/forsci.11-055 [Anonymous], 2012, USE WHOLE TREES WOOD Bare J, 2011, CLEAN TECHNOL ENVIR, V13, P687, DOI 10.1007/s10098-010-0338-9 Batidzirai B, 2014, BIOFUEL BIOPROD BIOR, V8, P253, DOI 10.1002/bbb.1458 BERC, 2012, BIOM SUPPL CARB ACC Bergman R, 2011, FOREST PROD J, V61, P192, DOI 10.13073/0015-7473-61.3.192 Bonitz J., 2013, SE WOODY BIOENERGY I Cabin R. J., 2013, WOOD PELLET EXPORTS Cherubini F, 2009, RESOUR CONSERV RECY, V53, P434, DOI 10.1016/j.resconrec.2009.03.013 Curran MA, 2013, CURR OPIN CHEM ENG, V2, P273, DOI 10.1016/j.coche.2013.02.002 Davis SC, 2012, FORESTS, V3, P370, DOI 10.3390/f3020370 Dwivedi P, 2014, BIOENERG RES, V7, P217, DOI 10.1007/s12155-013-9362-z Dwivedi P, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/2/024007 Dwivedi P, 2011, BIOENERG RES, V4, P180, DOI 10.1007/s12155-010-9111-5 Fan JQ, 2011, RENEW ENERG, V36, P632, DOI 10.1016/j.renene.2010.06.045 Farrell A., 2008, GREENHOUSE GAS GHG E, P4 Flach B.V., 2014, NL4025 GAIN USDA FOR Forest Products Laboratory (FPL), 2004, TECHL FUEL VAL CALC Goetzl A., 2012, PELLET POWER GLOBAL Goh CS, 2013, BIOFUEL BIOPROD BIOR, V7, P24, DOI 10.1002/bbb.1366 Haberl H, 2012, ENERG POLICY, V45, P18, DOI 10.1016/j.enpol.2012.02.051 Heijungs R, 2014, INT J LIFE CYCLE ASS, V19, P473, DOI 10.1007/s11367-013-0662-5 Holtsmark B, 2013, J FOREST ECON, V19, P87, DOI 10.1016/j.jfe.2012.09.002 *INT PAN CLIM CHAN, 1996, 2 INT PAN CLIM CHANG International Energy Agency, 2012, WORLD EN OUTL 2012 ISO, 2006, 14040 ISO ISO, 2006, 14025 ISO Jonker JGG, 2014, GCB BIOENERGY, V6, P371, DOI 10.1111/gcbb.12056 Joudrey J., 2012, EUROPEAN POWER US FO Krajnc N., 2013, REZULTATI ANALIZE PR Lal P., 2011, Journal of Sustainable Forestry, V30, P736, DOI 10.1080/10549811.2011.571581 Lamers P, 2013, BIOFUEL BIOPROD BIOR, V7, P373, DOI 10.1002/bbb.1407 Lamers P, 2012, RENEW SUST ENERG REV, V16, P3176, DOI 10.1016/j.rser.2012.02.027 Langer R., 2014, WOOD PELLET IND CHEA Magelli F, 2009, BIOMASS BIOENERG, V33, P434, DOI 10.1016/j.biombioe.2008.08.016 Marland G, 2010, J IND ECOL, V14, P866, DOI 10.1111/j.1530-9290.2010.00303.x NREL, 2012, US LIF CYCL INV DAT Pa A, 2012, INT J LIFE CYCLE ASS, V17, P220, DOI 10.1007/s11367-011-0358-7 Paivinen R, 2012, EUR J FOREST RES, V131, P7, DOI 10.1007/s10342-010-0446-4 Proskurina S, 2014, P 22 EUR BIOM C EXH Reed D, 2012, FOREST PROD J, V62, P280 Reijnders L, 2006, ENERG POLICY, V34, P863, DOI 10.1016/j.enpol.2004.09.001 Schenck R., 2013, STATUS OPPORTUNITIES Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 Sikkema R, 2014, FORESTS, V5, P2163, DOI 10.3390/f5092163 Stupak I, 2011, BIOMASS BIOENERG, V35, P3287, DOI 10.1016/j.biombioe.2010.11.032 Van Stappen F., 2003, ENERGY, V147, P55 Walker T., 2010, NCI201003 MAN CTR CO Weidema B., 2009, 2 EC, V2. 1 Woodworth E., 2012, INHERENT SUSTAINABIL World Bank, 2014, STAT TRENDS CARB PRI World Wildlife Fund, 2008, INT SHIPP POST 2012 NR 52 TC 2 Z9 2 U1 0 U2 6 PU FOREST PRODUCTS SOC PI MADISON PA 2801 MARSHALL COURT, MADISON, WI 53705-2295 USA SN 0015-7473 J9 FOREST PROD J JI For. Prod. J. PY 2016 VL 66 IS 7-8 BP 384 EP 390 DI 10.13073/FPJ-D-15-00081 PG 7 WC Forestry; Materials Science, Paper & Wood SC Forestry; Materials Science GA EH8US UT WOS:000392048500001 DA 2019-04-09 ER PT J AU Chang-Bong, K Chun, HU Kwon, SH AF Chang-Bong, Kim Chun, Hong-Uk Kwon, Seung-Ha TI Impact of application factors of the AEO program on its performance SO JOURNAL OF KOREA TRADE LA English DT Article DE External pressure; Partnerships; Training capacity; Sustainability; Internal regulation; Authorized economic operator program; Application of authorized economic operator program ID SUPPLY CHAIN SECURITY; CUSTOMER SATISFACTION; MANAGEMENT; PLS AB Purpose - In a changing trade landscape, global trade transaction relies on a global supply-chain network. Customs clearance to cross borders is critical to enhancing the competitiveness of both importers and exporters. As such, each country has adopted an authorized economic operator (AEO) program to promote the security of both imported and exported cargo as well as expedite freight movements. The purpose of this paper is to discover the factors which should be taken into account to utilize an AEO program, and to look at the causal relations between these factors. Design/methodology/approach - This study conducted a survey on 201 AEO programs in Korea. With partial least squares, the structure model is tested using the coefficient value of the determination of the dependent variable, explained by the sign and scale of the path coefficient, statistical significance, and leading variable. Moreover, this study performed bootstrap re-sampling to verify all paths and significance. Findings - It was found that AEO external pressure, training capacity, and sustainability are shown to have a significant impact on AEO performance. Furthermore, for the group with a high level of AEO application, training capacity and AEO sustainability are shown to have a greater effect on AEO performance. For the group with a low level of AEO application, internal regulation is shown to have a bigger impact on AEO performance. Originality/value - This study sets itself apart from previous ones in that it examines AEO application for trade security and facilitation with regard to customs, which would affect global supply-chain management. C1 [Chang-Bong, Kim; Kwon, Seung-Ha] Chung Ang Univ, Dept Trade & Logist, Seoul, South Korea. [Chun, Hong-Uk] Korea Customs Serv, Seoul, South Korea. RP Kwon, SH (reprint author), Chung Ang Univ, Dept Trade & Logist, Seoul, South Korea. EM seunghkwon@gmail.com CR Ahuja MK, 2005, MIS QUART, V29, P427 Andreosso-O'Callaghan B, 2008, J WORLD TRADE, V42, P105 Bagozzi RP, 1999, J ECONOMETRICS, V89, P393 Bakshi N., 2007, WORKING PAPER Cedilnik M, 2013, LEX LOCALIS, V11, P673, DOI 10.4335/11.3.673-685(2013) Chin W.W., 1998, QUANT METH SER, P295, DOI DOI 10.1016/J.AAP.2008.12.010 Chin Wynne, 2000, INT C INF SYST BRISB Chun H. J., 2012, THESIS COTTERMAN W, 1992, CHALLENGES STRATEGIE den Butter FAG, 2012, GOV INFORM Q, V29, P261, DOI 10.1016/j.giq.2011.05.004 Fernandez-Gonzalez AJ, 2007, INT J PRODUCT PERFOR, V56, P500, DOI 10.1108/17410400710757169 FORNELL C, 1981, J MARKETING RES, V18, P39, DOI 10.2307/3151312 Gordhan P., 2007, WORLD CUSTOMS J, V1, P49 Hair JF, 2012, J ACAD MARKET SCI, V40, P414, DOI 10.1007/s11747-011-0261-6 Hulland J, 1999, STRATEGIC MANAGE J, V20, P195, DOI 10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.3.CO;2-Z KCS, 2007, KOR SEC POL DIR IM E Kilinc Z, 2015, J KOREA TRADE, V19, P97 Kim C.-B., 2013, J KOREA RES SOC CUST, V14, P21 Kim C.-B., 2015, J INFORM SYSTEMS, V17, P151 Kim CB, 2015, J KOREA TRADE, V19, P23, DOI 10.7842/kigas.2015.19.1.23 Kim CB, 2014, J KOREA TRADE, V18, P1 Kim JongDeuk, 2007, [Journal of Shipping and Logistics, 해운물류연구], V55, P127 kimchangbong, 2010, [Korea Research Academy of Distribution and Management Review, 유통경영학회지], V13, P107 Martens BJ, 2011, J BUS LOGIST, V32, P153, DOI 10.1111/j.2158-1592.2011.01013.x Maur J.-C., 2008, 4464 WORLD BANK Mikuriya K., 2007, WORLD CUSTOMS J, V1, P51 Qureshi I, 2009, MIS QUART, V33, P197 Sanchez-Franco MJ, 2006, BEHAV INFORM TECHNOL, V25, P19, DOI 10.1080/01449290500124536 Tenenhaus M, 2005, COMPUT STAT DATA AN, V48, P159, DOI 10.1016/j.csda.2004.03.005 Tucker M, 2010, J CORP REAL ESTATE, V12, P220, DOI 10.1108/14630011011094667 Vinzi Vincenzo E., 2010, HDB PARTIAL LEAST SQ, P47, DOI DOI 10.1007/978-3-540-32827-8 Voss MD, 2013, J BUS LOGIST, V34, P320, DOI 10.1111/jbl.12030 WCO, 2006, AUTH EC OP, P1 Woo J.P., 2012, AMOS 4 0 20 0 CONCEP Yang CC, 2013, SUPPLY CHAIN MANAG, V18, P74, DOI 10.1108/13598541311293195 Yu JP, 2012, STRUCTURAL EQUATION 손성균, 2014, [Journal of Distribution Science, 유통과학연구], V12, P5, DOI 10.13106/jds.2014.vol12.no7.5. 김창봉, 2012, [Korea Trade Review, 무역학회지], V37, P203 NR 38 TC 1 Z9 1 U1 3 U2 14 PU EMERALD GROUP PUBLISHING LTD PI BINGLEY PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND SN 1229-828X J9 J KOREA TRADE JI J. Korea. Trade. PY 2016 VL 20 IS 4 BP 332 EP 348 DI 10.1108/JKT-12-2016-018 PG 17 WC Economics SC Business & Economics GA EI0QJ UT WOS:000392179000002 DA 2019-04-09 ER PT J AU Acosta, LA Eugenio, EA Macandog, PBM Magcale-Macandog, DB Lin, EKH Abucay, ER Cura, AL Primavera, MG AF Acosta, Lilibeth A. Eugenio, Elena A. Macandog, Paula Beatrice M. Magcale-Macandog, Damasa B. Lin, Elaine Kuan-Hui Abucay, Edwin R. Lorenz Cura, Alfi Grace Primavera, Mary TI Loss and damage from typhoon-induced floods and landslides in the Philippines: community perceptions on climate impacts and adaptation options SO INTERNATIONAL JOURNAL OF GLOBAL WARMING LA English DT Article DE adaptation; adaptive capacity; climate change; conjoint analysis; disasters; floods and landslides; Haiyan; loss and damage; mitigation; Philippines; risks; typhoons ID SUSTAINABILITY TRADE-OFFS; CONJOINT-ANALYSIS; COPING MEASURES; AVOID LOSS; PREFERENCES; COUNTRIES; DISTRICT; DROUGHTS; EROSION; POLICY AB Loss and damage from floods and landslides are escalating in the Philippines due to increasing frequency and intensity of typhoons. This paper investigates the types and scale of loss and damage in two municipalities that were affected by typhoon-induced floods and landslides in 2004 and 2012. It assesses people's preferences on adaptation measures and perceptions on human-nature links on occurrence of disasters. It reveals that human loss and property damage are causing psychological distress to affected people, undermining capacity to adapt to the next disasters. Many vulnerable people are not aware of the link between climate and land use change. Moreover, many depend on unsustainable land use for source of livelihoods particularly after disasters. The preference for measures to reduce landslide risks through reforestation and logging/mining prevention is thus low. Insurance is not a preferred mechanism for reducing risks because regular payment of premium is not affordable to vulnerable people. C1 [Acosta, Lilibeth A.] Potsdam Inst Climate Impact Res PIK, Telegraphenberg A62, D-14473 Potsdam, Germany. [Acosta, Lilibeth A.] Univ Philippines Los Banos, Sch Environm Sci & Management, Los Banos, Philippines. [Eugenio, Elena A.] Univ Philippines Los Banos, Coll Arts & Sci, Inst Biol Sci, Sch Environm Sci & Management, Los Banos, Philippines. [Macandog, Paula Beatrice M.; Magcale-Macandog, Damasa B.; Grace Primavera, Mary] Univ Philippines Los Banos, Coll Arts & Sci, Inst Biol Sci, Los Banos, Philippines. [Lin, Elaine Kuan-Hui] Clark Univ, George Perkins Marsh Inst, Worcester, MA 01610 USA. [Lin, Elaine Kuan-Hui] Acad Sinica, Ctr Sustainabil Sci, Taipei, Taiwan. [Abucay, Edwin R.; Lorenz Cura, Alfi] Univ Philippines Los Banos, Coll Human Ecol, Dept Community & Environm Resource Planning, Los Banos, Philippines. RP Acosta, LA (reprint author), Potsdam Inst Climate Impact Res PIK, Telegraphenberg A62, D-14473 Potsdam, Germany.; Acosta, LA (reprint author), Univ Philippines Los Banos, Sch Environm Sci & Management, Los Banos, Philippines. EM lilibeth@pik-potsdam.de; lena.eugenio18@gmail.com; yula_macandog@yahoo.com; demi_macandog@yahoo.com; d93228001@ntu.edu.tw; edwin_abucay@yahoo.com; alfilorenzcura@gmail.com; grace.primavera@gmail.com FU Integrated Research on Disaster Risk - International Center of Excellence (IRDRICoE), Academia Sinica, Taiwan FX The authors would like to thank the people who participated and local officials who supported the conduct of the survey and PRA. The paper is based on the project on Livelihoods Vulnerabilities to Typhoon Associated Hazards in Southeast Asia: A comparative study in Taiwan and the Philippines with funding support from the Integrated Research on Disaster Risk - International Center of Excellence (IRDRICoE), Academia Sinica, Taiwan. CR Acosta LA, 2014, BIOMASS BIOENERG, V64, P20, DOI 10.1016/j.biombioe.2014.03.015 Acosta LA, 2013, J ENVIRON SCI MANAG, V16, P36 Acosta LA, 2013, APPL ENERG, V102, P241, DOI 10.1016/j.apenergy.2012.09.063 Acosta-Michlik L, 2011, RENEW SUST ENERG REV, V15, P2791, DOI 10.1016/j.rser.2011.02.011 Acosta-Michlik LA, 2008, REG ENVIRON CHANGE, V8, P151, DOI 10.1007/s10113-008-0058-4 Admin C., 2013, REBUILDING LIVES TYP Alconaba N., 2013, TYPHOON PABLO SURVIV Alojado D., 2010, 12 WORST TYPHOONS PH [Anonymous], 2013, ECONOMIST Asian Disaster Preparedness Center (ADPC), 2003, ROL LOC I RED VULN R Bacani L., 2013, YOLANDA NOW SUPER TY Bank A. D., 2011, TYPHOONS ONDOY PEPEN Bauer K, 2013, INT J GLOBAL WARM, V5, P433, DOI 10.1504/IJGW.2013.057292 Bhattacharyya D., 2013, EMERGENCY FOOD SECUR Blamey RK, 2000, ECOL ECON, V32, P269, DOI 10.1016/S0921-8009(99)00101-9 Brida AB, 2013, INT J GLOBAL WARM, V5, P514, DOI 10.1504/IJGW.2013.057291 Brown S., 2013, PHILIPPINES IS MOST Cedamon E, 2011, SMALL-SCALE FOR, V10, P149, DOI 10.1007/s11842-010-9115-1 Centre for Research on the Epidemiology of Disasters (CRED), 2014, EM DAT INT DISASTER Chughtai S., 2013, TYPHOON HAIYANTHE RE CLUP, 2010, COMPR LAND US PLANN Conde C. H., 2009, TYPHOON RIPPLE EFFEC Craeynest L., 2010, LOSS DAMAGE CLIMATE Cruz Jeanette E, 2010, 11 NAT CONV STAT NCS Cruz R. V. O., 2005, P PHIL FOR DEV FOR T David R.V., 2006, ALTERNATIVE LOCAL DI den Elzen MGJ, 2013, CLIMATIC CHANGE, V121, P397, DOI 10.1007/s10584-013-0865-6 Earth Observatory, 2006, TYPH CHANCH Endangered Species I., 2014, PROT REST MANGR Fajardo D., TYPHOON PABLO INFOGR Fano J. A., 2007, MAYON 2006 DEBRIS FL Farber S, 2000, ENVIRON SCI TECHNOL, V34, P1407, DOI 10.1021/es990727r Ferrer P.K., 2014, DEBRIS FLOW HAZARD M, V16 Gaillard J. C., 2007, Environmental Hazards, V7, P257, DOI 10.1016/j.envhaz.2006.11.002 GREEN PE, 1990, J MARKETING, V54, P3, DOI 10.2307/1251756 GTZ and DENR, 2009, I COLL FORM PHIL STR Guinto J., 2006, MAYON MUDFLOWS BURY Haile AT, 2013, INT J GLOBAL WARM, V5, P483, DOI 10.1504/IJGW.2013.057290 Hall C, 2004, J RURAL STUD, V20, P211, DOI 10.1016/j.jrurstud.2003.08.004 Hanley N, 1998, ENVIRON RESOUR ECON, V11, P3, DOI DOI 10.1023/A:1008287310583 Harrison Steve, 2003, ANN TROP RES, V25, P77 Hoffmaister J.P., 2012, 3 WORLD RESURGENCE, V264/265, P38 IFRC, 2006, PHIL HEARTBR SUFF WA Infanta Government, 2014, MUN GOV INF InterAksyon. com, 2013, ON YEAR YOL THER WAS IRIN, 2010, PHILIPPINES ON YEAR Jesus J. D., 2013, TIMELINE PHILIPPINES Kreft S., 2014, CHANGE BONN Kusters K, 2013, INT J GLOBAL WARM, V5, P387, DOI 10.1504/IJGW.2013.057287 Lasco R. D., 2001, Journal of Tropical Forest Science, V13, P652 Lasco RD, 2009, J ENVIRON SCI MANAG, V12, P1 Lee K. C., 2006, LECT NOTES COMPUTER, V394, P213, DOI 10.1007/11752707_18 Lenk PJ, 1996, MARKET SCI, V15, P173, DOI 10.1287/mksc.15.2.173 Manuta J., 2013, MONOGRAPH SERIES, V2 Monnereau I, 2013, INT J GLOBAL WARM, V5, P416, DOI 10.1504/IJGW.2013.057283 Moran D, 2007, ECOL ECON, V63, P42, DOI 10.1016/j.ecolecon.2006.09.018 Munich-Re, 2014, OVERALL PICTURE NATU NAMRIA, 1994, TOP MAP QUEZ PROV NASA, 2013, HAIYAN NW PAC OC NASA, 2009, HURR SEAS 2009 TYPH Nishat A., 2013, LOSS DAMAGE VULNERAB NOAA, 2012, SAFF SIMPS HURR WIND NOAA, 2014, STAT CLIM HURR TROP Norris FH, 2008, AM J COMMUN PSYCHOL, V41, P127, DOI 10.1007/s10464-007-9156-6 NSO, 2014, QUICKST QUEZ PROV Opondo DO, 2013, INT J GLOBAL WARM, V5, P452, DOI 10.1504/IJGW.2013.057285 Orme B., 2006, WORD J INT LINGUISTI Orme B., 2009, WORD J INT LINGUISTI Orme B., 2009, RES PAPER SERIES, V98382, P20 Orme B., 2010, ANALYSIS Padua D. M., 2012, TYPHOON BOPHA PABLO Panela S., 2012, NASA PABLOS RAINFALL Pulhin J.M., 2008, INT J SOCIAL FORESTR, V1, P1 Pulhin JM, 2009, J ENVIRON MANAGE, V91, P206, DOI 10.1016/j.jenvman.2009.08.007 Rabbani G, 2013, INT J GLOBAL WARM, V5, P400, DOI 10.1504/IJGW.2013.057284 Roberts E., 2014, LOSS DAMAGE ADAPTATI Sabillo K. A., 2013, DBM RELEASE P1 06B R Schmitt Laura K., 2009, Environment Development and Sustainability, V11, P19, DOI 10.1007/s10668-007-9096-1 Sharman T., 2012, DEVELOPMENT Stabinsky D., 2012, TACKLING LIMITS ADAP Stevens T. H., 2002, Journal of Forest Economics, V8, P169 Tano K, 2003, ECOL ECON, V45, P393, DOI 10.1016/S0921-8009(03)00093-4 Traore S, 2013, INT J GLOBAL WARM, V5, P498, DOI 10.1504/IJGW.2013.057288 van Der Geest K., 2014, SOUTHASIADISASTERS, P3 Vanzi S. J., 2000, TYPHOONS EDENG DITAN Villanueva R., 2012, PHILIPPINE STAR 1208 Warner K., 2013, SECURITY Warner K, 2013, INT J GLOBAL WARM, V5, P367, DOI 10.1504/IJGW.2013.057289 Yaffa S, 2013, INT J GLOBAL WARM, V5, P467, DOI 10.1504/IJGW.2013.057286 NR 89 TC 7 Z9 7 U1 3 U2 29 PU INDERSCIENCE ENTERPRISES LTD PI GENEVA PA WORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND SN 1758-2083 EI 1758-2091 J9 INT J GLOBAL WARM JI Int. J. Glob. Warm. PY 2016 VL 9 IS 1 BP 33 EP 65 DI 10.1504/IJGW.2016.074307 PG 33 WC Environmental Sciences SC Environmental Sciences & Ecology GA EE6KB UT WOS:000389718000003 DA 2019-04-09 ER PT J AU Purnomo, H Achdiawan, R Shantiko, B Amin, SM Irawati, RH Melati Wardell, DA AF Purnomo, H. Achdiawan, R. Shantiko, B. Amin, S. M. Irawati, R. H. Melati Wardell, D. A. TI Multi-stakeholder processes to strengthen policies for small and medium-scale forestry enterprises in Indonesia SO INTERNATIONAL FORESTRY REVIEW LA English DT Article DE Furniture; participatory action research; politics; Jepara; district law AB The furniture industry is the most labor-intensive and the most important forest industry for small and medium-sized enterprises (SMEs) in Indonesia. Power imbalances among actors participating in furniture value chains jeopardize the sustainability of the furniture industry. Regional and global trade agreements could worsen the situation of SMEs. From 2008 to the present, participatory action research (PAR) was conducted on furniture value chains in Jepara District to develop a ten year strategic roadmap. The multi-level governance (MLG) involves complex interactions of state, private and civil society actors at various levels, and institutions linking higher levels of social and political organization. The multi-year roadmap process facilitated a more complex approach to MLG which led to a better understanding of how policies work as instruments of governance within systems of power and authority. The roadmap process strengthened small-scale producers' bargaining positions and improved trust with local government authoritiesto achieve sustainable development goals. C1 [Purnomo, H.] Bogor Agr Univ, Fac Forestry, Bogor, Indonesia. [Purnomo, H.; Achdiawan, R.; Wardell, D. A.] Ctr Int Forestry Res CIFOR, Bogor, Indonesia. [Shantiko, B.] UNIDO, Jakarta, Indonesia. [Amin, S. M.] Jepara Small Scale Furniture Assoc APKJ, Jepara, Indonesia. [Melati] Australian Natl Univ, Canberra, ACT, Australia. RP Purnomo, H (reprint author), Bogor Agr Univ, Fac Forestry, Bogor, Indonesia.; Purnomo, H (reprint author), Ctr Int Forestry Res CIFOR, Bogor, Indonesia. EM h.purnomo@cgiar.org; r.achdiawan@cgiar.org; b.shantiko@unido.org; sultanjepara@yahoo.com; rini.irawati@re-markasia.com; melati_1984@yahoo.com; a.wardell@cgiar.org OI Purnomo, Herry/0000-0003-1957-9385; achdiawan, ramadhani/0000-0002-3996-4726 FU ACIAR [FST/2007/119]; DFID-UK FX Opinions expressed herein are solely those of the authors and do not necessarily reflect the official views of the authors' affiliations. The authors thank ACIAR for supporting research on 'Mahogany and teak furniture: action research to improve value chain efficiency and enhance livelihoods (FST/2007/119, 2008-2013)' and DFID-UK for supporting furniture value chain research (2014-2017). The authors also thank the project partners: Faculty of Forestry, Bogor Agricultural University and Forest Research (IPB) and Forestry Research, Development and Innovation Agency (FORDA), Ministry of Environment and Forestry, Indonesia. The valuable suggestions made by anonymous referees is gratefully acknowledged. CR Achdiawan R, 2011, LIVELIHOOD FURNITURE AWANG S., 2005, PROJECT REPORT Colfer C. J. P., 2005, COMPLEX FOREST COMMU Coordinating Ministry of Economic Affairs, 2011, ACC EXP IND EC DEV 2 Ewasechko AC, 2005, UPGRADING CENTRAL JA [FAO] FOOD AND AGRICULTURE ORGANIZATION, 2013, STRENGTH NUMB EFF FO GOWER C., 1996, BIPLOTS GREENACRE M. J, 1993, J APPL STAT, V20, P2251 Habermas Jurgen, 1987, THEORY COMMUNICATIVE, VI-II Han X, 2009, FOREST POLICY ECON, V11, P561, DOI 10.1016/j.forpol.2009.07.006 [ITTO] INTERNATIONAL TIMBER TRADE ORGANIZATION, 2006, TROPICAL TIMBER MARK, V11 Kollert W, 2012, FP47E FAO Leys AJ, 2010, INT FOREST REV, V12, P256, DOI 10.1505/ifor.12.3.256 Mwangi E, 2013, INT J COMMONS, V7, P339, DOI 10.18352/ijc.465 Pretty J., 1995, REGENERATING AGR POL Purnomo H., 2012, Journal of Sustainable Development, V5, P35, DOI 10.5539/jsd.v5n6p35 Purnomo H, 2012, INT FOREST REV, V14, P74, DOI 10.1505/146554812799973208 Purnomo H, 2011, INT FOREST REV, V13, P152, DOI 10.1505/146554811797406660 PURNOMO H, 2003, SMALL SCALE FOREST E, V2, P277 Purnomo H, 2013, MITIG ADAPT STRAT GL, V18, P471, DOI 10.1007/s11027-012-9370-x Purnomo H, 2011, INT J SUST DEV WORLD, V18, P164, DOI 10.1080/13504509.2010.549664 Selener D., 1997, PARTICIPATORY ACTION Situmorang A.W., 2013, PARTICIPATORY GOVERN Suprihatin, 2003, SMALL SCALE FOREST E, V2, P259 van Noordwijk M, 2014, MITIG ADAPT STRAT GL, V19, P677, DOI 10.1007/s11027-013-9502-y van Noordwijk M, 2011, ECOL SOC, V16 Yoshino N., 2015, ASIAN DEV REV, V32, P18 NR 27 TC 0 Z9 0 U1 0 U2 2 PU COMMONWEALTH FORESTRY ASSOC PI CRAVEN ARRMS PA CRIB, DINCHOPE, CRAVEN ARRMS SY7 9JJ, SHROPSHIRE, ENGLAND SN 1465-5489 EI 2053-7778 J9 INT FOREST REV JI Int. For. Rev. PY 2016 VL 18 IS 4 BP 485 EP 501 DI 10.1505/146554816820127596 PG 17 WC Forestry SC Forestry GA ED0TC UT WOS:000388553800007 DA 2019-04-09 ER PT J AU Medland, L AF Medland, Lydia TI Working for social sustainability: insights from a Spanish organic production enclave SO AGROECOLOGY AND SUSTAINABLE FOOD SYSTEMS LA English DT Article DE Farmworkers; labor; organic agriculture; social sustainability; Spain ID AGRICULTURE; AGROECOLOGY; LABOR; CONVENTIONALIZATION; CALIFORNIA; NETWORKS; FARM AB Can the emergence of organic agriculture in global enclaves of food production be interpreted as contributing to more socially sustainable agriculture? This article discusses three narratives from semistructured interviews with farmers, farmworkers, and trade union representatives in the case of El Ejido, Spain. Here, organic agriculture can be seen to offer a small degree of breathing space from the harshest dynamics of conventional industrial food systems. In conclusion, in this case, the study shows that organic agriculture has been accompanied by experiences of small social sustainability gains and opportunities for workers and farmers, in a particularly challenging context. C1 [Medland, Lydia] Univ Bristol, Sch Sociol Polit & Int Studies, 1 Priory Rd, Bristol BS8 1TX, Avon, England. RP Medland, L (reprint author), Univ Bristol, Sch Sociol Polit & Int Studies, 1 Priory Rd, Bristol BS8 1TX, Avon, England. EM Lydia.Medland@bristol.ac.uk OI Medland, Lydia/0000-0003-0168-0688 FU South West Doctoral Training Centre (SWDTC); Economic and Social Research Council (ESRC) [1325178]; Economic and Social Research Council [1325178] FX This work was supported by the South West Doctoral Training Centre (SWDTC), supported by the Economic and Social Research Council (ESRC) [grant 1325178]. CR Agroecology Research Group, PRINC AGR SUST Alston P, 2004, EUROPEAN J INT LAW, V15, P457, DOI DOI 10.1093/EJIL/15.3.457 Andalucian Government, 2014, CONV COL Astier M, 2012, ECOL SOC, V17, DOI 10.5751/ES-04910-170325 Barham E., 2002, Agriculture and Human Values, V19, P349, DOI 10.1023/A:1021152403919 Barndt D., 2002, TANGLED ROUTES WOMEN Barrientos S, 2013, GEOFORUM, V44, P44, DOI 10.1016/j.geoforum.2012.06.012 Benton T., 2001, PHILOS SOCIAL SCI PH Brundtland G, 1987, OUR COMMON FUTURE Buck D, 1997, SOCIOL RURALIS, V37, P3, DOI 10.1111/1467-9523.00033 Checa JC, 2010, CONVERGENCIA, V17, P125 De Castro C., 2014, REV TRABAJO, V11, P89 De Wit J, 2007, NJAS-WAGEN J LIFE SC, V54, P449, DOI 10.1016/S1573-5214(07)80015-7 Food Ethics Council, 2010, FOOD JUST REP FOOD F Foro Civico Europeo, 2000, EJ TIERR SIN LEY Francis C, 2003, J SUSTAIN AGR, V22, P99, DOI 10.1300/J064v22n02_07 Freidberg S, 2004, ENVIRON PLANN D, V22, P513, DOI 10.1068/d384 Gertel J., 2014, SEASONAL WORKERS MED Getz C, 2008, POLIT SOC, V36, P478, DOI 10.1177/0032329208324709 Gliessman S. R., 2007, AGROECOLOGY ECOLOGY Gottlieb R., 2010, FOOD JUSTICE Grodira F., 2013, JORNALEROS SIN PATRO Guthman J, 2004, SOCIOL RURALIS, V44, P301, DOI 10.1111/j.1467-9523.2004.00277.x Guthman J, 2007, ANTIPODE, V39, P456, DOI 10.1111/j.1467-8330.2007.00535.x Guzman GI, 2013, AGROECOL SUST FOOD, V37, P127, DOI 10.1080/10440046.2012.718997 Hall A, 2001, SOCIOL RURALIS, V41, P399, DOI 10.1111/1467-9523.00191 Hepple B.A., 2005, LABOUR LAWS GLOBAL T International Labour Organization, 2008, DECL SOC JUST FAIR G Islam S., 2011, DER BUND 0221 Jansen K, 2000, BIOL AGRIC HORTIC, V17, P247, DOI 10.1080/01448765.2000.9754845 Jimenez Diaz J., 2010, GLOBALIZACION PERSPE Jimenez Diaz J., 2010, REV INT CIENCIAS SOC, V2, P109 Junta de Andalucia, 2016, SISTEMA INFORM PRODU Lieblich A, 1998, NARRATIVE RES READIN Martinez Viega U., 2014, SEASONAL WORKERS MED Moraes N, 2012, POLITICA SOC, V49, P13, DOI 10.5209/rev_POSO.2012.v49.n1.36517 Morison J., 2005, International Journal of Agricultural Sustainability, V3, P24 Mutersbaugh T, 2005, ENVIRON PLANN A, V37, P2033, DOI 10.1068/a37369 Nousiainen M, 2009, J SUSTAIN AGR, V33, P566, DOI 10.1080/10440040902997819 Polanyi Karl, 1944, GREAT TRANSFORMATION Pope J, 2004, ENVIRON IMPACT ASSES, V24, P595, DOI 10.1016/j.eiar.2004.03.001 Raynolds L. T., 2000, Agriculture and Human Values, V17, P297, DOI 10.1023/A:1007608805843 Sanchez-Picon A, 2011, J ARID ENVIRON, V75, P1360, DOI 10.1016/j.jaridenv.2010.12.014 Shreck A, 2006, AGR HUM VALUES, V23, P439, DOI 10.1007/s10460-006-9016-2 Timmermann C, 2015, AGR HUM VALUES, V32, P523, DOI 10.1007/s10460-014-9581-8 Weiler AM, 2016, ANTIPODE, V48, P1140, DOI 10.1111/anti.12221 NR 46 TC 3 Z9 3 U1 1 U2 9 PU TAYLOR & FRANCIS INC PI PHILADELPHIA PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA SN 2168-3565 EI 2168-3573 J9 AGROECOL SUST FOOD JI Agroecol. Sustain. Food Syst. PY 2016 VL 40 IS 10 BP 1133 EP 1156 DI 10.1080/21683565.2016.1224213 PG 24 WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology SC Agriculture; Science & Technology - Other Topics GA EB2AY UT WOS:000387160300006 OA Green Published DA 2019-04-09 ER PT J AU Creaney, R Niewiadomski, P AF Creaney, Rachel Niewiadomski, Piotr TI Tourism and Sustainable Development on the Isle of Eigg, Scotland SO SCOTTISH GEOGRAPHICAL JOURNAL LA English DT Article DE sustainable tourism; sustainable development; island tourism; Eigg; Scotland ID STATES AB Although the concept of sustainability has long permeated the literature on tourism and its development, the research on sustainability in tourism rarely reaches beyond the industry level to examine how tourism contributes to the sustainable development of a given destination in wider terms and how effective such processes can be in different economic, environmental and socio-cultural settings. The aim of this paper is to contribute to this important, yet under-developed, research agenda. The paper focuses on the Isle of Eigg - a remote community-owned Scottish island that has recently committed itself to becoming more sustainable and that seeks to rely on inbound tourism as the most important means to this end. It is demonstrated that tourism plays a key role in enhancing the economic stature of Eigg residents and that, rather than undermining, it strengthens the community cohesion on the island. Despite this, its contribution to the island's environmental sustainability cannot always be taken for granted and some trade-offs between these three kinds of sustainability cannot therefore be avoided. Moreover, economic sustainability on Eigg should not be considered synonymous with economic self-sufficiency. C1 [Creaney, Rachel] James Hutton Inst, Social Econ & Geog Sci Grp, Aberdeen, Scotland. [Niewiadomski, Piotr] Univ Aberdeen, Sch Geosci, Geog & Environm, St Marys Bldg,Elphinstone Rd, Aberdeen AB24 3UF, Scotland. RP Niewiadomski, P (reprint author), Univ Aberdeen, Sch Geosci, Geog & Environm, St Marys Bldg,Elphinstone Rd, Aberdeen AB24 3UF, Scotland. EM p.niewiadomski@abdn.ac.uk CR Aitchison C., 2003, Managing Leisure, V8, P133, DOI 10.1080/1360671032000123663 [Anonymous], 2008, BBC NEWS [Anonymous], 2010, BBC NEWS Ayres R., 2000, INT J SOC ECON, V27, P114, DOI DOI 10.1108/03068290010308992 Baum T., 1999, International Journal of Tourism Research, V1, P299, DOI 10.1002/(SICI)1522-1970(199909/10)1:5<299::AID-JTR198>3.0.CO;2-L BBC Countryfile, 2013, EIGG SANCT SEA Bramwell B., 1993, J SUSTAIN TOUR, V1, P1, DOI DOI 10.1080/09669589309450696 BRIGUGLIO L, 1995, WORLD DEV, V23, P1615, DOI 10.1016/0305-750X(95)00065-K Briguglio L, 1996, SUSTAINABLE TOURISM BRITTON S, 1991, ENVIRON PLANN D, V9, P451, DOI 10.1068/d090451 Brougham J. E., 1981, Annals of Tourism Research, V8, P569, DOI 10.1016/0160-7383(81)90042-6 Brunt P, 1999, ANN TOURISM RES, V26, P493, DOI 10.1016/S0160-7383(99)00003-1 Bryden J. M., 1973, TOURISM DEV CASE STU Butler R., 2005, TOURISM DEV ISSUES V, P127 Butler R. W., 1999, TOURISM GEOGR, P7, DOI DOI 10.1080/14616689908721291 Butler R. W., 2000, TOURISM GEOGR, V2, P337, DOI DOI 10.1080/14616680050082553 Butler R, 2011, ECOTOUR BK SER, P140, DOI 10.1079/9781845936792.0140 Caledonian MacBrayne (CalMac), 2013, GO DAYS OUT Caledonian MacBrayne (CalMac), 2013, FERR GUID JAN OCT 20 Canavan B, 2014, J SUSTAIN TOUR, V22, P127, DOI 10.1080/09669582.2013.819876 Carlsen J, 2011, ECOTOUR BK SER, P1, DOI 10.1079/9781845936792.0001 Clarke J., 1997, Journal of Sustainable Tourism, V5, P224 Coppock J., 1977, TOURISM TOOL REGIONA, P11 Cronin L., 1990, World Leisure & Recreation, V32, P12 Debbage D., 1998, EC GEOGRAPHY TOURIST, P17 Drakakis-Smith D., 1993, DEV PROCESS SMALL IS Dressler C., 1998, EIGG STORY ISLAND Eigg: Island Going Green, 2010, BIG GREEN FOOTST SMA Farrell B., 2005, Journal of Sustainable Tourism, V13, P109 Farrell BH, 1999, TOURISM MANAGE, V20, P189 Goulding PJ, 2005, J QUAL ASSUR HOSP TO, V5, P209, DOI 10.1300/J162v05n02_11 Hall C. M., 2014, GEOGRAPHY TOURISM RE Hardy A., 2002, Journal of Sustainable Tourism, V10, P475 Harrison D., 2003, PACIFIC ISLAND TOURI, P1 Highlands and Islands Enterprise, 2012, OH MAR TOUR MAR TOUR Hunter C, 1997, ANN TOURISM RES, V24, P850, DOI 10.1016/S0160-7383(97)00036-4 Ioannides D., 1998, EC GEOGRAPHY TOURIST, P1 Isle of Eigg Heritage Trust the (IEHT), 2007, ISL EIGG STRAT PLAN Johnston CS, 2014, J SUSTAIN TOUR, V22, P195, DOI 10.1080/09669582.2013.828731 Lansing P, 2007, J BUS ETHICS, V72, P77, DOI 10.1007/s10551-006-9157-7 Liu ZhenHua, 2003, Journal of Sustainable Tourism, V11, P459 Lockhart D, 1997, ISLAND TOURISM TREND Lu JY, 2009, J SUSTAIN TOUR, V17, P5, DOI 10.1080/09669580802582480 MacAskill J., 1999, WE HAVE WON LAND STO MacLellan R., 1998, TOURISM SCOTLAND, pix Malcher L., 2013, GOOD EIGG SCOTTISH I Marine Arisaig, 2013, ISL WILDL CRUIS BROU Mathieson A., 1982, TOURISM EC PHYS SOCI McIntosh A, 2001, SOIL SOUL PEOPLE VER Mowforth M, 2009, TOURISM SUSTAINABILI Nunkoo R, 2010, J SUSTAIN TOUR, V18, P675, DOI 10.1080/09669581003602341 Page S. J., 2006, TOURISM MODERN SYNTH Prosser R., 1994, Ecotourism: a sustainable option?., P19 Renewable Energy Blog, 2012, BIG GREEN FOOTSTEPS Robinson M., 2004, TOURISM GLOBALISATIO Ruhanen L, 2013, J SUSTAIN TOUR, V21, P80, DOI 10.1080/09669582.2012.680463 Sail Scotland, 2013, SAIL SCOTL BROCH Scheyvens R, 2008, J SUSTAIN TOUR, V16, P491, DOI 10.2167/jost821.0 Scottish Government, 2011, GOVT EC STRAT Scottish Government, 2010, EC IMP WILDL TOUR SC Scottish Natural Heritage, 2015, VAL NAT BAS TOUR SCO Sharpley R., 2000, J SUSTAIN TOUR, V8, P1, DOI DOI 10.1080/09669580008667346 Small Isles Community Council, 2012, SMALL ISL DEV PLAN 2 Stabler MJ, 1996, ISL STUD SER, P170 Street A., 2013, ANSWER REMOTE ISLAND Swarbrooke J, 1999, SUSTAINABLE TOURISM Teo P., 2002, Journal of Sustainable Tourism, V10, P459 UNWTO, 2014, TOURISM HIGHLIGHTS Visit Scotland, 2014, EXPL FORT WILL LOCH Visit Scotland, 2010, SUST TOUR STRAT 2010 Visit Scotland, 2014, TOUR SCOTL REG 2013 Wall G., 1982, TOURISM CHANGE IMPAC Wall G., 2006, TOURISM CHANGE IMPAC WCED (World Commission on Environmental and Development), 1987, OUR COMMON FUTURE Williams S., 2009, TOUR GEOGRAPHY NEW S NR 75 TC 1 Z9 1 U1 1 U2 4 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 1470-2541 EI 1751-665X J9 SCOT GEOGR J JI Scott. Geogr. J. PY 2016 VL 132 IS 3-4 BP 210 EP 233 DI 10.1080/14702541.2016.1146327 PG 24 WC Geography SC Geography GA DZ2KN UT WOS:000385670800003 OA Bronze DA 2019-04-09 ER PT J AU Gegout, C AF Gegout, Catherine TI Unethical power Europe? Something fishy about EU trade and development policies SO THIRD WORLD QUARTERLY LA English DT Article DE European Union; Africa; neoliberalism; fisheries; trade; development ID COMMON FISHERIES POLICY; LAKE VICTORIA; AGREEMENTS; FOOD; SUSTAINABILITY; PARTNERSHIP; COUNTRIES; AFRICA; POOR AB This article analyses the impact of European Union (EU) policies in the field of fisheries on development in Africa. It contests the premise that the EU promotes local economies, and argues that it often contributes to depleting fish stocks, distorting African economic policies and harming fishers' communities. In so doing, the EU is violating its basic duty to avoid harm to other states. However, it is now committed to sustainable development. This article offers suggestions on policies which would enable the EU to take on both its negative and positive duties. C1 [Gegout, Catherine] Univ Nottingham, Sch Polit & Int Relat, Nottingham NG7 2RD, England. RP Gegout, C (reprint author), Univ Nottingham, Sch Polit & Int Relat, Nottingham NG7 2RD, England. EM Catherine.gegout@nottingham.ac.uk FU British Academy; European Union FX This article was written in the framework of the CoReach project on 'Europe and China: Addressing New International Security and Development Challenges in Africa', which was funded by the British Academy and the European Union. CR Abila R. O., 1997, 2 IUCN Africa Progress Panel, 2004, AFR COULD EARN BILL Aghion P, 1997, REV ECON STUD, V64, P151, DOI 10.2307/2971707 Alder J., 2004, Journal of Environment & Development, V13, P156, DOI 10.1177/1070496504266092 Amin S, 2006, MONTHLY REV [Anonymous], 2008, NY TIMES [Anonymous], 2000, AFRICAN BUSINESS, P18 [Anonymous], 2013, FINANCIAL TIMES Belschner T, 2015, J EUR PUBLIC POLICY, V22, P985, DOI 10.1080/13501763.2014.989891 Bene C, 2008, OECD FOOD AGR FISHER, V10 Bieler A, 2013, REV INT STUD, V39, P161, DOI 10.1017/S0260210512000083 Bloss E, 2004, J TROP PEDIATRICS, V50, P260, DOI 10.1093/tropej/50.5.260 Bretherton C., 2008, J EUROPEAN INTEGRATI, V30, P401 Carbone M, 2013, J INT DEV, V25, P742, DOI 10.1002/jid.2929 Carneiro G, 2011, MAR FISH REV, V73, P1 Copeland D., 2014, W AFRICA HAS VAST MA Daw T, 2005, MAR POLICY, V29, P189, DOI 10.1016/j.marpol.2004.03.003 Di Tella R, 2009, BROOKINGS PAP ECO AC, P285 ECDPM, 2011, 120 ECDPM Eggert H, 2015, FISH RES, V167, P156, DOI 10.1016/j.fishres.2015.02.015 European Commission, 2014, EX EV POSS FUT FISH European Union, 2009, GREEN PAP REF COMM F European Union, 2008, CONS VERS TREAT FUNC European Union, 2012, DOC9369122012 European Union, 2005, EUR CONS DEV POL European Union, 2015, CFP REF MAX SUST YIE FAO, 2014, STAT WORLD FISH AQ FAO, 2012, STAT WORLD FISH AQ Fish2Fork, 2014, ATL BLU TUN NO LONG Flint A, 2008, TRADE, POVERTY AND THE ENVIRONMENT: THE EU, COTONOU AND THE AFRICAN-CARIBBEAN-PACIFIC BLOC, P1, DOI 10.1057/9780230582712 Food and Agriculture Organization (FAO), 2014, FISHSTAT Franchino F, 2003, EUR UNION POLIT, V4, P11, DOI 10.1177/1465116503004001579 Friedman M, 2002, CAPITALISM FREEDOM Fulgencio K., 2009, AFRICAN J POLITICAL, V3, P433 Gamble A, 2006, NEOLIBERAL REVOLUTION: FORGING THE MARKET STATE, P20 Geheb K, 2008, FOOD POLICY, V33, P85, DOI 10.1016/j.foodpol.2007.06.001 Gilpin Robert, 2001, GLOBAL POLITICAL EC Githinji V., 2011, J RES PEACE GENDER D, P257 Goldthau A., 2014, REV INT POLIT ECON, V22, P1 Gray T, 2003, MAR POLICY, V27, P545, DOI 10.1016/S0308-597X(03)00066-6 Greenpeace, 2015, GREENP SUBM PUBL CON Greenpeace, 2012, SEN FISH SMIL AG Harvey D., 2005, BRIEF HIST NEOLIBERA Hyde-Price A., 2008, INT AFF, V84, P9 International Organization for Migration, 2010, DIV HUM TRAFF TREND Interpol, 2014, STUD FISH CRIM W AFR Johnson Jennifer Lee, 2009, AFRICAN J TROPICAL H, V12, P31 Jonsson JH, 2012, INT SOC WORK, V55, P504, DOI 10.1177/0020872812436625 Kabahenda M. K., 2009, 1974 WORLD FISH CTR Kaczynski VM, 2002, MAR POLICY, V26, P75, DOI 10.1016/S0308-597X(01)00039-2 Kent G, 1997, FOOD POLICY, V22, P393, DOI 10.1016/S0306-9192(97)00030-4 Khalilian S, 2010, MAR POLICY, V34, P1178, DOI 10.1016/j.marpol.2010.04.001 Kissack R, 2015, J EUR PUBLIC POLICY, V22, P1295, DOI 10.1080/13501763.2015.1046899 Kurien J., 2004, RESPONSIBLE FISH TRA Langan M, 2012, NEW POLIT ECON, V17, P243, DOI 10.1080/13563467.2011.562975 Lawrence O., 2012, IMPACT EU COMMON AGR Le Manach F., 2013, MAR POLICY, V38, P257, DOI DOI 10.1016/J.MARP0L.2012.06.001 Lequesne C, 2004, POLITICS FISHERIES E Manners I, 2002, J COMMON MARK STUD, V40, P235, DOI 10.1111/1468-5965.00353 Molony T., 2007, REV AFRICAN POLITICA, V34, P598 Morton A. D., 2010, LAT AM PERSPECT, V37, P13 MRAG, 2010, SUST FISH MAN INT EX MRAG, 2007, COMP STUD IMP FISH P MRAG, 2010, EST COST ILL FISH W Mugabe, 2009, BUSINESS DAY Nagel P, 2012, OCEAN COAST MANAGE, V56, P26, DOI 10.1016/j.ocecoaman.2011.11.002 Naturskyddsforeningen, 2009, TO DRAW THE LINE Neiland A. E., 2006, CONTRIBUTION FISH TR New Vision, 2013, NEW VISION 0416 New Vision, 2013, NEW VISION 0405 New Vision, 2008, NEW VISION 0427 NYAMNJOH H. M., 2010, WE GET NOTHING FISHI Oceanic Development, 2004, FISH200302 OC DEV Oceanic Development, 2012, FISH200302 OC DEV Oceanic Development, 2010, FISH200620 OC DEV Oceanic Development, 2011, FISH200620 OC DEV Odongkara K., 2009, AFRICAN J TROPICAL H, V12, P47, DOI DOI 10.4314/AJTHF.V12I1.57369 Onyango P. O., 2011, MAST, V10, P117 Pogge T., 2008, WORLD POVERTY HUMAN Ponte S, 2007, AGR HUM VALUES, V24, P179, DOI 10.1007/s10460-006-9046-9 Rodrik D., 2001, GLOBAL GOVERNANCE TR Ruccio David F., 2010, DEV GLOBALIZATION MA Schmidt C. C., 2003, GLOBALISATION IND ST Shively G., 2012, REV AGR FOOD SECURIT Siles-Brugge G, 2014, CONSTRUCTING EUROPEA Singer P, 2006, COMPANION ETHICS Smith A., 1910, WEALTH NATIONS, V2 Stevens C, 2008, NEW POLIT ECON, V13, P211, DOI 10.1080/13563460802018562 Stilwell J, 2010, MAR POLICY, V34, P616, DOI 10.1016/j.marpol.2009.11.012 Tsamenyi M., 2009, FAIRER FISHING United Nations, 1995, UN FISH STOCKS AGR United States Trade Representative, US VIET NAM PLAN ENH Virdin J., 2012, GOVERNANCE W AFRICAN Wanko P., 2015, FUTURE FISHERIES W A Ward J. M, 2004, 4331 FAO Westaway E., 2009, MARITIME STUDIES, V8, P73 Winter G., 74 ENV POL LAW Witbooi E, 2008, MAR POLICY, V32, P669, DOI 10.1016/j.marpol.2007.11.008 WorldFish, 2015, GIV WOM VOIC GHAN CO WWF, 2014, FISH PROBL PIR FISH NR 100 TC 2 Z9 2 U1 1 U2 7 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0143-6597 EI 1360-2241 J9 THIRD WORLD Q JI Third World Q. PY 2016 VL 37 IS 12 BP 2192 EP 2210 DI 10.1080/01436597.2016.1176855 PG 19 WC Development Studies SC Development Studies GA EA7AD UT WOS:000386779500004 DA 2019-04-09 ER PT J AU Christ, KL Burritt, R Varsei, M AF Christ, Katherine Leanne Burritt, Roger Varsei, Mohsen TI Towards environmental management accounting for trade-offs SO SUSTAINABILITY ACCOUNTING MANAGEMENT AND POLICY JOURNAL LA English DT Article DE Sustainability; Carbon emissions; Environmental management accounting; Trade-offs; Water risk; Win-wins ID CORPORATE SUSTAINABILITY; CLEANER PRODUCTION; WATER MANAGEMENT; WINE PRODUCTION; SUPPLY CHAINS; PERFORMANCE; ACCOUNTABILITY; INDICATORS; AUSTRALIA; DECISIONS AB Purpose - Environmental Management Accounting (EMA) information has become synonymous with win-win decision settings, but this paper aims to consider how EMA support can be extended to company managers who face the dynamics of win-wins and trade-offs. Design/methodology/approach - Based on extant literature, the paper suggests an important extension of the use of EMA in support of management decision-making. The need for extended consideration and use of EMA to help overcome trade-offs is illustrated using the case of a wine bottling plant location decision by an Australian company in a global supply chain transporting wine from Australia to North America and Europe. Findings - Results confirm the need to add to the broader use of EMA to assist managers attempting to solve real world trade-off problems between economic performance, carbon equivalent emissions reduction and water risk reduction. Research limitations/implications - Generalisation of the single wine company case illustration to other companies and similar industry settings remains to be investigated. Practical implications - Trade-offs are considered between economic benefit and two environmental performance matters of concern to the company, carbon equivalent emissions reduction and water risk reduction. Originality/value - The paper introduces the notion of extending the use of EMA as a pragmatic way for managers to assess trade-off situations with environmental alternatives where no optimal solution is available. Value is added through the real case study of an Australian wine company. C1 [Christ, Katherine Leanne] Univ South Australia, Sch Business, Adelaide, SA, Australia. [Burritt, Roger] Macquarie Univ, Sydney, NSW, Australia. [Varsei, Mohsen] Australian Inst Business, Adelaide, SA, Australia. RP Christ, KL (reprint author), Univ South Australia, Sch Business, Adelaide, SA, Australia. EM chrkl002@mymail.unisa.edu.au RI Christ, Katherine/A-8966-2019 OI Christ, Katherine/0000-0003-4684-2062 CR Bartolomeo M., 2000, EUROPEAN ACCOUNTING, V9, P31, DOI DOI 10.1080/096381800407932 Bouma J.J., 2002, ENV MANAGEMENT ACCOU, P279 Brown J, 2006, BUS STRATEG ENVIRON, V15, P103, DOI DOI 10.1002/BSE.452 Burnett RD, 2008, ACCOUNT ORG SOC, V33, P551, DOI 10.1016/j.aos.2007.06.002 Burritt R. L, 2001, ENV MANAGEMENT HLTH, V12, P158, DOI DOI 10.1108/09566160110389924 Burritt RL, 2005, ECO EFFICIEN IND SCI, V18, P19 Burritt RL, 2005, ECO EFFICIEN IND SCI, V18, P123 Burritt RL, 2006, J CLEAN PROD, V14, P1262, DOI 10.1016/j.jclepro.2005.08.012 Burritt RL, 2012, J CLEAN PROD, V36, P39, DOI 10.1016/j.jclepro.2012.02.001 Burritt RL, 2011, AUST ACCOUNT REV, V21, P80, DOI 10.1111/j.1835-2561.2010.00121.x Burritt RL, 2009, J CLEAN PROD, V17, P431, DOI 10.1016/j.jclepro.2008.07.005 Cholette S, 2009, J CLEAN PROD, V17, P1401, DOI 10.1016/j.jclepro.2009.05.011 Christ KL, 2014, BRIT ACCOUNT REV, V46, P379, DOI 10.1016/j.bar.2014.10.003 Christ KL, 2013, J CLEAN PROD, V53, P232, DOI [10.1016/j.jclepro.2013.04.007, 10.1016/j.jclepro,2013.04.007] Christ KL, 2013, J CLEAN PROD, V41, P163, DOI 10.1016/j.jclepro.2012.10.007 Colman Tyler, 2009, Journal of Wine Research, V20, P15, DOI 10.1080/09571260902978493 Commonwealth of Australia, 2016, AUSTR GRAP WIN IND Deegan C, 2014, BRIT ACCOUNT REV, V46, P397, DOI 10.1016/j.bar.2014.10.002 Delmas MA, 2014, BUS SOC, V53, P6, DOI 10.1177/0007650310362254 Dicks LV, 2014, TRENDS ECOL EVOL, V29, P607, DOI 10.1016/j.tree.2014.09.004 Ditz D., 1995, GREEN LEDGERS CASE S Drezner Z, 2002, FACILITY LOCATION AP EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557 Ernst & Young, 2012, PREP WAT SCARC RAIS Fakoya MB, 2013, J CLEAN PROD, V40, P136, DOI 10.1016/j.jclepro.2012.09.013 Ferreira A, 2010, ACCOUNT AUDIT ACCOUN, V23, P920, DOI 10.1108/09513571011080180 Figge F, 2002, BUS STRATEG ENVIRON, V11, P269, DOI [10.1002/bse.339, DOI 10.1002/BSE.339] FIVS, 2016, INT WIN CARB CALC PR Frost P., 2007, WINE IND J, V22, P40 Gallo PJ, 2011, BUS SOC, V50, P315, DOI 10.1177/0007650311398784 Garcia-Castro R, 2011, BUS SOC, V50, P428, DOI 10.1177/0007650308315493 Giljum S, 2011, RESOUR CONSERV RECY, V55, P300, DOI 10.1016/j.resconrec.2010.09.009 Hahn T, 2014, ACAD MANAGE REV, V39, P463, DOI 10.5465/amr.2012.0341 Hahn T, 2011, J BUS ETHICS, V104, P325, DOI 10.1007/s10551-011-0911-0 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Henri JF, 2014, EUR ACCOUNT REV, V23, P647, DOI 10.1080/09638180.2013.837400 Hertin J, 2008, J ENVIRON PLANN MAN, V51, P259, DOI 10.1080/09640560701865040 Herzig C., 2012, ENV MANAGEMENT ACCOU IFAC, 2005, INT GUID DOC ENV MAN Infrastructure Australia, 2016, PRIOR REF OUR NAT FU Institute of Chartered Accountants in England Wales (ICAEW), 2003, INF BETT MARK IN Jasch C., 2010, ISSUES SOC ENV ACCOU, V4, P89 Jones TM, 1999, ACAD MANAGE REV, V24, P206, DOI 10.2307/259075 Juntti M, 2009, ENVIRON SCI POLICY, V12, P207, DOI 10.1016/j.envsci.2008.12.007 Kagan RA, 2003, LAW SOC REV, V37, P51, DOI 10.1111/1540-5893.3701002 Kumar A., 2009, WINERY WASTEWATER GE Lam SW, 2013, OPER RES, V61, P214, DOI 10.1287/opre.1120.1132 Lin R., 2013, IBIS WORLD IND REPOR Maunders K.T., 1991, ACCOUNTING AUDITING, V23, P9 McIntosh BS, 2005, ENVIRON MANAGE, V35, P741, DOI 10.1007/s00267-004-0172-0 McKinsey Global Institute, 2013, INFR PROD SAV 1 TRIL Miller SA, 2007, ENVIRON SCI TECHNOL, V41, P5176, DOI 10.1021/es072581z Morrison J., 2010, CORPORATE WATER ACCO Norreklit H, 2000, MANAGE ACCOUNT RES, V11, P65, DOI DOI 10.1006/MARE.1999.0121 Owen D., 2008, ACCOUNTING AUDITING, V21, P240, DOI DOI 10.1108/09513570810854428 Owen SH, 1998, EUR J OPER RES, V111, P423, DOI 10.1016/S0377-2217(98)00186-6 Parker L. D., 2000, AUSTR ACCOUNTING REV, V10, P46, DOI [10.1111/j.1835-2561.2000.tb00054.x, DOI 10.1111/J.1835-2561.2000.TB00054.X] Peterson M, 2006, RISK ANAL, V26, P595, DOI 10.1111/j.1539-6924.2006.00781.x Point E, 2012, J CLEAN PROD, V27, P11, DOI 10.1016/j.jclepro.2011.12.035 Reich-Weiser C., 2010, Journal of Wine Research, V21, P197, DOI 10.1080/09571264.2010.530111 Riccaboni A, 2010, INT J PRODUCT PERFOR, V59, P130, DOI 10.1108/17410401011014221 Ridoutt BG, 2009, J CLEAN PROD, V17, P1228, DOI 10.1016/j.jclepro.2009.03.002 Scapens R., 1994, MANAGEMENT ACCOUNTIN, V5, P301, DOI DOI 10.1006/MARE.1994.1019 Schaltegger S., 2015, J BUSINESS ETHICS Schaltegger S., 2002, AUST ACCOUNT REV, V12, P39, DOI DOI 10.1111/J.1835-2561.2002.TB00202.X Schaltegger S., 2000, CONT ENV ACCOUNTING Schaltegger S., 2002, ENV MANAGEMENT ACCOU, P265 Schaltegger S, 2005, INT REV ENVIRON RESO, V0, P185 Schaltegger S, 2012, J CLEAN PROD, V29-30, P1, DOI 10.1016/j.jclepro.2012.02.011 Schaltegger S, 2010, J WORLD BUS, V45, P375, DOI 10.1016/j.jwb.2009.08.002 Shah AK, 2008, PSYCHOL BULL, V134, P207, DOI 10.1037/0033-2909.134.2.207 Shapiro J. F, 2007, MODELING SUPPLY CHAI Signori S, 2013, STUD MANAG FINANC AC, V26, P115, DOI 10.1108/S1479-3512(2013)0000026004 Sivill L, 2013, INT J ENERG RES, V37, P936, DOI 10.1002/er.2898 Staniskis JK, 2006, J CLEAN PROD, V14, P1252, DOI 10.1016/j.jclepro.2005.08.009 Starik M., 2005, ELECT J RADICAL ORG, V9, P37 Taylor N, 2003, ENVIRON PLANN C, V21, P89, DOI 10.1068/c0219 Varsei M., 2015, P 75 ANN M AC MAN VA, P2151 Varsei M, 2014, SUPPLY CHAIN MANAG, V19, P242, DOI 10.1108/SCM-12-2013-0436 WCED (World Commission on Environmental and Development), 1987, OUR COMMON FUTURE Wheeler S, 2014, J HYDROL, V518, P28, DOI 10.1016/j.jhydrol.2013.09.019 Wilmshurst T.D., 2001, BUSINESS STARTEGY EN, V10, P135 Yakhou M., 2004, BUSINESS STRATEGY EN, V13, P65 NR 83 TC 4 Z9 4 U1 1 U2 8 PU EMERALD GROUP PUBLISHING LTD PI BINGLEY PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND SN 2040-8021 EI 2040-803X J9 SUSTAIN ACCOUNT MANA JI Sustain. Account. Manag. Policy J. PY 2016 VL 7 IS 3 BP 428 EP 448 DI 10.1108/SAMPJ-12-2015-0112 PG 21 WC Business, Finance; Environmental Studies; Management SC Business & Economics; Environmental Sciences & Ecology GA DZ9TD UT WOS:000386221100004 DA 2019-04-09 ER PT J AU Grabs, J Kilian, B Hernandez, DC Dietz, T AF Grabs, Janina Kilian, Bernard Calderon Hernandez, Daniel Dietz, Thomas TI Understanding Coffee Certification Dynamics: A Spatial Analysis of Voluntary Sustainability Standard Proliferation SO INTERNATIONAL FOOD AND AGRIBUSINESS MANAGEMENT REVIEW LA English DT Article DE Voluntary Sustainability Standards; standard take-up; coffee; sustainable value chains ID GLOBAL BUSINESS REGULATION; FAIR TRADE; GOVERNANCE; CHAIN AB Third-party Voluntary Sustainability Standards (VSS) have emerged as an increasingly popular strategy to guarantee sustainability in the coffee value chain. Yet, knowledge of the population characteristics of certified farmers, and of the influence of transnational and local supply chain actors on the uptake of VSS at the producer level, is still scarce. Using expert interviews, a comprehensive database of certificate holders and spatial mapping analyses, this paper adds to present knowledge concerning the effectiveness of VSS in the coffee sector in three ways. First, it showcases the structural, geographical and socio-economic tendencies toward VSS adoption in Guatemala, Colombia and Costa Rica, and allows first insights in the additionality and effectiveness of certification schemes derived from these indicators. Second, it contributes to an up-to-date understanding of the coffee supply chain, a sector of great economic importance both to producing and consuming countries that is in constant flux and reorganization, and it explains how current VSS interact with this type of global supply chain. Finally, through the construction of a comprehensive population of certified farmers, it enables better evaluation of existing case studies, generalizability, possible biases and provides valuable information for the preparation of future impact evaluation projects. C1 [Grabs, Janina; Dietz, Thomas] Univ Munster, Inst Polit Sci, Scharnhorststr 100, D-48151 Munster, Germany. [Kilian, Bernard; Calderon Hernandez, Daniel] INCAE Business Sch, POB 960-4050, La Garita, Alajuela, Costa Rica. RP Grabs, J (reprint author), Univ Munster, Inst Polit Sci, Scharnhorststr 100, D-48151 Munster, Germany. EM Janina.grabs@uni-muenster.de; Bernard.kilian@incae.edu; Daniel.calderon@incae.edu; Thomas.dietz@uni-muenster.de OI Grabs, Janina/0000-0002-1630-5672 FU junior research group TRANS SUSTAIN by the Land Nordrhein-Westfalen, Ministerium fur Innovation, Wissenschaft und Forschung FX We gratefully acknowledge the financial support of the junior research group TRANS SUSTAIN by the Land Nordrhein-Westfalen, Ministerium fur Innovation, Wissenschaft und Forschung, without which the present study could not have been completed. We also thank the anonymous expert interviewees as well as three anonymous reviewers for their valuable input and comments. CR Arnould EJ, 2009, J PUBLIC POLICY MARK, V28, P186, DOI 10.1509/jppm.28.2.186 Auld G., 2007, INT STUD ASS C Bamber P, 2014, BURUNDI COFFEE GLOBA Bitzer V, 2013, AGR HUM VALUES, V30, P5, DOI 10.1007/s10460-012-9372-z Bolwig S, 2009, WORLD DEV, V37, P1094, DOI 10.1016/j.worlddev.2008.09.012 Boyle M., 2014, BLOOMBERG BUSINESS Cashore B, 2004, GOVERNANCE MARKETS F Chacon Sanchez C., 2008, ESTUDIO MERCADO CAFE Cohen L., 2015, REUTERS Coricafe.com, 2012, COST RIC DEPTH COFF Dietz T., 2014, EFFICACY PRIVATE VOL Elder SD, 2014, PROG DEV STUD, V14, P77, DOI 10.1177/1464993413504354 Fair Trade USA, 2016, GLOB REACH MAP Federacion Nacional de Cafeteros de Colombia (FNC), 2014, INF COM DEP Federacion Nacional de Cafeteros de Colombia (FNC), 2015, AR CULT AN DESD 2002 Fischer E.F., 2014, LAT AM RES REV, V49, P3 FLOCERT, 2016, FAIRTR CUST SEARCH Forrer J, 2013, ORGAN ENVIRON, V26, P260, DOI 10.1177/1086026613495683 Fransen L, 2012, REV INT POLIT ECON, V19, P236, DOI 10.1080/09692290.2011.552788 Fransen L, 2011, GOVERNANCE, V24, P359, DOI 10.1111/j.1468-0491.2011.01519.x Gereffi G., 1999, I DEV STUDIES, V8, P1 Gibbon P., 2005, TRADING AFRICA VALUE Pinto LFG, 2014, ECOL ECON, V107, P59, DOI 10.1016/j.ecolecon.2014.08.006 Howard PH, 2013, SUSTAINABILITY-BASEL, V5, P72, DOI 10.3390/su5010072 Instituto del Cafe de Costa Rica (ICAFE), 2015, PROC LIQ Instituto del Cafe de Costa Rica (ICAFE), 2014, INF ACT CAF COST RIC Instituto del Cafe de Costa Rica (ICAFE), 2015, CAF SOST COST RIC Instituto Nacional de Estadistica y Censos (INEC), 2015, CENS AGR 2014 International Coffee Organization [ICO], 2014, WORLD COFF TRAD 1963 Kalfagianni A., 2015, CHANGING LANDSCAPE F, P134 Kaplinsky R., 2004, INT J TECHNOLOGY GLO, V1, P1, DOI DOI 10.1504/IJTG.2004.004548 Karjalainen K, 2013, J BUS ETHICS, V116, P267, DOI 10.1007/s10551-012-1469-1 Klynveld Peat Marwick Goerdeler (KPMG), 2013, IMPR SMALLH LIV EFF Kolk A., 2005, European Management Journal, V23, P228, DOI 10.1016/j.emj.2005.02.003 Kuir M, 2014, SMALL SCALE FARMERS Kuit M., 2013, SUSTAINABLE COFFEE C Lambin EF, 2014, GLOBAL ENVIRON CHANG, V28, P129, DOI 10.1016/j.gloenvcha.2014.06.007 Levy D, 2016, J MANAGE STUD, V53, P364, DOI 10.1111/joms.12144 Luxner L., 2015, THE TICO TIMES Ministerio de Agricultura Ganaderia y Alimentacion de Guatemala (MAGA), 2015, AGR CIFR 2014 Moxham C, 2014, SUPPLY CHAIN MANAG, V19, P413, DOI 10.1108/SCM-09-2013-0332 Nadvi K, 2008, J ECON GEOGR, V8, P323, DOI 10.1093/jeg/lbn003 Organisation for Economic Co-operation and Development (OECD), 2015, REV OCDE POL AGR COL Panhuysen S., 2014, COFFEE BAROMETER 201 Pattberg P, 2006, BUS SOC REV, V111, P241, DOI 10.1111/j.1467-8594.2006.00271.x Potts J., 2014, STATE SUSTAINABILITY Rainforest Alliance, 2016, OUR GLOB IMP AGR Raynolds L. T., 2004, Journal of International Development, V16, P1109, DOI 10.1002/jid.1136 Raynolds LT, 2009, WORLD DEV, V37, P1083, DOI 10.1016/j.worlddev.2008.10.001 ResponsAbility.com, 2013, FAIR TRAD COFF COST Roldan-Perez A., 2009, COFFEE COOPERATION C, P1 U.S. Department of Agriculture (USDA) Foreign Ag Service, 2015, COL COFF ANN PROD RE USAID, 2010, EV CRED RUR FINC PEQ UTZ Certified, 2016, INT MAP Valkila J, 2010, J BUS ETHICS, V97, P257, DOI 10.1007/s10551-010-0508-z Vellema W, 2015, FOOD POLICY, V57, P13, DOI 10.1016/j.foodpol.2015.07.003 Vogel D, 2008, ANNU REV POLIT SCI, V11, P261, DOI 10.1146/annurev.polisci.11.053106.141706 Wilson AP, 2014, AGR ECON-BLACKWELL, V45, P91, DOI 10.1111/agec.12132 NR 58 TC 1 Z9 1 U1 0 U2 22 PU WAGENINGEN ACADEMIC PUBLISHERS PI WAGENINGEN PA PO BOX 220, WAGENINGEN, 6700 AE, NETHERLANDS SN 1559-2448 J9 INT FOOD AGRIBUS MAN JI Int. Food Agribus. Manag. Rev. PY 2016 VL 19 IS 3 BP 31 EP 55 PG 25 WC Agricultural Economics & Policy SC Agriculture GA DY7GF UT WOS:000385296900002 OA DOAJ Gold DA 2019-04-09 ER PT J AU Sidali, KL Spiller, A von Meyer-Hofer, M AF Sidali, Katia Laura Spiller, Achim von Meyer-Hoefer, Marie TI Consumer Expectations Regarding Sustainable Food: Insights from Developed and Emerging Markets SO INTERNATIONAL FOOD AND AGRIBUSINESS MANAGEMENT REVIEW LA English DT Article DE sustainable food; consumer expectations; international marketing; multi-group comparison; invariance analysis ID PROFILING GREEN CONSUMERS; WILLINGNESS-TO-PAY; SOCIO-DEMOGRAPHICS; ANIMAL-WELFARE; CHOICE MOTIVES; FAIR TRADE; CONSUMPTION; VALUES; LABELS; QUESTIONNAIRE AB This study advances marketers' knowledge about consumer expectations regarding sustainable food in both industrialized (Germany, United States, Switzerland) and emerging economies (Brazil, China, India). Data was obtained through an online consumer survey of 1,179 respondents. Findings show that consumer expectations regarding sustainable food consist of five factors: ethic attributes, naturalness, health-related aspects, terroir, and innovation. International agri-business marketers can use the outcomes of this study to design well-tailored communication strategies promoting sustainable food. Scholars can build upon the resulting multi-country sustainability scale to reach a less western-biased understanding of consumer expectations of sustainable food in emerging economies. C1 [Sidali, Katia Laura; Spiller, Achim; von Meyer-Hoefer, Marie] Univ Gottingen, Dept Agr Econ & Rural Dev, Pl Gottinger Sieben 5, D-37073 Gottingen, Germany. RP von Meyer-Hofer, M (reprint author), Univ Gottingen, Dept Agr Econ & Rural Dev, Pl Gottinger Sieben 5, D-37073 Gottingen, Germany. EM katia.sidali@gwdg.de; a.spiller@agr.uni-goettingen.de; marie.von-meyer@agr.uni-goettingen.de RI SIDALI, KATIA LAURA/O-6113-2018 OI SIDALI, KATIA LAURA/0000-0002-7234-4756 FU German Research Foundation (DFG) FX This research was financially supported by the German Research Foundation (DFG). CR Abeliotis K, 2010, INT J CONSUM STUD, V34, P153, DOI 10.1111/j.1470-6431.2009.00833.x Adams M, 2010, BRIT J SOCIOL, V61, P256, DOI 10.1111/j.1468-4446.2010.01312.x Aertsens J, 2009, BRIT FOOD J, V111, P1140, DOI 10.1108/00070700910992961 Aikin H., 2011, TRENDS FOOD SCI TECH, V22 Aiking H, 2014, AM J CLIN NUTR, V100, p483S, DOI 10.3945/ajcn.113.071209 [Anonymous], 2010, ABC SCP CLAR CONC SU Antle J. M., 2001, HDB AGR EC B, V1B, P1084 BBMG GlobeScan SustainAbility, 2012, RE THINK CONS CONS F Best H, 2008, AGR HUM VALUES, V25, P95, DOI 10.1007/s10460-007-9073-1 Blaylock J, 1999, FOOD POLICY, V24, P269, DOI 10.1016/S0306-9192(99)00029-9 BRUNSO K, 1996, 35 MAPP Byrne B. M, 2013, STRUCTURAL EQUATION Carlson Les, 1996, J MACROMARKETING, V16, P57, DOI DOI 10.1177/027614679601600205 CASWELL JA, 1992, AM J AGR ECON, V74, P460, DOI 10.2307/1242500 Codron JM, 2006, AGR HUM VALUES, V23, P283, DOI 10.1007/s10460-006-9000-x Court David, 2010, MCKINSEY Q, P1 Craig CS, 2006, INT MARKET REV, V23, P322, DOI 10.1108/02651330610670479 Dagevos H, 2005, APPETITE, V45, P32, DOI 10.1016/j.appet.2005.03.006 DARBY MR, 1973, J LAW ECON, V16, P67, DOI 10.1086/466756 Davidov E., 2008, SURVEY RES METHODS, V2, P33, DOI DOI 10.1348/014466608X314935 Davidov E, 2010, INT J PUBLIC OPIN R, V22, P485, DOI 10.1093/ijpor/edq030 Davidov E, 2008, EUR SOCIOL REV, V24, P583, DOI 10.1093/esr/jcn020 de Carvalho BL, 2015, ECOL INDIC, V58, P402, DOI 10.1016/j.ecolind.2015.05.053 de Haen H, 2014, FOOD SECUR, V6, P87, DOI 10.1007/s12571-013-0323-3 Diamantopoulos A, 2003, J BUS RES, V56, P465, DOI 10.1016/S0148-2963(01)00241-7 Dickson MA, 2001, J CONSUM AFF, V35, P96, DOI 10.1111/j.1745-6606.2001.tb00104.x Doran CJ, 2009, J BUS ETHICS, V84, P549, DOI 10.1007/s10551-008-9724-1 Dosi C, 2001, ENVIRON RESOUR ECON, V18, P113, DOI 10.1023/A:1011101604084 Douglas SP, 2011, J INT MARKETING, V19, P82, DOI 10.1509/jimk.19.1.82 DUNLAP RE, 1993, ENVIRONMENT, V35, P7, DOI 10.1080/00139157.1993.9929122 Dunlap RE, 2008, SOCIOL QUART, V49, P529, DOI 10.1111/j.1533-8525.2008.00127.x Eertmans A, 2005, FOOD QUAL PREFER, V16, P714, DOI 10.1016/j.foodqual.2005.04.007 Eguillor Recabarren P. M., 2009, WORLD ORGANIC AGR ST, P189 Fair Trade International, 2013, ANN REP 2012 2013 FLO Fair Trade Labelling Organization and Fair Trade International, 2013, ANN REPORT Flores P., 2013, WORLD ORGANIC AGR ST, P285 Foedermayr EK, 2008, J STRATEG MARK, V16, P223, DOI 10.1080/09652540802117140 Food and Agriculture Organization, 2010, INT SCI S BIOD SUST Franz A., 2010, Z UMWELTPOLITIK, V33, P417 Garibay S. V., 2009, WORLD ORGANIC AGR ST, P189 Garnett T, 2013, P NUTR SOC, V72, P29, DOI 10.1017/S0029665112002947 Ghemawat P, 2003, J INT BUS STUD, V34, P138, DOI 10.1057/palgrave.jibs.8400013 Gil J.M., 2000, INT FOOD AGRIBUS MAN, V3, P207, DOI DOI 10.1016/S1096-7508(01)00040-4 Golden J. S, 2010, 2010101 DUK U NICH I Gomersall K., 2012, SUSTAIN DEV, V5, P23 Gonzalez C, 2009, J AGR ECON, V60, P604, DOI 10.1111/j.1477-9552.2009.00219.x Grolleau G, 2006, J AGR RESOUR ECON, V31, P471 Grunert K. G., 2011, International Journal on Food System Dynamics, V2, P207 Grunert KG, 2014, FOOD POLICY, V44, P177, DOI 10.1016/j.foodpol.2013.12.001 Homburg C., 1996, MARKETING Z FORSCHUN, V18, P3 Honkanen P., 2006, J CONSUM BEHAV, V5, P420, DOI DOI 10.1002/CB.190 Honkanen P, 2009, BRIT FOOD J, V111, P293, DOI 10.1108/00070700910941480 Ingelhart R., 1977, SILENT REVOLUTION CH Jahn G, 2005, J CONSUM POLICY, V28, P53, DOI 10.1007/s10603-004-7298-6 Jain SK, 2006, J INT CONSUM MARK, V18, P107, DOI 10.1300/J046v18n03_06 Johnston P, 2007, ENVIRON SCI POLLUT R, V14, P60, DOI 10.1065/espr2007.01.375 JORESKOG KG, 1971, PSYCHOMETRIKA, V36, P409, DOI 10.1007/BF02291366 Krishna VV, 2008, REV AGR ECON, V30, P233, DOI 10.1111/j.1467-9353.2008.00402.x Kung Wai O., 2013, WORLD ORGANIC AGR ST, P178 Lagerkvist CJ, 2011, EUR REV AGRIC ECON, V38, P55, DOI 10.1093/erae/jbq043 Lee A., 2012, FOOD CLUSTERS CREATI Lindeman M, 2000, APPETITE, V34, P55, DOI 10.1006/appe.1999.0293 Liu Y., 2009, C INT ASS AGR EC BEI Loureiro ML, 2005, ECOL ECON, V53, P129, DOI 10.1016/j.ecolecon.2004.11.002 Loureiro ML, 2001, J AGR RESOUR ECON, V26, P404 McCluskey J. J., 2009, Agricultural and Resource Economics Review, V38, P345 McEachern M. G., 2002, INT J CONSUM STUD, V26, P85, DOI DOI 10.1046/J.1470-6431.2002.00199.X Mergenthaler M, 2009, REV AGR ECON, V31, P266, DOI 10.1111/j.1467-9353.2009.01437.x Miller T., 1998, MARKETING NEWS, V32, P11 Moomaw W., 2012, CRITICAL ROLE GLOBAL Morris L. A., 1995, J CONSUM AFF, V22, P439 Mulvany P., 2014, FOOD SOV CRIT DIAL I Nash HA, 2009, J CLEAN PROD, V17, P496, DOI 10.1016/j.jclepro.2008.08.020 National Geographic and GlobeScan, GREEND REP 2014 CONS National Geographic & GlobeScan, GREEND REP 2012 CONS NELSON P, 1970, J POLIT ECON, V78, P311, DOI 10.1086/259630 O'Neill Jim, 2001, 66 GOLDM SACHS GLOB Padilla C, 2007, AGR TEC, V67, P300 Reisch L., 2013, SUSTAINABILITY SCI P, V9, P7, DOI DOI 10.1080/15487733.2013.11908111 Reisch L. A., 2011, DEFINITION SUSTAINAB Roberts JA, 1996, J BUS RES, V36, P217, DOI 10.1016/0148-2963(95)00150-6 Sahota A., 2013, WORLD ORGANIC AGR ST, P131 Saris W.E., 1987, SOCIOL METHODOL, P105, DOI [DOI 10.2307/271030, 10.2307/271030] Sautron V, 2015, APPETITE, V87, P90, DOI 10.1016/j.appet.2014.12.205 Shermach K., 1995, MARKETING NEWS, V29, P20 Sidali KL, 2014, BRIT FOOD J, V116, P1692, DOI 10.1108/BFJ-02-2014-0056 Sirieix L, 2011, INT J CONSUM STUD, V35, P670, DOI 10.1111/j.1470-6431.2010.00960.x Steenkamp JBEM, 1998, J CONSUM RES, V25, P78, DOI 10.1086/209528 STEPTOE A, 1995, APPETITE, V25, P267, DOI 10.1006/appe.1995.0061 SustainAbility and GlobeScan, 2012, GLOB SOC TRENDS SUST Sustainable Development Commission, 2005, SUST IMPL LITTL RED Verain MCD, 2015, APPETITE, V91, P375, DOI 10.1016/j.appet.2015.04.055 Verain MCD, 2012, INT J CONSUM STUD, V36, P123, DOI 10.1111/j.1470-6431.2011.01082.x Vermeir I, 2006, J AGR ENVIRON ETHIC, V19, P169, DOI 10.1007/s10806-005-5485-3 von Meyer-Hofer M, 2015, J FOOD PROD MARK, V21, P626 von Meyer-Hofer M, 2015, BRIT FOOD J, V117, P1082, DOI 10.1108/BFJ-01-2014-0003 von Meyer-Hofer M., 2013, KTBL TAG NEU ULM GER Weber J., 2006, ANN M MIDW ED RES AS NR 98 TC 3 Z9 3 U1 4 U2 20 PU WAGENINGEN ACADEMIC PUBLISHERS PI WAGENINGEN PA PO BOX 220, WAGENINGEN, 6700 AE, NETHERLANDS SN 1559-2448 J9 INT FOOD AGRIBUS MAN JI Int. Food Agribus. Manag. Rev. PY 2016 VL 19 IS 3 BP 141 EP 170 PG 30 WC Agricultural Economics & Policy SC Agriculture GA DY7GF UT WOS:000385296900007 OA DOAJ Gold DA 2019-04-09 ER PT J AU Vaidya, A Mayer, AL AF Vaidya, Ashma Mayer, Audrey L. TI Criteria and indicators for a bioenergy production industry identified via stakeholder participation SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY LA English DT Article DE Bioenergy; participatory method; sustainability assessment; Upper Peninsula of Michigan; woody biomass ID NATURAL-RESOURCE MANAGEMENT; BIOFUEL PRODUCTION; SUSTAINABILITY INDICATORS; ENERGY DEVELOPMENT; FOREST MANAGEMENT; SUPPLY CHAINS; SYSTEMS; OPPORTUNITIES; CERTIFICATION; BIOMASS AB As bioenergy production expands and new bioenergy-based technologies emerge, there is a growing concern regarding the sustainability of their ecological and socioeconomic impacts. Comprehensive sustainability assessments are needed to address this concern and to assure that the development of the bioenergy industry meets sustainability goals. Most sustainability assessments for bioenergy are expert-driven, broad, and largely motivated by an interest in optimizing international trade in bioenergy. As a result, social and cultural sustainability targets are vague or underdeveloped. In this study, we developed a sustainability assessment for a regional bioenergy production industry in Upper Michigan, using stakeholder participation. Semi-structured interviews and focus group meetings were used to elicit participants' concerns and opinion. These concerns were translated into sustainability Criteria and Indicators (C&Is), many of which could be supported with available science. Some of the C&Is identified by participants were unique to the region. Sustainability C&Is were broadly categorized into economic (C=5; I=22), environmental (C=6; I=12), social (C=3; I=9), policy and regulations (C=3; I=13), and institutional capacity (C=4; I=13). While participants could identify indicators for most of the criteria (many of which are also supported by existing literature), further research and validation will be necessary to identify measurable, practical, and bias-free indicators for all criteria. C1 [Vaidya, Ashma; Mayer, Audrey L.] Michigan Technol Univ, Dept Social Sci, 1400 Townsend Dr,AOB 202, Houghton, MI 49931 USA. [Mayer, Audrey L.] Michigan Technol Univ, Sch Forest Resources & Environm Sci, Dept Social Sci, 1400 Townsend Dr,AOB 202, Houghton, MI 49931 USA. RP Vaidya, A (reprint author), Michigan Technol Univ, Dept Social Sci, 1400 Townsend Dr,AOB 202, Houghton, MI 49931 USA. EM avaidya@mtu.edu FU National Science Foundation [1230803] FX This research was supported by National Science Foundation [grant number 1230803]. CR Acosta LA, 2014, BIOMASS BIOENERG, V64, P20, DOI 10.1016/j.biombioe.2014.03.015 Adams PW, 2011, RENEW SUST ENERG REV, V15, P1217, DOI 10.1016/j.rser.2010.09.039 Augustenborg CA, 2012, GCB BIOENERGY, V4, P597, DOI 10.1111/j.1757-1707.2011.01151.x Balan V, 2013, BIOFUEL BIOPROD BIOR, V7, P732, DOI 10.1002/bbb.1436 Benjamin J, 2009, J FOREST, V107, P125 Berg BL, 1989, QUALITATIVE RES METH, P238 Blackstock KL, 2007, ECOL ECON, V60, P726, DOI 10.1016/j.ecolecon.2006.05.014 Bosch R, 2015, NATURE, V523, P526, DOI 10.1038/523526a Bostrom M, 2012, SUSTAIN SCI PRACT PO, V8, P3, DOI DOI 10.1080/15487733.2012.11908080 Buchholz T., 2012, Journal of Sustainable Forestry, V31, P154, DOI 10.1080/10549811.2011.566540 Buchholz T, 2009, J CLEAN PROD, V17, pS86, DOI 10.1016/j.jclepro.2009.04.015 BURTON I, 1987, ENVIRONMENT, V29, P25, DOI 10.1080/00139157.1987.9928891 Caspeta L, 2013, ENERG ENVIRON SCI, V6, P1077, DOI 10.1039/c3ee24403b CHAMBERS R, 1994, WORLD DEV, V22, P1253, DOI 10.1016/0305-750X(94)90003-5 Cruse RM, 2012, J SOIL WATER CONSERV, V67, P67, DOI [10.2489/jswc.67.2.67, 10.2489/jSWC.67.2.67] Dale VH, 2015, BIOFUEL BIOPROD BIOR, V9, P435, DOI 10.1002/bbb.1562 Dale VH, 2013, ECOL INDIC, V26, P87, DOI 10.1016/j.ecolind.2012.10.014 Efroymson RA, 2013, ENVIRON MANAGE, V51, P291, DOI 10.1007/s00267-012-9907-5 Elbehri A, 2013, BIOFUELS SUSTAINABIL Escobar A, 1997, POSTDEVELOPMENT READ, P85, DOI DOI 10.1093/MIND/102.405.1 Farrell AE, 2006, SCIENCE, V311, P506, DOI 10.1126/science.1121416 Florin MJ, 2014, ENVIRON SCI POLICY, V37, P142, DOI 10.1016/j.envsci.2013.09.012 Fraser EDG, 2006, J ENVIRON MANAGE, V78, P114, DOI 10.1016/j.jenvman.2005.04.009 Froese R, 2012, ENERGY CROP OPPORTUN [FSC] Forest Stewardship Council, 2010, FSC CERT FSC PRINC C GBEP, 2011, GLOB BIOEN PARTN SUS Gibson R.B., 2006, IMPACT ASSESS PROJ A, V24, P170, DOI DOI 10.3152/147154606781765147 Grimble R, 1997, AGR SYST, V55, P173, DOI 10.1016/S0308-521X(97)00006-1 Handler RM, 2014, J CLEAN PROD, V76, P64, DOI 10.1016/j.jclepro.2014.04.040 Hayes A, 1999, 7 BIOFOREST TECHN IN Hill J, 2007, AGRON SUSTAIN DEV, V27, P1, DOI 10.1051/agro:2007006 [IDB] Inter-American Development Bank, 2009, IDB BIOF SUST SCOR IEA, 2015, BIOENERGY Jenkins TL, 2014, FOREST POLICY ECON, V38, P32, DOI 10.1016/j.forpol.2013.08.004 Kurka T, 2013, RENEW SUST ENERG REV, V24, P92, DOI 10.1016/j.rser.2013.03.062 La Rovere EL, 2011, WORLD DEV, V39, P1026, DOI 10.1016/j.worlddev.2010.01.004 Lattimore B, 2009, BIOMASS BIOENERG, V33, P1321, DOI 10.1016/j.biombioe.2009.06.005 Lewandowski I, 2006, BIOMASS BIOENERG, V30, P83, DOI 10.1016/j.biombioe.2005.11.003 Lind-Riehl J, 2015, LAND USE POLICY, V45, P95, DOI 10.1016/j.landusepol.2015.01.005 Lindner M, 2010, ECOL MODEL, V221, P2197, DOI 10.1016/j.ecolmodel.2009.08.006 Liu JG, 2015, SCIENCE, V347, DOI 10.1126/science.1258832 Markevicius A, 2010, RENEW SUST ENERG REV, V14, P3226, DOI 10.1016/j.rser.2010.07.015 Mayer A. L., 2013, INT J FOREST RES, P13 McBride AC, 2011, ECOL INDIC, V11, P1277, DOI 10.1016/j.ecolind.2011.01.010 McCormick K, 2011, INT HANDB INFORM SYS, P545, DOI 10.1007/978-3-642-19257-9_22 [MDNR] Michigan Department of Natural Resources, 2014, FOR RES DIV ACC REP Miller CA, 2007, CONSEQUENCES CORPORA Morse S, 2001, SUSTAIN DEV, V9, P1, DOI 10.1002/sd.148.abs Morse S, 2015, SUSTAIN DEV, V23, P84, DOI 10.1002/sd.1575 Perlack R. D., 2005, BIOMASS FEEDSTOCK BI Pope J, 2004, ENVIRON IMPACT ASSES, V24, P595, DOI 10.1016/j.eiar.2004.03.001 Puy N, 2008, RENEW SUST ENERG REV, V12, P1451, DOI 10.1016/j.rser.2007.01.017 Reed MS, 2009, J ENVIRON MANAGE, V90, P1933, DOI 10.1016/j.jenvman.2009.01.001 Reed MS, 2002, GEOGR J, V168, P224, DOI 10.1111/1475-4959.00050 RSB, 2011, RSB PRINC CRIT SUST RSPO, 2013, PRINC CRIT PROD SUST RTRS, 2013, RTRS STAND RESP SOY Scarlat N, 2011, ENERG POLICY, V39, P1630, DOI 10.1016/j.enpol.2010.12.039 Schnepf R, 2013, R40155 C RES SERV LI Schouten G, 2012, ECOL ECON, V83, P42, DOI 10.1016/j.ecolecon.2012.08.007 Schubert J.R., 2012, OPEN J FOR, V2, P147 Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 SEKAB, 2012, SUST DECL 2012 2013 Sikkema R, 2014, FORESTS, V5, P2163, DOI 10.3390/f5092163 Stupak I, 2007, BIOMASS BIOENERG, V31, P666, DOI 10.1016/j.biombioe.2007.06.012 Thiffault E, 2015, BIOFUEL BIOPROD BIOR, V9, P283, DOI 10.1002/bbb.1547 UNCED, 1992, EARTH SUMM AG 21 Upreti BR, 2004, ENERG POLICY, V32, P785, DOI 10.1016/S0301-4215(02)00342-7 Vaidya A, 2014, INT J SUST DEV WORLD, V21, P369, DOI 10.1080/13504509.2013.868376 Vera I, 2007, ENERGY, V32, P875, DOI 10.1016/j.energy.2006.08.006 Wang JJ, 2009, RENEW SUST ENERG REV, V13, P2263, DOI 10.1016/j.rser.2009.06.021 Williams PRD, 2009, ENVIRON SCI TECHNOL, V43, P4763, DOI 10.1021/es900250d Withers J, 2015, BIORESOURCES, V10, P3874 NR 73 TC 3 Z9 3 U1 4 U2 15 PU TAYLOR & FRANCIS INC PI PHILADELPHIA PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA SN 1350-4509 EI 1745-2627 J9 INT J SUST DEV WORLD JI Int. J. Sustain. Dev. World Ecol. PY 2016 VL 23 IS 6 BP 526 EP 540 DI 10.1080/13504509.2015.1135830 PG 15 WC Green & Sustainable Science & Technology; Ecology SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DX6CV UT WOS:000384471500007 DA 2019-04-09 ER PT J AU Garza-Reyes, JA Villarreal, B Kumar, V Ruiz, PM AF Garza-Reyes, Jose Arturo Villarreal, Bernardo Kumar, Vikas Ruiz, Patricia Molina TI Lean and green in the transport and logistics sector - a case study of simultaneous deployment SO PRODUCTION PLANNING & CONTROL LA English DT Article DE Efficiency; environmental performance; environmental sustainability; green; lean; road transportation; waste elimination ID SUPPLY CHAIN MANAGEMENT; POLLUTION-ROUTING PROBLEM; MODEL; PERFORMANCE; IMPROVEMENT; SIMULATION; OPERATIONS; IMPLEMENTATION; BENCHMARKING; REDUCTION AB The transport and logistics sector is of vital importance for the stimulation of trade and hence the economic development of nations. However, over the last few years, this sector has taken central stage in the green agenda due to the negative environmental effects derived from its operations. Several disciplines including operations research and sub-areas of supply chain management such as green supply chains, green logistics and reverse logistics have tried to address this problem. However, despite the work undertaken through these disciplines, theoretical or empirical research into the sequential or simultaneous deployment of the lean and green paradigms, particularly, in the road transport and logistics sector is limited. This paper presents a case study where both paradigms have been combined to improve the transport operations of a world leader logistics organisation in the metropolitan area of Monterrey, Mexico. To do this, a systematic methodology and a novel tool called Sustainable Transportation Value Stream Map (STVSM) were proposed. The results obtained from the case study indicate that the concurrent deployment of the green and lean paradigms through such methodology and the STVSM tool is an effective approach to improve both operational efficiency and environmental performance of road transport operations. The paper can be used as a guiding reference for transport and logistics organisations to undertake improvement projects similar to the one presented in this paper. Additionally, this research also intends to stimulate scholarly research into the application of lean and green paradigms in the transport and logistics sector to expand the limited research pursued in this area. C1 [Garza-Reyes, Jose Arturo] Univ Derby, Derby Business Sch, Kedleston Rd Campus, Derby, England. [Villarreal, Bernardo; Ruiz, Patricia Molina] Univ Monterrey, Dept Ingn, San Pedro Garza Garcia, Mexico. [Kumar, Vikas] Univ W England, Bristol Business Sch, Bristol, Avon, England. RP Garza-Reyes, JA (reprint author), Univ Derby, Derby Business Sch, Kedleston Rd Campus, Derby, England. EM J.Reyes@derby.ac.uk RI Kumar, Prof Vikas/E-3272-2018; Kumar, Vikas/S-3860-2018 OI Kumar, Prof Vikas/0000-0002-8062-7123; Kumar, Vikas/0000-0002-8062-7123 CR Abdulmalek FA, 2007, INT J PROD ECON, V107, P223, DOI 10.1016/j.ijpe.2006.09.009 Abrell J, 2010, TRANSPORT RES D-TR E, V15, P235, DOI 10.1016/j.trd.2010.02.002 Aguado S, 2013, J CLEAN PROD, V47, P141, DOI 10.1016/j.jclepro.2012.11.048 Aguilar-Gomez J. A., 2009, P 18 INT EM INV C BA Arturo J, 2014, J MANUF TECHNOL MANA, V25, P27, DOI 10.1108/JMTM-05-2012-0058 Azevedo SG, 2012, IEEE T ENG MANAGE, V59, P753, DOI 10.1109/TEM.2012.2189108 Ballot E, 2010, PROD PLAN CONTROL, V21, P640, DOI 10.1080/09537287.2010.489276 Bamber C. J., 2003, Journal of Quality in Maintenance Engineering, V9, P223, DOI 10.1108/13552510310493684 Banuelas R., 2002, MEASURING BUSINESS E, V6, P20, DOI DOI 10.1108/13683040210451679 Barth M, 2008, TRANSPORT RES REC, P163, DOI 10.3141/2058-20 Bektas T, 2011, TRANSPORT RES B-METH, V45, P1232, DOI 10.1016/j.trb.2011.02.004 Besseris GJ, 2014, J CLEAN PROD, V85, P293, DOI 10.1016/j.jclepro.2014.05.074 Birkie SE, 2016, PROD PLAN CONTROL, V27, P345, DOI 10.1080/09537287.2015.1127446 Cabral I, 2012, INT J PROD RES, V50, P4830, DOI 10.1080/00207543.2012.657970 Cameron S., 2009, BUSINESS RES METHODS Chauhan G, 2012, MEAS BUS EXCELL, V16, P57, DOI 10.1108/13683041211257411 Chow S. E. S., 2015, INT J SUPPLY CHAIN O, V1, P219 Cluzel F, 2010, COMPLEX SYSTEMS DESIGN AND MANAGEMENT, P279, DOI 10.1007/978-3-642-15654-0_20 Comm C. L., 2000, BENCHMARKING INT J, V7, P118, DOI 10.1108/14635770010298584 Dal B, 2000, INT J OPER PROD MAN, V20, P1488, DOI 10.1108/01443570010355750 DATTAKUMAR R, 2003, BENCHMARKING INT J, V10, P176, DOI DOI 10.1108/14635770310477744 Davidsson P, 2005, TRANSPORT RES C-EMER, V13, P255, DOI 10.1016/j.trc.2005.07.002 Neto GCD, 2016, PROD PLAN CONTROL, V27, P148, DOI 10.1080/09537287.2015.1089605 Dekker R, 2012, EUR J OPER RES, V219, P671, DOI 10.1016/j.ejor.2011.11.010 Demir E, 2012, EUR J OPER RES, V223, P346, DOI 10.1016/j.ejor.2012.06.044 Deng WJ, 2008, SERV IND J, V28, P37, DOI 10.1080/02642060701725412 Dernir E, 2014, EUR J OPER RES, V237, P775, DOI 10.1016/j.ejor.2013.12.033 DHL (Deutsche Post DHL Group), 2015, GOGREEN PROGR Diaz-Elsayed N, 2013, CIRP ANN-MANUF TECHN, V62, P475, DOI 10.1016/j.cirp.2013.03.066 Dobers K., 2013, EFFICIENCY LOGISTICS, P149 Duarte S., 2013, INT J LEAN 6 SIGMA, V4, P228 Duarte S., 2013, P 6 INT C MAN SCI EN, V185, P751 Dues CM, 2013, J CLEAN PROD, V40, P93, DOI 10.1016/j.jclepro.2011.12.023 EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557 EPA (United States Environmental Protection Agency), 2015, MOBILE6 VEH EM MOD S Esmer S, 2010, ASIAN J SHIPPING LOG, V26, P277 FedEx, 2015, ENV SUST Forrester PL, 2010, J MANUF TECHNOL MANA, V21, P853, DOI 10.1108/17410381011077955 Fugate BS, 2009, INT J LOGIST MANAG, V20, P425, DOI 10.1108/09574090911002850 Garza-Reyes Jose Arturo, 2012, International Journal of Business Excellence, V5, P395, DOI 10.1504/IJBEX.2012.047906 Garza-Reyes JA, 2010, INT J QUAL RELIAB MA, V27, P48, DOI 10.1108/02656711011009308 Garza-Reyes JA, 2015, INT J LEAN SIX SIG, V6, P226, DOI 10.1108/IJLSS-04-2014-0010 Garza-Reyes JA, 2014, IFIP ADV INF COMM TE, V439, P71 Garza-Reyes JA, 2015, J CLEAN PROD, V102, P18, DOI 10.1016/j.jclepro.2015.04.064 Green J, 2013, AIR QUALITY LATIN AM Guan T. S., 2003, 8 INT S LOG SEV SPAI Hajmohammad S, 2013, J CLEAN PROD, V56, P86, DOI 10.1016/j.jclepro.2013.06.038 Hajmohammad S, 2013, J CLEAN PROD, V39, P312, DOI 10.1016/j.jclepro.2012.07.028 Hines P, 2004, INT J OPER PROD MAN, V24, P994, DOI 10.1108/01443570410558049 Hines P., 2000, GOING LEAN Huang YC, 2012, PROD PLAN CONTROL, V23, P851, DOI 10.1080/09537287.2011.642189 Instituto Nacional de Ecologia [National Institute of Ecology], 2009, GUIA MET EST EM VEH ISSRC, 2015, INT VEH EFF MOD Johansson G, 2014, J CLEAN PROD, V85, P104, DOI 10.1016/j.jclepro.2014.04.005 Kainuma Y, 2006, INT J PROD ECON, V101, P99, DOI 10.1016/j.ijpe.2005.05.010 Krzyzanowski M., 2005, HLTH EFFECTS TRANSPO Lee VH, 2015, PROD PLAN CONTROL, V26, P116, DOI 10.1080/09537287.2013.859324 Lin CH, 2014, EXPERT SYST APPL, V41, P1118, DOI 10.1016/j.eswa.2013.07.107 Mason Robert, 2008, Progress in Industrial Ecology, V5, P302, DOI 10.1504/PIE.2008.021921 Mishra N, 2012, INT J PROD RES, V50, P2396, DOI 10.1080/00207543.2011.581003 Mohanty RP, 2014, PROD PLAN CONTROL, V25, P1322, DOI 10.1080/09537287.2013.832822 Molina P., 2014, P 2014 INT C IND ENG Mollenkopf D, 2010, INT J PHYS DISTR LOG, V40, P14, DOI 10.1108/09600031011018028 Moreira F, 2010, IFIP ADV INF COMM TE, V322, P100 Norton A., 2007, THESIS Numbeo, 2016, POLL IND Pampanelli AB, 2014, J CLEAN PROD, V85, P19, DOI 10.1016/j.jclepro.2013.06.014 Parveen C. M., 2011, INT C GREEN TECHN EN, P143 Pyzdek T., 2003, 6 SIGMA HDB COMPLETE Richardson BC, 2001, TRANSPORT RES REC, P57 Rother M., 2003, LEARNING SEE VALUE S Saboo A., 2014, INT J LEAN ENTERP RE, V1, P41 Salimifard K., 2012, INT C TRAFF TRANSP E Sarkis J, 2003, J CLEAN PROD, V11, P397, DOI 10.1016/S0959-6526(02)00062-8 Schrank D, 2007, 2007 URBAN MOBILITY Lasa I, 2009, PROD PLAN CONTROL, V20, P82, DOI 10.1080/09537280802685322 Seth D, 2005, PROD PLAN CONTROL, V16, P44, DOI 10.1080/09537280512331325281 Simons D., 2004, INT J LOGIST-RES APP, V7, P119, DOI DOI 10.1080/13675560410001670233 Simpson DE, 2005, SUPPLY CHAIN MANAG, V10, P60, DOI [10.1108/13598540510578388, 10.1108/13598240510578388] Spielmann M, 2005, INT J LIFE CYCLE ASS, V10, P85, DOI 10.1065/lca.10.181.10 Springer U, 2004, ENERG POLICY, V32, P611, DOI 10.1016/S0301-4215(02)00313-0 Sternberg H, 2012, INT J PRODUCT PERFOR, V62, P47, DOI 10.1108/17410401311285291 Subsecretaria de Transporte, 2013, EST BAS AUT FED 2013 Sutherland J. L., 2007, 701 LEH U CTR VAL CH Taylor L., 2006, LEAN TRANSPORTATION Touati N., 2012, TECHNICAL REPORT Ubeda S, 2011, INT J PROD ECON, V131, P44, DOI 10.1016/j.ijpe.2010.04.041 UPS, 2015, SUSTAINABILITY UPS Logistics Group, 2004, UPS LOG SYST PRES US Department of Transportation, 2011, FREIGHT FACTS FIG 20 Venkat K., 2006, P 50 ANN M ANN M INT Verrier B, 2014, J CLEAN PROD, V85, P83, DOI 10.1016/j.jclepro.2013.12.023 Villarreal B., PRODUCTION PLANNING Villarreal B., 2013, IND SYSTEMS ENG REV, V1, P153 Villarreal B., INT J LOGISTICS RES Villarreal B., 2012, P 2012 INT C IND OP Villarreal B, 2016, IND MANAGE DATA SYST, V116, P903, DOI 10.1108/IMDS-09-2015-0385 Villarreal B, 2012, EUR J IND ENG, V6, P216, DOI 10.1504/EJIE.2012.045606 Wahab ANA, 2013, PROC TECH, V11, P1292, DOI 10.1016/j.protcy.2013.12.327 Womack J., 2003, LEAN THINKING BANISH Zander S., J CLEANER PRODUCTION, V110, P109 Zhu QH, 2008, INT J PROD ECON, V111, P261, DOI 10.1016/j.ijpe.2006.11.029 NR 102 TC 19 Z9 19 U1 8 U2 57 PU TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND SN 0953-7287 EI 1366-5871 J9 PROD PLAN CONTROL JI Prod. Plan. Control PY 2016 VL 27 IS 15 BP 1221 EP 1232 DI 10.1080/09537287.2016.1197436 PG 12 WC Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science SC Engineering; Operations Research & Management Science GA DX6CB UT WOS:000384469100001 DA 2019-04-09 ER PT J AU Pradhan, BK AF Pradhan, Bharat Kumar TI Caterpillar Mushroom, Ophiocordyceps sinensis (Ascomycetes): A Potential Bioresource for Commercialization in Sikkim Himalaya, India SO INTERNATIONAL JOURNAL OF MEDICINAL MUSHROOMS LA English DT Article DE bioresource; commercialization; medicinal mushrooms and fungi; Ophiocordyceps sinensis; Sikkim Himalaya; traditional medicine; Yartsa Gunbu ID CORDYCEPS-SINENSIS; FUNGUS; CONSERVATION; HARVEST; TRADE AB Ophiocordyceps sinensis has a long history of use in Tibetan traditional medicine and traditional Chinese medicine as a powerful tonic and aphrodisiac. The species is inextricably linked to the trade of medicinal and aromatic plants in East Asia. Its demand has increased substantially in the international market, and its collection and trade have significantly improved the socioeconomic status of the people in some regions. Nonetheless, in Sikkim this resource is still untapped formally, but it is traded illegally. Formal legalization and the community's involvement will ensure the conservation and sustainability of the species, as well as proper management of harvesting areas and monitoring of pressure on Yartsa Gunbu to exploit it. C1 [Pradhan, Bharat Kumar] Govt Sikkim, Forests Environm & Wildlife Management Dept, Sikkim Biodivers Board, Forest Secretariat, Deorali, Sikkim, India. RP Pradhan, BK (reprint author), Govt Sikkim, Forests Environm & Wildlife Management Dept, Sikkim Biodivers Board, Forest Secretariat, Deorali, Sikkim, India. EM bharatprdhn@gmail.com CR Adhikari MK, 2000, MUSHROOMS OF NEPAL Andersen SB, 2009, AM NAT, V174, P424, DOI 10.1086/603640 [Anonymous], 2013, BHUTAN SOC NEWSLETT, V51, P6 Bhandari AK, 2012, CURR SCI INDIA, V103, P876 Cannon PF, 2009, BIODIVERS CONSERV, V18, P2263, DOI 10.1007/s10531-009-9587-5 Chang ST, 2012, INT J MED MUSHROOMS, V14, P95, DOI 10.1615/IntJMedMushr.v14.i2.10 CHILDS G., 2014, HIMALAYA, V34, P8 Garbyal S S, 2004, INDIAN J TRADIT KNOW, V3, P182 Halpren GM, 2007, HEALING MUSHROOMS Halpren GM, 1999, CORDYCEPS CHINAS HEA Holliday J, 2008, INT J MED MUSHROOMS, V10, P219, DOI 10.1615/IntJMedMushr.v10.i3.30 Kuniyal CP, 2013, ECOSYST SERV, V3, pE40, DOI 10.1016/j.ecoser.2012.12.004 Lama YC, 2001, MED PLANTS DOLPA AMC Mizuno T., 1999, INT J MED MUSHROOMS, V1, P252 Negi CS, 2006, INT J SUST DEV WORLD, V13, P165, DOI 10.1080/13504500609469669 Panda Ashok Kumar, 2011, J Ayurveda Integr Med, V2, P9, DOI 10.4103/0975-9476.78183 Pegler D. N., 1994, Mycologist, V8, P3 Rana VS, 2004, INDIAN J NAT PROD RE, V3, P167 RAOnline, 2000, YARTS GOENB AUCT Sharma S, 2004, CURR SCI INDIA, V86, P1614 Shrestha UB, 2015, REG ENVIRON CHANGE, V15, P1731, DOI 10.1007/s10113-014-0732-7 Shrestha UB, 2014, BIOL CONSERV, V177, P194, DOI 10.1016/j.biocon.2014.06.019 Shrestha UB, 2013, BIOL CONSERV, V159, P514, DOI 10.1016/j.biocon.2012.10.032 Singh N, 2010, J AM SCI, V6, P5 Steinkraus D. C., 1994, American Entomologist, V40, P235 VINNING G, 2004, CORDYCEPS MARKET ANA Wangchuk K, 2015, PASTORALISM, V5, DOI [10.1186/s13570-015-0025-x, DOI 10.1186/S13570-015-0025-X] Wangchuk S., 2004, CORDYCEPS HARVESTING Wangchuk S, 2012, IMPACTS CORDYCEPS CO Wasser Solomon P, 2014, Biomed J, V37, P345, DOI 10.4103/2319-4170.138318 Wasser SP, 2010, INT J MED MUSHROOMS, V12, P1, DOI 10.1615/IntJMedMushr.v12.i1.10 Winkler D., 2005, INT J MED MUSHROOMS, V7, P481 Winkler D, 2013, P 7 INT MED MUSHR C, P635 Winkler D., 2008, J INT ASS TIBETAN ST, V4, P1 Winkler D, 2010, FIELD MYCOL, V11, P60, DOI DOI 10.1016/J.FLDMYC.2010.04.009 Winkler D., 2007, 4 INT MED MUSHR C SE Winkler D., 2009, ASIAN MED, V5, P291, DOI DOI 10.1163/157342109X568829 Winkler D, 2008, ECON BOT, V62, P291, DOI 10.1007/s12231-008-9038-3 Zhang YongJie, 2012, Mycology - An International Journal on Fungal Biology, V3, P2 Zhu JS, 1998, J ALTERN COMPLEM MED, V4, P289, DOI 10.1089/acm.1998.4.3-289 NR 40 TC 1 Z9 1 U1 2 U2 5 PU BEGELL HOUSE INC PI DANBURY PA 50 NORTH ST, DANBURY, CT 06810 USA SN 1521-9437 EI 1940-4344 J9 INT J MED MUSHROOMS JI Int. J. Med. Mushrooms PY 2016 VL 18 IS 4 BP 337 EP 346 DI 10.1615/IntJMedMushrooms.v18.i4.70 PG 10 WC Biochemistry & Molecular Biology; Plant Sciences; Mycology; Pharmacology & Pharmacy SC Biochemistry & Molecular Biology; Plant Sciences; Mycology; Pharmacology & Pharmacy GA DW9AN UT WOS:000383947000007 PM 27481300 DA 2019-04-09 ER PT J AU Makkar, HPS AF Makkar, Harinder P. S. TI Animal nutrition in a 360-degree view and a framework for future R&D work: towards sustainable livestock production SO ANIMAL PRODUCTION SCIENCE LA English DT Article DE feed and feeding; holistic animal nutrition; R&D framework; sustainable livestock production ID SPECIAL TOPICS-MITIGATION; ESCHERICHIA-COLI O157-H7; NITROUS-OXIDE EMISSIONS; MANURE-AMENDED SOIL; DIETARY SUPPLEMENTATION; SALMONELLA-ENTERICA; METHANE MITIGATION; LINOLEIC-ACID; RUMINANTS; PROTEIN AB As a result of a growing population, national economies and urbanisation the consumption of animal products has risen sharply and will also rise substantially in the future, leading to a huge demand for animal feed. This paper illustrates that feed impacts almost all sectors and services of the livestock sector and its sustainability hinges on how feed is produced and fed. A 360-degree view of animal nutrition is presented, illustrating linkages between animal nutrition and various other domains of the livestock sector, for example productivity, reproductive efficiency, environment including biodiversity, land degradation and land-use change, animal welfare and health, food-fuel-feed competition, product safety and quality, among others. Based on the 360-degree view a framework for future research and development work in animal nutrition is presented. This framework has three components: the first one seeks better knowledge and in-depth analysis of the impact of feed and feeding on various domains of the livestock production system; the second one focuses on the impact of ongoing changes such as climate change, increases in cost of and volatility in feed prices, decreases in water and arable land availability, global trade of feedingstuffs, and high food losses; and the third one deals with providing solutions to challenges through technology, policy and institutional development measures. A multi- and trans-disciplinary approach is suggested for implementation of the framework. Application of the framework would contribute towards producing adequate, safe and nutritious food in a humane way in the face of rapid population growth; reducing impact on the environment and biodiversity; and promoting social equity. C1 [Makkar, Harinder P. S.] UN, Food & Agr Org, Livestock Prod Syst Branch, Anim Prod & Hlth Div, I-00153 Rome, Italy. RP Makkar, HPS (reprint author), UN, Food & Agr Org, Livestock Prod Syst Branch, Anim Prod & Hlth Div, I-00153 Rome, Italy. EM harinder.makkar@fao.org CR Applegate TJ, 2014, J APPL POULTRY RES, V23, P567, DOI 10.3382/japr.2014-00980 Bauman DE, 2006, J DAIRY SCI, V89, P1235, DOI 10.3168/jds.S0022-0302(06)72192-0 Bell AW, 2013, OPTIMIZATION FEED US, V16 Bellemare MF, 2015, AM J AGR ECON, V97, P1, DOI 10.1093/ajae/aau038 Belury MA, 2002, ANNU REV NUTR, V22, P505, DOI 10.1146/annurev.nutr.22.021302.121842 Bergen WG, 2007, J NUTR, V137, P706 Berthon BS, 2015, NUTRIENTS, V7, P1618, DOI 10.3390/nu7031618 Boussingault JB, 1839, ANN CHIM PHYS, V71, P113 Bradford E, 1999, 135 COUNC AGR SCI TE Butler G, 2014, P NUTR SOC, V73, P87, DOI 10.1017/S0029665113003790 Butterwick RF, 2015, BRIT J NUTR, V113, pS23, DOI 10.1017/S0007114514003900 Celi P, 2014, OXIDATIVE STRESS RUM Drouillard J.S., 2004, P 60 FLAX I FARG ND, P108 FAO, 2012, 1 FAO FAO, 2010, 104 FAO, V104 FAO, 2011, WORLD LIV 2011 LIV F FAO, 2011, ABDC10 FAO FAO, 2014, 7 FAO FAO, 2013, QUAL ASS MICR FEED A, V16 FAO, 2013, FOOD OUTL FAO, 2012, 173 FAO FAO, 2009, FEED WORLD 2050 FAO, 2010, CROP BIOD US IT LOS FAO/IAEA, 2002, 1294 FAOIAEA TECDOC Farmer C, 2009, J ANIM SCI, V87, P2600, DOI 10.2527/jas.2008-1588 Foidle N., 2001, MIRACLE TREE MULTIPL, P45 Food and Agriculture Organization (FAO), 2009, STAT FOOD AGR LIV BA Franz E, 2005, APPL ENVIRON MICROB, V71, P6165, DOI 10.1128/AEM.71.10.6165-6174.2005 Franz E, 2008, CRIT REV MICROBIOL, V34, P143, DOI [10.1080/10408410802357432, 10.1080/10408410802357432 ] Franz E, 2008, ENVIRON MICROBIOL, V10, P313, DOI 10.1111/j.1462-2920.2007.01453.x Garg MR, 2018, ANIM PROD SCI, V58, P1027, DOI 10.1071/AN15586 Garg MR, 2013, ANIM FEED SCI TECH, V179, P24, DOI 10.1016/j.anifeedsci.2012.11.005 Gerber P, 2013, TACKLING CLIMATE CHA Gilbert RA, 2005, J APPL MICROBIOL, V99, P885, DOI 10.1111/j.1365-2672.2005.02670.x Gill M, 2013, FAO ANIMAL PRODUCTIO, V16 Goel G, 2012, TROP ANIM HEALTH PRO, V44, P729, DOI 10.1007/s11250-011-9966-2 Hristov AN, 2013, J ANIM SCI, V91, P5045, DOI 10.2527/jas.2013-6583 IP C, 1991, CANCER RES, V51, P6118 Jacob ME, 2008, J ANIM SCI, V86, P1182, DOI 10.2527/jas.2007-0091 Jankowski J, 2014, ANN ANIM SCI, V14, P17, DOI 10.2478/aoas-2013-0081 Johnson DE, 2007, J NUTR, V137, P698 Kang YH, 2009, PROG NAT SCI-MATER, V19, P1665, DOI 10.1016/j.pnsc.2009.08.001 Keen J.E., 1999, 80 C RES WORK AN DIS Kitessa S, 2010, ANIM PROD SCI, V50, P130, DOI 10.1071/AN09095 Kore KB, 2008, VET WORLD, V9, P285 Kovalsky P, 2014, CLIMATE CHANGE MYCOT Lagi M., 2011, FOOD CRISES POLITICA Leonard SG, 2010, J ANIM SCI, V88, P2988, DOI 10.2527/jas.2009-2764 Magendie M, 1816, ANN CHIM PHYS, V3, P66 Makkar HPS, 2014, ANIM FEED SCI TECH, V198, P309, DOI 10.1016/j.anifeedsci.2014.09.018 Makkar HPS, 2014, ANIM FEED SCI TECH, V197, P1, DOI 10.1016/j.anifeedsci.2014.07.008 Makkar HPS, 2014, ANIM PROD SCI, V54, P1569, DOI 10.1071/AN14377 Makkar HPS, 2013, FAO ANIMAL PRODUCTIO Makkar HPS, 2012, BIOF COPR LIV FEED O Makkar HPS, 2016, ANIMAL FEED IN PRESS Mateo RD, 2009, J ANIM SCI, V87, P948, DOI 10.2527/jas.2008-0964 Mekonnen MM, 2012, ECOSYSTEMS, V15, P401, DOI 10.1007/s10021-011-9517-8 Milchunas DG, 2005, AGR ECOSYST ENVIRON, V111, P166, DOI 10.1016/j.agee.2005.06.014 Montes F, 2013, J ANIM SCI, V91, P5070, DOI 10.2527/jas.2013-6584 Mossa F., 2015, Animal Frontiers, V5, P18, DOI 10.2527/af.2015-0004 Nellemann C, 2009, ENV FOOD CRISIS ENV Opio C., 2013, GREENHOUSE GAS EMISS Ripple WJ, 2014, NAT CLIM CHANGE, V4, P2 Ruane J, 2013, BIOT WORK SMALLH CAS Ruane J, 2011, J BIOTECHNOL, V156, P356, DOI [10.1016/j.jbiotec.2011.06.013, 10.1016/j.jbiotec.2011.06.013 ] Saker KE, 2006, VET CLIN N AM-SMALL, V36, P1199, DOI 10.1016/j.cvsm.2006.09.0013 Scaglia G, 2014, J ANIM SCI, V92, P5704, DOI [10.2527/jas2014-7838, 10.2527/jas.2014-7838] Vasta V, 2011, INT S NUTR HERB AB W Vazirigohar M, 2014, ANIMAL, V8, P163, DOI 10.1017/S175173111300181X Zdunczyk Z, 2009, J ANIM FEED SCI, V18, P3 Zehetmeier M, 2014, AGR SYST, V129, P55, DOI 10.1016/j.agsy.2014.05.006 Zhang XW, 2008, BIOTECHNOL ADV, V26, P169, DOI 10.1016/j.biotechadv.2007.11.002 NR 72 TC 5 Z9 5 U1 4 U2 17 PU CSIRO PUBLISHING PI CLAYTON PA UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC 3168, AUSTRALIA SN 1836-0939 EI 1836-5787 J9 ANIM PROD SCI JI Anim. Prod. Sci. PY 2016 VL 56 IS 10 BP 1561 EP 1568 DI 10.1071/AN15265 PG 8 WC Agriculture, Dairy & Animal Science SC Agriculture GA DV9NQ UT WOS:000383267900001 OA Bronze DA 2019-04-09 ER PT J AU Mejia-Dugand, S AF Mejia-Dugand, Santiago TI The Evolution of Sweden's Urban Sustainability Marketing Tool: A Comparative Study of Two Major International Events SO JOURNAL OF URBAN TECHNOLOGY LA English DT Article DE Sweden; Hammarby Sjostad; urban technologies; export model; urban sustainability; urban imaginaries ID HAMMARBY SJOSTAD; TECHNOLOGY; STOCKHOLM; CITY AB In this article, some of the obstacles for translating urban imaginaries and urban sustainability concepts based on technological interventions are analyzed. This analysis is built on experiences from the World Urban Forum 7 in Medellin, Colombia held in April 2014 and uses previous attempts to explore the production of imaginaries at play in the performance of SymbioCity, an urban development concept with a symbiosis tint created by the Swedish Trade Council. Through documenting the role of physical and non-physical messages from the Swedish delegation and its exhibition, along with numerous interviews with key actors at the conference and from the city's administration, an analysis of the current strategies used to promote the tool is provided. The claim that induced idealized urban futures sap energy and result in poor achievement of the goals is used to suggest that context and current conditions influence the ability to understand and adopt technological solutions. The conclusions are centered on the fact that SymbioCity, for the most part, is trying to sell products or services that are difficult to see and understand from the perspective of cities-customers, since most of these consist of invisible (i.e., energy), or hidden loops (i.e., waste and water). It is argued that there are contextual and historical conditions that are crucial for the decision to implement them that are, at least implicitly, expressed by the targeted cities-customers, and that the SymbioCity concept, or at least the way it is communicated in these fora, has undergone a change, in the sense that it has become more flexible and allowed for bottom-up considerations to enter the discourse. C1 [Mejia-Dugand, Santiago] Linkoping Univ, Div Environm Technol & Management, S-58183 Linkoping, Sweden. RP Mejia-Dugand, S (reprint author), Linkoping Univ, Dept Management & Engn Environm Technol & Managem, S-58183 Linkoping, Sweden. EM santiago.mejia.dugand@liu.se OI Mejia-Dugand, Santiago/0000-0002-5858-3267 FU AForsk; Swedish Governmental Agency for Innovation Systems (Vinnova) FX The author would like to thank AForsk and the Swedish Governmental Agency for Innovation Systems (Vinnova) for their financial support, and Em. Professor Leo Baas, Johannes Matschewsky, and Wisdom Kanda for their valuable contributions. Also, a big thank you to the anonymous reviewers, Marie Andersson de Frutos and Thomas Andersson from the Swedish Embassy in Colombia, and Christer Ojdemark from Envac AB. CR Botero Garcia J. A., 2005, LETRAS JURIDICAS, V10, P77 Bulu M, 2014, TECHNOL FORECAST SOC, V89, P63, DOI 10.1016/j.techfore.2013.12.009 DiGaetano A, 2003, URBAN AFF REV, V38, P356, DOI 10.1177/1078087402238806 Eriksson A., 2013, THESIS Hansson SO, 2010, TECHNOL SOC, V32, P274 Hult A, 2013, J URBAN TECHNOL, V20, P77, DOI 10.1080/10630732.2012.735405 Institutet for Tillvaxtpolitiska Studier (ITPS), 2008, SVENSK MILJ Iveroth S., 2014, THESIS Iveroth SP, 2013, ENERG POLICY, V59, P716, DOI 10.1016/j.enpol.2013.04.027 Iveroth SP, 2013, J CLEAN PROD, V48, P220, DOI 10.1016/j.jclepro.2012.09.012 Kairento K., 2014, THESIS Kanda W, 2015, J CLEAN PROD, V98, P222, DOI 10.1016/j.jclepro.2013.11.013 Kappes HB, 2011, J EXP SOC PSYCHOL, V47, P719, DOI 10.1016/j.jesp.2011.02.003 Lofthouse Gareth, 2004, MEGACITY CHALLENGES Mcfarlane C, 2010, INT J URBAN REGIONAL, V34, P725, DOI 10.1111/j.1468-2427.2010.00917.x Mejia-Dugand S., 2013, THESIS Mejia-Dugand S., 2013, DIFFUSION ENV TECHNO Mejia-Dugand S, 2013, J CLEAN PROD, V50, P82, DOI 10.1016/j.jclepro.2012.11.028 Oettingen G, 2002, J PERS SOC PSYCHOL, V83, P1198, DOI 10.1037//0022-3514.83.5.1198 Rogers EM, 2002, ADDICT BEHAV, V27, P989, DOI 10.1016/S0306-4603(02)00300-3 Stevens R. W., 1991, APPROPRIATE TECHNOLO Stottinger B., 1998, INT MARKET REV, V15, P357 Sveriges Miljoteknikrad (SWENTEC), 2010, SLUTB SVER MILJ The Swedish Government, 2011, STRAT UTV EXP MILJ 2 Wangel J., 2013, HALLBARHETENS VILLKO, P86 WWF, 2014, COM CLEAN GLOB CLEAN Yale University, 2014, ENV PERFORMANCE INDE NR 27 TC 1 Z9 1 U1 2 U2 5 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 1063-0732 EI 1466-1853 J9 J URBAN TECHNOL JI J. Urban Technol. PY 2016 VL 23 IS 2 BP 65 EP 80 DI 10.1080/10630732.2015.1102422 PG 16 WC Urban Studies SC Urban Studies GA DU8XH UT WOS:000382498800005 DA 2019-04-09 ER PT J AU Galati, A Siggia, D Crescimanno, M Martin-Alcalde, E Marchan, SS Morales-Fusco, P AF Galati, Antonino Siggia, Dario Crescimanno, Maria Martin-Alcalde, Enrique Sauri Marchan, Sergi Morales-Fusco, Pau TI Competitiveness of short sea shipping: the case of olive oil industry SO BRITISH FOOD JOURNAL LA English DT Article DE Italy; Spain; Olive oil; Cost model; Short sea shipping ID SPAIN; IMPLEMENTATION; MOTORWAYS; TRANSPORT AB Purpose - The purpose of this paper is to analyse the economic benefits of short sea shipping (SSS) in the shape of Motorways of the Sea (MoS) compared to road transport. The study cover a gap in agro-food economics and analyses the economic benefits of sea transport mode compared to road transport in the food trade between Spain and Italy for a specific product: olive oils. Design/methodology/approach - Three different transportation scenarios are considered (road only, road combined with accompanied SSS and road combined with unaccompanied SSS) linking the main olive oil production and consumption areas in Spain and Italy. In each scenario the cost per unit shipped have been calculated. Findings - The results show the road option is about 30 and 34 per cent more costly than the best SSS option available for the exportations from Jaen and Southern Catalonia, respectively. Research limitations/implications - The need of further research is identified, mainly focused in two directions: first, the need for inclusion of new variables to the model (e.g. value of time, seasonality, complexity of the transport chain, potential demand, etc.) to better assess the competitiveness of the sea connection and, second, a study of the environmental impact and socio-economic benefits of SSS implementation for the agri-food sector. Originality/value - The research enriches the current literature on this field and provides a basis for future studies. In particular, it corroborates the strategic decisions taken in the framework of European transport policy demonstrating a greater economic sustainability of SSS, and more specifically MoS, compared to the road transport. C1 [Galati, Antonino; Siggia, Dario; Crescimanno, Maria] Univ Palermo, Dept Agr & Forest Sci, Palermo, Italy. [Siggia, Dario] European Parliament, Publ Hlth & Food Safety, Comm Environm, Brussels, Belgium. [Martin-Alcalde, Enrique; Sauri Marchan, Sergi; Morales-Fusco, Pau] Ctr Innovat Transport CENIT, Barcelona, Spain. [Sauri Marchan, Sergi] UPC BarcelonaTech, Dept Transportat, Barcelona, Spain. RP Galati, A (reprint author), Univ Palermo, Dept Agr & Forest Sci, Palermo, Italy. EM antonino.galati@unipa.it RI Galati, Antonino/H-5838-2012 OI GALATI, Antonino/0000-0003-0753-2934 CR Baindur D, 2011, MARIT POLICY MANAG, V38, P673, DOI 10.1080/03088839.2011.625990 Blonk W., 1993, EUROPEAN SHORT SEA S, P440 BMI, 2016, SPAIN AGR REP Brooks M, 2009, LIBERALIZATION MARIT Buhaug O, 2009, 2 IMO GHG STUDY 2009 Perez-Mesa JC, 2012, TRANSPORT POLICY, V24, P188, DOI 10.1016/j.tranpol.2012.08.010 CASACA ACP, 2007, MARIT ECON LOGIST, V9, P302 Commission of the European Communities, 2001, COM2001370 Commission of the European Communities, 1992, COM92494 Commission of the European Communities, 2001, COM99317 Crescimanno M, 2014, AGR ECON-CZECH, V60, P49 Crescimanno M, 2011, 4TH ANNUAL EUROMED CONFERENCE OF THE EUROMED ACADEMY OF BUSINESS: BUSINESS RESEARCH CHALLENGES IN A TURBULENT ERA, P471 DataComex, 2015, EST COM EXT Douet M, 2011, J TRANSP GEOGR, V19, P968, DOI 10.1016/j.jtrangeo.2011.03.001 Duarte R, 2015, WATER-SUI, V7, P132, DOI 10.3390/w7010132 European Commission, 2015, MEMB STAT FACTSH SPA European Union, 2004, OFFICIAL J EUROPEA L, VL/167 Eurostat, 2015, EUR STAT TRANSP FAO, 2016, FOOD AGR ORG UN Gazquez-Abad JC, 2009, AGRIBUSINESS, V25, P36, DOI 10.1002/agr.20183 Harald M. H., 2014, TRANSPORT REV TRANSN, V34, P379 Hjelle HM, 2011, MARIT POLICY MANAG, V38, P235, DOI 10.1080/03088839.2011.572697 Johnson H, 2014, J CLEAN PROD, V66, P317, DOI 10.1016/j.jclepro.2013.10.046 Kamp B., 2003, REGIONAL ACTION LOGI Kim NS, 2009, TRANSPORT PLAN TECHN, V32, P313, DOI 10.1080/03081060903119584 Lombardo G. A., 2004, SHORT SEA SHIPPING P MAGRAMA, 2014, AN EST 2013 Marlow P. B., 2002, MAR POLICY, V26, P167 Morales-Fusco P, 2012, J TRANSP GEOGR, V24, P1, DOI 10.1016/j.jtrangeo.2012.05.007 Parra-Lopez C, 2016, FOOD CONTROL, V62, P23, DOI 10.1016/j.foodcont.2015.09.038 Sanz C.J., 2005, J RURAL STUD, V21, P475, DOI DOI 10.1016/J.JRURSTUD.2005.10.001 Sauri S., 2010, IAME 2010 INT ASS OF Schimmenti E, 2008, NEW MEDIT, V7, P20 Statistical Pocketbook, 2014, EU TRANSP FIG Suarez-Aleman A, 2015, INT J SHIP TRANS LOG, V7, P42, DOI 10.1504/IJSTL.2015.065894 Torbianelli V. A, 2000, MARIT POLICY MANAG, V27, P375 UNComtrade, 2015, INT TRAD STAT DAT Wu L, 2013, PROCD SOC BEHV, V96, P2159, DOI 10.1016/j.sbspro.2013.08.243 NR 38 TC 3 Z9 3 U1 2 U2 13 PU EMERALD GROUP PUBLISHING LTD PI BINGLEY PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND SN 0007-070X EI 1758-4108 J9 BRIT FOOD J JI Br. Food J. PY 2016 VL 118 IS 8 BP 1894 EP 1909 DI 10.1108/BFJ-05-2016-0193 PG 16 WC Food Science & Technology SC Food Science & Technology GA DT0YO UT WOS:000381209100006 DA 2019-04-09 ER PT J AU Alem, S AF Alem, Shiferaw TI Status and trends of the processed wood products trade in Ethiopia SO JOURNAL OF SUSTAINABLE FORESTRY LA English DT Article DE Ethiopia; expenditure; export; import; processed wood products; sustainability ID INDUSTRY; GROWTH AB Information on the trends of the processed wood products (PWP) trade in Ethiopia is lacking. Therefore, the objectives of this article are (a) to evaluate the trends of expenses from importing and incomes generated from exporting different PWP, (b) to assess the PWP trade balance, and (c) to forecast future ex-penses in importing PWP. To achieve the objectives, import and export data of PWP in the years of 2005-2013 were collected. The data were analyzed using Pearson's correlation. The trend of expenses was analyzed using Excel and future expenditures were forecasted by models for each PWP, independently. The result indicated that, Ethiopia spent on average, US $55.2 million/yr to import different PWP. The trend of expenses to import different PWP increased by 13% each year. There was a strong and positive correlation between the average yearly expenses to import different PWP with that of the population of the country in different years' time (R-2 = .80) and also the GDP of the country in different years' time (R-2 = .87). Overall, the results showed the self-insufficiency of the country in producing different PWP and the heavy expenditure to import wood products to fill the gap. C1 [Alem, Shiferaw] Mendel Univ Brno, Dept Forest Bot Dendrol & Geobiocenol, Zemedelska 3, Brno 61300, Czech Republic. RP Alem, S (reprint author), Mendel Univ Brno, Dept Forest Bot Dendrol & Geobiocenol, Zemedelska 3, Brno 61300, Czech Republic. EM shife19@gmail.com CR Agrawal A., 2013, UN FOR FOR IST TURK Alem Shiferaw, 2015, African Journal of Economic and Sustainable Development, V4, P353 Bekele M., 2011, FOREST PLANTATIONS W Bojnec S, 2014, FOREST POLICY ECON, V40, P31, DOI 10.1016/j.forpol.2013.11.009 Bojnec S, 2011, AUSTRIAN J FOR SCI, V128, P157 CSA (Central Statistical Authority), 2008, SUMM STAT REP 2007 P Economic Commission of Africa (ECA), 2012, GOV HARN NAT RES AFR Erb KH, 2009, ECOL ECON, V69, P328, DOI 10.1016/j.ecolecon.2009.06.025 Feyissa S., 2011, NARROWING TRADE DEFI Food and Agriculture Organization of the United Nations, 2014, FAO FOR SER, V47 Food and Agriculture Organization of the United Nations, 2012, STAT WORLDS FOR 2012 Food and Agriculture Organization of the United Nations (FAO), 2007, STAT WORLDS FOR REP Forestry Outlook Study for Africa (FOSA), 2000, FOR OUTL STUD AFR RE Foster AD, 2003, Q J ECON, V118, P601, DOI 10.1162/003355303321675464 GEF, 2013, AFR WILL IMP NOT EXP Kastner T, 2011, GLOBAL ENVIRON CHANG, V21, P947, DOI 10.1016/j.gloenvcha.2011.05.003 Larinde S. L., 2010, Journal of Agriculture and Social Research (JASR), V10, P7 Lemenih M, 2014, FORESTS, V5, P1896, DOI 10.3390/f5081896 Nigatu A., 2004, THESIS Paivinen R, 2012, EUR J FOREST RES, V131, P7, DOI 10.1007/s10342-010-0446-4 Sujova A, 2015, WOOD RES-SLOVAKIA, V60, P491 World Bank, 2015, ETH EC UPD OV CONSTR NR 22 TC 0 Z9 0 U1 0 U2 4 PU TAYLOR & FRANCIS INC PI PHILADELPHIA PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA SN 1054-9811 EI 1540-756X J9 J SUSTAIN FOREST JI J. Sustain. For. PY 2016 VL 35 IS 4 BP 251 EP 260 DI 10.1080/10549811.2016.1166968 PG 10 WC Forestry SC Forestry GA DT9GF UT WOS:000381803500001 DA 2019-04-09 ER PT J AU Crouzat, E Martin-Lopez, B Turkelboom, F Lavorel, S AF Crouzat, Emilie Martin-Lopez, Berta Turkelboom, Francis Lavorel, Sandra TI Disentangling trade-offs and synergies around ecosystem services with the influence network framework: illustration from a consultative process over the French Alps SO ECOLOGY AND SOCIETY LA English DT Article DE cross-sectoral stakeholder consultation; ecosystem service potential supply; demand, and use; French Alps; influence networks; trade-offs and synergies ID SOCIAL-ECOLOGICAL APPROACH; CONCEPTUAL-FRAMEWORK; DECISION-MAKING; BIODIVERSITY; MANAGEMENT; DEMAND; PERSPECTIVES; LANDSCAPES; VALUATION; PROVISION AB An important aspect of sustainability is to maintain biodiversity and ecosystem functioning while improving human well-being. For this, the ecosystem service (ES) approach has the potential to bridge the still existing gap between ecological management and social development, especially by focusing on trade-offs and synergies between ES and between their beneficiaries. Several frameworks have been proposed to account for trade-offs and synergies between ES, and between ES and other components of social-ecological systems. However, to date, insufficient explicit attention has been paid to the three facets encompassed in the ES concept, namely potential supply, demand, and use, leading to incomplete descriptions of ES interactions. We expand on previous frameworks by proposing a new influence network framework (INF) based on an explicit consideration of influence relationships between these three ES facets, biodiversity, and external driving variables. We tested its ability to provide a comprehensive view of complex social-ecological interactions around ES through a consultative process focused on environmental management in the French Alps. We synthetized the interactions mentioned during this consultative process and grouped variables according to their overall propensity to influence or be influenced by the system. The resulting directed sequence of influences distinguished between: (1) mostly influential variables (dynamic social variables and ecological state variables), (2) target variables (provisioning and cultural services), and (3) mostly impacted variables (regulating services and biodiversity parameters). We discussed possible reasons for the discrepancies between actual and perceived influences and proposed options to overcome them. We demonstrated that the INF holds the potential to deliver collective assessments of ES relations by: (1) including ecological as well as social aspects, (2) providing opportunities for colearning processes between stakeholder groups, and (3) supporting communication about complex social-ecological systems and consequences for environmental management. C1 [Crouzat, Emilie; Lavorel, Sandra] Univ Grenoble Alpes, CNRS, Lab Ecol Alpine, Grenoble, France. [Martin-Lopez, Berta] Leuphana Univ Luneburg, Fac Sustainabil, Inst Eth & Transdisciplinary Sustainabil Res, Luneburg, Germany. [Turkelboom, Francis] Res Inst Nat & Forest INBO, Res Grp Nat & Soc, Brussels, Belgium. RP Crouzat, E (reprint author), Univ Grenoble Alpes, CNRS, Lab Ecol Alpine, Grenoble, France. RI Martin-Lopez, Berta/R-9397-2017; LTER Alpes, Zone Atelier Alpes/P-4132-2015 OI Martin-Lopez, Berta/0000-0003-2622-0135; Turkelboom, Francis/0000-0002-6317-9808 FU ERAnet BiodivERsA project CONNECT; French Agence Nationale pour la Recherche; OPERAs [FP7-ENV-2012-two-stage-308393] FX This work was funded by ERAnet BiodivERsA project CONNECT, with support from the French Agence Nationale pour la Recherche and OPERAs FP7-ENV-2012-two-stage-308393. Authors thank Fabien Quetier, Penelope Lamarque, Adeline Bierry, and Caroline Devaux for support during the consultative process. We are grateful to all stakeholders who were so kind to share their perspectives with us. CR Abson DJ, 2011, CONSERV BIOL, V25, P250, DOI 10.1111/j.1523-1739.2010.01623.x Anderson BJ, 2009, J APPL ECOL, V46, P888, DOI 10.1111/j.1365-2664.2009.01666.x Bagstad KJ, 2014, ECOL SOC, V19, DOI 10.5751/ES-06523-190264 Bai Y, 2011, ECOL COMPLEX, V8, P177, DOI 10.1016/j.ecocom.2011.01.007 Ban NC, 2013, FRONT ECOL ENVIRON, V11, P194, DOI 10.1890/110205 Barnaud C, 2014, GEOFORUM, V56, P113, DOI [10.1016/j.geoforum.2014.07.003, 10.1016/j.geoforurn.2014.07.003] Bastian O, 2012, ECOL INDIC, V21, P7, DOI 10.1016/j.ecolind.2011.03.014 Bennett EM, 2015, CURR OPIN ENV SUST, V14, P76, DOI 10.1016/j.cosust.2015.03.007 Boyd J, 2007, ECOL ECON, V63, P616, DOI 10.1016/j.ecolecon.2007.01.002 Briner S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05576-180335 Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019 Costanza R., 1997, INTRO ECOLOGICAL EC Coyne IT, 1997, J ADV NURS, V26, P623, DOI 10.1046/j.1365-2648.1997.t01-25-00999.x Crouzat E, 2015, J APPL ECOL, V52, P1145, DOI 10.1111/1365-2664.12502 Elo S, 2008, J ADV NURS, V62, P107, DOI 10.1111/j.1365-2648.2007.04569.x European Environmental Agency (EEA), 2002, ALP REG MOUNT EUR Felipe-Lucia MR, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0132232 Fischer A, 2016, LAND USE POLICY, V52, P41, DOI 10.1016/j.landusepol.2015.12.004 Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014 Fitter AH, 2013, ENVIRON RESOUR ECON, V55, P513, DOI 10.1007/s10640-013-9676-5 Garcia-Nieto AP, 2013, ECOSYST SERV, V4, P126, DOI 10.1016/j.ecoser.2013.03.003 Geijzendorffer IR, 2015, ECOL INDIC, V52, P320, DOI 10.1016/j.ecolind.2014.12.016 Harrington R, 2010, BIODIVERS CONSERV, V19, P2773, DOI 10.1007/s10531-010-9834-9 Hauck J, 2013, ENVIRON SCI POLICY, V25, P13, DOI 10.1016/j.envsci.2012.08.001 Hein L, 2006, ECOL ECON, V57, P209, DOI 10.1016/j.ecolecon.2005.04.005 Hicks CC, 2013, GLOBAL ENVIRON CHANG, V23, P1444, DOI 10.1016/j.gloenvcha.2013.07.028 Iniesta-Arandia I, 2014, ECOL ECON, V108, P36, DOI 10.1016/j.ecolecon.2014.09.028 Kandziora M, 2013, ECOL INDIC, V28, P54, DOI 10.1016/j.ecolind.2012.09.006 Kareiva P, 2007, SCIENCE, V316, P1866, DOI 10.1126/science.1140170 Karrasch L, 2014, LAND USE POLICY, V38, P522, DOI 10.1016/j.landusepol.2013.12.010 Kok K, 2009, GLOBAL ENVIRON CHANG, V19, P122, DOI 10.1016/j.gloenvcha.2008.08.003 Kremen C, 2005, ECOL LETT, V8, P468, DOI 10.1111/j.1461-0248.2005.00751.x Lamarque P, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107572 Lamarque P, 2011, REG ENVIRON CHANGE, V11, P791, DOI 10.1007/s10113-011-0214-0 Landuyt D, 2013, ENVIRON MODELL SOFTW, V46, P1, DOI 10.1016/j.envsoft.2013.03.011 Lewan L, 2002, ECOL ECON, V42, P459, DOI 10.1016/S0921-8009(02)00127-1 Luck GW, 2012, BIOSCIENCE, V62, P1020, DOI 10.1525/bio.2012.62.12.4 Lugnot M, 2013, REG ENVIRON CHANGE, V13, P1145, DOI 10.1007/s10113-013-0426-6 Martin-Lopez B, 2014, ECOL INDIC, V37, P220, DOI 10.1016/j.ecolind.2013.03.003 MEA, 2005, LIV OUR MEANS NAT AS Menzel S, 2013, ECOL SOC, V18, DOI 10.5751/ES-05154-180113 Moreno J, 2014, LANDSCAPE ECOL, V29, P1407, DOI 10.1007/s10980-014-0053-8 Mouchet MA, 2014, GLOBAL ENVIRON CHANG, V28, P298, DOI 10.1016/j.gloenvcha.2014.07.012 Palomo I, 2016, ADV ECOL RES, V54, P245, DOI 10.1016/bs.aecr.2015.09.003 Palomo I, 2013, ECOSYST SERV, V4, P104, DOI 10.1016/j.ecoser.2012.09.001 Raudsepp-Hearne C, 2010, P NATL ACAD SCI USA, V107, P5242, DOI 10.1073/pnas.0907284107 Reyers B, 2013, FRONT ECOL ENVIRON, V11, P268, DOI 10.1890/120144 Rives F, 2012, ECOL SOC, V17, DOI 10.5751/ES-05182-170421 Rodriguez JP, 2006, ECOL SOC, V11 Schneiders A, 2012, ECOL INDIC, V21, P123, DOI 10.1016/j.ecolind.2011.06.021 Schroter M, 2014, ECOL INDIC, V36, P539, DOI 10.1016/j.ecolind.2013.09.018 Schulp CJE, 2014, ECOL INDIC, V36, P131, DOI 10.1016/j.ecolind.2013.07.014 Spangenberg Joachim H., 2014, International Journal of Biodiversity Science Ecosystem Services & Management, V10, P40, DOI 10.1080/21513732.2014.884166 Sutherland WJ, 2014, ORYX, V48, P1, DOI 10.1017/S0030605313001543 Tappeiner U., 2008, MAPPING THE ALPS Van der Biest K, 2014, ECOL INDIC, V37, P252, DOI 10.1016/j.ecolind.2013.04.006 Villamagna AM, 2013, ECOL COMPLEX, V15, P114, DOI 10.1016/j.ecocom.2013.07.004 Wolff S, 2015, ECOL INDIC, V55, P159, DOI 10.1016/j.ecolind.2015.03.016 Zulian G, 2013, LAND, V2, P472, DOI 10.3390/land2030472 NR 59 TC 7 Z9 7 U1 0 U2 27 PU RESILIENCE ALLIANCE PI WOLFVILLE PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA SN 1708-3087 J9 ECOL SOC JI Ecol. Soc. PY 2016 VL 21 IS 2 AR 32 DI 10.5751/ES-08494-210232 PG 18 WC Ecology; Environmental Studies SC Environmental Sciences & Ecology GA DR6ZF UT WOS:000380049100041 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Zinngrebe, YM AF Zinngrebe, Yves M. TI Conservation narratives in Peru: envisioning biodiversity in sustainable development SO ECOLOGY AND SOCIETY LA English DT Article DE environmental discourses; extractivism; Latin America; natural capital; political ecology; protected areas; sustainability ID COSTA-RICA; TRADE-OFFS; KNOWLEDGE; PEOPLES; AMAZON AB In the mega-diverse country Peru, a resource intensive development model collides with the interest of conserving biodiversity. Peruvian biodiversity experts have developed different lines of argumentation as to how to integrate conservation into the sustainable development of their country. Applying grounded theory, I define five groups of conservation narratives based on the analysis of 72 qualitative interviews with experts working in areas of biodiversity conservation. I have labeled them: biodiversity protectionists, biodiversity traditionalists, biodiversity localists, biodiversity pragmatists, and biodiversity capitalists. These groups are each discussed in connection with what they have to say about biodiversity in relation to human life, valuation and knowledge systems, participation and leadership, substitutability of natural capital, and its predominant political strategy. In a second step, a comparative analysis of the dominant and diverging political perspectives is made. I argue that by deconstructing underlying premises and ideologies, common ground and possible opportunities for collaboration can be identified. Moreover, although the presented results can serve as a discussion scaffold to organize conservation debates in Peru, this example demonstrates how the terms biodiversity and sustainability are operationalized in conservation narratives. C1 [Zinngrebe, Yves M.] Univ Gottingen, Dept Agr Econ & Rural Dev, Gottingen, Germany. RP Zinngrebe, YM (reprint author), Univ Gottingen, Dept Agr Econ & Rural Dev, Gottingen, Germany. FU Heinrich-Boell-Foundation; Gottingen University; German Research Foundation FX I want to acknowledge the useful feedback I received at "The International Conference for Sustainable Development Practice" (at Columbia University, New York) and "Qualitative Research Forum" (at Georg August University, Gottingen) prior to submission. I would like to express my gratitude to all the Peruvian conservation experts for sharing their immense experience with me. I would also like to thank the unknown reviewers, Miranda Schreurs, Niels Dreber, Thomas Tyrell, Kaiti Tasker, Ulrike Zeigermann, Stefan Schuler, Christine Rumpf, Rebekah Nahai, and Susanne Rewitzer for their useful comments at different working stages of this paper. The research process was funded by Heinrich-Boell-Foundation. I acknowledge the support of the Open Access Publication Fund provided by Gottingen University and the German Research Foundation. CR Apostolopoulou E., 2012, SUSTAINABLE DEV POLI, P405 Arts B, 2009, FOREST POLICY ECON, V11, P340, DOI 10.1016/j.forpol.2008.10.004 BEBBINGTON A., 2013, IND EXTRACTIVAS CONF Belaunde Terry F., 1994, CONQUISTA PERU PERUA Berghoefer U, 2010, ECOL SOC, V15 Bertel M., 2013, MULTILEVEL GOVERNANC Campbell BM, 2010, ECOL SOC, V15 Campbell LM, 2002, DEV CHANGE, V33, P29, DOI 10.1111/1467-7660.00239 Chavez AB, 2014, J LAND USE SCI, V9, P414, DOI 10.1080/1747423X.2013.807310 CORBIN J, 1990, Z SOZIOL, V19, P418, DOI 10.1007/BF00988593 Defensoria del Pueblo, 2015, REP MENS CONFL SOC 1 Escobar A., 1998, J POLITICAL ECOLOGY, V5, P53, DOI DOI 10.2458/v5i1.21397 Finer M, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0002932 Flick U., 2007, QUALITATIVE SOZIALFO Forsyth T., 2008, FOR GUARD FOR DESTR Froschauer U., 2003, QUALITATIVE INTERVIE Glaser B. G., 2009, DISCOVERY GROUNDED T Gockel CK, 2009, ECOL SOC, V14 Goulder LH, 2008, REV ENV ECON POLICY, V2, P152, DOI 10.1093/reep/ren005 Gutierrez-Velez VH, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/4/044029 Hajer MA, 1995, POLITICS ENV DISCOUR Hirsch PD, 2011, CONSERV BIOL, V25, P259, DOI 10.1111/j.1523-1739.2010.01608.x Houde N, 2007, ECOL SOC, V12 Instituto Nacional de Estadistica e Informatica (INEI), 2015, EC SIST INF EC Kvarda E, 2012, ENVIRONMENTAL GOVERNANCE: THE CHALLENGE OF LEGITIMACY AND EFFECTIVENESS, P69 Lutz E, 1996, DECENTRALIZATION BIO Mace GM, 2012, TRENDS ECOL EVOL, V27, P19, DOI 10.1016/j.tree.2011.08.006 Martello M.L., 2004, EARTHLY POLITICS LOC Martinez Alier J., 2010, ECOLOGISMO POBRES CO Neumayer E., 2003, WEAK VERSUS STRONG S Nygren A, 1998, ENVIRON VALUE, V7, P201, DOI 10.3197/096327198129341546 Orihuela J., 2013, IND EXTRACTIVAS CONF, P59 Pressman J. L., 1984, IMPLEMENTATION Servicio Nacional de Areas Naturales Protegidas por el Estado (SERNANP), 2016, NUESTR AR NAT PROT L United Nations, 1992, CONV BIOL DIV West P, 2006, ANNU REV ANTHROPOL, V35, P251, DOI 10.1146/annurev.anthro.35.081705.123308 Zinngrebe Y., 2016, 1606 GEORG AUG U GOT Zinngrebe Y, 2016, J NAT CONSERV, V32, P10, DOI 10.1016/j.jnc.2016.03.006 NR 38 TC 1 Z9 1 U1 3 U2 16 PU RESILIENCE ALLIANCE PI WOLFVILLE PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA SN 1708-3087 J9 ECOL SOC JI Ecol. Soc. PY 2016 VL 21 IS 2 AR 35 DI 10.5751/ES-08512-210235 PG 23 WC Ecology; Environmental Studies SC Environmental Sciences & Ecology GA DR6ZF UT WOS:000380049100046 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Sovacool, BK Tambo, T AF Sovacool, Benjamin K. Tambo, Torben TI Comparing consumer perceptions of energy security, policy, and low-carbon technology: Insights from Denmark SO ENERGY RESEARCH & SOCIAL SCIENCE LA English DT Article DE Energy security; Energy sustainability; Public attitudes; Security of supply ID RENEWABLE ENERGY; PUBLIC PERCEPTIONS; ENVIRONMENTAL ATTITUDES; WIND ENERGY; ELECTRICITY; LANDSCAPES; GENERATION; HISTORY; SYSTEMS; CHOICE AB This study investigates how energy-users from one low-carbon country - Denmark - perceive energy security threats and dimensions compared to those from ten other countries. The purpose, in part, is to discuss the relationship between consumer perceptions of energy challenges, adoption of renewable energy, climate change, and the prices of energy services. The article's primary source of data is a survey distributed in eight languages (English, Danish, Mandarin, Portuguese, Russian, Arabic, German, and Japanese) to 2495 respondents in Brazil, China, Denmark, Germany, India, Kazakhstan, Japan, Papua New Guinea, Saudi Arabia, Singapore, and the United States. Survey results are used to test five propositions about energy security related to Denmark: the influence of culture, being "green," the centrality of oil and gas, the salience of energy trade, and the necessity of affordable prices. The study concludes that Danish respondents rate energy security dimensions lower than most other countries, that responses invalidate a number of propositions stated in the academic literature, and that energy security is a complex topic both in theory and in practice. Furthermore the results suggest that consumer perceptions and attitudes about decentralized policy options (from the bottom-up) rate lower than governmental and institutional ones (from the top-down). (C) 2015 Elsevier Ltd. All rights reserved. C1 [Sovacool, Benjamin K.; Tambo, Torben] Aarhus Univ, Dept Business & Technol Dev, Ctr Energy Technol, Birk Ctr Pk 15, DK-7400 Herning, Denmark. [Sovacool, Benjamin K.] Univ Sussex, Sch Business Management & Econ, Sci & Technol Policy Res Unit SPRU, Brighton BN1 9RH, E Sussex, England. RP Sovacool, BK (reprint author), Aarhus Univ, Birk Ctr Pk 15, DK-7400 Herning, Denmark. EM BenjaminSo@hih.au.dk OI Sovacool, Benjamin/0000-0002-4794-9403; Tambo, Torben/0000-0001-8491-7286 FU MacArthur Foundation's Asia Security Initiative [08-92777-000-GSS] FX This study draws significantly from earlier work on energy security attitudes funded by the MacArthur Foundation's Asia Security Initiative under Grant 08-92777-000-GSS. The study also expands the arguments presented in an earlier study entitled "Exploring Propositions about Perceptions of Energy Security: An International Survey," published in Environmental Science & Policy 16 (1) (January, 2012), pp. 44-64. Ms. Pascale Blyth from Aarhus University provided helpful comments on earlier drafts of the manuscript, along with three independent and anonymous peer-reviewers. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the MacArthur Foundation, or our survey respondents and participants. Also, one of the authors of this paper is an editor for Energy Research & Social Science. He was not involved in managing the peer review or editorial process for this article. CR Akhmatov V, 2007, ELECTR POW SYST RES, V77, P1228, DOI 10.1016/j.epsr.2006.08.009 Bambawale M.J., 2011, CONT ARAB AFF, V4, P208 Bambawale MJ, 2011, ENERG POLICY, V39, P1254, DOI 10.1016/j.enpol.2010.11.053 Bambawale MJ, 2011, APPL ENERG, V88, P1949, DOI 10.1016/j.apenergy.2010.12.016 Carlisle E. Juliet, 2014, ENERGY RES SOC SCI, V3 Cherp A, 2012, ENERG POLICY, V48, P841, DOI 10.1016/j.enpol.2012.02.016 Cook T. D., 1979, QUASIEXPERIMENTATION Danish Energy Agency, 2014, EN STAT 2012 Danish Energy Agency, 2009, EN EFF POL MEAS DENM Danish Government, 2011, EN STRAT 2011 COAL O Demski C, 2014, ENERG POLICY, V66, P369, DOI 10.1016/j.enpol.2013.10.079 Devine-Wright P, 2005, WIND ENERGY, V8, P125, DOI 10.1002/we.124 Dexter L. A., 1970, ELITE SPECIALIZED IN DKVind, 2013, NY UND DANSK FORTS P Dong Energy, 2013, DAN SHELF Energinet. dk, 2013, FOR MILJQ D Europe Photovoltaic Industry Association (EPIA), 2013, GLOBAL MARKET OUTLOO Eurostat, 2012, EN PRIC STAT Eurostat, 2013, EU27 EN DEP RAT 54 2 Frederik-Bach Paul, 2008, DANISH WIND POWER EL Fukuyama F., 1999, IMF C 2 GEN REF WASH Guo Y, 2015, ENERGY, V82, P722, DOI 10.1016/j.energy.2015.01.082 Hamilton Blair A., 2010, COMPARISON ENERGY EF Hvelplund F., 2014, ENV RES ENG MANAG, V66 International Energy Agency, 2011, OIL AND GAS SEC Jacobson MZ, 2009, ENERG ENVIRON SCI, V2, P148, DOI 10.1039/b809990c Jansen JC, 2010, ENERG POLICY, V38, P1654, DOI 10.1016/j.enpol.2009.02.047 Kilbourne WE, 2002, J BUS RES, V55, P193, DOI 10.1016/S0148-2963(00)00141-7 Klok J, 2006, ENERG POLICY, V34, P905, DOI 10.1016/j.enpol.2004.08.044 Knox-Hayes J, 2013, GLOBAL ENVIRON CHANG, V23, P609, DOI 10.1016/j.gloenvcha.2013.02.003 Kroger J., 2012, J RENEW ENERGY LAW P, P292 Kruyt B, 2009, ENERG POLICY, V37, P2166, DOI 10.1016/j.enpol.2009.02.006 Ladenburg J, 2008, RENEW ENERG, V33, P111, DOI 10.1016/j.renene.2007.01.011 Ladenburg J, 2012, APPL ENERG, V98, P40, DOI 10.1016/j.apenergy.2012.02.070 Ladenburg J, 2011, RENEW SUST ENERG REV, V15, P4223, DOI 10.1016/j.rser.2011.07.130 Lehtonen M, 2009, ENERG POLICY, V37, P2338, DOI 10.1016/j.enpol.2009.01.026 Lenzen M, 2006, ENERGY, V31, P181, DOI 10.1016/j.energy.2005.01.009 Lewis Joana, 2015, LBNL59116 Likert Rensis, 1932, ARCH PSYCHOL, V140, P1, DOI DOI 10.1111/J.1540 Lozanoa Rodrigo, 2015, J CLEAN PRO IN PRESS Lund H, 2009, ENERGY, V34, P524, DOI 10.1016/j.energy.2008.04.003 Lund H, 2010, ENERGY, V35, P4003, DOI 10.1016/j.energy.2010.01.036 Martinez J, 2011, AM J PUBLIC HEALTH, V101, P1 Mendonca M, 2009, POLICY SOC, V27, P379, DOI DOI 10.1016/J.P0LS0C.2009.01.007 Mills B, 2012, ENERG POLICY, V49, P616, DOI 10.1016/j.enpol.2012.07.008 Moller B, 2006, APPL ENERG, V83, P477, DOI 10.1016/j.apenergy.2005.04.004 Moller B, 2010, LAND USE POLICY, V27, P233, DOI 10.1016/j.landusepol.2009.06.001 NIELSEN HJ, 1981, EUR J POLIT RES, V9, P47, DOI 10.1111/j.1475-6765.1981.tb00588.x Nordic Energy Research and the International Energy Agency, 2013, NORD EN TECHN PERSP Nyborg S, 2013, ENERG EFFIC, V6, P655, DOI 10.1007/s12053-013-9210-1 Olesen G. B., 2006, DANISH INITIATIVES P Ostergaard PA, 2010, ENERGY, V35, P2194, DOI 10.1016/j.energy.2010.02.005 Parajuli R, 2012, RENEW SUST ENERG REV, V16, P2191, DOI 10.1016/j.rser.2012.01.045 Pasqualetd Martin J., 2011, ROUTLEDGE HDB ENERGY, V2015, P275 Payne Rachel, 2013, COPENHAGEN POST 0120 Rasmussen Tove Arendt, 2010, RUC SUNR TRIPL C C C Rasmussen Tove Arendt, 2009, 27 4 INT RES DAYS MA, P2009 Richards D., 1996, POLITICS, V16, P199, DOI DOI 10.1111/J.1467-9256.1996.TB00039.X Rogers JC, 2008, ENERG POLICY, V36, P4217, DOI 10.1016/j.enpol.2008.07.028 Ryland E, 2010, ENVIRON POLIT, V19, P80, DOI 10.1080/09644010903396093 Sagebiel J, 2014, ENERGY RES SOC SCI, V2, P90, DOI 10.1016/j.erss.2014.04.003 Saidur R, 2010, RENEW SUST ENERG REV, V14, P1744, DOI 10.1016/j.rser.2010.03.007 Sovacool B., 2012, NATL POLITICS NUCL P Sovacool BK, 2015, ENVIRON SCI POLICY, V54, P304, DOI 10.1016/j.envsci.2015.07.011 Sovacool BK, 2013, ENERG POLICY, V61, P829, DOI 10.1016/j.enpol.2013.06.106 Sovacool BK, 2013, ECOL ECON, V88, P148, DOI 10.1016/j.ecolecon.2013.01.019 Sovacool BK, 2012, ASIAN SURV, V52, P949, DOI 10.1525/as.2012.52.5.949 Sovacool BK, 2012, ENERG POLICY, V48, P835, DOI 10.1016/j.enpol.2012.02.017 Sovacool BK, 2012, ENVIRON SCI POLICY, V16, P44, DOI 10.1016/j.envsci.2011.10.009 Sovacool BK, 2011, J CLEAN PROD, V19, P1147, DOI 10.1016/j.jclepro.2011.03.014 Sovacool BK, 2010, ANNU REV ENV RESOUR, V35, P77, DOI 10.1146/annurev-environ-042509-143035 Sovacool BK, 2011, ROUT INT HANDB, P1 Sperling K, 2011, ENERG POLICY, V39, P1338, DOI 10.1016/j.enpol.2010.12.006 Statistics Denmark, 2013, TAX EXC SUMM 2013 Tampakis S, 2013, RENEW SUST ENERG REV, V20, P473, DOI 10.1016/j.rser.2012.12.027 Togeby M, 2012, ENERG EFFIC, V5, P37, DOI 10.1007/s12053-011-9117-7 Toke D, 2005, ENVIRON PLANN C, V23, P361, DOI 10.1068/c0414j Tonini D, 2012, APPL ENERG, V99, P234, DOI 10.1016/j.apenergy.2012.03.006 Turconi R, 2014, INT J LIFE CYCLE ASS, V19, P100, DOI 10.1007/s11367-013-0632-y Tutore I., 2013, INT REV MANAG BUS RE, V2, P210 Valentine S, 2011, ENERG POLICY, V39, P1865, DOI 10.1016/j.enpol.2011.01.029 Valentine SV, 2011, RENEW SUST ENERG REV, V15, P4572, DOI 10.1016/j.rser.2011.07.095 Vivoda V, 2010, ENERG POLICY, V38, P5258, DOI 10.1016/j.enpol.2010.05.028 Walker G, 2010, ENVIRON PLANN A, V42, P931, DOI 10.1068/a41400 Warren CR, 2010, LAND USE POLICY, V27, P204, DOI 10.1016/j.landusepol.2008.12.010 West J, 2010, ENERG POLICY, V38, P5739, DOI 10.1016/j.enpol.2010.05.024 Woods M, 1998, ENVIRON PLANN A, V30, P2101, DOI 10.1068/a302101 NR 87 TC 8 Z9 9 U1 1 U2 22 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2214-6296 EI 2214-6326 J9 ENERGY RES SOC SCI JI Energy Res. Soc. Sci. PD JAN PY 2016 VL 11 BP 79 EP 91 DI 10.1016/j.erss.2015.08.010 PG 13 WC Environmental Studies SC Environmental Sciences & Ecology GA DQ8AD UT WOS:000379430400008 DA 2019-04-09 ER PT J AU Broad, KC Sneath, RJ Emery, TMJ AF Broad, Kiri C. Sneath, Roger J. Emery, Timothy M. J. TI Use of business analysis in beef businesses to direct management practice change for climate adaptation outcomes SO RANGELAND JOURNAL LA English DT Article DE climate change; extension; productivity; profitability; whole-of-business ID SUSTAINABILITY; AUSTRALIA AB Beef businesses in northern Australia are facing increased pressure to be productive and profitable with challenges such as climate variability and poor financial performance over the past decade. Declining terms of trade, limited recent gains in on-farm productivity, low profit margins under current management systems and current climatic conditions will leave little capacity for businesses to absorb climate change-induced losses. In order to generate a whole-of-business focus towards management change, the Climate Clever Beef project in the Maranoa-Balonne region of Queensland trialled the use of business analysis with beef producers to improve financial literacy, provide a greater understanding of current business performance and initiate changes to current management practices. Demonstration properties were engaged and a systematic approach was used to assess current business performance, evaluate impacts of management changes on the business and to trial practices and promote successful outcomes to the wider industry. Focus was concentrated on improving financial literacy skills, understanding the business' key performance indicators and modifying practices to improve both business productivity and profitability. To best achieve the desired outcomes, several extension models were employed: the group facilitation/empowerment model', the individual consultant/mentor model' and the technology development model'. Providing producers with a whole-of-business approach and using business analysis in conjunction with on-farm trials and various extension methods proved to be a successful way to encourage producers in the region to adopt new practices into their business, in the areas of greatest impact. The areas targeted for development within businesses generally led to improvements in animal performance and grazing land management further improving the prospects for climate resilience. C1 [Broad, Kiri C.] Queensland Dept Agr & Fisheries, Longreach, Qld 4730, Australia. [Sneath, Roger J.] Queensland Dept Agr & Fisheries, Toowoomba, Qld 4350, Australia. [Emery, Timothy M. J.] Queensland Dept Agr & Fisheries, Roma, Qld 4455, Australia. RP Broad, KC (reprint author), Queensland Dept Agr & Fisheries, Longreach, Qld 4730, Australia. EM kiri.broad@daf.qld.gov.au RI Ramalho, Thiago/E-4525-2016 FU Queensland Government's Department of Agriculture and Fisheries; Australian Government Department of Agriculture FX The authors thank the Queensland Government's Department of Agriculture and Fisheries and the Australian Government Department of Agriculture for funding this research. The authors would also like to acknowledge the project group members for their willingness to share their business production and financial information and the collaboration of Ian McLean, Bush AgriBusiness. CR [Anonymous], 2015, CARB FARM FUT Australian Farm Institute, 2015, FRAMGAS CALC ST FIN Bell AK, 2000, AUST J EXP AGR, V40, P325, DOI 10.1071/EA98017 Bray S., 2014, BNBP0564 MEAT LIV AU Bush Agri Business Pty Ltd, 2015, BUS AN Chudleigh F., 2013, BREEDCOW DYNAM SOFTW Coutts J., 2005, ROLE EXTENSION BUILD Galloway R. W., 1974, LAND RES SERIES CSIR, V34 Hamilton J., 2011, EXTENSION FARMING SY, V7, P77 Holmes P., 2010, BNBP0518 MEAT LIV AU Holmes PR, 2015, RANGELAND J, V37, P609, DOI 10.1071/RJ15051 Holmes W. E., 2003, BREEDCOW DYNAMA HERD HUMPHREYS L. R., 1967, TROP GRASSLANDS, V1, P123 Hunt W, 2011, RURAL SOC, V20, P112, DOI 10.5172/rsj.20.2.112 Jessup L. W., 2015, CENSUS QUEENSLAND FL McLean I, 2014, BCOM0348 MEAT LIV AU Nelson BS, 2009, RANGELAND J, V31, P61, DOI 10.1071/RJ08059 Pahl L., 2015, BETTER BEEF AND REEF Pannell DJ, 2006, AUST J EXP AGR, V46, P1407, DOI 10.1071/EA5037 Paton C., 2011, BEST BET PRACTICES M Peck GA, 2011, REV PRODUCTIVITY DEC Phelps D., 2014, BNBP0616 MEAT LIV AU Queensland Department of Primary Industries, 1988, NAT PAST QUEENSL THE Resource Consulting Services, 2015, PROFITPROBE RCS BUS Seabrook L, 2006, LANDSCAPE URBAN PLAN, V78, P373, DOI 10.1016/j.landurbplan.2005.11.007 Stokes C., 2012, DEV IMPROVED IND STR NR 26 TC 1 Z9 1 U1 1 U2 4 PU CSIRO PUBLISHING PI CLAYTON PA UNIPARK, BLDG 1, LEVEL 1, 195 WELLINGTON RD, LOCKED BAG 10, CLAYTON, VIC 3168, AUSTRALIA SN 1036-9872 EI 1834-7541 J9 RANGELAND J JI Rangeland J. PY 2016 VL 38 IS 3 SI SI BP 273 EP 282 DI 10.1071/RJ15103 PG 10 WC Ecology SC Environmental Sciences & Ecology GA DQ8XX UT WOS:000379496100006 DA 2019-04-09 ER PT J AU Fischhendler, I Katz, D Feitelson, E AF Fischhendler, Itay Katz, David Feitelson, Eran TI Identifying synergies and trade-offs in the sustainability-security nexus: the case of the Israeli-Palestinian wastewater treatment regime SO HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES LA English DT Article DE Israeli-Palestinian conflict; security; sustainability; water; wastewater treatment ID ENVIRONMENT; CONFLICT; COOPERATION; MANAGEMENT; WARS AB The literature on environmental security often stresses the complementarity between sustainability and broader security goals. Less emphasis has been placed on possible trade-offs between security objectives and aspects of sustainability. This study examines the conditions under which these synergies and trade-offs are likely to occur, and how the trade-offs can be reconciled, especially during times of peacebuilding. As a case study, we analyse the effect of Israeli security concerns on environmental infrastructure designed to treat wastewater in the West Bank. This study identifies several sustainability-security trade-offs: (1) economic-in which security concerns raise costs of wastewater infrastructure, thereby crowding-out other potentially productive investments; (2) equity-in which security concerns result in disproportionate exposure of populations to environmental hazards; and (3) environmental-in which security concerns increase ecological footprints. Yet, our case study also indicates that both sides used a variety of creative measures to reconcile these trade-offs. C1 [Fischhendler, Itay; Feitelson, Eran] Hebrew Univ Jerusalem, Dept Geog, Jerusalem, Israel. [Katz, David] Univ Haifa, Dept Geog & Environm Studies, Haifa, Israel. RP Fischhendler, I (reprint author), Hebrew Univ Jerusalem, Dept Geog, Jerusalem, Israel. EM Itay.Fishhendler@mail.huji.ac.il CR Allan T., 2001, MIDDLE E WATER QUEST [Anonymous], 2002, SUMM DISC ISR TECHN Bar-or Y., 2006, COMMUNICATION BARKER ML, 1994, ENVIRONMENT, V36, P12, DOI 10.1080/00139157.1994.9929165 Barnett J., 2001, MEANING ENV SECURITY Brandeis A., 2001, M REH AL STREAM 2 JA Brandeis A., 2001, COMMUNICATION Brenner S., 1998, COMMUNICATION Caesari M., 2007, COMMUNICATION CNA, 2007, NAT SEC THREAT CLIM Collier Paul, 2000, 2355 WORLD BANK Conca K, 2005, BUILDING PEACE ENV C, P144 Deudeny D., 1990, B ATOM SCI, V47, P21 Diehl Paul, 2001, ENV CONFLICT DYCUS S, 1996, NATL DEFENSE ENV Eitan M., 1998, COMMUNICATION Farrell AE, 2004, ANNU REV ENV RESOUR, V29, P421, DOI 10.1146/annurev.energy.29.062403.102238 Feitelson E, 1998, WATER INT, V23, P227, DOI 10.1080/02508069808686776 Feitelson E., 1997, PROSPECTS ISRAELI PA Feitelson E, 2006, POLIT GEOGR, V25, P459, DOI 10.1016/j.polgeo.2006.04.001 Fischhendler I, 2013, INT ENVIRON AGREEM-P, V13, P321, DOI 10.1007/s10784-012-9192-z Fischhendler I, 2011, GLOBAL ENVIRON POLIT, V11, P36, DOI 10.1162/GLEP_a_00042 Gleditsch NP, 1998, J PEACE RES, V35, P381, DOI 10.1177/0022343398035003007 GLEICK PH, 1991, B ATOM SCI, V47, P17, DOI 10.1080/00963402.1991.11459956 Gvirtzman H., 2002, ISRAELI WATER RESOUR Gvirtzman H., 2012, MIDEAST SECURITY POL Haavisto P., 2005, ENV IMPACTS WAR STAT, P158 Haddad M., 2001, MANAGEMENT SHARED GR Hareuveny E, 2009, FOUL PLAY NEGLECT WA Herman O., 2007, COMMUNICATION Homer-Dixon Thomas F., 1999, ENV SCARCITY VIOLENC HOMERDIXON TF, 1994, INT SECURITY, V19, P5, DOI 10.2307/2539147 JWC (Joint Water Committee), 2001, M JOINT WAT COMM HEL Katz D, 2011, GLOBAL ENVIRON POLIT, V11, P12, DOI 10.1162/GLEP_a_00041 Khagram S, 2006, ANNU REV ENV RESOUR, V31, P395, DOI 10.1146/annurev.energy.31.042605.134901 Klare Michael, 2001, RESOURCE WARS NEW LA LANDAU M, 1969, PUBLIC ADMIN REV, V29, P346, DOI 10.2307/973247 Lanier-Graham Susan, 1993, ECOLOGY WAR ENV IMPA Le Billon P, 2001, POLIT GEOGR, V20, P561, DOI 10.1016/S0962-6298(01)00015-4 LEVY MA, 1995, INT SECURITY, V20, P35, DOI 10.2307/2539228 Meir Y., 2004, PROT M MOUNT AQ POLL Meital O., 2007, COMMUNICATION MYERS N, 1989, FOREIGN POLICY, P23, DOI 10.2307/1148850 Myers N., 1993, ULTIMATE SECURITY EN Myers N., 2005, I ENV SECURITY IES W Nagar B., 2006, SUMMARY JWC TECHNICA Nagar B., 2003, COMMUNICATION Nagar B., 2004, PROT M MOUNT AQ POLL Newman A., 2006, COMMUNICATION Regev Z., 2001, COMMUNICATION RENNER M, 2002, 162 WORLDW I Renner M., 2005, SECURITY REDEFINED S, P3 Selby J, 2013, WATER ALTERN, V6, P1 Shoam Y., 2007, COMMUNICATION STARR JR, 1991, FOREIGN POLICY, P17, DOI 10.2307/1148639 Swyngedouw E., 2009, WATER SANITATION SER, P22 Swyngedouw E, 2009, J CONTEMP WAT RES ED, V142, P56, DOI 10.1111/j.1936-704X.2009.00054.x Tagar Z., 2007, THESIS Tal A., 2002, POLLUTION PROMISED L Tal A, 2012, INT J RIVER BASIN MA, V10, P317, DOI 10.1080/15715124.2012.727825 Tal S., 2007, COMMUNICATION Trottier J., 1999, HYDROPOLITICS W BANK UNDP (United Nations Development Programme), 1994, HUM DEV REP NEW DIM UNEP (United Nations Environment Programme), 2003, GROUNDW LEG POL PERS WCED (World Commission on Environmental and Development), 1987, OUR COMMON FUTURE World Bank, 2009, 47657GZ WORLD BANK Yakobovitz, 2007, COMMUNICATION Zeitoun M, 2007, WATER INT, V32, P105, DOI 10.1080/02508060708691968 Zorea E., 2007, COMMUNICATION NR 69 TC 0 Z9 0 U1 2 U2 6 PU TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND SN 0262-6667 EI 2150-3435 J9 HYDROLOG SCI J JI Hydrol. Sci. J.-J. Sci. Hydrol. PY 2016 VL 61 IS 7 BP 1358 EP 1369 DI 10.1080/02626667.2014.993644 PG 12 WC Water Resources SC Water Resources GA DP7RU UT WOS:000378697700018 DA 2019-04-09 ER PT J AU Jin, D DePiper, G Hoagland, P AF Jin, Di DePiper, Geret Hoagland, Porter TI Applying Portfolio Management to Implement Ecosystem-Based Fishery Management (EBFM) SO NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT LA English DT Article ID MODELS AB Portfolio management has been suggested as a tool to help implement ecosystem-based fisheries management. The portfolio approach involves the application of financial portfolio theory to multispecies fishery management to account for species interdependencies, uncertainty, and sustainability constraints. By considering covariance among species, this approach allows economic risks and returns to be calculated across varying combinations of stock sizes. Trade-offs between expected aggregate returns and portfolio risk can thus be assessed. We develop a procedure for constructing portfolio models to help implement ecosystem-based fisheries management in the northeastern United States, using harvest data from the National Marine Fisheries Service. Extending the work of Sanchirico et al. (2008), we propose a measure of excessive risk taking, which may be used by managers to monitor signals of nonoptimal harvests. In addition, we conduct portfolio assessments of historical commercial fishing performance at different accounting stances: the large marine ecosystem, the New England region, and the community (fishing ports). We show that portfolio analysis could inform management at each level. Results of the study suggest that excessive risk taking is associated with overfishing, and risk management is therefore important for ensuring sustainability. C1 [Jin, Di; Hoagland, Porter] Woods Hole Oceanog Inst, Marine Policy Ctr, 266 Woods Hole Rd, Woods Hole, MA 02543 USA. [DePiper, Geret] NOAA, Natl Marine Fisheries Serv, Northeast Fisheries Sci Ctr, 166 Water St, Woods Hole, MA 02543 USA. RP Jin, D (reprint author), Woods Hole Oceanog Inst, Marine Policy Ctr, 266 Woods Hole Rd, Woods Hole, MA 02543 USA. EM djin@whoi.edu OI Hoagland, Porter/0000-0003-0744-4184; , Di/0000-0002-6403-7983 FU National Oceanic and Atmospheric Administration [NA09OAR4320129]; J. Seward Johnson Fund FX This article was prepared under award number NA09OAR4320129 (Cooperative Institute for the North Atlantic Region) from the National Oceanic and Atmospheric Administration and with additional support from the J. Seward Johnson Fund in support of the Woods Hole Oceanographic Institution Marine Policy Center. CR Arkema KK, 2006, FRONT ECOL ENVIRON, V4, P525, DOI 10.1890/1540-9295(2006)4[525:MEMFCT]2.0.CO;2 Bordley R., 2000, DECISIONS EC FINANCE, V23, P53 Brodziak J, 2002, B MAR SCI, V70, P589 Curti KL, 2013, CAN J FISH AQUAT SCI, V70, P470, DOI 10.1139/cjfas-2012-0229 Edwards S., 2005, MAR RESOUR ECON, V20, P61 Edwards S. F., 2001, Marine Resource Economics, V16, P263 Edwards SF, 2004, ECOL ECON, V49, P317, DOI 10.1016/j.ecolecon.2004.04.002 Fogarty MJ, 2014, CAN J FISH AQUAT SCI, V71, P479, DOI 10.1139/cjfas-2013-0203 Gaichas S, 2012, MAR ECOL PROG SER, V459, P275, DOI 10.3354/meps09650 Gamble RJ, 2009, ECOL MODEL, V220, P2570, DOI 10.1016/j.ecolmodel.2009.06.022 GOC (Global Ocean Commission), 2014, DECL REC A RESC PACK Hall SJ, 2004, FISH FISH, V5, P1, DOI 10.1111/j.1467-2960.2004.00133.x Halpern BS, 2011, BIOL CONSERV, V144, P1499, DOI 10.1016/j.biocon.2011.01.019 Hanna SS, 1998, ECOL APPL, V8, pS170, DOI 10.2307/2641376 Hilborn R, 2001, CAN J FISH AQUAT SCI, V58, P99, DOI 10.1139/cjfas-58-1-99 Jacques PJ, 2015, MAR POLICY, V53, P165, DOI 10.1016/j.marpol.2014.11.024 Jin D, 2002, J ENVIRON ECON MANAG, V44, P540, DOI 10.1006/jeem.2001.1213 Leslie HM, 2007, FRONT ECOL ENVIRON, V5, P540, DOI 10.1890/060093 Levin PS, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2013.0275 Link J. S., 2011, 1123 NE FISH SCI CTR Link J, 2009, ECOL MODEL, V220, P351, DOI 10.1016/j.ecolmodel.2008.10.009 Link JS, 2010, PROG OCEANOGR, V87, P214, DOI 10.1016/j.pocean.2010.09.020 Link JS, 2002, FISHERIES, V27, P10, DOI 10.1577/1548-8446(2002)027<0010:ECIFM>2.0.CO;2 Markowitz H, 1952, J FINANC, V7, P77, DOI 10.1111/j.1540-6261.1952.tb01525.x MEYER J, 1987, AM ECON REV, V77, P421 Perruso L., 2005, MARINE RESOURCE EC, V20, P25 Pikitch E. K., 2004, SCIENCE, V305, P264 Pitcher TJ, 2009, MAR POLICY, V33, P223, DOI 10.1016/j.marpol.2008.06.002 Rosenberg A.A., 2005, MAR ECOL PROG SER, V300, P271 Sanchirico JN, 2008, ECOL ECON, V64, P586, DOI 10.1016/j.ecolecon.2007.04.006 Schindler DE, 2010, NATURE, V465, P609, DOI 10.1038/nature09060 Yang M.M., 2011, THESIS NR 32 TC 6 Z9 6 U1 3 U2 11 PU TAYLOR & FRANCIS INC PI PHILADELPHIA PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA SN 0275-5947 EI 1548-8675 J9 N AM J FISH MANAGE JI North Am. J. Fish Manage. PY 2016 VL 36 IS 3 BP 652 EP 669 DI 10.1080/02755947.2016.1146180 PG 18 WC Fisheries SC Fisheries GA DQ0NN UT WOS:000378896400019 DA 2019-04-09 ER PT J AU Chiputwa, B Qaim, M AF Chiputwa, Brian Qaim, Matin TI Sustainability Standards, Gender, and Nutrition among Smallholder Farmers in Uganda SO JOURNAL OF DEVELOPMENT STUDIES LA English DT Article ID FAIR-TRADE; COFFEE CERTIFICATION; COSTA-RICA; IMPACT; FOOD; MARKETS; COUNTRIES; ETHIOPIA; INCOME; EXPENDITURES AB Sustainability standards are gaining in importance in global markets for high-value foods. While previous research has shown that participating farmers in developing countries may benefit through income gains, nutrition impacts have hardly been analysed. We use survey data from smallholder coffee farmers in Uganda - certified under Fairtrade, Organic, and UTZ - to analyse impacts on food security and dietary quality. Estimates of instrumental variable models and simultaneous equation systems show that certification increases calorie and micronutrient consumption, mainly through higher incomes and improved gender equity. In certified households, women have greater control of coffee production and monetary revenues from sales. C1 [Chiputwa, Brian] World Agroforestry Ctr ICRAF, POB 30677, Nairobi 00100, Kenya. [Qaim, Matin] Univ Gottingen, Dept Agr Econ & Rural Dev, D-37073 Gottingen, Germany. RP Chiputwa, B (reprint author), World Agroforestry Ctr ICRAF, POB 30677, Nairobi 00100, Kenya. EM B.Chiputwa@cgiar.org RI Qaim, Matin/P-4489-2016 OI Qaim, Matin/0000-0003-4143-0763 FU German Research Foundation (DFG) FX This research was financially supported by the German Research Foundation (DFG). We thank two anonymous reviewers and the editors of this journal for useful comments. The data used in this research and related details can be made available upon request. CR Arnould EJ, 2009, J PUBLIC POLICY MARK, V28, P186, DOI 10.1509/jppm.28.2.186 Avelino J, 2005, J SCI FOOD AGR, V85, P1869, DOI 10.1002/jsfa.2188 Baffes J, 2006, DEV POLICY REV, V24, P413, DOI 10.1111/j.1467-7679.2006.00332.x Barham BL, 2012, WORLD DEV, V40, P1269, DOI 10.1016/j.worlddev.2011.11.005 Bassett TJ, 2010, GEOFORUM, V41, P44, DOI 10.1016/j.geoforum.2009.03.002 Becchetti L, 2008, WORLD DEV, V36, P823, DOI 10.1016/j.worlddev.2007.05.007 Chege CGK, 2015, WORLD DEV, V72, P394, DOI 10.1016/j.worlddev.2015.03.016 Chiputwa B, 2015, WORLD DEV, V66, P400, DOI 10.1016/j.worlddev.2014.09.006 de Haen H, 2011, FOOD POLICY, V36, P760, DOI 10.1016/j.foodpol.2011.08.003 Di Falco S, 2011, AM J AGR ECON, V93, P825, DOI 10.1093/ajae/aar006 Dragusanu R, 2014, J ECON PERSPECT, V28, P217, DOI 10.1257/jep.28.3.217 Ecker O, 2011, WORLD DEV, V39, P412, DOI 10.1016/j.worlddev.2010.08.002 Fairtrade, 2009, GEN FAIRTR STAND SMA FAO, 2001, HUM EN REQ Fiedler JL, 2012, FOOD NUTR BULL, V33, pS170, DOI 10.1177/15648265120333S205 Fischer E, 2012, FOOD SECUR, V4, P441, DOI 10.1007/s12571-012-0199-7 GAIN, 2015, UG COFF ANN 2015 Henson S, 2010, J DEV STUD, V46, P1628, DOI 10.1080/00220381003706494 HODDINOTT J, 1995, OXFORD B ECON STAT, V57, P77, DOI 10.1111/j.1468-0084.1995.tb00028.x Holzapfel S, 2014, J DEV STUD, V50, P731, DOI 10.1080/00220388.2013.874558 Hotz C., 2012, FOOD COMPOSITION TAB IFPRI, 2015, GLOB NUTR REP 2015 Jena PR, 2012, AGR ECON-BLACKWELL, V43, P429, DOI 10.1111/j.1574-0862.2012.00594.x Jones S, 2011, J DEV STUD, V47, P1595, DOI 10.1080/00220388.2011.579107 Kleemann L, 2014, WORLD DEV, V64, P79, DOI 10.1016/j.worlddev.2014.05.005 Lyon S, 2008, HUM ORGAN, V67, P258, DOI 10.17730/humo.67.3.amh032451h1h5114 Lyon S, 2010, GEOFORUM, V41, P93, DOI 10.1016/j.geoforum.2009.04.006 Maertens M, 2012, J DEV STUD, V48, P1412, DOI 10.1080/00220388.2012.663902 Masset E, 2012, BRIT MED J, V344, DOI 10.1136/bmj.d8222 Mergenthaler M, 2009, FOOD POLICY, V34, P426, DOI 10.1016/j.foodpol.2009.03.009 Narrod C, 2009, FOOD POLICY, V34, P8, DOI 10.1016/j.foodpol.2008.10.005 Njuki J, 2011, EUR J DEV RES, V23, P426, DOI 10.1057/ejdr.2011.8 Quisumbing AR, 2003, OXFORD B ECON STAT, V65, P283, DOI 10.1111/1468-0084.t01-1-00052 Reardon T, 2012, ANNU REV RESOUR ECON, V4, P224, DOI 10.1146/annurev.resource.050708.144147 Roodman D, 2011, STATA J, V11, P159, DOI 10.1177/1536867X1101100202 Ruben R, 2009, IMPACT OF FAIR TRADE, P1, DOI 10.3920/978-90-8686-647-2 Ruben R, 2012, WORLD DEV, V40, P570, DOI 10.1016/j.worlddev.2011.07.030 Ruben R, 2011, SUPPLY CHAIN MANAG, V16, P98, DOI 10.1108/13598541111115356 Ruben R, 2009, DEV PRACT, V19, P777, DOI 10.1080/09614520903027049 Sibhatu KT, 2015, P NATL ACAD SCI USA, V112, P10657, DOI 10.1073/pnas.1510982112 Stein AJ, 2008, SOC SCI MED, V66, P1797, DOI 10.1016/j.socscimed.2008.01.006 Terstappen V, 2013, AGR HUM VALUES, V30, P21, DOI 10.1007/s10460-012-9377-7 Utting-Chamorro K, 2005, DEV PRACT, V15, P584, DOI 10.1080/09614520500075706 UTZ, 2009, UTZ CERT POS PAP GEN von Braun J., 1994, AGR COMMERCIALIZATIO Wollni M, 2007, AGR ECON-BLACKWELL, V37, P243, DOI 10.1111/j.1574-0862.2007.00270.x NR 46 TC 22 Z9 23 U1 3 U2 33 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND SN 0022-0388 EI 1743-9140 J9 J DEV STUD JI J. Dev. Stud. PY 2016 VL 52 IS 9 BP 1241 EP 1257 DI 10.1080/00220388.2016.1156090 PG 17 WC Development Studies; Economics SC Development Studies; Business & Economics GA DO5GB UT WOS:000377810500001 DA 2019-04-09 ER PT J AU Robinson, G Caldwell, GS Jones, CLW Slater, MJ Stead, SM AF Robinson, Georgina Caldwell, Gary S. Jones, Clifford L. W. Slater, Matthew J. Stead, Selina M. TI Redox stratification drives enhanced growth in a deposit-feeding invertebrate: implications for aquaculture bioremediation SO AQUACULTURE ENVIRONMENT INTERACTIONS LA English DT Article DE Sea cucumber; Holothuria scabra; Sandfish; Value-added aquaculture; Recirculating aquaculture; Bioturbation; Compensatory feeding ID JUVENILE SEA-CUCUMBERS; ORGANIC-MATTER; HOLOTHURIA-SCABRA; MARINE-SEDIMENTS; INGESTION RATE; BACTERIA; NITROGEN; ECOLOGY; WATER; MINERALIZATION AB Effective and affordable treatment of waste solids is a key sustainability challenge for the aquaculture industry. Here, we investigated the potential for a deposit-feeding sea cucumber, Holothuria scabra, to provide a remediation service whilst concurrently yielding a high-value secondary product in a land-based recirculating aquaculture system (RAS). The effect of sediment depth, particle size and redox regime were examined in relation to changes in the behaviour, growth and biochemical composition of juvenile sea cucumbers cultured for 81 d in manipulated sediment systems, describing either fully oxic or stratified (oxic-anoxic) redox regimes. The redox regime was the principal factor affecting growth, biochemical composition and behaviour, while substrate depth and particle size did not significantly affect growth rate or biomass production. Animals cultured under fully oxic conditions exhibited negative growth and had higher lipid and carbohydrate contents, potentially due to compensatory feeding in response to higher micro phyto benthic production. In contrast, animals in the stratified treatments spent more time feeding, generated faster growth and produced significantly higher biomass yields (626.89 +/- 35.44 g m(-2) versus 449.22 +/- 14.24 g m(-2); mean +/- SE). Further, unlike in oxic treatments, growth in the stratified treatments did not reach maximum biomass carrying capacity, indicating that stratified sediment is more suitable for culturing sea cucumbers. However, the stratified sediments may exhibit reduced bioremediation ability relative to the oxic sediment, signifying a trade-off between remediation efficiency and exploitable biomass yield. C1 [Robinson, Georgina; Caldwell, Gary S.; Slater, Matthew J.; Stead, Selina M.] Newcastle Univ, Sch Marine Sci & Technol, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England. [Robinson, Georgina; Jones, Clifford L. W.] Rhodes Univ, Dept Ichthyol & Fisheries Sci, ZA-6140 Grahamstown, South Africa. [Slater, Matthew J.] Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Handelshafen 12, D-27570 Bremerhaven, Germany. RP Robinson, G (reprint author), Newcastle Univ, Sch Marine Sci & Technol, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England.; Robinson, G (reprint author), Rhodes Univ, Dept Ichthyol & Fisheries Sci, ZA-6140 Grahamstown, South Africa. EM g.robinson3@ncl.ac.uk OI Slater, Matthew James/0000-0001-8588-544X; CALDWELL, GARY/0000-0001-5687-6894 FU Bio technology and Biological Sciences Research Council (BBSRC) Industrial CASE Studentship [BB/J01141X/1]; THRIP program of the National Research Foundation, South Africa [TP2011070800007]; Biotechnology and Biological Sciences Research Council [1233536] FX This research was funded by a Bio technology and Biological Sciences Research Council (BBSRC) Industrial CASE Studentship to G.R. (Grant Code BB/J01141X/1) with HIK Abalone Farm Pty as the CASE partner, and with additional contributions from the THRIP program of the National Research Foundation, South Africa (Grant Number TP2011070800007). The work was conceptualised and funding was secured by G.R., C.L.W.J., M.J.S. and S.M.S. Experiments were performed by G.R. Data were analysed by G.R. and C.L.W.J., the manuscript was written by G.R. and G.S.C. and edited by M.J.S., C.L.W.J. and S.M.S. CR Alexander M., 1999, BIODEGRADATION BIORE Aller RC, 1998, J MAR RES, V56, P905, DOI 10.1357/002224098321667413 ALLER RC, 1994, CHEM GEOL, V114, P331, DOI 10.1016/0009-2541(94)90062-0 Anderson JM, 1987, DETRITUS MICROBIAL E, P123 AOAC-Association of Official Analytical Chemists, 2010, OFFICIAL METHODS ANA Baskar B.K., 1994, CMFRI (Central Marine Fisheries Research Institute) Bulletin, V46, P39 Battaglene SC, 1999, AQUACULTURE, V178, P293, DOI 10.1016/S0044-8486(99)00130-1 Calow P., 1977, Advances in Ecological Research, V10, P1, DOI 10.1016/S0065-2504(08)60233-0 Cammen LM, 1979, OECOLOGIA, V44, P303, DOI DOI 10.1007/BF00545232 Chavez-Crooker P, 2010, CURR OPIN BIOTECH, V21, P313, DOI 10.1016/j.copbio.2010.04.001 COLLERAN E., 1997, METH BIOTEC, V2, P3 Fenchel T., 1998, BACTERIAL BIOGEOCHEM FERAL JP, 1985, MAR BIOL, V86, P297, DOI 10.1007/BF00397516 Gifford S, 2004, SCI TOTAL ENVIRON, V319, P27, DOI 10.1016/S0048-9697(03)00437-6 GRASSLE JF, 1974, J MAR RES, V32, P253 Herman PMJ, 1999, ADV ECOL RES, V29, P195 Jaeckle WB, 2013, INVERTEBR BIOL, V132, P62, DOI 10.1111/ivb.12009 Jangoux M., 1982, ECHINODERM NUTR Jaubert JM, 2008, ADV CORAL HUSBANDRY, P155 Jeffrey S.W., 1997, MONOGRAPHS OCEANOGRA, P597 Josefson AB, 1998, HYDROBIOLOGIA, V375-76, P297, DOI 10.1023/A:1017077510168 Karlsen A, 2010, BENTHIC USE PHYTOPLA Kim JK, 2013, AQUACULTURE, V414, P210, DOI 10.1016/j.aquaculture.2013.08.008 KRISHNAN S, 1968, MAR BIOL, V2, P54, DOI 10.1007/BF00351639 Kristensen E, 2000, HYDROBIOLOGIA, V426, P1, DOI 10.1023/A:1003980226194 Kristensen E, 1995, LIMNOL OCEANOGR, V40, P1430, DOI 10.4319/lo.1995.40.8.1430 Kristensen E, 2001, Geochem Trans, V2, P92, DOI 10.1186/1467-4866-2-92 Levinton J, 2004, J EXP MAR BIOL ECOL, V300, P65, DOI 10.1016/j.jembe.2003.12.008 LK Raj, 1998, SPC BECHE DE MER INF, V10, P29 LOPEZ GR, 1987, Q REV BIOL, V62, P235, DOI 10.1086/415511 LUDDEN E, 1985, OECOLOGIA, V66, P50, DOI 10.1007/BF00378551 Mercier A, 1999, J EXP MAR BIOL ECOL, V239, P125, DOI 10.1016/S0022-0981(99)00034-9 Mermillod-Blondin F, 2006, AQUAT SCI, V68, P434, DOI 10.1007/s00027-006-0858-x Michio K, 2003, MAR POLLUT BULL, V47, P118, DOI 10.1016/S0025-326X(02)00411-3 MIDDELBURG JJ, 1993, GLOBAL PLANET CHANGE, V8, P47, DOI 10.1016/0921-8181(93)90062-S MORIARTY DJW, 1982, AUST J MAR FRESH RES, V33, P255, DOI 10.1071/MF9820255 Moriarty DJW, 1987, DETRITUS MICROBIAL E, P4 MOSER BK, 1992, AM STAT, V46, P19, DOI 10.2307/2684403 Muradov N, 2014, BIOTECHNOL BIOFUELS, V7, DOI 10.1186/1754-6834-7-30 Palmer PJ, 2010, AQUACULTURE, V306, P369, DOI 10.1016/j.aquaculture.2010.06.011 PHILLIPS NW, 1984, AM NAT, V123, P867, DOI 10.1086/284246 Pitt R., 2001, SPC BECHE DE MER INF, V15, P17 PLANTE CJ, 1990, ANNU REV ECOL SYST, V21, P93, DOI 10.1146/annurev.es.21.110190.000521 Pullin RSV, 1987, DETRITUS MICROBIAL E, P420 Purcell SW, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0095075 Purcell SW, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.3296 Quinn G.P., 2012, EXPT DESIGN DATA ANA Rice D.L., 1989, Lecture Notes on Coastal and Estuarine Studies, V31, P59 Roberts D, 2000, OCEANOGR MAR BIOL, V38, P257 Robinson G, 2013, AQUACULTURE, V392, P23, DOI 10.1016/j.aquaculture.2013.01.036 Schroeder G. L., 1987, DETRITUS MICROBIAL E, P420 SOLORZANO L, 1969, LIMNOL OCEANOGR, V14, P799, DOI 10.4319/lo.1969.14.5.0799 Stahlberg C, 2006, ESTUAR COAST SHELF S, V70, P317, DOI 10.1016/j.ecss.2006.06.022 TAGHON GL, 1984, ECOLOGY, V65, P549, DOI 10.2307/1941417 TAGHON GL, 1981, AM NAT, V118, P202, DOI 10.1086/283815 TENORE KR, 1981, ESTUAR COAST SHELF S, V12, P39, DOI 10.1016/S0302-3524(81)80116-8 TENORE KR, 1982, J MAR RES, V40, P473 Torres-Beristain B, 2006, WATER RES, V40, P1341, DOI 10.1016/j.watres.2006.01.015 Uthicke S, 2001, J EXP MAR BIOL ECOL, V265, P153, DOI 10.1016/S0022-0981(01)00329-X VANDERBORGHT JP, 1975, LIMNOL OCEANOGR, V20, P953, DOI 10.4319/lo.1975.20.6.0953 Watanabe S, 2012, P AS PAC TROP SEA CU, P113 Wolkenhauer SM, 2008, SPC BECHE DE MER INF, V27, P25 Wolkenhauer SM, 2010, J MAR BIOL ASSOC UK, V90, P215, DOI 10.1017/S0025315409990518 YINGST JY, 1976, J EXP MAR BIOL ECOL, V23, P55, DOI 10.1016/0022-0981(76)90085-X Yu W, 2012, EFFECT PLENUM GROWTH Zamora LN, 2011, AQUACULTURE, V317, P223, DOI 10.1016/j.aquaculture.2011.04.011 Zhang XC, 2010, BIOTECHNOL BIOENG, V105, P59, DOI 10.1002/bit.22522 NR 67 TC 7 Z9 7 U1 0 U2 10 PU INTER-RESEARCH PI OLDENDORF LUHE PA NORDBUNTE 23, D-21385 OLDENDORF LUHE, GERMANY SN 1869-215X EI 1869-7534 J9 AQUACULT ENV INTERAC JI Aquac. Environ. Interact. PY 2016 VL 8 BP 1 EP 13 DI 10.3354/aei00158 PG 13 WC Fisheries; Marine & Freshwater Biology SC Fisheries; Marine & Freshwater Biology GA DO2JI UT WOS:000377605600001 OA DOAJ Gold DA 2019-04-09 ER PT J AU Ignatius, J Rahman, A Yazdani, M Saparauskas, J Haron, SH AF Ignatius, Joshua Rahman, Amirah Yazdani, Morteza Saparauskas, Jonas Haron, Syarmila Hany TI AN INTEGRATED FUZZY ANP-QFD APPROACH FOR GREEN BUILDING ASSESSMENT SO JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT LA English DT Article DE MCDM; fuzzy ANP; QFD; green building assessment; performance evaluation ID QUALITY FUNCTION DEPLOYMENT; GROUP DECISION-MAKING; IMPLEMENTATION; FRAMEWORK AB One of the major concerns in the construction industry is the sustainability of building projects. There are various trade-offs between functionality and design, which often lead to an issue of whether sustainably designed buildings would meet stakeholder requirements. This paper provides a novel integrated structure for assessing green buildings realistically based on stakeholders' fuzzy preferences. In particular, the paper uses the analytic network approach (ANP) to evaluate the correlation matrices in a quality function deployment (QFD) framework. A case study on green building index assessment in Malaysia illustrates the proposed integrated method. Sensitivity analysis validated the customer-stakeholder agreement towards the design of the green building. Cluster analysis was also used to group design specifications prior to the analysis. C1 [Ignatius, Joshua; Rahman, Amirah] Univ Sains Malaysia, Sch Math Sci, Minden 11800, Penang, Malaysia. [Yazdani, Morteza] Univ Europea Madrid, Fac Social Sci, Dept Business Management, Madrid 28670, Spain. [Saparauskas, Jonas] Vilnius Gediminas Tech Univ, Dept Construct Technol & Management, Sauletekio Al 11, LT-10223 Vilnius, Lithuania. [Haron, Syarmila Hany] Univ Sains Malaysia, Sch Housing Bldg & Planning, Minden 11800, Penang, Malaysia. RP Saparauskas, J (reprint author), Vilnius Gediminas Tech Univ, Dept Construct Technol & Management, Sauletekio Al 11, LT-10223 Vilnius, Lithuania. EM jonas.saparauskas@vgtu.lt OI yazdani, morteza/0000-0001-5526-8950; Abd Rahman, Siti Amirah/0000-0002-5388-6381 FU Universiti Sains Malaysia [304 / PMATHS / 6313071] FX The first two authors would like to express their gratitude to Universiti Sains Malaysia for supporting this research under short term grant No. 304 / PMATHS / 6313071. CR Akao Y., 2003, International Journal of Quality Reliability Management, V20, P20, DOI 10.1108/02656710310453791 Ali HH, 2009, BUILD ENVIRON, V44, P1053, DOI 10.1016/j.buildenv.2008.07.015 Balachandra P, 2010, ENERG POLICY, V38, P6428, DOI 10.1016/j.enpol.2009.08.013 Behzadian M, 2013, GROUP DECIS NEGOT, V22, P189, DOI 10.1007/s10726-011-9257-3 Bourdeau L., 1999, CIB REPORT PUBLICATI, V237 Buyukozkan G, 2007, COMPUT IND, V58, P392, DOI 10.1016/j.compind.2006.07.002 Buyukozkan G, 2012, INFORM SCIENCES, V206, P30, DOI 10.1016/j.ins.2012.04.010 Chan LK, 2002, EUR J OPER RES, V143, P463, DOI 10.1016/S0377-2217(02)00178-9 Chin K. L., 2005, NEW STRAITS TIM 0125 Chua SC, 2011, RENEW SUST ENERG REV, V15, P2850, DOI 10.1016/j.rser.2011.03.008 Csutora R, 2001, FUZZY SET SYST, V120, P181, DOI 10.1016/S0165-0114(99)00155-4 Darus Z. M., 2009, WSEAS T ENV PROBLEMS, V5, P261 Dixit MK, 2010, ENERG BUILDINGS, V42, P1238, DOI 10.1016/j.enbuild.2010.02.016 Du Plessis C, 2007, CONSTR MANAG ECON, V25, P67, DOI 10.1080/01446190600601313 Ertay T, 2005, J INTELL FUZZY SYST, V16, P221 Hwang BG, 2012, SUSTAIN DEV, V20, P335, DOI 10.1002/sd.492 Ignatius J, 2010, J INTELL FUZZY SYST, V21, P147, DOI 10.3233/IFS-2010-0443 Ignatius J, 2012, INT J INNOV COMPUT I, V8, P3329 Juan YK, 2010, ENERG BUILDINGS, V42, P290, DOI 10.1016/j.enbuild.2009.09.006 Kabak M, 2014, ENERG BUILDINGS, V72, P382, DOI 10.1016/j.enbuild.2013.12.059 Kahraman C, 2006, EUR J OPER RES, V171, P390, DOI 10.1016/j.ejor.2004.09.016 Karsak EE, 2003, COMPUT IND ENG, V44, P171, DOI 10.1016/S0360-8352(02)00191-2 Kwok AG, 2010, BUILD ENVIRON, V45, P18, DOI 10.1016/j.buildenv.2009.02.005 Lee WL, 2008, BUILD ENVIRON, V43, P1882, DOI 10.1016/j.buildenv.2007.11.007 Lin CJ, 2008, EXPERT SYST APPL, V34, P205, DOI 10.1016/j.eswa.2006.08.012 Liu HT, 2010, APPL MATH MODEL, V34, P3333, DOI 10.1016/j.apm.2010.02.024 Lockwood C, 2006, HARVARD BUS REV, V84, P129 Menassa CC, 2014, SUSTAIN CITIES SOC, V10, P207, DOI 10.1016/j.scs.2013.09.002 Motlagh SMH, 2015, INT J ADV MANUF TECH, V76, P1993, DOI 10.1007/s00170-014-6233-5 Murakami S, 2011, BUILD RES INF, V39, P195, DOI 10.1080/09613218.2011.563920 National Energy Research Laboratory (NREL), 2006, NRELTP55037542 US DE Ries R., 2006, Engineering Economist, V51, P259, DOI 10.1080/00137910600865469 Saaty T. L., 1996, DECISION MAKING DEPE SAPARAUSKAS J, 2003, J CIV ENG MANAG, V9, P234, DOI DOI 10.1080/13923730.2003.10531334 Wang WM, 2005, BUILD ENVIRON, V40, P1512, DOI 10.1016/j.buildenv.2004.11.017 Wong WP, 2014, PROD PLAN CONTROL, V25, P273, DOI 10.1080/09537287.2012.674308 Wu WW, 2007, EXPERT SYST APPL, V32, P499, DOI 10.1016/j.eswa.2005.12.005 Yeap JAL, 2014, COMPUT HUM BEHAV, V31, P250, DOI 10.1016/j.chb.2013.10.034 ZADEH LA, 1975, INFORM SCIENCES, V8, P199, DOI 10.1016/0020-0255(75)90036-5 NR 39 TC 18 Z9 18 U1 2 U2 32 PU VILNIUS GEDIMINAS TECH UNIV PI VILNIUS PA SAULETEKIO AL 11, VILNIUS, LT-10223, LITHUANIA SN 1392-3730 EI 1822-3605 J9 J CIV ENG MANAG JI J. Civ. Eng. Manag. PY 2016 VL 22 IS 4 BP 551 EP 563 DI 10.3846/13923730.2015.1120772 PG 13 WC Engineering, Civil SC Engineering GA DK8BG UT WOS:000375151200010 OA Other Gold DA 2019-04-09 ER PT J AU Eltantawy, RA AF Eltantawy, Reham A. TI The role of supply management resilience in attaining ambidexterity: a dynamic capabilities approach SO JOURNAL OF BUSINESS & INDUSTRIAL MARKETING LA English DT Article DE Sustainability; Ambidexterity; Resilience; Capabilities; Supply management ID CHAIN MANAGEMENT; ORGANIZATIONAL AMBIDEXTERITY; COMPETITIVE ADVANTAGE; STRATEGIC MANAGEMENT; CONCEPTUAL-FRAMEWORK; PERFORMANCE; SUSTAINABILITY; PARADOX; EXPLOITATION; ANTECEDENTS AB Purpose - This study aims to explore the necessary role of supply management (SM) resilience capabilities in making effective trade-offs to attain an ambidextrous state, i.e. the state of attaining exploitation and exploration with dexterity, or achieving high levels of both. Sustainability requires effective trade-offs among economic, environmental and social outcomes while maintaining the longevity of the buying firm. Existing literature highlights the difficulty of making effective trade-offs due to likely tensions between divergent demands, i.e. tensions between exploitative and explorative performance goals. Design/methodology/approach - This conceptual study extends insights from the dynamic capabilities approach to explore the nature of SM resilience and its role in attaining ambidexterity. Findings - This study proposes SM resilience as a multifaceted dynamic capability that is determined by two contrasting aspects of stability (engineering and ecological resilience) that aid the buyer's firm to ambidextrously adapt and transform in turbulent environments. Practical implications - The study highlights the competencies and resilience capabilities that managers need to develop and maintain in pursuing an effective balance of exploitation and exploration in SM. Originality/value - The proposed framework extends existing SM sustainability frameworks by examining the nature and dimensionality of resilience and linking it to ambidexterity. The proposed framework provides a platform for the integration of theoretical aspects from various research streams; socio-ecological literature, dynamic capabilities and organizational ambidexterity. C1 [Eltantawy, Reham A.] Univ N Florida, Coggin Coll Business, Mkt & Logist Dept, Jacksonville, FL USA. RP Eltantawy, RA (reprint author), Univ N Florida, Coggin Coll Business, Mkt & Logist Dept, Jacksonville, FL USA. EM reltanta@unf.edu CR Bakshi N, 2009, PROD OPER MANAG, V18, P583, DOI 10.3401/poms.1080.01031 BARNEY J, 1991, J MANAGE, V17, P99, DOI 10.1177/014920639101700108 Barney JB, 2005, RES METHOD STRAT MAN, V2, P1, DOI 10.1016/S1479-8387(05)02001-1 Becker MC, 2005, IND CORP CHANGE, V14, P775, DOI 10.1093/icc/dth071 Benner MJ, 2003, ACAD MANAGE REV, V28, P238, DOI 10.2307/30040711 Bernardes ES, 2010, J SUPPLY CHAIN MANAG, V46, P45, DOI 10.1111/j.1745-493X.2009.03185.x Biggemann S, 2014, J BUS IND MARK, V29, P304, DOI 10.1108/JBIM-08-2013-0161 Blome C, 2013, J SUPPLY CHAIN MANAG, V49, P59, DOI 10.1111/jscm.12033 Braunscheidel MJ, 2009, J OPER MANAG, V27, P119, DOI 10.1016/j.jom.2008.09.006 Bueno-Solano A, 2014, TRANSPORT RES E-LOG, V61, P1, DOI 10.1016/j.tre.2013.09.005 CAMERON KS, 1986, MANAGE SCI, V32, P539, DOI 10.1287/mnsc.32.5.539 Cash D.W., 2013, ECOLOGY SOC, V11, P8 Chandrasekaran A, 2012, J OPER MANAG, V30, P134, DOI 10.1016/j.jom.2011.10.002 Chelariu C, 2014, J BUS IND MARK, V29, P332, DOI 10.1108/JBIM-08-2013-0178 Colin C. J. C., 2013, J BUSINESS IND MARKE, V28, P444 Coutu DL, 2002, HARVARD BUS REV, V80, P100 Craighead CW, 2007, DECISION SCI, V38, P131, DOI 10.1111/j.1540-5915.2007.00151.x Crittenden VL, 2011, J ACAD MARKET SCI, V39, P71, DOI 10.1007/s11747-010-0217-2 Cummings C., 2013, J BUSINESS MANAGEMEN, V19, P19 Datta A., 2011, J MANAGEMENT STRATEG, V2, P2, DOI DOI 10.5430/JMS.V2N4P2 Duncan R. B., 1976, MANAGEMENT ORG DESIG, V1, P167 Eisenhardt KM, 2000, ACAD MANAGE REV, V25, P703, DOI 10.5465/AMR.2000.3707694 Eisenhardt KM, 2000, STRATEGIC MANAGE J, V21, P1105, DOI 10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E Endsley M.R., 2003, HUM FACTORS, V37, P32 Fawcett SE, 2011, J SUPPLY CHAIN MANAG, V47, P38, DOI 10.1111/j.1745-493X.2010.03213.x Gibson CB, 2004, ACAD MANAGE J, V47, P209, DOI 10.2307/20159573 GIUNIPERO LC, 2004, INT J PHYS DISTRIB, V34, P698, DOI DOI 10.1108/09600030410567478 Grant RM, 1996, STRATEGIC MANAGE J, V17, P109, DOI 10.1002/smj.4250171110 Gunderson L. H., 2002, PANARCHY UNDERSTANDI Gupta AK, 2006, ACAD MANAGE J, V49, P693, DOI 10.2307/20159793 Gurler U, 1997, OPER RES, V45, P904, DOI 10.1287/opre.45.6.904 Helfat C. E., 2007, DYNAMIC CAPABILITIES Hendricks KB, 2005, PROD OPER MANAG, V14, P35 Hogevold NM, 2012, J BUS IND MARK, V27, P142, DOI 10.1108/08858621211197001 Holling C.S., 1973, Annual Rev Ecol Syst, V4, P1, DOI 10.1146/annurev.es.04.110173.000245 Holling C. S., 1996, ENG ECOLOGICAL CONST Hunt S. D., 2000, GEN THEORY COMPETITI Jansen JJP, 2006, MANAGE SCI, V52, P1661, DOI 10.1287/mnsc.1060.0576 Jansen Justin J. P., 2005, SCHMALENBACH BUSINES, V57, P351 Jarvis CB, 2003, J CONSUM RES, V30, P199, DOI 10.1086/376806 Joutsenvirta M, 2010, J BUS ETHICS, V91, P379, DOI 10.1007/s10551-009-0089-x Kale P, 2002, STRATEGIC MANAGE J, V23, P747, DOI 10.1002/smj.248 Kang MP, 2009, STRATEGIC MANAGE J, V30, P117, DOI 10.1002/smj.730 Khan O, 2012, SUPPLY CHAIN MANAG, V17, P323, DOI 10.1108/13598541211227144 Knemeyer AM, 2009, J OPER MANAG, V27, P141, DOI 10.1016/j.jom.2008.06.002 Krause DR, 2009, J SUPPLY CHAIN MANAG, V45, P18, DOI 10.1111/j.1745-493X.2009.03173.x Kristal MM, 2010, J OPER MANAG, V28, P415, DOI 10.1016/j.jom.2009.12.002 Law KS, 1998, ACAD MANAGE REV, V23, P741 Lee HL, 2004, HARVARD BUS REV, V82, P102 LEONARDBARTON D, 1992, STRATEGIC MANAGE J, V13, P111, DOI 10.1002/smj.4250131009 LEVINTHAL DA, 1993, STRATEGIC MANAGE J, V14, P95, DOI 10.1002/smj.4250141009 LEVITT B, 1988, ANNU REV SOCIOL, V14, P319, DOI 10.1146/annurev.so.14.080188.001535 Lewis MW, 2000, ACAD MANAGE REV, V25, P760, DOI 10.2307/259204 Limnios EAM, 2014, EUR MANAG J, V32, P104, DOI 10.1016/j.emj.2012.11.007 Low B., J BUSINESS IND MARKE, V25, P468 Mann H., 2010, IUP J OPERATIONS MAN, V9, P52 March JG, 1991, ORGAN SCI, V2, P71, DOI 10.1287/orsc.2.1.71 Martin C., 2004, INT J LOGIST MANAG, V15, P1 Martin C., 2011, SUPPLY CHAIN MANAG, V16, P67 McManus S., 2008, THESIS U CANTERBURY Moeen M, 2013, ORGAN SCI, V24, P262, DOI 10.1287/orsc.1110.0725 Najafi S.T., 2014, INT J OPER PROD MAN, V34, P65 Narasimhan R, 2013, J SUPPLY CHAIN MANAG, V49, P27, DOI 10.1111/jscm.12026 O'Neill R.V., 1986, HIERARCHICAL CONCEPT O'Reilly CA, 2008, RES ORGAN BEHAV, V28, P185, DOI 10.1016/j.riob.2008.06.002 Pagell M, 2009, J SUPPLY CHAIN MANAG, V45, P37, DOI 10.1111/j.1745-493X.2009.03162.x Paulraj A, 2011, J SUPPLY CHAIN MANAG, V47, P19, DOI 10.1111/j.1745-493X.2010.03212.x Pettit TJ, 2010, J BUS LOGIST, V31, P1, DOI 10.1002/j.2158-1592.2010.tb00125.x PIMM SL, 1984, NATURE, V307, P321, DOI 10.1038/307321a0 Priem RL, 2012, J SUPPLY CHAIN MANAG, V48, P7, DOI 10.1111/j.1745-493X.2012.03264.x Priem RL, 2001, ACAD MANAGE REV, V26, P22, DOI 10.5465/AMR.2001.27879279 Pullman ME, 2009, J SUPPLY CHAIN MANAG, V45, P38, DOI 10.1111/j.1745-493X.2009.03175.x Reuter C, 2010, J SUPPLY CHAIN MANAG, V46, P45, DOI 10.1111/j.1745-493X.2010.03189.x Rha J.S., 2013, THESIS U NEBRASKA LI Roth AV, 1995, MANAGE SCI, V41, P1720, DOI 10.1287/mnsc.41.11.1720 SAMPSON AR, 1982, OPER RES, V30, P839, DOI 10.1287/opre.30.5.839 Schreyogg G, 2007, STRATEG MANAGE J, V28, P913, DOI 10.1002/smj.613 Sheffi Y., 2005, RESILIENT ENTERPRISE Simsek Z, 2009, J MANAGE STUD, V46, P597, DOI 10.1111/j.1467-6486.2009.00828.x Smith W.K., 2013, ACAD MANAGE REV, V36, P381 Teece DJ, 1997, STRATEGIC MANAGE J, V18, P509, DOI 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z Tushman M. L., 1997, WINNING INNOVATION P Walker B.H., 1969, ECOLOGY, V69, P473 Walker BH, 2006, ECOL SOC, V11 Wang CL, 2007, INT J MANAG REV, V9, P31, DOI 10.1111/j.1468-2370.2007.00201.x Wieland A, 2013, INT J PHYS DISTR LOG, V43, P300, DOI 10.1108/IJPDLM-08-2012-0243 Winter SG, 2003, STRATEGIC MANAGE J, V24, P991, DOI 10.1002/smj.318 Wu SJ, 2010, DECISION SCI, V41, P721, DOI 10.1111/j.1540-5915.2010.00294.x Zhang ZW, 2007, IEEE T ENG MANAGE, V54, P351, DOI 10.1109/TEM.2007.893989 Zollo M, 2002, ORGAN SCI, V13, P339, DOI 10.1287/orsc.13.3.339.2780 Zsidisin GA, 2010, J BUS LOGIST, V31, P1, DOI 10.1002/j.2158-1592.2010.tb00140.x NR 91 TC 10 Z9 10 U1 3 U2 50 PU EMERALD GROUP PUBLISHING LTD PI BINGLEY PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND SN 0885-8624 EI 2052-1189 J9 J BUS IND MARK JI J. Bus. Ind. Mark. PY 2016 VL 31 IS 1 BP 123 EP 134 DI 10.1108/JBIM-05-2014-0091 PG 12 WC Business SC Business & Economics GA DJ4CW UT WOS:000374154000011 DA 2019-04-09 ER PT J AU Alroe, HF Moller, H Laessoe, J Noe, E AF Alroe, Hugo F. Moller, Henrik Laessoe, Jeppe Noe, Egon TI Opportunities and challenges for multicriteria assessment of food system sustainability SO ECOLOGY AND SOCIETY LA English DT Article DE food systems; multiple perspectives; performance-based vs. values-based approaches; sustainability assessment; sustainability transformation; tool choice ID ASSESSMENT-TOOL; AGRICULTURE AB The focus of the Special Feature on "Multicriteria assessment of food system sustainability" is on the complex challenges of making and communicating overall assessments of food systems sustainability based on multiple and varied criteria. Four papers concern the choice and development of appropriate tools for making multicriteria sustainability assessments that handle built-in methodological conflicts and trade-offs between different assessment objectives. They underscore the value of linking diverse methods and tools, or nesting and stepping their deployment, to help build resilience and sustainability. They conclude that there is no one tool, one framework, or one indicator set that is appropriate for the different purposes and contexts of sustainability assessment. The process of creating the assessment framework also emerges as important: if the key stakeholders are not given a responsible and full role in the development of any assessment tool, it is less likely to be fit for their purpose and they are unlikely to take ownership or have confidence in it. Six other papers reflect on more fundamental considerations of how assessments are based in different scientific perspectives and on the role of values, motivation, and trust in relation to assessments in the development of more sustainable food systems. They recommend a radical break with the tradition of conducting multicriteria assessment from one hegemonic perspective to considering multiple perspectives. Collectively the contributions to this Special Feature identify three main challenges for improved multicriteria assessment of food system sustainability: (i) how to balance different types of knowledge to avoid that the most well-known, precise, or easiest to measure dimensions of sustainability gets the most weight; (ii) how to expose the values in assessment tools and choices to allow evaluation of how they relate to the ethical principles of sustainable food systems, to societal goals, and to the interests of different stakeholders; and (iii) how to enable communication in such a way that the assessments can effectively contribute to the development of more sustainable food systems by facilitating a mutual learning process between researchers and stakeholders. The wider question of how to get from assessment to transformation goes across all three challenges. We strongly recommend future research on the strengths, weaknesses, and complementarities of taking a values-based rather than a performance-based approach to promoting the resilience and sustainability of coupled ecological, economic, and social systems for ensuring food security and agroecosystem health in the coming millennium. C1 [Alroe, Hugo F.; Noe, Egon] Aarhus Univ, Dept Agroecol, DK-8000 Aarhus C, Denmark. [Moller, Henrik] Univ Otago, Ctr Sustainabil CSAFE, Hamilton, New Zealand. [Laessoe, Jeppe] Aarhus Univ, Danish Sch Educ, DK-8000 Aarhus C, Denmark. RP Alroe, HF (reprint author), Aarhus Univ, Dept Agroecol, DK-8000 Aarhus C, Denmark. OI Alroe, Hugo F./0000-0002-6806-6722 FU Danish Government; Organic Research, Development and Demonstration program under the Danish Ministry of Food, Agriculture and Fisheries; International Centre for Research in Organic Food Systems (ICROFS); OECD Co-operative Research Programme; New Zealand Sustainability Dashboard project; New Zealand's Ministry of Business, Innovation Employment [AGRB1201] FX The papers in this Special Feature derive from a workshop entitled "Balancing and communicating overall assessments of food systems," held at the 10th International Farming Systems Symposium (IFSA 2012) " Producing and reproducing farming systems: New modes of organisation for sustainable food systems of tomorrow" 1-4 July 2012 at Aarhus University, Denmark. The workshop was organized by the transdisciplinary research project MultiTrust in collaboration with its international partners. As guest editors we wish to thank the organizers of IFSA 2012 and the participants in the original workshop, and especially the contributing authors and the reviewers from Ecology and Society for their time and efforts in helping to put together this Special Feature. Special tanks are due to Managing Editor Jennifer Miner for support and patience in bringing this Special Feature to its conclusion. We acknowledge the financial support from the Danish Government for the MultiTrust project, "Multicriteria assessment and communication of the effects of organic food systems" (http://www.multitrust.org), including support for the original workshop and parts of the editorial work. We also wish to acknowledge the contributions from the partners in the MultiTrust project, including partners from university departments across the human, social, and natural sciences, farmers associations and advisory services, public regions and municipalities, and private companies. The MultiTrust project ran 2011-2014 with Hugo Alroe as the project leader. It was funded by the Organic Research, Development and Demonstration program under the Danish Ministry of Food, Agriculture and Fisheries; a program that is coordinated by the International Centre for Research in Organic Food Systems (ICROFS). Furthermore, the OECD Co-operative Research Programme granted Hugo Alroe a three month research fellowship in 2011 at the Centre for Sustainability (CSAFE), University of Otago to collaborate with Henrik Moller on developing overall assessments of organic and sustainable agriculture. Henrik Moller's participation was funded by the New Zealand Sustainability Dashboard project (http://www.nzdashboard.org.nz), funded by New Zealand's Ministry of Business, Innovation & Employment (Contract AGRB1201). CR Alroe H. F., 2011, Organic is Life - Knowledge for Tomorrow. Volume 2 - Socio-economy, Livestock, Food Quality, Agro-ecology and Knowledge Dissemination. Proceedings of the Third Scientific Conference of the International Society of Organic Agriculture Research (ISOFAR), held at the 17th IFOAM Organic World Congress in cooperation with the International Federation of Organic Agriculture Movements (IFOAM) and the Korean Organizing Committee (KOC) 28. September - 1. October 2011 in Namyangju, Korea Republic, P313 Alroe H. F., 2014, BUILDING ORGANIC BRI, P191 Alroe HF, 2016, ECOL SOC, V21, DOI 10.5751/ES-08220-210130 Binder CR, 2012, ECOL ECON, V83, P210, DOI 10.1016/j.ecolecon.2012.06.022 Binder CR, 2010, ENVIRON IMPACT ASSES, V30, P71, DOI 10.1016/j.eiar.2009.06.002 Bogetoft P., 1991, PLANNING MULTIPLE CR Bond AJ, 2011, REG STUD, V45, P1157, DOI 10.1080/00343404.2010.485181 Bond AJ, 2011, ENVIRON IMPACT ASSES, V31, P1, DOI 10.1016/j.eiar.2010.01.007 BOSSEL H., 2001, CONSERV ECOL, V5, P12, DOI DOI 10.5751/ES-00332-050212 Darnhofer I, 2010, INT J AGR SUSTAIN, V8, P186, DOI 10.3763/ijas.2010.0480 Ewert F, 2009, ENVIRON SCI POLICY, V12, P546, DOI 10.1016/j.envsci.2009.02.005 FAO (Food and Agriculture Organization of the United Nations), 2009, FEED WORLD 2050 Freyer B, 2014, ECOL SOC, V19, DOI 10.5751/ES-06793-190405 Gasparatos A, 2012, ECOL ECON, V80, P1, DOI 10.1016/j.ecolecon.2012.05.005 Gasparatos A, 2010, J ENVIRON MANAGE, V91, P1613, DOI 10.1016/j.jenvman.2010.03.014 Gregory R, 2000, ENVIRONMENT, V42, P34, DOI 10.1080/00139150009604888 Kastberg P, 2015, ECOL SOC, V20, DOI 10.5751/ES-07139-200103 Laessoe J, 2014, ECOL SOC, V19, DOI 10.5751/ES-06397-190307 LEWIS JD, 1985, SOC FORCES, V63, P967, DOI 10.2307/2578601 Luttikholt LWM, 2007, NJAS-WAGEN J LIFE SC, V54, P347, DOI 10.1016/S1573-5214(07)80008-X Marchand F, 2014, ECOL SOC, V19, DOI 10.5751/ES-06876-190346 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY Moller H., 2015, SUSTAINABLE AGR RES, V4, P158, DOI DOI 10.5539/SAR.V4N3P158 Ness B, 2007, ECOL ECON, V60, P498, DOI 10.1016/j.ecolecon.2006.07.023 Noe E, 2015, AGRON SUSTAIN DEV, V35, P133, DOI 10.1007/s13593-014-0243-4 Peano C, 2014, ECOL SOC, V19, DOI 10.5751/ES-06972-190424 Pope J, 2004, ENVIRON IMPACT ASSES, V24, P595, DOI 10.1016/j.eiar.2004.03.001 Pretty J, 2010, INT J AGR SUSTAIN, V8, P219, DOI 10.3763/ijas.2010.0534 Rittenhofer I, 2015, ECOL SOC, V20, DOI 10.5751/ES-07169-200106 Schader C, 2014, ECOL SOC, V19, DOI 10.5751/ES-06866-190342 Stoeglehner G, 2009, IMPACT ASSESS PROJ A, V27, P111, DOI DOI 10.3152/146155109X438742 Thorsoe MH, 2014, ECOL SOC, V19, DOI 10.5751/ES-06347-190246 Triste L, 2014, ECOL SOC, V19, DOI 10.5751/ES-06789-190347 Vatn A, 2009, ECOL ECON, V68, P2207, DOI 10.1016/j.ecolecon.2009.04.005 Wiek A, 2005, ENVIRON IMPACT ASSES, V25, P589, DOI 10.1016/j.eiar.2004.09.009 NR 35 TC 5 Z9 5 U1 4 U2 43 PU RESILIENCE ALLIANCE PI WOLFVILLE PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA SN 1708-3087 J9 ECOL SOC JI Ecol. Soc. PY 2016 VL 21 IS 1 AR 38 DI 10.5751/ES-08394-210138 PG 8 WC Ecology; Environmental Studies SC Environmental Sciences & Ecology GA DJ1AI UT WOS:000373935100044 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Beers, PJ van Mierlo, B Hoes, AC AF Beers, Pieter J. van Mierlo, Barbara Hoes, Anne-Charlotte TI Toward an Integrative Perspective on Social Learning in System Innovation Initiatives SO ECOLOGY AND SOCIETY LA English DT Article DE Greenhouse growers; innovation; interaction patterns; social learning; sustainability transitions ID SUSTAINABLE DEVELOPMENT; ADAPTIVE COMANAGEMENT; MANAGEMENT; ENVIRONMENTS; NEGOTIATION; TRANSITIONS; WATER AB Sustainability transitions go hand in hand with learning. Theories in the realm of sustainability sciences mostly concentrate on diversity and learning outcomes, whereas theories from the educational sciences mostly focus on learning as an interactive process. In this contribution, we aim to benefit from an integration of these perspectives in order to better understand how different interaction patterns contribute to learning. We studied STAP, an innovation initiative of Dutch greenhouse growers. The Dutch greenhouse sector is predominantly focused on production and efficiency, which causes problems for its future viability. STAP aimed to make the sector more market-oriented while at the same time increasing its societal acceptability (societally responsible innovation). To that end, STAP focused on the development of integrated value chains (primary production, sales, trade) that can contribute to a transition towards a societally sensitive greenhouse sector. As action researchers, we collected extensive transcripts of meetings, interviews, and various other documents. We used an open coding strategy to identify different patterns of interaction and the learning outcomes produced by the initiative. We then linked the interaction patterns to the outcomes. Analysis suggests that seemingly negative attack-and-defend patterns of interaction certainly can result in substantial learning results, while seemingly positive synthetic interaction patterns, where participants strive to build on each other, can result in rather bland interaction without substantial outcomes. The results offer an empirical basis to our approach of linking learning interactions to learning outcomes, and it suggests that learning for sustainability can be enhanced by focusing on interaction patterns. C1 [Beers, Pieter J.] Erasmus Univ, Dutch Res Inst Transit, Rotterdam, Netherlands. [Beers, Pieter J.; van Mierlo, Barbara; Hoes, Anne-Charlotte] Wageningen Univ, Knowledge Technol & Innovat, NL-6700 AP Wageningen, Netherlands. [Hoes, Anne-Charlotte] LEI Wageningen UR, Wageningen, Netherlands. RP Beers, PJ (reprint author), Erasmus Univ, Dutch Res Inst Transit, Rotterdam, Netherlands.; Beers, PJ (reprint author), Wageningen Univ, Knowledge Technol & Innovat, NL-6700 AP Wageningen, Netherlands. OI Beers, Pieter/0000-0001-7028-3980 FU Netherlands Organisation for Scientific Research (NWO) FX This work is part of the research programme Responsible Innovation, which is (partly) financed by the Netherlands Organisation for Scientific Research (NWO). We would like to thank the anonymous reviewers and the subject editor for their comments on this article. CR Argyris C., 1978, ORG LEARNING THEORY Armitage D, 2008, GLOBAL ENVIRON CHANG, V18, P86, DOI 10.1016/j.gloenvcha.2007.07.002 Baker M., 1999, COLLABORATIVE LEARNI, P31 Barron B, 2003, J LEARN SCI, V12, P307, DOI 10.1207/S15327809JLS1203_1 Barrows H. S., 1980, PROBLEM BASED LEARNI Beers PJ, 2008, ETR&D-EDUC TECH RES, V56, P309, DOI 10.1007/s11423-006-9020-7 Beers PJ, 2007, LEARN INSTR, V17, P427, DOI 10.1016/j.learninstruc.2007.04.002 Bouwen R, 2004, J COMMUNITY APPL SOC, V14, P137, DOI 10.1002/casp.777 Bromme R., 2000, PRACTICING INTERDISC, P115 Cundill G, 2010, ECOL SOC, V15 Dewulf A, 2012, J APPL BEHAV SCI, V48, P168, DOI 10.1177/0021886312438858 Dillenbourg P., 1999, COLLABORATIVE LEARNI, V1, P1 Edmondson A, 1999, ADMIN SCI QUART, V44, P350, DOI 10.2307/2666999 Edwards D., 2001, ANAL TALK I SETTINGS, P12 Hofstede G., 2010, CULTURES ORG SOFTWAR Ison R, 2007, ENVIRON SCI POLICY, V10, P499, DOI 10.1016/j.envsci.2007.02.008 Ison R, 2007, ECOL SOC, V12 Ison R, 2013, ECOL ECON, V87, P34, DOI 10.1016/j.ecolecon.2012.12.016 Kirschner P, 2004, ETR&D-EDUC TECH RES, V52, P47, DOI 10.1007/BF02504675 Kouevi Augustin T., 2011, International Journal of Learning and Change, V5, P114, DOI 10.1504/IJLC.2011.044187 Krasny ME, 2010, ENVIRON EDUC RES, V16, P545, DOI 10.1080/13504622.2010.505431 Lave J, 1991, SITUATED LEARNING LE Lee E, 2015, ECOL SOC, V20, DOI 10.5751/ES-07289-200142 Leeuwis C, 2000, DEV CHANGE, V31, P931, DOI 10.1111/1467-7660.00184 Leeuwis C, 2011, J AGRIC EDUC EXT, V17, P21, DOI 10.1080/1389224X.2011.536344 Leys AJ, 2011, REG ENVIRON CHANGE, V11, P175, DOI 10.1007/s10113-010-0132-6 Loorbach D, 2006, ENVIRON POLICY, V44, P187 Mcgregor M. U., 2002, P 24 ANN C COGN SCI, P655 Niessen T., 2008, CULT PSYCHOL, V12, P461 Noroozi O, 2012, EDUC RES REV-NETH, V7, P79, DOI 10.1016/j.edurev.2011.11.006 Pahl-Wostl C, 2006, ECOL SOC, V11 Plummer R, 2008, ADAPTIVE COMANAGEMEN, P38 Prell C, 2010, ECOL SOC, V15 Raven RPJM, 2010, TECHNOVATION, V30, P87, DOI 10.1016/j.technovation.2009.08.006 Raven RP, 2008, B SCI TECHNOL SOC, V28, P464, DOI DOI 10.1177/0270467608317523 Rodela R, 2011, ECOL SOC, V16, DOI 10.5751/ES-04554-160430 Rotmans J, 2009, J IND ECOL, V13, P184, DOI 10.1111/j.1530-9290.2009.00116.x Salomon G, 1998, REV RES EDUC, V23, P1, DOI 10.2307/1167286 Schmidt HG, 2007, EDUC PSYCHOL, V42, P91, DOI 10.1080/00461520701263350 SCHMIDT HG, 1983, MED EDUC, V17, P11, DOI 10.1111/j.1365-2923.1983.tb01086.x Scholz G, 2014, SYST PRACT ACT RES, V27, P575, DOI 10.1007/s11213-013-9310-z Smith B. L., 1992, COLLABORATIVE LEARNI, P10 Sol J, 2013, J CLEAN PROD, V49, P35, DOI 10.1016/j.jclepro.2012.07.041 STRAUSS A., 1987, QUALITATIVE ANAL SOC Sullivan Palincsar A., 1998, ANNU REV PSYCHOL, V49, P345, DOI DOI 10.1146/ANNUREV.PSYCH.49.1.345 Suthers DD, 2001, J UNIVERS COMPUT SCI, V7, P254 Van den Bossche P, 2006, SMALL GR RES, V37, P490, DOI 10.1177/1046496406292938 Van den Bossche P, 2011, INSTR SCI, V39, P283, DOI 10.1007/s11251-010-9128-3 Van Mierlo B., 2010, REFLEXIVE MONITORING van Mierlo B, 2010, AM J EVAL, V31, P143, DOI 10.1177/1098214010366046 van Mierlo B, 2010, TECHNOL FORECAST SOC, V77, P318, DOI 10.1016/j.techfore.2009.08.004 VANDERVELDEN NJA, 2014, 2014025 LEI Veldkamp A, 2009, AGRON SUSTAIN DEV, V29, P87, DOI 10.1051/agro:2008022 Wals A. E. J., 2007, SOCIAL LEARNING SUST Webb N. M., 1989, INT J ED RES, V13, P21, DOI [DOI 10.1016/0883-0355(89)90014-1, 10.1016/0883-0355(89)90014-1] Wenger E, 1998, COMMUNITIES PRACTICE NR 56 TC 12 Z9 12 U1 0 U2 12 PU RESILIENCE ALLIANCE PI WOLFVILLE PA ACADIA UNIV, BIOLOGY DEPT, WOLFVILLE, NS B0P 1X0, CANADA SN 1708-3087 J9 ECOL SOC JI Ecol. Soc. PY 2016 VL 21 IS 1 AR 33 DI 10.5751/ES-08148-210133 PG 12 WC Ecology; Environmental Studies SC Environmental Sciences & Ecology GA DJ1AI UT WOS:000373935100024 OA DOAJ Gold DA 2019-04-09 ER PT J AU Kanda, W Hjelm, O Mejia-Dugand, S AF Kanda, Wisdom Hjelm, Olof Mejia-Dugand, Santiago TI Promoting the export of environmental technologies: An analysis of governmental initiatives from eight countries SO ENVIRONMENTAL DEVELOPMENT LA English DT Article DE Environmental technology; Export promotion; Market failure; Comparative public policy; Technology policy ID ECO-INNOVATION; POLICY; DIFFUSION; PROGRAMS; LESSONS; SERVICE AB Export represents a means for the diffusion of environmental technologies with potential socio-economic and environmental benefits. However, environmental technology providers experience export barriers which stifle export and thus several governments continue to formulate export promotion initiatives towards this sector. Although export promotion is identified as essential in the environmental technology policy literature, it is yet to receive attention as to which initiatives are available in different countries including their potential relevance for environmental sustainability. Such knowledge is fundamental for policy learning and transfer including identification of good practices. To address this knowledge gap, we use market failure and comparative public policy theories to analyse export promotion initiatives from export promotion and export credit agencies across eight countries in Asia, Europe, and North America. Three major conclusions emerge: (1) governmental initiatives to promote environmental technology export can be categorised under financial aid, information provision, education and training, and trade mobility programmes; (2) policy choices regarding promotion initiatives are mediated by the institutional context and interests of policy actors (3) relevant aspects of such initiatives for environmental sustainability include the incorporation of particular environmental technology characteristics in initiative formulation, and the prioritisation between different technology and markets types for implementation. (C)0 2015 Elsevier B.V. All rights reserved. C1 [Kanda, Wisdom; Hjelm, Olof; Mejia-Dugand, Santiago] Linkoping Univ, Dept Management & Engn, Environm Technol & Management, SE-58183 Linkoping, Sweden. RP Kanda, W (reprint author), Linkoping Univ, Dept Management & Engn, Environm Technol & Management, SE-58183 Linkoping, Sweden. EM wisdom.kanda@liu.se OI Mejia-Dugand, Santiago/0000-0002-5858-3267 CR Beltzer C., 2008, EVALUATION SWEDISH E Blyth M., 2009, POLITICAL EC COMP PO, V193 Boons F, 2013, J CLEAN PROD, V45, P1, DOI 10.1016/j.jclepro.2012.08.013 Borooah V. K., 2003, MARKET FAILURE EC AN Calleja I, 2008, J CLEAN PROD, V16, pS181, DOI 10.1016/j.jclepro.2007.10.005 Carrillo-Hermosilla J., 2009, ECOINNOVATION SUSTAI Cetkovic S, 2015, J ENVIRON POL PLAN, V17, P65, DOI 10.1080/1523908X.2014.886505 DEFRA D. T. I., 2002, GLOB ENV MARK UK ENV del Rio Gonzalez P., 2009, J ECOL EC, P861 del Rio P, 2010, J IND ECOL, V14, P541, DOI 10.1111/j.1530-9290.2010.00259.x Dodds A, 2012, COMP PUBLIC POLICY European Commission, 2007, SUPP INT SMES FIN RE, P38 Federal Ministry for the Environment Nature Conservation and Nuclear Safety, 2007, EXP IN REC EFF TECHN Federal Ministry of Economics and Technology, 2002, EN EFF EXP IN SERV P Fillis I., 2002, EUR J MARKETING, P912 Gourevitch P, 1986, POLITICS HARD TIMES Hall Peter A., 1986, GOVERNING EC POLITIC Jaffe AB, 2005, ECOL ECON, V54, P164, DOI 10.1016/j.ecolecon.2004.12.027 JOHANSON J, 1977, J INT BUS STUD, V8, P23, DOI 10.1057/palgrave.jibs.8490676 Kairento K., 2014, EXPORT MUNICIPAL ENV Kanda W, 2015, J CLEAN PROD, V98, P222, DOI 10.1016/j.jclepro.2013.11.013 Kemp R, 2008, J CLEAN PROD, V16, pS14, DOI 10.1016/j.jclepro.2007.10.019 Kijkamp P, 2001, J ENVIRON POL PLAN, V3, P289, DOI DOI 10.1002/JEPP.94 KUMCU E, 1995, J BUS RES, V32, P163, DOI 10.1016/0148-2963(94)00038-G Lederman D, 2010, J DEV ECON, V91, P257, DOI 10.1016/j.jdeveco.2009.09.003 Leonidou LC, 2011, J INT MARKETING, V19, P1, DOI 10.1509/jimk.19.2.1 Lindahl M, 2014, J CLEAN PROD, V64, P288, DOI 10.1016/j.jclepro.2013.07.047 Mejia-Dugand S, 2013, J CLEAN PROD, V50, P82, DOI 10.1016/j.jclepro.2012.11.028 Montalvo C, 2008, J CLEAN PROD, V16, pS1, DOI 10.1016/j.jclepro.2007.10.014 Morelli J., 2013, J ENV SUSTAIN, V1, P2 OECD, 1994, EXP PROM ENV TECHN, P26 OECD, 2009, EC IND EN GREEN GROW Rennings K, 2000, ECOL ECON, V32, P319, DOI 10.1016/S0921-8009(99)00112-3 Rennings K, 2014, ENVIRON INNOV SOC TR, V10, P1, DOI 10.1016/j.eist.2013.12.005 Rose AK, 2007, WORLD ECON, V30, P22, DOI 10.1111/j.1467-9701.2007.00870.x Schubert U., 2005, J ENVIRON POL PLAN, V7, P317 Sitra the Finnish Innovation Fund, 2007, CLEANT FINL IMPR ENV Suzuki M., 2014, J CLEAN PROD Swentec, 2008, SWED STRAT IN PROM E Swentec, 2008, HANDL SVENSK MILJ The Danish Government, 2006, PROM EC TECHN ROADM The Danish Government, 2010, ENV TECHN IMPR ENV G The Danish Government, 2007, DAN SOL GLOB ENV CHA The Swedish Government, 2011, STRAT UTV EXP MILJ 2 U.S. Department of Commerce, 2003, UK ENV TECHN EXP MAR U.S. Department of Commerce and US-AEP, 2002, KOR ENV TECHN EXP MA WWF, 2014, GLOB CLEANT INN IND WWF, 2012, COM CLEAN GLOB CLEAN Yin RK, 2008, CASE STUDY RES DESIG NR 49 TC 4 Z9 4 U1 3 U2 16 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2211-4645 EI 2211-4653 J9 ENVIRON DEV JI Environ. Dev. PD JAN PY 2016 VL 17 BP 73 EP 87 DI 10.1016/j.envdev.2015.09.009 PG 15 WC Environmental Sciences SC Environmental Sciences & Ecology GA DH4YK UT WOS:000372791500008 DA 2019-04-09 ER PT J AU Larsson, H Gronlund, A AF Larsson, Hannu Gronlund, Ake TI Sustainable eGovernance? Practices, problems and beliefs about the future in Swedish eGov practice SO GOVERNMENT INFORMATION QUARTERLY LA English DT Article DE eGovernance; eGov; Sustainability; EGOV4SD; Case study; Governance; Decision making; Infrastructure AB The use of ICTs in the public sector, eGovemance, is understood as a complex phenomenon intricately embedded in a continuously changing environment, including multiple actors with disparate interests. A need for research that takes this complexity into account has been identified, and previous research has suggested employing a sustainability perspective. The use of the sustainability concept in the eGovernance context is an emerging area without a common focus or use of the concept. There is a lack of research with a thorough basis in sustainability theory, and a need for empirical research focusing on sustainable eGovemance. In order to respond to this need the research question of this paper is, How can current eGovernance practice be interpreted from a sustainability perspective? A case study is performed in the context of Swedish eGovemance practice, at national and municipal level. Interviews are used to investigate practitioners' views, which are analyzed by using a framework, developed based on eGovemance literature that highlights sustainability. We find that sustainability in eGovernance practice in this case revolve to a large extent around how actors struggle with achieving continuity and implementing a holistic view of the use of ICT in the public sector. We also highlight the issue of trade-offs between different sustainability dimensions. (c) 2015 Elsevier Inc. All rights reserved. C1 [Larsson, Hannu; Gronlund, Ake] Univ Orebro, Sch Business, Fakultetsgatan 1, S-70182 Orebro, Sweden. RP Larsson, H (reprint author), Univ Orebro, Sch Business, Fakultetsgatan 1, S-70182 Orebro, Sweden. EM hannu.larsson@oru.se; ake.gronlund@oru.se OI Larsson, Hannu/0000-0002-6373-7793 CR Astrom J., 2006, DEMOCRATIC EGOVERNAN, P55 Bannister Frank, 2012, Information Polity, V17, P211, DOI 10.3233/IP-2012-000282 Benaquisto L., 2008, SAGE ENCY QUALITATIV Blewitt J., 2008, UNDERSTANDING SUSTAI Cordella A, 2010, J STRATEGIC INF SYST, V19, P52, DOI 10.1016/j.jsis.2010.01.001 Dawes SS, 2009, GOV INFORM Q, V26, P257, DOI 10.1016/j.giq.2008.12.003 ELKINGTON J, 1994, CALIF MANAGE REV, V36, P90, DOI 10.2307/41165746 Estevez E, 2013, GOV INFORM Q, V30, pS94, DOI 10.1016/j.giq.2012.11.001 Faber N., 2005, J ENV ASSESSMENT POL, V7, P1, DOI DOI 10.1142/S1464333205001955 Given L., 2008, SAGE ENCY QUALITATIV, P868, DOI [10.4135/9781412963909.n451, DOI 10.4135/9781412963909.N451] Government Offices of Sweden, 2008, SWED ACT PLAN E GOV Government Offices of Sweden, 2013, ORG FUT E GOV GOV OF Grisot M, 2014, J ASSOC INF SYST, V15, P197 Harvey L. J., 1994, P IFIP TC8 OP C BUS Henningsson S., 2011, ICIS 2011 P Klischewski R., 2012, IFIP EGOV 2012 P Larsson H, 2014, GOV INFORM Q, V31, P137, DOI 10.1016/j.giq.2013.07.004 Marshall JD, 2005, ENVIRON SCI TECHNOL, V39, P673, DOI 10.1021/es040394k Myers M. D., 2007, Information and Organization, V17, P2, DOI 10.1016/j.infoandorg.2006.11.001 OECD, 2003, E GOV IMP MAIN FIND Ratner BD, 2004, SOCIOL INQ, V74, P50, DOI 10.1111/j.1475-682X.2004.00079.x Schultze U, 2011, INFORM ORGAN-UK, V21, P1, DOI 10.1016/j.infoandorg.2010.11.001 Slaper T. F., 2011, INDIANA BUSINESS REV, V86 WALSHAM G, 1995, EUR J INFORM SYST, V4, P74, DOI 10.1057/ejis.1995.9 Williams P., 2008, SAGE ENCY QUALITATIV, P246 World Commission on Environment and Development (WECD), 1987, OUR COMMON FUTURE NR 26 TC 8 Z9 8 U1 1 U2 10 PU ELSEVIER INC PI SAN DIEGO PA 525 B STREET, STE 1900, SAN DIEGO, CA 92101-4495 USA SN 0740-624X EI 1872-9517 J9 GOV INFORM Q JI Gov. Inf. Q. PD JAN PY 2016 VL 33 IS 1 BP 105 EP 114 DI 10.1016/j.giq.2015.11.002 PG 10 WC Information Science & Library Science SC Information Science & Library Science GA DH4RY UT WOS:000372774300010 DA 2019-04-09 ER PT J AU He, J AF He, Juan TI International Trade Disputes Related to Fishery Products: Time to Engage A Chinese Perspective? SO INTERNATIONAL JOURNAL OF MARINE AND COASTAL LAW LA English DT Article DE Fish trade; fishery ecolabelling; international fishery standards; World Trade Organization; China AB The recent dynamism shown in China's participation in trade-related fishery disputes implies key policy shifts in Chinese fisheries and fish trade policy, which attempt to integrate environmental protection responsibilities more seriously into the overall search for a sustainable marine economy. Presence in the World Trade Organization's tuna and seal products cases, which do not involve tangible trade interests for China, suggests a tentative departure from the trade dominance ideology. It is no coincidence that domestic reform initiatives, such as green and organic fishery labelling schemes, have steadily developed in China. China thus tends to show growing self-motivation, aside from external pressures, to realize sustainable marine development goals. It remains to be seen when it will rightly view universal sustainability obligations from an internationally cooperative and even humanitarian perspective. C1 [He, Juan] Univ Western Australia, Fac Law, Perth, WA 6009, Australia. RP He, J (reprint author), Univ Western Australia, Fac Law, Perth, WA 6009, Australia. EM juan.he2008@gmail.com CR [Anonymous], 1994, UNTS, V1833, P396 [Anonymous], 2016, CBC NEWS [Anonymous], ECONOMIST [Anonymous], CHINA DAILY [Anonymous], HUFF POST [Anonymous], 1947, UNTS, V55, P188 [Anonymous], 2012, 196302011 GBT BOREMAN SM, 1992, NAT RESOUR J, V32, P425 Chan G, 2004, INT RELAT ASIA-PAC, V4, p[47, 54] FAO, 1976, GLOB COMM PROD TRAD Frazier J, 2003, BIOL SEA TURTLES, P26 Funge-Smith S, 2012, REGIONAL OVERVIEW FI, P115 Gao H. S., 2007, LEGAL ISSUES EC INTE, V34, p[369, 391] Greenberg P, TIME SEA CHANGE Harpaz MD, 2010, J WORLD TRADE, V44, p[1155, 1185] He J, 2015, MAR POLICY, V56, p[106, 107] He J, 2015, ASIAN J WTO INT HEAL, V10, p[225, 228] Hu XC, 2006, FISHERIES SCI, V25, p[528, 530] Jahiel AR, 2006, ENVIRON POLIT, V15, p[310, 324] Ji W, 2011, J WORLD TRADE, V45, p[1, 36] Kent A, 2006, AUSTR INT LAW J, V13, P21 Ma X, 2012, CHIN J INT LAW, V11, p[387, 392] Mallory TG, 2013, MAR POLICY, V38, P99, DOI 10.1016/j.marpol.2012.05.024 Mushkat R, 2003, CHIN J INT LAW, V2, p[227, 243] Netherlands Business Support Office Dalian, OV CHIN AQ Ruggie J., 1982, INT ORGAN, V36, p[379, 393] Serdy A, 2002, MELBOURNE J INT LAW, V3, p[79, 6] State Council of China, 1994, CHIN AG 21 WHIT PAP State Council of China, 2012, 12 5 YEAR PLAN NAT M State Oceanic Administration of China, 1996, CHIN OC AG Wang M, 2011, CHINESE FISHERIES EC, V29, p[102, 105] Xue G, 2005, CHINA INT FISHERIES, p[104, 119] Yang W, 2002, TRADE SUSTAINABILITY, P77 Zou K, 2005, CHINAS MARINE LEGAL, P4 NR 34 TC 1 Z9 1 U1 1 U2 7 PU MARTINUS NIJHOFF PUBL PI LEIDEN PA PO BOX 9000, LEIDEN, 2300 PA, NETHERLANDS SN 0927-3522 EI 1571-8085 J9 INT J MAR COAST LAW JI Int. J. Mar. Coast. Law PY 2016 VL 31 IS 1 BP 32 EP 59 DI 10.1163/15718085-12341382 PG 28 WC Law SC Government & Law GA DG2RM UT WOS:000371915400002 DA 2019-04-09 ER PT J AU Karim, MA AF Karim, Mohammad Ataul TI Indian claims over Geographical Indications of Bangladesh: sustainability under intellectual property regime SO QUEEN MARY JOURNAL OF INTELLECTUAL PROPERTY LA English DT Article DE geographical indications; geographical indications of Bangladesh; geographical indications of India; intellectual property; intellectual property rights; intellectual property regime; India-Bangladesh GI dispute; 'Jamdani Saree' of Bangladesh; misleading consumers and unfair competition; TRIPS Agreement; EU Regulations on GIs AB WTO-TRIPS regimes aspire to establish fair and competitive business practice free from unfair competition, trade piracy, misleading consumers with a view to facilitating just and fair dividends to the stakeholders. Bangladesh, as a developing country, needs to reap the benefits from the existing systems. It has huge potentiality with some of its famous foodstuffs, handicrafts and cultural heritage. Although some of its local and indigenous articles are recognized, however they are yet to be protected by the regional and international players. Recent Indian steps to register some reputed foodstuffs and handicrafts of Bangladesh have posed a potential threat to Bangladesh in protecting its legitimate interests. These Indian claims over GIs of Bangladesh are not maintainable under its intellectual property regime. Historical exploration reveals much stronger evidence of the origin of those GIs in some localities that are unquestionably part of Bangladesh. The present-day GI and trade policies strongly advocate restrictions on unfair competition and, thus, recent Indian claims are controversial and questionable in terms of historical origin and legal analysis. The precedents set by the Indian courts place prohibitions on GI piracy of other countries as well. Even under the Indian state, practice in regard to the famous Basmati rice case has proven that the recent attempts to overlook or undermine the issues of legality are not compatible with the country's intellectual property regime. C1 [Karim, Mohammad Ataul] East West Univ, Law, Dhaka, Bangladesh. RP Karim, MA (reprint author), East West Univ, Law, Dhaka, Bangladesh. CR Addor F., 2002, J WORLD INTELLECTUAL, V5, P865, DOI DOI 10.1111/J.1747-1796.2002.TH00185.X [Anonymous], 2007, WIPO MAGAZINE JUL Barsh R. L., 1999, INT J CULTURAL PROPE, V8, p[14, 15] Benerjee R, 2011, J INTELLECTUAL PROPE, V6, P661 Bicskei M, 2012, WIPO J ANAL INTELLEC, V3, P228 Blakeney M, 201209 U W AUSTR FAC, P9 Dange T, 2014, WIPO J ANAL INTELLEC, V5, P139 Dange TW, 2010, J INTELLECTUAL PROPE, V5, P441 Dange WT, 2014, WIPO J ANAL INTELLEC, V5, P143 Dange WT, 2014, WIPO J ANAL INTELLEC, V5, P137 Das CK, 2008, INTELLECTUAL PROPERT, P608 Das CK, 2008, INTELLECTUAL PROPERT, P589 Das K, 2006, J WORLD INTELLECTUAL, V9, P461 Evans G, 2007, EMERGING ISSUES INTE, P271 Evans GE, 2006, J INT ECON LAW, V9, P575, DOI 10.1093/jiel/jgl016 Gangjee DS, 2012, WIPO J ANAL INTELLEC, V4, P94 Ganjee DS, 2012, WIPO J ANAL INTELLEC, V4, P96 Gellman L, 2012, J INTELLECTUAL PROPE, V7, P264 Intellectual Property India, GEOGR IND REG REG GI Islam M. S., 2014, DAILY STAR Islam M. Z., DAILY STAR Islam MT, 2013, TRIPS AGR WTO IMPL C, P92 Islam MT, 2009, SRI LANKA J INT LAW, P21 Josling T, 2006, J AGR ECON, V57, P337, DOI 10.1111/j.1477-9552.2006.00075.x Marie-Vivien D, 2008, J WORLD INTELLECTUAL, V11, P334 Marie-Vivien D, 2008, J WORLD INTELLECT PR, V11, P321, DOI 10.1111/j.1747-1796.2008.00341.x Middlemiss S, 2006, J INTELLECTUAL PROPE, V1, P134 Mukherjee U, STUDY BASMATI CASE I Reza M, BANGLAPEDIA NATL ENC, V5, P372 Reza M, BANGLAPEDIA NATL ENC, V5, P78 Roy S Guha, STEALING BASMATI Shalevicht I, 2008, BUFFALO INTELLECTUAL, V6, P68 Singhal S, 2008, J INTELLECTUAL PROPE, V3, P734 Ullah M, 2002, INTELLECTUAL PROPERT, P61 WIPO, 2004, INT PROP HDB POL LAW, P120 WIPO, GEOGR IND INTR World Intellectual Property Organization (WIPO), WHAT IS GEOGR IND NR 37 TC 2 Z9 2 U1 2 U2 7 PU EDWARD ELGAR PUBLISHING LTD PI CHELTENHAM PA THE LYPIATTS, 15 LANSDOWN RD, CHELTENHAM, GLOS GL50 2JA, ENGLAND SN 2045-9807 EI 2045-9815 J9 QUEEN MARY J INTELLE JI Queen Mary J. Intellect. Prop. PY 2016 VL 6 IS 1 BP 75 EP 91 DI 10.4337/qmjip.2016.01.04 PG 17 WC Law SC Government & Law GA DF5AX UT WOS:000371365300005 DA 2019-04-09 ER PT J AU van den Berg, M Neumann, K van Vuuren, DP Bouwman, AF Kram, T Bakkes, J AF van den Berg, Maurits Neumann, Kathleen van Vuuren, Detlef P. Bouwman, A. F. Kram, Tom Bakkes, Jan TI Exploring resource efficiency for energy, land and phosphorus use: Implications for resource scarcity and the global environment SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS LA English DT Article ID SUPPLY CHAINS; POLICY; FOOD; SUSTAINABILITY; OPTIONS; MODEL AB In this paper, we present four model-based scenarios exploring the potential for resource efficiency for energy, land and phosphorus use, and implications for resource depletion, climate change and biodiversity. The scenarios explored include technological improvements as well as structural changes in production systems and lifestyle changes. Many of such changes have long lead times, requiring up front and timely investments in infrastructure, innovative incentive structures and education. For simulating the scenarios we applied the IMAGE modelling framework, with a time horizon until 2050. Our findings confirm a large potential for more efficient resource use: our (no new policies) baseline scenario shows a global increase, between 2010 and 2050, by 80% of primary energy use, 4% of arable land and 40% of phosphorus fertilisers. These numbers are reduced to +25% (primary energy), -9% (arable land) and +9% (phosphorus) in the global resource efficiency scenario. Baseline developments and resource efficiency opportunities vary strikingly among regions, resources and sectors. Phosphorus use, for example, is expected to increase most on croplands in developing countries, whereas the largest potential for phosphorus use efficiency lies in the livestock sector and urban sewage treatment in industrialised countries. Consequently, while resource efficiency resonates well as a general notion in policy thinking, concrete policies need to be region-specific, resource-specific and sector-specific. Efficiency efforts on one resource tend to contribute to efficient use of other resources and to benefit the environment. There are also trade-offs, however, and the synergies analysed do not make problem specific policies redundant: in 2050, the global resource efficiency scenario presents higher phosphorus use and higher use of fossil fuels than in 2010; greenhouse gas emission targets are met by half; and biodiversity loss slows down but is not halted. Moreover, part of the efficiency gains in land and phosphorus use is sacrificed when this scenario is combined with ambitious climate policy, due to the substantial resource requirements for the deployment of bio-energy albeit much less than in a scenario without more efficient resource use. (C) 2015 Elsevier Ltd. All rights reserved. C1 [van den Berg, Maurits; Neumann, Kathleen; van Vuuren, Detlef P.; Bouwman, A. F.; Kram, Tom; Bakkes, Jan] PBL Netherlands Environm Assessment Agcy, POB 303, NL-3720 AH Bilthoven, Netherlands. [Neumann, Kathleen] Wageningen Univ, Lab Geoinformat Sci & Remote Sensing, POB 47, NL-6700 AA Wageningen, Netherlands. [van Vuuren, Detlef P.] Univ Utrecht, Fac Geosci, Copernicus Inst Sustainable Dev, Postbus 80-115, NL-3508 TC Utrecht, Netherlands. [Bouwman, A. F.] Univ Utrecht, Fac Geosci, Dept Earth Sci Geochem, POB 80-021, NL-3508 TA Utrecht, Netherlands. RP van den Berg, M (reprint author), European Commiss, Joint Res Ctr, Inst Environm & Sustainabil, Monitoring Agr Resources Unit H04, Via Fermi 2749,TP 263, I-21027 Ispra, VA, Italy. EM maurits.van-den-berg@jrc.ec.europa.eu; kathleen.neumann@wur.nl; detlef.vanvuuren@pb.nl; lex.bouwman@pbl.nl; tom.kram@pbl.nl; jan.bakkes@pbl.nl RI Hermans, Kathleen/M-8564-2015; Bouwman, Lex/F-1444-2015 OI Hermans, Kathleen/0000-0002-8475-9019; Bouwman, Lex/0000-0002-2045-1859 FU European Commission [1 ARES (2010) 818226] FX We acknowledge the support of the European Commission for financing the project that formed the basis of this paper (Negotiated Procedure F.1/2010/Ref No1 ARES (2010) 818226), and in particular Mihai Tomescu and his colleagues from DG ENV and DG CLIMA for their constructive comments; the OECD for permission to use the preliminary baseline of the 2012 OECD Environmental Outlook; Wina Crijns-Graus (Utrecht University) for providing access to the raw data of her PhD thesis on energy efficiency, and all PBL colleagues who contributed to this work: Bastien Girod, Sebastiaan Deetman, Jasper van Vliet, Bas van Ruijven and Michel den Elzen (energy efficiency and greenhouse gas emissions calculations), Michel Jeuken and Mark van Oorschot (biodiversity), Kees Klein Goldewijk (land use); Jan de Ruiter (Fig. 1). CR Alcamo J., 1994, IMAGE 2 0 INTEGRATED, P318 Alkemade R, 2009, ECOSYSTEMS, V12, P374, DOI 10.1007/s10021-009-9229-5 Barker T, 2007, ENERG ECON, V29, P760, DOI 10.1016/j.eneco.2006.12.008 Bouwman AF, 2009, GLOBAL BIOGEOCHEM CY, V23, DOI 10.1029/2009GB003576 Bouwman A. F., 2013, P NATL ACAD SCI USA, V110, P20882, DOI DOI 10.1073/PNAS.1012878108 Bouwman A.F., 2006, NETHERLAND ENV ASSES, P228 Bouwman AF, 2005, AGR SYST, V84, P121, DOI 10.1016/j.agsy.2004.05.006 Brown C., 2000, GLOBAL OUTLOOK FUTUR Bruinsma J., 2003, WORLD AGR 2015 2030 Cambridge Econometrics Wuppertal Institute S.E.R.I, 2011, SUST SCEN RES EFF EU, P84 Clarke L., 2014, IPCC 2014 CLIMATE CH Cordell D, 2009, GLOBAL ENVIRON CHANG, V19, P292, DOI 10.1016/j.gloenvcha.2008.10.009 Cullen JM, 2011, ENVIRON SCI TECHNOL, V45, P1711, DOI 10.1021/es102641n Daioglou V, 2012, ENERGY, V37, P601, DOI 10.1016/j.energy.2011.10.044 De Beer J., 1998, POTENTIAL IND ENERGY Den Elzen MGJ, 2010, EVALUATION COPENHAGE Dobbs R., 2011, RES REV M WORLDS EN EC, 2011, RES EFF EUR FLAGSH I Edixhoven JD, 2014, EARTH SYST DYNAM, V5, P491, DOI DOI 10.5194/ESD-5-491-2014 FAO, 2011, SAV GROW POL GUID SU FAO-ISSS-ISRIC, 2006, WORLD AGR 2030 2050, P71 GEA, 2012, GLOB EN ASS SUST FUT Girod B, 2012, ENERG POLICY, V45, P152, DOI 10.1016/j.enpol.2012.02.008 Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Graus W, 2011, ENERG EFFIC, V4, P435, DOI 10.1007/s12053-010-9097-z Hoff H., 2011, BONN 2011 NEX C WAT, P51 IEA, 2009, WORLD EN OUTL 2009 *INT WORK GROUP, 1997, SCEN US CARB RED POT International Assessment of Agricultural Knowledge Science and Technology for Development (IAASTD)., 2009, AGR CROSSR GLOB REP IUCN UNEP, 2006, WORLD DAT PROT AR WD Jacob K., 2014, INDIKATOREN RESSOURC, P52 Jacobson MZ, 2011, ENERG POLICY, V39, P1154, DOI 10.1016/j.enpol.2010.11.040 Kaiser R, 2012, GERMAN RESOURCE EFFI, P124 Kauwenbergh S. J. van, 2013, Better Crops with Plant Food, V97, P18 Koning NBJ, 2008, NJAS-WAGEN J LIFE SC, V55, P229, DOI 10.1016/S1573-5214(08)80001-2 Kriegler E, 2014, CLIMATIC CHANGE, V123, P353, DOI 10.1007/s10584-013-0953-7 McCollum DL, 2011, NAT CLIM CHANGE, V1, P428, DOI 10.1038/nclimate1297 Millennium Ecosystem Assessment [MEA], 2005, EC HUM WELL BEING SY Mohr S.H., 2013, PROJECTIONS FUTURE P Nelson G.C., 2010, FOOD SECURITY FARM C, P115 Nepstad D, 2014, SCIENCE, V344, P1118, DOI 10.1126/science.1248525 Nepstad D, 2013, CARBON MANAG, V4, P639, DOI [10.4155/cmt.13.65, 10.4155/CMT.13.65] Neumann K, 2010, AGR SYST, V103, P316, DOI 10.1016/j.agsy.2010.02.004 OECD, 2012, SUST MAT MAN, P20 OECD, 2011, GREEN GROWTH OECD GR, P144 OECD, 2012, OECD ENV OUTL 2050 C, P350 OECD, 2013, PUTT GREEN GROWTH HE, P192 Polimeni J., 2007, JEVONS PARADOX MYTH Prins A.G., 2011, SCARCITY SEA PLENTY, P85 Roorda C., 2006, INCLUSION PRODUCTION Rose SK, 2014, CLIMATIC CHANGE, V123, P477, DOI 10.1007/s10584-013-0965-3 Royal Society, 2009, REAP BEN SCI SUST IN, P86 Schandl H, 2010, GLOBAL ENVIRON CHANG, V20, P636, DOI 10.1016/j.gloenvcha.2010.06.003 Schmidhuber J., 2009, FAO EXP M FEED WORLD, P21 Scholes RJ, 2005, NATURE, V434, P45, DOI 10.1038/nature03289 Scholz R. W., 2015, EARTH SYST DYN DISCU, V6, P31 Schroder JJ, 2011, CHEMOSPHERE, V84, P822, DOI 10.1016/j.chemosphere.2011.01.065 Smith P, 2010, PHILOS T R SOC B, V365, P2941, DOI 10.1098/rstb.2010.0127 Stehfest E., 2012, IMAGE MODEL SUITE US, P44 Stehfest E, 2013, AGR SYST, V114, P38, DOI 10.1016/j.agsy.2012.07.002 Ten Brink B., 2010, RETHINKING GLOBAL BI, P168 UNEP, 2012, RESP RES MAN SUST WO, P36 United States Geological Survey (USGS), 2011, MIN COMM SUMM Vaccari DA, 2011, CHEMOSPHERE, V84, P792, DOI 10.1016/j.chemosphere.2011.01.052 Van Den Berg M., 2011, EU RESOURCE EFFICIEN van den Bergh JCJM, 2011, ENVIRON RESOUR ECON, V48, P43, DOI 10.1007/s10640-010-9396-z Van Drecht G, 2009, GLOBAL BIOGEOCHEM CY, V23, P19 Van Vuuren DP, 2010, GLOBAL ENVIRON CHANG, V20, P428, DOI 10.1016/j.gloenvcha.2010.04.004 Van Vuuren D.P., 2012, ROADS RIO 20 PATHWAY, P286 van Vuuren DP, 2007, CLIMATIC CHANGE, V81, P119, DOI 10.1007/s10584-006-9172-9 van Vuuren DP, 2015, TECHNOL FORECAST SOC, V98, P303, DOI 10.1016/j.techfore.2015.03.005 van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3 van Vuuren DP, 2010, ENERG ECON, V32, P1105, DOI 10.1016/j.eneco.2010.03.001 van Vuuren DP, 2009, PBL PUBLICATION Westhoek H., 2011, PROTEIN PUZZLE, P218 Willett W.C., 2001, EAT DRINK HLTH HARVA NR 76 TC 7 Z9 7 U1 1 U2 23 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-3780 EI 1872-9495 J9 GLOBAL ENVIRON CHANG JI Glob. Environ. Change-Human Policy Dimens. PD JAN PY 2016 VL 36 BP 21 EP 34 DI 10.1016/j.gloenvcha.2015.09.016 PG 14 WC Environmental Sciences; Environmental Studies; Geography SC Environmental Sciences & Ecology; Geography GA DE9XB UT WOS:000370992100003 DA 2019-04-09 ER PT J AU Jin, MJ Sousa, LD Schwartz, C He, YX Sarks, C Gunawan, C Balan, V Dale, BE AF Jin, Mingjie Sousa, Leonardo da Costa Schwartz, Christopher He, Yuxin Sarks, Cory Gunawan, Christa Balan, Venkatesh Dale, Bruce E. TI Toward lower cost cellulosic biofuel production using ammonia based pretreatment technologies SO GREEN CHEMISTRY LA English DT Article ID SACCHAROMYCES-CEREVISIAE 424A(LNH-ST); CORN STOVER; ETHANOL-PRODUCTION; LIGNOCELLULOSIC BIOMASS; DILUTE-ACID; SIMULTANEOUS SACCHARIFICATION; DECOMPOSITION PRODUCTS; ENZYMATIC-HYDROLYSIS; TRICHODERMA-REESEI; FIBER EXPANSION AB In response to growing concerns about energy security, environmental sustainability and societal sustainability, cellulosic biomass refining technologies have been extensively developed in recent years. However, these technologies are not yet fully commercialized. High capital cost and high enzyme cost are two major bottlenecks. Capital cost and operating cost (excluding 33% feedstock cost) account for 34% and 33%, respectively, of the total biofuel production cost with enzyme cost alone representing about 47% of the operating cost. Therefore, reducing both capital cost and enzyme cost is imperative. Over the past eight years, with the support from US Department of Energy Great Lakes Bioenergy Research Center (GLBRC), we greatly improved our AFEX T (Trade mark of MBI, International (Lansing, Michigan)) (Ammonia Fiber Expansion)-related processing technologies, leading to a 66% reduction in enzyme loading (current enzyme loading is as low as 7.5 mg protein per g glucan) and a 129% enhancement in ethanol volumetric productivity (>56% reduction in capital cost for enzymatic hydrolysis and fermentation). C1 [Jin, Mingjie; Sousa, Leonardo da Costa; Schwartz, Christopher; He, Yuxin; Sarks, Cory; Gunawan, Christa; Balan, Venkatesh; Dale, Bruce E.] Michigan State Univ, Dept Chem Engn & Mat Sci, BCRL, 3815 Technol Blvd, Lansing, MI 48910 USA. [Jin, Mingjie; Sousa, Leonardo da Costa; Schwartz, Christopher; He, Yuxin; Sarks, Cory; Gunawan, Christa; Balan, Venkatesh; Dale, Bruce E.] Michigan State Univ, DOE Great Lakes Bioenergy Res Ctr, E Lansing, MI 48824 USA. RP Jin, MJ; Balan, V; Dale, BE (reprint author), Michigan State Univ, Dept Chem Engn & Mat Sci, BCRL, 3815 Technol Blvd, Lansing, MI 48910 USA.; Jin, MJ; Balan, V; Dale, BE (reprint author), Michigan State Univ, DOE Great Lakes Bioenergy Res Ctr, E Lansing, MI 48824 USA. EM jinmingj@egr.msu.edu; balan@egr.msu.edu; bdale@egr.msu.edu OI da Costa Sousa, Leonardo/0000-0002-2069-8624; Jin, Mingjie/0000-0002-9493-305X FU DOE Great Lakes Bioenergy Research Center (DOE BER Office of Science) [DE-FC02-07ER64494]; MSU Michigan Translational Research and Commercialization Program (MTRAC) FX This work was funded by the DOE Great Lakes Bioenergy Research Center (DOE BER Office of Science DE-FC02-07ER64494) and MSU Michigan Translational Research and Commercialization Program (MTRAC). We would like to thank Novozymes for providing us commercial enzymes for this work, Dr Trey Sato (GLBRC) for providing S. cerevisiae Y128, Charles Donald, Jr and MBI (especially Tim Campbell and Farzaneh Teymouri) for preparing AFEX pretreated corn stover, and Prof. Charles Wyman's group (especially, Dr Rajeev Kumar) at University of California Riverside for providing dilute acid pretreated corn stover. We would also like to thank the members of the Biomass Conversion Research Laboratory (BCRL) at Michigan State University for their valuable suggestions and Devin Schmitt for some initial investigation. CR Agbor VB, 2011, BIOTECHNOL ADV, V29, P675, DOI 10.1016/j.biotechadv.2011.05.005 Balan V, 2009, METHODS MOL BIOL, V581, P61, DOI 10.1007/978-1-60761-214-8_5 Bals BD, 2014, BIOTECHNOL BIOENG, V111, P264, DOI 10.1002/bit.25022 Campbell TJ, 2014, 36 S BIOT FUELS CHEM Chundawat S., 2013, US Pat., Patent No. [2013/0217073 A1, 20130217073] Chundawat S. P. S., 2013, AQUEOUS PRETREATMENT, P169, DOI DOI 10.1002/9780470975831.CH9 Chundawat SPS, 2011, J AM CHEM SOC, V133, P11163, DOI 10.1021/ja2011115 Chundawat SPS, 2011, ENERG ENVIRON SCI, V4, P973, DOI 10.1039/c0ee00574f Chundawat SPS, 2010, BIORESOURCE TECHNOL, V101, P8429, DOI 10.1016/j.biortech.2010.06.027 Culbertson A, 2013, RSC ADV, V3, P25960, DOI 10.1039/c3ra44847a da Costa Sousa L., 2012, 34 S BIOT FUELS CHEM Dale BE, 2010, ENVIRON SCI TECHNOL, V44, P8385, DOI [10.1021/es101864b, 10.1021/es1031618] Du RY, 2012, CELLULOSE, V19, P371, DOI 10.1007/s10570-012-9653-0 Eranki PL, 2011, GCB BIOENERGY, V3, P427, DOI 10.1111/j.1757-1707.2011.01096.x Eriksson T, 2002, APPL BIOCHEM BIOTECH, V101, P41, DOI 10.1385/ABAB:101:1:41 Gao DH, 2013, P NATL ACAD SCI USA, V110, P10922, DOI 10.1073/pnas.1213426110 Gao DH, 2010, BIORESOURCE TECHNOL, V101, P2770, DOI 10.1016/j.biortech.2009.10.056 Geddes CC, 2011, CURR OPIN BIOTECH, V22, P312, DOI 10.1016/j.copbio.2011.04.012 Humpula JF, 2014, BIORESOURCE TECHNOL, V152, P38, DOI 10.1016/j.biortech.2013.10.082 Jin MJ, 2013, BIOTECHNOL BIOFUELS, V6, DOI 10.1186/1754-6834-6-108 Jin MJ, 2013, BIOTECHNOL BIOENG, V110, P1302, DOI 10.1002/bit.24797 Jin MJ, 2012, BIOTECHNOL BIOENG, V109, P1929, DOI 10.1002/bit.24458 Jin MJ, 2012, ENERG ENVIRON SCI, V5, P7168, DOI 10.1039/c2ee03058f Jin MJ, 2012, BIORESOURCE TECHNOL, V111, P294, DOI 10.1016/j.biortech.2012.01.154 Jin MJ, 2012, BIORESOURCE TECHNOL, V110, P587, DOI 10.1016/j.biortech.2012.01.150 Jin MJ, 2011, BIOTECHNOL BIOENG, V108, P1290, DOI 10.1002/bit.23059 Krishnan C, 2010, BIOTECHNOL BIOENG, V107, P441, DOI 10.1002/bit.22824 Kristensen JB, 2009, BIOTECHNOL BIOFUELS, V2, DOI 10.1186/1754-6834-2-11 Lan TQ, 2013, BIORESOURCE TECHNOL, V127, P291, DOI 10.1016/j.biortech.2012.09.111 Lau MW, 2012, ENERG ENVIRON SCI, V5, P7100, DOI 10.1039/c2ee03596k Lau MW, 2009, BIOTECHNOL BIOFUELS, V2, DOI 10.1186/1754-6834-2-30 Lau MW, 2009, P NATL ACAD SCI USA, V106, P1368, DOI 10.1073/pnas.0812364106 Luterbacher JS, 2014, SCIENCE, V343, P277, DOI 10.1126/science.1246748 Lynd LR, 1996, ANNU REV ENERG ENV, V21, P403, DOI 10.1146/annurev.energy.21.1.403 Parreiras LS, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107499 Perlack R. D., 2005, BIOMASS FEEDSTOCK BI Sarks C, 2014, BIOTECHNOL BIOFUELS, V7, DOI 10.1186/1754-6834-7-73 Sousa LD, 2009, CURR OPIN BIOTECH, V20, P339, DOI 10.1016/j.copbio.2009.05.003 Tadesse H, 2011, ENERG ENVIRON SCI, V4, P3913, DOI 10.1039/c0ee00667j Nguyen TY, 2015, CHEMSUSCHEM, V8, P1716, DOI 10.1002/cssc.201403045 Tu MB, 2007, BIOTECHNOL PROGR, V23, P398, DOI 10.1021/bp060354f Uppugundla N, 2014, BIOTECHNOL BIOFUELS, V7, DOI 10.1186/1754-6834-7-72 Wada M, 2004, MACROMOLECULES, V37, P8548, DOI 10.1021/ma0485585 Yang B, 2008, BIOFUEL BIOPROD BIOR, V2, P26, DOI 10.1002/bbb.49 Zhang YHP, 2006, BIOTECHNOL ADV, V24, P452, DOI 10.1016/j.biotechadv.2006.03.003 Zhou W, 2010, BIOTECHNOL BIOENG, V107, P224, DOI 10.1002/bit.22814 NR 46 TC 19 Z9 20 U1 4 U2 35 PU ROYAL SOC CHEMISTRY PI CAMBRIDGE PA THOMAS GRAHAM HOUSE, SCIENCE PARK, MILTON RD, CAMBRIDGE CB4 0WF, CAMBS, ENGLAND SN 1463-9262 EI 1463-9270 J9 GREEN CHEM JI Green Chem. PY 2016 VL 18 IS 4 BP 957 EP 966 DI 10.1039/c5gc02433a PG 10 WC Chemistry, Multidisciplinary; Green & Sustainable Science & Technology SC Chemistry; Science & Technology - Other Topics GA DE4RM UT WOS:000370617600008 DA 2019-04-09 ER PT J AU Ropke, I AF Ropke, Inge TI Complementary system perspectives in ecological macroeconomics - The example of transition investments during the crisis SO ECOLOGICAL ECONOMICS LA English DT Article DE Systems thinking; Ecological macroeconomics; Sustainability transitions; Provision system; Distribution system; Transition investments ID CLIMATE-CHANGE; GROWTH; ECONOMICS; SUSTAINABILITY; TRADE AB Globally, societies are facing a number of interrelated environmental, economic and social crises. This paper is intended to contribute to the development of an ecological macroeconomics that addresses these multiple crises in combination. Insights from different research communities will be included in this effort. Taking an ecological economic understanding of sustainability as the point Of departure, and inspired by systems thinking, it is discussed which economic sub-systems should be in focus for sustainability transitions, and whether relevant guides for sustainability can be formulated for these systems. In particular, the focus is on systems that are decisive for resource consumption and pollution although their influence on these is indirect. A simple typology of sub-systems is suggested and applied in relation to an example that highlights the importance of the interplay between macroeconomic, provision and distribution systems. The example concerns investments in sustainability transitions of provision systems and demonstrates the complexities of implementing such transformations during the economic crisis. It also addresses the need for ecological macroeconomics to develop a third position beyond austerity policies and Keynesian approaches. (C) 2015 Elsevier B.V. All rights reserved. C1 [Ropke, Inge] Aalborg Univ, Dept Dev & Planning, AC Meyers Vaenge 15, DK-2450 Copenhagen Sv, Denmark. RP Ropke, I (reprint author), Aalborg Univ, Dept Dev & Planning, AC Meyers Vaenge 15, DK-2450 Copenhagen Sv, Denmark. EM ir@plan.aau.dk OI Ropke, Inge/0000-0001-6094-8416 FU Velux Foundation [VELUX32901] FX A previous version of this paper was presented at the 10th Biennial Conference of the European Society for Ecological Economics, 18-21 June 2013. I am grateful for the comments from participants at this conference and from my colleagues Susse Georg, John Holten-Andersen, Peter Karnoe, and Emil Urhammer. I also gratefully acknowledge that my work with this paper has been supported by the Velux Foundation (VELUX32901). Finally, I am grateful for elaborate referee comments that helped me improve the paper. CR BERKES F., 2003, NAVIGATING SOCIAL EC Bickerstaff K., 2013, ENERGY JUSTICE CHANG Campbell CJ, 2013, ENVIRON INNOV SOC TR, V9, P13, DOI 10.1016/j.eist.2013.08.004 Campiglio E, 2016, ECOL ECON, V121, P220, DOI 10.1016/j.ecolecon.2015.03.020 Chang H.-J., 2011, 23 THINGS THEY DONT Cohen M.J., 2010, J IND ECOL, V14, P13 Colander D, 2011, REV RADICAL POL ECON, V43, P302, DOI 10.1177/0486613411407712 Colander D, 2009, CRIT REV, V21, P249, DOI 10.1080/08913810902934109 Daly H., 1990, ECOL ECON, V2, P1 Della Croce R., 2011, ROLE PENSION FUNDS F Elzen B., 2004, SYSTEM INNOVATION TR Fontana G, 2016, ECOL ECON, V121, P186, DOI 10.1016/j.ecolecon.2015.03.017 Fontana G, 2013, EUR J ECON ECON POLI, V10, P256, DOI 10.4337/ejeep.2013.02.09 Geels F., 2013, ENV INNOVAT SOC TRAN, V6, P67, DOI DOI 10.1016/J.EIST.2012.11.004 Geels FW, 2007, RES POLICY, V36, P399, DOI 10.1016/j.respol.2007.01.003 Geels FW, 2006, RES POLICY, V35, P1069, DOI 10.1016/j.respol.2006.06.001 Geels FW, 2002, RES POLICY, V31, P1257, DOI 10.1016/S0048-7333(02)00062-8 Haberl H, 2009, GEOGR TIDSSKR-DEN, V109, P119, DOI 10.1080/00167223.2009.10649602 Harris J. M., 2009, 21 CENTURY MACROECON Harris JM, 2013, ADV ECOL ECON, P31 Hughes Thomas P., 1983, NETWORKS POWER Jackson R, 2012, OCCUPY WORLD STREET Jackson T., 2009, PROSPERITY GROWTH EC Jackson T, 2016, ECOL ECON, V121, P206, DOI 10.1016/j.ecolecon.2015.03.019 Jensen JS, 2012, ENVIRON INNOV SOC TR, V4, P51, DOI 10.1016/j.eist.2012.08.002 Jespersen J., 2012, EUROEN HVORFOR GIK G Kallis G., 2012, RISE NEW EXTRACTIVIS Kallis G, 2013, SUSTAINABILITY-BASEL, V5, P1545, DOI 10.3390/su5041545 Kallis G, 2012, ECOL ECON, V84, P172, DOI 10.1016/j.ecolecon.2012.08.017 Kallis G, 2009, CRIT PERSPECT INT BU, V5, P14, DOI 10.1108/17422040910938659 Keen S, 2014, REV KEYNES ECON, V2, P271, DOI 10.4337/roke.2014.03.01 Kennedy C, 2007, J IND ECOL, V11, P43, DOI 10.1162/jie.2007.1107 King M., 2010, 2 BAG LECT BUTT GATH Klein N., 2007, SHOCK DOCTRINE RISE Klimakommissionen, 2010, SUMM WORK RES REC DA Koo Richard C., 2009, HOLY GRAIL MACROECON Krausmann F, 2009, ECOL ECON, V68, P2696, DOI 10.1016/j.ecolecon.2009.05.007 Lund H, 2009, CHOICE AWARENESS REN Mazzucato M., 2011, ENTREPRENEURIAL STAT Meadows D. H., 2008, THINKING SYSTEMS PRI Mirowski Philip, 2014, NEVER LET SERIOUS CR PIKETTY T., 2014, CAPITAL 21 CENTURY Princen T, 2002, CONFRONTING CONSUMPT Randers J., 2012, 2052 GLOBAL FORECAST Rees WE, 2006, ECOL ECON, V59, P220, DOI 10.1016/j.ecolecon.2005.12.021 Rezai A, 2013, ECOL ECON, V85, P69, DOI 10.1016/j.ecolecon.2012.10.008 Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Ropke I, 2005, ECOL ECON, V55, P262, DOI 10.1016/j.ecolecon.2004.10.010 ROPKE I, 1994, ECOL ECON, V9, P13 Ropke I, 2013, ADV ECOL ECON, P48 Ropke I, 2012, RES POLICY, V41, P1631, DOI 10.1016/j.respol.2012.04.002 Schneider F, 2010, J CLEAN PROD, V18, P511, DOI 10.1016/j.jclepro.2010.01.014 Seidl I, 2010, POSTWACHSTUMSGESELLS Silby W., 2011, INNOVATIONS, V6, P3 Skarstein R., 2011, INVESTIG EC, VLXX, P15 Soros G., 1998, CRISIS GLOBAL CAPITA Steward F., 2008, BREAKING BOUNDARIES STIGLITZ J, 2012, PRICE INEQUALITY Stiglitz J. E., 2010, FREEFALL FREE MARKET Taylor L, 2016, ECOL ECON, V121, P196, DOI 10.1016/j.ecolecon.2015.05.015 Urhammer E, 2013, ECOL ECON, V96, P62, DOI 10.1016/j.ecolecon.2013.10.002 van den Bergh JCJM, 2013, ENVIRON INNOV SOC TR, V6, P1, DOI 10.1016/j.eist.2013.01.004 Victor P. A., 2008, MANAGING GROWTH SLOW Wackernagel M., 1996, OUR ECOLOGICAL FOOTP Walker G, 2007, AREA, V39, P458, DOI 10.1111/j.1475-4762.2007.00772.x Weise K., 2012, EUROPAEISKE KRISELOS Wolf M., 2014, SHIFTS SHOCKS WHAT W NR 67 TC 8 Z9 8 U1 2 U2 11 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-8009 EI 1873-6106 J9 ECOL ECON JI Ecol. Econ. PD JAN PY 2016 VL 121 BP 237 EP 245 DI 10.1016/j.ecolecon.2015.03.018 PG 9 WC Ecology; Economics; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology; Business & Economics GA DD1KL UT WOS:000369680500024 DA 2019-04-09 ER PT J AU Dabhilkar, M Bengtsson, L Lakemond, N AF Dabhilkar, Mandar Bengtsson, Lars Lakemond, Nicolette TI Sustainable supply management as a purchasing capability A power and dependence perspective SO INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT LA English DT Article DE Sustainability; Regression analysis; International Purchasing Survey (IPS); Procurement/purchasing/supply management processes; Supply strategy; Survey methods ID CHAIN MANAGEMENT; COMPETITIVE PRIORITIES; DYNAMIC CAPABILITIES; PORTFOLIO APPROACH; TRADE-OFFS; PERFORMANCE; OPERATIONS; FRAMEWORK; ADVANTAGE; RESOURCES AB Purpose - The purpose of this paper is to use the relative power and total interdependence concepts as an intervening theoretical lens to explain why and how sustainable supply management (SSM) initiatives by manufacturing firms differ across the Kraljic matrix according to purchasing capability. Design/methodology/approach - Tested hypotheses by subjecting survey data from 338 manufacturers on buyer-supplier relationships in Europe and North America to regression analysis. Findings - Shows three situations where relative power and total interdependence determine the effectiveness of purchasing capabilities. First, sustainability programs impact supplier compliance in all Kraljic categories but bottleneck items. Second, there are significant trade-offs between lower cost and higher social and environmental supplier compliance for noncritical components. Third, strategic alignment of sustainability objectives between corporate and supply function levels only leads to improved financial performance for strategic components. Research limitations/implications - Further research could take power and dependence into account to explain when and how purchasing capabilities focussed on sustainability can be achieved. Practical implications - Shows how supply strategists could devise-tailored approaches for different purchasing categories with respect to power and dependence when pursuing economic, social and environmental objectives in combination - the triple bottom line - along their supply chains. Originality/value - Illustrates and provides a theoretical explanation for why SSM is a purchasing capability that must vary across purchasing categories defined by different situations of power and dependence. C1 [Dabhilkar, Mandar] Stockholm Univ, Stockholm Business Sch, S-10691 Stockholm, Sweden. [Bengtsson, Lars] Univ Gavle, Gavle, Sweden. [Lakemond, Nicolette] Linkoping Univ, Dept Management & Engn, Linkoping, Sweden. RP Dabhilkar, M (reprint author), Stockholm Univ, Stockholm Business Sch, S-10691 Stockholm, Sweden. EM mandar.dabhilkar@sbs.su.se CR Andersen M, 2009, SUPPLY CHAIN MANAG, V14, P75, DOI 10.1108/13598540910941948 Bacharach S., 1981, POWER POLITICS ORG BARNEY J, 1991, J MANAGE, V17, P99, DOI 10.1177/014920639101700108 Bessant J, 2001, TECHNOVATION, V21, P67, DOI 10.1016/S0166-4972(00)00023-7 Blome C, 2014, INT J OPER PROD MAN, V34, P639, DOI 10.1108/IJOPM-11-2012-0515 Boyer KK, 2002, PROD OPER MANAG, V11, P9 Brammer S, 2011, INT J OPER PROD MAN, V31, P452, DOI 10.1108/01443571111119551 Caniels M. C. J., 2005, J PURCH SUPPLY MANAG, V11, P141, DOI DOI 10.1016/J.PURSUP.2005.10.004 Caniels MCJ, 2007, IND MARKET MANAG, V36, P219, DOI 10.1016/j.indmarman.2005.08.012 Carter CR, 2008, INT J PHYS DISTR LOG, V38, P360, DOI 10.1108/09600030810882816 Dabhilkar M, 2011, J PURCH SUPPLY MANAG, V17, P158, DOI 10.1016/j.pursup.2011.04.002 Doty DH, 1998, ORGAN RES METHODS, V1, P374, DOI 10.1177/109442819814002 Elkington J, 1997, CANNIBALS FORKS TRIP Fabbe-Costes N, 2014, INT J OPER PROD MAN, V34, P664, DOI 10.1108/IJOPM-10-2012-0446 Forza C, 2002, INT J OPER PROD MAN, V22, P152, DOI 10.1108/01443570210414310 Gelderman CJ, 2003, J PURCH SUPPLY MANAG, V9, P207, DOI DOI 10.1016/J.PURSUP.2003.07.001 Geyskens I., 1996, INT J RES MARK, V13, P303, DOI DOI 10.1016/S0167-8116(96)00006-7 GIOVANNI P. D., 2012, INT J OPER PROD MAN, V32, P265, DOI DOI 10.1108/01443571211212574 Gonzalez-Benito J, 2007, J OPER MANAG, V25, P901, DOI 10.1016/j.jom.2007.02.001 Huq FA, 2014, INT J OPER PROD MAN, V34, P610, DOI 10.1108/IJOPM-10-2012-0467 Jeffers PI, 2010, INT J OPER PROD MAN, V30, P260, DOI 10.1108/01443571011024629 Ketokivi M, 2004, INT J OPER PROD MAN, V24, P171, DOI 10.1108/01443570410514876 Knoppen D., 2010, P 17 EUROMA C PORT J Koufteros X, 2012, J SUPPLY CHAIN MANAG, V48, P93, DOI 10.1111/j.1745-493X.2012.03263.x KRALJIC P, 1983, HARVARD BUS REV, V61, P109 Krause DR, 2009, J SUPPLY CHAIN MANAG, V45, P18, DOI 10.1111/j.1745-493X.2009.03173.x Krause DR, 2001, J OPER MANAG, V19, P497, DOI 10.1016/S0272-6963(01)00047-X Makadok R, 2001, STRATEGIC MANAGE J, V22, P387, DOI 10.1002/smj.158 Nunnally J., 1978, PSYCHOMETRIC METHODS Olsen RF, 1997, IND MARKET MANAG, V26, P101, DOI 10.1016/S0019-8501(96)00089-2 Pagell M, 2010, J SUPPLY CHAIN MANAG, V46, P57, DOI 10.1111/j.1745-493X.2009.03186.x Paulraj A, 2011, J SUPPLY CHAIN MANAG, V47, P19, DOI 10.1111/j.1745-493X.2010.03212.x Pfeffer J., 1981, POWER ORG Podsakoff PM, 2003, J APPL PSYCHOL, V88, P879, DOI 10.1037/0021-9101.88.5.879 Prahalad C. K., 1990, HARVARD REV, V68, P79, DOI DOI 10.1016/J.BUSHOR.2010.01.002 Prajogo D, 2014, INT J OPER PROD MAN, V34, P565, DOI 10.1108/IJOPM-10-2012-0448 Pullman ME, 2009, J SUPPLY CHAIN MANAG, V45, P38, DOI 10.1111/j.1745-493X.2009.03175.x Reuter C, 2010, J SUPPLY CHAIN MANAG, V46, P45, DOI 10.1111/j.1745-493X.2010.03189.x Roehrich JK, 2014, INT J OPER PROD MAN, V34, P695, DOI 10.1108/IJOPM-10-2012-0449 Rungtusanatham M, 2008, DECISION SCI, V39, P115, DOI 10.1111/j.1540-5915.2008.00184.x Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 SKINNER W, 1974, HARVARD BUS REV, V52, P113 SKINNER W, 1969, HARVARD BUS REV, V47, P136 Teece DJ, 1997, STRATEGIC MANAGE J, V18, P509, DOI 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z Walker H., 2014, INT J OPER PROD MAN, V34, P5 WCED (World Commission on Environmental and Development), 1987, OUR COMMON FUTURE Wu ZH, 2011, J OPER MANAG, V29, P577, DOI 10.1016/j.jom.2010.10.001 NR 47 TC 21 Z9 21 U1 6 U2 54 PU EMERALD GROUP PUBLISHING LTD PI BINGLEY PA HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND SN 0144-3577 EI 1758-6593 J9 INT J OPER PROD MAN JI Int. J. Oper. Prod. Manage. PY 2016 VL 36 IS 1 BP 2 EP 22 DI 10.1108/IJOPM-12-2014-0609 PG 21 WC Management SC Business & Economics GA DD5XA UT WOS:000369997000001 DA 2019-04-09 ER PT J AU Bravo-Monroy, L Potts, SG Tzanopoulos, J AF Bravo-Monroy, L. Potts, S. G. Tzanopoulos, J. TI Drivers influencing farmer decisions for adopting organic or conventional coffee management practices SO FOOD POLICY LA English DT Article DE Coffee agroecosystems; Social drivers; Crop management adoption; Qualitative and quantitative research; CART analysis ID FAIR TRADE; ECONOMIC SUSTAINABILITY; REGRESSION TREES; COSTA-RICA; LAND-USE; CLASSIFICATION; CERTIFICATION; NICARAGUA; MEXICO; YIELD AB Colombia is one of the world's most important producers of Arabica coffee (Coffea arabica), whose coffee growing zone coincides with a biogeographic hotspot of biodiversity. Given that coffee agroecosystems are grown by both organic and conventional schemes of management in Santander, a region which produces coffees with specialist distinctive flavours, this study aims to better understand the factors that influence the adoption of these different schemes of management. A combination of ethnographic techniques and quantitative methods were used to examine the predominant drivers of adoption and revealed farmer perceptions associated with coffee farming, and the complexity of interacting factors, that surround their decision making. The results of qualitative analysis suggests that social identity of coffee growers, the existence of farming spaces (lived, perceived, rationalised), the influence of coffee institutions, attitudes about management practices, and social relations of production, all play an important role in the process of decision making. In quantitative terms, we identified 18 socioeconomic drivers, some with interacting effects that had significant influence on the decision to adopt either organic or conventional practices. In particular, at local scale, important factors were technology availability, the type of landowner, formal education of farmers, the role of institutions, membership of community organisations, farm size, coffee productivity and the number of coffee plots per farm. Likewise, economic drivers, such as crop profitability, determined how farmers are involved in trade and market networks at broad regional, national, and international spatial scales. By adopting a more integrated approach, combining qualitative and quantitative methodologies, we characterised the complexity of factors that influencing adoption of coffee management schemes and show that not only financial factors but also a variety of other social factors drive farmer decision making. Identifying the most influential behavioural drivers provides policy with opportunities to better support farmer livelihoods. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Bravo-Monroy, L.; Potts, S. G.] Univ Reading, Ctr Agrienvironm Res, Sch Agr Policy & Dev, Reading RG6 6AR, Berks, England. [Tzanopoulos, J.] Univ Kent, Sch Anthropol & Conservat, Canterbury CT2 7NR, Kent, England. RP Bravo-Monroy, L (reprint author), Univ Reading, Ctr Agrienvironm Res, Sch Agr Policy & Dev, Reading RG6 6AR, Berks, England. RI Potts, Simon/C-7250-2008 OI Potts, Simon/0000-0002-2045-980X CR Arnould EJ, 2009, J PUBLIC POLICY MARK, V28, P186, DOI 10.1509/jppm.28.2.186 Arslan A, 2014, AGR ECOSYST ENVIRON, V187, P72, DOI 10.1016/j.agee.2013.08.017 Bacon C, 2005, WORLD DEV, V33, P497, DOI 10.1016/j.worlddev.2004.10.002 Barham BL, 2012, WORLD DEV, V40, P1269, DOI 10.1016/j.worlddev.2011.11.005 Barham BL, 2011, WORLD DEV, V39, P134, DOI 10.1016/j.worlddev.2010.08.005 Beuchelt TD, 2011, ECOL ECON, V70, P1316, DOI 10.1016/j.ecolecon.2011.01.005 Bolwig S, 2009, WORLD DEV, V37, P1094, DOI 10.1016/j.worlddev.2008.09.012 Chaves B, 2001, AGR ECOSYST ENVIRON, V87, P159, DOI 10.1016/S0167-8809(01)00276-6 Cronon William, 1985, CHANGES LAND INDIANS De'ath G, 2000, ECOLOGY, V81, P3178, DOI 10.2307/177409 Eakin H, 2006, GEOGR J, V172, P156, DOI 10.1111/j.1475-4959.2006.00195.x Erenstein O, 2006, AGR SYST, V90, P132, DOI 10.1016/j.agsy.2005.12.005 Farfan V., 2015, AV TEC CENICAFE, V0452 Faure G, 2012, CAH AGRIC, V21, P162, DOI 10.1684/agr.2012.0545 Fernandez-Cornejo J., 2002, ADOPTION BIOENGINEER, pi Ferraro DO, 2009, FIELD CROP RES, V112, P149, DOI 10.1016/j.fcr.2009.02.014 FNC, 2013, OUTST COFF FNC-Federacion Nacional de Cafeteros [Colombian Coffee Growers Federation], 2013, NUESTR CAF Frank E, 2011, GLOBAL ENVIRON CHANG, V21, P66, DOI 10.1016/j.gloenvcha.2010.11.001 Geiger-Oneto S, 2011, J MACROMARKETING, V31, P276, DOI 10.1177/0276146711405668 Guber Rosana, 2001, METODO CAMPO REFLEXI Guhl A, 2008, CAFE CAMBIO PAISAJE Haggar J, 2011, AGROFOREST SYST, V82, P285, DOI 10.1007/s10457-011-9392-5 Hamadou S., 2005, Tropicultura, V23, P29 Handwerker WP, 2002, AM ANTHROPOL, V104, P106, DOI 10.1525/aa.2002.104.1.106 Hatanaka M, 2005, FOOD POLICY, V30, P354, DOI 10.1016/j.foodpol.2005.05.006 ICO, 2013, MONTHL COFF MARK REP ICO-International Coffee Organization, 2013, BOT ASP International Coffee Organization (ICO), 2013, EXP COUNTR TOT PROD Jarvis LS, 2005, WORLD DEV, V33, P1881, DOI 10.1016/j.worlddev.2005.06.003 Kottak CP, 1999, AM ANTHROPOL, V101, P23, DOI 10.1525/aa.1999.101.1.23 Lambin EF, 2003, ANNU REV ENV RESOUR, V28, P205, DOI 10.1146/annurev.energy.28.050302.105459 Lefebvre H., 1991, PRODUCTION SPACE Leve L, 2011, CURR ANTHROPOL, V52, P513, DOI 10.1086/660999 Mazvimavi K, 2009, AGR SYST, V101, P20, DOI 10.1016/j.agsy.2009.02.002 Mendez VE, 2010, RENEW AGR FOOD SYST, V25, P236, DOI 10.1017/S1742170510000268 Munoz L G., 2011, 76 C NAC CAF Munoz L. G., 2012, 77 C NAC CAF 2012 GE Ndiritu SW, 2014, FOOD POLICY, V49, P117, DOI 10.1016/j.foodpol.2014.06.010 Overmars KP, 2005, INT J GEOGR INF SCI, V19, P125, DOI 10.1080/13658810410001713380 Perfecto I, 2005, ECOL ECON, V54, P435, DOI 10.1016/j.ecolecon.2004.10.009 Press M, 2014, J MARKETING, V78, P103, DOI 10.1509/jm.13.0280 Rueda X., 2013, ECOL SOC, P18 STABILE M, 1984, FOOD POLICY, V9, P245, DOI 10.1016/0306-9192(84)90008-3 Steinberg D., 2006, CART 6 0 USERS MANUA Strand K, 2014, J MAT CULT, V19, P355, DOI 10.1177/1359183514552240 Topik S., 2008, FRONTIERS COMMODITY, P37 Valkila J, 2010, J BUS ETHICS, V97, P257, DOI 10.1007/s10551-010-0508-z Valkila J, 2009, ECOL ECON, V68, P3018, DOI 10.1016/j.ecolecon.2009.07.002 Van der Vossen HAM, 2005, EXP AGR, V41, P449, DOI 10.1017/S0014479705002863 Weber JG, 2011, FOOD POLICY, V36, P678, DOI 10.1016/j.foodpol.2011.05.007 Williams MM, 2009, FIELD CROP RES, V113, P161, DOI 10.1016/j.fcr.2009.05.005 Wollni M, 2014, ECOL ECON, V97, P120, DOI 10.1016/j.ecolecon.2013.11.010 Wollni M, 2012, FOOD POLICY, V37, P67, DOI 10.1016/j.foodpol.2011.11.004 World Bank, 2009, DES SURV DES HOUS SU York R, 2012, SOC SCI RES, V41, P1379, DOI 10.1016/j.ssresearch.2012.05.014 Zheng HF, 2009, AGR ECOSYST ENVIRON, V132, P98, DOI 10.1016/j.agee.2009.03.004 NR 57 TC 9 Z9 10 U1 3 U2 102 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0306-9192 EI 1873-5657 J9 FOOD POLICY JI Food Policy PD JAN PY 2016 VL 58 BP 49 EP 61 DI 10.1016/j.foodpol.2015.11.003 PG 13 WC Agricultural Economics & Policy; Economics; Food Science & Technology; Nutrition & Dietetics SC Agriculture; Business & Economics; Food Science & Technology; Nutrition & Dietetics GA DC4TF UT WOS:000369212500005 DA 2019-04-09 ER PT J AU Dalin, C Conway, D AF Dalin, Carole Conway, Declan TI Water resources transfers through southern African food trade: water efficiency and climate signals SO ENVIRONMENTAL RESEARCH LETTERS LA English DT Article DE southern Africa; water resources; trade; climate; food ID HISTORICAL CHANGES; VARIABILITY; SECURITY; RAINFALL; IMPACTS; GROWTH AB Temporal and spatial variability of precipitation in southern Africa is particularly high. The associated drought and flood risks, combined with a largely rain-fed agriculture, pose a challenge for water and food security in the region. As regional collaboration strengthens through the Southern Africa Development Community and trade with other regions increases, it is thus important to understand both how climate variability affects agricultural productivity and how food trade (regional and extra-regional) can contribute to the region's capacity to deal with climate-related shocks. We combine global hydrological model simulations with international food trade data to quantify the water resources embedded in international food trade in southern Africa and with the rest of the world, from 1986-2011. We analyze the impacts of socio-economic changes and climatic variability on agricultural trade and embedded water resources during this period. We find that regional food trade is efficient in terms of water use but may be unsustainable because water-productive exporters, like South Africa, rely on increasingly stressed water resources. The role of imports from the rest of the world in the region's food supply is important, in particular during severe droughts. This reflects how trade can efficiently redistribute water resources across continents in response to a sudden gap in food production. In a context of regional and global integration, our results highlight opportunities for improved water-efficiency and sustainability of the region's food supply via trade. C1 [Dalin, Carole; Conway, Declan] London Sch Econ, Grantham Res Inst Climate Change & Environm, London WC2A 2AE, England. RP Dalin, C (reprint author), London Sch Econ, Grantham Res Inst Climate Change & Environm, London WC2A 2AE, England. EM c.a.dalin@lse.ac.uk OI Conway, Declan/0000-0002-4590-6733 FU Belmont Forum (SAHEWS project NERC) [NE/L008785/1]; Economic and Social Research Council (ESRC) through Centre for Climate Change Economics and Policy (CCEP); Economic and Social Research Council [ES/K006576/1]; Natural Environment Research Council [NE/L008785/1, NE/L008785/2] FX The authors gratefully acknowledge the funding support of the Belmont Forum (SAHEWS project NERC grant number NE/L008785/1) and the Economic and Social Research Council (ESRC) through the Centre for Climate Change Economics and Policy (CCEP). The authors also thank Naota Hanasaki for his help with the hydrological estimates. CR Barrios S, 2010, REV ECON STAT, V92, P350, DOI 10.1162/rest.2010.11212 Brown C, 2013, PHILOS T R SOC A, V371, DOI 10.1098/rsta.2012.0416 Cervigni R., 2015, ENHANCING CLIMATE RE Conway D, 2009, J HYDROMETEOROL, V10, P59 Conway D, 2015, NAT CLIM CHANGE, V5, P837, DOI [10.1038/nclimate2735, 10.1038/NCLIMATE2735] CPWF, 2003, LIMP BAS PROF STRAT Dabrowski JM, 2009, HYDROL EARTH SYST SC, V13, P1967, DOI 10.5194/hess-13-1967-2009 Dalin C, 2012, P NATL ACAD SCI USA, V109, P5989, DOI 10.1073/pnas.1203176109 Dorosh PA, 2001, WORLD DEV, V29, P673, DOI 10.1016/S0305-750X(00)00121-2 Dorosh PA, 2009, FOOD POLICY, V34, P350, DOI 10.1016/j.foodpol.2009.02.001 Earle A, 2001, 33 SOAS U LOND WAT I Earle A, 2002, RES REPORT SERIES IH, V12 Edwards L, 2005, S AFRICAS EXPORT PER Engel J, 2013, HIST IMPACT POLITICA Frenken K., 2005, FAO WATER REPORTS, V29 Hanasaki N, 2008, HYDROL EARTH SYST SC, V12, P1027, DOI 10.5194/hess-12-1027-2008 Hanasaki N, 2015, ESTIMATING IN PRESS Hulme M, 1996, S AFR J SCI, V92 Iizumi T, 2014, GLOBAL ECOL BIOGEOGR, V23, P346, DOI 10.1111/geb.12120 Krzywinski M, 2009, GENOME RES, V19, P1639, DOI 10.1101/gr.092759.109 Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420 Nicholson SE, 1997, INT J CLIMATOL, V17, P117, DOI 10.1002/(SICI)1097-0088(199702)17:2<117::AID-JOC84>3.0.CO;2-O Ondiege P, 2013, DEV AFRICAS INFRASTR PALMER WC, 1965, 45 US DEP COMM WEATH Pauw K, 2011, ENVIRON DEV ECON, V16, P177, DOI 10.1017/S1355770X10000471 Portmann FT, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2008GB003435 Ramankutty N, 1999, GLOBAL BIOGEOCHEM CY, V13, P997, DOI 10.1029/1999GB900046 Rouault M, 2005, GEOPHYS RES LETT, V32, DOI 10.1029/2005GL022436 Sacks WJ, 2010, GLOBAL ECOL BIOGEOGR, V19, P607, DOI 10.1111/j.1466-8238.2010.00551.x SADC, 2012, REG INFR DEV MAST PL SADC, 2005, SADC PROT TRAD 2005 Schmidhuber J, 2007, P NATL ACAD SCI USA, V104, P19703, DOI 10.1073/pnas.0701976104 Sheffield J, 2006, J CLIMATE, V19, P3088, DOI 10.1175/JCLI3790.1 Thurlow J, 2012, REV DEV ECON, V16, P394, DOI 10.1111/j.1467-9361.2012.00670.x Troy TJ, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/5/054013 Tschirley DL, 2010, WORLD DEV, V38, P76, DOI 10.1016/j.worlddev.2009.09.008 Usman MT, 2004, CLIM RES, V26, P199, DOI 10.3354/cr026199 WILLMOTT CJ, 1994, INT J CLIMATOL, V14, P403, DOI 10.1002/joc.3370140405 Zhu TJ, 2012, WATER-SUI, V4, P63, DOI 10.3390/w4010063 NR 39 TC 5 Z9 5 U1 0 U2 19 PU IOP PUBLISHING LTD PI BRISTOL PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND SN 1748-9326 J9 ENVIRON RES LETT JI Environ. Res. Lett. PD JAN PY 2016 VL 11 IS 1 AR 015005 DI 10.1088/1748-9326/11/1/015005 PG 12 WC Environmental Sciences; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences GA DB8YT UT WOS:000368803800022 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Poulsen, RT Ponte, S Lister, J AF Poulsen, Rene Taudal Ponte, Stefano Lister, Jane TI Buyer-driven greening? Cargo-owners and environmental upgrading in maritime shipping SO GEOFORUM LA English DT Article DE Environmental upgrading; Global value chains; Sustainability; Corporate environmental responsibility; Maritime shipping ID GLOBAL VALUE CHAINS; PRODUCTION NETWORKS; INTERNATIONAL-TRADE; COMMODITY CHAIN; GOVERNANCE; EMISSIONS; GLOBALIZATION; LOGISTICS; SUPPLIERS; STANDARDS AB \ In this article, we examine the relations between global value chain governance and environmental upgrading in maritime shipping. Drawing from interviews with global shipping companies and major buyers of shipping services (cargo-owners), we reveal the key issues and challenges faced in improving the environmental performance of maritime transportation. Contributing to the Global Value Chain (GVC) literature, we compare and analyze the influence of three main external drivers on environmental upgrading in the tanker, bulk and container shipping segments: regulation, cooperation and buyer demands. Our findings suggest that environmental upgrading is more likely to occur when global value chains are characterized by unipolar governance and where the lead firms are consumer-facing companies with reputational risks. Furthermore, environmental upgrading in shipping is not likely to materialize without clear and enforceable global regulation and stronger alignment between regulation and voluntary sustainability initiatives. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Poulsen, Rene Taudal] Copenhagen Business Sch, Dept Innovat & Org Econ, Kilevej 14A, DK-2000 Copenhagen, Denmark. [Ponte, Stefano] Copenhagen Business Sch, Dept Business & Polit, Steen Blichersvej 22, DK-2000 Copenhagen, Denmark. [Lister, Jane] Univ British Columbia, Liu Inst Global Issues, 6476 NW Marine Dr, Vancouver, BC V6T 1Z2, Canada. RP Poulsen, RT (reprint author), Copenhagen Business Sch, Dept Innovat & Org Econ, Kilevej 14A, DK-2000 Copenhagen, Denmark. EM rtp.ino@cbs.dk; sp.dbp@cbs.dk; jlister@mail.ubc.ca OI Poulsen, Rene Taudal/0000-0002-4575-3204 FU Danish Maritime Fund [2011-85] FX The authors would like to thank the Danish Maritime Fund for funding (2011-85). CR Acciaro M., 2013, J SHIPP OCEAN ENG, V3, P1 Alphaliner, 2014, ALPH TOP 100 OP FLEE Anderson K, 2012, CARBON MANAG, V3, P615, DOI [10.4155/cmt.12.63, 10.4155/CMT.12.63] Asariotis R., 2013, REV MARITIME TRANSPO Bair Jennifer, 2009, FRONTIERS COMMODITY Barrientos S., 2010, 201003 CAPT GAINS Barrientos S, 2013, GEOFORUM, V44, P44, DOI 10.1016/j.geoforum.2012.06.012 Barrientos S, 2011, INT LABOUR REV, V150, P319, DOI 10.1111/j.1564-913X.2011.00119.x Barrientos SW, 2013, J DEV STUD, V49, P1058, DOI 10.1080/00220388.2013.780040 Bax N, 2003, MAR POLICY, V27, P313, DOI 10.1016/S0308-597X(03)00041-1 Bolumole Y., 2001, INT J LOGIST MANAG, V12, P87, DOI DOI 10.1108/09574090110806316 Bolwig S, 2010, DEV POLICY REV, V28, P173, DOI 10.1111/j.1467-7679.2010.00480.x Briski E, 2012, BIOL INVASIONS, V14, P1843, DOI 10.1007/s10530-012-0194-0 Buhaug O., 2009, 2 IMO GHG STUDY Burgherr P, 2007, J HAZARD MATER, V140, P245, DOI 10.1016/j.jhazmat.2006.07.030 Cattaneo C., 2013, WORLD BANK POLICY RE Cattaneo O, 2010, GLOBAL VALUE CHAINS IN A POSTCRISIS WORLD: A DEVELOPMENT PERSPECTIVE, P1, DOI 10.1596/978-0-8213-8499-2 Cattaneo O, 2010, GLOBAL VALUE CHAINS IN A POSTCRISIS WORLD: A DEVELOPMENT PERSPECTIVE, P3 Chan FT, 2013, BIOL INVASIONS, V15, P295, DOI 10.1007/s10530-012-0284-z Coady L., 2013, ROLE CORPORATE SOCIA Coe N. M., 2015, GLOBAL PRODUCTION NE Coe NM, 2014, REV INT POLIT ECON, V21, P224, DOI 10.1080/09692290.2013.766230 Coe NM, 2013, GEOFORUM, V44, P4, DOI 10.1016/j.geoforum.2012.08.003 Corbett JJ, 2007, ENVIRON SCI TECHNOL, V41, P8512, DOI 10.1021/es071686z Dauvergne P., 2013, ECOBUSINESS BIG BRAN De Marchi V, 2013, COMPET CHANG, V17, P299, DOI 10.1179/1024529413Z.00000000040 De Marchi V, 2013, BUS STRATEG ENVIRON, V22, P62, DOI 10.1002/bse.1738 DiBacco C, 2012, ICES J MAR SCI, V69, P483, DOI 10.1093/icesjms/fsr133 Dicken P., 2011, GLOBAL SHIFT MAPPING Eide MS, 2011, MARIT POLICY MANAG, V38, P11, DOI 10.1080/03088839.2010.533711 EIO, 2013, ET GLOB 800 2013 CAR Faber J., 2011, 62 MEPC Farrag A., 2010, SUSTAINABILITY TREND Fold N., 2002, Journal of Agrarian Change, V2, P228, DOI 10.1111/1471-0366.00032 Gereffi G, 1999, J INT ECON, V48, P37, DOI 10.1016/S0022-1996(98)00075-0 Gereffi G., 1994, COMMODITY CHAINS GLO Gereffi G, 2016, J BUS ETHICS, V133, P25, DOI 10.1007/s10551-014-2373-7 Gereffi G, 2014, REV INT POLIT ECON, V21, P9, DOI 10.1080/09692290.2012.756414 Gibbon P, 2001, WORLD DEV, V29, P345, DOI 10.1016/S0305-750X(00)00093-0 Gibbon P., 2005, TRADING AFRICA VALUE Gibbon P, 2008, ECON SOC, V37, P315, DOI 10.1080/03085140802172656 Giuliani E, 2005, WORLD DEV, V33, P549, DOI 10.1016/j.worlddev.2005.01.002 Goger A, 2013, GEOFORUM, V47, P73, DOI 10.1016/j.geoforum.2013.03.006 Gratsos G. A., 2012, BLACKWELL COMPANION Hertz S, 2003, IND MARKET MANAG, V32, P139, DOI 10.1016/S0019-8501(02)00228-6 Hess M., 2013, 38 U MANCH CAPT GAIN Huijer K., 2005, TRENDS OIL SPILLS TA Hummels D, 2007, J ECON PERSPECT, V21, P131, DOI 10.1257/jep.21.3.131 Humphrey J, 2002, REG STUD, V36, P1017, DOI 10.1080/0034340022000022198 ICS, 2014, SAF ENV IMO, 2014, 3 IMO GHG STUD 2014 Islam MS, 2008, FOOD POLICY, V33, P209, DOI 10.1016/j.foodpol.2007.10.002 Ivarsson I, 2010, WORLD DEV, V38, P1575, DOI 10.1016/j.worlddev.2010.04.007 Jafarzadeh S, 2014, ENERGY, V69, P603, DOI 10.1016/j.energy.2014.03.056 Jeppesen S., 2004, BUSINESS STRATEGY EN, V13, P261, DOI DOI 10.1002/BSE.410 Johnson H., 2014, WMU J MARITIME AFFAI, P1 Johnson H., 2015, J CLEAN PROD, DOI [http://dx.doi.org/10.1016/jjclepro.2015.08.032, DOI 10.1016/JJCLEPRO.2015.08.032] Journal of Commerce (JOC), 2012, TOP 100 IMP EXP RANK Kaukiainen Y, 2014, INT J MARIT HIST, V26, P64, DOI 10.1177/0843871413514505 LANGLEY JC, 2009, STATE LOGISTICS OUTS Langley Jr. J., 2013, 2013 3 PARTY LOG STU Lee KH, 2011, BUS STRATEG ENVIRON, V20, P527, DOI 10.1002/bse.714 Levinson M, 2006, BOX: HOW THE SHIPPING CONTAINER MADE THE WORLD SMALLER AND THE WORLD ECONOMY BIGGER, P1 Lister J, 2015, GLOBAL ENVIRON CHANG, V34, P185, DOI 10.1016/j.gloenvcha.2015.06.011 Longva T., 2011, 31 DNV LLOYDS REG Lyridis D. V., 2012, BLACKWELL COMPANION Mathers J., 2012, SMART MOVES Memedovic Olga, 2008, International Journal of Technological Learning, Innovation, and Development, V1, P353, DOI 10.1504/IJTLID.2008.019978 Mitchell J, 2011, MARKETS RURAL POVERT Molnar JL, 2008, FRONT ECOL ENVIRON, V6, P485, DOI 10.1890/070064 Mukherjee P. K., 2013, FARTHING INT SHIPPIN Nadvi K, 2008, J ECON GEOGR, V8, P323, DOI 10.1093/jeg/lbn003 Pike K., 2011, GLOBAL SUSTAINABLE S Ponte S, 2005, ECON SOC, V34, P1, DOI 10.1080/0308514042000329315 Ponte S, 2014, WORLD DEV, V64, P52, DOI 10.1016/j.worlddev.2014.05.022 Ponte S, 2014, REV INT POLIT ECON, V21, P195, DOI 10.1080/09692290.2013.809596 Ponte S, 2009, WORLD DEV, V37, P1637, DOI 10.1016/j.worlddev.2009.03.008 Rossi A, 2013, WORLD DEV, V46, P223, DOI 10.1016/j.worlddev.2013.02.002 Scherer AG, 2011, J MANAGE STUD, V48, P899, DOI 10.1111/j.1467-6486.2010.00950.x Schmitz H., 2006, EUR J DEV RES, V18, P546, DOI DOI 10.1080/09578810601070688 Skjoett-Larsen T., 2000, INT J PHYS DISTRIB, V30, P112, DOI DOI 10.1108/09600030010318838 Stopford M., 2009, MARITIME EC Sturgeon T, 2011, MAPPING GLOBAL VALUE Talley W. K., 2012, BLACKWELL COMPANION The Danish Shipowners' Association, 2012, GREEN TRANSP GLOB TR Tokatli N, 2008, GLOBAL NETW, V8, P261, DOI 10.1111/j.1471-0374.2008.00195.x Tokatli N, 2007, J ECON GEOGR, V7, P67, DOI 10.1093/jeg/lbl017 Trident Alliance, 2014, WORK TOG ENF SULPH R Tzannatos E, 2010, ATMOS ENVIRON, V44, P400, DOI 10.1016/j.atmosenv.2009.10.024 vanAardenne J., 2013, IMPACT INT SHIPPING Vurro C, 2009, J BUS ETHICS, V90, P607, DOI 10.1007/s10551-010-0595-x Wahl A, 2014, J BUS ETHICS, V124, P585, DOI 10.1007/s10551-013-1889-6 Yeung HWC, 2015, ECON GEOGR, V91, P29, DOI 10.1111/ecge.12063 NR 93 TC 13 Z9 14 U1 6 U2 29 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0016-7185 EI 1872-9398 J9 GEOFORUM JI Geoforum PD JAN PY 2016 VL 68 BP 57 EP 68 DI 10.1016/j.geoforum.2015.11.018 PG 12 WC Geography SC Geography GA DC4NG UT WOS:000369197000008 OA Green Published DA 2019-04-09 ER PT J AU DeMartino, GF Moyer, JD Watkins, KM AF DeMartino, George F. Moyer, Jonathan D. Watkins, Kate M. TI Achieving fair trade through a social tariff regime: a policy thought experiment SO CAMBRIDGE JOURNAL OF ECONOMICS LA English DT Article DE International trade policy; Fair trade; Human development; Equality; Sustainability ID INTERNATIONAL-TRADE; LIBERALIZATION; STANDARDS AB This paper pursues a fair trade policy thought experiment that (i) presents the Social Index Tariff Structure (SITS) regime and (ii) simulates a multilateral SITS regime using bilateral trade flow data. A SITS regime seeks to promote strong labour and environmental standards and other initiatives that engender human development, equality and sustainability. It does this by institutionalising both the incentives and means for countries to enhance their performance in these areas. We demonstrate that a multilateral SITS regime would generate substantial and stable flows of development funds while incentivising an international 'race to the top' in labour and environmental standards and, more broadly, in human development, equality and sustainability. C1 [DeMartino, George F.; Moyer, Jonathan D.] Univ Denver, Denver, CO 80208 USA. [Watkins, Kate M.] Cornell Univ, Ithaca, NY 14853 USA. RP DeMartino, GF (reprint author), Univ Denver, Josef Korbel Sch Int Studies, Denver, CO 80207 USA. EM gdemarti@du.edu CR Aguiar A., 2012, GLOBAL TRADE ASSISTA Bairoch P., 1996, 113 UN C TRAD DEV Bhagwati J, 1995, WORLD ECON, V18, P745, DOI 10.1111/j.1467-9701.1995.tb00329.x BHAGWATI J, 1993, SCI AM, V269, P42, DOI 10.1038/scientificamerican1193-42 BHAGWATI J, 1996, FAIR TRADE HARMONIZA, P159 Blinder A., 2007, WASHINGTON POST Bolle M. J., 2005, CRS REP C Bronfenbrenner Kate, 1996, FINAL REPORT E UNPUB Bronfenbrenner Kate, 2000, UNEASY TERRAIN UNPUB Bussmann M, 2009, WORLD DEV, V37, P1027, DOI 10.1016/j.worlddev.2008.10.007 CASTANEDA JG, 1992, WORLD POLICY J, V9, P673 Cavanagh John, 1988, TRADES HIDDEN COSTS Chang H.-J., 2002, KICKING AWAY LADDER CHAPMAN D, 1991, NAT RESOUR J, V31, P449 Cingranelli David L., 2013, CINGRANELLI RICHARDS DALY HE, 1993, SCI AM, V269, P50, DOI 10.1038/scientificamerican1193-50 DeMartino G., 2000, GLOBAL EC GLOBAL JUS DeMartino G., 1995, INT REV APPL EC, V9, P1 DORMAN P, 1988, REV RADICAL POL ECON, V20, P241, DOI 10.1177/048661348802000236 Dorman P, 2006, C EC RIGHTS CONC MEA Dorman P, 1992, MULTINATIONAL CULTUR, P203 Elson D., 1996, CONFRONTING STATE CA, P35 Elson D., 1981, FEMINIST REV, V7, P87, DOI [10.1057/fr.1981.6, DOI 10.1057/FR.1981.6] Elson D, 2007, FEMINIST EC TRADE, P33 Elson Diane, 2007, FEMINIST EC TRADE ELSTER Jon, 1982, UTILITARIANISM, P219, DOI DOI 10.1017/CBO9780511611964.013 Emerson J.W., 2012, 2012 ENV PERFORMANCE FAQ, 2014, FAQ Gallagher K. P, 2004, FREE TRADE ENV MEXIC Gallagher K.P., 2013, CLASH GLOBALIZATIONS Goldberg PK, 2007, J ECON LIT, V45, P39, DOI 10.1257/jel.45.1.39 Gomory R. E., 2000, GLOBAL TRADE CONFLIC Grabel I., 2008, 184 PERI International Labour Organization, ILO DECL FUND PRINC Kee HL, 2008, REV ECON STAT, V90, P666, DOI 10.1162/rest.90.4.666 Krugman P., 1997, SLATE MAGAZINE Krugman P., 2007, NY TIMES Krugman Paul, 2001, NY TIMES Lebowitz M., 1988, STUDIES POLITICAL EC, V27, P137 Liu J., 2001, J EC INTEGRATION, V19, P626 Marquez J., 2002, ESTIMATING TRADE ELA NUSSBAUM MC, 1992, POLIT THEORY, V20, P202, DOI 10.1177/0090591792020002002 OECD, 2014, AID ODA DISB COUNTR Organisation for Economic Cooperation and Development (OECD), 2013, OECD FACTB 2013 EC E Pogge T.W., 1989, REALIZING RAWLS RAMSTAD Y, 1987, J ECON ISSUES, V21, P5, DOI 10.1080/00213624.1987.11504596 Rodrik D, 1997, HAS GLOBALIZATION GO Rodrik D., 2001, GLOBAL GOVERNANCE TR Rothstein R., 1993, SETTING STANDARD INT Samuelson PA, 2004, J ECON PERSPECT, V18, P135, DOI 10.1257/0895330042162403 Schumer C., 2004, NY TIMES Seguino S, 1997, J DEV STUD, V34, P102, DOI 10.1080/00220389708422513 Seguino S, 2000, CAMB J ECON, V24, P437, DOI 10.1093/cje/24.4.437 Sen A, 1992, INEQUALITY REEXAMINE Sen A., 2009, IDEA JUSTICE SEN A. K, 2000, DEV FREEDOM Senhadji AS, 1999, IMF STAFF PAPERS, V46, P259 Shadlen KC, 2005, REV INT POLIT ECON, V12, P750, DOI 10.1080/09692290500339685 Shafaeddin M, 1998, 139 UN C TRAD DEV SHRYBMAN S, 1992, WORLD POLICY J, V9, P93 TILLY C, 1995, INT LABOR WORK-CLASS, P1 UNCTAD, 2014, INW OUTW FOR DIR INV United Nations Development Programme, 2013, HUM DEV REP 2013 RIS United States Trade Representative, 2007, TRAD FACTS BIP TRAD Wade RH, 2003, REV INT POLIT ECON, V10, P621, DOI 10.1080/09692290310001601902 World Bank, 2014, WORLD BANK WORLD DEV World Bank, 2010, IDA COUNTR POL I ASS WTO, 2014, INT TRAD STAT 2013 NR 68 TC 0 Z9 0 U1 1 U2 11 PU OXFORD UNIV PRESS PI OXFORD PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND SN 0309-166X EI 1464-3545 J9 CAMB J ECON JI Cambr. J. Econ. PD JAN PY 2016 VL 40 IS 1 BP 69 EP 92 DI 10.1093/cje/beu066 PG 24 WC Economics SC Business & Economics GA DB3LB UT WOS:000368411800004 DA 2019-04-09 ER PT J AU Toth, LR Torgyik, T Nagy, L Abonyi, J AF Toth, Laszlo Richard Torgyik, Tamas Nagy, Lajos Abonyi, Janos TI Multiobjective optimization for efficient energy utilization in batch biodiesel production SO CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY LA English DT Article DE Biodiesel; Batch operation; Multiobjective optimization; NSGA-II; Temperature control ID WASTE COOKING OIL; NSGA-II; EMISSIONS; KINETICS; SYSTEM AB Achieving environmental sustainability requires minimizing energy consumption and waste generation. Batch chemical industries are prompted to increase productivity and utilize energy more efficiently. However, in contrast to continuous processes, batch process operations are intrinsically time dependent and the multiscale nature of batch operation posts complications in implementing classical effective waste- and energy-minimization strategies. Given the complex nature of batch plants, a systematic way of identifying and evaluating suitable operating strategies is essential. In this work, we present a multiobjective optimization-based approach that integrates a detailed model of the batch process and techniques of experimental design and evolutionary optimization. The proposed concept is applied to the batch production of fatty acid methyl esters (biodiesel). The optimization of the temperature control of this process takes into account objective functions related to purity of the product, batch time, energy usage and profit. The Pareto-fronts generated by full factorial experiment and by a multiobjective evolutionary algorithm (NSGA-II) show how the objectives are correlating or conflicting. The visualization of these fronts and the optimal temperature trajectories supports the engineers and the operators to find the best trade-off among the non-dominated solutions. C1 [Toth, Laszlo Richard; Torgyik, Tamas; Nagy, Lajos; Abonyi, Janos] Univ Pannonia, Dept Proc Engn, H-8200 Veszprem, Hungary. RP Toth, LR (reprint author), Univ Pannonia, Dept Proc Engn, 10 Egyet Str, H-8200 Veszprem, Hungary. EM tothl@fmt.uni-pannon.hu FU European Union; European Social Fund through National Research Center for Development and Market Introduction of Advanced Information and Communication Technologies [TAMOP-4.2.2.C-11/1/KONV-2012-0004]; [TAMOP-4.2.2/A-11/1/KONV-2012-0071] FX The research of L. R. Toth has been supported by the European Union and the Hungarian Republic through the TAMOP-4.2.2/A-11/1/KONV-2012-0071 project. The research of T. Torgyik has been supported by the European Union and Hungary and co-financed by the European Social Fund through the project TAMOP-4.2.2.C-11/1/KONV-2012-0004-The National Research Center for Development and Market Introduction of Advanced Information and Communication Technologies. CR Abbasi S, 2014, CLEAN TECHNOL ENVIR, V16, P79, DOI 10.1007/s10098-013-0596-4 Bamufleh HS, 2013, CLEAN TECHNOL ENVIR, V15, P185, DOI 10.1007/s10098-012-0497-y Chen LR, 2013, CLEAN TECHNOL ENVIR, V15, P727, DOI 10.1007/s10098-012-0560-8 Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017 Delavari A, 2015, CLEAN TECHNOL ENVIR, V17, P273, DOI 10.1007/s10098-014-0790-z Demirbas A, 2007, PROG ENERG COMBUST, V33, P1, DOI 10.1016/j.pecs.2006.06.001 Etghani MM, 2013, APPL THERM ENG, V59, P309, DOI 10.1016/j.applthermaleng.2013.05.041 Kasza T, 2014, FUEL, V120, P1, DOI 10.1016/j.fuel.2013.11.043 Konak A, 2006, RELIAB ENG SYST SAFE, V91, P992, DOI 10.1016/j.ress.2005.11.018 Lin YC, 2013, FUEL PROCESS TECHNOL, V115, P57, DOI 10.1016/j.fuproc.2013.04.004 Mendoza L-FM, 2014, COMPUTER AIDED CHEM, P235 Mukherjee R, 2015, CLEAN TECHNOL ENVIR, V17, P833, DOI 10.1007/s10098-015-0952-7 Myint LL, 2008, CLEAN TECHNOL ENVIR, V11, P263, DOI 10.1007/s10098-008-0156-5 Ng J-H, 2009, CLEAN TECHNOL ENVIR, V12, P213, DOI 10.1007/s10098-009-0235-2 Noureddini H, 1997, J AM OIL CHEM SOC, V74, P1457, DOI 10.1007/s11746-997-0254-2 Patle DS, 2014, ENERG CONVERS MANAGE, V85, P361, DOI 10.1016/j.enconman.2014.05.034 Seshadri A., 2009, NSGA 2 MULTIOBJECTIV Stamenkovic OS, 2008, BIORESOURCE TECHNOL, V99, P1131, DOI 10.1016/j.biortech.2007.02.028 Toth LR, 2014, CHEM ENGINEER TRANS, V39, P703, DOI 10.3303/CET1439118 Toth LR, 2012, INTELL CONTROL AUTOM, V03, P278, DOI [10.4236/ica.2012.33032, DOI 10.4236/ICA.2012.33032] Ubando AT, 2014, CLEAN TECHNOL ENVIR, V16, P1537, DOI 10.1007/s10098-014-0721-z Woinaroschy A, 2014, FUEL, V135, P393, DOI 10.1016/j.fuel.2014.07.020 NR 22 TC 4 Z9 4 U1 0 U2 7 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 1618-954X EI 1618-9558 J9 CLEAN TECHNOL ENVIR JI Clean Technol. Environ. Policy PD JAN PY 2016 VL 18 IS 1 BP 95 EP 104 DI 10.1007/s10098-015-0996-8 PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DB0GL UT WOS:000368186500008 DA 2019-04-09 ER PT J AU Bonsch, M Humpenoder, F Popp, A Bodirsky, B Dietrich, JP Rolinski, S Biewald, A Lotze-Campen, H Weindl, I Gerten, D Stevanovic, M AF Bonsch, Markus Humpenoeder, Florian Popp, Alexander Bodirsky, Benjamin Dietrich, Jan Philipp Rolinski, Susanne Biewald, Anne Lotze-Campen, Hermann Weindl, Isabelle Gerten, Dieter Stevanovic, Miodrag TI Trade-offs between land and water requirements for large-scale bioenergy production SO GLOBAL CHANGE BIOLOGY BIOENERGY LA English DT Article DE bioenergy; land; land-use model; projection; sustainability; water; water-land nexus ID NET PRIMARY PRODUCTION; ENVIRONMENTAL FLOWS; HUMAN APPROPRIATION; ECONOMIC-IMPACTS; FOOD SECURITY; ENERGY; MODEL; CONSERVATION; BIODIVERSITY; AGRICULTURE AB Bioenergy is expected to play an important role in the future energy mix as it can substitute fossil fuels and contribute to climate change mitigation. However, large-scale bioenergy cultivation may put substantial pressure on land and water resources. While irrigated bioenergy production can reduce the pressure on land due to higher yields, associated irrigation water requirements may lead to degradation of freshwater ecosystems and to conflicts with other potential users. In this article, we investigate the trade-offs between land and water requirements of large-scale bioenergy production. To this end, we adopt an exogenous demand trajectory for bioenergy from dedicated energy crops, targeted at limiting greenhouse gas emissions in the energy sector to 1100 Gt carbon dioxide equivalent until 2095. We then use the spatially explicit global land- and water-use allocation model MAgPIE to project the implications of this bioenergy target for global land and water resources. We find that producing 300 EJ yr(-1) of bioenergy in 2095 from dedicated bioenergy crops is likely to double agricultural water withdrawals if no explicit water protection policies are implemented. Since current human water withdrawals are dominated by agriculture and already lead to ecosystem degradation and biodiversity loss, such a doubling will pose a severe threat to freshwater ecosystems. If irrigated bioenergy production is prohibited to prevent negative impacts of bioenergy cultivation on water resources, bioenergy land requirements for meeting a 300 EJ yr(-1) bioenergy target increase substantially (+ 41%) - mainly at the expense of pasture areas and tropical forests. Thus, avoiding negative environmental impacts of large-scale bioenergy production will require policies that balance associated water and land requirements. C1 [Bonsch, Markus; Humpenoeder, Florian; Popp, Alexander; Bodirsky, Benjamin; Dietrich, Jan Philipp; Rolinski, Susanne; Biewald, Anne; Lotze-Campen, Hermann; Weindl, Isabelle; Gerten, Dieter; Stevanovic, Miodrag] Potsdam Inst Climate Impact Res PIK, D-14473 Potsdam, Germany. [Bonsch, Markus; Humpenoeder, Florian; Bodirsky, Benjamin; Stevanovic, Miodrag] Tech Univ Berlin, Econ Climate Change, D-10623 Berlin, Germany. [Lotze-Campen, Hermann; Weindl, Isabelle] Humboldt Univ, D-10099 Berlin, Germany. RP Bonsch, M (reprint author), Potsdam Inst Climate Impact Res PIK, D-14473 Potsdam, Germany. EM bonsch@pik-potsdam.de RI Gerten, Dieter/B-2975-2013; Stevanovic, Miodrag/B-8303-2018 OI Gerten, Dieter/0000-0002-6214-6991; Stevanovic, Miodrag/0000-0003-1799-186X; Lotze-Campen, Hermann/0000-0002-0003-5508 FU European Union [308329, 282846, 603542]; BMBF [01LL0904D] FX We thank the anonymous reviewers for their valuable comments. The research leading to these results has received funding from the European Union's Seventh Framework Program FP7/2011 under grant agreements no 308329 (ADVANCE), no 282846 (LIMITS) and no 603542 (LUC4C). Additional funding was provided by the BMBF through the INNOVATE project (grant agreement 01LL0904D). CR Alcamo J, 2003, HYDROLOG SCI J, V48, P317, DOI 10.1623/hysj.48.3.317.45290 Alkemade R, 2013, P NATL ACAD SCI USA, V110, P20900, DOI 10.1073/pnas.1011013108 Angelsen A., 2009, REDUCING EMISSIONS D Arnell NW, 2011, GLOBAL ENVIRON CHANG, V21, P592, DOI 10.1016/j.gloenvcha.2011.01.015 Azar C, 2006, CLIMATIC CHANGE, V74, P47, DOI 10.1007/s10584-005-3484-7 Barlow J, 2007, P NATL ACAD SCI USA, V104, P18555, DOI 10.1073/pnas.0703333104 Beringer T, 2011, GCB BIOENERGY, V3, P299, DOI 10.1111/j.1757-1707.2010.01088.x Berndes G, 2002, GLOBAL ENVIRON CHANG, V12, P253, DOI 10.1016/S0959-3780(02)00040-7 Biewald A, 2014, ECOL ECON, V101, P43, DOI 10.1016/j.ecolecon.2014.02.003 Bodirsky B, FOOD DEMAND IN PRESS Bodirsky BL, 2012, BIOGEOSCIENCES, V9, P4169, DOI 10.5194/bg-9-4169-2012 Bondeau A, 2007, GLOBAL CHANGE BIOL, V13, P679, DOI 10.1111/j.1365-2486.2006.01305.x Cassman KG, 1999, P NATL ACAD SCI USA, V96, P5952, DOI 10.1073/pnas.96.11.5952 Chaturvedi V., 2013, MITIG ADAPT STRAT GL, V18, P1, DOI DOI 10.1007/S11027-013-9497-4 Chum H., 2011, IPCC SPECIAL REPORT, P209, DOI [10. 1017/CBO9781139151153, DOI 10.1017/CB09781139151153.006] Conant RT, 2001, ECOL APPL, V11, P343, DOI 10.1890/1051-0761(2001)011[0343:GMACIG]2.0.CO;2 Creutzig F, 2014, GCB BIOENERGY de Fraiture C, 2008, WATER POLICY, V10, P67, DOI 10.2166/wp.2008.054 Demirbas AH, 2007, ENERG CONVERS MANAGE, V48, P2386, DOI 10.1016/j.enconman.2007.03.005 Dietrich JP, 2014, TECHNOL FORECAST SOC, V81, P236, DOI 10.1016/j.techfore.2013.02.003 Dietrich JP, 2013, ECOL MODEL, V263, P233, DOI 10.1016/j.ecolmodel.2013.05.009 Dietrich JP, 2012, ECOL MODEL, V232, P109, DOI 10.1016/j.ecolmodel.2012.03.002 Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950 Egli D. B., 2008, AGRON J, V100, pS Elliott J., 2013, P NATL ACAD SCI USA, V111, P3239, DOI [10.1073/pnas.1222474110, DOI 10.1073/PNAS.1222474110] Erb KH, 2012, ENERG POLICY, V47, P260, DOI 10.1016/j.enpol.2012.04.066 Falkenmark M, 2008, INT J WATER RESOUR D, V24, P201, DOI 10.1080/07900620701723570 FAO, 2010, GLOB FOR RES ASS 201 FAO. Food and Agricultural Organisation of the United Nations (FAO), 2013, FAO STAT DAT FAOSTAT, 2005, DAT COLL FOOD AGR OR Fehrenbach H, 2011, BIOFUEL BIOPROD BIOR, V5, P464, DOI 10.1002/bbb.313 Fischer R.A., 2010, CROP SCI, V50, P85, DOI DOI 10.2135/CR0PSCI2009.10.0564 Florke M, 2013, GLOBAL ENVIRON CHANG, V23, P144, DOI 10.1016/j.gloenvcha.2012.10.018 Gerbens-Leenes W, 2009, P NATL ACAD SCI USA, V106, P10219, DOI 10.1073/pnas.0812619106 Gheewala SH, 2011, BIOFUEL BIOPROD BIOR, V5, P353, DOI 10.1002/bbb.295 Grafton RQ, 2013, NAT CLIM CHANGE, V3, P315, DOI [10.1038/NCLIMATE1746, 10.1038/nclimate1746] Haberl H, 2007, P NATL ACAD SCI USA, V104, P12942, DOI 10.1073/pnas.0704243104 Haberl H, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/3/031004 Haberl H, 2010, CURR OPIN ENV SUST, V2, P394, DOI 10.1016/j.cosust.2010.10.007 Haddeland I, 2011, J HYDROMETEOROL, V12, P869, DOI 10.1175/2011JHM1324.1 Hafner S, 2003, AGR ECOSYST ENVIRON, V97, P275, DOI 10.1016/S0167-8809(03)00019-7 Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688 IIASA, 2013, SSP DAT VERS 0 93 Intergovernmental Panel on Climate Change, 2000, WORK GROUP 3 EM SCEN Johnston M, 2009, ENVIRON RES LETT, V4, DOI 10.1088/1748-9326/4/1/014004 Kijne JW, 2004, WATER PRODUCTIVITY A King JS, 2013, BIOSCIENCE, V63, P102, DOI 10.1525/bio.2013.63.2.6 Klein D, 2014, CLIMATIC CHANGE, V123, P705, DOI 10.1007/s10584-013-0940-z Krause M, 2013, LAND USE POLICY, V30, P344, DOI 10.1016/j.landusepol.2012.03.020 Krausmann F, 2013, P NATL ACAD SCI USA, V110, P10324, DOI 10.1073/pnas.1211349110 Leimbach M, 2010, ENVIRON MODEL ASSESS, V15, P155, DOI 10.1007/s10666-009-9204-8 Lotze-Campen H, 2008, AGR ECON-BLACKWELL, V39, P325, DOI 10.1111/j.1574-0862.2008.00336.x Lotze-Campen H, 2014, AGR ECON-BLACKWELL, V45, P103, DOI 10.1111/agec.12092 Lotze-Campen H, 2010, ECOL MODEL, V221, P2188, DOI 10.1016/j.ecolmodel.2009.10.002 Molden D, 2010, AGR WATER MANAGE, V97, P528, DOI 10.1016/j.agwat.2009.03.023 Moraes MMGA, 2011, BIOFUEL BIOPROD BIOR, V5, P431, DOI 10.1002/bbb.306 Muller C, 2014, AGR ECON-BLACKWELL, V45, P37, DOI 10.1111/agec.12088 Narayanan B.G., 2008, GLOBAL TRADE ASSISTA O'Neill BC, 2013, CLIMATIC CHANGE, V122, P401 Onaindia M, 2013, FOREST ECOL MANAG, V289, P1, DOI 10.1016/j.foreco.2012.10.010 Pahl-Wostl C, 2013, CURR OPIN ENV SUST, V5, P341, DOI 10.1016/j.cosust.2013.06.009 PARDEY P.G., 2006, AGR R D DEV WORLD TO Pastor A., 2014, HYDROL EARTH SYST SC, V10, P14987, DOI DOI 10.5194/HESSD-10-14987-2013 Poff NL, 2010, FRESHWATER BIOL, V55, P147, DOI 10.1111/j.1365-2427.2009.02204.x Poff NL, 2010, FRESHWATER BIOL, V55, P194, DOI 10.1111/j.1365-2427.2009.02272.x Popp A, 2014, CLIMATIC CHANGE, V123, P495, DOI 10.1007/s10584-013-0926-x Popp A, 2012, ECOL ECON, V74, P64, DOI 10.1016/j.ecolecon.2011.11.004 Popp A, 2011, BIOMASS BIOENERG, V35, P4770, DOI 10.1016/j.biombioe.2010.06.014 Popp A, 2011, ENVIRON RES LETT, V6, DOI 10.1088/1748-9326/6/3/034017 Popp A, 2010, GLOBAL ENVIRON CHANG, V20, P451, DOI 10.1016/j.gloenvcha.2010.02.001 Rose SK, 2014, CLIMATIC CHANGE, V123, P477, DOI 10.1007/s10584-013-0965-3 Rosegrant MW, 2009, ANNU REV ENV RESOUR, V34, P205, DOI 10.1146/annurev.environ.030308.090351 Rost S, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006331 Schmer MR, 2008, P NATL ACAD SCI USA, V105, P464, DOI 10.1073/pnas.0704767105 Schmitz C, 2012, GLOBAL ENVIRON CHANG, V22, P189, DOI 10.1016/j.gloenvcha.2011.09.013 Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 Searle S., 2014, GCB BIOENERGY Shiklomanov IA, 2000, WATER INT, V25, P11, DOI 10.1080/02508060008686794 Siebert S, 2006, 05 I PHYS GEOGR Singh S, 2011, BIOFUEL BIOPROD BIOR, V5, P399, DOI 10.1002/bbb.296 Smakhtin V, 2004, WATER INT, V29, P307, DOI 10.1080/02508060408691785 Smith P, 2013, GLOBAL CHANGE BIOL, V19, P2285, DOI 10.1111/gcb.12160 Smith WK, 2012, BIOSCIENCE, V62, P911, DOI 10.1525/bio.2012.62.10.11 Vorosmarty CJ, 2013, CURR OPIN ENV SUST, V5, P535, DOI 10.1016/j.cosust.2013.11.011 Walsh ME, 2003, ENVIRON RESOUR ECON, V24, P313, DOI 10.1023/A:1023625519092 Wisser D, 2008, GEOPHYS RES LETT, V35 NR 86 TC 34 Z9 34 U1 5 U2 69 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1757-1693 EI 1757-1707 J9 GCB BIOENERGY JI GCB Bioenergy PD JAN PY 2016 VL 8 IS 1 BP 11 EP 24 DI 10.1111/gcbb.12226 PG 14 WC Agronomy; Biotechnology & Applied Microbiology; Energy & Fuels SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels GA DB0BB UT WOS:000368172500003 OA DOAJ Gold DA 2019-04-09 ER PT J AU Lam, JSL Gu, Y AF Lam, Jasmine Siu Lee Gu, Yimiao TI A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements SO INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS LA English DT Article DE Market-oriented approach; Intermodal network; Container transport; Port; Carbon emission; Bi-objective optimisation ID ANP-QFD APPROACH; TRANSPORTATION PROBLEM; CONTAINER TRUCK; SUSTAINABILITY; MANAGEMENT; ALGORITHM; EMISSIONS; INDUSTRY; FREIGHT; PORTS AB An increasing number of logistics service providers act as freight integrators in offering one-stop solutions to customers in recent years. Most mathematical models of intermodal network design have been developed with a single objective of cost minimisation. This study focuses on developing innovative approaches in the area of enhanced intermodal network design provided by freight integrators. The overall aim of this paper is to demonstrate an original optimisation model that can be employed by freight integrators to address cost minimisation, transit time minimisation, and carbon footprint to better meet market needs. To achieve the aim, this paper develops a bi-objective optimisation model to minimise cost and transit time for the tactical planning of intermodal container flows with constrained carbon emission. The results and analysis of the example of China offer practical insights on the impact of trade-offs between cost and transit time, and the effect of different carbon emission restrictions on intermodal network design. (C) 2015 Elsevier B.V. All rights reserved. C1 [Lam, Jasmine Siu Lee; Gu, Yimiao] Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore 639798, Singapore. RP Lam, JSL (reprint author), Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore 639798, Singapore. EM SLLam@ntu.edu.sg RI Lam, Jasmine Siu Lee/A-3757-2011 OI Lam, Jasmine Siu Lee/0000-0001-7920-2665 CR Drexl A, 2009, EUR J OPER RES, V199, P296, DOI 10.1016/j.ejor.2008.11.029 Erera AL, 2005, TRANSPORT RES E-LOG, V41, P551, DOI 10.1016/j.tre.2005.06.004 Flint D. J., 2005, Journal of Business Logistics, V26, P113 Guo Y., 2010, RAILW EC RES, V98, P27 Iannone F, 2010, INT J TRANSP ECON, V37, P281 Imai A, 2009, TRANSPORT RES E-LOG, V45, P740, DOI 10.1016/j.tre.2009.01.002 Infante D, 2009, MARIT ECON LOGIST, V11, P247, DOI 10.1057/mel.2009.6 Jula H, 2006, TRANSPORT RES E-LOG, V42, P43, DOI 10.1016/j.tre.2004.08.007 Kim H. - J., 2008, MARIT POLICY MANAG, V35, P103, DOI DOI 10.1080/03088830701849084 Kim NS, 2014, INT J SUSTAIN TRANSP, V8, P177, DOI 10.1080/15568318.2011.633689 Lam JSL, 2015, INT J LOGIST MANAG, V26, P313, DOI 10.1108/IJLM-08-2013-0088 Lam JSL, 2015, J CLEAN PROD, V105, P275, DOI 10.1016/j.jclepro.2014.09.070 Lam JSL, 2014, TRANSPORT REV, V34, P169, DOI 10.1080/01441647.2014.891162 Lam JSL, 2013, INT J SHIP TRANS LOG, V5, P257, DOI 10.1504/IJSTL.2013.054190 Lam JSL, 2011, MARIT POLICY MANAG, V38, P705, DOI 10.1080/03088839.2011.625988 Liao CH, 2009, TRANSPORT RES D-TR E, V14, P493, DOI 10.1016/j.trd.2009.05.002 Lodi Andrea, 2010, MIXED INTEGER PROGRA, P619 Lun YHV, 2015, COMPUT OPER RES, V54, P295, DOI 10.1016/j.cor.2013.06.005 Maersk Line, 2013, CARB FOOTPR CALC Marine Department, 2013, RANK CONT PORTS WORL Martinez P, 2011, COMPUT CHEM ENG, V35, P1478, DOI 10.1016/j.compchemeng.2011.05.003 MIN H, 1991, TRANSPORT RES A-POL, V25, P351, DOI 10.1016/0191-2607(91)90013-G Notteboom T, 2010, P WORLD OC FOR C BUS, P134 Perez-Labajos C, 2004, MAR POLICY, V28, P553, DOI 10.1016/j.marpol.2004.05.003 Rahimi M., 2008, MARIT ECON LOGIST, V10, P362, DOI DOI 10.1057/mel.2008.17 Rodrigue J., 2007, GATEWAYS CORRIDORS G Rong Z, 2005, TRANSPORT POLICY, V12, P345, DOI 10.1016/j.tranpol.2005.01.005 Shintani K, 2010, TRANSPORT RES E-LOG, V46, P750, DOI 10.1016/j.tre.2009.12.008 TEMS Inc, 2008, TECHN REP IMP HIGH O Thill JC, 2010, J TRANSP GEOGR, V18, P530, DOI 10.1016/j.jtrangeo.2010.03.010 Wang F, 2011, DECIS SUPPORT SYST, V51, P262, DOI 10.1016/j.dss.2010.11.020 Wang WF, 2013, INT J PROD ECON, V143, P349, DOI 10.1016/j.ijpe.2011.10.016 Wong EYC, 2010, OR SPECTRUM, V32, P739, DOI 10.1007/s00291-010-0208-1 Yang XJ, 2011, J TRANSP GEOGR, V19, P515, DOI 10.1016/j.jtrangeo.2010.05.007 Yu NN, 2012, TRANSPORT REV, V32, P3, DOI 10.1080/01441647.2011.603104 Zhang RY, 2011, INT J PROD ECON, V133, P351, DOI 10.1016/j.ijpe.2010.02.005 Zhang RY, 2009, TRANSPORT RES E-LOG, V45, P904, DOI 10.1016/j.tre.2009.04.012 NR 37 TC 18 Z9 20 U1 10 U2 57 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0925-5273 EI 1873-7579 J9 INT J PROD ECON JI Int. J. Prod. Econ. PD JAN PY 2016 VL 171 SI SI BP 266 EP 274 DI 10.1016/j.ijpe.2015.09.024 PN 2 PG 9 WC Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science SC Engineering; Operations Research & Management Science GA DA4MK UT WOS:000367773800011 DA 2019-04-09 ER PT J AU de Ruiter, H Macdiarmid, JI Matthews, RB Kastner, T Smith, P AF de Ruiter, Henri Macdiarmid, Jennie I. Matthews, Robin B. Kastner, Thomas Smith, Pete TI Global cropland and greenhouse gas impacts of UK food supply are increasingly located overseas SO JOURNAL OF THE ROYAL SOCIETY INTERFACE LA English DT Article DE global environmental impacts; food supply; land use; international trade; self-sufficiency ID LAND-USE CHANGE; INTERNATIONAL-TRADE; CARBON FOOTPRINTS; WATER FOOTPRINT; CONSUMPTION; SUSTAINABILITY; GLOBALIZATION; DISPLACEMENT; HUMANITY; NATIONS AB Producing sufficient, healthy food for a growing world population amid a changing climate is a major challenge for the twenty-first century. Agricultural trade could help alleviate this challenge by using comparative productivity advantages between countries. However, agricultural trade has implications for national food security and could displace environmental impacts from developed to developing countries. This study illustrates the global effects resulting from the agricultural trade of a single country, by analysing the global cropland and greenhouse gas impacts of the UK's food and feed supply. The global cropland footprint associated with the UK food and feed supply increased by 2022 kha (+23%) from 1986 to 2009. Greenhouse gas emissions (GHGE) associated with fertilizer and manure application, and rice cultivation remained relatively constant at 7.9 Mt CO(2)e between 1987 and 2008. Including GHGE from land-use change, however, leads to an increase from 19.1 in 1987 to 21.9 Mt CO(2)e in 2008. TheUK is currently importing over 50% of its food and feed, whereas 70% and 64% of the associated cropland and GHGE impacts, respectively, are located abroad. These results imply that the UK is increasingly reliant on external resources and that the environmental impact of its food supply is increasingly displaced overseas. C1 [de Ruiter, Henri; Matthews, Robin B.] James Hutton Inst, Informat & Comp Sci Grp, Aberdeen AB15 8QH, Scotland. [de Ruiter, Henri; Smith, Pete] Univ Aberdeen, Inst Biol & Environm Sci, Aberdeen AB24 3UU, Scotland. [Macdiarmid, Jennie I.] Univ Aberdeen, Rowett Inst Nutr & Hlth, Publ Hlth Nutr Res Grp, Aberdeen AB25 2ZD, Scotland. [Kastner, Thomas] Alpen Adria Univ Klagenfurt, Inst Social Ecol Vienna, A-1070 Vienna, Austria. RP de Ruiter, H (reprint author), James Hutton Inst, Informat & Comp Sci Grp, Aberdeen AB15 8QH, Scotland. EM henri.deruiter@hutton.ac.uk RI Kastner, Thomas/C-6346-2012; Smith, Pete/G-1041-2010 OI Kastner, Thomas/0000-0002-8155-136X; Smith, Pete/0000-0002-3784-1124; Vienna, Social Ecology/0000-0003-1345-5461; Matthews, Robin/0000-0003-4685-6210 FU University of Aberdeen Environment and Food Security Theme/the James Hutton Institute PhD studentship; Belmont Forum; NERC [NE/M021327/1]; Rural and Environment Science and Analytical Services, Scottish Government; European Research Council [ERC-263522]; Natural Environment Research Council [NE/M021327/1] FX This work was supported by a University of Aberdeen Environment and Food Security Theme/the James Hutton Institute PhD studentship, and contributes to the Scottish Food Security Alliance-Crops and the Belmont Forum supported DEVIL project (NERC fund UK contribution: NE/M021327/1). J.M. and R.B.M. acknowledge funding from the Rural and Environment Science and Analytical Services, Scottish Government. T.K. acknowledges funding from the European Research Council Grant ERC-263522 (LUISE). CR Audsley E, 2009, IOW CAN WE GO ASSESS Cowell SJ, 2003, AGR ECOSYST ENVIRON, V94, P221, DOI 10.1016/S0167-8809(02)00024-5 D'Odorico P, 2014, EARTHS FUTURE, V2, P458, DOI 10.1002/2014EF000250 DEFRA, 2013, UKS CARB FOOTPR 1997 Defra, 2010, BRIT SURV FERT PRACT DEFRA, 2013, EXP STAT AR CROPS GR DEFRA, 2012, UK HOUS PURCH 1974 2 Del Gobbo LC, 2015, AM J CLIN NUTR, V101, P1038, DOI 10.3945/ajcn.114.087403 Fader M, 2011, HYDROL EARTH SYST SC, V15, P1641, DOI 10.5194/hess-15-1641-2011 Fader M, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/014046 FAO, 2005, FERT US CROP GHAN FAO, 2006, FERT US CROP FAO, 2001, FOOD BAL SHETS HDB Fertilizers Europe, 2010, FERT EUR FOR FOOD FA Foley JA, 2011, NATURE, V478, P337, DOI 10.1038/nature10452 Friel S, 2009, LANCET, V374, P2016, DOI 10.1016/S0140-6736(09)61753-0 Gerbens-Leenes PW, 2002, ECOL ECON, V42, P185, DOI 10.1016/S0921-8009(02)00049-6 Hedenus F, 2014, CLIMATIC CHANGE, V124, P79, DOI 10.1007/s10584-014-1104-5 Heffer P, 2013, ASSESSMENT FERTILIZE Henders S, 2014, ECOL ECON, V99, P21, DOI 10.1016/j.ecolecon.2014.01.005 Hoekstra AY, 2014, SCIENCE, V344, P1114, DOI 10.1126/science.1248365 Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 Hortenhuber S, 2014, J CLEAN PROD, V73, P31, DOI 10.1016/j.jclepro.2013.12.027 IPCC (International Panel on Climate Change), 2006, 2006 IPCC GUIDELINES Kastner T, 2014, ECOL ECON, V104, P140, DOI 10.1016/j.ecolecon.2013.12.003 Kastner T, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034015 Kastner T, 2011, ECOL ECON, V70, P1032, DOI 10.1016/j.ecolecon.2011.01.012 Lambin EF, 2011, P NATL ACAD SCI USA, V108, P3465, DOI 10.1073/pnas.1100480108 Lassaletta L, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/10/105011 MacDonald GK, 2015, BIOSCIENCE, V65, P275, DOI 10.1093/biosci/biu225 Meier T, 2014, APPETITE, V74, P20, DOI 10.1016/j.appet.2013.11.006 Meyfroidt P, 2013, CURR OPIN ENV SUST, V5, P438, DOI 10.1016/j.cosust.2013.04.003 Myhre G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P659 Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Porkka M, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0082714 Sandstrom V, 2014, AGR ECOSYST ENVIRON, V188, P163, DOI 10.1016/j.agee.2014.02.009 Smith P, 2014, CLIMATE CHANGE 2014: MITIGATION OF CLIMATE CHANGE, P811 Steen-Olsen K, 2012, ENVIRON SCI TECHNOL, V46, P10883, DOI 10.1021/es301949t Tilman D, 2001, SCIENCE, V292, P281, DOI 10.1126/science.1057544 Tilman D, 2014, NATURE, V515, P518, DOI 10.1038/nature13959 Tubiello FN, 2015, GLOBAL CHANGE BIOL, V21, P2655, DOI 10.1111/gcb.12865 Tubiello FN, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015009 Tukker A, 2011, ECOL ECON, V70, P1776, DOI 10.1016/j.ecolecon.2011.05.001 van Middelaar CE, 2013, INT J LIFE CYCLE ASS, V18, P768, DOI 10.1007/s11367-012-0521-9 Vellinga TV, 2013, METHODOLOGY USED FEE Weinzettel J, 2014, ECOL ECON, V101, P115, DOI 10.1016/j.ecolecon.2014.02.020 Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 Westhoek H, 2014, GLOBAL ENVIRON CHANG, V26, P196, DOI 10.1016/j.gloenvcha.2014.02.004 Wiedmann T, 2011, URBAN CONSUMPTION, P35 Williams AG, 2014, P 9 INT C LIF CYCL A, P8 NR 50 TC 8 Z9 8 U1 2 U2 27 PU ROYAL SOC PI LONDON PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND SN 1742-5689 EI 1742-5662 J9 J R SOC INTERFACE JI J. R. Soc. Interface PD JAN 1 PY 2016 VL 13 IS 114 AR 20151001 DI 10.1098/rsif.2015.1001 PG 10 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA DA4YB UT WOS:000367807600001 PM 26740576 OA Green Published, Bronze DA 2019-04-09 ER PT J AU Nieto-Romero, M Milcu, A Leventon, J Mikulcak, F Fischer, J AF Nieto-Romero, Marta Milcu, Andra Leventon, Julia Mikulcak, Friederike Fischer, Joern TI The role of scenarios in fostering collective action for sustainable development: Lessons from central Romania SO LAND USE POLICY LA English DT Article DE Barriers; Collective action; Scenario planning; Sustainable development; Trade-offs ID ENVIRONMENTAL-MANAGEMENT; CONSERVATION; FRAMEWORK; EUROPE; EXPERIENCES; GOVERNANCE; RELEVANCE; LEGACIES; POLICY; FUTURE AB Scenario planning is increasingly used to help rural communities to navigate a transition towards sustainability. Although some benefits of scenario planning -e.g. awareness raising, information sharing, and visioning are widely recognized and assessed, its final impact on prompting tangible actions by the community is usually overlooked. This study aims to fill this gap by assessing the opportunities and limitations of scenario planning in shaping a tangible agenda for sustainable development within a rural community. Based on previously elaborated scenarios for Transylvania (Central Romania), we interviewed 24 actors relevant to the development of the area in a second-stage process. Using a qualitative approach for data analysis, we explored the barriers for action as well as the trade-offs actors were willing to accept to collaborate with other groups to reach a common vision. We found that scenario planning was useful to articulate a shared development trajectory. Yet, actors perceived different barriers to act towards their preferred future. Likewise, the trade-offs the different actor groups accepted for collaboration differed. In view of our results, we developed a conceptual framework highlighting how information sharing and visioning alone are not enough to break through the barriers actors perceived to bring about change in a community. However, scenarios are useful to identify barriers and opportunities for collective action. In consequence, scenarios and elicited barriers for action can feed into the design of a longer-term agenda for sustainable development and necessary strategies. Framing scenario planning as input for second-stage participatory processes instead of a stand-alone exercise can thus help to increase the added value of scenario planning, and its return to the community altogether. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Nieto-Romero, Marta; Milcu, Andra; Mikulcak, Friederike; Fischer, Joern] Univ Luneburg, Fac Sustainabil, Inst Ecol, D-21335 Luneburg, Germany. [Leventon, Julia] Univ Luneburg, Fac Sustainabil, Inst Environm & Sustainabil Commun, D-21335 Luneburg, Germany. RP Nieto-Romero, M (reprint author), Univ Politecn Madrid, Ctr Management Agr & Environm Risks CEIGRAM, Senda Rey 13,Ciudad Univ, E-28040 Madrid, Spain. EM marta.nieto@upm.es RI Fischer, Joern/C-6625-2012 OI Fischer, Joern/0000-0003-3187-8978; Leventon, Julia/0000-0002-2447-8522 FU Alexander von Humboldt Foundation; German Ministry for Research and Education FX The authors greatly appreciate the time and patience of all interviewees. We are grateful to Tibor Hartel for assisting in the field work and for insightful discussions. We would like to thank Jacqueline Loos and Marlene Roellig for contributing logistically to this study. Finally, we are grateful to Ignacio Palomo for insightful critiques on the manuscript in its early stages. The research was funded through a Sofja Kovalevskaja Award by the Alexander von Humboldt Foundation to Joern Fischer, financed by the German Ministry for Research and Education. Detailed suggestions by anonymous reviewers greatly helped to improve the quality of the manuscript. CR ADEPT, 2011, BIOD AR SCI EC CULT Albrechts L, 2004, ENVIRON PLANN B, V31, P743, DOI 10.1068/b3065 Badescu G, 2005, EUROPE-ASIA STUD, V57, P117, DOI 10.1080/0966813052000314138 Bohensky E, 2011, GLOBAL ENVIRON CHANG, V21, P876, DOI 10.1016/j.gloenvcha.2011.03.009 Bradfield R, 2005, FUTURES, V37, P795, DOI 10.1016/j.futures.2005.01.003 Brown LD, 1996, WORLD DEV, V24, P1467, DOI 10.1016/0305-750X(96)00053-8 Campeanu C., 2014, GLOBAL ENV CHANGE Carpenter S. R., 2005, MILLENNIUM ECOSYSTEM, V2 Costa O., 2008, TECHNOL ANAL STRATEG, V20, P369 Costanza R, 1999, ECOL ECON, V31, P199, DOI 10.1016/S0921-8009(99)00079-8 Daconto G, 2010, MT RES DEV, V30, P103, DOI 10.1659/MRD-JOURNAL-D-09-00047.1 Dinu C., 2012, THESIS Dorresteijn I, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0065236 Dyer JC, 2013, RESOURCES-BASEL, V2, P1, DOI 10.3390/resources2010001 EEA, 2009, 32009 EEA EEA, 2006, COR LAND COV 2006 SE Elo S, 2008, J ADV NURS, V62, P107, DOI 10.1111/j.1365-2648.2007.04569.x Evans K., 2008, Surveys and Perspectives Intergrating Environment and Society (SAPIENS), V1, P97 Evans K, 2006, FIELD GUIDE FUTURE 4 Fazey I, 2005, ECOL SOC, V10 Fischer J, 2012, CONSERV LETT, V5, P167, DOI 10.1111/j.1755-263X.2012.00227.x Folke C, 2005, ANNU REV ENV RESOUR, V30, P441, DOI 10.1146/annurev.energy.30.050504.144511 Gertler MS, 2004, FUTURES, V36, P45, DOI 10.1016/S0016-3287(03)00139-3 Ghisa M, 2011, FUTURES, V43, P996, DOI 10.1016/j.futures.2011.06.009 Glaser B. G., 2009, DISCOVERY GROUNDED T Hanspach J, 2014, ECOL SOC, V19, DOI 10.5751/ES-06915-190432 Henrichs T, 2010, ECOSYSTEMS HUMAN WEL Hughes A., 2008, J POLIT SCI THEORY, V4, P309 IPCC, 2007, CLIM CHANG 2007 SYNT Kolb D. A., 1984, EXPERIENTIAL LEARNIN Kurz T, 2005, BRIT J SOC PSYCHOL, V44, P603, DOI 10.1348/014466604X18064 Lawrence Anna, 2008, International Journal of Biodiversity Science & Management, V4, P179, DOI 10.3843/Biodiv.4.4:1 Loos J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0103256 McKenzie-Mohr D, 2000, J SOC ISSUES, V56, P543, DOI 10.1111/0022-4537.00183 McKenzie- Mohr D, 2013, FOSTERING SUSTAINABL Meyer-Sahling JH, 2009, INT REV ADM SCI, V75, P509, DOI 10.1177/0020852309337670 Mikulcak F., 2015, LAND USE POLICY Mikulcak F, 2013, ENVIRON CONSERV, V40, P129, DOI 10.1017/S0376892912000392 Milcu AI, 2014, LAND USE POLICY, V41, P408, DOI 10.1016/j.landusepol.2014.06.019 Mitchell B, 2005, SOC INDIC RES, V71, P123, DOI 10.1007/s11205-004-8016-0 Oteros-Rozas E, 2013, RANGELAND J, V35, P251, DOI 10.1071/RJ12092 Palomo I, 2011, ECOL SOC, V16 Patela M, 2007, LAND USE POLICY, V24, P546, DOI 10.1016/j.landusepol.2006.02.005 Peterson GD, 2003, CONSERV BIOL, V17, P358, DOI 10.1046/j.1523-1739.2003.01491.x Plieninger T, 2013, ECOL SOC, V18, DOI 10.5751/ES-05802-180339 QSR International Pty Ltd, 2012, QSR INT PTY LTD VERS Reed MS, 2013, J ENVIRON MANAGE, V128, P345, DOI 10.1016/j.jenvman.2013.05.016 Sabatier P. A., 1988, POLICY SCI, V21, P129, DOI DOI 10.1007/BF00136406 Sabatier PA, 1998, J EUR PUBLIC POLICY, V5, P98, DOI 10.1080/13501768880000051 SCHNEIDER A, 1990, J POLIT, V52, P510, DOI 10.2307/2131904 Schwarz P., 1991, ART LONG VIEW PLANNI SELIN S, 1995, ENVIRON MANAGE, V19, P189, DOI 10.1007/BF02471990 van de Kerkhof M, 2006, POLICY SCI, V39, P279, DOI 10.1007/s11077-006-9024-5 Van der Heijden K., 2005, SCENARIOS ART STRATE Volkery A, 2009, TECHNOL FORECAST SOC, V76, P1198, DOI 10.1016/j.techfore.2009.07.009 Voss J.-P., 2009, ECOL SOC, V16, P9 Wakefield SEL, 2006, ENVIRON MANAGE, V37, P40, DOI 10.1007/s00267-004-0323-3 Wangel J, 2011, TECHNOL FORECAST SOC, V78, P872, DOI 10.1016/j.techfore.2011.03.007 Wilson I, 2000, TECHNOL FORECAST SOC, V65, P23, DOI 10.1016/S0040-1625(99)00122-5 Wyborn CA, 2015, ECOL SOC, V20, DOI 10.5751/ES-06510-200111 NR 60 TC 9 Z9 9 U1 3 U2 15 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD JAN PY 2016 VL 50 BP 156 EP 168 DI 10.1016/j.landusepol.2015.09.013 PG 13 WC Environmental Studies SC Environmental Sciences & Ecology GA DA4FO UT WOS:000367755700015 DA 2019-04-09 ER PT J AU Calvo, G Valero, A Valero, A AF Calvo, Guiomar Valero, Alicia Valero, Antonio TI Material flow analysis for Europe: An exergoecological approach SO ECOLOGICAL INDICATORS LA English DT Article DE Material flow analysis; Sankey diagram; Exergy replacement cost; Mineral balance; Mineral trade ID EXTENDED EXERGY; ECONOMY; SUSTAINABILITY; CONSUMPTION; EXTRACTION AB Material flow analysis is a key tool to quantify and monitor the use of natural resources. A very visual way to undertake such analyses representing the mineral trade is through Sankey diagrams, in which the mineral resources that are extracted, imported, exported, recycled and consumed within the given boundaries are represented with the arrows proportional to their respective quantities. Yet Sankey diagrams alone are not sensitive to the quality of the resources as they only reflect tonnage. This issue can lead to misleading conclusions and thereby not effective resource policies. A way to overcome this deficiency is representing the flows in exergy replacement cost (ERC) terms instead of tonnage. Exergy replacement cost is a concept derived from the second law of thermodynamics and assesses the exergy cost required to return with available technologies a given mineral to its initial conditions of composition and concentration in the mines where it was found, once it has been dispersed after use. Using this methodology, minerals are physically valued in terms of their respective scarcities and the effort (in exergy cost terms) required to produce them. Accordingly, in this paper the so-called exergoecology method is used to evaluate mineral trade and foreign mineral dependency in the EU-28 for 1995 to 2012. Using the year 2011 as a case study, it can be seen using this novel approach that 45.8% of the total input of minerals are imported resulting in lower values of self-sufficiency than if a traditional MFA were applied (0.45 for minerals and 0.41 for fossil fuels, in contrast to 0.79 and 0.52 obtained respectively when using tonnes). Analyzing 10 of the 20 minerals deemed critical by the European Commission, of the total internal production, 0.88% corresponded to critical minerals when data were expressed in tonnes and 3.19% when expressed in exergy replacement costs, highlighting their relevance respect to other minerals. This external dependency leaves Europe in a delicate situation regarding fossil fuels and non-fuel minerals supply highlighting the importance of recycling especially scarce minerals and searching for alternative sources. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Calvo, Guiomar; Valero, Alicia; Valero, Antonio] Res Ctr Energy Resources & Consumpt CIRCE, Zaragoza 50018, Spain. RP Calvo, G (reprint author), Res Ctr Energy Resources & Consumpt CIRCE, Campus Rio Ebro,Mariano Esquillor Gomez 15, Zaragoza 50018, Spain. EM gcalvose@unizar.es RI Calvo, Guiomar/L-2006-2015; /L-9280-2014 OI Calvo, Guiomar/0000-0001-9263-7321; Valero Delgado, Alicia/0000-0003-3330-1793; /0000-0003-0702-733X FU Spanish Ministry of Economy and Competitiveness [ENE2010-19834] FX This study has been carried out under the framework of the ENE2010-19834 project, financed by the Spanish Ministry of Economy and Competitiveness. CR Achzet B, 2013, RESOUR POLICY, V38, P435, DOI 10.1016/j.resourpol.2013.06.003 British Geological Survey, 2014, EUR MIN STAT 2008 20 British Geological Survey, 2011, EUR MIN STAT 2007 20 Bruckner M, 2012, GLOBAL ENVIRON CHANG, V22, P568, DOI 10.1016/j.gloenvcha.2012.03.011 Chen B, 2014, RENEW SUST ENERG REV, V37, P334, DOI 10.1016/j.rser.2014.05.022 Dai J, 2014, ENVIRON SCI TECHNOL, V48, P9826, DOI 10.1021/es404191v European Commission, 2013, MEMB STAT EN DEP IND European Commission, 2008, RAW MAT IN M OUR CRI European Commission, 2009, EUR EC 7 2009 EC CRI European Commission, 2014, REP CRIT RAW MAT EU Eurostat, 2013, EC WID MAT FLOW ACC Giljum S., 2008, ENVIRON SCI POLICY, V11, P207 Giljum Stefan, 2001, IR01059 INT I APPL S Glaister BJ, 2010, MINER ENG, V23, P438, DOI 10.1016/j.mineng.2009.12.007 JOrgensen S. E., 2004, THERMODYNAMIC THEORY Jorgensen S. E., 2006, ECOEXERGY SUSTAINABI Kovanda J, 2013, ENVIRON SCI POLICY, V29, P71, DOI 10.1016/j.envsci.2013.01.005 Kovanda J, 2012, ECOL INDIC, V17, P88, DOI 10.1016/j.ecolind.2011.04.020 Krausmann F, 2009, ECOL ECON, V68, P2696, DOI 10.1016/j.ecolecon.2009.05.007 Kriz A., 2011, INT J ENV PROTECTION, V1, P63 Marinescu M, 2013, RESOUR POLICY, V38, P416, DOI 10.1016/j.resourpol.2013.06.010 Mudd GM, 2007, RESOUR POLICY, V32, P42, DOI 10.1016/j.resourpol.2007.05.002 Mudd GM, 2014, SCI TOTAL ENVIRON, V472, P590, DOI 10.1016/j.scitotenv.2013.11.070 Oras K., 2010, B STAT ESTONIA Schandl H, 2006, J IND ECOL, V10, P133, DOI 10.1162/jiec.2006.10.4.133 Schutz H, 2004, GLOBALISATION SHIFTI Steinberger JK, 2010, ECOL ECON, V69, P1148, DOI 10.1016/j.ecolecon.2009.12.009 Tiess G, 2010, RESOUR POLICY, V35, P190, DOI 10.1016/j.resourpol.2010.05.005 UNEP, 2011, RECYCLING RATES META United Nations, 2013, GDP ITS BREAKD CURR USGS, 1995, US GEOL SURV MIN YB Valero A, 2014, THANATIA DESTINY EAR VALERO A, 1998, ADV ENERGY STUDIES E, P415 Valero A, 2012, RESOUR CONSERV RECY, V68, P126, DOI 10.1016/j.resconrec.2012.08.004 Valero A, 2011, ENERGY, V36, P694, DOI 10.1016/j.energy.2010.09.034 Valero A, 2014, ECOL INDIC, V46, P548, DOI 10.1016/j.ecolind.2014.07.021 Valero A, 2011, ENERGY, V36, P3745, DOI 10.1016/j.energy.2010.07.017 Valero A, 2010, ENERGY, V35, P229, DOI 10.1016/j.energy.2009.09.013 Valero A, 2009, ENERGY, V34, P2101, DOI 10.1016/j.energy.2008.08.020 Weisz H, 2006, ECOL ECON, V58, P676, DOI 10.1016/j.ecolecon.2005.08.016 NR 40 TC 11 Z9 11 U1 0 U2 20 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD JAN PY 2016 VL 60 BP 603 EP 610 DI 10.1016/j.ecolind.2015.08.005 PG 8 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CZ9GW UT WOS:000367407000062 DA 2019-04-09 ER PT J AU Peng, J Du, YY Liu, YX Hu, XX AF Peng, Jian Du, Yueyue Liu, Yanxu Hu, Xiaoxu TI How to assess urban development potential in mountain areas? An approach of ecological carrying capacity in the view of coupled human and natural systems SO ECOLOGICAL INDICATORS LA English DT Article DE Ecological carrying capacity; Coupled human and natural systems; Urban development in mountainous area; Comprehensive trade-offs; Dali Bai Autonomous Prefecture, China ID ECONOMIC-GROWTH; LAND CREATION; CHINA; MODEL; ENVIRONMENT; MANAGEMENT; YUNNAN; GIS; SUSTAINABILITY; FOOTPRINT AB How to assort with the relationship between mountain development and ecological protection is a key issue during the process of mountainous urban construction. Ecological carrying capacity (ECC), as the key to measuring regional sustainable development in terms of society, economy and ecology, provides an approach to assess urban development potential in mountain areas. Taking Dali Bai Autonomous Prefecture in Yunnan Province, China as a study area, this study has explored the conceptual framework for ECC in view of coupled human and natural systems (CHANS), and has constructed an index system using aspects of ecosystem vigor (EV), resources and environmental carrying capacity (RECC), and social development ability (SDA). The results at the county level showed that: (1) Dali City had the highest EV and SDA, with a relatively good ecological background, stable geological environment, and more concentrated population and flourishing urbanization. Yunlong County occupied the best RECC for its relatively abundant stock of water and land resources. Due to well-balanced ecosystem stability maintenance, resource utilization, and human development, Yunlong County possessed the highest ECC all over the prefecture; (2) the study area can be grouped into five categories considering trade-offs between mountain development and ecological protection. That is, priority areas for conservation, priority areas for development, areas suitable for short-term conservation but long-term development, areas suitable for short-term development but long-term conversation, and areas reserved for future appropriate development. This research could help to identify the approach to sustainable mountain development from the perspective of CHANS, and to make effective contribution to urban development decision-making in mountainous areas. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Peng, Jian; Du, Yueyue; Liu, Yanxu; Hu, Xiaoxu] Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China. RP Peng, J (reprint author), Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China. EM jianpeng@urban.pku.edu.cn OI peng, jian/0000-0003-0332-0248 FU National Natural Science Foundation of China [41322004] FX This research was financially supported by National Natural Science Foundation of China (No. 41322004). CR Abernethy V.D., 2001, ETHICS SCI ENV POLIT, V23, P9, DOI DOI 10.3354/ESEP001009 Arrow K, 1995, ECOL ECON, V15, P91, DOI 10.1016/0921-8009(95)00059-3 Bai XM, 2014, NATURE, V509, P158, DOI 10.1038/509158a Constanza Robert, 1999, Aquatic Ecology, V33, P105 COSTANZA R, 1992, ENVIRONMENT, V34, P12, DOI 10.1080/00139157.1992.9930930 Costanza R, 1995, ECOL ECON, V15, P89, DOI 10.1016/0921-8009(95)00074-7 de Jonge VN, 2012, OCEAN COAST MANAGE, V68, P169, DOI 10.1016/j.ocecoaman.2012.05.017 Editorial Board of Chinese Academy of Sciences, 1985, PHYS GEOGR CHIN, V10 Gao Y, 2014, ECOL INDIC, V39, P1, DOI 10.1016/j.ecolind.2013.11.025 Gong L, 2009, WATER RESOUR MANAG, V23, P2505, DOI 10.1007/s11269-008-9393-y Goyal SK, 2007, J ENVIRON MANAGE, V84, P473, DOI 10.1016/j.jenvman.2006.06.020 Graymore MLM, 2010, ECOL ECON, V69, P459, DOI 10.1016/j.ecolecon.2009.08.016 HARDIN G, 1986, BIOSCIENCE, V36, P599, DOI 10.1093/bioscience/36.9.599 Kang P, 2010, PROCEDIA ENVIRON SCI, V2, P1692, DOI 10.1016/j.proenv.2010.10.180 Lane M, 2014, ECOL MODEL, V272, P220, DOI 10.1016/j.ecolmodel.2013.10.006 LEVIN SA, 1992, ECOLOGY, V73, P1943, DOI 10.2307/1941447 Li PY, 2014, NATURE, V510, P29, DOI 10.1038/510029a Li SC, 2010, ENVIRON MODELL SOFTW, V25, P1789, DOI 10.1016/j.envsoft.2010.06.011 Li YF, 2014, ECOL INDIC, V42, P135, DOI 10.1016/j.ecolind.2013.09.032 Li YF, 2012, J ENVIRON MANAGE, V98, P127, DOI 10.1016/j.jenvman.2011.12.025 Li YF, 2010, ECOL MODEL, V221, P2251, DOI 10.1016/j.ecolmodel.2010.04.016 Li YR, 2010, APPL GEOGR, V30, P303, DOI 10.1016/j.apgeog.2009.11.001 Liu J., 2011, B ECOL SOC AM, V92, P218, DOI DOI 10.1890/0012-9623-92.2.218 Liu JG, 2007, AMBIO, V36, P639, DOI 10.1579/0044-7447(2007)36[639:CHANS]2.0.CO;2 Liu JG, 2007, SCIENCE, V317, P1513, DOI 10.1126/science.1144004 Liu RZ, 2011, J ENVIRON MANAGE, V92, P2047, DOI 10.1016/j.jenvman.2011.03.033 Liu YS, 2014, NATURE, V511, P410, DOI 10.1038/511410c [刘焱序 Liu Yanxu], 2014, [生态学报, Acta Ecologica Sinica], V34, P3188 Liu ZW, 2014, CLIMATIC CHANGE, V122, P313, DOI 10.1007/s10584-013-0979-x Lockie S., 2005, CONCEPTUAL FRAMEWORK Lou B, 2015, ECOL INDIC, V57, P514, DOI 10.1016/j.ecolind.2015.03.017 Ma R.F., 2011, GEOGR RES, V30, P1297 Mayr E., 1997, THIS IS BIOL SCI LIV Messerli B., 2000, IGU B, V50, P23 Pan F, 2012, J GEOGR SCI, V22, P329, DOI 10.1007/s11442-012-0930-5 Peng J, 2015, ECOL INDIC, V58, P254, DOI 10.1016/j.ecolind.2015.06.002 Peng J, 2012, ENVIRON MONIT ASSESS, V184, P4787, DOI 10.1007/s10661-011-2302-5 Peng J, 2008, SENSORS-BASEL, V8, P8201, DOI 10.3390/s8128201 Rediscovering Geography Committee, 1997, RED GEOGR NEW REL SC RENARD KG, 1991, J SOIL WATER CONSERV, V46, P30 Salerno F, 2013, J ENVIRON MANAGE, V128, P116, DOI 10.1016/j.jenvman.2013.04.043 Seidl I, 1999, ECOL ECON, V31, P395, DOI 10.1016/S0921-8009(99)00063-4 Sutton PC, 2012, ECOL INDIC, V16, P11, DOI 10.1016/j.ecolind.2011.03.008 Tehrani NA, 2013, ECOL INDIC, V32, P197, DOI 10.1016/j.ecolind.2013.03.022 Thebault J, 2008, WETLANDS, V28, P841, DOI 10.1672/07-190.1 Toumi S, 2013, HYDROLOG SCI J, V58, P1542, DOI 10.1080/02626667.2013.824088 Wackernagel M., 1996, OUR ECOLOGICAL FOOTP Wang S, 2014, SCI TOTAL ENVIRON, V472, P1070, DOI 10.1016/j.scitotenv.2013.11.115 Wang WY, 2013, SUSTAINABILITY-BASEL, V5, P5391, DOI 10.3390/su5125391 Wei C, 2014, OCEAN COAST MANAGE, V93, P51, DOI 10.1016/j.ocecoaman.2014.02.009 Wei YG, 2015, HABITAT INT, V46, P64, DOI 10.1016/j.habitatint.2014.10.015 Wu TT, 2013, APPL GEOGR, V44, P112, DOI 10.1016/j.apgeog.2013.07.012 [谢高地 XIE Gao-di], 2008, [自然资源学报, Journal of Natural Resources], V23, P911 Xie HL, 2015, ECOL INDIC, V51, P3, DOI 10.1016/j.ecolind.2014.08.042 Xu JC, 2004, BIODIVERS CONSERV, V13, P959, DOI 10.1023/B:BIOC.0000014464.80847.02 Zheng DF, 2015, CHINESE GEOGR SCI, V25, P237, DOI 10.1007/s11769-014-0732-z NR 56 TC 18 Z9 28 U1 17 U2 118 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD JAN PY 2016 VL 60 BP 1017 EP 1030 DI 10.1016/j.ecolind.2015.09.008 PG 14 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CZ9GW UT WOS:000367407000103 DA 2019-04-09 ER PT J AU Lam, JTL Koldewey, HJ Yasue, M Vincent, ACJ AF Lam, Joy T. L. Koldewey, Heather J. Yasue, Mai Vincent, Amanda C. J. TI Comparing interview and trade data in assessing changes in the seahorse Hippocampus spp. trade following CITES listing SO ORYX LA English DT Article DE Local knowledge; market surveys; traditional Chinese medicine; wildlife trade ID WILDLIFE TRADE; INTERNATIONAL-TRADE; CONSERVATION; MANAGEMENT; IMPACTS AB Concerns regarding the sustainability of the seahorse Hippocampus spp. trade led to their listing on CITES Appendix II in 2002, with implementation in 2004. In 2007 we interviewed wholesale traders of seahorses in Hong Kong, China, seeking indications of the effects of the CITES listing on the seahorse trade. We cross-validated traders' perspectives with government trade statistics (1998-2007) from Hong Kong and Taiwan. We also compared these data with trade statistics for pipefish, which are related species with similar medicinal uses but are not CITES-listed. Both the interviews and government statistics indicated reduced volumes of seahorses traded through Hong Kong, changes in source countries, and price increases post-implementation. Traders suggested that these changes were largely a result of the CITES listing. However, data indicate that other factors such as shifts in domestic policies and local demand may also have affected the trade. By cross-validating the perspectives of local stakeholders with trade statistics in a wildlife trading hub we were able to explore hypotheses on the local and global impacts of CITES. Such approaches are especially important for CITES-listed species because often there is no single data source that is complete and wholly reliable. C1 [Lam, Joy T. L.; Yasue, Mai; Vincent, Amanda C. J.] Univ British Columbia, Fisheries Ctr, Project Seahorse, Vancouver, BC V6T 1Z4, Canada. [Koldewey, Heather J.] Zool Soc London, Project Seahorse, London, England. [Lam, Joy T. L.] Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China. [Yasue, Mai] Quest Univ Canada, Squamish, BC, Canada. RP Yasue, M (reprint author), Univ British Columbia, Fisheries Ctr, Project Seahorse, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada. EM maiyasue@gmail.com FU Wallace Global Fund; John G. Shedd Aquarium; Guylian Chocolates; NSERC FX This is a contribution from Project Seahorse. We are grateful to anonymous referees, Boris Kwan, Samuel Lee, Timothy Ng Sau Kin (Ocean Park Conservation Foundation), Craig Kirkpatrick (formerly TRAFFIC East Asia), Yvonne Sadovy (University of Hong Kong), Tsang Chiu Hing (HKCMMA), Alfred KC Wong (Agriculture, Fisheries and Conservation Department), Shen Jian Gang (University of Hong Kong), Tamara Trafton and Negar Elmieh (Quest University Canada) and members of the Project Seahorse team for support and comments. We received financial support from the Wallace Global Fund, John G. Shedd Aquarium, Guylian Chocolates and an NSERC Post-doctoral Fellowship. CR Blundell AG, 2005, CONSERV BIOL, V19, P2020, DOI 10.1111/j.1523-1739.2005.00253.x Burkhart EP, 2012, BIODIVERS CONSERV, V21, P3657, DOI 10.1007/s10531-012-0389-9 Cheung SM, 2006, AQUAT CONSERV, V16, P751, DOI 10.1002/aqc.803 Christie P., 2011, 1058 FAO CITES, 1979, CONV INT TRAD END SP Dongol Y, 2012, ENVIRON MANAGE, V50, P181, DOI 10.1007/s00267-012-9896-4 Doukakis P, 2009, CONSERV BIOL, V23, P841, DOI 10.1111/j.1523-1739.2009.01281.x Evanson M., 2011, FISH CTR RES REP, V19, P1 Ferraro PJ, 2007, J ENVIRON ECON MANAG, V54, P245, DOI 10.1016/j.jeem.2007.01.002 Ferraro PJ, 2006, PLOS BIOL, V4, P482, DOI 10.1371/journal.pbio.0040105 Foster SJ, 2005, CONSERV BIOL, V19, P1044, DOI 10.1111/j.1523-1739.2005.00192.x Gastanaga M, 2011, BIRD CONSERV INT, V21, P76, DOI 10.1017/S0959270910000249 JMAN V., 2007, CONTRIBUTIONS ZOOLOG, V76, P207 Karesh WB, 2007, J WILDLIFE DIS, V43, pS55 Lourie SA, 2004, GUIDE IDENTIFICATION Natusch DJD, 2012, BIODIVERS CONSERV, V21, P2899, DOI 10.1007/s10531-012-0345-8 Poh TM, 2012, MAR POLICY, V36, P696, DOI 10.1016/j.marpol.2011.10.011 R Development Core Team, 2012, R LANG ENV STAT COMP Reeve R, 2006, INT AFF, V82, P881, DOI 10.1111/j.1468-2346.2006.00576.x Shuman CS, 2005, CORAL REEFS, V24, P564, DOI 10.1007/s00338-005-0027-z Smith MJ, 2011, BIOL CONSERV, V144, P82, DOI 10.1016/j.biocon.2010.10.018 Sreepada RA, 2002, CURR SCI INDIA, V82, P377 Vincent ACJ, 2011, J FISH BIOL, V78, P1681, DOI 10.1111/j.1095-8649.2011.03003.x Vincent A. C. J., 1996, INT TRADE SEAHORSES Winter S, 2011, BIODIVERS CONSERV, V20, P1763, DOI 10.1007/s10531-011-0060-x ZHANG E. D., 2000, CONSERVATION ENDANGE NR 26 TC 3 Z9 3 U1 0 U2 17 PU CAMBRIDGE UNIV PRESS PI NEW YORK PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA SN 0030-6053 EI 1365-3008 J9 ORYX JI Oryx PD JAN PY 2016 VL 50 IS 1 BP 36 EP 46 DI 10.1017/S0030605314000246 PG 11 WC Biodiversity Conservation; Ecology SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CZ9EF UT WOS:000367399900011 OA Bronze DA 2019-04-09 ER PT J AU Lin, PSS Liu, YL AF Lin, Pei-Shan Sonia Liu, Yen-Lan TI Niching sustainability in an Indigenous community: protected areas, autonomous initiatives, and negotiating power in natural resource management SO SUSTAINABILITY SCIENCE LA English DT Article DE Sustainability and Indigenous people; Game theory; Community-based natural resource management (CBNRM); Protected areas; Power ID TAIWAN; PEOPLE; CONSERVATION; ECOTOURISM; RETHINKING; RESILIENCE; THAILAND; IMPACTS AB Although sustainability science has been developed within the Western knowledge system, and Indigenous science has been studied at the local level, these two streams of thought are premised on a common understanding of the relationship between humans and the environment. The practitioners of each, however, have not yet engaged in productive, practical dialog. This paper used cooperative game theory to better understand the choices and tradeoffs made by Indigenous Taiwanese villagers who were in a "competitive" situation with regard to Indigenous autonomy and government-led protected areas. The aim was to understand how interactions among different groups of local people could affect community-based natural resource management (CBNRM) processes that aim to balance environmental sustainability with Indigenous autonomy. Results show that the knowledge and rights of Indigenous people could be part of a compromising collaboration with legislation-supported protected areas, if this collaboration benefits Indigenous autonomy as well as sustainability of the local environment and livelihoods. Indigenous science can inform changing landscapes, while sustainability science can provide analytical approaches and planning schemes for resilience. We suggest, though, that the trade-off process should be open and include a well-communicated mechanism through which all parties can negotiate power in a mutually agreeable way, merging Indigenous and sustainability concerns into one actionable collaboration. The types of conflicts analyzed in this study are characteristic of the conflicts typically associated with sustainable development. C1 [Lin, Pei-Shan Sonia] Cent Police Univ, Grad Sch Disaster Management, Taoyuan 33304, Taiwan. [Liu, Yen-Lan] Taipei Med Univ, Coll Humanities & Social Sci, Taipei 110, Taiwan. RP Lin, PSS (reprint author), Cent Police Univ, Grad Sch Disaster Management, 56 Shujen Rd, Taoyuan 33304, Taiwan. EM f97228001@ntu.edu.tw CR Anderies JM, 2011, ECOL ECON, V70, P1571, DOI 10.1016/j.ecolecon.2011.01.011 Aquino d' P, 2002, GEOCARREFOUR, V76, P233 Athanasiou T., 1996, DIVIDED PLANET ECOLO Bailey M, 2010, FISH RES, V102, P1, DOI 10.1016/j.fishres.2009.11.003 Barber CV, 2004, SECURING PROTECTED A, P97 Bennett NJ, 2014, MAR POLICY, V44, P107, DOI 10.1016/j.marpol.2013.08.017 Berkes F., 2002, PANARCHY UNDERSTANDI Berkes F, 2009, J ENVIRON MANAGE, V90, P1692, DOI 10.1016/j.jenvman.2008.12.001 Borrini-Feyerabend G, 2012, BIOCULTURAL DIVERSIT Borrini-Feyerabend G., 2007, SHARING POWER LEARNI Brosius J. P., 2005, COMMUNITIES CONSERVA Cascio AL, 2010, CAMBODIA ENV CONSERV, V37, P347 Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008 COLEMAN JS, 1988, AM J SOCIOL, V94, pS95, DOI 10.1086/228943 Davidson DJ, 2010, SOC NATUR RESOUR, V23, P1135, DOI 10.1080/08941921003652940 Folke C, 1998, LINKING SOCIAL ECOLO, P414 Gibson C. C., 2001, COMMUNITIES ENV ETHN, P1 Gooch M, 2010, AUST GEOGR, V41, P507, DOI 10.1080/00049182.2010.519698 Grix J., 2004, FDN RES HARDIN G, 1968, SCIENCE, V162, P1243 Hipwell WT, 2007, ANN TOURISM RES, V34, P876, DOI 10.1016/j.annals.2007.04.002 Howitt R, 2006, GEOGR ANN B, V88B, P323, DOI 10.1111/j.1468-0459.2006.00225.x Hualien County Government, 2005, HUAL RIV TRAV BOOK Liao SC, 1984, CULTURE ATAYAL TRIBA Lin KH, 2013, PROG DEV STUD, V13, P1, DOI 10.1177/146499341201300101 Lin PS, 2011, NAT RESOUR FORUM, V35, P134, DOI 10.1111/j.1477-8947.2011.01384.x Lu DJ, 2012, SOC NATUR RESOUR, V25, P105, DOI 10.1080/08941920.2011.630338 Lu DJ, 2011, TAIW POLIT SCI REV, V15, P137 Madani K, 2010, J HYDROL, V381, P225, DOI 10.1016/j.jhydrol.2009.11.045 Martinez A, 1995, CONSERVATION BIODIVE, P93 Measham TG, 2013, ENVIRON MANAGE, V52, P649, DOI 10.1007/s00267-013-0114-9 Mitchell B, 1989, GEOGRAPHY RESOURCE A Oppenheimer J, 2007, MD L REV, V67, P85 Ostrom E, 1990, GOVERNING COMMONS EV Rousseau JJ, 1763, SOCIAL CONTRACT Saglie IL, 2006, NETWORKS AND INSTITUTIONS IN NATURAL RESOURCE MANAGEMENT, P1 Scheyvens R, 1999, TOURISM MANAGE, V20, P245, DOI 10.1016/S0261-5177(98)00069-7 Slocum R., 1995, POWER PROCESS PARTIC Sudtongkong C, 2008, ECOL SOC, V13 Sun DC, 2006, PGKLA NSGAN BSURING Tai HS, 2007, WORLD DEV, V35, P1186, DOI 10.1016/j.worlddev.2006.09.015 Trochim W., 2007, RES METHODS KNOWLEDG Tsai BW, 2013, GEOGR REV, V103, P390, DOI 10.1111/j.1931-0846.2013.00005.x Tsai FN, 2011, 20 YEARS OFELIA BACK Williams J. F., 2008, TAIWANS ENV STRUGGLE NR 45 TC 2 Z9 2 U1 2 U2 42 PU SPRINGER JAPAN KK PI TOKYO PA CHIYODA FIRST BLDG EAST, 3-8-1 NISHI-KANDA, CHIYODA-KU, TOKYO, 101-0065, JAPAN SN 1862-4065 EI 1862-4057 J9 SUSTAIN SCI JI Sustain. Sci. PD JAN PY 2016 VL 11 IS 1 BP 103 EP 113 DI 10.1007/s11625-015-0294-8 PG 11 WC Green & Sustainable Science & Technology; Environmental Sciences SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA CZ8JZ UT WOS:000367347300009 DA 2019-04-09 ER PT J AU Poff, NL Brown, CM Grantham, T Matthews, JH Palmer, MA Spence, CM Wilby, RL Haasnoot, M Mendoza, GF Dominique, KC Baeza, A AF Poff, N. LeRoy Brown, Casey M. Grantham, TheodoreE. Matthews, John H. Palmer, Margaret A. Spence, Caitlin M. Wilby, Robert L. Haasnoot, Marjolijn Mendoza, Guillermo F. Dominique, Kathleen C. Baeza, Andres TI Sustainable water management under future uncertainty with eco-engineering decision scaling SO NATURE CLIMATE CHANGE LA English DT Article ID CLIMATE-CHANGE; ECOLOGICAL CONSEQUENCES; ENVIRONMENTAL FLOWS; BASIC PRINCIPLES; INFRASTRUCTURE; ADAPTATION; ECOSYSTEM; DAMS; CONSERVATION; BIODIVERSITY AB Managing freshwater resources sustainably under future climatic and hydrological uncertainty poses novel challenges. Rehabilitation of ageing infrastructure and construction of new dams are widely viewed as solutions to diminish climate risk, but attaining the broad goal of freshwater sustainability will require expansion of the prevailing water resources management paradigm beyond narrow economic criteria to include socially valued ecosystem functions and services. We introduce a new decision framework, eco-engineering decision scaling (EEDS), that explicitly and quantitatively explores trade-offs in stake-holder-defined engineering and ecological performance metrics across a range of possible management actions under unknown future hydrological and climate states. We illustrate its potential application through a hypothetical case study of the Iowa River, USA. EEDS holds promise as a powerful framework for operationalizing freshwater sustainability under future hydrological uncertainty by fostering collaboration across historically conflicting perspectives of water resource engineering and river conservation ecology to design and operate water infrastructure for social and environmental benefits. C1 [Poff, N. LeRoy] Colorado State Univ, Dept Biol, Ft Collins, CO 80523 USA. [Poff, N. LeRoy; Spence, Caitlin M.] Colorado State Univ, Grad Degree Program Ecol, Ft Collins, CO 80523 USA. [Brown, Casey M.; Spence, Caitlin M.] Univ Massachusetts, Civil & Environm Engn, Amherst, MA 01003 USA. [Grantham, TheodoreE.] US Geol Survey, Ft Collins Sci Ctr, Ft Collins, CO 80526 USA. [Matthews, John H.] Alliance Global Water Adaptat, Orlando, FL USA. [Palmer, Margaret A.] Univ Maryland, Natl Socioenvironm Synth Ctr, Annapolis, MD 21401 USA. [Wilby, Robert L.] Univ Loughborough, Dept Geog, Loughborough LE11 3TU, Leics, England. [Haasnoot, Marjolijn] Deltares, Dept Scenarios & Policy Anal, NL-2600 MH Delft, Netherlands. [Haasnoot, Marjolijn] Delft Univ Technol, Fac Technol Policy & Management, NL-2600 GA Delft, Netherlands. [Mendoza, Guillermo F.] US Army Corps Engineers, Inst Water Resources, Alexandria, VA 22315 USA. [Dominique, Kathleen C.] Org Econ Cooperat & Dev, F-75775 Paris, France. [Baeza, Andres] Natl Socioenvironm Synth Ctr, Annapolis, MD 21401 USA. RP Poff, NL (reprint author), Colorado State Univ, Dept Biol, Campus Mail 1878, Ft Collins, CO 80523 USA. EM NLeRoy.Poff@colostate.edu RI Haasnoot, Marjolijn/H-4827-2012 OI Haasnoot, Marjolijn/0000-0002-9062-4698; Poff, N LeRoy/0000-0002-1390-8742; matthews, john/0000-0002-7005-2661 FU NSF CAREER Award [CBET-1054762]; National Socio-Environmental Synthesis Center (SESYNC) under National Science Foundation [DBI-1052875] FX We acknowledge S. Steinschneider for developing the stochastic weather generator for the Iowa River Basin; S. Wi for the VIC hydrologic model development; D. LeFever for support in developing the reservoir systems model; and R. Olsen for his help in providing hydraulic modelling tools and economic information for the Coralville Lake flood control system. Special thanks to P. Clark for artwork in Fig. 1. Additional support for C.M.B. and C.M.S was provided by the NSF CAREER Award (CBET-1054762). The views in this article are those of the authors and do not necessarily represent the views of the OECD or its member countries. This article has been peer reviewed and approved for publication consistent with USGS Fundamental Science Practices (http://pubs.usgs.gov/circ/1367/) and we thank J. Friedman of the USGS for his constructive comments. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. This paper resulted from a synthesis project funded by the National Socio-Environmental Synthesis Center (SESYNC) under National Science Foundation Award #DBI-1052875. CR Acreman M, 2014, FRONT ECOL ENVIRON, V12, P466, DOI 10.1890/130134 Allen CR, 2011, WILDLIFE BIOL, V17, P337, DOI 10.2981/10-084 [Anonymous], 2014, INT COMMISSION LARGE [Anonymous], 2007, 10 INT RIV S [Anonymous], WAT EV PLANN WEAP SY [Anonymous], 2005, NAT WAT IN [Anonymous], 2011, AQ EC WAT QUAL GLOB [Anonymous], 2011, NAT ACT PLAN PRIOR M Ansar A, 2014, ENERG POLICY, V69, P43, DOI 10.1016/j.enpol.2013.10.069 Armah J., 2009, PRINCIPLES EVALUATIN Arthington AH, 2012, ENV FLOWS SAVING RIV Auerbach DA, 2014, ECOSYST SERV, V10, P1, DOI 10.1016/j.ecoser.2014.07.005 Brown C, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR011212 Brown C, 2011, J AM WATER RESOUR AS, V47, P524, DOI 10.1111/j.1752-1688.2011.00552.x Brown C, 2010, J WATER RES PL-ASCE, V136, P143, DOI 10.1061/(ASCE)WR.1943-5452.65 Brown PH, 2009, J ENVIRON MANAGE, V90, pS303, DOI 10.1016/j.jenvman.2008.07.025 Bunn SE, 2002, ENVIRON MANAGE, V30, P492, DOI 10.1007/s00267-002-2737-0 Cuo L, 2008, HYDROL PROCESS, V22, P4205, DOI 10.1002/hyp.7023 CUSHMAN R M, 1985, North American Journal of Fisheries Management, V5, P330, DOI 10.1577/1548-8659(1985)5<330:ROEEOR>2.0.CO;2 Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950 European Commission, 2015, EC FLOWS IMPL WAT FR Folke C, 2010, ECOL SOC, V15 Gedan KB, 2011, CLIMATIC CHANGE, V106, P7, DOI 10.1007/s10584-010-0003-7 Ghile YB, 2014, CLIMATIC CHANGE, V122, P97, DOI 10.1007/s10584-013-1008-9 Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967 Gregory R., 2012, STRUCTURED DECISION Griggs D, 2013, NATURE, V495, P305, DOI 10.1038/495305a Grill G, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/1/015001 Haasnoot M, 2011, SUSTAIN DEV, V19, P369, DOI 10.1002/sd.438 Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006 Haasnoot M, 2012, CLIMATIC CHANGE, V115, P795, DOI 10.1007/s10584-012-0444-2 Hallegatte S., 2012, INVESTMENT DECISION Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003 Hermoso V, 2012, FRESHWATER BIOL, V57, P1, DOI 10.1111/j.1365-2427.2011.02693.x Hobbs RJ, 2009, TRENDS ECOL EVOL, V24, P599, DOI 10.1016/j.tree.2009.05.012 Humphries P, 2009, BIOSCIENCE, V59, P673, DOI 10.1525/bio.2009.59.8.9 Jager HI, 2015, RENEW SUST ENERG REV, V45, P808, DOI 10.1016/j.rser.2015.01.067 Kareiva PM, 2012, P NATL ACAD SCI USA, V109, P5553, DOI 10.1073/pnas.1203263109 Kwadijk JCJ, 2010, WIRES CLIM CHANGE, V1, P729, DOI 10.1002/wcc.64 La Quesne T., 2010, IMPLEMENTATION CHALL Lehner B, 2011, FRONT ECOL ENVIRON, V9, P494, DOI 10.1890/100125 Liang X, 1994, J GEOPHYS RES-ATMOS, V99, P14415, DOI 10.1029/94JD00483 Liermann CR, 2012, BIOSCIENCE, V62, P539, DOI 10.1525/bio.2012.62.6.5 Lovett RA, 2014, NATURE, V511, P521, DOI 10.1038/511521a Maurer EP, 2002, J CLIMATE, V15, P3237, DOI 10.1175/1520-0442(2002)015<3237:ALTHBD>2.0.CO;2 Millenium Ecosystem Assessment, 2005, MILL EC ASS EC HUM W Milly PCD, 2008, SCIENCE, V319, P573, DOI 10.1126/science.1151915 Moody P, 2013, WATER RESOUR RES, V49, P3576, DOI 10.1002/wrcr.20228 Moody P, 2012, WATER RESOUR RES, V48, DOI 10.1029/2012WR012497 Moyle PB, 2014, RIVER RES APPL, V30, P1335, DOI 10.1002/rra.2709 Muller M, 2015, WATER ALTERN, V8, P675 Nilsson C, 2002, ENVIRON MANAGE, V30, P468, DOI 10.1007/s00267-002-2735-2 Olden JD, 2014, FRONT ECOL ENVIRON, V12, P176, DOI 10.1890/130076 Opperman JJ, 2010, J AM WATER RESOUR AS, V46, P211, DOI 10.1111/j.1752-1688.2010.00426.x Organization for Economic Co operation and Development (OECD), 2013, WAT CLIM CHANG AD PO Pahl-Wostl C, 2013, CURR OPIN ENV SUST, V5, P341, DOI 10.1016/j.cosust.2013.06.009 Pearce D, 2006, COST BENEFIT ANAL EN Pittock J, 2010, J INTEGR ENVIRON SCI, V7, P75, DOI 10.1080/19438151003603159 Poff NL, 2007, P NATL ACAD SCI USA, V104, P5732, DOI 10.1073/pnas.0609812104 Poff NL, 2014, FRONT ECOL ENVIRON, V12, P427, DOI 10.1890/1540-9295-12.8.427 Poff NL, 2010, FRESHWATER BIOL, V55, P147, DOI 10.1111/j.1365-2427.2009.02204.x Poff NL, 1997, BIOSCIENCE, V47, P769, DOI 10.2307/1313099 Ranger N, 2013, EURO J DECIS PROCESS, V1, P233, DOI 10.1007/s40070-013-0014-5 Reed MS, 2008, BIOL CONSERV, V141, P2417, DOI 10.1016/j.biocon.2008.07.014 Reuss M, 2005, ECOL SOC, V10 Richter B. D., 2010, WATER ALTERN, V3, P14, DOI DOI 10.1007/S11195-009-9131-2 Richter BD, 2003, ECOL APPL, V13, P206, DOI 10.1890/1051-0761(2003)013[0206:ESWMMR]2.0.CO;2 Rocheta E, 2014, WATER RESOUR RES, V50, P2108, DOI 10.1002/2012WR013085 Rockstrom J, 2014, ECOHYDROLOGY, V7, P1249, DOI 10.1002/eco.1562 Schoeman J, 2014, INT J WATER RESOUR D, V30, P377, DOI 10.1080/07900627.2014.907087 Singh R, 2014, WATER RESOUR RES, V50, P3409, DOI 10.1002/2013WR014988 Stainforth DA, 2007, PHILOS T R SOC A, V365, P2145, DOI 10.1098/rsta.2007.2074 Stakhiv EZ, 2011, J AM WATER RESOUR AS, V47, P1183, DOI 10.1111/j.1752-1688.2011.00589.x Steinschneider S, 2015, HYDROL PROCESS, V29, P2823, DOI 10.1002/hyp.10409 Steinschneider S, 2013, WATER RESOUR RES, V49, P7205, DOI 10.1002/wrcr.20528 Suen JP, 2006, WATER RESOUR RES, V42, DOI 10.1029/2005WR004314 Sun Y, 2006, J CLIMATE, V19, P916, DOI 10.1175/JCLI3672.1 Tockner K, 2002, ENVIRON CONSERV, V29, P308, DOI 10.1017/S037689290200022X Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001 Vorosmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440 Walker WE, 2013, SUSTAINABILITY-BASEL, V5, P955, DOI 10.3390/su5030955 Watts RJ, 2011, MAR FRESHWATER RES, V62, P321, DOI 10.1071/MF10047 Weaver CP, 2013, WIRES CLIM CHANGE, V4, P39, DOI 10.1002/wcc.202 Whateley S, 2014, WATER RESOUR RES, V50, P8944, DOI 10.1002/2014WR015956 Wiens JA, 2015, BIOSCIENCE, V65, P302, DOI 10.1093/biosci/biu235 Wilby RL, 2011, WATER RESOUR RES, V47, DOI 10.1029/2011WR011194 Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543 World Commission on Dams, 2000, DAMS DEV NEW FRAM DE Yin XA, 2011, WATER RESOUR RES, V47, DOI 10.1029/2010WR009991 Zarfl C, 2015, AQUAT SCI, V77, P161, DOI 10.1007/s00027-014-0377-0 NR 90 TC 109 Z9 111 U1 37 U2 184 PU NATURE PUBLISHING GROUP PI LONDON PA MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND SN 1758-678X EI 1758-6798 J9 NAT CLIM CHANGE JI Nat. Clim. Chang. PD JAN PY 2016 VL 6 IS 1 BP 25 EP 34 DI 10.1038/NCLIMATE2765 PG 10 WC Environmental Sciences; Environmental Studies; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences GA CZ3UZ UT WOS:000367030800014 HC Y HP N DA 2019-04-09 ER PT J AU Vico, G Manzoni, S Nkurunziza, L Murphy, K Weih, M AF Vico, Giulia Manzoni, Stefano Nkurunziza, Libere Murphy, Kevin Weih, Martin TI Trade-offs between seed output and life span - a quantitative comparison of traits between annual and perennial congeneric species SO NEW PHYTOLOGIST LA English DT Article DE agricultural sustainability; annual species; biomass allocation; ecophysiological trade-offs; perennial species ID 9 BILLION-PEOPLE; GRAIN CROPS; ECONOMICS SPECTRUM; USE EFFICIENCY; CEREAL CROPS; WHEAT; METAANALYSIS; PLANTS; DOMESTICATION; NITROGEN AB Perennial plants allocate more resources belowground, thus sustaining important ecosystem services. Hence, shifting from annual to perennial crops has been advocated towards a more sustainable agriculture. Nevertheless, wild perennial species have lower seed production than selected annuals, raising the questions of whether there is a fundamental trade-off between reproductive effort and life span, and whether such trade-off can be overcome through selection. In order to address these questions and to isolate life span from phylogenetic and environmental factors, we conducted a meta-analysis encompassing c. 3000 congeneric annual/perennial pairs from 28 genera. This meta-analysis is complemented with a minimalist model of long-term productivity in perennial species. Perennials allocate more resources belowground and less to seeds than congeneric annuals, independently of selection history. However, existing perennial wheat and rice could achieve yields similar to annuals if they survived three years and each year doubled their biomass, as other perennial grasses do. Selected perennial crops maintain the large belowground allocation of wild perennials, and thus can provide desired regulatory ecosystem services. To match the seed yield of annuals, biomass production of perennial grains must be increased to amounts attained by some perennial grasses - if this goal can be met, perennial crops can provide a more sustainable alternative to annuals. C1 [Vico, Giulia; Nkurunziza, Libere; Weih, Martin] Swedish Univ Agr Sci, Dept Crop Prod Ecol, S-75007 Uppsala, Sweden. [Manzoni, Stefano] Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden. [Manzoni, Stefano] Stockholm Univ, Bolin Ctr Climate Res, S-10691 Stockholm, Sweden. [Murphy, Kevin] Washington State Univ, Dept Crop & Soil Sci, Pullman, WA 99164 USA. RP Vico, G (reprint author), Swedish Univ Agr Sci, Dept Crop Prod Ecol, S-75007 Uppsala, Sweden. EM giulia.vico@slu.se RI Manzoni, Stefano/C-5330-2009; Weih, Martin/H-5093-2011; Vico, Giulia/A-6296-2010 OI Manzoni, Stefano/0000-0002-5960-5712; Weih, Martin/0000-0003-3823-9183; Vico, Giulia/0000-0002-7849-2653 FU project 'AgResource - Resource Allocation in Agriculture', from the Faculty of Natural Resources and Agricultural Sciences, Swedish University of Agricultural Sciences; Faculty of Natural Resources and Agricultural Sciences; Swedish University of Agricultural Sciences FX We thank R. Milla and two anonymous reviewers for their constructive critiques on an earlier version of the manuscript, N. C. Hautekeete for providing unpublished raw data, T. E. Crews and D. A. Way for useful discussions, and L. Klein for edits and suggestions. G. V., L. N. and M. W. acknowledge the support of the project 'AgResource - Resource Allocation in Agriculture', from the Faculty of Natural Resources and Agricultural Sciences, Swedish University of Agricultural Sciences. The discussions within this project were instrumental to the development of the ideas forming the basis of this work. S.M. was supported in part by an excellence grant from the Faculty of Natural Resources and Agricultural Sciences and the vice-chancellor of the Swedish University of Agricultural Sciences. CR Adams DC, 1997, ECOLOGY, V78, P1277, DOI 10.2307/2265879 Ash N., 2005, ECOSYSTEMS HUMAN WEL Asplund L, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0059704 Batello C., 2014, PERENNIAL CROPS FOOD BAZZAZ FA, 1987, BIOSCIENCE, V37, P58, DOI 10.2307/1310178 Bena G, 1998, P ROY SOC B-BIOL SCI, V265, P1141, DOI 10.1098/rspb.1998.0410 BLOOM AJ, 1985, ANNU REV ECOL SYST, V16, P363, DOI 10.1146/annurev.es.16.110185.002051 CHAPIN FS, 1980, ANNU REV ECOL SYST, V11, P233, DOI 10.1146/annurev.es.11.110180.001313 Cox TS, 2006, BIOSCIENCE, V56, P649, DOI 10.1641/0006-3568(2006)56[649:PFDPGC]2.0.CO;2 Crews TE, 2005, RENEW AGR FOOD SYST, V20, P25, DOI 10.1079/RAF200497 Crews TE, 2015, AGROECOL SUST FOOD, V39, P500, DOI 10.1080/21683565.2015.1008777 Crews TE, 2014, AGR ECOSYST ENVIRON, V184, P168, DOI 10.1016/j.agee.2013.11.022 Culman SW, 2013, AGRON J, V105, P735, DOI 10.2134/agronj2012.0273 DeHaan LR, 2014, AM J BOT, V101, P1801, DOI 10.3732/ajb.1400084 DeHaan LR, 2005, RENEW AGR FOOD SYST, V20, P5, DOI 10.1079/RAF200496 Denison RF., 2012, DARWINIAN AGR UNDERS Friedman J, 2015, AM J BOT, V102, P497, DOI 10.3732/ajb.1500062 GARNIER E, 1992, J ECOL, V80, P665, DOI 10.2307/2260858 Glover JD, 2010, SCIENCE, V328, P1638, DOI 10.1126/science.1188761 Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Griffith SM, 2000, ANN BOT-LONDON, V85, P675, DOI 10.1006/anbo.2000.1125 Hall MC, 2006, GENETICS, V172, P1829, DOI 10.1534/genetics.105.051227 Hautekeete NC, 2001, J EVOLUTION BIOL, V14, P795, DOI 10.1046/j.1420-9101.2001.00322.x Hayes RC, 2012, FIELD CROP RES, V133, P68, DOI 10.1016/j.fcr.2012.03.014 Hedges LV, 1999, ECOLOGY, V80, P1150, DOI 10.1890/0012-9658(1999)080[1150:TMAORR]2.0.CO;2 Jacquemin J, 2013, CURR OPIN PLANT BIOL, V16, P147, DOI 10.1016/j.pbi.2013.02.014 Jaikumar NS, 2012, AGRON J, V104, P1716, DOI 10.2134/agronj2012.0291 Kelly CK, 2005, AM J BOT, V92, P1586, DOI 10.3732/ajb.92.9.1586 Larkin PJ, 2014, CROP PASTURE SCI, V65, P1147, DOI 10.1071/CP13330 Meyer RS, 2013, NAT REV GENET, V14, P840, DOI 10.1038/nrg3605 Meyer RS, 2012, NEW PHYTOL, V196, P29, DOI 10.1111/j.1469-8137.2012.04253.x Milla R, 2014, P BIOL SCI ROYAL SOC, V281, P1 Milla R, 2013, J EXP BOT, V64, P3137, DOI 10.1093/jxb/ert147 MORISHIMA H, 1984, PLANT SYST EVOL, V144, P119, DOI 10.1007/BF00986670 Murphy KM, 2009, RENEW AGR FOOD SYST, V24, P285, DOI 10.1017/S1742170509990159 Osenberg CW, 1999, ECOLOGY, V80, P1105, DOI 10.2307/177058 Pimentel D, 2012, AGR ECOSYST ENVIRON, V161, P1, DOI 10.1016/j.agee.2012.05.025 Poeplau C, 2011, GLOBAL CHANGE BIOL, V17, P2415, DOI 10.1111/j.1365-2486.2011.02408.x Pogna N, 2014, PERENNIAL CROPS FOOD, P54 Poorter H, 2012, NEW PHYTOL, V193, P30, DOI 10.1111/j.1469-8137.2011.03952.x Poorter H, 2009, NEW PHYTOL, V182, P565, DOI 10.1111/j.1469-8137.2009.02830.x Raun WR, 1999, AGRON J, V91, P357, DOI 10.2134/agronj1999.00021962009100030001x Reich PB, 2014, J ECOL, V102, P275, DOI 10.1111/1365-2745.12211 Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Saarela Jeffery M., 2007, Aliso, V23, P450 Sacks EJ, 2007, FIELD CROP RES, V100, P155, DOI 10.1016/j.fcr.2006.06.003 Sacks EJ, 2006, FIELD CROP RES, V95, P39, DOI 10.1016/j.fcr.2005.01.021 Sacks EJ, 2003, CROP SCI, V43, P120, DOI 10.2135/cropsci2003.1200 Sadras VO, 2013, EUR J AGRON, V46, P34, DOI 10.1016/j.eja.2012.11.008 Scheinost P. L., 2001, American Journal of Alternative Agriculture, V16, P147 Smaje C, 2015, AGROECOL SUST FOOD, V39, P471, DOI 10.1080/21683565.2015.1007200 TILMAN D, 1991, ECOLOGY, V72, P685, DOI 10.2307/2937208 Tribouillois H, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0122156 Van Tassel DL, 2010, EVOL APPL, V3, P434, DOI 10.1111/j.1752-4571.2010.00132.x WAGONER P, 1990, CRIT REV PLANT SCI, V9, P381, DOI 10.1080/07352689009382298 Weih M, 2003, NEW PHYTOL, V158, P7, DOI 10.1046/j.1469-8137.2003.00716.x Weik L, 2002, J AGRON CROP SCI, V188, P342, DOI 10.1046/j.1439-037X.2002.00580.x WILSON SD, 1991, OECOLOGIA, V88, P61, DOI 10.1007/BF00328404 Wright IJ, 2004, NATURE, V428, P821, DOI 10.1038/nature02403 NR 59 TC 20 Z9 20 U1 6 U2 79 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0028-646X EI 1469-8137 J9 NEW PHYTOL JI New Phytol. PD JAN PY 2016 VL 209 IS 1 BP 104 EP 114 DI 10.1111/nph.13574 PG 11 WC Plant Sciences SC Plant Sciences GA CX0NM UT WOS:000365393700015 PM 26214792 OA Bronze DA 2019-04-09 ER PT J AU Kuhn, P Huber, M Dorfner, J Hamacher, T AF Kuhn, Philipp Huber, Matthias Dorfner, Johannes Hamacher, Thomas TI Challenges and opportunities of power systems from smart homes to super-grids SO AMBIO LA English DT Article DE Renewable energy; Sustainability; Scaling; Transformation of energy systems; Socio-technical complexity ID SOLAR POWER; EUROPE; INTEGRATION; EXTENSIONS; STORAGE; NEEDS; WIND AB The world's power systems are facing a structural change including liberalization of markets and integration of renewable energy sources. This paper describes the challenges that lie ahead in this process and points out avenues for overcoming different problems at different scopes, ranging from individual homes to international super-grids. We apply energy system models at those different scopes and find a trade-off between technical and social complexity. Small-scale systems would require technological breakthroughs, especially for storage, but individual agents can and do already start to build and operate such systems. In contrast, large-scale systems could potentially be more efficient from a techno-economic point of view. However, new political frameworks are required that enable long-term cooperation among sovereign entities through mutual trust. Which scope first achieves its breakthrough is not clear yet. C1 [Kuhn, Philipp; Huber, Matthias; Dorfner, Johannes; Hamacher, Thomas] Tech Univ Munich, Inst Renewable & Sustainable Energy Syst, D-80290 Munich, Germany. RP Hamacher, T (reprint author), Tech Univ Munich, Inst Renewable & Sustainable Energy Syst, D-80290 Munich, Germany. EM pkuhn@tum.de; matthias.huber@tum.de; johannes.dorfner@tum.de; thomas.hamacher@tum.de OI Kuhn, Philipp/0000-0002-6059-1020 CR Aboumahboub Tino, 2010, WSEAS Transactions on Power Systems, V5, P120 Becker S, 2014, ENERGY, V64, P404, DOI 10.1016/j.energy.2013.10.010 Chatzivasileiadis S, 2013, RENEW ENERG, V57, P372, DOI 10.1016/j.renene.2013.01.032 Creutzig F, 2014, RENEW SUST ENERG REV, V38, P1015, DOI 10.1016/j.rser.2014.07.028 Czisch G, 2005, SZENARIEN ZUKUNFTIGE DLR, 2010, MOGL GRENZ INT VERSC Dorfner J., 2014, T SMART GRIDS, V4, P1884 German Energy Agency, 2010, DEN GRID STUD 2 Hamacher T, 2013, FUSION ENG DES, V88, P657, DOI 10.1016/j.fusengdes.2013.01.074 Hatziargyriou N, 2007, IEEE POWER ENERGY M, V5, P78, DOI 10.1109/MPAE.2007.376583 Heide D, 2011, RENEW ENERG, V36, P2515, DOI 10.1016/j.renene.2011.02.009 Heide D, 2010, RENEW ENERG, V35, P2483, DOI 10.1016/j.renene.2010.03.012 Huber M., 2012, ELECT SYSTEM OPTIMIZ Huber M, 2013, ENERGIEWIRTSCHAFT, V9, P57 Huber M., 2013, COORDINATING SMART H Huber M, 2014, ENERGY, V69, P236, DOI 10.1016/j.energy.2014.02.109 Janker KA, 2015, THESIS Kennedy C., 2011, ENVIRON POLLUT, V8-9, P1965, DOI [10.1016/j.envpol.2010.10.022, DOI 10.1016/J.ENVPOL.2010.10.022] Kuhn P., 2012, KW21 TU MUNCH Lund P., 2011, 10 INT C SUST EN TEC, P162 Marnay C., 2006, IEEE GEN M POW ENG S Pincetl S, 2012, LANDSCAPE URBAN PLAN, V107, P193, DOI 10.1016/j.landurbplan.2012.06.006 Quaschning V., 2012, BWK, V7, P6 Richter S., 2004, THESIS Rodriguez RA, 2014, RENEW ENERG, V63, P467, DOI 10.1016/j.renene.2013.10.005 Schaber K, 2012, ENERG POLICY, V42, P498, DOI 10.1016/j.enpol.2011.12.016 Schaber K, 2012, ENERG POLICY, V43, P123, DOI 10.1016/j.enpol.2011.12.040 Staudacher T.U., 2012, ENERGIEWIRTSCHAFT, V12, P81 Steinke F, 2013, RENEW ENERG, V50, P826, DOI 10.1016/j.renene.2012.07.044 Tesla Motors, 2015, TESL ANN LOW COST BA UBA, 2010, EN 2050 100 STROM ER VDE-ETG, 2012, EN EN SPEICH AUSW UB NR 32 TC 4 Z9 4 U1 0 U2 23 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0044-7447 EI 1654-7209 J9 AMBIO JI Ambio PD JAN PY 2016 VL 45 SU 1 BP 50 EP 62 DI 10.1007/s13280-015-0733-x PG 13 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA CY7XR UT WOS:000366623100007 PM 26667060 OA Green Published, Other Gold DA 2019-04-09 ER PT J AU Molina-Besch, K Palsson, H AF Molina-Besch, Katrin Palsson, Henrik TI A Supply Chain Perspective on Green Packaging Development-Theory Versus Practice SO PACKAGING TECHNOLOGY AND SCIENCE LA English DT Article DE case study; green packaging; packaging development; sustainable packaging; sustainable supply chain ID LIFE-CYCLE ASSESSMENT; DESIGN; SUSTAINABILITY; FRAMEWORK; SUPPORT AB The purpose of this paper is to provide insight into how companies work during packaging development to reduce negative environmental impact along supply chains, and to compare their practical approaches with the theoretical concepts presented in the literature. The research approach is explorative and based on nine cases in the food and manufacturing industries in Sweden. Data were collected from the managerial perspectives of the packaging manager, the logistics manager and the environmental manager. The findings indicate that companies commonly apply a variety of green packaging approaches with a focus on approaches with clear economic benefits. Moreover, companies seem to lack guidance on how to handle trade-offs and are unable to fully utilize the theoretical environmental benefits of green packaging approaches because of internal and external barriers. The paper presents five propositions regarding to what extent the theoretical green packaging concepts are applied in practice. To address the gap between theory and practice companies should: develop packaging solutions that contribute to a reduction of environmental impact from the consumer phase (for example through improved apportionment, user-friendly and informative packaging); use local packaging adaptation as a strategy to address geographically varying transport, handling and waste management conditions; replace brand recognition through packaging size and shape with graphic design, high-quality materials and printing. The results confirm that internal and external collaborations are important requirements for successful green packaging development. Copyright (c) 2015 John Wiley & Sons, Ltd. C1 [Molina-Besch, Katrin; Palsson, Henrik] Lund Univ, Div Packaging Logist, Dept Design Sci, SE-22100 Lund, Sweden. RP Molina-Besch, K (reprint author), Lund Univ, Div Packaging Logist, Dept Design Sci, POB 118, SE-22100 Lund, Sweden. EM katrin.molina-besch@plog.lth.se CR Azzi A, 2012, PACKAG TECHNOL SCI, V25, P435, DOI 10.1002/pts.993 Bertoluci G, 2014, J CLEAN PROD, V64, P234, DOI 10.1016/j.jclepro.2013.09.029 Blinge M., 2005, MILJOATGARDER GODSTR Bowersox DJ, 2002, SC LOGISTICS MANAGEM Claudio L, 2012, ENVIRON HEALTH PERSP, V120, P232 Colwill JA, 2012, J POLYM ENVIRON, V20, P1112, DOI 10.1007/s10924-012-0545-z Detzel A., 2006, LIFE CYCLE ASSESSMEN Doherty S., 2009, SUPPLY CHAIN DECARBO EAA, 2011, GEN REC PACK WAST CS EISENHARDT KM, 1989, ACAD MANAGE REV, V14, P532, DOI 10.2307/258557 Ellram L., 1996, J BUSINESS LOGISTICS, V17, P93 European Commission, 1994, OFFICIAL J EUROPEA L, VL365, P10 Fawcett SE, 2014, J BUS LOGIST, V35, P1, DOI 10.1111/jbl.12039 Figge F, 2012, INT J PROD ECON, V140, P92, DOI 10.1016/j.ijpe.2012.02.001 FTI, 2014, FORP TIDN INF ENGL Garnett T, 2007, FOOD REFRIGERATION W Goransson M, 2013, P 25 NOF C GOT SWED Gronman K, 2013, PACKAG TECHNOL SCI, V26, P187, DOI 10.1002/pts.1971 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Hellstrom D, 2011, INT J RETAIL DISTRIB, V39, P638, DOI 10.1108/09590551111159323 Hospido A, 2009, INT J LIFE CYCLE ASS, V14, P381, DOI 10.1007/s11367-009-0091-7 Jahre M., 2004, International Journal of Physical Distribution & Logistics Management, V34, P123, DOI 10.1108/09600030410526923 Klevas J, 2004, INT C PROD QU RES IS Lambert DM, 2000, IND MARKET MANAG, V29, P65, DOI 10.1016/S0019-8501(99)00113-3 Livingstone S., 1994, INT J PHYS DISTRIB, V24, P15, DOI DOI 10.1108/09600039410070957 Lockamy A., 1995, INT J LOGIST MANAG, V6, P51, DOI DOI 10.1108/09574099510805251 McKinnon A, 2010, LOGFORUM, V6 Miles M. B., 1994, QUALITATIVE DATA ANA Molina-Besch K, 2014, TRANSP SUSTAIN, V6, P137, DOI 10.1108/S2044-994120140000006006 Nilsson F, 2011, P 23 NOF C HARST NOR Nilsson F, 2013, INT J RETAIL DISTRIB, V41, P396, DOI 10.1108/IJRDM-05-2013-0091 Olsmats C, 2003, PACKAG TECHNOL SCI, V16, P9, DOI 10.1002/pts.604 Packforsk, 2000, PACK I POCK Palsson H, 2013, PACKAG TECHNOL SCI, V26, P289, DOI 10.1002/pts.1979 Prendergast G., 1996, INT J PHYS DISTRIB, V26, P60, DOI DOI 10.1108/09600039610125206 Robertson GL, 1993, INT J PHYS DISTRIB, V20, P37 Santen V, 2012, P 24 NOF C TURK FINL Sebille E, 2012, ENVIRON RES LETT, V7, P1 Sonneveld K, 2000, PACKAG TECHNOL SCI, V13, P55, DOI 10.1002/1099-1522(200003/04)13:2<55::AID-PTS490>3.3.CO;2-7 Svanes E, 2010, PACKAG TECHNOL SCI, V23, P161, DOI 10.1002/pts.887 Twede D, 2000, PACKAG TECHNOL SCI, V13, P105, DOI 10.1002/1099-1522(200005)13:3<105::AID-PTS503>3.3.CO;2-0 Verghese K, 2007, INT J PROD RES, V45, P4381, DOI 10.1080/00207540701450211 Verghese K., 2012, PACKAGING SUSTAINABI Wever R, 2011, PACKAG TECHNOL SCI, V24, P211, DOI 10.1002/pts.927 Wikstrom F, 2014, J CLEAN PROD, V73, P100, DOI 10.1016/j.jclepro.2013.10.042 Wikstrom F, 2010, PACKAG TECHNOL SCI, V23, P403, DOI 10.1002/pts.906 Williams H., 2010, J CLEAN PROD, V19, P43 Williams H, 2012, J CLEAN PROD, V24, P141, DOI 10.1016/j.jclepro.2011.11.044 Yin R.K., 2009, CASE STUDY RES DESIG NR 49 TC 8 Z9 9 U1 8 U2 79 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0894-3214 EI 1099-1522 J9 PACKAG TECHNOL SCI JI Packag. Technol. Sci. PD JAN PY 2016 VL 29 IS 1 BP 45 EP 63 DI 10.1002/pts.2186 PG 19 WC Engineering, Manufacturing; Food Science & Technology SC Engineering; Food Science & Technology GA CY6ND UT WOS:000366525000003 DA 2019-04-09 ER PT J AU Van Rijsbergen, B Elbers, W Ruben, R Njuguna, SN AF Van Rijsbergen, Bart Elbers, Willem Ruben, Ruerd Njuguna, Samuel N. TI The Ambivalent Impact of Coffee Certification on Farmers' Welfare: A Matched Panel Approach for Cooperatives in Central Kenya SO WORLD DEVELOPMENT LA English DT Article DE certification; coffee; cooperatives; panel data; Kenya ID FAIR TRADE CERTIFICATION; ORGANIC COFFEE; ECONOMIC SUSTAINABILITY; NORTHERN NICARAGUA; VALUE-CHAIN; LIVELIHOODS; PRODUCERS; ORGANIZATIONS; PROGRAMS; BENEFITS AB Certification is promoted to improve rural welfare through better market access and improved agricultural practices. We compare net effects of Fairtrade- and Utz-Certified coffee production in Central Kenya, using a matched panel from 218 farm-households that belong to three cooperatives and were visited twice in 2009 and 2013. We distinguish between effects at field, farm, household, cooperative, community, and market levels. Both certification regimes improved coffee returns, but Fairtrade was more effective in coffee processing, whereas Utz contributed to productivity. Under stagnating coffee prices, Fairtrade farmers increased their coffee specialization, while Utz farmers reduced coffee areas but increased yield. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Van Rijsbergen, Bart; Elbers, Willem] Radboud Univ Nijmegen, NL-6525 ED Nijmegen, Netherlands. [Ruben, Ruerd] Univ Wageningen & Res Ctr, LEI, The Hague, Netherlands. [Njuguna, Samuel N.] Jomo Kenyatta Univ Agr & Technol, Nairobi, Kenya. RP Van Rijsbergen, B (reprint author), Radboud Univ Nijmegen, NL-6525 ED Nijmegen, Netherlands. CR Arnould EJ, 2009, J PUBLIC POLICY MARK, V28, P186, DOI 10.1509/jppm.28.2.186 Ashforth BE, 2008, J MANAGE, V34, P325, DOI 10.1177/0149206308316059 Bacon C, 2005, WORLD DEV, V33, P497, DOI 10.1016/j.worlddev.2004.10.002 Bacon CM, 2008, GLOBALIZATIONS, V5, P259, DOI 10.1080/14747730802057688 Barham BL, 2012, WORLD DEV, V40, P1269, DOI 10.1016/j.worlddev.2011.11.005 Barham BL, 2011, WORLD DEV, V39, P134, DOI 10.1016/j.worlddev.2010.08.005 Becchetti L, 2008, WORLD DEV, V36, P823, DOI 10.1016/j.worlddev.2007.05.007 Bolwig S, 2013, EUR J DEV RES, V25, P408, DOI 10.1057/ejdr.2013.8 Chiputwa B., 2014, WORLD DEV, V66, P400 De Janvry A., 2012, FAIR TRADE FREE ENTR Deaton A, 1997, ANAL HOUSEHOLD SURVE Dehejia RH, 1999, J AM STAT ASSOC, V94, P1053, DOI 10.2307/2669919 Elder SD, 2012, WORLD DEV, V40, P2355, DOI 10.1016/j.worlddev.2012.06.010 Heckman JJ, 1997, REV ECON STUD, V64, P605, DOI 10.2307/2971733 Jaffee D, 2007, BREWING JUSTICE: FAIR TRADE COFFEE, SUSTAINABILITY, AND SURVIVAL, P1 Jena PR, 2012, AGR ECON-BLACKWELL, V43, P429, DOI 10.1111/j.1574-0862.2012.00594.x Johannessen S, 2010, GLOBALIZATIONS, V7, P525, DOI 10.1080/14747731.2010.505018 Kasente D., 2012, Gender and Development, V20, P111, DOI 10.1080/13552074.2012.663627 KCTA, 2012, KEN COFF DIR Lambin E. F., 2013, ECOLOGY SOC, P18 Le Mare A, 2008, GEOGR COMPASS, V2, P1922, DOI 10.1111/j.1749-8198.2008.00171.x Lyon S, 2008, HUM ORGAN, V67, P258, DOI 10.17730/humo.67.3.amh032451h1h5114 Mendez VE, 2010, RENEW AGR FOOD SYST, V25, P236, DOI 10.1017/S1742170510000268 Morisset J, 1998, WORLD BANK ECON REV, V12, P503, DOI 10.1093/wber/12.3.503 Muradian R, 2005, WORLD DEV, V33, P2029, DOI 10.1016/j.worlddev.2005.06.007 Neilson J, 2008, WORLD DEV, V36, P1607, DOI 10.1016/j.worlddev.2007.09.005 Nelson Valerie, 2009, LAST 10 YEARS COMPRE, P1 Petkova I, 2006, REV INT POLIT ECON, V13, P313, DOI 10.1080/09692290600625587 Philpott SM, 2007, CONSERV BIOL, V21, P975, DOI 10.1111/j.1523-1739.2007.00728.x RAYNOLDS L. T., 2007, FAIR TRADE CHALLENGE Raynolds LT, 2009, WORLD DEV, V37, P1083, DOI 10.1016/j.worlddev.2008.10.001 Renard MC, 2005, J RURAL STUD, V21, P419, DOI 10.1016/j.jrurstud.2005.09.002 Riisgaard L., 2009, PERFORMANCE VOLUNTAR Rivera J., 2010, RFDP1017 RES FUT Ronchi L., 2002, IMPACT FAIR TRADE PR ROSENBAUM PR, 1983, BIOMETRIKA, V70, P41, DOI 10.1093/biomet/70.1.41 Ruben R, 2009, IMPACT OF FAIR TRADE, P1, DOI 10.3920/978-90-8686-647-2 Ruben R., 2011, VALUE CHAINS SOCIAL, P61 Ruben R, 2012, WORLD DEV, V40, P570, DOI 10.1016/j.worlddev.2011.07.030 Ruben R, 2011, SUPPLY CHAIN MANAG, V16, P98, DOI 10.1108/13598541111115356 Rueda X., 2012, WORLD DEV, V41, P286 Saenz Segura F., 2008, IMPACT FAIR TRADE, P117 Salami A., 2010, WORKING PAPER SERIES, V105 Valkila J, 2010, J BUS ETHICS, V97, P257, DOI 10.1007/s10551-010-0508-z Valkila J, 2010, AGR HUM VALUES, V27, P321, DOI 10.1007/s10460-009-9208-7 Valkila J, 2009, ECOL ECON, V68, P3018, DOI 10.1016/j.ecolecon.2009.07.002 Van der Vossen HAM, 2005, EXP AGR, V41, P449, DOI 10.1017/S0014479705002863 Weber JG, 2011, FOOD POLICY, V36, P678, DOI 10.1016/j.foodpol.2011.05.007 World Bank, 2013, TIM SHIFT GEAR GROWT NR 49 TC 24 Z9 25 U1 4 U2 64 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0305-750X J9 WORLD DEV JI World Dev. PD JAN PY 2016 VL 77 BP 277 EP 292 DI 10.1016/j.worlddev.2015.08.021 PG 16 WC Development Studies; Economics SC Development Studies; Business & Economics GA CW1CF UT WOS:000364726500019 HC Y HP N DA 2019-04-09 ER PT J AU Ozturk, I AF Ozturk, Ilhan TI Sustainability in the food-energy-water nexus: Evidence from BRICS (Brazil, the Russian Federation, India, China, and South Africa) countries SO ENERGY LA English DT Article DE Ecological indicators; Food index; Energy demand; Water resources; Environmental Kuznets curve; BRICS (Brazil, the Russian Federation, India, China, and South Africa) countries ID ENVIRONMENTAL KUZNETS CURVE; ECONOMIC-GROWTH; TRADE OPENNESS; CO2 EMISSIONS; MIDDLE-EAST; SECURITY; CONSUMPTION; HYPOTHESIS; POLLUTION; HEALTH AB This study explores the ecological indicators relevant to long-term sustainability by the food-energy-water nexus among BRICS (Brazil, the Russian Federation, India, China, and South Africa). The sustainability issue arises with the EKC (environmental Kuznets curve) hypothesis and biodiversity that require proper resource allocation to provide food security among the BRICS countries. This study then employs principal component analysis to construct a food security index comprising agricultural machinery, land under cereal production, and agricultural value added. Furthermore, it employs dynamic panel modeling in a GMM (generalized method of moments) system to obtain reliable parameter estimates. The results reveal that energy shortages and inadequate water resources impair the BRICS' food security. Economic growth amplifies energy demand and environmental degradation. Depletion of forests and natural resources encumbers economic prosperity, which is driven by rapid industrialization, high growth, domestic investment, improved water sources, and labor force participation. The EKC hypothesis tested across the BRICS countries, with the finding that an inverted U curve indeed does exist between carbon dioxide emissions and economic growth for Brazil, India, and South Africa, even if not for the entire panel of countries, is still a significant finding and provides motivation for new (and better) integrated economic-environmental policies. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Ozturk, Ilhan] Cag Univ, Fac Econ & Adm Sci, TR-33800 Mersin, Turkey. RP Ozturk, I (reprint author), Cag Univ, Fac Econ & Adm Sci, TR-33800 Mersin, Turkey. EM ilhanozturk@cag.edu.tr RI Ozturk, Ilhan/B-9431-2009 OI Ozturk, Ilhan/0000-0002-6521-0901 CR Al-Mulali U, 2015, ENERGY, V84, P382, DOI 10.1016/j.energy.2015.03.004 Al-Mulali U, 2015, ENERG POLICY, V76, P123, DOI 10.1016/j.enpol.2014.11.019 Allouche J, 2011, FOOD POLICY, V236, pS3 Anderson K, 2014, FOOD POLICY, V49, P50, DOI 10.1016/j.foodpol.2014.06.008 Apergis N, 2015, ECOL INDIC, V52, P16, DOI 10.1016/j.ecolind.2014.11.026 Bazilian M, 2011, ENERG POLICY, V39, P7896, DOI 10.1016/j.enpol.2011.09.039 Bogardi JJ, 2012, CURR OPIN ENV SUST, V4, P35, DOI 10.1016/j.cosust.2011.12.002 Burney JA, 2010, P NATL ACAD SCI USA, V107, P12052, DOI 10.1073/pnas.0914216107 Davidson O, 2003, CLIM POLICY S1, V3, pS97 Dinda S, 2004, ECOL ECON, V49, P431, DOI 10.1016/j.ecolecon.2004.02.011 El-Zein A, 2014, LANCET, V383, P458, DOI 10.1016/S0140-6736(13)62338-7 Gebbers R, 2010, SCIENCE, V327, P828, DOI 10.1126/science.1183899 Gheewala SH, 2011, BIOFUEL BIOPROD BIOR, V5, P353, DOI 10.1002/bbb.295 Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Hardy L, 2012, INT J WATER RESOUR D, V28, P151, DOI 10.1080/07900627.2012.642240 IMF, 2014, INT FINANCIAL STAT Jalas M, 2015, ECOL ECON, V113, P51, DOI 10.1016/j.ecolecon.2015.02.016 Lopez-Menendez AJ, 2014, J ENVIRON MANAGE, V145, P368, DOI 10.1016/j.jenvman.2014.07.017 Jobbins G, 2015, INT J WATER RESOUR D, V31, P393, DOI 10.1080/07900627.2015.1020146 Khan S, 2009, FOOD POLICY, V34, P130, DOI 10.1016/j.foodpol.2008.09.001 Kuznets S, 1955, AM ECON REV, V45, P1 Lawrence G, 2014, GLOBAL ENVIRON CHANG, P667 Liu JG, 2015, SCIENCE, V347, DOI 10.1126/science.1258832 McMichael AJ, 2007, LANCET, V370, P1253, DOI 10.1016/S0140-6736(07)61256-2 Middleton C, 2015, WATER ALTERN, V8, P627 Naghdi S, 2014, IRAN RED CRESCENT ME, V16, DOI 10.5812/ircmj.14335 Pao HT, 2011, ENERGY, V36, P685, DOI 10.1016/j.energy.2010.09.041 Qi XX, 2015, FOOD SECUR, V7, P621, DOI 10.1007/s12571-015-0458-5 Reardon T, 2014, GLOB FOOD SECUR-AGR, V3, P108, DOI 10.1016/j.gfs.2014.02.001 Reisen H, 2013, SUSTAINABLE ARE BRIC Ringler C, 2013, CURR OPIN ENV SUST, V5, P617 Rothausen SG, 2001, NAT CLIM CHANGE, V1, P210 Salahuddin M, 2014, ENERGY, V73, P44, DOI 10.1016/j.energy.2014.05.054 Salvati L, 2015, ECOL ECON, V112, P1 Sebri M, 2014, RENEW SUST ENERG REV, V39, P14, DOI 10.1016/j.rser.2014.07.033 SELDEN TM, 1994, J ENVIRON ECON MANAG, V27, P147, DOI 10.1006/jeem.1994.1031 Siddiqi A, 2011, ENERG POLICY, V39, P4529, DOI 10.1016/j.enpol.2011.04.023 Singh S. P, 2013, BRICS GUIDE 7 MAJOR Stern DI, 2004, WORLD DEV, V32, P1419, DOI 10.1016/j.worlddev.2004.03.004 Stern DI, 2001, J ENVIRON ECON MANAG, V41, P162, DOI 10.1006/jeem.2000.1132 Torras M, 1998, ECOL ECON, V25, P147, DOI 10.1016/S0921-8009(97)00177-8 Villamayor-Tomas S, 2015, WATER ALTERN, V8, P735 Wiebe K., 2003, LINKING LAND QUALITY World Bank, 2014, WORLD DEV IND NR 44 TC 31 Z9 31 U1 16 U2 125 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0360-5442 EI 1873-6785 J9 ENERGY JI Energy PD DEC 15 PY 2015 VL 93 BP 999 EP 1010 DI 10.1016/j.energy.2015.09.104 PN 1 PG 12 WC Thermodynamics; Energy & Fuels SC Thermodynamics; Energy & Fuels GA DA2MR UT WOS:000367630200090 DA 2019-04-09 ER PT J AU Baglivi, A Fiorese, G Guariso, G Ugge, C AF Baglivi, Antonella Fiorese, Giulia Guariso, Giorgio Ugge, Clara TI Valuing crop diversity in biodiesel production plans SO ENERGY LA English DT Article DE Energy crops; Land use; Optimization; Multi-objective nonlinear program; Pareto optimal solutions ID GREENHOUSE-GAS EMISSIONS; ELECTRICITY-GENERATION; ENERGY-BALANCE; SUPPLY CHAINS; CARBON DEBT; LAND; BIOFUEL; BRAZIL; BIOMASS; SUSTAINABILITY AB The problem of defining efficient and environmentally compatible short-term agricultural plans for biodiesel exploitation is dealt with in this paper with a multi-objective modelling framework. To optimally use local resources, the first phase of the plan consists in the analysis of land and climate features in order to evaluate which energy crop can be successfully grown. This phase is performed at local scale using GIS (geographic information system) data and software. The second phase consists in the formulation of a multi-objective mathematical programming problem. Using the land to be cultivated in each parcel with each crop as decision variables, we solve a three objectives problem: the maximization of the net energy produced, of the greenhouse gases avoided with respect to conventional fossil fuels and of the diversity of the energy crop mix. The last is quantitatively measured using a well-known biodiversity index, which allows to study the trade-off between a more varied crop mix and the other two objectives along the frontier of Pareto efficient solutions. The proposed methodology is applied to a region of Mato Grosso, Brazil, where biodiesel is produced from oleaginous crops. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Baglivi, Antonella; Guariso, Giorgio] Politecn Milan, Dept Elect Informat & Bioengn, I-20133 Milan, Italy. [Fiorese, Giulia] Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, I-21027 Ispra, VA, Italy. [Ugge, Clara] ETA Florence Renewable Energies, Florence, Italy. RP Fiorese, G (reprint author), Commiss European Communities, Joint Res Ctr, Inst Environm & Sustainabil, Via E Fermi 2749, I-21027 Ispra, VA, Italy. EM giulia.fiorese@jrc.ec.europa.eu CR Andersen F, 2012, COMPUT CHEM ENG, V47, P170, DOI 10.1016/j.compchemeng.2012.06.044 ANP-National Agency of Petroleum Natural Gas and Biofuels (Brazil), 2011, OIL NAT GAS BIOF STA Arvor D, 2012, APPL GEOGR, V32, P702, DOI 10.1016/j.apgeog.2011.08.007 Ayoub N, 2009, ENERG CONVERS MANAGE, V50, P2944, DOI 10.1016/j.enconman.2009.07.010 Bergmann JC, 2013, RENEW SUST ENERG REV, V21, P411, DOI 10.1016/j.rser.2012.12.058 Bovolenta FC, 2007, COMP ENERGY ANAL MUL Buchholz T, 2009, J CLEAN PROD, V17, pS86, DOI 10.1016/j.jclepro.2009.04.015 Cesar AD, 2010, ENERG POLICY, V38, P4031, DOI 10.1016/j.enpol.2010.03.027 Chechetto RG, 2010, REV CIENC AGRON, V41, P546, DOI 10.1590/S1806-66902010000400006 Chum H, 2011, IPCC SPECIAL REPORT Crutzen PJ, 2007, ATMOS CHEM PHYS DISC, V7, P11191, DOI DOI 10.5194/ACP-8-389-2008 Cucek L, 2010, CLEAN TECHNOL ENVIR, V2, P635 Cucek L, 2012, ENERGY, V44, P135, DOI 10.1016/j.energy.2012.01.040 Dale V.H., 2010, BIOFUELS SUSTAINABIL De Albuquerque FA, 2008, 3 C BRAS MAM SALV BA De Albuquerque FA, 2007, 6 C BRAS ALG UB MG E Leao RRDC, 2011, BIORESOURCE TECHNOL, V102, P8958, DOI 10.1016/j.biortech.2011.07.002 de Souza SP, 2010, RENEW ENERG, V35, P2552, DOI 10.1016/j.renene.2010.03.028 Dury J, 2012, AGRON SUSTAIN DEV, V32, P567, DOI 10.1007/s13593-011-0037-x Eggers J, 2009, GCB BIOENERGY, V1, P18, DOI 10.1111/j.1757-1707.2009.01002.x Emerging Markets, 2020, BIOD 2020 GLOB MARK Evans A, 2010, RENEW SUST ENERG REV, V14, P1419, DOI 10.1016/j.rser.2010.01.010 Fargione J, 2008, SCIENCE, V319, P1235, DOI 10.1126/science.1152747 Farrell AE, 2006, SCIENCE, V311, P506, DOI 10.1126/science.1121416 Fiorese G, 2013, BIOMASS BIOENERG, V58, P20, DOI 10.1016/j.biombioe.2013.07.018 Fiorese G, 2010, ENVIRON MODELL SOFTW, V25, P702, DOI 10.1016/j.envsoft.2009.11.008 Fischer G, 2010, BIOMASS BIOENERG, V34, P159, DOI 10.1016/j.biombioe.2009.07.008 Frombo F, 2009, ENERGY, V34, P362, DOI 10.1016/j.energy.2008.10.012 Gazzoni DL, 2005, BIOMASSA ENERGIA, V2, P259 Gelfand I, 2011, P NATL ACAD SCI USA, V108, P13864, DOI 10.1073/pnas.1017277108 Harsono SS, 2012, GCB BIOENERGY, V4, P213, DOI 10.1111/j.1757-1707.2011.01118.x Hepatitis C, 2011, NATURE S, V474, pS1 Hillier J, 2009, GCB BIOENERGY, V1, P267, DOI 10.1111/j.1757-1707.2009.01021.x IBGE, 2001, DIG MAPS MUN IBGE, 2010, 2010 POP CENS Janssen R, 2011, ENERG POLICY, V39, P5717, DOI 10.1016/j.enpol.2011.01.047 Lahtinen K, 2014, RENEW SUST ENERG REV, V40, P1202, DOI 10.1016/j.rser.2014.07.060 Lam HL, 2011, ENERGY, V36, P4599, DOI 10.1016/j.energy.2011.03.036 Lapola DM, 2010, P NATL ACAD SCI USA, V107, P3388, DOI 10.1073/pnas.0907318107 Lapola DM, 2009, BIOMASS BIOENERG, V33, P1087, DOI 10.1016/j.biombioe.2009.04.005 Ministry of Agriculture, 2006, BRAZ AGR PLAN 2006 2 Nogueira LAH, 2011, ENERGY, V36, P3659, DOI 10.1016/j.energy.2010.08.035 OECD and FAO, 2012, OECD FAO AGR OUTL 20 Padula AD, 2012, ENERG POLICY, V44, P395, DOI 10.1016/j.enpol.2012.02.003 Perez-Fortes M, 2012, ENERGY, V44, P79, DOI 10.1016/j.energy.2012.01.033 Perry S, 2008, ENERGY, V33, P1489, DOI 10.1016/j.energy.2008.03.008 Rathmann R, 2012, APPL ENERG, V97, P91, DOI 10.1016/j.apenergy.2011.11.021 Romero C., 2003, MULTIPLE CRITERIA AN Scott JA, 2012, ENERGY, V42, P146, DOI 10.1016/j.energy.2012.03.074 Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 Sharma B, 2013, RENEW SUST ENERG REV, V24, P608, DOI 10.1016/j.rser.2013.03.049 SIMPSON EH, 1949, NATURE, V163, P688, DOI 10.1038/163688a0 Stoms DM, 2012, GCB BIOENERGY, V4, P330, DOI 10.1111/j.1757-1707.2011.01130.x Tan RR, 2009, CHEM ENG RES DES, V87, P1162, DOI 10.1016/j.cherd.2009.04.004 Tenerelli P, 2012, APPL GEOGR, V32, P724, DOI 10.1016/j.apgeog.2011.08.013 Tilman D, 2009, SCIENCE, V325, P270, DOI 10.1126/science.1177970 Ugge C, 2013, P 21 EUR BIOM C EXH, P1869 Wang Q, 2014, ENERGY, V77, P691, DOI 10.1016/j.energy.2014.09.060 Wang ZX, 2011, BIOMASS BIOENERG, V35, P2893, DOI 10.1016/j.biombioe.2011.03.031 Yang J, 2003, PLANT SOIL, V250, P175, DOI 10.1023/A:1022801322245 Zhang X, 2010, GCB BIOENERGY, V2, P258, DOI 10.1111/j.1757-1707.2010.01046.x Zhou ZP, 2007, FUEL, V86, P256, DOI 10.1016/j.fuel.2006.06.004 NR 62 TC 0 Z9 0 U1 1 U2 12 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0360-5442 EI 1873-6785 J9 ENERGY JI Energy PD DEC 15 PY 2015 VL 93 BP 2351 EP 2362 DI 10.1016/j.energy.2015.10.080 PN 2 PG 12 WC Thermodynamics; Energy & Fuels SC Thermodynamics; Energy & Fuels GA CZ9HU UT WOS:000367409500102 DA 2019-04-09 ER PT J AU Sweetapple, C Fu, GT Butler, D AF Sweetapple, Christine Fu, Guangtao Butler, David TI Does carbon reduction increase sustainability? A study in wastewater treatment SO WATER RESEARCH LA English DT Article DE Carbon neutral; Control; Energy; Sustainability; WWTP ID GREENHOUSE-GAS EMISSIONS; ACTIVATED-SLUDGE PROCESS; NITROUS-OXIDE EMISSIONS; TREATMENT-PLANT CONTROL; CONTROL STRATEGIES; TREATMENT SYSTEMS; SIMULATION; MODEL; RECOVERY AB This study investigates the relationships between carbon reduction and sustainability in the context of wastewater treatment, focussing on the impacts of control adjustments, and demonstrates that reducing energy use and/or increasing energy recovery to reduce net energy can be detrimental to sustainability. Factorial sampling is used to derive 315 control options, containing two different control strategies and a range of sludge wastage flow rates and dissolved oxygen setpoints, for evaluation. For each, sustainability indicators including operational costs, net energy and multiple environmental performance measures are calculated. This enables identification of trade-offs between different components of sustainability which must be considered before implementing energy reduction measures. In particular, it is found that the impacts of energy reduction measures on sludge production and nitrogen removal must be considered, as these are worsened in the lowest energy solutions. It also demonstrates that a sufficiently large range of indicators need to be assessed to capture trade-offs present within the environmental component of sustainability. This is because no solutions provided a move towards sustainability with respect to every indicator. Lastly, it is highlighted that improving the energy balance (as may be considered an approach to achieving carbon reduction) is not a reliable means of reducing total greenhouse gas emissions. (C) 2015 The Authors. Published by Elsevier Ltd. C1 [Sweetapple, Christine; Fu, Guangtao; Butler, David] Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, Exeter EX4 4QF, Devon, England. RP Sweetapple, C (reprint author), Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, N Pk Rd, Exeter EX4 4QF, Devon, England. EM C.G.Sweetapple@ex.ac.uk RI ; Butler, David/I-2991-2012 OI Fu, Guangtao/0000-0003-1045-9125; Butler, David/0000-0001-5515-3416 FU UK Engineering & Physical Sciences Research Council [EP/K006924/1]; Engineering and Physical Sciences Research Council [EP/K006924/1] FX Thanks are given for the Matlab/Simulink implementation of the BSM2G from the Department of Industrial Engineering and Automation, Lund University, Lund, Sweden. This work forms part of a 5-year fellowship for the last author funded by the UK Engineering & Physical Sciences Research Council (EP/K006924/1). CR Aboobakar A, 2013, WATER RES, V47, P524, DOI 10.1016/j.watres.2012.10.004 Amand L, 2012, WATER RES, V46, P2101, DOI 10.1016/j.watres.2012.01.023 DECC, 2014, RED DEM EN IND BUS P ECKENFELDER W, 1991, PHOSPHORUS NITROGEN Flores-Alsina X, 2014, SCI TOTAL ENVIRON, V466, P616, DOI 10.1016/j.scitotenv.2013.07.046 Flores-Alsina X, 2011, WATER RES, V45, P4700, DOI 10.1016/j.watres.2011.04.040 Gao H, 2014, ENVIRON SCI-PROC IMP, V16, P1223, DOI 10.1039/c4em00069b Gernaey KV, 2014, SCI TECH REP SER, P1 Gori R, 2011, WATER RES, V45, P5858, DOI 10.1016/j.watres.2011.08.036 Guerrero J., 2013, BIORESOURCE TECHNOL, V16, P680 Guest JS, 2009, ENVIRON SCI TECHNOL, V43, P6126, DOI 10.1021/es9010515 Guo LS, 2014, BIOPROC BIOSYST ENG, V37, P151, DOI 10.1007/s00449-013-0978-3 Henze M., 2000, 9 IWA Hiatt WC, 2008, WATER ENVIRON RES, V80, P2145, DOI 10.2175/106143008X304776 Holmes L., 2009, INCORPORATING SUSTAI Jeppsson U, 2007, WATER SCI TECHNOL, V56, P67, DOI 10.2166/wst.2007.604 Kampschreur MJ, 2009, WATER RES, V43, P4093, DOI 10.1016/j.watres.2009.03.001 Law YY, 2012, PHILOS T R SOC B, V367, P1265, DOI 10.1098/rstb.2011.0317 Lundin M, 1999, WATER SCI TECHNOL, V39, P235, DOI 10.1016/S0273-1223(99)00107-9 Mampaey KE, 2013, ENVIRON TECHNOL, V34, P1555, DOI 10.1080/09593330.2012.758666 Mihelcic JR, 2003, ENVIRON SCI TECHNOL, V37, P5314, DOI 10.1021/es034605h Mo WW, 2012, J ENVIRON MANAGE, V112, P360, DOI 10.1016/j.jenvman.2012.08.014 Molinos-Senante M, 2014, SCI TOTAL ENVIRON, V497, P607, DOI 10.1016/j.scitotenv.2014.08.026 Morrison-Saunders A, 2013, ENVIRON IMPACT ASSES, V38, P54, DOI 10.1016/j.eiar.2012.06.003 Muga HE, 2008, J ENVIRON MANAGE, V88, P437, DOI 10.1016/j.jenvman.2007.03.008 Nopens I, 2010, WATER SCI TECHNOL, V62, P1967, DOI 10.2166/wst.2010.044 Roeleveld PJ, 1997, WATER SCI TECHNOL, V35, P221, DOI 10.1016/S0273-1223(97)00199-6 Rosso D, 2008, CHEMOSPHERE, V70, P1468, DOI 10.1016/j.chemosphere.2007.08.057 Scherson YD, 2014, ENVIRON SCI TECHNOL, V48, P8420, DOI 10.1021/es501701s Stare A, 2007, WATER RES, V41, P2004, DOI 10.1016/j.watres.2007.01.029 Suez Environment, 2012, AQ NEW CARB NEUTR WA Sweetapple C., 2014, COST EFFICIENT CONTR Sweetapple C, 2014, WATER RES, V62, P249, DOI 10.1016/j.watres.2014.06.002 Sweetapple C, 2014, WATER RES, V55, P52, DOI 10.1016/j.watres.2014.02.018 Tchobanoglous G., 2004, WASTEWATER ENG TREAT USEPA, 2014, INN WAST TREATM PLAN Vanrolleghem PA, 2002, WATER SCI TECHNOL, V45, P117 Villano M, 2013, BIORESOURCE TECHNOL, V130, P366, DOI 10.1016/j.biortech.2012.11.080 NR 38 TC 4 Z9 4 U1 1 U2 29 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0043-1354 J9 WATER RES JI Water Res. PD DEC 15 PY 2015 VL 87 BP 522 EP 530 DI 10.1016/j.watres.2015.06.047 PG 9 WC Engineering, Environmental; Environmental Sciences; Water Resources SC Engineering; Environmental Sciences & Ecology; Water Resources GA CZ9JD UT WOS:000367413000055 PM 26152903 OA Other Gold DA 2019-04-09 ER PT J AU Pretel, R Shoener, BD Ferrer, J Guest, JS AF Pretel, R. Shoener, B. D. Ferrer, J. Guest, J. S. TI Navigating environmental, economic, and technological trade-offs in the design and operation of submerged anaerobic membrane bioreactors (AnMBRs) SO WATER RESEARCH LA English DT Article DE Anaerobic MBR; Biomethane; Global warming potential; Life cycle analysis; Renewable energy; Carbon neutral ID WASTE-WATER TREATMENT; TREATMENT PLANTS; PERSPECTIVES; MANAGEMENT; RECOVERY; SYSTEM AB Anaerobic membrane bioreactors (AnMBRs) enable energy recovery from wastewater while simultaneously achieving high levels of treatment. The objective of this study was to elucidate how detailed design and operational decisions of submerged AnMBRs influence the technological, environmental, and economic sustainability of the system across its life cycle. Specific design and operational decisions evaluated included: solids retention time (SRT), mixed liquor suspended solids (MLSS) concentration, sludge recycling ratio (r), flux (J), and specific gas demand per membrane area (SGD). The possibility of methane recovery (both as biogas and as soluble methane in reactor effluent) and bioenergy production, nutrient recovery, and final destination of the sludge (land application, landfill, or incineration) were also evaluated. The implications of these design and operational decisions were characterized by leveraging a quantitative sustainable design (QSD) framework which integrated steady-state performance modeling across seasonal temperatures (using pilot-scale experimental data and the simulating software DESASS), life cycle cost (LCC) analysis, and life cycle assessment (LCA). Sensitivity and uncertainty analyses were used to characterize the relative importance of individual design decisions, and to navigate trade-offs across environmental, economic, and technological criteria. Based on this analysis, there are design and operational conditions under which submerged AnMBRs could be net energy positive and contribute to the pursuit of carbon negative wastewater treatment. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Pretel, R.; Ferrer, J.] Univ Politecn Valencia, Inst Univ Invest Engn Aigua & Medi Ambient, IIAMA, E-46022 Valencia, Spain. [Shoener, B. D.; Guest, J. S.] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA. RP Pretel, R (reprint author), Univ Politecn Valencia, Inst Univ Invest Engn Aigua & Medi Ambient, IIAMA, Cami de Vera S-N, E-46022 Valencia, Spain. EM rutprejo@upv.es; shoener2@illinois.edu; jferrer@hma.upv.es; jsguest@illinois.edu RI Ferrer, Jose/K-6529-2014 OI Ferrer, Jose/0000-0002-1667-3854; Guest, Jeremy/0000-0003-2489-2579 FU Spanish Ministry of Economy and Competitiveness [CTM2011-28595-C02-01/02]; European Regional Development Fund [GVA-ACOMP2013/203]; Generalitat Valenciana [GVA-ACOMP2013/203]; King Abdullah University of Science and Technology (KAUST) Academic Partnership Program [IeRA 2012-06291]; Jack Kent Cooke Foundation FX This research work was possible thanks to project CTM2011-28595-C02-01/02 (funded by the Spanish Ministry of Economy and Competitiveness jointly with the European Regional Development Fund and Generalitat Valenciana GVA-ACOMP2013/203), and by the King Abdullah University of Science and Technology (KAUST) Academic Partnership Program (UIeRA 2012-06291), which are gratefully acknowledged. The authors would like also to acknowledge the Jack Kent Cooke Foundation for partial funding for B.D. Shoener. CR Barat R, 2013, WATER SCI TECHNOL, V67, P1481, DOI 10.2166/wst.2013.004 Corominas L, 2013, WATER RES, V47, P5480, DOI 10.1016/j.watres.2013.06.049 Duran E. H, 2013, THESIS European Union (EU), 2013, EU EM TRAD SYST EU E Fenu A, 2010, DESALINATION, V262, P121, DOI 10.1016/j.desal.2010.05.057 Ferrer J, 2008, ENVIRON MODELL SOFTW, V23, P19, DOI 10.1016/j.envsoft.2007.04.005 Ferrer J, 2015, SEP PURIF TECHNOL, V141, P378, DOI 10.1016/j.seppur.2014.12.018 Gallego A, 2008, RESOUR CONSERV RECY, V52, P931, DOI 10.1016/j.resconrec.2008.02.001 Garrido-Baserba M., 2013, ENVIRON MODELL SOFTW, P1 Gimenez JB, 2011, BIORESOURCE TECHNOL, V102, P8799, DOI 10.1016/j.biortech.2011.07.014 Guest JS, 2010, WATER SCI TECHNOL, V61, P1637, DOI 10.2166/wst.2010.880 Guest JS, 2009, ENVIRON SCI TECHNOL, V43, P6126, DOI 10.1021/es9010515 Hobson J., 2000, GOOD PRACTICE GUIDAN ISO, 2006, 14040 ISO Judd S. J., 2011, PRINCIPLES APPL MEMB Lin HJ, 2013, DESALINATION, V314, P169, DOI 10.1016/j.desal.2013.01.019 Lin HJ, 2011, DESALINATION, V280, P120, DOI 10.1016/j.desal.2011.06.058 Martin I, 2011, ENVIRON TECHNOL, V32, P921, DOI 10.1080/09593330.2011.565806 McCarty PL, 2011, ENVIRON SCI TECHNOL, V45, P7100, DOI 10.1021/es2014264 Pretel R, 2013, BIORESOURCE TECHNOL, V149, P532, DOI 10.1016/j.biortech.2013.09.060 Pretel R., FILTRATION PROCESS C Raskin L, 2012, U4R08 WERF REE, 2012, SPAN EL SYST Robles A, 2012, BIORESOURCE TECHNOL, V114, P247, DOI 10.1016/j.biortech.2012.03.085 Rodriguez-Garcia G, 2011, WATER RES, V45, P5997, DOI 10.1016/j.watres.2011.08.053 Saltelli A., 2004, SENSITIVITY ANAL PRA, P219 Shoener BD, 2014, ENVIRON SCI-PROC IMP, V16, P1204, DOI 10.1039/c3em00711a Smith AL, 2014, ENVIRON SCI TECHNOL, V48, P5972, DOI 10.1021/es5006169 Smith AL, 2013, WATER RES, V47, P1655, DOI 10.1016/j.watres.2012.12.028 Smith AL, 2012, BIORESOURCE TECHNOL, V122, P149, DOI 10.1016/j.biortech.2012.04.055 STAVINS RN, 2003, HDB ENV EC, V1, P355, DOI DOI 10.1016/S1574-0099(03)01014-3 USEPA, 2006, WAST MAN FACT SHEET Wang JS, 2011, ENVIRON SCI TECHNOL, V45, P6239, DOI 10.1021/es200419h NR 33 TC 10 Z9 12 U1 3 U2 43 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0043-1354 J9 WATER RES JI Water Res. PD DEC 15 PY 2015 VL 87 BP 531 EP 541 DI 10.1016/j.watres.2015.07.002 PG 11 WC Engineering, Environmental; Environmental Sciences; Water Resources SC Engineering; Environmental Sciences & Ecology; Water Resources GA CZ9JD UT WOS:000367413000056 PM 26206622 DA 2019-04-09 ER PT J AU Kreiner, H Passer, A Wallbaum, H AF Kreiner, H. Passer, A. Wallbaum, H. TI A new systemic approach to improve the sustainability performance of office buildings in the early design stage SO ENERGY AND BUILDINGS LA English DT Article DE Building certification; OGNI/DGNB; Building sustainability assessment; Multi-criteria design optimization; Systemic approach; Network analysis; LCA; LCCA; BIM ID ASSESSMENT TOOLS; ENERGY; EMISSIONS; IMPACTS; BREEAM AB Different users and investors' project preferences, often lead to trade-offs during the early design phase of a project. Currently, decisions of design options and their technical measures are mainly reduced to an instantaneously assessed criterion (i.e. energy efficiency) within the sustainability assessment of buildings. Due to criteria interdependency, the current linear applied approach used in building certification neglects criteria trade-offs and is therefore only partly suitable for holistic building improvement processes. In order to fulfil stakeholder interests on the one hand and a high sustainability performance on the other, it is crucial to identify appropriate design measures. Based on the Austrian building certification system OGNI/DGNB, we applied a systemic approach for building sustainability-improvement, using a case study of a public office building in Graz, Austria. The main part of the study describes the important steps required for the systemic optimization of building sustainability. The method applied in this study allows the quantification of the relative influence and the identification of the individual optimization potential of design options on each single assessment criterion. The proposed systemic approach clearly demonstrated the improvement potential of the currently most developed building certification system considering the interdependency between the individual criteria. (C) 2015 Elsevier B.V. All rights reserved. C1 [Kreiner, H.; Passer, A.] Graz Univ Technol, Inst Technol & Testing, Bldg Mat Working Grp Sustainabil Assessment, A-8010 Graz, Austria. [Wallbaum, H.] Chalmers, S-41296 Gothenburg, Sweden. RP Kreiner, H (reprint author), Inffeldgasse 24, A-8010 Graz, Austria. EM helmuth.kreiner@tugraz.at FU Chalmers Areas of Advance Energy and Built Environment FX The analysis and results described here are a part of the Ph.D. research of Kreiner [30]. This work was supported by Chalmers Areas of Advance Energy and Built Environment. The authors would like to thank the Landesimmobilien-Gesellschaft mbH (Styria) for the provision of the case study data. Further we acknowledge the suggestions of two anonymous reviewers who helped to improve this manuscript. CR Allacker K, 2012, INT J LIFE CYCLE ASS, V17, P813, DOI 10.1007/s11367-012-0402-2 [Anonymous], 2009, B18011 ONORM [Anonymous], 2011, ONH5055 Asadi S, 2014, ENERG BUILDINGS, V85, P246, DOI 10.1016/j.enbuild.2014.07.096 Basbagill JP, 2014, AUTOMAT CONSTR, V45, P136, DOI 10.1016/j.autcon.2014.04.015 Braganca Luis, 2010, Sustainability, V2, P2010, DOI 10.3390/su2072010 Brown NWO, 2014, BUILD ENVIRON, V79, P46, DOI 10.1016/j.buildenv.2014.04.018 Brundtland G. H, 1987, REPORT WORLD COMMISS CEN, 2011, 156432 CEN O NORM EN CEN, 2010, 156431 CEN O NORM EN CEN, 2012, 156434 CEN O NORM EN CEN, 2012, 156433 CEN O NORM EN Cole Raymond J., 2011, SB11 HELSINKI Cole RJ, 2005, BUILD RES INF, V33, P455, DOI 10.1080/09613210500219063 Dixit M.K., 2012, ENERGY REV, V16, P3730 Dixit MK, 2010, ENERG BUILDINGS, V42, P1238, DOI 10.1016/j.enbuild.2010.02.016 Dzien A., 2011, THESIS Evins R, 2013, RENEW SUST ENERG REV, V22, P230, DOI 10.1016/j.rser.2013.02.004 Froch G., 2015, ENERGY BUILD Geyer P, 2012, ADV ENG INFORM, V26, P656, DOI 10.1016/j.aei.2012.04.005 Girmscheid G, 2010, NACHHALTIG OPTIMIERT Haapio A, 2008, ENVIRON IMPACT ASSES, V28, P469, DOI 10.1016/j.eiar.2008.01.002 Hafner Annette, 2011, THESIS Hakkinen T, 2011, BUILD RES INF, V39, P239, DOI 10.1080/09613218.2011.561948 Hoxha E., 2013, J CLEAN PROD, V66, P54 Hunkeler D.J., 2008, SETAC EUROPE ENV LIF Ibn-Mohammed T, 2013, ENERG BUILDINGS, V66, P232, DOI 10.1016/j.enbuild.2013.07.026 Karimpour M, 2014, BUILD ENVIRON, V73, P106, DOI 10.1016/j.buildenv.2013.11.019 Konig H, 2010, LIFE CYCLE APPROACH Kreiner H., 2012, LIFE CYCLE SUSTAINAB, P1794 Kreiner H., 2013, THESIS Landesimmobilien-Gesellschaft_mbH, 2010, BAU AUST KARM Lasvaux S, 2014, J CLEAN PROD, V79, P142, DOI 10.1016/j.jclepro.2014.06.003 Lutzkendorf T., 2014, BUILD RES INF Malmqvist T, 2011, ENERGY, V36, P1900, DOI 10.1016/j.energy.2010.03.026 Moncaster AM, 2013, ENERG BUILDINGS, V66, P514, DOI 10.1016/j.enbuild.2013.07.046 Moncaster A. M., 2012, INT J SUSTAIN BUILD, V3, P26, DOI DOI 10.1080/2093761X.2012.673915 Neumann K., 2010, CONSIDEO MODELER BOD OGNI, 2010, 201003 OGNI Passer A., 2010, E NOVA NACHHALTIGE G, P10 Passer A., 2012, ADV BUILDING SKINS, P87 Passer A., 2011, WORLD SUST BUILD C H, V1, P9 Passer A, 2012, INT J LIFE CYCLE ASS, V17, P1116, DOI 10.1007/s11367-012-0435-6 Picco M., 2014, ENERGY BUILD Rovers Ronald, 2014, BUILDINGS, V5, P1 Schalcher H.R., 2008, SYSTEMS ENG SKRIPT Schneider C., 2011, THESIS Schweber L, 2014, BUILD RES INF, V42, P300, DOI 10.1080/09613218.2014.889490 Schweber L, 2013, BUILD RES INF, V41, P129, DOI 10.1080/09613218.2013.768495 Seinre E, 2014, ENERG BUILDINGS, V70, P145, DOI 10.1016/j.enbuild.2013.11.048 Takano A, 2014, BUILD ENVIRON, V82, P526, DOI 10.1016/j.buildenv.2014.09.026 Thomas E., 2011, GREENBUILDING, V10 Vester F., 2008, KUNST VERNETZT DENKE Wallbaum H., 2011, TEC21, V47, P32 Wallhagen M., 2013, BUILDING, P39 Wallhagen M, 2011, BUILD RES INF, V39, P16, DOI 10.1080/09613218.2010.513210 Weigenberger M., 2014, ENERGY BUILD, V76, P551 Wiberg AH, 2014, ENERG BUILDINGS, V74, P101, DOI 10.1016/j.enbuild.2014.01.037 Wilms F., 2012, WIRKUNGSGEFUGE EINSA Wittstock B, 2012, THESIS Zuo J, 2014, RENEW SUST ENERG REV, V30, P271, DOI 10.1016/j.rser.2013.10.021 NR 61 TC 14 Z9 14 U1 1 U2 45 PU ELSEVIER SCIENCE SA PI LAUSANNE PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND SN 0378-7788 EI 1872-6178 J9 ENERG BUILDINGS JI Energy Build. PD DEC 15 PY 2015 VL 109 BP 385 EP 396 DI 10.1016/j.enbuild.2015.09.040 PG 12 WC Construction & Building Technology; Energy & Fuels; Engineering, Civil SC Construction & Building Technology; Energy & Fuels; Engineering GA CZ5AU UT WOS:000367115300035 DA 2019-04-09 ER PT J AU Malisch, CS Luscher, A Baert, N Engstrom, MT Studer, B Fryganas, C Suter, D Mueller-Harvey, I Salminen, JP AF Malisch, Carsten S. Luescher, Andreas Baert, Nicolas Engstrom, Marica T. Studer, Bruno Fryganas, Christos Suter, Daniel Mueller-Harvey, Irene Salminen, Juha-Pekka TI Large Variability of Proanthocyanidin Content and Composition in Sainfoin (Onobrychis viciifolia) SO JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY LA English DT Article DE condensed tannins; LC-ESI-QqQ-MS/MS; yield; breeding; polyphenols ID LESPEDEZA LESPEDEZA-CUNEATA; CONDENSED TANNINS; HYDROLYZABLE TANNINS; BIOACTIVE COMPOUNDS; GROWTH-CYCLE; FORAGE; SCOP.; SHEEP; PALATABILITY; CULTIVATION AB Proanthocyanidins (PAs) in sainfoin (Onobrychis viciifolia Scop.) are of interest to ameliorate the sustainability of livestock production. However, sainfoin forage yield and PA concentrations, as well as their composition, require optimization. Individual plants of 27 sainfoin accessions from four continents were analyzed with LC-ESI-QqQMS/MS for PA concentrations and simple phenolic compounds. Large variability existed in PA concentrations (23.0-47.5 mg g(-1) leaf dry matter (DM)), share of prodelphinidins (79-96%), and mean degree of polymerization (11-14) among, but also within, accessions. PAs were mainly located in leaves (26.8 mg g(-1) DM), whereas stems had less PAs (7.8 mg g(-1) DM). Overall, high-yielding plants had lower PA leaf concentrations (R-2 = 0.16, P < 0.001) and fewer leaves (R-2 = 0.66, P < 0.001). However, the results show that these two trade-offs between yield and bioactive PAs can be overcome. C1 [Malisch, Carsten S.; Luescher, Andreas; Suter, Daniel] Inst Sustainabil Sci ISS, Forage Prod & Grassland Syst, CH-8046 Zurich, Switzerland. [Malisch, Carsten S.; Studer, Bruno] Swiss Fed Inst Technol, Inst Agr Sci, Forage Crop Genet, CH-8092 Zurich, Switzerland. [Baert, Nicolas; Engstrom, Marica T.; Salminen, Juha-Pekka] Univ Turku, Lab Organ Chem & Chem Biol, Dept Chem, FI-20500 Turku, Finland. [Fryganas, Christos; Mueller-Harvey, Irene] Univ Reading, Chem & Biochem Lab, Sch Agr Policy & Dev, Reading RG6 6AT, Berks, England. RP Luscher, A (reprint author), Inst Sustainabil Sci ISS, Forage Prod & Grassland Syst, Reckenholzstr 191, CH-8046 Zurich, Switzerland. EM andreas.luescher@agroscope.admin.ch RI Studer, Bruno/O-2237-2017; Luscher, Andreas/E-2944-2018; Salminen, Juha-Pekka/N-3313-2017 OI Salminen, Juha-Pekka/0000-0002-2912-7094; Baert, Nicolas/0000-0003-2834-2566 FU European Commission [PITN-GA-2011-289377] FX These investigations were supported by the European Commission (PITN-GA-2011-289377, "LegumePlus" project). Sample analyses by UPLC-MS/MS were made possible by a strategic grant of the University of Turku (Ecological Interactions). CR Aufrere J, 2013, ANIMAL, V7, P82, DOI 10.1017/S1751731112001097 Azuhnwi BN, 2011, GRASS FORAGE SCI, V66, P474, DOI 10.1111/j.1365-2494.2011.00811.x Baert N., 2015, J CHROMATOGR A, V1419, P26, DOI 10.1016/j.chroma.2015.09.050 Barrau E, 2005, PARASITOLOGY, V131, P531, DOI 10.1017/S0031182005008024 Boiler B., 2010, FODDER CROPS AMENITY, V5, P13 Boller B., 2010, FODDER CROPS AMENITY, V5, P439 Borreani G, 2003, AGRONOMIE, V23, P193, DOI 10.1051/agro:2002082 CHORLEY P, 1981, AGR HIST REV, V29, P118 COLEY PD, 1985, SCIENCE, V230, P895, DOI 10.1126/science.230.4728.895 Engstrom MT, 2014, J AGR FOOD CHEM, V62, P3390, DOI 10.1021/jf500745y Figueroa-Perez MG, 2014, J AGR FOOD CHEM, V62, P12027, DOI 10.1021/jf503628c Goplen B. P., 1991, SAINFOIN W CANADA, P1 Grabber JH, 2013, J AGR FOOD CHEM, V61, P2669, DOI 10.1021/jf304158m Haring DA, 2008, RENEW AGR FOOD SYST, V23, P19, DOI 10.1017/S1742170507002049 Haring DA, 2007, ANN BOT-LONDON, V99, P111, DOI [10.1093/aob/mcl227, 10.1093/aob/mc1227] Hatew B, 2016, J ANIM PHYSIOL AN N, V100, P348, DOI 10.1111/jpn.12336 Huang XD, 2011, J AGR FOOD CHEM, V59, P10677, DOI 10.1021/jf201925g Kingston-Smith AH, 2010, P NUTR SOC, V69, P613, DOI 10.1017/S0029665110001953 Klongsiriwet C, 2015, INT J PARASITOL-DRUG, V5, P127, DOI 10.1016/j.ijpddr.2015.06.001 Kommuru DS, 2014, VET PARASITOL, V204, P191, DOI 10.1016/j.vetpar.2014.04.017 Koricheva J, 1999, OECOLOGIA, V119, P467, DOI 10.1007/s004420050809 Lattanzio V, 2003, J APPL BOT-ANGEW BOT, V77, P128 Lee CC, 2013, FOOD FUNCT, V4, P794, DOI 10.1039/c3fo30389f LEES GL, 1995, CAN J BOT, V73, P1540, DOI 10.1139/b95-167 Lemaire G, 1997, DIAGNOSIS NITROGEN S, P3, DOI DOI 10.1007/978-3-642-60684-7_1 Lu YR, 2000, PHYTOCHEMISTRY, V55, P67, DOI 10.1016/S0031-9422(00)00143-6 Luscher A, 2014, GRASS FORAGE SCI, V69, P206, DOI 10.1111/gfs.12124 Marais JPJ, 2000, J AGR FOOD CHEM, V48, P3440, DOI 10.1021/jf000388h Mechineni A, 2014, VET PARASITOL, V204, P221, DOI 10.1016/j.vetpar.2014.06.002 Mueller-Harvey I, 2006, J SCI FOOD AGR, V86, P2010, DOI 10.1002/jsfa.2577 Pinheiro J, 2014, NLME LINEAR NONLINEA R Core Team, 2014, R LANG ENV STAT COMP Regos I, 2009, J AGR FOOD CHEM, V57, P5843, DOI 10.1021/jf900625r Salminen JP, 2003, J CHEM ECOL, V29, P1289, DOI 10.1023/A:1024249016741 Salminen JP, 2002, Z NATURFORSCH C, V57, P248 Scharenberg A, 2007, ARCH ANIM NUTR, V61, P481, DOI 10.1080/17450390701664355 Scioneaux AN, 2011, J CHEM ECOL, V37, P57, DOI 10.1007/s10886-010-9887-y Stamp N, 2003, Q REV BIOL, V78, P23, DOI 10.1086/367580 Stringano E, 2012, PHYTOCHEMISTRY, V77, P197, DOI 10.1016/j.phytochem.2012.01.013 Theodoridou K, 2011, GRASS FORAGE SCI, V66, P402, DOI 10.1111/j.1365-2494.2011.00798.x Veitch NC, 2011, PHYTOCHEMISTRY, V72, P423, DOI 10.1016/j.phytochem.2011.01.001 Walter A, 2012, ANN BOT-LONDON, V110, P1271, DOI 10.1093/aob/mcs026 Wang YX, 2015, CROP SCI, V55, P13, DOI 10.2135/cropsci2014.07.0489 Zeller WE, 2015, J AGR FOOD CHEM, V63, P1160, DOI 10.1021/jf504715p NR 44 TC 27 Z9 27 U1 0 U2 35 PU AMER CHEMICAL SOC PI WASHINGTON PA 1155 16TH ST, NW, WASHINGTON, DC 20036 USA SN 0021-8561 EI 1520-5118 J9 J AGR FOOD CHEM JI J. Agric. Food Chem. PD DEC 2 PY 2015 VL 63 IS 47 BP 10234 EP 10242 DI 10.1021/acs.jafc.5b04946 PG 9 WC Agriculture, Multidisciplinary; Chemistry, Applied; Food Science & Technology SC Agriculture; Chemistry; Food Science & Technology GA CX8CK UT WOS:000365930000004 PM 26551032 OA Bronze, Green Published DA 2019-04-09 ER PT J AU Wilkinson, J AF Wilkinson, John TI Food security and the global agrifood system: Ethical issues in historical and sociological perpspective SO GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT LA English DT Article DE Food security; Global agrifood system; Ethics; Rights; Agricultural exceptionalism; Sustainability ID FAIR TRADE AB The world food system was developed under the auspices of free trade. Very quickly though free trade was countered with protectionism in the form of policies favoring national and cultural food security. The traumas of World War led to the introduction of international commitments on individual rights with respect to labor and the right to freedom from hunger. From the seventies, the pendulum swung back in favor of free trade, this time provoking a response in the form of fair and ethical trade. The introduction of new food markets promoted by social movements as from the eighties where values were attached to the conditions and processes of production rather than the product itself led to agriculture and food markets becoming imbued with ethical attributes. At the same time, an increasingly holistic concept of food security became adopted in international forums pointing to the need for policies which were no longer reducible to food aid. While for a period, broader ethical values were identified only with alternative food networks, as from the turn of the new millennium, under the collective umbrella of economic, social and environmental sustainability, they became adopted by the global agri-food players as the triple bottom line for all agricultural and food markets. Although a new consensus has been achieved on the centrality of sustainability and food security a range of tensions and conflicts persist over the relation between food security and trade, investment, biofuels, producer and consumer rights, animal welfare, nature and the environment. (C) 2015 Elsevier B.V. All rights reserved. C1 [Wilkinson, John] Fed Rural Univ, Grad Ctr Dev Agr & Soc CPDA, Rio De Janeiro, Brazil. RP Wilkinson, J (reprint author), Fed Rural Univ, Grad Ctr Dev Agr & Soc CPDA, Rio De Janeiro, Brazil. CR AKERLOF GA, 1970, Q J ECON, V84, P488, DOI 10.2307/1879431 Anderson MD, 2013, J RURAL STUD, V29, P113, DOI 10.1016/j.jrurstud.2012.09.004 Appleby M., 2014, DILEMMAS ANIMAL WEL Barrientos S., 2006, ETI CODE LABOUR PRAC Boyer R., 1995, GRANDE TRANSFORMATIO Burgess A, 2001, SAGE, V1, P93 Busch L, 2012, STANDARDS RECIPES Cashore B., 2004, GOVERNING MARKETS FO De Schutter O., 2008, BUILDING RESILIENCE FAO, 1995, IMPL UR ROUND AGR AG Friedmann Harriet, 1982, AM J SOCIOL, V88, P248, DOI DOI 10.1086/649258 Gerschenkron A., 1989, BREAD DEMOCRACY Goodman D, 2003, J RURAL STUD, V19, P1, DOI 10.1016/S0743-0167(02)00043-8 GRANOVETTER M, 1985, AM J SOCIOL, V91, P481, DOI 10.1086/228311 Grasseni C., 2013, ALTERNATIVE Hesterman G.B., 2012, FAIR FOOD FOUND Hinrichs C. Clare, 2008, REMAKING N AM FOOD S HLPE, 2013, INV SMALLH AGR FOOD HLPE, 2011, PRIC VOL FOOD SEC HLPE, 2013, BIOF FOOD SEC Holt-Gimenez E., 2012, FOOD REBELLIONS Jaffee D, 2004, RURAL SOCIOL, V69, P169, DOI 10.1526/003601104323087561 Lawrence G., 2010, FOOD SECUTIRY Le Velly R., 2015, HDB RES FAIR TRADE Leonard C., 2014, THE MEAT RACKET Lowe P, 2002, J RURAL STUD, V18, P1, DOI 10.1016/S0743-0167(01)00025-0 Ludlow N. Piers, 2005, CONT EUROPEAN HIST, V14, P347, DOI DOI 10.1017/S0960777305002493 Martin P.L., 1988, HARVEST OF CONFUSION Maybury-Lewis B., 1964, POLITICS POSSIBLE Maye D, 2013, J RURAL STUD, V29, P1, DOI 10.1016/j.jrurstud.2012.12.001 Miele M, 2011, ANIM WELFARE, V20, P103 Moore Jnr Barrington, 1966, SOCIAL ORIGINS DICTA Morgan K., 2006, WORLDS Nash Roderick, 1989, THE RIGHTS OF NATURE OECD, 2001, UR ROUND AGR AGR EV Polany K., 1944, GREAT TRANSFORMATION Ponte S, 2005, ECON SOC, V34, P1, DOI 10.1080/0308514042000329315 Ponte S, 2014, GEOFORUM, V54, P261, DOI 10.1016/j.geoforum.2013.07.008 Raynolds L., 2007, FAIR TRADE CHALELNGE Reinalda B., 2013, MANSHOLT Rifkin J., 1992, BEYOND BEEF Schot J.J., 2004, FREE TRADE AGREEMENT Scott J., 1997, MORAL EC PEASANT Steiner P., 2007, MARCHES AGROALIMENTA Suranovic Steven, 2015, HDB RES FAIR TRADE Sylla N., 2014, FAIR RADE SCANDAL THOMPSON EP, 1971, PAST PRESENT, P76 Tracy M., 1982, AGR W EUROPE Warde A., 2004, QUALITIES FOOD Wilkinson J., 1997, EC SOC, V26, P335, DOI DOI 10.1080/03085149700000017 Wilkinson J, 2011, ENVIRON PLANN A, V43, P2012, DOI 10.1068/a43254 WWF, 2010, CERT NR 52 TC 4 Z9 4 U1 0 U2 46 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2211-9124 J9 GLOB FOOD SECUR-AGR JI Glob. Food Secur.-Agric.Policy PD DEC PY 2015 VL 7 BP 9 EP 14 DI 10.1016/j.gfs.2015.12.001 PG 6 WC Food Science & Technology SC Food Science & Technology GA DD7CG UT WOS:000370080700002 OA Other Gold DA 2019-04-09 ER PT J AU Fanzo, J AF Fanzo, Jessica TI Ethical issues for human nutrition in the context of global food security and sustainable development SO GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT LA English DT Article DE Nutrition; Measures; Ethics; Morals; Resource-intensive ID CHILD UNDERNUTRITION; HEALTH; COUNTRIES; GROWTH; INTERVENTIONS; OBESITY; SCIENCE; INCOME; LIFE AB One of the great dilemmas of our time is how we will secure and provide plentiful, healthy and nutritious food for all, do so in an environmentally sustainable and safe manner, while addressing the multiple burdens of undernutrition, overweight and obesity and micronutrient deficiencies. The food security directive focuses predominantly on ensuring the world is producing and consuming enough calories in bulk to reduce hunger and safeguard survival, as opposed to a goal that includes nutrition for well-being and development. To advance the dialogue, it is necessary to consider the ethical questions that swirl around integrating nutrition into the food security paradigm. The health, environmental, economic, and societal costs will be substantial if we do not change our course of action when it comes to feeding the world. Yet solving this problem is riddled with ethical and moral implications. Key ethical issues to consider include how to make societal decisions and define values about food security that impact nutrition outcomes, and the ethical trade-offs between environmental sustainability and ensuring that individual dietary and nutritional needs are met. Such complex issues underscore the need to articulate the broader ethical landscape of the nutrition debate within global food security. (C) 2015 The Author. Published by Elsevier B.V. C1 [Fanzo, Jessica] Johns Hopkins Univ, Nitze Sch Adv Int Studies, Berman Inst Bioeth, Washington, DC 20036 USA. RP Fanzo, J (reprint author), Johns Hopkins Univ, Nitze Sch Adv Int Studies, Berman Inst Bioeth, Washington, DC 20036 USA. CR Acosta AM, 2012, FIGHTING MATERNAL CH Adair LS, 2013, LANCET, V382, P525, DOI 10.1016/S0140-6736(13)60103-8 Berry W, 1990, WHAT ARE PEOPLE ESSA Black RE, 2013, LANCET, V382, P427, DOI 10.1016/S0140-6736(13)60937-X Dewey KG, 2008, MATERN CHILD NUTR, V4, P24, DOI 10.1111/j.1740-8709.2007.00124.x DFID, 2011, SCAL NUTR UKS POS PA Dwyer J, 2006, AM J CLIN NUTR, V83, p415S F.A.O, 2014, FAOSTAT FAO, 2013, STAT FOOD AGR FAO AGN, 2012, COM TERMS TERM FAO (Food and Agriculture Organization), 1996, FOOD SEC DEF WORLD F FAO/WUR (Food and Agriculture Organization/Wageningen University and Research Centre), 2013, ED INS FUT PROSP FOO Gillespie S, 2013, LANCET, V382, P552, DOI 10.1016/S0140-6736(13)60842-9 Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Gostin L, 2010, PUBLIC HLTH LAW ETHI Harris JL, 2009, ANNU REV PUBL HEALTH, V30, P211, DOI 10.1146/annurev.publhealth.031308.100304 Herforth A., 2014, LEARNING HIST AGR FO Hoddinot J., 2012, COPENHAGEN CONSENSUS Hoddinott J, 2013, AM J CLIN NUTR, V98, P1170, DOI 10.3945/ajcn.113.064584 Institute of Medicine (IOM), 2006, COMM FOOD MARK DIETS Johnston JL, 2014, ADV NUTR, V5, P418, DOI 10.3945/an.113.005553 Joint WHO/ FAO Expert Consultation on Diet, 2002, WHO TECHN REP SER, V916 Jones AD, 2013, ADV NUTR, V4, P481, DOI 10.3945/an.113.004119 Keats S., 2014, FUTURE DIETS IMPLICA Lappe FM, 2013, ETHICS INT AFF, V27, P251, DOI 10.1017/S0892679413000191 Levine R, 2009, GLOBAL NUTR I IS THE Macdiarmid J., 2011, BALANCE HLTH SUSTAIN Macintyre S, 2002, SOC SCI MED, V55, P125, DOI 10.1016/S0277-9536(01)00214-3 Menon P, 2012, ADV NUTR, V3, P224, DOI 10.3945/an.111.001115 Monteiro CA, 2012, PLOS MED, V9, DOI 10.1371/journal.pmed.1001252 Moss M., 2013, SALT SUGAR AND FAT Ng M, 2014, LANCET, V384, P766, DOI 10.1016/S0140-6736(14)60460-8 Page H., 2013, GLOBAL GOVERNANCE FO Pechmann C, 2005, J PUBLIC POLICY MARK, V24, P202, DOI 10.1509/jppm.2005.24.2.202 Popkin BM, 2011, EMBO REP, V12, P11, DOI 10.1038/embor.2010.200 Popkin BM, 2012, NUTR REV, V70, P3, DOI 10.1111/j.1753-4887.2011.00456.x Prentice AM, 2013, AM J CLIN NUTR, V97, P911, DOI 10.3945/ajcn.112.052332 Reisch L., 2013, SUSTAINABILITY SCI P, V9, P7, DOI DOI 10.1080/15487733.2013.11908111 Scaling Up Nutrition (SUN), 2013, PROGR REP Stokstad E, 2010, SCIENCE, V327, P810, DOI 10.1126/science.327.5967.810 The World Bank, 2010, WORLD DEV REP 2010 D Thompson P.B., 2015, FIELD FORK FOOD ETHI Victora CG, 2010, PEDIATRICS, V125, pE473, DOI 10.1542/peds.2009-1519 Voigt K, 2014, CHILDHOOD OBESITY ET Walker P, 2005, PUBLIC HEALTH NUTR, V8, P348, DOI 10.1079/PHN2005727 Wilkinson P, 2009, LANCET, V374, P1917, DOI 10.1016/S0140-6736(09)61713-X Woodcock J, 2007, LANCET, V370, P1078, DOI 10.1016/S0140-6736(07)61254-9 World Bank, 2013, IMPR NUTR MULT APPR World Bank, 2006, REP NUTR CENTR DEV Yach D, 2014, OBES REV, V15, P2, DOI 10.1111/obr.12125 NR 50 TC 7 Z9 8 U1 1 U2 30 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2211-9124 J9 GLOB FOOD SECUR-AGR JI Glob. Food Secur.-Agric.Policy PD DEC PY 2015 VL 7 BP 15 EP 23 DI 10.1016/j.gfs.2015.11.001 PG 9 WC Food Science & Technology SC Food Science & Technology GA DD7CG UT WOS:000370080700003 OA Other Gold DA 2019-04-09 ER PT J AU Jabado, RW Al Ghais, SM Hamza, W Henderson, AC AF Jabado, Rima W. Al Ghais, Saif M. Hamza, Waleed Henderson, Aaron C. TI The shark fishery in the United Arab Emirates: an interview based approach to assess the status of sharks SO AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS LA English DT Article DE ocean; coastal; biodiversity; sustainability; monitoring; fish; fishing ID GULF; MANAGEMENT; KNOWLEDGE; OMAN; PARTICIPATION; MADAGASCAR; CALIFORNIA; CHECKLIST; ECOLOGY; HISTORY AB 1. Anecdotal evidence suggests that sharks are being targeted in the United Arab Emirates artisanal fishery. However, little information is available on this fishery and baseline information is essential for understanding its impact on shark populations in the Arabian/Persian Gulf, and for managing sharks in this region. 2. The aim of this study was to investigate the artisanal shark fishery and gain an insight into the social, motivational and economic drivers behind it. Fishery characteristics were examined and the effect of fishing on local shark stocks assessed by interviewing Emirati fishermen across the country (n = 126). 3. Sharks were found to be increasingly targeted owing to their high value in the global fin trade industry. The majority of fishermen (80%) confirmed that changes in species composition, abundance and sizes of sharks have been continuing for more than two decades, mainly because of overfishing, raising concerns about the sustainability of this fishery. 4. Results suggest that sharks are likely to be overexploited and that management measures will need to take into account the precautionary principle. There is an urgent need to formulate long-term and effective conservation and management plans to prevent further declines in a number of species. 5. Additional efforts should be directed to quantify the ecological implications of the observed changes and determine if these are aggravated by the life-history traits of the fished species. Such implications should be considered when assessing the sustainability of local fisheries. 6. The data gathered can now serve as a reference to managers, fisheries scientists and other stakeholders to prioritize future research as well as lay foundations for the development and implementation of national management plans for the protection and conservation of sharks. Copyright (C) 2014 John Wiley & Sons, Ltd. C1 [Jabado, Rima W.; Al Ghais, Saif M.; Hamza, Waleed; Henderson, Aaron C.] United Arab Emirates Univ, Dept Biol, Al Ain, U Arab Emirates. Ctr Marine Resource Studies, Sch Field Studies, South Caicos, Micronesia. RP Jabado, RW (reprint author), UAE Univ, Fac Sci, Dept Biol, POB 15551, Al Ain, U Arab Emirates. EM rjabado@uaeu.ac.ae OI Jabado, Rima/0000-0001-6239-6723 FU United Arab Emirates University FX This research was supported by the United Arab Emirates University through a PhD scholarship to Rima W. Jabado. We thank all the fishermen for their time and for sharing their experience and their knowledge of the shark fishery. We wish to acknowledge the use of the Maptool program for the map in this paper. Maptool is a product of seaturtle.org (information is available at www.seaturtle.org). CR Al Janahi A, 2008, BEST PRACTICE EXPLOI Al Janahi A, 2008, COASTAL MARINE ENV U Anderson R, 1993, SHARK FISHERIES MALD Barker MJ, 2005, AQUAT CONSERV, V15, P325, DOI 10.1002/aqc.660 Basson P.W., 1977, BIOTOPES W ARABIAN G Beebe J., 2001, RAPID ASSESSMENT PRO Beech M., 2004, LAND ICHTHYOPHAGI MO Benbow S, 2007, COMMUNITY ATTITUDES Bishop JM, 2003, J ARID ENVIRON, V54, P237, DOI 10.1006/jare.2001.0874 BISHOP JM, 1993, J FISH BIOL, V43, P939, DOI 10.1006/jfbi.1993.1197 Bizzarro Joseph J., 2009, Bulletin Southern California Academy of Sciences, V108, P137, DOI 10.3160/0038-3872-108.3.137 Blegvad H, 1944, FISHES IRANIAN GULF Bonfil R., 2001, CONSULTANCY ELASMOBR Bonfil R., 1994, OVERVIEW WORLD ELASM Bunce M, 2008, OCEAN COAST MANAGE, V51, P285, DOI 10.1016/j.ocecoaman.2007.09.006 CAMHI M., 1998, SHARKS THEIR RELATIV Carpenter K.E., 1997, FAO SPECIES IDENTIFI Cheung WWL, 2004, REV FISH BIOL FISHER, V14, P181, DOI 10.1007/s11160-004-5422-y Compagno LJ V, 2005, SHARKS WORLD DEYOUNG C, 2006, 488 FAO Dulvy NK, 2008, AQUAT CONSERV, V18, P459, DOI 10.1002/aqc.975 EAD (Environment Agency Abu Dhabi), 2011, ENV ATL AB DHAB EM FAO, 2009, TECHN WORKSH STAT LI FAO (Food and Agriculture Organization of the United Nations) Fisheries Department, 2009, STAT WORLD FISH AQ 2 Grandcourt Edwin, 2012, P127 Gubanov EP, 1980, SHARKS ARABIAN GULF Hamza W, 2009, AQUAT ECOSYST HEALTH, V12, P429, DOI 10.1080/14634980903361580 Hartmann S, 2010, ANN FISHERIES STAT R Henderson AC, 2007, FISH RES, V86, P159, DOI 10.1016/j.fishres.2007.05.012 Henderson AC, 2006, J FISH BIOL, V68, P1662, DOI 10.1111/j.0022-1112.2006.01011.x Henderson AC, 2008, SURVEY STATUS UTILIS Heyman WD, 2012, FISH RES, V125, P129, DOI 10.1016/j.fishres.2012.02.016 Humber F, 2011, ANIM CONSERV, V14, P175, DOI 10.1111/j.1469-1795.2010.00413.x Ibrahim MA, 1984, FISHERIES QATAR PRES Johannes RE, 2000, FISH FISH, V1, P257, DOI 10.1111/j.1467-2979.2000.00019.x Joseph L, 1999, CASE STUDIES MANAG 1, P1 Khan NY, 2007, AQUAT ECOSYST HEALTH, V10, P259, DOI 10.1080/14634980701551168 KURONUMA K., 1986, FISHES ARABIAN GULF Lam VYY, 2011, FISH FISH, V12, P51, DOI 10.1111/j.1467-2979.2010.00383.x Mannini P, 2010, TRENDS EMERGING ISSU McCluskey SM, 2008, FISH FISH, V9, P188, DOI 10.1111/j.1467-2979.2008.00283.x Miller KK, 2009, WILDLIFE RES, V36, P48, DOI 10.1071/WR08006 MoEW, 2013, FISH STAT 1999 2009 Moore ABM, 2012, J FISH BIOL, V80, P1619, DOI 10.1111/j.1095-8649.2011.03210.x Moore ABM, 2012, ZOOTAXA, P1 Moore ABM, 2010, ZOOL MIDDLE EAST, V50, P83, DOI 10.1080/09397140.2010.10638415 Moore JE, 2010, BIOL CONSERV, V143, P795, DOI 10.1016/j.biocon.2009.12.023 Ormsby J, 2004, RES PUBLICATION GREA, V78 PAULY D, 1995, TRENDS ECOL EVOL, V10, P430, DOI 10.1016/S0169-5347(00)89171-5 Pinnegar JK, 2008, REV FISH BIOL FISHER, V18, P1, DOI 10.1007/s11160-007-9058-6 Poizat G, 1997, ENVIRON BIOL FISH, V50, P435, DOI 10.1023/A:1007317423165 Rasalato E, 2010, ENVIRON CONSERV, V37, P90, DOI 10.1017/S0376892910000317 Robinson L, 2013, AFR J MAR SCI, V35, P9, DOI 10.2989/1814232X.2013.769906 Saenz-Arroyo A, 2005, P ROY SOC B-BIOL SCI, V272, P1957, DOI 10.1098/rspb.2005.3175 Schaeffer D, 2004, ASSESSMENT ARTISANAL Shallard and Associates, 2003, FISH RES ASS SURV PR Sheppard C.R.C., 1992, MARINE ECOLOGY ARABI Shotton R, 1999, CASE STUDIES MANAG 1, P1 Silver JJ, 2005, OCEAN COAST MANAGE, V48, P721, DOI 10.1016/j.ocecoaman.2005.06.003 Sivasubramaniam K, 1982, QATAR SCI B, V2, P305 Sivasubramaniam K, 1981, REPORT DEMERSAL RESO Stevens JD, 2000, ICES J MAR SCI, V57, P476, DOI 10.1006/jmsc.2000.0724 Straits BC, 1993, APPROACHES SOCIAL RE Tourenq Christophe, 2007, Tribulus, V17, P63 Valinassab T, 2006, J MAR BIOL ASSOC UK, V86, P1455, DOI 10.1017/S0025315406014512 Vine P, 2009, UAE YB Watts S, 2005, ROCK BOTTOM DECLININ White A. W., 1971, COMMON SEA FISHES AR White PCL, 2005, J APPL ECOL, V42, P421, DOI 10.1111/j.1365-2664.2005.01032.x Worm B, 2013, MAR POLICY, V40, P194, DOI 10.1016/j.marpol.2012.12.034 NR 70 TC 13 Z9 14 U1 2 U2 35 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1052-7613 EI 1099-0755 J9 AQUAT CONSERV JI Aquat. Conserv.-Mar. Freshw. Ecosyst. PD DEC PY 2015 VL 25 IS 6 BP 800 EP 816 DI 10.1002/aqc.2477 PG 17 WC Environmental Sciences; Marine & Freshwater Biology; Water Resources SC Environmental Sciences & Ecology; Marine & Freshwater Biology; Water Resources GA DB1RJ UT WOS:000368286200006 DA 2019-04-09 ER PT J AU Galeazzo, A Klassen, RD AF Galeazzo, Ambra Klassen, Robert D. TI Organizational context and the implementation of environmental and social practices: what are the linkages to manufacturing strategy? SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Manufacturing strategy; Competitive priorities; Contingency approach; Sustainable operations ID HUMAN-RESOURCE MANAGEMENT; POLLUTION PREVENTION PROJECTS; COMPETITIVE PRIORITIES; OPERATIONAL PERFORMANCE; SUSTAINABLE DEVELOPMENT; RESPONSIBLE PRACTICES; INDUSTRIAL COMPANIES; QUALITY MANAGEMENT; SUPPLY MANAGEMENT; TAXONOMY AB Previous studies have paid relatively little attention to how a plant's strategic objectives for sustainability are balanced against traditional manufacturing objectives. Based on a contingency approach to operations management, this research investigates the linkages between manufacturing strategy, with particular attention on the priority given to sustainability, the organizational context, and the implementation of environmental and social practices. Using data from a survey of Canadian manufacturing plants, contextual factors indicative of plant visibility were linked to a sustainability-oriented manufacturing strategy. Moreover, this strategy demonstrably affected the implementation of environmental practices, but not social practices. Furthermore, these results identified that sustainability tends to be associated with the competitive priorities of quality and delivery. Collectively, the adoption of a strategic viewpoint for sustainability opens up new theoretical insights into the operationalization of practices. First, while manufacturing strategy can provide positive support for sustainability, it is not yet a sufficient condition to implement sustainable practices. Second, a trade-off between environmental and social aspects may occur when they are simultaneously implemented. Thus, managers might see positive environmental practices implemented naturally as part of a broader manufacturing strategy, but must carefully emphasize social practices using other means. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Galeazzo, Ambra] Univ Padua, Dept Econ & Management, I-35123 Padua, Italy. [Klassen, Robert D.] Univ Western Ontario, Richard Ivey Sch Business, London, ON, Canada. RP Galeazzo, A (reprint author), Univ Padua, Dept Econ & Management, Via Santo 33, I-35123 Padua, Italy. EM ambra.galeazzo@unipd.it; rklassen@ivey.uwo.ca OI Klassen, Robert/0000-0002-8650-137X CR ABRAHAMSON E, 1993, ACAD MANAGE REV, V18, P487, DOI 10.2307/258906 ARMSTRONG JS, 1977, J MARKETING RES, V14, P396, DOI 10.2307/3150783 Avella L, 1998, INT J PROD RES, V36, P3113, DOI 10.1080/002075498192328 Awaysheh A, 2010, INT J OPER PROD MAN, V30, P1246, DOI 10.1108/01443571011094253 Bagozzi R. P, 1994, PRINCIPLES MARKETING, V1, P1 Bansal P, 2005, STRATEGIC MANAGE J, V26, P197, DOI 10.1002/smj.441 Bansal T., 2000, ACAD MANAGE J, V43, P717 Betts TK, 2015, J CLEAN PROD, V92, P282, DOI 10.1016/j.jclepro.2015.01.002 Bozarth C, 1998, J OPER MANAG, V16, P427, DOI 10.1016/S0272-6963(98)00022-9 Cagliano R, 2005, INT J OPER PROD MAN, V25, P701, DOI [10.1108/01443570510605108, 10.1108/01443570510605090] Jabbour CJC, 2013, J CLEAN PROD, V47, P129, DOI 10.1016/j.jclepro.2012.07.010 Christiansen T, 2003, INT J OPER PROD MAN, V23, P1163, DOI 10.1108/01443570310496616 Christmann P, 2004, ACAD MANAGE J, V47, P747, DOI 10.2307/20159616 Christmann P, 2001, J INT BUS STUD, V32, P439, DOI 10.1057/palgrave.jibs.8490976 Cohen J., 2003, APPL MULTIPLE REGRES Colwell SR, 2013, BUS STRATEG ENVIRON, V22, P73, DOI 10.1002/bse.732 Darnall N, 2008, POLICY STUD J, V36, P95, DOI 10.1111/j.1541-0072.2007.00255.x Darnall N, 2010, J MANAGE STUD, V47, P1072, DOI 10.1111/j.1467-6486.2009.00873.x Darnall N, 2008, J INT MANAG, V14, P364, DOI 10.1016/j.intman.2007.09.006 De Meyer A., 1990, EMPIRICAL INVESTIGAT Devaraj S, 2004, J OPER MANAG, V22, P313, DOI 10.1016/j.jom.2004.03.001 Dillman D.A., 2000, MAIL INTERNET SURVEY DIMAGGIO PJ, 1983, AM SOCIOL REV, V48, P147, DOI 10.2307/2095101 DOTY DH, 1993, ACAD MANAGE J, V36, P1196, DOI 10.2307/256810 Egels-Zanden N, 2015, J CLEAN PROD, V96, P139, DOI 10.1016/j.jclepro.2014.01.072 Freeman R., 1984, STRATEGIC MANAGEMENT Frohlich MT, 2001, J OPER MANAG, V19, P541, DOI 10.1016/S0272-6963(01)00063-8 Galeazzo A, 2014, J CLEAN PROD, V85, P191, DOI 10.1016/j.jclepro.2013.10.015 Galeazzo A, 2014, INT J PROD ECON, V153, P149, DOI 10.1016/j.ijpe.2014.02.015 Gavronski I, 2011, TRANSPORT RES E-LOG, V47, P872, DOI 10.1016/j.tre.2011.05.018 Gimenez C, 2012, INT J PROD ECON, V140, P149, DOI 10.1016/j.ijpe.2012.01.035 Gonzalez-Benito J, 2010, BUS STRATEG ENVIRON, V19, P164, DOI 10.1002/bse.631 Grant DS, 2002, AM SOCIOL REV, V67, P389 Grant N, 2013, J MANUF TECHNOL MANA, V24, P488, DOI 10.1108/17410381311327378 Hair J.F., 2006, MULTIVARIATE DATA AN Hajmohammad S., 2013, J BUS ETHICS, P1, DOI 10.1007/s10551-013-1813-0 Hajmohammad S, 2013, J CLEAN PROD, V39, P312, DOI 10.1016/j.jclepro.2012.07.028 Hughes S. B., 2001, J ACCOUNTING PUBLIC, V20, P217, DOI [10.1016/S0278-4254(01)00031-X, DOI 10.1016/S0278-4254(01)00031-X] Jarzabkowski P, 2015, STRATEGIC MANAGE J, V36, P537, DOI 10.1002/smj.2270 Kathuria R, 2000, J OPER MANAG, V18, P627, DOI 10.1016/S0272-6963(00)00042-5 Kathuria R, 2010, INT J OPER PROD MAN, V30, P1080, DOI 10.1108/01443571011082535 Ketchen DJ, 1996, STRATEGIC MANAGE J, V17, P441, DOI 10.1002/(SICI)1097-0266(199606)17:6<441::AID-SMJ819>3.0.CO;2-G Kim DY, 2012, J OPER MANAG, V30, P295, DOI 10.1016/j.jom.2012.02.003 Klassen RD, 2000, INTERFACES, V30, P95, DOI 10.1287/inte.30.3.95.11655 Klassen RD, 2001, PROD OPER MANAG, V10, P257 Klassen RD, 1999, ACAD MANAGE J, V42, P599, DOI 10.2307/256982 Kolk A, 2010, INT BUS REV, V19, P119, DOI 10.1016/j.ibusrev.2009.12.003 KUMAR N, 1993, ACAD MANAGE J, V36, P1633, DOI 10.2307/256824 Longoni A, 2015, INT J OPER PROD MAN, V35, P216, DOI 10.1108/IJOPM-04-2013-0182 Jabbour ABLD, 2014, TRANSPORT RES E-LOG, V67, P39, DOI 10.1016/j.tre.2014.03.005 Malhotra MK, 1998, J OPER MANAG, V16, P407, DOI 10.1016/S0272-6963(98)00021-7 Martin-Pena ML, 2008, INT J OPER PROD MAN, V28, P455, DOI 10.1108/01443570810867204 Meyer K. E, 2011, J MANAG STUD, V48 MILLER JG, 1994, MANAGE SCI, V40, P285, DOI 10.1287/mnsc.40.3.285 Paille P, 2014, J BUS ETHICS, V121, P451, DOI 10.1007/s10551-013-1732-0 Podsakoff PM, 2003, J APPL PSYCHOL, V88, P879, DOI 10.1037/0021-9101.88.5.879 Porter M. E., 1985, COMPETITIVE ADVANTAG RICHARDSON PR, 1985, INTERFACES, V15, P15, DOI 10.1287/inte.15.6.15 Safizadeh MH, 2000, PROD OPER MANAG, V9, P111, DOI 10.1111/j.1937-5956.2000.tb00328.x Sarkis J, 2010, J OPER MANAG, V28, P163, DOI 10.1016/j.jom.2009.10.001 Schoenherr T, 2014, J BUS LOGIST, V35, P172, DOI 10.1111/jbl.12052 Shafiq A, 2014, DECISION SCI, V45, P683, DOI 10.1111/deci.12085 Shah K.U., 2010, CORP SOC RESP ENV MA, V18, P80 Sharma S., 1998, STRAT MANAG J, V19 Sousa R, 2008, J OPER MANAG, V26, P697, DOI 10.1016/j.jom.2008.06.001 STOBAUGH R, 1983, HARVARD BUS REV, V61, P113 Sum CC, 2004, INT J OPER PROD MAN, V24, P321, DOI 10.1108/01443570410519051 Sung SY, 2014, J ORGAN BEHAV, V35, P393, DOI 10.1002/job.1897 Sweeney M. T., 1991, International Journal of Operations & Production Management, V11, P6, DOI 10.1108/EUM0000000001277 Tschopp D. J., 2005, Corporate Social Responsibility and Environmental Management, V12, P55, DOI 10.1002/csr.69 Wagner M, 2011, Z PERSONALFORSCH, V25, P157, DOI 10.1688/1862-0000_ZfP_2011_02_Wagner Ward PT, 2007, INT J OPER PROD MAN, V27, P951, DOI 10.1108/01443570710775810 Ward PT, 1996, J MANAGE, V22, P597, DOI 10.1177/014920639602200404 Wolf J, 2013, BUS STRATEG ENVIRON, V22, P92, DOI 10.1002/bse.1731 Wu ZH, 2011, J OPER MANAG, V29, P577, DOI 10.1016/j.jom.2010.10.001 Youndt MA, 1996, ACAD MANAGE J, V39, P836, DOI 10.2307/256714 Zhang JJ, 2013, ORGAN SCI, V24, P1742, DOI 10.1287/orsc.1120.0813 Zhao XD, 2006, J OPER MANAG, V24, P621, DOI 10.1016/j.jom.2005.07.003 NR 78 TC 7 Z9 7 U1 0 U2 26 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD DEC 1 PY 2015 VL 108 BP 158 EP 168 DI 10.1016/j.jclepro.2015.06.053 PN A PG 11 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DA4IB UT WOS:000367762500016 DA 2019-04-09 ER PT J AU Arena, M Conte, A Melacini, M AF Arena, Marika Conte, Antonio Melacini, Marco TI Linking environmental accounting to reward systems: the case of the Environmental Profit and Loss Account SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Environmental accounting; Environmental impact; Environmental performance indicator; Environmental Profit and Loss Account; Internal accountability; Reward system ID SOCIAL COST; PERFORMANCE; SUSTAINABILITY; MANAGEMENT; CORPORATE; EMPLOYEES; DIMENSIONS; COMPANIES; SUPPORT; IMPACT AB This article aims to analyse how environmental accounting instruments can be linked to corporate reward systems for motivating a company's employees to embrace more environmentally friendly behaviours. To this aim, the paper focuses on a specific instrument the Environmental Profit and Loss Account that grounds on the idea of complementing the traditional profit and loss account by including figurative revenues and costs associated to the environmental impact of business activities. Based on the empirical evidence, derived from a multinational Do-It-Yourself retailing chain, the paper discusses how key design choices in the process of development of the Environmental Profit and Loss Account should be carried out to use this instrument as an input for the reward system and what problems and criticisms this choice implies. In so doing, the paper contributes to fill a gap in the state of the art literature that so far has given limited attention to the problem of linking environmental accounting instruments to corporate reward systems. Based on the case analysis, the paper concludes with some guidelines concerning the key aspects that should be taken into consideration for this prospect use: alignment with the company's strategy, definition of quantitative and common objectives, integration with other human resource practices, and possible connection to monetary rewards. Then, for each aspect, the paper discusses the rise of potential trade-offs between completeness and controllability of the included items, environmental and economic performance, cost and precision of the system itself. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Arena, Marika; Conte, Antonio; Melacini, Marco] Politecn Milan, Dept Management Econ & Ind Engn, I-20133 Milan, Italy. RP Conte, A (reprint author), Politecn Milan, Dept Management Econ & Ind Engn, Piazza Leonardo Da Vinci 32, I-20133 Milan, Italy. EM marika.arena@polimi.it; antonio1.conte@polimi.it; marco.melacini@polimi.it CR Ackerman F, 2012, ECONOMICS-KIEL, V6, DOI 10.5018/economics-ejournal.ja.2012-10 Agudelo J, 2001, EC VALUATION WATER P Aguinis H, 2013, BUS HORIZONS, V56, P241, DOI 10.1016/j.bushor.2012.11.007 Anthoff D, 2013, CLIMATIC CHANGE, V117, P515, DOI 10.1007/s10584-013-0706-7 Arena M, 2013, J CLEAN PROD, V41, P105, DOI 10.1016/j.jclepro.2012.09.031 Bebbington J, 2014, SUSTAINABILITY ACCOU Bebbington J., 2001, ACCOUNTING ENV Bebbington J, 2007, ECOL ECON, V61, P224, DOI 10.1016/j.ecolecon.2006.10.021 Bennett M, 2011, REVIEW OF MANAGEMENT ACCOUNTING RESEARCH, P53 Bonner S. E., 2000, J MANAGEMENT ACCOUNT, V12, P19, DOI DOI 10.2308/JMAR.2000.12.1.19 Bourne M, 2000, INT J OPER PROD MAN, V20, P754, DOI 10.1108/01443570010330739 Briscoe J., 1996, WORLD C INT COMM IRR Jabbour CJC, 2008, J CLEAN PROD, V16, P51, DOI 10.1016/j.jclepro.2006.07.025 CLARK PB, 1961, ADMIN SCI QUART, V6, P129, DOI 10.2307/2390752 Clarkson PM, 2011, ABACUS, V47, P27, DOI 10.1111/j.1467-6281.2011.00330.x Cordeiro JJ, 2008, BUSINESS STRATEGY EN, V17, P304, DOI DOI 10.1002/BSE.621 Edwards D., 2014, LINK CO ENV FINANCIA Epstein MJ, 2014, MAKING SUSTAINABILITY WORK: BEST PRACTICES IN MANAGING AND MEASURING CORPORATE SOCIAL, ENVIRONMENTAL, AND ECONOMIC IMPACTS, 2ND EDITION, P1 Fernandez E, 2003, INT J HUM RESOUR MAN, V14, P634, DOI 10.1080/0958519032000057628 Garbers Y, 2014, J OCCUP ORGAN PSYCH, V87, P102, DOI 10.1111/joop.12039 Govindarajulu N, 2004, IND MANAGE DATA SYST, V104, P364, DOI 10.1108/02635570410530775 Greenstone M., 2011, W16913 NAT BUR EC RE, Vw16913 Greenstone M, 2013, REV ENV ECON POLICY, V7, P23, DOI 10.1093/reep/res015 Griffin R. W., 2011, ORG BEHAV Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Hajmohammad S, 2013, J CLEAN PROD, V39, P312, DOI 10.1016/j.jclepro.2012.07.028 HAZILLA M, 1990, J POLIT ECON, V98, P853, DOI 10.1086/261709 Hope C, 2008, ENERG ECON, V30, P1011, DOI 10.1016/j.eneco.2006.11.006 Howes R., 2013, CLEAN COMPETITIVE MO Hsieh Y.H., 2011, ACAD STRATEGIC MANAG, V10, P11 HUIZING A, 1992, ACCOUNT ORG SOC, V17, P449, DOI 10.1016/0361-3682(92)90040-Y Hussey D.M., 2001, ENV QUAL MANAG, V11, P1, DOI DOI 10.1002/TQEM.1200 IPCC, 2006, GUIDELINES NATL GREE ISPRA, 2012, FONT RINN IMP SOGG E Johnson Laurie T., 2012, ENVTL STUD SCI, V2, P205, DOI DOI 10.1007/S13412-012-0087-7 Jones MJ, 2010, ACCOUNT FORUM, V34, P123, DOI 10.1016/j.accfor.2010.03.001 Kontovas C. A., 2010, P 3 INT S SHIP OP MA, P7 Kumar P., 2010, EC ECOSYSTEMS BIODIV LAABS JJ, 1992, PERS J, V71, P60 Lamberton G, 2005, ACCOUNT FORUM, V29, P7, DOI 10.1016/j.accfor.2004.11.001 Lozano R, 2011, J CLEAN PROD, V19, P99, DOI 10.1016/j.jclepro.2010.01.004 Macve R., 1997, IND GREEN GAME IMPLI, P185 Mandip G., 2012, RES J RECENT SCI, V1, P244 Massarutto A., 2011, MULINO, V60, P226 Maunders K.T., 1991, ACCOUNTING AUDITING, V23, P9 Melnyk SA, 2003, J OPER MANAG, V21, P329, DOI 10.1016/S0272-6963(02)00109-2 Morhardt J.E., 2002, CORPORATE SOCIAL RES, V9, P215, DOI DOI 10.1002/CSR.26 Muller NZ, 2011, AM ECON REV, V101, P1649, DOI 10.1257/aer.101.5.1649 Neely A, 1995, INT J OPER PROD MAN, V15, P80, DOI 10.1108/01443579510083622 Nordhaus W. D., 2011, W17540 NAT BUR EC RE Paille P, 2014, J BUS ETHICS, V121, P451, DOI 10.1007/s10551-013-1732-0 Patton KR, 1998, PUBLIC PERS MANAGE, V27, P117, DOI 10.1177/009102609802700111 Pearce D, 1999, EC ENV ESSAYS ECOLOG PUMA, 2011, PUMAS ENV PROF LOSS Ramus CA, 2002, J WORLD BUS, V37, P151, DOI 10.1016/S1090-9516(02)00074-3 Ramus CA, 2001, CALIF MANAGE REV, V43, P85, DOI 10.2307/41166090 Rapoport R. N., 1970, HUM RELAT, V23, P499, DOI DOI 10.1177/001872677002300601 Reason P., 2001, HDB ACTION RES PARTI Renwick DWS, 2013, INT J MANAG REV, V15, P1, DOI 10.1111/j.1468-2370.2011.00328.x Sabeti H, 2011, HARVARD BUS REV, V89, P98 Saravanamuthu K., 2004, CRIT PERSPECT, V15, P295 Simms J., 2007, PEOPLE MANAGEMENT, P36 Simpson D., 2008, BUS STRATEG ENVIRON, V19, P104 SUSMAN GI, 1978, ADMIN SCI QUART, V23, P582, DOI 10.2307/2392581 Swedish Royal Institute for Technology, 2007, PAP ENV Tariq S., 2014, QUAL QUANT, P1 Tol RSJ, 2009, J ECON PERSPECT, V23, P29, DOI 10.1257/jep.23.2.29 Tung A, 2011, INT J OPER PROD MAN, V31, P1287, DOI 10.1108/01443571111187457 Unerman J., 2010, SUSTAINABILITY ACCOU van Dijk F, 2001, EUR ECON REV, V45, P187, DOI 10.1016/S0014-2921(00)00056-8 Weitzman ML, 2013, J ECON LIT, V51, P873, DOI 10.1257/jel.51.3.873 Wells R. P., 1994, ENV TQM, P8 Winston A., 2009, GREEN GOLD SMART COM Yin R., 1994, CASE STUDY RES DESIG NR 74 TC 2 Z9 2 U1 3 U2 38 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD DEC 1 PY 2015 VL 108 BP 625 EP 636 DI 10.1016/j.jclepro.2015.07.068 PN A PG 12 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DA4IB UT WOS:000367762500057 DA 2019-04-09 ER PT J AU Manzhynski, S Figge, F Hassel, L AF Manzhynski, Siarhei Figge, Frank Hassel, Lars TI Sustainable Value creation of nine countries of the Baltic region. Value, changes and drivers SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Sustainable Value; Baltic region; Sustainability; Sustainability assessment ID ENERGY EFFICIENCY; NEURAL-NETWORK; CONSUMPTION; TRADE; COST; ENVIRONMENT; IMPACT AB The Baltic region comprises countries of great diversity. They have in common that they all face the challenge to combine a sound economic development with the stewardship for their environmental, social and economic resources. Using the Sustainable Value approach we first analyze their overall sustainability performance. We then further develop the value drivers of Sustainable Value to enhance the explanatory power of our analysis. We find that there are significant differences between countries. We show both conceptually and using our examples that there is no unambiguous link between economic growth, environmental and social stewardship and the efficient use of resources. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Manzhynski, Siarhei] Belarussian State Technol Univ, Dept Econ & Plant Management, Minsk 220006, BELARUS. [Figge, Frank] KEDGE Business Sch, F-13288 Marseille 9, France. [Hassel, Lars] Umea Univ, Umea Sch Business & Econ, S-90187 Umea, Sweden. RP Manzhynski, S (reprint author), Belarussian State Technol Univ, Dept Econ & Plant Management, Sverdlov St 13a, Minsk 220006, BELARUS. EM siarhei.manzhynski@belstu.by; frank.figge@kedgebs.com; lars.hassel@usbe.umu.se OI Figge, Frank/0000-0002-8874-1385; Hassel, Lars/0000-0002-3196-3489 CR *ADVANCE PROJ, 2006, SUST VAL EUR IND VAL Alcott B, 2005, ECOL ECON, V54, P9, DOI 10.1016/j.ecolecon.2005.03.020 Ang F, 2011, ECOL ECON, V71, P99, DOI 10.1016/j.ecolecon.2011.08.008 Angrick M., 2013, FACTOR 10 RESOURCE D Angrick M., 2014, LIMITS RESOURCE USE, P3 Baumgartner R.J., 2008, INT J SUSTAIN DEV PL, V3, P117, DOI DOI 10.2495/SDP-V3-N2-117-131 BECKERMAN W, 1992, WORLD DEV, V20, P481, DOI 10.1016/0305-750X(92)90038-W Belstat, 2014, ANN MACR DAT Berkhout PHG, 2000, ENERG POLICY, V28, P425, DOI 10.1016/S0301-4215(00)00022-7 BHAGWATI J, 1993, SCI AM, V269, P42, DOI 10.1038/scientificamerican1193-42 Binswanger M, 2001, ECOL ECON, V36, P119, DOI 10.1016/S0921-8009(00)00214-7 Brizga J, 2014, J CLEAN PROD, V63, P45, DOI 10.1016/j.jclepro.2013.06.011 Chang MC, 2015, J CLEAN PROD, V99, P140, DOI 10.1016/j.jclepro.2015.03.002 Cole MA, 2004, ECOL ECON, V48, P71, DOI 10.1016/j.ecolecon.2003.09.007 Daly Herman, 1989, COMMON GOOD REDIRECT Diao XD, 2009, J CLEAN PROD, V17, P541, DOI 10.1016/j.jclepro.2008.09.007 Dietz S, 2007, ECOL ECON, V61, P617, DOI 10.1016/j.ecolecon.2006.09.007 Elkington J, 1997, CANNIBALS FORKS TRIP Eurostat, 2014, ANN MACR DAT Figge F, 2005, J IND ECOL, V9, P47, DOI 10.1162/108819805775247936 Figge F, 2004, ECOL ECON, V48, P173, DOI 10.1016/j.ecolecon.2003.08.005 Figge F., 2001, Z ANGEW UMWELTFORSCH, V14, P184 Figge F., 2004, J ENVIRON PLANN MAN, V47, P921 Figge F., 2006, PRACTITIONER HDB APP Figge F, 2014, ECOL ECON, V105, P274, DOI 10.1016/j.ecolecon.2014.06.010 Figge F, 2014, J CLEAN PROD, V69, P216, DOI 10.1016/j.jclepro.2014.01.031 Figge F, 2009, ECOL ECON, V69, P244, DOI 10.1016/j.ecolecon.2009.08.003 GOODLAND RJA, 1993, ENVIRON CONSERV, V20, P297, DOI 10.1017/S0376892900023481 Green David I, 1894, Q J ECON, V8, P218 Greening LA, 2000, ENERG POLICY, V28, P389 Hahn T., 2013, SUSTAINABLE VALUE AU Hahn T, 2010, J ENVIRON MANAGE, V91, P1997, DOI 10.1016/j.jenvman.2010.05.004 Hahn T, 2007, INT J ENVIRON TECHNO, V7, P496, DOI 10.1504/IJETM.2007.015627 Heijungs R, 1992, ENV LIFE CYCLE ASSES Herring H., 2002, ENVIRON IMPACT ASSES, V22, P525 Hsu A., 2014, 2014 ENV PERFORMANCE Hueting R., 1980, NEW SCARCITY EC GROW Jevons W. S., 1866, COAL QUESTION Kuosmanen T, 2009, ECOL ECON, V69, P235, DOI 10.1016/j.ecolecon.2009.08.008 Kuosmanen T, 2009, AGR FOOD SCI, V18, P302 Liesen A., 2009, SUSTAINABLE VALUE CR Mayumi K, 1998, ECOL ECON, V27, P115, DOI 10.1016/S0921-8009(98)00003-2 Miller G., 2012, LIVING ENV PRINCIPLE MODIGLIANI F, 1958, AM ECON REV, V48, P261 Muttil N, 2006, INT J ENVIRON POLLUT, V28, P223, DOI 10.1504/IJEP.2006.011208 Neumayer E, 1999, WEAK VERSUS STRONG S Panayotou T., 1993, EMPIRICAL TESTS POLI Pearce W., 1993, ECOL ECON, V8, P103, DOI DOI 10.1016/0921-8009(93)90039-9 Ricardo D., 1817, PRINCIPLES POLITICAL Sagar AD, 1998, ECOL ECON, V25, P249, DOI 10.1016/S0921-8009(97)00168-7 Sanchez-Choliz J, 2004, ENERG POLICY, V32, P1999, DOI 10.1016/S0301-4215(03)00199-X Schaltegger S., 2000, CONT ENV ACCOUNTING Schmidt-Bleek F., 1998, FACTOR 10 MANIFESTO Smith A., 1776, INQUIRY NATURE CAUSE Steger U, 2007, CORP GOV-INT J BUS S, V7, P162, DOI 10.1108/14720700710739804 The World Bank, 2014, GDP PER CAP The World Bank, 2014, CO2 EM Torrens R., 1857, PRINCIPLES PRACTICAL von Weizsacker E. U., 2009, FACTOR 5 TRANSFORMIN Wackernagel M., 1996, OUR ECOLOGICAL FOOTP World Commission on Environment and Development, 1987, OUR COMMON FUTURE Xie JX, 2006, INT J ENVIRON POLLUT, V28, P364, DOI 10.1504/IJEP.2006.011217 Zhang C, 2013, J CLEAN PROD, V54, P270, DOI 10.1016/j.jclepro.2013.04.022 Zhao MY, 2006, INT J ENVIRON POLLUT, V28, P448, DOI 10.1504/IJEP.2006.011222 NR 64 TC 3 Z9 3 U1 2 U2 18 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD DEC 1 PY 2015 VL 108 BP 637 EP 646 DI 10.1016/j.jclepro.2015.07.027 PN A PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DA4IB UT WOS:000367762500058 DA 2019-04-09 ER PT J AU Lordan, R Spada, M Burgherr, P AF Lordan, Rebecca Spada, Matteo Burgherr, Peter TI Import-adjusted fatality rates for individual Organization for Economic Cooperation and Development (OECD) countries caused by accidents in the oil energy chain SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Accident; OECD; Risk; Sustainability; Multi-regional input-output; Oil ID CO2 EMISSIONS; CONSUMPTION; RISKS; TRADE AB Oil and its derivatives are crucial components of economic growth and prosperity globally. The economic and social gains from producing, trading, and consuming oil are readily estimated and observed. However, during each of the phases of oil production and trade, beginning with exploration and extraction, physical damages, injuries and fatalities, and economic losses are frequently incurred from accidents such as pipeline explosions. Specifically, Organization for Economic Cooperation and Development (OECD) countries consume the majority of the oil produced annually yet most accidents occur in non-OECD countries. Drawing from the input output analysis literature, this paper uses a one-dimensional accounting method based on trade data to determine the crude oil consumption fatality rates of the OECD countries annually between 1978 and 2008. This analysis results in meaningful changes to production based fatality calculations. In particular, OECD countries import the majority of their annual fatality rates from non-OECD countries. Based on 5 patterns that emerge, the authors postulate that historical trade relationships, differential policies and regulations, as well as levels of technology adoption, may influence these outcomes. This fundamental analysis applies the now-popular consumption-based accounting method taken from multi-regional input output and life-cycle assessment to a risk assessment setting. The authors introduce the method in this setting such that, as in the case of embodied emissions, it can act as a basis for further econometric analyses, develop more awareness and a greater sense of shared, international responsibility, as well as instruct policy changes for best practices in the field of energy. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Lordan, Rebecca] Univ Chicago, Energy Policy Inst Chicago, Chicago, IL 60637 USA. [Lordan, Rebecca; Spada, Matteo; Burgherr, Peter] Paul Scherrer Inst, Lab Energy Syst Anal, CH-5232 Villigen, Switzerland. RP Lordan, R (reprint author), Paul Scherrer Inst, CH-5232 Villigen, Switzerland. EM rlordan@uchicago.edu RI Burgherr, Peter/E-7361-2013; Spada, Matteo/C-7866-2013 OI Burgherr, Peter/0000-0001-6150-5035; Spada, Matteo/0000-0001-9265-9491 FU Paul Scherrer Institute; Energy Policy Institute at Chicago FX The authors would like to thank Stefan Hirschberg, Robert Rosner, Andreas Steinmayr, Arvid Viaene, Dan Black, Michele Davies, Gregory Perret, Brian Cox, and the anonymous reviewers for their helpful feedback. The authors would also like to thank The Paul Scherrer Institute and The Energy Policy Institute at Chicago for facilitating and supporting this research collaboration. CR Alba E.M., 2010, ENV GOVERNANCE DEV C, P1 Brizga J, 2014, J CLEAN PROD, V63, P45, DOI 10.1016/j.jclepro.2013.06.011 Burgherr P., 2014, ENERG POLICY, P1 Burgherr P., 2004, SEVERE ACCIDENTS ENE Burgherr P, 2008, ENERGY, V33, P538, DOI 10.1016/j.energy.2007.10.015 Burgherr P, 2012, RELIAB ENG SYST SAFE, V105, P97, DOI 10.1016/j.ress.2012.03.020 Caldeira K, 2011, P NATL ACAD SCI USA, V108, P8533, DOI 10.1073/pnas.1106517108 Davis SJ, 2011, P NATL ACAD SCI USA, V108, P18554, DOI 10.1073/pnas.1107409108 Davis SJ, 2010, P NATL ACAD SCI USA, V107, P5687, DOI 10.1073/pnas.0906974107 Eckle P, 2013, RISK ANAL, V33, P146, DOI 10.1111/j.1539-6924.2012.01848.x Energy Information Agency, 2014, MEX OIL, V2014, P1 Fearon JD, 2005, J CONFLICT RESOLUT, V49, P483, DOI 10.1177/0022002705277544 Frynas J.G., 2012, EVID ECOL SOC, V17 Giroux J., 2013, EIAD, V7 Guan D., 2014, PNAS, V111 Hertwich EG, 2009, ENVIRON SCI TECHNOL, V43, P6414, DOI 10.1021/es803496a Hirschberg S., 1998, PROJECT GABE COMPREH International Energy Agency, 2014, OIL INF STAT Ioftsdottir A., 2014, ENERGY STAT ICELAND Johnson Jay, 2007, CATO J, V24, P397 Kendall MG, 1990, RANK CORRELATION MET, P260 LEONTIEF W, 1970, REV ECON STAT, V52, P262, DOI 10.2307/1926294 Lopez L.A., 2014, PNAS, V111 Mann HB, 1945, ECONOMETRICA, V13, P245, DOI 10.2307/1907187 Mozner ZV, 2013, J CLEAN PROD, V42, P83, DOI 10.1016/j.jclepro.2012.10.014 O'Rourke D, 2003, ANNU REV ENV RESOUR, V28, P587, DOI 10.1146/annurev.energy.28.050302.105617 Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Princen T, 1999, ECOL ECON, V31, P347, DOI 10.1016/S0921-8009(99)00039-7 Razavi H., 1996, FINANCING OIL GAS PR Robinson JA, 2006, J DEV ECON, V79, P447, DOI 10.1016/j.jdeveco.2006.01.008 United States Environmental Protection Agency, 2014, OIL POLL ACT OV Wiedmann T, 2007, ECOL ECON, V61, P15, DOI 10.1016/j.ecolecon.2006.12.003 Yang Z., 2014, J CLEAN PROD NR 33 TC 1 Z9 1 U1 1 U2 10 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD DEC 1 PY 2015 VL 108 BP 1203 EP 1212 DI 10.1016/j.jclepro.2015.08.097 PN A PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DA4IB UT WOS:000367762500111 DA 2019-04-09 ER PT J AU Matsubae, K Webeck, E Nansai, K Nakajima, K Tanaka, M Nagasaka, T AF Matsubae, Kazuyo Webeck, Elizabeth Nansai, Keisuke Nakajima, Kenichi Tanaka, Mikiya Nagasaka, Tetsuya TI Hidden phosphorus flows related with non-agriculture industrial activities: A focus on steelmaking and metal surface treatment SO RESOURCES CONSERVATION AND RECYCLING LA English DT Article DE Hidden phosphorus flow; Steelmaking slag; Iron ore; Metal surface treatment; Plating bath ID NICKEL-PLATING BATHS; DEPHOSPHORIZATION SLAG; SOLVENT-EXTRACTION; RECOVERY; REMOVAL; SEPARATION; PHOSPHATE; SUSTAINABILITY; CONSUMPTION; CRISIS AB Due to the impact of increasing global demand for high-grade steel for a variety of applications at a time when high grade iron ore reserves are becoming depleted, the removal of impurities, and especially phosphorus, has become essential. Demand in the rapidly growing car industry, in particular, is increasing pressure on steelmakers to provide high quality steel. The dephosphorization step presents new opportunities to steelmakers: besides producing high-quality steels not prone to cracking or corrosion, and improving production efficiency, steelmakers are presented with the opportunity to recover phosphorus and market it as a value-added product. Another industry with potential to recover P as a secondary product is the surface treatment industry. Surface treatment and the galvanization of metal products requires phosphoric acid and generates waste containing phosphorus, which is typically not well recovered or recycled. In this study, we focus on the potential of steelmaking slag and waste sludge from nickel plating and metal surface treatment processes as non-traditional phosphorus resources. An MFA on the hidden phosphorus flow behind global iron ore trade showed that, that the hidden flow of phosphorus from the three major iron ore export countries to China alone was 331 kt in 2013, which is equivalent to 1.7% of the global consumption of P in fertilizers consumed that year. In 2013, 3.6 kilo ton of phosphorus was wasted in acid waste from the metal surface treatment industry. (C) 2015 Elsevier B.V. All rights reserved. C1 [Matsubae, Kazuyo; Webeck, Elizabeth; Nagasaka, Tetsuya] Tohoku Univ, Grad Sch Engn, Sendai, Miyagi 9808579, Japan. [Nansai, Keisuke; Nakajima, Kenichi] Natl Inst Environm Studies, Ctr Mat Cycles & Waste Management, Ibaraki 3058506, Japan. [Tanaka, Mikiya] Natl Inst Adv Ind Sci & Technol, Inst Environm Management Technol, Tsukuba 3058561, Japan. RP Matsubae, K (reprint author), Tohoku Univ, Grad Sch Engn, Sendai, Miyagi 9808579, Japan. EM matsubae@m.tohoku.ac.jp; e-webeck@material.tohoku.ac.jp; nansai.keisuke@nies.go.jp; nakajima.kenichi@nies.go.jp; micy-tanaka@aist.go.jp; t-nagasaka@m.tohoku.ac.jp RI Tanaka, Mikiya/L-4341-2018 OI Tanaka, Mikiya/0000-0002-1726-6281; NAKAJIMA, Kenichi/0000-0002-7241-7695 FU Ministry of the Environment, Japan [K2404]; KAKENHI [24651035, 24246150, 26281059]; JST-RISTEX FX This present work was supported by a Grant in-Aid for the Promotion of the Recycling-Oriented Society from the Ministry of the Environment, Japan (K2404), KAKENHI (24651035, 24246150, 26281059) and JST-RISTEX. CR Abelson PH, 1999, SCIENCE, V283, P2015, DOI 10.1126/science.283.5410.2015 AYUZAWA N, 1991, NIPPON KAGAKU KAISHI, P530, DOI 10.1246/nikkashi.1991.530 Diao J, 2012, ISIJ INT, V52, P955, DOI 10.2355/isijinternational.52.955 Elser J, 2011, NATURE, V478, P29, DOI 10.1038/478029a Fisher-White MJ, 2012, ISIJ INT, V52, P797, DOI 10.2355/isijinternational.52.797 Gantner O.S.W., 2014, SUSTAINABLE PHOSPHOR HASSALL GJ, 1991, IRONMAK STEELMAK, V18, P359 Jeong YS, 2009, RESOUR CONSERV RECY, V53, P479, DOI 10.1016/j.resconrec.2009.04.002 Kamimoto Y, 2013, DESALIN WATER TREAT, V51, P4050, DOI 10.1080/19443994.2013.781100 KARRS S, 1986, PLAT SURF FINISH, V73, P60 Li T, 2014, SEP PURIF TECHNOL, V132, P388, DOI 10.1016/j.seppur.2014.05.040 Lin L, 2014, J IRON STEEL RES INT, V21, P496, DOI 10.1016/S1006-706X(14)60077-7 Liu P, 2014, GREEN CHEM, V16, P1217, DOI 10.1039/c3gc41779d Liu Y, 2008, J IND ECOL, V12, P229, DOI 10.1111/j.1530-9290.2008.00025.x Matsubae K., 2015, SCI TOTAL ENV Matsubae K, 2011, CHEMOSPHERE, V84, P767, DOI 10.1016/j.chemosphere.2011.04.077 Matsubae-Yokoyama K, 2010, ISIJ INT, V50, P65, DOI 10.2355/isijinternational.50.65 Matsubae-Yokoyama K, 2009, J IND ECOL, V13, P687, DOI 10.1111/j.1530-9290.2009.00162.x Matsui A, 2011, TETSU TO HAGANE, V97, P416, DOI 10.2355/tetsutohagane.97.416 Neset TSS, 2008, SCI TOTAL ENVIRON, V396, P111, DOI 10.1016/j.scitotenv.2008.02.010 Okada M.K.S., 2010, RESOUR PROCESS, V57, P4 Okamoto N, 2012, ELECTROCHIM ACTA, V82, P363, DOI 10.1016/j.electacta.2012.04.151 Qin JJ, 2006, DESALINATION, V191, P359, DOI 10.1016/j.desal.2005.05.027 Qin JJ, 2004, DESALINATION, V161, P155, DOI 10.1016/S0011-9164(04)90051-3 Robotin B, 2012, STUD U BABES-BOL CHE, V57, P81 Scholz R.W., 2014, SUSTAINABLE PHOSPHOR Shiroyama H., 2015, GLOB ENV RES, V19, P9 Socolow RH, 1999, P NATL ACAD SCI USA, V96, P6001, DOI 10.1073/pnas.96.11.6001 Tanaka A, 2008, SEP PURIF TECHNOL, V62, P97, DOI 10.1016/j.seppur.2007.12.022 Tanaka M, 2010, KAGAKU KOGAKU RONBUN, V36, P201, DOI 10.1252/kakoronbunshu.36.201 Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014 Ulrich AE, 2013, SUSTAINABILITY-BASEL, V5, P4523, DOI 10.3390/su5114523 Vaccari DA, 2009, SCI AM, V300, P54, DOI 10.1038/scientificamerican0609-54 Webeck E., 2014, SOCIOTECHNICA, V11, P119 Webeck E., 2015, GLOB ENV RES, V19, P9 Webeck E, 2015, ENVIRON ECON POLICY, V17, P455, DOI 10.1007/s10018-014-0088-8 Wyant K. A, 2013, PHOSPHORUS FOOD OUR Yamasue E, 2013, J IND ECOL, V17, P722, DOI 10.1111/jiec.12047 Yang GM, 2012, CAN METALL QUART, V51, P150, DOI 10.1179/1879139511Y.0000000031 Yuan ZW, 2011, ECOL APPL, V21, P2822, DOI 10.1890/10-1409.1 NR 40 TC 3 Z9 3 U1 3 U2 19 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-3449 EI 1879-0658 J9 RESOUR CONSERV RECY JI Resour. Conserv. Recycl. PD DEC PY 2015 VL 105 BP 360 EP 367 DI 10.1016/j.resconrec.2015.10.002 PN B PG 8 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA DA4KX UT WOS:000367769900012 OA Other Gold DA 2019-04-09 ER PT J AU Kokubu, K Kitada, H AF Kokubu, Katsuhiko Kitada, Hirotsugu TI Material flow cost accounting and existing management perspectives SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Material flow cost accounting; Management perspectives; Controllability; Material loss ID CONTROL-SYSTEMS; SUSTAINABILITY AB Material flow cost accounting (MFCA) has been developed worldwide as a major tool in environmental management accounting. The International Standard on MFCA was published as ISO 14051 in 2011. In Japan, the Ministry of Economy, Trade and Industry (METI) has been strongly supporting the promotion of MFCA, and the number of companies introducing this tool has been steadily increasing. However, in order to apply MFCA in companies continuously, it is necessary to overcome conflicts between MFCA and existing management perspectives. This paper argues that such conflicts are likely to be caused by the essential features of MFCA, and indicates some theoretical solutions based on organizational design. Then, by looking at three example cases of companies that have succeeded in the continuous use of MFCA, specific countermeasures for dealing with conflicts are investigated. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Kokubu, Katsuhiko] Kobe Univ, Grad Sch Business Adm, Kobe, Hyogo 6578501, Japan. [Kitada, Hirotsugu] Hosei Univ, Fac Business Adm, Chiyoda Ku, Tokyo 1028160, Japan. RP Kitada, H (reprint author), Hosei Univ, Fac Business Adm, Chiyoda Ku, 2-17-1 Fujimi, Tokyo 1028160, Japan. EM kokubu@kobe-u.ac.jp; kitada@hosei.ac.jp FU Environmental Research and Technology Development Fund by the Ministry of the Environment, Japan [1E-1106]; Japan Society for the Promotion of Science (JSPS) [25285138, 26780256] FX This research is supported by the Environmental Research and Technology Development Fund (1E-1106) by the Ministry of the Environment, Japan and Grand-in-Aid for Scientific Research (B) Grant Number 25285138 and Grant-in-Aid for Young Scientists (B) Grant Number 26780256 by Japan Society for the Promotion of Science (JSPS). CR Adams CA, 2008, ACCOUNT FORUM, V32, P288, DOI 10.1016/j.accfor.2008.05.002 Anjo Y, 2006, KONKYO KANRI, V42, P46 [Anonymous], 2011, 14051 ISO Balboni F, 2009, WORKING PAPER Bruyn S.T., 1991, FUTURE AM EC SOCIAL Burrit R. L., 2004, BUSINESS STRATEGY EN, V13, P13, DOI DOI 10.1002/BSE.379 Burritt R.L, ENV MANAGEMENT ACCOU, P395 Canon, 2008, SUSTAINABILITY REPOR Chemical Sekisui, 2009, CSR REP 2009 Chemical Sekisui, 2011, CSR REP 2011 Choudhury N, 1986, ACCOUNTING BUSINESS, V16, P189 CONNER KR, 1991, J MANAGE, V17, P121, DOI 10.1177/014920639101700109 Dent J. F., 1987, ACCOUNTING MANAGEMEN, P119 Epstein M., 1996, MEASURING CORPORATE FEM/FEA, 2003, GUID CORP ENV COST M Figge F, 2002, BUS STRATEG ENVIRON, V11, P269, DOI [10.1002/bse.339, DOI 10.1002/BSE.339] Frow N, 2005, ACCOUNT RES, V16, P269, DOI [10.1016/j.mar.2005.06.004, DOI 10.1016/J.MAR.2005.06.004] Giraud F, 2008, MANAGE ACCOUNT RES, V19, P32, DOI 10.1016/j.mar.2007.09.002 Gond JP, 2012, MANAGE ACCOUNT RES, V23, P205, DOI 10.1016/j.mar.2012.06.003 Henri JF, 2010, ACCOUNT ORG SOC, V35, P63, DOI 10.1016/j.aos.2009.02.001 IFAC, 2005, INT GUID DOC ENV MAN Jasch C, 2009, ECO-EFFIC IND SCI, V25, P1, DOI 10.1007/978-1-4020-9028-8 Jensen MC, 2002, BUS ETHICS Q, V12, P235, DOI 10.2307/3857812 Kaplan R. S., 1996, STRATEGY FOCUSED ORG Kasul RA, 1997, IND MANAGE DATA SYST, V97, P274, DOI 10.1108/02635579710191707 Kawano Y, 2006, KANKYO KANRI, V42, P58 Kokubu K., 2009, ISO MANAGEMENT SYSTE, V9, P15 Kokubu K, 2004, ECOEFFICIENCY SUSTAI, P100 Kokubu K, 2008, PRACTICE MAT FLOW CO LAUGHLIN RC, 1991, ORGAN STUD, V12, P209, DOI 10.1177/017084069101200203 Loew T, 2003, ENV MANAGEMENT ACCOU, P41 Merchant K.A., 1989, REWARDING RESULTS MO Merchant K. A, 1987, ACCOUNTING MANAGEMEN, P316 METI, 2002, ENV MAN ACC WORKB METI (Japanese Ministry of Economy. Trade and Industry), 2007, GUID MAT FLOW COST A METI (Ministry of Economy Trade and Industry Japan), 2011, MAT FLOW COST ACC MF Moller A, 2005, J IND ECOL, V9, P73, DOI 10.1162/108819805775247927 Monden Y., 1994, TOYOTA PRODUCTION SY Nakajima M., 2008, ENV MANAGEMENT ACCOU, P395 Nakajima M., 2008, MAT FLOW COST ACCOUN Numata M, 2006, KANKYO KANRI, V42, P66 Numata M, 2007, QUAL MANAG, V58, P68 Okubo N., 2006, SUSTAIN MANAG, V5, P67 PINTO MB, 1993, MANAGE SCI, V39, P1281, DOI 10.1287/mnsc.39.10.1281 Pondeville S, 2013, MANAGE ACCOUNT RES, V24, P317, DOI 10.1016/j.mar.2013.06.007 Rooney C., 1993, POLLUTION PREVEN SUM, P261 Schaltegger S., 2012, WORKING PAPER SERIES Schaltegger S., 2008, ENV MANAGEMENT ACCOU, P3 Simons R, 2010, WORKING PAPER Simons R., 2005, LEVERS ORG DESIGN Simons R, 2013, WORKING PAPER Solomons D., 1965, DIVISIONAL PERFORMAN Strobel M., 2001, FLOW COST ACCOUNTING Sundaram AK, 2004, ORGAN SCI, V15, P350, DOI 10.1287/orsc.1040.0068 Tanabe Seiyaku, 2007, 2007 CSR UNDSD, 2002, ENV MAN ACC POL LINK United Nations Division for Sustainable Development (UNDSD), 2001, ENV MAN ACC POL LINK Viere T., 2007, ISSUES SOC ENV ACCOU, V1, P296 WRAP, 2009, OWN WAST Wright R.G, 1991, ARIZ ST LJ, V23, P777 NR 60 TC 17 Z9 17 U1 5 U2 22 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD DEC 1 PY 2015 VL 108 SI SI BP 1279 EP 1288 DI 10.1016/j.jclepro.2014.08.037 PN B PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA DA4ID UT WOS:000367762700004 DA 2019-04-09 ER PT J AU Gawel, E Korte, K Tews, K AF Gawel, Erik Korte, Klaas Tews, Kerstin TI Distributional Challenges of Sustainability Policies-The Case of the German Energy Transition SO SUSTAINABILITY LA English DT Article DE sustainability trade-offs; renewable energies; social compatibility; distributional effects; environmental policy; equity AB Sustainability policies based on the economic rationale of providing incentives to get prices right inevitably place a significant burden on society and often raise distributional concerns. The social acceptability of Germany's energy transition towards more sustainable generation and usage of energy is frequently the subject of such critical appraisals. The discourse centres upon the burden imposed on electricity users as a result of the promotion of renewable energy sources in the electricity sector in accordance with the German Renewable Energy Sources Act (EEG). A regressive EEG surcharge is suspected of driving up energy prices unreasonably and of being socially unjust. It is also argued that high-income utility owners profit from the EEG system at the expense of low-income electricity consumers (redistribution from bottom to top). The aim of this paper is to examine the validity of these two hypotheses and to show that both exhibit substantial theoretical and empirical weaknesses, with climate and environmental policy being played off against social policy in a questionable manner. At the same time, the article points out remaining conflicts between energy policy and social policy and makes corresponding policy recommendations for their resolution, thus contributing to reconciling distributional concerns arising in the context of incentive-oriented sustainability governance. C1 [Gawel, Erik; Korte, Klaas] UFZ Helmholtz Ctr Environm Res, Dept Econ, D-04318 Leipzig, Germany. [Gawel, Erik] Univ Leipzig, Inst Infrastruct & Resources Management, D-04109 Leipzig, Germany. [Tews, Kerstin] Free Univ Berlin, Environm Policy Res Ctr FFU, D-14195 Berlin, Germany. RP Gawel, E (reprint author), UFZ Helmholtz Ctr Environm Res, Dept Econ, Permoserstr 15, D-04318 Leipzig, Germany. EM erik.gawel@ufz.de; klaas.korte@ufz.de; kerstin.tews@fu-berlin.de FU Helmholtz Alliance "ENERGY-TRANS" FX The authors appreciate comments on drafts of this article by 2 anonymous peer reviewers. Moreover, the authors would like to thank the Helmholtz Alliance "ENERGY-TRANS" for funding this research. CR Agentur fur Erneuerbare Energien, ENTW MON EN EIN DREI Bardt H., 2013, ERNEUERBARE ENERGIEN Bardt Hubertus, 2013, Z ENERGIEWIRTSCHAFT, V37, P211 BEE, 2013, HINT EEG UML 2014 BMWi, 2011, OP LETT SCI ADV BOAR BMWi, ZAHL FAKT EN NAT INT BMWi, EEG ZAHL VERG DIFF E BMWi, EEG UML CENT PRO KIL Burger V., 2010, Z ENERGIEWIRTSCHAFT, V34, P47 CDU CSU SPD (Christlich Demokratische Union Deutschlands/ Christlich-Soziale Union in Bayern/ Sozialdemokratische Partei Deutschland), 2013, DEUTSCHL ZUK GEST CO Energy Brainpool, 2013, ZUS STROMB ENDK Erdmann G., 2011, KOSTEN AUSBAUS ERNEU Frondel M., 2014, ENERGIEKOSTENBELASTU Fursch M, 2012, MERIT ORDER EFFEKT E Gawel E., 2013, P BERL EN 2013 BERL Gawel E., 2015, ENERGIEWENDE FODERAL, V10, P143 Gawel E., 2000, Z WIRTSCH, V2, P182 Gawel E., 2012, Z UMWELTR ZUR, V9, P457 Gawel E., 2013, ENERGIEWIRTSCH TAGES, V4, P25 Gawel E., 2015, ENERGIE SOZIALE UNGL Gawel E., 2012, WIRTSCHAFTSDIENST, V8, P312 Gawel E., 2013, DEUTSCH VERWALT, V7, P409 Gesamtverband Textil + Mode, ECKP FAIR FIN EN Gough I., CHALLENGE CLIMATE CH Grosche P., 2014, EMPIR ECON, V4, P1339 Heindl P., 2014, ZEW DISCUSSION PAPER Heindl P., 2014, WIRTSCHAFTSDIENST, V7, P508 Heindl P., 2014, P GREEN GROWTH SUST Initiative Neue Soziale Marktwirtschaft (INSM), EEG BEL VOR ALL GER Institut der Deutschen Wirtschaft Koln (IW), 2012, GER ZAHL ZECH, P1 Kuchler S., 2012, WAS STROM WIRKLICH K Kuchler S., 2012, P WORKSH SOZ GER EN Li K., 2012, ENERG POLICY, V68, P476 Liddell C., 2011, DEFINING FUEL POVERT Manssen G., 2012, ENERGIEWIRTSCH TAGES, V11, P49 Mayer J., 2014, KURZSTUDIE HIST ENTW Musgrave R. A., 1989, PUBLIC FINANCE THEOR Nelson T, 2011, ECON ANAL POLICY, V41, P113, DOI 10.1016/S0313-5926(11)50015-3 Neuhoff K., 2013, ECON ENERGY ENV POL, V1, P41 Organization for Economic Cooperation and Development (OECD), 2009, MAN WAT ALL OECD PER Rausch S, 2014, RESOUR ENERGY ECON, V36, P556, DOI 10.1016/j.reseneeco.2013.09.001 Reuster L., 2012, INDUSTRIEBEGUNSTIGUN Rosenkranz G., 2013, ENERGIEWENDE ODER EN Sensfuss F., 2011, ANAL MERIT ORDER EFF Sorge N.V., WARUM KEINEN NEUEN S Tews K., 2011, 052011 FFU Tews K., 2013, 042013 FFU Tews K., 2014, GAIA, V1, P14 trend:research, 2013, DEF MARKT BURG DEUTS United Nations, TRANSF OUR WORLD 203 Vassiliadis M., 2013, HANDELSBLATT Verbraucherzentrale Bundesverband (VZBV), EN VZBV FORD ENTL VE Verde S.F., 2013, EUI WORKING PAPERS R, V2103 Wetzel D., GROSS SCHWINDEL SOLA NR 54 TC 5 Z9 5 U1 0 U2 10 PU MDPI AG PI BASEL PA POSTFACH, CH-4005 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD DEC PY 2015 VL 7 IS 12 BP 16599 EP 16615 DI 10.3390/su71215834 PG 17 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA DA1JA UT WOS:000367550900050 OA DOAJ Gold DA 2019-04-09 ER PT J AU Reade, C Thorp, R Goka, K Wasbauer, M McKenna, M AF Reade, Carol Thorp, Robbin Goka, Koichi Wasbauer, Marius McKenna, Mark TI Invisible Compromises: Global Business, Local Ecosystems, and the Commercial Bumble Bee Trade SO ORGANIZATION & ENVIRONMENT LA English DT Article DE global business and the environment; global strategy; commercial bumble bee trade; Bombus terrestris; invasive species; ecosystems; biodiversity loss; sustainable development; weak and strong sustainability ID INTRODUCED BOMBUS-TERRESTRIS; EUROPEAN BUMBLEBEE; L. HYMENOPTERA; SUSTAINABILITY; BIODIVERSITY; APIDAE; JAPAN; POLLINATION; RISK; INTENSIFICATION AB The purpose of this article is to challenge organizational scholars, management educators, and business leaders to consider more deeply the impact of global business activities on local ecosystems. Drawing on the management, sustainability, and entomology literature, we illustrate the complex relationship between global business and biodiversity loss through the lens of the commercial bumble bee trade. Global firms in this trade rear and supply bees for greenhouse crop pollination. We build on a well-known global strategy framework used in management education by adding a sustainability dimension, and offering propositions for the relationship between global business strategy and the strength of environmental sustainability. We conclude that a locally responsive, place-sensitive business strategy supports the strongest degree of environmental sustainability, and addresses the invisible compromises to ecosystem health that may result from the efforts of global firms to provide otherwise beneficial products and services. C1 [Reade, Carol] San Jose State Univ, Int Management, San Jose, CA 95192 USA. [Thorp, Robbin] Univ Calif Davis, Entomol, Davis, CA 95616 USA. [Goka, Koichi] Natl Inst Environm Studies, Invas Alien Species Res Team, Tsukuba, Ibaraki, Japan. [Wasbauer, Marius] Univ Calif Davis, Bohart Museum Entomol, Davis, CA 95616 USA. [McKenna, Mark] Hult Int Business Sch, Globalizat & Emerging Markets, San Francisco, CA USA. RP Reade, C (reprint author), San Jose State Univ, Coll Business, One Washington Sq, San Jose, CA 95192 USA. EM carol.reade@sjsu.edu FU San Jose State University FX The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: A Lucas Research Grant, San Jose State University, is gratefully acknowledged. CR Adams W. M., 2006, IUCN REN THINK M 29 Aragon-Correa JA, 1998, ACAD MANAGE J, V41, P556, DOI 10.2307/256942 Arbetman MP, 2013, BIOL INVASIONS, V15, P489, DOI 10.1007/s10530-012-0311-0 Bartlett C., 1989, MANAGING BORDERS Beck U, 2008, WORLD RISK Belt T., 1875, NATURE, V13, P26 Belt T., 1878, HARDWICKES SCI GOSSI, V14, P89 Brundtland G.H., 1987, OUR COMMON FUTURE WO Buchmann SL, 1996, FORGOTTEN POLLINATOR Callon Michel, 2009, ACTING UNCERTAIN WOR Convention of Biological Diversity, 2004, DEC 7 11 EC APPR Cook R., 2005, 2 USDA Dafni A, 2010, APPL ENTOMOL ZOOL, V45, P101, DOI 10.1303/aez.2010.101 Dohzono I, 2008, ECOLOGY, V89, P3082, DOI 10.1890/07-1491.1 Dyllick Thomas, 2002, BUSINESS STRATEGY EN, V11, P130, DOI DOI 10.1002/BSE.323 Ehrlich PR, 2008, P NATL ACAD SCI USA, V105, P11579, DOI 10.1073/pnas.0801911105 Etzion D., 2007, JOURNAL OF MANAGEMEN, V33, P637 Goka K, 2001, MOL ECOL, V10, P2095, DOI 10.1046/j.0962-1083.2001.01323.x Goka Koichi, 1998, Bulletin of the Biogeographical Society of Japan, V53, P91 Goka K, 2010, APPL ENTOMOL ZOOL, V45, P1, DOI 10.1303/aez.2010.1 GOODLAND R, 1995, ANNU REV ECOL SYST, V26, P1, DOI 10.1146/annurev.es.26.110195.000245 Goulson D, 2003, ANNU REV ECOL EVOL S, V34, P1, DOI 10.1146/annurev.ecolsys.34.011802.132355 Graystock P, 2013, J APPL ECOL, V50, P1207, DOI 10.1111/1365-2664.12134 Hill C. W. L, 2014, INT BUSINESS COMPETI Hingston AB, 2006, AUST J ENTOMOL, V45, P137, DOI 10.1111/j.1440-6055.2006.00527.x Hingston AB, 2004, AUST J BOT, V52, P371, DOI 10.1071/BT03018 Ings TC, 2006, J APPL ECOL, V43, P940, DOI 10.1111/j.1365-2664.2006.01199.x Inoue MN, 2010, INSECT SOC, V57, P29, DOI 10.1007/s00040-009-0047-8 Inoue MN, 2008, J INSECT CONSERV, V12, P135, DOI 10.1007/s10841-007-9071-z Inoue MN, 2010, APPL ENTOMOL ZOOL, V45, P71, DOI 10.1303/aez.2010.71 Kanbe Y, 2008, NATURWISSENSCHAFTEN, V95, P1003, DOI 10.1007/s00114-008-0415-7 Kenta T, 2007, BIOL CONSERV, V134, P298, DOI 10.1016/j.biocon.2006.07.023 Korhonen J., 2006, BUSINESS ETHICS EURO, V15, P200 Kraus FB, 2011, CONSERV GENET, V12, P187, DOI 10.1007/s10592-010-0131-7 Kremen C, 2002, P NATL ACAD SCI USA, V99, P16812, DOI 10.1073/pnas.262413599 Latour B, 2004, POLITICS NATURE BRIN Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Luthans F., 2014, INT MANAGEMENT CULTU MALOVICS G., 2008, J SOCIO-ECON, V37, P907 Mitsuhata M., 2006, AGR CHEM GUIDE Mizutani T, 2010, APPL ENTOMOL ZOOL, V45, P65, DOI 10.1303/aez.2010.65 Moore C., 2012, OCCASIONAL PAPER SER, V2012, P2 Murray TE, 2013, BIOL CONSERV, V159, P269, DOI 10.1016/j.biocon.2012.10.021 Nagamitsu T., 2007, JAPANESE INSECT CONS, V47, P77 Neumayer E, 2013, WEAK VERSUS STRONG SUSTAINABILITY: EXPLORING THE LIMITS OF TWO OPPOSING PARADIGMS, 4TH EDITION, P1, DOI 10.4337/9781781007082 New T., 2012, HYMENOPTERA CONSERVA Nicola S, 2009, ACTA HORTIC, V821, P27 Palma G, 2008, J APPL ENTOMOL, V132, P79, DOI 10.1111/j.1439-0418.2007.01246.x Peng YS, 2008, J BUS ETHICS, V79, P199, DOI 10.1007/s10551-007-9382-8 Peralta I. E., 2005, GENETIC IMPROVEMENT, V2, P1 Prahalad C. K., 1987, MULTINATIONAL MISSIO Rands MRW, 2010, SCIENCE, V329, P1298, DOI 10.1126/science.1189138 Reade C, 2014, J CORPORATE CITIZENS, V56, P53, DOI [10.9774/GLEAF.4700.2014.de.00006, DOI 10.9774/GLEAF.4700.2014.DE.00006] Schein E. H., 2010, ORG CULTURE LEADERSH SHRIVASTAVA P, 1995, ACAD MANAGE REV, V20, P936, DOI 10.2307/258961 Shrivastava P, 2013, ORGAN ENVIRON, V26, P83, DOI 10.1177/1086026612475068 Sladen F. W. L., 1912, THE HUMBLE BEE Slootweg R, 2005, IMPACT ASSESS PROJ A, V23, P37 Spivak M, 2011, ENVIRON SCI TECHNOL, V45, P34, DOI 10.1021/es101468w Starik M, 2010, ACAD MANAG LEARN EDU, V9, P377, DOI 10.5465/AMLE.2010.53791821 The Xerces Society, 2007, POLL IN PER Thorp R. W., 2003, P T SAY PUBLICATIONS, P21 Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108 Tsuchida K, 2010, APPL ENTOMOL ZOOL, V45, P49, DOI 10.1303/aez.2010.49 Vanbergen AJ, 2013, FRONT ECOL ENVIRON, V11, P251, DOI 10.1890/120126 Velthuis H. H. W, 2002, POLLINATING BEES CON, P177 Velthuis HHW, 2006, APIDOLOGIE, V37, P421, DOI 10.1051/apido:2006019 Vergera C. H., 2013, J POLLINATION ECOLOG, V7, P27 Waddock SA, 2002, ACAD MANAGE EXEC, V16, P132, DOI 10.5465/AME.2002.7173581 Winn MI, 2013, ORGAN ENVIRON, V26, P203, DOI 10.1177/1086026613490173 Winter K., 2006, CISC VIS NETW IND GL Worner SP, 2006, J APPL ECOL, V43, P858, DOI 10.1111/j.1365-2664.2006.01202.x NR 72 TC 3 Z9 3 U1 2 U2 47 PU SAGE PUBLICATIONS INC PI THOUSAND OAKS PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA SN 1086-0266 EI 1552-7417 J9 ORGAN ENVIRON JI Organ. Environ. PD DEC PY 2015 VL 28 IS 4 BP 436 EP 457 DI 10.1177/1086026615595085 PG 22 WC Environmental Studies; Management SC Environmental Sciences & Ecology; Business & Economics GA DA0GX UT WOS:000367476700006 DA 2019-04-09 ER PT J AU Paolotti, L Martino, G Marchini, A Pascolini, R Boggia, A AF Paolotti, L. Martino, G. Marchini, A. Pascolini, R. Boggia, A. TI Economic and environmental evaluation of transporting imported pellet: A case study SO BIOMASS & BIOENERGY LA English DT Article DE Biomass; Pellet transport; International trade; Cost analysis; LCA; Environmental impacts ID LIFE-CYCLE ASSESSMENT; GREENHOUSE-GAS EMISSIONS; WOOD PELLETS; IMPACT ASSESSMENT; SENSITIVITY-ANALYSIS; UNCERTAINTY ANALYSIS; ENERGY-PRODUCTION; BIOMASS; SUSTAINABILITY; VEHICLES AB This work compares the different methods of transport used to import pellets, through a case study of pellets imported into Italy. The objective was to evaluate the economic and environmental sustainability of the different transport methods, the former via a cost analysis, and the latter via an LCA analysis. In particular, the method of transport by sea from Virginia (USA) was compared to overland transport from some European locations. Industrial pellet markets strictly depend on the import of wood pellets from outside the EU-27. The analysis of transport phase is therefore crucial, for inspecting the consequences of transporting such a commodity along considerable distances and allowing decision makers to make strategic decisions about trade planning, optimize international routes, and choose the most sustainable transport methods. The economic analysis showed that road transport cost ranged from 18 to 112 (sic) t(-1), while sea cost from 68 to 82 (sic) t(-1). Concerning the environmental evaluation, the impact categories most involved were Fossil Fuels, Respiratory Inorganics and Land Use, showing that the critical points in the transport phase are the oil consumption per km and the production of high quantities of SO2 and NOx. Basically, transport by sea appeared to be better, from the economic viewpoint, and for what concerns one of the major environmental impacts involved (fossil fuels) and primary energy consumption, compared to road transport from some of the European locations normally supplying the Italian market. On the contrary, road transport was preferred if transporting pellets from locations nearest to Italy. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Paolotti, L.; Martino, G.; Marchini, A.; Boggia, A.] Univ Perugia, Dept Agr Food & Environm Sci, I-06121 Perugia, Italy. [Pascolini, R.] Eco Pellet Grp SpA, I-06073 Perugia, Italy. RP Paolotti, L (reprint author), Univ Perugia, Dept Agr Food & Environm Sci, Borgo XX Giugno 74, I-06121 Perugia, Italy. EM luisa.paolotti@gmail.com RI Martino, Gaetano/P-3556-2015 OI Martino, Gaetano/0000-0001-6827-3185; Marchini, Andrea/0000-0001-7358-9133 CR [Anonymous], 2015, GOOGL EARTH 7 1 1 15 [Anonymous], 2015, GOOGL EARTH 7 1 1 15 [Anonymous], 2015, GOOGL EARTH 7 1 1 15 [Anonymous], 2015, GOOGL EARTH 7 1 1 15 Cespi D, 2014, INT J LIFE CYCLE ASS, V19, P89, DOI 10.1007/s11367-013-0611-3 Contadini JF, 2002, INT J LIFE CYCLE ASS, V7, P73, DOI 10.1065/lca2002.02.074 den Herder M, 2012, ENERGIES, V5, P4870, DOI 10.3390/en5114870 Dinca C, 2009, ENERGY ENVIRON ENG S, P234 Domac J, 2011, SUMAR LIST, V135, P281 Ecoinvent, 2010, EC DAT V2 2 Fantozzi F, 2010, BIOMASS BIOENERG, V34, P1796, DOI 10.1016/j.biombioe.2010.07.011 Ghafghazi S, 2011, INT J LIFE CYCLE ASS, V16, P212, DOI 10.1007/s11367-011-0259-9 Goedkoop M., 2001, ECOINDICATION 99 A D Gunn JS, 2012, GCB BIOENERGY, V4, P239, DOI 10.1111/j.1757-1707.2011.01127.x Guo M, 2012, SCI TOTAL ENVIRON, V435, P230, DOI 10.1016/j.scitotenv.2012.07.006 HAMBY DM, 1994, ENVIRON MONIT ASSESS, V32, P135, DOI 10.1007/BF00547132 Heinimo J, 2009, BIOMASS BIOENERG, V33, P1310, DOI 10.1016/j.biombioe.2009.05.017 Hitoe K, 2011, MOKUZAI GAKKAISHI, V57, P63, DOI 10.2488/jwrs.57.63 International Organization for Standardization, 2006, 14040 ISO International Organization for Standardization, 2006, 14044 ISO IPCC Intergovernmental Panel on Climate Change, IPCC 4 ASS REP CLIM Johnson DR, 2011, BIOMASS BIOENERG, V35, P2619, DOI 10.1016/j.biombioe.2011.02.046 Kang HM, 2013, J FAC AGR KYUSHU U, V58, P175 Kebede E, 2013, ENERGY SUSTAIN DEV, V17, P252, DOI 10.1016/j.esd.2013.01.004 Komata H, 2010, MOKUZAI GAKKAISHI, V56, P139, DOI 10.2488/jwrs.56.139 Lamers P, 2014, GCB BIOENERGY, V6, P44, DOI 10.1111/gcbb.12055 Lamers P, 2012, RENEW SUST ENERG REV, V16, P3176, DOI 10.1016/j.rser.2012.02.027 Magelli F, 2009, BIOMASS BIOENERG, V33, P434, DOI 10.1016/j.biombioe.2008.08.016 Mannucci P. M., 2013, ARIA MORIRE DANNI IN Martin AJ, 2015, BRIT J EDUC PSYCHOL, V85, P207, DOI [10.1111/bjep.12038, 10.1057/9781137293503] Ministero delle Infrastrutture e Trasporti, AUT MERC CONT 3 COST Mobini M, 2013, APPL ENERG, V111, P1239, DOI 10.1016/j.apenergy.2013.06.026 Monarca D, 2011, LECT NOTES COMPUT SC, V6785, P296, DOI 10.1007/978-3-642-21898-9_26 Noshadravan A, 2015, INT J LIFE CYCLE ASS, V20, P854, DOI 10.1007/s11367-015-0866-y Notteboom T, 2009, P 2009 INT ASS MAR E Obernberger I, 2010, PELLET HDB PRODUCTIO Pa A, 2012, INT J LIFE CYCLE ASS, V17, P220, DOI 10.1007/s11367-011-0358-7 Pa A, 2011, BIORESOURCE TECHNOL, V102, P6167, DOI 10.1016/j.biortech.2011.02.009 Paniz A., 2012, AGRIFORENERGY, V4, P17 Pirraglia A, 2013, BIOENERG RES, V6, P263, DOI 10.1007/s12155-012-9255-6 Product Ecology Consultants, 1990, SIMAPRO LCA SOFTW Schlesinger W.H., 2010, COMMUNICATION Sikkema R, 2011, BIOFUEL BIOPROD BIOR, V5, P250, DOI 10.1002/bbb.277 Sikkema R, 2010, BIOFUEL BIOPROD BIOR, V4, P132, DOI 10.1002/bbb.208 Sjolie HK, 2011, ENVIRON SCI POLICY, V14, P1028, DOI 10.1016/j.envsci.2011.07.011 Sultana A, 2012, BIOMASS BIOENERG, V39, P344, DOI 10.1016/j.biombioe.2012.01.027 Tabata T, 2012, ENERGY, V45, P944, DOI 10.1016/j.energy.2012.06.064 Tromborg E, 2013, BIOMASS BIOENERG, V57, P68, DOI 10.1016/j.biombioe.2013.01.030 Upham P, 2014, J CLEAN PROD, V65, P261, DOI 10.1016/j.jclepro.2013.09.041 NR 49 TC 10 Z9 10 U1 2 U2 19 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0961-9534 EI 1873-2909 J9 BIOMASS BIOENERG JI Biomass Bioenerg. PD DEC PY 2015 VL 83 BP 340 EP 353 DI 10.1016/j.biombioe.2015.09.011 PG 14 WC Agricultural Engineering; Biotechnology & Applied Microbiology; Energy & Fuels SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels GA CZ4PB UT WOS:000367084100037 DA 2019-04-09 ER PT J AU Suwelack, K Wust, D AF Suwelack, Kay Wuest, Dominik TI An approach to unify the appraisal framework for biomass conversion systems SO BIOMASS & BIOENERGY LA English DT Article DE Unified appraisal framework; Sustainability assessment; Biomass; Biofuels; Advanced radar plots; Multi-criteria decision making ID LIFE-CYCLE ASSESSMENT; MULTICRITERIA DECISION-ANALYSIS; BIOENERGY PRODUCTION; RENEWABLE ENERGY; SUSTAINABILITY ASSESSMENTS; EVALUATING SUSTAINABILITY; TECHNOLOGY READINESS; SYNTHESIZE BIOFUEL; CONSEQUENTIAL LCA; WEIGHTING METHODS AB The need for a unified appraisal framework for biomass and bioenergy has been extensively discussed in literature. It is emphasized that a working unified appraisal framework can essentially improve bioenergy policymaking by offering a structured and transparent approach to tackle the bioenergy trilemma and to work out whether or not a certain biomass conversion technology or system should be implemented (always in direct comparison to others). Further, such an approach could be used to better examine the interdependencies of the single elements of the triple bottom line of sustainability (economy, environment, society). This also would lead to the improvement of existing and future policies and would give bioenergy a better foundation within the ethical debate by transparently showing the trade-offs between economy, environment and society. This paper drafts a unified appraisal framework for biomass conversion systems that integrates different approaches on the data, impact and decision making level. On the bottom line the proposed architecture in total addresses all relevant requirements from literature and fits well into the valuable work that has been done previously. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Suwelack, Kay] Fraunhofer Inst Technol Trend Anal INT, D-53879 Euskirchen, Germany. [Suwelack, Kay; Wuest, Dominik] Univ Hohenheim, Inst Agr Engn, Convers Technol & LCA Renewable Resources, Stuttgart, Germany. RP Suwelack, K (reprint author), Fraunhofer Inst Technol Trend Anal INT, Appelsgarten 2, D-53879 Euskirchen, Germany. EM kay.uwe.suwelack@int.fraunhofer.de OI Suwelack, Kay/0000-0003-3851-6400; Wust, Dominik/0000-0002-0981-4938 CR Ahn BS, 2011, EUR J OPER RES, V212, P552, DOI 10.1016/j.ejor.2011.02.017 Asselin-Balencon AC, 2014, J CLEAN PROD, V79, P98, DOI 10.1016/j.jclepro.2014.05.024 Ayoub N, 2007, ENERG CONVERS MANAGE, V48, P709, DOI 10.1016/j.enconman.2006.09.012 Baquero G, 2011, BIOMASS BIOENERG, V35, P3687, DOI 10.1016/j.biombioe.2011.05.028 Baumann H., 2004, HITCH HIKERSS GUIDE Bejan A., 1996, THERMAL DESIGN OPTIM Bergmann A, 2008, ECOL ECON, V65, P616, DOI 10.1016/j.ecolecon.2007.08.011 BIOTEAM Project, 2014, BIOT PROJ Bonn: IluO. Christen, 1999, NACHH LANDW ID PRAK Borchers AM, 2007, ENERG POLICY, V35, P3327, DOI 10.1016/j.enpol.2006.12.009 Borrion AL, 2012, RENEW SUST ENERG REV, V16, P4638, DOI 10.1016/j.rser.2012.04.016 Boucher P, 2014, SCI PUBL POLICY, V41, P283, DOI 10.1093/scipol/scu028 Buchholz T, 2009, ENERG POLICY, V37, P484, DOI 10.1016/j.enpol.2008.09.054 Campbell R., 2015, NATHANIEL ANDERSON Q D'Ovidio A, 2009, ELECTR POW SYST RES, V79, P645, DOI 10.1016/j.epsr.2008.09.015 Deutsche Norm, 2014, 140402006 ISO Dhillon B. S., 2010, LIFE CYCLE COSTING E Diaz-Chavez RA, 2011, ENERG POLICY, V39, P5763, DOI 10.1016/j.enpol.2011.03.054 Efroymson RA, 2013, ENVIRON MANAGE, V51, P291, DOI 10.1007/s00267-012-9907-5 Ribeiro BE, 2013, ENERG POLICY, V57, P355, DOI 10.1016/j.enpol.2013.02.004 European Commission, 2011, ILCD HDB GEN GUID LC Feifel S., 2009, OKOBILANZIERUNG 2009 Fontana V, 2013, ECOL ECON, V93, P128, DOI 10.1016/j.ecolecon.2013.05.007 Gasparatos A, 2013, BIOMASS BIOENERG, V50, P75, DOI 10.1016/j.biombioe.2012.09.052 Gebrezgabher SA, 2014, EUR J OPER RES, V232, P643, DOI 10.1016/j.ejor.2013.08.006 Gnansounou E, 2011, ENERGY, V36, P2089, DOI 10.1016/j.energy.2010.04.027 Goett AA, 2000, ENERGY J, V4, P1 Gracia A, 2012, ENERG POLICY, V50, P784, DOI 10.1016/j.enpol.2012.08.028 Haralambopoulos DA, 2003, RENEW ENERG, V28, P961, DOI 10.1016/S0960-1481(02)00072-1 Hardtlein M., 2000, ANSATZ OPERATIONALIS Harvey M, 2011, FOOD POLICY, V36, pS40, DOI 10.1016/j.foodpol.2010.11.009 Heyne S, 2013, APPL ENERG, V101, P203, DOI 10.1016/j.apenergy.2012.03.034 Holma A, 2013, J CLEAN PROD, V54, P215, DOI 10.1016/j.jclepro.2013.04.032 Hunkeler D, 2006, INT J LIFE CYCLE ASS, V11, P371, DOI 10.1065/lca2006.08.261 International Standards Organisation, 2008, BUILD CONSTR ASS SER Jaeger WK, 2011, RENEW SUST ENERG REV, V15, P4320, DOI 10.1016/j.rser.2011.07.118 Jia J, 1998, J BEHAV DECIS MAKING, V11, P85, DOI 10.1002/(SICI)1099-0771(199806)11:2<85::AID-BDM282>3.0.CO;2-K Jiang YH, 2013, HABITAT INT, V38, P167, DOI 10.1016/j.habitatint.2012.06.003 Jin J., 2008, GEN INTELLIGENT ASSE Jorgensen A, 2008, INT J LIFE CYCLE ASS, V13, P96, DOI 10.1065/lca2007.11.367 Jorgensen A, 2010, INT J LIFE CYCLE ASS, V15, P376, DOI 10.1007/s11367-010-0176-3 Klopffer W., 2011, LEITFADEN AUSBILDUNG Levidow L, 2013, GEOFORUM, V44, P211, DOI 10.1016/j.geoforum.2012.09.005 Li X., 2011, CHEM RES, V50, P2981 Liew WH, 2014, J CLEAN PROD, V71, P11, DOI 10.1016/j.jclepro.2014.01.006 Mangoyana RB, 2013, RENEW SUST ENERG REV, V25, P371, DOI 10.1016/j.rser.2013.05.003 Mankins JC, 2013, TECHNOLOGY READINESS Mankins JC, 2009, ACTA ASTRONAUT, V65, P1216, DOI 10.1016/j.actaastro.2009.03.058 Mankins JC, 2009, ACTA ASTRONAUT, V65, P1208, DOI 10.1016/j.actaastro.2009.03.059 MILLIGAN GW, 1988, J CLASSIF, V5, P181, DOI 10.1007/BF01897163 Mohr A, 2013, ENERG POLICY, V63, P114, DOI 10.1016/j.enpol.2013.08.033 Morris I., 2011, WER REGIERT WELT WAR Myllyviita T, 2012, J CLEAN PROD, V29-30, P238, DOI 10.1016/j.jclepro.2012.01.019 Pawelzik P, 2013, RESOUR CONSERV RECY, V73, P211, DOI 10.1016/j.resconrec.2013.02.006 Perimenis A, 2011, ENERG POLICY, V39, P1782, DOI 10.1016/j.enpol.2011.01.011 Pham D. T, 2006, INTELLIGENT PRODUCTI Ren JZ, 2013, INT J HYDROGEN ENERG, V38, P9111, DOI 10.1016/j.ijhydene.2013.05.074 Rozakis S, 2001, BIOMASS BIOENERG, V20, P385, DOI 10.1016/S0961-9534(01)00004-6 Santoyo-Castelazo E, 2014, J CLEAN PROD, V80, P119, DOI 10.1016/j.jclepro.2014.05.061 Sawaengsak W, 2014, ENERGY SUSTAIN DEV, V18, P67, DOI 10.1016/j.esd.2013.12.003 Schueller G. I., 1999, SAFETY RELIBILITY Scott JA, 2012, ENERGY, V42, P146, DOI 10.1016/j.energy.2012.03.074 Silalertruksa T, 2012, J CLEAN PROD, V28, P225, DOI 10.1016/j.jclepro.2011.07.022 Lora EES, 2011, ENERGY, V36, P2097, DOI 10.1016/j.energy.2010.06.012 Solino M, 2009, BIOMASS BIOENERG, V33, P407, DOI 10.1016/j.biombioe.2008.08.017 Solino M, 2012, ENERG POLICY, V41, P798, DOI 10.1016/j.enpol.2011.11.048 Sultana A, 2012, BIOMASS BIOENERG, V39, P344, DOI 10.1016/j.biombioe.2012.01.027 Suwelack KU, 2015, BIOMASS CONV BIOREF Tamiz M, 1998, EUR J OPER RES, V111, P569, DOI 10.1016/S0377-2217(97)00317-2 Tonini D, 2012, ENVIRON SCI TECHNOL, V46, P13521, DOI 10.1021/es3024435 Triantaphyllou E, 1997, DECISION SCI, V28, P151, DOI 10.1111/j.1540-5915.1997.tb01306.x Turcksin L, 2011, ENERG POLICY, V39, P200, DOI 10.1016/j.enpol.2010.09.033 UNEP/SETAC, 2009, LIF CYCL IN GUID SOC Upham P, 2014, J CLEAN PROD, V65, P261, DOI 10.1016/j.jclepro.2013.09.041 Van Dael M, 2012, BIOMASS BIOENERG, V45, P175, DOI 10.1016/j.biombioe.2012.06.001 van Til J, 2014, COST EFFECT RESOUR A, V12, DOI 10.1186/1478-7547-12-22 Vazquez-Rowe I, 2014, SCI TOTAL ENVIRON, V472, P78, DOI 10.1016/j.scitotenv.2013.10.097 Verband Deutscher Maschinen- und Anlagenbau e.V. (VDMA), 2006, PROGN LEB MASCH ANL Verband Deutscher Maschinen- und Anlagenbau e. V. (VDMA), 2007, BERICH PROGN LEB MAS Verein Deutscher Ingenieure, 2014, KLASS GUT BIOR Verein Deutscher Ingenieure, BESCH BETR INST PROD Wang JJ, 2009, RENEW SUST ENERG REV, V13, P2263, DOI 10.1016/j.rser.2009.06.021 Wiloso EI, 2012, RENEW SUST ENERG REV, V16, P5295, DOI 10.1016/j.rser.2012.04.035 Ye Y. C., 2006, SYSTEM SYNTHETICAL E Ziolkowska JR, 2013, BIOMASS BIOENERG, V59, P425, DOI 10.1016/j.biombioe.2013.09.008 NR 85 TC 6 Z9 6 U1 0 U2 17 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0961-9534 EI 1873-2909 J9 BIOMASS BIOENERG JI Biomass Bioenerg. PD DEC PY 2015 VL 83 BP 354 EP 365 DI 10.1016/j.biombioe.2015.10.012 PG 12 WC Agricultural Engineering; Biotechnology & Applied Microbiology; Energy & Fuels SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels GA CZ4PB UT WOS:000367084100038 DA 2019-04-09 ER PT J AU Xiao, J AF Xiao, Jun TI How can a prospective China-EU BIT contribute to sustainable investment: in light of the UNCTAD Investment Policy Framework for Sustainable Development SO JOURNAL OF WORLD ENERGY LAW & BUSINESS LA English DT Article ID ARBITRATION; TREATY AB At present, the issue of bilateral investment treaties (BIT) is gaining more and more importance worldwide, because of various projects requiring effective financial flow, being globally initiated. This article tries to analyse the particularities of the BITs between China and Canada (China-Canada BIT), as well as between the European Union (EU) and Canada (investment chapter of the Comprehensive Economic and Trade Agreement, CETA) to locate and emphasize some of the basic features applicable for a future investment protection oriented agreement involving China and the EU. Furthermore, the scope of United Nations Conference on Trade and Development (UNCTAD)'s Investment Policy Framework for Sustainable Development (IPFSD) broadens the view on International Investment Agreements in general, helping the assessment of their provisions from a sustainability aspect. The article also covers some of the areas of dispute settlement, its main goal being to make complex suggestions to the constantly forming international investment policy of China, potentially contributing to the pressurization of sustainable development. C1 [Xiao, Jun] Wuhan Univ, Sch Law, Inst Int Law, Wuhan, Peoples R China. [Xiao, Jun] Univ Turin, Sch Law, EU Commiss Marie Curie, EPSEI Programme, I-10124 Turin, Italy. RP Xiao, J (reprint author), Wuhan Univ, Sch Law, Inst Int Law, Wuhan, Peoples R China. FU People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme under REA grant [269327] FX The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP7/2007-2013) under REA grant agreement no 269327 Acronym of the Project: EPSEI (2011-2015) entitled 'Evaluating Policies for Sustainable Energy Investments: Towards an Integrated Approach on National and International Stage', coordinated by University of Turin-Dipartimento di Giurisprudenza. CR Alvarez JE, 2011, MINNESOTA J INT L, V223, P235 [Anonymous], 2013, US CHIN CLOS STAT US [Anonymous], 2013, AGREEMENT GOVT PEOPL [Anonymous], 2011, AGREEMENT GOVT PEOPL Berger A, 2013, 7 GERM DEV I Berger Axel, 2015, TRANSATLANTIC TRADE Bernasconi-Osterwalder N, 2012, INVESTMENT TREATIES Bottini Gabriel, 2010, BACKLASH INVESTMENT, P298 Brower CN, 2014, COLUMBIA J TRANS LAW, V52, P689 Cai C, 2009, J INT ECON LAW, V12, P460 EC, 2015, NOW ONL NEG TEXTS TT EC, 2015, INV EC, 2015, ONL PUBL CONS INV PR EC, 2014, CONS CETA TEXT EC, 2014, INV PROV EU CAN FREE European Commission (EC), 2013, EU INV NEG CHIN ASEA Farah PD, 2011, EUR ENERGY ENV L REV, V20, P232 Franck SD, 2005, FORDHAM LAW REV, V73, P1521 Gallagher Norah, 2009, CHINESE INVESTMENT T, P35 Japan Korea and China, 2012, AGREEMENT GOVT JAPAN Kurtz J, 2005, INT INVESTMENT LAW A, P523 Lan Hongguang, 2014, XINHUA McLachlan Campbell, 2008, INT INVESTMENT ARBIT, P164 Ofodile Uche Ewelukwa, 2013, MICHIGAN J INT L, V35, P131 Park William W, 2010, BACKLASH INVESTMENT, p[189, 192] Shan WH, 2010, EUR J INT LAW, V21, P1049, DOI 10.1093/ejil/chq071 UNCTAD, 2013, REF INV STAT DISP SE, P6 UNCTAD, 2010, UNCTAD SER ISS INT I, P58 UNCTAD, 2012, WORLD INV REP 2012 N UNCTAD, 2011, UNCTAD SER ISS INT I UNCTAD, 2012, INV POL FRAM SUST DE United Nations Conference on Trade and Development (UNCTAD), 2014, WORLD INV REP Xiao J, 2011, FRONT L CHINA, P241 NR 33 TC 0 Z9 0 U1 2 U2 18 PU OXFORD UNIV PRESS PI OXFORD PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND SN 1754-9957 EI 1754-9965 J9 J WORLD ENERGY LAW B JI J. World Energy Law Bus. PD DEC PY 2015 VL 8 IS 6 SI SI BP 521 EP 541 DI 10.1093/jwelb/jwv033 PG 21 WC Business; Law SC Business & Economics; Government & Law GA CZ6AN UT WOS:000367183600003 DA 2019-04-09 ER PT J AU Chen, GQ Han, MY AF Chen, G. Q. Han, M. Y. TI Global supply chain of arable land use: Production-based and consumption-based trade imbalance SO LAND USE POLICY LA English DT Article DE Global supply chain; Input-output analysis; Arable land use; Food supply; Trade imbalance ID CARBON-DIOXIDE EMISSION; INTERNATIONAL-TRADE; WORLD-ECONOMY; ENVIRONMENTAL IMPACTS; AGRICULTURAL LAND; WATER FOOTPRINT; CHINA; FOOD; CONFIGURATIONS; REQUIREMENTS AB Closely related to food supply, arable land use has been extensively studied, especially regarding booming global trade activities. However, the analysis on trade patterns of arable land use, particularly in terms of intermediate use and final demand, is still lacking. To shed light on the complex arable land use relationships among economies, the global supply chain of arable land use is intensively explored in the present work by a systems multi-regional input-output analysis for the year of 2010, with focus on the trade patterns from the perspective of production and consumption. Global arable land use embodied in international trade is estimated near one third the global arable land use, and that embodied in intermediate use is almost twice that embodied in final demand. Arable land use trade patterns are noted in terms of production-based imports/exports and consumption-based imports/exports. Most notably, Mainland China is shown as the leading production-dominated importer. With regard to other large economies, Canada is found as a production-oriented exporter, in contrast to Australia as a consumption-oriented exporter. Japan is identified as a production-oriented importer, while the United States is a consumption-oriented importer. As heavy trade imbalance is revealed prevailing not only between countries and regions but also between intermediate products and final goods, the study to explore global supply chains of arable land use can provide essential policy making implications for security and sustainability in arable land use and food supply on both global and regional scales. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Chen, G. Q.; Han, M. Y.] Peking Univ, Coll Engn, Beijing 100871, Peoples R China. [Chen, G. Q.; Han, M. Y.] King Abdulaziz Univ, Fac Sci, NAAM Grp, Jeddah 21589, Saudi Arabia. RP Chen, GQ (reprint author), Peking Univ, Coll Engn, Beijing 100871, Peoples R China. EM gqchen@pku.edu.cn; myhan@pku.edu.cn RI Faculty of, Sciences, KAU/E-7305-2017; Chen, G. Q. Chen/B-5407-2012 OI Chen, G. Q. Chen/0000-0003-1173-6796 FU Natural Science Foundation of China [11272012] FX This work is supported by the Natural Science Foundation of China (grant no. 11272012). CR Antonelli M, 2015, LAND USE POLICY, V47, P98, DOI 10.1016/j.landusepol.2015.04.007 Chen GQ, 2015, LAND USE POLICY, V47, P55, DOI 10.1016/j.landusepol.2015.03.017 Chen ZM, 2013, J ENVIRON INFORM, V21, P35, DOI 10.3808/jei.201300230 Chen ZM, 2011, ENERG POLICY, V39, P5920, DOI 10.1016/j.enpol.2011.06.046 Chen ZM, 2011, ENERG POLICY, V39, P2899, DOI 10.1016/j.enpol.2011.02.068 Chen ZM, 2013, ECOL INDIC, V28, P142, DOI 10.1016/j.ecolind.2012.07.024 Chen ZM, 2013, COMMUN NONLINEAR SCI, V18-7, P1757 Davis SJ, 2010, P NATL ACAD SCI USA, V107, P5687, DOI 10.1073/pnas.0906974107 Garrett RD, 2013, LAND USE POLICY, V34, P265, DOI 10.1016/j.landusepol.2013.03.011 Garrett RD, 2013, LAND USE POLICY, V31, P385, DOI 10.1016/j.landusepol.2012.08.002 Gerbens-Leenes PW, 2002, AGR ECOSYST ENVIRON, V90, P47, DOI 10.1016/S0167-8809(01)00169-4 Lopes LFG, 2015, LAND USE POLICY, V45, P141, DOI 10.1016/j.landusepol.2014.12.008 Guo S, 2014, ECOL INDIC, V47, P198, DOI 10.1016/j.ecolind.2014.05.019 Han M.Y., 2015, ECOL MODEL Han MY, 2014, FRONT EARTH SCI-PRC, V8, P414, DOI 10.1007/s11707-014-0430-2 Headey D, 2011, FOOD POLICY, V36, P136, DOI 10.1016/j.foodpol.2010.10.003 Hubacek K., 2001, STRUCTURAL CHANGE EC, V12, P367, DOI DOI 10.1016/50954-349X(01)00029-7 Johnson R. C., 2011, ACCOUNTING INTERMEDI Kastner T., 2010, LAND USE POLICY, P27 Kastner T, 2012, P NATL ACAD SCI USA, V109, P6868, DOI 10.1073/pnas.1117054109 Kastner T, 2011, ECOL ECON, V70, P1032, DOI 10.1016/j.ecolecon.2011.01.012 Kongsager R., 2012, 4 GLPIPO Krzywinski M, 2009, GENOME RES, V19, P1639, DOI 10.1101/gr.092759.109 Lenzen M., 2007, ECOLOGICAL EC, V61, P6 Lenzen M., 2003, ENVIRON IMPACT ASSES, V23, P263, DOI DOI 10.1016/S0195-9255(02)00104-X Lenzen M, 2013, ECOL ECON, V94, P78, DOI 10.1016/j.ecolecon.2013.06.018 Lenzen M, 2013, ECON SYST RES, V25, P20, DOI 10.1080/09535314.2013.769938 Lenzen M, 2012, ENVIRON SCI TECHNOL, V46, P8374, DOI 10.1021/es300171x Leontief WW, 1986, INPUT OUTPUT EC Liu YS, 2014, LAND USE POLICY, V40, P6, DOI 10.1016/j.landusepol.2013.03.013 Long HL, 2014, LAND USE POLICY, V40, P1, DOI 10.1016/j.landusepol.2014.03.006 Miroudot S., 2009, TRADE INTERMEDIATE G Perali F, 2012, J POLICY MODEL, V34, P155, DOI 10.1016/j.jpolmod.2012.01.002 Peters GP, 2008, ENVIRON SCI TECHNOL, V42, P1401, DOI 10.1021/es072023k Qiang WL, 2013, LAND USE POLICY, V33, P141, DOI 10.1016/j.landusepol.2012.12.017 Song W, 2014, HABITAT INT, V43, P198, DOI 10.1016/j.habitatint.2014.03.002 Steen-Olsen K, 2012, ENVIRON SCI TECHNOL, V46, P10883, DOI 10.1021/es301949t Tan MH, 2005, LAND USE POLICY, V22, P187, DOI 10.1016/j.landusepol.2004.03.003 The State Department of the People's Republic of China, 2006, 11 5 YEAR PLAN 2006 Tilman D, 2011, P NATL ACAD SCI USA, V108, P20260, DOI 10.1073/pnas.1116437108 Verhoeve A, 2015, LAND USE POLICY, V42, P547, DOI 10.1016/j.landusepol.2014.09.008 Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 Wiedmann T, 2007, ECOL ECON, V61, P15, DOI 10.1016/j.ecolecon.2006.12.003 Wood R, 2006, AGR SYST, V89, P324, DOI 10.1016/j.agsy.2005.09.007 Yu Y, 2013, GLOBAL ENVIRON CHANG, V23, P1178, DOI 10.1016/j.gloenvcha.2013.04.006 NR 45 TC 35 Z9 36 U1 5 U2 45 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD DEC PY 2015 VL 49 SI SI BP 118 EP 130 DI 10.1016/j.landusepol.2015.07.023 PG 13 WC Environmental Studies SC Environmental Sciences & Ecology GA CZ4XH UT WOS:000367105800012 DA 2019-04-09 ER PT J AU Bull, JW Hardy, MJ Moilanen, A Gordon, A AF Bull, J. W. Hardy, M. J. Moilanen, A. Gordon, A. TI Categories of flexibility in biodiversity offsetting, and their implications for conservation SO BIOLOGICAL CONSERVATION LA English DT Article DE Conservation policy; No net loss; Fungibility; Substitutability; Interchangeability ID DYNAMIC LANDSCAPES; FISHERIES BYCATCH; TRADE-OFFS; SUSTAINABILITY; PRIORITIZATION; SOFTWARE AB Biodiversity offsets ('offsets') are an increasingly widespread conservation tool. Often, offset policies have a like-for-like requirement, whereby permitted biodiversity losses must be offset by gains in similar ecosystem components. It has been suggested that some flexibility might improve offset outcomes - such as out-of-kind offsets, which channel compensation towards priority species. But there has been little formal exploration of other types of flexibility, and the possible ecological consequences. Building upon an existing framework for analysing conservation interventions, we first categorise the types of flexibility relevant to offsetting. We then explore ecological outcomes under two types of flexibility in offsetting, using a model which tracks biodiversity value (via the surrogate of 'habitat condition' x area) over time for multiple vegetation communities. We simulate offset policies that are flexible in time (i.e., offsets implemented before or after development) and flexible in type (i.e., losses in one habitat compensated for by gains in another). Our categorisation of flexibility identifies categories previously not explicitly considered during offset policy development. The simulation model showed that offsets that were flexible in time resulted in biodiversity declines happening sooner or later than they would otherwise - important, as conservation priorities change with time. Incorporating flexibility in type resulted in significantly different outcomes in value for each vegetation community modelled, including some counter-intuitive results. We emphasize the importance of considering the full spectrum of flexibility in biodiversity offsets during policy development As offset policies become increasingly prevalent, insufficient consideration of the consequences of flexibility could lead to undesirable biodiversity outcomes. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Bull, J. W.] Univ London Imperial Coll Sci Technol & Med, Dept Life Sci, Ascot SL5 7PY, Berks, England. [Hardy, M. J.; Gordon, A.] RMIT Univ, Sch Global Urban & Social Studies, Melbourne, Vic 3001, Australia. [Moilanen, A.] Univ Helsinki, Dept Biosci, FI-00014 Helsinki, Finland. RP Bull, JW (reprint author), Univ London Imperial Coll Sci Technol & Med, Dept Life Sci, Silwood Pk Campus, Ascot SL5 7PY, Berks, England. EM jwb@ifro.ku.dk RI Moilanen, Atte/A-5005-2011; Gordon, Ascelin/I-9184-2012; Hardy, Mathew/L-4799-2016; Bull, Joseph/O-7578-2015 OI Gordon, Ascelin/0000-0002-0648-0346; Hardy, Mathew/0000-0002-7322-7615; Bull, Joseph/0000-0001-7337-8977 FU Grand Challenges in Ecosystems and the Environment initiative at Imperial College London; Wild Business Ltd.; Australian Government's National Environmental Research Program (NERP); Australian Research Council's Centre of Excellence for Environmental Decisions (CEED); ERC-StG project GEDA [260393]; Academy of Finland Center of Excellence programme; CEED FX We acknowledge the extensive conceptual discussions held with E.J. Milner-Gulland, K.B. Suttle, P. Hotham and N.J. Singh, which informed this work. J.W.B. was supported by the Grand Challenges in Ecosystems and the Environment initiative at Imperial College London, and by Wild Business Ltd. M.J.H. was supported by the Australian Government's National Environmental Research Program (NERP) and the Australian Research Council's Centre of Excellence for Environmental Decisions (CEED). A.M. was supported by the ERC-StG project GEDA (grant #260393) and the Academy of Finland Center of Excellence programme. A.G. was supported by CEED. CR BBOP (Business and Biodiversity Offsets Programme), 2012, STAND BIOD OFFS Bekessy SA, 2010, CONSERV LETT, V3, P151, DOI 10.1111/j.1755-263X.2010.00110.x Brownlie S., 2009, IMPACT ASSESS PROJ A, V27, P227, DOI DOI 10.3152/146155109X465968 Bruggeman DJ, 2009, LANDSCAPE ECOL, V24, P775, DOI 10.1007/s10980-009-9351-y Bull J. W., 2014, CONSERV BIOL Bull J.W., 2014, BIOL CONSERV Bull JW, 2013, ORYX, V47, P369, DOI 10.1017/S003060531200172X Bull JW, 2013, FRONT ECOL ENVIRON, V11, P203, DOI 10.1890/120020 Carroll Nathaniel, 2011, STATE BIODIVERSITY M DEFRA, 2011, BIOD OFFS GUID PRINC DEPI (Victorian Government Department of Environment and Primary Industries), 2013, REF VICT NAT VEG PER Dietz S, 2007, ECOL ECON, V61, P617, DOI 10.1016/j.ecolecon.2006.09.007 Drechsler M, 2011, ECOL ECON, V70, P533, DOI 10.1016/j.ecolecon.2010.10.004 Gordon A., 2015, J APPL ECOL Gordon A, 2011, BIOL CONSERV, V144, P558, DOI 10.1016/j.biocon.2010.10.011 Gowdy JM, 2000, WILDLIFE SOC B, V28, P26 Habib T.J., 2013, CONSERV BIOL IFC, 2012, 6 IFC WORLD BANK GRO Johst K, 2011, J APPL ECOL, V48, P1227, DOI 10.1111/j.1365-2664.2011.02015.x Kiesecker J.M., 2009, FRONT ECOL ENVIRON, V8, P261 Kujala H, 2015, BIOL CONSERV, V192, P513, DOI 10.1016/j.biocon.2015.08.017 Kukkala AS, 2013, BIOL REV, V88, P443, DOI 10.1111/brv.12008 Laitila J, 2014, METHODS ECOL EVOL, V5, P1247, DOI 10.1111/2041-210X.12287 Mace GM, 2008, CONSERV BIOL, V22, P1424, DOI 10.1111/j.1523-1739.2008.01044.x Maron M, 2015, BIOL CONSERV, V192, P504, DOI 10.1016/j.biocon.2015.05.017 Moilanen A, 2014, BIOL CONSERV, V170, P188, DOI 10.1016/j.biocon.2014.01.001 Moilanen A, 2013, WILDLIFE RES, V40, P153, DOI 10.1071/WR12083 Moilanen A, 2009, RESTOR ECOL, V17, P470, DOI 10.1111/j.1526-100X.2008.00382.x Moreno Mateos D., 2015, BIOL CONSERV, V192, P552 Overton J. McM, 2012, NET PRESENT BIODIVER Parkes David, 2003, Ecological Management & Restoration, V4, pS29, DOI 10.1046/j.1442-8903.4.s.4.x Parris TM, 2003, ANNU REV ENV RESOUR, V28, P559, DOI 10.1146/annurev.energy.28.050302.105551 POULTON D. W., 2014, THESIS Pouzols FM, 2013, METHODS ECOL EVOL, V4, P426, DOI 10.1111/2041-210X.12040 Pouzols FM, 2012, BIOL CONSERV, V153, P41, DOI 10.1016/j.biocon.2012.05.014 Purvis A, 2000, NATURE, V405, P212, DOI 10.1038/35012221 Quetier F, 2011, BIOL CONSERV, V144, P2991, DOI 10.1016/j.biocon.2011.09.002 Saenz S, 2013, SUSTAINABILITY-BASEL, V5, P4961, DOI 10.3390/su5124961 Salzman J, 2000, STANFORD LAW REV, V53, P607, DOI 10.2307/1229470 TUCKER G., 2013, POLICY OPTIONS EU NO van Teeffelen AJA, 2014, LANDSCAPE URBAN PLAN, V130, P64, DOI 10.1016/j.landurbplan.2014.06.004 Walker S, 2009, CONSERV LETT, V2, P149, DOI 10.1111/j.1755-263X.2009.00061.x Wilcox C, 2007, FRONT ECOL ENVIRON, V5, P325, DOI 10.1890/1540-9295(2007)5[325:CMAAST]2.0.CO;2 Wissel S, 2010, CONSERV BIOL, V24, P404, DOI 10.1111/j.1523-1739.2009.01444.x Zydelis R, 2009, CONSERV BIOL, V23, P608, DOI 10.1111/j.1523-1739.2009.01172.x NR 45 TC 17 Z9 17 U1 3 U2 32 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0006-3207 EI 1873-2917 J9 BIOL CONSERV JI Biol. Conserv. PD DEC PY 2015 VL 192 BP 522 EP 532 DI 10.1016/j.biocon.2015.08.003 PG 11 WC Biodiversity Conservation; Ecology; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CY6TB UT WOS:000366540600062 DA 2019-04-09 ER PT J AU Spash, CL AF Spash, Clive L. TI Bulldozing biodiversity: The economics of offsets and trading-in Nature SO BIOLOGICAL CONSERVATION LA English DT Article DE Biodiversity offsets; Economics; New environmental pragmatism; TEEB; Commodification of Nature; Ethics ID SPECIAL SCIENTIFIC INTEREST; CONTINGENT VALUATION; ECOLOGICAL ECONOMICS; ECOSYSTEM SERVICES; PROTECTING SITES; CONSERVATION; VALUES; SUSTAINABILITY; NEOLIBERALISM; ALTERNATIVES AB Many conservationists have become enamoured with mainstream economic concepts and approaches, described as pragmatic replacements for appeals to ethics and direct regulation. Trading biodiversity using offsets is rapidly becoming part of the resulting push for market governance that is promoted as a more efficient means of Nature conservation. In critically evaluating this position I argue that offsets, along with biodiversity and ecosystem valuation, use economic logic to legitimise, rather than prevent, ongoing habitat destruction. Biodiversity offsets provide a means of commodifying habitat for exchange. They operationalise trade-offs that are in the best interests of developers and make false claims to adding productive new economic activity. Contrary to the argument that economic logic frees conservation from ethics, I expose the ethical premises required for economists to justify public policy support for offsets. Finally, various issues in offset design are raised and placed in the context of a political struggle over the meaning of Nature. The overall message is that, if conservationists continue down the path of conceptualising the world as in mainstream economics they will be forced from one compromise to another, ultimately losing their ability to conserve or protect anything. They will also be abandoning the rich and meaningful human relationships with Nature that have been their raison d'etre. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Spash, Clive L.] WU Vienna Univ Econ & Business, Dept Socioecon, Inst Multilevel Governance & Dev, A-1020 Vienna, Austria. RP Spash, CL (reprint author), WU Vienna Univ Econ & Business, Dept Socioecon, Inst Multilevel Governance & Dev, Gebaude D4,Welthandelspl 1, A-1020 Vienna, Austria. EM clive.spash@wu.ac.at CR Apostolidou E, 2016, ANN RHEUM DIS, V75, P269, DOI 10.1136/annrheumdis-2014-205958 Balmford A, 2002, SCIENCE, V297, P950, DOI 10.1126/science.1073947 Bateman I., 1994, ENV EC Bienkowski Brian., 2013, SCI AM Buscher BE, 2008, CONSERV BIOL, V22, P229, DOI 10.1111/j.1523-1739.2008.00894.x Cafaro P, 2014, BIOL CONSERV, V170, P1, DOI 10.1016/j.biocon.2013.12.022 Child MF, 2009, CONSERV BIOL, V23, P241, DOI 10.1111/j.1523-1739.2009.01184.x CLARK CW, 1973, J POLIT ECON, V81, P950, DOI 10.1086/260090 COASE RH, 1960, J LAW ECON, V3, P1, DOI 10.1086/466560 Collar NJ, 2003, GLOBAL ECOL BIOGEOGR, V12, P265, DOI 10.1046/j.1466-822X.2003.00034.x Daily GC, 2000, SCIENCE, V289, P395, DOI 10.1126/science.289.5478.395 Dietz R., 2013, ENOUGH IS ENOUGH BUI Diyzek J. S., 2005, POLITICS EARTH ENV D Doak DF, 2014, TRENDS ECOL EVOL, V29, P77, DOI 10.1016/j.tree.2013.10.013 DUKE G., 2012, OPPORTUNITIES UK BUS ECRA, 2014, TURN YOUR BACK GROUS, P34 Ehrenfeld D, 1988, BIODIVERSITY, P212 Ehrenfeld D, 2008, CONSERV BIOL, V22, P1091, DOI 10.1111/j.1523-1739.2008.01049.x EMTF, 2013, REAL NAT VAL FIN REP, P47 Fellner W., 2014, ILLUSION CONSUMER SO, P37 Geary Kate, 2012, OUR LAND OUR LIVES T GNF DUH, 2014, MARK NAT CAP STAT QU, P40 Hausman DM, 2008, PHILOSOPHY OF ECONOMICS: AN ANTHOLOGY, 3RD EDITION, P226 Holland A., 2002, EC ETHICS ENV POLICY, P17 IUCN Nature Conservancy World Bank, 2005, MUCH IS EC WORTH ASS, P48 Jepson P, 2003, GLOBAL ECOL BIOGEOGR, V12, P271, DOI 10.1046/j.1466-822X.2003.00019.x Juniper T., 2012, GUARDIAN LONDON Kareiva P, 2012, CONSERVATION ANTHROP Kareiva P, 2012, BIOSCIENCE, V62, P962, DOI 10.1525/bio.2012.62.11.5 Katz E, 2014, ENVIRON VALUE, V23, P377, DOI 10.3197/096327114X13947900181554 Koch M., 2014, REAL WORLD EC REV, V67, P52 Madsen B., 2010, STATE BIODIVERSITY M, P85 Mann C., 2014, CHALLENGING FUTURES Maresova J, 2008, ECOL ECON, V64, P554, DOI 10.1016/j.ecolecon.2007.03.012 Martinez-Alier J, 1998, ECOL ECON, V26, P277, DOI 10.1016/S0921-8009(97)00120-1 Martinez-Alier J, 2002, ENV POOR STUDY ECOLO McCauley DJ, 2006, NATURE, V443, P27, DOI 10.1038/443027a Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY Mirowski P., 2013, NEVER LET SERIOUS CR Monbiot G., 2013, WHY ANDREW SELLS IS Redford KH, 2009, CONSERV BIOL, V23, P785, DOI 10.1111/j.1523-1739.2009.01271.x Revkin A. C., 2012, NY TIMES Robinson JG, 2011, BIOL CONSERV, V144, P958, DOI 10.1016/j.biocon.2010.04.017 Roe D., 2007, CLIMATE CARBON CONSE, P4 ROLSTON H, 1985, ENVIRON ETHICS, V7, P23, DOI 10.5840/enviroethics19857111 Roth RJ, 2012, GEOFORUM, V43, P363, DOI 10.1016/j.geoforum.2012.01.006 Ryan AM, 2011, J ECON PSYCHOL, V32, P674, DOI 10.1016/j.joep.2011.07.004 Sandbrook C, 2011, CONSERV BIOL, V25, P285, DOI 10.1111/j.1523-1739.2010.01592.x SEN AK, 1977, PHILOS PUBLIC AFF, V6, P317 Spash C.L., 2014, BETTER GROWTH HELPIN SPASH CL, 1994, J AGR ECON, V45, P15, DOI 10.1111/j.1477-9552.1994.tb00374.x Spash CL, 2000, ENVIRON VALUE, V9, P453, DOI 10.3197/096327100129342155 Spash CL, 2000, ENVIRON SCI TECHNOL, V34, P1433, DOI 10.1021/es990729b Spash CL, 2000, ECOL ECON, V34, P195, DOI 10.1016/S0921-8009(00)00158-0 SPASH CL, 1995, ECOL ECON, V12, P191, DOI 10.1016/0921-8009(94)00056-2 SPASH CL, 1993, J ENVIRON MANAGE, V39, P213, DOI 10.1006/jema.1993.1065 Spash CL, 2008, ENVIRON VALUE, V17, P259, DOI 10.3197/096327108X303882 Spash CL, 2008, ENVIRON PLANN C, V26, P34, DOI 10.1068/cav4 Spash CL, 2006, ECOL ECON, V60, P379, DOI 10.1016/j.ecolecon.2006.06.010 Spash CL, 2013, ECOL ECON, V93, P351, DOI 10.1016/j.ecolecon.2013.05.016 Spash CL, 2012, CAMB J ECON, V36, P1091, DOI 10.1093/cje/bes023 Spash CL, 2010, NEW POLIT ECON, V15, P169, DOI 10.1080/13563460903556049 Spash CL, 2009, ENVIRON VALUE, V18, P253, DOI 10.3197/096327109X12474739376370 Stern N., 2006, STERN REV EC CLIMATE Sullivan S., 2014, LCSV WORKING PAPER S Sullivan Sian, 2012, FINANCIALISATION BIO Swingland IR, 2003, CAPTURING CARBON CON TEEB - The Economics of Ecosystems and Biodiversity, 2010, EC EC BIOD MAINSTR E Ten Kate K., 2004, BIODIVERSITY OFFSETS UNEP Finance Initiative, 2010, DEM MAT HARDW BIOD E Vidal J., 2014, THE GUARDIAN LONDON Wynne-Jones S, 2012, GEOFORUM, V43, P1035, DOI 10.1016/j.geoforum.2012.07.008 NR 72 TC 42 Z9 44 U1 6 U2 76 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0006-3207 EI 1873-2917 J9 BIOL CONSERV JI Biol. Conserv. PD DEC PY 2015 VL 192 BP 541 EP 551 DI 10.1016/j.biocon.2015.07.037 PG 11 WC Biodiversity Conservation; Ecology; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CY6TB UT WOS:000366540600064 DA 2019-04-09 ER PT J AU Levalle, RR Nof, SY AF Levalle, Rodrigo Reyes Nof, Shimon Y. TI A resilience by teaming framework for collaborative supply networks SO COMPUTERS & INDUSTRIAL ENGINEERING LA English DT Article DE Collaborative Control Theory; Fault-Tolerance by Teaming; Sustainability; Supply Chain Management; Sensor networks ID CONCEPTUAL-FRAMEWORK; CHAIN RESILIENCE; DISRUPTION RISKS; PRODUCTION LINES; SENSOR ARRAYS; E-WORK; SYSTEMS; THROUGHPUT; KANBAN; PORTFOLIO AB Supply network resilience is an emerging concept related to the ability of a network to tolerate disruptions; current understanding of its meaning and dimensions, its role in the design and operation of supply networks, and its relation to sustainability is at its early stages. Existing approaches are based on the trade-off between increased resources and higher fault-tolerance. The Fault Tolerance by Teaming (FTT) principle of Collaborative Control Theory has been applied in sensor networks effectively and appears as a promising original approach not based on the aforementioned trade-off and capable of producing networks with higher resilience. Inspired by the FTT principle, a Resilience by Teaming Framework (RBT) for supply networks is developed to address the design and operation of resilient supply networks. RBT is tested and validated through the application of its protocols to case studies in production and distribution networks. Evidence from case studies' results suggests that through FTT-based protocols and RBT it is possible to achieve higher fault tolerance with fewer resources than under traditional approaches. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Levalle, Rodrigo Reyes] Purdue Univ, PRISM Ctr, W Lafayette, IN 47907 USA. Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA. RP Levalle, RR (reprint author), Purdue Univ, PRISM Ctr, 315 North Grant St, W Lafayette, IN 47907 USA. EM rodrigo.reyeslevalle@gmail.com; nof@purdue.edu FU Production, Robotics, and Integration Software for Manufacturing & Management (PRISM) Center at Purdue University; Kimberly-Clark Latin American Operations FX This research has been developed with partial support from the Production, Robotics, and Integration Software for Manufacturing & Management (PRISM) Center at Purdue University and Kimberly-Clark Latin American Operations. CR Andijani A, 1997, INT J OPER PROD MAN, V17, P429, DOI 10.1108/01443579710167186 Assaf R., 2013, OR SPECTRUM, V36, P799 Bhamra R, 2011, INT J PROD RES, V49, P5375, DOI 10.1080/00207543.2011.563826 Blumenfeld DE, 2005, MATH PROBL ENG, P293, DOI 10.1155/MPE.2005.293 Burnard K, 2011, INT J PROD RES, V49, P5581, DOI 10.1080/00207543.2011.563827 Christopher M., 2004, INT J LOGIST MANAG, V15, P1, DOI [DOI 10.1108/09574090410700275, 10.1108/09574090410700275] Crainic TG, 1997, EUR J OPER RES, V97, P409, DOI 10.1016/S0377-2217(96)00298-6 Demir L., 2012, J INTELL MANUF, V25, P371, DOI DOI 10.1007/S10845012-06879 Duenyas I, 1998, IIE TRANS, V30, P31, DOI 10.1080/07408179808966435 Eksioglu B, 2009, COMPUT IND ENG, V57, P1472, DOI 10.1016/j.cie.2009.05.009 Federgruen A, 2008, OPER RES, V56, P916, DOI 10.1287/opre.1080.0551 Fiskel J., 2006, SUSTAINABILITY SCI P, V2, P14, DOI DOI 10.1109/EMR.2007.4296420 Gershwin SB, 2000, ANN OPER RES, V93, P117, DOI 10.1023/A:1018988226612 Gullu R, 1998, EUR J OPER RES, V105, P43, DOI 10.1016/S0377-2217(97)00037-4 Gunderson L. H., 2002, PANARCHY UNDERSTANDI Jackson S, 2013, SYSTEMS ENG, V16, P152, DOI 10.1002/sys.21228 Jeong W, 2009, COMPUT IND ENG, V57, P106, DOI 10.1016/j.cie.2008.11.007 Klibi W, 2012, INT J PROD ECON, V135, P882, DOI 10.1016/j.ijpe.2011.10.028 Lage M, 2010, INT J PROD ECON, V125, P13, DOI 10.1016/j.ijpe.2010.01.009 Levalle RR, 2015, INT J PROD ECON, V160, P80, DOI 10.1016/j.ijpe.2014.09.036 Levalle RR, 2013, INT J PROD RES, V51, P7289, DOI 10.1080/00207543.2013.778435 Limnios EAM, 2014, EUR MANAG J, V32, P104, DOI 10.1016/j.emj.2012.11.007 Liu Y, 2004, INT J PROD RES, V42, P3101, DOI 10.1080/00207540410001699363 Liu Y, 2008, COMPUT IND ENG, V54, P634, DOI 10.1016/j.cie.2007.09.013 Ma YH, 2004, CIRP ANN-MANUF TECHN, V53, P361, DOI 10.1016/S0007-8506(07)60717-3 Magazine MJ, 1996, PERFORM EVALUATION, V25, P211, DOI 10.1016/0166-5316(95)00005-4 MEESTER LE, 1990, ADV APPL PROBAB, V22, P764, DOI 10.2307/1427472 MIGLIORE M, 1990, J COMPUT PHYS, V87, P231, DOI 10.1016/0021-9991(90)90235-S Nof SY, 2007, ANNU REV CONTROL, V31, P281, DOI 10.1016/j.arcontrol.2007.08.002 Nof SY, 2003, PROD PLAN CONTROL, V14, P681, DOI 10.1080/09537280310001647832 Parvaresh F., 2012, J INTELLIGENT MANUFA Paternina-Arboleda CD, 2001, IIE TRANS, V33, P65, DOI 10.1080/07408170108936807 Paterson C, 2011, EUR J OPER RES, V210, P125, DOI 10.1016/j.ejor.2010.05.048 Pettit TJ, 2010, J BUS LOGIST, V31, P1, DOI 10.1002/j.2158-1592.2010.tb00125.x Pillac V, 2013, EUR J OPER RES, V225, P1, DOI 10.1016/j.ejor.2012.08.015 Ponomarov SY, 2009, INT J LOGIST MANAG, V20, P124, DOI 10.1108/09574090910954873 Savsar M, 1996, INT J PROD RES, V34, P2879, DOI 10.1080/00207549608905064 Sawik T, 2013, OMEGA-INT J MANAGE S, V41, P259, DOI 10.1016/j.omega.2012.05.003 Sawik T, 2011, COMPUT OPER RES, V38, P782, DOI 10.1016/j.cor.2010.09.011 Sendil Kumar C., 2006, INT J ADV MANUF TECH, V32, P393 Sheffi Y, 2005, MIT SLOAN MANAGE REV, V47, P41 Shenas N Yazdan, 2009, Journal of Applied Sciences, V9, P789, DOI 10.3923/jas.2009.789.793 Smith P, 2011, IEEE COMMUN MAG, V49, P88, DOI 10.1109/MCOM.2011.5936160 SPEARMAN ML, 1990, INT J PROD RES, V28, P879, DOI 10.1080/00207549008942761 Sterbenz JPG, 2013, TELECOMMUN SYST, V52, P705, DOI 10.1007/s11235-011-9573-6 Sterbenz JPG, 2010, COMPUT NETW, V54, P1245, DOI 10.1016/j.comnet.2010.03.005 SUGIMORI Y, 1977, INT J PROD RES, V15, P553, DOI 10.1080/00207547708943149 Tang C, 2008, INT J PROD ECON, V116, P12, DOI 10.1016/j.ijpe.2008.07.008 TANSEL BC, 1983, MANAGE SCI, V29, P498, DOI 10.1287/mnsc.29.4.498 TANSEL BC, 1983, MANAGE SCI, V29, P482, DOI 10.1287/mnsc.29.4.482 Thomas DJ, 2006, TRANSPORT RES E-LOG, V42, P245, DOI 10.1016/j.tre.2004.11.002 Tomlin B, 2006, MANAGE SCI, V52, P639, DOI 10.1287/mnsc.11060.0515 Velasquez JD, 2009, SPRINGER HANDBOOK OF AUTOMATION, P1549, DOI 10.1007/978-3-540-78831-7_88 Yang R. L., 2006, SETTING REAL TIME WI, V1 Yoon SW, 2010, DECIS SUPPORT SYST, V49, P442, DOI 10.1016/j.dss.2010.05.005 NR 55 TC 9 Z9 9 U1 1 U2 19 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0360-8352 EI 1879-0550 J9 COMPUT IND ENG JI Comput. Ind. Eng. PD DEC PY 2015 VL 90 BP 67 EP 85 DI 10.1016/j.cie.2015.08.017 PG 19 WC Computer Science, Interdisciplinary Applications; Engineering, Industrial SC Computer Science; Engineering GA CY2IY UT WOS:000366233400007 DA 2019-04-09 ER PT J AU Holt, AR Mears, M Maltby, L Warren, P AF Holt, Alison R. Mears, Meghann Maltby, Lorraine Warren, Philip TI Understanding spatial patterns in the production of multiple urban ecosystem services SO ECOSYSTEM SERVICES LA English DT Article DE Ecosystem services; Mapping; Spatial pattern; Urbanisation; Urban greenspace; Urban planning ID GASEOUS DRY DEPOSITION; GREEN INFRASTRUCTURE; DECISION-MAKING; LAND-USE; BIODIVERSITY; SUPPORT; CITIES; AREAS; UK; CLASSIFICATION AB Urbanisation is a key driver of land use change and urban growth is set to continue. The provision of ecosystem services depends on the existence of greenspace. Urban morphology is potentially an important influence on ecosystem services. Therefore, it may be possible to promote service provision through an urban structure that supplies the processes and functions that underpin them. However, an understanding of the ability of urban areas to produce multiple ecosystem services, and the spatial pattern of their production, is required. We demonstrate an approach using easily accessible data, to generate maps of key urban ecosystem services for a case study city of Sheffield, UK. Urban greenspace with a mixture of land covers allowed areas of high production of multiple services in the city centre and edges. But crucially the detection of such 'hotspots' depended on the spatial resolution of the mapping unit. This shows there is potential to design cities to promote hotspots of production. We discuss how land cover type, its spatial location and how this relates to different suites of services, is key to promoting urban multifunctionality. Detecting trade-offs and synergies associated with particular urban designs will enable more informed decisions for achieving urban sustainability. (C) 2015 The Authors. Published by Elsevier B.V. C1 [Holt, Alison R.; Mears, Meghann; Maltby, Lorraine; Warren, Philip] Univ Sheffield, Dept Anim & Plant Sci, Sheffield S10 2TN, S Yorkshire, England. RP Holt, AR (reprint author), Univ Sheffield, Dept Anim & Plant Sci, Sheffield S10 2TN, S Yorkshire, England. EM a.holt@sheffield.ac.uk RI Maltby, Lorraine/A-6702-2012 OI Maltby, Lorraine/0000-0003-3817-4033 FU White Rose Network Research Studentship from the Universities of Sheffield, York; Leeds, a NERC Knowledge Exchange Fellowship [NE/J500483/1]; NERC BESS project [NE/J015369/1]; Natural Environment Research Council [NE/J015369/1, NE/J015067/1] FX This work was funded by a White Rose Network Research Studentship from the Universities of Sheffield, York and Leeds, a NERC Knowledge Exchange Fellowship NE/J500483/1 and by a NERC BESS project NE/J015369/1. CR Anderson BJ, 2009, J APPL ECOL, V46, P888, DOI 10.1111/j.1365-2664.2009.01666.x Andersson E, 2014, AMBIO, V43, P445, DOI 10.1007/s13280-014-0506-y Bastian O, 2012, ECOL INDIC, V21, P7, DOI 10.1016/j.ecolind.2011.03.014 Beer A.R., 2003, GREENSTRUCTURE URBAN Bierwagen BG, 2005, ENVIRON PLANN B, V32, P763, DOI 10.1068/b31134 Bolger DT, 2000, ECOL APPL, V10, P1230, DOI 10.1890/1051-0761(2000)010[1230:AIUHFI]2.0.CO;2 Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0 Booth D.B., 2006, DAMAGES COSTS STORM Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019 Byrne LB, 2008, ECOSYSTEMS, V11, P1065, DOI 10.1007/s10021-008-9179-3 Cameron RWF, 2012, URBAN FOR URBAN GREE, V11, P129, DOI 10.1016/j.ufug.2012.01.002 Cardinale BJ, 2012, NATURE, V486, P59, DOI 10.1038/nature11148 Chan K.M.A., 2006, PLOS BIOL, V11, pe379 Cranfield University, 2009, LANDIS LAND INF SYST Crooks KR, 2002, CONSERV BIOL, V16, P488, DOI 10.1046/j.1523-1739.2002.00386.x Crossman ND, 2013, ECOSYST SERV, V4, P4, DOI 10.1016/j.ecoser.2013.02.001 Cruickshank MM, 2000, J ENVIRON MANAGE, V58, P269, DOI 10.1006/jema.2000.0330 Dallimer M, 2012, BIOSCIENCE, V62, P47, DOI 10.1525/bio.2012.62.1.9 Davies Richard G., 2008, Urban Ecosystems, V11, P269, DOI 10.1007/s11252-008-0062-y de Groot RS, 2010, ECOL COMPLEX, V7, P260, DOI 10.1016/j.ecocom.2009.10.006 Edmondson J., 2012, SCI REP, V2, P936 Eigenbrod F, 2010, J APPL ECOL, V47, P377, DOI 10.1111/j.1365-2664.2010.01777.x Elleker A., 2009, AIR QUALITY UPDATING Fine D., 2003, HIST GUIDE SHEFFIELD Fuller RA, 2008, DIVERS DISTRIB, V14, P131, DOI 10.1111/j.1472-4642.2007.00439.x Gill S., 2006, THESIS Gomez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019 Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195 Haase D, 2014, AMBIO, V43, P413, DOI 10.1007/s13280-014-0504-0 Haase D, 2012, ECOL SOC, V17, DOI 10.5751/ES-04853-170322 Handley J., 2003, ENGLISH NATURE RES R, V526 HM Government, 2011, NAT CHOIC SEC VAL NA HOLM S, 1979, SCAND J STAT, V6, P65 Jandl R, 2007, GEODERMA, V137, P253, DOI 10.1016/j.geoderma.2006.09.003 Kline J, 2006, SOC NATUR RESOUR, V19, P645, DOI 10.1080/08941920600742419 Kopperoinen L, 2014, LANDSCAPE ECOL, V29, P1361, DOI 10.1007/s10980-014-0014-2 Koschke L, 2012, ECOL INDIC, V21, P54, DOI 10.1016/j.ecolind.2011.12.010 Kroll F, 2012, LAND USE POLICY, V29, P521, DOI 10.1016/j.landusepol.2011.07.008 Lin BB, 2013, J APPL ECOL, V50, P1161, DOI 10.1111/1365-2664.12118 Loram A, 2008, ENVIRON MANAGE, V42, P361, DOI 10.1007/s00267-008-9097-3 Lovatt R., 2007, DEV SHEFFIELD POPULA Mace GM, 2012, TRENDS ECOL EVOL, V27, P19, DOI 10.1016/j.tree.2011.08.006 Maes J, 2012, ECOSYST SERV, V1, P31, DOI 10.1016/j.ecoser.2012.06.004 Matzarakis A, 1999, INT J BIOMETEOROL, V43, P76, DOI 10.1007/s004840050119 McGarigal K., 2002, FRAGSTATS SPATIAL PA McKinney ML, 2006, BIOL CONSERV, V127, P247, DOI 10.1016/j.biocon.2005.09.005 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING Naidoo R, 2008, P NATL ACAD SCI USA, V105, P9495, DOI 10.1073/pnas.0707823105 Niemela J, 2010, BIODIVERS CONSERV, V19, P3225, DOI 10.1007/s10531-010-9888-8 Office for National Statistics, 2004, CENS 2001 OA BOUND E Office of National Statistics, 2007, CENS GEOGR Ordnance Survey, 2008, TECHNICAL REPORT Pouyat RV, 2006, J ENVIRON QUAL, V35, P1566, DOI 10.2134/jeq2005.0215 R Development Core Team, 2011, R LANG ENV STAT COMP Radford KG, 2013, LANDSCAPE URBAN PLAN, V109, P117, DOI 10.1016/j.landurbplan.2012.10.007 Raudsepp-Hearne C, 2010, P NATL ACAD SCI USA, V107, P5242, DOI 10.1073/pnas.0907284107 Schneider A, 2012, ECOSYSTEMS, V15, P519, DOI 10.1007/s10021-012-9519-1 Seppelt R, 2011, J APPL ECOL, V48, P630, DOI 10.1111/j.1365-2664.2010.01952.x Sheffield City Council, 2008, AIR QUAL PROGR REP A Sheffield City Council, 2008, DET ASS PM10 South Yorkshire Archaeology Service, 2005, S YORKSH HIST ENV CH Tratalos J, 2007, LANDSCAPE URBAN PLAN, V83, P308, DOI 10.1016/j.landurbplan.2007.05.003 TSO CP, 1991, J APPL METEOROL, V30, P413, DOI 10.1175/1520-0450(1991)030<0413:ASTTNN>2.0.CO;2 Tzoulas K, 2007, LANDSCAPE URBAN PLAN, V81, P167, DOI 10.1016/j.landurbplan.2007.02.001 UK NEA (The UK National Ecosystem Assessment), 2011, UK NATL ECOSYSTEM AS USDA-NRCS, 1986, TR55 USRANRCS CONS E Vickers D, 2007, J ROY STAT SOC A STA, V170, P379, DOI 10.1111/j.1467-985X.2007.00466.x Vorstius AC, 2015, ECOSYST SERV, V15, P75, DOI 10.1016/j.ecoser.2015.07.007 Wallace KJ, 2007, BIOL CONSERV, V139, P235, DOI 10.1016/j.biocon.2007.07.015 Whitford V, 2001, LANDSCAPE URBAN PLAN, V57, P91, DOI 10.1016/S0169-2046(01)00192-X Zhang L, 2003, ATMOS CHEM PHYS, V3, P2067, DOI 10.5194/acp-3-2067-2003 Zhang LM, 2002, ATMOS ENVIRON, V36, P537, DOI 10.1016/S1352-2310(01)00447-2 Zhang LM, 2001, ATMOS ENVIRON, V35, P549, DOI 10.1016/S1352-2310(00)00326-5 NR 73 TC 23 Z9 23 U1 1 U2 79 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2212-0416 J9 ECOSYST SERV JI Ecosyst. Serv. PD DEC PY 2015 VL 16 BP 33 EP 46 DI 10.1016/j.ecoser.2015.08.007 PG 14 WC Ecology; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA CY7HA UT WOS:000366578000004 OA Other Gold, Green Published DA 2019-04-09 ER PT J AU Barau, AS Stringer, LC AF Barau, Aliyu Salisu Stringer, Lindsay C. TI Access to and allocation of ecosystem services in Malaysia's Pulau Kukup Ramsar Site SO ECOSYSTEM SERVICES LA English DT Article DE Wetlands; Local community; Resource regimes; Intergovernmental; Trade-offs ID EARTH SYSTEM GOVERNANCE; MANAGEMENT; WETLANDS AB This paper explores how the Ramsar Convention, a key multilateral environmental agreement for the world's wetlands, influences the allocation and use of ecosystem goods and services. Focusing on the world's second largest uninhabited mangrove island, Pulau Kukup, this study illustrates the social and ecological risks and opportunities surrounding protected wetlands. Interviews with, and observations of, nearby communities reveal that Pulau Kukup has continued to render regulatory, cultural, provisioning and supporting ecosystem services under different governance regimes and institutional arrangements. Under the current governance regime, national conservation agencies focus largely on conservation and have struggled to implement the principles of wise use as specified by the Ramsar Convention. Nevertheless, such strict local (formal) conservation rules restricting public access have improved the ecological integrity of the mangrove island, with little negative impact on the locals. While restrictions in access may be seen as a trade-off for local communities wishing to pursue cultural activities, tourism linked to the island's Ramsar designation has boosted the local economy. Despite these benefits, changes in property rights and growing influxes of tourists visiting the protected wetland may affect the long-term ecological integrity and the balance between wetlands, communities, livelihood options, and sustainability. Such challenges demand governance that recognises and responds to these emerging issues. (C) 2015 Elsevier B.V. All rights reserved. C1 [Barau, Aliyu Salisu] Bayero Univ, Fac Earth & Environm Sci, Dept Urban & Reg Planning, Kano, Nigeria. [Stringer, Lindsay C.] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England. RP Barau, AS (reprint author), Bayero Univ, Fac Earth & Environm Sci, Dept Urban & Reg Planning, PMB 3011, Kano, Nigeria. EM aliyubarau1@yahoo.com; l.stringer@leends.ac.uk OI Barau, Aliyu Salisu/0000-0002-1259-3929; Stringer, Lindsay/0000-0003-0017-1654 FU Economic and Social Research Council [ES/K006576/1] CR ABER J.S., 2012, WETLAND ENV GLOBAL P Aminu M, 2013, ENVIRON EARTH SCI, V70, P1113, DOI 10.1007/s12665-012-2198-6 Asian Development Bank, 2014, STAT COR TRIANGL Ayre M, 2015, ENVIRON SCI POLICY, V47, P18, DOI 10.1016/j.envsci.2014.10.011 Azlan N., 2009, P GIS OSR MAL Barbier EB, 2011, HYDROLOG SCI J, V56, P1360, DOI 10.1080/02626667.2011.629787 Barrot S., 2015, TRENDS ECOL EVOL, V30 Benerjee S., 2013, MARCH MEGACITY GOVER Biermann F., 2013, COMMUNICATION Biermann F, 2012, ECOL ECON, V81, P4, DOI 10.1016/j.ecolecon.2012.02.016 Biermann F, 2010, INT ENVIRON AGREEM-P, V10, P277, DOI 10.1007/s10784-010-9137-3 Biermann F, 2009, INT ENVIRON AGREEM-P, V9, P351, DOI 10.1007/s10784-009-9111-0 BIRDLIFE INTERNATIONAL, 2014, IMP BIRD AR FACTSH S Braat LC, 2012, ECOSYST SERV, V1, P1, DOI 10.1016/j.ecoser.2012.07.007 Brink P, 2013, EC ECOSYSTEMS BIODIV Cheang M., 2003, STAR ONLINE *CONV BIOL DIV, 2006, GLOB BIOD OUTL 2 Courchamp F, 2015, TRENDS ECOL EVOL, V30, P370, DOI 10.1016/j.tree.2015.05.003 DeWalt K. M, 1998, HDB METHODS CULTURAL Diaz, 2015, CURRENT OPINION ENV, V14, P1 Diego-McGlone M.L.S., 2005, COASTAL FLUXES ANTHR Farrier D, 2000, J ENVIRON LAW, V12, P21, DOI 10.1093/jel/12.1.21 Fletcher S, 2011, MAR POLLUT BULL, V62, P956, DOI 10.1016/j.marpolbul.2011.02.048 Gajendragadkar P.R., 2013, BMJ-BRIT MED J, V347, P7198, DOI DOI 10.1136/BMJ.F7198 Giesen W., 2007, MANGROVE GUIDEBOOK S Gomez-Baggethun E, 2013, SOC NATUR RESOUR, V26, P1202, DOI 10.1080/08941920.2013.820817 Griffin P., 2012, RES PAPER SERIES Guerry AD, 2015, P NATL ACAD SCI USA, V112, P7348, DOI 10.1073/pnas.1503751112 Gupta J., 2010, INT ENVIRON AGREEM-P, V10, P4 Hampton MP, 2010, SINGAPORE J TROP GEO, V31, P239, DOI 10.1111/j.1467-9493.2010.00393.x Hassan A.S., 2010, ARAB WORLD GEOGR, V13, P93 Higgins V, 2014, J RURAL STUD, V36, P463, DOI 10.1016/j.jrurstud.2014.10.003 Horowitz LS, 2013, ENVIRON PLANN A, V45, P2344, DOI 10.1068/a45591 Iarossi G, 2006, POWER OF SURVEY DESIGN: A USER'S GUIDE FOR MANAGING SURVEYS, INTERPRETING RESULTS, AND INFLUENCING RESPONDENTS, P1, DOI 10.1596/978-0-8213-6392-8 Jaafar SA, 2014, MAR POLLUT BULL, V84, P35, DOI 10.1016/j.marpolbul.2014.05.047 Jax K, 2013, ECOL ECON, V93, P260, DOI 10.1016/j.ecolecon.2013.06.008 Joshi G., 2012, THESIS JUSOFF K., 2008, J SUSTAINABLE DEV, V1, P88 Kalfagianni A, 2013, MAR POLICY, V38, P124, DOI 10.1016/j.marpol.2012.05.028 Kantor M., 2013, THESIS Latiff A., 2014, MANGROVE ECOSYSTEMS Lim HC, 2014, HARMFUL ALGAE, V40, P51, DOI 10.1016/j.hal.2014.10.005 Lim Kim Seng, 2012, BirdingASIA, V17, P81 Maes J, 2012, ECOSYST SERV, V1, P31, DOI 10.1016/j.ecoser.2012.06.004 Maniam A., 2015, INT J SOC SCI HUMANI, V5, P22 Michel S., 2015, CULTIVATED SEA FISHI Ministry of Natural Resources and Environment, 2014, 5 MNRE Moore P., 2013, REV STATUTORY CUSTOM Naeem S., 2015, SCIENCE, V34, P1206 Ngidang D, 2005, SE ASIA STUD, V43, P47 Orchard S.E., 2015, REG ENV CHANG Paavola J, 2013, ECOL SOC, V18, DOI 10.5751/ES-06019-180442 Quinn Patton M., 2002, QUALITATIVE RES EVAL Ramsar Convention, 1971, RAMS CONV WETL INT I Ruiz AG, 2011, ENVIRON PLANN C, V29, P990, DOI 10.1068/c10144 Sanmargaraja S., 2013, INT J ADV MANAG TECH, V2, P9 Schroeder H, 2014, GLOBAL ENVIRON CHANG, V26, pA1, DOI 10.1016/j.gloenvcha.2014.04.017 Schuyt K., 2004, EC VALUES WORLDS WET Secretariat of the Ramsar Convention on Wetlands & World Tourism Organization, 2012, DEST WETL SUPP SUST Tachimoto N.M., 1994, SE ASIAN STUDIES, V32, P197 Wan Juliana W. A., 2014, MANGROVE ECOSYSTEMS Wetlands International, 2007, RAMS SIT MAL Xanthaki A., 2003, MELBOURNE J INT LAW, V4, P467 Yahaya J., 2003, 20032 FAC EC ADM NR 64 TC 4 Z9 4 U1 3 U2 26 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2212-0416 J9 ECOSYST SERV JI Ecosyst. Serv. PD DEC PY 2015 VL 16 BP 167 EP 173 DI 10.1016/j.ecoser.2015.10.021 PG 7 WC Ecology; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA CY7HA UT WOS:000366578000018 DA 2019-04-09 ER PT J AU Spangenberg, JH Gorg, C Settele, J AF Spangenberg, Joachim H. Goerg, Christoph Settele, Josef TI Stakeholder involvement in ESS research and governance: Between conceptual ambition and practical experiences - risks, challenges and tested tools SO ECOSYSTEM SERVICES LA English DT Article DE Ecosystem services; Research process; Stakeholders; Participation; Governance; Co-design/co-production ID POST-NORMAL SCIENCE; ECOSYSTEM SERVICES; BIODIVERSITY CONSERVATION; SUSTAINABILITY SCIENCE; ECOLOGICAL ECONOMICS; DECISION-MAKING; BOUNDARY OBJECT; TRADE-OFFS; VALUATION; MANAGEMENT AB Conceptually, stakeholder participation in the governance of ecosystem services (ESS) is necessary for several reasons, some of them well-known for sustainability governance in general but some more specific for ecosystem services. In particular the failure of monetary valuation to provide meaningful valuation instruments requires participation of a representative diversity of stakeholders in ESS research and governance to answer the question what people value, and how. Building upon experience from transdisciplinary research projects in Asia, Africa and Europe, we argue that successful participation depends on the specific socio-cultural context and requires different means and modes of participation during different project phases. We list a variety of tested methods, with reference to the pros and cons each of them has. The challenges we describe are structured according to theoretical concepts, but not derived from them but from project experience. They are formidable, both conceptually and empirically, but with good project coordination such difficulties can be anticipated and handled. The paper first outlines the specific challenges of ESS assessment and valuation in inter- and transdisciplinary research, arguing in Section 1 that the failure of internalisation requires participation as value attributing mechanism. Section 2 describes challenges experienced with participation in research design and implementation; the latter links to Section 3 which draws lessons for ESS governance strategies. Section 4 presents some lessons learned for future ESS research and governance. (C) 2015 Elsevier B.V. All rights reserved. C1 [Spangenberg, Joachim H.; Settele, Josef] UFZ Helmholtz Ctr Environm Res, Dept Community Ecol, Halle, Germany. [Goerg, Christoph] UFZ Helmholtz Ctr Environm Res, Dept Environm Polit, Leipzig, Germany. [Spangenberg, Joachim H.] SERI Germany, D-51103 Cologne, Germany. [Goerg, Christoph] Univ Klagenfurt, Inst Social Ecol, IFF Fac Interdisciplinary Res & Educ, Vienna, Austria. [Settele, Josef] iDiv German Ctr Integrat Biodivers Res, Halle, Germany. RP Spangenberg, JH (reprint author), SERI Germany, Vorsterstr 97-99, D-51103 Cologne, Germany. EM Joachim.Spangenbeyg@ufz.de RI iDiv, Deutsches Zentrum/B-5164-2016; Gorg, Christoph/K-2935-2017; Settele, Josef/A-6371-2009 OI Gorg, Christoph/0000-0001-7031-1056; Settele, Josef/0000-0002-8624-4983; Vienna, Social Ecology/0000-0003-1345-5461 FU "LEGATO" (German Ministry for Education and Research) [FKZ01LL0917A-01LL0917O]; "EO-Miners" (EU FP 7 research Grant) [244242]; "APPEAL" (funded by BiodivERsA) [01LC1102A]; "EJOLT" (EU FP7 Science in Society) [266642]; "ENRI" (ESF European Science Foundation); "DEEDS" (EU Leonardo da Vinci Programme) [DK/06/B/F/PP-145612'DK/06/B/F/PP-145612]; "SUSTRAT" (EU FP5, IHDP) [HPSE-CT-2002-50019HPSE-CT-2002-50019]; FP 6 Integrated Project "ALARM" [GOCE-CT-2003-506675] FX This paper benefitted from the exchange with our colleagues in transdisciplinary research projects over the last 20 years, in particular the FP 6 Integrated Project "ALARM" (GOCE-CT-2003-506675, 2003-2008), "LEGATO" (German Ministry for Education and Research, research Grant no. FKZ01LL0917A-01LL0917O, 2010-2016), "EO-Miners" (EU FP 7 research Grant agreement no. 244242, 2009-2013), "APPEAL" (funded by BiodivERsA 2011-33, Grant 01LC1102A, 2011-2015), "EJOLT" (EU FP7 Science in Society Grant agreement no. 266642, 2011-2015), "ENRI" (ESF European Science Foundation funded, 2011-2015), "DEEDS" (EU Leonardo da Vinci Programme funded, 2005-2008) (Contract no. DK/06/B/F/PP-145612'DK/06/B/F/PP-145612), "SUSTRAT" (EU FP5 funded, IHDP endorsed, 2002-2006) (Contract no. HPSE-CT-2002-50019HPSE-CT-2002-50019).None of the funders was involved in data analysis and interpretation, or in the preparation of this article in any way. CR Abson DJ, 2014, ECOL ECON, V103, P29, DOI 10.1016/j.ecolecon.2014.04.012 Albert C, 2014, LANDSCAPE ECOL, V29, P1301, DOI 10.1007/s10980-014-9990-5 Aslaksen Iulie, 2013, International Journal of Sustainable Development, V16, P107, DOI 10.1504/IJSD.2013.053793 Avci D, 2010, ECOL ECON, V70, P228, DOI 10.1016/j.ecolecon.2010.05.009 Barkmann J, 2008, ECOL ECON, V65, P48, DOI 10.1016/j.ecolecon.2007.12.002 Bateman IJ, 2006, ECOL ECON, V60, P450, DOI 10.1016/j.ecolecon.2006.04.003 Baumol W. J., 1952, WELFARE EC THEORY ST BAUMOL WJ, 1971, SWED J ECON, V73, P42, DOI 10.2307/3439132 Blackstock KL, 2007, ECOL ECON, V60, P726, DOI 10.1016/j.ecolecon.2006.05.014 Brandt P, 2013, ECOL ECON, V92, P1, DOI 10.1016/j.ecolecon.2013.04.008 Chan KMA, 2012, BIOSCIENCE, V62, P744, DOI 10.1525/bio.2012.62.8.7 Chan KMA, 2012, ECOL ECON, V74, P8, DOI 10.1016/j.ecolecon.2011.11.011 Christie M, 2012, ECOSYST SERV, V1, P70, DOI 10.1016/j.ecoser.2012.07.004 COASE RH, 1960, J LAW ECON, V3, P1, DOI 10.1086/466560 Cordoba R., 2011, PRINCIPLES IN PRESS Costanza R, 1997, NATURE, V387, P253, DOI 10.1038/387253a0 Costanza R, 2002, ECOL ECON, V41, P367, DOI 10.1016/S0921-8009(02)00087-3 DAILY GC, 1997, NATURE SERVICES SOC Daily GC, 2011, NATURAL CAPITAL: THEORY & PRACTICE OF MAPPING ECOSYSTEM SERVICES, P3 Daw TM, 2015, P NATL ACAD SCI USA, V112, P6949, DOI 10.1073/pnas.1414900112 de Groot R, 2012, ECOSYST SERV, V1, P50, DOI 10.1016/j.ecoser.2012.07.005 de Oliveira LEC, 2014, ECOL ECON, V107, P114, DOI 10.1016/j.ecolecon.2014.08.008 Diaz S., 2015, PLOS BIOL, V13, P1 Durham E., 2014, BIODIVERSA STAKEHOLD Eberhard Falck W, 2015, URANIUM FUTURE CHALL, P79 Ecological Economics, 1998, ECOL EC, V25, P1 Ehrlich P, 1981, EXTINCTION CAUSES CO Escalada M., 1999, J APPL COMMUN, V83, P7 Escalada MM, 2004, CROP PROT, V23, P11, DOI 10.1016/S0261-2194(03)00161-3 Escalada MM, 2012, BIODIVERSITY INSECT, P199 Falck WE, 2014, J CLEAN PROD, V84, P193, DOI 10.1016/j.jclepro.2014.02.021 Farber SC, 2002, ECOL ECON, V41, P375, DOI 10.1016/S0921-8009(02)00088-5 Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014 Forster J, 2015, ECOL SOC, V20, DOI 10.5751/ES-07804-200331 FUNTOWICZ SO, 1994, ECOL ECON, V10, P197, DOI 10.1016/0921-8009(94)90108-2 Gallai N, 2009, ECOL ECON, V68, P810, DOI 10.1016/j.ecolecon.2008.06.014 Gorg C, 2014, INTERDISCIPL SCI REV, V39, P323, DOI 10.1179/0308018814Z.00000000095 Gorg C., 2015, OKOSYSTEMDI IN PRESS Hadorn GH, 2006, ECOL ECON, V60, P119, DOI 10.1016/j.ecolecon.2005.12.002 Hansjurgens B., 2011, W BAUMOLS MARKTTHEOR, P107 Harremoes P., 2001, LAT LESS EARL WARN P Harrington R, 2010, BIODIVERS CONSERV, V19, P2773, DOI 10.1007/s10531-010-9834-9 Hauck J, 2013, ENVIRON SCI POLICY, V25, P13, DOI 10.1016/j.envsci.2012.08.001 Hertz T, 2015, ECOL ECON, V116, P12, DOI 10.1016/j.ecolecon.2015.03.022 Hodder Kathy H., 2014, International Journal of Biodiversity Science Ecosystem Services & Management, V10, P71, DOI 10.1080/21513732.2014.883430 Jahn T, 2012, ECOL ECON, V79, P1, DOI 10.1016/j.ecolecon.2012.04.017 Kumar P, 2010, EC ECOSYSTEMS BIODIV Laurans Y, 2014, ECOSYST SERV, V7, P98, DOI 10.1016/j.ecoser.2013.10.002 Andres SM, 2012, ECOSYST SERV, V1, P101, DOI 10.1016/j.ecoser.2012.07.003 Martin-Lopez B., 2012, PLOS ONE, V7, P1 Mayumi K, 2006, ECOL ECON, V57, P382, DOI 10.1016/j.ecolecon.2005.04.023 McShane TO, 2011, BIOL CONSERV, V144, P966, DOI 10.1016/j.biocon.2010.04.038 MEA Millennium Ecosystem Assessment, 2005, SYNTH REP EC HUM WEL Mollinga PP, 2010, CROP SCI, V50, pS1, DOI 10.2135/cropsci2009.10.0570 Nauen C.E., 2006, INCREASING IMPACTOF Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023 Norgaard RB, 2010, ECOL ECON, V69, P1219, DOI 10.1016/j.ecolecon.2009.11.009 O'Connor M, 2008, J CLEAN PROD, V16, P1399, DOI 10.1016/j.jclepro.2007.08.005 OECD(Organisation for Economic Cooperation and Development), 2002, HDB BIOD VAL GUID PO Palacios-Agundez I., 2014, LANDSCAPE ECOL, P1 Pigou A. C, 1920, EC WELFARE Pohl C, 2008, NATURES SCIENCES SOC, V16, P111, DOI DOI 10.1051/NSS:2008035 Polasky S, 2012, OXFORD REV ECON POL, V28, P139, DOI 10.1093/oxrep/grs011 Potschin MB, 2011, PROG PHYS GEOG, V35, P575, DOI 10.1177/0309133311423172 Pretty J, 2011, ENVIRON CONSERV, V38, P127, DOI 10.1017/S0376892910000937 Priess JA, 2014, ECOL SOC, V19, DOI 10.5751/ES-06168-190112 ProClim, 1997, RES SUST GLOB CHANG Rabelt V., 2004, OKOLOGISCHES WIRTSCH, V2004, P24 Raudsepp-Hearne C, 2010, BIOSCIENCE, V60, P576, DOI 10.1525/bio.2010.60.8.4 Ravera F, 2011, ENVIRON POLICY GOV, V21, P433, DOI 10.1002/eet.585 Reed MS, 2014, J ENVIRON MANAGE, V146, P337, DOI 10.1016/j.jenvman.2014.07.021 Ruckelshaus M, 2015, ECOL ECON, V115, P11, DOI 10.1016/j.ecolecon.2013.07.009 Spangenberg J.H., 2014, 7 ANN ESP C 2014 LOC Spangenberg JH, 2014, ECOL ECON, V104, P22, DOI 10.1016/j.ecolecon.2014.04.025 Spangenberg Joachim H., 2014, International Journal of Biodiversity Science Ecosystem Services & Management, V10, P40, DOI 10.1080/21513732.2014.884166 Spangenberg JH, 2011, ENVIRON CONSERV, V38, P275, DOI 10.1017/S0376892911000270 Stirling A, 2008, SCI TECHNOL HUM VAL, V33, P262, DOI 10.1177/0162243907311265 von Haaren Christina, 2011, International Journal of Biodiversity Science Ecosystem Services & Management, V7, P150, DOI 10.1080/21513732.2011.616534 WBCSD World Business Council for Sustainable Development, 2013, ECO4BIZ EC SERV BIOD Westphal C, 2015, BASIC APPL IN PRESS Wiek A, 2012, SUSTAIN SCI, V7, P1, DOI 10.1007/s11625-011-0154-0 Wittmer H, 2012, EC ECOSYSTEMS BIODIV NR 82 TC 20 Z9 20 U1 0 U2 27 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2212-0416 J9 ECOSYST SERV JI Ecosyst. Serv. PD DEC PY 2015 VL 16 BP 201 EP 211 DI 10.1016/j.ecoser.2015.10.006 PG 11 WC Ecology; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA CY7HA UT WOS:000366578000022 DA 2019-04-09 ER PT J AU Gunia, M David, I Hurtaud, J Maupin, M Gilbert, H Garreau, H AF Gunia, M. David, I. Hurtaud, J. Maupin, M. Gilbert, H. Garreau, H. TI Resistance to infectious diseases is a heritable trait in rabbits SO JOURNAL OF ANIMAL SCIENCE LA English DT Article DE disease resistance; general resistance; genetic parameters; heritability; infectious diseases; rabbit ID GENETIC-PARAMETERS; IMMUNE-RESPONSE; LIVESTOCK; SUSTAINABILITY; SELECTION; COWS AB Selection for disease resistance is a powerful way to improve the health status of herds and to reduce the use of antibiotics. The objectives of this study were to estimate 1) the genetic parameters for simple visually assessed disease syndromes and for a composite trait of resistance to infectious disease including all syndromes and 2) their genetic correlations with production traits in a rabbit population. Disease symptoms were recorded in the selection herds of 2 commercial paternal rabbit lines during weighing at the end of the test (63 and 70 d of age, respectively). Causes of mortality occurring before these dates were also recorded. Seven disease traits were analyzed: 3 elementary traits visually assessed by technicians on farm (diarrhea, various digestive syndromes, and respiratory syndromes), 2 composite traits (all digestive syndromes and all infectious syndromes), and 2 mortality traits (digestive mortality and infectious mortality). Each animal was assigned only 1 disease trait, corresponding to the main syndrome (N = 153,400). Four production traits were also recorded: live weight the day before the end of test on most animals (n = 137,860) and cold carcass weight, carcass yield, and perirenal fat percentage of the carcass on a subset of slaughtered animals (n = 13,765). Records on both lines were analyzed simultaneously using bivariate linear animal models after validation of consistency with threshold models applied to logit-transformed traits. The heritabilities were low for disease traits, from 0.01 +/- 0.002 for various digestive syndromes to 0.04 +/- 0.004 for infectious mortality, and moderate to high for production traits. The genetic correlations between digestive syndromes were high and positive, whereas digestive and respiratory syndromes were slightly negatively correlated. The genetic correlations between the composite infectious disease trait and digestive or respiratory syndromes were moderate. Genetic correlations between disease and production traits were favorable. Our results indicate that it is possible to select rabbits using visually assessed disease syndromes without the need for a trade-off between health and production traits. Using a composite criterion that includes all infectious syndromes is easy to implement and heritable and is, therefore, a promising way to improve the general disease resistance in livestock species. C1 [Gunia, M.; David, I.; Gilbert, H.; Garreau, H.] INRA, GenPhySE Genet Physiol & Syst Elevage, F-31326 Castanet Tolosan, France. [Gunia, M.; David, I.; Gilbert, H.; Garreau, H.] Univ Toulouse, INP, ENSAT, GenPhySE Genet Physiol & Syst Elevage, F-31326 Castanet Tolosan, France. [Gunia, M.; David, I.; Gilbert, H.; Garreau, H.] Univ Toulouse, INP, ENVT, GenPhySE Genet Physiol & Syst Elevage, F-31076 Toulouse, France. [Hurtaud, J.; Maupin, M.] HYPHARM, F-49450 Roussay, France. RP Gunia, M (reprint author), INRA, GenPhySE Genet Physiol & Syst Elevage, F-31326 Castanet Tolosan, France. EM melanie.gunia@toulouse.inra.fr FU "IDEX Nouveaux-Entrants" from "Universite de Toulouse" FX M. Gunia acknowledges the financial support of "IDEX Nouveaux-Entrants" from "Universite de Toulouse." The authors thank Andres Legarra for his help with the analyses. CR Bishop SC, 2004, J SCI FOOD AGR, V84, P911, DOI 10.1002/jsfa.1704 Bishop SC, 2003, VET PARASITOL, V115, P147, DOI 10.1016/S0304-4017(03)00204-8 Bishop SC, 2014, LIVEST SCI, V166, P190, DOI 10.1016/j.livsci.2014.04.034 Bishop SC, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0008940 der Laan MHP, 2002, VET IMMUNOL IMMUNOP, V87, P199, DOI 10.1016/S0165-2427(02)00075-2 Doeschl-Wilson AB, 2008, GENET SEL EVOL, V40, P241, DOI 10.1051/gse:2008001 Eady SJ, 2007, LIVEST SCI, V112, P90, DOI 10.1016/j.livsci.2007.01.158 Eady S. J., 2004, P 8 WORLD RABB C PUE, P137 Flori L, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022717 French Ministry of Agriculture, 2012, NAT PLAN RED RISKS A Garcia-Quiros A, 2014, VET IMMUNOL IMMUNOP, V161, P123, DOI 10.1016/j.vetimm.2014.07.005 Garreau H., 2006, Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006, P15 Garreau H., 2008, Proceedings of the 9th World Rabbit Congress, Verona, Italy, 10-13 June 2008, P103 Garreau H., 2012, 10 WORLD RABB C SHAR, P153 GIANOLA D, 1983, GENET SEL EVOL, V15, P201, DOI 10.1186/1297-9686-15-2-201 Gilmour A. R., 2009, ASREML USER GUIDE RE Guy Sarita Z. Y., 2012, Frontiers in Genetics, V3, P281, DOI 10.3389/fgene.2012.00281 Henryon M, 2001, ANIM SCI, V73, P375, DOI 10.1017/S1357729800058343 Heriazon A, 2013, VET IMMUNOL IMMUNOP, V154, P83, DOI 10.1016/j.vetimm.2013.03.014 Kadarmideen HN, 2003, LIVEST PROD SCI, V81, P183, DOI 10.1016/S0301-6226(02)00274-9 Lipschutz-Powell D, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0039551 PINARD MH, 1993, POULTRY SCI, V72, P391, DOI 10.3382/ps.0720391 Stear MJ, 2001, RES VET SCI, V71, P1, DOI 10.1053/rvsc.2001.0496 Thompson-Crispi KA, 2012, J DAIRY SCI, V95, P3888, DOI 10.3168/jds.2011-5201 Wilkie B, 1999, VET IMMUNOL IMMUNOP, V72, P231, DOI 10.1016/S0165-2427(99)00136-1 NR 25 TC 4 Z9 4 U1 2 U2 17 PU OXFORD UNIV PRESS INC PI CARY PA JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA SN 0021-8812 EI 1525-3163 J9 J ANIM SCI JI J. Anim. Sci. PD DEC PY 2015 VL 93 IS 12 BP 5631 EP 5638 DI 10.2527/jas.2015-9377 PG 8 WC Agriculture, Dairy & Animal Science SC Agriculture GA CY3RI UT WOS:000366327000016 PM 26641172 DA 2019-04-09 ER PT J AU Holland, RA Scott, KA Florke, M Brown, G Ewers, RM Farmer, E Kapos, V Muggeridge, A Scharlemann, JPW Taylor, G Barrett, J Eigenbrod, F AF Holland, Robert Alan Scott, Kate A. Floerke, Martina Brown, Gareth Ewers, Robert M. Farmer, Elizabeth Kapos, Valerie Muggeridge, Ann Scharlemann, Joern P. W. Taylor, Gail Barrett, John Eigenbrod, Felix TI Global impacts of energy demand on the freshwater resources of nations SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA LA English DT Article DE energy; freshwater; nexus; MRIO; sustainability ID INPUT-OUTPUT APPROACH; INTERNATIONAL-TRADE; ECOSYSTEM SERVICES; ENVIRONMENTAL IMPACTS; CLIMATE-CHANGE; POVERTY INDEX; SCARCE WATER; BIODIVERSITY; CHINA; FOOTPRINT AB The growing geographic disconnect between consumption of goods, the extraction and processing of resources, and the environmental impacts associated with production activities makes it crucial to factor global trade into sustainability assessments. Using an empirically validated environmentally extended global trade model, we examine the relationship between two key resources underpinning economies and human well-being-energy and freshwater. A comparison of three energy sectors (petroleum, gas, and electricity) reveals that freshwater consumption associated with gas and electricity production is largely confined within the territorial boundaries where demand originates. This finding contrasts with petroleum, which exhibits a varying ratio of territorial to international freshwater consumption, depending on the origin of demand. For example, although the United States and China have similar demand associated with the petroleum sector, international freshwater consumption is three times higher for the former than the latter. Based on mapping patterns of freshwater consumption associated with energy sectors at subnational scales, our analysis also reveals concordance between pressure on freshwater resources associated with energy production and freshwater scarcity in a number of river basins globally. These energy-driven pressures on freshwater resources in areas distant from the origin of energy demand complicate the design of policy to ensure security of fresh water and energy supply. Although much of the debate around energy is focused on greenhouse gas emissions, our findings highlight the need to consider the full range of consequences of energy production when designing policy. C1 [Holland, Robert Alan; Taylor, Gail; Eigenbrod, Felix] Univ Southampton, Ctr Biol Sci, Southampton SO17 1BJ, Hants, England. [Scott, Kate A.; Barrett, John] Univ Leeds, Sustainabil Res Inst, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England. [Floerke, Martina] Univ Kassel, Ctr Environm Syst Res, D-34109 Kassel, Germany. [Brown, Gareth; Ewers, Robert M.] Univ London Imperial Coll Sci Technol & Med, Dept Life Sci, Ascot SL5 7PY, Berks, England. [Farmer, Elizabeth; Kapos, Valerie; Scharlemann, Joern P. W.] World Conservat Monitoring Ctr, United Nations Environm Programme, Cambridge CB3 0DL, England. [Kapos, Valerie] Univ Cambridge, Dept Zool, Cambridge CB2 3EJ, England. [Muggeridge, Ann] Univ London Imperial Coll Sci Technol & Med, Dept Earth Sci & Engn, London SW7 2AZ, England. [Scharlemann, Joern P. W.] Univ Sussex, Sch Life Sci, Brighton BN1 9QG, E Sussex, England. RP Holland, RA (reprint author), Univ Southampton, Ctr Biol Sci, Highfield Campus, Southampton SO17 1BJ, Hants, England. EM r.a.holland@soton.ac.uk RI Kapos, Valerie/G-3136-2010; Scott, Kate/L-6843-2015; Scharlemann, Jorn/A-4737-2008 OI Kapos, Valerie/0000-0002-5739-8262; Scott, Kate/0000-0001-7952-0348; Scharlemann, Jorn/0000-0002-2834-6367; Holland, Robert/0000-0002-5927-9160; Holland, Robert/0000-0002-3038-9227; Eigenbrod, Felix/0000-0001-8982-824X FU UK Energy Research Centre (UKERC) [NE/J005924/1]; Engineering and Physical Sciences Research Council [EP/N022645/1, EP/L024756/1, EP/M013200/1]; Natural Environment Research Council [NE/M019764/1, NE/G007748/1] FX We thank Marco Sakai (University of Leeds) for his help compiling the multiregion input-output table from the GTAP database, and two anonymous reviewers for insightful comments. This work was supported through UK Energy Research Centre (UKERC) Project NE/J005924/1, "A Global Framework for Quantifying the Ecosystem Service Impacts of Oil and Biofuel Production." IHS provided high-quality global Exploration and Production and Midstream data at no cost for this global energy research. CR Aguiar A., 2012, GLOBAL TRADE ASSISTA Alcamo J, 2003, HYDROLOG SCI J, V48, P317, DOI 10.1623/hysj.48.3.317.45290 Barrett J, 2013, CLIM POLICY, V13, P451, DOI 10.1080/14693062.2013.788858 Brauman KA, 2007, ANNU REV ENV RESOUR, V32, P67, DOI 10.1146/annurev.energy.32.031306.102758 Chen ZM, 2013, ECOL INDIC, V28, P142, DOI 10.1016/j.ecolind.2012.07.024 Cullis J., 2004, Water Policy, V6, P397 Daniels PL, 2011, ECON SYST RES, V23, P353, DOI 10.1080/09535314.2011.633500 Davis SJ, 2010, P NATL ACAD SCI USA, V107, P5687, DOI 10.1073/pnas.0906974107 Dodds WK, 2013, ENVIRON SCI TECHNOL, V47, P9061, DOI 10.1021/es4021052 Doll P, 2002, WATER RESOUR RES, V38, P8 Dudgeon D, 2006, BIOL REV, V81, P163, DOI 10.1017/S1464793105006950 Dudgeon D, 2010, CURR OPIN ENV SUST, V2, P422, DOI 10.1016/j.cosust.2010.09.001 Elcock D, 2010, J AM WATER RESOUR AS, V46, P447, DOI 10.1111/j.1752-1688.2009.00413.x Feeley TJ, 2008, ENERGY, V33, P1, DOI 10.1016/j.energy.2007.08.007 Feng KS, 2014, ENVIRON SCI TECHNOL, V48, P7704, DOI 10.1021/es500502q Feng KS, 2011, ECON SYST RES, V23, P371, DOI 10.1080/09535314.2011.638276 Florke M, 2013, GLOBAL ENVIRON CHANG, V23, P144, DOI 10.1016/j.gloenvcha.2012.10.018 Fthenakis V, 2010, RENEW SUST ENERG REV, V14, P2039, DOI 10.1016/j.rser.2010.03.008 Fulton J, 2015, ENVIRON SCI TECHNOL, V49, P3314, DOI 10.1021/es505034x Gleick PH, 2010, P NATL ACAD SCI USA, V107, P11155, DOI 10.1073/pnas.1004812107 Gleick PH, 2003, ANNU REV ENV RESOUR, V28, P275, DOI 10.1146/annurev.energy.28.040202.122849 Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967 GLEICK PH, 1994, ANNU REV ENERG ENV, V19, P267, DOI 10.1146/annurev.eg.19.110194.001411 Haddeland I, 2014, P NATL ACAD SCI USA, V111, P3251, DOI 10.1073/pnas.1222475110 Haddeland I, 2011, J HYDROMETEOROL, V12, P869, DOI 10.1175/2011JHM1324.1 Hertwich EG, 2009, ENVIRON SCI TECHNOL, V43, P6414, DOI 10.1021/es803496a Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 Horwitz P, 2011, BIOSCIENCE, V61, P678, DOI 10.1525/bio.2011.61.9.6 Hussey K, 2012, ECOL SOC, V17, DOI 10.5751/ES-04641-170131 Intergovernmental Panel on Climate Change, 2013, SUMM POL CLIM CHANG International Energy Agency, 2012, WORLD EN OUTL Kounina A., 2012, INT J LIFE CYCLE ASS, V18, P707, DOI DOI 10.1007/S11367-012-0519-3 Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Lenzen M, 2007, ECOL ECON, V61, P27, DOI 10.1016/j.ecolecon.2006.05.018 Lenzen M, 2013, ECOL ECON, V94, P78, DOI 10.1016/j.ecolecon.2013.06.018 LEONTIEF W, 1970, REV ECON STAT, V52, P262, DOI 10.2307/1926294 Li Y, 2008, ENERG POLICY, V36, P1907, DOI 10.1016/j.enpol.2008.02.005 Liu JG, 2005, NATURE, V435, P1179, DOI 10.1038/4351179a Lo AY, 2013, J ECON SURV, V27, P768, DOI 10.1111/j.1467-6419.2011.00718.x Luck Gary W, 2012, F1000Res, V1, P17, DOI 10.12688/f1000research.1-17.v1 Machado G, 2001, ECOL ECON, V39, P409, DOI 10.1016/S0921-8009(01)00230-0 Marston L, 2015, P NATL ACAD SCI USA, V112, P8561, DOI 10.1073/pnas.1500457112 McDougall RA, 2002, GLOB TRADE ASSIST PR, V5, P8 Mekonnen MM, 2014, ECOL INDIC, V46, P214, DOI [10.1016/j.ecolind.2014.06.013, 10.1016/j.ecolind] Muller Schmied H, 2014, HYDROL EARTH SYST SC, V18, P3511, DOI 10.5194/hess-18-3511-2014 Ohlsson L, 2000, PHYS CHEM EARTH PT B, V25, P213 Oki T, 2006, SCIENCE, V313, P1068, DOI 10.1126/science.1128845 Peters GP, 2008, ENVIRON SCI TECHNOL, V42, P1401, DOI 10.1021/es072023k Peters GP, 2011, ECON SYST RES, V23, P131, DOI 10.1080/09535314.2011.563234 Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Peters GP, 2010, CURR OPIN SUST, V2, P245, DOI 10.1016/j.cosust.2010.05.004 Pfister S, 2009, ENVIRON SCI TECHNOL, V43, P4098, DOI 10.1021/es802423e Pittock J, 2011, ECOL SOC, V16 Rijsberman FR, 2006, AGR WATER MANAGE, V80, P5, DOI 10.1016/j.agwat.2005.07.001 Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Rulli MC, 2013, P NATL ACAD SCI USA, V110, P892, DOI 10.1073/pnas.1213163110 Scott CA, 2011, ENERG POLICY, V39, P6622, DOI 10.1016/j.enpol.2011.08.013 Scown CD, 2011, ENVIRON SCI TECHNOL, V45, P2541, DOI 10.1021/es102633h Shiklomanov IA, 2000, WATER INT, V25, P11, DOI 10.1080/02508060008686794 Sovacool BK, 2009, ENERG POLICY, V37, P2763, DOI 10.1016/j.enpol.2009.03.012 Spash CL, 2015, J ENVIRON MANAGE, V159, P245, DOI 10.1016/j.jenvman.2015.04.049 Steinberger JK, 2012, NAT CLIM CHANGE, V2, P81, DOI [10.1038/nclimate1371, 10.1038/NCLIMATE1371] Suh S, 2004, ENVIRON SCI TECHNOL, V38, P657, DOI 10.1021/es0263745 Sullivan C, 2002, WORLD DEV, V30, P1195, DOI 10.1016/S0305-750X(02)00035-9 Sullivan C, 2006, WATER INT, V31, P412, DOI 10.1080/02508060608691942 Turner WR, 2012, BIOSCIENCE, V62, P85, DOI 10.1525/bio.2012.62.1.13 U.S. Department of Energy, 2006, EN DEM WAT RES REP C Vassolo S, 2005, WATER RESOUR RES, V41, DOI 10.1029/2004WR003360 Vorosmarty CJ, 2010, NATURE, V467, P555, DOI 10.1038/nature09440 von Ritter K., 2004, ASSESSING EC VALUE E Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 Wiedmann T.O., 2013, P NATL ACAD SCI USA, V112, P6271 Wiedmann T, 2007, ECOL ECON, V61, P15, DOI 10.1016/j.ecolecon.2006.12.003 Woodward G, 2009, FRESHWATER BIOL, V54, P2171, DOI 10.1111/j.1365-2427.2008.02081.x Wu M, 2009, ENVIRON MANAGE, V44, P981, DOI 10.1007/s00267-009-9370-0 WYCKOFF AW, 1994, ENERG POLICY, V22, P187, DOI 10.1016/0301-4215(94)90158-9 Yu CQ, 2011, NATURE, V470, P307, DOI 10.1038/470307a Yu Y, 2013, GLOBAL ENVIRON CHANG, V23, P1178, DOI 10.1016/j.gloenvcha.2013.04.006 Zhang C, 2013, ENVIRON SCI TECHNOL, V47, P14459, DOI 10.1021/es402556x Zhang ZY, 2011, ECON SYST RES, V23, P431, DOI 10.1080/09535314.2011.636733 Zhao X, 2015, P NATL ACAD SCI USA, V112, P1031, DOI 10.1073/pnas.1404130112 NR 81 TC 33 Z9 35 U1 3 U2 85 PU NATL ACAD SCIENCES PI WASHINGTON PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA SN 0027-8424 J9 P NATL ACAD SCI USA JI Proc. Natl. Acad. Sci. U. S. A. PD DEC 1 PY 2015 VL 112 IS 48 BP E6707 EP E6716 DI 10.1073/pnas.1507701112 PG 10 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA CX8XR UT WOS:000365988900017 PM 26627262 OA Green Published, Bronze DA 2019-04-09 ER PT J AU Weber, RH AF Weber, Rolf H. TI Border Tax adjustment - legal perspective SO CLIMATIC CHANGE LA English DT Article ID TRADE AB Border tax adjustment is a second-best solution for improving climate mitigation measures as long as international cooperation does not function to a satisfactory degree. However, the implementation of such measures can legally be problematic under the angle of the legal framework of the World Trade Organization (WTO) which aims at liberalizing international trade and at avoiding trade barriers. In particular, border tax adjustment might come into conflict with the National Treatment principle and the discipline on subsidies. These legal problems can only be overcome if the specific legal justification reasons provided for in WTO law for the promotion of climate sustainability (such as conservation of exhaustible resources and protection of human, animal or plant health) are interpreted in a broad way. C1 [Weber, Rolf H.] Univ Zurich, CH-8001 Zurich, Switzerland. RP Weber, RH (reprint author), Univ Zurich, Ramistr 74-38, CH-8001 Zurich, Switzerland. EM rolf.weber@rwi.uzh.ch CR Charnovitz Steve, 2009, GLOBAL WARMING WORLD Cottier T, 2013, BORDER TAX ADJUSTMEN Hsueh CW, 2013, ASIAN J WTO INT HEAL, V8, P521 Kaufmann C, 2011, WORLD TRADE REV, V10, P497, DOI 10.1017/S1474745611000292 Lay A, 2012, THESIS Pauwelyn J, 2009, STATEMENT JOOST PAUW Pauwelyn J., 2007, 0702 DUK U Weber RH, 2014, J ENERGY POWER ENG, V8, P612 Weber RH, 2008, INFORM SOC DIGITAL D, V40 World Trade Organization & United Nations Environmental Programme, 2009, TRAD CLIM CHANG NR 10 TC 4 Z9 4 U1 0 U2 2 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0165-0009 EI 1573-1480 J9 CLIMATIC CHANGE JI Clim. Change PD DEC PY 2015 VL 133 IS 3 BP 407 EP 417 DI 10.1007/s10584-015-1414-2 PG 11 WC Environmental Sciences; Meteorology & Atmospheric Sciences SC Environmental Sciences & Ecology; Meteorology & Atmospheric Sciences GA CX2HW UT WOS:000365518700006 DA 2019-04-09 ER PT J AU Huang, Y Dong, X Zeng, SY Chen, JN AF Huang, Yue Dong, Xin Zeng, Siyu Chen, Jining TI An integrated model for structure optimization and technology screening of urban wastewater systems SO FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING LA English DT Article DE urban wastewater system; integrated modeling; multi-objective optimization; non-dominated sorting genetic algorithm (NSGA-II) ID DECISION-SUPPORT-SYSTEM; REAL-TIME CONTROL; RIVER-BASIN; REUSE; MANAGEMENT; QUALITY; CHINA; RECLAMATION; IMPACT AB The conventional approach to wastewater system design and planning considers each component separately and does not provide the optimum performance of the entire system. However, the growing concern for environmental protection, economic efficiency, and sustainability of urban wastewater systems requires an integrated modeling of subsystems and a synthetic evaluation of multiple objectives. In this study, a multiobjective optimization model of an integrated urban wastewater system was developed. The model encompasses subsystems, such as a sewer system, stormwater management, municipal wastewater treatment, and a wastewater reclamation system. The non-dominated sorting genetic algorithm (NSGA-II) was used to generate a range of system design possibilities to optimize conflicting environmental and economic objectives. Information from a knowledge base, which included rules for generating treatment trains as well as the performance characteristics of commonly used water pollution control measures, was utilized. The trade-off relationships between the objectives, total water pollution loads to the environment, and life cycle costs (which consist of investment as well as operation and maintenance costs), can be illustrated using Pareto charts. The developed model can be used to assist decision makers in the preliminary planning of system structure. A benchmark city was constructed to illustrate the methods of multi-objective controls, highlight cost-effective water pollution control measures, and identify the main pressures on urban water environment. C1 [Huang, Yue; Dong, Xin; Zeng, Siyu; Chen, Jining] Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China. RP Zeng, SY (reprint author), Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China. EM szeng@tsinghua.edu.cn CR Ahmed SA, 2003, DESALINATION, V152, P339, DOI 10.1016/S0011-9164(02)01082-2 Alemany J, 2005, WATER SCI TECHNOL, V51, P179 Asano T, 1996, WATER SCI TECHNOL, V33, P1, DOI 10.1016/0273-1223(96)00401-5 Aulinas M, 2011, ENVIRON MODELL SOFTW, V26, P562, DOI 10.1016/j.envsoft.2010.11.009 Bai H, 2013, FRONT ENV SCI ENG, V7, P746, DOI 10.1007/s11783-013-0551-y Benedetti L, 2008, J ENVIRON MANAGE, V88, P1262, DOI 10.1016/j.jenvman.2007.06.020 Benedetti L, 2013, WATER SCI TECHNOL, V68, P1203, DOI 10.2166/wst.2013.397 Benedetti L, 2009, WATER SCI TECHNOL, V60, P2035, DOI 10.2166/wst.2009.522 Bixio D, 2006, DESALINATION, V187, P89, DOI 10.1016/j.desal.2005.04.070 Butler D, 2005, ENVIRON MODELL SOFTW, V20, P415, DOI 10.1016/j.envsoft.2004.02.003 Chen J, 1997, WATER SCI TECHNOL, V35, P99, DOI 10.1016/S0273-1223(97)00188-1 Chu JY, 2004, WATER RES, V38, P2746, DOI 10.1016/j.watres.2004.04.002 Deb K, 2002, IEEE T EVOLUT COMPUT, V6, P182, DOI 10.1109/4235.996017 Dinesh N, 2003, WA SCI TECHNOL, V3, P1 Erbe V, 2002, WATER SCI TECHNOL, V46, P141 Frehmann T, 2002, WATER SCI TECHNOL, V46, P19 Freni G, 2011, WATER RES, V45, P37, DOI 10.1016/j.watres.2010.08.004 Fu GT, 2008, ENVIRON MODELL SOFTW, V23, P225, DOI 10.1016/j.envsoft.2007.06.003 Fu GT, 2009, SCI TOTAL ENVIRON, V407, P1257, DOI 10.1016/j.scitotenv.2008.10.033 Garrido-Baserba M, 2012, J ENVIRON MANAGE, V112, P384, DOI 10.1016/j.jenvman.2012.08.013 Jia HF, 2013, FRONT ENV SCI ENG, V7, P709, DOI 10.1007/s11783-013-0557-5 Joksimovic D., 2007, THESIS Krovvidy S, 1991, J APPL INTELLIGENCE, VI, P247, DOI DOI 10.1007/BF00118999 Lee K, 2010, DESALIN WATER TREAT, V19, P92, DOI 10.5004/dwt.2010.1900 Meirlaen J, 2002, WATER SCI TECHNOL, V45, P109 Ning X, 2013, FRONT ENV SCI ENG, V7, P658, DOI 10.1007/s11783-013-0546-8 Passerat J, 2011, WATER RES, V45, P893, DOI 10.1016/j.watres.2010.09.024 Rauch W, 2002, WATER SCI TECHNOL, V45, P81 Rauch W, 1998, WATER SCI TECHNOL, V38, P97, DOI 10.1016/S0273-1223(98)00644-1 ROSSMAN LA, 1980, J WATER POLLUT CON F, V52, P148 Schutze M, 1999, WATER SCI TECHNOL, V39, P209, DOI 10.1016/S0273-1223(99)00235-8 Sheping W, 2003, HDB PROCESS DESIGN W Tsihrintzis VA, 1997, WATER RESOUR MANAG, V11, P136, DOI DOI 10.1023/A:1007903817943 Vanrolleghem PA, 2005, ENVIRON MODELL SOFTW, V20, P427, DOI 10.1016/j.envsoft.2004.02.004 Zeng SY, 2008, WATER RESOUR MANAG, V22, P1297, DOI 10.1007/s11269-007-9226-4 NR 35 TC 7 Z9 7 U1 2 U2 33 PU HIGHER EDUCATION PRESS PI BEIJING PA NO 4 DEWAI DAJIE, BEIJING 100120, PEOPLES R CHINA SN 2095-2201 EI 2095-221X J9 FRONT ENV SCI ENG JI Front. Env. Sci. Eng. PD DEC PY 2015 VL 9 IS 6 BP 1036 EP 1048 DI 10.1007/s11783-015-0792-z PG 13 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA CW9HI UT WOS:000365309400010 DA 2019-04-09 ER PT J AU White, M Gambone, M Yen, H Arnold, J Harmel, D Santhi, C Haney, R AF White, Michael Gambone, Marilyn Yen, Haw Arnold, Jeff Harmel, Daren Santhi, Chinnasamy Haney, Richard TI Regional Blue and Green Water Balances and Use by Selected Crops in the US SO JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION LA English DT Article DE modeling; water use; SWAT; blue water; green water ID VIRTUAL WATER; GROUNDWATER FOOTPRINT; CENTRAL VALLEY; NUTRIENT LOAD; UNITED-STATES; HIGH-PLAINS; RESOURCES; TRADE; PRODUCTIVITY; RIVER AB The availability of freshwater is a prerequisite for municipal development and agricultural production, especially in the arid and semiarid portions of the western United States (U.S.). Agriculture is the leading user of water in the U.S. Agricultural water use can be partitioned into green (derived from rainfall) and blue water (irrigation). Blue water can be further subdivided by source. In this research, we develop a hydrologic balance by 8-Digit Hydrologic Unit Code using a combination of Soil and Water Assessment Tool simulations and available human water use estimates. These data are used to partition agricultural groundwater usage by sustainability and surface water usage by local source or importation. These predictions coupled with reported agricultural yield data are used to predict the virtual water contained in each ton of corn, wheat, sorghum, and soybeans produced and its source. We estimate that these four crops consume 480km(3) of green water annually and 23km(3) of blue water, 12km(3) of which is from groundwater withdrawal. Regional trends in blue water use from groundwater depletion highlight heavy usage in the High Plains, and small pockets throughout the western U.S. This information is presented to inform water resources debate by estimating the cost of agricultural production in terms of water regionally. This research illustrates the variable water content of the crops we consume and export, and the source of that water. C1 [White, Michael; Arnold, Jeff; Harmel, Daren; Haney, Richard] ARS, USDA, Temple, TX 76502 USA. [Gambone, Marilyn; Yen, Haw; Santhi, Chinnasamy] Texas A&M Univ, AgriLife Res, Temple, TX 76502 USA. RP White, M (reprint author), ARS, USDA, 808 E Blackland Rd, Temple, TX 76502 USA. EM mike.white@ars.usda.gov OI Yen, Haw/0000-0002-5509-8792 FU U.S. Department of Agriculture, Agricultural Research Service FX This work was funded by the U.S. Department of Agriculture, Agricultural Research Service. CR Aldaya M. M., 2008, ECOLOGICAL EC, V69, P887 Allan JA, 2003, WATER INT, V28, P106, DOI 10.1080/02508060.2003.9724812 Arnold JG, 1998, J AM WATER RESOUR AS, V34, P73, DOI 10.1111/j.1752-1688.1998.tb05961.x Baker N. T., 2011, US GEOLOGICAL SURVEY, V573, P13 Bondeau A, 2007, GLOBAL CHANGE BIOL, V13, P679, DOI 10.1111/j.1365-2486.2006.01305.x Chapagain A. K., 2004, WATER FOOTPRINT NATI, V16 Esnault L, 2014, WATER RESOUR RES, V50, P4953, DOI 10.1002/2013WR014792 Falkenmark M, 2006, J WATER RES PL-ASCE, V132, P129, DOI 10.1061/(ASCE)0733-9496(2006)132:3(129) FAO, 2013, CROPWAT 8 0 Faramarzi M, 2009, HYDROL PROCESS, V23, P486, DOI 10.1002/hyp.7160 Faunt C. C, 2009, GROUNDWATER AVAILABI Foster G. R., 2000, 002147 ASAE Glavan M., 2012, HYDROLOGICAL PROCESS, V27, P3964, DOI [DOI 10.1002/HYP.9540, 10.1002/hyp.9540] Gleeson T, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044010 Gleeson T, 2012, NATURE, V488, P197, DOI 10.1038/nature11295 Hanasaki N, 2010, J HYDROL, V384, P232, DOI 10.1016/j.jhydrol.2009.09.028 Harmel D, 2008, J ENVIRON QUAL, V37, P2403, DOI 10.2134/jeq2008.0079 Harmel D, 2006, J AM WATER RESOUR AS, V42, P1163, DOI 10.1111/j.1752-1688.2006.tb05604.x Hoekstra A.Y., 2008, GLOBALIZATION WATER Hoekstra AY, 2005, GLOBAL ENVIRON CHANG, V15, P45, DOI 10.1016/j.gloenvcha.2004.06.004 Homer C, 2007, PHOTOGRAMM ENG REM S, V73, P337 Huang F, 2010, AGR WATER MANAGE, V97, P1259, DOI 10.1016/j.agwat.2010.02.017 Kenny JF, 2009, CIRCULATION, V1344, P52 Konikow LF, 2013, 20135079 US GEOL SUR, P63 Liu JG, 2007, AGR SYST, V94, P478, DOI 10.1016/j.agsy.2006.11.019 Liu JG, 2010, J HYDROL, V384, P187, DOI 10.1016/j.jhydrol.2009.11.024 Liu JG, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006051 McGuire V. L., 2009, PUBLICATIONS US GEOL, V17 Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011 Monteith J. L., 1965, IAHS-AISH PUBL, V19, p[205, 319] Mubako ST, 2013, ANN ASSOC AM GEOGR, V103, P385, DOI 10.1080/00045608.2013.756267 Myers N., 1993, WATER CRISIS GUIDE W Oki T, 2004, WATER SCI TECHNOL, V49, P203 Portmann FT, 2010, GLOBAL BIOGEOCHEM CY, V24, DOI 10.1029/2008GB003435 Ringersma J, 2003, 20032 ISRIC Rockstrom J, 2004, BALANCING WATER HUMA Rost S, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006331 Santhi C, 2014, J ENVIRON QUAL, V43, P177, DOI 10.2134/jeq2011.0460 Scanlon BR, 2012, P NATL ACAD SCI USA, V109, P9320, DOI 10.1073/pnas.1200311109 Schuol J, 2008, WATER RESOUR RES, V44, DOI 10.1029/2007WR006609 Siebert S, 2010, J HYDROL, V384, P198, DOI 10.1016/j.jhydrol.2009.07.031 Sun S., 2012, J SCI FOOD AGR, V93, P1427, DOI DOI 10.1002/JSFA.5911 USDA-NRCS, 1992, PUBL USGS, 2003, 03145 USGS Wada Y, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010562 White MJ, 2014, J SOIL WATER CONSERV, V69, P26, DOI 10.2489/jswc.69.1.26 White MW, 2012, J SOIL WATER CONSERV, V67, P525, DOI 10.2489/jswc.67.6.525 White M, 2015, J AM WATER RESOUR AS, V51, P758, DOI 10.1111/jawr.12270 WILLIAMS JR, 1990, PHILOS T ROY SOC B, V329, P421, DOI 10.1098/rstb.1990.0184 Wisser D., 2008, GEOPHYS RES LETT, V35, P1 Zang CF, 2012, HYDROL EARTH SYST SC, V16, P2859, DOI 10.5194/hess-16-2859-2012 Zwart SJ, 2004, AGR WATER MANAGE, V69, P115, DOI 10.1016/j.agwat.2004.04.007 NR 52 TC 7 Z9 7 U1 2 U2 52 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1093-474X EI 1752-1688 J9 J AM WATER RESOUR AS JI J. Am. Water Resour. Assoc. PD DEC PY 2015 VL 51 IS 6 BP 1626 EP 1642 DI 10.1111/1752-1688.12344 PG 17 WC Engineering, Environmental; Geosciences, Multidisciplinary; Water Resources SC Engineering; Geology; Water Resources GA CX6FX UT WOS:000365797700011 DA 2019-04-09 ER PT J AU Reidsma, P Bakker, MM Kanellopoulos, A Alam, SJ Paas, W Kros, J de Vries, W AF Reidsma, Pytrik Bakker, Martha M. Kanellopoulos, Argyris Alam, Shah J. Paas, Wim Kros, Johannes de Vries, Wim TI Sustainable agricultural development in a rural area in the Netherlands? Assessing impacts of climate and socio-economic change at farm and landscape level SO AGRICULTURAL SYSTEMS LA English DT Article DE Integrated assessment; Global change; Sustainability; Agriculture; Farm structural change; Spatially explicit; Climate smart agriculture ID AFFECTING LAND-USE; INTEGRATED ASSESSMENT; MULTIOBJECTIVE OPTIMIZATION; ANALYTICAL FRAMEWORK; TRADE-OFFS; SYSTEMS; UNCERTAINTIES; POLICIES; FUTURE; ADAPTATION AB Changes in climate, technology, policy and prices affect agricultural and rural development. To evaluate whether this development is sustainable, impacts of these multiple drivers need to be assessed for multiple indicators. In a case study area in the Netherlands, a bio-economic farm model, an agent-based land-use change model, and a regional emission model have been used to simulate rural development under two plausible global change scenarios at both farm and landscape level. Results show that in this area, climate change will have mainly negative economic impacts (dairy gross margin, arable gross margin, economic efficiency, milk production) in the warmer and drier W+ scenario, while impacts are slightly positive in the G scenario with moderate climate change. Dairy farmers are worse off than arable farmers in both scenarios. Conversely, when the W+ scenario is embedded in the socio-economic Global Economy (GE) scenario, changes in technology, prices, and policy are projected to have a positive economic impact, more than offsetting the negative climate impacts. Important is, however, that environmental impacts (global warming, terrestrial and aquatic eutrophication) are largely negative and social impacts (farm size, number of farms, nature area, odour) are mixed. In the G scenario combined with the socio-economic Regional Communities (RC) scenario the average dairy gross margin in particular is negatively affected. Social impacts are similarly mixed as in the GE scenario, while environmental impacts are less severe. Our results suggest that integrated assessments at farm and landscape level can be used to guide decision-makers in spatial planning policies and climate change adaptation. As there will always be trade-offs between economic, social, and environmental impacts stakeholders need to interact and decide upon most important directions for policies. This implies a choice between production and income on the one hand and social and environmental services on the other hand. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Reidsma, Pytrik; Kanellopoulos, Argyris; Paas, Wim] Wageningen Univ, Plant Prod Syst Grp, NL-6700 AK Wageningen, Netherlands. [Bakker, Martha M.] Wageningen Univ, Land Use Planning Grp, NL-6700 AA Wageningen, Netherlands. [Kanellopoulos, Argyris] Wageningen Univ, Operat Res & Logist Grp, NL-6706 KN Wageningen, Netherlands. [Alam, Shah J.] Habib Univ, Sch Sci & Engn, Karachi, Pakistan. [Kros, Johannes; de Vries, Wim] Alterra Wageningen UR, NL-6700AA Wageningen, Netherlands. [de Vries, Wim] Wageningen Univ, Environm Syst Anal Grp, NL-6700 AA Wageningen, Netherlands. RP Reidsma, P (reprint author), Wageningen Univ, Plant Prod Syst Grp, Dept Plant Sci, POB 430, NL-6700 AK Wageningen, Netherlands. EM pytrik.reidsma@wur.nl OI Reidsma, Pytrik/0000-0003-2294-809X FU research programme Sustainable Spatial Development of Ecosystems, Landscapes, Seas and Regions - Dutch Ministry of Economic Affairs [KB-14-004-025] FX This research was carried out within the project Climate Adaptation for Rural Areas (CARE), part of the Dutch research programme Knowledge for Climate. Co-funding came from the research programme Sustainable Spatial Development of Ecosystems, Landscapes, Seas and Regions funded by the Dutch Ministry of Economic Affairs (KB-14-004-025). We thank Jan-Cees Voogd for support in the simulations and making figures. CR Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916] Bakker M, 2015, LANDSCAPE ECOL, V30, P791, DOI 10.1007/s10980-014-0145-5 Bakker MM, 2015, LANDSCAPE ECOL, V30, P273, DOI 10.1007/s10980-014-0116-x Barthel R, 2012, WATER RESOUR MANAG, V26, P1929, DOI 10.1007/s11269-012-0001-9 Bezlepkina I, 2011, AGR SYST, V104, P105, DOI 10.1016/j.agsy.2010.11.002 Binder CR, 2010, ENVIRON IMPACT ASSES, V30, P71, DOI 10.1016/j.eiar.2009.06.002 Briner S, 2012, AGR ECOSYST ENVIRON, V149, P50, DOI 10.1016/j.agee.2011.12.011 de Vries W, 2003, NUTR CYCL AGROECOSYS, V66, P71, DOI 10.1023/A:1023354109910 Deque M, 2007, CLIMATIC CHANGE, V81, P53, DOI 10.1007/s10584-006-9228-x Diogo V., 2014, ANAL CLIMATE CHANGE Dolman MA, 2014, J CLEAN PROD, V73, P245, DOI 10.1016/j.jclepro.2014.02.043 Ewert F, 2005, AGR ECOSYST ENVIRON, V107, P101, DOI 10.1016/j.agee.2004.12.003 FAO, 2014, INT YEAR FAM FARM FARRELL MJ, 1957, J R STAT SOC SER A-G, V120, P253, DOI 10.2307/2343100 Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772 Fraser EDG, 2005, FUTURES, V37, P465, DOI 10.1016/j.futures.2004.10.011 Groot JCJ, 2012, AGR SYST, V110, P63, DOI 10.1016/j.agsy.2012.03.012 Hazell P, 2010, WORLD DEV, V38, P1349, DOI 10.1016/j.worlddev.2009.06.012 Hellmann F, 2011, BIOMASS BIOENERG, V35, P2411, DOI 10.1016/j.biombioe.2008.09.003 Helming K, 2011, ECOL SOC, V16 Helming K, 2011, ECOL SOC, V16 Holzkamper A, 2015, ENVIRON MODELL SOFTW, V66, P27, DOI 10.1016/j.envsoft.2014.12.012 Janssen S, 2009, ENVIRON SCI POLICY, V12, P573, DOI 10.1016/j.envsci.2009.01.007 Kanellopoulos A, 2014, EUR J AGRON, V52, P69, DOI 10.1016/j.eja.2013.10.003 Kirchner M, 2015, ECOL ECON, V109, P161, DOI 10.1016/j.ecolecon.2014.11.005 Klapwijk CJ, 2014, CURR OPIN ENV SUST, V6, P110, DOI 10.1016/j.cosust.2013.11.012 KNMI, 2014, KNMI 14 KLIM NED LEI Kros J, 2015, LANDSCAPE ECOL, V30, P871, DOI 10.1007/s10980-014-0131-y Leclere D, 2013, ECOL ECON, V87, P1, DOI 10.1016/j.ecolecon.2012.11.010 Louhichi K, 2010, AGR SYST, V103, P585, DOI 10.1016/j.agsy.2010.06.006 Mandryk M, 2014, REG ENVIRON CHANGE, V14, P1463, DOI 10.1007/s10113-014-0589-9 Mandryk M, 2012, LANDSCAPE ECOL, V27, P509, DOI [10.1007/s10980-012-9714-7, 10.1007/s10980-012-9721-8] Murphy JM, 2004, NATURE, V430, P768, DOI 10.1038/nature02771 Myhre G, 2014, CLIMATE CHANGE 2013: THE PHYSICAL SCIENCE BASIS, P659 Naeff H.S.D., 2003, GEOGRAFISCHE INFORM Nakicenovic N., 2000, SPECIAL REPORT EMISS Nelson GC, 2014, P NATL ACAD SCI USA, V111, P3274, DOI 10.1073/pnas.1222465110 O'Brien KL, 2000, GLOBAL ENVIRON CHANG, V10, P221, DOI 10.1016/S0959-3780(00)00021-2 Olsson JA, 2009, ENVIRON SCI POLICY, V12, P562, DOI 10.1016/j.envsci.2009.01.012 Paas W., 2013, THESIS Pannell DJ, 1999, J SUSTAIN AGR, V13, P57, DOI 10.1300/J064v13n04_06 Petit J, 2003, J ENVIRON MANAGE, V68, P377, DOI 10.1016/S0301-4797(03)00105-1 Podhora A, 2013, ENVIRON SCI POLICY, V31, P85, DOI 10.1016/j.envsci.2013.03.002 Porter JR, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P485 Potschin M, 2008, SUSTAINABILITY IMPAC, P425 POTTER C, 1993, LAND USE POLICY, V10, P267, DOI 10.1016/0264-8377(93)90037-B Reidsma P, 2015, ENVIRON RES LETT, V10, DOI 10.1088/1748-9326/10/4/045004 Reidsma P, 2012, ENVIRON SCI POLICY, V18, P66, DOI 10.1016/j.envsci.2012.01.003 Reidsma P, 2011, LAND USE POLICY, V28, P604, DOI 10.1016/j.landusepol.2010.11.009 Riedijk A., 2007, SL06 VU MNP Rockstrom J, 2009, NATURE, V461, P472, DOI 10.1038/461472a Rosenzweig C, 2013, AGR FOREST METEOROL, V170, P166, DOI 10.1016/j.agrformet.2012.09.011 Rotmans J, 1996, CLIMATIC CHANGE, V34, P327, DOI 10.1007/BF00139296 Schaap BF, 2013, EUR J AGRON, V48, P30, DOI 10.1016/j.eja.2013.02.004 Schosser B, 2010, J LAND USE SCI, V5, P159, DOI 10.1080/1747423X.2010.485727 Singh RK, 2012, ECOL INDIC, V15, P281, DOI 10.1016/j.ecolind.2011.01.007 Steenwerth K. L., 2014, AGR FOOD SECURITY, V3, P11, DOI [10.1186/2048-7010-3-11, DOI 10.1186/2048-7010-3-11] Sutton MA, 1998, ENVIRON POLLUT, V102, P349, DOI 10.1016/S0269-7491(98)80054-7 Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014 Troost C, 2015, AM J AGR ECON, V97, P833, DOI 10.1093/ajae/aau076 Tsutsumi Y., 2015, THESIS Turner BL, 2007, P NATL ACAD SCI USA, V104, P20666, DOI 10.1073/pnas.0704119104 van Asselt ED, 2014, ECOL INDIC, V43, P315, DOI 10.1016/j.ecolind.2014.02.027 Van Calker KJ, 2005, AGR HUM VALUES, V22, P53, DOI [10.1004/s10460-004-7230-3, 10.1007/s10460-004-7230-3] van den Berg AE, 2010, SOC SCI MED, V70, P1203, DOI 10.1016/j.socscimed.2010.01.002 Van den Hurk B, 2006, KNMI CLIMATE CHANGE van Ittersum MK, 2008, AGR SYST, V96, P150, DOI 10.1016/j.agsy.2007.07.009 Van Teeffelen AJA, 2015, LANDSCAPE ECOL, V30, P937, DOI 10.1007/s10980-015-0187-3 Van Vliet J.A., 2015, DE MYSTIFYING FAMILY, V5, P11 Veraart JA, 2014, REG ENVIRON CHANGE, V14, P851, DOI 10.1007/s10113-013-0567-7 Witte JPM, 2015, LANDSCAPE ECOL, V30, P835, DOI 10.1007/s10980-014-0086-z Wolf J., 2011, AGRIADAPT REPORTS Wolf J, 2015, AGR SYST, V140, P56, DOI 10.1016/j.agsy.2015.08.010 Zimmermann A, 2009, ENVIRON SCI POLICY, V12, P601, DOI 10.1016/j.envsci.2009.01.014 NR 74 TC 15 Z9 15 U1 8 U2 99 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0308-521X EI 1873-2267 J9 AGR SYST JI Agric. Syst. PD DEC PY 2015 VL 141 BP 160 EP 173 DI 10.1016/j.agsy.2015.10.009 PG 14 WC Agriculture, Multidisciplinary SC Agriculture GA CX0EW UT WOS:000365370700016 DA 2019-04-09 ER PT J AU Bravo-Oviedo, A Ruiz-Peinado, R Modrego, P Alonso, R Montero, G AF Bravo-Oviedo, Andres Ruiz-Peinado, Ricardo Modrego, Pilar Alonso, Rafael Montero, Gregorio TI Forest thinning impact on carbon stock and soil condition in Southern European populations of P. sylvestris L. SO FOREST ECOLOGY AND MANAGEMENT LA English DT Article DE Soil condition indicators; Sustainable forest management; Global change; Silviculture ID ORGANIC-CARBON; PRESCRIBED FIRE; TEMPERATE FORESTS; NUTRIENT BUDGETS; MONITORING DATA; LITTER FALL; PINE FOREST; NITROGEN; STANDS; CONVERSION AB An important aspect of sustainable forest management is to assess the impact of forest operations on ecosystem services. This work analyzed the long-term effect of two standard thinning regimes on carbon stocks both in tree biomass and soil compartments as well as its effect on soil condition. The target population was a 90-year-old Scots pine (Pious sylvestris L.) stand in southwestern Europe. Soil condition was measured as dry mass of the forest floor and concentration of carbon, nutrients in the forest floor as well as exchangeable cations, effective cation exchange capacity, pH and bulk density in the mineral soil. Repeated thinnings from below in a southern European population of Scots pine led to a reduction in current on-site carbon stock in tree biomass of 28% in moderately thinned stands (D grade: average residual basal area of 65-79% relative to the control plots) which was consistent with an observed loss of volume production. However, the inclusion of the amount of carbon exported off-site with harvested biomass reduced the decrease in stock to 4.8%. Nutrient concentrations in the forest floor increased in moderate thinned stands (P, K, Mg and Mn) or were unchanged (C, N and Fe). The selected thinning regime did not alter mineral soil condition. A decreasing pattern of Ca and Mn stocks with depth was consistent with a high reduction of nutrient concentration of elements and higher bulk density with depth. However K, Mg and Na showed stable stocks across depths because of a much smaller reduction of nutrient concentrations in deeper layers relative to the surface layer. We hypothesized that this stable pattern with soil depth was due to leaching. The sustainability of forest thinning is a trade-off between loss of standing biomass and increasing stand stability as long as other indicators, like soil condition, do not significantly change. (C) 2015 Elsevier B.V. All rights reserved. C1 [Bravo-Oviedo, Andres; Ruiz-Peinado, Ricardo; Alonso, Rafael; Montero, Gregorio] INIA, Forest Res Ctr CIFOR, Ctra A Coruna,Km 7,5, Madrid 28040, Spain. [Bravo-Oviedo, Andres; Ruiz-Peinado, Ricardo; Montero, Gregorio] Univ Valladolid, Sustainable Forest Management Res Inst, Madrid, Spain. [Bravo-Oviedo, Andres; Ruiz-Peinado, Ricardo; Montero, Gregorio] INIA, Madrid 28040, Spain. [Modrego, Pilar; Alonso, Rafael] DIEF Valonsadero, Soria, Spain. RP Bravo-Oviedo, A (reprint author), INIA, Forest Res Ctr CIFOR, Ctra A Coruna,Km 7,5, Madrid 28040, Spain. EM bravo@inia.es RI Bravo-Oviedo, Andres/D-1512-2009; Ruiz-Peinado, Ricardo/G-6751-2012 OI Bravo-Oviedo, Andres/0000-0001-7036-7041; Ruiz-Peinado, Ricardo/0000-0003-0126-1651 FU [AT2010-007]; [RTA2010-00095-CO2-00] FX This study has been funded by research project AT2010-007 and RTA2010-00095-CO2-00. The authors would like to thank all soil lab staff at extinct DIEF and INIA facilities. Authors thank Adam Collins for English revision. We also thank the editor and two reviewers for their constructive comments on the manuscript. CR [Anonymous], 2009, 11277 ISO [Anonymous], 1994, 11260 ISO Augusto L, 2002, ANN FOR SCI, V59, P233, DOI 10.1051/forest:2002020 Blanco JA, 2005, FOREST ECOL MANAG, V213, P209, DOI 10.1016/j.foreco.2005.03.042 Blanco JA, 2006, FOREST ECOL MANAG, V237, P342, DOI 10.1016/j.foreco.2006.09.057 Blanco JA, 2011, BIOGEOCHEMISTRY, V106, P397, DOI 10.1007/s10533-010-9518-2 Cambi M, 2015, FOREST ECOL MANAG, V338, P124, DOI 10.1016/j.foreco.2014.11.022 Chu CJ, 2010, ANN BOT-LONDON, V106, P647, DOI 10.1093/aob/mcq145 Clarke N, 2015, FOREST ECOL MANAG, V351, P9, DOI 10.1016/j.foreco.2015.04.034 Conkling BL, 2002, ENVIRON POLLUT, V116, pS221, DOI 10.1016/S0269-7491(01)00254-8 Cools N, 2011, IFOREST, V4, P205, DOI 10.3832/ifor0588-004 De Vos B., 2011, INBOR201135 RES I NA, VI DeLuca TH, 2000, FOREST ECOL MANAG, V138, P263, DOI 10.1016/S0378-1127(00)00401-1 FAO-Food and Agriculture Organization of the United Nations, 2006, GUID SOIL DESCR Galka B, 2014, GEODERMA, V213, P287, DOI 10.1016/j.geoderma.2013.08.029 Granged AJP, 2011, GEODERMA, V164, P85, DOI 10.1016/j.geoderma.2011.05.017 Guan FY, 2015, CATENA, V133, P455, DOI 10.1016/j.catena.2015.03.002 Hafner SD, 2005, SOIL BIOL BIOCHEM, V37, P2159, DOI 10.1016/j.soilbio.2005.03.006 de Aza CH, 2011, ANN FOREST SCI, V68, P1067, DOI 10.1007/s13595-011-0122-y Jandl R, 2007, GEODERMA, V137, P253, DOI 10.1016/j.geoderma.2006.09.003 Jandl R, 2015, CURR FOR REP, V1, P1, DOI 10.1007/s40725-015-0006-8 Johnson DW, 2011, GEODERMA, V160, P490, DOI 10.1016/j.geoderma.2010.10.019 Johnson DW, 2014, FOREST SCI, V60, P170, DOI 10.5849/forsci.12-034 Johnson DW, 2008, ANN FOREST SCI, V65, DOI 10.1051/forest:2008041 Johnson DW, 2001, FOREST ECOL MANAG, V140, P227, DOI 10.1016/S0378-1127(00)00282-6 Jonard M, 2008, CAN J FOREST RES, V38, P528, DOI 10.1139/X07-183 Jonard M, 2006, CAN J FOREST RES, V36, P2684, DOI 10.1139/X06-153 Jurgensen M, 2012, SOIL SCI SOC AM J, V76, P1418, DOI 10.2136/sssaj2011.0257 Kasel S, 2007, GEODERMA, V137, P401, DOI 10.1016/j.geoderma.2006.09.002 Kunhamu TK, 2009, CAN J FOREST RES, V39, P792, DOI 10.1139/X09-008 Lal R, 2005, FOREST ECOL MANAG, V220, P242, DOI 10.1016/j.foreco.2005.08.015 Landsberg J., 2003, PNWRP551 MCPFE, 2002, MCPFE EXP LEV M VIEN, P6 Murty D, 2002, GLOBAL CHANGE BIOL, V8, P105, DOI 10.1046/j.1354-1013.2001.00459.x Nave LE, 2010, FOREST ECOL MANAG, V259, P857, DOI 10.1016/j.foreco.2009.12.009 Nilsen P, 2008, FOREST ECOL MANAG, V256, P201, DOI 10.1016/j.foreco.2008.04.001 Nobles MM, 2009, SOIL SCI SOC AM J, V73, P285, DOI 10.2136/sssaj2007.0137 Novak J, 2011, FOREST SYST, V20, P464, DOI 10.5424/fs/20112003-11074 Pan YD, 2011, SCIENCE, V333, P988, DOI 10.1126/science.1201609 Parrotta J.A., 2009, FOREST ECOL MANAG, V257, P2133 Poeplau C, 2013, GEODERMA, V192, P189, DOI 10.1016/j.geoderma.2012.08.003 Powers M, 2011, FOREST ECOL MANAG, V262, P424, DOI 10.1016/j.foreco.2011.04.008 Powers MD, 2012, ECOL APPL, V22, P1297, DOI 10.1890/11-0411.1 Rastetter EB, 1997, ECOL APPL, V7, P444 Rempel RS, 2004, FOREST CHRON, V80, P82, DOI 10.5558/tfc80082-1 Rio M., 2008, ANN FOREST SCI, V65, P308, DOI DOI 10.1051/F0REST:2008009 Rodriguez-Alleres M, 2012, GEODERMA, V191, P125, DOI 10.1016/j.geoderma.2012.02.006 Roig S, 2005, FOREST ECOL MANAG, V206, P179, DOI 10.1016/j.foreco.2004.10.068 Ruiz-Peinado R, 2013, EUR J FOREST RES, V132, P253, DOI 10.1007/s10342-012-0672-z Ruiz-Peinado R, 2011, FOREST SYST, V20, P176, DOI 10.5424/fs/2011201-11643 Ruiz-Peinado R, 2016, MITIG ADAPT STRAT GL, V21, P1059, DOI 10.1007/s11027-014-9585-0 SAS, 1999, SAS ETS US GUID VERS Schneider CA, 2012, NAT METHODS, V9, P671, DOI 10.1038/nmeth.2089 Slodicak M, 2005, FOREST ECOL MANAG, V209, P157, DOI 10.1016/j.foreco.2005.01.011 Smith D.M., 1997, PRACTICE SILVICULTUR Tarpey RA, 2008, CAN J SOIL SCI, V88, P849, DOI 10.4141/CJSS08001 Throop HL, 2012, J ARID ENVIRON, V77, P66, DOI 10.1016/j.jaridenv.2011.08.020 Vesterdal L, 2013, FOREST ECOL MANAG, V309, P4, DOI 10.1016/j.foreco.2013.01.017 Wall A, 2012, FOREST ECOL MANAG, V282, P175, DOI 10.1016/j.foreco.2012.07.012 Zhou D, 2013, BIOGEOSCIENCES, V10, P3691, DOI 10.5194/bg-10-3691-2013 NR 60 TC 16 Z9 16 U1 2 U2 38 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0378-1127 EI 1872-7042 J9 FOREST ECOL MANAG JI For. Ecol. Manage. PD DEC 1 PY 2015 VL 357 BP 259 EP 267 DI 10.1016/j.foreco.2015.08.005 PG 9 WC Forestry SC Forestry GA CW3KY UT WOS:000364892400026 DA 2019-04-09 ER PT J AU Iqbal, A Zhang, HC Kong, LL Hussain, G AF Iqbal, Asif Zhang, Hong-Chao Kong, Lu Lu Hussain, Ghulam TI A rule-based system for trade-off among energy consumption, tool life, and productivity in machining process SO JOURNAL OF INTELLIGENT MANUFACTURING LA English DT Article DE Sustainability; Grooving; Fuzzy reasoning; AISI 4340; Prediction; Optimization ID FUZZY EXPERT-SYSTEM; NEURAL-NETWORK; PERFORMANCE-MEASURES; MILLING PROCESS; DATA SELECTION; OPTIMIZATION; PARAMETERS; OPERATIONS AB With ever-increasing understanding of environmental and societal concerns, the focus of manufacturing industries, worldwide, is fast changing from mere profit-making to ensuring sustainability. The companies are striving hard to make their manufacturing processes more environment-friendly, in addition to being cost effective and time- and resource-efficient. The paper presents an experimental investigation and an application of fuzzy modeling for trade-off among energy consumption, tool life, and productivity of a metal cutting (machining) process. A total of 54 grooving experiments are performed under various pre-determined combinations of the workpiece material hardness, cutting speed, cutting feed, and width of cut. The respective measurements are taken for tool damage, energy consumed, and cutting and feed forces. A fuzzy rule-based system is developed that consists of two modules: optimization and prediction. The former suggests the most suitable settings for the cutting parameters that would lead to accomplishment of various combinations of the objectives related to energy consumption, tool life, and machining productivity. The prediction module works out the predicted values of all the responses based on the finalized values of the four input parameters. C1 [Iqbal, Asif] Air Univ, Inst Avion & Aeronaut, Dept Mech & Aerosp Engn, Islamabad 44230, Pakistan. [Zhang, Hong-Chao; Kong, Lu Lu] Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China. [Hussain, Ghulam] Eastern Mediterranean Univ, Dept Mech Engn, Famagusta, Turkey. RP Iqbal, A (reprint author), Air Univ, Inst Avion & Aeronaut, Dept Mech & Aerosp Engn, Islamabad 44230, Pakistan. EM asif.asifiqbal@gmail.com RI Zhang, Hongchao/P-3210-2016 OI Zhang, Hongchao/0000-0003-2716-3267; Hussain, G/0000-0002-9642-0303 CR Al-Hazza Muataz Hazza Faizi, 2011, Journal of Applied Sciences, V11, P2578, DOI 10.3923/jas.2011.2578.2584 Arezoo B, 2000, COMPUT IND, V42, P43, DOI 10.1016/S0166-3615(99)00051-2 Ashhab MS, 2014, J INTELL MANUF, V25, P77, DOI 10.1007/s10845-012-0676-z Balogun VA, 2013, J CLEAN PROD, V41, P179, DOI 10.1016/j.jclepro.2012.10.015 Bricenco JF, 2002, INT J MACH TOOL MANU, V42, P663, DOI 10.1016/S0890-6955(02)00008-1 Cakir MC, 2005, ROBOT CIM-INT MANUF, V21, P175, DOI 10.1016/j.rcim.2004.07.015 Diaz N., 2010, SUST SYST TECHN ISSS, P1 Dietmair A, 2009, INT J SUSTAIN ENG, V2, P123, DOI 10.1080/19397030902947041 Hashmi K, 2003, J MATER PROCESS TECH, V135, P44, DOI 10.1016/S0924-0136(02)01011-7 Hashmi K, 1999, J MATER PROCESS TECH, V94, P94, DOI 10.1016/S0924-0136(99)00086-2 He Y, 2012, J CLEAN PROD, V23, P167, DOI 10.1016/j.jclepro.2011.10.033 Hueting R, 2004, ECOL ECON, V50, P249, DOI 10.1016/j.ecolecon.2004.03.031 Iqbal A, 2007, EXPERT SYST APPL, V32, P1020, DOI 10.1016/j.eswa.2006.02.003 Iqbal A, 2011, EXPERT SYST APPL, V38, P4802, DOI 10.1016/j.eswa.2010.09.166 Iqbal A, 2010, J INTELL MANUF, V21, P761, DOI 10.1007/s10845-009-0252-3 Lee BY, 1998, J MATER PROCESS TECH, V74, P149, DOI 10.1016/S0924-0136(97)00263-X Mativenga PT, 2011, CIRP ANN-MANUF TECHN, V60, P149, DOI 10.1016/j.cirp.2011.03.088 Mori M, 2011, CIRP ANN-MANUF TECHN, V60, P145, DOI 10.1016/j.cirp.2011.03.099 Nandi AK, 2009, MECHATRONICS, V19, P218, DOI 10.1016/j.mechatronics.2008.08.004 Ojha DK, 2009, INT J MATER PROD TEC, V35, P145, DOI 10.1504/IJMPT.2009.025224 Orchard R. A., 1998, FUZZY CLIPS VERSION Porwal R. K., 2012, INT J MECHATRONICS M, V5, P470 Pusavec F, 2010, J CLEAN PROD, V18, P174, DOI 10.1016/j.jclepro.2009.08.010 Rajemi MF, 2010, J CLEAN PROD, V18, P1059, DOI 10.1016/j.jclepro.2010.01.025 Tsao CC, 2008, J MATER PROCESS TECH, V203, P342, DOI 10.1016/j.jmatprotec.2006.04.126 Wong SV, 1999, J MATER PROCESS TECH, V90, P310, DOI 10.1016/S0924-0136(99)00127-2 Xie D, 2012, APPL MECH MATER, V195-196, P770, DOI 10.4028/www.scientific.net/AMM.195-196.770 Xiong J, 2014, J INTELL MANUF, V25, P157, DOI 10.1007/s10845-012-0682-1 NR 28 TC 12 Z9 12 U1 1 U2 25 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0956-5515 EI 1572-8145 J9 J INTELL MANUF JI J. Intell. Manuf. PD DEC PY 2015 VL 26 IS 6 BP 1217 EP 1232 DI 10.1007/s10845-013-0851-x PG 16 WC Computer Science, Artificial Intelligence; Engineering, Manufacturing SC Computer Science; Engineering GA CW5CU UT WOS:000365013800012 DA 2019-04-09 ER PT J AU Lautala, PT Hilliard, MR Webb, E Busch, I Hess, JR Roni, MS Hilbert, J Handler, RM Bittencourt, R Valente, A Laitinen, T AF Lautala, Pasi T. Hilliard, Michael R. Webb, Erin Busch, Ingrid Hess, J. Richard Roni, Mohammad S. Hilbert, Jorge Handler, Robert M. Bittencourt, Roger Valente, Amir Laitinen, Tuuli TI Opportunities and Challenges in the Design and Analysis of Biomass Supply Chains SO ENVIRONMENTAL MANAGEMENT LA English DT Article DE Bioenergy; Supply chain; Transportation; Logistics; Sustainability; Pan American ID ASSESSMENT MODEL; COVER CROPS; LOGISTICS; OPTIMIZATION; BIOENERGY; FOREST; SCALE; TRANSPORTATION; BIOREFINERY; SUSTAINABILITY AB The biomass supply chain is one of the most critical elements of large-scale bioenergy production and in many cases a key barrier for procuring initial funding for new developments on specific energy crops. Most productions rely on complex transforming chains linked to feed and food markets. The term 'supply chain' covers various aspects from cultivation and harvesting of the biomass, to treatment, transportation, and storage. After energy conversion, the product must be delivered to final consumption, whether it is in the form of electricity, heat, or more tangible products, such as pellets and biofuels. Effective supply chains are of utmost importance for bioenergy production, as biomass tends to possess challenging seasonal production cycles and low mass, energy and bulk densities. Additionally, the demand for final products is often also dispersed, further complicating the supply chain. The goal of this paper is to introduce key components of biomass supply chains, examples of related modeling applications, and if/how they address aspects related to environmental metrics and management. The paper will introduce a concept of integrated supply systems for sustainable biomass trade and the factors influencing the bioenergy supply chain landscape, including models that can be used to investigate the factors. The paper will also cover various aspects of transportation logistics, ranging from alternative modal and multi-modal alternatives to introduction of support tools for transportation analysis. Finally gaps and challenges in supply chain research are identified and used to outline research recommendations for the future direction in this area of study. C1 [Lautala, Pasi T.] Michigan Technol Univ, Dept Civil & Environm Engn, Houghton, MI 49931 USA. [Hilliard, Michael R.; Webb, Erin; Busch, Ingrid] Oak Ridge Natl Lab, Oak Ridge, TN USA. [Hess, J. Richard; Roni, Mohammad S.] Idaho Natl Lab, Idaho Falls, ID USA. [Hilbert, Jorge] Inst Nacl Tecnol Agr, Buenos Aires, DF, Argentina. [Handler, Robert M.] Michigan Technol Univ, Sustainable Futures Inst, Houghton, MI 49931 USA. [Bittencourt, Roger; Valente, Amir] Univ Fed Santa Catarina, LabTrans, Florianopolis, SC, Brazil. [Laitinen, Tuuli] Lappeenranta Univ Technol, Savo Sustainable Technol, Mikkeli, Finland. RP Lautala, PT (reprint author), Michigan Technol Univ, Dept Civil & Environm Engn, Houghton, MI 49931 USA. EM ptlautal@mtu.edu RI Hilliard, Michael/C-3270-2016; Roni, Mohammad/C-6023-2017 OI Hilliard, Michael/0000-0002-4450-9250; Roni, Mohammad/0000-0001-7114-9820 FU US National Science Foundation [CBET-1140152] FX This material is based upon work supported in part by the US National Science Foundation Grant CBET-1140152 "RCN-SEES: A Research Coordination Network on Pan American Biofuels and Bioenergy Sustainability.'' CR Abbas D, 2014, CROAT J FOR ENG, V35, P179 ANL NREL PNNL, 2012, ANLESD124 NREL PNNL ASABE, 2011, 4977 ASABE Ayoub N, 2009, COMPUT CHEM ENG, V33, P1770, DOI 10.1016/j.compchemeng.2009.01.006 Birrell SJ, 2014, BIOENERG RES, V7, P509, DOI 10.1007/s12155-014-9418-8 Bonner IJ, 2014, BIOENERG RES, V7, P576, DOI 10.1007/s12155-014-9423-y Carlsson D, 2007, CAN J FOREST RES, V37, P2612, DOI 10.1139/X07-106 CAST (Council for Agricultural Science and Technology), 2012, 48 CAST Choi CH, 2009, SEOUL STUDIES, V10, P115 Dale VH, 2013, ECOL INDIC, V26, P87, DOI 10.1016/j.ecolind.2012.10.014 Douglas L. K., 2013, Agrociencia (Montevideo), V17, P121 Drigo R, 2009, ANALISIS BALANCE ENE Ebadian M, 2014, BIOFUEL BIOPROD BIOR, V8, P171, DOI 10.1002/bbb.1446 Ebadian M, 2011, BIOSYST ENG, V110, P280, DOI 10.1016/j.biosystemseng.2011.08.008 Elliott D. C., 2009, PNNL18944 Environmental Protection Agency, 2014, CLEAN POW PLAN Fan KQ, 2013, RENEW ENERG, V50, P786, DOI 10.1016/j.renene.2012.08.022 Fohr J, 2013, 21 EUR BIOM C EXH BE Forest Resources Association, 2006, FOR RES ASS PUBL Gronalt M, 2007, BIOMASS BIOENERG, V31, P393, DOI 10.1016/j.biombioe.2007.01.007 Handler RM, 2012, ALGAL RES, V1, P83, DOI 10.1016/j.algal.2012.02.003 Hartman-Baker RJ, 2009, CRAY US GROUP C ATL Hess J. R., 2009, INLEXT0814752 Hilbert J., 2014, EVOLUCION PERCEPCION Hilbert J. A., 2013, 3 INTA IANA (Intermodal Association of North America), 2014, TOT INT LOAD 2000 20 Johnson JMF, 2014, BIOENERG RES, V7, P481, DOI 10.1007/s12155-013-9402-8 Kopytov E, 2012, TRANSP TELECOMMUN J, V13, P148, DOI 10.2478/v10244-012-0012-x Kumar A, 2007, BIORESOURCE TECHNOL, V98, P1033, DOI 10.1016/j.biortech.2006.04.027 Kumar A, 2006, APPL BIOCHEM BIOTECH, V129, P71, DOI 10.1385/ABAB:129:1:71 Kurka T, 2012, BIOMASS BIOENERG, V46, P366, DOI 10.1016/j.biombioe.2012.08.004 Laitinen T, 2013, INT MARKET COMPOSITE Laitinen T, 2012, THESIS AALTO U Lautala PT, 2012, MICHIGAN EC DEV CORP Lautala PT, 2011, TRANSP RES BOARD 90 Lee RG, 1992, INTEGRATING SUSTAINA, P499 Lei K, 2014, MATH PROBL ENG, DOI 10.1155/2014/932832 Lin T, 2014, BIORESOURCE TECHNOL, V156, P256, DOI 10.1016/j.biortech.2013.12.121 Lowe D., 2005, INTERMODAL FREIGHT T Mafakheri F, 2014, ENERG POLICY, V67, P116, DOI 10.1016/j.enpol.2013.11.071 Mahmoudi M, 2009, SCAND J FOREST RES, V24, P76, DOI 10.1080/02827580802660397 McBride AC, 2011, ECOL INDIC, V11, P1277, DOI 10.1016/j.ecolind.2011.01.010 McDonald TP, 2001, 1 INT PREC FOR S SEA, P12 Mendell BC, 2006, SOUTH J APPL FOR, V30, P86 MIBjorn LG, 1984, CHANGES SWEDISH TRAN Mobini M, 2011, APPL ENERG, V88, P1241, DOI 10.1016/j.apenergy.2010.10.016 Muth DJ, 2012, AGRON J, V104, P970, DOI 10.2134/agronj2012.0024 NACD, 2008, WOOD BIOM DESK GUID Natl. Acad. Sci. Natl. Acad. Eng. Natl. Res. Counc., 2009, LIQ TRANSP FUELS COA Oshita K, 2011, NIHON ENERUGI GAKKAI, V90, P1047 Parish ES, 2012, BIOFUEL BIOPROD BIOR, V6, P58, DOI 10.1002/bbb.342 Perlack R. D., 2011, ORNLTM2011224 US DOE Portz T, 2013, BIOMASS MAGAZINE Pratt MR, 2014, AGR SYST, V130, P67, DOI 10.1016/j.agsy.2014.06.008 Prinz R, 2013, TECHNOLOGY PUSH TECH Reis V, 2013, RES TRANSP ECON, V41, P17, DOI 10.1016/j.retrec.2012.10.005 RFA (Renewable Fuels Association), 2014, BIOR LOC Ruiz JA, 2013, BIOMASS BIOENERG, V56, P260, DOI 10.1016/j.biombioe.2013.05.014 Scherr SJ, 2008, PHILOS T R SOC B, V363, P477, DOI 10.1098/rstb.2007.2165 Schroeder R., 2007, BIOMASS TRANSPORTATI Searcy E, 2007, APPL BIOCHEM BIOTECH, V137, P639, DOI 10.1007/s12010-007-9085-8 Sharma B, 2013, BIORESOURCE TECHNOL, V150, P163, DOI 10.1016/j.biortech.2013.09.120 Sokhansanj S, 2010, BIOMASS BIOENERG, V34, P75, DOI 10.1016/j.biombioe.2009.10.001 Sokhansanj S, 2006, BIOMASS BIOENERG, V30, P838, DOI 10.1016/j.biombioe.2006.04.004 Sokhansanj S, 2009, BIOFUEL BIOPROD BIOR, V3, P124, DOI 10.1002/bbb.129 Stephen JD, 2010, BIOSYST ENG, V105, P298, DOI 10.1016/j.biosystemseng.2009.11.008 Stewart RD, 2010, STUDY GREENHOUSE GAS Turhollow Jr A.F., 2009, COST METHODOLOGY BIO US DOE (Department of Energy), 2012, BIOMASS MULT PROGR P Wojnar Z, 2010, RENEWABLE FUELS ROAD Wolfsmayr UJ, 2013, BIOMASS BIOENERG, V60, P203 Yue DJ, 2014, COMPUT CHEM ENG, V66, P36, DOI 10.1016/j.compchemeng.2013.11.016 NR 72 TC 9 Z9 9 U1 1 U2 51 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 0364-152X EI 1432-1009 J9 ENVIRON MANAGE JI Environ. Manage. PD DEC PY 2015 VL 56 IS 6 BP 1397 EP 1415 DI 10.1007/s00267-015-0565-2 PG 19 WC Environmental Sciences SC Environmental Sciences & Ecology GA CV0SC UT WOS:000363961900008 PM 26122631 DA 2019-04-09 ER PT J AU Dammert, AC Mohan, S AF Dammert, Ana C. Mohan, Sarah TI A SURVEY OF THE ECONOMICS OF FAIR TRADE SO JOURNAL OF ECONOMIC SURVEYS LA English DT Article DE Developing countries; Fair Trade; Market efficiency ID GLOBAL FREE-TRADE; NORTHERN NICARAGUA; COFFEE PRODUCTION; ORGANIC COFFEE; CHILD LABOR; ORGANIZATIONS; CERTIFICATION; TIDE; ERA; SUSTAINABILITY AB Fair Trade has spread in developing countries as an initiative aimed at lifting poor smallholder farmers out of poverty by providing them with premium prices, availability of credit, and improved community development and social goods. Fair Trade is also viewed as a niche market for high value products in a context of globalization and trade liberalization policies that affect smallholder farmers in developing countries. This paper provides an overview of the potential effects of Fair Trade, both theoretical and empirical, on small-scale producers in developing countries. Our review discusses the empirical evidence on prices and income, as well as the importance of limited market access and productivity. We discuss evidence on labor markets and human capital investments as well. C1 [Dammert, Ana C.; Mohan, Sarah] Carleton Univ, Ottawa, ON K1S 5B6, Canada. RP Dammert, AC (reprint author), Carleton Univ, Ottawa, ON K1S 5B6, Canada. EM ana_dammert@carleton.ca FU Social Sciences and Humanities Research Council of Canada (SSHRC) FX This research has benefited from comments and suggestions received by two anonymous referees. Ana C. Dammert gratefully acknowledges financial support from the Social Sciences and Humanities Research Council of Canada (SSHRC). Any errors and omissions are our own. First Version: March 2013. CR [Anonymous], 2001, FAIR TRAD DEF PRINC Arnould EJ, 2009, J PUBLIC POLICY MARK, V28, P186, DOI 10.1509/jppm.28.2.186 Bacon C, 2005, WORLD DEV, V33, P497, DOI 10.1016/j.worlddev.2004.10.002 Baland JM, 2009, J PUBLIC ECON, V93, P1125, DOI 10.1016/j.jpubeco.2009.08.002 Barham BL, 2012, WORLD DEV, V40, P1269, DOI 10.1016/j.worlddev.2011.11.005 Barham BL, 2011, WORLD DEV, V39, P134, DOI 10.1016/j.worlddev.2010.08.005 Baumann F, 2012, J INT DEV, V24, pS159, DOI 10.1002/jid.1736 Beuchelt TD, 2011, ECOL ECON, V70, P1316, DOI 10.1016/j.ecolecon.2011.01.005 Bezencon V, 2011, SUSTAIN DEV, V19, P60, DOI 10.1002/sd.420 Blackman A, 2011, CONSERV BIOL, V25, P1176, DOI 10.1111/j.1523-1739.2011.01774.x Blackmore E., 2012, PROPOOR CERTIFICATIO Blowfield ME, 2010, J BUS ETHICS, V93, P143, DOI 10.1007/s10551-010-0558-2 Bolwig S, 2009, WORLD DEV, V37, P1094, DOI 10.1016/j.worlddev.2008.09.012 Breimer M., 2011, RADB U NIJM ETSG M Calo M., 2005, REVALUING PEASANT CO De Janvry A, 2011, WORKING PAPER Dragusanu R., 2013, EC FAIR TRADE UNPUB Dragusanu R., 2013, IMPACT FAIR TR UNPUB Edmonds EV, 2005, J ECON PERSPECT, V19, P199, DOI 10.1257/0895330053147895 FLO, 2012, MON SCOP BEN F UNPUB FLO, 2011, FAIRTR STAND S UNPUB FLO-CERT, 2011, FEE SYST SMALL UNPUB Fort R, 2009, IMPACT OF FAIR TRADE, P49 Fort R, 2009, IMPACT OF FAIR TRADE, P75 Geiger-Oneto S, 2011, J MACROMARKETING, V31, P276, DOI 10.1177/0276146711405668 HAYES M, 2006, REV SOC ECON, V64, P447, DOI DOI 10.1080/00346760601024419 Hayes MG, 2008, WORLD DEV, V36, P2953, DOI 10.1016/j.worlddev.2008.01.017 Jaffee D, 2009, IMPACT OF FAIR TRADE, P195 Kruger DI, 2007, J DEV ECON, V82, P448, DOI 10.1016/j.jdeveco.2006.04.003 Leclair MS, 2008, WORLD DEV, V36, P2962, DOI 10.1016/j.worlddev.2008.06.006 Leclair MS, 2002, WORLD DEV, V30, P949, DOI 10.1016/S0305-750X(02)00017-7 Makita R, 2012, DEV POLICY REV, V30, P87, DOI 10.1111/j.1467-7679.2012.00561.x Maseland R, 2009, IMPACT OF FAIR TRADE, P223 Mendez VE, 2010, RENEW AGR FOOD SYST, V25, P236, DOI 10.1017/S1742170510000268 Nelson V, 2009, LAST 10 YEARS COMPRE Raynolds L. T., 2004, Journal of International Development, V16, P1109, DOI 10.1002/jid.1136 Richardson M., 2007, FAIR TRADE Riisgaard L, 2009, WORLD DEV, V37, P326, DOI 10.1016/j.worlddev.2008.03.003 Ronchi L., 2006, WPS4011 WORLD BANK Ronchi Lorraine, 2002, 11 U SUSS POV RES UN Ruben R, 2009, IMPACT OF FAIR TRADE, P1, DOI 10.3920/978-90-8686-647-2 Ruben R, 2009, IMPACT OF FAIR TRADE, P155 Ruben R, 2009, IMPACT OF FAIR TRADE, P137 Ruben R, 2011, SUPPLY CHAIN MANAG, V16, P98, DOI 10.1108/13598541111115356 Saenz-Segura F, 2009, IMPACT OF FAIR TRADE, P117 Utting-Chamorro K, 2005, DEV PRACT, V15, P584, DOI 10.1080/09614520500075706 Vagneron I, 2010, WHAT DO WE REALLY KN Valkila J, 2010, AGR HUM VALUES, V27, P321, DOI 10.1007/s10460-009-9208-7 Valkila J, 2009, ECOL ECON, V68, P3018, DOI 10.1016/j.ecolecon.2009.07.002 Weber JG, 2011, FOOD POLICY, V36, P678, DOI 10.1016/j.foodpol.2011.05.007 Zuniga-Arias G, 2009, IMPACT OF FAIR TRADE, P99 NR 51 TC 4 Z9 4 U1 2 U2 68 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0950-0804 EI 1467-6419 J9 J ECON SURV JI J. Econ. Surv. PD DEC PY 2015 VL 29 IS 5 BP 855 EP 868 DI 10.1111/joes.12091 PG 14 WC Economics SC Business & Economics GA CU1EP UT WOS:000363262900001 DA 2019-04-09 ER PT J AU Richter, JL Mundaca, L AF Richter, Jessika Luth Mundaca, Luis TI Achieving and maintaining institutional feasibility in emissions trading: the case of New Zealand SO MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE LA English DT Article DE Climate change mitigation; Emissions trading scheme; Institutional feasibility; New Zealand; Policy evaluation ID POLITICAL-ECONOMY; POLICY; CHALLENGES; SUSTAINABILITY AB Emission trading schemes (ETS) have emerged as a popular climate policy measure and are increasingly advocated as policy instruments to support the transition to a green economy. Using complementary analytical methods, this research investigated the institutional developments and complexities of the New Zealand Emissions Trading Scheme (NZ ETS). It focuses on (1) institutional experience and administrative capacity, and (2) political acceptance during formation, design, implementation, and review. The research answer questions concerning critical conditions that have affected the institutional feasibility of the NZ ETS and the trade-offs in achieving and maintaining institutional feasibility. The experience in New Zealand has demonstrated that bipartisan political support and obliged participant acceptance for an ETS can be achieved and the administrative burden can be kept low through an inclusive consultation process and particular aspects of design to provide more certainty about costs. However, this institutional feasibility has also been a trade-off with other important aspects such as environmental effectiveness, predictability, and legitimacy, posing risks to maintaining political acceptance of the policy design and achieving the longer term objectives of transitioning to a green economy. C1 [Richter, Jessika Luth; Mundaca, Luis] Lund Univ, Int Inst Ind Environm Econ, Lund, Sweden. RP Richter, JL (reprint author), Lund Univ, Int Inst Ind Environm Econ, Lund, Sweden. EM jessika.luth.richter@iiiee.lu.se OI Mundaca, Luis/0000-0002-1090-7744; Richter, Jessika/0000-0001-5786-5927 FU Swedish Energy Agency [33684-1] FX The authors are very grateful to the AES Research Programme of the Swedish Energy Agency for financial support through grant No. 33684-1. We thank the stakeholders who gave us time for interviews and responded to questionnaires; our research benefitted greatly from their insight and experience. Finally, this manuscript benefitted from the helpful comments and suggestions from peer reviewers and we thank them for their time and efforts. CR Adger WN, 2003, ENVIRON PLANN A, V35, P1095, DOI 10.1068/a35289 Aldy JE, 2012, J ENVIRON DEV, V21, P152, DOI 10.1177/1070496512442508 Andersen M. S., 2000, MARKET BASED INSTRUM Australian Government, 2012, CLEAN EN FUT LINK AU Barbier E. B., 2013, NEW BLUEPRINT GREEN Barbier E, 2011, NAT RESOUR FORUM, V35, P233, DOI 10.1111/j.1477-8947.2011.01397.x Bell RG, 2005, NO MAGIC SOLUTIONS W Bertram G, 2010, CARBON CHALLENGE NZ Bibbee A, 2011, 893 OECD EC DEP Boyd J, 2003, ENVIRON SCI TECHNOL, V37, p216A, DOI 10.1021/es032462t BRADBURY JA, 1989, SCI TECHNOL HUM VAL, V14, P380, DOI 10.1177/016224398901400404 Braun M, 2009, ACCOUNT ORG SOC, V34, P469, DOI 10.1016/j.aos.2008.06.002 Brunner S, 2012, CLIM POLICY, V12, P255, DOI 10.1080/14693062.2011.582327 Bullock D, 2012, ENVIRON POLIT, V21, P657, DOI 10.1080/09644016.2012.688359 Business New Zealand, 2011, EM TRAD SCHEM UNPUB COASE RH, 1960, J LAW ECON, V3, P1, DOI 10.1086/466560 Cook Anna-Luis, 2004, MANAGING OUTCOMES NZ Cooper MH, 2013, CLIM POLICY, V13, P110, DOI 10.1080/14693062.2012.699786 Coria J, 2010, PROGR GHG MARKETS OP Covec, 2011, IMP NZ ETS ACT VS EX Dales John H., 1968, POLLUTION PROPERTY P Davison I, 2012, GOVTS DILUTED ETS BR Dunn W. N., 1981, PUBLIC POLICY ANAL I Egenhofer Christian, 2007, European Management Journal, V25, P453, DOI 10.1016/j.emj.2007.07.004 Ellerman A. D., 2010, PRICING CARBON EUROP Ellerman A. Denny, 2007, ALLOCATION EUROPEAN Ellerman AD, 2004, ORG EC COOPERATION D, P71, DOI DOI 10.1787/9789264015036-EN Emissions Trading Scheme Review Panel (ETSRP), 2011, DOING NZ FAIR SHAR E EPA, 2013, NZ EM UN REG ETS Review Panel, 2011, ETS REV 2011 SUMM SU Evans David A., 2004, CHOOSING ENV POLICY Fallow B, 2013, DIRE RESPONSE CLIMAT Federated Farmers, 2011, EMISSIONS TRAD UNPUB Finance and Expenditure Committee (FEC), 2009, CLIM CHANG RESP MOD Finance and Expenditure Committee (FEC), 2012, CLIM CHANG EM TRAD M Griffiths E, 2013, T ABBOTT HAVE CARBON Groser T, 2012, GROSER WELCOMES ASSU Gupta S., 2007, CLIMATE CHANGE 2007 Hahn R. W., 2011, J LAW ECON, V54, pS267, DOI DOI 10.1086/661942 Hahn RW, 2000, J ENVIRON ECON MANAG, V39, P375, DOI 10.1006/jeem.1999.1119 Hajer M.A., 2005, J ENVIRON POL PLAN, V7, P175, DOI DOI 10.1080/15239080500339646 Harrington W, 2004, RESOURCES FUTURE Hood C, 2010, POLICY Q, V6, P30 Howes M., 2005, POLITICS ENV RISK RO International Energy Agency (IEA), 2011, EN POL IEA COUNTR NZ Jacoby HD, 2004, ENERG POLICY, V32, P481, DOI 10.1016/S0301-4215(03)00150-2 Jiang N, 2009, NZ EC PAPERS, V43, P69, DOI [10.1080/00779950902803993, DOI 10.1080/00779950902803993] Joskow PL, 1998, J LAW ECON, V41, P37, DOI 10.1086/467384 Jotzo F, 2012, NAT CLIM CHANGE, V2, P475, DOI 10.1038/nclimate1607 Karpas E, 2011, 1109 MOT Kerr S, 2007, REV PROPOSED NZ EMIS Labour Party, 2011, LAB PART MAN Manley B, 2013, DEFORESTATION SURVEY Markussen P, 2005, ENERG POLICY, V33, P245, DOI 10.1016/S0301-4215(03)00238-6 Martin P, 2010, POLICY RISK ASSESSME MELTSNER AJ, 1972, PUBLIC ADMIN REV, V32, P859, DOI 10.2307/974646 MfE (Ministry for Environment), 2013, NZ NET POS KYOT PROT Mickwitz P, 2009, NEW DIRECTIONS EVALU, V2009, P105, DOI DOI 10.1002/EV.300 Mickwitz P., 2003, EVALUATION, V9, P415, DOI DOI 10.1177/1356389003094004 Ministry for the Environment (MFE), 2009, GREENH GAS EM REM Ministry for the Environment (MFE), 2012, UPD NZ EM TRAD SCHEM Ministry for the Environment (MFE), 2011, REP NZ EM TRAD SCHEM Ministry for the Environment (MFE), 2012, CONS GOV PROP CHANG Ministry for the Environment (MfE), 2013, NZ ETS 2012 FACTS FI Ministry for the Environment (MFE), 2009, DEV IND ALL REG NZ E Ministry for the Environment (MFE), 2012, DEP REP CLIM CHANG R Ministry for the Environment (MFE), 2009, DEP REP CLIM CHANG R Ministry for the Environment (MFE) and The Treasury, 2007, FRAM NZ EM TRAD SCHE Moyes TE, 2008, ECOL LAW QUART, V35, P911 Mundaca L, 2013, NAT CLIM CHANGE, V3, P1006 Mundaca L, 2009, ENERG POLICY, V37, P4557, DOI 10.1016/j.enpol.2009.06.011 New Zealand Business Council for Sustainable Development, 2009, NZ ATT CLIM CHANG NA New Zealand Government, 2011, NZ GOV 2011 GAZ NZ 2 New Zealand Labour and National Parties, 2007, LETT MEM UN IN PRESS New Zealand Parliament, 2009, NZ PARL EV SUBM New Zealand Parliament, 2012, NZ PARL EV SUBM Nordhaus R. R., 2005, BC ENV AFF L REV, V32, P97 Numan-Parsons E, 2011, BUSINESS RESPONSES 1 Nye Michael, 2008, European Environment, V18, P1, DOI 10.1002/eet.468 OECD, 2012, INCL GREEN GROWTH FU Organisation for Economic Co-operation and Development (OECD) International Energy Agency (IEA), 2010, REV EX PROP EM TRAD Parliamentary Commissioner for the Environment, 2011, EM TRAD SCHEM REV Pearce DW, 1989, BLUEPRINT GREEN EC Philibert C, 2006, CERTAINTY VERSUS AMB Richter JL, 2013, CARBON MANAG, V4, P423, DOI [10.4155/CMT.13.33, 10.4155/cmt.13.33] Richter JL, 2012, THESIS LUND U Roper J, 2012, PUBLIC RELAT INQ, V1, P69, DOI 10.1177/2046147X11422147 Skjaerseth JB, 2009, GLOBAL ENVIRON POLIT, V9, P101, DOI 10.1162/glep.2009.9.2.101 Smellie P, 2012, TIMING HIGHER ETS CO Smith N., 2012, COMMUNICATION Stavins R., 2008, ENVIRON, V26, P16 Stavins R, 2003, MARKET BASED ENV POL Stavins R.N., 2012, LOW PRICES PROBLEM M Stavins RN, 2009, WONDERFUL POLITICS C, V26, P16 Sterk W, 2009, MITIG ADAPT STRAT GL, V14, P409, DOI 10.1007/s11027-009-9178-5 The Treasury, 2009, REG IMP STAT CLIM CH Tietenberg Tom, 2006, EMISSIONS TRADING PR UNEP, 2011, GREEN EC PATHW SUST Vedung E., 2009, PUBLIC POLICY PROGRA Venmans F, 2012, RENEW SUST ENERG REV, V16, P5493, DOI 10.1016/j.rser.2012.05.036 WEBBER DJ, 1986, POLICY STUD J, V14, P545, DOI 10.1111/j.1541-0072.1986.tb00360.x World Bank, 2013, MAPP CARB PRIC IN DE Wrake M, 2012, AMBIO, V41, P12, DOI 10.1007/s13280-011-0237-2 NR 103 TC 1 Z9 1 U1 1 U2 19 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 1381-2386 EI 1573-1596 J9 MITIG ADAPT STRAT GL JI Mitig. Adapt. Strateg. Glob. Chang. PD DEC PY 2015 VL 20 IS 8 BP 1487 EP 1509 DI 10.1007/s11027-014-9557-4 PG 23 WC Environmental Sciences SC Environmental Sciences & Ecology GA CU0ZG UT WOS:000363247700013 DA 2019-04-09 ER PT J AU Farmery, AK Gardner, C Green, BS Jennings, S Watson, RA AF Farmery, Anna K. Gardner, Caleb Green, Bridget S. Jennings, Sarah Watson, Reg A. TI Domestic or imported? An assessment of carbon footprints and sustainability of seafood consumed in Australia SO ENVIRONMENTAL SCIENCE & POLICY LA English DT Article DE Imports; Seafood trade; Supply chain; Life cycle assessment; Food miles; Sustainable seafood ID LIFE-CYCLE ASSESSMENT; NORTHERN PRAWN FISHERY; AQUACULTURE SYSTEMS; LOCAL FOOD; ENVIRONMENTAL PERFORMANCE; EMISSIONS IMPACTS; GREENHOUSE-GAS; UNITED-STATES; NW SPAIN; PERSPECTIVE AB The distance between where food is produced and consumed is increasing, and is often taken as evidence of an unsustainable global food system. Seafood is a highly traded commodity yet seafood sustainability assessments do not typically consider the impacts of the movement of products beyond the fishery or farm. Here we use life cycle assessment to examine the carbon footprint of the production and distribution of select seafood products that are consumed in Australia and determine differences in the sustainability of imports and their domestically produced counterparts. We found that the distance food is transported is not the main determinant of food sustainability. Despite the increased distance between production and consumption, carbon footprints of meals from imported seafood are similar to meals consisting of domestically produced seafood, and sometimes lower, depending on the seafood consumed. In combining LCA with existing seafood sustainability criteria the trade-offs between sustainability targets become more apparent. Carbon 'footprinting' is one metric that can be incorporated in assessments of sustainability, thereby demonstrating a broader perspective of the environmental cost of food production and consumption. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Farmery, Anna K.; Gardner, Caleb; Green, Bridget S.; Watson, Reg A.] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7001, Australia. [Jennings, Sarah] Univ Tasmania, Tasmanian Sch Business & Econ, Hobart, Tas 7001, Australia. RP Farmery, AK (reprint author), Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7001, Australia. EM Anna.Farmery@utas.edu.au; Caleb.Gardner@utas.edu.au; Bridget.Green@utas.edu.au; Sarah.jennings@utas.edu.au; R.A.Watson@utas.edu.au RI Farmery, Anna/H-9696-2014; Watson, Reg/F-4850-2012; Gardner, Caleb/I-7086-2013 OI Farmery, Anna/0000-0002-8938-0040; Watson, Reg/0000-0001-7201-8865; Gardner, Caleb/0000-0003-0324-4337 FU Australian National Network in Marine Science (ANNIMS); Fisheries Research and Development Corporation (FRDC) Building Economic Capability in Fisheries Project; Marine National Adaptation Research Plan (NARP) project - Australian Government [2011/233]; Australian Research Council Discovery Project [DP140101377] FX Ethics approval was obtained from the Tasmanian Ethics Committee and granted as minimal risk (reference H12188). This work was supported by the Australian National Network in Marine Science (ANNIMS), the Fisheries Research and Development Corporation (FRDC) Building Economic Capability in Fisheries Project, the Marine National Adaptation Research Plan (NARP) project 2011/233, funded by the Australian Government. The authors acknowledge funding support from the Australian Research Council Discovery Project support (DP140101377). CR ABARES, 2012, AUSTR FISH STAT Ahmed N, 2010, MAR POLICY, V34, P218, DOI 10.1016/j.marpol.2009.06.008 Almeida C., 2015, J IND ECOL Almeida C, 2014, INT J LIFE CYCLE ASS, V19, P206 Andersen O, 2002, J CLEAN PROD, V10, P581, DOI 10.1016/S0959-6526(01)00057-9 Aubin J, 2015, AQUACULTURE, V435, P217, DOI 10.1016/j.aquaculture.2014.09.019 Avadi A, 2013, FISH RES, V143, P21, DOI 10.1016/j.fishres.2013.01.006 Avetisyan M, 2014, ENVIRON RESOUR ECON, V58, P415, DOI 10.1007/s10640-013-9706-3 Ayer NW, 2009, J CLEAN PROD, V17, P362, DOI 10.1016/j.jclepro.2008.08.002 Baruthio A., 2008, 6 INT C LIF CYCL ASS Baumann H., 2004, HITCH HIKERS GUIDE L Bondad-Reantaso MG, 2005, VET PARASITOL, V132, P249, DOI 10.1016/j.vetpar.2005.07.005 Bosma R, 2011, INT J LIFE CYCLE ASS, V16, P903, DOI 10.1007/s11367-011-0324-4 Boyd C., 2008, THESIS DALHOUSIE U Burridge L, 2010, AQUACULTURE, V306, P7, DOI 10.1016/j.aquaculture.2010.05.020 Campbell B, 2014, NATURE, V509, P288, DOI 10.1038/509288c Cao L, 2015, SCIENCE, V347, P133, DOI 10.1126/science.1260149 Cao L, 2011, ENVIRON SCI TECHNOL, V45, P6531, DOI 10.1021/es104058z Cederberg C., 2011, GLOBAL FOOD LOSSES F Coley D, 2013, SUSTAINABLE FOOD PRO, P497 Curran M., 2010, ENVIRON SCI TECHNOL, V45, P70 DAFF, 2013, NAT FOOD PLAN OUR FO Danenberg N, 2012, 2008779 FISH RES DEV Department of Agriculture, 2013, AUSTR SEAF TRAD Diana JS, 2009, BIOSCIENCE, V59, P27, DOI 10.1525/bio.2009.59.1.7 Driscoll J., 2008, THESIS DALHOUSIE U Driscoll J, 2010, MAR POLICY, V34, P353, DOI 10.1016/j.marpol.2009.08.005 Edwards-Jones G, 2008, TRENDS FOOD SCI TECH, V19, P265, DOI 10.1016/j.tifs.2008.01.008 Ercsey-Ravasz M, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0037810 Eshel G, 2014, P NATL ACAD SCI USA, V111, P11996, DOI 10.1073/pnas.1402183111 FAO, 2014, STAT WORLD FISH AQ 2 FAO, 2012, STAT WORLD FISH AQ 2 FAOSTAT/Tradestat, 2009, GLOB TRENDS FOOD EXP Farmery A, 2015, J CLEAN PROD, V87, P96, DOI 10.1016/j.jclepro.2014.10.063 Farmery A., 2015, THESIS U TASMANIA Farmery A, 2014, J CLEAN PROD, V64, P368, DOI 10.1016/j.jclepro.2013.10.016 Garnett T, 2009, ENVIRON SCI POLICY, V12, P491, DOI 10.1016/j.envsci.2009.01.006 Garside B., 2008, REV FOOD MILES CARBO Gillett R, 2008, 475 FAO UN Glencross B, 2014, AQUACULTURE, V431, P12, DOI 10.1016/j.aquaculture.2014.02.033 Heasman M., 2009, FOOD WARS GLOBAL BAT Hendrickson M.K., 2002, SOCIOL RURALIS, V42, P426 Henriksson P., 2014, RESULTS LCA STUDIES Henriksson P.J.G., 2015, MANGROVE SHRIMP FARM Henriksson PJG, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121221 Henriksson PJG, 2012, INT J LIFE CYCLE ASS, V17, P304, DOI 10.1007/s11367-011-0369-4 Hilborn R., 2015, CAN J FISH IN PRESS Hiraishi T, 2013, INTERGOVERNMENTAL PA Hogan L, 2009, 0918 ABARE Hospido A, 2006, RESOUR CONSERV RECY, V47, P56, DOI 10.1016/j.resconrec.2005.10.003 Hospido A, 2005, FISH RES, V76, P174, DOI 10.1016/j.fishres.2005.05.016 Iribarren D, 2010, SCI TOTAL ENVIRON, V408, P5284, DOI 10.1016/j.scitotenv.2010.07.082 ISO, 2006, 14044 ISO La Trobe HL, 2000, INT J SUST DEV WORLD, V7, P309, DOI 10.1080/13504500009470050 Lack M., 2010, REPORT M LACK DEP EN Mungkung R, 2013, J CLEAN PROD, V57, P249, DOI 10.1016/j.jclepro.2013.05.029 Naylor RL, 2000, NATURE, V405, P1017, DOI 10.1038/35016500 Olson J, 2014, MAR POLICY, V43, P104, DOI 10.1016/j.marpol.2013.05.001 Paez-Osuna F, 2001, ENVIRON POLLUT, V112, P229, DOI 10.1016/S0269-7491(00)00111-1 Parker R., 2012, REV LIFE CYCLE ASSES Parker RWR, 2015, J CLEAN PROD, V87, P78, DOI 10.1016/j.jclepro.2014.09.081 Pascoe S, 2012, J AGR ECON, V63, P425, DOI 10.1111/j.1477-9552.2011.00333.x Pelletier N, 2007, AQUACULTURE, V272, P399, DOI 10.1016/j.aquaculture.2007.06.024 Pelletier N, 2010, J IND ECOL, V14, P467, DOI 10.1111/j.1530-9290.2010.00244.x Pelletier N, 2009, ENVIRON SCI TECHNOL, V43, P8730, DOI 10.1021/es9010114 Pelletier NL, 2007, INT J LIFE CYCLE ASS, V12, P414, DOI 10.1065/lca2006.09.275 Pitcher T. J., 2008, SAFE CONDUCT 12 YEAR Pitcher T, 2009, NATURE, V457, P658, DOI 10.1038/457658a Ruello A, 2011, 2010222 FISH RES DEV Schau EM, 2009, J CLEAN PROD, V17, P325, DOI 10.1016/j.jclepro.2008.08.015 Schnell SM, 2013, AGR HUM VALUES, V30, P615, DOI 10.1007/s10460-013-9436-8 Silva SSD, 2009, AMBIO, V8, P24 Thomas K., 2014, ENVIRON RES LETT, V9 Thrane M, 2006, INT J LIFE CYCLE ASS, V11, P66, DOI 10.1065/lca2006.01.232 Tilman D, 2014, NATURE, V515, P518, DOI 10.1038/nature13959 Tlusty MF, 2015, REV AQUACULT, V7, P107, DOI 10.1111/raq.12056 Tlusty MF, 2009, J CLEAN PROD, V17, P408, DOI 10.1016/j.jclepro.2008.08.001 Nhu TT, 2015, J CLEAN PROD, V100, P170, DOI 10.1016/j.jclepro.2015.03.030 Tyeamers P., 2001, FISHERIES IMPACTS N Tyedmers P., 2012, 201203 ISSF Tyedmers PH, 2005, AMBIO, V34, P635, DOI 10.1639/0044-7447(2005)034[0635:FGFF]2.0.CO;2 Universiteit Leiden, 2015, CML IA CHAR FACT CML Vanzetti D., 2008, 118 ADBI Vazquez-Rowe I, 2014, SCI TOTAL ENVIRON, V475, P48, DOI 10.1016/j.scitotenv.2013.12.099 Vazquez-Rowe I, 2013, J CLEAN PROD, V44, P200, DOI 10.1016/j.jclepro.2012.11.049 Vazquez-Rowe I, 2013, MAR POLICY, V38, P387, DOI 10.1016/j.marpol.2012.06.018 Watson K., 2015, NAT COMMUN IN PRESS, V6, DOI [http://dx.doi.org/10.1038/ncomms8365, DOI 10.1038/NC0MMS8365] Weber CL, 2008, ENVIRON SCI TECHNOL, V42, P3508, DOI 10.1021/es702969f Wible B, 2014, SCIENCE, V344, P1100, DOI 10.1126/science.344.6188.1100 Winther U., 2009, CARBON FOOTPRINT ENE Woodhams J, 2013, FISHERY STATUS REPOR Zhou SJ, 2010, P NATL ACAD SCI USA, V107, P9485, DOI 10.1073/pnas.0912771107 Ziegler F, 2008, INT J LIFE CYCLE ASS, V13, P487, DOI 10.1007/s11367-008-0024-x Ziegler F, 2014, MAR POLICY, V44, P72, DOI 10.1016/j.marpol.2013.06.015 Ziegler F, 2011, J IND ECOL, V15, P527, DOI 10.1111/j.1530-9290.2011.00344.x NR 95 TC 8 Z9 9 U1 8 U2 91 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1462-9011 EI 1873-6416 J9 ENVIRON SCI POLICY JI Environ. Sci. Policy PD DEC PY 2015 VL 54 BP 35 EP 43 DI 10.1016/j.envsci.2015.06.007 PG 9 WC Environmental Sciences SC Environmental Sciences & Ecology GA CT2AC UT WOS:000362603400005 DA 2019-04-09 ER PT J AU Palacios-Agundez, I Onaindia, M Potschin, M Tratalos, JA Madariaga, I Haines-Young, R AF Palacios-Agundez, Igone Onaindia, Miren Potschin, Marion Tratalos, Jamie A. Madariaga, Iosu Haines-Young, Roy TI Relevance for decision making of spatially explicit, participatory scenarios for ecosystem services in an area of a high current demand SO ENVIRONMENTAL SCIENCE & POLICY LA English DT Article DE Scenario mapping; Ecosystem services; Biocapacity; Carbon storage; InVEST; Basque Country ID LAND-USE; LANDSCAPE; MANAGEMENT; COVER; CONSERVATION; RESTORATION; SUCCESSION; PROTECTION; KNOWLEDGE; FRAMEWORK AB Participatory ecosystem services scenarios can be used to inform decision making on the sustainable or wise use of biodiversity and ecosystem services (ES). To establish the plausibility and coherency of the recently constructed Biscay participatory scenarios, and to analyze policy options for improving sustainability of land use and the supply of ecosystem services, a spatially explicit analysis of land cover change was carried out. The modelling used an innovative methodology which included feedback from key stakeholders. Our study showed that scenario mapping can be a way of testing the credibility and internal consistency of scenarios, and a methodology for making them more coherent; it was also useful for highlighting land use trade-offs. The sustainability analysis for the ES supply side showed the benefits of promoting two land use/cover trends in the Biscay region: (i) an increase of sustainable arable land in the valley zones to reinforce biocapacity and self-provisioning while preserving agroecosystems' ES flow; and (ii) natural forest regeneration in mountainous and other zones to increase carbon storage and sequestration while enhancing biodiversity and other ES flows. We argue that even if already protected public agro-forest lands may be the best places to start promoting these changes, additional measures are needed to involve private landowners and guarantee changes at a landscape level. Finally, we reflect on the need to make complementary analyses of ES supply and demand as a way of contributing to a broad sustainability agenda. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Palacios-Agundez, Igone; Onaindia, Miren; Madariaga, Iosu] Univ Basque Country UPV EHU, Plant Biol & Ecol Dept, Leioa, Spain. [Palacios-Agundez, Igone; Potschin, Marion; Tratalos, Jamie A.; Haines-Young, Roy] Univ Nottingham, Sch Geog, CEM, Nottingham NG7 2RD, England. [Tratalos, Jamie A.] Univ Coll Dublin, UCD Sch Vet Med, UCD Ctr Vet Epidemiol & Risk Anal, Dublin, Ireland. [Madariaga, Iosu] Cty Council Biscay, Dept Environm, Leioa, Spain. RP Palacios-Agundez, I (reprint author), Univ Basque Country UPV EHU, Plant Biol & Ecol Dept, Leioa, Spain. EM igone.palacios@ehu.es RI Palacios-Agundez, Igone/L-5084-2014; Onaindia, Miren/L-7082-2014 OI Palacios-Agundez, Igone/0000-0001-9683-6977; Onaindia, Miren/0000-0003-1040-0131; Potschin, Marion/0000-0002-6392-736X FU Environment Department of the Regional Government of Biscay FX The authors gratefully acknowledge the Environment Department of the Regional Government of Biscay for funding the Millennium Ecosystem Assessment in Biscay-Basque Country research project, of which this article is part. Special thanks go to local stakeholders for their time and interest. The authors also thank the European Environmental Agency for providing data on non-woody biomass carbon stocks. CR Arciniegas G, 2012, LANDSCAPE URBAN PLAN, V107, P332, DOI 10.1016/j.landurbplan.2012.06.004 Bacic ILZ, 2006, LANDSCAPE URBAN PLAN, V77, P54, DOI 10.1016/j.landurbplan.2005.01.005 Barnaud C, 2013, ENVIRON MODELL SOFTW, V45, P150, DOI 10.1016/j.envsoft.2011.11.016 Basque Government, 2012, DIG EL MOD 5M RES Basque Government, 2006, POT VEG BASQ COUNTR Biggs R, 2004, NATURE SUPPORTING PE Biggs R, 2007, ECOL SOC, V12 Borucke M, 2013, ECOL INDIC, V24, P518, DOI 10.1016/j.ecolind.2012.08.005 Burch S, 2014, ENVIRON SCI POLICY, V37, P79, DOI 10.1016/j.envsci.2013.08.014 Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019 Di Gregorio A., 2000, LAND COVER CLASSIFIC EEA: European Environmental Agency, 2002, EUNIS HAB CLASS WEB ESRI, 2013, ARCGIS 10, V10 Carcamo PF, 2014, ENVIRON SCI POLICY, V40, P116, DOI 10.1016/j.envsci.2014.03.003 Sal AG, 2007, AGR ECOSYST ENVIRON, V120, P82, DOI 10.1016/j.agee.2006.06.020 Haines-Young R., 2011, UK NATL ECOSYSTEM AS, P1195 Haines-Young R., 2014, UK NATL ECOSYSTEM AS Haines-Young R, 2014, ENVIRON PLANN C, V32, P301, DOI 10.1068/c1329j Hendee JT, 2013, FOREST POLICY ECON, V34, P47, DOI 10.1016/j.forpol.2013.04.009 Henrichs T., 2010, ECOSYSTEMS HUMAN WEL, P151 Hruby T, 2009, ENVIRON MANAGE, V43, P1219, DOI 10.1007/s00267-009-9283-y IHOBE, 2010, GHG INV BASQ COUNTR Kareiva P, 2011, NATURAL CAPITAL: THEORY & PRACTICE OF MAPPING ECOSYSTEM SERVICES, P1, DOI 10.1093/acprof:oso/9780199588992.001.0001 Lambin EF, 2003, ANNU REV ENV RESOUR, V28, P205, DOI 10.1146/annurev.energy.28.050302.105459 Loidi J, 2012, J VEG SCI, V23, P596, DOI 10.1111/j.1654-1103.2012.01387.x Macdonald EA, 2011, ENVIRON SCI POLICY, V14, P697, DOI 10.1016/j.envsci.2011.03.001 Mancosu E, 2015, ENVIRON SCI POLICY, V46, P26, DOI 10.1016/j.envsci.2014.02.008 Merino A, 1998, FOREST ECOL MANAG, V103, P235, DOI 10.1016/S0378-1127(97)00229-6 *MILL EC ASS, 2005, EC HUM WELL BEING SC Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY Morandin LA, 2013, ECOL APPL, V23, P829, DOI 10.1890/12-1051.1 Naiman R. J., 2005, RIPARIA ECOLOGY CONS O'Neill B., 2008, ENV RES LETT, V3 Onaindia M, 2013, FOREST ECOL MANAG, V308, P136, DOI 10.1016/j.foreco.2013.07.046 Onaindia M, 2013, FOREST ECOL MANAG, V289, P1, DOI 10.1016/j.foreco.2012.10.010 Otero J, 2009, REV BIOL TROP, V57, P1183 Palacios-Agundez I, 2015, LAND USE POLICY, V47, P145, DOI 10.1016/j.landusepol.2015.03.012 Palacios-Agundez I, 2014, LANDSCAPE ECOL, V29, P1423, DOI 10.1007/s10980-014-9994-1 Palacios-Agundez I, 2013, ECOL SOC, V18, DOI 10.5751/ES-05619-180307 Pereira H. M., 2009, ECOSSISTEMAS BEM EST, P709 Pettit CJ, 2011, LANDSCAPE URBAN PLAN, V100, P231, DOI 10.1016/j.landurbplan.2011.01.001 Prach K, 2014, APPL VEG SCI, V17, P193, DOI 10.1111/avsc.12064 Prevosto B, 2011, FOLIA GEOBOT, V46, P303, DOI 10.1007/s12224-010-9096-z Rittenhouse CD, 2012, ENVIRON SCI POLICY, V21, P94, DOI 10.1016/j.envsci.2012.04.006 Rodriguez-Loinaz G, 2011, NAT AREA J, V31, P358, DOI 10.3375/043.031.0406 Sandhu HS, 2010, ENVIRON SCI POLICY, V13, P1, DOI 10.1016/j.envsci.2009.11.002 Smith P, 2013, GLOBAL CHANGE BIOL, V19, P2285, DOI 10.1111/gcb.12160 Tallis H., 2013, INVEST 2 5 6 USERS G Thenkabail PS, 2005, REMOTE SENS ENVIRON, V95, P317, DOI 10.1016/j.rse.2004.12.018 UNESCO, 1996, BIOSPH RES SEV STRAT Vervoort J, 2014, GLOBAL ENVIRON CHANG, DOI [http://dx.doi.org/10.1016/j.gloenvcha.2014.03.001, DOI 10.1016/J.GL0ENVCHA.2014.03.001] Wackernagel M, 2004, LAND USE POLICY, V21, P271, DOI 10.1016/j.landusepol.2003.10.006 Wackernagel M., 2005, NATL FOOTPRINT BIOCA Wollenberg E, 2000, LANDSCAPE URBAN PLAN, V47, P65, DOI 10.1016/S0169-2046(99)00071-7 NR 54 TC 7 Z9 8 U1 1 U2 60 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1462-9011 EI 1873-6416 J9 ENVIRON SCI POLICY JI Environ. Sci. Policy PD DEC PY 2015 VL 54 BP 199 EP 209 DI 10.1016/j.envsci.2015.07.002 PG 11 WC Environmental Sciences SC Environmental Sciences & Ecology GA CT2AC UT WOS:000362603400021 DA 2019-04-09 ER PT J AU Egels-Zanden, N Lindholm, H AF Egels-Zanden, Niklas Lindholm, Henrik TI Do codes of conduct improve worker rights in supply chains? A study of Fair Wear Foundation SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Code of conduct; Garment; Private regulation; Supply chain; Value chain; Worker rights ID CORPORATE SOCIAL-RESPONSIBILITY; LABOR STANDARD COMPLIANCE; CHINESE TOY SUPPLIERS; PRIVATE REGULATION; GLOBALIZATION; MANAGEMENT; FOOTWEAR; CAMBODIA; VIRTUE; TRADE AB The rise of private regulation of sustainability in global production networks has led to intensive debates about the impact of this regulation at the point of production. Yet, few empirical studies have systematically examined this impact in practice. Based on multiple factory audits of 43 garment factories conducted by the multi-stakeholder initiative Fair Wear Foundation, we show that codes of conduct improve (although marginally) worker rights on an overall level but that few significant results are found for specific worker rights. Our findings also lend support to the widespread argument that codes have uneven impact. Furthermore, we show that even rigorous multi-stakeholder factory audits seldom are able to identify process rights violations (such as those affecting freedom of association and discrimination), and that auditing is thus is more fundamentally flawed than assumed in previous research. Given companies' extensive investments in private regulation of worker rights, the findings have important implications for both scholars and managers. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Egels-Zanden, Niklas] Univ Gothenburg, Dept Business Adm, Sch Business Econ & Law, SE-40530 Gothenburg, Sweden. [Lindholm, Henrik] Royal Inst Technol, Dept Philosophy & Hist Technol, SE-10044 Stockholm, Sweden. RP Egels-Zanden, N (reprint author), Univ Gothenburg, Dept Business Adm, Sch Business Econ & Law, Box 600, SE-40530 Gothenburg, Sweden. EM niklas.egels-zanden@handels.gu.se; niklas.zanden@handels.gu.se OI Lindholm, Henrik/0000-0002-9109-7172 CR Ang D, 2012, REV DEV ECON, V16, P594, DOI 10.1111/rode.12006 Anner M, 2012, POLIT SOC, V40, P609, DOI 10.1177/0032329212460983 Armbruster-Sandoval R, 2005, GLOBALIZATION CROSS Auret D., 2004, 237 IDS Barrientos S, 2011, INT LABOUR REV, V150, P299 Barrientos S, 2007, THIRD WORLD Q, V28, P713, DOI 10.1080/01436590701336580 Barrientos S, 2011, INT LABOUR REV, V150, P319, DOI 10.1111/j.1564-913X.2011.00119.x Bartley T., 2014, CORPORATE SOCIAL RES Bartley T, 2007, AM J SOCIOL, V113, P297, DOI 10.1086/518871 Blowfield ME, 2008, DEV CHANGE, V39, P1, DOI 10.1111/j.1467-7660.2008.00465.x BORING EG, 1954, AM J PSYCHOL, V67, P573, DOI 10.2307/1418483 Brown G., 2013, IND SAF HYG NEWS FEB Chakrabarty S, 2009, WORLD DEV, V37, P1683, DOI 10.1016/j.worlddev.2009.03.013 Chan A, 2010, CRIT ASIAN STUD, V42, P167, DOI 10.1080/14672715.2010.486599 Egels-Zanden N, 2007, J BUS ETHICS, V75, P45, DOI 10.1007/s10551-006-9237-8 Egels-Zanden N, 2014, J BUS ETHICS, V123, P461, DOI 10.1007/s10551-013-1840-x Egels-Zanden N, 2014, J BUS ETHICS, V119, P59, DOI 10.1007/s10551-013-1622-5 Flyvbjerg Bent, 2001, MAKING SOCIAL SCI MA Frenkel SJ, 2001, ORGAN STUD, V22, P531, DOI 10.1177/0170840601224001 Frundt Henry J., 2004, WORKING US, V7, P36 FWF, 2010, FAIR WEAR FORM FWF, 2011, FAIR WEAR FDN ANN RE FWF, 2005, FAIR WEAR FDN AUD MA Jiang B, 2009, J BUS ETHICS, V85, P77, DOI 10.1007/s10551-008-9750-z Locke R, 2007, INT LABOUR REV, V146, P21, DOI 10.1111/j.1564-913X.2007.tb00511.x Locke R, 2009, POLIT SOC, V37, P319, DOI 10.1177/0032329209338922 Locke RM, 2007, IND LABOR RELAT REV, V61, P3, DOI 10.1177/001979390706100101 Locke RM, 2013, BRIT J IND RELAT, V51, P519, DOI 10.1111/bjir.12003 Lund-Thomsen P, 2014, J BUS ETHICS, V123, P11, DOI 10.1007/s10551-013-1796-x Mamic I, 2005, J BUS ETHICS, V59, P81, DOI 10.1007/s10551-005-3415-y Mamic I., 2004, IMPLEMENTING CODES C MEYER JW, 1977, AM J SOCIOL, V83, P340, DOI 10.1086/226550 O'Rourke D, 2006, WORLD DEV, V34, P899, DOI 10.1016/j.worlddev.2005.04.020 O'Rourke D., 1997, SMOKE HIRED GUN CRIT Oka C, 2010, ADV IND LABOR RELAT, V17, P153, DOI 10.1108/S0742-6186(2010)0000017008 Oka C, 2010, EUR J DEV RES, V22, P59, DOI 10.1057/ejdr.2009.38 Pearson R., 2001, GLOBAL SOCIAL POLICY, V1, P49, DOI DOI 10.1177/146801810100100104 Ross Robert J. S., 2006, LABOR STUDIES JOURNA, V4, P65 Rowley T., 2000, BUSINESS SOC, V39, P397, DOI [10.1177/000765030003900404, DOI 10.1177/000765030003900404] RUGGIE J, 2004, IMPACT CORPORATIONS, P10 Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 Seuring S, 2008, J CLEAN PROD, V16, P1545, DOI 10.1016/j.jclepro.2008.02.002 Seuring S, 2013, J CLEAN PROD, V56, P1, DOI 10.1016/j.jclepro.2012.11.033 Starmanns M., 2011, THESIS U COLOGNE Stouffer SA, 1949, THE AM SOLDIER Taylor M, 2011, NEW POLIT ECON, V16, P445, DOI 10.1080/13563467.2011.519023 Toffel M., 2012, 13045 HARV BUS SCH Weick K. E., 1995, SENSEMAKING ORG Wells D, 2007, GLOB SOC POLICY, V7, P51, DOI 10.1177/1468018107073911 Zadek S, 2004, HARVARD BUS REV, V82, P125 NR 50 TC 20 Z9 20 U1 2 U2 36 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 16 PY 2015 VL 107 BP 31 EP 40 DI 10.1016/j.jclepro.2014.08.096 PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA CT8MP UT WOS:000363071000004 DA 2019-04-09 ER PT J AU Egels-Zanden, N Hulthen, K Wulff, G AF Egels-Zanden, Niklas Hulthen, Kajsa Wulff, Gabriella TI Trade-offs in supply chain transparency: the case of Nudie Jeans Co SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Supply chain; Supply networks; Supplier relationships; Sustainability; Trade-offs; Transparency ID PRODUCT CHAINS; LABOR; SUSTAINABILITY; ORGANIZATIONS; DISCLOSURE; INDUSTRY; RESPONSIBILITY; OPPORTUNITIES; MANAGEMENT; CONDUCT AB Though transparency is increasingly central to corporate sustainability and sustainable supply chains, the scholarly conversation about supply chain transparency is limited, as it defines supply chain transparency inconsistently and lacks an empirical basis. We address these shortcomings by developing a multidimensional definition of supply chain transparency and studying the Swedish garment retailer Nudie Jeans' attempt to become "the most transparent company in the world." We extend the scholarly conversation by analyzing how a company, in practice, attempts to work with supply chain transparency and how to explain the transparency outcomes of such attempts. We argue that three underlying tradeoffs, i.e., threat vs. collaboration, standardization vs. differentiation, and means vs. ends, shape a firm's transparency outcomes. We question whether more supply chain transparency is always desirable, and argue that managers must choose between a compliance or cooperation approach to supply chain transparency. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Egels-Zanden, Niklas; Wulff, Gabriella] Univ Gothenburg, Sch Business Econ & Law, Dept Business Adm, SE-40530 Gothenburg, Sweden. [Hulthen, Kajsa] Chalmers, Dept Technol Management & Econ, Div Ind Mkt, SE-41296 Gothenburg, Sweden. RP Egels-Zanden, N (reprint author), Univ Gothenburg, Sch Business Econ & Law, Dept Business Adm, Box 600, SE-40530 Gothenburg, Sweden. EM Niklas.Egels-Zanden@handels.gu.se; kajsa.hulthen@chalmers.se; Gabriella.Wulff@handels.gu.se RI Hulthen, Kajsa/D-6275-2016 OI Hulthen, Kajsa/0000-0002-8455-0389 CR Ang D, 2012, REV DEV ECON, V16, P594, DOI 10.1111/rode.12006 Augustine D, 2012, BUS SOC, V51, P659, DOI 10.1177/0007650312448623 Barrientos S, 2013, GEOFORUM, V44, P44, DOI 10.1016/j.geoforum.2012.06.012 Bartley T, 2007, AM J SOCIOL, V113, P297, DOI 10.1086/518871 Bhaduri G, 2011, CLOTH TEXT RES J, V29, P135, DOI 10.1177/0887302X11407910 Bostrom M, 2012, J ENVIRON PLANN MAN, V55, P95, DOI 10.1080/09640568.2011.581885 Carter CR, 2008, INT J PHYS DISTR LOG, V38, P360, DOI 10.1108/09600030810882816 Chan A, 2003, THIRD WORLD Q, V24, P1011, DOI 10.1080/01436590310001630044 Chapman J., 1995, BUS ETHICS A, V4, P139 Cramer JM, 2008, J CLEAN PROD, V16, P395, DOI 10.1016/j.jclepro.2007.01.007 Dingwerth K, 2010, GLOBAL ENVIRON POLIT, V10, P74, DOI 10.1162/GLEP_a_00015 Doorey DJ, 2011, J BUS ETHICS, V103, P587, DOI 10.1007/s10551-011-0882-1 Dubbink W, 2008, J BUS ETHICS, V82, P391, DOI 10.1007/s10551-008-9893-y Dubbink W, 2007, BUS SOC REV, V112, P287, DOI 10.1111/j.1467-8594.2007.00298.x Egels-Zanden N., 2014, BUS SOC IN PRESS Egels-Zanden N., 2010, MANAGING RESPONSIBIL Egels-Zanden N, 2007, J BUS ETHICS, V75, P45, DOI 10.1007/s10551-006-9237-8 Eisenhardt KM, 2007, ACAD MANAGE J, V50, P25, DOI 10.5465/AMJ.2007.24160888 Frazier GL, 1999, J ACAD MARKET SCI, V27, P226, DOI 10.1177/0092070399272007 Fung A, 2013, POLIT SOC, V41, P183, DOI 10.1177/0032329213483107 Gadde L., 2010, SUPPLY NETWORK STRAT Gadde L.-E., 2004, J MARKETING MANAGEME, V20, p[1, 157] Gallo PJ, 2011, BUS SOC, V50, P315, DOI 10.1177/0007650311398784 Garsten C., 2008, TRANSPARENCY NEW GLO Gray R, 2010, ACCOUNT ORG SOC, V35, P47, DOI 10.1016/j.aos.2009.04.006 Hahn R, 2013, J CLEAN PROD, V59, P5, DOI 10.1016/j.jclepro.2013.07.005 Kell G, 2013, BUS SOC, V52, P31, DOI 10.1177/0007650312460466 Khan FR, 2007, ORGAN STUD, V28, P1055, DOI 10.1177/0170840607078114 Laudal T, 2010, J BUS ETHICS, V96, P63, DOI 10.1007/s10551-010-0449-6 Leppelt T, 2013, J CLEAN PROD, V56, P94, DOI 10.1016/j.jclepro.2011.10.011 Locke R, 2009, POLIT SOC, V37, P319, DOI 10.1177/0032329209338922 Lund-Thomsen P, 2008, DEV CHANGE, V39, P1005, DOI 10.1111/j.1467-7660.2008.00526.x Madsen P, 2009, J BUS ETHICS, V90, P639, DOI 10.1007/s10551-010-0597-8 MEYER JW, 1977, AM J SOCIOL, V83, P340, DOI 10.1086/226550 Mol APJ, 2015, J CLEAN PROD, V107, P154, DOI 10.1016/j.jclepro.2013.11.012 O'Rourke D, 2003, POLICY STUD J, V31, P1, DOI 10.1111/1541-0072.00001 Martinez EO, 2008, BUS ETHICS, V17, P13, DOI 10.1111/j.1467-8608.2008.00516.x Rebernak K., 2007, ENV QUALITY MANAGEME, V16, P1, DOI DOI 10.1002/TQEM.20137 Rokkan A. I., 2002, EUR J MARKETING, V36, P211, DOI DOI 10.1108/03090560210412764 Rossman G. B., 1995, DESIGNING QUALITATIV Schau EM, 2008, INT J LIFE CYCLE ASS, V13, P255, DOI [10.1065/lca2007.12.372, 10.1065/Ica2007.12.372] Schouten ME, 2006, BUSINESS ETHICS EURO, V15, P365 Selviaridis K., 2007, International Journal of Logistics Management, V18, P125, DOI 10.1108/09574090710748207 Seuring S, 2013, J CLEAN PROD, V56, P1, DOI 10.1016/j.jclepro.2012.11.033 Stern L., 1969, DISTRIBUTION CHANNEL Tapscott D, 2003, NAKED CORPORATION AG Tomkins J., 2006, SUPPLY CHAIN MANAG R, V10, P52 Toppinen A, 2013, BUS ETHICS, V22, P202, DOI 10.1111/beer.12016 Weitz B., 1995, J ACAD MARKET SCI, V23, P305, DOI DOI 10.1177/009207039502300411 Yin R. K., 2003, CASE STUDY RES DESIG NR 50 TC 18 Z9 18 U1 2 U2 46 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 16 PY 2015 VL 107 BP 95 EP 104 DI 10.1016/j.jclepro.2014.04.074 PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA CT8MP UT WOS:000363071000010 DA 2019-04-09 ER PT J AU Faghihi, V Hessami, AR Ford, DN AF Faghihi, Vahid Hessami, Amir R. Ford, David N. TI Sustainable campus improvement program design using energy efficiency and conservation SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Sustainable campus; Energy efficiency; Energy conservation; Built infrastructure; System dynamics; Paid from savings ID SYSTEM DYNAMICS APPROACH; IMPACT ASSESSMENT; MODEL; MANAGEMENT; INDUSTRY; UNIVERSITY AB Reducing energy consumption is critical to improving campus sustainability. Both increased efficiency of built infrastructure and conservation by users can contribute. This work investigates feedback in the design of energy improvement programs that exploit both efficiency and conservation by developing a system dynamics model. The model formalizes the paid-from-savings approach and is validated using a sustainability program at a major university. Model simulations use five program designs, two forms of performance (energy savings and monetary savings), and capital requirements to test four hypotheses. This research indicated the existence of a trade-off space of program designs in which the preferred design will depend upon specific objectives. Other conclusions partially support improved performance with more investment and recommend the use of conservation to fund efficiency under capital constraints. A feedback analysis provides a richer explanation of the drivers of program success. The scientific contributions include an improved understanding of campus sustainability improvement program design, a formal dynamic model for program design, and an innovative staged design as an advanced solution to the dynamic challenges of designing campus sustainability improvement programs. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Faghihi, Vahid] Amirkabir Univ Technol, Dept Civil & Environm Engn, Tehran, Iran. [Hessami, Amir R.; Ford, David N.] Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA. RP Ford, DN (reprint author), Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA. EM svFaghihi@gmail.com; hessami_amir@tamu.edu; DavidFord@tamu.edu RI Faghihi, Vahid/D-1214-2013 OI Faghihi, Vahid/0000-0002-6264-1378 CR Abrahamse W, 2005, J ENVIRON PSYCHOL, V25, P273, DOI 10.1016/j.jenvp.2005.08.002 Alshuwaikhat HM, 2008, J CLEAN PROD, V16, P1777, DOI 10.1016/j.jclepro.2007.12.002 Blumberga A, 2014, J CLEAN PROD, V63, P134, DOI 10.1016/j.jclepro.2013.05.020 Brunelle R., 2007, CANADIAN J ENV ED, V12, P33 Bunse K, 2011, J CLEAN PROD, V19, P667, DOI 10.1016/j.jclepro.2010.11.011 Carrico AR, 2011, J ENVIRON PSYCHOL, V31, P1, DOI 10.1016/j.jenvp.2010.11.004 Chen HM, 2012, ENERG BUILDINGS, V45, P106, DOI 10.1016/j.enbuild.2011.10.029 Choong CG, 2014, J CLEAN PROD, V85, P258, DOI 10.1016/j.jclepro.2013.12.009 COSTANZO M, 1986, AM PSYCHOL, V41, P521, DOI 10.1037/0003-066X.41.5.521 Darby Sarah, 2006, REV DEFRA LIT METERI, V486, P2006 Disterheft A., 2014, J CLEAN PROD, P1 Dobes V, 2013, J CLEAN PROD, V39, P255, DOI 10.1016/j.jclepro.2012.08.007 Energy Star, 2013, ENERGY STAR Fiorello D, 2010, SYST DYNAM REV, V26, P283, DOI 10.1002/sdr.452 Flood R.L., 1991, CREATIVE PROBLEM SOL Flynn E., 2011, GREEN REVOLVING FUND Forrester JW, 1961, IND DYNAMICS Geng Y, 2013, J CLEAN PROD, V61, P13, DOI 10.1016/j.jclepro.2012.07.013 Georgiadis P, 2008, J CLEAN PROD, V16, P1665, DOI 10.1016/j.jclepro.2008.04.019 Handgraaf MJJ, 2013, ECOL ECON, V86, P86, DOI 10.1016/j.ecolecon.2012.11.008 HOWARTH RB, 1993, ENERG ECON, V15, P262, DOI 10.1016/0140-9883(93)90016-K Indvik J., 2013, GREEN REVLVING FUNDS International Association of Universities (IAU), 1993, KYOT DECL SUST DEV Jackson M, 2003, SYSTEMS THINKING CRE Kim A, 2012, 30 INT C SYST DYN SO Koester RJ, 2006, J CLEAN PROD, V14, P769, DOI 10.1016/j.jclepro.2005.11.055 LANE DC, 1995, SYST RES, V12, P217, DOI 10.1002/sres.3850120306 Lawrence Berkeley National Laboratory, 2013, 7 11 WHY IS EN EFF M Lee S, 2012, J CLEAN PROD, V32, P173, DOI 10.1016/j.jclepro.2012.03.032 Lozano R, 2015, J CLEAN PROD, V106, P205, DOI 10.1016/j.jclepro.2014.03.031 Machado RR, 2015, J CLEAN PROD, V96, P520, DOI 10.1016/j.jclepro.2013.09.049 McLean-Conner P, 2009, ENERGY EFFICIENCY PR Mero T., 2012, SUSTAIN J REC, V5, P17 NAILL RF, 1992, SYST DYNAM REV, V8, P1, DOI 10.1002/sdr.4260080102 O'Regan B, 2006, J CLEAN PROD, V14, P689, DOI 10.1016/j.jclepro.2004.05.006 Peltier N.-P., 1998, J CLEAN PROD, V6, P111 Philibert C., 2002, KYOTO ENERGY DYNAMIC Pimentel D., 2004, Environment Development and Sustainability, V6, P279, DOI 10.1023/B:ENVI.0000029887.33339.65 Saadatian O, 2013, RENEW SUST ENERG REV, V23, P155, DOI 10.1016/j.rser.2013.02.022 Sharp L., 2002, INT J SUST HIGHER ED, V3, P128, DOI DOI 10.1108/14676370210422357 Sorrell S., 2000, REDUCING BARRIERS EN State Energy Conservation Office, 2010, BUILD EFF RETR PROGR Sterman JD, 2000, BUSINESS DYNAMICS SY The Texas A&M University System, 2010, PERF CONTR AGR TEX U Thollander P., 2010, CATEGORIZING BARRIER Thomashow M., 2014, 9 ELEMENTS SUSTAINAB Van Der Like R., 2009, PAID SAVINGS GUIDE G Velazquez L, 2006, J CLEAN PROD, V14, P810, DOI 10.1016/j.jclepro.2005.12.008 Waheed B, 2011, J CLEAN PROD, V19, P720, DOI 10.1016/j.jclepro.2010.12.013 Walther G, 2010, SYST DYNAM REV, V26, P239, DOI 10.1002/sdr.453 Weisbord D., 2011, GREENING BOTTOM LINE Wirl F., 1991, SYST DYNAM REV, P145 Wright TSA, 2012, J CLEAN PROD, V31, P118, DOI 10.1016/j.jclepro.2012.02.030 Zhao Y, 2014, J CLEAN PROD, V68, P272, DOI 10.1016/j.jclepro.2013.12.049 NR 54 TC 14 Z9 14 U1 5 U2 42 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 16 PY 2015 VL 107 BP 400 EP 409 DI 10.1016/j.jclepro.2014.12.040 PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA CT8MP UT WOS:000363071000039 DA 2019-04-09 ER PT J AU Chappin, MMH Cambre, B Vermeulen, PAM Lozano, R AF Chappin, Maryse M. H. Cambre, Bart Vermeulen, Patrick A. M. Lozano, Rodrigo TI Internalizing sustainable practices: a configurational approach on sustainable forest management of the Dutch wood trade and timber industry SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Sustainable forestry practices; Practice internalization; Institutional pressures; Fuzzy-set Qualitative Comparative Analysis (QCA); Configurational approach ID SUPPLY CHAIN MANAGEMENT; INSTITUTIONAL COMPLEXITY; NORTH-AMERICAN; INNOVATION; ADOPTION; POLICY; ORGANIZATIONS; CERTIFICATION; GOVERNANCE; PRESSURES AB A number of environmental labels and certificates have been developed to inform consumers of the environmental impacts. This paper explored different configurations of institutional and organizational conditions for the internalization of sustainable practices. For the institutional conditions the level of institutional pressures were considered. For the organizational conditions the following elements were taken into account: 1) the timing of adoption; 2) the willingness to cannibalize existing capabilities and routines to incorporate institutional demands for sustainability; 3) the degree of implementation of these demands; 4) the internal representation of environmental concerns; and 5) the type of organization. The paper analyzed sustainable forestry practices in wood trade and timber factories in the Netherlands using a fuzzy set Qualitative Comparative Analysis. From the analysis, three configurations were found: 1) concerned internalization, for early adopting wood trade companies; 2) forced internalization, for late adopting wood trade companies; and 3) lagged internalization, for late adopting timber factories. The configurations revealed that important conditions for explaining internalization of sustainable practices are high levels of implementation and high levels of willingness to cannibalize. The findings reaffirm the relevance of institutional and organizational conditions in explaining the internalization of environmental friendly practices. They also showed that the interplay between a firm's internal and external environments influence the internalization of environmental practices. The results imply that practice internalization is more subtle than previously understood in the literature. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Chappin, Maryse M. H.; Lozano, Rodrigo] Univ Utrecht, Innovat Studies, Copernicus Inst Sustainable Dev, NL-3508 TC Utrecht, Netherlands. [Cambre, Bart] Univ Antwerp, Antwerp Management Sch, Autonomous Management Sch, tBrantijser, B-2000 Antwerp, Belgium. [Vermeulen, Patrick A. M.] Radboud Univ Nijmegen, Inst Management Res, NL-6500 HK Nijmegen, Netherlands. RP Chappin, MMH (reprint author), Univ Utrecht, Innovat Studies, Copernicus Inst Sustainable Dev, POB 80115, NL-3508 TC Utrecht, Netherlands. EM m.m.h.chappin@uu.nl; bartcambre@ams.ac.be; p.vermeulen@fm.ru.nl; r.lozano@uu.nl RI Chappin, Maryse/N-4387-2013; Lozano, Rodrigo/L-7962-2013 OI Chappin, Maryse/0000-0001-6247-1930; Vermeulen, Patrick/0000-0001-7506-8753; Lozano, Rodrigo/0000-0003-1441-7555 FU Department Organization Studies, Tilburg University FX We would like to thank Peer Fiss, Donal Crilly, Helena Yli-Renko, Donald Huisingh, the participants of the EGOS conference 2012 subtheme 23 in Helsinki, and the participants of the Conference "QCA - Perspectives for Political Sciences, Sociology and Organizational Research" in Hamburg for their valuable comments and suggestions on previous versions of this paper. We would also like to thank the Department Organization Studies, Tilburg University for the funding of this project and Karen Geelhoed for her effort in the process of data collection. CR Alexander VD, 1996, AM J SOCIOL, V101, P797, DOI 10.1086/230781 Ansari SM, 2010, ACAD MANAGE REV, V35, P67, DOI 10.5465/AMR.2010.45577876 Bell R. G., 2013, RES SOCIOL ORGAN-RES, V38 Bell RG, 2014, ACAD MANAGE J, V57, P301, DOI 10.5465/amj.2011.0146 Binder A, 2007, THEOR SOC, V36, P547, DOI 10.1007/s11186-007-9045-x Boiral O, 2011, BUS STRATEG ENVIRON, V20, P331, DOI 10.1002/bse.701 Brady Henry E., 2010, RETHINKING SOCIAL IN Cashore B, 2003, FOREST POLICY ECON, V5, P225, DOI 10.1016/S1389-9341(02)00060-6 Cassells S, 2011, CORP SOC RESP ENV MA, V18, P186, DOI 10.1002/csr.269 Castka P, 2013, J CLEAN PROD, V47, P245, DOI 10.1016/j.jclepro.2012.12.034 Chandrashekaran M, 1999, J MARKETING RES, V36, P95, DOI 10.2307/3151917 Chandy RK, 1998, J MARKETING RES, V35, P474, DOI 10.2307/3152166 Chen YS, 2008, J BUS ETHICS, V81, P531, DOI 10.1007/s10551-007-9522-1 Comoglio C, 2012, J CLEAN PROD, V20, P92, DOI 10.1016/j.jclepro.2011.08.022 Crilly D, 2012, ACAD MANAGE J, V55, P1429, DOI 10.5465/amj.2010.0697 D'Aunno T, 2000, ADMIN SCI QUART, V45, P679, DOI 10.2307/2667016 Dacin MT, 1997, ACAD MANAGE J, V40, P46, DOI 10.2307/257020 Damanpour F, 2006, BRIT J MANAGE, V17, P215, DOI 10.1111/j.1467-8551.2006.00498.x Danneels E, 2008, STRATEGIC MANAGE J, V29, P519, DOI 10.1002/smj.684 Davis GF, 1997, AM J SOCIOL, V103, P1, DOI 10.1086/231170 De Marchi V, 2013, BUS STRATEG ENVIRON, V22, P62, DOI 10.1002/bse.1738 Dendler L, 2014, J CLEAN PROD, V63, P74, DOI 10.1016/j.jclepro.2013.04.037 Detert JR, 2000, ACAD MANAGE REV, V25, P850, DOI 10.2307/259210 DiMaggio P., 1991, NEW I ORG ANAL, P267 DIMAGGIO PJ, 1983, AM SOCIOL REV, V48, P147, DOI 10.2307/2095101 Dunphy D., 2003, ORG CHANGE CORPORATE Durand R, 2012, ACAD MANAGE J, V55, P1295, DOI 10.5465/amj.2011-0345 Farhoomand A., 1992, INT J INNOV MANAG, V3, P133 Fiss P. C., 2013, RES SOCIOL ORGAN-RES, V38 Fiss P. C., 2013, CONFIGURATIONAL THEO, P38 Fiss PC, 2013, RES SOCIOL ORGAN-RES, V38, P1, DOI 10.1108/S0733-558X(2013)38 Fiss PC, 2007, ACAD MANAGE REV, V32, P1180, DOI 10.5465/AMR.2007.26586092 Fiss PC, 2011, ACAD MANAGE J, V54, P393, DOI 10.5465/AMJ.2011.60263120 Fox-Wolfgramm SJ, 1998, ADMIN SCI QUART, V43, P87, DOI 10.2307/2393592 Fraj E, 2011, J STRATEG MARK, V19, P339, DOI 10.1080/0965254X.2011.581382 Friedland R., 1991, NEW I ORG ANAL Frumkin P, 2004, J PUBL ADM RES THEOR, V14, P283, DOI 10.1093/jopart/muh028 Furnari S., 2013, RES SOCIOL ORGAN-RES, V38 Gallastegui IG, 2002, EUROPEAN ENV, V12, P316, DOI DOI 10.1002/EET.304 Greenwood R, 2011, ACAD MANAG ANN, V5, P317, DOI 10.1080/19416520.2011.590299 Greenwood R, 2010, ORGAN SCI, V21, P521, DOI 10.1287/orsc.1090.0453 GREVE HR, 1995, ADMIN SCI QUART, V40, P444, DOI 10.2307/2393793 Hale M., 1996, J CLEAN PROD, V4, P85 HAVEMAN HA, 1993, ADMIN SCI QUART, V38, P593, DOI 10.2307/2393338 Herrmann A, 2007, J ENG TECHNOL MANAGE, V24, P92, DOI 10.1016/i.jengtecman.2007.01.006 Ijose O., 2012, J MANAGEMENT MARKETI, V11, P1 Kennedy MT, 2009, ACAD MANAGE J, V52, P897, DOI 10.5465/AMJ.2009.44633062 KIESLER S, 1982, ADMIN SCI QUART, V27, P548, DOI 10.2307/2392530 Klein KJ, 1996, ACAD MANAGE REV, V21, P1055, DOI 10.2307/259164 Kostova T, 2002, ACAD MANAGE J, V45, P215, DOI 10.2307/3069293 Kostova T, 1999, ACAD MANAGE REV, V24, P308, DOI 10.2307/259084 Kraatz M. S, 2008, SAGE HDB ORG I, P243, DOI DOI 10.4135/9781849200387 Lammers O., 2010, TWEE KEURMERKEN TEGE, P18 Li CY, 2009, INT J INFORM MANAGE, V29, P425, DOI 10.1016/j.ijinfomgt.2009.06.004 LIEBERMAN MB, 1988, STRATEGIC MANAGE J, V9, P41, DOI 10.1002/smj.4250090706 Lin CY, 2011, J BUS ETHICS, V98, P67, DOI 10.1007/s10551-010-0535-9 Lounsbury M, 2007, ACAD MANAGE J, V50, P289 Love EG, 2008, J MANAGE STUD, V45, P239, DOI 10.1111/j.1467-6486.2007.00739.x March James G., 1989, REDISCOVERING I ORG McPherson CM, 2013, ADMIN SCI QUART, V58, P165, DOI 10.1177/0001839213486447 MEYER AD, 1982, ADMIN SCI QUART, V27, P515, DOI 10.2307/2392528 MEYER AD, 1988, ACAD MANAGE J, V31, P897, DOI 10.2307/256344 Meyer JW, 1997, AM J SOCIOL, V103, P144, DOI 10.1086/231174 MEYER JW, 1977, AM J SOCIOL, V83, P340, DOI 10.1086/226550 Michael JH, 2010, BUS STRATEG ENVIRON, V19, P466, DOI 10.1002/bse.665 Misangyi V., 2014, ACAD MANAG J Mizruchi MS, 1999, ADMIN SCI QUART, V44, P653, DOI 10.2307/2667051 Nadai A., 1999, EUROPEAN ENV, V9, P202 Nawrocka D, 2009, J CLEAN PROD, V17, P601, DOI 10.1016/j.jclepro.2008.10.003 Nehrt C, 1996, STRATEGIC MANAGE J, V17, P535, DOI 10.1002/(SICI)1097-0266(199607)17:7<535::AID-SMJ825>3.3.CO;2-0 Nijssen EJ, 2005, TECHNOVATION, V25, P1400, DOI 10.1016/j.technovation.2005.03.004 Oberhofer P, 2013, BUS STRATEG ENVIRON, V22, P374, DOI 10.1002/bse.1750 OECD, 1997, EC ACT EFF SEL PROGR OLIVER C, 1991, ACAD MANAGE REV, V16, P145, DOI 10.2307/258610 Pederson E.R., 2006, BUSINESS STRATEGY EN, V15, P15, DOI DOI 10.1002/BSE.434 PEFC, 2011, PEFC FSC WAT ZIJN VE Prajogo D, 2012, J CLEAN PROD, V33, P117, DOI 10.1016/j.jclepro.2012.04.019 ProFound, 2004, EU MARK SURV 2004 TI Qi GY, 2012, CORP SOC RESP ENV MA, V19, P129, DOI 10.1002/csr.258 Raaijmakers AGM, 2015, ACAD MANAGE J, V58, P85, DOI 10.5465/amj.2011.0276 Ragin C., 2008, REDESIGNING SOCIAL I Ragin C., 1987, COMP METHOD MOVING Q Ragin C., 2000, FUZZY SET SOCIAL SCI Ragin C.C., 2008, USERS GUIDE FUZZY SE Ragin CC, 2006, POLIT ANAL, V14, P291, DOI 10.1093/pan/mpg019 Rex E, 2007, J CLEAN PROD, V15, P567, DOI 10.1016/j.jclerpo.2006.05.013 Rihoux B, 2003, FIELD METHOD, V15, P351, DOI DOI 10.1177/1525822X03257690 Rihoux B., 2009, CONFIGURATIONAL COMP Rogers E. M., 2005, DIFFUSION INNOVATION Royston Greenwood, 2008, HDB ORG I Sanders WG, 2007, ACAD MANAGE J, V50, P33 Schneider C. Q, 2013, SET THEORETIC METHOD Schneider CQ, 2010, COMP SOCIOL, V9, P397, DOI 10.1163/156913210X12493538729793 Scott R. W., 2001, I ORG Sharma S, 1998, STRATEGIC MANAGE J, V19, P729, DOI 10.1002/(SICI)1097-0266(199808)19:8<729::AID-SMJ967>3.0.CO;2-4 Sijtsma K, 2009, PSYCHOMETRIKA, V74, P107, DOI 10.1007/s11336-008-9101-0 Takahashi T., 2005, Corporate Social Responsibility and Environmental Management, V12, P210, DOI 10.1002/csr.086 Tellis GJ, 2009, J MARKETING, V73, P3, DOI 10.1509/jmkg.73.1.3 Thompson DW, 2012, BUS STRATEG ENVIRON, V21, P351, DOI 10.1002/bse.1726 Thornton P. H., 2008, HDB ORG I TOLBERT PS, 1983, ADMIN SCI QUART, V28, P22, DOI 10.2307/2392383 VENKATRAMAN N, 1989, MANAGE SCI, V35, P942, DOI 10.1287/mnsc.35.8.942 Vermeulen WJV, 2012, ECOL ECON, V83, P183, DOI 10.1016/j.ecolecon.2012.04.006 Walker K., 2013, BUS STRATEGY ENV Weber K, 2009, ACAD MANAGE J, V52, P1319, DOI 10.5465/AMJ.2009.47085184 WEICK KE, 1976, ADMIN SCI QUART, V21, P1, DOI 10.2307/2391875 Westphal JD, 2001, ADMIN SCI QUART, V46, P202, DOI 10.2307/2667086 Westphal JD, 1997, ADMIN SCI QUART, V42, P366, DOI 10.2307/2393924 Whittington J.L., 2013, RES SOCIOL ORGAN-RES, V38 Wiengarten F, 2013, J CLEAN PROD, V56, P18, DOI 10.1016/j.jclepro.2012.01.021 Zbaracki MJ, 1998, ADMIN SCI QUART, V43, P602, DOI 10.2307/2393677 Zelner BA, 2009, ADMIN SCI QUART, V54, P379, DOI 10.2189/asqu.2009.54.3.379 Zhu QH, 2007, J CLEAN PROD, V15, P1041, DOI 10.1016/j.jclepro.2006.05.021 NR 113 TC 4 Z9 5 U1 1 U2 43 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD NOV 16 PY 2015 VL 107 BP 760 EP 774 DI 10.1016/j.jclepro.2015.05.087 PG 15 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA CT8MP UT WOS:000363071000073 DA 2019-04-09 ER PT J AU Yang, JC Wang, ZH AF Yang, Jiachuan Wang, Zhi-Hua TI Optimizing urban irrigation schemes for the trade-off between energy and water consumption SO ENERGY AND BUILDINGS LA English DT Article DE Building energy efficiency; Energy-water trade-off; Environmental sustainability; Urban canopy model; Urban irrigation ID THERMAL COMFORT; EXCHANGE; CLIMATE; BUILDINGS; SYSTEMS; DESIGN; AREAS; ZONES; CYCLE AB Irrigation of green spaces in cities helps to reduce thermal stress and building energy consumption in hot seasons, but requires an intricate balance between energy and water resource usage. While the objective for agricultural irrigation is focused on the yield of produces, urban irrigation needs a new paradigm. In this study, a cutting-edge urban canopy model is applied to assess the impact of a variety of controlled irrigation schemes for Phoenix. Results show that by increasing surface moisture availability for evapotranspiration, urban irrigation has a cooling effect on the built environment throughout the year. Maximum reduction in canyon air temperature can be more than 3 degrees C in summer as compared to the condition without irrigation. Among all investigated schemes, the soil-temperature-controlled irrigation is the most efficient in reducing the annual building energy consumption and the total cost. The total annual saving depends on the controlling soil temperature for irrigation activation, and can be up to about $1.19 m(-2) wall area as compared to the current irrigation practice. In addition, the scheme can substantially enhance outdoor thermal comfort of pedestrians in summers. (C) 2015 Elsevier B.V. All rights reserved. C1 [Yang, Jiachuan; Wang, Zhi-Hua] Arizona State Univ, Sch Sustainable Engn & Built Environm, Tempe, AZ 85287 USA. RP Wang, ZH (reprint author), Arizona State Univ, Sch Sustainable Engn & Built Environm, POB 873005, Tempe, AZ 85287 USA. EM zhwang@asu.edu RI Wang, Zhi-Hua/A-3391-2008 OI Wang, Zhi-Hua/0000-0001-9155-8605; yang, jiachuan/0000-0002-3890-5628 FU National Science Foundation (NSF) [CBET-1435881]; NSF [EF-1049251] FX This work is supported by the National Science Foundation (NSF) under grant number CBET-1435881. Field measurement by the eddy-covariance tower at Maryvale, West Phoenix sponsored by NSF under grant EF-1049251 is acknowledged. CR Akbari H., 2009, GUIDEBOOK TREE PLANT, P245 [Anonymous], 2010, TREE SHAD MAST PLAN, P53 Bonfils C, 2007, P NATL ACAD SCI USA, V104, P13582, DOI 10.1073/pnas.0700144104 Brazel A, 2000, CLIMATE RES, V15, P123, DOI 10.3354/cr015123 Chow W.T., 2014, INT J CLIMATOL, DOI [10.1002/joc.3947, DOI 10.1002/JOC.3947(ONLINE)] Chow W.T.L., 2012, BUILD ENV, V47 European Commission, 2012, EN TRANSP ENV IND, P234 Feng Y, 2004, ENERG BUILDINGS, V36, P1309, DOI 10.1016/j.enbuild.2003.08.003 Givoni B., 1963, THESIS ISRAEL I TECH Gober P., 2010, J AM PLAN ASS, V76 Harriman LG, 1997, ASHRAE J, V39, P37 LADWP (City of Los Angeles Department of Water and Power), 2001, URB WAT MAN PLAN FIS Lobell DB, 2008, J CLIMATE, V21, P2063, DOI 10.1175/2007JCLI1755.1 Martin CA, 2002, J ARID ENVIRON, V51, P235, DOI 10.1006/yjare.2001.0946 Middel A, 2014, LANDSCAPE URBAN PLAN, V122, P16, DOI 10.1016/j.landurbplan.2013.11.004 Mishra AK, 2013, BUILD ENVIRON, V64, P94, DOI 10.1016/j.buildenv.2013.02.015 Mitchell V., HYDROL PROCESS, P22 Mitchell VG, 2001, ENVIRON MODELL SOFTW, V16, P615, DOI 10.1016/S1364-8152(01)00029-9 Pearlmutter D, 2007, BUILD ENVIRON, V42, P2396, DOI 10.1016/j.buildenv.2006.06.006 Perez-Lombard L, 2008, ENERG BUILDINGS, V40, P394, DOI 10.1016/j.enbuild.2007.03.007 Retzlaff R, 2008, J AM PLANN ASSOC, V74, P505, DOI 10.1080/01944360802380290 Sacks WJ, 2009, CLIM DYNAM, V33, P159, DOI 10.1007/s00382-008-0445-z Seto K., 2014, CLIMATE CHANGE 2014, P67 Shashua-Bar L, 2011, INT J CLIMATOL, V31, P1498, DOI 10.1002/joc.2177 Sivak M, 2008, CITIES, V25, P396, DOI 10.1016/j.cities.2008.09.001 Thormark C, 2002, BUILD ENVIRON, V37, P429, DOI 10.1016/S0360-1323(01)00033-6 Topak R, 2010, ENERGY, V35, P5464, DOI 10.1016/j.energy.2010.06.018 United States Census Bureau, 2014, PHOEN QUICK FACTS Vahmani P, 2014, J HYDROMETEOROL, V15, P1440, DOI 10.1175/JHM-D-13-0121.1 Vairavamoorthy K, 2008, PHYS CHEM EARTH, V33, P330, DOI 10.1016/j.pce.2008.02.008 Volo TJ, 2014, ECOHYDROLOGY, V7, P1297, DOI 10.1002/eco.1457 Wang ZH, 2014, SOL ENERGY, V110, P704, DOI 10.1016/j.solener.2014.10.012 Wang ZH, 2013, Q J ROY METEOR SOC, V139, P1643, DOI 10.1002/qj.2032 Wang ZH, 2011, BOUND-LAY METEOROL, V138, P171, DOI 10.1007/s10546-010-9552-6 Yang JC, 2015, RENEW SUST ENERG REV, V47, P830, DOI 10.1016/j.rser.2015.03.092 Yang JC, 2015, BOUND-LAY METEOROL, V155, P87, DOI 10.1007/s10546-014-9991-6 Yang JC, 2014, BUILD ENVIRON, V75, P250, DOI 10.1016/j.buildenv.2014.02.006 NR 37 TC 12 Z9 12 U1 0 U2 33 PU ELSEVIER SCIENCE SA PI LAUSANNE PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND SN 0378-7788 EI 1872-6178 J9 ENERG BUILDINGS JI Energy Build. PD NOV 15 PY 2015 VL 107 BP 335 EP 344 DI 10.1016/j.enbuild.2015.08.045 PG 10 WC Construction & Building Technology; Energy & Fuels; Engineering, Civil SC Construction & Building Technology; Energy & Fuels; Engineering GA CV4OQ UT WOS:000364246800033 OA Other Gold DA 2019-04-09 ER PT J AU Baudoin, A Bosc, PM Moulin, M Wohlfahrt, J Marichal, R Caliman, JP Bessou, C AF Baudoin, Alice Bosc, Pierre-Marie Moulin, Margot Wohlfahrt, Julie Marichal, Raphael Caliman, Jean-Pierre Bessou, Cecile TI Linking the transformation of production structures to a multidimensional sustainability assessment grid of smallholders' oil palm plantations SO INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY LA English DT Article DE oil palm; smallholders; households' strategies; Sumatra AB Oil palm cultivation has become emblematic of the trade-off between development and conservation that growers have to face in the context of global changes. This challenge between economic growth and environmental issues and the growing public debate regarding palm oil development and use require improving data availability to avoid ideological positions. The paper is a contribution towards the establishment of a multidimensional analysis grid to assess the sustainability of palm oil production based on an empirical survey with two levels: (i) holding and (ii) plot. We first aimed to present our approach based on World Agricultural Watch methodological framework. The empirical data were collected in Kampar District, Riau province, at holding level including one to two oil palm plots showing contrasted levels of management (semi-managed and independent). Our first objective was to capture the global rationale of the holdings, to define a typology that would go beyond the usual size-based classification. After assessing the place and role of palm oil production within the household economy, we then tested a set of three-dimensional indicators (i.e. social, economic and environmental) to assess globally the impacts of oil palm development through smallholder development. In a region where oil palm cultivation tends to standardise the landscape, overwhelm the local economy and polarise the households' activity systems, we could identify a significant heterogeneity at holding and household levels. However, the strengthening of our methodology would require a larger sample. C1 [Baudoin, Alice; Marichal, Raphael; Caliman, Jean-Pierre; Bessou, Cecile] CIRAD, UPR Syst Perennes, ELSA, Montpellier, France. [Baudoin, Alice; Bosc, Pierre-Marie] CIRAD, UMR MOISA, F-34398 Montpellier, France. [Moulin, Margot; Wohlfahrt, Julie] INRA SAD ASTER, F-88500 Mirecourt, France. [Marichal, Raphael; Caliman, Jean-Pierre] SMART Res Inst, Pekanbaru 28112, Indonesia. RP Bessou, C (reprint author), CIRAD, UPR Syst Perennes, ELSA, Montpellier, France. EM cecile.bessou@cirad.fr RI bessou, cecile/F-5230-2013 OI bessou, cecile/0000-0001-6686-8468; Wohlfahrt, Julie/0000-0001-6743-3837 FU French National Research Agency (ANR) FX The authors want to thank the French National Research Agency (ANR) which supports the SPOP project (http://spop.cirad.fr/) within the frame of the Agrobiosphere programme. CR Chambers R, 1991, 296 IDS Chayanov AV, 1990, ORG EC PAYSANNE, P344 Colchester M, 2006, PROMISED LAND PALM O, P197 Darnhofer I, 2010, AGRON SUSTAIN DEV, V30, P545, DOI 10.1051/agro/2009053 Eastwood R, 2010, HBK ECON, V18, P3323, DOI 10.1016/S1574-0072(09)04065-1 Fairhurst T, 2003, OIL PALM MANAGEMENT, P384 FAO, 2012, WORLD AGR WATCH METH, P60 Feintrenie L, 2010, SMALL-SCALE FOR, V9, P379, DOI 10.1007/s11842-010-9122-2 FINE B, 2003, J AGRARIAN CHANGE, V0003 Gasselin P, 2014, AGR FAMILLE TRAVAILL, P101 HLPE, 2013, INV SMALLH AGR FOOD, P112 Le K, 2013, THESIS, P75 Levang P, 1997, TERRE FACE TRANSMIGR, P426 McCarthy JF, 2012, WORLD DEV, V40, P555, DOI 10.1016/j.worlddev.2011.07.012 McCarthy JF, 2010, J PEASANT STUD, V37, P821, DOI 10.1080/03066150.2010.512460 Rastoin JL, 2010, SYSTEME ALIMENTAIRE, P565 Ravanera ZR, 2010, SOC INDIC RES, V95, P63, DOI 10.1007/s11205-009-9450-9 RSPO, 2007, PRINC CRIT 1 VERS SU Ruf F., 2004, From slash and burn to replanting: green revolutions in the Indonesian Uplands, P69 Ruf F, 2012, ENJEUX EC ECOLOGIQUE, P312 Yung JM., 1992, DEV AGRICOLE SAHEL, VI, P277 Yung JM, 1992, PRISE COMPTE STRATEG, V19 NR 22 TC 1 Z9 1 U1 0 U2 15 PU TAYLOR & FRANCIS INC PI PHILADELPHIA PA 530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106 USA SN 1350-4509 EI 1745-2627 J9 INT J SUST DEV WORLD JI Int. J. Sustain. Dev. World Ecol. PD NOV 2 PY 2015 VL 22 IS 6 BP 520 EP 532 DI 10.1080/13504509.2015.1090497 PG 13 WC Green & Sustainable Science & Technology; Ecology SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA CW2KU UT WOS:000364821900006 DA 2019-04-09 ER PT J AU Fahimnia, B Sarkis, J Boland, J Reisi, M Goh, M AF Fahimnia, Behnam Sarkis, Joseph Boland, John Reisi, Mohsen Goh, Mark TI Policy insights from a green supply chain optimisation model SO INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH LA English DT Article DE carbon regulatory policy; fuel price; optimisation; green supply chain; environmental sustainability; carbon pricing; case study ID DISTRIBUTION-SYSTEM; SUSTAINABILITY; PERFORMANCE; MANAGEMENT; FRAMEWORK AB This paper introduces a practical supply chain optimisation model that incorporates both economic and carbon emission objectives. The proposed model is implemented to examine the possible economic and environmental trade-offs for various carbon-pricing and fuel-pricing scenarios in an actual case company representing the discrete, durable parts manufacturing sector. Analysis of the numerical results provides important managerial implications and policy insights. For industry practitioners, the findings can assist in identifying the critical activities along the supply chain on which to focus in order to minimise the cost implications of a carbon-pricing regulation. For related policy-makers, the findings provide insights on how carbon should be priced to make meaningful impacts on emissions reduction while matching variations in fuel prices. C1 [Fahimnia, Behnam] Univ Sydney, Sch Business, Inst Transport & Logist Studies, Sydney, NSW 2006, Australia. [Sarkis, Joseph] Worcester Polytech Inst, WPI Sch Business, Worcester, MA 01609 USA. [Boland, John] Univ S Australia, Sch Math & Stat, Adelaide, SA 5001, Australia. [Reisi, Mohsen] Univ Newcastle, Sch Math & Phys Sci, Callaghan, NSW 2308, Australia. [Goh, Mark] Natl Univ Singapore, Logist Inst, Singapore 117548, Singapore. [Goh, Mark] Natl Univ Singapore, NUS Business Sch, Singapore 117548, Singapore. RP Fahimnia, B (reprint author), Univ Sydney, Sch Business, Inst Transport & Logist Studies, Sydney, NSW 2006, Australia. EM behnam.fahimnia@sydney.edu.au RI goh, mark/G-1689-2010; Boland, John/B-3046-2008; Sarkis, Joseph/F-4508-2014 OI goh, mark/0000-0002-3620-7658; Boland, John/0000-0003-1132-7589; Sarkis, Joseph/0000-0003-0143-804X CR Bassi AM, 2011, ENERG POLICY, V39, P4920, DOI 10.1016/j.enpol.2011.06.023 Bassi AM, 2009, ENERG POLICY, V37, P3052, DOI 10.1016/j.enpol.2009.03.055 Bauer J., 2009, J OPERATIONAL RES SO, V61, P530 Bektas T, 2011, TRANSPORT RES B-METH, V45, P1232, DOI 10.1016/j.trb.2011.02.004 Benjaafar S, 2013, IEEE T AUTOM SCI ENG, V10, P99, DOI 10.1109/TASE.2012.2203304 Bhattacharya A, 2014, PROD PLAN CONTROL, V25, P698, DOI 10.1080/09537287.2013.798088 Brandenburg M, 2014, EUR J OPER RES, V233, P299, DOI 10.1016/j.ejor.2013.09.032 Chaabane A, 2012, INT J PROD ECON, V135, P37, DOI 10.1016/j.ijpe.2010.10.025 Elkington J, 1998, J ENV QUAL MANAGE, V8, P37, DOI DOI 10.1002/TQEM.3310080106 Esmaeilikia M, 2016, ANN OPER RES, V244, P429, DOI 10.1007/s10479-013-1513-2 Fahimnia B, 2013, J CLEAN PROD, V59, P210, DOI 10.1016/j.jclepro.2013.06.056 Fahimnia B, 2013, INT J LOGIST-RES APP, V16, P349, DOI 10.1080/13675567.2013.813445 Fahimnia B, 2013, J MANUF SYST, V32, P1, DOI 10.1016/j.jmsy.2012.07.005 Fahimnia B, 2013, TRANSPORT RES D-TR E, V18, P78, DOI 10.1016/j.trd.2012.08.006 Fahimnia B, 2009, INT J ENVIRON TECHNO, V10, P16, DOI 10.1504/IJETM.2009.021574 Godfrey M., 2010, GLOBAL J BUSINESS RE, V4, P27 Gunasekaran A, 2012, INT J PROD ECON, V140, P35, DOI 10.1016/j.ijpe.2011.05.011 Hahn T, 2010, BUS STRATEG ENVIRON, V19, P217, DOI 10.1002/bse.674 Hatcher GD, 2011, J CLEAN PROD, V19, P2004, DOI 10.1016/j.jclepro.2011.06.019 Hervani AA, 2005, BENCHMARKING, V12, P330, DOI 10.1108/14635770510609015 Hickman A. J., 1999, METHODOLOGY CALCULAT Howitt OJA, 2010, ENERG POLICY, V38, P2552, DOI 10.1016/j.enpol.2009.12.050 Ilgin MA, 2010, J ENVIRON MANAGE, V91, P563, DOI 10.1016/j.jenvman.2009.09.037 Jayaraman V., 2011, INT J PROD RES, V50, P1395 Kim NS, 2009, TRANSP RES RECORD, P107, DOI 10.3141/2139-13 Kumar S., 2011, INT J PROD RES, V50, P1278 Letmathe P, 2005, EUR J OPER RES, V167, P398, DOI 10.1016/j.ejor.2004.04.025 MPCCC, 2011, CARB PRIC MECH Sarkis J, 2003, J CLEAN PROD, V11, P397, DOI 10.1016/S0959-6526(02)00062-8 Sarkis J, 2001, INT J OPER PROD MAN, V21, P666, DOI 10.1108/01443570110390390 Sarkis J., 2001, J CLEAN PROD, V9, P417, DOI DOI 10.1016/50959-6526(00)00084-6 Selviaridis K., 2007, International Journal of Logistics Management, V18, P125, DOI 10.1108/09574090710748207 Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 SHRIVASTAVA P, 1995, ACAD MANAGE REV, V20, P936, DOI 10.2307/258961 Shuaib M., 2011, ADV SUSTAINABLE MANU, V8, P347 Srivastava SK, 2007, INT J MANAG REV, V9, P53, DOI 10.1111/j.1468-2370.2007.00202.x Sundarakani B, 2010, INT J PROD ECON, V128, P43, DOI 10.1016/j.ijpe.2010.01.018 Validi S, 2014, INT J PROD ECON, V152, P71, DOI 10.1016/j.ijpe.2014.02.003 Validi S, 2014, INT J PROD RES, V52, P3074, DOI 10.1080/00207543.2013.864054 Varsei M, 2014, SUPPLY CHAIN MANAG, V19, P242, DOI 10.1108/SCM-12-2013-0436 Zhu QH, 2007, J CLEAN PROD, V15, P1041, DOI 10.1016/j.jclepro.2006.05.021 NR 41 TC 23 Z9 23 U1 4 U2 59 PU TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0020-7543 EI 1366-588X J9 INT J PROD RES JI Int. J. Prod. Res. PD NOV 2 PY 2015 VL 53 IS 21 SI SI BP 6522 EP 6533 DI 10.1080/00207543.2014.958592 PG 12 WC Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science SC Engineering; Operations Research & Management Science GA CR5KT UT WOS:000361381400011 DA 2019-04-09 ER PT J AU Nagi, CS Joshi, P Bohra, S AF Nagi, Chandra S. Joshi, Paras Bohra, Sachin TI Rapid Vulnerability Assessment of Yartsa Gunbu (Ophiocordyceps sinensis [Berk.] GH Sung et al) in Pithoragarh District, Uttarakhand State, India SO MOUNTAIN RESEARCH AND DEVELOPMENT LA English DT Article DE Ophiocordyceps sinensis; rapid vulnerability assessment; sustainability; yartsa gunbu ID CHINESE CATERPILLAR FUNGUS; CORDYCEPS-SINENSIS; FOREST PRODUCTS; CONSERVATION; HARVEST; TRADE; PLANT; NEPAL; EXTRACTION; RESOURCES AB Any resource of high value and relevance to rural livelihoods is at risk of overexploitation. The anthropogenic pressure on the caterpillar fungus, Ophiocordyceps sinensis (Berk.) G.H. Sung, J.M. Sung, Hywel-Jones & Spatafora 2007, commonly referred to as yartsa gunbu, is intense, especially given the absence of traditional sustainable collection techniques. Stable harvests are the result of 2 factors: more people searching more intensely and extensively and the ongoing discovery of new areas for harvest. Increasing international demand and prices (presently around US$ 20,000 per kg) have resulted not just in overexploitation but also in the degradation of the funguss habitat, thus endangering its future viability. This article reports on a rapid vulnerability assessment involving 2511 harvesters in 9 broad study sites and 110 villages in the Pithoragarh district in Uttarakhand state, India, in the central Himalaya, and recommends ways to lessen the pressure on this valuable species. C1 [Nagi, Chandra S.; Joshi, Paras; Bohra, Sachin] LSM Govt Postgrad Coll, Dept Zool, Ecol & Biodiver Lab, Pithoragarh 262501, Uttarakhand, India. RP Nagi, CS (reprint author), LSM Govt Postgrad Coll, Dept Zool, Ecol & Biodiver Lab, Pithoragarh 262501, Uttarakhand, India. EM csnsacred1@rediffmail.com FU Ministry of Environment & Forests, New Delhi, India FX The authors gratefully acknowledge the financial help received from Dr Naseem Ahmad, director, Ministry of Environment & Forests, New Delhi, India. The study would not have been possible without the help of village residents who had faith in the project and shared essential information. CR Aryal A, 2008, PARASITIC FUNGAL MOT Aumeeruddy-Thomas Y, 1999, 7 UNESCO Baral B., 2015, Environmental and Experimental Biology, V13, P61 BENNETT BC, 1992, BIOSCIENCE, V42, P599, DOI 10.2307/1311925 Boesi A., 2003, TIBET J, V283, P29 Boot G. R. A., 1995, ECOLOGICAL APPL, V5, P896 Cannon PF, 2009, BIODIVERS CONSERV, V18, P2263, DOI 10.1007/s10531-009-9587-5 Chee-Sanford JC, 2008, BIOL FERT SOILS, V44, P763, DOI 10.1007/s00374-007-0259-x Chen S, 2000, Zhong Yao Cai, V23, P673 CHILDS G., 2014, HIMALAYA, V34, P8 Childs Geoff, 2005, TIBET J, V30, P41 Chu HF, 2004, FAUNA SINICA, V38, P291 Cunningham A.B., 2001, APPL ETHNOBOTANY PEO CUNNINGHAM AB, 1994, BIODIVERS CONSERV, V3, P104, DOI 10.1007/BF02291880 Cunningham AB, 1996, 4 UNESCO Dietz T, 2003, SCIENCE, V302, P1907, DOI 10.1126/science.1091015 Gould K, 1998, FOREST ECOL MANAG, V111, P69, DOI 10.1016/S0378-1127(98)00309-0 HALL P, 1993, ECON BOT, V47, P234, DOI 10.1007/BF02862289 HARDIN G, 1968, SCIENCE, V162, P1243 Hobbs C.H., 1995, MED MUSHROOMS EXPLOR, P251 Holliday J., 2004, INT J MED MUSHROOMS, V6, P147 Hutton JM, 2003, ORYX, V37, P215, DOI 10.1017/S0030605303000395 Kendrick B, 1992, EDIBLE FUNGI CHINA Lu YL, 2003, GUANZHOU FOOD SCI TE, V19, P21 Namgyel P, 2003, REG WORKSH COMM BAS, P95 Negi CS, 2006, INT J SUST DEV WORLD, V13, P165, DOI 10.1080/13504500609469669 Negl CS, 2014, CURRENT SCI, V107, P882 Nielsen ES, 2000, J NAT HIST, V34, P823, DOI 10.1080/002229300299282 Peters C. M., 1996, ECOLOGY MANAGEMENT N Raihan PK, 1982, P INDIAN NATL SCI B, V648, P121 Robbins P, 2009, HUM ECOL, V37, P559, DOI 10.1007/s10745-009-9233-6 Shackleton CM, 2001, ENVIRON CONSERV, V28, P270 Sharma S, 2004, CURR SCI INDIA, V86, P1614 Sheng L, 2011, APPL BIOCHEM BIOTECH, V163, P669, DOI 10.1007/s12010-010-9072-3 Shrestha UB, 2014, SOC NATUR RESOUR, V27, P1242, DOI 10.1080/08941920.2014.928394 Shrestha UB, 2014, BIOL CONSERV, V177, P194, DOI 10.1016/j.biocon.2014.06.019 Shrestha UB, 2013, BIOL CONSERV, V159, P514, DOI 10.1016/j.biocon.2012.10.032 Shrivastava VK, 2010, P BIENN M SCAND SOC, P396 Stewart MO, 2009, CONT VISIONS TIBETAN, P1 Stockdaie M, 2005, STEPS SUSTAINABLE CO Sung GH, 2007, STUD MYCOL, P5, DOI 10.3114/sim.2007.57.01 Sung Jae-Mo, 1999, Korean Journal of Mycology, V27, P15 Ticktin T, 2004, J APPL ECOL, V41, P11 Tslm KWK, 2005, ASIA PACIFIC BIOTECH, V9, P1160 Varghese A, 2008, ECOL SOC, V13 Wang XL, 2011, ZOOKEYS, P43, DOI 10.3897/zookeys.127.802 Watts J, 1996, RECENT APPROACHES PA, P212 Weckerle CS, 2010, BIODIVERS CONSERV, V19, P2685, DOI 10.1007/s10531-010-9867-0 WILD R, 1996, 5 UNESCO Winkler D., 2009, ASIAN MED, V5, P291, DOI DOI 10.1163/157342109X568829 Winkler D, 2008, ECON BOT, V62, P291, DOI 10.1007/s12231-008-9038-3 Wong JLG, 2001, NONWOOD FOREST PRODU Wu Ning, 1997, ECOLOGICAL SITUATION Yue C, 2010, FOOD IND, V2, P60 Zang M, 1998, MYCOTAXON, V66, P215 NR 55 TC 4 Z9 4 U1 0 U2 3 PU MOUNTAIN RESEARCH & DEVELOPMENT PI LAWRENCE PA BUSINESS OFFICE, 810 E 10TH ST, PO BOX 1897, LAWRENCE, KANSAS 66044-8897 USA SN 0276-4741 EI 1994-7151 J9 MT RES DEV JI Mt. Res. Dev. PD NOV PY 2015 VL 35 IS 4 BP 382 EP 391 DI 10.1659/MRD-JOURNAL-D-14-00005.1 PG 10 WC Environmental Sciences; Geography, Physical SC Environmental Sciences & Ecology; Physical Geography GA DD2SC UT WOS:000369771500008 OA DOAJ Gold DA 2019-04-09 ER PT J AU Yang, R Kang, S Ozer, H Al-Qadi, IL AF Yang, Rebekah Kang, Seunggu Ozer, Hasan Al-Qadi, Imad L. TI Environmental and economic analyses of recycled asphalt concrete mixtures based on material production and potential performance SO RESOURCES CONSERVATION AND RECYCLING LA English DT Article DE Life-cycle assessment; Pavement; Road construction; Recycled asphalt pavement; Recycled asphalt shingles; Pavement roughness; Greenhouse gases; Energy consumption ID LIFE-CYCLE ASSESSMENT; PAVEMENTS AB As roadway construction is a material and energy intensive activity with potential impacts on the environment, the pavement industry has been seeking for more sustainable construction practices in the past decades. The use of recycled materials such as reclaimed asphalt pavement (RAP) and recycled asphalt shingle (RAS) is widely accepted as among the most commonly used sustainable strategies for asphalt concrete (AC) pavement due to its ability to partially substitute virgin asphalt binder and aggregate in AC mixtures. This study evaluated the environmental and economic benefits and trade-offs of including recycled materials in pavements using a life-cycle approach. Eleven AC mix designs from Illinois with various asphalt binder replacement (ABR) rates were evaluated in terms of environmental and economic impacts using life-cycle assessment (LCA) and an itemized cost analysis. The LCA was conducted in accordance to International Standard Organization ISO 14044:2006 guidelines. The life-cycle impacts of producing the AC mixtures were calculated in terms of energy, global warming potential, and cost. A general trend of reduction in these three sustainability metrics was observed for mix production with increasing ABR. However, without proper modification and engineering of mix designs (e.g. addition of a softer grade virgin asphalt binder), AC mixtures with high ABR can experience reduced fatigue life. Thus, the effect of pavement performance on the environmental impacts of using mixtures with various ABR was also considered, assuming that these mixtures are used in a 4-in. (102-mm) overlay over a four-lane-mile (1.6 km) roadway. A breakeven concept was used to find the decreased service life at which the energy savings from using recycled asphaltic materials in the overlay equal the additional energy consumption incurred from a potential reduced performance in the pavement use phase. The breakeven point was found to be very sensitive to the traffic level of the overlay, with the breakeven service life decreasing rapidly with increased traffic. (C) 2015 Elsevier B.V. All rights reserved. C1 [Yang, Rebekah; Kang, Seunggu; Ozer, Hasan; Al-Qadi, Imad L.] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA. RP Ozer, H (reprint author), Univ Illinois, Dept Civil & Environm Engn, 205 N Mathews Ave, Urbana, IL 61801 USA. EM hozer2@illinois.edu FU Illinois State Toll Highway Authority through Illinois Center for Transportation FX Part of this work is funded by the Illinois State Toll Highway Authority through the Illinois Center for Transportation. The authors would like to acknowledge the input of Steve Gillen from the Tollway and other partners of the project: Applied Research Associates, Inc. and the Right Environment. The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official view or policies of the Illinois Tollway or ICT. This paper does not constitute a standard, specification, or regulation. CR [Anonymous], 2013, WK44131 ASTM [Anonymous], 1997, ENV MAN LIF CYCL ASS Aurangzeb Q, 2014, RESOUR CONSERV RECY, V83, P77, DOI 10.1016/j.resconrec.2013.12.004 Bare J, 2012, TOOL REDUCTION ASSES Booz Allen Hamilton,, 2013, EPW07020 US ENV PROT Chatti K, 2012, 720 NCHRP Copeland A., 2011, FHWAHRT11021 FED HIG EarthShift, 2013, US EC DAT VERS 2 2 Ghosh L., 2015, C P 94 ANN TRANSP RE Goh S.W., 2011, C P TRANSP DEV I C C Hansen K.R., 2013, INFORM SERIES NATL A, V138 Harvey J., 2011, UCDITSRR1037 U CAL P Huang Y, 2009, J CLEAN PROD, V17, P283, DOI 10.1016/j.jclepro.2008.06.005 Illinois Department of Transportation (IDOT), 2012, 163 IDOT BUR MAT PHY ISO, 2006, 140442006E ISO Johnson E, 2010, INCORPORATION RECYCL Kang S., 2014, 2428 TRANSP RES BOAR, P24 Kang SH, 2013, THESIS Lippert D., 2014, FHWAICT14015 Meli J., 2006, LIFE CYCLE PERSPECTI Ozer H, 2013, TRANSPORT RES REC, P105, DOI 10.3141/2371-12 Prowell B., 2012, TECHNICAL REPORT Sandberg U., 2011, ROLLING RESISTANCE B Santero NJ, 2011, RESOUR CONSERV RECY, V55, P810, DOI 10.1016/j.resconrec.2011.03.009 Sayers M. W., 1986, 46 WORLD BANK SimaPro, 2014, VERS 8 0 4 PRE CONS United States Environmental Protection Agency (US EPA), 2013, INV US GREENH GAS EM USACE FAA, 2000, HOT MIX ASPH PAV HDB Van Dam T. J., 2015, FHWAHIF15002 Vidal R, 2013, RESOUR CONSERV RECY, V74, P101, DOI 10.1016/j.resconrec.2013.02.018 Wang T., 2012, UCPRC LIFE CYCLE Wang T., 2012, UCPRC LIFE CYCLE ASS Williams R. C., 2013, PERFORMANCE RECYCLED Yang R., 2014, INT S PAV LIF CYCL A Yang RY, 2014, THESIS Young T. J., 2007, ENERGY CONSERVATION Yu B, 2012, TRANSPORT RES D-TR E, V17, P380, DOI 10.1016/j.trd.2012.03.004 NR 37 TC 17 Z9 17 U1 1 U2 31 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-3449 EI 1879-0658 J9 RESOUR CONSERV RECY JI Resour. Conserv. Recycl. PD NOV PY 2015 VL 104 BP 141 EP 151 DI 10.1016/j.resconrec.2015.08.014 PN A PG 11 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA DA5SD UT WOS:000367861900015 DA 2019-04-09 ER PT J AU Blokker, T Bek, D Binns, T AF Blokker, Thijs Bek, David Binns, Tony TI Wildflower harvesting on the Agulhas Plain, South Africa: Challenges in a fragmented industry SO SOUTH AFRICAN JOURNAL OF SCIENCE LA English DT Article DE Cape Floristic Region; sustainability; poverty alleviation; conservation; forum; flowers ID GLOBAL VALUE CHAINS; BIODIVERSITY CONSERVATION; NETWORKS; POVERTY; GOVERNANCE; SCALE; TRADE; WORLD AB South Africa's Agulhas Plain is home to the Cape Floristic Region (CFR), one of the richest floras in the world and the smallest of earth's six plant kingdoms. The indigenous fynbos flora is harvested from the wild and is both exported and sold locally. The conservation value of the CFR, and the need to address deeply entrenched socio-economic disparities and high poverty levels have set a challenging context for the wildflower harvesting industry. The strong competition which exists between producers has resulted in fragmentation of the industry and a breakdown in communication. Using data gathered from interviews and meetings with a range of stakeholders, we argue that the wildflower harvesting industry needs to cooperate and improve communication levels to address the challenges collectively. Without such a collective voice, the sustainability of the industry, the CFR and the livelihoods of disadvantaged communities will be affected. The establishment of a 'Wildflower Harvesting Forum' was explored as a possible solution and is recommended as a sustainable way forward. C1 [Blokker, Thijs; Binns, Tony] Univ Otago, Dept Geog, Dunedin 9017, New Zealand. [Bek, David] Coventry Univ, Ctr Business Soc, Coventry, W Midlands, England. RP Blokker, T (reprint author), Univ Otago, Dept Geog, Dunedin 9017, New Zealand. EM blokkerthijs@gmail.com FU Flower Valley Conservation Trust FX We thank the Flower Valley Conservation Trust for all their support and the participants who contributed to this study for their time. We are further grateful for constructive comments from the anonymous referees and the editor. CR Adams WM, 2004, SCIENCE, V306, P1146, DOI 10.1126/science.1097920 Agulhas Biodiversity Initiative (ABI), 2003, AG BIOD IN PROJ BRIE Agulhas Biodiversity Initiative (ABI), SUMM GOOD PRACT GUID Axelrod R. M., 1984, EVOLUTION COOPERATIO Bailey R, 2007, RESOURCE BASE ASSESS Barrett HR, 1999, T I BRIT GEOGR, V24, P159, DOI 10.1111/j.0020-2754.1999.00159.x Bek D, 2012, END PROJECT REV WWF Bek D, 2013, SUSTAIN DEV, V21, P281, DOI 10.1002/sd.499 Bell RG, 2002, ISSUES SCI TECHNOL, V18, P63 Bishop J., 2008, BUILDING BIODIVERSIT Bolton GE, 2000, AM ECON REV, V90, P166, DOI 10.1257/aer.90.1.166 CapeNature, 2013, AB CAPENATURE Chen S, 2007, P NATL ACAD SCI USA, V104, P16757, DOI 10.1073/pnas.0702930104 Conradie B, 2010, SURVEY CULTIVATION W Cousins PD, 2006, J OPER MANAG, V24, P851, DOI 10.1016/j.jom.2005.08.007 Cowling R. M., 1995, FYNBOS S AFRICAS UNI Crane W, 2006, GEOFORUM, V37, P1035, DOI 10.1016/j.geoforum.2006.07.002 Fisher B, 2007, ECOL ECON, V62, P93, DOI 10.1016/j.ecolecon.2006.05.020 Fisher R, 2012, LINKING CONSERVATION Gereffi G, 2005, REV INT POLIT ECON, V12, P78, DOI 10.1080/09692290500049805 Giuliani E, 2005, WORLD DEV, V33, P549, DOI 10.1016/j.worlddev.2005.01.002 HARDIN G, 1968, SCIENCE, V162, P1243 Helliker KD, 2013, SOC DYNAMICS, V39, P317, DOI 10.1080/02533952.2013.806415 Hughes A, 2001, T I BRIT GEOGR, V26, P390, DOI 10.1111/1475-5661.00031 Humphrey J., 2006, GLOBAL VALUE CHAINS Kotze M., 2012, PPSA PRODUCER SURVEY Lawson B, 2009, J PROD INNOVAT MANAG, V26, P156, DOI 10.1111/j.1540-5885.2009.00343.x Matsuoka S, 2007, EFFECTIVE ENV MANAGE, P23 Messner D., 2000, GOVERNANCE NETWORKS Nel E, 2013, MCGILL INT ENTREPR S, P234 Oates John F., 1999, MYTH REALITY RAIN FO Ponte S, 2005, ECON SOC, V34, P1, DOI 10.1080/0308514042000329315 Prahinski C, 2004, J OPER MANAG, V22, P39, DOI 10.1016/j.jom.2003.12.005 Privett S, 2010, FLOWER VALLEY REV AR Privett S, 2006, LIVELIHOODS OUT ASHE Privett S., 2010, FIELD GUIDE FLORA GR Privett S, 2005, VULNERABILITY INDEX Raworth K., 2004, TRADING AWAY OUR RIG Richardson L, 2013, AGULHAS PLAIN FYNBOS Roe D., 2012, CONSERV LETT, V6, P162 Salafsky N, 2000, WORLD DEV, V28, P1421, DOI 10.1016/S0305-750X(00)00031-0 Smith Alex Duval, 2013, GUARDIAN Terborgh J, 2004, CONSERV BIOL, V18, P619, DOI 10.1111/j.1523-1739.2004.01837.x Turpie J, 2000, EC BIOL INVASIONS, P553 United Nations Industrial Development Organization (UNIDO), CLUST BUS LINK VANBEUKERING PJH, 2013, ECOL BIODIVERS CONS, P1, DOI DOI 10.1017/CB09781139225311 NR 46 TC 0 Z9 0 U1 0 U2 2 PU ACAD SCIENCE SOUTH AFRICA A S S AF PI LYNWOOD RIDGE PA PO BOX 72135, LYNWOOD RIDGE 0040, SOUTH AFRICA SN 0038-2353 EI 1996-7489 J9 S AFR J SCI JI S. Afr. J. Sci. PD NOV-DEC PY 2015 VL 111 IS 11-12 BP 63 EP 69 AR 2014-0160 PG 7 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA CX6IW UT WOS:000365805400011 OA DOAJ Gold DA 2019-04-09 ER PT J AU Chavez, VA Parnell, S van den Bosch, F AF Alonso Chavez, Vasthi Parnell, Stephen van den Bosch, Frank TI Designing Strategies for Epidemic Control in a Tree Nursery: the Case of Ash Dieback in the UK SO FORESTS LA English DT Article DE ash dieback; sampling; selling; epidemic; incidence; monitoring; nursery ID FRAXINUS-EXCELSIOR; CHALARA-FRAXINEA; CAUSAL AGENT AB Ash dieback is a fungal disease (causal agent Hymenoscyphus fraxineus) infecting Common ash (Fraxinus excelsior) throughout temperate Europe. The disease was first discovered in the UK in 2012 in a nursery in Southern England, in plants which had been imported from the Netherlands. After sampling other recently planted sites across England, more infected trees were found. Tree trade from outside and across the UK may have facilitated the spread of invasive diseases which threaten the sustainability of forestry business, ecological niches and amenity landscapes. Detecting a disease in a nursery at an early stage and knowing how likely it is for the disease to have spread further in the plant trade network, can help control an epidemic. Here, we test two simple sampling rules that 1) inform monitoring strategies to detect a disease at an early stage, and 2) inform the decision of tracking forward the disease after its detection. We apply these expressions to the case of ash dieback in the UK and test them in different scenarios after disease introduction. Our results are useful to inform policy makers' decisions on monitoring for the control and spread of tree diseases through the nursery trade. C1 [Alonso Chavez, Vasthi; Parnell, Stephen; van den Bosch, Frank] Rothamsted Res, Dept Computat & Syst Biol, Harpenden AL5 2JQ, Herts, England. [Parnell, Stephen] Univ Salford, Sch Environm & Life Sci, Manchester M5 4WT, Lancs, England. RP Chavez, VA (reprint author), Rothamsted Res, Dept Computat & Syst Biol, Harpenden AL5 2JQ, Herts, England. EM vasthi.alonso-chavez@rothamsted.ac.uk; S.R.Parnell@salford.ac.uk; frank.vandenbosch@rothamsted.ac.uk RI parnell, stephen/I-7682-2015 OI parnell, stephen/0000-0002-2625-4557 FU Biotechnology and Biological Sciences Research Council (BBSRC) FX Authors thank two anonymous reviewers for their helpful comments. Many thanks to J. Knight, D. McCann, D. Brown, K. Sacre, J. Dewhurst, M. Hommel, M. Robinson, B. Fraser, S. Ashworth, C. Carpenter, N. Darcy and P. Rochford for providing insight about the nursery industry in the UK. Rothamsted Research receives support from the Biotechnology and Biological Sciences Research Council (BBSRC). CR Alonso Chavez V., 2015, J THEOR BIOL UNPUB Baral HO, 2014, IMA FUNGUS, V5, P79, DOI 10.5598/imafungus.2014.05.01.09 Beatty G.E., 2015, TREE GENET GENOMES, V11, P1614 Bengtsson SBK, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0076429 DEFRA, 2013, CHAL MAN PLAN Enderle R, 2013, EUR J FOREST RES, V132, P865, DOI 10.1007/s10342-013-0717-y Forestry Commission, 2013, NFI PREL EST QUANT B GOTTWALD TR, 2002, PLANT HLTH PROGR, DOI DOI 10.1094/PHP-2002-0812-01-RV Gross A, 2014, MOL PLANT PATHOL, V15, P5, DOI 10.1111/mpp.12073 Kirisits T., 2012, J AGR EXT RURAL DEV, V4, P230, DOI DOI 10.5897/JAERD12.057 Kirisits T, 2012, J AGR EXTENSION RURA, V4, P184, DOI DOI 10.5897/JAERD12.046 Kowalski T, 2006, FOREST PATHOL, V36, P264, DOI 10.1111/j.1439-0329.2006.00453.x Kowalski T, 2009, FOREST PATHOL, V39, P304, DOI 10.1111/j.1439-0329.2008.00589.x Madden L.V., 2007, STUDY PLANT DIS EPID Parnell S, 2015, P ROY SOC B-BIOL SCI, V282, P47, DOI 10.1098/rspb.2015.1478 Parnell S, 2012, J THEOR BIOL, V305, P30, DOI 10.1016/j.jtbi.2012.03.009 Pautasso M, 2013, BIOL CONSERV, V158, P37, DOI 10.1016/j.biocon.2012.08.026 Queloz V, 2011, FOREST PATHOL, V41, P133, DOI 10.1111/j.1439-0329.2010.00645.x Sansford C.E., 2013, FOR COMM, P1 Webber J., 2012, RAPID ASSESSMENT NEE Williams F, 2010, EC COST INVASIVE NON NR 21 TC 4 Z9 4 U1 0 U2 25 PU MDPI AG PI BASEL PA POSTFACH, CH-4005 BASEL, SWITZERLAND SN 1999-4907 J9 FORESTS JI Forests PD NOV PY 2015 VL 6 IS 11 BP 4135 EP 4145 DI 10.3390/f6114135 PG 11 WC Forestry SC Forestry GA CX4XN UT WOS:000365704000018 OA DOAJ Gold DA 2019-04-09 ER PT J AU Tomei, J AF Tomei, Julia TI The sustainability of sugarcane-ethanol systems in Guatemala: Land, labour and law SO BIOMASS & BIOENERGY LA English DT Article DE Guatemala; Sustainability; Biofuel governance; European union; Certification; Sugarcane-ethanol systems ID GLOBAL AGRIFOOD SYSTEM; 3RD-PARTY CERTIFICATION; POLITICAL-ECONOMY; BIOFUELS; GOVERNANCE; SCHEMES AB Since 2010, Guatemala has been exporting ethanol, principally to European markets. This means that Guatemalan biofuel has been certified sustainable, although this is deeply contested with NGO reports drawing attention to the negative impacts of 'agrofuels', particularly for marginalised communities. Guatemala therefore provides an excellent case study for examining not only the impacts of increased global demand for biofuels, but also whether sustainability, as conceptualised by the European Union's Renewable Energy Directive, can capture those issues that are salient to the Guatemalan context. Drawing on more than eighty qualitative, in-depth interviews, this paper finds that the bloc's governance framework for biofuels fails to capture many of the issues that matter most to local people in Guatemala, namely land access, trade unions and compliance with the law. This paper argues that the current framework therefore runs the risk of exacerbating the plight of Guatemala's already marginalised rural communities. (C) 2015 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY license C1 UCL, UCL Energy, London WC1H 0NN, England. RP Tomei, J (reprint author), UCL, UCL Energy, Cent House,14 Upper Woburn Pl, London WC1H 0NN, England. EM j.tomei@ucl.ac.uk RI Donnison, Iain/K-6138-2014 OI Donnison, Iain/0000-0001-6276-555X; Tomei, Julia/0000-0002-2156-1603 FU UK EPSRC Supergen Bioenergy and Biomass Consortium FX An earlier draft of this paper was presented at the International Bioenergy Conference 2014. This research was supported by the UK EPSRC Supergen Bioenergy and Biomass Consortium. I would like to thank all those who kindly participated in this research project. Thank you also to Tina Blaber-Wegg, Mirjam Roder and three anonymous reviewers for their constructive comments on earlier versions of this paper. CR Alonso-Fradejas A, 2012, CAN J DEV STUD, V33, P509, DOI 10.1080/02255189.2012.743455 Ariza-Montobbio P, 2010, J PEASANT STUD, V37, P875, DOI 10.1080/03066150.2010.512462 Bailis R, 2011, ANN ASSOC AM GEOGR, V101, P827, DOI 10.1080/00045608.2011.568867 Briscoe I., 2010, STATE SEIGE ELITES C, P72 CENGICANA, 2013, STAT B Communication from the Commission, 2005, COMM COMM BIOM ACT P Dauvergne P, 2010, J PEASANT STUD, V37, P631, DOI 10.1080/03066150.2010.512451 Diaz-Chavez RA, 2011, ENERG POLICY, V39, P5763, DOI 10.1016/j.enpol.2011.03.054 European Commission, 2013, BIOF SUST SCHEM Fortin E, 2013, GLOBALIZATIONS, V10, P141, DOI 10.1080/14747731.2013.760910 German L, 2012, ENERG POLICY, V51, P765, DOI 10.1016/j.enpol.2012.09.022 Glasbergen P., 2007, PARTNERSHIPS GOVERNA, P1 Hamelinck C., 2013, ENERC14632011LOT2 BB, P451 Hamelinck C., 2011, TREND14582009 EC, P553 Hatanaka M, 2005, FOOD POLICY, V30, P354, DOI 10.1016/j.foodpol.2005.05.006 Hatanaka M, 2008, SOILS FOUND, V48, P73, DOI 10.1111/j.1467-9523.2008.00453.x Hodbod J, 2013, GEOGR COMPASS, V7, P478, DOI 10.1111/gec3.12051 Hunsberger C, 2014, GEOFORUM, V54, P248, DOI 10.1016/j.geoforum.2013.09.022 Hurtado L., 2008, CITY, P28 Hurtado L., 2012, QUE TIPO EMPLEO OFRE, P66 INE, 2004, 4 CENS AGR INTERNATIONAL SUSTAINABILITY AND CARBON CERTIFICATION (ISCC), 2011, SUST REQ PROD BIOM Krznaric R., 2006, J HUMAN DEV, V7, P111, DOI DOI 10.1080/14649880500502144 Linares L., 2013, SHARED HARVESTS AGR, P213 Luxner L., 2013, WASHINGTON DIPLOMAT Mathews JA, 2007, ENERG POLICY, V35, P3550, DOI 10.1016/j.enpol.2007.02.011 Mingorria S., 2010, METABOLISMO SOCIOECO, P166 Mol APJ, 2007, SOCIOL RURALIS, V47, P297, DOI 10.1111/j.1467-9523.2007.00446.x Oglesby E, 2004, ENVIRON PLANN D, V22, P553, DOI 10.1068/d424 Pilgrim S., 2010, SOCIOLOGICAL RESEARC, V15, P4, DOI DOI 10.5153/SRO.2192 Rosillo-Calle F., 2010, FOOD VERSUS FUEL INF SAVIA, 2011, REAL EC GUAT VIS LOC, P40 Scarlat N, 2011, ENERG POLICY, V39, P1630, DOI 10.1016/j.enpol.2010.12.039 SEGEPLAN, 2011, PLAN DES INT LIT PAC, P208 Sorda G, 2010, ENERG POLICY, V38, P6977, DOI 10.1016/j.enpol.2010.06.066 Tay K., 2010, GT1008 USDA GAIN, P10 Tay K., 2012, GTBIOFUEL1 USDA GAIN, P10 Winkler K., 2013, TERRITORIALIDAD TZUT, P158 NR 38 TC 10 Z9 10 U1 0 U2 12 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0961-9534 EI 1873-2909 J9 BIOMASS BIOENERG JI Biomass Bioenerg. PD NOV PY 2015 VL 82 BP 94 EP 100 DI 10.1016/j.biombioe.2015.05.018 PG 7 WC Agricultural Engineering; Biotechnology & Applied Microbiology; Energy & Fuels SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels GA CV7DT UT WOS:000364433300010 OA Green Published, Other Gold DA 2019-04-09 ER PT J AU Zhang, WC Peng, SJ Sun, CW AF Zhang, Wencheng Peng, Shuijun Sun, Chuanwang TI CO2 emissions in the global supply chains of services: An analysis based on a multi-regional input-output model SO ENERGY POLICY LA English DT Article DE Service sector; CO2 emissions; Multi-regional input-output model ID STRUCTURAL DECOMPOSITION ANALYSIS; INTERNATIONAL-TRADE; SECTOR; CHINA; RESPONSIBILITY; SUBSYSTEMS; POLLUTION; IMPACTS AB As the service sector dominates the economy in developed countries, its environmental impact has become an important issue. Based on a multi-regional input-output model, this paper estimates consumption-based emissions of service sectors of 41 countries and regions, and discusses the emission abatement policy of service sectors. The results indicate that consumption-based emissions of the service sector in most countries and regions are much greater than direct emissions generated by the service sector. Further decomposition by production sources demonstrates that final demand for services in certain countries causes substantial emissions in the other countries. In most countries, major parts of consumption-based emissions of the service sector come from upstream emissions in non-service sectors due to the intermediate consumption of non-service inputs in the service sector. For the US and China, the consumption-based emissions of their service sectors are traced back to different service consumption bundles and production sectors, which enable us to identify service categories and production sectors that play key roles in the impact of service sectors on CO2 emissions. Finally, policy implications of the results are discussed for the climate effect of the service-oriented economy, global mitigation of climate change, sustainability, and the decarbonization of the service sector. (c) 2015 Elsevier Ltd. All rights reserved. C1 [Zhang, Wencheng; Peng, Shuijun] Xiamen Univ, Sch Econ, Dept Int Econ & Business, Xiamen 361005, Peoples R China. [Sun, Chuanwang] Xiamen Univ, Sch Econ, Collaborat Innovat Ctr Energy Econ & Energy Polic, Xiamen 361005, Peoples R China. RP Peng, SJ (reprint author), Xiamen Univ, Sch Econ, Dept Int Econ & Business, Xiamen 361005, Peoples R China. EM shuijun_peng@xmu.edu.cn FU Major Program of the National Social Science Fund of China [13ZD167]; Ministry of Education Foundation of China [13JZD010]; National Natural Science Foundation of China [71373218, 71073131, 71303199]; Social Science Planning Fund Program of Fujian Province [2014C045]; Principal Foundation of Xiamen University [20720151026, 20720151039] FX This paper is supported by the Major Program of the National Social Science Fund of China (Grant 13&ZD167), the Major Program of the Ministry of Education Foundation of China (Grant 13JZD010), and the National Natural Science Foundation of China (Grants 71373218, 71073131 and 71303199), Social Science Planning Fund Program of Fujian Province (Grant 2014C045), and Principal Foundation of Xiamen University (Grants 20720151026 and 20720151039). We would like to express our gratitude to three anonymous reviewers for their constructive comments, which have greatly helped improve the paper. CR Alcantara V, 2009, ECOL ECON, V68, P905, DOI 10.1016/j.ecolecon.2008.07.010 [Anonymous], 2008, FINANCIAL TIMES Arto I, 2014, ENERG POLICY, V66, P517, DOI 10.1016/j.enpol.2013.11.046 Butnar I, 2011, ECOL ECON, V70, P2012, DOI 10.1016/j.ecolecon.2011.05.017 Chan ESW, 2008, INT J HOSP MANAG, V27, P187, DOI 10.1016/j.ijhm.2007.07.011 Chichilnisky Graciela, 1998, J INT TRADE ECON DEV, V7, P39 Davis SJ, 2010, P NATL ACAD SCI USA, V107, P5687, DOI 10.1073/pnas.0906974107 EIA, 2014, ELECT POWER MONTHLY Ferng JJ, 2003, ECOL ECON, V46, P121, DOI 10.1016/S0921-8009(03)00104-6 Gallego B., 2005, ECON SYST RES, V17, P365, DOI DOI 10.1080/09535310500283492 Grove S. J., 1996, EUR J MARKETING, V30, P56, DOI DOI 10.1108/03090569610118777 Larsen HN, 2009, ENVIRON SCI POLICY, V12, P791, DOI 10.1016/j.envsci.2009.07.010 Lenzen M, 2007, ECOL ECON, V61, P27, DOI 10.1016/j.ecolecon.2006.05.018 Liu Y, 2013, ENERG POLICY, V61, P544, DOI 10.1016/j.enpol.2013.05.121 Miller G, 2010, ANN TOURISM RES, V37, P627, DOI 10.1016/j.annals.2009.12.002 Minx JC, 2011, ENVIRON SCI TECHNOL, V45, P9144, DOI 10.1021/es201497m Moller S, 2008, SOC SCI RES, V37, P1039, DOI 10.1016/j.ssresearch.2007.11.004 Munoz P, 2010, ECOL ECON, V69, P2003, DOI 10.1016/j.ecolecon.2010.05.017 Nansai K, 2009, ENVIRON SCI TECHNOL, V43, P4241, DOI 10.1021/es8025775 Oliver-Sola J, 2007, J IND ECOL, V11, P83, DOI 10.1162/jie.2007.1193 Perch-Nielsen S, 2010, ENVIRON SCI POLICY, V13, P131, DOI 10.1016/j.envsci.2009.12.002 Perraton J, 2006, AM J ECON SOCIOL, V65, P641, DOI 10.1111/j.1536-7150.2006.00468.x Peters GP, 2008, ECOL ECON, V65, P13, DOI 10.1016/j.ecolecon.2007.10.014 Peters GP, 2008, ENVIRON SCI TECHNOL, V42, P1401, DOI 10.1021/es072023k Peters GP, 2011, ECON SYST RES, V23, P131, DOI 10.1080/09535314.2011.563234 Proops JLR, 1999, ECOL ECON, V28, P75, DOI 10.1016/S0921-8009(98)00030-5 Quah D., 1997, BANK ENGLAND Q B, V37, P49 Rosenblum J, 2000, ENVIRON SCI TECHNOL, V34, P4669, DOI 10.1021/es9914083 Salzman J, 1999, UCLA LAW REV, V47, P411 Sanchez-Choliz J, 2005, ECOL ECON, V53, P325, DOI 10.1016/j.ecolecon.2004.09.013 Suh S, 2006, ENVIRON SCI TECHNOL, V40, P6555, DOI 10.1021/es0609351 Timilsina GR, 2009, ENERG POLICY, V37, P4523, DOI 10.1016/j.enpol.2009.06.009 Timmer M. P., 2015, REV INT EC Tukker A, 2013, ECON SYST RES, V25, P1, DOI 10.1080/09535314.2012.761179 Wang T, 2008, CLIM POLICY, V8, P577, DOI 10.3763/cpol.2008.0531 Weber CL, 2008, ENERG POLICY, V36, P3572, DOI 10.1016/j.enpol.2008.06.009 Wiedmann T, 2007, ECOL ECON, V61, P15, DOI 10.1016/j.ecolecon.2006.12.003 Wolfl A., 2005, OECD STI WORKING PAP, V2005/3 Xu Y, 2014, ECOL ECON, V101, P10, DOI 10.1016/j.ecolecon.2014.02.015 Zhang YG, 2013, ENERG ECON, V40, P967, DOI 10.1016/j.eneco.2013.05.025 NR 40 TC 27 Z9 28 U1 5 U2 47 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0301-4215 EI 1873-6777 J9 ENERG POLICY JI Energy Policy PD NOV PY 2015 VL 86 BP 93 EP 103 DI 10.1016/j.enpol.2015.06.029 PG 11 WC Economics; Energy & Fuels; Environmental Sciences; Environmental Studies SC Business & Economics; Energy & Fuels; Environmental Sciences & Ecology GA CV4OJ UT WOS:000364246100009 DA 2019-04-09 ER PT J AU Kidd, IM Fischer, A Chai, SH Davis, JA AF Kidd, Ian M. Fischer, Andrew Chai, Shuhong Davis, Jenny A. TI A scenario-based approach to evaluating potential environmental impacts following a tidal barrage installation SO OCEAN & COASTAL MANAGEMENT LA English DT Article DE Total exclusion barrage; Remnant estuary; Tidal prism; Bathymetry; Migratory species; Morphology ID BIODIVERSITY OFFSETS; ESTUARINE MORPHOLOGY; TAMAR ESTUARY; CONSERVATION; CONTAMINANTS; RESTORATION; PREDICTION; SEDIMENT; DYNAMICS; TASMANIA AB Total exclusion barrages have a high impact on estuarine systems as they are permanent barriers to tidal flow. The environmental impacts of five putative barrages in various locations within the Tamar River estuary in northern Tasmania, Australia were assessed by considering likely hydrological, morphological and ecological outcomes. We found that all hypothetical barrages would produce downstream silt accretion, some to the point where a major port would become unusable without ongoing dredging. The closer a barrage was located to the mouth of the estuary, the greater the loss of tidal prism, the lower the effect of flushing by floodwaters, and the greater the loss of estuarine biodiversity. Eradication of invasive rice grass (Spartina anglica) in the mid estuary is potentially a positive outcome, whilst constant head-pond surface heights could cause bank erosion and subsidence. Loss of tidal wetlands would contravene the international treaties protecting the migratory waterbirds which use these habitats. Installation of a barrage at the uppermost location appears to represent the best trade-off between adverse impacts and increased recreational and visual amenity. Unfortunately, barrage installation at any site within the estuary fails to address the major anthropogenic stressors of reduced riverine inflows and tidal flushing. A wider sustainability analysis is needed in which the costs of meeting environmental, social and economic objectives are considered. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Kidd, Ian M.; Fischer, Andrew] Univ Tasmania, Inst Marine & Antarctic Studies, Launceston, Tas 7248, Australia. [Chai, Shuhong] Univ Tasmania, Australian Maritime Coll, Natl Ctr Marine Engn & Hydrodynam, Launceston, Tas 7248, Australia. [Davis, Jenny A.] Univ Canberra, Inst Appl Ecol, Canberra, ACT 2617, Australia. RP Kidd, IM (reprint author), Univ Tasmania, Inst Marine & Antarctic Studies, Launceston, Tas 7248, Australia. EM imkidd@utas.edu.au RI ; Chai, Shuhong/N-4091-2017 OI Fischer, Andrew/0000-0001-5284-6428; Chai, Shuhong/0000-0001-5186-4456 FU University of Canberra; University of Tasmania FX The constructive comments from Dr Andrew Boulton and other anonymous reviewers are greatly appreciated as is the support provided by University of Canberra and the University of Tasmania. CR AUS_168, 2012, RIV TAM LONG REACH L Bernhardt ES, 2005, SCIENCE, V308, P636, DOI 10.1126/science.1109769 BMT_WBM, 2008, TAM EST REV FOST Burgin S, 2008, BIODIVERS CONSERV, V17, P807, DOI 10.1007/s10531-008-9319-2 Chanson H, 2011, HOUILLE BLANCHE, P5 Clark NA, 2006, IBIS, V148, P152, DOI 10.1111/j.1474-919X.2006.00519.x Davis J, 2012, ESTUAR COAST, V35, P1007, DOI 10.1007/s12237-012-9498-7 Dennis JM, 2000, PHYS CHEM EARTH PT B, V25, P45, DOI 10.1016/S1464-1909(99)00119-7 DRONKERS J, 1986, NETH J SEA RES, V20, P117, DOI 10.1016/0077-7579(86)90036-0 Dyer K.R., 1997, ESTUARIES PHYS INTRO Edgar GJ, 2000, BIOL CONSERV, V92, P383, DOI 10.1016/S0006-3207(99)00111-1 Elias EPL, 2006, MAR GEOL, V225, P5, DOI 10.1016/j.margeo.2005.09.008 Ellison J.C., 2014, ESTUARIES AUSTR 2050, P69 Emphasys Consortium, 2000, PREDICTING SHAPE FUT, P83 Foster D., 1986, TAMAR RIVER SILTATIO Foster D., 1987, 8 AUSTR C COAST OC E, V300 FRIEDRICHS CT, 1988, ESTUAR COAST SHELF S, V27, P521, DOI 10.1016/0272-7714(88)90082-0 Gray A, 1992, ECOLOGICAL IMPACT ES Harvey N., 1996, AUSTR GEOGRAPHICAL S, V34, P45, DOI DOI 10.1111/J.1467-8470.1996.TB00102.X Heathcote JA, 2003, Q J ENG GEOL HYDROGE, V36, P159 Hegerty K., 1986, HYDR WAT RES S 1986, V54 Hood WG, 2002, RESTOR ECOL, V10, P213, DOI 10.1046/j.1526-100X.2002.02034.x HOWARD AD, 1965, AM J SCI, V263, P302, DOI 10.2475/ajs.263.4.302 Jenson A., 2000, RIVER MURRAY BARRAGE Ji U, 2011, J HYDRAUL ENG-ASCE, V137, P1522, DOI 10.1061/(ASCE)HY.1943-7900.0000395 Kidd I.M., 2015, 1 ORDER MOR IN PRESS Kidd I.M., 2014, NAT RESOUR, V5, P607 Kiesecker JM, 2009, BIOSCIENCE, V59, P77, DOI 10.1525/bio.2009.59.1.11 Kirby R., 2005, P I CIVIL ENG-ENG SU, V158, P31 McKenney BA, 2010, ENVIRON MANAGE, V45, P165, DOI 10.1007/s00267-009-9396-3 Morris RKA, 2013, OCEAN COAST MANAGE, V79, P52, DOI 10.1016/j.ocecoaman.2012.05.010 O'Brien M.P., 1931, CIVIL ENG, V1, P738 O'Brien M.P., 1966, COAST ENG P, V1 Phillips M., 2007, J COASTAL RES, P794 PIANC, 2011, WORK NAT POST, 2013, ENV IMP TID EN BARR Prandle D, 2004, PROG OCEANOGR, V61, P1, DOI 10.1016/j.procean.2004.03.001 PRANDLE D, 1980, ESTUAR COAST MAR SCI, V11, P53, DOI 10.1016/S0302-3524(80)80029-6 Prandle D, 2003, J PHYS OCEANOGR, V33, P2738, DOI 10.1175/1520-0485(2003)033<2738:RBTDAB>2.0.CO;2 Prandle D., 2013, PHYS SHALLOW ESTUARI, P41 Prandle D, 2006, GEOMORPHOLOGY, V81, P309, DOI 10.1016/j.geomorph.2006.04.017 REUK, 2009, SEV BARR TID POW Rissik D., 2014, REPORTS Seen A, 2004, ENVIRON CHEM, V1, P49, DOI 10.1071/EN04011 Sheehan M., 2004, P 3 INT C INV SPART, P129 Sheehan MR, 2014, ESTUAR COAST SHELF S, V149, P24, DOI 10.1016/j.ecss.2014.07.006 Stive M., 1998, MORPHODYNAMICS TIDAL, P397 Syvitski JPM, 2007, GLOBAL PLANET CHANGE, V57, P261, DOI 10.1016/j.gloplacha.2006.12.001 TEER, 2012, TAM EST 2012 REP CAR Todeschini I, 2008, J GEOPHYS RES-OCEANS, V113, DOI 10.1029/2007JC004094 van Proosdij D, 2009, J COASTAL RES, P772 VANDEKREEKE J, 1993, NETH J SEA RES, V31, P209, DOI 10.1016/0077-7579(93)90022-K VANDONGEREN AR, 1994, COAST ENG, V22, P287 Walker DJ, 2003, J COASTAL RES, V19, P171 Walker S., 1996, COAST ENG P, V1 Webster I.T., 2005, WATER HLTH COUNTRY N Worrall F., 2007, WATER ENVIRON J, V12, P144 Xu Y, 2011, CHEMOSPHERE, V83, P963, DOI 10.1016/j.chemosphere.2011.02.029 NR 58 TC 7 Z9 7 U1 2 U2 28 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0964-5691 EI 1873-524X J9 OCEAN COAST MANAGE JI Ocean Coastal Manage. PD NOV PY 2015 VL 116 BP 9 EP 19 DI 10.1016/j.ocecoaman.2015.06.016 PG 11 WC Oceanography; Water Resources SC Oceanography; Water Resources GA CV7FB UT WOS:000364436700002 DA 2019-04-09 ER PT J AU Lafond, V Cordonnier, T Courbaud, B AF Lafond, Valentine Cordonnier, Thomas Courbaud, Benoit TI Reconciling Biodiversity Conservation and Timber Production in Mixed Uneven-Aged Mountain Forests: Identification of Ecological Intensification Pathways SO ENVIRONMENTAL MANAGEMENT LA English DT Article DE Ecosystem services; Simulation model; Samsara2; Group selection system; Retention; Metamodel ID NORWAY SPRUCE FOREST; COARSE WOODY DEBRIS; TREE MICROHABITATS; SPECIES-DIVERSITY; SILVICULTURAL SYSTEMS; DISTURBANCE REGIMES; ECOSYSTEM SERVICES; GROUP SELECTION; CLIMATE-CHANGE; OLD-GROWTH AB Mixed uneven-aged forests are considered favorable to the provision of multiple ecosystem services and to the conciliation of timber production and biodiversity conservation. However, some forest managers now plan to increase the intensity of thinning and harvesting operations in these forests. Retention measures or gap creation are considered to compensate potential negative impacts on biodiversity. Our objectives were to assess the effect of these management practices on timber production and biodiversity conservation and identify potential compensating effects between these practices, using the concept of ecological intensification as a framework. We performed a simulation study coupling Samsara2, a simulation model designed for spruce-fir uneven-aged mountain forests, an uneven-aged silviculture algorithm, and biodiversity models. We analyzed the effect of parameters related to uneven-aged management practices on timber production, biodiversity, and sustainability indicators. Our study confirmed that the indicators responded differently to management practices, leading to trade-offs situations. Increasing management intensity had negative impacts on several biodiversity indicators, which could be partly compensated by the positive effect of retention measures targeting large trees, non-dominant species, and deadwood. The impact of gap creation was more mitigated, with a positive effect on the diversity of tree sizes and deadwood but a negative impact on the spruce-fir mixing balance and on the diversity of the understory layer. Through the analysis of compensating effects, we finally revealed the existence of possible ecological intensification pathways, i.e., the possibility to increase management intensity while maintaining biodiversity through the promotion of nature-based management principles (gap creation and retention measures). C1 [Lafond, Valentine; Cordonnier, Thomas; Courbaud, Benoit] Irstea EMGR, F-38402 St Martin Dheres, France. [Lafond, Valentine; Cordonnier, Thomas; Courbaud, Benoit] Univ Grenoble Alpes, F-38402 Grenoble, France. RP Lafond, V (reprint author), Irstea EMGR, 2 Rue Papeterie,BP 76, F-38402 St Martin Dheres, France. EM valentine.lafond@yahoo.fr OI Lafond, Valentine/0000-0002-1160-7129; Cordonnier, Thomas/0000-0003-3684-4662 FU GeForHet Project, from the French research program "Biodiversity, Forest Management and Public Policy" (BGF) [E23/2010]; European Research Project "Advanced multifunctional forest management in European mountain ranges" (ARANGE) [289437] FX We would like to thank Clementine Prieur and Robert Faivre for their methodological support as regards the experiment design, sensitivity analysis, and metamodeling approach, as well as for their comments on earlier versions of this manuscript. We are grateful to Francois de Coligny for his help with the programming work, and to Frederic Gosselin for his work on the adaptation and implementation of the understory vegetation models in Samsara2. We also thank three anonymous reviewers for their helpful comments and suggestions. This work was financially supported by both the GeForHet Project (No. E23/2010), from the French research program "Biodiversity, Forest Management and Public Policy" (BGF), and the European Research Project "Advanced multifunctional forest management in European mountain ranges" (ARANGE, No. 289437). CR Ares A, 2009, APPL VEG SCI, V12, P472, DOI 10.1111/j.1654-109X.2009.01042.x Baskent EZ, 2009, ENVIRON MODEL ASSESS, V14, P467, DOI 10.1007/s10666-008-9148-4 Bergeron Y, 1999, FOREST CHRON, V75, P49, DOI 10.5558/tfc75049-1 Bolton NW, 2011, FOREST ECOL MANAG, V262, P1215, DOI 10.1016/j.foreco.2011.06.019 Bommarco R, 2013, TRENDS ECOL EVOL, V28, P230, DOI 10.1016/j.tree.2012.10.012 Boncina A, 2011, INT FOREST REV, V13, P13, DOI 10.1505/ifor.13.1.13 Boscolo M, 2003, J ENVIRON ECON MANAG, V46, P251, DOI 10.1016/S0095-0696(02)00034-7 Boyden S, 2012, ECOL APPL, V22, P1578 Cordonnier T, 2008, FOREST ECOL MANAG, V256, P347, DOI 10.1016/j.foreco.2008.04.028 Courbaud B, 2003, AGR FOREST METEOROL, V116, P1, DOI 10.1016/S0168-1923(02)00254-X Courbaud B, ECOL MODEL Courbaud B, 2010, REV GEOGR ALP, V98, P412 Da Silva D, 2014, ANN BOT-LONDON, V114, P739, DOI 10.1093/aob/mcu034 Diaci J, 2011, FORESTRY, V84, P463, DOI 10.1093/forestry/cpr053 Diaci J, 2011, FOREST ECOL MANAG, V262, P931, DOI 10.1016/j.foreco.2011.05.024 Dore T, 2011, EUR J AGRON, V34, P197, DOI 10.1016/j.eja.2011.02.006 Duduman G, 2011, FORESTRY, V84, P301, DOI 10.1093/forestry/cpr014 Dufour-Kowalski S, 2012, ANN FOREST SCI, V69, P221, DOI 10.1007/s13595-011-0140-9 Duguid MC, 2013, FOREST ECOL MANAG, V303, P81, DOI 10.1016/j.foreco.2013.04.009 Duncker PS, 2012, ECOL SOC, V17, DOI 10.5751/ES-05066-170450 Falk KJ, 2008, FOREST ECOL MANAG, V255, P2486, DOI 10.1016/j.foreco.2008.01.033 Fan ZF, 2003, CAN J FOREST RES, V33, P1481, DOI [10.1139/x03-068, 10.1139/X03-068] Gauquelin X., 2006, GUIDE SYLVICULTURES Goreaud F, 2006, SIMUL-T SOC MOD SIM, V82, P475, DOI 10.1177/0037549706070397 Gustafsson L, 2012, BIOSCIENCE, V62, P633, DOI 10.1525/bio.2012.62.7.6 Holeksa J, 2008, CAN J FOREST RES, V38, P415, DOI 10.1139/X07-139 Jost L, 2006, OIKOS, V113, P363, DOI 10.1111/j.2006.0030-1299.14714.x Kobilinsky A, 2013, PLANOR R PACKAGE AUT Kohler P, 2007, ECOL MODEL, V203, P511, DOI 10.1016/j.ecolmodel.2006.11.023 Lafond V, 2014, THESIS U J FOURIER F Lafond V, 2014, ANN FOREST SCI, V71, P937, DOI 10.1007/s13595-013-0353-1 Lafond V, 2014, ANN FOREST SCI, V71, P173, DOI 10.1007/s13595-013-0291-y Lagarrigues G, 2015, ECOL MODEL, V306, P278, DOI 10.1016/j.ecolmodel.2014.09.023 Lardy R, 2014, ENVIRON MODELL SOFTW, V52, P38, DOI 10.1016/j.envsoft.2013.10.015 Larrieu L, 2012, CAN J FOREST RES, V42, P1433, DOI [10.1139/X2012-077, 10.1139/x2012-077] Lassauce A, 2011, ECOL INDIC, V11, P1027, DOI 10.1016/j.ecolind.2011.02.004 Lexer MJ, 2005, FOREST ECOL MANAG, V207, P1, DOI 10.1016/j.foreco.2004.11.002 Lindenmayer DB, 2012, CONSERV LETT, V5, P421, DOI 10.1111/j.1755-263X.2012.00257.x Marcot BG, 2012, FOREST ECOL MANAG, V285, P123, DOI 10.1016/j.foreco.2012.08.024 Mendoza GA, 2006, FOREST ECOL MANAG, V230, P1, DOI 10.1016/j.foreco.2006.03.023 Moning C, 2008, FOREST ECOL MANAG, V256, P1198, DOI 10.1016/j.foreco.2008.06.018 Neumann M, 2001, FOREST ECOL MANAG, V145, P91, DOI 10.1016/S0378-1127(00)00577-6 Nilsson SG, 2002, FOREST ECOL MANAG, V161, P189, DOI 10.1016/S0378-1127(01)00480-7 O'Hara KL, 2013, FORESTRY, V86, P401, DOI 10.1093/forestry/cpt012 OWEN AB, 1992, STAT SINICA, V2, P439 Paillet Y, 2010, CONSERV BIOL, V24, P101, DOI 10.1111/j.1523-1739.2009.01399.x PEFC, 2012, SCHEM CERT FOR PEFC Perlman J, 2014, GLOBAL ECOL BIOGEOGR, V23, P912, DOI 10.1111/geb.12166 Perry RW, 2013, FOREST ECOL MANAG, V307, P274, DOI 10.1016/j.foreco.2013.07.026 Pujol G., 2012, SENSITIVITY SENSITIV R Core Team, 2012, R LANG ENV STAT COMP Redon M, 2014, ANN FOREST SCI, V71, P751, DOI 10.1007/s13595-014-0371-7 Regnery B, 2013, FOREST ECOL MANAG, V295, P118, DOI 10.1016/j.foreco.2013.01.009 Ruger N, 2007, FOREST ECOL MANAG, V252, P52, DOI 10.1016/j.foreco.2007.06.020 Schutz JP, 1999, FORESTRY, V72, P359, DOI 10.1093/forestry/72.4.359 Seidl R, 2011, GLOBAL CHANGE BIOL, V17, P2842, DOI 10.1111/j.1365-2486.2011.02452.x Seymour RS, 2002, FOREST ECOL MANAG, V155, P357, DOI 10.1016/S0378-1127(01)00572-2 Simila M, 2003, FOREST ECOL MANAG, V174, P365, DOI 10.1016/S0378-1127(02)00061-0 Spiecker H, 2003, J ENVIRON MANAGE, V67, P55, DOI 10.1016/S0301-4797(02)00188-3 TANG B, 1993, J AM STAT ASSOC, V88, P1392, DOI 10.2307/2291282 Venables W, 2002, MODERN APPL STAT S Vieilledent G, 2010, OECOLOGIA, V163, P759, DOI 10.1007/s00442-010-1581-9 Vuidot A, 2011, BIOL CONSERV, V144, P441, DOI 10.1016/j.biocon.2010.09.030 Wohlgemuth T, 2002, FOREST ECOL MANAG, V166, P1, DOI 10.1016/S0378-1127(01)00662-4 Zilliox C, 2014, FOREST ECOL MANAG, V321, P105, DOI 10.1016/j.foreco.2013.07.049 NR 65 TC 11 Z9 11 U1 0 U2 26 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 0364-152X EI 1432-1009 J9 ENVIRON MANAGE JI Environ. Manage. PD NOV PY 2015 VL 56 IS 5 BP 1118 EP 1133 DI 10.1007/s00267-015-0557-2 PG 16 WC Environmental Sciences SC Environmental Sciences & Ecology GA CU7KY UT WOS:000363718100008 PM 26105969 DA 2019-04-09 ER PT J AU Elgohary, MM Seddiek, IS Salem, AM AF Elgohary, Mohamed M. Seddiek, Ibrahim S. Salem, Ahmed M. TI Overview of alternative fuels with emphasis on the potential of liquefied natural gas as future marine fuel SO PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART M-JOURNAL OF ENGINEERING FOR THE MARITIME ENVIRONMENT LA English DT Article DE Alternative fuels; natural gas; eco-friendly fuel; gas emission; marine engineering ID DIESEL-ENGINE; OIL; TURBINE; SHIPS; LNG AB Economic and population growths are the most important drivers of growing global energy demand. They led to a rapid development of international seaborne trade and an increase in the number of global vessels. Air pollution from these ships is of great concerns and regulations are currently enforced since May 2005 by the International Maritime Organization to limit such pollution. In this study, we will first review the current global energy demand and its driving forces over next decades, second evaluate the existing alternative fuels that can be used as a bunker fuel to reach sustainability with relatively small changes in the existing marine propulsion options and finally focus on near-term solution, which has the potential for large-scale use. The different alternative fuels were compared in terms of several parameters such as availability, renewability, safety, cost, performance, economy and compliance with emission regulations. This comparison revealed that liquefied natural gas could be considered as the future replacement to the current marine bunker fuel. This conclusion has been further verified by comparing diesel engine with different powers when using both heavy fuel oil and liquefied natural gas. The engines were compared against fuel consumption, cost saving as well as emissions. Liquefied natural gas has proved to be better than heavy fuel oil due to fuel cost reduction by about 31% per year and decrease in emissions of SOx, NOx, CO2 and particulate matter by about 98%, 86%, 11% and 96%, respectively. The resulted emissions from using liquefied natural gas were found to comply with the current International Maritime Organization regulations. Moreover, this article highlights the latest rules and regulations that govern the use of liquefied natural gas as marine fuel onboard ships. C1 [Elgohary, Mohamed M.; Seddiek, Ibrahim S.; Salem, Ahmed M.] King Abdulaziz Univ, Fac Maritime Studies, Dept Marine Engn, Jeddah 21589, Saudi Arabia. [Elgohary, Mohamed M.; Salem, Ahmed M.] Univ Alexandria, Fac Engn, Dept Naval Architecture & Marine Engn, Alexandria, Egypt. [Seddiek, Ibrahim S.] Arab Acad Sci Technol & Maritime Transport, Marine Engn Technol Dept, Alexandria, Egypt. RP Elgohary, MM (reprint author), King Abdulaziz Univ, Fac Maritime Studies, Dept Marine Engn, Jeddah 21589, Saudi Arabia. EM malgohary@kau.edu.sa RI elgohary, mohamed/J-5051-2013; Salem, Ahmed/M-7720-2014 OI Salem, Ahmed/0000-0002-3268-537X; Salem, Ahmed/0000-0003-1047-7649 FU King Abdulaziz University, Jeddah [150-002-D1434]; DSR FX This work was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah, under grant no. 150-002-D1434. The authors, therefore, acknowledge with thanks DSR technical and financial support. CR Andersen M.-L., 2011, COSTS BENEFITS LNG S [Anonymous], 284602010 ISO [Anonymous], 615082005 IEC [Anonymous], 1999, 600925021999 IEC [Anonymous], 600792012 IEC Ariana IM, 2006, A42 ICESPX Balaon T, 2012, TECHNICAL REPORT Banawan AA, 2010, P I MECH ENG M-J ENG, V224, P103, DOI 10.1243/14750902JEME181 Bengtsson S, 2011, P I MECH ENG M-J ENG, V225, P97, DOI 10.1177/1475090211402136 Bentley RW, 2002, ENERG POLICY, V30, P189, DOI 10.1016/S0301-4215(01)00144-6 BP, STAT REV WORLD EN Buhaug O., 2009, 2 IMO GHG STUDY Bui Y, 2011, WARTSILA TECH J MARI, V1, P31 California Air Resources Board, 2005, EM EST METH OC GOING Deal AL, 2013, LIQUEFIED NATURAL GA Det Norske Veritas (DNV), 2013, DNV RUL CLASS SHIPS Det Norske Veritas (DNV), 2012, 13YB7C63 DNV REG DNV Report Joint Industry Project, 2013, CTCR2012038 DNV JOIN Eide MS, 2013, ATMOS CHEM PHYS, V13, P4183, DOI 10.5194/acp-13-4183-2013 El Gohary MM, 2013, INT J NAV ARCH OCEAN, V5, P21, DOI 10.3744/JNAOE.2013.5.1.021 El-Gohary M. M., 2013, J MAR SCI APPL, V12, P219 El-Gohary MM, 2012, P I MECH ENG M-J ENG, V226, P371, DOI 10.1177/1475090212441444 El-Wakil M.M., 1988, POWERPLANT TECHNOLOG EPA, 2009, REG IMP AN CONTR EM Eyring V, 2010, ATMOS ENVIRON, V44, P4735, DOI 10.1016/j.atmosenv.2009.04.059 Frederick A, 2013, 17 INT C EXH LIQ NAT Gerilla P, 2005, J E ASIA SOC TRANSP, V6, P3167 Germanischer Lloyd (GL), 2010, GL RUL GUID 3 Germanischer Lloyd (GL), 2013, 2012005 GL EMSA GIELEN D, 2005, ALTERNATIVE FUELS EN Goldemberg J, 2006, ENERG POLICY, V34, P2185, DOI 10.1016/j.enpol.2005.03.009 Gritsenko D, 2013, MARIT STUD, V12, DOI 10.1186/2212-9790-12-10 HARSEMA A., 2013, LNG FUEL TANK CONTAI International Association of Oil and Gas Producers (OGP), 2013, 118683 OGP International Maritime Organization (IMO), 2012, SUBC BULK LIQ GAS 17 International Maritime Organization (IMO), 2009, INT GUID SAF NAT GAS Kalligeros S, 2003, BIOMASS BIOENERG, V24, P141, DOI 10.1016/S0961-9534(02)00092-2 Kolwzan K., 2012, CLEAN SHIPPING CURRE, V1, P1 Kumar S, 2011, APPL ENERG, V88, P4264, DOI 10.1016/j.apenergy.2011.06.035 Levander O., 2011, TECHNICAL REPORT Levander O., 2011, WARTSILA TECH J DETA, V1, P44 Lin B, 2006, MAR POLICY, V30, P220, DOI 10.1016/j.marpol.2005.01.005 MacLean HL, 2003, PROG ENERG COMBUST, V29, P1, DOI 10.1016/S0360-1285(02)00032-1 Markku M, 2013, EUR HARB MAST COMM E Morsy El Gohary M., 2006, 9 WORLD REN EN C FLO Norwegian Maritime technology Research Institute, 2009, TECHNICAL REPORT Nylund I., 2007, P 25 CIMAC WORLD C C Radwan A, 2007, 25 CIMAC C CIMAC INT SENES Consultants Limited and Air Improvement Resource Inc., 2004, REV METH US CALC MAR SIGTTO, 1995, SHIP SHIP TRANSF GUI Sipila T, 2008, WARTSILA TECH J INDE, V2, P42 Stuer-Lauridsen F, 2010, 1338 EPA DAN MIN ENV Tawfek A, 2005, ALEX ENG J, V44, P705 Thomas RE, 1996, T I MAR ENG C, V108, P81 U.S. Energy Information Administration (EIA), 2013, DOEEIA0484 UNCTAD, 2012, REV MAR TRANSP United Nations Department of Economic and Social Affairs Population Division, 2013, WORLD POP PROSP 2012 Von Wedel R, 1999, TECHNICAL HDB MARINE Westling P., 2013, INT 38 ANN C MALT 5 Woodyard D., 2004, POUNDERS MARINE DIES Yu CW, 2002, P I MECH ENG D-J AUT, V216, P237, DOI 10.1243/0954407021529066 NR 61 TC 3 Z9 3 U1 6 U2 49 PU SAGE PUBLICATIONS LTD PI LONDON PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND SN 1475-0902 EI 2041-3084 J9 P I MECH ENG M-J ENG JI Proc. Inst. Mech. Eng. Part M- J. Eng. Marit. Environ. PD NOV PY 2015 VL 229 IS 4 BP 365 EP 375 DI 10.1177/1475090214522778 PG 11 WC Engineering, Marine SC Engineering GA CU0KP UT WOS:000363205600004 DA 2019-04-09 ER PT J AU John, B Keeler, LW Wiek, A Lang, DJ AF John, Beatrice Keeler, Lauren Withycombe Wiek, Arnim Lang, Daniel J. TI How much sustainability substance is in urban visions? - An analysis of visioning projects in urban planning SO CITIES LA English DT Article DE Visioning; Urban sustainability; Rough set analysis; Resilience thinking; Urban visions ID ROUGH SET APPROACH; LAND-USE; CITIES; SENSE; PARTICIPATION; PARTNERSHIPS; METABOLISM; ECOLOGY; PLACE; CITY AB Cities are hubs of social interaction, trade, and innovation. Yet, they face sustainability challenges of economic decline, social injustices, and environmental degradation. Urban planning is a critical instrument to cope with these challenges. Visioning, the process of constructing desirable future states, can provide direction for sustainability-oriented planning and decision-making and is increasingly used in this capacity. However, there is ample evidence that urban visions are often not designed along a robust set of sustainability principles. We analyze nine explicitly sustainability-related urban visions from Sweden, Germany, Ireland, Canada, USA, and Australia with respect to their sustainability substance, i.e. in how far they, broadly and in detail, adhere to sustainability principles. Using rough set analysis, we identify a number of procedural components that enable or obstruct the inclusion of sustainability substance in urban visions. Results indicate that the sampled urban visions do not substantially and comprehensively include sustainability substance, instead narrowly focus on optimizing the built environment, for example. Furthermore, the sustainability substance of visioning processes benefits from stakeholder engagement that includes capacity building, whereas some other types of participation obstruct the inclusion of sustainability substance. The study concludes with recommendations for visioning processes to yield urban visions with sustainability substance inclusive of a diverse and integrated set of sustainability principles. (c) 2015 Elsevier Ltd. All rights reserved. C1 [John, Beatrice; Keeler, Lauren Withycombe; Wiek, Arnim; Lang, Daniel J.] Univ Luneburg, Fac Sustainabil, D-21335 Luneburg, Germany. [Wiek, Arnim] Arizona State Univ, Sch Sustainabil, Tempe, AZ 85287 USA. RP John, B (reprint author), Univ Luneburg, Fac Sustainabil, Scharnhorststr 1, D-21335 Luneburg, Germany. EM beatrice.john@leuphana.de RI ; Wiek, Arnim/C-6714-2008 OI John, Beatrice/0000-0002-8612-1481; Wiek, Arnim/0000-0001-8058-6440 CR APA-American Planning Association, 2015, NAT PLANN AW Baker K, 2010, FUTURE CITY, V2, P129, DOI 10.1007/978-1-4020-8647-2_6 Beers PJ, 2010, FUTURES, V42, P723, DOI 10.1016/j.futures.2010.04.017 Berke PR, 2000, J AM PLANN ASSOC, V66, P21, DOI 10.1080/01944360008976081 Bilharz M, 2011, GAIA, V20, P232, DOI 10.14512/gaia.20.4.5 BioRegional (, 2012, APPR HOL APPR SUST Blumer YB, 2013, ENERG POLICY, V60, P386, DOI 10.1016/j.enpol.2013.05.075 Bolund P, 1999, ECOL ECON, V29, P293, DOI 10.1016/S0921-8009(99)00013-0 Bramley G, 2010, FUTURE CITY, V2, P105, DOI 10.1007/978-1-4020-8647-2_5 Brunner PH, 2007, J IND ECOL, V11, P11, DOI 10.1162/jie.2007.1293 Carlsson L, 2005, J ENVIRON MANAGE, V75, P65, DOI 10.1016/j.jenvman.2004.11.008 City of Saskatoon, 2011, COMM VIS SASK SPECKS City of Sydney, 2009, SUST SYDN 2030 VIS Clark WW, 2010, SUSTAINABLE COMMUNITIES, P1, DOI 10.1007/978-1-4419-0219-1_1 Colding J, 2007, LANDSCAPE URBAN PLAN, V81, P46, DOI 10.1016/j.landurbplan.2006.10.016 Comission-of-the-European-Communities, 2008, DEM CHALL EUR REG Connelly S., 2005, SUST COMM RES CIT TH, P262 Costanza Robert, 2000, ECOLOGY SOC, V4 Deller Steven, 2009, RES EC IMPACT COOPER Devane T., 2007, CHANGE HDB DEFINITE, P434 Eickhoff P., 2007, CHANGE HDB DEFINITE, P27 Ernstson H, 2010, AMBIO, V39, P531, DOI 10.1007/s13280-010-0081-9 Ferguson BC, 2013, LANDSCAPE URBAN PLAN, V117, P32, DOI 10.1016/j.landurbplan.2013.04.016 Fernandez J., 2013, SUSTAINABLE URBAN ME Fischer J, 2012, FRONT ECOL ENVIRON, V10, P153, DOI 10.1890/110079 Fishman R., 1991, URBAN UTOPIAS 21 CEN Folke C, 2010, SUSTAIN SCI, V5, P151, DOI 10.1007/s11625-010-0109-x Frantzeskaki N, 2014, J CLEAN PROD, V65, P406, DOI 10.1016/j.jclepro.2013.09.023 French CA, 2010, COMMUNITY DEV, V41, P223, DOI 10.1080/15575330903446742 Fricker J., 2010, NACHHALTIGKEITSORIEN Gediga G., 2000, ROUGH SET DATA ANAL Gibson R. B., 2001, THESIS U BRIT COLUMB Gibson R.B., 2006, IMPACT ASSESS PROJ A, V24, P170, DOI DOI 10.3152/147154606781765147 Girardet H., 2014, CREATING REGENERATIV Grimm NB, 2008, SCIENCE, V319, P756, DOI 10.1126/science.1150195 Gutzmer A., 2014, ROUT RES PLAN URB Hammer JM, 2010, COMMUNITY DEV, V41, P209, DOI 10.1080/15575330903450264 Helling A, 1998, J AM PLANN ASSOC, V64, P335, DOI 10.1080/01944369808975990 ICLEI, SUST CIT NETW Irvine KN, 2010, FUTURE CITY, V2, P215, DOI 10.1007/978-1-4020-8647-2_10 Iwaniec D, 2014, PLAN PRACT RES, V29, P543, DOI 10.1080/02697459.2014.977004 Iwaniec DM, 2014, SUSTAINABILITY-BASEL, V6, P4452, DOI 10.3390/su6074452 JACOBS J., 1961, DEATH LIFE GREAT AM Jenks M, 2010, FUTURE CITY, V2, P1 John B., 2014, OPEN CITIZENSHIP, V5, P60 Jungk R., 1987, FUTURES WORKSHOPS CR Kaplan R.S., 2008, HARVARD BUS REV, P1 Kennedy C, 2007, J IND ECOL, V11, P43, DOI 10.1162/jie.2007.1107 Krawczyk E, 2006, FENNIA, V184, P75 Lachapelle P, 2010, COMMUNITY DEV, V41, P176, DOI 10.1080/15575330903444069 Lang D. J., 2013, I SOCIAL INNOVATION, P394 lEA (International Energy Agency, 2008, WORLD EN OUTL EX SUM Lehmann S., 2010, SAPIENS, V3 Leichenko R, 2011, CURR OPIN ENV SUST, V3, P164, DOI 10.1016/j.cosust.2010.12.014 Lennertz B., 2007, CHANGE HDB DEFINITE, P300 Ling C, 2009, ENVIRON MANAGE, V44, P228, DOI 10.1007/s00267-009-9315-7 LYNCH K., 1960, IMAGE CITY Mackrael K., 2008, NATURAL STEP CASE ST Mathie A, 1997, EVAL PROGRAM PLANN, V20, P279, DOI 10.1016/S0149-7189(97)00006-2 McCunn LJ, 2014, CITIES, V41, P20, DOI 10.1016/j.cities.2014.04.008 McGranahan G, 2005, MILLENIUM ECOSYSTEM, P797 McLain R, 2013, HUM ECOL, V41, P651, DOI 10.1007/s10745-013-9573-0 Minowitz A., 2012, VISIONING URBAN PLAN Moss ML, 2010, COMMUNITY DEV, V41, P240, DOI 10.1080/15575330903477309 NEWMAN P., 2009, RESILIENT CITIES RES, P166 Newman P, 2008, CITIES SUSTAINABLE E, P284 Nijkamp P, 2002, URBAN STUD, V39, P1865, DOI 10.1080/0042098022000002993 Olson S., 2000, CANADIAN CITIES TRAN Opschoor H, 2011, INT J SUST DEV WORLD, V18, P190, DOI 10.1080/13504509.2011.570800 PAWLAK Z, 1994, EUR J OPER RES, V72, P443, DOI 10.1016/0377-2217(94)90415-4 Pawlak Z, 1997, EUR J OPER RES, V99, P48, DOI 10.1016/S0377-2217(96)00382-7 Quinn Patton M., 2002, QUALITATIVE RES EVAL Ramnero A.-M., 2005, GOTEBORG 2050 WORKIN Redman CL, 2014, ECOL SOC, V19, DOI 10.5751/ES-06390-190237 Resilience Alliance, 2010, ASS REL SOC EC SYST Rockstrom J, 2009, NATURE, P461 Rowe G, 2004, SCI TECHNOL HUM VAL, V29, P512, DOI 10.1177/0162243903259197 Scholz R. W., 2002, EMBEDDED CASE STUDY Schreier M., 2010, HDB QUALITATIVE FORS, P238, DOI [10.1007/978-3-531-92052-8, DOI 10.1007/978-3-531-92052-8] Shipley R, 2002, ENVIRON PLANN A, V34, P7, DOI 10.1068/a3461 Shipley R., 2004, PLANNING PRACTICE RE, V19, P195, DOI DOI 10.1080/0269745042000284412 Shuman M., 2009, BERKSHIRE ENCY SUSTA, P315 Smith A, 2014, J CLEAN PROD, V63, P114, DOI 10.1016/j.jclepro.2012.12.025 Smith R, 2012, ENVIRON PLANN C, V30, P429, DOI 10.1068/c10158 Stadt Ingolstadt, 2002, VIS ING LEITB LOK AG Stauffacher M, 2008, SYST PRACT ACT RES, V21, P409, DOI 10.1007/s11213-008-9107-7 Stedman RC, 2003, SOC NATUR RESOUR, V16, P671, DOI 10.1080/08941920390217627 Stevenson T, 2002, FUTURES, V34, P735, DOI 10.1016/S0016-3287(02)00017-4 Swilling M., 2011, GROWING CREENER CITI The Natural Step, 2008, NAT STEP CAS STUD Town of Canmore, 2006, MIN FUT VIS CANM FIN UN-Habitat, 2010, PLANN SUST CIT UN HA Uyesugi JL, 2005, INT PLAN STUD, V10, P305, DOI 10.1080/13563470500378895 VisionPDX, 2007, PORTL 2030 VIS FUT Walker Ryan, 2010, CANADIAN CITIES TRAN Walter AI, 2007, TRANSPORTATION, V34, P195, DOI 10.1007/s11116-006-9000-0 Weisbord M., 2008, CHANGE HDB DEFINITE, P316 Weisz H, 2010, CURR OPIN SUST, V2, P185, DOI 10.1016/j.cosust.2010.05.010 Wiek A, 2006, FUTURES, V38, P740, DOI 10.1016/j.futures.2005.12.003 Wiek A, 2012, SUSTAIN SCI, V7, P1, DOI 10.1007/s11625-011-0154-0 Williams K, 2010, FUTURE CITY, V2, P183, DOI 10.1007/978-1-4020-8647-2_9 Wissenschaftlicher Beirat der Bundesregierung Globale Umweltveranderungen (WBGU), 2011, WELT WAND GES GROSS NR 102 TC 11 Z9 11 U1 2 U2 54 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-2751 EI 1873-6084 J9 CITIES JI Cities PD NOV PY 2015 VL 48 BP 86 EP 98 DI 10.1016/j.cities.2015.06.001 PG 13 WC Urban Studies SC Urban Studies GA CS5SF UT WOS:000362137600009 DA 2019-04-09 ER PT J AU Bush, SR Mol, APJ AF Bush, Simon R. Mol, Arthur P. J. TI Governing in a placeless environment: Sustainability and fish aggregating devices SO ENVIRONMENTAL SCIENCE & POLICY LA English DT Article DE Fisheries; Governance; Tuna; Pacific Ocean; Globalization; Value chains; Networks and flows ID CENTRAL PACIFIC-OCEAN; TUNA FISHERIES; INDIAN-OCEAN; ECOLOGICAL TRAP; FADS; MANAGEMENT; WESTERN; HYPOTHESIS; KNOWLEDGE; BEHAVIOR AB Sustainability governance views 'place' as either a central concept and phenomenon to counter homogenising globalisation, or as an irrelevant concept for understanding ostensibly 'placeless' global environments such as oceans. Based on a review of global tuna fisheries in placeless oceans, we illustrate the importance of place in governing the sustainable use of fish aggregating devices (FADs); floating objects under which tuna and other fish aggregate, enabling efficient purse seine fishing practices. These FADs are places that connect global tuna flows with national and global capital, information and regulatory networks. We argue that addressing sustainability challenges in purse seine tuna fisheries means governing FADs as places, by recognising and altering the networked relations that structure global flows of capital, information, regulation, and trade. We do this by bringing in 'place' to our analysis, thereby providing a new perspective on the governance of marine sustainability and an alternative to the homogenising regional or global governance regimes. In doing so we also challenge habitually localised, sense-making and sedentarist connotations of place-based sustainability governance, and instead call for greater theorisation of globally networked places in otherwise placeless environments. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Bush, Simon R.; Mol, Arthur P. J.] Wageningen Univ, Environm Policy Grp, NL-6700 AP Wageningen, Netherlands. RP Mol, APJ (reprint author), Wageningen Univ, Environm Policy Grp, NL-6700 AP Wageningen, Netherlands. EM arthur.mol@wur.nl RI Dey, Kamalesh/E-6568-2017 OI Bush, Simon/0000-0002-6689-2246 FU INREF FX We would like to thank the two reviewers for the insightful comments. We would also like to thank Paul van Zwieten and Megan Bailey for their comments on earlier drafts. Research for this paper was supported by the INREF funded BESTTuna programme at Wageningen University. CR Adams T., 2012, SPC FISH NEWSL, V137, P36 Ardron JA, 2014, MAR POLICY, V49, P98, DOI 10.1016/j.marpol.2014.02.011 Bailey M, 2013, STRATEG BEHAV ENVIRO, V3, P31, DOI 10.1561/102.00000023 Bailey M, 2012, OCEAN COAST MANAGE, V63, P30, DOI 10.1016/j.ocecoaman.2012.03.010 Baske A., 2012, ESTIMATING USE DIRFT Beverly S., 2012, ANCHORED FISH AGGREG Bromhead D., 2003, REV IMPACTS FISH AGG Campling L, 2012, J AGRAR CHANGE, V12, P252, DOI 10.1111/j.1471-0366.2011.00354.x Campling L, 2012, J AGRAR CHANGE, V12, P177, DOI 10.1111/j.1471-0366.2011.00356.x Castells M., 1996, INFORM AGE EC SOC CU, V1 Castro JJ, 2001, REV FISH BIOL FISHER, V11, P255, DOI 10.1023/A:1020302414472 Cullis-Suzuki S, 2010, MAR POLICY, V34, P1036, DOI 10.1016/j.marpol.2010.03.002 Dagorn L, 2007, MAR BIOL, V151, P595, DOI 10.1007/s00227-006-0511-1 Dagorn L, 2013, FISH OCEANOGR, V22, P147, DOI 10.1111/fog.12014 Dagorn L, 2013, FISH FISH, V14, P391, DOI 10.1111/j.1467-2979.2012.00478.x Dagorn L, 2010, FISH RES, V106, P60, DOI 10.1016/j.fishres.2010.07.002 Davies TK, 2014, MAR POLICY, V45, P163, DOI 10.1016/j.marpol.2013.12.014 Davis A, 1996, SOC NATUR RESOUR, V9, P251, DOI 10.1080/08941929609380970 Dempster T, 2004, REV FISH BIOL FISHER, V14, P21, DOI 10.1007/s11160-004-3151-x Eisenhardt KM, 2007, ACAD MANAGE J, V50, P25, DOI 10.5465/AMJ.2007.24160888 European Parliament, 2014, US FADS TUN FISH FAO, 2014, ATL TUN BILLF CATCH Filmalter JD, 2011, B MAR SCI, V87, P325, DOI 10.5343/bms.2010.1057 Flyvbjerg B, 2006, QUAL INQ, V12, P219, DOI 10.1177/1077800405284363 Fonteneau A, 2000, AQUAT LIVING RESOUR, V13, P253, DOI 10.1016/S0990-7440(00)01054-8 FONTENEAU A, 2000, PECHE THONIERE DISPO, V28, P15 Gilman EL, 2011, MAR POLICY, V35, P590, DOI 10.1016/j.marpol.2011.01.021 Hall M, 2013, BYCATCH NONTUNA CATC Hall MA, 1998, REV FISH BIOL FISHER, V8, P1, DOI 10.1023/A:1008854816580 Hallier JP, 2008, MAR ECOL PROG SER, V353, P255, DOI 10.3354/meps07180 Havice E, 2013, MAR POLICY, V42, P259, DOI 10.1016/j.marpol.2013.03.003 Hulme M, 2010, GLOBAL ENVIRON CHANG, V20, P558, DOI 10.1016/j.gloenvcha.2010.07.005 ISSF, 2013, 201304B ISSF Jaquemet S, 2011, FISH RES, V107, P283, DOI 10.1016/j.fishres.2010.11.011 Kakuma S., 2000, SYNTHESIS MOORED FAD Kumoro L., 2002, 176 M STAND COMM TUN Lane M, 2005, J ENVIRON POL PLAN, V7, P141, DOI [10.1080/15239080500338671, DOI 10.1080/15239080500338671] Lehodey P, 2006, J CLIMATE, V19, P5009, DOI 10.1175/JCLI3898.1 Leroy B, 2013, AQUAT LIVING RESOUR, V26, P49, DOI 10.1051/alr/2012033 Lovbrand E, 2009, GLOBAL ENVIRON CHANG, V19, P7, DOI 10.1016/j.gloenvcha.2008.10.002 Matsumoto T, 2013, FISHERIES SCI, V79, P39, DOI 10.1007/s12562-012-0571-8 Miller A., 2014, GOVERNANCE INNOVATIO Miyake MP, 2010, RECENT DEV TUNA IND MOL A, 1994, SOC STUD SCI, V24, P641, DOI 10.1177/030631279402400402 Mol APJ, 2007, SOCIOL RURALIS, V47, P297, DOI 10.1111/j.1467-9523.2007.00446.x Morales-Nin B., 2000, OVERVIEW FADS FISHER Murdoch J, 2006, POSTSTRUCTURALIST GE Oostenbrugge JAE, 2001, CAN J FISH AQUAT SCI, V58, P1683, DOI 10.1139/cjfas-58-8-1683 Pollnac Richard B., 2007, P229 POLLOCK R, 2004, ENVIRONMENTS, V32, P27 Shrivastava P, 2013, ORGAN ENVIRON, V26, P83, DOI 10.1177/1086026612475068 Sibert J, 2003, MAR POLICY, V27, P87, DOI 10.1016/S0308-597X(02)00057-X Spaargaren Gert, 2006, GOVERNING ENV FLOWS, P39 Sunoko R, 2014, MAR POLICY, V43, P174, DOI 10.1016/j.marpol.2013.05.011 Taquet M, 2013, AQUAT LIVING RESOUR, V26, P25, DOI 10.1051/alr/2013043 Urry J., 2003, POLITY WCPFC, 2009, 5 REG SESS TECHN COM Williams P., 2011, WCPFC SCI COMM 7 REG, P9 Wiskerke JSC, 2009, INT PLAN STUD, V14, P369, DOI 10.1080/13563471003642803 Yin R. K., 2014, CASE STUDY RES DESIG NR 60 TC 2 Z9 2 U1 2 U2 21 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 1462-9011 EI 1873-6416 J9 ENVIRON SCI POLICY JI Environ. Sci. Policy PD NOV PY 2015 VL 53 SI SI BP 27 EP 37 DI 10.1016/j.envsci.2014.07.016 PN A PG 11 WC Environmental Sciences SC Environmental Sciences & Ecology GA CR3SE UT WOS:000361252600004 DA 2019-04-09 ER PT J AU Poley, JD Igboeli, OO Fast, MD AF Poley, Jordan D. Igboeli, Okechukwu O. Fast, Mark D. TI Towards a consensus: Multiple experiments provide evidence for constitutive expression differences among sexes and populations of sea lice (Lepeophtheirus salmonis) related to emamectin benzoate resistance SO AQUACULTURE LA English DT Article DE Salmon aquaculture; Sea lice; Drug resistance; Emamectin benzoate (EMB); Acetylcholine receptors ID NICOTINIC ACETYLCHOLINE-RECEPTOR; FARMED ATLANTIC SALMON; ORAL TREATMENT; SALAR L.; P-GLYCOPROTEIN; INFESTATIONS; AQUACULTURE; EFFICACY; SLICE(R); KROYER AB Sea lice (Lepeophtheirus salmonis) are ectoparasitic copepods that impose a heavy financial burden on the salmon aquaculture industry. A parasiticide, emamectin benzoate (EMB; trade name SLICE (R)), waswidely used to control sea lice before EMB resistant strains of lice emerged. Several genetic mechanisms are likely responsible for EMB resistance however these are not yet fully understood. Resistance is further complicated by sex differences in EMB tolerance with males often showing better survival upon EMB exposure compared to females. Here, candidate EMB-resistance genes were used to explore differences between sex, population, and exposure to EMB using two in vitro bioassays and an in vivo experiment. Two acetylcholine receptor subunits (nAChR alpha 3 and nAChR alpha 7) showed opposite expression profiles across the assays, with male and EMB-resistant lice showing significant overexpression of nAChR alpha 7 and downregulation of nAChR alpha 3 compared to females and EMB-sensitive lice, respectively. Furthermore, a novel gene candidate LR9 showed induced expression upon EMB exposure with the highest expressing group being EMB-resistant males. An ABC transporter, pgp, also showed highest expression in EMB-resistant males but this finding was not consistent across all experiments. Other gene candidates like CYP18A and peroxinectin did not show similar expression profiles to work completed on other populations or species of sea lice. These data have provided a consensus with other transcriptomic studies showing that neuronal acetylcholine receptor subunits are differentially regulated between sexes and populations of sea lice. This unique expression profile, alongside analysis of other EMB resistance genes, provides a detailed snapshot of mechanisms responsible for resistance in sea lice. Statement of relevance: Sea lice are a major threat to salmon aquaculture and its' sustainability. With the advent of drug resistance, this problem has only become more troubling. The mechanisms of resistance are largely unknown, with a requirement on consensus findings across meta-populations of lice due to varying levels of resistance within them. This project shows consensus findings across multiple experiments for both previously explored targets as well as new, potential resistance markers. (C) 2015 Elsevier B.V. All rights reserved. C1 [Poley, Jordan D.; Igboeli, Okechukwu O.; Fast, Mark D.] Univ Prince Edward Isl, Atlantic Vet Coll, Charlottetown, PE C1A 4P3, Canada. RP Fast, MD (reprint author), Univ Prince Edward Isl, Atlantic Vet Coll, 550 Univ Ave, Charlottetown, PE C1A 4P3, Canada. EM jpoley@upei.ca; oigboeli@upei.ca; mfast@upei.ca FU Atlantic Canada Opportunities Agency (ACOA-AIF) [615416]; NSERC PGSD 3 fellowship [615351]; MITACS Accelerate fellowship FX This work was funded by Atlantic Canada Opportunities Agency (ACOA-AIF) (615416) and Novartis - Elanco Fish Health Research chair (615351) with stipend support (JDP) from NSERC PGSD 3 and MITACS Accelerate fellowships. The authors would like to thank Dr. Shona Whyte, Dr. Ben Sutherland, and Dr. Laura Braden for their comments on the early drafts of the manuscript. CR Aaen SM, 2015, TRENDS PARASITOL, V31, P72, DOI 10.1016/j.pt.2014.12.006 ARENA JP, 1995, J PARASITOL, V81, P286, DOI 10.2307/3283936 Atlantic Canada Fish Farmers Association (ACFFA), 2013, REP SEA LIC MAN NEW Burridge L, 2010, AQUACULTURE, V306, P7, DOI 10.1016/j.aquaculture.2010.05.020 Carmichael S. N., 2013, BMC GENOMICS, V14, P1 CHOMCZYNSKI P, 1995, BIOTECHNIQUES, V19, P942 CHOMCZYNSKI P, 1993, BIOTECHNIQUES, V15, P532 Coors A, 2008, OIKOS, V117, P1840, DOI 10.1111/j.1600-0706.2008.17028.x Cornejo I., 2014, PLOS PATHOG, V10, P1 Denholm I, 2002, PEST MANAG SCI, V58, P528, DOI 10.1002/ps.482 Espedal PG, 2013, AQUACULTURE, V416, P111, DOI 10.1016/j.aquaculture.2013.09.001 Frost P, 2003, VET PARASITOL, V118, P169, DOI 10.1016/j.vetpar.2003.09.020 Guo HZ, 2011, FISH SHELLFISH IMMUN, V30, P515, DOI 10.1016/j.fsi.2010.11.027 Hellemans J, 2007, GENOME BIOL, V8, DOI 10.1186/gb-2007-8-2-r19 Heumann J, 2012, COMP BIOCHEM PHYS C, V155, P198, DOI 10.1016/j.cbpc.2011.08.004 Horsberg TE, 2012, CURR PHARM BIOTECHNO, V13, P1095 Igboeli O., 2013, PEST MANAG SCI, V70, P905 Igboeli OO, 2012, AQUACULTURE, V344, P40, DOI 10.1016/j.aquaculture.2012.03.026 Jones PG, 2013, J FISH DIS, V36, P209, DOI 10.1111/jfd.12022 Krause RM, 1998, MOL PHARMACOL, V53, P283 Lespine A, 2011, INT J PARASITOL-DRUG, V2, P58 Nunez-Acuna G, 2015, GENE, V557, P98, DOI 10.1016/j.gene.2014.12.006 Pohanka M, 2012, INT J MOL SCI, V13, P2219, DOI 10.3390/ijms13022219 R Development Core Team, 2011, R LANG ENV STAT COMP Ramstad A, 2002, DIS AQUAT ORGAN, V50, P29, DOI 10.3354/dao050029 Rao VTS, 2009, MOL BIOCHEM PARASIT, V166, P54, DOI 10.1016/j.molbiopara.2009.02.011 Saksida SM, 2013, J FISH DIS, V36, P515, DOI 10.1111/jfd.12018 Sevatdal S, 2005, J VET PHARMACOL THER, V28, P101, DOI 10.1111/j.1365-2885.2004.00629.x SHOOP WL, 1995, VET PARASITOL, V59, P139, DOI 10.1016/0304-4017(94)00743-V Stone J, 1999, J FISH DIS, V22, P261, DOI 10.1046/j.1365-2761.1999.00176.x Stone J, 2002, AQUACULTURE, V210, P21, DOI 10.1016/S0044-8486(01)00822-5 Stone J, 2000, J FISH DIS, V23, P185, DOI 10.1046/j.1365-2761.2000.00233.x Sutherland B. J. G., 2014, EVOL APPL, V8, P133 Sutherland BJG, 2012, MOL ECOL, V21, P6000, DOI 10.1111/mec.12072 Whyte SK, 2013, J FISH DIS, V36, P283, DOI 10.1111/jfd.12055 Zucchetti I, 2009, IMMUNOGENETICS, V61, P463, DOI 10.1007/s00251-009-0373-z NR 36 TC 3 Z9 3 U1 4 U2 35 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0044-8486 EI 1873-5622 J9 AQUACULTURE JI Aquaculture PD NOV 1 PY 2015 VL 448 BP 445 EP 450 DI 10.1016/j.aquaculture.2015.06.026 PG 6 WC Fisheries; Marine & Freshwater Biology SC Fisheries; Marine & Freshwater Biology GA CP9BP UT WOS:000360189000057 DA 2019-04-09 ER PT J AU Renard, D Rhemtulla, JM Bennett, EM AF Renard, Delphine Rhemtulla, Jeanine M. Bennett, Elena M. TI Historical dynamics in ecosystem service bundles SO PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA LA English DT Article DE ecosystem services; historical ecology; bundles; ecosystem service interactions; spatiotemporal analysis ID PAST LAND-USE; TRADE-OFFS; TIME; BIODIVERSITY; CONSERVATION; ECOLOGY; LANDSCAPE; DIVERSITY; LEGACIES; SCALES AB Managing multiple ecosystem services (ES), including addressing trade-offs between services and preventing ecological surprises, is among the most pressing areas for sustainability research. These challenges require ES research to go beyond the currently common approach of snapshot studies limited to one or two services at a single point in time. We used a spatiotemporal approach to examine changes in nine ES and their relationships from 1971 to 2006 across 131 municipalities in a mixed-use landscape in Quebec, Canada. We show how an approach that incorporates time and space can improve our understanding of ES dynamics. We found an increase in the provision of most services through time; however, provision of ES was not uniformly enhanced at all locations. Instead, each municipality specialized in providing a bundle (set of positively correlated ES) dominated by just a few services. The trajectory of bundle formation was related to changes in agricultural policy and global trends; local biophysical and socioeconomic characteristics explained the bundles' increasing spatial clustering. Relationships between services varied through time, with some provisioning and cultural services shifting from a trade-off or no relationship in 1971 to an apparent synergistic relationship by 2006. By implementing a spatiotemporal perspective on multiple services, we provide clear evidence of the dynamic nature of ES interactions and contribute to identifying processes and drivers behind these changing relationships. Our study raises questions about using snapshots of ES provision at a single point in time to build our understanding of ES relationships in complex and dynamic social-ecological systems. C1 [Renard, Delphine] McGill Univ, Dept Geog & Nat Resource Sci, Montreal, PQ H3A 2T5, Canada. [Rhemtulla, Jeanine M.] Univ British Columbia, Dept Forest & Conservat Sci, Vancouver, BC V6T 1Z4, Canada. [Bennett, Elena M.] McGill Univ, Dept Nat Resource Sci, Ste Anne De Bellevue, PQ H9X 3V9, Canada. [Bennett, Elena M.] McGill Univ, McGill Sch Environm, Ste Anne De Bellevue, PQ H9X 3V9, Canada. RP Renard, D (reprint author), McGill Univ, Dept Geog & Nat Resource Sci, Montreal, PQ H3A 2T5, Canada. EM delphinerenard@hotmail.fr OI Renard, Delphine/0000-0002-3228-4269 FU Natural Sciences and Engineering Research Council of Canada (NSERC); Trottier Institute for Science and Public Policy (TISPP) FX We thank C. Albert (University Aix-Marseille, UMR CNRS 7263/IRD 237), D. B. McKey (University Montpellier II, UMR CNRS 5175, Institut Universitaire de France), and two anonymous reviewers for their helpful comments; and Emily Clark (McGill University) for her language edits. This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) in the form of a Strategic Projects grant (to E.M.B. and J.M.R.) and Discovery Grants (to E.M.B. and J.M.R.), as well as funds provided by the Trottier Institute for Science and Public Policy (TISPP). CR Adler PB, 2005, ECOLOGY, V86, P2032, DOI 10.1890/05-0067 Adler PB, 2003, ECOL LETT, V6, P749, DOI 10.1046/j.1461-0248.2003.00497.x Andersen T, 2009, TRENDS ECOL EVOL, V24, P49, DOI 10.1016/j.tree.2008.07.014 Bennett EM, 2009, ECOL LETT, V12, P1394, DOI 10.1111/j.1461-0248.2009.01387.x Biggs R, 2009, P NATL ACAD SCI USA, V106, P826, DOI 10.1073/pnas.0811729106 Borcard D, 2011, USE R, P1, DOI 10.1007/978-1-4419-7976-6 Bowman MS, 2013, ECOL SOC, V18, DOI 10.5751/ES-05574-180133 Carpenter SR, 2009, P NATL ACAD SCI USA, V106, P1305, DOI 10.1073/pnas.0808772106 Chan KMA, 2006, PLOS BIOL, V4, P2138, DOI 10.1371/journal.pbio.0040379 Chavas JP, 2001, HDB AGR EC Costanza R., 2006, VALUE NEW JERSEYS EC Cumming GS, 2005, ECOSYSTEMS, V8, P143, DOI 10.1007/s10021-004-0075-1 Domon G, 1993, LANDSCAPE URBAN PLAN, V25, P75 Dupouey JL, 2002, ECOLOGY, V83, P2978, DOI 10.1890/0012-9658(2002)083[2978:IIOPLU]2.0.CO;2 Egan D., 2001, HIST ECOLOGY HDB RES Egoh BN, 2011, J ENVIRON MANAGE, V92, P1642, DOI 10.1016/j.jenvman.2011.01.019 ESRI, 2011, ARCGIS DESKT REL 10 Foley JA, 2005, SCIENCE, V309, P570, DOI 10.1126/science.1111772 Foster D, 2003, BIOSCIENCE, V53, P77, DOI 10.1641/0006-3568(2003)053[0077:TIOLUL]2.0.CO;2 Francis Robert C., 1994, Fisheries Oceanography, V3, P279, DOI 10.1111/j.1365-2419.1994.tb00105.x Fraser D.G., 2005, ANIMAL WELFARE INTEN Fraterrigo JM, 2005, ECOL MONOGR, V75, P215, DOI 10.1890/03-0475 Haines-Young R, 2012, ECOL INDIC, V21, P39, DOI 10.1016/j.ecolind.2011.09.004 Hendrickson J, 2008, RENEW AGR FOOD SYST, V23, P314, DOI 10.1017/S1742170507001998 Hermy M, 2007, ECOL RES, V22, P361, DOI 10.1007/s11284-007-0354-3 Honaker J, 2010, AM J POLIT SCI, V54, P561, DOI 10.1111/j.1540-5907.2010.00447.x Jackson ST, 2009, SCIENCE, V325, P567, DOI 10.1126/science.1172977 Jiang MK, 2013, J APPL ECOL, V50, P841, DOI 10.1111/1365-2664.12093 Jost L, 2006, OIKOS, V113, P363, DOI 10.1111/j.2006.0030-1299.14714.x Lautenbach S, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0035954 Legendre P, 2010, ECOLOGY, V91, P262, DOI 10.1890/09-0199.1 MacDonald GK, 2009, ECOSYSTEMS, V12, P621, DOI 10.1007/s10021-009-9246-4 Martin-Lopez B, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0038970 Matson PA, 1997, SCIENCE, V277, P504, DOI 10.1126/science.277.5325.504 Mckey D, 2010, P NATL ACAD SCI USA, V107, P7823, DOI 10.1073/pnas.0908925107 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY MORAN PAP, 1950, BIOMETRIKA, V37, P17, DOI 10.1093/biomet/37.1-2.17 Nelson E, 2009, FRONT ECOL ENVIRON, V7, P4, DOI 10.1890/080023 Nicholson E, 2009, J APPL ECOL, V46, P1139, DOI 10.1111/j.1365-2664.2009.01716.x Pan Ying, 2013, Ecosystem Services, V5, P4 Queiroz C, 2015, AMBIO, V44, pS89, DOI 10.1007/s13280-014-0601-0 *R DEV COR, 2008, R LANG ENV STAT COMP Raudsepp-Hearne C, 2010, P NATL ACAD SCI USA, V107, P5242, DOI 10.1073/pnas.0907284107 Raudsepp-Hearne C, 2010, BIOSCIENCE, V60, P576, DOI 10.1525/bio.2010.60.8.4 Rhemtulla JM, 2007, LANDSCAPE ECOL, V22, P1, DOI 10.1007/s10980-007-9163-x Rodriguez JP, 2006, ECOL SOC, V11 Ruiz J, 2009, LANDSCAPE ECOL, V24, P419, DOI 10.1007/s10980-009-9321-4 Stoate C, 2009, J ENVIRON MANAGE, V91, P22, DOI 10.1016/j.jenvman.2009.07.005 Swetnam TW, 1999, ECOL APPL, V9, P1189, DOI 10.1890/1051-0761(1999)009[1189:AHEUTP]2.0.CO;2 Szabo P, 2011, CONSERV BIOL, V25, P680, DOI 10.1111/j.1523-1739.2011.01710.x TILMAN D, 1994, NATURE, V371, P65, DOI 10.1038/371065a0 Turner WR, 2007, BIOSCIENCE, V57, P868, DOI 10.1641/B571009 Williams JW, 2007, FRONT ECOL ENVIRON, V5, P475, DOI 10.1890/070037 NR 53 TC 60 Z9 66 U1 10 U2 94 PU NATL ACAD SCIENCES PI WASHINGTON PA 2101 CONSTITUTION AVE NW, WASHINGTON, DC 20418 USA SN 0027-8424 J9 P NATL ACAD SCI USA JI Proc. Natl. Acad. Sci. U. S. A. PD OCT 27 PY 2015 VL 112 IS 43 BP 13411 EP 13416 DI 10.1073/pnas.1502565112 PG 6 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA CU3WY UT WOS:000363458100076 PM 26460005 OA Green Published, Bronze DA 2019-04-09 ER PT J AU Liu, S Meng, XH Tam, CM AF Liu, Sha Meng, Xianhai Tam, Chiming TI Building information modeling based building design optimization for sustainability SO ENERGY AND BUILDINGS LA English DT Article DE BIM; Sustainable building; Building performance; PSO ID ENVELOPE DESIGN; SHAPE OPTIMIZATION; CONSTRUCTION; ALGORITHMS AB Environmental problems, especially climate change, have become a serious global issue waiting for people to solve. In the construction industry, the concept of sustainable building is developing to reduce greenhouse gas emissions. In this study, a building information modeling (BIM) based building design optimization method is proposed to facilitate designers to optimize their designs and improve buildings' sustainability. A revised particle swarm optimization (PSO) algorithm is applied to search for the trade-off between life cycle costs (LCC) and life cycle carbon emissions (LCCE) of building designs. In order to validate the effectiveness and efficiency of this method, a case study of an office building is conducted in Hong Kong. The result of the case study shows that this method can enlarge the searching space for optimal design solutions and shorten the processing time for optimal design results, which is really helpful for designers to deliver an economic and environmental-friendly design scheme. (C) 2015 Elsevier B.V. All rights reserved. C1 [Liu, Sha] Dalian Univ Technol, Fac Infrastruct Engn, Dept Construct Management, Dalian 116024, Liaoning, Peoples R China. [Meng, Xianhai] Queens Univ Belfast, Sch Planning Architecture & Civil Engn, Belfast, Antrim, North Ireland. [Tam, Chiming] City Univ Hong Kong, Div Bldg Sci & Technol, Hong Kong, Hong Kong, Peoples R China. RP Liu, S (reprint author), Dalian Univ Technol, Fac Infrastruct Engn, Dept Construct Management, Dalian 116024, Liaoning, Peoples R China. EM liusha626@outlook.com; x.meng@qub.ac.uk; bctam@cityu.edu.hk OI TAM, Chi Ming/0000-0002-2402-7449 CR AIA, 2007, INT CONSTR IND [Anonymous], 2013, INDICATORS [Anonymous], 2013, NAT BUILD INF MOD ST Arup, 2013, SUST BUILD DES Autodesk, 2005, BUILD INF MOD SUST D Azhar S., 2011, LEADERSHIP MANAGE EN, V11, P241, DOI DOI 10.1061/(ASCE)LM.1943-5630.0000127 Burger M, 2003, INTERFACE FREE BOUND, V5, P301 Butera FM, 2010, ADV BUILD ENERGY RES, V4, P45, DOI 10.3763/aber.2009.0403 Chen D., 2010, DEV EMBODIED CO2 EMI Cheung CK, 2005, ENERG BUILDINGS, V37, P37, DOI 10.1016/j.enbuild.2004.05.002 Choudhary B., 2003, 8 INT IBPSA C 11 14, P179 CIBSE, 2002, COD LIGHT REC CLP, 2012, 2012 SUST REP DOE, 2000, ADV WALL FRAM BUILD Eberhart R. C., 1998, Evolutionary Programming VII. 7th International Conference, EP98. Proceedings, P611 Electrical andMechanical Services Department (EMSD), 2012, COD PRACT EN EFF BUI Geyer P, 2009, ADV ENG INFORM, V23, P12, DOI 10.1016/j.aei.2008.06.008 Gonzalez MJ, 2006, BUILD ENVIRON, V41, P902, DOI 10.1016/j.buildenv.2005.04.006 GZZJ, 2012, GUANGZH CONSTR PROJ HK-BEAM, 2004, 404 HKBEAM Hu XH, 2003, PROCEEDINGS OF THE 2003 IEEE SWARM INTELLIGENCE SYMPOSIUM (SIS 03), P193, DOI 10.1109/SIS.2003.1202267 JIN N, 2008, THESIS U CALIFORNIA Kats G, 2003, COSTS FINANCIAL BENE Leung A.W.T., 2007, COST MANAGEMENT Leung M. K. H, 2010, CARBON AUDIT TOOLKIT Liu S, 2013, HABITAT INT, V37, P155, DOI 10.1016/j.habitatint.2011.12.012 Magnier L, 2010, BUILD ENVIRON, V45, P739, DOI 10.1016/j.buildenv.2009.08.016 Mardaljevic J., 2000, LIGHTING RES TECHNOL, V32, P111 Marsh A., 2003, BUILD ENERGY SIM USE, V24, P24 Oral GK, 2004, BUILD ENVIRON, V39, P281, DOI 10.1016/S0360-1323(03)00141-0 Park J, 2011, ENERG BUILDINGS, V43, P894, DOI 10.1016/j.enbuild.2010.12.010 Parsopoulos K., 2002, SAC 02 ACM S APPL CO Parsopoulos KE, 2004, PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS, VOLS 1AND 2, P823 Parsopoulos KE, 2004, IEEE T EVOLUT COMPUT, V8, P211, DOI [10.1109/TEVC.2004.826076, 10.1109/tevc.2004.826076] Rapone G, 2012, ENERG BUILDINGS, V45, P189, DOI 10.1016/j.enbuild.2011.11.003 REBITZER G, 2002, COST MANAGEMENT SUPP, P128 Reinhart C, 2006, ENERG BUILDINGS, V38, P824, DOI 10.1016/j.enbuild.2006.03.012 Reinhart CF, 2006, LEUKOS, V3, P7, DOI 10.1582/LEUKOS.2006.03.01.001 RLB, 2012, Q CONSTR COST UPD HO Rogers Z., 2007, VELUX 2 DAYL S BILB Sadafi N, 2011, ENERG BUILDINGS, V43, P887, DOI 10.1016/j.enbuild.2010.12.009 Seyfang G, 2010, ENERG POLICY, V38, P7624, DOI 10.1016/j.enpol.2009.10.027 Sierra M. R., 2006, INT J COMPUTATIONAL, V2, P287 Tam C. M., 2004, International Journal of Project Management, V22, P563, DOI 10.1016/j.ijproman.2004.03.001 Tao R., 2012, THESIS CITY U HONG K Tao R, 2013, AUTOMAT CONSTR, V31, P54, DOI 10.1016/j.autcon.2012.11.040 Tuhus-Dubrow D, 2010, BUILD ENVIRON, V45, P1574, DOI 10.1016/j.buildenv.2010.01.005 Tzempelikos A, 2007, SOL ENERGY, V81, P1088, DOI 10.1016/j.solener.2007.02.006 USGBC, 2006, LEAD EN ENV DES VERS Wang D., 2010, THESIS CITY U HONG K Wang W., 2005, THESIS CONCORDIA U M Wang WM, 2006, ADV ENG INFORM, V20, P363, DOI 10.1016/j.aei.2006.07.001 Wang WM, 2005, BUILD ENVIRON, V40, P1512, DOI 10.1016/j.buildenv.2004.11.017 Wetter M, 2005, ENERG BUILDINGS, V37, P603, DOI 10.1016/j.enbuild.2004.09.005 Wetter M., 2002, GENOPT GENETIC OPTIM Wong KD, 2013, FACILITIES, V31, P138, DOI 10.1108/02632771311299412 Yan J., 2009, J ARCHIT ED I HIGH L, V18, P140 Yu JH, 2008, ENERG BUILDINGS, V40, P1536, DOI 10.1016/j.enbuild.2008.02.020 Yuhui Shi, 1998, Evolutionary Programming VII. 7th International Conference, EP98. Proceedings, P591, DOI 10.1007/BFb0040810 Zitzler E, 2000, EVOL COMPUT, V8, P173, DOI 10.1162/106365600568202 NR 60 TC 35 Z9 36 U1 16 U2 106 PU ELSEVIER SCIENCE SA PI LAUSANNE PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND SN 0378-7788 EI 1872-6178 J9 ENERG BUILDINGS JI Energy Build. PD OCT 15 PY 2015 VL 105 BP 139 EP 153 DI 10.1016/j.enbuild.2015.06.037 PG 15 WC Construction & Building Technology; Energy & Fuels; Engineering, Civil SC Construction & Building Technology; Energy & Fuels; Engineering GA CS5UG UT WOS:000362143200013 DA 2019-04-09 ER PT J AU Martin, L AF Martin, Lawrence TI Incorporating values into sustainability decision-making SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Values; Decision science; Sustainability; Multi-criteria; Phronesis ID SUPPLY CHAIN MANAGEMENT; INFORMATION ANALYSIS; SCIENCE; FUTURE AB This paper explores rigorous methods to transparently incorporate values in sustainability decision-making. Empirical, normative and other decision-making methods are discussed using a conceptual architecture borrowed from the Aristotelian ideas of Episteme, Techne and Phronesis. The application and limits to positivist reasoning for decision-making is explored through discussions of wicked and tame problems (where the introduction of values is discussed), the analytic-deliberative framework (that characterizes most assessment methods), and post normal science. An example examining air quality regulation and enforcement is used to explore concepts. Recognizing the continuum of quantitative to qualitative decision-making calculus, and how to apply it constructively to decision-making is an area of needed inquiry for scientists, policy-makers, consultants and corporate leaders concerned about helping to effect the transition to more sustainable societal patterns. This necessitates researchers and decision makers acknowledge that sustainability preferences are driven by values. This author concludes that decision-making methods that provide a transparent means to value outcomes and to integrate disparate information and perceptions (and values) have been demonstrated to be the most useful in settings with a variety of stakeholders that value different outcomes. Such conditions are typical in natural resource and sustainability problems where trade-offs are often necessary. Published by Elsevier Ltd. C1 Erasmus Univ, Rotterdam, Netherlands. RP Martin, L (reprint author), Erasmus Univ, Rotterdam, Netherlands. EM lmartindc@gmail.com OI Martin, Lawrence/0000-0001-5797-4146 CR Aristotle Browne R.W., 1989, NICOMACHEAN ETHICS A Arsham H, STAT THINKING MANAGE Barton David, 2012, INTEGR ENVIRON ASSES, V8, P3 Berger J. O., 1985, STAT DECISION THEORY Berube Michael, 2011, SCI WARS REDUX Bettencourt LMA, 2011, P NATL ACAD SCI USA, V108, P19540, DOI 10.1073/pnas.1102712108 Brandenburg M, 2014, EUR J OPER RES, V233, P299, DOI 10.1016/j.ejor.2013.09.032 Brewer G.D., 2005, DECISION MAKING ENV Caterino Brian, 2006, MAKING POLITICAL SCI Comte A., 1865, GEN VIEW POSITIVISM Daly H. E., 1994, COMMON GOOD REDIRECT Daly H. E., 1996, GROWTH EC SUSTAINABL, P31 DE GROOT M. H., 1970, OPTIMAL STAT DECISIO DeLaplante K, 2011, HBK PHILOS SCI, V11, P1 Dunne J., 1997, BACK ROUGH GROUND PR Figueira J, 2005, INT SER OPER RES MAN, V78, P1, DOI 10.1007/b100605 Flyvbjerg Bent, 2001, MAKING SOCIAL SCI MA FUNTOWICZ SO, 1991, ECOLOGICAL ECONOMICS : THE SCIENCE AND MANAGEMENT OF SUSTAINABILITY, P137 Greene Ronnie, 2011, COMMUNITY COATED BLA Gregory R., 2012, STRUCTURED DECISION Habermas J, 1971, KNOWLEDGE HUMAN INTE Hausman D. M., 2013, STANFORD ENCY PHILOS Hoomans T., 2012, 12EHC109EF AG HEALTH Hulme Mike, 2007, GUARDIAN Jakeman A. J., 2008, ENV MODELLING SOFTWA Jakeman AJ, 2003, ENVIRON MODELL SOFTW, V18, P491, DOI 10.1016/S1364-8152(03)00024-0 Jardine C., 2003, J TOXICOL ENV HLTH, V6 Kates R. W., 2010, 213 CID Kates RW, 2011, P NATL ACAD SCI USA, V108, P19449, DOI 10.1073/pnas.1116097108 Kates RW, 2001, SCIENCE, V292, P641, DOI 10.1126/science.1059386 Kathryn Herr, 2005, THESIS Keisler Jeffrey M., 2014, Environment Systems & Decisions, V34, P3, DOI 10.1007/s10669-013-9439-4 Kepner Charles, 1965, ROTATIONAL MANAGE SY Kleindorfer P.R., 1993, DECISION SCI INTEGRA Kuhn TS, 1996, STRUCTURE SCI REVOLU Lemons John, 1996, SCI UNCERTAINTY ENV, P99 Linkov I, 2008, REAL TIME DELIBERATI Linkov I., 2012, MULTICRITERIA DECISI Lodahl Janice, 1972, AM SOCIOL REV, V37 Luce Robert Duncan, 1957, GAMES DECISIONS INTR Martin Brian, 1995, HDB SCI TECHNOLOGY S, P506, DOI DOI 10.4135/9781412990127.N22 Millennium Ecosystem Assessment (MEA), 2005, EC HUM WELLB SYNTH MILLER A, 1993, ENVIRON MANAGE, V17, P563, DOI 10.1007/BF02393719 Neumayer E, 2013, WEAK VERSUS STRONG SUSTAINABILITY: EXPLORING THE LIMITS OF TWO OPPOSING PARADIGMS, 4TH EDITION, P1, DOI 10.4337/9781781007082 Norton B., 2005, SUSTAINABILITY PHILO [NRC Committee on incorporating Sustainability in the US EPA National Research Council], 2011, SUST US EPA NRC (National Research Council), 2009, SCI DEC ADV RISK ASS, P65 Peterson M., 2009, INTRO DECISION THEOR Popper K. R., 1963, CONJECTURES REFUTATI Reason P., 2001, HDB ACTION RES RIP A, 1986, KNOWLEDGE, V8, P349, DOI 10.1177/107554708600800216 RITTEL HWJ, 1973, POLICY SCI, V4, P155, DOI 10.1007/BF01405730 Ross D., 1992, ORIGINS AM SOCIAL SC Savage L. J., 1954, FDN STAT Schram S. F., 2006, MAKING POLITICAL SCI Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 Seuring S, 2013, DECIS SUPPORT SYST, V54, P1513, DOI 10.1016/j.dss.2012.05.053 Swart RJ, 2004, GLOBAL ENVIRON CHANG, V14, P137, DOI 10.1016/j.gloenvcha.2003.10.002 Toulmin Steven, 2001, RETURN REASON U. S. Environmental Protection Agency, 2010, EPA452R10005 U.S. EPA, 2009, EPA600R08139F U.S. EPA, 2014, MEN CONTR MEAS U.S. EPA, 2013, EPAS SUST AN ASS TOO US EPA, 2014, NAT AMB AIR QUAL STA von Neumann J., 1944, THEORY GAMES EC BEHA Von Winterfeldt D., 1986, DECISION ANAL BEHAV Yo Charles, 2011, PRIMER RISK ANAL DEC Yo Charles, 2011, PRINCIPLES RISK ANAL Yokota F, 2004, RISK ANAL, V24, P635, DOI 10.1111/j.0272-4332.2004.00464.x Ziegler R., 2011, SUSTAINABILITY SCI P, V7, P31 NR 70 TC 10 Z9 10 U1 3 U2 39 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD OCT 15 PY 2015 VL 105 BP 146 EP 156 DI 10.1016/j.jclepro.2015.04.014 PG 11 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA CP5XR UT WOS:000359959200012 DA 2019-04-09 ER PT J AU Lam, JSL Lai, KH AF Lam, Jasmine Siu Lee Lai, Kee-hung TI Developing environmental sustainability by ANP-QFD approach: the case of shipping operations SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Sustainability; Environmental performance; Shipping; Analytical network process (ANP); Quality function deployment (QFD); Customer cooperation ID QUALITY FUNCTION DEPLOYMENT; ANALYTIC NETWORK PROCESS; FIRM PERFORMANCE; PORT; EMISSIONS; MANAGEMENT; LOGISTICS; INDUSTRY; DESIGN; ISSUES AB As a key trade facilitator, the impact of shipping on the global economy and societies cannot be underestimated. However, there are increasing trends of carbon emission caused by the shipping industry and the related cargo flow activities. As such, the adoption of green shipping practices (GSP) is increasingly popularized by shipping companies. This study aims to develop a decision-support model with systematic metrics for shipping companies to attain environmental sustainability in their operations. An integrated analytical approach which combines Analytical Network Process (ANP) with Quality Function Deployment (QED) is proposed to serve this purpose. A case study of an international tanker shipping company is used to demonstrate the application of this approach to enhance eco-efficiency. The case results show how the ANP-QFD model can be deployed to understand customers' expectation for environmental management and develop operational measures for shipping companies to achieve environmental and market-oriented outcomes. Accordingly, this study develops the concept of Customer Cooperation Programme for Sustainability in the shipping management context. From the practical standpoint, shipping firms that emphasize sustainability as a competitive priority will benefit by communicating sustainability efforts to better serve their customers, particularly those keen on environmental preservation. The ANP-QFD approach is an integrative method helpful for shipping managers to incorporate the 'voice' of customers for greening into their decision-making and operations processes. The decision-support tool is useful for shipping companies to meet customer requirements for environmental performance and thus progress towards achieving more sustainable performance outcomes. (C) 2014 Elsevier Ltd. All rights reserved. C1 [Lam, Jasmine Siu Lee] Nanyang Technol Univ, Sch Civil & Environm Engn, Singapore 639798, Singapore. [Lai, Kee-hung] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Hong Kong, Peoples R China. RP Lam, JSL (reprint author), Nanyang Technol Univ, Sch Civil & Environm Engn, Block N1,50 Nanyang Ave, Singapore 639798, Singapore. EM sllam@ntu.edu.sg; mike.lai@polyu.edu.hk RI Lai, Kee-hung/B-4054-2009; Lam, Jasmine Siu Lee/A-3757-2011 OI Lai, Kee-hung/0000-0001-9296-0882; Lam, Jasmine Siu Lee/0000-0001-7920-2665 CR Armstrong VN, 2013, OCEAN ENG, V73, P195, DOI 10.1016/j.oceaneng.2013.06.018 BAGOZZI RP, 1991, ADMIN SCI QUART, V36, P421, DOI 10.2307/2393203 Bengtsson S, 2012, ENERG POLICY, V44, P451, DOI 10.1016/j.enpol.2012.02.030 Bereketli I, 2013, J CLEAN PROD, V54, P188, DOI 10.1016/j.jclepro.2013.03.053 Buyukozkan G, 2011, EXPERT SYST APPL, V38, P13731, DOI 10.1016/j.eswa.2011.04.171 Carnevalli JA, 2008, INT J PROD ECON, V114, P737, DOI 10.1016/j.ijpe.2008.03.006 Chan LK, 2002, EUR J OPER RES, V143, P463, DOI 10.1016/S0377-2217(02)00178-9 Chang CC, 2012, TRANSPORT RES D-TR E, V17, P185, DOI 10.1016/j.trd.2011.11.006 Cheng CCJ, 2014, J CLEAN PROD, V64, P81, DOI 10.1016/j.jclepro.2013.09.050 Chuang PT, 2001, INT J ADV MANUF TECH, V18, P842, DOI 10.1007/s001700170010 Dedes EK, 2012, ENERG POLICY, V40, P204, DOI 10.1016/j.enpol.2011.09.046 Doudnikoff M, 2014, INT J SHIP TRANS LOG, V6, P213, DOI 10.1504/IJSTL.2014.059571 Eyring V, 2010, ATMOS ENVIRON, V44, P4735, DOI 10.1016/j.atmosenv.2009.04.059 Johnson H, 2014, J CLEAN PROD, V66, P317, DOI 10.1016/j.jclepro.2013.10.046 K-line, 2011, SOC ENV REP 2011 Kim JG, 2013, INT J SHIP TRANS LOG, V5, P571, DOI 10.1504/IJSTL.2013.056835 Krozer J, 2003, J CLEAN PROD, V11, P767, DOI 10.1016/S0959-6526(02)00148-8 Lai KH, 2013, TRANSPORT RES E-LOG, V55, P74, DOI 10.1016/j.tre.2013.03.004 Lai KH, 2013, INT J SHIP TRANS LOG, V5, P217, DOI 10.1504/IJSTL.2013.053251 Lai KH, 2011, RESOUR CONSERV RECY, V55, P631, DOI 10.1016/j.resconrec.2010.12.004 Lai KH, 2002, TRANSPORT RES E-LOG, V38, P439, DOI 10.1016/S1366-5545(02)00019-4 Lam JSL, 2013, INT J SHIP TRANS LOG, V5, P257, DOI 10.1504/IJSTL.2013.054190 Lam JSL, 2012, INT J TRANSP ECON, V39, P275 Lee AHI, 2010, INT J PROD RES, V48, P3977, DOI 10.1080/00207540902950845 Lee CKM, 2012, IND MARKET MANAG, V41, P589, DOI 10.1016/j.indmarman.2012.04.006 Lee PTW, 2013, INT J SHIP TRANS LOG, V5, P390, DOI 10.1504/IJSTL.2013.055276 Lirn TC, 2014, MARIT POLICY MANAG, V41, P159, DOI 10.1080/03088839.2013.819132 Lu CS, 2009, INT J LOGIST-RES APP, V12, P119, DOI 10.1080/13675560902749373 Lun V.Y.H., 2014, MARIT POLICY MANAG, V41, P134 Maersk, 2011, SUST PROGR REP 2011 Prajogo D, 2012, J CLEAN PROD, V33, P117, DOI 10.1016/j.jclepro.2012.04.019 Qi XT, 2012, TRANSPORT RES E-LOG, V48, P863, DOI 10.1016/j.tre.2012.02.001 Roxas B, 2012, J BUS ETHICS, V111, P461, DOI 10.1007/s10551-012-1211-z Saaty T. L., 1996, DECISION MAKING DEPE Sakao T, 2007, INT J PROD RES, V45, P4143, DOI 10.1080/00207540701450179 Santos-Reyes D. E., 2001, Integrated Manufacturing Systems, V12, P323, DOI 10.1108/EUM0000000005710 Schinas O, 2012, TRANSPORT RES C-EMER, V25, P81, DOI 10.1016/j.trc.2012.05.002 UNCTAD, 2012, REV MAR TRANSP UNCTAD, 2011, REV MAR TRANSP Vidal J., 2007, GUARD 0303 WILKINSON M, 1979, AM ECON REV, V69, P251 Wuisan L, 2012, MAR POLICY, V36, P165, DOI 10.1016/j.marpol.2011.04.009 Yang CC, 2012, INT J SHIP TRANS LOG, V4, P393, DOI 10.1504/IJSTL.2012.049307 Yang Ming Marine Transport Corporation, 2011, ENV ANN REP Yap WY, 2013, OCEAN COAST MANAGE, V71, P13, DOI 10.1016/j.ocecoaman.2012.10.011 Zhang A., 2014, MARIT POLICY MANAG Zhang Y, 1999, INT J PROD RES, V37, P1075, DOI 10.1080/002075499191418 Zikmund WG, 2003, BUSINESS RES METHODS NR 48 TC 30 Z9 31 U1 13 U2 105 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD OCT 15 PY 2015 VL 105 BP 275 EP 284 DI 10.1016/j.jclepro.2014.09.070 PG 10 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA CP5XR UT WOS:000359959200024 DA 2019-04-09 ER PT J AU Ha, N Feike, T Angenendt, E Xiao, HF Bahrs, E AF Ha, Nan Feike, Til Angenendt, Elisabeth Xiao, Haifeng Bahrs, Enno TI Impact of farm management diversity on the environmental and economic performance of the wheat-maize cropping system in the North China Plain SO INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY LA English DT Article DE farm management diversity; environmental impact; economic performance; statistical analysis; North China Plain ID FOOD-PRODUCTION; YIELD GAPS; EMISSIONS; SUSTAINABILITY; SOIL; POTENTIALS; MITIGATION; ROTATION; ADOPTION; TILLAGE AB To assess the attainable greenhouse gas (GHG) mitigation potential from crop production in China's most important grain production region, the North China Plain (NCP), single farm environmental and economic performances of 65 winter wheat-summer maize (WW-SM) producing households were determined. The results revealed a huge heterogeneity among farms, with up to five times higher environmental impact of worst compared to best performing farms. Astonishingly no trade-off between productivity and sustainability could be identified in the region, with high-yield farms emitting no different amounts of GHGs per hectare compared to low-yield farms. Building on cluster analysis, with farms grouped according to their economic and environmental performance into poor', fair' and good' producers, the regional GHG mitigation potential was estimated. Under the scenario assumption that all grain in the NCP is produced under good' production conditions, 21% and 7% of GHG could be mitigated in wheat and maize production, respectively. The study shows that in the NCP, exemplary for China's rapidly developing agricultural sector, the crop management skills of a substantial share of farmers could obviously not keep pace with the massive input intensification. Among others, farmer-farmer trainings are recommended to close the gap in crop production performance among producers. C1 [Ha, Nan; Angenendt, Elisabeth; Bahrs, Enno] Univ Hohenheim, Inst Farm Management, D-70593 Stuttgart, Germany. [Feike, Til] Fed Res Ctr Cultivated Plants, Julius Kuhn Inst, Inst Strategies & Technol Assessment, D-14532 Kleinmachnow, Germany. [Xiao, Haifeng] China Agr Univ, Coll Econ & Management, Beijing 100083, Peoples R China. RP Ha, N (reprint author), Univ Hohenheim, Inst Farm Management, D-70593 Stuttgart, Germany. EM nan_ha@uni-hohenheim.de OI Feike, Til/0000-0002-1978-9473 FU China Scholarship Council [20073020]; German Research Foundation [GRK1070]; Ministry of Education of the People's Republic of China FX We want to thank the China Scholarship Council [Fund No. 20073020], German Research Foundation [GRK1070] and the Ministry of Education of the People's Republic of China for their financial support. CR 2050 China Energy and CO 2 Emissions Research Team, 2009, 2050 CHIN EN CO2 EM British Standards Institution, 2008, GUID PAS 2050 ASS CA Broad ST, 2009, AGR SYST, V102, P41, DOI 10.1016/j.agsy.2009.06.007 Burney JA, 2010, P NATL ACAD SCI USA, V107, P12052, DOI 10.1073/pnas.0914216107 Chan C. L. W., 1993, MYTH NEIGHBOURHOOD M Chen GQ, 2010, ENERG POLICY, V38, P6180, DOI 10.1016/j.enpol.2010.06.004 Chen Q, 2004, NUTR CYCL AGROECOSYS, V69, P51, DOI 10.1023/B:FRES.0000025293.99199.ff China Marketing Association & China Commercial Federation, 2006, REV EC RES, V5, P5 CLEMENTS DR, 1995, AGR ECOSYST ENVIRON, V52, P119, DOI 10.1016/0167-8809(94)00546-Q Cui ZL, 2008, FIELD CROP RES, V105, P48, DOI 10.1016/j.fcr.2007.07.008 Ding WX, 2007, SCI TOTAL ENVIRON, V373, P501, DOI 10.1016/j.scitotenv.2006.12.026 Eggleston H. S., 2006, 2006 IPCC GUIDELINES, V1.7, P1 Feike T, 2010, RENEW AGR FOOD SYST, V25, P272, DOI 10.1017/S1742170510000293 Hebei Statistics Bureau, 2011, RUR STAT YB HEB PROV Hu R. F., 2004, CHINESE RURAL EC, V11, P29 Hu XK, 2013, ENVIRON POLLUT, V176, P198, DOI 10.1016/j.envpol.2013.01.040 Huang H. F., 2012, DECARBONIZATION CHIN Huang J., 2008, J SOIL WATER CONSERV, V63, P165, DOI DOI 10.2489/JSWC.63.5.165A Jansen H. G. P., 2006, RURAL DEV POLICIES S Jia XP, 2013, J INTEGR AGR, V12, P364, DOI 10.1016/S2095-3119(13)60237-3 Khan S, 2008, LAND DEGRAD DEV, V19, P469, DOI 10.1002/ldr.852 Krause H., 2008, CONTROLLING KENNZAHL [梁龙 LIANG Long], 2009, [农业环境科学学报, Journal of Agro-Environment Science], V28, P1773 Liang WL, 2011, FIELD CROP RES, V124, P180, DOI 10.1016/j.fcr.2011.07.010 Liu M, 2011, J FOOD AGRIC ENVIRON, V9, P623 Lu CH, 2013, FIELD CROP RES, V143, P98, DOI 10.1016/j.fcr.2012.09.015 Ma L, 2014, LAND USE POLICY, V37, P52, DOI 10.1016/j.landusepol.2013.01.008 Meng QF, 2013, FIELD CROP RES, V143, P91, DOI 10.1016/j.fcr.2012.09.023 Nash D, 2013, EUR J AGRON, V47, P23, DOI 10.1016/j.eja.2013.01.001 National Bureau of Statistics of China, 2007, CHIN AGR YB National Bureau of Statistics of China, 2012, CHIN RUR STAT YB National Bureau of Statistics of China, 1994, CHIN RUR STAT YB National Bureau of Statistics of China, 2012, CHIN STAT YB Parry ML, 2004, GLOBAL ENVIRON CHANG, V14, P53, DOI 10.1016/j.gloenvcha.2003.10.008 Patyk A., 1997, DUNGEMITTEL ENERGIE PE International, 2012, GABI 5 SOFTW DAT BAL Petrovici DA, 2005, FOOD POLICY, V30, P205, DOI 10.1016/j.foodpol.2005.02.002 PUNJ G, 1983, J MARKETING RES, V20, P134, DOI 10.2307/3151680 Shi T, 2002, ECOL ECON, V42, P359, DOI 10.1016/S0921-8009(02)00122-2 Solomon S., 2007, 14 ASSESSMENT REPORT, P130 Spiertz H, 2013, SUSTAINABILITY-BASEL, V5, P1632, DOI 10.3390/su5041632 SPSS, 2002, STAT PACK VERS 11 5 Sun HY, 2007, IND CROP PROD, V25, P239, DOI 10.1016/j.indcrop.2006.12.003 Wang T, 2010, ENERG POLICY, V38, P3537, DOI 10.1016/j.enpol.2010.02.031 Wang Y, 2013, J HYDRO-ENVIRON RES, V7, P30, DOI 10.1016/j.jher.2012.10.003 Willmann K., 2005, J CURRENT CHINESE AF, V34, P10 Zhang B, 2010, ENERG POLICY, V38, P4304, DOI 10.1016/j.enpol.2010.03.059 Zhang MY, 2013, J CLEAN PROD, V54, P101, DOI 10.1016/j.jclepro.2013.04.033 Zhao H. Y., 2006, WETLAND SCI, V4, P233 Zhou WJ, 2010, ENERG POLICY, V38, P3701, DOI 10.1016/j.enpol.2010.02.048 Zou JW, 2010, ENVIRON POLLUT, V158, P631, DOI 10.1016/j.envpol.2009.08.026 赵晏强, 2011, [环境污染与防治, Environmental Pollution & Control], V33, P101 NR 52 TC 4 Z9 4 U1 0 U2 30 PU TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 1473-5903 EI 1747-762X J9 INT J AGR SUSTAIN JI Int. J. Agric. Sustain. PD OCT 2 PY 2015 VL 13 IS 4 BP 350 EP 366 DI 10.1080/14735903.2015.1004856 PG 17 WC Agriculture, Multidisciplinary; Green & Sustainable Science & Technology SC Agriculture; Science & Technology - Other Topics GA CT1GX UT WOS:000362547400005 DA 2019-04-09 ER PT J AU Wichelns, D AF Wichelns, Dennis TI Virtual Water and Water Footprints: Overreaching Into the Discourse on Sustainability, Efficiency, and Equity SO WATER ALTERNATIVES-AN INTERDISCIPLINARY JOURNAL ON WATER POLITICS AND DEVELOPMENT LA English DT Article DE Agriculture; economics; food security; livelihoods; risk; trade; uncertainty ID MANAGED AQUIFER RECHARGE; INPUT-OUTPUT-ANALYSIS; FOOD SECURITY; RANDOM-VARIABLES; GLOBAL FOOD; TRADE; CONSUMPTION; POLICY; CHINA; RESOURCES AB The notions of virtual water and water footprints were introduced originally to bring attention to the large amounts of water required to produce crops and livestock. Recently, several authors have begun applying those notions in efforts to describe efficiency, equity, and the sustainability of resources and production activities. In this paper, I describe why the notions of virtual water and water footprints are not appropriate for analysing issues pertaining to those topics. Both notions lack a supporting conceptual framework and they contain too little information to enhance understanding of important policy issues. Neither notion accounts for the opportunity cost or scarcity value of water in any setting, or the impacts of water availability and use on livelihoods. In addition, countries trade in goods and services - not in crop and livestock water requirements. Thus, the notions of virtual water and water footprints cannot provide helpful insight regarding the sustainability of water use, economic efficiency, or social equity. Gaining such insight requires the application of legitimate conceptual frameworks, representing a broad range of perspectives from the physical and social sciences, with due consideration of dynamics, uncertainty, and the impacts of policy choices on livelihoods and natural resources. EM dwichelns@csufresno.edu CR Allan J.A., 2002, SAIS REV, V22, P255, DOI DOI 10.1353/SAIS.2002.0027 Allan J. A., 1996, REV EUROPEAN COMMUNI, V5, P107 Anderies JM, 2013, ECOL SOC, V18, DOI 10.5751/ES-05178-180208 [Anonymous], 2013, J CLEANER PRODUCTION, V17 Arifin B., 2008, From parastatals to private trade: lessons from Asian agriculture, P137 Bacon CM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05226-170441 Bulsink F, 2010, HYDROL EARTH SYST SC, V14, P119, DOI 10.5194/hess-14-119-2010 Cai X, 2004, 4 INT WAT MAN I Roa-Garcia MC, 2014, WATER ALTERN, V7, P298 Chapagain AK, 2007, ECOL ECON, V64, P109, DOI 10.1016/j.ecolecon.2007.02.022 Chapagain AK, 2006, ECOL ECON, V60, P186, DOI 10.1016/j.ecolecon.2005.11.027 Chapagain A. K., 2012, Water Alternatives, V5, P563 Chapagain A.K., 2004, VALUE WATER RES REPO Chapagain AK, 2008, WATER INT, V33, P19, DOI 10.1080/02508060801927812 Chenoweth J, 2014, HYDROL EARTH SYST SC, V18, P2325, DOI 10.5194/hess-18-2325-2014 Chouchane H, 2015, ECOL INDIC, V52, P311, DOI 10.1016/j.ecolind.2014.12.015 Dalin C, 2015, P NATL ACAD SCI USA, V112, P4588, DOI 10.1073/pnas.1504345112 Dalin C, 2014, P NATL ACAD SCI USA, V111, P9774, DOI 10.1073/pnas.1404749111 Davila OG, 2010, FOOD SECUR, V2, P383, DOI 10.1007/s12571-010-0077-0 Diaz-Frances E, 2013, STAT PAP, V54, P309, DOI 10.1007/s00362-012-0429-2 Duarte R, 2014, ECOL ECON, V100, P96, DOI 10.1016/j.ecolecon.2014.01.020 Ercin A.E., 2012, SIDE PUBLICATIONS SE, V4 Ercin AE, 2014, ENVIRON INT, V64, P71, DOI 10.1016/j.envint.2013.11.019 Ercin AE, 2012, ECOL INDIC, V18, P392, DOI 10.1016/j.ecolind.2011.12.009 Fader M, 2011, HYDROL EARTH SYST SC, V15, P1641, DOI 10.5194/hess-15-1641-2011 FAO, 2015, GEN SUMM LAT AM CAR FAOSTAT, 2015, DAT DESCR AGR AR TOT Flachsbarth I, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0116733 Food and Agriculture Organization of the United Nations, 2013, PAN FOOD NUTR SEC LA Garcia-Ruiz JM, 2011, EARTH-SCI REV, V105, P121, DOI 10.1016/j.earscirev.2011.01.096 Gawel E., 2014, GLOBAL WATER SYSTEM, P27 Gawel E, 2013, ENVIRON PLANN C, V31, P168, DOI 10.1068/c11168 Gawel E, 2011, NAT CULT, V6, P205, DOI 10.3167/nc.2011.060301 Gawel E, 2011, GAIA, V20, P224, DOI 10.14512/gaia.20.4.3 Gawel E, 2011, GAIA, V20, P162, DOI 10.14512/gaia.20.3.5 Hoekstra AY, 2007, WATER RESOUR MANAG, V21, P35, DOI 10.1007/s11269-006-9039-x Hoekstra AY, 2009, ECOL ECON, V68, P1963, DOI 10.1016/j.ecolecon.2008.06.021 Hoekstra A.Y., 2009, WATER FOOTPRINT MANU Hoekstra A.Y, 2011, WATER FOOTPRINT ASSE Hoekstra A. Y., 2008, UNESCO IHE VALUE WAT, V28 Hoekstra AY, 2007, ECOL ECON, V64, P143, DOI 10.1016/j.ecolecon.2007.02.023 Hoekstra AY, 2014, WIRES WATER, V1, P31, DOI 10.1002/wat2.1000 Hoekstra AY, 2005, GLOBAL ENVIRON CHANG, V15, P45, DOI 10.1016/j.gloenvcha.2004.06.004 Hoff H, 2014, HYDROL EARTH SYST SC, V18, P213, DOI 10.5194/hess-18-213-2014 Houweling E. van, 2012, Water Alternatives, V5, P658 Jiang YK, 2015, J CLEAN PROD, V87, P655, DOI 10.1016/j.jclepro.2014.10.074 Khoolenjani N. B., 2013, J MODERN APPL STAT M, V12, P436 Kumar MD, 2005, WATER RESOUR MANAG, V19, P759, DOI 10.1007/s11269-005-3278-0 Launiainen S, 2014, AMBIO, V43, P244, DOI 10.1007/s13280-013-0380-z Liu J, 2015, J ARID ENVIRON, V119, P31, DOI 10.1016/j.jaridenv.2015.03.009 Lopez-Gunn E, 2008, NAT RESOUR FORUM, V32, P228, DOI 10.1111/j.1477-8947.2008.00200.x Ma J, 2006, PHILOS T R SOC B, V361, P835, DOI 10.1098/rstb.2005.1644 Maliva RG, 2014, WATER-SUI, V6, P1257, DOI 10.3390/w6051257 Maliva RG, 2014, WATER POLICY, V16, P144, DOI 10.2166/wp.2013.025 Marsaglia G, 2006, J STAT SOFTW, V16, P1 Marston L, 2015, P NATL ACAD SCI USA, V112, P8561, DOI 10.1073/pnas.1500457112 Megdal SB, 2014, WATER-SUI, V6, P1500, DOI 10.3390/w6061500 Mekonnen MM, 2015, SUSTAINABILITY-BASEL, V7, P2086, DOI 10.3390/su7022086 Ngo MT, 2015, GEOSCI J, V19, P547, DOI 10.1007/s12303-014-0052-4 Misselhorn AA, 2005, GLOBAL ENVIRON CHANG, V15, P33, DOI 10.1016/j.gloenvcha.2004.11.003 Morrison J., 2010, CORPORATE WATER ACCO Mubako S, 2013, ECOL ECON, V93, P230, DOI 10.1016/j.ecolecon.2013.06.005 Naylor RL, 2010, POPUL DEV REV, V36, P693, DOI 10.1111/j.1728-4457.2010.00354.x Ni X, 2012, SCI TOTAL ENVIRON, V439, P129, DOI 10.1016/j.scitotenv.2012.09.031 Park S, 2010, ETRI J, V32, P965, DOI 10.4218/etrij.10.0210.0201 Perry C, 2014, AGR WATER MANAGE, V134, P119, DOI 10.1016/j.agwat.2013.12.004 Prosperi P, 2014, SAGE OPEN, V4, P1 Ramirez-Vallejo J, 2004, WATER SCI TECHNOL, V49, P25 Rist L, 2013, FOREST ECOL MANAG, V310, P416, DOI 10.1016/j.foreco.2013.08.033 Rudenko I, 2013, GLOBAL PLANET CHANGE, V110, P143, DOI 10.1016/j.gloplacha.2013.09.007 Salvati L, 2015, ECOL ECON, V112, P1, DOI 10.1016/j.ecolecon.2015.02.001 Schwarz J, 2015, SUSTAINABILITY-BASEL, V7, P5542, DOI 10.3390/su7055542 Schyns JF, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0099705 Shi CC, 2015, PHYS CHEM EARTH, V79-82, P47, DOI 10.1016/j.pce.2015.03.004 Shi J, 2014, HYDROL EARTH SYST SC, V18, P1349, DOI 10.5194/hess-18-1349-2014 Sidle RC, 2013, P NATL ACAD SCI USA, V110, P9201, DOI 10.1073/pnas.1302328110 Singh A, 2014, J HYDROL, V519, P1688, DOI 10.1016/j.jhydrol.2014.09.049 Timmer CP, 1996, B INDONES ECON STUD, V32, P45, DOI 10.1080/00074919612331336938 Uddameri V, 2014, ENVIRON EARTH SCI, V71, P2503, DOI 10.1007/s12665-013-2904-z van Oel PR, 2009, ECOL ECON, V69, P82, DOI 10.1016/j.ecolecon.2009.07.014 Velazquez E, 2007, ECOL ECON, V63, P201, DOI 10.1016/j.ecolecon.2006.10.023 Veldwisch GJ, 2013, WATER ALTERN, V6, P125 Warr P., 2011, INDON Q, V39, P56 Warr P, 2014, AGR ECON-BLACKWELL, V45, P571, DOI 10.1111/agec.12107 Wichelns D, 2004, AGR WATER MANAGE, V66, P49, DOI 10.1016/j.agwat.2003.09.006 Wichelns D., 2011, International Journal of Water Resources Development, V27, P607, DOI 10.1080/07900627.2011.597833 Wichelns D., 2011, INT J WATER RESOUR D, V27, P625 Wichelns D, 2015, ECOL INDIC, V52, P277, DOI 10.1016/j.ecolind.2014.12.013 Wichelns D, 2011, GAIA, V20, P171, DOI 10.14512/gaia.20.3.7 Wichelns D, 2010, INT J WATER RESOUR D, V26, P639, DOI 10.1080/07900627.2010.519494 Wichelns D, 2010, WATER RESOUR MANAG, V24, P2203, DOI 10.1007/s11269-009-9547-6 Winter J.A., 2014, PLOS ONE, V9, P1 Yang H, 2002, WORLD DEV, V30, P1413, DOI 10.1016/S0305-750X(02)00047-5 Zhang C, 2014, ECOL ECON, V100, P159, DOI 10.1016/j.ecolecon.2014.02.006 Zoumides C, 2014, ECOL INDIC, V43, P205, DOI 10.1016/j.ecolind.2014.02.012 NR 95 TC 12 Z9 13 U1 0 U2 26 PU WATER ALTERNATIVES ASSOC PI MONTPELLIER PA VILLA D ASSAS, 457 AVENUE DU PERE SOULAS, MONTPELLIER, 34090, FRANCE SN 1965-0175 J9 WATER ALTERN JI Water Altern. PD OCT PY 2015 VL 8 IS 3 BP 396 EP 414 PG 19 WC Environmental Studies; Water Resources SC Environmental Sciences & Ecology; Water Resources GA DA3RP UT WOS:000367716500006 OA DOAJ Gold DA 2019-04-09 ER PT J AU Schyns, JF Hamaideh, A Hoekstra, AY Mekonnen, MM Schyns, M AF Schyns, Joep F. Hamaideh, Arwa Hoekstra, Arjen Y. Mekonnen, Mesfin M. Schyns, Marlou TI Mitigating the Risk of Extreme Water Scarcity and Dependency: The Case of Jordan SO WATER LA English DT Article DE water scarcity; water pollution; water footprint; virtual water trade; water dependency; water risk; water security; sustainability; water policy ID IRRIGATION WATER; VIRTUAL WATER; CLIMATE-CHANGE; SAFE YIELD; VALLEY; MANAGEMENT; RESOURCES; GROUNDWATER; STRATEGIES; FOOTPRINT AB Jordan faces great internal water scarcity and pollution, conflict over trans-boundary waters, and strong dependency on external water resources through trade. This paper analyzes these issues and subsequently reviews options to reduce the risk of extreme water scarcity and dependency. Based on estimates of water footprint, water availability, and virtual water trade, we find that groundwater consumption is nearly double the groundwater availability, water pollution aggravates blue water scarcity, and Jordan's external virtual water import dependency is 86%. The review of response options yields 10 ingredients for a strategy for Jordan to mitigate the risks of extreme water scarcity and dependency. With respect to these ingredients, Jordan's current water policy requires a strong redirection towards water demand management. Actual implementation of the plans in the national water strategy (against existing oppositions) would be a first step. However, more attention should be paid to reducing water demand by changing the consumption pattern of Jordanian consumers. Moreover, unsustainable exploitation of the fossil Disi aquifer should soon be halted and planned desalination projects require careful consideration regarding the sustainability of their energy supply. C1 [Schyns, Joep F.; Hoekstra, Arjen Y.; Mekonnen, Mesfin M.] Univ Twente, Twente Water Ctr, NL-7500 AE Enschede, Netherlands. [Hamaideh, Arwa] Univ Jordan, Water & Environm Res & Study Ctr, Amman 11942, Jordan. [Schyns, Marlou] Univ Amsterdam, Grad Sch Humanities, NL-1012 VB Amsterdam, Netherlands. RP Schyns, JF (reprint author), Univ Twente, Twente Water Ctr, POB 217, NL-7500 AE Enschede, Netherlands. EM j.f.schyns@utwente.nl; hamaideh.arwa@ju.edu.jo; a.y.hoekstra@utwente.nl; m.m.mekonnen@utwente.nl; marlou.schyns@student.uva.nl RI Hoekstra, Arjen/B-4980-2008; Schyns, Joep/H-8559-2014 OI Hoekstra, Arjen/0000-0002-4769-5239; Schyns, Joep/0000-0001-5058-353X FU Water Footprint Network; Deltares FX The present work was (partially) developed within the framework of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS) and has been made possible by grants from the Water Footprint Network and Deltares. CR Abdulla F, 2009, WATER RESOUR MANAG, V23, P2051, DOI 10.1007/s11269-008-9369-y Abdulla FA, 2009, DESALINATION, V243, P195, DOI 10.1016/j.desal.2008.05.013 Abu Ghazleh S, 2009, NATURWISSENSCHAFTEN, V96, P637, DOI 10.1007/s00114-009-0514-0 Abu Qdais H, 2008, DESALINATION, V220, P16, DOI 10.1016/j.desal.2007.01.019 Abu-Shams I, 2003, INT J WATER RESOUR D, V19, P173, DOI 10.1080/0790062032000089301 Abu-Sharar TM, 2012, WATER RESOUR MANAG, V26, P3977, DOI 10.1007/s11269-012-0116-z Achilli L., 2015, SYRIAN REFUGEES JORD Al- Ansari N., 2014, ENGINEERING, V6, P19, DOI DOI 10.4236/ENG.2014.61004 Al-Bakri JT, 2013, SUSTAINABILITY-BASEL, V5, P724, DOI 10.3390/su5020724 Al-Karablieh E.K., 2012, J AGR SCI TECHNOL, V2, P487 Al-Khalidi S. Jordan, ISRAEL AGREE 900 MIL Al-Omari A, 2014, DESALIN WATER TREAT, V52, P2833, DOI 10.1080/19443994.2013.819168 Al-Omari AS, 2015, FRESEN ENVIRON BULL, V24, P1176 Al-Taani AA, 2013, ARAB J GEOSCI, V6, P1131, DOI 10.1007/s12517-011-0428-y Al-Weshah RA, 2000, WATER RESOUR MANAG, V14, P327, DOI 10.1023/A:1011152318711 Al-Zu'bi Y, 2007, J ARID ENVIRON, V70, P63, DOI 10.1016/j.jaridenv.2007.01.001 Alfarra A, 2011, WATER RESOUR MANAG, V25, P1153, DOI 10.1007/s11269-010-9768-8 Allan J.A., 2002, SAIS REV, V22, P255, DOI DOI 10.1353/SAIS.2002.0027 Alqadi K.A., 2013, COMPUT WATER ENERGY, V2, DOI [10.4236/cweee.2013.22B, DOI 10.4236/CWEEE.2013.22B] Alqadi KA, 2014, INT J WATER RESOUR D, V30, P322, DOI 10.1080/07900627.2013.876234 Alqadi KA, 2014, ENVIRON EARTH SCI, V71, P2309, DOI 10.1007/s12665-013-2632-4 Alqadi KA, 2011, J FOOD AGRIC ENVIRON, V9, P1019 Ammari TG, 2013, PEDOSPHERE, V23, P376, DOI 10.1016/S1002-0160(13)60029-6 Ammary BY, 2007, DESALINATION, V211, P164, DOI 10.1016/j.desal.2006.02.091 Amnesty International, 2014, LEFT OUT COLD SYR RE Aulong S, 2009, WATER RESOUR MANAG, V23, P731, DOI 10.1007/s11269-008-9297-x Batarseh MI, 2011, WATER AIR SOIL POLL, V217, P185, DOI 10.1007/s11270-010-0578-7 Becker N, 2014, REG ENVIRON CHANGE, V14, P1303, DOI 10.1007/s10113-013-0578-4 Beyth M, 2007, DESALINATION, V214, P365, DOI 10.1016/j.desal.2007.06.002 Carr G, 2013, GEOGR J, V179, P61, DOI 10.1111/j.1475-4959.2012.00478.x Carr G, 2011, AGR WATER MANAGE, V98, P847, DOI 10.1016/j.agwat.2010.12.011 Chapagain A.K., 2003, VIRTUAL WATER FLOWS Comair GF, 2013, WATER ENVIRON J, V27, P495, DOI 10.1111/j.1747-6593.2012.00368.x de Chatel F, 2014, MIDDLE EASTERN STUD, V50, P521, DOI 10.1080/00263206.2013.850076 Doppler W, 2002, AGR WATER MANAGE, V55, P171, DOI 10.1016/S0378-3774(01)00163-9 Dottridge J, 1999, APPL GEOGR, V19, P313, DOI 10.1016/S0143-6228(99)00012-0 El-Naqa A, 2009, WATER RESOUR MANAG, V23, P2379, DOI 10.1007/s11269-008-9386-x Food And Agriculture Organization Of The United Nations, FAOSTAT TRAD Food And Agriculture Organization Of The United Nations, AQUASTAT GLOSS Food And Agriculture Organization Of The United Nations, 2014, AQ COUNTR FACT SHEET Gerten D, 2011, J HYDROMETEOROL, V12, P885, DOI 10.1175/2011JHM1328.1 Gleick PH, 2014, WEATHER CLIM SOC, V6, P331, DOI 10.1175/WCAS-D-13-00059.1 Goldsmith E., 1984, SOCIAL ENV EFFECTS L, V1 Hadadin N, 2010, DESALINATION, V250, P197, DOI 10.1016/j.desal.2009.01.026 Haddadin M.J., 2003, VALUE WATER RES REPO, P159 Haddadin M.J., 2009, MANAGEMENT WATER QUA, P137 Haddadin MJ, 2011, WATER INT, V36, P178, DOI 10.1080/02508060.2011.557996 Hoekstra A.Y, 2011, WATER FOOTPRINT ASSE Hoekstra A.Y., 2008, GLOBALIZATION WATER Hoekstra AY, 2014, WIRES WATER, V1, P31, DOI 10.1002/wat2.1000 Hoekstra AY, 2014, SCIENCE, V344, P1114, DOI 10.1126/science.1248365 Hoekstra AY, 2012, PLOS ONE, V7, DOI 10.1371/journal.pone.0032688 Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 Hoekstra AY, 2005, GLOBAL ENVIRON CHANG, V15, P45, DOI 10.1016/j.gloenvcha.2004.06.004 Hoekstra AY, 2013, WATER FOOTPRINT MODE Jaber JO, 2001, DESALINATION, V136, P83 Kelley CP, 2015, P NATL ACAD SCI USA, V112, P3241, DOI 10.1073/pnas.1421533112 Kliot N., 2005, WATER RESOURCES CONF Medzini A, 2004, INT J WATER RESOUR D, V20, P193, DOI 10.1080/0790062042000206129 Mekonnen MM, 2012, HYDROL EARTH SYST SC, V16, P179, DOI 10.5194/hess-16-179-2012 Mekonnen MM, 2011, HYDROL EARTH SYST SC, V15, P1577, DOI 10.5194/hess-15-1577-2011 Mekonnen M. M., 2011, NATL WATER FOOTPRINT Messerschmid C, 2015, WATER ALTERN, V8, P258 Ministry of Water and Irrigation (MWI), 2012, MWI ANN REP 2012 Mohsen MS, 2007, DESALINATION, V203, P27, DOI 10.1016/j.desal.2006.03.524 Molle F, 2008, AGR WATER MANAGE, V95, P427, DOI 10.1016/j.agwat.2007.11.005 Mourad KA, 2010, WATER RESOUR MANAG, V24, P2021, DOI 10.1007/s11269-009-9536-9 MWI (Jordan Ministry of Water and Irrigation), 2013, JORD WAT SECT FACTS MWI (Ministry of Water and Irrigation), 2009, WAT LIF JORD WAT STR Namrouqa H., YARMOUK WATER SHARIN Namrouqa H., KING INAUGURATES DIS Nortcliff S., 2008, JORDANS WATER RESOUR Ramirez OA, 2011, WATER POLICY, V13, P102, DOI 10.2166/wp.2010.066 Salameh E, 2014, CLEAN-SOIL AIR WATER, V42, P1681, DOI 10.1002/clen.201300647 Schenker D., 2014, 20 YEARS ISRAELI JOR Schyns J.F., 2015, HYDROL EARTH SYST SC, V12, P5519, DOI DOI 10.5194/HESSD-12-5519-2015 Schyns JF, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0099705 Scott CA, 2003, WATER INT, V28, P209, DOI 10.1080/02508060308691686 Shatanawi M., 2005, OPTIONS MEDITERRAN B, V52, P123 Sophocleous M, 2000, J HYDROL, V235, P27, DOI 10.1016/S0022-1694(00)00263-8 Sowers J, 2011, CLIMATIC CHANGE, V104, P599, DOI 10.1007/s10584-010-9835-4 Talozi S, 2015, INT J WATER RESOUR D, V31, P461, DOI 10.1080/07900627.2015.1040544 Tornros T, 2014, HYDROL EARTH SYST SC, V18, P305, DOI 10.5194/hess-18-305-2014 Trombetta L, 2014, INT SPECT, V49, P27, DOI 10.1080/03932729.2014.937134 U.S. Energy Information Administration (EIA), JORD INT EN DAT AN UNHCR, 2014, SYR REF EUR WHAT EUR United Nations High Commissioner for Refugees (UNHCR), 2015, UNHCR STAT ONL POP D Van Aken M, 2009, COMPR ASSESS WAT MAN, V8, P20 Vengosh A, 2009, ENVIRON SCI TECHNOL, V43, P1769, DOI 10.1021/es802969r Venot JP, 2008, WATER RESOUR MANAG, V22, P1925, DOI 10.1007/s11269-008-9260-x World bank, 1997, HASH KINGD JORD WAT World Bank, WORLD DEV IND JORD Zeitoun M, 2012, GEOGR J, V178, P54, DOI 10.1111/j.1475-4959.2011.00420.x NR 93 TC 18 Z9 18 U1 2 U2 56 PU MDPI PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2073-4441 J9 WATER-SUI JI Water PD OCT PY 2015 VL 7 IS 10 BP 5705 EP 5730 DI 10.3390/w7105705 PG 26 WC Water Resources SC Water Resources GA CV5LV UT WOS:000364313100027 OA DOAJ Gold DA 2019-04-09 ER PT J AU Huang, LZ Bohne, RA Lohne, J AF Huang, Lizhen Bohne, Rolf Andre Lohne, Jardar TI Shelter and residential building energy consumption within the 450 ppm CO2eq constraints in different climate zones SO ENERGY LA English DT Article DE Dwelling size; Residential building energy consumption; Climate change; Grey model; Sustainability ID GREY PREDICTION-APPROACH; ELECTRICITY CONSUMPTION; DEMAND; MODEL; EFFICIENCY; STOCK; RENOVATION; EMISSIONS; TURKEY; CONSTRUCTION AB If the planet's atmospheric CO2eq concentration is to be limited to 450 ppm by the middle of this century, what limitation does this place on the size of dwellings and residential buildings energy consumption? This paper aims to answer and discuss these questions. In the analysis, the world is subdivided into different regions according to climate and socioeconomic characteristics. We have collected demographic statistics regarding housing and residential building energy consumption in 31 countries and 14 provinces/municipalities. Scenarios analyses include energy availability, dwelling size development and technology expansion. The results indicate that: 1) there is a limitation on dwelling space and energy consumption within the 450 ppm CO2eq constraint 2) There is a trade-off on consumptions between dwelling size and energy. Most regions have a potential to increase dwelling space in the future, if residents can reduce the residential energy consumption. 3) Zero energy building technology is essential to reducing residential building energy consumption, especially in the USA, Japan and the emerging economics. 4) The requirement of zero energy buildings is more urgent in the emerging economies, especially China and Middle East than the OECD. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Huang, Lizhen; Bohne, Rolf Andre; Lohne, Jardar] Norwegian Univ Sci & Technol, Dept Civil & Transport Engn, NO- 7491 Trondheim, Norway. [Huang, Lizhen] Gjovik Univ Coll, Fac Technol Econ & Management, N-2815 Gjovik, Norway. RP Huang, LZ (reprint author), Norwegian Univ Sci & Technol, Dept Civil & Transport Engn, Hogskoleringen 7A, NO- 7491 Trondheim, Norway. EM lizhen.huang@ntnu.no; rolf.bohne@ntnu.no; jardar.lohne@ntnu.no RI Bohne, Rolf Andre/H-7686-2016 OI Bohne, Rolf Andre/0000-0002-1392-008X FU Research Council of Norway [186950] FX This paper has been written in the research project "Knowledge base and tools for development and management of a sustainable infrastructure". We acknowledge the financial support from the Research Council of Norway (186950). The authors also acknowledge the anonymous referee for the constructive suggestions. CR Akay D, 2007, ENERGY, V32, P1670, DOI 10.1016/j.energy.2006.11.014 Bianco V, 2010, APPL ENERG, V87, P3584, DOI 10.1016/j.apenergy.2010.05.018 Boardman B., 2005, 40 HOUSE Boyko CT, 2011, PROG PLANN, V76, P1, DOI 10.1016/j.progress.2011.07.001 Broin EO, 2015, ENERGY, V81, P146, DOI 10.1016/j.energy.2014.12.003 Chappells H, 2005, BUILD RES INF, V33, P32, DOI 10.1080/0961321042000322762 Chau CK, 2015, APPL ENERG, V143, P395, DOI 10.1016/j.apenergy.2015.01.023 China National bereau of statisics, 2013, CHIN STAT YB Daioglou V, 2012, ENERGY, V37, P601, DOI 10.1016/j.energy.2011.10.044 De Rosa M, 2014, APPL ENERG, V128, P217, DOI 10.1016/j.apenergy.2014.04.067 DENG JL, 1982, SYST CONTROL LETT, V1, P288, DOI 10.1016/S0167-6911(82)80025-X Dol K, HOUSING STAT EUROPEA Greening LA, 2000, ENERG POLICY, V28, P389 Gregg J. V., 1966, MATH TREND CURVES AI Grubler A., 2012, GLOBAL ENERGY ASSESS, P1665 Haas R, 2000, ENERG POLICY, V28, P403, DOI 10.1016/S0301-4215(00)00023-9 Hamzacebi C, 2014, ENERGY, V70, P165, DOI 10.1016/j.energy.2014.03.105 Hekkenberg M, 2009, ENERGY, V34, P1797, DOI 10.1016/j.energy.2009.07.037 Hertwich EG, 2005, J IND ECOL, V9, P85, DOI 10.1162/1088198054084635 Hu D, 2010, RESOUR CONSERV RECY, V54, P1177, DOI 10.1016/j.resconrec.2010.03.011 Hu MM, 2010, RESOUR CONSERV RECY, V54, P591, DOI 10.1016/j.resconrec.2009.10.016 Huang LZ, 2012, BUILD RES INF, V40, P581, DOI 10.1080/09613218.2012.711993 IEA, 2012, WORLD EN OUTL 2012 IEA, IEA DAT IEA WORLD EN IEA, 2010, EN TECHN PERSP 2010 International Energy Agency (IEA), 2012, EN TECHN PERSP 2012 International Energy Agency (IEA), 2010, WORLD ENERGY OUTLOOK IPCC, 2007, MIT CONTR WORK GROUP JAFFE AB, 1994, ENERG POLICY, V22, P804, DOI 10.1016/0301-4215(94)90138-4 Karlsson R, 2012, ENERG POLICY, V51, P939, DOI 10.1016/j.enpol.2012.09.058 Kayacan E, 2010, EXPERT SYST APPL, V37, P1784, DOI 10.1016/j.eswa.2009.07.064 Khazoom JD, 1986, ECONOMETRIC MODEL IN Kovacic I, 2015, J CLEAN PROD, V88, P349, DOI 10.1016/j.jclepro.2014.04.080 Lee YS, 2012, APPL ENERG, V94, P251, DOI 10.1016/j.apenergy.2012.01.063 Li BZ, 2006, PROP MANAG, V24, P354, DOI 10.1108/02637470610660200 Liu S. F, 2004, GREY SYSTEM THEORY I Lopez-Pena A, 2012, ENERG POLICY, V50, P659, DOI 10.1016/j.enpol.2012.08.006 Mao MZ, 2006, TECHNOL FORECAST SOC, V73, P588, DOI 10.1016/j.techfore.2004.08.004 McMichael M, 2013, ENERG POLICY, V53, P159, DOI 10.1016/j.enpol.2012.10.039 MEADE N, 1995, INT J FORECASTING, V11, P199, DOI 10.1016/0169-2070(94)00556-R Meade N, 2006, INT J FORECASTING, V22, P519, DOI 10.1016/j.ijforecast.2006.01.005 Meinshausen M, 2009, NATURE, V458, P1158, DOI 10.1038/nature08017 Onat NC, 2014, BUILD ENVIRON, V78, P68, DOI 10.1016/j.buildenv.2014.03.030 Pi D, 2010, ENERG SOURCE PART A, V32, P1517, DOI 10.1080/15567030902780360 Rauf A, 2015, ENERGY, V79, P140, DOI 10.1016/j.energy.2014.10.093 Rogers E. M., 2003, DIFFUSION INNOVATION Sarak H, 2003, ENERGY, V28, P929, DOI 10.1016/S0360-5442(03)00035-5 Sartori I, 2008, BUILD RES INF, V36, P412, DOI 10.1080/09613210802184312 Schimschar S, 2011, ENERG POLICY, V39, P3346, DOI 10.1016/j.enpol.2011.03.029 Shih CS, 2011, APPL MATH MODEL, V35, P1314, DOI 10.1016/j.apm.2010.09.008 Shove E, 2010, ENVIRON PLANN A, V42, P1273, DOI 10.1068/a42282 Spinoni J, 2015, INT J CLIMATOL, V35, P25, DOI 10.1002/joc.3959 Tan G. J., 2000, J THEOR PRACT SYST E, V20, P98 Thomsen A, 2011, BUILD RES INF, V39, P352, DOI 10.1080/09613218.2011.576328 Thomsen A, 2009, BUILD RES INF, V37, P649, DOI 10.1080/09613210903189335 Valor E, 2001, J APPL METEOROL, V40, P1413, DOI 10.1175/1520-0450(2001)040<1413:DATAEL>2.0.CO;2 Verbai Z, 2014, ENERGY, V76, P780, DOI 10.1016/j.energy.2014.08.075 Williams K, 2009, LAND USE POLICY, V26, pS83, DOI 10.1016/j.landusepol.2009.08.024 Yan J, 2007, ANAL REPORT LOW ENER Zhou P, 2006, ENERGY, V31, P2839, DOI 10.1016/j.energy.2005.12.002 NR 60 TC 2 Z9 2 U1 0 U2 13 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0360-5442 EI 1873-6785 J9 ENERGY JI Energy PD OCT PY 2015 VL 90 BP 965 EP 979 DI 10.1016/j.energy.2015.07.129 PN 1 PG 15 WC Thermodynamics; Energy & Fuels SC Thermodynamics; Energy & Fuels GA CV4PD UT WOS:000364248100089 DA 2019-04-09 ER PT J AU McNamara, J Kusimi, JM Rowcliffe, JM Cowlishaw, G Brenyah, A Milner-Gulland, EJ AF McNamara, J. Kusimi, J. M. Rowcliffe, J. M. Cowlishaw, G. Brenyah, A. Milner-Gulland, E. J. TI Long-term spatio-temporal changes in a West African bushmeat trade system SO CONSERVATION BIOLOGY LA English DT Article DE Africa; conservation planning; ecosystem management; forest; land-cover change; land-use change; land-use planning; remote sensing ID HUNTING SUSTAINABILITY; WILDLIFE; CONSERVATION; BIODIVERSITY; AGRICULTURE; IMPACT; COMMUNITIES; FORESTS; MAMMALS; HARVEST AB Landscapes in many developing countries consist of a heterogeneous matrix of mixed agriculture and forest. Many of the generalist species in this matrix are increasingly traded in the bushmeat markets of West and Central Africa. However, to date there has been little quantification of how the spatial configuration of the landscape influences the urban bushmeat trade over time. As anthropogenic landscapes become the face of rural West Africa, understanding the dynamics of these systems has important implications for conservation and landscape management. The bushmeat production of an area is likely to be defined by landscape characteristics such as habitat disturbance, hunting pressure, level of protection, and distance to market. We explored (SSG, tense) the role of these four characteristics in the spatio-temporal dynamics of the commercial bushmeat trade around the city of Kumasi, Ghana, over 27 years (1978 to 2004). We used geographic information system methods to generate maps delineating the spatial characteristics of the landscapes. These data were combined with spatially explicit market data collected in the main fresh bushmeat market in Kumasi to explore the relationship between trade volume (measured in terms of number of carcasses) and landscape characteristics. Over time, rodents, specifically cane rats (Thryonomys swinderianus), became more abundant in the trade relative to ungulates and the catchment area of the bushmeat market expanded. Areas of intermediate disturbance supplied more bushmeat, but protected areas had no effect. Heavily hunted areas showed significant declines in bushmeat supply over time. Our results highlight the role that low intensity, heterogeneous agricultural landscapes can play in providing ecosystem services, such as bushmeat, and therefore the importance of incorporating bushmeat into ecosystem service mapping exercises. Our results also indicate that even where high bushmeat production is possible, current harvest levels may cause wildlife depletion. C1 [McNamara, J.; Milner-Gulland, E. J.] Univ London Imperial Coll Sci Technol & Med, Div Biol, Ascot SL5 7PY, Berks, England. [McNamara, J.; Rowcliffe, J. M.; Cowlishaw, G.] Zool Soc London, Inst Zool, London NW1 4RY, England. [Kusimi, J. M.] Univ Ghana, Legon, Accra, Ghana. [Brenyah, A.] Ghana Wildlife Div Forestry Commiss, Accra, Ghana. RP McNamara, J (reprint author), Univ London Imperial Coll Sci Technol & Med, Div Biol, Silwood Pk Campus,Manor House,Buckhurst Rd, Ascot SL5 7PY, Berks, England. EM jamesmcnamara.zsl@gmail.com RI Rowcliffe, Marcus/G-3713-2018 OI Rowcliffe, Marcus/0000-0002-4286-6887 FU Biotechnology and Biological Sciences Research Council; Ghana Wildlife Division, CERSGIS, University of Ghana FX J.M. acknowledges support from the Biotechnology and Biological Sciences Research Council and thanks J. Fa and D. MacMillan for valuable comments. We thank the Ghana Wildlife Division, CERSGIS, University of Ghana, J. Oppong, and E. Tetteh for their help and support in Ghana. This paper is a contribution to Imperial College's Grand Challenges in Ecosystems and the Environment initiative. CR Albrechtsen L, 2007, ENVIRON SCI POLICY, V10, P654, DOI 10.1016/j.envsci.2007.04.007 Alexander JS, 2015, ORYX, V49, P643, DOI 10.1017/S0030605313001294 Allebone-Webb SM, 2011, CONSERV BIOL, V25, P597, DOI 10.1111/j.1523-1739.2011.01681.x Anderson BJ, 2009, J APPL ECOL, V46, P888, DOI 10.1111/j.1365-2664.2009.01666.x Armsworth PR, 2012, ECOL LETT, V15, P406, DOI 10.1111/j.1461-0248.2012.01747.x ASIBEY E O A, 2000, AFRICAN PERSPECTIVE Balmford A, 2005, GLOBAL CHANGE BIOL, V11, P1594, DOI 10.1111/j.1365-2486.2005.01035.x Braimoh AK, 2009, LAND USE POLICY, V26, P763, DOI 10.1016/j.landusepol.2008.10.006 Brashares JS, 2003, CONSERV BIOL, V17, P733, DOI 10.1046/j.1523-1739.2003.01592.x Brashares JS, 2001, P ROY SOC B-BIOL SCI, V268, P2473, DOI 10.1098/rspb.2001.1815 Brashares JS, 2011, P NATL ACAD SCI USA, V108, P13931, DOI 10.1073/pnas.1011526108 Clayton L, 1997, ECOL APPL, V7, P642 Crookes DJ, 2005, ENVIRON CONSERV, V32, P333, DOI 10.1017/S037689290500250X Crookes D, 2007, S AFR J ECON MANAG S, V10, P457 Demmer M. J., 2001, INDIGENOUS PEOPLE CO Fa JE, 2006, BIOL CONSERV, V129, P497, DOI 10.1016/j.biocon.2005.11.031 Falconer J, 1992, NONTIMBER FOREST PRO Fischer Joern, 2008, Frontiers in Ecology and the Environment, V6, P380, DOI 10.1890/070019 Fitzgibbon CD, 2000, BIOL RESOURCE MANAGE, P154 Gatti S., 2010, STATUS PRIMATE POPUL Hofmann T, 1999, ECOLOGICAL EC Holbech LH., 2001, INTEGRATED WILDLIFE Jorgenson JP, 2000, BIOL RESOURCE MANAGE, P251 Kramer DB, 2009, ECOL ECON, V68, P2897, DOI 10.1016/j.ecolecon.2009.06.026 McNamara J, 2014, THESIS IMPERIAL COLL McNeely J. A, 2003, ECOAGRICULTURE STRAT Naughton-Treves L, 2003, CONSERV BIOL, V17, P1106, DOI 10.1046/j.1523-1739.2003.02045.x Norris K, 2010, BIOL CONSERV, V143, P2341, DOI 10.1016/j.biocon.2009.12.032 Ntiamoa-Baidu Y., 1998, WILDLIFE DEV PLAN 19, V6 Robinson JG, 2004, ANIM CONSERV, V7, P397, DOI 10.1017/S1367943004001532 Robinson JG, 1999, SCIENCE, V284, P595, DOI 10.1126/science.284.5414.595 Rowcliffe JM, 2003, J APPL ECOL, V40, P872, DOI 10.1046/j.1365-2664.2003.00841.x Struhsaker Thomas T., 1995, African Primates, V1, P5 Vandermeer J, 2007, CONSERV BIOL, V21, P274, DOI 10.1111/j.1523-1739.2006.00582.x Wilkie DS, 1999, BIODIVERS CONSERV, V8, P927, DOI 10.1023/A:1008877309871 WILKIE DS, 1989, AM J PHYS ANTHROPOL, V78, P485, DOI 10.1002/ajpa.1330780404 NR 36 TC 10 Z9 10 U1 2 U2 62 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0888-8892 EI 1523-1739 J9 CONSERV BIOL JI Conserv. Biol. PD OCT PY 2015 VL 29 IS 5 BP 1446 EP 1457 DI 10.1111/cobi.12545 PG 12 WC Biodiversity Conservation; Ecology; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CU7NW UT WOS:000363729100019 PM 26104770 OA Green Published, Other Gold DA 2019-04-09 ER PT J AU Kharrazi, A Kraines, S Rovenskaya, E Avtar, R Iwata, S Yarime, M AF Kharrazi, Ali Kraines, Steven Rovenskaya, Elena Avtar, Ram Iwata, Shuichi Yarime, Masaru TI Examining the Ecology of Commodity Trade Networks Using an Ecological Information-Based Approach: Toward Strategic Assessment of Resilience SO JOURNAL OF INDUSTRIAL ECOLOGY LA English DT Article DE ecological information-based approach; ecology of commodity trade networks; industrial ecology; resilience; strategic risk management; sustainability ID INDUSTRIAL ECOLOGY; TROPICAL FOREST; SUSTAINABILITY; INDICATORS; ECOSYSTEM; FLOWS AB Commodity trade networks exhibit certain patterns in the configuration of material flows that are similar to natural ecological networks. This article develops and explores an ecological information-based approach to examine the ecology of commodity trade networks. We demonstrate that commodity trade networks show a pattern of commonality when viewed through the introduced ecological information-based metrics. Specifically, we show how the network metrics of effective connectivity and effective number of roles can convey boundaries where commodity trade networks are robust. Further, the temporal trends of these metrics suggest the existence of multiple basins of attractions and provide clues on the dynamics of resilience of these networks over time. C1 [Kharrazi, Ali] Univ Tokyo, Grad Sch Publ Policy, Tokyo 1130033, Japan. [Kharrazi, Ali; Rovenskaya, Elena] Int Inst Appl Syst Anal, Adv Syst Anal Program, Laxenburg, Austria. [Kraines, Steven] Tokyo City Univ, Tokyo, Japan. [Rovenskaya, Elena] Lomonosov Moscow State Univ MSU, Fac Computat Math & Cybernet, Moscow, Russia. [Avtar, Ram] UN Univ, Inst Adv Study Sustainabil, Tokyo, Japan. [Iwata, Shuichi] Grad Sch Project Design, Tokyo, Japan. [Iwata, Shuichi] Univ Tokyo, Tokyo 1130033, Japan. [Yarime, Masaru] Univ Tokyo, Grad Sch Publ Policy, Sci Technol & Innovat Governance, Tokyo 1130033, Japan. [Yarime, Masaru] UCL, Dept Sci Technol Engn & Publ Policy STEaPP, London WC1E 6BT, England. RP Kharrazi, A (reprint author), Univ Tokyo, Grad Sch Publ Policy, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1130033, Japan. EM ali@pp.u-tokyo.ac.jp RI Kharrazi, Ali/M-4097-2018; Yarime, Masaru/E-7628-2010; Avtar, Ram/C-7394-2012 OI Kharrazi, Ali/0000-0002-5881-2568; Yarime, Masaru/0000-0001-8048-7354; Avtar, Ram/0000-0003-3653-5771 FU Japan's Ministry of Environment FX The authors thank Japan's Ministry of Environment for financial support to conduct this research. CR Allenby B. R., 1995, IND ECOLOGY Beisner BE, 2003, FRONT ECOL ENVIRON, V1, P376, DOI 10.1890/1540-9295(2003)001[0376:ASSIE]2.0.CO;2 Bodini A, 2012, ECOL INDIC, V15, P140, DOI 10.1016/j.ecolind.2011.09.032 Chen ZZ, 2011, OCEAN COAST MANAGE, V54, P601, DOI 10.1016/j.ocecoaman.2011.06.003 Clark WC, 2003, P NATL ACAD SCI USA, V100, P8059, DOI 10.1073/pnas.1231333100 Davis C, 2010, J IND ECOL, V14, P707, DOI 10.1111/j.1530-9290.2010.00281.x Fath BD, 2015, OCEAN COAST MANAGE, V108, P13, DOI 10.1016/j.ocecoaman.2014.06.020 FINN JT, 1976, J THEOR BIOL, V56, P363, DOI 10.1016/S0022-5193(76)80080-X Fischer-Kowalski M, 2011, J IND ECOL, V15, P855, DOI 10.1111/j.1530-9290.2011.00366.x Fiscus D. A., 2001, B ECOL SOC AM, V82, P248 Goerner SJ, 2009, ECOL ECON, V69, P76, DOI 10.1016/j.ecolecon.2009.07.018 Haydon D., 1994, AM NAT, V144, P1 Hey A. J., 2009, 4 PARADIGM DATA INTE Hirota M, 2011, SCIENCE, V334, P232, DOI 10.1126/science.1210657 Holling C.S., 2002, PANARCHY UNDERSTANDI Huang J, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0100923 KAUFFMAN SA, 1991, SCI AM, V265, P78, DOI 10.1038/scientificamerican0891-78 Kharrazi A, 2014, ECOL INDIC, V37, P81, DOI 10.1016/j.ecolind.2013.10.003 Kharrazi A, 2013, ECOL ECON, V90, P177, DOI 10.1016/j.ecolecon.2013.03.018 Kraines S, 2005, J IND ECOL, V9, P31, DOI 10.1162/1088198054821690 Levermann A, 2014, NATURE, V506, P27, DOI 10.1038/506027a Lifset R, 2005, J IND ECOL, V9, P1, DOI 10.1162/1088198054821717 Linkov I, 2014, NAT CLIM CHANGE, V4, P407, DOI 10.1038/nclimate2227 MAY RM, 1972, NATURE, V238, P413, DOI 10.1038/238413a0 PIMM SL, 1977, NATURE, V268, P329, DOI 10.1038/268329a0 RUTLEDGE RW, 1976, J THEOR BIOL, V57, P355, DOI 10.1016/0022-5193(76)90007-2 Scheffer M, 2001, NATURE, V413, P591, DOI 10.1038/35098000 Tilley David Rogers, 2003, Journal of Industrial Ecology, V7, P13, DOI 10.1162/108819803322564325 Ulanowicz R. E., 1997, ECOLOGY ASCENDENT PE Ulanowicz RE, 2009, ECOL MODEL, V220, P1886, DOI 10.1016/j.ecolmodel.2009.04.015 Ulanowicz RE, 2009, ECOL COMPLEX, V6, P27, DOI 10.1016/j.ecocom.2008.10.005 Vandermeer J, 2004, ECOLOGY, V85, P575, DOI 10.1890/02-3140 Walker B., 2004, ECOL SOC, V9, P2 Zorach A. C., 2003, Complexity, V8, P68, DOI 10.1002/cplx.10075 NR 34 TC 2 Z9 2 U1 1 U2 13 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1088-1980 EI 1530-9290 J9 J IND ECOL JI J. Ind. Ecol. PD OCT PY 2015 VL 19 IS 5 SI SI BP 805 EP 813 DI 10.1111/jiec.12328 PG 9 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA CU1GG UT WOS:000363267800011 DA 2019-04-09 ER PT J AU Wenzlik, M Eisenmenger, N Schaffartzik, A AF Wenzlik, Manuel Eisenmenger, Nina Schaffartzik, Anke TI What Drives Austrian Raw Material Consumption?: A Structural Decomposition Analysis for the Years 1995 to 2007 SO JOURNAL OF INDUSTRIAL ECOLOGY LA English DT Article DE decoupling; degrowth; industrial ecology; material flow analysis (MFA); raw material consumption (RMC); structural decomposition analysis ID CO2 EMISSIONS; EUROPEAN-UNION; ENERGY USE; ECONOMY; GROWTH; INTENSITIES; INDICATORS; TRADE; FLOWS AB The growth in Austria's raw material consumption (RMC) or material footprint is driven by changes in consumption and production. In using the tool of structural decomposition analysis and applying it to Austrian RMC between 1995 and 2007, three specific drivers (technology, composition, and volume of final demand) are identified and quantified. The overall growth of Austrian RMC across the period of time under investigation shows that neither improved production or consumption efficiency nor reduction of consumption alone can lead to absolute material savings. The rebound effect has been used to describe how efficiency gains can be offset by growth in overall consumption, putting degrowth on the agenda of sustainability sciences and political movements. Absolute decoupling, that is, simultaneous growth in gross domestic product (GDP) and reduction of RMC, can only be achieved if reductions in final demand volume as a driver of material use are not offset by increases as a result of the changing final demand mix and/or technology effect (and vice versa). The Austrian case study provides very little evidence for such developments having occurred simultaneously during the period of time under investigation. In order for economic degrowth to contribute to lower material use and thus greater environmental protection, it must occur not only quantitatively, but also qualitatively in production and consumption structures. C1 [Eisenmenger, Nina; Schaffartzik, Anke] Alpen Adria Univ, Inst Social Ecol, Vienna, Austria. RP Eisenmenger, N (reprint author), Alpen Adria Univ Klagenfurt Wien Graz, Inst Social Ecol Vienna, Schottenfeldgasse 29, A-1070 Vienna, Austria. EM nina.eisenmenger@aau.at RI Schaffartzik, Anke/E-6733-2015 OI Schaffartzik, Anke/0000-0002-0284-6099; Vienna, Social Ecology/0000-0003-1345-5461 FU ORME5 project "Raw Material Equivalents (RME) of Austrian foreign trade-update and analysis" - Austrian Federal Ministry of Agriculture, Forestry, Environment and Water Management [P-21012-G11]; DOC team fellowship of the Austrian Academy of Sciences (OAW) at the Institute of Social Ecology FX This work was supported through the ORME5 project "Raw Material Equivalents (RME) of Austrian foreign trade-update and analysis" funded by the Austrian Federal Ministry of Agriculture, Forestry, Environment and Water Management (P-21012-G11). Anke Schaffartzik is the recipient of a DOC team fellowship of the Austrian Academy of Sciences (OAW) at the Institute of Social Ecology. The authors thank Dominik Wiedenhofer for fruitful discussions and the anonymous reviewers for their questions and comments, which helped to improve the quality of this article. CR Alcantara V, 2004, ENERG POLICY, V32, P177, DOI 10.1016/S0301-4215(02)00263-X Alcott B, 2005, ECOL ECON, V54, P9, DOI 10.1016/j.ecolecon.2005.03.020 Ang BW, 2007, ENERG POLICY, V35, P739, DOI 10.1016/j.enpol.2005.12.004 Ang BW, 2007, ENERG POLICY, V35, P238, DOI 10.1016/j.enpol.2005.11.001 Ang BW, 2005, ENERG POLICY, V33, P867, DOI 10.1016/j.enpol.2003.10.010 Ang BW, 1997, ENERGY J, V18, P59 Ang BW, 2004, ENERG POLICY, V32, P1131, DOI 10.1016/S0301-4215(03)00076-4 Ang BW, 1999, ENERGY, V24, P297, DOI 10.1016/S0360-5442(98)00092-9 Ang BW, 2000, ENERGY, V25, P1149, DOI 10.1016/S0360-5442(00)00039-6 Ang BW, 2001, ENERGY, V26, P537, DOI 10.1016/S0360-5442(01)00022-6 Baiocchi G, 2010, ENVIRON SCI TECHNOL, V44, P1177, DOI 10.1021/es902662h Bruckner M, 2012, GLOBAL ENVIRON CHANG, V22, P568, DOI 10.1016/j.gloenvcha.2012.03.011 Dietzenbacher E., 1998, ECON SYST RES, V10, P307, DOI DOI 10.1080/09535319800000023 Eurostat, 2001, EC WID MAT FLOW ACC Eurostat, 2012, EC WID MAT FLOW ACC Fischer-Kowalski M, 2011, J IND ECOL, V15, P855, DOI 10.1111/j.1530-9290.2011.00366.x Fischer-Kowalski M., 2011, DECOUPLING NATURAL R Giljum S, 2014, RESOURCES-BASEL, V3, P319, DOI 10.3390/resources3010319 Gingrich S, 2011, ENERG POLICY, V39, P535, DOI 10.1016/j.enpol.2010.10.006 Guan D, 2008, GLOBAL ENVIRON CHANG, V18, P626, DOI 10.1016/j.gloenvcha.2008.08.001 Hashimoto S, 2008, J IND ECOL, V12, P657, DOI 10.1111/j.1530-9290.2008.00072.x Hoekstra R, 2002, ENVIRON RESOUR ECON, V23, P357, DOI 10.1023/A:1021234216845 Hoffren J., 2000, J IND ECOL, V4, P4 Jevons W. S., 1865, COAL QUESTION INQUIR Krausmann F, 2009, ECOL ECON, V68, P2696, DOI 10.1016/j.ecolecon.2009.05.007 Lenzen M., 2001, ECON SYST RES, V13, P65, DOI DOI 10.1080/09535310120026256 Martinez-Alier J, 2010, ECOL ECON, V69, P1741, DOI 10.1016/j.ecolecon.2010.04.017 Miller RE., 2009, INPUT OUTPUT ANAL FD Minx JC, 2011, ENVIRON SCI TECHNOL, V45, P9144, DOI 10.1021/es201497m Munoz P, 2008, ECOL ECON, V65, P136, DOI 10.1016/j.ecolecon.2007.06.010 OECD, 2012, SUST MAT MAN MAK BET Schaffartzik A, 2014, GLOBAL ENVIRON CHANG, V26, P87, DOI 10.1016/j.gloenvcha.2014.03.013 Schaffartzik A, 2014, J IND ECOL, V18, P102, DOI 10.1111/jiec.12055 Schoer K, 2012, ENVIRON SCI TECHNOL, V46, P8903, DOI 10.1021/es300434c Statistik Austria, 2013, VERBR 86 Statistik Austria, 2013, VERW BIP REAL Statistik Austria, 2012, STATCUBE STAT DAT Statistik Austria, 2012, MAT Steinberger JK, 2011, ENVIRON SCI TECHNOL, V45, P1169, DOI 10.1021/es1028537 Steinberger JK, 2010, ECOL ECON, V69, P1148, DOI 10.1016/j.ecolecon.2009.12.009 Su B, 2012, ENERG ECON, V34, P177, DOI 10.1016/j.eneco.2011.10.009 Tukker A., 2014, GLOBAL RESOURCE FOOT Vansden Bergh J., 2011, ECOLOGICAL EC, V70, P881 Victor P. A., 2008, MANAGING GROWTH SLOW Wachsmann U, 2009, APPL ENERG, V86, P578, DOI 10.1016/j.apenergy.2008.08.003 Weber CL, 2009, ENERG POLICY, V37, P1561, DOI 10.1016/j.enpol.2008.12.027 Weinzettel J, 2011, J IND ECOL, V15, P893, DOI 10.1111/j.1530-9290.2011.00378.x Weinzettel J, 2009, J IND ECOL, V13, P607, DOI 10.1111/j.1530-9290.2009.00144.x Weisz H., 2006, 87 IFF Wiedmann TO, 2015, P NATL ACAD SCI USA, V112, P6271, DOI 10.1073/pnas.1220362110 Wood R, 2006, ENERG POLICY, V34, P1326, DOI 10.1016/j.enpol.2004.11.010 Wood R, 2009, J IND ECOL, V13, P847, DOI 10.1111/j.1530-9290.2009.00177.x Wood R, 2009, ENERG POLICY, V37, P4943, DOI 10.1016/j.enpol.2009.06.060 World Bank, 2014, WORLD DEV IND GROSS World Bank, 2014, GROSS FIX CAP FORM G Zhang FQ, 2001, ENERG ECON, V23, P179, DOI 10.1016/S0140-9883(00)00069-4 NR 56 TC 7 Z9 7 U1 1 U2 15 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1088-1980 EI 1530-9290 J9 J IND ECOL JI J. Ind. Ecol. PD OCT PY 2015 VL 19 IS 5 SI SI BP 814 EP 824 DI 10.1111/jiec.12341 PG 11 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA CU1GG UT WOS:000363267800012 DA 2019-04-09 ER PT J AU Cawthorn, DM Hoffman, LC AF Cawthorn, Donna-Maree Hoffman, Louwrens C. TI The bushmeat and food security nexus: A global account of the contributions, conundrums and ethical collisions SO FOOD RESEARCH INTERNATIONAL LA English DT Article DE Bushmeat; Food security; Human livelihoods; Nutrition; Sustainability; Wild meat ID INTEGRATED CONSERVATION; TROPICAL FORESTS; PROTECTED AREA; NATIONAL-PARK; WILD FOODS; POPULATION-DENSITIES; DEVELOPMENT-PROJECTS; MBARACAYU RESERVE; AMAZONIAN FORESTS; NORTH SULAWESI AB Wild meat or 'bushmeat' has long served as a principal source of protein and a key contributor to the food security of millions of people across the developing world, most notably in Africa, Latin America and Asia. More recently, however, growing human populations, technological elaborations and the emergence of a booming commercial bushmeat trade have culminated in unprecedented harvest rates and the consequent decline of numerous wildlife populations. Most research efforts aimed at tackling this problem to date have been rooted in the biological disciplines, focused on quantifying the trade and measuring its level of destruction on wildlife and ecosystems. Comparatively little effort, on the other hand, has been expended on illuminating the role of bushmeat in human livelihoods and in providing alternative sources of food and income, as well as the infrastructure to make these feasible. This paper aims to shift the focus to the human dimension, emphasising the true contributions of bushmeat to food security, nutrition and well-being, while balancing this perspective by considering the far-reaching impacts of overexploitation. What emerges from this synthesis is that bushmeat management will ultimately depend on understanding and working with people, with any approaches focused too narrowly on biodiversity preservation running the risk of failure in the long term. If wildlife is to survive and be utilised in the future, there is undoubtedly a need to relax adherence to unswerving biocentric or anthropocentric convictions, to appreciate the necessity for certain trade-offs and to develop integrated and flexible approaches that reconcile the requirements of both the animals and the people. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Cawthorn, Donna-Maree; Hoffman, Louwrens C.] Univ Stellenbosch, Dept Anim Sci, ZA-7600 Matieland, South Africa. RP Cawthorn, DM (reprint author), Univ Stellenbosch, Dept Anim Sci, Private Bag X1, ZA-7600 Matieland, South Africa. EM DonnaC@sun.ac.za RI Cawthorn, Donna/J-5204-2015; Hoffman, Louwrens/U-8467-2018 OI Cawthorn, Donna/0000-0001-9469-7096; Hoffman, Louwrens/0000-0003-2736-1933 FU Department of Science and Technology (DST) FX South African Research Chair in Meat Science hosted by the University of Stellenbosch in partnership with the University of Fort Hare, funded by the Department of Science and Technology (DST) and administered by the National Research Foundation (NRF). CR Abernethy K., 2010, BUSHMEAT GABON VIAND Abernethy KA, 2013, PHILOS T R SOC B, V368, DOI 10.1098/rstb.2013.0494 Abu-Basutu K. N., 2013, THESIS RHODES U S AF Agrawal A, 1999, WORLD DEV, V27, P629, DOI 10.1016/S0305-750X(98)00161-2 Andresen E, 2007, BIOTROPICA, V39, P141, DOI 10.1111/j.1744-7429.2006.00239.x Anstey S., 1991, WILDLIFE UTILIZATION Arain M. A., 2010, Pakistan Journal of Nutrition, V9, P404 Babweteera F, 2007, BIOL CONSERV, V134, P40, DOI 10.1016/j.biocon.2006.08.002 Bahuchet S., 1999, HOMME FORET TROPICAL, P533 Bamett R., 2000, FOOD THOUGHT UTILIZA BARRETT CB, 1995, WORLD DEV, V23, P1073, DOI 10.1016/0305-750X(95)00031-7 Barrett CB, 1998, LAND ECON, V74, P449, DOI 10.2307/3146878 Bausch DG, 2014, PLOS NEGLECT TROP D, V8, DOI 10.1371/journal.pntd.0003056 Beaune D, 2013, FOREST ECOL MANAG, V295, P109, DOI 10.1016/j.foreco.2012.12.041 Beck Harald, 2005, P77, DOI 10.1079/9780851998060.0077 Becker M, 2013, BIOL CONSERV, V158, P26, DOI 10.1016/j.biocon.2012.08.017 Bennett E. L., 2002, HUNTING WILDLIFE TRA Bennett E. L., 2000, BIODIVERSITY SERIES Bennett EL, 2002, CONSERV BIOL, V16, P590, DOI 10.1046/j.1523-1739.2002.01637.x Bennett EL, 2007, CONSERV BIOL, V21, P884, DOI 10.1111/j.1523-1739.2006.00595.x Bennett Elizabeth L., 2002, Occasional Papers of the IUCN Species Survival Commission, V24, P39 Bharucha Z, 2010, PHILOS T R SOC B, V365, P2913, DOI 10.1098/rstb.2010.0123 Blake S, 2009, BIOTROPICA, V41, P459, DOI 10.1111/j.1744-7429.2009.00512.x Bodmer R, 2000, BIOL RESOURCE MANAGE, P395 BODMER RE, 1991, BIOTROPICA, V23, P255, DOI 10.2307/2388202 Bokhorst J., 2010, THESIS U AMSTERDAM N Bouche P, 2012, ENVIRON MONIT ASSESS, V184, P7001, DOI 10.1007/s10661-011-2475-y Bowen-Jones E., 2002, ASSESSMENT SOLUTION Brashares JS, 2004, SCIENCE, V306, P1180, DOI 10.1126/science.1102425 Brashares JS, 2011, P NATL ACAD SCI USA, V108, P13931, DOI 10.1073/pnas.1011526108 Brown D, 2007, CONSERV SCI PRACT, V2, P111 Brown T, 2007, CONSERV SCI PRACT, V2, P92 Caldironi HA, 2006, J FOOD COMPOS ANAL, V19, P711, DOI 10.1016/j.jfca.2005.09.005 Campos-Arceiz A, 2011, ACTA OECOL, V37, P542, DOI 10.1016/j.actao.2011.01.014 Cawthorn D. M., 2014, Animal Frontiers, V4, P6, DOI 10.2527/af.2014-0027 Cemea M. M., 2006, WORLD DEV, V34, P1808 Ceppi S. L., 2014, Tropical Conservation Science, V7, P272 Chaber AL, 2010, CONSERV LETT, V3, P317, DOI 10.1111/j.1755-263X.2010.00121.x Chacon R. J., 2011, ETHICS ANTHR AMERIND, P311 Chapin C. F. S., 1999, ISSUES ECOLOGY, V4, P1 Christensen J., 2004, CONSERVATION PRACTIC, V5, P12, DOI DOI 10.1111/J.1526-4629.2004.TB00079.X Coad L, 2010, CONSERV BIOL, V24, P1510, DOI 10.1111/j.1523-1739.2010.01525.x Colding J, 2001, ECOL APPL, V11, P584 Colding J., 1997, ECOLOGY SOC, V1, P6, DOI DOI 10.5751/ES-00018-010106 Corlett RT, 2007, BIOTROPICA, V39, P292, DOI 10.1111/j.1744-7429.2007.00271.x Costanza R., 2007, SUSTAINABILITY COLLA Cowlishaw G, 2005, J APPL ECOL, V42, P460, DOI 10.1111/j.1365-2664.2005.01046.x Cullen L, 2000, BIOL CONSERV, V95, P49, DOI 10.1016/S0006-3207(00)00011-2 de Merode E, 2004, BIOL CONSERV, V118, P573, DOI 10.1016/j.biocon.2003.10.005 de Merode E, 2006, CONSERV BIOL, V20, P1262, DOI 10.1111/j.1523-1739.2006.00425.x de Moreno LA, 2000, ARCH LATINOAM NUTR, V50, P409 Delvingt W., 2001, La foret des hommes: terroirs villageois en foret tropicale africaine, P65 Diaz S, 2006, PLOS BIOL, V4, P1300, DOI 10.1371/journal.pbio.0040277 Draulans D, 2002, ORYX, V36, P35, DOI [10.1017/S0030605302000066, 10.1017/S0030605301000011] Drury Rebecca, 2011, Conservation & Society, V9, P247, DOI 10.4103/0972-4923.86995 EFSA (European Food Safety Authority), 2014, EFSA J, V12, P3884, DOI DOI 10.2903/J.EFSA.2014.3884 Egbe S., 2000, COMMUNITIES WILDLIFE Espinosa MC, 2008, J DEV SOC, V24, P489, DOI 10.1177/0169796X0902400404 Estes J. A., 2010, TROPHIC CASCADES PRE Etiendem DN, 2011, ECOL SOC, V16, DOI 10.5751/ES-04182-160322 Eves H. E., 2002, LINKS BIODIVERSITY C, P73 Fa J. E., 2001, Animal Biodiversity and Conservation, V24, P31 Fa J. E., 2015, CONSERVATIO IN PRESS Fa JE, 2005, BIOL CONSERV, V121, P167, DOI 10.1016/j.biocon.2004.04.016 FA JE, 1995, CONSERV BIOL, V9, P1107 Fa JE, 2002, CONSERV BIOL, V16, P232, DOI 10.1046/j.1523-1739.2002.00275.x Fa JE, 2003, ENVIRON CONSERV, V30, P71, DOI 10.1017/S0376892903000067 Fa JE, 2000, BIOL RESOURCE MANAGE, P168 Fa JE, 2000, CONSERV BIOL, V14, P1602, DOI 10.1046/j.1523-1739.2000.99067.x Fa JE, 2006, BIOL CONSERV, V129, P497, DOI 10.1016/j.biocon.2005.11.031 Fa JE, 2015, SCI REP-UK, V5, DOI 10.1038/srep08168 Fa JE, 2009, MAMMAL REV, V39, P231, DOI 10.1111/j.1365-2907.2009.00149.x Falk H, 2013, REV SCI TECH OIE, V32, P727 FAO, 2014, STAT WORLD FISH AQ 2 FAO, 2014, STAT FOOD INS WORLD FAO/CIG (Food and Agricultural Organization/Conservation International Ghana), 2002, ASS BUSHM TRAD ANN C FAO (Food and Agriculture Organization), 2013, COMM GEN RES FOOD AG FAO/ITTO (Food and Agriculture Organization of the United Nations/International Tropical Timber Organization), 2011, REP PREP SUMM 3 RAIN FAO/WHO (Food and Agriculture Organization/World Health Organization), 2007, PROT AM AC REQ HUM N Fimbel C, 2000, BIOL RESOURCE MANAGE, P356 Fisher B., 2006, ECOLOGICAL EC, V62, P93 Fitzgibbon CD, 2000, BIOL RESOURCE MANAGE, P154 Food and Agriculture Organization, 1996, ROM DECL WORLD FOOD Fragoso J. M., 1994, THESIS U FLORIDA FLO Frazer J. G., 2012, GOLDEN BOUGH SPIRITS, V8 Gandiwa E, 2011, TROP CONSERV SCI, V4, P445, DOI 10.1177/194008291100400407 GIBSON CC, 1995, WORLD DEV, V23, P941, DOI 10.1016/0305-750X(95)00025-8 Godoy R, 2009, ANIM CONSERV, V13, P265 Golden CD, 2011, P NATL ACAD SCI USA, V108, P19653, DOI 10.1073/pnas.1112586108 Golden CD, 2009, ORYX, V43, P386, DOI 10.1017/S0030605309000131 Gurr T. R., 2000, PEACE CONFLICT GLOBA Hackel JD, 1999, CONSERV BIOL, V13, P726, DOI 10.1046/j.1523-1739.1999.98210.x HARDIN G, 1968, SCIENCE, V162, P1243 Harrison RD, 2011, BIOSCIENCE, V61, P919, DOI 10.1525/bio.2011.61.11.11 Hart JA, 2000, BIOL RESOURCE MANAGE, P106 Hatton J., 2001, BIODIVERSITY WAR CAS Hayes K., 2003, COLTAN MINING DEMOCR Hill K, 2003, CONSERV BIOL, V17, P1312, DOI 10.1046/j.1523-1739.2003.01135.x Hill K, 2000, BIOL RESOURCE MANAGE, P79 Hoffman LC, 2010, S AFR J ANIM SCI, V40, P221 Hoffman LC, 2009, MEAT SCI, V83, P788, DOI 10.1016/j.meatsci.2009.08.022 HOFFMAN L.C., 2012, ANIM FRONT, V2, P40, DOI DOI 10.2527/AF.2012-0061 Hoffman L. C., 2000, J SCI FOOD AGR, V80, P1 Hoffman LC, 2004, J SCI FOOD AGR, V84, P1541, DOI 10.1002/jsfa.1813 Hoffman LC, 2013, MEAT SCI, V95, P764, DOI 10.1016/j.meatsci.2013.04.027 Holmern T, 2002, ORYX, V36, P364, DOI [10.1017/S0030605302000716, 10.1017/S00300605302000716] Holmes G, 2007, CONSERV SOC, V5, P184 Ilea RC, 2009, J AGR ENVIRON ETHIC, V22, P153, DOI 10.1007/s10806-008-9136-3 Inamdar A., 1999, NATURAL RESOURCE PER, V44 Inogwabini BI, 2014, ENVIRON BIOL FISH, V97, P787, DOI 10.1007/s10641-013-0179-6 Isaac NJB, 2004, P ROY SOC B-BIOL SCI, V271, P1135, DOI 10.1098/rspb.2004.2724 Jambiya G., 2007, CONSERVATION IMPLICA Jerozolimski A, 2003, BIOL CONSERV, V111, P415, DOI 10.1016/S0006-3207(02)00310-5 Kamins A. O., 2014, ECOHEALTH IN PRESS Karanth KK, 2010, P ROY SOC B-BIOL SCI, V277, P1971, DOI 10.1098/rspb.2010.0171 Kaschula SA, 2008, POPUL ENVIRON, V29, P162, DOI 10.1007/s11111-008-0068-7 Kim JH, 2008, ASIAN AUSTRAL J ANIM, V21, P138, DOI 10.5713/ajas.2008.70208 Kissui BM, 2008, ANIM CONSERV, V11, P422, DOI 10.1111/j.1469-1795.2008.00199.x Kumpel NF, 2007, CONSERV SCI PRACT, V2, P73 Kumpel N. F., 2006, THESIS IMPERIAL COLL Kumpel NF, 2010, HUM ECOL, V38, P251, DOI 10.1007/s10745-010-9316-4 Lahm Sally A., 2001, P344 Laporte NT, 2007, SCIENCE, V316, P1451, DOI 10.1126/science.1141057 Le Bel S., 2004, Game & Wildlife Science, V21, P275 Le Bel S, 2013, S AFR J WILDL RES, V43, P103, DOI 10.3957/056.043.0201 LeBreton M, 2006, ANIM CONSERV, V9, P357, DOI 10.1111/j.1469-1795.2006.00030.x Lee RJ, 2005, BIOL CONSERV, V123, P477, DOI 10.1016/j.biocon.2005.01.009 Lee RJ, 2000, BIOL RESOURCE MANAGE, P455 Lindsey P, 2012, ILLEGAL HUNTING BUSH Lindsey PA, 2011, ORYX, V45, P96, DOI [10.1017/S0030605310000153, 10.1017/50030605310000153] Lindsey PA, 2011, ORYX, V45, P84, DOI 10.1017/S0030605310001274 Lindsey PA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0094109 Lindsey PA, 2013, BIOL CONSERV, V160, P80, DOI 10.1016/j.biocon.2012.12.020 Loucks C, 2009, CONSERV LETT, V2, P82, DOI 10.1111/j.1755-263X.2008.00044.x Lowassa A, 2012, J RURAL STUD, V28, P622, DOI 10.1016/j.jrurstud.2012.06.002 Madhusudan MD, 2000, BIOL RESOURCE MANAGE, P339 Maisels F, 2001, ORYX, V35, P322, DOI 10.1046/j.1365-3008.2001.00204.x Malaisse F., 2010, LIVE SURVIVE ZAMBEZI Manfredo M. J., 2009, WHO CARES WILDLIFE S Mbete RA, 2011, TROP CONSERV SCI, V4, P187, DOI 10.1177/194008291100400207 Mbotiji J., 2002, 5 FAO McConkey KR, 2006, ECOLOGY, V87, P271, DOI 10.1890/05-0386 McGarry D., 2008, THESIS RHODES U S AF McShane T. O., 2004, GETTING BIODIVERSITY, P49 McShane TO, 2011, BIOL CONSERV, V144, P966, DOI 10.1016/j.biocon.2010.04.038 MEA Millenium Ecosystem Assessment, 2005, EC HUM WELL BEING BI Mena P, 2000, BIOL RESOURCE MANAGE, P57 Mfunda Iddi M., 2010, International Journal of Biodiversity and Conservation, V2, P263 Miller TR, 2011, BIOL CONSERV, V144, P948, DOI 10.1016/j.biocon.2010.04.001 MILLS LS, 1993, BIOSCIENCE, V43, P219, DOI 10.2307/1312122 Milner-Gulland EJ, 2003, TRENDS ECOL EVOL, V18, P351, DOI 10.1016/S0169-5347(03)00123-X Minteer Ben A., 2013, P77 Mockrin M. H., 2005, 23 WCS Muboko N, 2014, PACHYDERM, P92 Nackoney J, 2014, BIOL CONSERV, V170, P321, DOI 10.1016/j.biocon.2013.12.033 Nadakavukaren A., 2011, OUR GLOBAL ENV HLTH Nasi R, 2011, INT FOREST REV, V13, P355, DOI 10.1505/146554811798293872 Nasi R., 2010, ITTO Tropical Forest Update, V20, P19 Nasi R., 2008, CONSERVATION USE WIL Newmark WD, 2000, BIOSCIENCE, V50, P585, DOI 10.1641/0006-3568(2000)050[0585:CWIAIC]2.0.CO;2 Nielsen MR, 2015, ENVIRON CONSERV, V42, P61, DOI 10.1017/S0376892914000198 Nielsen MR, 2006, BIOL CONSERV, V128, P509, DOI 10.1016/j.biocon.2005.10.017 Noss A, 2000, BIOL RESOURCE MANAGE, P282 Ntiamoa-Baidu Y., 1987, Unasylva, V39, P27 Ntiamoa-Baidu Y., 1997, WILDLIFE FOOD SECURI Nunez-Iturri G, 2007, BIOTROPICA, V39, P348, DOI 10.1111/j.1744-7429.2007.00276.x Nyaki A, 2014, CONSERV BIOL, V28, P1403, DOI 10.1111/cobi.12316 O'Brien TG, 2000, BIOL RESOURCE MANAGE, P199 Obioha E. E., 2012, Journal of Human Ecology, V38, P49 Ogada DL, 2014, ANN NY ACAD SCI, V1322, P1, DOI 10.1111/nyas.12405 Ohl-Schacherer J, 2007, CONSERV BIOL, V21, P1174, DOI 10.1111/j.1523-1739.2007.00759.x Okiwelu S. N., 2010, SCI AFRICANA, V9, P18 Onyango CA, 1998, MEAT SCI, V49, P117, DOI 10.1016/S0309-1740(97)00116-2 Oyarekua M. A., 2010, J FOOD SCI TECHNOLOG, V2, P318 PAINE RT, 1969, AM NAT, V103, P91, DOI 10.1086/282586 PAINE RT, 1966, AM NAT, V100, P65, DOI 10.1086/282400 Parry L, 2014, CONSERV LETT, V7, P565, DOI 10.1111/conl.12151 Pearce F., 2005, CONSERVATION PRACTIC, V6, P117 Peres CA, 2000, CONSERV BIOL, V14, P240, DOI 10.1046/j.1523-1739.2000.98485.x Peres CA, 2000, BIOL RESOURCE MANAGE, P31 Peres CA, 2000, OECOLOGIA, V122, P175, DOI 10.1007/s004420051003 Peres CA, 2007, BIOTROPICA, V39, P304, DOI 10.1111/j.1744-7429.2007.00272.x Pinstrup-Andersen P, 2009, FOOD SECUR, V1, P5, DOI 10.1007/s12571-008-0002-y Piwoz EG, 2005, J NUTR, V135, P933 Poppy GM, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2012.0272 Poulsen JR, 2011, ECOL APPL, V21, P1819, DOI 10.1890/10-1083.1 Poulsen JR, 2009, CONSERV BIOL, V23, P1597, DOI 10.1111/j.1523-1739.2009.01251.x Redford Kent H., 2001, Conservation Biology Series (Cambridge), V6, P370 REDFORD KH, 1992, BIOSCIENCE, V42, P412, DOI 10.2307/1311860 Redmond I., 2006, RECIPES SURVIVAL CON Rentsch D, 2013, ECOL ECON, V91, P1, DOI 10.1016/j.ecolecon.2013.03.021 Robinson E.J.Z., 2010, J NATURAL RESOURCES, V2, P25, DOI DOI 10.1080/19390450903350820 Robinson JG, 1999, SCIENCE, V284, P595, DOI 10.1126/science.284.5414.595 Robinson JG, 2002, ORYX, V36, P332, DOI 10.1017/S0030605302000662 Robinson JG, 2000, BIOL RESOURCE MANAGE, P13 Robinson JG, 2011, BIOL CONSERV, V144, P958, DOI 10.1016/j.biocon.2010.04.017 Rodriguez-Lazaro D., 2014, INT J FOOD IN PRESS Roe D., 2009, COMMUNITY MANAGEMENT Roe D., 2006, POLICY MATTERS, V14, P2006 Rowcliffe JM, 2005, TRENDS ECOL EVOL, V20, P274, DOI 10.1016/j.tree.2005.03.007 Saadoun A, 2008, MEAT SCI, V80, P570, DOI 10.1016/j.meatsci.2008.03.027 Schenck M, 2006, HUM ECOL, V34, P433, DOI 10.1007/s10745-006-9025-1 Schoder D., 2014, INT J FOOD IN PRESS Sergio F, 2008, ANNU REV ECOL EVOL S, V39, P1, DOI 10.1146/annurev.ecolsys.39.110707.173545 Smil V, 2002, POPUL DEV REV, V28, P599, DOI 10.1111/j.1728-4457.2002.00599.x Smith KM, 2012, PLOS ONE, V7, P71, DOI 10.1371/journal.pone.0029505 Songorwa AN, 2000, NAT RESOUR J, V40, P603 Starkey M., 2004, THESIS CAMBRIDGE U U Stoner KE, 2007, BIOTROPICA, V39, P316, DOI 10.1111/j.1744-7429.2007.00292.x Strazdina Vita, 2013, Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences, V67, P373, DOI 10.2478/prolas-2013-0074 Suarez E, 2009, ANIM CONSERV, V12, P364, DOI 10.1111/j.1469-1795.2009.00262.x Subramanian M, 2012, ECOHEALTH, V9, P471, DOI 10.1007/s10393-012-0807-1 Sunderland TCH, 2011, INT FOREST REV, V13, P265, DOI 10.1505/146554811798293908 Swamy V., 2014, 114 CIFOR BOGOR Taylor G, 2015, BIOL CONSERV, V181, P199, DOI 10.1016/j.biocon.2014.11.001 Terborgh J, 2001, SCIENCE, V294, P1923, DOI 10.1126/science.1064397 Terborgh J, 2013, BIOL CONSERV, V163, P7, DOI 10.1016/j.biocon.2013.01.015 Thibault M, 2003, CONSERV BIOL, V17, P1807, DOI 10.1111/j.1523-1739.2003.00159.x Thompson B, 2011, COMBATING MICRONUTRIENT DEFICIENCIES: FOOD-BASED APPROACHES, P1 TIEGUHONG J. C., 2009, J HORTICULTURE FORES, V1, P65 Tollens E., 2010, POTENTIAL IMPACTS AG Townsend WR, 2000, BIOL RESOURCE MANAGE, P267 Treweek J. R., 2006, Impact Assessment and Project Appraisal, V24, P299, DOI 10.3152/147154606781765057 Tulley Richard T., 2000, Journal of Food Composition and Analysis, V13, P117, DOI 10.1006/jfca.1999.0865 UNDESA, 2014, WORLD URB PROSP 2014 Van Vliet N., 2011, TECHNICAL SERIES SCB, V60 Van Vliet N., 2008, THESIS U TOULOUSE MI van Vliet N, 2007, AFR J ECOL, V45, P440, DOI 10.1111/j.1365-2028.2007.00783.x van Vliet N, 2012, ORYX, V46, P196, DOI 10.1017/S0030605311000202 van Vliet N, 2011, NON-TIMBER FOREST PRODUCTS IN THE GLOBAL CONTEXT, P129, DOI 10.1007/978-3-642-17983-9_6 van Vliet Nathalie, 2011, Human Dimensions of Wildlife, V16, P45, DOI 10.1080/10871209.2010.523924 van Vliet N, 2008, ECOL SOC, V13 Vinceti B, 2013, SUSTAINABILITY-BASEL, V5, P4797, DOI 10.3390/su5114797 Waite TA, 2007, ENVIRON MANAGE, V40, P476, DOI 10.1007/s00267-006-0207-9 Walsh PD, 2003, NATURE, V422, P611, DOI 10.1038/nature01566 Wells M, 2004, AMBIO, V33, P513, DOI 10.1639/0044-7447(2004)033[0513:IPAMWL]2.0.CO;2 Wicander S., 2015, LEARNING OUR LESSONS Wilkie D, 2000, CONSERV BIOL, V14, P1614, DOI 10.1046/j.1523-1739.2000.99102.x Wilkie DS, 2011, ANN NY ACAD SCI, V1223, P120, DOI 10.1111/j.1749-6632.2010.05908.x Wilkie DS, 2005, CONSERV BIOL, V19, P268, DOI 10.1111/j.1523-1739.2005.00372.x Williams P, 2007, NUTR DIET, V64, pS113, DOI 10.1111/j.1747-0080.2007.00197.x Williamson D., 2002, LINKS BIODIVERSITY C, P19 Wittemyer G, 2008, SCIENCE, V321, P123, DOI 10.1126/science.1158900 Wright Juliet H., 2010, Endangered Species Research, V11, P1, DOI 10.3354/esr00244 Wright SJ, 2007, BIOTROPICA, V39, P289, DOI 10.1111/j.1744-7429.2007.00293.x Wright SJ, 2003, PERSPECT PLANT ECOL, V6, P73, DOI 10.1078/1433-8319-00043 NR 246 TC 16 Z9 18 U1 2 U2 79 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0963-9969 EI 1873-7145 J9 FOOD RES INT JI Food Res. Int. PD OCT PY 2015 VL 76 SI SI BP 906 EP 925 DI 10.1016/j.foodres.2015.03.025 PN 4 PG 20 WC Food Science & Technology SC Food Science & Technology GA CT2GA UT WOS:000362618800004 DA 2019-04-09 ER PT J AU [Anonymous] AF [Anonymous] TI Overview of global biofuels landscape SO INTERNATIONAL SUGAR JOURNAL LA English DT Article DE biofuels; ethanol; biodiesel; global output; blend mandates; biogas AB Liquid biofuel production was up 9% in 2014, reaching its highest level to date. Although the United States and Brazil dominated overall volume, Asia experienced particularly high production growth rates. Policy positively influenced biofuel markets where blending mandates increased demand, but policy uncertainty, particularly in Europe, the United States and Australia, had negative effects on industry. Low oil prices in the second half of the year had some positive effects, particularly in feedstock production, but reduced turnover for some bioenergy businesses. Trade patterns in both solid and liquid fuels saw some shifts in 2014, with a considerable share of North American wood pellets flowing to Asia, reducing the domination of flows to European markets. The share of traded biofuels destined for Europe declined slightly, while new markets (particularly for fuel ethanol) expanded in other regions. The majority of transport-related policies continued to focus on the biofuel sector and on road transport, although other modes of transportation also are attracting attention. Policies promoting the linkage between electric vehicles and renewable energy have received little focus to date. As of early 2015, biofuel blend mandates were in place in 33 countries, with 31 national mandates and 26 state/provincial mandates. A number of countries strengthened existing blend mandates in 2014; however, the debate over the sustainability of first-generation biofuels continued. There has also been a significant global expansion biogas production involving investment in new plants. CR Anderson-Sprecher Andrew, 2014, BIOFUELS ANN PEOPLES [Anonymous], 2014, AUSTR BIOF 2014 15 [Anonymous], 2014, BIOFUELS BAROMETER 2 [Anonymous], 2014, OBSERVER [Anonymous], 2014, THE NORDIC PAGE 1119 [Anonymous], 2015, BIODIESEL MAGAZ 0310 Bakkilainen Esa, 2013, LARGE IND USERS ENER Berg C., WORLD FUEL ETHANOL A Bravo Gonzalo, 2015, COMMUNICATION Conab Corporativa, 2015, PROD CAN POD ALC 654 Dessureault Darlene, 2014, 2014 BIOFUELS ANN CA Electrigaz, 2015, BIOG FAQ EurObserv'ER, 2014, BIOFUELS BAROMET JUL, P12 Frankfurt School-UNEP Centre/BNEF, 2015, GLOB TRENDS REN EN I Germany from German Ministry for Economics and Energy (BMWi), 2015, REN EN 2014 Hamelinck Carlo, 2015, COMMUNICATION IEA Bioenergy Task 42, 2014, NETH COUNTR REP 2014 Italy from Natural and Bio Gas Vehicle Association, 2015, STATISTICS Kopetz Heinz, 2015, COMMUNICATIONS Lane J., 2014, BIOFUELS DIGEST 1231 Lane Jim, 2014, BIOFUELS DIGEST 0418 Licht F.O., 2015, FUEL ETHANOL WORLD P Licht F.O., 2015, BIODIESEL WORLD PROD Licht F.O., 2015, WORLD ETHANOL BIOFUE McCarty Dawn, 2014, RENEWABLE ENERGY WOR Ministerio de Minas e Energia, 2015, B MEN COMB REN Netherlands from USDA GAIN, 2015, NETH LEG BIOM SUST C Pauka Charles, 2014, TRANSPORT LOGIS 1204 Preechajarn Sakchai, 2014, BIOFUELS ANN 2014 TH REN21, 2015, REN 2015 GLOB STAT R Renewable Fuels Association (RFA), 2015, 2015 ETH IND OUTL RFA, 2015, BIOR LOC Rose A., 2014, REUTERS Serfass Patrick, STATE US BIOGAS IND United Nations Conference on Trade and Development (UNCTAD), STAT BIOF MARK Voegele E., 2013, BIOMASS MAGAZINE Voegele Erin, 2015, BIODIESEL MAGAZ 0127 Wachira Charles, 2015, BLOOMBERG World Bank, 2015, GLOB EC COMM DAT World Bioenergy Association, 2015, OIL PRIC DROP ITS EF Zawadzski Sabina, 2014, REUTERS NR 41 TC 0 Z9 0 U1 2 U2 20 PU INT SUGAR JOURNAL LTD PI KENT PA 80 CALVERLEY, TUNBRIDGE WELLS, KENT TN1 2UN, WALES SN 0020-8841 J9 INT SUGAR J JI Int. Sugar J. PD OCT PY 2015 VL 117 IS 1402 BP 710 EP + PG 7 WC Agronomy; Food Science & Technology SC Agriculture; Food Science & Technology GA CT3FP UT WOS:000362692900033 DA 2019-04-09 ER PT J AU Allen, MG AF Allen, Matthew G. TI Framing food security in the Pacific Islands: empirical evidence from an island in the Western Pacific SO REGIONAL ENVIRONMENTAL CHANGE LA English DT Article DE Food security; Sustainability; Resilience; Agriculture; Island Melanesia; The Pacific Islands ID SOCIAL-ECOLOGICAL SYSTEMS; HUMAN-ENVIRONMENT SYSTEM; VULNERABILITY; RESILIENCE; GLOBALIZATION; BELLONA AB Food security on Malo Island in Vanuatu is examined. All trade between Malo and the outside world passes through a beach on the neighboring island. Data collected there, and on Malo itself, during a long period of fieldwork in 1997-with a short follow-up in 2007-are used to describe the island's food system qualitatively and in terms of energy availability. The data indicate that 20 % of calories come from food imports, which could be easily substituted with surplus subsistence production in most years. The food system is then analyzed in terms of food security, with consideration given to past and present food systems in the context of economic and climatic variability. The contemporary food system is found to be not only resilient, but far more so than that which existed prior to the commencement of sustained contact with Europeans from around the turn of the twentieth century. While there is some localized pressure on land caused by the dual drivers of population growth and extensive cash cropping, Malo people have been finding innovative solutions that have adapted "traditional" practices and institutions. These findings demonstrate that not all Pacific Islands fit the portrayal of the Pacific as an undifferentiated region characterized by vulnerability and food insecurity. They also demonstrate the importance of social resilience, in this case the adaptive capacity of traditional practices and institutions, to the sustainability of social-ecological systems. The article concludes with reflections on the policy and ethical challenges posed by the "Pacific food insecurity narrative.". C1 ANU Coll Asia & Pacific, State Soc & Governance Melanesia Program, Sch Int Strateg & Polit Studies, Acton, ACT 0200, Australia. RP Allen, MG (reprint author), ANU Coll Asia & Pacific, State Soc & Governance Melanesia Program, Sch Int Strateg & Polit Studies, Acton, ACT 0200, Australia. EM matthew.allen@anu.edu.au OI Allen, Matthew/0000-0003-3490-9960 FU Government of France; Australian National University FX I am grateful to Mike Bourke, Sango Mahanty, Keith Barney, Rebecca Monson, Timothy Sharp, and two anonymous reviewers for constructive feedback on earlier drafts and to the guest editors for inviting me to contribute to the Special Issue. Funding for this research was supported by the Government of France and The Australian National University. CR Akus W, 2001, P PAP NEW GUIN FOOD, P834 Allen B.J., 2001, P PAP NEW GUIN FOOD, P155 Allen BJ, 1995, PLEC NEWS VIEWS, V5, P15 Allen MG, 2001, THESIS AUSTR NATL U Anderies JM, 2004, ECOL SOC, V9 Barnett J, 2011, REG ENVIRON CHANGE, V11, pS229, DOI 10.1007/s10113-010-0160-2 Berkes F., 1998, LINKING SOCIAL ECOLO Birch-Thomsen T, 2010, SINGAPORE J TROP GEO, V31, P27, DOI 10.1111/j.1467-9493.2010.00383.x BOHLE HG, 1994, GLOBAL ENVIRON CHANG, V4, P37, DOI 10.1016/0959-3780(94)90020-5 Bourke RM, 1990, PACIFIC PRODUCTION S, P148 Bourke RM, 2001, P PAP NEW GUIN FOOD, P5 Bourke RM, 1999, DEV B, V49, P40 Brookfeld H. C., 1972, Pacific Viewpoint, V13, P30 Campbell J, 2009, SHIMA, V3, P85 Conklin HC, 1957, 12 FAO UN FOR DEV, V12 Connell J., 2013, ISLANDS RISK ENV EC Connell J, 2007, SINGAPORE J TROP GEO, V28, P116, DOI 10.1111/j.1467-9493.2007-00284.x Curry GN, 2003, ECON GEOGR, V79, P405 Ericksen PJ, 2008, GLOBAL ENVIRON CHANG, V18, P234, DOI 10.1016/j.gloenvcha.2007.09.002 Ericksen PJ, 2008, ECOL SOC, V13 FAO, 2008, CLIM CHANG FOOD SEC FAO, 2002, STAT FOOD INS WORLD Fazey I, 2011, GLOBAL ENVIRON CHANG, V21, P1275, DOI 10.1016/j.gloenvcha.2011.07.006 Feeney S, 2013, 20132 SSGM Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002 Fry G, 1997, CONTEMP PACIFIC, V9, P305 GALLOPIN GC, 1989, INT SOC SCI J, V41, P375 Gallopin GC, 2006, GLOBAL ENVIRON CHANG, V16, P293, DOI 10.1016/j.gloenvcha.2006.02.004 Gibson J, 2001, P PAP NEW GUIN FOOD, P407 gnan C. A., 1994, PACIFIC ISLANDS FOOD Gough KV, 2010, SINGAPORE J TROP GEO, V31, P1, DOI 10.1111/j.1467-9493.2010.00382.x Guillaumont P, 2010, J DEV STUD, V46, P828, DOI 10.1080/00220381003623814 Hamnet MR, 1981, E W PERSPECT, V2, P6 HAUOFA E, 1994, CONTEMP PACIFIC, V6, P147 Hughes RG, 2005, ASIA PAC J CLIN NUTR, V14, P298 Inape K, 2001, P PAP NEW GUIN FOOD, P73 Jolly M, 2007, CONTEMP PACIFIC, V19, P508, DOI 10.1353/cp.2007.0054 McGee TG, 1975, FOOD DEPENDENCY PACI McGregor A, 2009, PAC ECON BULL, V24, P24 Ostrom E, 1990, GOVERNING COMMONS EV Pacific Islands Forum Secretariat, 2011, FOR EC MIN M AP SAM Quantin P, 1981, ATLAS SOLS QUELQUE D Reenberg A, 2008, HUM ECOL, V36, P807, DOI 10.1007/s10745-008-9199-9 Reserve Bank of Vanuatu, 2013, Q EC REV JUN Rubinstein RL, 1978, THESIS U MICROFILMS Sahlins M, 1999, J ROY ANTHROPOL INST, V5, P399, DOI 10.2307/2661275 Schwarz AM, 2011, GLOBAL ENVIRON CHANG, V21, P1128, DOI 10.1016/j.gloenvcha.2011.04.011 Scott S, 2012, VANUATU NATL LEASING SHINEBERG D, 1999, PEOPLE TRADE PACIFIC SPC, 2013, FOOD SECURITY Thaman R. R., 1990, FOOD NUTR FIJI HIST, P23 Turner BL, 2003, P NATL ACAD SCI USA, V100, P8080, DOI 10.1073/pnas.1231334100 United Nations, 1996, SUST HUM DEV VAN Vanuatu National Statistics Office, 2010, 2009 POP HOUS CENS B, V1 Votaw G, 1992, ENV DEV PACIFIC ISLA Walker B, 2002, CONSERV ECOL, V6 Walter A., 1999, J AGR TRADIT BOT APP, V41, P33 WATTS MJ, 1989, PROG HUM GEOG, V13, P1, DOI 10.1177/030913258901300101 Weightman B, 1989, AGR VANUATU WHO, 1979, HLTH ASP FOOD NUTR Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004 NR 61 TC 10 Z9 10 U1 3 U2 38 PU SPRINGER HEIDELBERG PI HEIDELBERG PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY SN 1436-3798 EI 1436-378X J9 REG ENVIRON CHANGE JI Reg. Envir. Chang. PD OCT PY 2015 VL 15 IS 7 SI SI BP 1341 EP 1353 DI 10.1007/s10113-014-0734-5 PG 13 WC Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology GA CS1MR UT WOS:000361830600016 DA 2019-04-09 ER PT J AU Van Loo, EJ Caputo, V Nayga, RM Seo, HS Zhang, BY Verbeke, W AF Van Loo, Ellen J. Caputo, Vincenzina Nayga, Rodolfo M., Jr. Seo, Han-Seok Zhang, Baoyue Verbeke, Wim TI Sustainability labels on coffee: Consumer preferences, willingness-to-pay and visual attention to attributes SO ECOLOGICAL ECONOMICS LA English DT Article DE Eye-tracking; Fair trade; Sustainable certified coffee; Sustainability labels; Visual attention; Willingness-to-pay ID FAIR-TRADE COFFEE; FRONT-OF-PACK; EYE-TRACKING; NUTRITION INFORMATION; FOOD-PRODUCTS; CHOICE EXPERIMENT; FISH CONSUMPTION; YOGURT LABELS; INVOLVEMENT; ATTITUDES AB Sustainability labels are important tools that help consumers assess the sustainability aspects of food. While past studies have focused on visual attention to nutrition information, no study has investigated the visual attention paid by consumers to the sustainability information on food. Our study contributes to the need to better understand consumers' attention to sustainability information when making food choices. The objective was to explore the importance that consumers attach to sustainability attributes and investigate how this relates to the visual attention paid to these attributes during the choice decision and to willingness-to-pay (WTP). Visual attention during the decision making process was measured in terms of fixation time and fixation count, which were then analyzed in relation to the stated attribute importance. Our results suggest that consumer segments with differences in stated attribute importance, visually attend differently to these attributes. Higher valued attributes also exhibited higher visual attention. Our results suggest that consumers who spend more time attending to and fixate more on sustainability attributes value them more. (C) 2015 Elsevier B.V. All rights reserved. C1 [Van Loo, Ellen J.; Verbeke, Wim] Univ Ghent, Dept Agr Econ, B-9000 Ghent, Belgium. [Caputo, Vincenzina; Nayga, Rodolfo M., Jr.] Korea Univ, Dept Food & Resource Econ, Seoul, South Korea. [Nayga, Rodolfo M., Jr.] Univ Arkansas, Dept Agr Econ & Agribusiness, Fayetteville, AR 72701 USA. [Seo, Han-Seok; Zhang, Baoyue] Univ Arkansas, Dept Food Sci, Fayetteville, AR 72704 USA. [Nayga, Rodolfo M., Jr.] Norwegian Inst Bioecon Res, Oslo, Norway. RP Van Loo, EJ (reprint author), Univ Ghent, Dept Agr Econ, Coupure Links 653, B-9000 Ghent, Belgium. EM Ellen.Vanloo@ugent.be; vincenzina.caputo@gmail.com; rnayga@uark.edu; hanseok@uark.edu; bz001@email.uark.edu; Wim.Verbeke@ugent.be RI Van Loo, Ellen/A-9008-2012; Verbeke, Wim/F-8373-2010 OI Van Loo, Ellen/0000-0002-0162-1760; Verbeke, Wim/0000-0002-9967-7104 CR Antunez L, 2015, J NUTR EDUC BEHAV, V47, P292, DOI 10.1016/j.jneb.2015.02.010 Antunez L, 2013, INT J FOOD SCI NUTR, V64, P515, DOI 10.3109/09637486.2012.759187 Ares G, 2014, FOOD QUAL PREFER, V31, P28, DOI 10.1016/j.foodqual.2013.07.005 Ares G, 2013, J SENS STUD, V28, P138, DOI 10.1111/joss.12031 Balcombe K, 2015, J APPL ECONOMET, V30, P447, DOI 10.1002/jae.2383 Basu AK, 2008, INT J CONSUM STUD, V32, P470, DOI 10.1111/j.1470-6431.2008.00715.x Behe BK, 2015, J RETAIL CONSUM SERV, V24, P10, DOI 10.1016/j.jretconser.2015.01.002 Bialkova S, 2014, APPETITE, V76, P66, DOI 10.1016/j.appet.2013.11.021 Bialkova S, 2013, FOOD POLICY, V41, P65, DOI 10.1016/j.foodpol.2013.04.010 Bialkova S, 2011, FOOD QUAL PREFER, V22, P592, DOI 10.1016/j.foodqual.2011.03.010 Bialkova S, 2010, FOOD QUAL PREFER, V21, P1042, DOI 10.1016/j.foodqual.2010.07.001 Biel A., 2001, J ENVIRON PSYCHOL, V21, P406 Caputo V, 2013, AUST J AGR RESOUR EC, V57, P465, DOI 10.1111/1467-8489.12014 Caputo V, 2013, J CONSUM AFF, V47, P311, DOI 10.1111/joca.12009 Cicia G., 2010, International Journal on Food System Dynamics, V1, P82 Clement J, 2013, J RETAIL CONSUM SERV, V20, P234, DOI 10.1016/j.jretconser.2013.01.003 Clement J, 2007, J MARKET MANAG-UK, V23, P917, DOI 10.1362/026725707X250395 Consumers International, 2005, BEAN CUP CONS CHOIC Corbetta M, 2002, NAT REV NEUROSCI, V3, P201, DOI 10.1038/nrn755 Cranfield J, 2010, AGRIBUSINESS, V26, P307, DOI 10.1002/agr.20217 Davies IA, 2010, J BUS ETHICS, V92, P127, DOI 10.1007/s10551-009-0145-6 de Ferran F, 2007, FOOD QUAL PREFER, V18, P218, DOI 10.1016/j.foodqual.2005.11.001 De Pelsmacker P, 2005, INT MARKET REV, V22, P512, DOI 10.1108/02651330510624363 De Pelsmacker P, 2005, J CONSUM AFF, V39, P363, DOI 10.1111/j.1745-6606.2005.00019.x Dragusanu R, 2014, J ECON PERSPECT, V28, P217, DOI 10.1257/jep.28.3.217 European Commission (EC), 2012, FOOD INF SCHEM LAB L Fairtrade International, 2013, MON SCOP BEN FAIRTR Food and Agriculture Organization of the United Nations (FAO), 2009, GCPRAF404GER FAO TRA Gadema Z, 2011, FOOD POLICY, V36, P815, DOI 10.1016/j.foodpol.2011.08.001 Giovannucci D, 2005, FOOD POLICY, V30, P284, DOI 10.1016/j.foodpol.2005.05.007 Giovannucci Daniele, 2008, VALUE ADDING STANDAR Graham D.J., 2015, J ACAD NUTR IN PRESS Graham DJ, 2012, FOOD POLICY, V37, P378, DOI 10.1016/j.foodpol.2012.03.004 Graham DJ, 2011, J AM DIET ASSOC, V111, P1704, DOI 10.1016/j.jada.2011.08.005 Grebitus C, 2013, J ECON PSYCHOL, V36, P11, DOI 10.1016/j.joep.2013.02.004 Grebitus C, 2013, ECOL ECON, V88, P67, DOI 10.1016/j.ecolecon.2013.01.006 Grunert K. G., 2011, International Journal on Food System Dynamics, V2, P207 Grunert KG, 2014, FOOD POLICY, V44, P177, DOI 10.1016/j.foodpol.2013.12.001 Hainmueller J, 2015, REV ECON STAT, V97, P242, DOI 10.1162/REST_a_00467 Hartikainen H, 2014, J CLEAN PROD, V73, P285, DOI 10.1016/j.jclepro.2013.09.018 Hess R, 2012, PUBLIC HEALTH NUTR, V15, P407, DOI 10.1017/S136898001100156X Holmqvist K., 2011, EYETRACKING COMPREHE Honkanen P., 2006, J CONSUM BEHAV, V5, P420, DOI DOI 10.1002/CB.190 Hooker N. H., 2014, CHOICES, V1-5 Jones G, 2007, PUBLIC HEALTH NUTR, V10, P238, DOI 10.1017/S1368980007258513 JUST MA, 1976, COGNITIVE PSYCHOL, V8, P441, DOI 10.1016/0010-0285(76)90015-3 Koch C, 2004, QUEST CONSCIOUSNESS Kolk A, 2013, SUSTAIN DEV, V21, P324, DOI 10.1002/sd.507 Koppel H, 2013, J CONSUM POLICY, V36, P369, DOI 10.1007/s10603-013-9234-0 Laaksonen P., 1994, CONSUMER INVOLVEMENT Langen N, 2011, FOOD QUAL PREFER, V22, P412, DOI 10.1016/j.foodqual.2011.02.002 Loureiro ML, 2005, ECOL ECON, V53, P129, DOI 10.1016/j.ecolecon.2004.11.002 Mazzocchi M., 2011, STAT MARKETING CONSU McFadden D, 1974, FRONTIERS ECONOMETRI, P105 Mintel, 2012, COFF US Mintel, 2009, FAIR TRAD FOODS UK National Coffee Association (NCA), 2008, REP SUST COFF Olsen SO, 2007, APPETITE, V49, P84, DOI 10.1016/j.appet.2006.12.002 Perez-Cueto FJA, 2011, NUTR HOSP, V26, P1412, DOI [10.1590/S0212-16112011000600031, 10.3305/nh.2011.26.6.5368] Pieniak Z, 2010, FOOD QUAL PREFER, V21, P581, DOI 10.1016/j.foodqual.2010.03.004 Pierrot J., 2011, TRENDS TRADE CERTIFI Pieters R, 2004, J MARKETING, V68, P36, DOI 10.1509/jmkg.68.2.36.27794 Poole A, 2005, BCS CONF SERIES, P363, DOI 10.1007/1-84628-062-1_23 Reinecke J, 2012, ORGAN STUD, V33, P791, DOI 10.1177/0170840612443629 Rotaris L., 2011, J AGR FOOD IND ORG, V9 SCAA_ Sustainability_ Council, 2010, SUST COFF CERT COMP Scarpa R., 2005, APPL SIMULATION METH, V6, P247 Scarpa R, 2007, LAND ECON, V83, P617, DOI 10.3368/le.83.4.617 Schollenberg L, 2012, BRIT FOOD J, V114, P428, DOI 10.1108/00070701211213519 Siegrist M, 2015, FOOD QUAL PREFER, V39, P183, DOI 10.1016/j.foodqual.2014.07.010 Sirieix L, 2013, INT J CONSUM STUD, V37, P143, DOI 10.1111/j.1470-6431.2012.01109.x Solomon M. R., 2013, CONSUMER BEHAV BUYIN Solomon M. R., 2013, CONSUMER BEHAV EUROP Sorqvist P, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080719 State of Sustainability Initiatives (SSI), 2014, STAT SUST IN REV STA STAYMAN DM, 1991, J MARKETING RES, V28, P232, DOI 10.2307/3172812 Street D., 2007, CONSTRUCTION OPTIMAL Thogersen J, 2000, J CONSUMER POLICY, P285, DOI DOI 10.1023/A:1007122319675 van der Laan LN, 2015, FOOD QUAL PREFER, V39, P46, DOI 10.1016/j.foodqual.2014.06.015 van Herpen E, 2011, APPETITE, V57, P148, DOI 10.1016/j.appet.2011.04.011 Van Loo E, 2010, J FOOD SCI, V75, pS384, DOI 10.1111/j.1750-3841.2010.01775.x Van Loo EJ, 2014, FOOD POLICY, V49, P137, DOI 10.1016/j.foodpol.2014.07.002 Van Loo EJ, 2013, J DAIRY SCI, V96, P2118, DOI 10.3168/jds.2012-6262 Van Loo EJ, 2011, FOOD QUAL PREFER, V22, P603, DOI 10.1016/j.foodqual.2011.02.003 Vanhonacker F, 2013, APPETITE, V62, P7, DOI 10.1016/j.appet.2012.11.003 Varela P, 2014, FOOD RES INT, V64, P701, DOI 10.1016/j.foodres.2014.08.015 Vecchio R, 2015, J CLEAN PROD, V86, P335, DOI 10.1016/j.jclepro.2014.08.006 Verbeke W, 2004, MEAT SCI, V67, P159, DOI 10.1016/j.meatsci.2003.09.017 Verbeke W, 2008, P NUTR SOC, V67, P281, DOI 10.1017/S0029665108007179 Vidal L, 2013, J SENS STUD, V28, P370, DOI 10.1111/joss.12062 Visschers VHM, 2010, PUBLIC HEALTH NUTR, V13, P1099, DOI 10.1017/S1368980009993235 Vlaeminck P, 2014, ECOL ECON, V108, P180, DOI 10.1016/j.ecolecon.2014.10.019 Wolfe J. M., 1998, ATTENTION, V1, P13, DOI DOI 10.1016/J.CUB.2010.02.016 Yang S. H., 2012, Journal of Agricultural and Applied Economics, V44, P21 Yang SH, 2013, CAN J AGR ECON, V61, P119, DOI 10.1111/j.1744-7976.2012.01266.x ZAICHKOWSKY JL, 1985, J CONSUM RES, V12, P341, DOI 10.1086/208520 Zepeda L, 2013, INT J CONSUM STUD, V37, P605, DOI 10.1111/ijcs.12041 Zhang BY, 2015, FOOD QUAL PREFER, V41, P172, DOI 10.1016/j.foodqual.2014.12.004 NR 98 TC 44 Z9 44 U1 8 U2 125 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0921-8009 EI 1873-6106 J9 ECOL ECON JI Ecol. Econ. PD OCT PY 2015 VL 118 BP 215 EP 225 DI 10.1016/j.ecolecon.2015.07.011 PG 11 WC Ecology; Economics; Environmental Sciences; Environmental Studies SC Environmental Sciences & Ecology; Business & Economics GA CR3UJ UT WOS:000361258300023 DA 2019-04-09 ER PT J AU Kuniyal, CP Bisht, VK Negi, JS Bhatt, VP Bisht, DS Butola, JS Sundriyal, RC Singh, SK AF Kuniyal, Chandra P. Bisht, Vinod K. Negi, Jagmohan S. Bhatt, Vijay P. Bisht, Dhan S. Butola, Jitendra S. Sundriyal, Rakesh C. Singh, Satish K. TI Progress and prospect in the integrated development of medicinal and aromatic plants (MAPs) sector in Uttarakhand, Western Himalaya SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY LA English DT Article ID INDIA; CONSERVATION; TRADE; CULTIVATION; STRATEGY AB Conservation, sustainable utilization and cultivation of medicinal and aromatic plants (MAPs) have received much attention in the recent years. MAPs are important ecosystem service, and dependence on MAPs for sustaining livelihood in the developing regions is still high. Despite, the tradition of trade, priorities and practices for integrated development of MAPs sector in developing regions, including the entire Indian Himalayan Region are inadequate. Uttarakhand (India-Western Himalaya), is pioneer in categorizing potential MAPs, determining priorities and developing practices for integrated development of MAPs. On the basis of regional agro-climatic conditions, available MAPs resources and prospect, a total of 132 indigenous and exotic species of MAPs in the Uttarakhand are categorized as substantial. In addition, a total of 28 plans for integrated development of MAPs sector through four prioritized areas (6 plans for coordination, 5 for research, education and documentation, 3 for conservation and sustainable development and 14 for cultivation and marketing) are introduced in past 10-12 years. Recent facilitations in the sustainable harvesting, cultivation and marketing have enabled to achieve the considerable progress in production of planting materials, promotional cultivation and sustainable harvesting and marketing. MAPs produce from cultivation-associated sources, having an economic value of Rs. 93.90 lakhs to 294.60 lakhs (cf. to US $ 147,479.19-462,698.29.00) from 2007-08 to 2012-13, and produce obtained through sustainable harvesting with the value of Rs. 321.54 lakhs to 1,791.00 lakhs (cf. to US $ 505,010.21-2,812,941.73) from 2003-04 to 2012-13 was marketed from Uttarakhand. Even though, the facilitation-driven progress in MAPs sector is encouraging; however, considering some key aspects for ascertaining sustainability and competence in the MAPs sector are still required. An attempt is made to describe decadal progress in the MAPs sector in Uttarakhand with associated and expected prospect. C1 [Kuniyal, Chandra P.; Bisht, Vinod K.; Negi, Jagmohan S.; Bhatt, Vijay P.; Bisht, Dhan S.] Herbal Res & Dev Inst, Chamoli 246401, Uttarakhand, India. [Butola, Jitendra S.] Uttarakhand Univ Hort & Forestry, Coll Forestry & Hill Agr, Tehri 249199, Uttarakhand, India. [Sundriyal, Rakesh C.] GB Pant Inst Himalayan Environm & Dev, Almora 263643, Uttarakhand, India. [Singh, Satish K.] Uttarakhand Forestry Res Inst, Haldwani 263139, Uttarakhand, India. RP Kuniyal, CP (reprint author), Herbal Res & Dev Inst, Chamoli 246401, Uttarakhand, India. EM cpkuniyal@rediffmail.com FU Government of Uttarakhand; National Medicinal Plants Board (NMPB); Agriculture and Processed Food Export Development Authority FX Authors thank, Director, Herbal Research and Development Institute for extending key facilities, R. Chand, Herbal Pharmaceuticals Development Unit (HPDU) for providing useful information on marketing of MAPs, Government of Uttarakhand, National Medicinal Plants Board (NMPB), and Agriculture and Processed Food Export Development Authority for granting financial assistant. We are also thankful to the anonymous reviewers and the Editor-in-Chief, Environment, Development and Sustainability for valuable comments, suggestions and constant support. CR Agriculture Finance Corporation (AFC), 2003, ACT PLAN PROC UNPUB, P75 Bhattacharyya R, 2006, BIODIVERS CONSERV, V15, P2705, DOI 10.1007/s10531-005-6974-4 Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES), 2012, APP 1 2 3 VAL 25 SEP, P46 Dhar U, 2002, CURR SCI INDIA, V83, P956 Hamilton AC, 2004, BIODIVERS CONSERV, V13, P1477, DOI 10.1023/B:BIOC.0000021333.23413.42 Heinen J. T., 2011, Journal of Sustainable Forestry, V30, P543, DOI 10.1080/10549811.2011.567376 Herbal Research and Development Institute (HRDI), 2005, AUSHDH EV SAG PAUDH, P88 HRDI, 2007, MED AR PLANTS 26 PRI, P54 Kideghesho Jafari R., 2009, International Journal of Biodiversity Science & Management, V5, P83, DOI 10.1080/17451590903065579 Kuniyal C P, 2013, ECOSYST SERV, V3, P40, DOI DOI 10.1016/J.EC0SER.2012.12.004 Kuniyal Chandra P., 2013, International Journal of Biodiversity Science Ecosystem Services & Management, V9, P324, DOI 10.1080/21513732.2013.819531 Kuniyal CP, 2005, BIODIVERS CONSERV, V14, P1035, DOI 10.1007/s10531-004-4365-x KUNIYAL CP, 2003, INT PLANT GENETIC RE, V135, P59 Larsen HO, 2007, BIODIVERS CONSERV, V16, P1679, DOI 10.1007/s10531-006-9039-4 Mehrotra S., 2003, MED AROMATIC PLANTS, P588 Nautiyal M. C., 2004, AGROTECHNIQUES HIGH, P202 Negi C. S., 2012, International Journal of Biodiversity and Conservation, V4, P164 Olsen CS, 2005, MT RES DEV, V25, P37, DOI 10.1659/0276-4741(2005)025[0037:ATOEAI]2.0.CO;2 Olsen CS, 1998, ECON BOT, V52, P279, DOI 10.1007/BF02862147 Olsen CS, 2005, BIOL CONSERV, V125, P505, DOI 10.1016/j.biocon.2005.04.013 Pearce Joshua M., 2012, Environment Development and Sustainability, V14, P425, DOI 10.1007/s10668-012-9337-9 Rahman H., 2011, INT J BIODIVERS SCI, V7, P283, DOI 10.1080/21513732.2011.645071 Rawat G. S., 2005, ALPINE MEADOWS UTTAR, P219 Samant S. S., 2003, MED AROMATIC PLANTS, P275 Silori CS, 2000, MT RES DEV, V20, P272, DOI 10.1659/0276-4741(2000)020[0272:MPCASD]2.0.CO;2 Strandby U, 2008, BIOL CONSERV, V141, P2959, DOI 10.1016/j.biocon.2008.08.023 Svarrer K., 2005, Journal of Sustainable Forestry, V20, P17, DOI 10.1300/J091v20n01_02 The Ayurvedic Pharmacopoeia of India (API), 2012, AYURV PHARM IND API van Oudenhoven Alexander P. E., 2011, International Journal of Biodiversity Science Ecosystem Services & Management, V7, P245, DOI 10.1080/21513732.2011.667243 Ved D. K., 2008, DEMAND SUPPLY MED PL, P216 Ved D. K., 2003, CONSERVATION ASSESSM, P207 Waits MJ, 2000, ECON DEV Q, V14, P35, DOI 10.1177/089124240001400106 Wiersum K. F., 2006, MED AROMATIC PLANTS, P57 World Health Organization, 2003, WHO GUID GOOD AGR PR, P80 Yadav Manmohan, 2013, Environment Development and Sustainability, V15, P567, DOI 10.1007/s10668-012-9393-1 NR 35 TC 7 Z9 7 U1 0 U2 16 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 1387-585X EI 1573-2975 J9 ENVIRON DEV SUSTAIN JI Environ. Dev. Sustain. PD OCT PY 2015 VL 17 IS 5 BP 1141 EP 1162 DI 10.1007/s10668-014-9595-9 PG 22 WC Green & Sustainable Science & Technology; Environmental Sciences SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA CR6UP UT WOS:000361483600011 DA 2019-04-09 ER PT J AU Hoffenson, S Dagman, A Soderberg, R AF Hoffenson, Steven Dagman, Andreas Soderberg, Rikard TI Visual quality and sustainability considerations in tolerance optimization: A market-based approach SO INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS LA English DT Article DE Tolerance analysis; Perceived quality; Consumer choice; Design for sustainability; Design optimization ID LEAN PRODUCT DEVELOPMENT; CONSUMER; DESIGN AB During the late stages of product development, dimensional tolerances are chosen to balance quality requirements with manufacturing costs. Designers typically judge how much variation in the product dimensions should be allowed while still maintaining the perception of high quality for the product or brand, but this is rarely based on a quantitative understanding of how consumers actually perceive variation and quality. Likewise, environmental sustainability priorities, which can also be affected by dimensional tolerances through production waste and product lifespan, are often chosen without knowing how such attributes are received by consumers. This paper presents a survey-based technique for understanding how tolerance and pricing decisions influence market demand and manufacturer profits, accounting for consumer perceptions of visual quality and environmental friendliness. A case study of a mobile phone design is explored, including variation propagation simulation, manufacturing cost and environmental impact estimation, online choice-based conjoint (CBC) survey design and administration, consumer demand model construction, and profit maximization for the markets in China, Sweden, and the United States. The results show how consumers make trade-offs in purchasing decisions when choosing among mobile phone attributes including price, environmental friendliness, and visual quality, and different scenarios are compared based on survey design, country of interest, and the company's global product strategy. (C) 2015 The Authors. Published by Elsevier B.V. C1 [Hoffenson, Steven; Dagman, Andreas; Soderberg, Rikard] Chalmers, Prod & Prod Dev, S-41296 Gothenburg, Sweden. RP Hoffenson, S (reprint author), Chalmers, Prod & Prod Dev, Horsalsvagen 7A, S-41296 Gothenburg, Sweden. EM stevenh@chalmers.se; andreas.dagman@chalmers.se; rikard.soderberg@chalmers.se OI Hoffenson, Steven/0000-0002-2200-3638 FU Swedish Governmental Agency for Innovation Systems (VINNOVA) FX The authors acknowledge the valuable intellectual and modeling contributions of Karin Forslund and Casper Wickman of Volvo Car Corporation and the Department of Product and Production Development at Chalmers. This work, carried out at the Wingquist Laboratory VINN Excellence Centre within the Area of Advance - Production at the Chalmers University of Technology, in Gothenburg, Sweden, was supported by the Swedish Governmental Agency for Innovation Systems (VINNOVA). That support is gratefully acknowledged. CR BJORKE O, 1989, COMPUTER AIDED TOLER BLOCH PH, 1995, J MARKETING, V59, P16, DOI 10.2307/1252116 Chase K. W., 1988, ASME MANUF REV, V1, P50 Choi HGR, 2000, J MANUF SCI E-T ASME, V122, P529, DOI 10.1115/1.1285918 de Boor C., 2001, APPL MATH SCI, V27 Elkington J, 1997, CANNIBALS FORKS TRIP Figge F, 2012, INT J PROD ECON, V140, P92, DOI 10.1016/j.ijpe.2012.02.001 Forslund Karin, 2010, Journal of Design Research, V8, P252, DOI 10.1504/JDR.2010.032609 Forslund K, 2013, INT J DES, V7, P69 Gaussin M, 2013, INT J PROD ECON, V146, P515, DOI 10.1016/j.ijpe.2011.12.002 Gautam N, 2008, INT J PROD ECON, V114, P313, DOI 10.1016/j.ijpe.2006.12.070 Hoffenson S, 2014, J ENG DESIGN, V25, P367, DOI 10.1080/09544828.2014.994481 Hong YS, 2002, INT J PROD RES, V40, P2425, DOI 10.1080/00207540210128242 Jones D., 1999, J OPIMIZATION THEORY, V79, P157 Juran J.M., 2001, QUALITY PLANNING ANA Kramer O, 2011, STUD COMPUT INTELL, V356, P61 Li Z., 2008, J MANUFACTURING SCI, V130 Liker JK, 2006, ACAD MANAGE PERSPECT, V20, P5, DOI 10.5465/AMP.2006.20591002 Limnios EAM, 2009, ECOL ECON, V68, P2525, DOI 10.1016/j.ecolecon.2009.04.020 Loof J, 2007, MODELS FOR COMPUTER AIDED TOLERANCING IN DESIGN AND MANUFACTURING, P115, DOI 10.1007/1-4020-5438-6_13 Louviere J. J, 2000, STATED CHOICE METHOD OSTWALD PF, 1977, J ENG IND-T ASME, V99, P558, DOI 10.1115/1.3439279 Papalambros P. Y., 2000, PRINCIPLES OPTIMAL D Sawtooth Software Inc., 2004, TECHNICAL REPORT Sawtooth Software Inc., 2008, TECHNICAL REPORT Schifferstein H, 2008, PRODUCT EXPERIENCE Shen Z., 2007, COMPUT AIDED DES APP, V4, P705, DOI DOI 10.1080/16864360.2007.10738504 Smith PB, 2004, J CROSS CULT PSYCHOL, V35, P50, DOI 10.1177/0022022103260380 Soderberg R, 1999, J ENG DESIGN, V10, P165, DOI 10.1080/095448299261371 Soderberg R, 1993, ADV DESIGN AUTOMATIO, P149 Steen B., 1999, TECHNICAL REPORT The Netherlands Ministry of Housing Spatial Planning and the Environment, 2000, EC 99 MAN DES Train K.E., 2003, DISCRETE CHOICE METH Vigon B.W., 1993, TECHNICAL REPORT von Neumann J., 1944, THEORY GAMES EC BEHA Wickman C., 2014, J ENG DESIGN, V25, P175 Wickman C., 2007, J ENG DESIGN, V18, P1 World Commission on Environment and Development, 1987, OUR COMMON FUTURE Wu Z., 1988, ASME MANUF REV, V1-3, P168 Yalabik B, 2011, INT J PROD ECON, V131, P519, DOI 10.1016/j.ijpe.2011.01.020 NR 40 TC 5 Z9 5 U1 1 U2 26 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0925-5273 EI 1873-7579 J9 INT J PROD ECON JI Int. J. Prod. Econ. PD OCT PY 2015 VL 168 BP 167 EP 180 DI 10.1016/j.ijpe.2015.06.023 PG 14 WC Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science SC Engineering; Operations Research & Management Science GA CR3VK UT WOS:000361261000015 OA Green Published, Other Gold DA 2019-04-09 ER PT J AU Johnston, ASA Sibly, RM Hodson, ME Alvarez, T Thorbek, P AF Johnston, Alice S. A. Sibly, Richard M. Hodson, Mark E. Alvarez, Tania Thorbek, Pernille TI Effects of agricultural management practices on earthworm populations and crop yield: validation and application of a mechanistic modelling approach SO JOURNAL OF APPLIED ECOLOGY LA English DT Article DE agriculture; earthworm; ecosystem services; energy budget; pesticides; population modelling; tillage; weed management ID ECOSYSTEM SERVICES; LAND-USE; CONSERVATION AGRICULTURE; SOIL; SUSTAINABILITY; DYNAMICS; TILLAGE; PESTICIDES; ABUNDANCE; PATTERNS AB There is little consensus on how agriculture will meet future food demands sustainably. Soils and their biota play a crucial role by mediating ecosystem services that support agricultural productivity. However, a multitude of site-specific environmental factors and management practices interact to affect the ability of soil biota to perform vital functions, confounding the interpretation of results from experimental approaches. Insights can be gained through models, which integrate the physiological, biological and ecological mechanisms underpinning soil functions. We present a powerful modelling approach for predicting how agricultural management practices (pesticide applications and tillage) affect soil functioning through earthworm populations. By combining energy budgets and individual-based simulation models, and integrating key behavioural and ecological drivers, we accurately predict population responses to pesticide applications in different climatic conditions. We use the model to analyse the ecological consequences of different weed management practices. Our results demonstrate that an important link between agricultural management (herbicide applications and zero, reduced and conventional tillage) and earthworms is the maintenance of soil organic matter (SOM). We show how zero and reduced tillage practices can increase crop yields while preserving natural ecosystem functions. This demonstrates how management practices which aim to sustain agricultural productivity should account for their effects on earthworm populations, as their proliferation stimulates agricultural productivity.Synthesis and applications. Our results indicate that conventional tillage practices have longer term effects on soil biota than pesticide control, if the pesticide has a short dissipation time. The risk of earthworm populations becoming exposed to toxic pesticides will be reduced under dry soil conditions. Similarly, an increase in soil organic matter could increase the recovery rate of earthworm populations. However, effects are not necessarily additive and the impact of different management practices on earthworms depends on their timing and the prevailing environmental conditions. Our model can be used to determine which combinations of crop management practices and climatic conditions pose least overall risk to earthworm populations. Linking our model mechanistically to crop yield models would aid the optimization of crop management systems by exploring the trade-off between different ecosystem services. Our results indicate that conventional tillage practices have longer term effects on soil biota than pesticide control, if the pesticide has a short dissipation time. The risk of earthworm populations becoming exposed to toxic pesticides will be reduced under dry soil conditions. Similarly, an increase in soil organic matter could increase the recovery rate of earthworm populations. However, effects are not necessarily additive and the impact of different management practices on earthworms depends on their timing and the prevailing environmental conditions. Our model can be used to determine which combinations of crop management practices and climatic conditions pose least overall risk to earthworm populations. Linking our model mechanistically to crop yield models would aid the optimization of crop management systems by exploring the trade-off between different ecosystem services. C1 [Johnston, Alice S. A.; Sibly, Richard M.] Univ Reading, Sch Biol Sci, Reading RG6 6AS, Berks, England. [Hodson, Mark E.] Univ York, Dept Environm, York YO10 5DD, N Yorkshire, England. [Alvarez, Tania] EcoRisk Solut Ltd, Norwich NR14 7DQ, Norfolk, England. [Thorbek, Pernille] Syngenta Ltd, Environm Safety, Bracknell RG42 6EY, Berks, England. RP Johnston, ASA (reprint author), Univ Reading, Sch Biol Sci, Reading RG6 6AS, Berks, England. EM a.s.a.johnston@pgr.reading.ac.uk RI Hodson, Mark/L-9270-2013 OI Hodson, Mark/0000-0002-8166-1526; Sibly, Richard/0000-0001-6828-3543 FU BBSRC [BB/1532429/1]; Syngenta; Biotechnology and Biological Sciences Research Council [978605] FX We thank Paul Sweeney for discussions and modelling ideas and Volker Grimm, two anonymous reviewers and the editor for helpful comments that improved the manuscript. This research has been financially supported by BBSRC studentship BB/1532429/1, with CASE support from Syngenta. CR Amundson R., 2015, SCIENCE, P348, DOI DOI 10.1126/SCIENCE.1261071 Badgley C, 2007, RENEW AGR FOOD SYST, V22, P86, DOI 10.1017/S1742170507001640 BALESDENT J, 1990, J SOIL SCI, V41, P587, DOI 10.1111/j.1365-2389.1990.tb00228.x Blouin M, 2013, EUR J SOIL SCI, V64, P161, DOI 10.1111/ejss.12025 Brown GG, 1999, EARTHWORM MANAGEMENT IN TROPICAL AGROECOSYSTEMS, P87 Darwin C., 1881, FORMATION VEGETABLE Dominati E, 2010, ECOL ECON, V69, P1858, DOI 10.1016/j.ecolecon.2010.05.002 Doran JW, 2000, APPL SOIL ECOL, V15, P3, DOI 10.1016/S0929-1393(00)00067-6 European Food and Safety Agency, 2010, EFSA J, V8, P1821, DOI DOI 10.2903/J.EFSA.2010.1821 Evans MR, 2013, TRENDS ECOL EVOL, V28, P578, DOI 10.1016/j.tree.2013.05.022 Forbes VE, 2008, ENVIRON TOXICOL CHEM, V27, P1987, DOI 10.1897/08-029.1 FRANCIS GS, 1993, SOIL TILL RES, V26, P193, DOI 10.1016/0167-1987(93)90044-P Galic N, 2012, SCI TOTAL ENVIRON, V415, P93, DOI 10.1016/j.scitotenv.2011.05.065 Givaudan N, 2014, SOIL BIOL BIOCHEM, V73, P49, DOI 10.1016/j.soilbio.2014.01.032 Grimm V, 2012, PHILOS T R SOC B, V367, P298, DOI 10.1098/rstb.2011.0180 Guo LB, 2002, GLOBAL CHANGE BIOL, V8, P345, DOI 10.1046/j.1354-1013.2002.00486.x Harper J. K., 1996, CONSERVATION TILLAGE HARRISON S, 1993, BIOTIC INTERACTIONS AND GLOBAL CHANGE, P388 Hill A. V, 1910, J PHYSIOL-LONDON, V40, piv Johnston ASA, 2014, APPL SOIL ECOL, V84, P112, DOI 10.1016/j.apsoil.2014.06.001 Johnston ASA, 2014, ECOL MODEL, V280, P5, DOI 10.1016/j.ecolmodel.2013.09.012 JONES CG, 1994, OIKOS, V69, P373, DOI 10.2307/3545850 Jones SE, 2004, ECOTOXICOLOGY, V13, P29, DOI 10.1023/B:ECTX.0000012403.90709.c9 Kassam A, 2009, INT J AGR SUSTAIN, V7, P292, DOI 10.3763/ijas.2009.0477 KERN JS, 1993, SOIL SCI SOC AM J, V57, P200, DOI 10.2136/sssaj1993.03615995005700010036x Klein O., 2013, S1200663 EUR Klein O., 2010, S0800402 EUR Klein O., 2010, S0801244 EUR Klein O., 2013, S1200662 EUR Klein O., 2010, S0900999 EUR LAVELLE P, 2006, EUR J SOIL BIOL, V42, P3, DOI DOI 10.1016/J.EJS0BI.2006.10.002 Lavelle P., 2001, SOIL ECOLOGY Lewis WJ, 1997, P NATL ACAD SCI USA, V94, P12243, DOI 10.1073/pnas.94.23.12243 LI CY, 1985, B ENVIRON CONTAM TOX, V34, P533, DOI 10.1007/BF01609772 LOFSHOLMIN A, 1982, SWED J AGR RES, V12, P117 MARINISSEN JCY, 1992, SOIL BIOL BIOCHEM, V24, P1647, DOI 10.1016/0038-0717(92)90164-S Martin BT, 2013, AM NAT, V181, P506, DOI 10.1086/669904 MEA, 2005, MILL EC ASS EC HUM W Montgomery DR, 2007, P NATL ACAD SCI USA, V104, P13268, DOI 10.1073/pnas.0611508104 Owen MDK, 2005, PEST MANAG SCI, V61, P301, DOI 10.1002/ps.1015 Pelosi C, 2008, ECOL MODEL, V218, P219, DOI 10.1016/j.ecolmodel.2008.07.002 Pittelkow CM, 2015, NATURE, V517, P365, DOI 10.1038/nature13809 Railsback SF, 2014, P NATL ACAD SCI USA, V111, P6109, DOI 10.1073/pnas.1320957111 Scheu S, 2003, PEDOBIOLOGIA, V47, P846, DOI 10.1078/0031-4056-00270 Spurgeon DJ, 2013, BMC ECOL, V13, DOI 10.1186/1472-6785-13-46 Tilman D, 2002, NATURE, V418, P671, DOI 10.1038/nature01014 van Groenigen JW, 2014, SCI REP-UK, V4, DOI 10.1038/srep06365 vansCapelle C, 2012, EUROPEAN J SOIL BIOL, V50, P165 NR 48 TC 5 Z9 5 U1 7 U2 95 PU WILEY-BLACKWELL PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0021-8901 EI 1365-2664 J9 J APPL ECOL JI J. Appl. Ecol. PD OCT PY 2015 VL 52 IS 5 BP 1334 EP 1342 DI 10.1111/1365-2664.12501 PG 9 WC Biodiversity Conservation; Ecology SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CR2UP UT WOS:000361186500024 OA Green Published DA 2019-04-09 ER PT J AU Sarkar, R Sinha, A AF Sarkar, Runa Sinha, Anup TI The village as a social entrepreneur: Balancing conservation and livelihoods SO TOURISM MANAGEMENT PERSPECTIVES LA English DT Article DE Ecotourism; Community participation; Business model; Financial viability; Sustainability; Conservation AB This study seeks to understand some complexities of the business model underlying ecotourism that is focused on generating supplementary incomes for poor rural communities in a community-based home-stay arrangement. We discuss aspects of financial viability, distributional equity and compatibility of ecotourism with the objective of conservation of natural resources and local culture. Through a case study, this paper highlights the essential tension between livelihood and conservation, and suggests that ecotourism represents a trade-off between environmental sustainability and financial success. This trade-off would be even sharper where the involvement in ecotourism is an outcome of the pressures for generating livelihood and incomes rather than from an inherent concern for nature and its preservation. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Sarkar, Runa; Sinha, Anup] Indian Inst Management Calcutta, Kolkata, India. RP Sarkar, R (reprint author), Indian Inst Management Calcutta, Econ Grp, Diamond Harbour Rd, Kolkata 700104, India. EM runa@iimcal.ac.in FU Indian Institute of Management Calcutta [DPTOLIE/3419/2009-10]; National Bank for Agriculture and Rural Development (NABARD) FX The authors acknowledge research support from the Indian Institute of Management Calcutta through a financial grant no. RP: DPTOLIE/3419/2009-10 and logistics support from National Bank for Agriculture and Rural Development (NABARD). CR Butcher J., 2006, Journal of Sustainable Tourism, V14, P529 CAMERON N, 1973, CAN J ECON, V6, P16, DOI 10.2307/133859 Glaser B. G., 1967, DISCOVERY GROUNDED T GUTTMAN JM, 1989, ECON J, V99, P686, DOI 10.2307/2233765 Orans M.B., 1995, TOURISM MANAGE, V16 Ross S, 1999, TOURISM MANAGE, V20, P123, DOI 10.1016/S0261-5177(98)00098-3 Sarkar R., 2015, ANOTHER DEV PARTICIP Scheyvens R, 1999, TOURISM MANAGE, V20, P245, DOI 10.1016/S0261-5177(98)00069-7 SEN AK, 1966, REV ECON STUD, V33, P361, DOI 10.2307/2974432 Simpson MC, 2008, TOURISM MANAGE, V29, P1, DOI 10.1016/j.tourman.2007.06.005 Tirasattayapitak S, 2015, TOUR MANAG PERSPECT, V15, P122, DOI 10.1016/j.tmp.2015.05.003 Tosun C, 2000, TOURISM MANAGE, V21, P613, DOI 10.1016/S0261-5177(00)00009-1 NR 12 TC 4 Z9 4 U1 5 U2 10 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 2211-9736 EI 2211-9744 J9 TOUR MANAG PERSPECT JI Tour. Manag. Perspect. PD OCT PY 2015 VL 16 BP 100 EP 106 DI 10.1016/j.tmp.2015.07.006 PG 7 WC Hospitality, Leisure, Sport & Tourism; Management SC Social Sciences - Other Topics; Business & Economics GA V2W7U UT WOS:000217981700012 DA 2019-04-09 ER PT J AU Ormond, J AF Ormond, Jim TI New Regimes of Responsibilization: Practicing Product Carbon Footprinting in the New Carbon Economy SO ECONOMIC GEOGRAPHY LA English DT Article DE product carbon footprint; carbon economy; supply chain governance; corporate social responsibility; Foucault; carbon truths ID GLOBAL PRODUCTION NETWORKS; ENVIRONMENTAL GOVERNANCE; CLIMATE-CHANGE; ETHICAL TRADE; VALUE CHAINS; STANDARDS; POWER; SUSTAINABILITY; CONSUMPTION; PERFORMANCE AB This article discusses how by voluntarily adopting new dimensions of corporate responsibility-for the greenhouse gas (GHG) emissions generated by its products-global retailers not only position their organizations as responsible in the battle to win the hearts, minds, and wallets of their consumers, but also articulate a new solution for the mitigation of climate change aligned with their commercial interests. As part of this solution, retailers (and other brands) reimagined how GHG emissions should be allocated-shifting from a productionist-based to a consumptionist-based perspective-and redefined what they are responsible for and what their supply chains must care about. The article argues that the complexity involved in engaging tens, hundreds, or even thousands of individual organizations across numerous products' supply chains means that requirements to measure and reduce a product's carbon footprint cannot, and are not, simply pushed down a supply chain. Rather through a confluence of the practices of translation, observation, and normalization retailers are creating, fostering, and articulating new regimes of responsibilization within which actors across successive tiers of a product's supply chains must measure, monitor, and reduce their own carbon footprints independently, conscientiously, and diligently, thereby enabling retailers to achieve carbon reductions at a distance. Seen through the Foucauldian-inspired lens of the technologies of the self and self-government under neo-liberal governance regimes, this article suggests that, through the control of what is in a product's carbon footprint, how this should be measured, and how it should be reduced-what are called here carbon truths-global retailers are working to consolidate their socioeconomic powers as sustainability leaders that fundamentally direct society's response to, and mitigation of, climate change. (C) 2014 Clark University C1 Kings Coll London, London WC2R 2LS, England. RP Ormond, J (reprint author), Kings Coll London, Dept Geography Strand Campus, London WC2R 2LS, England. EM James.ormond@kcl.ac.uk FU Economic Social Research Council (ESRC) FX This article was written as part of a Ph.D. thesis funded by the Economic Social Research Council (ESRC-Case Studentship 2010-13). CR Affolderbach J, 2011, ECON GEOGR, V87, P181, DOI 10.1111/j.1944-8287.2011.01107.x Allmer T, 2011, TRIPLEC-COMMUN CAPIT, V9, P566 [Anonymous], 2012, GUARDIAN [Anonymous], 2014, GUARDIAN Bailey I, 2011, ANTIPODE, V43, P682, DOI 10.1111/j.1467-8330.2011.00880.x Bakker K, 2010, PROG HUM GEOG, V34, P715, DOI 10.1177/0309132510376849 Barnett C, 2005, ANTIPODE, V37, P23, DOI 10.1111/j.0066-4812.2005.00472.x Barrientos S., 2008, DEV CHANGE, V39, P1 Barrientos S, 2013, GEOFORUM, V44, P44, DOI 10.1016/j.geoforum.2012.06.012 BBC, 2009, CARB LAB PRES TAX PR Bentham J., 1995, PANOPTICON WRITINGS, P29 Bernstein S, 2010, MILLENNIUM-J INT ST, V39, P161, DOI 10.1177/0305829810372480 Biermann F, 2005, CLIM POLICY, V5, P273 Blowfield M., 2008, CORPORATE SOCIAL RES Blowfield ME, 2008, DEV CHANGE, V39, P1, DOI 10.1111/j.1467-7660.2008.00465.x Boyd E, 2011, ANTIPODE, V43, P601, DOI 10.1111/j.1467-8330.2011.00882.x Boykoff M., 2011, WHO SPEAKS CLIMATE M Bumpus AG, 2008, ECON GEOGR, V84, P127, DOI 10.1111/j.1944-8287.2008.tb00401.x Burch D., 2007, Supermarkets and agri-food supply chains: transformations in the production and consumption of foods, P100 Busch T, 2011, BUS SOC, V50, P233, DOI 10.1177/0007650311398780 Carbon Trust, 2013, EV PROD CARB FOOTPR Carroll AB, 2010, INT J MANAG REV, V12, P85, DOI 10.1111/j.1468-2370.2009.00275.x Christopherson S, 2005, ENVIRON PLANN A, V37, P1919, DOI 10.1068/a3789 Clark GL, 1998, ANN ASSOC AM GEOGR, V88, P73, DOI 10.1111/1467-8306.00085 Clarke N, 2007, POLIT GEOGR, V26, P231, DOI 10.1016/j.polgeo.2006.10.009 Coca Cola, 2013, 2012 2013 GRI REP CO Coe NM, 2008, J ECON GEOGR, V8, P271, DOI 10.1093/jeg/lbn002 Coe NM, 2007, J ECON GEOGR, V7, P341, DOI 10.1093/jeg/lbm012 Collins J. L., 2003, THREADS GENDER LABOR Dauvergne P, 2012, GLOBAL ENVIRON CHANG, V22, P36, DOI 10.1016/j.gloenvcha.2011.10.007 Dean M., 1999, GOVT POWER RULE MODE Descheneau P, 2011, ANTIPODE, V43, P662, DOI 10.1111/j.1467-8330.2011.00885.x Dolan C., 2005, J ASIAN AFR STUD, V40, P411, DOI DOI 10.1177/ ELKINGTON J, 1994, CALIF MANAGE REV, V36, P90, DOI 10.2307/41165746 European Commission, 2013, PROD ENV FOOTPR PEF Featherstone M., 1991, BODY SOCIAL PROCESS, P170, DOI DOI 10.4135/9781446280546 Food Bev, 2011, ASD SUG RICH GRASS C Foucault M., 1991, FOUCAULT EFFECT STUD, P87, DOI DOI 10.7208/CHICAGO/9780226028811.001.0001 Foucault Michel, 1988, TECHNOLOGIES SELF SE Freidberg S, 2004, ENVIRON PLANN D, V22, P513, DOI 10.1068/d384 Freidberg S, 2007, CULT GEOGR, V14, P321, DOI 10.1177/1474474007078203 Fuchs D, 2009, FOOD HEALTH ENVIRON, V4, P29 Gereffi G, 2001, IDS BULL-I DEV STUD, V32, P1, DOI 10.1111/j.1759-5436.2001.mp32003001.x Goodman MK, 2010, GEOFORUM, V41, P104, DOI 10.1016/j.geoforum.2009.08.003 Gullick L., 1936, REPEAL STUDY LIQUOR, pi Gutierrez M, 2011, ANTIPODE, V43, P639, DOI 10.1111/j.1467-8330.2011.00884.x Hamilton T, 2013, ECON GEOGR, V89, P285, DOI 10.1111/ecge.12005 HART SL, 1995, ACAD MANAGE REV, V20, P986, DOI 10.2307/258963 Hughes A, 2001, T I BRIT GEOGR, V26, P390, DOI 10.1111/1475-5661.00031 Hughes A, 2008, J ECON GEOGR, V8, P345, DOI 10.1093/jeg/lbn004 Hughes A, 2007, J ECON GEOGR, V7, P491, DOI 10.1093/jeg/lbm011 Hughes A, 2006, GEOFORUM, V37, P1008, DOI 10.1016/j.geoforum.2006.02.002 Hughes A, 2013, J ECON GEOGR, V13, P211, DOI 10.1093/jeg/lbs049 Klein N, 2000, NO LOGO Klooster D, 2010, GEOFORUM, V41, P117, DOI 10.1016/j.geoforum.2009.02.006 Kneen B., 2002, INVISIBLE GIANT CARG Knox-Hayes J, 2009, J ECON GEOGR, V9, P749, DOI 10.1093/jeg/lbp004 Kortelainen J, 2008, ENVIRON PLANN A, V40, P1294, DOI 10.1068/a39145 Lang T, 2009, FOOD POLICY INTEGRAT Lansing DM, 2013, GLOBAL ENVIRON CHANG, V23, P654, DOI 10.1016/j.gloenvcha.2013.02.005 Lawrence TB, 2004, ORGANIZATION, V11, P689, DOI 10.1177/1350508404046457 Levy D, 2007, ORGAN STUD, V28, P971, DOI 10.1177/0170840607078109 Levy DL, 2013, ORGANIZATION, V20, P659, DOI 10.1177/1350508413489816 Levy DL, 2010, BUS SOC, V49, P88, DOI 10.1177/0007650309345420 Lovell H, 2009, ENVIRON PLANN A, V41, P2357, DOI 10.1068/a40345 Lozano R, 2015, CORP SOC RESP ENV MA, V22, P32, DOI 10.1002/csr.1325 MacKenzie D., 2011, ANTIPODE, V43, P612 Marks and Spencer, 2013, DEV MARKS SPENC APPR McAfee K, 1999, ENVIRON PLANN D, V17, P133, DOI 10.1068/d170133 McCarthy J, 2004, GEOFORUM, V35, P327, DOI 10.1016/j.geoforum.2003.07.002 McNay L., 2013, FOUCAULT CRITICAL IN Nadvi K, 2008, J ECON GEOGR, V8, P323, DOI 10.1093/jeg/lbn003 Nadvi K, 2004, LOCAL ENTERPRISES IN THE GLOBAL ECONOMY: ISSUES OF GOVERNANCE AND UPGRADING, P53 Nathan Dev, 2007, ISSUES ANAL GLOBAL V Neuendorf K. A, 2002, CONTENT ANAL GUIDEBO Newell P, 2012, GLOBAL ENVIRON POLIT, V12, P49, DOI 10.1162/GLEP_a_00139 OKEREKE C., 2007, 112 TYND CTR CLIM CH Ormond J., 2015, THESIS KINGS COLL LO Ormond J., 2013, WHY WE EAT WE EAT CO, P187 Ouma S, 2010, ECON GEOGR, V86, P197 Peters GP, 2008, ECOL ECON, V65, P13, DOI 10.1016/j.ecolecon.2007.10.014 Powell S. G., 2009, P AUSTR NZ MARK AC C, P1 Prudham S, 2009, ENVIRON PLANN A, V41, P1594, DOI 10.1068/a4071 RAJAK Dinah, 2006, CORPORATE CITIZENSHI, P190 Reardon T, 2007, J ECON GEOGR, V7, P399, DOI 10.1093/jeg/lbm007 Reinhardt F, 2000, INTERFACES, V30, P26, DOI 10.1287/inte.30.3.26.11667 Robinson PK, 2009, J INT DEV, V21, P1015, DOI 10.1002/jid.1635 Rose N., 1999, POWERS FREEDOM REFRA Royal Geographical Society, 2009, CONS DONT UND CARB L Russo MV, 1997, ACAD MANAGE J, V40, P534, DOI 10.2307/257052 Ruwanpura KN, 2011, J ECON GEOGR, V11, P1031, DOI 10.1093/jeg/lbq036 Sainsbury's, 2009, SAINSB DAIR DEV GROU Sainsbury's, 2011, SAINSB LAUNCH 20 20 SCHOENBERGER E, 1991, PROF GEOGR, V43, P180, DOI 10.1111/j.0033-0124.1991.00180.x SIG Combibloc Obeikan, 2007, MILK JUIC PACK CLEAR Tesco, 2011, TESC PROD CARB FOOTP Tesco, 2007, TESC CARB CONS SPEEC Tesco, 2008, WORK TOG SUST FUT Trust Carbon, 2006, CARB EM GEN ALL WE C Vogler J, 2005, INT AFF, V81, P835, DOI 10.1111/j.1468-2346.2005.00487.x Vorley B., 2007, Supermarkets and agri-food supply chains: transformations in the production and consumption of foods, P243 Walmart, 2009, WALM SUST Weidema BP, 2008, J IND ECOL, V12, P3, DOI 10.1111/j.1530-9290.2008.00005.x World Resource Institute, 2009, WRI ADV GREEN SUPPL Worrell E, 2001, ENERG POLICY, V29, P29, DOI 10.1016/S0301-4215(00)00097-5 Wyckoff A., 2003, 200315 OECD SCI TECH NR 106 TC 6 Z9 6 U1 3 U2 39 PU TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND SN 0013-0095 EI 1944-8287 J9 ECON GEOGR JI Econ. Geogr. PD OCT PY 2015 VL 91 IS 4 BP 425 EP 448 DI 10.1111/ecge.12095 PG 24 WC Economics; Geography SC Business & Economics; Geography GA CR0AY UT WOS:000360981700002 DA 2019-04-09 ER PT J AU Di Somma, M Yan, B Bianco, N Graditi, G Luh, PB Mongibello, L Naso, V AF Di Somma, M. Yan, B. Bianco, N. Graditi, G. Luh, P. B. Mongibello, L. Naso, V. TI Operation optimization of a distributed energy system considering energy costs and exergy efficiency SO ENERGY CONVERSION AND MANAGEMENT LA English DT Article DE Operation optimization; Distributed energy systems; Energy costs; Exergy efficiency ID HEAT-PUMP SYSTEM; 2ND LAW ANALYSIS; OPTIMAL-DESIGN; MODEL; GREENHOUSE; MANAGEMENT; GAS AB With the growing demand of energy on a worldwide scale, improving the efficiency of energy resource use has become one of the key challenges. Application of exergy principles in the context of building energy supply systems can achieve rational use of energy resources by taking into account the different quality levels of energy resources as well as those of building demands. This paper is on the operation optimization of a Distributed Energy System (DES). The model involves multiple energy devices that convert a set of primary energy carriers with different energy quality levels to meet given time-varying user demands at different energy quality levels. By promoting the usage of low-temperature energy sources to satisfy low-quality thermal energy demands, the waste of high-quality energy resources can be reduced, thereby improving the overall exergy efficiency. To consider the economic factor as well, a multi-objective linear programming problem is formulated. The Pareto frontier, including the best possible trade-offs between the economic and exergetic objectives, is obtained by minimizing a weighted sum of the total energy cost and total primary exergy input using branch-and-cut. The operation strategies of the DES under different weights for the two objectives are discussed. The operators of DESs can choose the operation strategy from the Pareto frontier based on costs, essential in the short run, and sustainability, crucial in the long run. The contribution of each energy device in reducing energy costs and the total exergy input is also analyzed. In addition, results show that the energy cost can be much reduced and the overall exergy efficiency can be significantly improved by the optimized operation of the DES as compared with the conventional energy supply system using the grid power only. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Di Somma, M.; Bianco, N.; Naso, V.] Univ Naples Federico II, DII, I-80125 Naples, Italy. [Yan, B.; Luh, P. B.] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA. [Di Somma, M.; Graditi, G.; Mongibello, L.] CR Portici, ENEA Italian Natl Agcy New Technol Energy & Susta, I-80055 Portici, Italy. RP Di Somma, M (reprint author), Univ Naples Federico II, DII, I-80125 Naples, Italy. EM marialaura.disomma@enea.it OI BIANCO, Nicola/0000-0003-0534-9140; Di Somma, Marialaura/0000-0002-6822-2377 FU Universita di Napoli Federico II FX Authors thank the Universita di Napoli Federico II for funding this study within the agreement with the University of Connecticut and the Smart grid con sistemi di poligenerazione distribuita (Poligrid). CR Abusoglu A, 2008, ENERG CONVERS MANAGE, V49, P2026, DOI 10.1016/j.enconman.2008.02.012 Acikkalp E, 2014, ENERG CONVERS MANAGE, V82, P146, DOI 10.1016/j.enconman.2014.03.006 Akorede MF, 2010, RENEW SUST ENERG REV, V14, P724, DOI 10.1016/j.rser.2009.10.025 Angelotti A., 2007, P 2 PALENC 28 AIVC C, P59 Angelotti A, 2007, P CLIM GEN IT 5 7 SE, P843 [Anonymous], 2013, 55 ANSIASHRAE ASHRAE International Weather files for Energy Calculations (IWEC weather files), 2001, ASHRAE INT WEATH FIL Beijing Municipal Commission of Development & Reform, CURR PRIC PUBL COMM Bjork F., 2011, ASES NAT SOL C N CAR Brahman F, 2014, P 19 IEEE C EL POW D, P19 Chau J, 2009, APPL ENERG, V86, P364, DOI 10.1016/j.apenergy.2008.05.010 Di Somma M, 2014, 2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), P2675, DOI 10.1109/WCICA.2014.7053148 Edgerton RH, 1992, AVAILABLE ENERGY ENV Emerson DB, 1998, SUMMARY MICROTURBINE Esen H, 2006, ENERG CONVERS MANAGE, V47, P1281, DOI 10.1016/j.enconman.2005.06.024 Esen H, 2007, BUILD ENVIRON, V42, P3606, DOI 10.1016/j.buildenv.2006.10.014 Esen H, 2007, BUILD ENVIRON, V42, P1955, DOI 10.1016/j.buildenv.2006.04.007 Esen M, 2013, ENERG BUILDINGS, V65, P340, DOI 10.1016/j.enbuild.2013.06.018 Fryda L, 2008, ENERG CONVERS MANAGE, V49, P281, DOI 10.1016/j.enconman.2007.06.013 Goncalves P, 2013, ENERG CONVERS MANAGE, V73, P195, DOI 10.1016/j.enconman.2013.04.015 Guan X, 2011, IEEE T SMART GRID, V1, P466 Hawkes AD, 2009, APPL ENERG, V86, P1253, DOI 10.1016/j.apenergy.2008.09.006 Hepbasli A, 2004, ENERG CONVERS MANAGE, V45, P737, DOI 10.1016/S0196-8904(03)00185-7 Hepbasli A, 2010, ENERG CONVERS MANAGE, V51, P2041, DOI 10.1016/j.enconman.2010.02.038 Karl A, 2006, RENEW SUST ENERG REV, V10, P539 Kaushik SC, 2011, RENEW SUST ENERG REV, V15, P1857, DOI 10.1016/j.rser.2010.12.007 Kaviri AG, 2013, ENERG CONVERS MANAGE, V67, P27, DOI 10.1016/j.enconman.2012.10.017 Kilkis S, 2007, ASHRAE TRAN, V113, P113 Kinab E, 2010, ENERG BUILDINGS, V42, P2269, DOI 10.1016/j.enbuild.2010.07.007 Kong XQ, 2005, APPL THERM ENG, V25, P377, DOI 10.1016/j.applthermaleng.2004.06.014 Koroneos C, 2003, RENEW ENERG, V28, P295, DOI 10.1016/S0960-1481(01)00125-2 Kotas YJ, 1995, EXERGY METHOD THERMA Kranzl L, 2010, 11 S EN INN GRAZ AUS Krause T., 2010, P IEEE POW EN SOC GE Kriett PO, 2012, ENERGY, V42, P321, DOI 10.1016/j.energy.2012.03.049 Lu H, 2014, ENERG CONVERS MANAGE, V79, P525, DOI 10.1016/j.enconman.2013.12.051 Mehleri ED, 2012, ENERGY, V44, P96, DOI 10.1016/j.energy.2012.02.009 Molinari M., 2012, EXERGY PARAMETRIC AN Molinari M., 2009, EXERGY ANAL BUILDING Moran MJ, 1990, AVAILABILITY ANAL AG Pepermans G, 2005, ENERG POLICY, V33, P787, DOI 10.1016/j.enpol.2003.10.004 Ramirez-Elizondo LM, 2013, INT J EXERGY, V13, P364, DOI 10.1504/IJEX.2013.057356 Ren HB, 2010, APPL ENERG, V87, P3642, DOI 10.1016/j.apenergy.2010.06.013 Rong AY, 2007, APPL ENERG, V84, P307, DOI 10.1016/j.apenergy.2006.07.005 Rosen MA, 2008, ENERG POLICY, V36, P128, DOI 10.1016/j.enpol.2007.09.006 Schmidt D, 2009, ENERG BUILDINGS, V41, P331, DOI 10.1016/j.enbuild.2008.10.005 Soderman J, 2006, APPL THERM ENG, V26, P1400, DOI 10.1016/j.applthermaleng.2005.05.034 SZARGUT J, 1980, ENERGY, V5, P709, DOI 10.1016/0360-5442(80)90090-0 Szargut J, 1988, EXERGY ANAL THERMAL Tolga Balta A, 2010, ENERGY BUILD, V42, P1320 Torio H, 2010, RENEW ENERG, V35, P2689, DOI 10.1016/j.renene.2010.04.015 Torio H, 2009, ENERG BUILDINGS, V41, P248, DOI 10.1016/j.enbuild.2008.10.006 US Environmental Protection Agency, CAT CHP TECHN Weber C, 2011, ENERGY, V36, P1292, DOI 10.1016/j.energy.2010.11.014 Yan B., 2013, P IEEE CASE MAD US A Yan B, 2014, P IEEE CASE TAIW TAI Zhou Z, 2013, APPL THERM ENG, V53, P387, DOI 10.1016/j.applthermaleng.2012.01.067 NR 57 TC 69 Z9 70 U1 11 U2 65 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0196-8904 EI 1879-2227 J9 ENERG CONVERS MANAGE JI Energy Conv. Manag. PD OCT PY 2015 VL 103 BP 739 EP 751 DI 10.1016/j.enconman.2015.07.009 PG 13 WC Thermodynamics; Energy & Fuels; Mechanics SC Thermodynamics; Energy & Fuels; Mechanics GA CP4SQ UT WOS:000359873300071 HC Y HP N DA 2019-04-09 ER PT J AU Mirzabaev, A Guta, D Goedecke, J Gaur, V Boerner, J Virchow, D Denich, M von Braun, J AF Mirzabaev, Alisher Guta, Dawit Goedecke, Jann Gaur, Varun Boerner, Jan Virchow, Detlef Denich, Manfred von Braun, Joachim TI Bioenergy, food security and poverty reduction: trade-offs and synergies along the water-energy-food security nexus SO WATER INTERNATIONAL LA English DT Article DE bioenergy; poverty reduction; food security; gender; water-energy-food ID LAND-USE CHANGE; DEVELOPING-COUNTRIES; BIOMASS ENERGY; CLIMATE-CHANGE; EQUILIBRIUM-ANALYSIS; RENEWABLE ENERGY; BIOFUELS; POLICY; CARBON; BIODIVERSITY AB This article provides a review of trade-offs and synergies of bioenergy within the water-energy-food security nexus, with emphasis on developing countries. It explores the links of bioenergy with food security, poverty reduction, environmental sustainability, health, and gender equity. It concludes that applying the nexus perspective to analyses of bioenergy widens the scope for achieving multiple-win outcomes along the above aspects. C1 [Mirzabaev, Alisher; Guta, Dawit; Goedecke, Jann; Gaur, Varun; Boerner, Jan; Virchow, Detlef; Denich, Manfred; von Braun, Joachim] Univ Bonn, Res Dev Ctr, Bonn, Germany. [Goedecke, Jann] Katholieke Univ Leuven, Res Ctr Finance Accountancy & Tax, Brussels, Belgium. RP Mirzabaev, A (reprint author), Univ Bonn, Res Dev Ctr, Bonn, Germany. EM almir@uni-bonn.de OI Goedecke, Jann/0000-0002-2288-8464; Mirzabaev, Alisher/0000-0002-5223-7160 CR Adams PW, 2011, RENEW SUST ENERG REV, V15, P1217, DOI 10.1016/j.rser.2010.09.039 Adrianzen MA, 2013, ECOL ECON, V89, P135, DOI 10.1016/j.ecolecon.2013.02.010 Anthoff D, 2010, OXFORD REV ECON POL, V26, P197, DOI 10.1093/oxrep/grq004 Arndt C, 2012, ENERG ECON, V34, P1922, DOI 10.1016/j.eneco.2012.07.020 Arndt C, 2011, WORLD DEV, V39, P1649, DOI 10.1016/j.worlddev.2011.02.012 Baumol W. J, 1988, THEORY ENV POLICY Bazilian M, 2011, ENERG POLICY, V39, P7896, DOI 10.1016/j.enpol.2011.09.039 Berndes G, 2002, GLOBAL ENVIRON CHANG, V12, P253, DOI 10.1016/S0959-3780(02)00040-7 Bhatt BP, 2004, ENERG POLICY, V32, P1, DOI 10.1016/S0301-4215(02)00237-9 BMU, 2012, REN EN SOURC FIG Bogardi JJ, 2012, CURR OPIN ENV SUST, V4, P35, DOI 10.1016/j.cosust.2011.12.002 Britz W, 2011, AGR ECOSYST ENVIRON, V142, P102, DOI 10.1016/j.agee.2009.11.003 Bryngelsson DK, 2013, ENERG POLICY, V55, P454, DOI 10.1016/j.enpol.2012.12.036 Chakrabarty S, 2013, RENEW SUST ENERG REV, V28, P757, DOI 10.1016/j.rser.2013.08.002 Chaurey A, 2004, ENERG POLICY, V32, P1693, DOI 10.1016/S0301-4215(03)00160-5 Chen Y, 2010, RENEW SUST ENERG REV, V14, P545, DOI 10.1016/j.rser.2009.07.019 Chmutina K, 2014, SUSTAIN CITIES SOC, V10, P122, DOI 10.1016/j.scs.2013.07.001 Demirbas A, 2010, ENERG CONVERS MANAGE, V51, P2738, DOI 10.1016/j.enconman.2010.06.010 Dominguez-Faus R, 2009, ENVIRON SCI TECHNOL, V43, P3005, DOI 10.1021/es802162x Don A, 2012, GCB BIOENERGY, V4, P372, DOI 10.1111/j.1757-1707.2011.01116.x Duflo E., 2008, Surveys and Perspectives Intergrating Environment and Society (SAPIENS), V1, P1 Ewing M, 2009, ENVIRON SCI POLICY, V12, P520, DOI 10.1016/j.envsci.2008.10.002 Fargione J, 2008, SCIENCE, V319, P1235, DOI 10.1126/science.1152747 Fitzherbert EB, 2008, TRENDS ECOL EVOL, V23, P538, DOI 10.1016/j.tree.2008.06.012 Fritsche R., 2010, BIOFUELS BIOPRODUCTS, V4, P692, DOI [10.1002/bbb.v4:6, DOI 10.1002/BBB.V4:6] Fritsche U. R., 2006, SUSTAINABILITY STAND Goldemberg J, 1998, ENERG POLICY, V26, P729 Guta D., 2012, INT J RENEWABLE ENER, V2, P132 Guta DD, 2014, ENERG POLICY, V75, P217, DOI 10.1016/j.enpol.2014.09.017 Guta DD, 2012, ENERG POLICY, V50, P528, DOI 10.1016/j.enpol.2012.07.055 Han JY, 2008, ENERG POLICY, V36, P2154, DOI 10.1016/j.enpol.2008.03.001 Harvey M, 2011, FOOD POLICY, V36, pS40, DOI 10.1016/j.foodpol.2010.11.009 Hellpap, 2013, GLOB C RUR EN ACC NE Heltberg R, 2004, ENERG ECON, V26, P869, DOI 10.1016/j.eneco.2004.04.018 Hira A, 2009, ENERG POLICY, V37, P2450, DOI 10.1016/j.enpol.2009.02.037 HOSIER RH, 1987, RESOUR ENERG, V9, P347, DOI 10.1016/0165-0572(87)90003-X IEA, 2012, TECHN ROADM BIOEN HE Jaeger WK, 2011, RENEW SUST ENERG REV, V15, P4320, DOI 10.1016/j.rser.2011.07.118 Kagan J, 2010, 3 4 GENERATION BIOFU Kanagawa M, 2007, ECOL ECON, V62, P319, DOI 10.1016/j.ecolecon.2006.06.005 Kartha S., 2001, USING MODERN BIOENER Kaygusuz K, 2010, ENERG SOURCE PART B, V5, P133, DOI 10.1080/15567240701764537 Koh LP, 2008, BIOL CONSERV, V141, P2450, DOI 10.1016/j.biocon.2008.08.005 Koh LP, 2007, CONSERV BIOL, V21, P1373, DOI 10.1111/j.1523-1739.2007.00771.x Kowsari R, 2011, ENERG POLICY, V39, P7505, DOI 10.1016/j.enpol.2011.06.030 Lamers P, 2011, RENEW SUST ENERG REV, V15, P2655, DOI 10.1016/j.rser.2011.01.022 Lapola DM, 2010, P NATL ACAD SCI USA, V107, P3388, DOI 10.1073/pnas.0907318107 Lauri P, 2014, ENERG POLICY, V66, P19, DOI 10.1016/j.enpol.2013.11.033 Lehmann P, 2012, ENERGIES, V5, P323, DOI 10.3390/en5020323 Lim WY, 2012, RESPIROLOGY, V17, P20, DOI 10.1111/j.1440-1843.2011.02088.x LUTZENHISER L, 1993, ANNU REV ENERG ENV, V18, P247, DOI 10.1146/annurev.eg.18.110193.001335 Maltsoglou I, 2013, GLOB FOOD SECUR-AGR, V2, P104, DOI 10.1016/j.gfs.2013.04.002 Mangoyana RB, 2011, ENERG POLICY, V39, P1286, DOI 10.1016/j.enpol.2010.11.057 Marcotullio PJ, 2007, WORLD DEV, V35, P1650, DOI 10.1016/j.worlddev.2006.11.006 Martensson K, 2007, ENERG POLICY, V35, P6095, DOI 10.1016/j.enpol.2007.08.007 Masera OR, 1997, BIOMASS BIOENERG, V12, P347, DOI 10.1016/S0961-9534(96)00075-X Murphy JT, 2001, TECHNOL FORECAST SOC, V68, P173, DOI 10.1016/S0040-1625(99)00091-8 Nkonya E, 2014, ASSESSING EC BENEFIT Openshaw K, 2010, BIOMASS BIOENERG, V34, P365, DOI 10.1016/j.biombioe.2009.11.008 Pacala S, 2004, SCIENCE, V305, P968, DOI 10.1126/science.1100103 Palit D, 2011, ENERG POLICY, V39, P4893, DOI 10.1016/j.enpol.2011.06.026 Parikka M, 2004, BIOMASS BIOENERG, V27, P613, DOI 10.1016/j.biombioe.2003.07.005 Pereira MG, 2011, ENERG POLICY, V39, P167, DOI 10.1016/j.enpol.2010.09.025 Peters J, 2008, ENERG POLICY, V36, P1538, DOI 10.1016/j.enpol.2008.01.013 Rajagopal D., 2007, ENVIRON RES LETT, V2, P1 Rathmann R, 2010, RENEW ENERG, V35, P14, DOI 10.1016/j.renene.2009.02.025 Rehfuess E, 2006, ENVIRON HEALTH PERSP, V114, P373, DOI 10.1289/ehp.8603 Reuters, 2008, BAD POL NOT BIOF DRI Ringler C, 2013, CURR OPIN ENV SUST, V5, P617, DOI 10.1016/j.cosust.2013.11.002 Rosegrant MW, 2008, REV AGR ECON, V30, P495, DOI 10.1111/j.1467-9353.2008.00424.x Sathre R, 2011, BIOMASS BIOENERG, V35, P2506, DOI 10.1016/j.biombioe.2011.02.027 Sawyer D, 2008, PHILOS T R SOC B, V363, P1747, DOI 10.1098/rstb.2007.0030 Searchinger T, 2008, SCIENCE, V319, P1238, DOI 10.1126/science.1151861 Semere T, 2007, BIOMASS BIOENERG, V31, P20, DOI 10.1016/j.biombioe.2006.07.001 Sherrington C, 2008, ENERG POLICY, V36, P2504, DOI 10.1016/j.enpol.2008.03.004 Slade R, 2009, BIOTECHNOL BIOFUELS, V2, P1 Smith K. R., 2004, COMP QUANTIFICATION Stegen KS, 2013, ENERG POLICY, V61, P1481, DOI 10.1016/j.enpol.2013.06.130 Sterner M., 2009, BIOENERGY RENEWABLE, V14 UNEP, 2011, GREEN EC PATHW SUST von Braun J., 2008, HIGH FOOD PRICES WHA Von Braun J., 2007, WORLD FOOD SITUATION von Braun Joachim, 2008, RISING FOOD PRICES W Warner E, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/1/015003 Wesseler J., 2010, AgBioForum, V13, P288 White W, 2013, BIOMASS BIOENERG, V57, P97, DOI 10.1016/j.biombioe.2012.12.035 Wicke B, 2011, BIOMASS BIOENERG, V35, P2773, DOI 10.1016/j.biombioe.2011.03.010 Wilkinson P, 2009, LANCET, V374, P1917, DOI 10.1016/S0140-6736(09)61713-X World Health Organization, 2006, FUEL LIF HOUS EN HLT World Health Organization, 2002, WORLD HLTH REP 2002 NR 90 TC 13 Z9 13 U1 12 U2 95 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND SN 0250-8060 EI 1941-1707 J9 WATER INT JI Water Int. PD SEP 19 PY 2015 VL 40 IS 5-6 SI SI BP 772 EP 790 DI 10.1080/02508060.2015.1048924 PG 19 WC Engineering, Civil; Water Resources SC Engineering; Water Resources GA CT8FF UT WOS:000363049700004 DA 2019-04-09 ER PT J AU Monteleone, M Cammerino, ARB Garofalo, P Delivand, MK AF Monteleone, Massimo Cammerino, Anna Rita Bernadette Garofalo, Pasquale Delivand, Mitra Kami TI Straw-to-soil or straw-to-energy? An optimal trade off in a long term sustainability perspective SO APPLIED ENERGY LA English DT Article DE Life cycle assessment (LCA); Soil organic carbon (SOC); GHG emission saving; N2O soil emissions; Land use change (LUC); Agroenergy farming ID NITROUS-OXIDE EMISSIONS; AGRICULTURAL SOILS; N2O EMISSIONS; CARBON SEQUESTRATION; CONVENTIONAL TILLAGE; NORTHERN SPAIN; USE EFFICIENCY; NO-TILLAGE; QUALITY; RESIDUES AB This study examined some management strategies of wheat cultivation system and its sustainability in using straw as an energy feedstock. According to the EU regulatory framework on biofuels, no GHG emissions should be assigned to straws when they are used for energy. Given this relevance in the current energy policy, it is advisable to include all possible marginal effects related to land use, resource utilization and management changes in the comparison of different biomass options. Coherently, an expanded life cycle assessment (LCA) was applied to include the upstream cultivation phase and to make a comparison between "straw to soil" and "straw to energy". Different crop management conditions in Southern Italy were simulated, by using the CropSyst model, to estimate the long-term soil organic carbon and annual N2O soil emissions. Three wheat cropping systems were considered: the conventional single wheat system without straw removal (WO) and with partial straw removal (W1), together with a no-tillage "wheat-wheat-herbage" rotation system with partial straw removal (W2). The results of the simulations were integrated in the LCA to compare fossil energy consumption and greenhouse gas (GHG) emissions of straw-to-electricity with respect to the fossil-based electricity system. The "improved" rotational wheat cropping system (W2) gave the best performance in terms both of GHG savings and fossil displacement, thus stressing that straw use for energy generation in parallel with the optimization of the cropping system are key factors in long-term environmental sustainability. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Monteleone, Massimo; Cammerino, Anna Rita Bernadette; Garofalo, Pasquale; Delivand, Mitra Kami] Univ Foggia, Dept Agr Food & Environm, STAR Res Grp, I-71121 Foggia, Italy. [Delivand, Mitra Kami] HTW Berlin, Engn & Renewable Energy, D-12459 Berlin, Germany. RP Monteleone, M (reprint author), Univ Foggia, Dept Agr Food & Environm, STAR Res Grp, Via Napoli 25, I-71121 Foggia, Italy. EM massimo.monteleone@unifg.it FU European Commission, Seventh Framework Programme (FP7), REGPOT [286269] FX This study is part of the ongoing research within the EU project "Strategic & Technological Advancement in Research on AgroEnergy" (STAR*AgroEnergy), funded by the European Commission, Seventh Framework Programme (FP7), REGPOT 2011-14, Grant Agreement No. 286269 (http://www.star-agroenergy.eu/). CR Alhajj A. S., 2013, ENERGY, V61, P308, DOI DOI 10.1016/J.ENERGY.2013.08.028 Allica JH, 2001, BIOMASS BIOENERG, V21, P249 Alluvione F, 2011, ENERGY, V36, P4468, DOI 10.1016/j.energy.2011.03.075 [Anonymous], ECN PHYLL 2 DAT BIOM Baggs EM, 2006, SOIL TILL RES, V90, P69, DOI 10.1016/j.still.2005.08.006 Baggs EM, 2000, SOIL USE MANAGE, V16, P82 Baggs EM, 2003, PLANT SOIL, V254, P361, DOI 10.1023/A:1025593121839 Bakht J, 2009, SOIL TILL RES, V104, P233, DOI 10.1016/j.still.2009.02.006 Ball BC, 1999, SOIL TILL RES, V53, P29, DOI 10.1016/S0167-1987(99)00074-4 Blanco MI, 2008, ENERG POLICY, V36, P357, DOI 10.1016/j.enpol.2007.09.008 Blanco-Canqui H, 2009, CRIT REV PLANT SCI, V28, P139, DOI 10.1080/07352680902776507 Borin M, 1997, SOIL TILL RES, V40, P209, DOI 10.1016/S0167-1987(96)01057-4 Cherubini F, 2010, APPL ENERG, V87, P47, DOI 10.1016/j.apenergy.2009.08.024 Curran MA, 2005, J CLEAN PROD, V13, P853, DOI 10.1016/j.jclepro.2002.03.001 De Vita P, 2007, SOIL TILL RES, V92, P69, DOI 10.1016/j.still.2006.01.012 Del Gado JA, 2010, J SOIL WATER CONSERV, V65, P111 Farine DR, 2010, BIOFUELS-UK, V1, P547, DOI 10.4155/BFS.10.29 Finnveden G, 2009, J ENVIRON MANAGE, V91, P1, DOI 10.1016/j.jenvman.2009.06.018 Gabrielle B, 2008, BIOMASS BIOENERG, V32, P431, DOI 10.1016/j.biombioe.2007.10.017 Garland GM, 2011, AGR ECOSYST ENVIRON, V144, P423, DOI 10.1016/j.agee.2011.11.001 Johnson LMF, 2010, J SOIL WATER CONSERV, V65, P88 Karp A, 2011, J EXP BOT, V62, P3263, DOI 10.1093/jxb/err099 Khaledian M., 2012, Journal of Biological & Environmental Sciences, V6, P59 Lafond GP, 2009, AGRON J, V101, P529, DOI 10.2134/agronj2008.0118x Lal R, 1997, SOIL TILL RES, V43, P81, DOI 10.1016/S0167-1987(97)00036-6 Lesschen JP, 2011, ENVIRON POLLUT, V159, P3215, DOI 10.1016/j.envpol.2011.04.001 Limon-Ortega A, 2008, EUR J AGRON, V29, P21, DOI 10.1016/j.eja.2008.01.008 Liu CY, 2011, AGR ECOSYST ENVIRON, V140, P226, DOI 10.1016/j.agee.2010.12.009 Liu XJ, 2005, PLANT SOIL, V276, P235, DOI 10.1007/s11104-005-4894-4 Carvalho JLN, 2009, SCI AGR, V66, P233, DOI 10.1590/S0103-90162009000200013 Pellerano A., 2007, STUDIO VALORIZZAZION Powlson DS, 2008, WASTE MANAGE, V28, P741, DOI 10.1016/j.wasman.2007.09.024 Powlson DS, 2011, EUR J SOIL SCI, V62, P42, DOI 10.1111/j.1365-2389.2010.01342.x Rees RM, 2013, BIOGEOSCIENCES, V10, P2671, DOI 10.5194/bg-10-2671-2013 Rinaldi M, 2000, ACTA HORTIC, P159, DOI 10.17660/ActaHortic.2000.537.16 Rochette P, 2008, SOIL TILL RES, V101, P97, DOI 10.1016/j.still.2008.07.011 Roelandt C, 2005, GLOBAL CHANGE BIOL, V11, P1701, DOI 10.1111/j.1365-2486.2005.01025.x Sastre CM, 2014, APPL ENERG, V114, P737, DOI 10.1016/j.apenergy.2013.08.035 Shan J, 2013, ATMOS ENVIRON, V71, P170, DOI 10.1016/j.atmosenv.2013.02.009 Shrestha A, 2006, U CALIFORNIA PUBLICA, V8200 Stockle CO, 2004, CROPSYST 4 0 USER MA Stockle CO, 2009, CROPSYST VERSION 4 1 Tilman D, 2009, SCIENCE, V325, P270, DOI 10.1126/science.1177970 Valentine J, 2012, GCB BIOENERGY, V4, P1, DOI 10.1111/j.1757-1707.2011.01111.x Whittaker C, 2014, APPL ENERG, V122, P207, DOI 10.1016/j.apenergy.2014.01.091 Whittaker C, 2011, ENERG POLICY, V39, P5950, DOI 10.1016/j.enpol.2011.06.054 NR 46 TC 22 Z9 23 U1 4 U2 61 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0306-2619 EI 1872-9118 J9 APPL ENERG JI Appl. Energy PD SEP 15 PY 2015 VL 154 BP 891 EP 899 DI 10.1016/j.apenergy.2015.04.108 PG 9 WC Energy & Fuels; Engineering, Chemical SC Energy & Fuels; Engineering GA CP4TI UT WOS:000359875100083 DA 2019-04-09 ER PT J AU Bing, XY Bloemhof-Ruwaard, J Chaabane, A van der Vorst, J AF Bing, Xiaoyun Bloemhof-Ruwaard, Jacqueline Chaabane, Amin van der Vorst, Jack TI Global reverse supply chain redesign for household plastic waste under the emission trading scheme SO JOURNAL OF CLEANER PRODUCTION LA English DT Article DE Sustainability; Reverse logistics; Emission trading scheme; Global supply chain; Plastic recycling ID NETWORK DESIGN; LOGISTICS; MANAGEMENT; RECOVERY AB With increasing global resource scarcity, waste becomes a resource that can be managed globally. A reverse supply chain network for waste recycling needs to process all the waste with minimum costs and envitonmental impact. As re-processing of waste is one of the major sources of pollution in the recycling processes, a mechanism is needed to control and reduce the emission impact in the re-processing as a key to facilitate the globalized reverse supply chain and avoid spreading pollutants overseas. Emission Trading Schemes (ETS) can function as policy instruments for controlling emissions. The ETS introduces a trade-off between the economic efficiency and the environmental impacts. ETS has been implemented in Europe and is developing rapidly in China too. The aim of the research is to re-design a reverse supply chain from a global angle based on a case study conducted on household plastic waste distributed from Europe to China. Emission trading restrictions are set on the processing plants in both Europe and China. We modeled a network optimization problem using integer programing approach, allowing the reallocation of intermediate processing plants under emission trading restrictions. Optimization results show that global relocation of re-processors leads to both a reduction of total costs and total transportation emission. ETS applied to re-processors further helps to reduce emissions from both reprocessing and transportation sectors. Carbon cap should be carefully set in order to be effective. With a given carbon cap, the model also shows the effective carbon price range. These results give an insight into the feasibility of building a global reverse supply chain for household plastic waste recycling and demonstrate the impact of ETS on the network design. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Bing, Xiaoyun; Bloemhof-Ruwaard, Jacqueline; van der Vorst, Jack] Wageningen Univ, Operat Res & Logist, NL-6706 KN Wageningen, Netherlands. [Chaabane, Amin] Ecole Technol Super, Dept Automated Mfg Engn, Montreal, PQ H3C 1K3, Canada. RP Bing, XY (reprint author), Wageningen Univ, Operat Res & Logist, Hollandseweg 1,Bldg 201, NL-6706 KN Wageningen, Netherlands. EM bingxiaoyun@gmail.com; jacqueline.bloemhof@wur.nl CR [Anonymous], 2012, END CHEAP CHINA Aramyan L. H., 2011, Journal on Chain and Network Science, V11, P177, DOI 10.3920/JCNS2011.Qpork8 Atasu A, 2010, SUPPLY CHAIN INTEGR, P23 Bing XY, 2013, INT J PHYS DISTR LOG, V43, P452, DOI 10.1108/IJPDLM-04-2012-01134 Bing XY, 2014, FLEX SERV MANUF J, V26, P119, DOI 10.1007/s10696-012-9149-0 Chaabane A, 2012, INT J PROD ECON, V135, P37, DOI 10.1016/j.ijpe.2010.10.025 Cramer J., 2007, FRAMEWORK AGREEMENT De Brito Marisa P., 2005, REVERSE LOGISTICS RE Diabat A, 2009, IN C IND ENG ENG MAN, P523, DOI 10.1109/IEEM.2009.5373289 Fahimnia B, 2013, J CLEAN PROD, V59, P210, DOI 10.1016/j.jclepro.2013.06.056 Fleischmann M, 2000, OMEGA-INT J MANAGE S, V28, P653, DOI 10.1016/S0305-0483(00)00022-0 Fleischmann M, 1997, EUR J OPER RES, V103, P1, DOI 10.1016/S0377-2217(97)00230-0 Ginter Peter M, 1978, CALIF MANAG REV, V20 Hamilton S., 2013, MAERSK 4 RATE RISES Han GY, 2012, CHINAS CARBON EMISSI Jackson S., 2006, PLASTIC RECYCLING Seuring S, 2008, J CLEAN PROD, V16, P1699, DOI 10.1016/j.jclepro.2008.04.020 Sheu JB, 2012, INT J PROD ECON, V138, P201, DOI 10.1016/j.ijpe.2012.03.024 Tian HZ, 2013, J HAZARD MATER, V252, P142, DOI 10.1016/j.jhazmat.2013.02.013 van Hoek R.I., 2001, SUPPLY CHAIN MANAG I, V4, P18 Veiga MM, 2013, WASTE MANAGE RES, V31, P26, DOI 10.1177/0734242X13499812 Zhang DQ, 2010, J ENVIRON MANAGE, V91, P1623, DOI 10.1016/j.jenvman.2010.03.012 NR 22 TC 33 Z9 35 U1 3 U2 78 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-6526 EI 1879-1786 J9 J CLEAN PROD JI J. Clean Prod. PD SEP 15 PY 2015 VL 103 BP 28 EP 39 DI 10.1016/j.jclepro.2015.02.019 PG 12 WC Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences SC Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology GA CL5HQ UT WOS:000356990800003 DA 2019-04-09 ER PT J AU Enax, L Krapp, V Piehl, A Weber, B AF Enax, Laura Krapp, Vanessa Piehl, Alexandra Weber, Bernd TI Effects of social sustainability signaling on neural valuation signals and taste-experience of food products SO FRONTIERS IN BEHAVIORAL NEUROSCIENCE LA English DT Article DE functional magnetic resonance imaging; food choice; food labels; ventral striatum; vmPFC; sustainability; Fair Trade ID ANTERIOR CINGULATE CORTEX; VENTROMEDIAL PREFRONTAL CORTEX; DECISION-MAKING; FUNCTIONAL CONNECTIVITY; SUBJECTIVE VALUE; ORBITOFRONTAL CORTEX; MORAL JUDGMENT; PSYCHOPHYSIOLOGICAL INTERACTIONS; NUCLEUS-ACCUMBENS; COGNITIVE CONTROL AB Value-based decision making occurs when individuals choose between different alternatives and place a value on each alternative and its attributes. Marketing actions frequently manipulate product attributes, by adding, e.g., health claims on the packaging. A previous imaging study found that an emblem for organic products increased willingness to pay (WTP) and activity in the ventral striatum (VS). The current study investigated neural and behavioral processes underlying the influence of Fair Trade (FT I) labeling on food valuation and choice. Sustainability is an important product attribute for many consumers, with FT signals being one way to highlight ethically sustainable production. Forty participants valuated products in combination with an FT emblem or no emblem and stated their WTP in a bidding task while in an MRI scanner. After that, participants tasted objectively identical chocolates, presented either as "FT" or as "conventionally produced". In the fMRI task, WTP was significantly higher for FT products. FT labeling increased activity in regions important for reward-processing and salience, that is, in the VS, anterior and posterior cingulate, as well as superior frontal gyrus. Subjective value, that is, WTP was correlated with activity in the ventromedial prefrontal cortex (vmPFC). We find that the anterior cingulate, VS and superior frontal gyrus exhibit task related increases in functional connectivity to the vmPFC when an FT product was evaluated. Effective connectivity analyses revealed a highly probable directed modulation of the vmPFC by those three regions, suggesting a network which alters valuation processes. We also found a significant taste-placebo effect, with higher experienced taste pleasantness and intensity for FT labeled chocolates. Our results reveal a possible neural mechanism underlying valuation processes of certified food products. The results are important in light of understanding current marketing trends as well as designing future interventions that aim at positively influencing food choice. C1 [Enax, Laura; Krapp, Vanessa; Piehl, Alexandra; Weber, Bernd] Univ Hosp Bonn, Dept Epileptol, Bonn, Germany. [Enax, Laura; Krapp, Vanessa; Piehl, Alexandra; Weber, Bernd] Life & Brain Ctr, Dept NeuroCognit Imaging, Bonn, Germany. [Enax, Laura; Krapp, Vanessa; Piehl, Alexandra; Weber, Bernd] Univ Bonn, Ctr Econ & Neurosci, D-53127 Bonn, Germany. RP Weber, B (reprint author), Univ Bonn, Ctr Econ & Neurosci, Nachtigallenweg 86, D-53127 Bonn, Germany. EM bernd.weber@ukb.uni-bonn.de RI Weber, Bernd/H-5244-2012 OI Weber, Bernd/0000-0002-7811-9605 FU Heisenberg Grant [DEC We 4427/3-2]; BMBF conceptual phase for the competence-cluster DietBB [01EA1404] FX BW was supported by a Heisenberg Grant (DEC We 4427/3-2). LE was supported by the BMBF conceptual phase for the competence-cluster DietBB (01EA1404). CR Allen MW, 2008, J CONSUM RES, V35, P294, DOI 10.1086/590319 ALLISON RI, 1964, J MARKETING RES, V1, P36, DOI 10.2307/3150054 Arias-Carrion Oscar, 2010, Int Arch Med, V3, P24, DOI 10.1186/1755-7682-3-24 Aupperle Robin L, 2010, Dialogues Clin Neurosci, V12, P517 Bartra O, 2013, NEUROIMAGE, V76, P412, DOI 10.1016/j.neuroimage.2013.02.063 BEACH TG, 1987, BRAIN RES, V408, P251, DOI 10.1016/0006-8993(87)90382-9 Beaver JD, 2006, J NEUROSCI, V26, P5160, DOI 10.1523/JNEUROSCI.0350-06.2006 BECKER GM, 1964, BEHAV SCI, V9, P226, DOI 10.1002/bs.3830090304 Behrens TEJ, 2007, NAT NEUROSCI, V10, P1214, DOI 10.1038/nn1954 Bolker BM, 2009, TRENDS ECOL EVOL, V24, P127, DOI 10.1016/j.tree.2008.10.008 Boorman ED, 2009, NEURON, V62, P733, DOI 10.1016/j.neuron.2009.05.014 Botvinick MM, 2001, PSYCHOL REV, V108, P624, DOI 10.1037//0033-295X.108.3.624 Bratanova B, 2015, APPETITE, V91, P137, DOI 10.1016/j.appet.2015.04.006 Bush G, 1999, BIOL PSYCHIAT, V45, P1542, DOI 10.1016/S0006-3223(99)00083-9 Cai XY, 2012, J NEUROSCI, V32, P3791, DOI 10.1523/JNEUROSCI.3864-11.2012 CHANG HT, 1987, BRAIN RES, V426, P197, DOI 10.1016/0006-8993(87)90443-4 Clithero JA, 2014, SOC COGN AFFECT NEUR, V9, P1289, DOI 10.1093/scan/nst106 Cohen MX, 2005, COGNITIVE BRAIN RES, V23, P61, DOI 10.1016/j.cogbrainres.2005.01.010 Coutlee CG, 2012, BRAIN RES, V1428, P3, DOI 10.1016/j.brainres.2011.05.053 Davis KD, 2000, J NEUROPHYSIOL, V83, P3575 Daw ND, 2006, NATURE, V441, P876, DOI 10.1038/nature04766 de Araujo IE, 2005, NEURON, V46, P671, DOI 10.1016/j.neuron.2005.04.021 de Ferran F, 2007, FOOD QUAL PREFER, V18, P218, DOI 10.1016/j.foodqual.2005.11.001 Deichmann R, 2003, NEUROIMAGE, V19, P430, DOI 10.1016/S1053-8119(03)00073-9 den Ouden HEM, 2005, NEUROIMAGE, V28, P787, DOI 10.1016/j.neuroimage.2005.05.001 Enax L, 2015, OBESITY, V23, P786, DOI 10.1002/oby.21027 Erk S, 2002, NEUROREPORT, V13, P2499, DOI 10.1097/01.wnr.0000048542.12213.60 Everitt BJ, 2005, NAT NEUROSCI, V8, P1481, DOI 10.1038/nn1579 FitzGerald THB, 2012, J NEUROSCI, V32, P16417, DOI 10.1523/JNEUROSCI.3254-12.2012 Floresco SB, 2008, COGN AFFECT BEHAV NE, V8, P375, DOI 10.3758/CABN.8.4.375 Friston KJ, 1997, NEUROIMAGE, V6, P218, DOI 10.1006/nimg.1997.0291 Gitelman DR, 2003, NEUROIMAGE, V19, P200, DOI 10.1016/S1053-8119(03)00058-2 Goldstein RZ, 2002, AM J PSYCHIAT, V159, P1642, DOI 10.1176/appi.ajp.159.10.1642 Grabenhorst F, 2008, CEREB CORTEX, V18, P1549, DOI 10.1093/cercor/bhm185 Greene J, 2002, TRENDS COGN SCI, V6, P517, DOI 10.1016/S1364-6613(02)02011-9 Greene JD, 2004, NEURON, V44, P389, DOI 10.1016/j.neuron.2004.09.027 Greene JD, 2001, SCIENCE, V293, P2105, DOI 10.1126/science.1062872 Greicius MD, 2009, CEREB CORTEX, V19, P72, DOI 10.1093/cercor/bhn059 GunneGrankvist A. B., 2001, J ENVIRON PSYCHOL, V21, P405, DOI [10.1006/jevp.2001.0234, DOI 10.1006/JEVP.2001.0234] HABER SN, 1995, J NEUROSCI, V15, P4851 HABER SN, 1990, J COMP NEUROL, V293, P282, DOI 10.1002/cne.902930210 Haber SN, 2011, NEUROBIOLOGY SENSATI Haber SN, 2006, J NEUROSCI, V26, P8368, DOI 10.1523/JNEUROSCI.0271-06.2006 Haber SN, 2010, NEUROPSYCHOPHARMACOL, V35, P4, DOI 10.1038/npp.2009.129 Hahn B, 2007, CEREB CORTEX, V17, P1664, DOI 10.1093/cercor/bhl075 Hare TA, 2011, J NEUROSCI, V31, P11077, DOI 10.1523/JNEUROSCI.6383-10.2011 Hare TA, 2009, SCIENCE, V324, P646, DOI 10.1126/science.1168450 HEDREEN JC, 1991, J COMP NEUROL, V304, P569, DOI 10.1002/cne.903040406 Heilbronner SR, 2011, FRONT NEUROSCI-SWITZ, V5, DOI 10.3389/fnins.2011.00055 Hickey C, 2010, J NEUROSCI, V30, P11096, DOI 10.1523/JNEUROSCI.1026-10.2010 Honkanen P., 2006, J CONSUM BEHAV, V5, P420, DOI DOI 10.1002/CB.190 Johnson MK, 2006, SOC COGN AFFECT NEUR, V1, P56, DOI 10.1093/scan/nsl004 Kable JW, 2007, NAT NEUROSCI, V10, P1625, DOI 10.1038/nn2007 Kalivas PW, 2005, AM J PSYCHIAT, V162, P1403, DOI 10.1176/appi.ajp.162.8.1403 Kennerley SW, 2006, NAT NEUROSCI, V9, P940, DOI 10.1038/nn1724 Kerns JG, 2004, SCIENCE, V303, P1023, DOI 10.1126/science.1089910 Koechlin E, 1999, NATURE, V399, P148 Koechlin E, 2007, SCIENCE, V318, P594, DOI 10.1126/science.1142995 Lee L, 2006, PSYCHOL SCI, V17, P1054, DOI 10.1111/j.1467-9280.2006.01829.x Leech R, 2014, BRAIN, V137, P12, DOI 10.1093/brain/awt162 Leech R, 2012, J NEUROSCI, V32, P215, DOI 10.1523/JNEUROSCI.3689-11.2012 Lieberman MD, 2009, SOC COGN AFFECT NEUR, V4, P423, DOI 10.1093/scan/nsp052 Linder NS, 2010, NEUROIMAGE, V53, P215, DOI 10.1016/j.neuroimage.2010.05.077 MacDonald AW, 2000, SCIENCE, V288, P1835, DOI 10.1126/science.288.5472.1835 Maunsell JHR, 2004, TRENDS COGN SCI, V8, P261, DOI 10.1016/j.tics.2004.04.003 McClure SM, 2004, NEURON, V44, P379, DOI 10.1016/j.neuron.2004.09.019 McCoy AN, 2003, NEURON, V40, P1031, DOI 10.1016/S0896-6273(03)00719-0 Menon V, 2010, BRAIN STRUCT FUNCT, V214, P655, DOI 10.1007/s00429-010-0262-0 MOGENSON GJ, 1980, PROG NEUROBIOL, V14, P69, DOI 10.1016/0301-0082(80)90018-0 Ng J, 2011, APPETITE, V57, P65, DOI 10.1016/j.appet.2011.03.017 Noonan MP, 2011, J NEUROSCI, V31, P14399, DOI 10.1523/JNEUROSCI.6456-10.2011 O'Doherty JP, 2002, NEURON, V33, P815, DOI 10.1016/S0896-6273(02)00603-7 O'Reilly JX, 2012, SOC COGN AFFECT NEUR, V7, P604, DOI 10.1093/scan/nss055 OLDS J, 1954, J COMP PHYSIOL PSYCH, V47, P419, DOI 10.1037/h0058775 Pearson JM, 2011, TRENDS COGN SCI, V15, P143, DOI 10.1016/j.tics.2011.02.002 Philiastides MG, 2013, PSYCHOL SCI, V24, P1208, DOI 10.1177/0956797612470701 Philiastides MG, 2010, P NATL ACAD SCI USA, V107, P9430, DOI 10.1073/pnas.1001732107 Pinheiro JC, 2000, MIXED EFFECTS MODELS Plassmann H, 2008, P NATL ACAD SCI USA, V105, P1050, DOI 10.1073/pnas.0706929105 Plassmann H, 2007, J NEUROSCI, V27, P9984, DOI 10.1523/JNEUROSCI.2131-07.2007 Plassmann H, 2015, J MARKETING RES, V52, P493, DOI 10.1509/jmr.13.0613 Plassmann H, 2010, J NEUROSCI, V30, P10799, DOI 10.1523/JNEUROSCI.0788-10.2010 Porrino LJ, 2007, PROG NEURO-PSYCHOPH, V31, P1593, DOI 10.1016/j.pnpbp.2007.08.040 Quilodran R, 2008, NEURON, V57, P314, DOI 10.1016/j.neuron.2007.11.031 Raine A, 2006, SOC COGN AFFECT NEUR, V1, P203, DOI 10.1093/scan/nsl033 Rangel A, 2008, NAT REV NEUROSCI, V9, P545, DOI 10.1038/nrn2357 Rangel A, 2013, NAT NEUROSCI, V16, P1717, DOI 10.1038/nn.3561 Roelofs A, 2006, P NATL ACAD SCI USA, V103, P13884, DOI 10.1073/pnas.0606265103 Rosa MJ, 2012, J NEUROSCI METH, V208, P66, DOI 10.1016/j.jneumeth.2012.04.013 SALAMONE JD, 1994, BEHAV BRAIN RES, V61, P117, DOI 10.1016/0166-4328(94)90153-8 Schuldt JP, 2012, SOC PSYCHOL PERS SCI, V3, P581, DOI 10.1177/1948550611431643 Schultz W, 2006, ANNU REV PSYCHOL, V57, P87, DOI 10.1146/annurev.psych.56.091103.070229 Seeley WW, 2007, J NEUROSCI, V27, P2349, DOI 10.1523/JNEUROSCI.5587-06.2007 Shiv B, 2005, J MARKETING RES, V42, P383, DOI 10.1509/jmkr.2005.42.4.383 Smith DV, 2014, SOC COGN AFFECT NEUR, V9, P2017, DOI 10.1093/scan/nsu005 Sorqvist P, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0080719 Vassena E, 2014, NEUROPSYCHOLOGIA, V59, P112, DOI 10.1016/j.neuropsychologia.2014.04.019 Volkow ND, 2006, J NEUROSCI, V26, P6583, DOI 10.1523/JNEUROSCI.1544-06.2006 Walton ME, 2007, NEUROIMAGE, V36, pT142, DOI 10.1016/j.neuroimage.2007.03.029 White TP, 2010, SCHIZOPHR RES, V123, P105, DOI 10.1016/j.schres.2010.07.020 Winter B, 2013, ARXIV13085499 Wunderlich K, 2010, P NATL ACAD SCI USA, V107, P15005, DOI 10.1073/pnas.1002258107 Yu HB, 2013, BRAIN COGNITION, V82, P291, DOI 10.1016/j.bandc.2013.04.011 ZABORSZKY L, 1992, BRAIN RES, V570, P92, DOI 10.1016/0006-8993(92)90568-T Zink CF, 2003, J NEUROSCI, V23, P8092 NR 105 TC 7 Z9 7 U1 1 U2 32 PU FRONTIERS MEDIA SA PI LAUSANNE PA PO BOX 110, EPFL INNOVATION PARK, BUILDING I, LAUSANNE, 1015, SWITZERLAND SN 1662-5153 J9 FRONT BEHAV NEUROSCI JI Front. Behav. Neurosci. PD SEP 8 PY 2015 VL 9 AR 247 DI 10.3389/fnbeh.2015.00247 PG 15 WC Behavioral Sciences; Neurosciences SC Behavioral Sciences; Neurosciences & Neurology GA CR3KK UT WOS:000361231200001 PM 26441576 OA DOAJ Gold, Green Published DA 2019-04-09 ER PT J AU Elder, SD Dauvergne, P AF Elder, Sara D. Dauvergne, Peter TI Farming for Walmart: the politics of corporate control and responsibility in the global South SO JOURNAL OF PEASANT STUDIES LA English DT Article DE corporate social responsibility; food security; smallholder farmers; supply chains; Walmart; retailers ID ENVIRONMENTAL GOVERNANCE; MARKETING PREFERENCES; VALUE CHAINS; FAIR TRADE; STANDARDS; COUNTRIES; FARMERS; SYSTEMS; LIMITS; CSR AB To analyse corporate social responsibility (CSR) as a business tool and as a way to promote food security in the global South, this article draws on 65 interviews with supply chain personnel and a 2013 survey of 250 smallholder farmers in Nicaragua. Contrary to private governance literature, Walmart's efforts to control supply chains in Nicaragua are not advancing rural sustainability; feelings of mistrust and unfairness persist among farmers, and many are returning to local markets to regain independence. This analysis extends our understanding of why CSR is failing to help agrarian societies and confirms CSR as principally a business strategy. C1 [Elder, Sara D.] Univ British Columbia, Inst Resources Environm & Sustainabil, Vancouver, BC V5Z 1M9, Canada. [Dauvergne, Peter] Univ British Columbia, Int Relat, Vancouver, BC V5Z 1M9, Canada. RP Elder, SD (reprint author), Univ British Columbia, Inst Resources Environm & Sustainabil, Vancouver, BC V5Z 1M9, Canada. EM elder.sara@gmail.com; peter.dauvergne@ubc.ca OI Dauvergne, Peter/0000-0003-2887-8168 FU International Development Research Centre in Ottawa; Social Sciences and Humanities Research Council of Canada; Liu Institute for Global Issues at the University of British Columbia; Canadian Association for Studies in Cooperation FX We are grateful for funding from the International Development Research Centre in Ottawa, the Social Sciences and Humanities Research Council of Canada, the Liu Institute for Global Issues at the University of British Columbia, and the Canadian Association for Studies in Cooperation. CR Amekawa Y, 2013, J PEASANT STUD, V40, P189, DOI 10.1080/03066150.2012.746958 [Anonymous], 2014, CNN Arnould EJ, 2009, J PUBLIC POLICY MARK, V28, P186, DOI 10.1509/jppm.28.2.186 Auld G., 2014, CONSTRUCTING PRIVATE Auld G, 2008, ANNU REV ENV RESOUR, V33, P187, DOI 10.1146/annurev.environ.33.013007.103754 Bacon CM, 2010, J PEASANT STUD, V37, P111, DOI 10.1080/03066150903498796 Barrett CB, 2012, WORLD DEV, V40, P715, DOI 10.1016/j.worlddev.2011.09.006 Barrientos S, 2007, THIRD WORLD Q, V28, P713, DOI 10.1080/01436590701336580 Bartley Tim, 2010, BUSINESS POLITICS, V12, P1, DOI DOI 10.2202/1469-3569.1321 Beal B. D., 2014, CORPORATE SOCIAL RES Bernstein S, 2007, REGUL GOV, V1, P347, DOI 10.1111/j.1748-5991.2007.00021.x Blandon J, 2009, AGRIBUSINESS, V25, P251, DOI 10.1002/agr.20195 Buthe Tim, 2010, BUSINESS POLITICS, V12, P3, DOI DOI 10.2202/1469-3569.1328 Cashore B, 2002, GOVERNANCE, V15, P503, DOI 10.1111/1468-0491.00199 Cashore B., 2004, GOVERNING MARKETS FO Catholic Relief Services (CRS), 2012, ACORDAR PROJ FIN REP Clapp J, 2009, FOOD HEALTH ENVIRON, V4, P1 Clapp J, 2009, FOOD HEALTH ENVIRON, V4, P1 Coates J., 2007, HOUSEHOLD FOOD INSEC, V3 Conlumino, 2014, GLOB FOOD GROC RET 2 Dauvergne P, 2008, SHADOWS OF CONSUMPTION: CONSEQUENCES FOR THE GLOBAL ENVIRONMENT, P1 Dauvergne P., 2013, ECOBUSINESS BIG BRAN Dauvergne P, 2014, PROTEST INC CORPORAT Dauvergne P, 2012, GLOBAL ENVIRON CHANG, V22, P36, DOI 10.1016/j.gloenvcha.2011.10.007 Dauvergne P, 2010, ORGAN ENVIRON, V23, P132, DOI 10.1177/1086026610368370 Deloitte, 2014, GLOB POW RET 2014 RE Elder SD, 2014, PROG DEV STUD, V14, P77, DOI 10.1177/1464993413504354 Falkner R, 2008, BUSINESS POWER CONFL FAO, 2009, AGR HDB FOOD RET FAO, 2002, STAT FOOD INS WORLD Foreign Affairs Trade and Development Canada (DFATD), 2014, PRIV SECT DEV Frynas JG, 2008, CORP GOV-OXFORD, V16, P274, DOI 10.1111/j.1467-8683.2008.00691.x Fuchs D., 2010, BUSINESS POLITICS, V12, P1469 Fuchs D. A., 2007, BUSINESS POWER GLOBA Fuchs D, 2011, AGR HUM VALUES, V28, P353, DOI 10.1007/s10460-009-9236-3 Gereffi G, 2005, REV INT POLIT ECON, V12, P78, DOI 10.1080/09692290500049805 Gereffi G., 1994, ORG BUYER DRIVEN GLB Graz J-C., 2012, TRANSNATIONAL PRIVAT Gulbrandsen L H, 2004, GLOBAL ENVIRON POLIT, V4, P75, DOI DOI 10.1162/152638004323074200 Isakson SR, 2014, J PEASANT STUD, V41, P749, DOI 10.1080/03066150.2013.874340 Jaffee D, 2007, BREWING JUSTICE: FAIR TRADE COFFEE, SUSTAINABILITY, AND SURVIVAL, P1 Kalfagianni A, 2014, J BUS ETHICS, V122, P307, DOI 10.1007/s10551-013-1747-6 KLEIN Naomi, 2000, NO LOGO TAKING AIM B La Colonia, 2014, TIENDAS LaChapelle J., 2012, SPOTLIGHT WALMART TA Lee J, 2012, P NATL ACAD SCI USA, V109, P12326, DOI 10.1073/pnas.0913714108 Levy D.L., 2005, BUSINESS GLOBAL ENV Lister J, 2011, CORPORATE SOCIAL RESPONSIBILITY AND THE STATE: INTERNATIONAL APPROACHES TO FOREST CO-REGULATION, P1 MacDonald C., 2008, GREEN INC ENV INSIDE Maertens M, 2009, WORLD DEV, V37, P161, DOI 10.1016/j.worlddev.2008.04.006 Mayer F, 2010, BUS POLIT, V12, DOI 10.2202/1469-3569.1325 McMichael P, 2013, THIRD WORLD Q, V34, P671, DOI 10.1080/01436597.2013.786290 Michelson H, 2013, J DEV STUD, V49, P917, DOI 10.1080/00220388.2013.785525 Michelson HC, 2013, AM J AGR ECON, V95, P628, DOI 10.1093/ajae/aas139 Newell P, 2005, INT AFF, V81, P541, DOI 10.1111/j.1468-2346.2005.00468.x Newell P, 2007, THIRD WORLD Q, V28, P669, DOI 10.1080/01436590701336507 Newell Peter, 2001, GLOBAL ENVIRON POLIT, V1, P35, DOI DOI 10.1162/152638001570769 Reardon T., 2002, Development Policy Review, V20, P371, DOI 10.1111/1467-7679.00178 Reardon T., 2006, RETAIL LED TRANSFORA Reardon T., 2007, HDB AGR EC, V3, P2807, DOI DOI 10.1016/ Reardon T, 2009, WORLD DEV, V37, P1717, DOI 10.1016/j.worlddev.2008.08.023 Rogers Heather, 2010, GREEN GONE WRONG OUR Schipmann C, 2011, FOOD POLICY, V36, P667, DOI 10.1016/j.foodpol.2011.07.004 Tesco, 2014, TESC SOC REP 2013 United Nations Statistics Division, 2014, UN DAT USAID, 2014, CORP Utting P, 2010, INT POLIT ECON SER, P1, DOI 10.1057/9780230246966 Utting P., 2008, CORPORATE ACCOUNTABI Utting P, 2012, BUSINESS REGULATION Utting P, 2007, THIRD WORLD Q, V28, P697, DOI 10.1080/01436590701336572 Utting P, 2008, DEV CHANGE, V39, P959, DOI 10.1111/j.1467-7660.2008.00523.x van der Ven H, 2014, BUS POLIT, V16, P31, DOI 10.1515/bap-2013-0024 Vandenbergh MP, 2007, UCLA LAW REV, V54, P913 Veltmeyer H, 2009, J PEASANT STUD, V36, P393, DOI 10.1080/03066150902928363 Vogel D, 2008, ANNU REV POLIT SCI, V11, P261, DOI 10.1146/annurev.polisci.11.053106.141706 Vogel D, 2010, BUS SOC, V49, P68, DOI 10.1177/0007650309343407 Walmart, 2011, 2011 GLOB RESP REP Walmart, 2010, WALM UNV GLOB SUST A Walmart, 2013, 2013 GLOB RESP REP Walmart, 2014, LOC MARK Walmart, 2014, SUSTAINABLE AGR Walmart, 2014, OUR LOC Walmart, 2014, 2014 ANN REP WALM Walmart, 2014, 2014 GLOB RESP REP Walmart, 2006, 2006 ANN REP WALM Watts M, 1994, LIVING CONTRACT CONT WBCSD, 2009, WAL MARTS FERTILE PA Wiegel J., 2012, THESIS U WISCONSIN M Wiesmann Doris, 2008, VALIDATION FOOD FREQ NR 89 TC 10 Z9 10 U1 2 U2 14 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0306-6150 EI 1743-9361 J9 J PEASANT STUD JI J. Peasant Stud. PD SEP 3 PY 2015 VL 42 IS 5 BP 1029 EP 1046 DI 10.1080/03066150.2015.1043275 PG 18 WC Anthropology; Development Studies SC Anthropology; Development Studies GA DC7ET UT WOS:000369382600002 DA 2019-04-09 ER PT J AU De Ville, F Siles-Brugge, G AF De Ville, Ferdi Siles-Bruegge, Gabriel TI The Transatlantic Trade and Investment Partnership and the Role of Computable General Equilibrium Modelling: An Exercise in 'Managing Fictional Expectations' SO NEW POLITICAL ECONOMY LA English DT Article DE Transatlantic Trade and Investment Partnership (TTIP); computable general equilibrium (CGE); 'fictional expectations'; economic sociology; European Union (EU); trade policy ID SUSTAINABILITY IMPACT ASSESSMENT; POLITICAL-ECONOMY; MUTUAL RECOGNITION; GOVERNANCE; DISCOURSE; IPE; GLOBALIZATION; AMERICAN; BRITISH; SYSTEM AB Negotiations between the world's two largest trading partners, the European Union (EU) and the USA, on a Transatlantic Trade and Investment Partnership (TTIP) have been ongoing since July 2013. Anticipating the controversy the agreement has sparked, EU trade policy-makers in the European Commission have put considerable effort into discursively framing the agreement on their terms. Drawing on computable general equilibrium (CGE) models of the agreement's likely impact, the central claim has been that the TTIP promises to deliver much-needed growth and jobs' without stretching the public purse at a time of austerity. Our main argument in this article, drawing on the insights of the economic sociologist Jens Beckert, is that these CGE models - and the figures they have produced - represent an important exercise in managing of fictional expectations'. The models make overly optimistic predictions about the ability of the EU and the USA to eliminate regulatory barriers to trade - which are unlikely to be realised in the face of considerable political opposition - and also downplay the potential deregulatory impact of an agreement. Rather than act as a reliable guide to future outcomes, we thus show that these models serve the pro-liberalisation agenda of the European Commission and other advocates of the TTIP. C1 [De Ville, Ferdi] Univ Ghent, Ctr European Union Studies, B-9000 Ghent, Belgium. [Siles-Bruegge, Gabriel] Univ Manchester, Sch Social Sci, Manchester M13 9PL, Lancs, England. RP De Ville, F (reprint author), Univ Ghent, Ctr European Union Studies, Univ Str 8, B-9000 Ghent, Belgium. EM ferdi.deville@ugent.be; gabriel.siles-brugge@manchester.ac.uk OI De Ville, Ferdi/0000-0003-4415-758X FU UK Economic and Social Research Council (ESRC) FX Gabriel Siles-Brugge would also like to acknowledge the financial support of the UK Economic and Social Research Council (ESRC) in undertaking some of the theoretical work underpinning this article. CR Abdelal R., 2010, CONSTRUCTING INT EC Ackerman F., 2004, FLAWED FDN GEN EQUIL Ackerman F., 2004, FLAWED FDN GEN EQUIL, P14 Ackerman F, 2008, INT J POLIT ECON, V37, P50, DOI 10.2753/IJP0891-1916370103 AKERLOF, 1970, Q J ECON, V84, P488, DOI DOI 10.2307/1879431 Arrow KJ, 1954, ECONOMETRICA, V22, P265, DOI 10.2307/1907353 Beckert J, 1996, THEOR SOC, V25, P803, DOI 10.1007/BF00159817 Beckert J, 2013, POLIT SOC, V41, P323, DOI 10.1177/0032329213493750 Beckert J, 2013, THEOR SOC, V42, P219, DOI 10.1007/s11186-013-9191-2 Beckert Jens, 1997, GRENZEN MARKTES SOZI Bell S, 2011, BRIT J POLIT SCI, V41, P883, DOI 10.1017/S0007123411000147 Bieler A, 2008, INT STUD QUART, V52, P103, DOI 10.1111/j.1468-2478.2007.00493.x Blyth M., 2002, GREAT TRANSFORMATION Blyth M., 2010, IDEAS POLITICS SOCIA, P83, DOI DOI 10.1093/ACPROF:OSO/9780199736430.001.0001 Blyth M, 2009, NEW POLIT ECON, V14, P329, DOI 10.1080/13563460903087458 Bohringer C, 2006, ECOL ECON, V60, P49, DOI 10.1016/j.ecolecon.2006.03.006 CEPR, 2013, RED TRANS BARR TRAD Cohen BJ, 2007, REV INT POLIT ECON, V14, P197, DOI 10.1080/09692290701288277 CONVERT B, 2005, ANNEE SOCIOLOGIQUE, V55, P329, DOI DOI 10.3917/ANSO.052.0329 Cypher James M., 1993, REV RADICAL POL ECON, V25, P146 De Ville F, 2014, BRIT J POLIT INT REL, V16, P149, DOI 10.1111/1467-856X.12022 DeCanio S. J., 2005, INT ENVIRON AGREEM-P, V5, P415, DOI 10.1007/s10784-005-8333-z ECORYS, 2009, NONT MEAS EU US TRAD Featherstone K., 1996, US EUROPEAN COMMUNIT Fine B, 1999, ECON SOC, V28, P403 Fioramonti L., 2014, NUMBERS RULE WORLD U Francois J, 2005, ECON POLICY, P349 FROHLICH S, 2012, NEW GEOPOLITICS TRAN George C, 2010, TRUTH TRADE REAL IMP Grahl J., 1990, BIG MARKET FUTURE EU Grassini M, 2007, STUDI NOTE EC, VX11, P315 Hanson D, 2004, ENERG ECON, V26, P739, DOI 10.1016/j.eneco.2004.04.020 Hay C, 2002, J EUR PUBLIC POLICY, V9, P147, DOI 10.1080/13501760110120192 Johansen L, 1960, MULTISECTORAL STUDY Kemfert C., 2002, INTEGRATED ASSESSMEN, V3, P281, DOI DOI 10.1076/IAIJ.3.4.281.13590 KISHORE V, 2014, RICARDOS GAUNTLET EC Lester S, 2013, J INT ECON LAW, V16, P847, DOI 10.1093/jiel/jgt026 Lutz S, 2011, REV INT POLIT ECON, V18, pIII, DOI 10.1080/09692290.2011.638607 Maduro MP, 2007, J EUR PUBLIC POLICY, V14, P814, DOI 10.1080/13501760701428506 McKitrick RR, 1998, ECON MODEL, V15, P543, DOI 10.1016/S0264-9993(98)00028-5 Nicolaidis K., 2005, LAW CONTEMP PROBL, V68, P263 Peterson John, 1996, EUROPE AM PROSPECTS Pollack M, 2009, COOPERATION FAILS IN Pollack MA, 2005, JCMS-J COMMON MARK S, V43, P899, DOI 10.1111/j.1468-5965.2005.00601.x Raza W., 2014, ASSESS TTIP ASSESSIN Rollo J, 2013, GREAT INSIGHTS, V2, P14 Schmidt SK, 2007, J EUR PUBLIC POLICY, V14, P667, DOI 10.1080/13501760701427797 Schmidt V. A., 2002, FUTURES EUROPEAN CAP Scott J, 2008, J WORLD TRADE, V42, P87 Scrieciu SS, 2007, ECOL ECON, V60, P678, DOI 10.1016/j.ecolecon.2006.09.012 Shaffer G., 2001, TRANSATLANTIC GOVERN Shikher S., 2012, J INT GLOBAL EC STUD, V5, P32 Siles-Brugge G, 2014, CONSTRUCTING EUROPEA Smith M, 2009, BRIT J POLIT INT REL, V11, P94, DOI 10.1111/j.1467-856X.2008.00351.x Stanford J, 2003, INT J POLITICAL EC, V33, P28 Steffenson R., 2005, MANAGING EU US RELAT Trachtman JP, 2007, J EUR PUBLIC POLICY, V14, P780, DOI 10.1080/13501760701428373 Underhill GRD, 2009, NEW POLIT ECON, V14, P347, DOI 10.1080/13563460903087482 Van Harten G, 2005, REV INT POLIT ECON, V12, P600, DOI 10.1080/09692290500240305 Watson M, 2003, POLICY POLIT, V31, P289, DOI 10.1332/030557303322034956 Watson Matthew, 2014, UNECONOMIC EC CRISIS Young A. R., 2014, PAROCHIAL GLOBAL EUR NR 62 TC 8 Z9 8 U1 0 U2 61 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND SN 1356-3467 EI 1469-9923 J9 NEW POLIT ECON JI New Polit. Econ. PD SEP 3 PY 2015 VL 20 IS 5 BP 653 EP 678 DI 10.1080/13563467.2014.983059 PG 26 WC Economics; International Relations; Political Science SC Business & Economics; International Relations; Government & Law GA CP3ZR UT WOS:000359822300002 DA 2019-04-09 ER PT J AU Bueno, PC Vassallo, JM Cheung, K AF Bueno, P. C. Vassallo, J. M. Cheung, K. TI Sustainability Assessment of Transport Infrastructure Projects: A Review of Existing Tools and Methods SO TRANSPORT REVIEWS LA English DT Article DE sustainability; decision-making; transport projects; evaluation methodologies; rating systems ID LIFE-CYCLE ASSESSMENT; COST-BENEFIT-ANALYSIS; MULTICRITERIA DECISION-ANALYSIS; OF-THE-ART; TRADE-OFF; ENVIRONMENTAL ASSESSMENT; SOCIAL IMPACTS; INDICATORS; APPRAISAL; FRAMEWORK AB Attempts to integrate sustainability in the decision-making process for transport infrastructure projects continue to gain momentum. A number of tools and methodological frameworks are available such as rating systems, traditional decision-making techniques, checklists, and different evaluation frameworks and models. While these tools are highly valuable, some practical issues remain unsolved. There is also a need for more standardized tools to appraise the sustainability of transport projects. This paper is a presentation of a review on the current assessment tools of sustainability applied to transport infrastructure projects. The preliminary part of the paper is an explanatory and comparative analysis of the tools and methods in terms of their effectiveness to appraise sustainability. The analysis is a critical evaluation of the current state of the art to identify the limitations of existing approaches, point out new areas of research, and propose a sustainability appraisal agenda for the future. C1 [Bueno, P. C.; Vassallo, J. M.] Univ Politecn Madrid, Transport Res Ctr TRANSYT, E-28040 Madrid, Spain. [Cheung, K.] European Investment Bank, L-2950 Luxembourg, Luxembourg. RP Bueno, PC (reprint author), Univ Politecn Madrid, Transport Res Ctr TRANSYT, ETSI Caminos,Canales & Puertos, E-28040 Madrid, Spain. EM pbueno@caminos.upm.es RI Vassallo, Jose Manuel/H-3696-2015 OI Vassallo, Jose Manuel/0000-0001-7151-4939 FU European Investment Bank under The STAREBEI programme; Spanish Ministry of Economy and Competitiveness [TRA2012-36590] FX This work was supported by the European Investment Bank under The STAREBEI programme. The findings, interpretations, and conclusions presented in this article are entirely those of the authors and should not be attributed in any manner to the European Investment Bank. The authors wish to thank the Spanish Ministry of Economy and Competitiveness, which has funded the SUPPORT Project - EU support mechanisms to promote public-private partnerships for financing TRANSEUROPEAN TRANSPORT INFRASTRUCTURE-[TRA2012-36590]. Period: 1 January 2013-31 December 2016. CR ALMANSA C, 2007, ECOL ECON, V60, P712 Anderson JL, 2013, TRANSPORT RES REC, P24, DOI 10.3141/2357-03 Barfod MB, 2011, DECIS SUPPORT SYST, V51, P167, DOI 10.1016/j.dss.2010.12.005 BECKER RA, 1982, J ENVIRON ECON MANAG, V9, P165, DOI 10.1016/0095-0696(82)90020-1 Bristow A.L., 2000, TRANSPORT POLICY, V7, P51, DOI DOI 10.1016/S0967-070X(00)00010-X Browne D, 2011, ENVIRON IMPACT ASSES, V31, P226, DOI 10.1016/j.eiar.2010.11.001 Butter F. A. G. den, 1994, Environmental and Resource Economics, V4, P187 Chaharbaghi K., 1999, Engineering Management Journal, V9, P41, DOI 10.1049/em:19990115 Cheng EWL, 2005, J CONSTR ENG M, V131, P459, DOI 10.1061/(ASCE)0733-9364(2005)131:4(459) Ciegis R, 2009, INZ EKON, P28 Clark M., 2009, GREEN GUIDE ROADS RA Cundri A., 2008, TRANSPORT POLICY, V15, P1, DOI [10.1016/j.tranpol.2008.05.003.A, DOI 10.1016/J.TRANPOL.2008.05.003.A] Dasgupta S, 2005, CAN J CIVIL ENG, V32, P30, DOI 10.1139/L04-101 Dennison FJ, 1998, WATER SCI TECHNOL, V38, P23, DOI 10.1016/S0273-1223(98)00636-2 Elkington J., 1998, NEW SOC Feiock RC, 2001, PUBLIC ADMIN REV, V61, P313, DOI 10.1111/0033-3352.00032 Friesz T. L., 1980, TRANSPORT RES REC, P38 Frohwein HI, 1999, J TRANSP ENG, V125, P224, DOI 10.1061/(ASCE)0733-947X(1999)125:3(224) Iniestra JG, 2009, APPL SOFT COMPUT, V9, P512, DOI 10.1016/j.asoc.2008.07.006 George C., 2001, IMPACT ASSESS PROJ A, V19, P95, DOI DOI 10.3152/147154601781767104 Geurs K, 2009, TRANSPORT REV, V29, P69, DOI 10.1080/01441640802130490 Gilmour D, 2011, P I CIVIL ENG-MUNIC, V164, P15, DOI 10.1680/muen.800020 GIULIANO G, 1985, TRANSPORT RES A-POL, V19, P29, DOI 10.1016/0191-2607(85)90004-4 GRADUS R, 1993, J ECON, V58, P25, DOI 10.1007/BF01234800 Grant-Muller SM, 2001, TRANSPORT REV, V21, P237, DOI 10.1080/01441640151098097 Guhnemann A, 2012, TRANSPORT POLICY, V23, P15, DOI 10.1016/j.tranpol.2012.05.005 Guo JH, 2006, ENVIRON SCI POLICY, V9, P205, DOI 10.1016/j.envsci.2005.11.010 Hauschild MZ, 2008, CIRP ANN-MANUF TECHN, V57, P21, DOI 10.1016/j.cirp.2008.03.002 Hepburn CJ, 2007, J FOREST ECON, V13, P169, DOI 10.1016/jjfe.2007.02.008 Hobbs BF, 1997, ENERG POLICY, V25, P357, DOI 10.1016/S0301-4215(97)00025-6 Huang IB, 2011, SCI TOTAL ENVIRON, V409, P3578, DOI 10.1016/j.scitotenv.2011.06.022 Hueting R, 2004, ECOL ECON, V50, P249, DOI 10.1016/j.ecolecon.2004.03.031 Hyard A, 2012, TRANSPORT RES A-POL, V46, P707, DOI 10.1016/j.tra.2012.01.002 Janic M, 2003, TRANSPORT PLAN TECHN, V26, P491, DOI 10.1080/0308106032000167373 Jones H, 2014, PROCD SOC BEHV, V111, P400, DOI 10.1016/j.sbspro.2014.01.073 Jorgensen A, 2008, INT J LIFE CYCLE ASS, V13, P96, DOI 10.1065/lca2007.11.367 Kabir G, 2014, STRUCT INFRASTRUCT E, V10, P1176, DOI 10.1080/15732479.2013.795978 Keoleian GA, 2006, SUSTAIN SCI ENG, V1, P127, DOI 10.1016/S1871-2711(05)01007-X KHORRAMSHAHGOL R, 1988, J OPER RES SOC, V39, P795, DOI 10.1057/jors.1988.139 Kowalski K, 2009, EUR J OPER RES, V197, P1063, DOI 10.1016/j.ejor.2007.12.049 Kula E, 2011, ENVIRON IMPACT ASSES, V31, P180, DOI 10.1016/j.eiar.2010.06.001 Loiseau E, 2012, J ENVIRON MANAGE, V112, P213, DOI 10.1016/j.jenvman.2012.07.024 Makie P., 1998, TRANSPORT POLICY, V5, P1, DOI DOI 10.1016/S0967-070X(98)00004-3 Mandell S., 2013, 201332 INT TRANSP FO Matsuhashi R, 1996, ENERG CONVERS MANAGE, V37, P1253, DOI 10.1016/0196-8904(95)00329-0 Montgomery R., 2014, BRIDGES, V10, P1086, DOI [10.1061/9780784478745.103, DOI 10.1061/9780784478745.103] Muench ST, 2012, TRANSPORT RES REC, P19, DOI 10.3141/2271-03 Munasinghe M., 2001, SUSTAINABILITY LONG Munda G, 2004, EUR J OPER RES, V158, P662, DOI 10.1016/S0377-2217(03)00369-2 Munda G., 1998, SUSTAINABLE DEV CONC, DOI [10.1007/978-94-017-3188-1, DOI 10.1007/978-94-017-3188-1] Munda G, 1995, MULTICRITERIA EVALUA Niemeyer S, 2001, ENVIRON PLANN C, V19, P567, DOI 10.1068/c9s OLSON DL, 1995, EUR J OPER RES, V82, P522, DOI 10.1016/0377-2217(93)E0340-4 Omura M., 2004, KOBE U EC REV, V50, P43 Ophus E., 1996, SURF COAT INT, V79, P155 Parkin S, 2000, P I CIVIL ENG-CIV EN, V138, P9, DOI 10.1680/cien.2000.138.6.9 Parkin S., 2003, ENGINEERING SUSTAINA, V156, P19, DOI DOI 10.1680/ENSU.2003.156.1.19 Paul B. D., 2008, THE ANNALS OF THE UN, V17, P576 Pearce D., 2003, WORLD ECON, V4, P121 Pearce D.W., 1981, SOCIAL APPRAISAL PRO Radermacher W, 1999, INT STAT REV, V67, P339 Raluy RG, 2005, DESALINATION, V183, P81, DOI 10.1016/j.desal.2005.04.023 Reap J, 2008, INT J LIFE CYCLE ASS, V13, P374, DOI 10.1007/s11367-008-0009-9 Reed R., 2009, J SUSTAIN REAL STATE, V1, P1 Samberg S, 2011, TRANSPORT RES REC, P1, DOI 10.3141/2242-01 Sayers TM, 2003, TRANSPORT POLICY, V10, P95, DOI DOI 10.1016/S0967-070X(02)00049-5 Saynajoki E., 2012, INT J SUSTAIN BUILD, V3, P96, DOI DOI 10.1080/2093761X.2012.696319 Sev A, 2011, CIV ENG ENVIRON SYST, V28, P231, DOI 10.1080/10286608.2011.588327 Shelbourn M. A., 2006, ITCON, V11, P57 Stamford L, 2011, ENERGY, V36, P6037, DOI 10.1016/j.energy.2011.08.011 Stripple H., 2004, B1661 SWED ENV RES I Stripple H., 2001, 96 SWED ENV RES I Sumaila UR, 2005, ECOL ECON, V52, P135, DOI 10.1016/j.ecolecon.2003.11.012 Tahara K, 1997, ENERG CONVERS MANAGE, V38, pS615, DOI 10.1016/S0196-8904(97)00005-8 Thomopoulos N, 2009, EVAL PROGRAM PLANN, V32, P351, DOI 10.1016/j.evalprogplan.2009.06.013 Treloar GJ, 2004, J CONSTR ENG M, V130, P43, DOI 10.1061/(asce)0733-9364(2004)130:1(43) Tsai CY, 2012, J CLEAN PROD, V20, P127, DOI 10.1016/j.jclepro.2011.08.009 Tudela A, 2006, TRANSPORT RES A-POL, V40, P414, DOI 10.1016/j.tra.2005.08.002 Ugwu OO, 2006, AUTOMAT CONSTR, V15, P229, DOI 10.1016/j.autcon.2005.05.005 Van Wee B, 2007, TRANSPORT PLAN TECHN, V30, P31, DOI 10.1080/03081060701207995 Vickerman R, 2007, ENVIRON PLANN B, V34, P598, DOI 10.1068/b32112 Walker G, 2010, ENVIRON IMPACT ASSES, V30, P312, DOI 10.1016/j.eiar.2010.04.005 Wang JJ, 2009, RENEW SUST ENERG REV, V13, P2263, DOI 10.1016/j.rser.2009.06.021 White L, 2009, EUR J OPER RES, V193, P683, DOI 10.1016/j.ejor.2007.06.057 NR 84 TC 12 Z9 12 U1 3 U2 48 PU TAYLOR & FRANCIS LTD PI ABINGDON PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0144-1647 EI 1464-5327 J9 TRANSPORT REV JI Transp. Rev. PD SEP 3 PY 2015 VL 35 IS 5 BP 622 EP 649 DI 10.1080/01441647.2015.1041435 PG 28 WC Transportation SC Transportation GA CP1IF UT WOS:000359628800005 DA 2019-04-09 ER PT J AU Ingenbleek, PTM Meulenberg, MTG Van Trijp, HCM AF Ingenbleek, Paul T. M. Meulenberg, Matthew T. G. Van Trijp, Hans C. M. TI Buyer social responsibility: a general concept and its implications for marketing management SO JOURNAL OF MARKETING MANAGEMENT LA English DT Article DE social issues; corporate social responsibility; sustainable marketing; sustainability; consumer decision-making ID FAIR TRADE; BEHAVIOR; DILEMMAS; CONSUMER; FUTURE; TIME; CONSUMPTION; DECISIONS; COUNTRIES; FRAMEWORK AB The inclusion of sustainability concerns in consumer decision-making poses new challenges to marketing. The existing literature contains a variety of concepts and definitions that pertain to social issues in consumption but lacks an overarching conceptualisation of buyer social responsibility (BSR) that identifies its basic features. This article proposes a general BSR concept as a problem-solving consumer-decision process. It draws from the social dilemma and social issue literature streams to develop a conceptual framework on consumers' consideration of social issues in purchase decisions, its potential consequences and boundary conditions. The article formulates propositions and elaborates on how companies, governments and non-governmental organisations can strengthen BSR and draw on it to relieve social issues and create profitable market offerings. C1 [Ingenbleek, Paul T. M.; Meulenberg, Matthew T. G.; Van Trijp, Hans C. M.] Wageningen Univ, Mkt & Consumer Behav Grp, NL-6706 KN Wageningen, Netherlands. RP Ingenbleek, PTM (reprint author), Wageningen Univ, Mkt & Consumer Behav Grp, Hollandseweg 1, NL-6706 KN Wageningen, Netherlands. EM Paul.Ingenbleek@wur.nl CR Andorfer VA, 2012, J BUS ETHICS, V106, P415, DOI 10.1007/s10551-011-1008-5 Auger P, 2007, J BUS ETHICS, V76, P361, DOI 10.1007/s10551-006-9287-y Austin JT, 1996, PSYCHOL BULL, V120, P338, DOI 10.1037//0033-2909.120.3.338 Balliet D, 2009, GROUP PROCESS INTERG, V12, P533, DOI 10.1177/1368430209105040 BELK RW, 1985, J CONSUM RES, V12, P265, DOI 10.1086/208515 Biden Joseph R., 2006, NY TIMES BIGELOW B, 1991, MELL ST BUS, V7, P1 Bucholtz R. A., 1988, PUBLIC POLICY ISSUES Chapman GB, 1996, J EXP PSYCHOL LEARN, V22, P771, DOI 10.1037/0278-7393.22.3.771 Chapman GB, 1998, PSYCHON B REV, V5, P119, DOI 10.3758/BF03209466 Cohen MJ, 2001, EXPLORING SUSTAINABLE CONSUMPTION: ENVIRONMENTAL POLICY AND THE SOCIAL SCIENCES, P21, DOI 10.1016/B978-008043920-4/50005-7 Crouch C, 2012, BUS PROF ETHICS J, V31, P363, DOI 10.5840/bpej201231218 DAFT RL, 1984, ACAD MANAGE REV, V9, P284, DOI 10.2307/258441 DARBY MR, 1973, J LAW ECON, V16, P67, DOI 10.1086/466756 DAWES RM, 1980, ANNU REV PSYCHOL, V31, P169, DOI 10.1146/annurev.ps.31.020180.001125 De Cremer D, 1999, EUR J SOC PSYCHOL, V29, P871, DOI 10.1002/(SICI)1099-0992(199911)29:7<871::AID-EJSP962>3.0.CO;2-I Dolan P., 2002, J MACROMARKETING, V22, P170, DOI DOI 10.1177/0276146702238220 DRUMWRIGHT ME, 1994, J MARKETING, V58, P1, DOI 10.2307/1252307 DUTTON JE, 1987, ACAD MANAGE REV, V12, P76, DOI 10.2307/257995 DUTTON JE, 1983, STRATEGIC MANAGE J, V4, P307, DOI 10.1002/smj.4250040403 Eagly Alice H., 1993, PSYCHOL ATTITUDES Engel J. F, 1995, CONSUMER BEHAV Etzioni A., 1988, MORAL DIMENSION Frederick S, 2002, J ECON LIT, V40, P351, DOI 10.1257/002205102320161311 Frewer L, 2005, INNOVATION IN AGRI-FOOD SYSTEMS: PRODUCT QUALITY AND CONSUMER ACCEPTANCE, P125 GARRETT DE, 1987, J MARKETING, V51, P46, DOI 10.2307/1251128 Green L, 2004, PSYCHOL BULL, V130, P769, DOI 10.1037/0033-2909.130.5.769 Grossman G.M., 2001, SPECIAL INTEREST POL GUNDLACH GT, 1993, J MARKETING, V57, P35, DOI 10.2307/1252217 Harrell G. D., 2002, MARKETING HILGARTNER S, 1988, AM J SOCIOL, V94, P53, DOI 10.1086/228951 Honderich T., 2005, OXFORD COMPANION PHI Honkanen P, 2004, J CONSUMER POLICY, V27, P401, DOI DOI 10.1007/S10603-004-2524-9 Ingenbleek PTM, 2013, J BUS ETHICS, V113, P461, DOI 10.1007/s10551-012-1316-4 Irwin JR, 2009, J MARKETING RES, V46, P234, DOI 10.1509/jmkr.46.2.234 Jahn G, 2005, J CONSUM POLICY, V28, P53, DOI 10.1007/s10603-004-7298-6 Janda S, 2001, PSYCHOL MARKET, V18, P1205, DOI 10.1002/mar.1050 Joireman J., 2006, JUDGMENTS TIME INTER, Vxvii, P82, DOI DOI 10.1093/ACPROF:OSO/9780195177664.003.0006 Joireman JA, 2004, ENVIRON BEHAV, V36, P187, DOI 10.1177/0013916503251476 KEIM GD, 1986, ACAD MANAGE REV, V11, P828 Kilbourne W. E., 1998, J MARKETING MANAGEME, V14, P641, DOI DOI 10.1362/026725798784867743 Kortenkamp KV, 2006, PERS SOC PSYCHOL B, V32, P603, DOI 10.1177/0146167205284006 Kotler P, 2003, MARKETING MANAGEMENT Laros FJM, 2004, PSYCHOL MARKET, V21, P889, DOI 10.1002/mar.20039 Liberman N, 2007, J CONSUM PSYCHOL, V17, P113, DOI 10.1016/S1057-7408(07)70017-7 Lichtenstein DR, 2004, J MARKETING, V68, P16, DOI 10.1509/jmkg.68.4.16.42726 Lilien G.L, 1992, MARKETING MODELS Lynch JG, 2006, J PUBLIC POLICY MARK, V25, P1, DOI 10.1509/jppm.25.1.1 Maffesoli M., 1996, TIME TRIBES Maignan I, 2004, J ACAD MARKET SCI, V32, P3, DOI 10.1177/0092070303258971 Maignan I., 2003, J MACROMARKETING, V23, P78, DOI DOI 10.1177/0276146703258246 Martin D., 2014, SUSTAINABLE MARKETIN McDonagh P, 2014, J MARKET MANAG-UK, V30, P1186, DOI 10.1080/0267257X.2014.943263 Messick D. M., 1983, REV PERSONALITY SOCI, V4, P11 Milfont TL, 2006, J ENVIRON PSYCHOL, V26, P72, DOI 10.1016/j.jenvp.2006.03.001 Naylor T.H., 1969, MICROECONOMICS DECIS Nidumolu R, 2009, HARVARD BUS REV, V87, P57 Peattie K, 1992, GREEN MARKETING Pieters R, 1998, J PUBLIC POLICY MARK, V17, P215, DOI 10.1177/074391569801700206 Post J. E., 1978, CORPORATE BEHAV SOCI Price V., 1997, PROGR COMMUNICATION, V13, P173, DOI DOI 10.1177/107769900808500308 Robins N., 1998, DEVELOPMENT, V41, P1 Scheufele DA, 1999, J COMMUN, V49, P103, DOI 10.1111/j.1460-2466.1999.tb02784.x Scheufele DA, 2007, J COMMUN, V57, P9, DOI 10.1111/j.1460-2466.2006.00326.x SCHOR Juliet, 1998, OVERSPENT AM WHY WE Schudson M, 1991, AM PROSPECT, V2, P26, DOI DOI 10.1177/0002716206299145 Schwartz S.H., 1970, ALTRUISM HELP BEHAV, P127 SCHWARTZ SH, 1992, ADV EXP SOC PSYCHOL, V25, P1, DOI 10.1016/S0065-2601(08)60281-6 Shaw D., 2002, INT J CONSUM STUD, V26, P286, DOI DOI 10.1046/J.1470-6431.2002.00255.X SHIMP TA, 1987, J MARKETING RES, V24, P280, DOI 10.2307/3151638 Stern PC, 2000, J SOC ISSUES, V56, P407, DOI 10.1111/0022-4537.00175 STERN PC, 1999, HUMAN ECOLOGY REV, V6, P81, DOI DOI 10.2307/2083693 STRATHMAN A, 1994, J PERS SOC PSYCHOL, V66, P742, DOI 10.1037//0022-3514.66.4.742 Van Ittersum K., 2001, THESIS WAGENINGEN U Van Lange PAM, 2008, SOC ISS POLICY REV, V2, P127, DOI 10.1111/j.1751-2409.2008.00013.x Van Tulder R, 2006, INT BUSINESS SOC MAN VANVUGT M, 1995, J APPL SOC PSYCHOL, V25, P258 VARADARAJAN PR, 1988, J MARKETING, V52, P58, DOI 10.2307/1251450 Varian H. R., 2002, INTERMEDIATE EC MODE, V6th Wang L, 2007, ENVIRON PLANN A, V39, P684, DOI 10.1068/a3833 Webb DJ, 2008, J BUS RES, V61, P91, DOI 10.1016/j.jbusres.2007.05.007 Weber E. U., 2002, DRAMA COMMONS, P113 Weber M., 2004, PERSONALITY SOCIAL P, V8, P281, DOI DOI 10.1207/S15327957PSPR0803_4 WEBSTER FE, 1975, J CONSUM RES, V2, P188 Witkowski TH, 2005, J PUBLIC POLICY MARK, V24, P7, DOI 10.1509/jppm.24.1.7.63902 World Commission on Environment and Development, 1987, OUR COMMON FUTURE NR 86 TC 5 Z9 5 U1 0 U2 12 PU ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD PI ABINGDON PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND SN 0267-257X EI 1472-1376 J9 J MARKET MANAG-UK JI J. Market. Manag. PD SEP 2 PY 2015 VL 31 IS 13-14 SI SI BP 1428 EP 1448 DI 10.1080/0267257X.2015.1058848 PG 21 WC Business; Management SC Business & Economics GA CP0WR UT WOS:000359597900004 DA 2019-04-09 ER PT J AU Walske, J Tyson, LD AF Walske, Jennifer Tyson, Laura D. TI Fair Trade USA: SCALING FOR IMPACT SO CALIFORNIA MANAGEMENT REVIEW LA English DT Article DE Corporate Social Responsibility; Corporate Strategy; Entrepreneurship; Growth Strategy; Supply Chain; Sustainability; Social Enterprise AB This case study focuses on Fair Trade USA (the leading third-party certifier of fair trade products in North America) and founder, President, and CEO Paul Rice and his challenges scaling FT USA. The case study covers the growth strategies that he and his team are debating at a key point in FT USA's history amidst increasing competition from other certification organizations like Rainforest Alliance and Utz and general market confusion over consumer packaging labels. Rice and his team are grappling with how to make the Fair Trade USA label more prevalent as well as how to build a viable, long-term business model. The case discusses FT USA's role in helping companies like Hershey's develop sustainable supply chains. C1 [Walske, Jennifer] Berkeley Haas, Inst Business & Social Impact, Berkeley, CA 94720 USA. [Walske, Jennifer] Univ San Francisco, San Francisco, CA 94117 USA. [Walske, Jennifer] Fair Trade USA, Oakland, CA USA. [Tyson, Laura D.] US Presidents Council Econ Advisers, New York, NY USA. [Tyson, Laura D.] Berkeley Haas Sch Business, Business Adm & Econ, Berkeley, CA USA. [Tyson, Laura D.] Berkeley Haas Sch Business, Inst Business & Social Impact, Berkeley, CA USA. RP Walske, J (reprint author), Berkeley Haas, Inst Business & Social Impact, Berkeley, CA 94720 USA. EM jwalske@usfca.edu; tyson@haas.berkeley.edu CR [Anonymous], 2013, FAIR TRADE US BUSINE, P22 [Anonymous], 2013, FT US BUSINESS PLAN, P3 Drabkin Davina, 2012, STANFORD GSB CASE ST, VSI-29, P13 NR 3 TC 1 Z9 1 U1 6 U2 43 PU UNIV CALIF PI BERKELEY PA GRAD SCH BUSINESS ADMIN, BERKELEY, CA 94720 USA SN 0008-1256 EI 2162-8564 J9 CALIF MANAGE REV JI Calif. Manage. Rev. PD FAL PY 2015 VL 58 IS 1 BP 123 EP 143 DI 10.1525/cmr.2015.58.1.123 PG 21 WC Business; Management SC Business & Economics GA CY7PA UT WOS:000366599500007 DA 2019-04-09 ER PT J AU Hu, SS Souza, GC Ferguson, ME Wang, WB AF Hu, Shanshan Souza, Gilvan C. Ferguson, Mark E. Wang, Wenbin TI Capacity Investment in Renewable Energy Technology with Supply Intermittency: Data Granularity Matters! SO M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT LA English DT Article DE supply intermittency; renewable energy; capacity investment; sustainability ID RANDOM YIELDS; PEAK; UNCERTAINTY; ORDER AB We study an organization's one-time capacity investment in a renewable energy-producing technology with supply intermittency and net metering compensation. The renewable technology can be coupled with conventional technologies to form a capacity portfolio that is used to meet stochastic demand for energy. The technologies have different initial investments and operating costs, and the operating costs follow different stochastic processes. We show how to reduce this problem to a single-period decision problem and how to estimate the joint distribution of the stochastic factors using historical data. Importantly, we show that data granularity for renewable yield and electricity demand at a fine level, such as hourly, matters: Without energy storage, coarse data that does not reflect the intermittency of renewable generation may lead to an overinvestment in renewable capacity. We obtain solutions that are simple to compute, intuitive, and provide managers with a framework for evaluating the trade-offs of investing in renewable and conventional technologies. We illustrate our model using two case studies: one for investing in a solar rooftop system for a bank branch and another for investing in a solar thermal system for water heating in a hotel, along with a conventional natural gas heating system. C1 [Hu, Shanshan; Souza, Gilvan C.] Indiana Univ, Kelley Sch Business, Dept Operat & Decis Technol, Bloomington, IN 47405 USA. [Ferguson, Mark E.] Univ S Carolina, Moore Sch Business, Dept Management Sci, Columbia, SC 29208 USA. [Wang, Wenbin] Shanghai Univ Finance & Econ, Sch Int Business Adm, Dept Operat Management, Shanghai 200433, Peoples R China. RP Hu, SS (reprint author), Indiana Univ, Kelley Sch Business, Dept Operat & Decis Technol, Bloomington, IN 47405 USA. EM hush@indiana.edu; gsouza@indiana.edu; mark.ferguson@moore.sc.edu; wang.wenbin@shufe.edu.cn OI Ferguson, Mark/0000-0001-8317-138X FU Summer Research Grant - Kelley School of Business at Indiana University FX The authors thank Stephen Graves, an anonymous associate editor, and three referees for their helpful feedback, which significantly improved this paper from earlier versions. The first and second authors acknowledge support from the Summer Research Grant awarded by the Kelley School of Business at Indiana University. CR Aflaki S., 2012, WORKING PAPER Ambec S, 2012, RESOUR ENERGY ECON, V34, P319, DOI 10.1016/j.reseneeco.2012.01.001 Ash Robert B., 1999, PROBABILITY MEASURE Chamama J, 2014, WORKING PAPER CHAO HP, 1983, BELL J ECON, V14, P179, DOI 10.2307/3003545 Cohen MC, 2015, MANAGEMENT SCI CREW MA, 1995, J REGUL ECON, V8, P215, DOI 10.1007/BF01070807 CREW MA, 1976, BELL J ECON, V7, P207, DOI 10.2307/3003197 Dada M, 2007, M&SOM-MANUF SERV OP, V9, P9, DOI 10.1287/msom.1060.0128 Drake D., 2012, WORKING PAPER Energy.gov, 2014, COV PROD CAT COMM GA European Photovoltaic Industry Association EPIA, 2011, SOL PHOT COMP EN SEC Federgruen A, 2009, OPER RES, V57, P1451, DOI 10.1287/opre.1080.0667 Grosfeld-Nir A, 2004, ANN OPER RES, V126, P43, DOI 10.1023/B:ANOR.0000012275.01260.f5 HENIG M, 1990, OPER RES, V38, P634, DOI 10.1287/opre.38.4.634 Karlin S., 1958, STUDIES MATH THEORY Kim JH, 2011, OPER RES, V59, P1347, DOI 10.1287/opre.1110.0971 Kleindorfer PR, 2005, PROD OPER MANAG, V14, P482 KLEINDORFER PR, 1993, J REGUL ECON, V5, P5, DOI 10.1007/BF01066311 Kok AG, 2014, WORKING PAPER Krass D, 2013, PROD OPER MANAG, V22, P1035, DOI 10.1111/poms.12023 Masters G.M., 2004, RENEWABLE EFFICIENT Munigowda M, 2012, SOLAIREDIRECT QUEST Nisperos N, 2014, SUN NOORI AH, 1986, INFOR, V24, P1 Ovchinnikov A, 2014, WORKING PAPER Ovchinnikov A, 2013, WELLS FARGO SOLAR EN Parlar M, 1993, EUR J OPER RES, V66, P62 PG&E, 2014, GETT CRED SURPL EN U.S. EIA, 2011, ANN EN REV 2011 Wang WB, 2013, M&SOM-MANUF SERV OP, V15, P616, DOI 10.1287/msom.2013.0438 Wu OQ, 2013, M&SOM-MANUF SERV OP, V15, P578, DOI 10.1287/msom.2013.0446 YANO CA, 1995, OPER RES, V43, P311, DOI 10.1287/opre.43.2.311 Zhou Y., 2014, WORKING PAPER NR 34 TC 6 Z9 8 U1 1 U2 19 PU INFORMS PI CATONSVILLE PA 5521 RESEARCH PARK DR, SUITE 200, CATONSVILLE, MD 21228 USA SN 1523-4614 EI 1526-5498 J9 M&SOM-MANUF SERV OP JI M&SOM-Manuf. Serv. Oper. Manag. PD FAL PY 2015 VL 17 IS 4 BP 480 EP 494 DI 10.1287/msom.2015.0536 PG 15 WC Management; Operations Research & Management Science SC Business & Economics; Operations Research & Management Science GA CX9WC UT WOS:000366055400005 DA 2019-04-09 ER PT J AU Liu, Y Zhang, N AF Liu, Yi Zhang, Ning TI Sustainability of Trade Liberalization and Antidumping: Evidence from Mexico's Trade Liberalization toward China SO SUSTAINABILITY LA English DT Article DE data antidumping; trade liberalization; Mexican economic history; count data; trade sustainability ID INTERNATIONAL-TRADE; PROTECTION AB A Negative Binomial Regression Model is used to investigate the sustainability of China-Mexico trade liberalization by testing the tariff lines underpinning Mexico's successful antidumping (AD) measures against Chinese imports from 1991 to 2011. Evidence shows import tariff cutting and consumption growth have a positive impact on consumer goods but a negative impact on intermediaries. This result implies that while the Mexican government has expended considerable energy on the trade liberalization of intermediate and capital goods, the domestic consumer goods market has been protected from Chinese imports. The empirical results indicate that Mexico's AD use for consumer goods helps to sustain trade liberalization of intermediate and capital goods under the domestic political pressures for trade opening. C1 [Liu, Yi] Jiangxi Univ Finance & Econ, Sch Int Trade & Econ, Nanchang 330013, Peoples R China. [Zhang, Ning] Jinan Univ, Sch Econ, Guangzhou 510632, Guangdong, Peoples R China. RP Zhang, N (reprint author), Jinan Univ, Sch Econ, Guangzhou 510632, Guangdong, Peoples R China. EM louisones@jxufe.edu.cn; zn928@naver.com FU National Science Foundation of China [41461118]; Humanities and Social Science Fund of Jiangxi [JJ1420]; Philosophy and Social Science fund of Jiangxi [15SKJD21]; China Postdoctoral Foundation [2014M551849, 2014KY55] FX We thank the financial support provided by the National Science Foundation of China (41461118), Humanities and Social Science Fund of Jiangxi (JJ1420), Philosophy and Social Science fund of Jiangxi (15SKJD21) and the China Postdoctoral Foundation (2014M551849, 2014KY55). CR Aggarwal A, 2004, WORLD DEV, V32, P1043, DOI 10.1016/j.worlddev.2004.01.003 Baldwin R. E., 1993, 4282 NBER Becker B., IWP DISCUSSION PAPER, V2000-02 Bown CP, 2011, WORLD ECON, V34, P1955, DOI 10.1111/j.1467-9701.2011.01388.x Bown Chad P., 2010, GLOBAL ANTIDUMPING D Czinkota MR, 1997, J WORLD BUS, V32, P169, DOI 10.1016/S1090-9516(97)90006-7 Dussel PE, 2005, EC OPPORTUNITIES CHA FEINBERG RM, 1989, INT J IND ORGAN, V7, P325, DOI 10.1016/0167-7187(89)90001-5 Feinberg RM, 2007, WORLD ECON, V30, P948, DOI 10.1111/j.1467-9701.2007.001016.x Francois J., 2004, 4297 CEPR Hansen Wendy L., 1997, REV INT ECON, V5, P230 Hilbe J. M, 2011, NEGATIVE BINOMIAL RE, P230 Irwin DA, 2005, WORLD ECON, V28, P651, DOI 10.1111/j.1467-9701.2005.00698.x Jenkins R., 2009, CHINA LATIN AM EC RE, P10 Knetter MM, 2003, J INT ECON, V61, P1, DOI 10.1016/S0022-1996(02)00080-6 Leidy MP, 1997, INT MONET FUND S PAP, V44, P132 Martens P., 2010, SUSTAINABILITY, V2, P281 MARVEL HP, 1983, AM ECON REV, V73, P190 Moore MO, 2009, CAN J ECON, V42, P469, DOI 10.1111/j.1540-5982.2009.01516.x Niels G, 2004, WORLD ECON, V27, P967, DOI 10.1111/j.1467-9701.2004.00637.x Niels G, 2006, REV DEV ECON, V10, P388, DOI 10.1111/j.1467-9361.2006.00339.x Raynolds LT, 2012, RURAL SOCIOL, V77, P493, DOI 10.1111/j.1549-0831.2012.00090.x Renard Marie-Christine, 2007, FAIR TRADE CHALLENGE, P138 Robertson R., 2011, GREAT RECESSION IMPO ten Kate Adriaan, 2006, EUR J POLIT ECON, V22, P618 Tovar Patricia, 2008, TRADE LIBERALIZATION Vandenbussche H., 2008, ECON POLICY, V23, P98 World Trade Organization (WTO), WTTPRS29 WTO Zhou WF, 2009, J INT TRADE LAW POLI, V8, P291, DOI 10.1108/14770020910990669 NR 29 TC 1 Z9 1 U1 2 U2 11 PU MDPI PI BASEL PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND SN 2071-1050 J9 SUSTAINABILITY-BASEL JI Sustainability PD SEP PY 2015 VL 7 IS 9 BP 11484 EP 11503 DI 10.3390/su70911484 PG 20 WC Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies SC Science & Technology - Other Topics; Environmental Sciences & Ecology GA CT1JA UT WOS:000362553400007 OA DOAJ Gold DA 2019-04-09 ER PT J AU Mjoli, N Shackleton, CM AF Mjoli, Nwabisa Shackleton, Charlie M. TI The Trade in and Household Use of Phoenix reclinata Palm Frond Hand Brushes on the Wild Coast, South Africa SO ECONOMIC BOTANY LA English DT Article DE Income; non-timber forest products; sustainability; women; ethnobotany ID FOREST; ISCHYROLEPIS; PRODUCTS; LEAF AB The Trade in and Household Use of Phoenix reclinata Palm Frond Hand Brushes on the Wild Coast, South Africa. This paper reports on an investigation of the harvesting, trade, and use of hand brushes made from fronds of the wild palm, Phoenix reclinata. We considered both the abundance of the resource as well as the demand. Within the harvesting areas, there were approximately 141 palm plants per hectare, of which almost two-thirds showed no signs of frond harvesting. During harvesting, most fronds (82%) were left on the plant, 16% were removed to make brushes, and 2% were cut and discarded. Although the number of harvesters had increased during the last decade, most felt that the number of palm plants had remained stable or even increased over the same period. There was strong consensus that cut fronds were replaced within two months, after which a particular stem could be harvested again. Harvesting and trade were practiced largely by middle-aged to elderly women, who had limited formal education, skills, and employment prospects. Most had entered the trade because of cash income poverty. The main markets for selling the palm brushes were in nearby urban areas. The income earned from the trade was modest, but still rated highly by the traders, for most of whom it was the second most-important source of cash income. For many users, the palm brushes was found to be the only type of brush suitable for cleaning mud and cow-dung flooring and, most importantly for many, their use forms part of a long household use history and culture. C1 [Mjoli, Nwabisa; Shackleton, Charlie M.] Rhodes Univ, Dept Environm Sci, ZA-6140 Grahamstown, South Africa. RP Shackleton, CM (reprint author), Rhodes Univ, Dept Environm Sci, ZA-6140 Grahamstown, South Africa. EM +27-46-603-7001c.shackleton@ru.ac.za FU South African Research Chairs Initiative of the Department of Science and Technology; National Research Foundation of South Africa FX A huge thank-you to the brush traders of Willowvale for their patience and willingness to interact with us, to Wayne Westcott for field assistance, and to Sheona Shackleton and Angelina Martins for their comments on an earlier draft of this work. The field work and stipend for NM were provided by the South African Research Chairs Initiative of the Department of Science and Technology and the National Research Foundation of South Africa. Any opinion, finding, conclusion, or recommendation expressed in this material is that of the authors and the NRF does not accept any liability in this regard. CR Adam YO, 2010, FORESTRY IDEAS, V16, P19 Barrow Sasha C., 1998, Kew Bulletin, V53, P513, DOI 10.2307/4110478 Campbell B. M., 2002, HOUSEHOLD LIVELIHOOD CEPF, 2010, EC PROF MAP POND ALB CHAZDON RL, 1991, J ECOL, V79, P1137, DOI 10.2307/2261104 Cocks M. L., 2004, FORESTS TREES LIVELI, V13, P33 Cocks M, 2011, NON-TIMBER FOREST PRODUCTS IN THE GLOBAL CONTEXT, P107, DOI 10.1007/978-3-642-17983-9_5 CUNNINGHAM AB, 1988, ECON BOT, V42, P301, DOI 10.1007/BF02860158 CUNNINGHAM AB, 2006, AFRICAN BASKETRY GRA De Vletter F., 2001, COPING EXTREME POVER Gruca M, 2014, J ETHNOBIOL ETHNOMED, V10, DOI 10.1186/1746-4269-10-60 Gyan C., 2005, J TROP FOR SCI, V17, P325 Kepe T., 2003, S AFR GEOGR J, V85, P152 Kotze C. D., 2011, ECON BOT, V65, P271 Macia MJ, 2011, BOT REV, V77, P462, DOI 10.1007/s12229-011-9086-8 Makhado Z., 2006, Development Southern Africa, V23, P497, DOI 10.1080/03768350600927250 Mandle L., 2013, ECOLOGICAL PROCESSES, V2, P1 Martinez-Balleste A, 2008, FOREST ECOL MANAG, V256, P1320, DOI 10.1016/j.foreco.2008.06.029 McKean SG, 2003, ECON BOT, V57, P65, DOI 10.1663/0013-0001(2003)057[0065:TSUOPL]2.0.CO;2 McLain RJ, 2015, ECOLOGICAL SUSTAINAB, P235 Mucina L, 2006, VEGETATION MAP S AFR, V19 Mutua K., 2004, Journal of African Business, V5, P93, DOI 10.1300/J156v05n02_06 Ndoye O., 2004, FOREST PRODUCTS LIVE, V2, P91 Ndoye O., 1998, 22C ODI RUR DEV FOR Palmer R., 2002, CONFLICT NEGOTIATION, P334 Pereira T., 2006, Development Southern Africa, V23, P477, DOI 10.1080/03768350600927235 Ruwanza S, 2015, ECON BOT, V69, P136, DOI 10.1007/s12231-015-9306-y Scherr S.J., 2004, NEW AGENDA FOREST CO Schmidt IB, 2012, BIOL CONSERV, V152, P187, DOI 10.1016/j.biocon.2012.03.018 Shackleton Charlie M., 2009, Environment Development and Sustainability, V11, P229, DOI 10.1007/s10668-007-9106-3 Shackleton R, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0076939 Shackleton S, 2007, INT FOREST REV, V9, P697, DOI 10.1505/ifor.9.3.697 Shackleton S, 2008, WORLD DEV, V36, P505, DOI 10.1016/j.worlddev.2007.03.003 STAUFFER F.W., 2014, TROPICAL AFRICAN FLO, V8, P326 TIMMERMANS HG, 2004, THESIS RHODES U GRAH Virapongse A., 2014, Forests, Trees and Livelihoods, V23, P36 Wallace R. C., 2001, DEV REGIONAL MARKETS Welford L., 2008, Forests, Trees and Livelihoods, V18, P69 NR 38 TC 4 Z9 4 U1 0 U2 4 PU SPRINGER PI NEW YORK PA 233 SPRING ST, NEW YORK, NY 10013 USA SN 0013-0001 EI 1874-9364 J9 ECON BOT JI Econ. Bot. PD SEP PY 2015 VL 69 IS 3 BP 218 EP 229 DI 10.1007/s12231-015-9316-9 PG 12 WC Plant Sciences SC Plant Sciences GA CT7AR UT WOS:000362965900002 DA 2019-04-09 ER PT J AU Mukherjee, N Huge, J Sutherland, WJ McNeill, J Van Opstal, M Dahdouh-Guebas, F Koedam, N AF Mukherjee, Nibedita Huge, Jean Sutherland, William J. McNeill, Jeffrey Van Opstal, Maarten Dahdouh-Guebas, Farid Koedam, Nico TI The Delphi technique in ecology and biological conservation: applications and guidelines SO METHODS IN ECOLOGY AND EVOLUTION LA English DT Article DE conservation; expert; management support; modelling; participatory approach; policy; scenarios; the Delphi technique ID EXPERT-BASED APPROACH; POLICY DEVELOPMENT; PROTECTED AREAS; TRADE-OFFS; MANAGEMENT; KNOWLEDGE; SUSTAINABILITY; BIODIVERSITY; FUTURE; IDENTIFICATION AB 1. Many areas of science, including conservation and environmental management, regularly require engaging stakeholders or experts to produce consensus or technical inputs. The Delphi technique is an iterative and anonymous participatory method used for gathering and evaluating such expert-based knowledge. 2. We outline the methodology of the Delphi technique and provide a taxonomy of its main variants. In addition, we refine the technique by providing suggestions to address common limitations (e.g. time consumption, attrition rate) in order to make the method more suitable for application in ecology and conservation. 3. A comprehensive search for studies that have applied the Delphi technique in conservation and environmental management resulted in 36 papers. The Delphi technique has been applied to a range of issues, including developing decision support systems and predicting ecological impacts of climate change. 4. The papers reviewed suggest that the Delphi technique is an efficient, inclusive, systematic and structured approach that can be used to address complex issues. A major strength compared to other group-based techniques is the reduced influence of social pressures among respondents. 5. The Delphi technique is relatively little used and seems undervalued. Given its wide range of possible applications, it could be applied more widely in evaluating evidence and providing expert judgments. C1 [Mukherjee, Nibedita; Sutherland, William J.] Univ Cambridge, Dept Zool, Conservat Sci Grp, Cambridge CB2 3EJ, England. [Mukherjee, Nibedita; Dahdouh-Guebas, Farid; Koedam, Nico] Vrije Univ Brussel, Plant Biol & Nat Management, B-1050 Brussels, Belgium. [Mukherjee, Nibedita; Huge, Jean; Van Opstal, Maarten; Dahdouh-Guebas, Farid] Univ Libre Bruxelles, Lab Syst Ecol & Resource Management, B-1050 Brussels, Belgium. [Huge, Jean] Univ Ghent, Ctr Sustainable Dev, B-9000 Ghent, Belgium. [McNeill, Jeffrey] Massey Univ, Sch People Environm & Planning, Palmerston North, New Zealand. [Van Opstal, Maarten] Univ Libre Bruxelles, Ctr Cultural Anthropol, B-1050 Brussels, Belgium. [Van Opstal, Maarten] Vrije Univ Brussel, Dept Publ Hlth, B-1090 Brussels, Belgium. RP Mukherjee, N (reprint author), Univ Cambridge, Dept Zool, Conservat Sci Grp, Cambridge CB2 3EJ, England. EM nibedita.41282@gmail.com RI Mukherjee, Nibedita/B-2531-2010 OI Mukherjee, Nibedita/0000-0002-2970-1498; Sutherland, William/0000-0002-6498-0437 FU Arcadia; Belgian National Science Foundation (FNRS); MIS [1765914]; Fondation Weiner Anspach (FWA) FX The authors would like to thank Pinaki Bhattacharya, Maria Voigt, Francisco Benitez-Capistros and the three anonymous reviewers for their significant contributions in improving the earlier manuscript. WJS is funded by Arcadia. NM and JH were funded by the Belgian National Science Foundation (FNRS), MIS ID 1765914 project. NM was also funded by the Fondation Weiner Anspach (FWA) postdoctoral fellowship. CR Adler M., 1996, GAZING ORACLE DELPHI Ayton P, 1999, INT J FORECASTING, V15, P377, DOI 10.1016/S0169-2070(99)00013-8 Benitez-Capistros F, 2014, ECOL INDIC, V38, P113, DOI 10.1016/j.ecolind.2013.10.019 Burgman M, 2011, CONSERV LETT, V4, P81, DOI 10.1111/j.1755-263X.2011.00165.x Burgman MA, 2014, CONSERV BIOL, V28, P322, DOI 10.1111/cobi.12209 Burgman MA, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0022998 Choi HC, 2006, TOURISM MANAGE, V27, P1274, DOI 10.1016/j.tourman.2005.05.018 Crabbe MJC, 2010, SOC NATUR RESOUR, V23, P181, DOI 10.1080/08941920802409593 DALKEY N, 1963, MANAGE SCI, V9, P458, DOI 10.1287/mnsc.9.3.458 De Brucker K, 2013, EUR J OPER RES, V224, P122, DOI 10.1016/j.ejor.2012.02.021 De Lange HJ, 2010, SCI TOTAL ENVIRON, V408, P3871, DOI 10.1016/j.scitotenv.2009.11.009 Diamond IR, 2014, J CLIN EPIDEMIOL, V67, P401, DOI 10.1016/j.jclinepi.2013.12.002 Donohoe HM, 2009, INT J TOUR RES, V11, P415, DOI 10.1002/jtr.709 Eycott AE, 2011, LANDSCAPE URBAN PLAN, V103, P400, DOI 10.1016/j.landurbplan.2011.08.014 Fischer A, 2007, BIOL CONSERV, V136, P271, DOI 10.1016/j.biocon.2006.11.024 Frewer LJ, 2011, TECHNOL FORECAST SOC, V78, P1514, DOI 10.1016/j.techfore.2011.05.005 Geneletti D, 2008, LANDSCAPE URBAN PLAN, V84, P252, DOI 10.1016/j.landurbplan.2007.08.005 Gill P, 2008, BRIT DENT J, V204, P291, DOI 10.1038/bdj.2008.192 Glass JH, 2013, LAND USE POLICY, V30, P254, DOI 10.1016/j.landusepol.2012.03.024 Gobbi M, 2012, J NAT CONSERV, V20, P274, DOI 10.1016/j.jnc.2012.05.003 Gomez-Zamalloa MG, 2011, FOREST SYST, V20, P81 Hasson F, 2000, J ADV NURS, V32, P1008, DOI 10.1046/j.1365-2648.2000.01567.x Hasson F, 2011, TECHNOL FORECAST SOC, V78, P1695, DOI 10.1016/j.techfore.2011.04.005 Hess GR, 2002, LANDSCAPE URBAN PLAN, V58, P25, DOI 10.1016/S0169-2046(01)00230-4 Hilbert M, 2009, TECHNOL FORECAST SOC, V76, P880, DOI 10.1016/j.techfore.2009.01.001 Hirsch PD, 2011, CONSERV BIOL, V25, P259, DOI 10.1111/j.1523-1739.2010.01608.x Huge Jean, 2010, Environment Development and Sustainability, V12, P561, DOI 10.1007/s10668-009-9211-6 Hussler C, 2011, TECHNOL FORECAST SOC, V78, P1642, DOI 10.1016/j.techfore.2011.07.008 Hutchings Andrew, 2006, J Health Serv Res Policy, V11, P172, DOI 10.1258/135581906777641659 JANIS IL, 1971, PSYCHOL TODAY, V5, P43 Keeney S., 2006, METHODOLOGICAL ISSUE, V53, P9 Kerr NL, 2011, INT J FORECASTING, V27, P14, DOI 10.1016/j.ijforecast.2010.02.001 Kuhnert PM, 2010, ECOL LETT, V13, P900, DOI 10.1111/j.1461-0248.2010.01477.x Kuusi O, 1999, EXPERTISE FUTURE USE Landeta J, 1999, METODO DELPHI TECNIC Landeta J, 2006, TECHNOL FORECAST SOC, V73, P467, DOI 10.1016/j.techfore.2005.09.002 LANDY D, 1974, J PERS SOC PSYCHOL, V29, P299, DOI 10.1037/h0036018 Lemieux CJ, 2011, ENVIRON MANAGE, V48, P675, DOI 10.1007/s00267-011-9700-x Likert Rensis, 1932, ARCH PSYCHOL, V140, P1, DOI DOI 10.1111/J.1540 Lisoir H, 2005, PARTICIPATORY METHOD MacMillan DC, 2006, ANIM CONSERV, V9, P11, DOI 10.1111/j.1469-1795.2005.00001.x MAIER NRF, 1967, PSYCHOL REV, V74, P239, DOI 10.1037/h0024737 Martin TG, 2012, CONSERV BIOL, V26, P29, DOI 10.1111/j.1523-1739.2011.01806.x McBride MF, 2012, METHODS ECOL EVOL, V3, P906, DOI 10.1111/j.2041-210X.2012.00221.x McShane TO, 2011, BIOL CONSERV, V144, P966, DOI 10.1016/j.biocon.2010.04.038 Mehnen N, 2013, LANDSCAPE RES, V38, P607, DOI 10.1080/01426397.2012.690862 Meijering JV, 2013, TECHNOL FORECAST SOC, V80, P1607, DOI 10.1016/j.techfore.2013.01.003 MILLER A, 1986, ENVIRON MANAGE, V10, P321, DOI 10.1007/BF01867255 Moore S, 2009, ENVIRON MANAGE, V43, P17, DOI 10.1007/s00267-008-9187-2 Moreno V, 2010, J ENVIRON MANAGE, V91, P1802, DOI 10.1016/j.jenvman.2010.03.018 Mukherjee N, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0107706 Mukherjee N, 2014, ECOL EVOL, V4, P2247, DOI 10.1002/ece3.1085 MURPHY DD, 1992, ECOL APPL, V2, P3, DOI 10.2307/1941885 NISBETT RE, 1977, J PERS SOC PSYCHOL, V35, P250, DOI 10.1037/0022-3514.35.4.250 Nowack M, 2011, TECHNOL FORECAST SOC, V78, P1603, DOI 10.1016/j.techfore.2011.03.006 O'Faircheallaigh C, 2010, ENVIRON IMPACT ASSES, V30, P19, DOI 10.1016/j.eiar.2009.05.001 O'Neill SJ, 2008, J APPL ECOL, V45, P1649, DOI 10.1111/j.1365-2664.2008.01552.x Ochoa-Gaona S, 2010, FOREST ECOL MANAG, V260, P618, DOI 10.1016/j.foreco.2010.05.018 Oliver I., 2002, ECOL INDIC, V2, P223, DOI DOI 10.1016/S1470-160X(02)00025-0 Orsi F, 2011, ECOL INDIC, V11, P337, DOI 10.1016/j.ecolind.2010.06.001 Parente R, 2011, TECHNOL FORECAST SOC, V78, P1705, DOI 10.1016/j.techfore.2011.07.005 Powell C, 2003, J ADV NURS, V41, P376, DOI 10.1046/j.1365-2648.2003.02537.x RAUCH W, 1979, TECHNOL FORECAST SOC, V15, P159, DOI 10.1016/0040-1625(79)90011-8 Redpath SA, 2004, CONSERV BIOL, V18, P350, DOI 10.1111/j.1523-1739.2004.00421.x Redpath SM, 2013, TRENDS ECOL EVOL, V28, P100, DOI 10.1016/j.tree.2012.08.021 Rist Stephan, 2006, Environment Development and Sustainability, V8, P467, DOI 10.1007/s10668-006-9050-7 Rowe G, 2005, TECHNOL FORECAST SOC, V72, P377, DOI 10.1016/j.techfore.2004.03.004 Rowe G, 2011, TECHNOL FORECAST SOC, V78, P1487, DOI 10.1016/j.techfore.2011.09.002 Scolozzi R, 2012, ECOL INDIC, V21, P134, DOI 10.1016/j.ecolind.2011.07.019 Shen GZ, 2008, CONSERV BIOL, V22, P1144, DOI 10.1111/j.1523-1739.2008.01038.x Simon H.A., 1984, MODELS BOUNDED RATIO Sinha IP, 2011, PLOS MED, V8, DOI 10.1371/journal.pmed.1000393 Spenceley A, 2008, TOURISM GEOGR, V10, P285, DOI 10.1080/14616680802236295 Steinert M, 2009, TECHNOL FORECAST SOC, V76, P291, DOI 10.1016/j.techfore.2008.10.006 Sutherland WJ, 2006, J APPL ECOL, V43, P599, DOI 10.1111/j.1365-2664.2006.01182.x Sutherland WJ, 2014, ORYX, V48, P1, DOI 10.1017/S0030605313001543 Sutherland WJ, 2013, NATURE, V503, P167, DOI 10.1038/503167a Sutherland WJ, 2011, METHODS ECOL EVOL, V2, P238, DOI 10.1111/j.2041-210X.2010.00083.x Swor T, 2011, ENVIRON IMPACT ASSES, V31, P506, DOI 10.1016/j.eiar.2011.01.014 Tapio P, 2002, TECHNOLOGICAL FORECA, V70, P19 Tapio P, 2011, TECHNOL FORECAST SOC, V78, P1616, DOI 10.1016/j.techfore.2011.03.016 TUROFF M, 1970, TECHNOL FORECAST SOC, V2, P149, DOI 10.1016/0040-1625(70)90161-7 United Nations Educational Scientific and Cultural Organization (UNESCO), 2009, UN WORLD WAT DEV REP Urioste-Stone S. de, 2006, International Journal of Rural Management, V2, P191, DOI 10.1177/097300520600200204 von der Gracht HA, 2012, TECHNOL FORECAST SOC, V79, P1525, DOI 10.1016/j.techfore.2012.04.013 Wallington TJ, 2005, BIOSCIENCE, V55, P873, DOI 10.1641/0006-3568(2005)055[0873:EVAOAT]2.0.CO;2 Werner SJ, 2006, WILDLIFE SOC B, V34, P2, DOI 10.2193/0091-7648(2006)34[2:EOAMLH]2.0.CO;2 White PCL, 2005, J APPL ECOL, V42, P421, DOI 10.1111/j.1365-2664.2005.01032.x WOUDENBERG F, 1991, TECHNOL FORECAST SOC, V40, P131, DOI 10.1016/0040-1625(91)90002-W Yaniv I, 2000, ORGAN BEHAV HUM DEC, V83, P260, DOI 10.1006/obhd.2000.2909 NR 90 TC 42 Z9 42 U1 2 U2 40 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 2041-210X EI 2041-2096 J9 METHODS ECOL EVOL JI Methods Ecol. Evol. PD SEP PY 2015 VL 6 IS 9 BP 1097 EP 1109 DI 10.1111/2041-210X.12387 PG 13 WC Ecology SC Environmental Sciences & Ecology GA CT6IG UT WOS:000362916100014 OA Green Published, Bronze DA 2019-04-09 ER PT J AU Yepes, V Garcia-Segura, T Moreno-Jimenez, JM AF Yepes, V. Garcia-Segura, T. Moreno-Jimenez, J. M. TI A cognitive approach for the multi-objective optimization of RC structural problems SO ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING LA English DT Article DE Multi-objective optimization; Analytic Hierarchy Process; Reinforced concrete structures; Ecological and economic sustainability; Cognitive decision making ID DECISION-MAKING; GAS EMISSIONS; LIFE-CYCLE; AHP; DESIGN; CARBONATION; STRATEGIES; ALGORITHM; CRITERIA; SYSTEM AB This paper proposes a cognitive approach for analyzing and reducing the Pareto optimal set for multi-objective optimization (MOO) of structural problems by means of jointly incorporating subjective and objective aspects. The approach provides improved knowledge on the decision-making process and makes it possible for the actors involved in the resolution process and its integrated systems to learn from the experience. The methodology consists of four steps: (i) the construction of the Pareto set using MOO models; (ii) the filtering of the Pareto set by compromise programming methods; (iii) the selection of the preferred solutions, utilizing the relative importance of criteria and the Analytic Hierarchy Process (AHP); (iv) the extraction of the relevant knowledge derived from the resolution process. A case study on the reinforced concrete (RC) I-beam has been included to illustrate the methodology. The compromise solutions are obtained through the objectives of economic feasibility, structural safety, and environmental sustainability criteria. The approach further identifies the patterns of behavior and critical points of the resolution process which reflect the relevant knowledge derived from the cognitive perspective. Results indicated that the solutions selected increased the number of years of service life. The procedure produced durable and ecological structures without price trade-offs. (C) 2015 Politechnika Wroclawska. Published by Elsevier Sp. z o.o. All rights reserved. C1 [Yepes, V.; Garcia-Segura, T.] Univ Politecn Valencia, Inst Concrete Sci & Technol ICITECH, E-46022 Valencia, Spain. [Moreno-Jimenez, J. M.] Univ Zaragoza, GDMZ, Zaragoza, Spain. RP Yepes, V (reprint author), Univ Politecn Valencia, Inst Concrete Sci & Technol ICITECH, E-46022 Valencia, Spain. EM vyepesp@upv.es; tagarse@cam.upv.es; moreno@unizar.es RI Moreno Jimenez, Jose Maria/D-9166-2014; Garcia, Tatiana/K-5950-2017; Yepes, Victor/K-9763-2014 OI Moreno Jimenez, Jose Maria/0000-0002-5037-6976; Garcia, Tatiana/0000-0002-7059-0566; Yepes, Victor/0000-0001-5488-6001 FU Spanish Ministry of Science and Innovation FX The Spanish Ministry of Science and Innovation. CR Altuzarra A, 2013, INT J INF TECH DECIS, V12, P837, DOI 10.1142/S0219622013500314 Altuzarra A, 2010, OPER RES, V58, P1755, DOI 10.1287/opre.1100.0856 Catalonia Institute of Construction Technology, 2014, BEDEC PR PCT ITEC MA Chiu CK, 2014, AUTOMAT CONSTR, V39, P15, DOI 10.1016/j.autcon.2013.11.005 Collins F, 2010, INT J LIFE CYCLE ASS, V15, P549, DOI 10.1007/s11367-010-0191-4 European Federation of Concrete Admixtures Associations, 2006, ENV PROD DECL EPD NO Flower DJM, 2007, INT J LIFE CYCLE ASS, V12, P282, DOI 10.1065/lca2007.05.327 Fomento M., 2008, CODE STRUCTURAL CONC Garcia-Segura T., 2014, 2014 INT C HIGH PERF Garcia-Segura T, 2014, LAT AM J SOLIDS STRU, V11, P1190, DOI 10.1590/S1679-78252014000700007 Garcia-Segura T, 2014, INT J LIFE CYCLE ASS, V19, P3, DOI 10.1007/s11367-013-0614-0 GLAUBER RJ, 1963, J MATH PHYS, V4, P294, DOI 10.1063/1.1703954 Hancock BJ, 2013, STRUCT MULTIDISCIP O, V48, P763, DOI 10.1007/s00158-013-0925-6 Lagerblad B., 2005, CARBON DIOXIDE UPTAK Liao TW, 2011, AUTOMAT CONSTR, V20, P491, DOI 10.1016/j.autcon.2010.12.006 Moreno-Jimenez JM, 2014, GOV INFORM Q, V31, P185, DOI 10.1016/j.giq.2013.09.004 Moreno-Jimenez JM, 2014, COMPUT HUM BEHAV, V30, P409, DOI 10.1016/j.chb.2013.04.027 Martinez-Martin FJ, 2012, J ZHEJIANG UNIV-SC A, V13, P420, DOI 10.1631/jzus.A1100304 Mattson CA, 2004, ENG OPTIMIZ, V36, P721, DOI 10.1080/0305215042000274942 Medina JR, 2001, J WATERW PORT C-ASCE, V127, P213, DOI 10.1061/(ASCE)0733-950X(2001)127:4(213) Medineckiene M, 2015, ARCH CIV MECH ENG, V15, P11, DOI 10.1016/j.acme.2014.09.001 METROPOLIS N, 1953, J CHEM PHYS, V21, P1087, DOI 10.1063/1.1699114 Muerza V, 2014, PROD PLAN CONTROL, V25, P715, DOI 10.1080/09537287.2013.798089 Paya I, 2008, COMPUT-AIDED CIV INF, V23, P596, DOI 10.1111/j.1467-8667.2008.00561.x Paya-Zaforteza I, 2010, MECCANICA, V45, P693, DOI 10.1007/s11012-010-9285-0 Rachmawati L, 2009, IEEE T EVOLUT COMPUT, V13, P810, DOI 10.1109/TEVC.2009.2017515 Saaty T.L., 1990, ANAL HIERARCHY PROCE Saha S, 2010, KNOWL INF SYST, V23, P1, DOI 10.1007/s10115-009-0204-4 Serafini P., 1992, 10 INT C MULTIPLE CR, V1, P87 Tuutti K., 1982, CORROSION STEEL CONC Varthanan PA, 2013, J MANUF SYST, V32, P632, DOI 10.1016/j.jmsy.2013.05.014 Zavadskas EK, 2014, ARCH CIV MECH ENG, V14, P114, DOI 10.1016/j.acme.2013.07.006 NR 32 TC 29 Z9 29 U1 3 U2 22 PU ELSEVIER URBAN & PARTNER SP. Z O O PI WROCLAW PA UL KOSCIUSZKI 29, WROCLAW, 50-011, POLAND SN 1644-9665 EI 2083-3318 J9 ARCH CIV MECH ENG JI Arch. Civ. Mech. Eng. PD SEP PY 2015 VL 15 IS 4 BP 1024 EP 1036 DI 10.1016/j.acme.2015.05.001 PG 13 WC Engineering, Civil; Engineering, Mechanical; Materials Science, Multidisciplinary SC Engineering; Materials Science GA CT0CX UT WOS:000362462600028 DA 2019-04-09 ER PT J AU Kim, S Jamal, T AF Kim, Soyeun Jamal, Tazim TI The co-evolution of rural tourism and sustainable rural development in Hongdong, Korea: complexity, conflict and local response SO JOURNAL OF SUSTAINABLE TOURISM LA English DT Article DE rural tourism; sustainable rural development; nested markets; educational travel; Hongdong; Korea ID AGRICULTURE; PARADIGM; CHINA; FOOD AB This research examines the evolution of rural tourism in Hongdong Town, Korea, and its links to agricultural change, and traditional small farm survival, as part of sustainable rural development. The study is informed by cross-disciplinary literature in rural development, specifically, multi-functional agriculture and nested markets. Results show a complex, dynamic terrain where new strategies are emerging within an agricultural sector struggling to survive global free trade policies and neoliberalism. Here, rural tourism is neither a simple, business-orientated project nor a step-by-step process of tourism development. It emerges, together with nested markets, in the rural agricultural domain. Farmers, residents and newcomers draw upon historical practices and cultural knowledge to create innovative, quality products and educational experiences that contribute to the sustainability of local agricultural livelihoods and cultural traditions. However, shifts in public sector roles and structural changes in the growth and power of the agriculture cooperatives exacerbate the tensions and conflicts evident within the community in this struggle for rural survival. The study offers possibilities for new forms of local tourism experience and nested markets that can contribute to sustainable rural development, and has links to universal key issues of empowerment, control, understanding, markets and product development in rural tourism. C1 [Kim, Soyeun; Jamal, Tazim] Texas A&M Univ, Dept Recreat Pk & Tourism Sci, College Stn, TX 77843 USA. RP Kim, S (reprint author), Texas A&M Univ, Dept Recreat Pk & Tourism Sci, 600 John Kimbrough Blvd,455 AGLS 2261 TAMU, College Stn, TX 77843 USA. EM ecoksy@tamu.edu OI Jamal, Tazim/0000-0002-6277-2247 CR Allen P, 2003, J RURAL STUD, V19, P61, DOI 10.1016/S0743-0167(02)00047-5 Allen P., 2004, TOGETHER TABLE SUSTA Almas R., 2002, GLOBALIZATION LOCALI ALTIERI MA, 1989, AGR ECOSYST ENVIRON, V27, P37, DOI 10.1016/0167-8809(89)90070-4 Blay-Palmer Alison, 2008, FOOD FEARS IND SUSTA Cater C., 2011, SUSTAINABLE TOURISM, P61 Cawley M, 2008, ANN TOURISM RES, V35, P316, DOI 10.1016/j.annals.2007.07.011 Chambers D., 2005, Rural tourism and sustainable business, P180 Choo H, 2009, J SUSTAIN TOUR, V17, P431, DOI 10.1080/09669580802713440 Clarke AE, 2005, SITUATIONAL ANAL GRO Dernoi L., 1991, TOURISM RECREATION R, V16, P3 Dickinson JE, 2011, J SUSTAIN TOUR, V19, P281, DOI 10.1080/09669582.2010.524704 Emerson R. M., 2011, WRITING ETHNOGRAPHIC Everett S, 2008, J SUSTAIN TOUR, V16, P150, DOI 10.2167/jost696.0 Gao SL, 2009, INT J TOUR RES, V11, P439, DOI 10.1002/jtr.712 George EW, 2009, TOUR CULT CHANG, P1 Goodman D, 2004, SOCIOL RURALIS, V44, P3, DOI 10.1111/j.1467-9523.2004.00258.x Guba E. G., 1981, EFFECTIVE EVALUATION Guthman J, 2004, CAL STUD CRIT HUM GE, V11, P1 Hall C. M., 2005, Rural tourism and sustainable business, P149 Hall D, 2003, NEW DIRECTIONS RURAL Hong S, 2003, ANN TOURISM RES, V30, P323, DOI 10.1016/S0160-7383(02)00060-9 Kim S., 2013, ANN M RSS Knickel K, 2000, SOCIOL RURALIS, V40, P512, DOI 10.1111/1467-9523.00164 KNICKEL K, 2001, J ENVIRON POL PLAN, V3, P123, DOI DOI 10.1002/JEPP.79 Korea Integrated Rice Duck Farming Organization (KIRDFO), 2006, 5 AS S INT RIC DUCK Koutsouris A, 2009, J SUSTAIN TOUR, V17, P567, DOI 10.1080/09669580902855810 Lane B., 1994, Journal of Sustainable Tourism, V2, P7 Lane B., 2012, P 12 CIT C, P1020 Lee S. W., 2005, J RURAL DEVELOP, V29, P67 Majewski J., J SUSTAIN TOUR, V23, DOI [10.1080/09669582.2015.1019513, DOI 10.1080/09669582.2015.1019513] Marsden T, 2001, J ENVIRON POL PLAN, V3, P75, DOI [10.1001/jepp.77, DOI 10.1002/JEPP.77, DOI 10.1001/JEPP.77] Marsden T, 2003, CONDITION RURAL SUST Marshall Catherine, 2006, DESIGNING QUALITATIV McGehee NG, 2015, J SUSTAIN TOUR, V23, P1277, DOI 10.1080/09669582.2015.1019514 Miele M., 2001, J ENV POLICY PLANNIN, V3, P149 Organisation for Economic Co-Operation and Development (OECD), 2001, MULT AN FRAM Phillip S, 2010, TOURISM MANAGE, V31, P754, DOI 10.1016/j.tourman.2009.08.001 Polman N., 2010, Rivista di Economia Agraria, V65, P295 Richards G., 2003, TOURISM SUSTAINABLE Rutz D., 2009, RURAL DEV NEWS JAN, V1, P23 Saxena G, 2008, ANN TOURISM RES, V35, P233, DOI 10.1016/j.annals.2007.07.010 Sharpley R., 2005, The management of tourism, P175 Sharpley R., 2004, International Journal of Tourism Research, V6, P119, DOI 10.1002/jtr.478 Sharpley R., 2003, New directions in rural tourism, P38 Sims R, 2009, J SUSTAIN TOUR, V17, P321, DOI 10.1080/09669580802359293 Sonnino R., 2008, Unfolding webs: the dynamics of regional rural development, P29 Thompson CS, 2004, ANN TOURISM RES, V31, P580, DOI 10.1016/j.annals.2003.11.004 van der Ploeg J. D., 2002, LIVING COUNTRYSIDES, P179 van der Ploeg J. D., 2008, UNFOLDING WEBS DYNAM van der Ploeg JD, 2012, J PEASANT STUD, V39, P133, DOI 10.1080/03066150.2011.652619 van der Ploeg JD, 2000, SOCIOL RURALIS, V40, P391, DOI 10.1111/1467-9523.00156 Ventura F., 2010, RIV EC AGRARIA, VLXV, P319 Wilson GA, 2001, T I BRIT GEOGR, V26, P77, DOI 10.1111/1475-5661.00007 Wright W, 2008, FIGHT FOOD PRODUCERS NR 55 TC 11 Z9 12 U1 6 U2 36 PU CHANNEL VIEW PUBLICATIONS PI CLEVEDON PA FRANKFURT LODGE, CLEVEDON HALL, VICTORIA ROAD, CLEVEDON, BS21 7HH, ENGLAND SN 0966-9582 EI 1747-7646 J9 J SUSTAIN TOUR JI J. Sustain. Tour. PD SEP-OCT PY 2015 VL 23 IS 8-9 SI SI BP 1363 EP 1385 DI 10.1080/09669582.2015.1022181 PG 23 WC Green & Sustainable Science & Technology; Hospitality, Leisure, Sport & Tourism SC Science & Technology - Other Topics; Social Sciences - Other Topics GA CS8LR UT WOS:000362339600012 DA 2019-04-09 ER PT J AU van Vuuren, DP Kok, M Lucas, PL Prins, AG Alkemade, R van den Berg, M Bouwrnan, L van der Esch, S Jeuken, M Kram, T Stehfest, E AF van Vuuren, Detlef P. Kok, Marcel Lucas, Paul L. Prins, Anne Gerdien Alkemade, Rob van den Berg, Maurits Bouwrnan, Lex van der Esch, Stefan Jeuken, Michel Kram, Tom Stehfest, Elke TI Pathways to achieve a set of ambitious global sustainability objectives by 2050: Explorations using the IMAGE integrated assessment model SO TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE LA English DT Article; Proceedings Paper CT IIASA 40th Anniversary Conference CY OCT 24-26, 2012 CL Laxenburg, AUSTRIA DE Integrated assessment; Modelling; Sustainable development; Global change ID DEVELOPING-COUNTRIES; FOOD SECURITY; STRATEGIES; ENERGY; CHALLENGES; FRAMEWORK; SCENARIOS; FUTURE; COSTS AB In 2012, governments worldwide renewed their commitments to a more sustainable development that would eradicate poverty, halt climate change and conserve ecosystems, and initiated a process to create a long-term vision by formulating Sustainable Development Goals (SDGs). Although progress in achieving a more sustainable development has been made in some areas, overall, actions have not been able to bend the trend in critical areas (including those related to the so-called food-water-energy nexus). Here, we analyze how different combinations of technological measures and behavioral changes could contribute to achieving a set of sustainability objectives, taking into account the interlinkages between them. The objectives include eradicating hunger, providing universal access to modern energy, preventing dangerous climate change, conserving biodiversity and controlling air pollution. The analysis identifies different pathways that achieve these objectives simultaneously, but they all require substantial transformations in the energy and food systems, that go far beyond historic progress and currently formulated policies. The analysis also shows synergies and trade-offs between achieving the different objectives, concluding that achieving them requires a comprehensive approach. The scenario analysis does not point at a fundamental trade-off between the objectives related to poverty eradication and those related to environmental sustainability. The different pathways of achieving the set of long-term objectives and their implications for short-term action can contribute to building a comprehensive strategy to meet the SDGs by proposing near-term actions. (C) 2015 Elsevier Inc. All rights reserved. C1 [van Vuuren, Detlef P.; Kok, Marcel; Lucas, Paul L.; Prins, Anne Gerdien; Alkemade, Rob; van den Berg, Maurits; Bouwrnan, Lex; van der Esch, Stefan; Kram, Tom; Stehfest, Elke] PBL Netherlands Environm Assessment Agcy, NL-3720 AH Bilthoven, Netherlands. [van Vuuren, Detlef P.; Bouwrnan, Lex] Univ Utrecht, Utrecht, Netherlands. [Alkemade, Rob] Wageningen Univ & Res Ctr WUR, Wageningen, Netherlands. [van den Berg, Maurits] EC Joint Res Ctr JRC IES, Ispra, Italy. [Jeuken, Michel] Deltares, Delft, Netherlands. RP van Vuuren, DP (reprint author), PBL Netherlands Environm Assessment Agcy, POB 303, NL-3720 AH Bilthoven, Netherlands. RI Bouwman, Lex/F-1444-2015; van Vuuren, Detlef/A-4764-2009 OI Bouwman, Lex/0000-0002-2045-1859; van Vuuren, Detlef/0000-0003-0398-2831; Alkemade, Rob/0000-0001-8761-1768; Lucas, Paul/0000-0003-0292-7830 FU European Union [603942] FX This article benefited from funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no 603942 (PATHWAYS). CR AGECC, 2010, EN SUST FUT Alkemade R, 2009, ECOSYSTEMS, V12, P374, DOI 10.1007/s10021-009-9229-5 Amell N. W., 2011, GLOB ENV CHANG, V21, P592 Bennett EM, 2007, FRONT ECOL ENVIRON, V5, P191, DOI 10.1890/1540-9295(2007)5[191:TFOPSI]2.0.CO;2 Bernstein S., 2013, GLOBAL ENVIRON POLIT, P13 Bouwman A. F., 2009, GLOBAL BIOGEOCHEM CY, P23 Bouwman L., 2006, INTEGRATED MODELLING Brussaard L, 2010, CURR OPIN ENV SUST, V2, P34, DOI 10.1016/j.cosust.2010.03.007 Chuwah C, 2013, ATMOS ENVIRON, V79, P787, DOI 10.1016/j.atmosenv.2013.07.008 Clarke L, 2010, ENERGY EC S2, V31, pS64 Daioglou V, 2012, ENERGY, V37, P601, DOI 10.1016/j.energy.2011.10.044 Edenhofer O, 2010, ENERG J, V31, P11 FAO-ISSS-ISRIC, 2006, WORLD AGR 2030 2050, P71 GEA, 2012, GLOB EN ASS MOR SUST GEGP, 2012, RIO 20 RESP Godfray HCJ, 2010, SCIENCE, V327, P812, DOI 10.1126/science.1185383 Hajer M, 2011, ENERGETIC SOC SEARCH Hanrahan, 2012, RIO 20 IN PRESS Hutton G., 2006, EVALUATION COSTS BEN IMECHE, 2012, GLOB FOOD WAST NOT W Ivanova I., 2013, GLOBAL ENVIRON POLIT, P13 Klein N., 2013, PNAS Lucas P. L., 2008, GLOBAL INTEGRATED SU Lucas PL, 2007, ENVIRON SCI POLICY, V10, P85, DOI 10.1016/j.envsci.2006.10.007 Lucas PL, 2014, SUSTAINABILITY-BASEL, V6, P193, DOI 10.3390/su6010193 MA, 2005, MILL EC ASS SYNTH RE Nilsson M, 2013, SUSTAINABILITY-BASEL, V5, P4124, DOI 10.3390/su5104124 OECD, 2012, OECD ENV OUTL 2030 OECD-FAO, 2011, AGR OUTL 2011 2020 Ozkaynak B., 2012, GLOBAL ENV OUTLOOK Pachauri S., 2013, ENVIRON RES LETT, P8 Patt AG, 2010, CLIMATIC CHANGE, V99, P383, DOI 10.1007/s10584-009-9687-y PBL, 2012, ROADS RIO 20 PATHW A Rabbinge R, 2012, J INTEGR AGR, V11, P1, DOI 10.1016/S1671-2927(12)60777-9 Riahi K., 2012, GLOBAL ENERGY ASSESS Riahi K, 2015, TECHNOL FORECAST SOC, V90, P8, DOI 10.1016/j.techfore.2013.09.016 Rocicstrem J., 2009, NATURE, V461, P472 Schneider M, 2012, GLOBAL ENERGY ASSESS Smith P, 2010, PHILOS T R SOC B, V365, P2941, DOI 10.1098/rstb.2010.0127 Steffen W, 2015, SCIENCE, V347, DOI 10.1126/science.1259855 Stehfest E, 2009, CLIMATIC CHANGE, V95, P83, DOI 10.1007/s10584-008-9534-6 Steven D., 2012, SUSTAINABLE DEVELOPM UN, 2008, WORLD POP PROSP 2008 UN (United Nations), 2012, RIO 20 UN C SUST DEV UNCED, 1992, UN C ENV DEV RIO DE UNEP, 2012, GLOB ENV OUTL 2012 UNFCCC, 1992, UN FRAM CONV CLIM C van Ruijven BJ, 2012, ENERGY, V38, P386, DOI 10.1016/j.energy.2011.11.037 van Vuuren DP, 2012, CURR OPIN ENV SUST, V4, P18, DOI 10.1016/j.cosust.2012.01.004 van Vuuren DP, 2007, CLIMATIC CHANGE, V81, P119, DOI 10.1007/s10584-006-9172-9 van Vuuren DP, 2013, CLIMATIC CHANGE, V121, P473, DOI 10.1007/s10584-013-0769-5 van Vuuren DP, 2012, GLOBAL ENVIRON CHANG, V22, P884, DOI 10.1016/j.gloenvcha.2012.06.001 van Vuuren DP, 2011, CLIMATIC CHANGE, V109, P95, DOI 10.1007/s10584-011-0152-3 Watson B., 2008, INT ASSESSMENT AGR S WHO, 2005, AIR QUAL GUID GLOB U NR 55 TC 43 Z9 43 U1 15 U2 96 PU ELSEVIER SCIENCE INC PI NEW YORK PA 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA SN 0040-1625 EI 1873-5509 J9 TECHNOL FORECAST SOC JI Technol. Forecast. Soc. Chang. PD SEP PY 2015 VL 98 BP 303 EP 323 DI 10.1016/j.techfore.2015.03.005 PG 21 WC Business; Regional & Urban Planning SC Business & Economics; Public Administration GA CS5QV UT WOS:000362134000024 HC Y HP N DA 2019-04-09 ER PT J AU Khondaker, B Kattan, L AF Khondaker, Bidoura Kattan, Lina TI Variable speed limit: A microscopic analysis in a connected vehicle environment SO TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES LA English DT Article DE Variable speed limit; Connected vehicle; Sustainability; Macroscopic; Microscopic; Optimization ID TRAFFIC SAFETY; FREEWAYS; WAVES; RISK AB This paper presents a Variable Speed Limit (VSL) control algorithm for simultaneously maximizing the mobility, safety and environmental benefit in a Connected Vehicle environment. Development of Connected Vehicle (CV)/Autonomous Vehicle (AV) technology has the potential to provide essential data at the microscopic level to provide a better understanding of real-time driver behavior. This paper investigated a VSL control algorithm using a microscopic approach by focusing on individual driver's behavior (e.g., acceleration and deceleration) through the use of Model Predictive Control (MPC) approach. A multi-objective optimization function was formulated with the aim of finding a balanced trade-off among mobility, safety and sustainability. A microscopic traffic flow prediction model was used to calculate Total Travel Time (TIT); a surrogate safety measure Time To Collision (TTC) was used to measure instantaneous safety; and, a microscopic fuel consumption model (VT-Micro) was used to measure the environmental impact. Real-time driver's compliance to the posted speed limit was used to adjust the optimal speed limit values. A sensitivity analysis was conducted to compare the performance of the developed approach for different weights in the objective function and for two different percentages of CV. The results showed that with 100% penetration rate, the developed VSL approach outperformed the uncontrolled scenario consistently, resulting in up to 20% of total travel time reductions, 6-11% of safety improvements and 5-16% reduction in fuel consumptions. Our findings revealed that the scenario which optimized for safety alone, resulted in more optimum improvements as compared to the multi-criteria optimization. Thus, one can argue that in case of 100% penetration rates of CVs, optimizing for safety alone is enough to achieve simultaneous and optimum improvements in all measures. However, mixed results were obtained in case of lower % penetration rate which showed higher collision risk when optimizing for only mobility or fuel consumption. This indicates that with such % penetration rate, multi-criteria optimization is crucial to realize optimum and balanced benefits for the examined measures. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. C1 [Khondaker, Bidoura; Kattan, Lina] Univ Calgary, Schulich Sch Engn, Calgary, AB T2N 1N4, Canada. RP Kattan, L (reprint author), Univ Calgary, Schulich Sch Engn, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada. EM bkhondak@ucalgary.ca; Ikattan@ucalgary.ca OI Kattan, Lina/0000-0002-7352-6607 FU Natural Science and Engineering Research Council of Canada (NSERC); Stantec; Alberta Motor Association-Alberta Innovates Technology Futures (AMA-AITF) collaborative grant in Smart Multimodal Transportation Systems; Urban Alliance FX The authors wish to thank the Natural Science and Engineering Research Council of Canada (NSERC), Stantec, Alberta Motor Association-Alberta Innovates Technology Futures (AMA-AITF) collaborative grant in Smart Multimodal Transportation Systems and Urban Alliance for providing funding for this research. Special thanks to Aishwaiya Malgonde and Imran Matin for helping in writing the codes. The authors would also like to thank three anonymous reviewers for their careful reading of our manuscript and their many insightful comments and suggestions which helped us to improve the manuscript. CR Abdel-Aty M, 2006, ACCIDENT ANAL PREV, V38, P335, DOI 10.1016/j.aap.2005.10.010 Abdel-Aty M, 2007, 86 TRB ANN M WASH DC Abdel-Aty M, 2007, J INTELL TRANSPORT S, V11, P107, DOI 10.1080/15472450701410395 Allaby P., 2006, IEEE T INTELL TRANSP, V8, P671 Bachmann C., 2010, TRANSP RES BOARD TRA Bachmann C, 2011, TRANSPORT RES REC, P31, DOI 10.3141/2237-04 Carlson RC, 2013, J INTELL TRANSPORT S, V17, P268, DOI 10.1080/15472450.2012.721330 Carlson RC, 2010, TRANSPORT SCI, V44, P238, DOI 10.1287/trsc.1090.0314 Carlson RC, 2010, TRANSPORT RES C-EMER, V18, P193, DOI 10.1016/j.trc.2009.05.014 Carlson RC, 2011, IEEE T INTELL TRANSP, V12, P1261, DOI 10.1109/TITS.2011.2156792 Castro A. G., 2013, P 13 INT C REL STAT, P117 Chen DJ, 2014, TRANSPORT RES B-METH, V70, P340, DOI 10.1016/j.trb.2014.08.006 Gazis D. C., 1900, OPER RES, V9, P545 Gettman D., 2003, TRANSPORT RES REC, V1840, P104, DOI DOI 10.3141/1840-12 Ghods H., 2010, IEEE T INTELL TRANSP, V11 Grumert E., 2013, P 92 TRANSP RES BOAR Hegyi, 2004, THESIS DELFT U Hegyi A, 2005, IEEE T INTELL TRANSP, V6, P102, DOI 10.1109/TITS.2004.842408 Hegyi A., 2010, 13 INT IEEE ANN C IN Hegyi A., 2008, P 11 INT IEEE C INT Herrera JC, 2010, TRANSPORT RES C-EMER, V18, P568, DOI 10.1016/j.trc.2009.10.006 Jo Y., 2012, INT J FUZZY SYST, V14 Kattan L., 2015, J TRANSPORT LETT, DOI [http://dx.doLorg/10.1179/1942787514Y.0000000053, DOI 10.1179/1942787514Y.0000000053] Lavansiri D., 2003, THESIS MICHIGAN STAT Lee C, 2006, TRANSPORT RES C-EMER, V14, P213, DOI 10.1016/j.trc.2006.06.002 Lee J, 2013, TRANSPORT RES C-EMER, V32, P193, DOI 10.1016/j.trc.2012.09.004 Lyles R. W., 2004, 83 TRB ANN M COMP TR Maciejowski J. M, 2002, PREDICTIVE CONTROL C NEWELL GF, 1993, TRANSPORT RES B-METH, V27, P281, DOI 10.1016/0191-2615(93)90038-C Papamichail I., 2008, 17 IFAC WORLD C SEOU Park B., 2003, P 82 TRB ANN M WASH Pei-Wei L., 2004, J INTELL TRANSPORT S, V8, P155 Piao J, 2008, PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, P833, DOI 10.1109/ITSC.2008.4732618 Popov A, 2008, TRANSPORT RES REC, P93, DOI 10.3141/2086-11 PTV Vision, 2011, VISSIM 5 30 05 US MA Rakha H, 2004, TRANSPORT RES D-TR E, V9, P49, DOI 10.1016/S1361-9209(03)00054-3 Rama P., 1999, TRANSPORT RES REC, P53, DOI DOI 10.3141/1689-08 Smith Brian L., 2014, J INTELL TRANSPO NOV SMULDERS S, 1990, TRANSPORT RES B-METH, V24, P111, DOI 10.1016/0191-2615(90)90023-R Smulders SA, 1998, IEE CONF PUBL, P155 Soriguera F, 2013, J INTELL TRANSPORT S, V17, P78, DOI 10.1080/15472450.2012.719455 Talebpour A, 2013, TRANSPORT RES REC, P69, DOI 10.3141/2391-07 Treiber M., 2000, PHYS REV E, V62, P180 US EPA, 2001, MOT VEH EM SIM MOVES Wu XK, 2014, TRANSPORT RES C-EMER, V42, P28, DOI 10.1016/j.trc.2014.02.001 Yang H., 2010, 12 WCTR LISB PORT JU Yu RJ, 2014, TRANSPORT RES C-EMER, V46, P235, DOI 10.1016/j.trc.2014.05.016 Zackor H., 1979, P INT S TRAFF CONT A, V2A, P226 Zegeye S. K., 2010, P AM CONTR C, P5392 ZHANG J, 2005, P 8 INT IEEE C INT T, P543 NR 50 TC 45 Z9 47 U1 2 U2 41 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0968-090X J9 TRANSPORT RES C-EMER JI Transp. Res. Pt. C-Emerg. Technol. PD SEP PY 2015 VL 58 BP 146 EP 159 DI 10.1016/j.trc.2015.07.014 PN A PG 14 WC Transportation Science & Technology SC Transportation GA CS2SX UT WOS:000361923300010 OA Other Gold DA 2019-04-09 ER PT J AU Girard, C Pulido-Velazquez, M Rinaudo, JD Page, C Caballero, Y AF Girard, Corentin Pulido-Velazquez, Manuel Rinaudo, Jean-Daniel Page, Christian Caballero, Yvan TI Integrating top-down and bottom-up approaches to design global change adaptation at the river basin scale SO GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS LA English DT Article DE Climate change; Adaptation measures; River basin model; Climate check; Top-down; Bottom-up ID CLIMATE-CHANGE IMPACT; WATER-RESOURCES MANAGEMENT; ECOSYSTEM SERVICES; MODELING FRAMEWORK; SCENARIOS; SYSTEMS; FRANCE; RISK; UNCERTAINTIES; OPTIMIZATION AB The high uncertainty associated with the effect of global change on water resource systems calls for a better combination of conventional top-down and bottom-up approaches, in order to design robust adaptation plans at the local scale. The methodological framework presented in this article introduces "bottom-up meets top-down" integrated approach to support the selection of adaptation measures at the river basin level by comprehensively integrating the goals of economic efficiency, social acceptability, environmental sustainability and adaptation robustness. The top-down approach relies on the use of a chain of models to assess the impact of global change on water resources and its adaptive management over a range of climate projections. Future demand scenarios and locally prioritised adaptation measures are identified following a bottom-up approach through a participatory process with the relevant stakeholders and experts. The optimal combinations of adaptation measures are then selected using a hydro-economic model at basin scale for each climate projection. The resulting adaptation portfolios are, finally, climate checked to define a robust least-regret programme of measures based on trade-offs between adaptation costs and the reliability of supply for agricultural demands. This innovative approach has been applied to a Mediterranean basin, the Orb river basin (France). Midterm climate projections, downscaled from 9 General Climate Models, are used to assess the uncertainty associated with climate projections. Demand evolution scenarios are developed to project agricultural and urban water demands on the 2030 time horizon. The results derived from the integration of the bottom-up and top-down approaches illustrate the sensitivity of the adaptation strategies to the climate projections, and provide an assessment of the trade-offs between the performance of the water resource system and the cost of the adaptation plan to inform local decision-making. The article contributes new methodological elements for the development of an integrated framework for decision-making under climate change uncertainty, advocating an interdisciplinary approach that bridges the gap between bottom-up and top-down approaches. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Girard, Corentin; Pulido-Velazquez, Manuel] Univ Politecn Valencia, Res Inst Water & Environm Engn IIAMA, Valencia 46022, Spain. [Rinaudo, Jean-Daniel; Caballero, Yvan] French Geol Survey, BRGM, F-34000 Montpellier, France. [Page, Christian] CERFACS European Ctr Res & Adv Training Sci Comp, CERFACS CNRS, URA 1875, F-31057 Toulouse 1, France. RP Girard, C (reprint author), Univ Politecn Valencia, Res Inst Water & Environm Engn IIAMA, Camino Vera S-N, Valencia 46022, Spain. EM cogimar@upv.es; mapuve@hma.upv.es; jd.rinaudo@brgm.fr; christian.page@cerfacs.fr; y.caballero@brgm.fr RI Pulido-Velazquez, Manuel/N-1619-2014 OI Pulido-Velazquez, Manuel/0000-0001-7009-6130 FU BRGM-ONEMA joint project on Hydro-economic modelling; Spanish ministry MINECO (Ministerio de Economia y Competitividad) [CGL2013-48424-C2-1-R]; European FEDER funds; University Lecturer Training Program of the Ministry of Education, Culture and Sports of Spain [FPU12/03803] FX The study has been financially supported by BRGM-ONEMA joint project on Hydro-economic modelling and by the IMPADAPT project (CGL2013-48424-C2-1-R) from the Spanish ministry MINECO (Ministerio de Economia y Competitividad) with European FEDER funds. Corentin Girard is supported by a grant from the University Lecturer Training Program (FPU12/03803) of the Ministry of Education, Culture and Sports of Spain. We also acknowledge the CERFACS for the climate scenarios provided from the SCRATCH 2010 dataset (March 2012 release - http://www.cerfacs.fr/similar to page/work/scratch/). We thank as well the anonymous reviewers and the Editors of Global Environmental Change, for their useful and encouraging comments during the review process. CR Adger WN, 2009, CLIMATIC CHANGE, V93, P335, DOI 10.1007/s10584-008-9520-z Adger WN, 2003, ECON GEOGR, V79, P387 AERMC (Agence de l'Eau Rhone Mediterranee Corse), 2009, SCHEM AM GEST EAUX B Alcamo J, 2007, HYDROLOG SCI J, V52, P247, DOI 10.1623/hysj.52.2.247 Allen R. G., 1998, FAO Irrigation and Drainage Paper Bangash RF, 2013, SCI TOTAL ENVIRON, V458, P246, DOI 10.1016/j.scitotenv.2013.04.025 Barron J., 2011, Water Alternatives, V4, P145 Barthel R, 2008, ENVIRON MODELL SOFTW, V23, P1095, DOI 10.1016/j.envsoft.2008.02.004 Bates B. C., 2008, TECHNICAL PAPER INTE, P210, DOI DOI 10.1016/J.JMB.2010.08.039 Berkhout F, 2002, GLOBAL ENVIRON CHANG, V12, P83, DOI 10.1016/S0959-3780(02)00006-7 Bhave A.G., 2013, J HYDROL Biesbroek GR, 2010, GLOBAL ENVIRON CHANG, V20, P440, DOI 10.1016/j.gloenvcha.2010.03.005 Boe J, 2008, J CLIMATE, V21, P3118, DOI 10.1175/2007JCLI1796.1 Boe J, 2009, CLIM DYNAM, V33, P265, DOI 10.1007/s00382-008-0474-7 Brown C, 2012, EOS T AGU, V93, P401, DOI DOI 10.1029/2012E0410001 Caballero Y., 2007, WATER RESOUR RES, V43 Carpenter SR, 2006, ECOL SOC, V11 Convertino M, 2013, SCI REP-UK, V3, DOI 10.1038/srep02922 Dessai S, 2005, GLOBAL ENVIRON CHANG, V15, P87, DOI 10.1016/j.gloenvcha.2004.12.004 Dessai S, 2004, CLIM POLICY, V4, P107 Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P59, DOI 10.1016/j.gloenvcha.2006.11.005 Dessai S, 2007, GLOBAL ENVIRON CHANG, V17, P1, DOI 10.1016/j.gloenvcha.2006.12.001 Dessai S, 2013, WATER RESOUR MANAG, V27, P943, DOI 10.1007/s11269-012-0254-3 Donkor EA, 2014, J WATER RES PLAN MAN, V140, P146, DOI 10.1061/(ASCE)WR.1943-5452.0000314 Dovers S, 2009, GLOBAL ENVIRON CHANG, V19, P4, DOI 10.1016/j.gloenvcha.2008.06.006 Ekstrom M, 2013, GLOBAL ENVIRON CHANG, V23, P115, DOI 10.1016/j.gloenvcha.2012.11.003 Faysse N, 2014, REG ENVIRON CHANGE, V14, pS57, DOI 10.1007/s10113-012-0362-x Fowler HJ, 2007, INT J CLIMATOL, V27, P1547, DOI 10.1002/joc.1556 Giorgi F, 2008, GLOBAL PLANET CHANGE, V63, P90, DOI 10.1016/j.gloplacha.2007.09.005 Girard C., 2012, BRGMRP6139FR Girard C, 2015, WATER RESOUR MANAG, V29, P4129, DOI 10.1007/s11269-015-1049-0 Girard C, 2015, ENVIRON MODELL SOFTW, V69, P42, DOI 10.1016/j.envsoft.2015.02.023 Gleckler P.J., 2008, J GEOPHYS RES D, V113 Gleick PH, 2003, SCIENCE, V302, P1524, DOI 10.1126/science.1089967 Groves D.G., 2008, PREPARING UNCERTAIN, P98 Haasnoot M, 2013, GLOBAL ENVIRON CHANG, V23, P485, DOI 10.1016/j.gloenvcha.2012.12.006 Hallegatte S, 2009, GLOBAL ENVIRON CHANG, V19, P240, DOI 10.1016/j.gloenvcha.2008.12.003 Harou JJ, 2009, J HYDROL, V375, P627, DOI 10.1016/j.jhydrol.2009.06.037 Hatzilacou D, 2007, WATER RESOUR RES, V43, DOI 10.1029/2006WR004878 Hayes K, 2011, EP102467 ACERA PROJ Heinz I, 2007, WATER RESOUR MANAG, V21, P1103, DOI 10.1007/s11269-006-9101-8 Huang IB, 2011, SCI TOTAL ENVIRON, V409, P3578, DOI 10.1016/j.scitotenv.2011.06.022 Hwang C. L., 1981, MULTIPLE ATTRIBUTE D, P1981 Iglesias A, 2007, WATER RESOUR MANAG, V21, P775, DOI 10.1007/s11269-006-9111-6 IPCC, 2007, CLIMATE CHANGE 2007 JACOBY HD, 1972, WATER RESOUR RES, V8, P1401, DOI 10.1029/WR008i006p01401 Johnson B. L., 1999, CONSERV ECOL, V3, P8, DOI DOI 10.5751/ES-00136-030208 Kasprzyk JR, 2013, ENVIRON MODELL SOFTW, V42, P55, DOI 10.1016/j.envsoft.2012.12.007 Kjellstrom E, 2013, CLIM RES, V56, P103, DOI 10.3354/cr01146 Knutti R, 2013, GEOPHYS RES LETT, V40, P1194, DOI 10.1002/grl.50256 Knutti R, 2010, J CLIMATE, V23, P2739, DOI 10.1175/2009JCLI3361.1 Labadie JW, 2004, J WATER RES PLAN MAN, V130, P93, DOI 10.1061/(ASCE)0733-9496(2004)130:2(93) LEAVESLEY GH, 1994, CLIMATIC CHANGE, V28, P159, DOI 10.1007/BF01094105 Lempert RJ, 2006, MANAGE SCI, V52, P514, DOI 10.1287/mnsc.1050.0472 Ludwig R, 2011, ENVIRON SCI POLICY, V14, P794, DOI 10.1016/j.envsci.2011.04.003 Madani K, 2011, ADV WATER RESOUR, V34, P607, DOI 10.1016/j.advwatres.2011.02.009 March H, 2012, ECOL ECON, V82, P126, DOI 10.1016/j.ecolecon.2012.07.006 Mariotti A, 2008, ENV RES LETT, V3 Martin-Carrasco F, 2013, WATER RESOUR MANAG, V27, P1693, DOI 10.1007/s11269-012-0081-6 Mastrandrea MD, 2010, CLIMATIC CHANGE, V100, P87, DOI 10.1007/s10584-010-9827-4 Maton L., 2012, BRGMRP61323FR Maton L, 2008, BRGMRP56143FR, V1 Mearns LO, 2010, CLIMATIC CHANGE, V100, P77, DOI 10.1007/s10584-010-9841-6 MEDDTL, 2011, PLAN NAT AD CHANG CL MEEDDT (Ministere de l'ecologie de l'energie du developpement durable et de l'amenagement du terittoire), 2008, B OFF MIN EC EN DEV Meehl GA, 2007, B AM METEOROL SOC, V88, P1383, DOI 10.1175/BAMS-88-9-1383 Meyer R, 2012, CLIMATIC CHANGE, V110, P1, DOI 10.1007/s10584-011-0050-8 Milano M, 2012, CR GEOSCI, V344, P432, DOI 10.1016/j.crte.2012.07.006 Moody P, 2013, WATER RESOUR RES, V49, P3576, DOI 10.1002/wrcr.20228 Mouelhi S, 2006, J HYDROL, V318, P200, DOI 10.1016/j.jhydrol.2005.06.014 Munaretto S, 2014, ECOL SOC, V19, DOI 10.5751/ES-06381-190274 Nash J. Eamonn, 1970, J HYDROL, V10, P282, DOI [10.1016/0022-1694(70)90255-6, DOI 10.1016/0022-1694(70)90255-6] Nurse LA, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT B: REGIONAL ASPECTS, P1613 Page C, 2010, TRCMGC1058 Pahl-Wostl C, 2009, GLOBAL ENVIRON CHANG, V19, P354, DOI 10.1016/j.gloenvcha.2009.06.001 Praskievicz S, 2009, PROG PHYS GEOG, V33, P650, DOI 10.1177/0309133309348098 Prell C, 2009, SOC NATUR RESOUR, V22, P501, DOI 10.1080/08941920802199202 Prudhomme C, 2010, J HYDROL, V390, P198, DOI 10.1016/j.jhydrol.2010.06.043 Pulido-Velazquez D., 2014, HYDROL PROCESS Quevauviller P., 2014, J HYDROL Quintana-Segui P, 2008, J APPL METEOROL CLIM, V47, P92, DOI 10.1175/2007JAMC1636.1 Rajagopalan B, 2009, WATER RESOUR RES, P45 Rinaudo J.D., 2012, BRGMRP61317FR Rinaudo J.D., 2013, BRGMRP61323FR Rinaudo J-D, BRGMRP61311FR Rinaudo J-D, 2013, BRGMRP61794FR Rinaudo JD, 2013, ANAL COOT EFFICACITE Rinaudo JD, 2013, AGR WATER MANAGE, V130, P103, DOI 10.1016/j.agwat.2013.08.016 Rinaudo JD, 2012, WATER RESOUR MANAG, V26, P2057, DOI 10.1007/s11269-012-9998-z Rosenthal E. R., 2012, GAMS USERS GUIDE Salas JD, 2012, J WATER RES PLAN MAN, V138, P385, DOI 10.1061/(ASCE)WR.1943-5452.0000279 Singh A, 2012, J HYDROL, V466, P167, DOI 10.1016/j.jhydrol.2012.08.004 Smit B, 2006, GLOBAL ENVIRON CHANG, V16, P282, DOI 10.1016/j.gloenvcha.2006.03.008 Smith JB, 1997, GLOBAL ENVIRON CHANG, V7, P251, DOI 10.1016/S0959-3780(97)00001-0 SMVO (Syndicat Mixte de la Vallee de l'Orb), 2013, M001803039EV SMVO Solomon S, 2007, CONTRIBUTION WORKING Srdjevic B, 2004, WATER RESOUR MANAG, V18, P35, DOI 10.1023/B:WARM.0000015348.88832.52 Steinschneider S., 2012, WATER RESOUR RES, V48 Taylor KE, 2012, B AM METEOROL SOC, V93, P485, DOI 10.1175/BAMS-D-11-00094.1 Terray L, 2013, CR GEOSCI, V345, P136, DOI 10.1016/j.crte.2013.02.003 Teutschbein C, 2012, J HYDROL, V456, P12, DOI 10.1016/j.jhydrol.2012.05.052 UNECE (United Nations Economic Commission for Europe), 2009, ECEMPWAT30 UNECE Vier E., 2011, ETUDE DEFINITION DEB Walters C. J, 1986, ADAPTIVE MANAGEMENT Weiland FCS, 2012, HYDROL EARTH SYST SC, V16, P1047, DOI 10.5194/hess-16-1047-2012 Wilby RL, 2010, WEATHER, V65, P180, DOI 10.1002/wea.543 Wriedt G, 2009, J HYDROL, V373, P527, DOI 10.1016/j.jhydrol.2009.05.018 NR 107 TC 19 Z9 19 U1 3 U2 62 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0959-3780 EI 1872-9495 J9 GLOBAL ENVIRON CHANG JI Glob. Environ. Change-Human Policy Dimens. PD SEP PY 2015 VL 34 BP 132 EP 146 DI 10.1016/j.gloenvcha.2015.07.002 PG 15 WC Environmental Sciences; Environmental Studies; Geography SC Environmental Sciences & Ecology; Geography GA CR8DT UT WOS:000361582000012 DA 2019-04-09 ER PT J AU Hilborn, R Fulton, EA Green, BS Hartmann, K Tracey, SR Watson, RA AF Hilborn, Ray Fulton, Elizabeth A. Green, Bridget S. Hartmann, Klaas Tracey, Sean R. Watson, Reg A. TI When is a fishery sustainable? SO CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES LA English DT Article ID INDIVIDUAL TRANSFERABLE QUOTAS; POPULATION-DYNAMICS; REGIME SHIFTS; TRAWL FISHERY; TRADE-OFFS; SCALE FLUCTUATIONS; MANAGEMENT OPTIONS; SALMON POPULATION; MARINE ECOSYSTEMS; MULTIPLE STOCKS AB Despite the many scientific and public discussions on the sustainability of fisheries, there are still great differences in both perception and definition of the concept. Most authors now suggest that sustainability is best defined as the ability to sustain goods and services to human society, with social and economic factors to be considered along with environmental impacts. The result has been that each group (scientists, economists, non-governmental organizations (NGOs), etc.) defines "sustainable seafood" using whatever criteria it considers most important, and the same fish product may be deemed sustainable by one group and totally unsustainable by another one. We contend, however, that there is now extensive evidence that an ecological focus alone does not guarantee long-term sustainability of any form and that seafood sustainability must consistently take on a socio-ecological perspective if it is to be effective across cultures and in the future. The sustainability of seafood production depends not on the abundance of a fish stock, but on the ability of the fishery management system to adjust fishing pressure to appropriate levels. While there are scientific standards to judge the sustainability of food production, once we examine ecological, social, and economic aspects of sustainability, there is no unique scientific standard. C1 [Hilborn, Ray] Univ Washington, Sch Fisheries & Aquat Sci, Seattle, WA 98195 USA. [Fulton, Elizabeth A.] CSIRO, Oceans & Atmosphere Flagship, Hobart, Tas 7001, Australia. [Fulton, Elizabeth A.] Univ Tasmania, Ctr Marine Socioecol, Hobart, Tas 7001, Australia. [Green, Bridget S.; Hartmann, Klaas; Tracey, Sean R.; Watson, Reg A.] Univ Tasmania, Inst Marine & Antarctic Studies, Hobart, Tas 7001, Australia. RP Hilborn, R (reprint author), Univ Washington, Sch Fisheries & Aquat Sci, Box 355020, Seattle, WA 98195 USA. EM rayh@u.washington.edu RI Fulton, Elizabeth/A-2871-2008 OI Fulton, Elizabeth/0000-0002-5904-7917 FU National Science Foundation [1041570]; Australian Research Council Discovery project [DP140101377]; Australian National Network of Marine Science (ANNiMS) through Australian Commonwealth Department of Education, Employment and Workplace Relations FX RH was supported by a grant from the National Science Foundation (award 1041570). The authors acknowledge funding support from the Australian Research Council Discovery project support (DP140101377). We also thank the Australian National Network of Marine Science (ANNiMS) funded through the Australian Commonwealth Department of Education, Employment and Workplace Relations. We thank Jake Rice for numerous constructive suggestions. CR Adams W. M., 2006, IUCN REN THINK M 29 Agnew DJ, 2014, ICES J MAR SCI, V71, P216, DOI 10.1093/icesjms/fst091 Allison EH, 2006, MAR POLICY, V30, P757, DOI 10.1016/j.marpol.2006.02.001 Ardill D., 2011, SMARTFISH WORKING PA Barot S, 2004, ECOL APPL, V14, P1257, DOI 10.1890/03-5066 Bene C, 2008, WORLD DEV, V36, P875, DOI 10.1016/j.worlddev.2007.05.010 Beverton RJ, 1957, DYNAMICS EXPLOITED F, VII Blanchard JL, 2014, J APPL ECOL, V51, P612, DOI 10.1111/1365-2664.12238 Branch TA, 2006, MAR POLICY, V30, P281, DOI 10.1016/j.marpol.2004.12.003 Branch TA, 2008, CAN J FISH AQUAT SCI, V65, P1435, DOI 10.1139/F08-065 Brown CJ, 2012, ECOL APPL, V22, P298, DOI 10.1890/11-0419.1 Chapin FS, 2010, TRENDS ECOL EVOL, V25, P241, DOI 10.1016/j.tree.2009.10.008 Clark CW, 2005, J ENVIRON ECON MANAG, V50, P47, DOI 10.1016/j.jeem.2004.11.002 COLLIE JS, 1990, CAN J FISH AQUAT SCI, V47, P145, DOI 10.1139/f90-015 Cury PM, 2011, SCIENCE, V334, P1703, DOI 10.1126/science.1212928 Degnbol P, 2007, ICES J MAR SCI, V64, P793, DOI 10.1093/icesjms/fsm040 Dewees CM, 1998, ECOL APPL, V8, pS133, DOI 10.2307/2641371 Dieckmann U, 2007, MAR ECOL PROG SER, V335, P253, DOI 10.3354/meps335253 Dietrich KS, 2009, BIOL CONSERV, V142, P2642, DOI 10.1016/j.biocon.2009.06.013 FAO, 2003, FAO TECHN GUID RE S2, P1, DOI DOI 10.1017/CB09781107415324.004 Farmery A, 2014, J CLEAN PROD, V64, P368, DOI 10.1016/j.jclepro.2013.10.016 Fernandes PG, 2011, ICES J MAR SCI, V68, P1734, DOI 10.1093/icesjms/fsr131 Folke C, 2004, ANNU REV ECOL EVOL S, V35, P557, DOI 10.1146/annurev.ecolsys.35.021103.105711 Fulton EA, 2007, ALTERNATIVE MANAGEME Fulton EA, 2011, FISH FISH, V12, P171, DOI 10.1111/j.1467-2979.2011.00412.x Fulton EA, 2011, FISH FISH, V12, P2, DOI 10.1111/j.1467-2979.2010.00371.x Garcia SM, 2012, SCIENCE, V335, P1045, DOI 10.1126/science.1214594 Gilbert DJ, 1997, CAN J FISH AQUAT SCI, V54, P969, DOI 10.1139/cjfas-54-4-969 Grafton RQ, 2007, SCIENCE, V318, P1601, DOI 10.1126/science.1146017 Hall MA, 2000, MAR POLLUT BULL, V41, P204, DOI 10.1016/S0025-326X(00)00111-9 Hall MA, 1998, REV FISH BIOL FISHER, V8, P1, DOI 10.1023/A:1008854816580 Hall SJ, 2006, CAN J FISH AQUAT SCI, V63, P1344, DOI 10.1139/F06-039 Hare SR, 2000, PROG OCEANOGR, V47, P103, DOI 10.1016/S0079-6611(00)00033-1 HILBORN R, 1976, J FISH RES BOARD CAN, V33, P1, DOI 10.1139/f76-001 Hilborn R, 2003, P NATL ACAD SCI USA, V100, P6564, DOI 10.1073/pnas.1037274100 Hilborn R, 2014, ICES J MAR SCI, V71, P2141, DOI 10.1093/icesjms/fsu035 Hilborn R, 2012, CONSERV BIOL, V26, DOI 10.1111/j.1523-1739.2011.01800.x Hilborn R, 2010, FISHERIES, V35, P113, DOI 10.1577/1548-8446-35.3.113 Hilborn R, 2010, MAR POLICY, V34, P193, DOI 10.1016/j.marpol.2009.04.013 Hobday AJ, 2008, WILDLIFE RES, V35, P712, DOI 10.1071/WR08067 Hutchings JA, 2004, BIOSCIENCE, V54, P297, DOI 10.1641/0006-3568(2004)054[0297:MFPCCF]2.0.CO;2 Jacobsen NS, 2014, P ROY SOC B-BIOL SCI, V281, DOI 10.1098/rspb.2013.2701 Jennings S, 2014, ANN NY ACAD SCI, V1322, P48, DOI 10.1111/nyas.12489 Johnston RJ, 2006, J AGR RESOUR ECON, V31, P283 Kar TK, 2013, ECOL MODEL, V250, P134, DOI 10.1016/j.ecolmodel.2012.11.015 Kates R., 1999, OUR COMMON JOURNEY T Kates RW, 2005, ENVIRONMENT, V47, P8 Keith DM, 2012, CAN J FISH AQUAT SCI, V69, P1150, DOI 10.1139/F2012-055 Kelly RP, 2015, PHILOS T R SOC B, V370, DOI 10.1098/rstb.2013.0276 Lae R, 1997, Fisheries Management and Ecology, V4, P149, DOI 10.1046/j.1365-2400.1997.00098.x Lewison RL, 2004, ECOL LETT, V7, P221, DOI 10.1111/j.1461-0248.2004.00573.x Li ML, 2012, J AGR ENVIRON ETHIC, V25, P33, DOI 10.1007/s10806-010-9288-9 Liermann M, 1997, CAN J FISH AQUAT SCI, V54, P1976, DOI 10.1139/cjfas-54-9-1976 Marine Stewardship Council, 2010, MAR STEW COUNC FISH Matsuda H, 2006, ECOL APPL, V16, P225, DOI 10.1890/05-0346 Matsuda Hiroyuki, 2008, P359 McClanahan TR, 2008, ECOL APPL, V18, P1516, DOI 10.1890/07-0876.1 Melvin EF, 2004, CCAMLR SCI, V11, P189 Mundy P. R., 1998, PRINCIPLES CRITERIA Munro D. A., 1991, CARING EARTH STRATEG Murawski SA, 2000, ICES J MAR SCI, V57, P649, DOI 10.1006/jmsc.2000.0738 MYERS RA, 1995, SCIENCE, V269, P1106, DOI 10.1126/science.269.5227.1106 National Research Council, 2002, EFF TRAWL DREDG SEAF Neubauer P, 2013, SCIENCE, V340, P347, DOI 10.1126/science.1230441 Pascoe S, 2010, INT REV ENVIRON RESO, V4, P123, DOI 10.1561/101.00000032 PAULIK GJ, 1967, J FISH RES BOARD CAN, V24, P2527, DOI 10.1139/f67-202 Pauly D., 1988, P329 Pauly D, 2000, ICES J MAR SCI, V57, P697, DOI 10.1006/jmsc.2000.0726 Pestes LR, 2008, CONSERV BIOL, V22, P351, DOI 10.1111/j.1523-1739.2007.00875.x Peterson AM, 2011, ENVIRON CONSERV, V38, P342, DOI 10.1017/S0376892911000178 Pinkerton E, 2009, MAR POLICY, V33, P707, DOI 10.1016/j.marpol.2009.02.004 Pitcher CR, 2009, FISH RES, V99, P168, DOI 10.1016/j.fishres.2009.05.017 Quinn TJ, 2005, PHILOS T R SOC B, V360, P147, DOI 10.1098/rstb.2004.1577 Ratner BD, 2014, GLOBAL ENVIRON CHANG, V27, P120, DOI 10.1016/j.gloenvcha.2014.05.006 Restrepo VR, 1999, ICES J MAR SCI, V56, P846, DOI 10.1006/jmsc.1999.0546 Rice J, 2014, ICES J MAR SCI, V71, P157, DOI 10.1093/icesjms/fst078 Ricker W. E, 1958, B FISH RES BOARD CAN, V119, P300 RICKER WE, 1958, J FISH RES BOARD CAN, V15, P991, DOI 10.1139/f58-054 Rogers LA, 2013, P NATL ACAD SCI USA, V110, P1750, DOI 10.1073/pnas.1212858110 Roheim CA, 2011, J AGR ECON, V62, P655, DOI 10.1111/j.1477-9552.2011.00299.x Roheim CA, 2009, MAR RESOUR ECON, V24, P301, DOI 10.1086/mre.24.3.42629657 Schindler DE, 2010, NATURE, V465, P609, DOI 10.1038/nature09060 Schwartzlose RA, 1999, S AFR J MARINE SCI, V21, P289 Sharpless A., 2013, PERFECT PROTEIN FISH Simmons G, 2014, MAR POLICY, V50, P74, DOI 10.1016/j.marpol.2014.05.013 Smith ADM, 2011, SCIENCE, V333, P1147, DOI 10.1126/science.1209395 Smith MD, 2015, ICES J MAR SCI, V72, P275, DOI 10.1093/icesjms/fsu114 Sylwester J. G., 2014, PAC RIM LAW POL J AS, V23, P423 Thorson JT, 2012, CAN J FISH AQUAT SCI, V69, P1556, DOI 10.1139/F2012-077 Tilman D, 2014, NATURE, V515, P518, DOI 10.1038/nature13959 Travers M, 2010, J MARINE SYST, V79, P101, DOI 10.1016/j.jmarsys.2009.07.005 van Denderen PD, 2013, P ROY SOC B-BIOL SCI, V280, DOI 10.1098/rspb.2013.1883 Vert-pre KA, 2013, P NATL ACAD SCI USA, V110, P1779, DOI 10.1073/pnas.1214879110 Votier SC, 2004, J APPL ECOL, V41, P1117, DOI 10.1111/j.0021-8901.2004.00974.x Votier SC, 2007, J AVIAN BIOL, V38, P234, DOI 10.1111/j.2007.0908-8857.03893.x Walters C, 2001, CAN J FISH AQUAT SCI, V58, P39, DOI 10.1139/cjfas-58-1-39 Watling L, 1998, CONSERV BIOL, V12, P1180, DOI 10.1046/j.1523-1739.1998.0120061180.x Watling L, 2013, NATURE, V501, P7, DOI 10.1038/501007a Watson R, 2006, FISH RES, V79, P97, DOI 10.1016/j.fishres.2006.01.010 Wilson J, 2007, ECOL INDIC, V7, P299, DOI 10.1016/j.ecolind.2006.02.009 World Bank and FAO, 2009, SUNK BILL EC JUST FI World Commission on Environment and Development, 1987, OUR COMMON FUTURE Worm B, 2009, SCIENCE, V325, P578, DOI 10.1126/science.1173146 Yandle T, 2008, ENVIRON MANAGE, V41, P915, DOI 10.1007/s00267-008-9081-y NR 104 TC 24 Z9 27 U1 0 U2 76 PU CANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS PI OTTAWA PA 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA SN 0706-652X EI 1205-7533 J9 CAN J FISH AQUAT SCI JI Can. J. Fish. Aquat. Sci. PD SEP PY 2015 VL 72 IS 9 BP 1433 EP 1441 DI 10.1139/cjfas-2015-0062 PG 9 WC Fisheries; Marine & Freshwater Biology SC Fisheries; Marine & Freshwater Biology GA CQ0OZ UT WOS:000360297500014 DA 2019-04-09 ER PT J AU Hanley, N Dupuy, L McLaughlin, E AF Hanley, Nick Dupuy, Louis McLaughlin, Eoin TI GENUINE SAVINGS AND SUSTAINABILITY SO JOURNAL OF ECONOMIC SURVEYS LA English DT Article DE Comprehensive wealth; Dynamic optimization; Future well-being; Genuine Savings; Intergenerational equity; Natural capital; Resource allocation mechanism; Sustainable development ID NET NATIONAL PRODUCT; EXHAUSTIBLE RESOURCE; HARTWICKS RULE; INTERGENERATIONAL EQUITY; EFFICIENT ALLOCATION; INTERTEMPORAL EQUITY; INTERNATIONAL-TRADE; NATURAL-RESOURCES; MAXIMIN PATHS; GROWTH AB Genuine Savings (GS) has emerged as the leading economic indicator of sustainable economic development at the country level. It derives from the literatures on weak sustainability, wealth accounting and national income accounting. We discuss the theoretical underpinnings of GS, focusing on the relationship between changes in a nation's extended capital stock and the future path of consumption. The indicator has entered widespread use propelled by the World Bank's publications, despite its varying performance as a predictor for future consumption. Notwithstanding the extensive body of literature reviewed, promising future research avenues are identified. C1 [Hanley, Nick; Dupuy, Louis; McLaughlin, Eoin] Univ St Andrews, St Andrews KY16 9AJ, Fife, Scotland. RP Hanley, N (reprint author), Univ St Andrews, St Andrews KY16 9AJ, Fife, Scotland. EM ndh3@st-andrews.ac.uk OI Dupuy, Louis/0000-0002-2465-5066; McLaughlin, Eoin/0000-0002-0307-3374 CR ABRAMOVITZ M, 1956, AM ECON REV, V46, P5 Acemoglu D., 2012, WHY NATIONS FAIL ORI Arrow KJ, 2012, ENVIRON DEV ECON, V17, P317, DOI 10.1017/S1355770X12000137 Arrow KJ, 2003, ENVIRON RESOUR ECON, V26, P647, DOI 10.1023/B:EARE.0000007353.78828.98 Arrow KJ, 2003, ECON THEOR, V21, P217, DOI 10.1007/s00199-002-0335-2 ASHEIM GB, 1986, CAN J ECON, V19, P395, DOI 10.2307/135338 Asheim GB, 2003, ENVIRON RESOUR ECON, V25, P129, DOI 10.1023/A:1023909217989 ASHEIM GB, 1994, SCAND J ECON, V96, P257, DOI 10.2307/3440603 Asheim GB, 2001, ECON LETT, V73, P233, DOI 10.1016/S0165-1765(01)00493-1 Asheim GB, 2007, J ENVIRON ECON MANAG, V53, P213, DOI 10.1016/j.jeem.2006.09.001 Asheim GB, 2007, ENVIRON DEV ECON, V12, P11, DOI 10.1017/S1355770X06003366 Asheim GB, 2010, CAN J ECON, V43, P1412, DOI 10.1111/j.1540-5982.2010.01619.x Atkinson G, 2002, RESOUR POLICY, V28, P27, DOI 10.1016/S0301-4207(03)00003-5 Atkinson G., 2012, INCLUSIVE WEALTH REP, P87 Atkinson G, 2007, ENVIRON RESOUR ECON, V37, P43, DOI 10.1007/s10640-007-9114-7 Bogmans C., 2010, REV EC, V61, P93 BREKKE KA, 1994, SCAND J ECON, V96, P241, DOI 10.2307/3440601 Buchholz W, 2005, SCAND J ECON, V107, P547, DOI 10.1111/j.1467-9442.2005.00422.x Cheviakov AF, 2009, ECOL ECON, V68, P2969, DOI 10.1016/j.ecolecon.2009.06.011 CHICHILNISKY G, 1994, AM ECON REV, V84, P851 d'Autume A, 2008, J ENVIRON ECON MANAG, V56, P260, DOI 10.1016/j.jeem.2008.05.001 DASGUPTA P, 1974, REV ECON STUD, P3 Dasgupta P., 2000, ENVIRON DEV ECON, V5, P69, DOI DOI 10.1017/S1355770X00000061 Dasgupta P., 2001, HUMAN WELL BEING NAT Dasgupta P, 2009, ENVIRON RESOUR ECON, V42, P3, DOI 10.1007/s10640-008-9223-y DASGUPTA S, 1983, INT ECON REV, V24, P133, DOI 10.2307/2526119 Divisia F., 1925, REV ECON POLIT, V39, P842 DIXIT A, 1980, REV ECON STUD, V47, P551, DOI 10.2307/2297306 Dupuy L., 2015, U ST ANDREWS DISCUSS Edens B, 2013, J ENVIRON MANAGE, V127, P335, DOI 10.1016/j.jenvman.2013.04.065 Ferreira S., 2005, EC DEV CULTURAL CHAN, V53, P17 Ferreira S, 2008, WORLD BANK ECON REV, V22, P233, DOI 10.1093/wber/lhn008 Ferreira S, 2011, J ENVIRON MANAGE, V92, P542, DOI 10.1016/j.jenvman.2010.09.015 Fisher I, 1906, NATURE CAPITAL INCOM Gnegne Y, 2009, ECOL ECON, V68, P1127, DOI 10.1016/j.ecolecon.2008.08.002 Gollier C., 2012, PRICING PLANETS FUTU Gollier C, 2010, J ECON THEORY, V145, P812, DOI 10.1016/j.jet.2009.10.001 Greasley D, 2014, J ENVIRON ECON MANAG, V67, P171, DOI 10.1016/j.jeem.2013.12.001 Hamilton K, 2005, CAN J ECON, V38, P615, DOI 10.1111/j.0008-4085.2005.00295.x Hamilton K, 2006, WEALTH, WELFARE AND SUSTAINABILITY: ADVANCES IN MEASURING SUSTAINABLE DEVELOPMENT, P1 HAMILTON K, 1994, RESOUR POLICY, V20, P155, DOI 10.1016/0301-4207(94)90048-5 Hamilton K, 1996, REV INCOME WEALTH, P13 Hamilton K., 2004, PORT ECON J, V3, P85 Hamilton K., 2005, 3577 WORLD BANK Hamilton K., 1999, WORLD BANK ECON REV, V13, P24 Hamilton K, 2007, CAN J ECON, V40, P703, DOI 10.1111/j.1365-2966.2007.00427.x Hamilton K, 2014, OXFORD REV ECON POL, V30, P1, DOI 10.1093/oxrep/gru010 Hanley N, 1999, ECOL ECON, V28, P55, DOI 10.1016/S0921-8009(98)00027-5 Hanley N., 2014, U ST ANDREWS DISCUSS Hartwick J. M., 1995, REV INT ECON, V39, P275 HARTWICK JM, 1978, ECON LETT, V1, P85, DOI 10.1016/0165-1765(78)90102-7 Hartwick JM, 2003, ENVIRON RESOUR ECON, V24, P235, DOI 10.1023/A:1022986119310 HARTWICK JM, 1990, J PUBLIC ECON, V43, P291, DOI 10.1016/0047-2727(90)90002-Y HARTWICK JM, 1977, AM ECON REV, V67, P972 Hediger Werner, 2006, Natural Resource Modeling, V19, P359 KRAUTKRAEMER JA, 1985, REV ECON STUD, V52, P153, DOI 10.2307/2297476 Kunnas J, 2014, SCAND ECON HIST REV, V62, P243, DOI 10.1080/03585522.2014.896284 Kuralbayeva K, 2013, J INT ECON, V90, P273, DOI 10.1016/j.jinteco.2013.02.003 Li C. -Z., 2013, ENV EC, V4, P20 Lindmark M, 2013, ECOL ECON, V86, P176, DOI 10.1016/j.ecolecon.2012.06.021 Markandya A, 2007, ENVIRON RESOUR ECON, V37, P297, DOI 10.1007/s10640-007-9117-4 McLaughlin E, 2014, OXFORD REV ECON POL, V30, P44, DOI 10.1093/oxrep/gru002 Meade J. E., 1989, AGATHOTOPIA EC PARTN Meadows DH, 1972, LIMITS GROWTH Mitra T, 2002, J ECON THEORY, V107, P356, DOI 10.1006/jeth.2001.2964 Moro M, 2013, J ENVIRON MANAGE, V127, P337, DOI 10.1016/j.jenvman.2013.04.064 Mota RP, 2013, ECOL ECON, V95, P188, DOI 10.1016/j.ecolecon.2013.08.011 Mota RP, 2010, ECOL ECON, V69, P1934, DOI 10.1016/j.ecolecon.2010.04.026 Okumura R, 2007, JPN ECON REV, V58, P226, DOI 10.1111/j.1468-5876.2007.00348.x Oleson KLL, 2011, J ENVIRON DEV, V20, P329, DOI 10.1177/1070496511416747 Oxley L., 2014, 201403 STIRL EC Pearce DW, 1989, BLUEPRINT GREEN EC Pearce W., 1993, ECOL ECON, V8, P103, DOI DOI 10.1016/0921-8009(93)90039-9 Pemberton M, 2001, SCAND J ECON, V103, P25, DOI 10.1111/1467-9442.00228 Pezzey JCV, 2006, ECOL ECON, V57, P60, DOI 10.1016/j.ecolecon.2005.03.006 Pezzey JCV, 2004, J ENVIRON ECON MANAG, V48, P613, DOI 10.1016/j.jeem.2003.10.002 Pezzey JCV, 1997, LAND ECON, V73, P448, DOI 10.2307/3147239 Pezzey JCV, 2014, ECOL ECON, V106, P141, DOI 10.1016/j.ecolecon.2014.07.008 Pillarisetti JR, 2005, ECOL ECON, V55, P599, DOI 10.1016/j.ecolecon.2005.01.018 Proops JLR, 1999, ECOL ECON, V28, P75, DOI 10.1016/S0921-8009(98)00030-5 Ramsey FP, 1928, ECON J, V38, P543, DOI 10.2307/2224098 RAWLS J, 1974, AM ECON REV, V64, P141 Rawls J, 1971, THEORY JUSTICE Rubio MDM, 2004, J ENVIRON ECON MANAG, V48, P1175, DOI 10.1016/j.jeem.2004.02.002 Sabin P, 2013, BET P EHRLICH J SIMO Samuelson PA, 1949, ECON J, V59, P181, DOI 10.2307/2226683 Sato R, 2002, J ECON DYN CONTROL, V26, P437, DOI 10.1016/S0165-1889(00)00055-5 SOLOW RM, 1986, SCAND J ECON, V88, P141, DOI 10.2307/3440280 SOLOW RM, 1974, REV ECON STUD, P29 STIGLITZ J, 1974, REV ECON STUD, P123 STIGLITZ JE, 1974, REV ECON STUD, P139 Stokey N. L, 1989, RECURSIVE METHODS EC Tol RSJ, 2009, J ECON PERSPECT, V23, P29, DOI 10.1257/jep.23.2.29 UKNEA, 2011, TECHNICAL REPORT UNU-IHDP and UNEP, 2012, INCL WEALTH REP 2012 van der Ploeg F, 2011, J ECON LIT, V49, P366, DOI 10.1257/jel.49.2.366 van der Ploeg F, 2010, RESOUR ENERGY ECON, V32, P28, DOI 10.1016/j.reseneeco.2009.07.002 Ventura J, 1997, Q J ECON, V112, P57, DOI 10.1162/003355397555127 Victor P. A., 1991, ECOL ECON, V4, P191 Vincent J. R., 2001, CTR INT DEV HARVARD Vincent JR, 1997, J ENVIRON ECON MANAG, V33, P274, DOI 10.1006/jeem.1997.0992 WEITZMAN ML, 1976, Q J ECON, V90, P156, DOI 10.2307/1886092 Weitzman ML, 1997, SCAND J ECON, V99, P1, DOI 10.1111/1467-9442.00043 World Bank, 2011, ENVIRON DEV, P1, DOI 10.1596/978-0-8213-8488-6 World Bank, 2006, IS WEALTH NAT MEAS C World Bank, 1997, EXP MEAS WEALTH IND World Bank, 1995, MON ENV PROGR REP WO World Commission on Environment and Development, 1987, TECHNICAL REPORT NR 108 TC 12 Z9 13 U1 0 U2 21 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 0950-0804 EI 1467-6419 J9 J ECON SURV JI J. Econ. Surv. PD SEP PY 2015 VL 29 IS 4 BP 779 EP 806 DI 10.1111/joes.12120 PG 28 WC Economics SC Business & Economics GA CP4NI UT WOS:000359858600008 DA 2019-04-09 ER PT J AU Brandi, C Cabani, T Hosang, C Schirmbeck, S Westermann, L Wiese, H AF Brandi, Clara Cabani, Tobia Hosang, Christoph Sonja Schirmbeck Westermann, Lotte Wiese, Hannah TI Sustainability Standards for Palm Oil: Challenges for Smallholder Certification Under the RSPO SO JOURNAL OF ENVIRONMENT & DEVELOPMENT LA English DT Article DE sustainability standards; certification; smallholders; palm oil; Indonesia; RSPO ID COFFEE; GOVERNANCE; MEXICO; IMPACT; TRADE; LABOR AB This article investigates the integration of smallholders into voluntary certification schemes, exemplified by smallholder certification under the Roundtable on Sustainable Palm Oil in Indonesia (RSPO). It identifies the main barriers to the adoption of standards by smallholders and the specific compliance challenge in the context of RSPO smallholder certification, thereby contributing to the growing literature on the effectiveness of voluntary sustainability standards. It discusses findings on smallholder certification, focusing on antecedent variables as potential adoption determinants at the level of smallholders, smallholder organization, and the institutional context. The empirical findings suggest that smallholders, and specifically independent smallholders, often lack both the information and the degree of organization that certification demands. The article also identifies the most important compliance challenges for independent smallholders in relation to land titles, seedlings, pesticide usage, fertilization, and documentation and outlines how smallholders can be supported so that they can be included in certification schemes. C1 [Brandi, Clara] DIE, German Dev Inst, D-53113 Bonn, Germany. [Cabani, Tobia] UNEP, New York, NY USA. [Hosang, Christoph] Atheneum Partners, Berlin, Germany. [Sonja Schirmbeck] Friedrich Ebert Stiftung, Hanoi, Vietnam. [Westermann, Lotte; Wiese, Hannah] KfW Dev Bank, Frankfurt, Germany. RP Brandi, C (reprint author), DIE, German Dev Inst, Tulpenfeld 6, D-53113 Bonn, Germany. EM clara.brandi@die-gdi.de FU German Federal Ministry for Economic Cooperation and Development (BMZ) FX The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the German Federal Ministry for Economic Cooperation and Development (BMZ). CR Aidenvironment, 2013, DEF SMALLH SUGG RSB Asfaw S, 2010, J INT FOOD AGRIBUS M, V22, P252, DOI 10.1080/08974431003641398 Auld G, 2009, GOVERNANCE ENV NEW P, P183 Auld G, 2010, J ENVIRON DEV, V19, P215, DOI 10.1177/1070496510368506 Badan Pusat Statistik Indonesia/Directorate General of Estate Crops, 2010, IND PALM STAT 2010 Barham BL, 2012, WORLD DEV, V40, P1269, DOI 10.1016/j.worlddev.2011.11.005 Barham BL, 2011, WORLD DEV, V39, P134, DOI 10.1016/j.worlddev.2010.08.005 Beall E., 2012, SMALLHOLDERS GLOBAL Bloomfield MJ, 2012, J ENVIRON DEV, V21, P391, DOI 10.1177/1070496512449822 Bolwig S, 2009, WORLD DEV, V37, P1094, DOI 10.1016/j.worlddev.2008.09.012 Brandi C., 2013, SUSTAINABILITY CERTI Brown S, 2008, GEOFORUM, V39, P1184, DOI 10.1016/j.geoforum.2007.01.002 Clemencon R., 2008, Journal of Environment & Development, V17, P70, DOI 10.1177/1070496508314223 Colchester M., 2006, PROMISED LAND PALM O Conroy Michael E., 2007, BRANDED CERTIFICATIO CUBBAGE F. W., 2009, NATURAL RESOURCES MA, P155 Damiani O., 2003, ADOPTION ORGANIC AGR Danielsen F, 2009, CONSERV BIOL, V23, P348, DOI 10.1111/j.1523-1739.2008.01096.x Dankers C., 2014, IMPACT INT VOLUNTARY De Battisti A., 2009, STANDARD BEARERS HOR Dolan C, 2000, J DEV STUD, V37, P147, DOI 10.1080/713600072 Dragusanu R, 2014, IMPACTS FAIR TRADE C Eden S, 2011, GLOBAL POLITICAL ECOLOGY, P169 Feintrenie L, 2010, SMALL-SCALE FOR, V9, P379, DOI 10.1007/s11842-010-9122-2 Food and Agriculture Organization of the United Nations, 2012, STAT FOOD AGR 2012 Food and Agriculture Organization of the United Nations, 2011, INV CAP BUILD GAP ST Fort R., 2008, IMPACT FAIR TRADE, P75 Gibbon P., 2008, CERTIFIED ORAGNIC EX Giovannucci D., 2005, EVALUATION ORGANIC A Glasbergen P., 2011, INT J STRATEG B ALLI, V2, P189, DOI DOI 10.1504/IJSBA.2011.040886 Henson S, 2009, IMPACTS PRIVATE FOOD Indonesian Palm Oil Commission, 2012, IND PALM OIL STAT 20 International Finance Corporation, 2013, DIAGN STUD IND OIL P International Trade Centre, 2011, INT PUBL PRIV STAND, VIII International Trade Centre, 2012, DO PRIV STAND WORK International Trade Centre, 2011, IMP PRIV STAND GLOB Jaffee D, 2009, IMPACT OF FAIR TRADE, P195 Jaffee S., 2011, MAKING GRADE SMALLHO Jelsma I., 2009, SMALLHOLDER OIL PALM Klooster D, 2006, ANN ASSOC AM GEOGR, V96, P541, DOI 10.1111/j.1467-8306.2006.00705.x Lahcen K., 2004, COST COMPLIANCE SPS Lee JSH, 2011, BIOL CONSERV, V144, P2512, DOI 10.1016/j.biocon.2011.07.006 Levin J, 2012, PROFITABILITY SUSTAI Li TM, 2011, J PEASANT STUD, V38, P281, DOI 10.1080/03066150.2011.559009 Maertens M, 2009, WORLD DEV, V37, P161, DOI 10.1016/j.worlddev.2008.04.006 Mausch K., 2009, Journal of Food Distribution Research, V40, P115 McCarthy JF, 2010, J PEASANT STUD, V37, P821, DOI 10.1080/03066150.2010.512460 Melo CJ, 2007, STUD COMP INT DEV, V42, P256, DOI 10.1007/s12116-007-9009-1 Naqvi A., 2010, ORGANIC AGR OPPORTUN [Organisation for Economic Co-operation and Development Working Party on Agricultural Policies and Markets], 2007, DIR FOOD AGR FISH CO Pichler M, 2013, J ENVIRON DEV, V22, P370, DOI 10.1177/1070496513502967 Rist L, 2010, BIODIVERS CONSERV, V19, P1009, DOI 10.1007/s10531-010-9815-z Rogers EM, 1962, DIFFUSION INNOVATION Roundtable on Sustainable Palm Oil, 2007, RSPO PRINC CRIT SUST Roundtable on Sustainable Palm Oil, 2010, NAT INT RSPO PRINC C Roundtable on Sustainable Palm Oil, 2011, RSPO PRINC CRIT SUST Roundtable on Sustainable Palm Oil, 2009, RSPO PRINC CRIT SUST Roundtable on Sustainable Palm Oil, 2010, RSPO STAND GROUP CER Sexsmith K., 2009, VOLUNTARY SUSTAINABI Shell D., 2009, 51 CIFOR, P67 Steering Committee of the State-of-Knowledge Assessment of Standards and Certification, 2012, SUST ROL LIM CERT Swinton SM, 2008, CHOICES, V23, P28 Van Opijnen M., 2013, LESSONS LEARNT RSPO Vermeulen S., 2006, BETTER PRACTICE SMAL Vogel D, 2008, ANNU REV POLIT SCI, V11, P261, DOI 10.1146/annurev.polisci.11.053106.141706 Wright R. T., 2014, INDONESIA OILSEEDS P NR 66 TC 19 Z9 19 U1 12 U2 78 PU SAGE PUBLICATIONS INC PI THOUSAND OAKS PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA SN 1070-4965 EI 1552-5465 J9 J ENVIRON DEV JI J. Environ. Dev. PD SEP PY 2015 VL 24 IS 3 BP 292 EP 314 DI 10.1177/1070496515593775 PG 23 WC Development Studies; Environmental Studies; Regional & Urban Planning SC Development Studies; Environmental Sciences & Ecology; Public Administration GA CP2VE UT WOS:000359734500002 DA 2019-04-09 ER PT J AU Axelrod, M Roth, B Kramer, DB Salim, SS Novak, JM Sathianandan, TV Kuriakose, S AF Axelrod, Mark Roth, Brian Kramer, Daniel Boyd Salim, Shyam S. Novak, Julia M. Sathianandan, T. V. Kuriakose, Somy TI Cascading Globalization and Local Response: Indian Fishers' Response to Export Market Liberalization SO JOURNAL OF ENVIRONMENT & DEVELOPMENT LA English DT Article DE globalization and environment; trade and environment; coastal socioecological systems; coupled human and natural systems; coastal fisheries; information technology ID SOCIAL-ECOLOGICAL SYSTEMS; MARINE FOOD WEBS; TRADE; RESILIENCE; POLICY; WORLD; SUSTAINABILITY; INFORMATION; ECOSYSTEMS; GOVERNANCE AB Scholars have long debated whether trade liberalization has positive or negative effects on resource use and ecosystems. This study examines the conditions under which resource use increases or decreases in response to reduced trade barriers, specifically after the 2008 World Trade Organization decision that led the United States to reduce anti-dumping duties on Indian shrimp. At the district level in South India, fishing fleet expansion was correlated with access to global market information via mobile phones. Model simulations indicate that increased mobile phone saturation could expand fishing effort sufficiently to deplete multiple marine species groups, while other species benefit from the loss of predators. However, scenario analysis suggests that regulatory interventions could mitigate these ecosystem pressures while still permitting fishers to benefit from increased access to global market information. C1 [Axelrod, Mark; Roth, Brian; Kramer, Daniel Boyd; Novak, Julia M.] Michigan State Univ, Dept Fisheries & Wildlife, E Lansing, MI 48825 USA. [Axelrod, Mark; Kramer, Daniel Boyd] Michigan State Univ, James Madison Coll, E Lansing, MI 48825 USA. [Salim, Shyam S.; Sathianandan, T. V.; Kuriakose, Somy] Indian Council Agr Res, Cent Marine Fisheries Res Inst, Kochi, Kerala, India. RP Axelrod, M (reprint author), Michigan State Univ, James Madison Coll, 842 Chestnut Rd,Room 369L S Case Hall, E Lansing, MI 48825 USA. EM axelrod3@msu.edu RI Axelrod, Mark/L-6384-2016 OI Axelrod, Mark/0000-0003-1734-0434 FU MSU Environmental Science and Policy Program VISTAS Awards FX The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Michigan State University (MSU) participants received a small internal grant from the MSU Environmental Science and Policy Program VISTAS Awards, which we used for Dr. Salim to visit and meet with the MSU authors in January 2014. CR Abraham R, 2007, INF TECHNOL INT DEV, V4, P5, DOI 10.1162/itid.2007.4.1.5 Aker JC, 2010, J ECON PERSPECT, V24, P207, DOI 10.1257/jep.24.3.207 Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x [Anonymous], 2014, HINDU Axelrod Mark, 2011, MANAGING I COMPLEXIT Barkin JS, 2013, SAVING GLOBAL FISHERIES: REDUCING FISHING CAPACITY TO PROMOTE SUSTAINABILITY, P1 Bavinck M., 1998, J LEGAL PLURALISM, V40, P151 Bene C, 2010, WORLD DEV, V38, P933, DOI 10.1016/j.worlddev.2009.12.010 Berkes F, 2006, ECOLOGY SOC, V11 Bhagwati J., 1993, SCI AM, V269, P41 Bhatta R., 2002, FOREIGN TRADE REV, V37, P3 BORT JR, 1987, HUM ORGAN, V46, P233, DOI 10.17730/humo.46.3.c175532744662625 Brewer T. D., 2012, CONSERV BIOL, V27, P443 Brewer TD, 2012, GLOBAL ENVIRON CHANG, V22, P399, DOI 10.1016/j.gloenvcha.2012.01.006 Castello L, 2013, MAR POLICY, V38, P557, DOI 10.1016/j.marpol.2012.09.001 Central Marine Fisheries Research Institute, 2010, MAR FISH CENS Christensen V, 2004, ECOL MODEL, V172, P109, DOI 10.1016/j.ecolmodel.2003.09.003 Cinner JE, 2009, CONSERV BIOL, V23, P124, DOI 10.1111/j.1523-1739.2008.01041.x Cinner JE, 2010, PLOS ONE, V5, DOI 10.1371/journal.pone.0011999 Coulthard S, 2008, GLOBAL ENVIRON CHANG, V18, P479, DOI 10.1016/j.gloenvcha.2008.04.003 Crona B, 2010, MAR POLICY, V34, P761, DOI 10.1016/j.marpol.2010.01.023 DALY HE, 1993, SCI AM, V269, P50, DOI 10.1038/scientificamerican1193-50 de Soysa I, 2005, INT ORGAN, V59, P731, DOI 10.1017/S0020818305050253 Doron A, 2013, GREAT INDIAN PHONE B Essington TE, 2006, P NATL ACAD SCI USA, V103, P3171, DOI 10.1073/pnas.0510964103 Esty DC, 2001, J ECON PERSPECT, V15, P113, DOI 10.1257/jep.15.3.113 Folke C, 2006, GLOBAL ENVIRON CHANG, V16, P253, DOI 10.1016/j.gloenvcha.2006.04.002 Garcia-Johnson R., 2000, EXPORTING ENV US MUL Guha R., 1993, THIS FISSURED LAND E Hoefnagel E, 2013, MAR POLICY, V42, P150, DOI 10.1016/j.marpol.2013.02.006 Hughes TP, 2005, TRENDS ECOL EVOL, V20, P380, DOI 10.1016/j.tree.2005.03.022 International Collective in Support of Fishworkers, 2005, REP DAM ASS IN PRESS Iwasaki S, 2009, SUSTAIN SCI, V4, P281, DOI 10.1007/s11625-009-0084-2 Jackson JBC, 2001, SCIENCE, V293, P629, DOI 10.1126/science.292.5517.629 Jensen R, 2007, Q J ECON, V122, P879, DOI 10.1162/qjec.122.3.879 Kurien J., 1998, SMALL SCALE FISHERIE Lange Peter, 1996, INT DOMESTIC POLITIC, P48 Li J., 2005, J ENVIRON DEV, V14, P252 Lobo AS, 2007, RESONANCE, V12, P60, DOI 10.1007/s12045-007-0051-0 Lopez T. T. de, 2002, Journal of Environment & Development, V11, P355 Mittal S., 2010, SOCIOECONOMIC IMPACT Mohamed K. S., 2008, B CENTRAL MARINE FIS, V51, P140 MOULTON BR, 1986, J ECONOMETRICS, V32, P385, DOI 10.1016/0304-4076(86)90021-7 Muto M, 2009, WORLD DEV, V37, P1887, DOI 10.1016/j.worlddev.2009.05.004 Nielsen M, 2009, MAR POLICY, V33, P1, DOI 10.1016/j.marpol.2008.03.010 Novak J. M., ENV POLICY IN PRESS Olsson P, 2004, ENVIRON MANAGE, V34, P75, DOI 10.1007/s00267-003-0101-7 Ostrom E, 1990, GOVERNING COMMONS EV Overa R, 2006, WORLD DEV, V34, P1301, DOI 10.1016/j.worlddev.2005.11.015 Pauly D, 1998, SCIENCE, V279, P860, DOI 10.1126/science.279.5352.860 Pauly D, 2002, NATURE, V418, P689, DOI 10.1038/nature01017 Perry RI, 2010, PROG OCEANOGR, V87, P331, DOI 10.1016/j.pocean.2010.09.010 Porter G., 1999, J ENVIRON DEV, V8, P133 Prakash A, 2006, AM J POLIT SCI, V50, P350, DOI 10.1111/j.1540-5907.2006.00188.x Punnathara C. J., 2009, HINDU Rabe-Hesketh S, 2005, J ECONOMETRICS, V128, P301, DOI 10.1016/j.jeconom.2004.08.017 Rock MT, 1996, WORLD DEV, V24, P471, DOI 10.1016/0305-750X(95)00152-3 Rudra N, 2011, COMP POLIT STUD, V44, P639, DOI 10.1177/0010414011401207 Salagrama V., 2008, J TRANSDISCIPLINARY, V7, P1 Salim S. S., 2009, ASIAN FISHERIES SCI, V22, P805 Salim S. S., 2012, WORLD TRADE AGREEMEN Sathyapalan J., 2008, MAINTAINING VIABLE T Schmitt K, 2010, ENVIRON CONSERV, V36, P289 Schoon ML, 2012, SOC NATUR RESOUR, V25, P141, DOI 10.1080/08941920.2010.549933 Shrivastava A., 2012, CHURNING EARTH MAKIN Smith MD, 2010, SCIENCE, V327, P784, DOI 10.1126/science.1185345 STIGLER GJ, 1961, J POLIT ECON, V69, P213, DOI 10.1086/258464 Stilwell M., 1999, TE998 WWFCIEL Subramanian A., 2009, SHORELINES SPACE RIG Thebaud O, 2014, MAR POLICY, V43, P382, DOI 10.1016/j.marpol.2013.05.010 Thorpe A, 2005, MAR POLICY, V29, P211, DOI 10.1016/j.marpol.2004.05.004 Tomz M, 2001, CLARIFY SOFTWARE INT Venkataraman K., 2007, NAT RES MON WORKSH Vogel David, 1995, TRADING CONSUMER ENV Walters CJ., 2001, ADAPTIVE MANAGEMENT Watson R, 2006, FISH RES, V79, P97, DOI 10.1016/j.fishres.2006.01.010 Young OR, 2006, GLOBAL ENVIRON CHANG, V16, P304, DOI 10.1016/j.gloenvcha.2006.03.004 Zeng K, 2012, WORLD DEV, V40, P2221, DOI 10.1016/j.worlddev.2012.03.008 Zivin JG, 2012, J ENVIRON DEV, V21, P198, DOI 10.1177/1070496512442932 NR 79 TC 0 Z9 0 U1 1 U2 14 PU SAGE PUBLICATIONS INC PI THOUSAND OAKS PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA SN 1070-4965 EI 1552-5465 J9 J ENVIRON DEV JI J. Environ. Dev. PD SEP PY 2015 VL 24 IS 3 BP 315 EP 344 DI 10.1177/1070496515591577 PG 30 WC Development Studies; Environmental Studies; Regional & Urban Planning SC Development Studies; Environmental Sciences & Ecology; Public Administration GA CP2VE UT WOS:000359734500003 DA 2019-04-09 ER PT J AU Vazquez-Rowe, I Golkowska, K Lebuf, V Vaneeckhaute, C Michels, E Meers, E Benetto, E Koster, D AF Vazquez-Rowe, Ian Golkowska, Katarzyna Lebuf, Viooltje Vaneeckhaute, Celine Michels, Evi Meers, Erik Benetto, Enrico Koster, Daniel TI Environmental assessment of digestate treatment technologies using LCA methodology SO WASTE MANAGEMENT LA English DT Article DE Ammonia; Digestate spreading; Digestate treatment; Dried digestate; Flanders; Life Cycle Assessment ID LIFE-CYCLE ASSESSMENT; ANAEROBIC-DIGESTION; CARBON FOOTPRINT; WASTE; SYSTEMS; ENERGY; CONSEQUENCES; LIMITATIONS; FERTILIZER; FUTURE AB The production of biogas from energy crops, organic waste and manure has augmented considerably the amounts of digestate available in Flanders. This has pushed authorities to steadily introduce legislative changes to promote its use as a fertilising agent. There is limited arable land in Flanders, which entails that digestate has to compete with animal manure to be spread. This forces many anaerobic digestion plants to further treat digestate in such a way that it can either be exported or the nitrogen be removed. Nevertheless, the environmental impact of these treatment options is still widely unknown, as well as the influence of these impacts on the sustainability of Flemish anaerobic digestion plants in comparison to other regions where spreading of raw digestate is allowed. Despite important economic aspects that must be considered, the use of Life Cycle Assessment (LCA) is suggested in this study to identify the environmental impacts of spreading digestate directly as compared to four different treatment technologies. Results suggest relevant environmental gains when the digestate mix is treated using the examined conversion technologies prior to spreading, although important trade-offs between impact categories were observed and discussed. The promising results of digestate conversion technologies suggest that further LCA analyses should be performed to delve into, for instance, the appropriateness to shift to nutrient recovery technologies rather than digestate conversion treatments. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Vazquez-Rowe, Ian; Golkowska, Katarzyna; Benetto, Enrico; Koster, Daniel] LIST, Environm Res & Innovat ERIN, L-4362 Esch Sur Alzette, Luxembourg. [Vazquez-Rowe, Ian] PUCP, Dept Engn, Peruvian LCA Network, Lima, Peru. [Vazquez-Rowe, Ian] Univ Santiago de Compostela, Dept Chem Engn, Santiago De Compostela 15782, Spain. [Lebuf, Viooltje] Flemish Coordinat Ctr Manure Proc, B-8200 Brugge, Belgium. [Vaneeckhaute, Celine; Michels, Evi; Meers, Erik] Univ Ghent, Fac Biosci Engn, Lab Analyt & Appl Ecochem, B-9000 Ghent, Belgium. RP Vazquez-Rowe, I (reprint author), PUCP, Dept Engn, Peruvian LCA Network, Ave Univ 1801,San Miguel 32, Lima, Peru. EM ian.vasquez@pucp.pe RI Benetto, Enrico/H-3234-2012; Meers, Erik/A-2789-2016 OI Benetto, Enrico/0000-0003-1159-9162; Meers, Erik/0000-0002-8296-3462; Koster, Daniel/0000-0003-4272-2063 FU European Commission; Galician Government (I2C postdoctoral student grant program) FX This research project was financially supported by the European Commission within the frame of the INTERREG IVb NWE Project "Accelarating Renewable Energies through valorization of Biogenic Organic Raw Material (ARBOR)". The authors wish to express their gratitude to J. de Vries and P. Hoekma (Wageningen University), B. Ryckaert (Inagro) and T. Rehl and J. Muller (University of Hohenheim) for valuable scientific exchange. Dr. Ian Vazquez-Rowe would like to thank the Galician Government for financial support (I2C postdoctoral student grants program). Authors with affiliation to the University of Santiago de Compostela (Spain) belong to the Galician Competitive Research Group GRC 2013-032. CR Althaus HJ, 2007, 8 EMPA DUB SWISS CTR [Anonymous], 2006, 1404044 ISO Astrup T., 2011, ENV ASSESSMENT RENEW Bakx T., 2009, ETAT ART METHODES RE Berglund M, 2006, BIOMASS BIOENERG, V30, P254, DOI 10.1016/j.biombioe.2005.11.011 BMU, 2009, CHAR REN EN NUMB VAL Brouwer F., 1999, MANAGING NITR POLL I, P23 Carozzi M, 2013, SCI TOTAL ENVIRON, V449, P126, DOI 10.1016/j.scitotenv.2012.12.082 De Mol R.M., 2003, METHAAN LACHGAS AMMO De Vries JW, 2012, J ENVIRON MANAGE, V102, P173, DOI 10.1016/j.jenvman.2012.02.032 Doka G., 2011, MIXTRI 2 0 MS EXCEL Dones R, 2007, 5 P SCHERR I VILL SW EUROBSERV'ER, 2012, SYSTEMES SOLAIRES J Fabbri C., 2010, Informatore Agrario, V66, P63 FERTISTAT, 2012, FERTISTAT DAT FERT S Forbes E.G.A., 2005, EVALUATION MANURE TR, P114 Frischknecht R., 2007, 3 EC SWISS CTR LIF C Goedkoop M., 2009, 1 VROM MIN HOUS SPAT Golkowska K, 2014, WATER SCI TECHNOL, V69, P656, DOI 10.2166/wst.2013.742 Golkowska K, 2012, 4 INT S EN BIOM WAST Groupe Gemix, 2009, QUEL MIX EN ID BELG Hamelin L, 2011, ENVIRON SCI TECHNOL, V45, P5869, DOI 10.1021/es200273j Hofstetter P, 2000, J IND ECOL, V3, P97, DOI [10.1162/108819899569584, DOI 10.1162/108819899569584] Holm-Nielsen JB, 2009, BIORESOURCE TECHNOL, V100, P5478, DOI 10.1016/j.biortech.2008.12.046 ILCD, 2011, REC LIF CYCL IMP ASS ILCD, 2010, GEN GUID LIF CYCL AS IPCC, 2013, CLIM CHANG 2013 PHYS IPCC, 2006, IPCC GUIDELINES NATL, V4 ISO, 2002, 140482002 ISOTS Laurent A, 2014, WASTE MANAGE, V34, P573, DOI 10.1016/j.wasman.2013.10.045 Laurent A, 2012, ENVIRON SCI TECHNOL, V46, P4100, DOI 10.1021/es204163f Lauwers J, 2013, PROG ENERG COMBUST, V39, P383, DOI 10.1016/j.pecs.2013.03.003 Lebuf V., 2012, 4 INT S EN BIOM WAST Levasseur A., 2012, IND ECOL, V17, P117, DOI DOI 10.1111/J.1530-9290.2012.00503.X Levasseur A, 2010, ENVIRON SCI TECHNOL, V44, P3169, DOI 10.1021/es9030003 Lootsma A., 2008, BIO SEKUNDARROHSTOFF, P559 Mezzullo WG, 2013, APPL ENERG, V102, P657, DOI 10.1016/j.apenergy.2012.08.008 Nemecek T., 2007, LIFE CYCLE INVENTORI Oenema O., 2000, FORFAITAIRE WARDEN G Petterson S.A., 2003, GUIDELINES SAFE USE Prapaspongsa T, 2010, J CLEAN PROD, V18, P1413, DOI 10.1016/j.jclepro.2010.05.015 Reap J, 2008, INT J LIFE CYCLE ASS, V13, P374, DOI 10.1007/s11367-008-0009-9 Rehl T, 2011, RESOUR CONSERV RECY, V56, P92, DOI 10.1016/j.resconrec.2011.08.007 Smet J., 2003, COMMUN AGR APPL BIOL, V68, P125 Spielmann M., 2007, 14 EC SWISS CTR LIF Vaneeckhaute C, 2013, BIOMASS BIOENERG, V55, P175, DOI 10.1016/j.biombioe.2013.01.032 Vaneeckhaute C, 2013, BIOMASS BIOENERG, V49, P239, DOI 10.1016/j.biombioe.2012.12.036 Vazquez-Rowe I, 2014, SCI TOTAL ENVIRON, V472, P78, DOI 10.1016/j.scitotenv.2013.10.097 VLM, 2012, FERT RESTR GRASSL AR Weidema BP, 2008, J IND ECOL, V12, P3, DOI 10.1111/j.1530-9290.2008.00005.x NR 50 TC 25 Z9 27 U1 2 U2 53 PU PERGAMON-ELSEVIER SCIENCE LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND SN 0956-053X J9 WASTE MANAGE JI Waste Manage. PD SEP PY 2015 VL 43 BP 442 EP 459 DI 10.1016/j.wasman.2015.05.007 PG 18 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA CP4ST UT WOS:000359873600047 PM 26092475 DA 2019-04-09 ER PT J AU Timmermann, C Felix, GF AF Timmermann, Cristian Felix, Georges F. TI Agroecology as a vehicle for contributive justice SO AGRICULTURE AND HUMAN VALUES LA English DT Article DE Meaningful work; Knowledge-intensive farming; Capabilities; Peer recognition; Mutual influence; Self-determination; Empowerment ID FOOD SOVEREIGNTY; MEANINGFUL WORK; AGRICULTURE; SYSTEMS; SUSTAINABILITY; LABOR; CAPABILITIES; FOUNDATIONS; STRATEGIES; MANAGEMENT AB Agroecology has been criticized for being more labor-intensive than other more industrialized forms of agriculture. We challenge the assertion that labor input in agriculture has to be generally minimized and argue that besides quantity of work one should also consider the quality of work involved in farming. Early assessments on work quality condemned the deskilling of the rural workforce, whereas later criticisms have concentrated around issues related to fair trade and food sovereignty. We bring into the discussion the concept of contributive justice to welcome the added labor-intensity of agroecological farming. Contributive justice demands a work environment where people are stimulated to develop skills and learn to be productive. It also suggests a fairer distribution of meaningful work and tedious tasks. Building on the notion of contributive justice we explore which capabilities and types of social relationships are sustainably promoted and reinforced by agroecological farming practices. We argue that agroecological principles encourage a reconceptualization of farm work. Farmers are continuously stimulated to develop skills and acquire valuable experiential knowledge on local ecosystems and agricultural techniques. Further, generalized ecological studies recognize the significance of the farmer's observations on natural resources management. This contributes to the development of a number of capabilities and leads to more bargaining power, facilitating self-determination. Hereby farm work is made more attractive to a younger generation, which is an essential factor for safeguarding the continuity of family farms. C1 [Timmermann, Cristian] Univ Nacl Autonoma Mexico, Inst Invest Filosof, Mexico City 04510, DF, Mexico. [Timmermann, Cristian] Ben Gurion Univ Negev, Jacques Loeb Ctr Hist & Philosophy Life Sci, IL-84105 Beer Sheva, Israel. [Felix, Georges F.] Wageningen Univ, Farming Syst Ecol Grp, NL-6708 PB Wageningen, Netherlands. RP Timmermann, C (reprint author), Ben Gurion Univ Negev, Jacques Loeb Ctr Hist & Philosophy Life Sci, POB 653, IL-84105 Beer Sheva, Israel. EM cristian.timmermann@gmail.com; georges.felix@wur.nl RI Timmermann, Cristian/K-9583-2013; Timmermann, Cristian/U-8690-2017 OI Timmermann, Cristian/0000-0001-7935-2823; Timmermann, Cristian/0000-0001-7935-2823; Felix, Georges F./0000-0001-7342-6545 FU Jacques Loeb Centre for the History and Philosophy of the Life Sciences, Ben-Gurion University of the Negev; European Union ERA-ARD-II Woody Amendments for Sudano-Sahelian Agroecosystems (WASSA) research project FX Cristian Timmermann benefited from a post-doctoral fellowship at the Jacques Loeb Centre for the History and Philosophy of the Life Sciences, Ben-Gurion University of the Negev. Georges Felix is funded by the European Union ERA-ARD-II Woody Amendments for Sudano-Sahelian Agroecosystems (WASSA) research project. We would like to thank the participants of seminars held October 2013 in Wageningen and June 2014 in Beer Sheva where earlier versions of this paper were presented, as well as Pablo Tittonell, Isabella Trifan, the journal's editor, and the anonymous reviewers for their valuable feedback and critical remarks. CR Aerts S., 2013, ETHICS CONSUMPTION C, P172 Altieri M., 2005, AGROECOLOGY SEARCH T Altieri M. A., 1999, Agriculture and Human Values, V16, P131, DOI 10.1023/A:1007545304561 Altieri M. A., 2002, Agroecological innovations: increasing food production with participatory development, P40 Altieri M. A., 2008, Development (London), V51, P472, DOI 10.1057/dev.2008.68 Altieri Miguel A, 2003, Acta bioeth., V9, P47, DOI 10.4067/S1726-569X2003000100005 Altieri MA, 2011, J PEASANT STUD, V38, P587, DOI 10.1080/03066150.2011.582947 ARNESON RJ, 1987, ETHICS, V97, P517, DOI 10.1086/292864 BEITZ Charles R., 2009, IDEA HUMAN RIGHTS Bernstein H, 2014, J PEASANT STUD, V41, P1031, DOI 10.1080/03066150.2013.852082 Beuchelt TD, 2012, AGR HUM VALUES, V29, P259, DOI 10.1007/s10460-012-9355-0 Bommarco R, 2013, TRENDS ECOL EVOL, V28, P230, DOI 10.1016/j.tree.2012.10.012 Bongiovanni R., 2004, Precision Agriculture, V5, P359, DOI 10.1023/B:PRAG.0000040806.39604.aa Bonilla E. P., 2011, CADERNOS AGROECOLOGI, V6, P1 Borlaug NE, 2007, EUPHYTICA, V157, P287, DOI 10.1007/s10681-007-9480-9 Braverman H., 1998, LABOR MONOPOLY CAPIT Britz JJ, 2001, LIBRI, V51, P234, DOI 10.1515/LIBR.2001.234 Busch L, 2003, J AGR ENVIRON ETHIC, V16, P459, DOI 10.1023/A:1026383727365 Callicott J. Baird, 1988, J AGR ETHICS, V1, P3, DOI DOI 10.1007/BF02014458 Dalgaard T, 2003, AGR ECOSYST ENVIRON, V100, P39, DOI 10.1016/S0167-8809(03)00152-X de Ponti T, 2012, AGR SYST, V108, P1, DOI 10.1016/j.agsy.2011.12.004 De Schutter O., 2010, 16 SESS GEN ASS UN H De Schutter O, 2009, INT TRADE AGR RIGHT DEBRIEY L, 2002, REV PHILOS EC, V5, P5 Dubgen F., 2014, WAS IST GERECHT KENN Earle A., 2010, RAISING GLOBAL FLOOR Ellis F, 1998, J DEV STUD, V35, P1, DOI 10.1080/00220389808422553 Erenstein O, 2011, AGR SYST, V104, P42, DOI 10.1016/j.agsy.2010.09.004 ETC Group, 2008, WHO OWNS NAT CORP PO Evenson RE, 2003, SCIENCE, V300, P758, DOI 10.1126/science.1078710 Ewel JJ, 1999, AGROFOREST SYST, V45, P1, DOI 10.1023/A:1006219721151 Febles-Gonzalez JM, 2011, LAND USE POLICY, V28, P723, DOI 10.1016/j.landusepol.2010.12.008 Felix G., 2013, Farming Matters, V29, P30 Fitzgerald D. K., 2003, EVERY FARM FACTORY I Food Ethics Council, 2010, FOOD JUST REP FOOD F Francis C, 2003, J SUSTAIN AGR, V22, P99, DOI 10.1300/J064v22n02_07 Fraser N., 1998, TANNER LECT HUMAN VA, V19, P1 Fricker M., 2007, EPISTEMIC INJUSTICE Funes-Monzote F. R., 2009, Environment Development and Sustainability, V11, P765, DOI 10.1007/s10668-008-9142-7 Gebbers R, 2010, SCIENCE, V327, P828, DOI 10.1126/science.1183899 Gibbon P, 2014, J AGRAR CHANGE, V14, P94, DOI 10.1111/joac.12043 Gilbert PR, 2013, AGR HUM VALUES, V30, P101, DOI 10.1007/s10460-012-9380-z Glare T, 2012, TRENDS BIOTECHNOL, V30, P250, DOI 10.1016/j.tibtech.2012.01.003 Gliessman S, 2002, AGROECOLOGIA PROCESO Gliessman S. R., 2007, AGROECOLOGY ECOLOGY Gliessman S, 2013, AGROECOL SUST FOOD, V37, P19, DOI 10.1080/10440046.2012.736927 Gomberg P., 2007, MAKE OPPORTUNITY EQU De Molina MG, 2013, AGROECOL SUST FOOD, V37, P45, DOI 10.1080/10440046.2012.705810 Gupta A. K., 2010, INNOVATION DEV REPOR, P137 Harden NM, 2013, AGR HUM VALUES, V30, P525, DOI 10.1007/s10460-013-9429-7 Herren H. R., 2009, INT ASSESSMENT AGR K Herzog Lisa, 2013, INVENTING MARKET SMI Holt-Gimenez E, 2013, AGROECOL SUST FOOD, V37, P90, DOI 10.1080/10440046.2012.716388 Holt-Gimenez E, 2010, J PEASANT STUD, V37, P203, DOI 10.1080/03066150903499943 Iles A, 2012, ECOL SOC, V17, DOI 10.5751/ES-05041-170442 International Labour Organization, 2014, 201415 INT LAB ORG Jaffe J, 2006, AGR HUM VALUES, V23, P143, DOI 10.1007/s10460-005-6098-1 Jenkins J, 2005, HUMANURE HDB GUIDE C Kloppenburg J, 2010, J AGRAR CHANGE, V10, P367, DOI 10.1111/j.1471-0366.2010.00275.x Koohafkan P, 2012, INT J AGR SUSTAIN, V10, P61, DOI 10.1080/14735903.2011.610206 Lamine C, 2011, J RURAL STUD, V27, P209, DOI 10.1016/j.jrurstud.2011.02.001 Lenne J, 2000, OUTLOOK AGR, V29, P235, DOI 10.5367/000000000101293301 LERNER S, 1994, FUTURES, V26, P185, DOI 10.1016/0016-3287(94)90108-2 Limmer R. M., 2005, THESIS LUDWIG MAXIMI Lopez-Ridaura S, 2005, INT J SUST DEV WORLD, V12, P81, DOI 10.1080/13504500509469621 Lopez-Ridaura S, 2002, ECOLOGICAL INDICATOR, V2, P135, DOI DOI 10.1016/S1470-160X(02)00043-2 Louwaars N., 2007, THESIS WAGENINGEN U Louwaars N, 2013, QUEEN MARY STUD INTE, P252 Machin-Sosa B, 2010, REVOLUCION AGROECOLO Martin JF, 2010, ECOL ENG, V36, P839, DOI 10.1016/j.ecoleng.2010.04.001 Mazoyer M., 2006, HIST WORLD AGR NEOLI Mendez VE, 2013, AGROECOL SUST FOOD, V37, P3, DOI 10.1080/10440046.2012.736926 Rosset PM, 2011, J PEASANT STUD, V38, P161, DOI 10.1080/03066150.2010.538584 Morrison D., 2003, GREAT LAKES GEOGRAPH, V10, P21 Quezada MTM, 2011, ACTA BIOETH, V17, P95, DOI 10.4067/S1726-569X2011000100011 Murphy J. B., 1993, MORAL EC LABOR ARIST Nicholls C. I, 2011, AGROECOLOGIA, V6, P28 Nussbaum MC, 1997, FORDHAM LAW REV, V66, P273 Oxfam, 2004, MACH FIELDS WORK RIG Paarlberg R, 2010, FOREIGN POLICY, P80 Pacini GC, 2014, EXP AGR, V50, P376, DOI 10.1017/S0014479713000495 Patel R., 2010, REBELIONES ALIMENTAR Perfecto Ivette, 2009, NATURES MATRIX LINKI Place F., 2013, EVOLUTIONARY CHANGES Pogge T, 2012, J HUM DEV CAPABIL, V13, P537, DOI 10.1080/19452829.2012.703172 Popp J, 2013, AGRON SUSTAIN DEV, V33, P243, DOI 10.1007/s13593-012-0105-x Pretty J., 1999, ENV DEV SUSTAINABILI, V1, P253, DOI DOI 10.1023/A:1010039224868 Rashid S, 2013, AGR ECON-BLACKWELL, V44, P705, DOI 10.1111/agec.12083 Raynolds LT, 2014, AGR HUM VALUES, V31, P499, DOI 10.1007/s10460-014-9506-6 Reichholf J. H., 2008, STABILE UNGLEICHGEWI Reijntjes C., 1992, FARMING FUTURE INTRO Robeyns I., 2011, STANFORD ENCY PHILOS Roessler B, 2012, J POLIT PHILOS, V20, P71, DOI 10.1111/j.1467-9760.2011.00408.x Rossler B, 2007, RECOGNITION AND POWER: AXEL HONNETH AND THE TRADITION OF CRITICAL SOCIAL THEORY, P135, DOI 10.1017/CBO9780511498732.006 Rosset PM, 1997, SOC NATUR RESOUR, V10, P283, DOI 10.1080/08941929709381027 Sayer A, 2012, J HUM DEV CAPABIL, V13, P580, DOI 10.1080/19452829.2012.693069 Sayer A, 2009, RES PUBLICA, V15, P1, DOI 10.1007/s11158-008-9077-8 Schlett A., 2012, ARHIVELE TOTALITARIS, V1-2, P96 SCHWARTZ A, 1982, ETHICS, V92, P634, DOI 10.1086/292380 Sen A., 1981, POVERTY FAMINES ESSA Sennett R., 2008, CRAFTSMAN Seufert V, 2012, NATURE, V485, P229, DOI 10.1038/nature11069 Guzman ES, 2013, AGROECOL SUST FOOD, V37, P32, DOI 10.1080/10440046.2012.695763 Shreck A, 2006, AGR HUM VALUES, V23, P439, DOI 10.1007/s10460-006-9016-2 Simon H. A., 2001, WHATS WRONG FREE LUN, P34 Smith NH, 2009, EUR J POLIT THEORY, V8, P46, DOI 10.1177/1474885108096959 Speelman E. N., 2014, THESIS WAGENINGEN U Staver C., 2001, AGROFORESTERIA AM, V8, P30 Taylor F., 1998, PRINCIPLES SCI MANAG Thrupp L. A., 1989, Agriculture and Human Values, V6, P13, DOI 10.1007/BF02217665 Timmermann Cristian, 2014, Life Sci Soc Policy, V10, P8, DOI 10.1186/s40504-014-0008-5 Timmermann C, 2014, SCI ENG ETHICS, V20, P111, DOI 10.1007/s11948-013-9438-3 Tittonell P., 2013, FARMING SYSTEMS ECOL Tittonell P, 2014, AGR SYST, V126, P3, DOI 10.1016/j.agsy.2013.10.010 Tomich TP, 2011, ANNU REV ENV RESOUR, V36, P193, DOI 10.1146/annurev-environ-012110-121302 van der Ploeg JD, 2010, J PEASANT STUD, V37, P1, DOI 10.1080/03066150903498721 van Ginkel M, 2013, FOOD SECUR, V5, P751, DOI 10.1007/s12571-013-0305-5 Van Parijs P., 1997, REAL FREEDOM ALL WHA Vandermeer J, 2013, AGROECOL SUST FOOD, V37, P76, DOI 10.1080/10440046.2012.717904 Vanloqueren G, 2009, RES POLICY, V38, P971, DOI 10.1016/j.respol.2009.02.008 VANPARIJS P, 1991, PHILOS PUBLIC AFF, V20, P101 WALSH AJ, 1994, SOUTHERN J PHILOS, V32, P233, DOI 10.1111/j.2041-6962.1994.tb00713.x Wezel A, 2009, AGRON SUSTAIN DEV, V29, P503, DOI 10.1051/agro/2009004 Wezel A, 2009, INT J AGR SUSTAIN, V7, P3, DOI 10.3763/ijas.2009.0400 WOOD S, 1987, ACTA SOCIOL, V30, P3, DOI 10.1177/000169938703000101 Yeoman R, 2014, J BUS ETHICS, V125, P235, DOI 10.1007/s10551-013-1894-9 Zhou Z, 2013, ENVIRON RES LETT, V8, DOI 10.1088/1748-9326/8/4/044025 NR 127 TC 19 Z9 19 U1 1 U2 55 PU SPRINGER PI DORDRECHT PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS SN 0889-048X EI 1572-8366 J9 AGR HUM VALUES JI Agric. Human Values PD SEP PY 2015 VL 32 IS 3 BP 523 EP 538 DI 10.1007/s10460-014-9581-8 PG 16 WC Agriculture, Multidisciplinary; History & Philosophy Of Science; Sociology SC Agriculture; History & Philosophy of Science; Sociology GA CO4VS UT WOS:000359159600011 DA 2019-04-09 ER PT J AU Lee, YJ AF Lee, Yung-Jaan TI Land, carbon and water footprints in Taiwan SO ENVIRONMENTAL IMPACT ASSESSMENT REVIEW LA English DT Article DE Ecological footprint; Land footprint; Carbon footprint; Water footprint ID ECOLOGICAL FOOTPRINT; URBAN; ACCOUNTS; CITIES; ENERGY; TRADE AB The consumer responsibility approach uses footprints as indicators of the total direct and indirect effects of a product or consumption activity. This study used a time-series analysis of three environmental pressures to quantify the total environmental pressures caused by consumption in Taiwan: land footprint, carbon footprint, and water footprint. Land footprint is the pressure from appropriation of biologically productive land and water area. Carbon footprint is the pressure from greenhouse gas emissions. Water footprint is the pressure from freshwater consumption. Conventional carbon footprint is the total CO2 emitted by a certain activity or the CO2 accumulation during a product life cycle. This definition cannot be used to convert CO2 emissions into land units. This study responds to the needs of "CO2 land" in the footprint family by applying the carbon footprint concept used by GFN. The analytical results showed that consumption by the average Taiwan citizen in 2000 required appropriation of 539 gha (hectares of land with global-average biological productivity) and 3.63 gha in 2011 in terms of land footprint. The average Taiwan citizen had a carbon footprint of 3.95 gha in 2000 and 5.94 gha in 2011. These results indicate that separately analyzing the land and carbon footprints enables their trends to be compared and appropriate policies and strategies for different sectors to be proposed accordingly. The average Taiwan citizen had a blue water footprint of 801 m(3) in 2000 and 784 m(3) in 2011. By comparison, their respective global averages were 123 gha, 236 gha and 163 m(3) blue water in 2011, respectively. Overall, Taiwan revealed higher environmental pressures compared to the rest of the world, demonstrating that Taiwa'n has become a high footprint state and has appropriated environmental resources from other countries. That is, through its imports of products with embodied pressures and its exports, Taiwan has transferred the environmental pressures from consuming goods and services to other parts of the world, which is an environmental injustice. This study examines the time series trend of land, carbon, and water footprints in Taiwan. However, if these analyses can be downscaled to city/county levels, they will be more useful for examining different sustainability performance of local governments in different regions. (C) 2015 Elsevier Inc. All rights reserved. C1 [Lee, Yung-Jaan] Chung Hua Inst Econ Res, Chunghua, Taiwan. RP Lee, YJ (reprint author), 75 Chang Hsing St, Taipei 106, Taiwan. EM yungjaanlee@gmail.com FU National Science Council of the Republic of China, Taiwan [NSC 102-2410-H-170-005-SS2] FX The author would like to thank the National Science Council of the Republic of China, Taiwan for financially supporting this research under Contract No. NSC 102-2410-H-170-005-SS2. Ted Knoy is appreciated for his editorial assistance. CR Barnosky AD, 2012, NATURE, V486, P52, DOI 10.1038/nature11018 Barrett J, 2003, ECOLOGICAL FOOTPRINT Borucke M, 2013, ECOL INDIC, V24, P518, DOI 10.1016/j.ecolind.2012.08.005 Bruckner M., 2012, TURKEYS VIRTUAL LAND Chapagain A.K., 2004, VALUE WATER RES REPO Chapagain AM, 2011, ECOL ECON, V70, P749, DOI 10.1016/j.ecolecon.2010.11.012 Chavez A, 2013, ENERG POLICY, V54, P376, DOI 10.1016/j.enpol.2012.10.037 Ewing B., 2009, ECOLOGICAL FOOTPRINT Ewing B., 2010, CALCULATION METHODOL Ewing B., 2010, ECOLOGICAL FOOTPRINT Ewing B., 2008, ECOLOGICAL FOOTPRINT Fang K, 2014, ECOL INDIC, V36, P508, DOI 10.1016/j.ecolind.2013.08.017 FAO, 2012, FAO STAT YB 2012 FAO, 2012, STAT WORLD FISH AQ 2 FAO, 2014, TECHN CONV FACT AGR Food andAgricultureOrganizationoftheUnitedNations(FAO), 2013, FAO STAT YB 2013 Galli A., 2011, INTEGRATING ECOLOGIC Galli A, 2012, ECOL INDIC, V16, P100, DOI 10.1016/j.ecolind.2011.06.017 GEN, 2006, EC FOOTPR BIOC Giljum S., 2013, LAND FOOTPRINT SCENA Gleeson T, 2012, NATURE, V488, P197, DOI 10.1038/nature11295 Global Footprint Network (GFN), 2012, NAT FOOTPR ACC Hertwich EG, 2009, ENVIRON SCI TECHNOL, V43, P6414, DOI 10.1021/es803496a Hoekstra A.Y, 2011, WATER FOOTPRINT ASSE Hoekstra AY, 2012, P NATL ACAD SCI USA, V109, P3232, DOI 10.1073/pnas.1109936109 Hoekstra AY, 2013, WATER FOOTPRINT MODE IGBP/IOC/SCOR (International Geosphere-Biosphere Programme Intergovernmental Oceanographic Commission and Scientific Committee on Ocean Research), 2013, OC AC SUMM POL 3 S O Jha Abhas, 2013, BUILDING URBAN RESIL Jones CM, 2011, ENVIRON SCI TECHNOL, V45, P4088, DOI 10.1021/es102221h Lammers A, 2008, LAND USE POLICY, V25, P53, DOI 10.1016/j.landusepol.2007.02.004 Larsen HN, 2010, ECOL ECON, V70, P60, DOI 10.1016/j.ecolecon.2010.05.001 lEA, 2002, KEY WORLD EN STAT Lee YJ, 2014, SUSTAINABILITY-BASEL, V6, P6170, DOI 10.3390/su6096170 Lenzen M, 2006, INT J LIFE CYCLE ASS, V11, P189, DOI 10.1065/lca2005.04.201 McDonald RI, 2014, GLOBAL ENVIRON CHANG, V27, P96, DOI 10.1016/j.gloenvcha.2014.04.022 Mezosi G, 2014, INT J DISAST RISK SC, V5, P136, DOI 10.1007/s13753-014-0016-3 Niccolucci V, 2012, ECOL INDIC, V16, P23, DOI 10.1016/j.ecolind.2011.09.002 Peters G. P., 2011, NATURE CLIMATE CHANG, V2, P2, DOI DOI 10.1038/NCLIMATE1332 Peters GP, 2011, P NATL ACAD SCI USA, V108, P8903, DOI 10.1073/pnas.1006388108 Ramaswami A, 2012, J IND ECOL, V16, P783, DOI 10.1111/j.1530-9290.2012.00569.x Martin-Cejas RR, 2010, TOURISM MANAGE, V31, P98, DOI 10.1016/j.tourman.2009.01.007 Ridoutt BG, 2010, GLOBAL ENVIRON CHANG, V20, P113, DOI 10.1016/j.gloenvcha.2009.08.003 Shahid S. A., 2014, VULNERABILITY AGR WA, P15 Smil Vaclav, 2012, HARVESTING BIOSPHERE Steen-Olsen K, 2012, ENVIRON SCI TECHNOL, V46, P10883, DOI 10.1021/es301949t Taiwan EPA, 2014, CURR STAT KITCH WAST The Royal Society, 2014, 0214 ROYAL SOC Vackar D, 2012, ECOL INDIC, V16, P40, DOI 10.1016/j.ecolind.2011.08.008 Wackemagel M., 1996, OUR ECOLOGICAL FOOTP Wackernagel M., 2005, NATL FOOTPRINT BIOCA Wackernagel M, 2014, J IND ECOL, V18, P20, DOI 10.1111/jiec.12094 Wada Y, 2012, WATER RESOUR RES, V48, DOI 10.1029/2011WR010562 Wang BC, 2012, COMPUT ENVIRON URBAN, V36, P342, DOI 10.1016/j.compenvurbsys.2011.12.004 Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 WFN, 2014, WAT FOOTPR INTR Wiebe KS, 2012, J IND ECOL, V16, P636, DOI 10.1111/j.1530-9290.2012.00504.x Wiedmann T., 2008, ECOLOGICAL EC RES TR, V1, P1, DOI DOI 10.1088/978-0-750-31040-6 World Economic Forum, 2014, CLIM AD SEIZ CHALL Xu M, 2011, ENERG POLICY, V39, P7381, DOI 10.1016/j.enpol.2011.08.068 Yeao P. H., 2013, J CHIN AGR ENG, V59, P1 Zhou P, 2009, ENVIRON EARTH SCI, V59, P529, DOI 10.1007/s12665-009-0050-4 NR 61 TC 10 Z9 11 U1 2 U2 36 PU ELSEVIER SCIENCE INC PI NEW YORK PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA SN 0195-9255 EI 1873-6432 J9 ENVIRON IMPACT ASSES JI Environ. Impact Assess. Rev. PD SEP PY 2015 VL 54 BP 1 EP 8 DI 10.1016/j.eiar.2015.04.004 PG 8 WC Environmental Studies SC Environmental Sciences & Ecology GA CO9MP UT WOS:000359500200001 DA 2019-04-09 ER PT J AU Oikawa, PY Jenerette, GD Grantz, DA AF Oikawa, Patricia Y. Jenerette, G. Darrel Grantz, David A. TI Offsetting high water demands with high productivity: Sorghum as a biofuel crop in a high irradiance arid ecosystem SO GLOBAL CHANGE BIOLOGY BIOENERGY LA English DT Article DE biofuel; biomass water ratio; eddy covariance; radiation use efficiency; Sorghum bicolor; water use efficiency ID USE EFFICIENCY; SWEET SORGHUM; BIOENERGY CROPS; CARBON; TEMPERATURE; EXCHANGE; CANOPY; ENERGY; SOIL; RESPIRATION AB High irradiance arid environments are promising, yet understudied, areas for biofuel production. We investigated the productivity and environmental trade-offs of growing sorghum (Sorghum bicolor) as a biofuel feedstock in the low deserts of California (CA). Using a 5.3ha experimental field in the Imperial Valley, CA, we measured aboveground biomass production and net ecosystem exchange of CO2 and H2O via eddy covariance over three growing periods between February and November 2012. Environmental conditions were extreme, with high irradiance, vapor pressure deficit (VPD), and air temperature throughout the growing season. Air temperature peaked in August with a maximum of 45.7 degrees C. Sorghum produced an annual aboveground biomass yield of 43.7Mg per hectare. Net ecosystem exchange (NEE) was highest during the summer growth period and reached a maximum of -68mol CO(2)m(-2)s(-1). Water use efficiency, or biomass water ratio (BWR), was high (4.0g dry biomasskg(-1) H2O) despite high seasonal evapotranspiration (1094kg H(2)Om(-2)). The BWR of sorghum surpassed that of many C4 biofuel candidate crops in the United States, as well as that of alfalfa which is currently widely grown in the Imperial Valley. Sorghum also outperformed many US biofuel crops in terms of radiation use efficiency (RUE), achieving 1.5g dry biomassMJ(-1). We found no evidence of saturation of NEE at high levels of photosynthetically active radiation (PAR) (up to 2250molm(-2)s(-1)). In addition, we found no evidence that NEE was inhibited by either high VPD or air temperature during peak photosynthetic phases. The combination of high productivity, high BWR, and high RUE suggests that sorghum is well adapted to this extreme environment. The biomass production rates and efficiency metrics spanning three growing periods provide fundamental data for future Life Cycle Assessments (LCA), which are needed to assess the sustainability of this sorghum biofuel feedstock system. C1 [Oikawa, Patricia Y.] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94702 USA. [Jenerette, G. Darrel; Grantz, David A.] Univ Calif Riverside, Dept Bot & Plant Sci, Riverside, CA 92521 USA. RP Oikawa, PY (reprint author), Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94702 USA. EM patty.oikawa@gmail.com FU USDA-NIFA [2011-67009-30045]; U.C. Riverside FX The authors are grateful to F. Miramontes and F. Maciel and the staff of the University of California Desert Research and Extension Center for much skillful assistance, to K. Kitajima for technical advice, and to Lindy Allsman and many dedicated undergraduate field assistants. We also thank R. Scott, C. Fertitta, and anonymous reviewers for helpful suggestions on early versions of this manuscript. We thank Coby Kriegshauser at Scott Seed Co. for providing seed for these experiments. This work was supported by the USDA-NIFA Award No. 2011-67009-30045, and by U.C. Riverside. CR Archontoulis SV, 2012, J EXP BOT, V63, P895, DOI 10.1093/jxb/err321 BALDOCCHI DD, 1988, ECOLOGY, V69, P1331, DOI 10.2307/1941631 Bazdarich M, 2001, EC FEASIBILITY SUGAR BEALE CV, 1995, PLANT CELL ENVIRON, V18, P641, DOI 10.1111/j.1365-3040.1995.tb00565.x Bull TA, 2000, MANUAL CANE GROWING, P71 Cabral OMR, 2012, GCB BIOENERGY, V4, P555, DOI 10.1111/j.1757-1707.2011.01155.x Chandel AK, 2010, J COMMERCIAL BIOTECH, V16, P239, DOI DOI 10.1057/JCB.2010.5 Curt MD, 1998, BIOMASS BIOENERG, V14, P169, DOI 10.1016/S0961-9534(97)10025-3 Davis SC, 2012, FRONT ECOL ENVIRON, V10, P69, DOI 10.1890/110003 de Vries SC, 2010, BIOMASS BIOENERG, V34, P588, DOI 10.1016/j.biombioe.2010.01.001 Dohleman FG, 2009, PLANT PHYSIOL, V150, P2104, DOI 10.1104/pp.109.139162 Gouvea JRF, 2009, SCI AGR, V66, P593, DOI 10.1590/S0103-90162009000500003 Foken T, 2008, MICROMETEOROLOGY Gelfand I, 2013, NATURE, V493, P514, DOI 10.1038/nature11811 Gerbens-Leenes W, 2009, P NATL ACAD SCI USA, V106, P10219, DOI 10.1073/pnas.0812619106 Gleick PH, 2010, P NATL ACAD SCI USA, V107, P21300, DOI 10.1073/pnas.1005473107 Goulden ML, 2004, ECOL APPL, V14, pS42 Han KJ, 2012, AGRON J, V104, P1618, DOI 10.2134/agronj2012.0213 Hickman GC, 2010, GCB BIOENERGY, V2, P157, DOI 10.1111/j.1757-1707.2010.01050.x Hollinger SE, 2005, AGR FOREST METEOROL, V130, P59, DOI 10.1016/j.agrformet.2005.01.005 Hsieh CI, 2000, ADV WATER RESOUR, V23, P765, DOI 10.1016/S0309-1708(99)00042-1 Huxman TE, 2003, OECOLOGIA, V134, P537, DOI 10.1007/s00442-002-1131-1 I. B. G. E, 2013, SYST SURV AGR PROD L Jackson RB, 2005, SCIENCE, V310, P1944, DOI 10.1126/science.1119282 Kaffka SR, 2009, CALIF AGR, V63, P202, DOI 10.3733/ca.v063n04p202 Lund C., 2008, Bulletin of Science, Technology and Society, V28, P200, DOI 10.1177/0270467608315920 Marin FR, 2008, PESQUI AGROPECU BRAS, V43, P1449, DOI 10.1590/S0100-204X2008001100002 Mastrorilli M, 1999, EUR J AGRON, V11, P207, DOI 10.1016/S1161-0301(99)00032-5 Mauder M, 2006, METEOROL Z, V15, P597, DOI 10.1127/0941-2948/2006/0167 MONTEITH JL, 1993, IRRIGATION SCI, V14, P85 MONTEITH JL, 1977, PHILOS T ROY SOC B, V281, P277, DOI 10.1098/rstb.1977.0140 Mussatto SI, 2010, BIOTECHNOL ADV, V28, P817, DOI 10.1016/j.biotechadv.2010.07.001 Nobel P.S., 1974, INTRO BIOPHYSICAL PL Otto R, 2013, BIOL FERT SOILS, V49, P893, DOI 10.1007/s00374-013-0787-5 Rao PS, 2013, SUGAR TECH, V15, P278, DOI 10.1007/s12355-013-0231-z RAUPACH MR, 1994, BOUND-LAY METEOROL, V71, P211, DOI 10.1007/BF00709229 Reichstein M, 2005, GLOBAL CHANGE BIOL, V11, P1424, DOI 10.1111/j.1365-2486.2005.001002.x RFA, 2010, REN FUEL STAND Rooney WL, 2007, BIOFUEL BIOPROD BIOR, V1, P147, DOI 10.1002/bbb.15 Sanden B, 2011, W ALF FOR C Schmer MR, 2008, P NATL ACAD SCI USA, V105, P464, DOI 10.1073/pnas.0704767105 SCHOTANUS P, 1983, BOUND-LAY METEOROL, V26, P81, DOI 10.1007/BF00164332 Shoemaker CE, 2010, SUSTAINABLE ALTERNAT, P149 Shurpali NJ, 2009, GCB BIOENERGY, V1, P35, DOI 10.1111/j.1757-1707.2009.01003.x Singh MP, 2012, BIOMASS BIOENERG, V47, P1, DOI 10.1016/j.biombioe.2012.10.022 STANHILL G, 1986, ADV AGRON, V39, P53, DOI 10.1016/S0065-2113(08)60465-4 VanLoocke A, 2012, AGR FOREST METEOROL, V164, P82, DOI 10.1016/j.agrformet.2012.05.016 Vickers D, 1997, J ATMOS OCEAN TECH, V14, P512, DOI 10.1175/1520-0426(1997)014<0512:QCAFSP>2.0.CO;2 WEBB EK, 1980, Q J ROY METEOR SOC, V106, P85, DOI 10.1002/qj.49710644707 Xie T, 2012, RUSS J PLANT PHYSL+, V59, P224, DOI 10.1134/S1021443712020197 Zegada-Lizarazu W, 2012, BIOMASS BIOENERG, V40, P1, DOI 10.1016/j.biombioe.2012.01.048 Zeri M, 2013, J GEOPHYS RES-BIOGEO, V118, P581, DOI 10.1002/jgrg.20052 Zeri M, 2011, AGR ECOSYST ENVIRON, V144, P319, DOI 10.1016/j.agee.2011.09.006 NR 53 TC 13 Z9 13 U1 0 U2 43 PU WILEY PI HOBOKEN PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA SN 1757-1693 EI 1757-1707 J9 GCB BIOENERGY JI GCB Bioenergy PD SEP PY 2015 VL 7 IS 5 BP 974 EP 983 DI 10.1111/gcbb.12190 PG 10 WC Agronomy; Biotechnology & Applied Microbiology; Energy & Fuels SC Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels GA CO7ZU UT WOS:000359384500005 OA Bronze DA 2019-04-09 ER PT J AU Passer, A Lasvaux, S Allacker, K De Lathauwer, D Spirinckx, C Wittstock, B Kellenberger, D Gschosser, F Wall, J Wallbaum, H AF Passer, Alexander Lasvaux, Sebastien Allacker, Karen De Lathauwer, Dieter Spirinckx, Carolin Wittstock, Bastian Kellenberger, Daniel Gschoesser, Florian Wall, Johannes Wallbaum, Holger TI Environmental product declarations entering the building sector: critical reflections based on 5 to 10 years experience in different European countries SO INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT LA English DT Article DE Building certification; Environmental product declaration (EPD); Life cycle assessment (LCA); Product environmental footprint (PEF) ID RESIDENTIAL BUILDINGS; CONSTRUCTION SECTOR; ASSESSMENT TOOLS; CATEGORY RULES; PERFORMANCE; ALIGNMENT; PROGRAMS AB Growing awareness of the environmental performance of construction products and buildings brings about the need for a suitable method to assess their environmental performance. Life cycle assessment (LCA) has become a widely recognised and accepted method to assess the burdens and impacts throughout the life cycle. This LCA-based information may be in the form of environmental product declarations (EPD) or product environmental footprints (PEF), based on reliable and verifiable information. All of these use LCA to quantify and report several environmental impact categories and may also provide additional information. To better understand on the one hand existing EPD programmes (EN 15804) for each country and on the other the recent developments in terms of EU reference document (e.g. PEF), the authors decided to write this review paper based on the outcomes of the EPD workshop that was held prior to SB13 Graz conference. This paper presents the state of the art in LCA and an overview of the EPD programmes in five European countries (Austria, Belgium, France, Germany, Switzerland) based on the workshop in the first part and a comprehensive description and comparison of the PEF method and EN 15804 in the second part. In the last part, a general conclusion will wrap up the findings and results will provide a further outlook on future activities. The high number of EPD programmes underlines the fact that there is obviously a demand for assessments of the environmental performance of construction materials. In the comparison between and experiences of the different countries, it can be seen that more similarities than differences exist. A comparison between PEF and EPD shows differences, e.g. LCIA impact categories and recycling methodology. Independent of raising awareness of the construction material environmental performance, the existence of so many environmental claims calls for clarification and harmonisation. Additionally, construction materials being assessed in the voluntary approaches have to follow the harmonised approach following the principles of the European Construction Products Regulation (regulated) not to foster barriers of trade. The authors therefore highly appreciate the most recent activities of the sustainability of construction works (CEN/TC 350 committee Http://portailgroupe.afnor.fr/public_espacenormalisation/CENTC350/index.html) currently working on these issues at the EU level. Finally, the LCA community is further encouraged to increase the background life cycle inventory data and life cycle inventory modelling as well as the meaningfulness of certain environmental impact categories, such as toxicity, land use, biodiversity and resource usage. C1 [Passer, Alexander; Wall, Johannes] Graz Univ Technol, Inst Technol & Testing Bldg Mat, A-8010 Graz, Austria. [Lasvaux, Sebastien] Univ Paris East, Sci & Tech Ctr Bldg CSTB, Environm & Life Cycle Engn Div, F-38400 St Martin Dheres, France. [Lasvaux, Sebastien] Univ Appl Sci Western Switzerland HES SO, Lab Solar Energet & Bldg Phys LESBAT, Ctr St Roch, CH-1401 Yverdon, Switzerland. [Allacker, Karen] European Commiss Directorate Gen, Joint Res Ctr, Inst Environm & Sustainabil, Ispra, Italy. [De Lathauwer, Dieter] Fed Publ Serv Hlth, Prod Policy & Chem Subst, Food Chain Safety & Environm, B-1060 Brussels, Belgium. [Spirinckx, Carolin] VITO NV, Unit Smart Energy & Built Environm, B-2400 Mol, Belgium. [Wittstock, Bastian] Fraunhofer Inst Bldg Phys IBP, D-70563 Stuttgart, Germany. [Kellenberger, Daniel] Intep Integrale Planung GmbH, CH-8008 Zurich, Switzerland. [Gschoesser, Florian] Univ Innsbruck, A-6020 Innsbruck, Austria. [Wallbaum, Holger] Chalmers Univ Technol, S-41296 Gothenburg, Sweden. RP Passer, A (reprint author), Graz Univ Technol, Inst Technol & Testing Bldg Mat, Inffeldgasse 24, A-8010 Graz, Austria. EM alexander.passer@tugraz.at OI Passer, Alexander/0000-0001-8773-8507 FU Graz University of Technology [Graz SB13] FX The authors would like to extend their thanks to Graz University of Technology for all its financial support on the occasion of the Sustainable Building Conference (Graz SB13) and especially to the organisation team for providing the logistics and a suitable location for the international EPD workshop. In addition to the authors, the following persons whom we would like to thank for their presentations participated in the workshop are Peter Maydl (Graz University of Technology), Gernot Brandweiner (Verband Osterreichischer Beton- und Fertigteilwerke/AT) and Rainer Mikulits (Austrian Institute of Construction Engineering/AT). We would also like to thank Guillaume Habert from ETH Zurich/CH and two anonymous reviewers for providing feedback on improving the paper. CR AFNOR, 2004, P01010 AFNOR NF AFNOR, 2014, C081001 AFNOR XP AFNOR, 2014, P01064CN AFNOR XP AFNOR, 2014, PROGR ENV HLTH DECL Allacker K, 2012, INT J LIFE CYCLE ASS, V17, P813, DOI 10.1007/s11367-012-0402-2 [Anonymous], 2007, 21930 ISO Baitz M, 2013, INT J LIFE CYCLE ASS, V18, P5, DOI 10.1007/s11367-012-0476-x Braune A, 2011, LIF CYCL MAN C BSI, 2011, 2050 BSI PAS CEN, 2014, 14025 CEN ON ISO CEN, 2009, 15941 CEN TR CEN, 2013, 15804A1 CEN ONORM CEN, 2010, 156431 CEN ONORM Del Borghi A, 2013, INT J LIFE CYCLE ASS, V18, P293, DOI 10.1007/s11367-012-0513-9 Earls A, 2013, STAND NEWS, V41, P20 EC, 2013, OFF J EUR UNION L, VL 124, P216 Frischknecht R, 2009, METHODE OKOLOGISCHEN Frischknecht R, 2015, INT J LIFE CYCLE ASS, V20, P421, DOI 10.1007/s11367-015-0856-0 Haapio A, 2008, ENVIRON IMPACT ASSES, V28, P469, DOI 10.1016/j.eiar.2008.01.002 HQE, 2014, PROJ CONSTR HQE PERF Hunsager EA, 2014, INT J LIFE CYCLE ASS, V19, P786, DOI 10.1007/s11367-014-0711-8 Ingwersen W, 2011, INT J LIFE CYCLE ASS, V17, P258 Ingwersen WW, 2014, INT J LIFE CYCLE ASS, V19, P532, DOI 10.1007/s11367-013-0659-0 Ingwersen WW, 2012, J CLEAN PROD, V24, P102, DOI 10.1016/j.jclepro.2011.10.040 ISO, 2012, 14067 ISO JORF, 2013, J OFFICIEL REPUBLIQU Lasvaux S., 2015, INT J LIFE CYCLE ASS Lasvaux S, 2014, INT J LIFE CYCLE ASS, V19, P1783, DOI 10.1007/s11367-014-0786-2 Lasvaux S, 2014, INT J LIFE CYCLE ASS, V19, P463, DOI 10.1007/s11367-013-0682-1 Lesage P, 2013, LCM2013 INT C GOTH A METL, 2014, SIT REGL DECL ENV PR Modahl IS, 2013, INT J LIFE CYCLE ASS, V18, P241, DOI 10.1007/s11367-012-0449-0 Nemry F, 2010, ENERG BUILDINGS, V42, P976, DOI 10.1016/j.enbuild.2010.01.009 Passer A, 2015, INT J LIFE CYCLE ASS, V20, P1, DOI 10.1007/s11367-014-0820-4 Passer A, 2012, INT J LIFE CYCLE ASS, V17, P1116, DOI 10.1007/s11367-012-0435-6 Pelletier N, 2014, INT J LIFE CYCLE ASS, V19, P387, DOI 10.1007/s11367-013-0609-x Subramanian V, 2012, INT J LIFE CYCLE ASS, V17, P892, DOI 10.1007/s11367-012-0419-6 Wallhagen M., 2013, FRAMEWORK DETAILED C, P39, DOI [DOI 10.3390/BUILDINGS3010039, 10.3390/buildings3010039] Wallhagen M, 2011, BUILD RES INF, V39, P16, DOI 10.1080/09613218.2010.513210 WSB14, 2014, WORLD SB14 BARC C OC NR 40 TC 21 Z9 21 U1 0 U2 28 PU SPRINGER HEIDELBERG PI HEIDELBERG PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY SN 0948-3349 EI 1614-7502 J9 INT J LIFE CYCLE ASS JI Int. J. Life Cycle Assess. PD SEP PY 2015 VL 20 IS 9 BP 1199 EP 1212 DI 10.1007/s11367-015-0926-3 PG 14 WC Engineering, Environmental; Environmental Sciences SC Engineering; Environmental Sciences & Ecology GA CP2WU UT WOS:000359739200001 OA Green Published, Bronze DA 2019-04-09 ER PT J AU O'Sullivan, L Creamer, RE Fealy, R Lanigan, G Simo, I Fenton, O Carfrae, J Schulte, RPO AF O'Sullivan, L. Creamer, R. E. Fealy, R. Lanigan, G. Simo, I. Fenton, O. Carfrae, J. Schulte, R. P. O. TI Functional Land Management for managing soil functions: A case-study of the trade-off between primary productivity and carbon storage in response to the intervention of drainage systems in Ireland SO LAND USE POLICY LA English DT Article DE Functional Land Management; Soil functions; Food security and environmental sustainability; Carbon price; Land drainage; GIS and policy frameworks ID CLAY LOAM SOIL; ECOSYSTEM SERVICES; ORGANIC-CARBON; MOISTURE CONDITIONS; GAS EMISSIONS; GRASSLAND; WATER; EUROPE; IMPLEMENTATION; AGRICULTURE AB Globally, there is growing demand for increased agricultural outputs. At the same time, the agricultural industry is expected to meet increasingly stringent environmental targets. Thus, there is an urgent pressure on the soil resource to deliver multiple functions simultaneously. The Functional Land Management framework (Schulte et al., 2014) is a conceptual tool designed to support policy making to manage soil functions to meet these multiple demands. This paper provides a first example of a practical application of the Functional Land Management concept relevant to policy stakeholders. In this study we examine the trade-offs, between the soil functions 'primary productivity' and 'carbon cycling and storage', in response to the intervention of land drainage systems applied to 'imperfectly' and 'poorly' draining managed grasslands in Ireland. These trade-offs are explored as a function of the nominal price of 'Certified Emission Reductions' or 'carbon credits'. Also, these trade-offs are characterised spatially using ArcGIS to account for spatial variability in the supply of soil functions. To manage soil functions, it is essential to understand how individual soil functions are prioritised by those that are responsible for the supply of soil functions - generally farmers and foresters, and those who frame demand for soil functions - policy makers. Here, in relation to these two soil functions, a gap exists in relation to this prioritisation between these two stakeholder groups. Currently, the prioritisation and incentivisation of these competing soil functions is primarily a function of CO2 price. At current CO2 prices, the agronomic benefits outweigh the monetised environmental costs. The value of CO2 loss would only exceed productivity gains at either higher CO2 prices or at a reduced discount period rate. Finally, this study shows large geographic variation in the environmental cost: agronomic benefit ratio. Therein, the Functional Land Management framework can support the development of policies that are more tailored to contrasting biophysical environments and are therefore more effective than 'blanket approaches' allowing more specific and effective prioritisation of contrasting soil functions. (C) 2015 The Authors. Published by Elsevier Ltd. C1 [O'Sullivan, L.] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland. [O'Sullivan, L.; Lanigan, G.; Fenton, O.] TEAGASC, Agr Catchments Programme, Johnstown Castle, Wexford, Ireland. [Creamer, R. E.; Simo, I.; Schulte, R. P. O.] TEAGASC, Crops Environm & Land Use Programme, Johnstown Castle, Wexford, Ireland. [Fealy, R.] TEAGASC, Rural Econ & Dev Programme, Dublin, Ireland. [Carfrae, J.] Scotlands Rural Coll, SRUC, Edinburgh, Midlothian, Scotland. RP Schulte, RPO (reprint author), TEAGASC, Crops Environm & Land Use Programme, Johnstown Castle, Wexford, Ireland. EM Rogier.Schulte@teagasc.ie RI Lanigan, Gary/C-6864-2012; Fenton, Owen/D-4377-2009; Fealy, Reamonn/D-4880-2013 OI Lanigan, Gary/0000-0003-0813-3097; Fenton, Owen/0000-0001-7119-2538; Fealy, Reamonn/0000-0003-4534-1530; Creamer, Rachel/0000-0003-3617-1357; O'Sullivan, Lilian/0000-0002-5333-5758; Simo, Iolanda/0000-0001-6619-5275 FU Department of Agriculture, Food and the Marine FX This project was faciliated by the Teagasc Agricultural Catchments Programme funded by the Department of Agriculture, Food and the Marine CR Abdalla M, 2013, SCI TOTAL ENVIRON, V465, P325, DOI 10.1016/j.scitotenv.2012.12.030 Abson DJ, 2014, ECOL ECON, V103, P29, DOI 10.1016/j.ecolecon.2014.04.012 [Anonymous], 2013, SERIES MOOREPARK ANI, V20 Benton T., 2011, WORLD AGR, V2, P14 Bosbeer S., 2012, FORESTS IN IRELAND Bouma J, 2014, J PLANT NUTR SOIL SC, V177, P111, DOI 10.1002/jpln.201300646 Bouma J, 2012, CURR OPIN ENV SUST, V4, P552, DOI 10.1016/j.cosust.2012.07.001 Burchill W, 2014, GLOBAL CHANGE BIOL, V20, P3137, DOI 10.1111/gcb.12595 Coyle C., APPL FUNCTIONA UNPUB Creamer R., 2014, NATL SOIL MAP IRELAN Creamer RE, 2010, SOIL USE MANAGE, V26, P198, DOI 10.1111/j.1475-2743.2010.00288.x Creamer R.E., 2014, TRESEARCH, P16 Creighton P, 2011, GRASS FORAGE SCI, V66, P251, DOI 10.1111/j.1365-2494.2011.00784.x Crosson P., 2013, TEAGASC MANUAL DRAIN DAFF (Department of Agriculture Fisheries and Food), 2010, FOOD HARV 2020 VIS I Department of Agriculture Forestry and the Marine (DAFM), 2013, 2 NAT FOR INV REP IR Dessureault-Rompre J, 2011, GEODERMA, V167-68, P214, DOI 10.1016/j.geoderma.2011.10.005 Dillon P, 1995, GRASS FORAGE SCI, V50, P286, DOI 10.1111/j.1365-2494.1995.tb02324.x DONNELLAN T., 2011, STUDY INT COMPETITIV EC, 2014, CLIM ACT FOR AGR EC, 2006, COM2006231 EC COMM E EC, 2014, CLIM ACT LULUCF EU EC Communication from the commission to the EUROPEAN Parliament The Council The European Economic and Social committee and the Committee of the Regions, 2014, POL FRAM CLIM EN PER European Council, 2014, CONCL 2030 CLIM EN P Farrelly P., 2014, ENV ANAL SCENARIOS R Foresight, 2011, FUT FOOD FARM FIN PR Franzluebbers AJ, 1999, APPL SOIL ECOL, V11, P91, DOI 10.1016/S0929-1393(98)00128-0 Godfray H.C.J., 2010, PHILOS T R SOC B Haygarth P.M., 2009, LAND USE POLICY, V26, P187 Humphreys J., 2011, FARMING SOGGY GROUND Jacinthe P.A., 2001, SOIL SCI, V166, P297 Jobbagy EG, 2000, ECOL APPL, V10, P423, DOI 10.1890/1051-0761(2000)010[0423:TVDOSO]2.0.CO;2 Kechavarzi C, 2010, GEODERMA, V154, P203, DOI 10.1016/j.geoderma.2009.02.018 Kinsella A., 2010, TRESEARCH, V5, P30 Lapple D, 2012, J DAIRY SCI, V95, P188, DOI 10.3168/jds.2011-4512 Li C., 2011, THE DNDC MODEL LI CS, 1992, J GEOPHYS RES-ATMOS, V97, P9759, DOI 10.1029/92JD00509 Li CS, 2000, NUTR CYCL AGROECOSYS, V58, P259, DOI 10.1023/A:1009859006242 Li DJ, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0026176 Mallon Technology, 2014, CUST DEP AGR FOOD MA McDonough M., 2010, OPERATION BIOENERGY Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING CU Moyano FE, 2013, SOIL BIOL BIOCHEM, V59, P72, DOI 10.1016/j.soilbio.2013.01.002 Mueller L., 2011, AGRON SUSTAIN DEV, V30, P601 Murphy P, 2013, ANIMAL, V7, P427, DOI 10.1017/S1751731113000906 National Parks and Wildlife Service (NPWS), 2014, PROT SIT Necpalova M, 2014, GRASS FORAGE SCI, V69, P611, DOI 10.1111/gfs.12080 O'Farrell PJ, 2010, CURR OPIN ENV SUST, V2, P59, DOI 10.1016/j.cosust.2010.02.005 O'Sullivan L., 2014, TRESEARCH, P34 OLoughlin J., 2012, TEAGASC HEAVY SOILS Poeplau C, 2013, GEODERMA, V192, P189, DOI 10.1016/j.geoderma.2012.08.003 Reuters Thomson, 2014, EU CARB PRIC AV 23 T Royal Society of Chemistry (RSC), 2012, SEC SOILS SUST AGR R Schulte R. P. O., 2006, Biology and Environment, V106B, P117, DOI 10.3318/BIOE.2006.106.2.117 Schulte RPO, 2012, SOIL USE MANAGE, V28, P580, DOI 10.1111/j.1475-2743.2012.00437.x Schulte R.P.O., IRISH J AGR IN PRESS Schulte RPO, 2014, ENVIRON SCI POLICY, V38, P45, DOI 10.1016/j.envsci.2013.10.002 Schulte RPO, 2005, IRISH J AGR FOOD RES, V44, P95 Shalloo L, 2004, GRASS FORAGE SCI, V59, P157, DOI 10.1111/j.1365-2494.2004.00415.x Shalloo L., 2009, ABATEMENT MEASURE IN SKAGGS RW, 1994, CRIT REV ENV SCI TEC, V24, P1, DOI 10.1080/10643389409388459 Teagasc, 2011, CARB AUD IR AGR BREI Teagasc, 2014, AGR IR Teagasc, 2011, IR AGR GREENH GAS EM Teagasc Tillage Crop Stakeholder Consultative Group (ITCSCG), 2012, TILL SECT DEV PLAN 2 Tuohy P., 2014, J AGR SCI, P1 Tuohy P, 2015, ACTA AGR SCAND B-S P, V65, P2, DOI 10.1080/09064710.2014.970664 U. S. EPA, 2004, UN CONV EM FACT OTH UK National Ecosystem Assessment (UK NEA), 2011, UK NAT EC ASS TECHN Van Orshoven J., 2013, DEFINITION SCI JUSTI Wild A, 2003, SOILS LAND FOOD MANA Willems AB, 2011, AGR ECOSYST ENVIRON, V144, P347, DOI 10.1016/j.agee.2011.10.001 NR 72 TC 25 Z9 25 U1 0 U2 52 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD SEP PY 2015 VL 47 BP 42 EP 54 DI 10.1016/j.landusepol.2015.03.007 PG 13 WC Environmental Studies SC Environmental Sciences & Ecology GA CN9YL UT WOS:000358807000004 OA Other Gold DA 2019-04-09 ER PT J AU Palacios-Agundez, I Onaindia, M Barraqueta, P Madariaga, I AF Palacios-Agundez, Igone Onaindia, Miren Barraqueta, Pilar Madariaga, Iosu TI Provisioning ecosystem services supply and demand: The role of landscape management to reinforce supply and promote synergies with other ecosystem services SO LAND USE POLICY LA English DT Article DE Ecosystem services; Scale mismatch; Ecological footprint; Land use policy; Basque Country ID FOOTPRINT TIME-SERIES; ECOLOGICAL FOOTPRINT; LAND-USE; NORTHERN SPAIN; ACCOUNTS; CONTRIBUTE; VALUATION; KNOWLEDGE; CAPACITY; WATER AB Currently, trade enables regions to have a higher provisioning ecosystem services (ES) demand than that provided by ecosystems in the same region. This practice leads to a supply and demand provisioning ES scale mismatch, which may affect the provision of other ES. To address such an issue from the sub-national scale, an ES approach implementation step to provide realistic, context-specific pathways toward sustainability is necessary. This paper provides a detailed quantitative assessment of ecosystem services over time in Biscay, Basque Country, Spain. The aim is to identify ways of balancing the local provisioning ecosystem service supply and demand and to enhance sustainable land use. We studied the ecological footprint evolution of the province for 11 years and its relation to ecosystem services. We determined that the replacement of the current forest plantations' monocultures to a multifunctional landscape reinforces food security and enhances biodiversity and essential ES. This place-based ecosystem services assessment, which integrates ecological footprint calculations into an ecosystem service framework, demonstrated that provisioning ES-scale mismatches may be confronted locally by implementing sustainable landscape management strategies, including actions focusing on the supply and demand of ES. The current globalised economy promotes a global reduction in ecosystem integrity and ecosystem services. Reducing the ecological footprint at the local scale would contribute to the reduction of provisioning ecosystem services' demand at the global scale. Thus, maximising a mosaic approach to land use locally would help improve the provision of ecosystem services and therefore also contribute to the global footprint reduction. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Palacios-Agundez, Igone; Onaindia, Miren; Madariaga, Iosu] Univ Basque Country, Plant Biol & Ecol Dept, Leioa 48940, Biscay, Spain. [Barraqueta, Pilar] Ekos, Environm Res & Consultancy, Amorebieta Etxano 48340, Biscay, Spain. [Madariaga, Iosu] Reg Govt Biscay, Dept Environm, Bilbao 48009, Bizkaia, Spain. RP Palacios-Agundez, I (reprint author), Univ Basque Country, Plant Biol & Ecol Dept, Campus Leioa,Barrio Sarriena S-N, Leioa 48940, Biscay, Spain. EM igone.palacios@ehu.es; miren.onaindia@ehu.es; ekos@ekos-eeco.com; iosu.madariaga@bizkaia.net RI Onaindia, Miren/L-7082-2014; Palacios-Agundez, Igone/L-5084-2014 OI Onaindia, Miren/0000-0003-1040-0131; Palacios-Agundez, Igone/0000-0001-9683-6977 FU Environment Department of the Regional Government of Biscay FX The authors gratefully acknowledge the Environment Department of the Regional Government of Biscay for funding the Millennium Ecosystem Assessment in Biscay-Basque Country research project, of which this article is a part of, and for providing data collection facilities, especially to X. Arana and M. Fernandez de Larrinoa. The authors also want to thank I. Arostegi and M. Elosegi for their help with the data collection. Special thanks go to every key stakeholder that collaborated in the data collection process. The authors thank the Global Footprint Network for all of the help. CR Aall C, 2005, LOCAL ENVIRON, V10, P159, DOI 10.1080/1354983052000330752 Amezaga I, 1997, ECOGRAPHY, V20, P308, DOI 10.1111/j.1600-0587.1997.tb00375.x Anton C, 2010, BIODIVERS CONSERV, V19, P2979, DOI 10.1007/s10531-010-9853-6 Bagliani M, 2008, J ENVIRON MANAGE, V86, P354, DOI 10.1016/j.jenvman.2006.04.015 Basque Government, 2013, FOR INV BASQ COUNTR Borucke M, 2013, ECOL INDIC, V24, P518, DOI 10.1016/j.ecolind.2012.08.005 Burkhard B, 2012, ECOL INDIC, V21, P17, DOI 10.1016/j.ecolind.2011.06.019 Carlsson-Kanyama A., 2009, AM J CLIN NUTR, V89, P1704, DOI DOI 10.3945/AJCN.2009.26736AA Casado-Arzuaga I., 2013, LANDSCAPE ECOL Casado-Arzuaga I, 2013, J ENVIRON MANAGE, V129, P33, DOI 10.1016/j.jenvman.2013.05.059 Collins A, 2006, J IND ECOL, V10, P9, DOI 10.1162/jiec.2006.10.3.9 Daily GC, 1997, SOC DEPENDENCE NATUR Davies A. R, 2014, COCREATING SUSTAINAB DeFries RS, 2012, BIOSCIENCE, V62, P603, DOI 10.1525/bio.2012.62.6.11 DFB: Regional Government of Biscay, 2013, WAST INF BISC HIST T Eustat: Basque Statistics Office, 2013, GROSS DOM PROD BASQ Fisher B, 2009, ECOL ECON, V68, P643, DOI 10.1016/j.ecolecon.2008.09.014 GFN (Global Footprint Network), 2014, NAT FOOTPR ACC 2014 GFN (Global Footprint Network), 2012, GLOSS Sal AG, 2007, AGR ECOSYST ENVIRON, V120, P82, DOI 10.1016/j.agee.2006.06.020 Gomez-Baggethun E, 2013, ECOL ECON, V86, P235, DOI 10.1016/j.ecolecon.2012.08.019 Gomez-Baggethun E, 2010, ISS ENVIRON SCI TECH, V30, P105, DOI 10.1039/9781849731058-00105 Gomez-Baggethun E, 2010, CONSERV BIOL, V24, P721, DOI 10.1111/j.1523-1739.2009.01401.x Groome H. J., 1990, HIST POLITICA FOREST Happaerts S, 2012, ENVIRON DEV, V4, P2, DOI 10.1016/j.envdev.2012.07.001 Jenerette GD, 2006, ECOL ECON, V59, P38, DOI 10.1016/j.ecolecon.2005.09.023 Johansson T, 2013, FOREST ECOL MANAG, V303, P98, DOI 10.1016/j.foreco.2013.04.012 Jorgenson AK, 2007, SOC SCI RES, V36, P834, DOI 10.1016/j.ssresearch.2006.06.003 Kastner T, 2014, ENVIRON RES LETT, V9, DOI 10.1088/1748-9326/9/3/034015 Kitzes J, 2009, ECOL ECON, V68, P1991, DOI 10.1016/j.ecolecon.2008.06.022 Kumar M, 2008, ECOL ECON, V64, P808, DOI 10.1016/j.ecolecon.2007.05.008 Lambin EF, 2011, P NATL ACAD SCI USA, V108, P3465, DOI 10.1073/pnas.1100480108 Leslie AD, 2012, APPL ENERG, V89, P176, DOI 10.1016/j.apenergy.2011.07.037 Madariaga I., 2011, REF FORUM SOSTENIBIL, V4, P33 McDonald R.I., 2009, J CONSERVAT PLANN, V5, P1 Merino A, 2004, FOREST ECOL MANAG, V196, P393, DOI 10.1016/j.foreco.2004.04.002 Millennium Ecosystem Assessment, 2005, EC HUM WELL BEING SY Monfreda C, 2004, LAND USE POLICY, V21, P231, DOI 10.1016/j.landusepol.2003.10.009 Mueller ND, 2012, NATURE, V490, P254, DOI 10.1038/nature11420 Onaindia M, 2015, NATURE HUMAN WELL BE Onaindia M, 2013, FOREST ECOL MANAG, V289, P1, DOI 10.1016/j.foreco.2012.10.010 Otero J, 2009, REV BIOL TROP, V57, P1183 Oteros-Rozas E, 2013, RANGELAND J, V35, P251, DOI 10.1071/RJ12092 Palacios-Agundez I, 2014, LANDSCAPE ECOL, V29, P1423, DOI 10.1007/s10980-014-9994-1 Perrings C., 2011, SCIENCE, V331, P17 Poppy GM, 2014, PHILOS T R SOC B, V369, DOI 10.1098/rstb.2012.0288 Potschin M, 2013, LANDSCAPE ECOL, V28, P1053, DOI 10.1007/s10980-012-9756-x Power AG, 2010, PHILOS T R SOC B, V365, P2959, DOI 10.1098/rstb.2010.0143 Redman CL, 1999, HUMAN IMPACT ANCIENT, P239 Rodriguez-Loinaz G, 2013, J ENVIRON MANAGE, V120, P18, DOI 10.1016/j.jenvman.2013.01.032 Santos T, 2006, BASIC APPL ECOL, V7, P483, DOI 10.1016/j.baae.2005.11.001 Seppelt R, 2011, J APPL ECOL, V48, P630, DOI 10.1111/j.1365-2664.2010.01952.x Smith P, 2013, GLOBAL CHANGE BIOL, V19, P2285, DOI 10.1111/gcb.12160 Toso EAV, 2014, EUR J OPER RES, V234, P839, DOI 10.1016/j.ejor.2013.10.035 Viglizzo EF, 2012, AGR ECOSYST ENVIRON, V154, P78, DOI 10.1016/j.agee.2011.07.007 Wackernagel M, 2004, LAND USE POLICY, V21, P271, DOI 10.1016/j.landusepol.2003.10.006 Wackernagel M, 2004, LAND USE POLICY, V21, P261, DOI 10.1016/j.landusepol.2003.10.007 Wackernagel M., 1996, OUR ECOLOGICAL FOOTP Wackernagel M., 2005, NATL FOOTPRINT BIOCA Weighell T., 2011, UK NATL ECOSYSTEM AS, P1045 Weinzettel J, 2013, GLOBAL ENVIRON CHANG, V23, P433, DOI 10.1016/j.gloenvcha.2012.12.010 Winter JA, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0093084 NR 62 TC 19 Z9 21 U1 7 U2 84 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD SEP PY 2015 VL 47 BP 145 EP 155 DI 10.1016/j.landusepol.2015.03.012 PG 11 WC Environmental Studies SC Environmental Sciences & Ecology GA CN9YL UT WOS:000358807000013 DA 2019-04-09 ER PT J AU Sahide, MAK Nurrochmat, DR Giessen, L AF Sahide, Muhammad Alif K. Nurrochmat, Dodik Ridho Giessen, Lukas TI The regime complex for tropical rainforest transformation: Analysing the relevance of multiple global and regional land use regimes in Indonesia SO LAND USE POLICY LA English DT Article DE International agreements; International forest regimes; International land use policies; Native forests; Agroforestry; Rubber plantations; Palm oil plantations; Relevance of international regimes; Problem-dimension; Actor-dimension ID INTERNATIONAL FOREST; CLIMATE-CHANGE; GOVERNANCE; POLICY; INTENSIFICATION; SUSTAINABILITY; BIODIVERSITY; CONVERSION; PATHWAYS; IMPACTS AB Increasingly, international agreements, treaties, and conventions address tropical deforestation and specific causes of rainforest transformation. Such international regimes may aim to conserve natural forests or to support the exploitation of lands for a particular purpose, e.g. agricultural commodities. This paper's goal is to map the international regime complex for rainforest transformation by identifying those global and regional regimes that are relevant for tropical rainforest transformation systems in Indonesia. The relevance of international regimes for rainforest transformation is assessed based on a novel methodology using two criteria: First, international' regimes may be relevant in Indonesia because the core problem they address exists in Indonesia (problem dimension). Second, specific international regimes may be made relevant by the actions of specific actors and their coalitions in pursuit of their interests (actor dimension). To achieve the study's goals we used (I) content analysis of international policy documents and treaty texts, (2) expert interviews with key informants in Indonesia, and (3) own field observations in current Indonesian land use politics. The results indicate that regimes dealing with biological diversity, climate change, trade in endangered species, wetland management, international tropical trade, illegal logging, Southeast Asian (ASEAN) forest and environment, the Asia Pacific free trade, and the southeast Asian rubber trade regime are relevant in both the problem and actor dimensions. The regimes concerned with desertification and international forestry research are relevant only in the actor dimension. In contrast, the following regimes are relevant only in the problem dimension: indigenous rights, forest certification, palm oil certification, agroforestry certification, and international rubber trade. We discuss our results considering global and regional regimes relevant to Indonesian rainforest transformation systems. We conclude that regimes relevant solely due to the engagement of domestic actors and not in respect of the problem dimension are unlikely to maintain their relevance in the long term. In the short term, however, they have the potential for creating substantial political benefits for the actors using them. In contrast, regimes with high problem relevance but low actor backing are unlikely to even enter the political agenda, and therefore will have only limited impact. This suggests that future research should consider that, whilst relevance in the problem dimension is necessary to establish regime influence, it alone does not suffice. We can expect global and regional regimes to have an influence only when powerful actors back them in their agenda setting, domestic policy formulation and actual implementation. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Sahide, Muhammad Alif K.] Univ Gottingen, Chair Forest & Nat Conservat Policy, Gottingen, Germany. [Sahide, Muhammad Alif K.] Univ Hasanuddin, Fac Forestry, Lab Forest Policy & Entrepreneurship, Sulawesi Selatan, Indonesia. [Nurrochmat, Dodik Ridho] Bogor Agr Univ, Fac Forestry, Bogor, Indonesia. [Giessen, Lukas] Univ Gottingen, Chair Forest & Nat Conservat Policy, Gottingen, Germany. RP Sahide, MAK (reprint author), Busgenweg 3, D-37077 Gottingen, Germany. EM msahide@gwdg.de; dnrochmat@yahoo.com; lgiesse@gwdg.de RI Sahide, Muhammad Alif K./I-8568-2017 OI Sahide, Muhammad Alif K./0000-0003-4908-0323; Giessen, Lukas/0000-0003-4050-0205 FU DFG [PAK 813]; Eva Mayr-Stihl Foundation; Indonesian Government FX We greatly appreciate the financial support from the DFG research project on the fragmentation of the international forest regime complex (PAK 813), the Eva Mayr-Stihl Foundation and the Indonesian Government fund (DIKTI scholarship). We are also very grateful to the Editor of the Journal of Land Use Policy and two anonymous reviewers for their insightful and constructive comments. CR Abbott K., 2011, ENVIRON PLANN C, V30, P571 Agro Indonesia, 2011, RSPO UNT KEP SIAP Agus F., 2013, MITIG ADAPT STRAT GL, P1 Allison EH, 2009, FISH FISH, V10, P173, DOI 10.1111/j.1467-2979.2008.00310.x AMAN, 2011, IND WORLD 2011 Anne Gouyon, 2003, ECOCERTIFICATION INC [Anonymous], 2014, OBSERVING INFORMAL D [Anonymous], 2008, REPUBLIKA [Anonymous], 2013, OBSERVING ALL ACTIVE [Anonymous], 2014, OBSERVATION ACTIVITI [Anonymous], 2014, REPUBLIKA [Anonymous], PEM ANGG RP 315 MIL [Anonymous], 2013, OBSERVING CONTESTING [Anonymous], 2014, WARS FRAM REDD PLUS [Anonymous], 2013, CIFOR ICRAF ACTIVITI Antara, 2013, MANF APEC UNT IND Anwar C., 2006, LOK BUD TAN KAR, P1 Ari Wibowo, 2008, TEKNO HUTAN TANAMAN, V1, P1 Arts B, 2013, EUROPEAN FOREST GOVE, P37 Arts B, 2012, FOREST POLICY ECON, V16, P7, DOI 10.1016/j.forpol.2010.12.003 Bernstein S, 2012, INT AFF, V88, P585, DOI 10.1111/j.1468-2346.2012.01090.x Bhagwati Jagdish, 2008, TERMITES WORLD TRADI Boer R, 2001, MITIGATION ADAPTATIO, V6, P257 Brockhaus M, 2014, FOREST POLICY ECON, V49, P23, DOI 10.1016/j.forpol.2013.07.003 Brockhaus M, 2012, FOREST POLICY ECON, V18, P30, DOI [10.1016/j.forpol.2011.09.004, 10.1016/j.forpol.2012.03.001] Budidarsono S, 2013, OIL PALM PLANTATIONS Budiman A., 1997, INT RUBB C IRC KUAL Burns SL, 2014, BOSQUE, V35, P163, DOI 10.4067/S0717-92002014000200004 CITES, 2014, WHAT IS CITES Clark W C, 2011, P NATL ACAD SCI USA Dauvergne P, 1998, AUST J INT AFF, V52, P13, DOI 10.1080/10357719808445234 Dequin H, 1975, GEOFORUM, V6, P257 Derkyi M, 2013, FOREST POLICY ECON, V32, P49, DOI 10.1016/j.forpol.2013.03.005 Detik, 2014, PEM SIAPK RP 5 MIL U Dhiaulhaq A, 2014, FOREST POLICY ECON, V41, P22, DOI 10.1016/j.forpol.2014.01.003 Dimitrov R. S., 2007, INT STUDIES REV, V9, P230, DOI DOI 10.1111/J.1468-2486.2007.00672.X Edwards P, 2014, FOREST POLICY ECON, V38, P30, DOI 10.1016/j.forpol.2013.08.006 Edwards P, 2013, FOREST POLICY ECON, V33, P87, DOI 10.1016/j.forpol.2012.06.002 Evans K., 2014, REDD GROUND ONE INIT FAO, 2014, SUST AGR RUR DEV Feintrenie L., 2009, Small-scale Forestry, V8, P323, DOI 10.1007/s11842-009-9086-2 Feintrenie L, 2010, SMALL-SCALE FOR, V9, P379, DOI 10.1007/s11842-010-9122-2 Fitzherbert EB, 2008, TRENDS ECOL EVOL, V23, P538, DOI 10.1016/j.tree.2008.06.012 Forest Legality Alliance, 2014, FOR LEG BAS GAPKINDO, 2014, PROD KAR AL IND 2008 GAPKINDO, 2014, LUAS PERK KAR IND 20 Giessen Bezerra, RATIONAL DESIG UNPUB Giessen L, 2013, INT FOREST REV, V15, P60, DOI 10.1505/146554813805927192 GIESSEN L., 2013, ALLGEMEINE FORST JAG, V184, P47 Giessen L., 2014, INT FOREST REV, V6, P1, DOI DOI 10.1016/J.IJANTIMICAG.2014.03.003 Giessen L, 2014, FOREST POLICY ECON, V38, P97, DOI 10.1016/j.forpol.2013.08.008 Giessen L, 2012, ENVIRONMENTAL GOVERNANCE: THE CHALLENGE OF LEGITIMACY AND EFFECTIVENESS, P155 Giessen L, 2009, ALLG FORST JAGDZTG, V180, P94 Hofmann F., 2002, THESIS ALBERT LUDWIG Hogl K, 2009, FOREST POLICY ECON, V11, P357, DOI 10.1016/j.forpol.2008.07.003 Hovi J., 2003, GLOBAL ENV POLITICS, V3, P3 Hsieh HF, 2005, QUAL HEALTH RES, V15, P1277, DOI 10.1177/1049732305276687 Humphreys D., 2006, LOGJAM DEFORESTATION Humphreys D, 2009, FOREST POLICY ECON, V11, P319, DOI 10.1016/j.forpol.2008.08.008 ISCC, 2014, ISCC OFF SOL DIFF MA Iskandar U, 1999, DIALOG KEHUTANAN DAL ISPO Commission, 2013, IND PALM OIL STAT 20 Joshi L., 2001, WANATANI KOMPLEKS BE Jurging D.J.J., 2013, NATUR RECHT, V35, P317 Keohane RO, 2011, PERSPECT POLIT, V9, P7, DOI 10.1017/S1537592710004068 Klooster D., 2010, GEOFORUM, V41, P112 Kompas, 2012, AS AGR SERT ISCC Krasner S., 1982, INT ORGAN, V32, P185, DOI DOI 10.1017/S0020818300018920 Krasner S., 1983, INT REGIMES Krott M., 1990, ERGEBNISSE BEHORDENO KROTT M, 2005, FOREST POLICY ANAL KROTT M., 2013, FOREST POLICY ECON, V49, P34 Krott M, 2006, FOREST POLICY ECON, V8, P555, DOI 10.1016/j.forpol.2005.07.004 Lawrence D. C., 1996, INDONESIA AGROFOR SY, V34, P83 LEI, 2014, STAND SERT HAS HUT B Lesniewska F, 2014, FOREST POLICY ECON, V48, P16, DOI 10.1016/j.forpol.2014.01.005 Lindstad B. H., 2014, SCAND J FOR RES Lindstad BH, 2010, FOREST POLICY ECON, V12, P489, DOI 10.1016/j.forpol.2010.07.002 Manurung T., 2000, WARTA FAHUTAN ONLINE, P1 McCarthy J, 2010, LAW POLICY, V32, P153 McDermott C, 2010, GLOBAL ENV FOREST PO McDermott C.L., 2012, ENV SCI POLICY Measey M., 2010, GLOBAL MAJORITY E J, V1, P31 Ministry of National Plan, 2011, MAST PLAN ACC EXP IN Ministry of National Planning, 2014, NAT ACT PLAN CLIM CH Miyamoto M, 2006, FOREST POLICY ECON, V9, P1, DOI 10.1016/j.forpol.2005.01.003 Miyamoto M, 2014, FOREST POLICY ECON, V44, P18, DOI 10.1016/j.forpol.2014.05.007 MoA, 2007, PROSP DAN AR PENG AG MoE, 2013, PEL DAN TANT PROT NA MoE, 2011, DAN AL KHUS BID LING MoE, 2012, MEN RAT PROT NAG MOFOR, 2012, IND FOR MAN POL REF MoFor, 2004, POLICY BRIEF TAHUN, V8 MoFor, 2014, MENG IND FOR CLIM AL MoFor, 2005, HUT RAK IND SANG PRO MoFor, 2013, FOR STAT IND 2012 Mogabay Indonesia, 2013, AKH PRES TUNJ HER PR Mosley L, 2013, INTERVIEW RES POLITI, P2013 Munadi E., 2007, INFORM PERTANIAN, V16, P1020 Murniningtyas S., 2007, INSTRUMEN KEHUTANAN Neuman W. L., 2005, QUANTITATIVE QUALITA Neyrma M., 2012, FOR POLICY EC, V22, P18 Nurrochmat D. R, 2014, FOR POLICY IN PRESS Orsini A, 2013, GLOBAL GOV, V19, P27, DOI 10.1163/19426720-01901003 Overdevest C, 2014, FOREST POLICY ECON, V48, P6, DOI 10.1016/j.forpol.2013.10.004 Pattberg P, 2005, GOVERNANCE, V18, P589, DOI 10.1111/j.1468-0491.2005.00293.x Penebar Swdaya T.P., 2008, PANDUAN LENGKAP KARE Peters BG, 2010, POLITICS BUREAUCRACY Pierce A, 2003, INT C RUR LIV FOR BI Pinchot, 2014, CERT DEF BACKGR Purnomo A, 2013, EVOLUTION INDONESIAS Radar Pena, 2014, MOR KEH HAMB INV SAW Rainforest Alliance, 2015, EV AS PULP PAP PROGR RAINTREE JB, 1987, AGROFOREST SYST, V5, P219, DOI 10.1007/BF00119124 RAINTREE JB, 1986, AGROFOREST SYST, V4, P39, DOI 10.1007/BF01834701 RAMSAR, 2014, RAMS REG IN RAMSARa, 2014, RAMS CONV RAMSARb, 2014, 7 RAMS SIT IND Raustiala K, 2004, INT ORGAN, V58, P277, DOI 10.1017/S0020818304582036 Rayner J, 2001, FOREST POLICY ECON, V2, P319, DOI 10.1016/S1389-9341(01)00038-7 RAYNER J., 2010, WORLD SERIES, V28, P9 Rianto B., 2012, OVERVIEW PALM OIL IN RSPO, 2014, WHY RSPO CERT RSPO, 2013, ISPO RSPO ENT STRAT Sadath N., 2012, FOR POLICY EC, V25, P93 Sadath N, 2013, FOREST POLICY ECON, V36, P37, DOI 10.1016/j.forpol.2013.03.001 Sahide M. A. K., CHANGING GOVER UNPUB Sahide MAK, 2015, LAND USE POLICY, V43, P96, DOI 10.1016/j.landusepol.2014.11.005 Satu Berita, 2014, HARG KAR TUR Sawit Indonesia, 2014, DISKR INPR MOR Sawit Watch, 2007, RSPO IND LIAIS OFF T Simon H.A., 1981, ENTSCHEIDUNGSVERHALT, V3 Siregar C. A., 2013, REHABILITASI LAHAN Z Smouts MC, 2008, INT FOREST REV, V10, P429, DOI 10.1505/ifor.10.3.429 SOMARRIBA E, 1992, AGROFOREST SYST, V19, P233, DOI 10.1007/BF00118781 SPRINZ D, 2005, REGIME EFFECTIVENESS Steffan-Dewenter I, 2007, P NATL ACAD SCI USA, V104, P4973, DOI 10.1073/pnas.0608409104 Tempo, 2012, PENG KEL MOR LAH GAM UNESCO, 2014, GLOB STRAT UNESCO (United Nations Educational Science and Cultural Organization)., 1996, CONV PROT WORLD CULT UNFCC, 2014, LULUCF KYOT PROT UNFCC, 2014, REDD WEB PLATF Van Evera Stephen, 1997, GUIDE METHODS STUDEN WI-Indonesia, 2014, PET DAN ATL DISTR LA Wibowo A., 2012, INT J SOCIA IN PRESS Young O., 2001, GLOBAL ENVIRON POLIT, V1(, P99, DOI DOI 10.1162/152638001570651 Yulisman L., 2014, JAKARTA POST 0301 NR 147 TC 25 Z9 25 U1 1 U2 69 PU ELSEVIER SCI LTD PI OXFORD PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND SN 0264-8377 EI 1873-5754 J9 LAND USE POLICY JI Land Use Pol. PD SEP PY 2015 VL 47 BP 408 EP 425 DI 10.1016/j.landusepol.2015.04.030 PG 18 WC Environmental Studies SC Environmental Sciences & Ecology GA CN9YL UT WOS:000358807000040 DA 2019-04-09 ER PT J AU Castro, TD Camarero, M Tamarit, C AF del Barrio Castro, Tomas Camarero, Mariam Tamarit, Cecilio TI An analysis of the trade balance for OECD countries using periodic integration and cointegration SO EMPIRICAL ECONOMICS LA English DT Article DE Current account; Time series; Periodic integration; Periodic cointegration ID UNIT-ROOT TESTS; NONPARAMETRIC-TESTS; SEASONAL ADJUSTMENT; REGRESSION; SELECTION; ERRORS; MODEL AB We analyze imbalances in external accounts that have historically affected most developed countries. The purpose of this study was to shed some light on the sustainability of the current account for a group of OECD countries by merging the popular Husted (Rev Econ Stat 74(1):159-166, 1992) testing procedure with recent econometric analysis dealing with seasonality. A necessary condition for current account sustainability is that exports and imports are cointegrated. Following previous empirical studies (Husted 1992; Arize in Int Rev Econ Financ 11:101-115, 2002; Hamori in Appl Econ Lett 16:1691-1694, 2009), we analyze the long-run relationship linking exports and imports, using quarterly data. In contrast to these studies, we explicitly deal with seasonal effects through the use of periodic integration and cointegration and find a long-run relationship for the majority of the countries. C1 [del Barrio Castro, Tomas] Univ Balearic Isl, Palma De Mallorca, Spain. [Camarero, Mariam] Univ Jaume 1, Castellon De La Plana, Spain. [Tamarit, Cecilio] Univ Valencia, Valencia, Spain. RP Tamarit, C (reprint author), Univ Valencia, Valencia, Spain. EM tomas.barrio@uib.es; camarero@eco.uji.es; Cecilio.Tamarit@uv.es RI Tamarit, Cecilio/A-8178-2010; del Barrio Castro, Tomas/K-1186-2014; Camarero, Mariam/A-5047-2008 OI Tamarit, Cecilio/0000-0002-0538-9882; del Barrio Castro, Tomas/0000-0002-8904-9139; Camarero, Mariam/0000-0003-4525-5181 FU MICINN [ECO2011-23934, ECO2011-30260-C03-01]; Spanish Ministry of Education mobility programme [PRX12/00103]; Generalitat Valenciana, PROMETEO [2009/098]; European Commission [542457-LLP-1-2013-1-ES-AJM-CL, 542434-LLP-1-2013-1-ES-AJM-CL] FX We thank Denise R. Osborn for her helpful suggestions on a previous version of this paper, and also the constructive comments of two anonymous referees and the editor of the Journal. The authors gratefully acknowledge financial support from MICINN (Projects ECO2011-23934 and ECO2011-30260-C03-01). The paper has been finished during a stay of C. Tamarit at the University of Goettingen funded by the Spanish Ministry of Education mobility programme (Grant Ref. PRX12/00103). C. Tamarit and M. Camarero are members of INTECO research group funded by Generalitat Valenciana, PROMETEO 2009/098 project as well as the European Commission (Lifelong Learning Program-Jean Monnet Action references 542457-LLP-1-2013-1-ES-AJM-CL and 542434-LLP-1-2013-1-ES-AJM-CL). This publication reflects the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein. CR ARIZE AC, 2002, INT REV ECON FINANC, V11, P101, DOI DOI 10.1016/S1059-0560(01)00101-0 BALK BM, 1980, J ROY STAT SOC A STA, V143, P68, DOI 10.2307/2981770 Boswijk H, 1996, J TIME SER ANAL, V17, P221 BOSWIJK HP, 1995, REV ECON STAT, V77, P436, DOI 10.2307/2109906 Breitung J, 2002, J ECONOMETRICS, V108, P343, DOI 10.1016/S0304-4076(01)00139-7 Castro TD, 2002, ECON LETT, V75, P249 Castro TDB, 2008, ECONOMET THEOR, V24, P109, DOI 10.1017/S0266466608080079 Castro TD, 2011, J TIME SER ECONOM, V3, DOI 10.2202/1941-1928.1090 Castro TD, 2012, J TIME SER ANAL, V33, P424, DOI 10.1111/j.1467-9892.2011.00775.x Diewert WE, 1998, MACROECON DYN, V2, P456 Feenstra Robert C., 1999, INT TRADE PRICE INDE Franses P. H., 2004, PERIODIC TIME SERIES FRANSES PH, 1994, J ECONOMETRICS, V63, P133, DOI 10.1016/0304-4076(93)01563-2 FRANSES PH, 1994, OXFORD B ECON STAT, V56, P421, DOI 10.1111/j.1468-0084.1994.tb00018.x GERSOVITZ M, 1978, J AM STAT ASSOC, V73, P264, DOI 10.2307/2286651 GHYSELS E, 1990, J BUS ECON STAT, V8, P145, DOI 10.2307/1391976 GHYSELS E, 1993, J ECONOMETRICS, V55, P57, DOI 10.1016/0304-4076(93)90004-O Ghysels E., 2001, ECONOMETRIC ANAL SEA Gourinchas PO, 2007, J POLIT ECON, V115, P665, DOI 10.1086/521966 Gupta JB, 1965, IMF STAFF PAPERS, V12, P353 Hamori S, 2009, APPL ECON LETT, V16, P1691, DOI 10.1080/13504850701675490 HANSEN LP, 1993, J ECONOMETRICS, V55, P21, DOI 10.1016/0304-4076(93)90003-N HUSTED S, 1992, REV ECON STAT, V74, P159, DOI 10.2307/2109554 HYLLEBERG S, 1990, J ECONOMETRICS, V44, P215, DOI 10.1016/0304-4076(90)90080-D HYLLEBERG S, 1995, J ECONOMETRICS, V69, P5, DOI 10.1016/0304-4076(94)01660-R IMF, 2004, PROD PRIC IND MAN Johansen S, 1999, J ECONOMETRICS, V88, P301, DOI 10.1016/S0304-4076(98)00035-9 JOHANSEN S, 1988, J ECON DYN CONTROL, V12, P231, DOI 10.1016/0165-1889(88)90041-3 Kunst R, 2009, EC SERIES, V233 Kunst R. M., 1997, J TIME SER ANAL, V18, P123 LEE HS, 1992, J ECONOMETRICS, V54, P1, DOI 10.1016/0304-4076(92)90098-C MARAVALL A, 1993, J ECONOMETRICS, V56, P5, DOI 10.1016/0304-4076(93)90099-Q MITCHELL WC, 1927, BUSINESS CYCLES NEWEY WK, 1994, REV ECON STUD, V61, P631, DOI 10.2307/2297912 OSBORN DR, 1988, J APPL ECONOM, V3, P255, DOI 10.1002/jae.3950030402 OSBORN DR, 1988, OXFORD B ECON STAT, V50, P361 Osborn DR, 1991, J ECON, V28, P323 Paap R, 1999, ECONOMET REV, V18, P271 Perron P, 1996, REV ECON STUD, V63, P435, DOI 10.2307/2297890 PHILLIPS PCB, 1988, J ECON DYN CONTROL, V12, P205, DOI 10.1016/0165-1889(88)90040-1 Rodrigues PMM, 2007, J ECONOMETRICS, V141, P548, DOI 10.1016/j.jeconom.2006.10.007 SARGAN JD, 1983, ECONOMETRICA, V51, P153, DOI 10.2307/1912252 Watson Mark W., 1999, COINTEGRATION CAUSAL NR 43 TC 0 Z9 0 U1 0 U2 15 PU PHYSICA-VERLAG GMBH & CO PI HEIDELBERG PA PO BOX 10 52 80, 69042 HEIDELBERG, GERMANY SN 0377-7332 EI 1435-8921 J9 EMPIR ECON JI Empir. Econ. PD SEP PY 2015 VL 49 IS 2 BP 389 EP 402 DI 10.1007/s00181-014-0874-y PG 14 WC Economics; Social Sciences, Mathematical Methods SC Business & Economics; Mathematical Methods In Social Sciences GA CO1SK UT WOS:000358935300001 DA 2019-04-09 ER PT J AU Van Wilgen, NJ Mcgeoch, MA AF Van Wilgen, Nicola J. Mcgeoch, Melodie A. TI Balancing effective conservation with sustainable resource use in protected areas: precluded by knowledge gaps SO ENVIRONMENTAL CONSERVATION LA English DT Article DE global environmental change; overharvesting; parks; resource management; South Africa; sustainable development; threats to biodiversity ID AFRICAN NATIONAL-PARKS; SOUTH-AFRICA; BIODIVERSITY CONSERVATION; GLOBAL BIODIVERSITY; DEGAZETTEMENT PADDD; ECOSYSTEM SERVICES; MEDICINAL-PLANTS; CLIMATE-CHANGE; TRADE; MANAGEMENT AB Despite significant expansion of the global protected area (PA) network, this investment has not commonly been matched by investment in their management. This includes managing trade-offs between social and biodiversity goals, including resource use in PAs. While some resource-use activities receive significant attention, the full suite of resources extracted from PA systems is rarely documented. This paper illustrates the potential risk of resource use to PA ecological performance through a survey of resources harvested in South Africa's national parks. Even for this comparatively well-managed suite of parks, significant data gaps preclude assessments of harvest sustainability. Harvest quantities were known for <8% of the 341 used resources, while 23% were not identified to species level. International Union for the Conservation of Nature Red List conservation status had not been evaluated for 78% of species, and 31% of all species (83% of marine species) had not been evaluated nationally. Protected areas face ongoing pressure to balance people-based and biodiversity outcomes, but whether or not both objectives can be achieved cannot be assessed without adequate data. Managing PAs in future will require consideration of trade-offs between investing in PA expansion, increasing the monitoring and management capacity of PA agencies, and investing in the research needed to support decision making. C1 [Van Wilgen, Nicola J.; Mcgeoch, Melodie A.] South African Natl Pk, Cape Res Ctr, Ctr Invas Biol, ZA-7947 Steenberg, South Africa. [Mcgeoch, Melodie A.] Monash Univ, Sch Biol Sci, Clayton, Vic 3800, Australia. RP Van Wilgen, NJ (reprint author), South African Natl Pk, Cape Res Ctr, Ctr Invas Biol, POB 216, ZA-7947 Steenberg, South Africa. EM nvanwilgen@gmail.com RI McGeoch, Melodie/F-8353-2011 OI McGeoch, Melodie/0000-0003-3388-2241 FU SANParks; Andrew W. Mellon Foundation FX We thank the SANParks park managers and regional ecologists, Alexis Symonds, Kyle Smith, Mbulelo Dopolo, Wessel Vermeulen, Elzette Bester, Louise Swemmer, Leif Petersen and Wendy Annecke for valuable comments and assistance, as well as Carly Cook, Brian van Wilgen and three anonymous referees for comments on an earlier version of this manuscript. This work was supported by SANParks and the Andrew W. Mellon Foundation. CR Adams WM, 2004, SCIENCE, V306, P1146, DOI 10.1126/science.1097920 Almond Rosamunde E.A., 2013, P159 Andrade GSM, 2012, ECOL SOC, V17, DOI 10.5751/ES-05216-170414 [Anonymous], 2010, VERS 1 Blore ML, 2013, J ENVIRON MANAGE, V129, P444, DOI 10.1016/j.jenvman.2013.08.002 Botha J, 2004, ENVIRON CONSERV, V31, P38, DOI 10.1017/S0376892904001067 Botha J., 2001, Koedoe, V44, P7 Branch TA, 2013, TRENDS ECOL EVOL, V28, P409, DOI 10.1016/j.tree.2013.03.003 Buscher B., 2007, CONSERV SOC, V5, P1 Butchart SHM, 2010, SCIENCE, V328, P1164, DOI 10.1126/science.1187512 Chape S, 2005, PHILOS T ROY SOC B, V360, P443, DOI 10.1098/rstb.2004.1592 Clarke K. R., 2006, PRIMER V6 USER MANUA Clarke K. R., 2001, CHANGE MARINE COMMUN Cook CN, 2011, CONSERV LETT, V4, P372, DOI 10.1111/j.1755-263X.2011.00189.x Craigie ID, 2010, BIOL CONSERV, V143, P2221, DOI 10.1016/j.biocon.2010.06.007 du Toit JT, 2003, KRUGER EXPERIENCE EC Dudley N., 2008, GUIDELINES APPL PROT Ferraro PJ, 2011, ENVIRON RESOUR ECON, V48, P269, DOI 10.1007/s10640-010-9408-z Fuller RA, 2010, NATURE, V466, P365, DOI 10.1038/nature09180 Gaston KJ, 2008, ANNU REV ECOL EVOL S, V39, P93, DOI 10.1146/annurev.ecolsys.39.110707.173529 Gillson L, 2013, TRENDS ECOL EVOL, V28, P135, DOI 10.1016/j.tree.2012.10.008 Greve M, 2011, ANIM CONSERV, V14, P295, DOI 10.1111/j.1469-1795.2010.00429.x Holmes-Watts T, 2008, FOREST POLICY ECON, V10, P435, DOI 10.1016/j.forpol.2008.02.005 Hutchings L, 2009, S AFR J SCI, V105, P182 IUCN, 2011, IUCN RED LIST THREAT Kremen C, 2005, ECOL LETT, V8, P468, DOI 10.1111/j.1461-0248.2005.00751.x Laurance WF, 2012, NATURE, V489, P290, DOI 10.1038/nature11318 Lenzen M, 2012, NATURE, V486, P109, DOI 10.1038/nature11145 Leverington F, 2010, ENVIRON MANAGE, V46, P685, DOI 10.1007/s00267-010-9564-5 Lindsey PA, 2013, BIOL CONSERV, V160, P80, DOI 10.1016/j.biocon.2012.12.020 Locke H, 2005, ENVIRON CONSERV, V32, P1, DOI 10.1017/S0376892905001852 Mander M., 2007, EC TRADITIONAL MED T, P189 Mascia MB, 2014, BIOL CONSERV, V169, P355, DOI 10.1016/j.biocon.2013.11.021 Mascia MB, 2011, CONSERV LETT, V4, P9, DOI 10.1111/j.1755-263X.2010.00147.x McGeoch MA, 2011, KOEDOE, V53, DOI 10.4102/koedoe.v53i2.991 Moeng ET, 2011, J MED PLANTS RES, V5, P558 Mucina L., 2006, VEGETATION S AFRICA Myers N, 2000, NATURE, V403, P853, DOI 10.1038/35002501 Naughton-Treves L., 2006, Sustainability: Science, Practice & Policy, V2, P32 Naughton-Treves L, 2005, ANNU REV ENV RESOUR, V30, P219, DOI 10.1146/annurev.energy.30.050504.164507 Ndanyalasi HJ, 2007, BIOL CONSERV, V134, P242, DOI 10.1016/j.biocon.2006.06.020 Nellemann C., 2012, GREEN CARBON BLACK T Pala C, 2013, NATURE, V496, P18, DOI 10.1038/496018a Pereira HM, 2010, SCIENCE, V330, P1496, DOI 10.1126/science.1196624 Petersen LM, 2012, ECOL SOC, V17, DOI 10.5751/ES-04537-170226 Petersen LM, 2014, SOC NATUR RESOUR, V27, P315, DOI 10.1080/08941920.2013.861558 Reinten EY, 2011, S AFR J BOT, V77, P934, DOI 10.1016/j.sajb.2011.09.005 Salafsky N, 2011, BIOL CONSERV, V144, P973, DOI 10.1016/j.biocon.2010.06.003 Scheepers K, 2011, KOEDOE, V53, DOI 10.4102/koedoe.v53i2.999 SEYDACK AHW, 1995, FOREST ECOL MANAG, V77, P155, DOI 10.1016/0378-1127(95)03578-X Solano-Fernandez S, 2012, ENVIRON CONSERV, V39, P259, DOI 10.1017/S0376892912000070 Spear D, 2013, BIOL CONSERV, V159, P137, DOI 10.1016/j.biocon.2012.11.022 Stats SA, 1996, POPULATION CENSUS 19 Stats SA, 2012, CENS 2011 STAT REL Ter Braak CJF, 2002, CANOCO REFERENCE MAN Thondhlana G., 2011, ENVIRON RES LETT, V6, P1 Tunley K., 2009, WWF S AFRICA REPORT Turner WR, 2007, BIOSCIENCE, V57, P868, DOI 10.1641/B571009 Van Wilgen NJ, 2013, KOEDOE, V55, DOI 10.4102/koedoe.v55i1.1096 Van Wyk B-E, 2009, MED PLANTS S AFRICA van Wyk BE., 2007, PEOPLES PLANTS Wells M, 2004, AMBIO, V33, P513, DOI 10.1639/0044-7447(2004)033[0513:IPAMWL]2.0.CO;2 Wilshusen PR, 2002, SOC NATUR RESOUR, V15, P17, DOI 10.1080/089419202317174002 Wintle BA, 2011, NAT CLIM CHANGE, V1, P355, DOI 10.1038/NCLIMATE1227 NR 64 TC 2 Z9 3 U1 5 U2 49 PU CAMBRIDGE UNIV PRESS PI NEW YORK PA 32 AVENUE OF THE AMERICAS, NEW YORK, NY 10013-2473 USA SN 0376-8929 EI 1469-4387 J9 ENVIRON CONSERV JI Environ. Conserv. PD SEP PY 2015 VL 42 IS 3 BP 246 EP 255 DI 10.1017/S0376892914000320 PG 10 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CO0WC UT WOS:000358873400006 DA 2019-04-09 ER PT J AU Safavi, HR Golmohammadi, MH Sandoval-Solis, S AF Safavi, Hamid R. Golmohammadi, Mohammad H. Sandoval-Solis, Samuel TI Expert knowledge based modeling for integrated water resources planning and management in the Zayandehrud River Basin SO JOURNAL OF HYDROLOGY LA English DT Article DE Integrated water resources management; Complex hydrologic systems; Expert knowledge; ANFIS; Zayandehrud basin ID DECISION-SUPPORT-SYSTEM; SCENARIO ANALYSIS; NEURAL-NETWORK; CLIMATE-CHANGE; HIGHLAND CATCHMENTS; PRIORITY-DRIVEN; DEMAND-DRIVEN; TIME-SERIES; SUSTAINABILITY; UNCERTAINTY AB This study highlights the need for water resource planning and management using expert knowledge to model known extreme hydrologic variability in complex hydrologic systems with lack of data. The Zayandehrud River Basin in Iran is used as an example of complex water system; this study provides a comprehensive description of the basin, including its water demands (municipal, agricultural, industrial and environmental) and water supply resources (rivers, inter-basin water transfer and aquifers). The objective of this study is to evaluate near future conditions of the basin (from Oct./2015 to Sep./2019) considering the current water management policies and climate change conditions, referred as Baseline scenario. A planning model for the Zayandehrud basin was built to evaluate the Baseline scenario, the period of hydrologic analysis is 21 years, (from Oct./1991 to Sep./2011); it was calibrated for 17 years and validated for 4 years using a Historic scenario that considered historic water supply, infrastructure and hydrologic conditions. Because the Zayandehrud model is a planning model and not a hydrologic model (rainfall runoff model), an Adaptive Network-based Fuzzy Inference System (ANFIS) is used to generate synthetic natural flows considering temperature and precipitation as inputs. This model is an expert knowledge and data based model which has the benefits of Artificial Neural Networks (ANN) and Fuzzy Inference Systems (FIS). Outputs of the ANFIS model were compared to the Historic scenario results and are used in the Baseline scenario. Three metrics are used to evaluate the goodness of fit of the ANFIS model. Water supply results of the Baseline scenario are analyzed using five performance criteria: time-based and volumetric reliability, resilience, vulnerability and maximum deficit. One index, the Water Resources Sustainability Index is used to summarize the performance criteria results and to facilitate comparison among trade-offs. Results for the Baseline scenario show that water demands will be supplied at the cost of depletion of surface and groundwater resource, making this scenario undesirable, unsustainable and with the potential of irreversible negative impact in water sources. Hence, the current water management policy is not viable; there is a need for additional water management policies that reduce water demand through improving irrigation efficiency and reduction of groundwater extraction for sustainable water resources management in the Zayandehrud basin. (C) 2015 Elsevier B.V. All rights reserved. C1 [Safavi, Hamid R.; Golmohammadi, Mohammad H.] IUT, Dept Civil Engn, Esfahan, Iran. [Sandoval-Solis, Samuel] Univ Calif Davis, Dept Land Air & Water Resource, Davis, CA 95616 USA. RP Safavi, HR (reprint author), IUT, Dept Civil Engn, Esfahan, Iran. EM hasafavi@cc.iut.ac.ir FU Iran's Ministry of Science, Research and Technology (MSRT); Isfahan University of Technology (IUT) FX This paper was written behind of PhD thesis of second author who worked on the Zayandehrud WEAP model during his stay at the University of California, Davis (UCD) as a visiting scholar. The second author would like to thank the Iran's Ministry of Science, Research and Technology (MSRT) and Isfahan University of Technology (IUT), for their financial support throughout his stay at UCD. We would like to express our endless gratitude to Prof. Abbas Afshar for his wisdom and guidance. Special thanks to the experts of Isfahan Regional Water Company especially Mr. Aslani, Mr. Asadi, Mr. Kazemi, and Mr. Dorri who shared their knowledge, data and information regarding the Zayandehrud Basin. CR Ako AA, 2010, WATER RESOUR MANAG, V24, P871, DOI 10.1007/s11269-009-9476-4 Akrami S. A., 2013, WATER RESOUR MANAG, V27, P3803 Arranz R., 2007, APPL WATER EVALUATIO, V116 Asefa T, 2014, J HYDROL, V508, P53, DOI 10.1016/j.jhydrol.2013.10.043 Assata H., 2008, GENERIC SIMULATION M Cai X., 2006, MODELING WATER RESOU, V149 Cai X, 1999, THESIS U TEXAS AUSTI Chau KW, 2007, ADV ENG SOFTW, V38, P172, DOI 10.1016/j.advengsoft.2006.07.003 Chen W, 2006, INT J ENVIRON POLLUT, V28, P432, DOI 10.1504/IJEP.2006.011221 Cheng CT, 2005, LECT NOTES COMPUT SC, V3498, P1040 Coelho AC, 2012, WATER RESOUR MANAG, V26, P1325, DOI 10.1007/s11269-011-9961-4 Coelho Maran A. C., 2010, MULTICRITERIA DECISI Danner C. L., 2006, DOCUMENTATION TESTIN Davies EGR, 2011, ADV WATER RESOUR, V34, P684, DOI 10.1016/j.advwatres.2011.02.010 Dawadi S, 2012, J HYDROL, V430, P127, DOI 10.1016/j.jhydrol.2012.02.010 Dawson CW, 2001, PROG PHYS GEOG, V25, P80, DOI 10.1191/030913301674775671 Dong CL, 2013, TECHNOL FORECAST SOC, V80, P749, DOI 10.1016/j.techfore.2012.09.015 Dukhovny V., 2005, INTEGRATED WATER RES Dukhovny V. A., 2004, P AWRA C DUND UK Gaiser T, 2008, PHYS CHEM EARTH, V33, P175, DOI 10.1016/j.pce.2007.04.018 Georgakakos AP, 2012, J HYDROL, V412, P34, DOI 10.1016/j.jhydrol.2011.04.038 Gieske A., 2000, IAERI IWMI RES REPOR, V15 Glantz S.A., 1990, PRIMER APPL REGRESSI Gohari A, 2013, J HYDROL, V491, P23, DOI 10.1016/j.jhydrol.2013.03.021 Gohari A, 2013, SCI TOTAL ENVIRON, V442, P405, DOI 10.1016/j.scitotenv.2012.10.029 Hagan I.S. A. A. C., 2007, EXAMENSARETE TVVR, P5008 HASHIMOTO T, 1982, WATER RESOUR RES, V18, P14, DOI 10.1029/WR018i001p00014 Henseler M., 2005, INT C POL MOD ECOMOD Henseler M, 2009, AGR SYST, V100, P31, DOI 10.1016/j.agsy.2008.12.002 IPCC, 2007, GEN GUID US SCEN DAT IWRM in Isfahan, 2014, GROUNDW REP IWRM in Isfahan, 2014, IND REP IWRM in Isfahan, 2014, ZAYAND RIV CATCHM RE IWRM in Isfahan, 2014, AGR REP IWRM Toolbox, 2003, SHAR KNOWL EQ EFF SU Jakeman AJ, 2008, DEV INTEG ENVIRON, V3, P1, DOI 10.1016/S1574-101X(08)00601-7 Jang J. S. R., 1997, NEUROFUZZY SOFT COMP JANG JSR, 1993, IEEE T SYST MAN CYB, V23, P665, DOI 10.1109/21.256541 JANG JSR, 1995, P IEEE, V83, P378, DOI 10.1109/5.364486 Katsiardi P., 2005, GLOBAL NEST J, V7, P360 Kjeldsen TR, 2004, HYDROLOG SCI J, V49, P755, DOI 10.1623/hysj.49.5.755.55136 Lane B. A., 2014, THESIS U CALIFORNIA Lane B.A., 2014, RIVER RES APPL Legates DR, 1999, WATER RESOUR RES, V35, P233, DOI 10.1029/1998WR900018 Letcher RA, 2006, AGR SYST, V89, P132, DOI 10.1016/j.agsy.2005.08.007 Letcher RA, 2006, AGR SYST, V89, P106, DOI 10.1016/j.agsy.2005.08.006 Liu Y, 2007, ENVIRON MANAGE, V39, P678, DOI 10.1007/s00267-006-0029-9 Loucks DP, 1997, HYDROLOG SCI J, V42, P513, DOI 10.1080/02626669709492051 Ludwig F, 2014, J HYDROL, V518, P235, DOI 10.1016/j.jhydrol.2013.08.010 Madani K, 2009, WATER RESOUR MANAG, V23, P2163, DOI 10.1007/s11269-008-9376-z Matondo JI, 2002, PHYS CHEM EARTH, V27, P831, DOI 10.1016/S1474-7065(02)00072-4 Matthews G. V. T., 1993, RAMSAR CONVENTION WE McMahon TA, 2006, J HYDROL, V324, P359, DOI 10.1016/j.jhydrol.2005.09.030 Meire P., 2008, NATO SCI SERIES, V80 Molinos-Senante M, 2014, J HYDROL, V515, P139, DOI 10.1016/j.jhydrol.2014.04.054 Molle F, 2009, COMPR ASSESS WAT MAN, V8, P196, DOI 10.1079/9781845935382.0196 Moriasi DN, 2007, T ASABE, V50, P885 Moy W. S., 1986, J WATER RESOUR RES, V22, P2135 Mugatsia E. A., 2010, THESIS MOI U KENYA Murray-Rast H., 2000, OVERVIEW HYDROLOGY Z Muttil N, 2006, INT J ENVIRON POLLUT, V28, P223, DOI 10.1504/IJEP.2006.011208 Nash J. Eamonn, 1970, J HYDROL, V10, P282, DOI [10.1016/0022-1694(70)90255-6, DOI 10.1016/0022-1694(70)90255-6] Nayak PC, 2004, J HYDROL, V291, P52, DOI 10.1016/j.jhydrol.2003.12.010 Ni X, 2012, SCI TOTAL ENVIRON, V439, P129, DOI 10.1016/j.scitotenv.2012.09.031 Nikouei A, 2012, J HYDROL, V464, P216, DOI 10.1016/j.jhydrol.2012.07.013 Nourani V, 2013, J HYDROL, V490, P41, DOI 10.1016/j.jhydrol.2013.03.024 Ozger M, 2009, HYDROLOG SCI J, V54, P261, DOI 10.1623/hysj.54.2.261 Pallottino S, 2005, ENVIRON MODELL SOFTW, V20, P1031, DOI 10.1016/j.envsoft.2004.09.012 Paydar Consulting Engineering Co, 2010, UPD STUD WAT RES ZAY Porto Monica F. A., 2008, Estud. av., V22, P43, DOI 10.1590/S0103-40142008000200004 Rosenberg D. E., 2008, THESIS U CALIFORNIA Safaei M, 2013, WATER INT, V38, P724, DOI 10.1080/02508060.2013.823815 Safavi H. R., 2013, British Journal of Environment and Climate Change, V3, P444, DOI 10.9734/BJECC/2013/2295 Safavi HR, 2009, IRAN J SCI TECHNOL B, V33, P79 Safavi HR, 2011, J IRRIG DRAIN ENG, V137, P383, DOI 10.1061/(ASCE)IR.1943-4774.0000300 Salemi H. R., 2002, IAERI IWMI RES REPOR, V8 Sandoval-Solis S, 2014, J WATER RES PLAN MAN, V140, P355, DOI 10.1061/(ASCE)WR.1943-5452.0000331 Sandoval-Solis S, 2011, J WATER RES PL-ASCE, V137, P381, DOI 10.1061/(ASCE)WR.1943-5452.0000134 Sandoval-Solis S., 2011, THESIS U TEXAS AUSTI Sarhadi A, 2013, J ARID ENVIRON, V98, P27, DOI 10.1016/j.jaridenv.2013.07.010 Soussa H. K., 2005, GIS BASED WATERSHED Steel R. G. D, 1960, PRINCIPLES PROCEDURE Sumathi S, 2010, COMPUTATIONAL INTELLIGENCE PARADIGMS: THEORY AND APPLICATIONS USING MATLAB, P1, DOI 10.1201/9781439809037 Taormina R, 2012, ENG APPL ARTIF INTEL, V25, P1670, DOI 10.1016/j.engappai.2012.02.009 Tavakoli Nabavi S. E., 2011, 4 IR WAT RES MAN C A Van beek E., 2006, INTEGRATED WATER RES Vargas-Amelin E, 2014, J HYDROL, V518, P243, DOI 10.1016/j.jhydrol.2013.11.035 Vigerstol K., 2002, THESIS U WASHINGTON Wang WC, 2009, J HYDROL, V374, P294, DOI 10.1016/j.jhydrol.2009.06.019 Water and Wastewater Research Institute (WWRI), 2012, CLIM CHANG EFF PREC Weng SQ, 2010, EXPERT SYST APPL, V37, P8242, DOI 10.1016/j.eswa.2010.05.061 WILLMOTT CJ, 1985, J GEOPHYS RES-OCEANS, V90, P8995, DOI 10.1029/JC090iC05p08995 Wu CL, 2009, WATER RESOUR RES, V45, DOI 10.1029/2007WR006737 Wurbs RA, 2006, J HYDROL ENG, V11, P55, DOI 10.1061/(ASCE)1084-0699(2006)11:1(55) Xie M, 2006, AFR REG WORKSH IWRM Yates D, 2005, WATER INT, V30, P501, DOI 10.1080/02508060508691894 Yates D, 2005, WATER INT, V30, P487, DOI 10.1080/02508060508691893 Yekom Consulting Engineering Co, 2013, UPD INT WAT RES STUD Zayandab Consulting, 2008, DET RES CONS WAT ZAY ZhenGfu R., 2009, J NATURAL SCI, V14, P543 NR 100 TC 21 Z9 21 U1 2 U2 48 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0022-1694 EI 1879-2707 J9 J HYDROL JI J. Hydrol. PD SEP PY 2015 VL 528 BP 773 EP 789 DI 10.1016/j.jhydrol.2015.07.014 PG 17 WC Engineering, Civil; Geosciences, Multidisciplinary; Water Resources SC Engineering; Geology; Water Resources GA CO2EG UT WOS:000358968200063 DA 2019-04-09 ER PT J AU Wang, LJ Zhou, DQ Wang, YY Zha, DL AF Wang, Lijun Zhou, Dequn Wang, Yongyu Zha, Donglan TI An empirical study of the environmental Kuznets curve for environmental quality in Gansu province SO ECOLOGICAL INDICATORS LA English DT Article DE Environment Kuznets Curve; Environmental quality; Bayesian autoregression; Minnesota prior ID ECONOMIC-GROWTH; ECOLOGICAL FOOTPRINT; BAYESIAN-ESTIMATION; EMISSIONS; TRADE; DEGRADATION; EKC; SUSTAINABILITY; COINTEGRATION; DEFORESTATION AB The Environmental Kuznets Curve (EKC) can be defined as a significant tool dedicated to explore the relationship between economic development and environment degradation. And EKC empirical studies usually confirm an inverted U-shaped relationship between some pollutants and per capita income. However, pollution load indicators seem insufficient to represent environmental quality comprehensively. Therefore, the empirical study of EKC for environmental quality, which confirms a U-shaped relationship has been conducted in Gansu province, China. What is more, time series econometric methodologies were used to take environmental quality as endogenous variable, and Bayesian methods were employed to deal with the trouble of overfitting problem. Based on the empirical data of Gansu province from 1980 to 2012, the cointegration equation derived from Bayesian VAR with Minnesota prior shows the optimal estimation. And the results have shown that the EKC for environmental quality in Gansu province was verified. It proved that it is possible for low-income economy to improve environmental quality rather than at the cost of being poorer. Technical effect and environmental regulations may play important roles for the decline of the curve. In addition, impulse response analysis indicates that the efforts to protect and restore environment means prospect of long-term earning. (C) 2015 Elsevier Ltd. All rights reserved. C1 [Wang, Lijun; Zhou, Dequn; Zha, Donglan] Nanjing Univ Aeronaut & Astronaut, Res Ctr Soft Energy Sci, Nanjing 211106, Jiangsu, Peoples R China. [Wang, Yongyu] Lanzhou Univ Finance & Econ, Res Ctr Quantitat Anal Econ Dev Gansu Prov, Lanzhou 730020, Peoples R China. RP Wang, LJ (reprint author), Nanjing Univ Aeronaut & Astronaut, Res Ctr Soft Energy Sci, 29 Jiangjun Ave, Nanjing 211106, Jiangsu, Peoples R China. EM sdwanglijun@nuaa.edu.cn; dqzhou88@163.com; yongyu_wang@163.com; zdl@nuaa.edu.cn FU National Natural Science Foundation of China [71273005, 71203092]; Ph.D. Programs Foundation of Ministry of Education of China [20123218110028]; Ministry of Education, Humanities and Social Sciences project [12XJA910002] FX The authors gratefully acknowledge the helpful suggestions from two anonymous reviewers. This work was supported by the National Natural Science Foundation of China (Nos. 71273005 and 71203092), the Ph.D. Programs Foundation of Ministry of Education of China (No. 20123218110028), Ministry of Education, Humanities and Social Sciences project (No. 12XJA910002). CR ARROW K, 1995, SCIENCE, V268, P520, DOI 10.1126/science.268.5210.520 Babu SS, 2013, INT J SUST DEV WORLD, V20, P309, DOI 10.1080/13504509.2013.795505 Bagliani M, 2008, ECOL ECON, V65, P650, DOI 10.1016/j.ecolecon.2008.01.010 Barbier EB, 2001, LAND ECON, V77, P155, DOI 10.2307/3147087 BECKERMAN W, 1992, WORLD DEV, V20, P481, DOI 10.1016/0305-750X(92)90038-W Brandt P., 2007, MULTIPLE TIME SERIES Brock WA, 2010, J ECON GROWTH, V15, P127, DOI 10.1007/s10887-010-9051-0 Bulte EH, 2001, J DEV ECON, V65, P225, DOI 10.1016/S0304-3878(01)00135-3 Caviglia-Harris JL, 2009, ECOL ECON, V68, P1149, DOI 10.1016/j.ecolecon.2008.08.006 Choumert J, 2013, ECOL ECON, V90, P19, DOI 10.1016/j.ecolecon.2013.02.016 Congdon P., 2003, APPL BAYESIAN MODELI COPELAND BR, 1995, AM J AGR ECON, V77, P765, DOI 10.2307/1243249 Copeland BR, 2004, J ECON LIT, V42, P7, DOI 10.1257/002205104773558047 Dasgupta S, 2000, J ENVIRON ECON MANAG, V39, P39, DOI 10.1006/jeem.1999.1090 Dasgupta S, 2002, J ECON PERSPECT, V16, P147, DOI 10.1257/0895330027157 Dinda S, 2005, ECOL ECON, V53, P403, DOI 10.1016/j.ecolecon.2004.10.007 Dinda S, 2004, ECOL ECON, V49, P431, DOI 10.1016/j.ecolecon.2004.02.011 Doan TA, 1984, ECONOMET REV, V3, P1, DOI DOI 10.1080/07474938408800053 ENGLE RF, 1987, ECONOMETRICA, V55, P251, DOI 10.2307/1913236 Fare R., 2001, INDEX NUMBER A UNPUB Farhani S, 2014, ENERG POLICY, V71, P189, DOI 10.1016/j.enpol.2014.04.030 Gallagher K.S, 2003, US SOC EC EC 2 BIENN Gan F.S., 2009, PEOPLES DAILY 1001 GEISSER S, 1965, J AM STAT ASSOC, V60, P602, DOI 10.2307/2282694 GELFAND AE, 1990, J AM STAT ASSOC, V85, P398, DOI 10.2307/2289776 GELFAND AE, 1990, J AM STAT ASSOC, V85, P972, DOI 10.2307/2289594 Granger C. W. J., 1983, STUDIES ECONOMETRICS, P255 GRANGER CWJ, 1981, J ECONOMETRICS, V16, P121, DOI 10.1016/0304-4076(81)90079-8 Grossman G.M., 1991, 3914 NBER Hilton FGH, 1998, J ENVIRON ECON MANAG, V35, P126, DOI 10.1006/jeem.1998.1023 Hritonenko N, 1999, MATH MODELING EC ECO Hui L., 2007, EC B, V17, P1 Jha R, 2003, J COMP ECON, V31, P352, DOI 10.1016/S0147-5967(03)00042-8 JOHANSEN S, 1988, J ECON DYN CONTROL, V12, P231, DOI 10.1016/0165-1889(88)90041-3 Kaufmann RK, 1998, ECOL ECON, V25, P209, DOI 10.1016/S0921-8009(97)00181-X Kearsley A, 2010, ECOL ECON, V69, P905, DOI 10.1016/j.ecolecon.2009.11.014 Koop Gary, 2009, Foundations and Trends in Econometrics, V3, P267, DOI 10.1561/0800000013 Kuznets S., 1955, AM ECON REV, V6, P35 LeSage J. P., 1999, APPL ECONOMETRICS US Liddle B, 2001, ECOL ECON, V39, P21, DOI 10.1016/S0921-8009(01)00215-4 LITTERMAN RB, 1986, J BUS ECON STAT, V4, P25, DOI 10.2307/1391384 Liu D.S., 2004, EVOLUTION TRENDS NAT Liu L, 2008, ANN ASSOC AM GEOGR, V98, P604, DOI 10.1080/00045600802013452 LOPEZ R, 1994, J ENVIRON ECON MANAG, V27, P163, DOI 10.1006/jeem.1994.1032 Ma J.Z., 2004, SAF ENV ENG, V11, P1 Ma S.Y., 2006, GANSU FOREST CONDITI McConnell K. E., 1997, ENVIRON DEV ECON, V2, P383 Meadows DH, 1972, LIMITS GROWTH Meadows Donella H., 2004, LIMITS TO GROWTH Mostafa MM, 2010, ECOL INDIC, V10, P808, DOI 10.1016/j.ecolind.2010.01.002 Musolesi A, 2010, APPL ECON, V42, P2275, DOI 10.1080/00036840701858034 Ntzoufras I., 2009, BAYESIAN MODELING US Panayotou T., 2003, EC GROWTH ENV 2003 E, V2 Panayotou T., 1997, ENVIRON DEV ECON, V2, P465, DOI DOI 10.1017/S1355770X97000259 Pesaran M. H., 1998, ECON LETT, V58, P17, DOI DOI 10.1016/S0165-1765(97)00214-0 Reyes R.C., 2011, DLSU BUS EC REV, V21, P111 Robalino-Lopez A, 2014, ENERG POLICY, V67, P923, DOI 10.1016/j.enpol.2013.12.003 Robertson J. C., 1999, FEDERAL RESERVE BA Q, V84, P4 Romero-Avila D, 2008, ECOL ECON, V64, P559, DOI 10.1016/j.ecolecon.2007.03.011 Sims C.A., 1980, ECONOMETRICA, V48, P540 SIMS CA, 1972, AM ECON REV, V62, P540 Sims CA, 1998, INT ECON REV, V39, P949, DOI 10.2307/2527347 Song S B, 2005, CHIN J APPL ECOL, V16, P345 Stanton J.M., 2001, J STAT ED, V9, P3 Stefanski R, 2010, OXCARRE WORKING PAPE, V47 Stern DI, 2010, ECOL ECON, V69, P2173, DOI 10.1016/j.ecolecon.2010.06.024 Stern DI, 2004, WORLD DEV, V32, P1419, DOI 10.1016/j.worlddev.2004.03.004 Stern DI, 2002, ECOL ECON, V42, P201, DOI 10.1016/S0921-8009(02)00050-2 Torras M, 1998, ECOL ECON, V25, P147, DOI 10.1016/S0921-8009(97)00177-8 Unruh GC, 1998, ECOL ECON, V25, P221, DOI 10.1016/S0921-8009(97)00182-1 van den Bergh J.C.J.M., 1993, REV EUROPEENNE SCI S, P241 Wang A.P., 2007, THESIS XIAN U TECHNO Wang H., 2007, LANZHOU DAILY 0618 Wang X, 2010, ECOL ECON, V69, P2549, DOI 10.1016/j.ecolecon.2010.07.031 Wang Y, 2013, ECOL INDIC, V34, P15, DOI 10.1016/j.ecolind.2013.03.021 [王永瑜 Wang Yongyu], 2011, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V25, P41 Zaim O, 2000, J ENVIRON MANAGE, V58, P95, DOI 10.1006/jema.1999.0312 ZELLNER A, 1986, J AM STAT ASSOC, V81, P446, DOI 10.2307/2289234 Zellner A., 1986, BAYESIAN INFERENCE D, V11, P233 Zellner A., 1971, INTRO BAYESIAN INFER Zhang Z., 2006, ENV EVALUATION NR 81 TC 6 Z9 8 U1 4 U2 44 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 1470-160X EI 1872-7034 J9 ECOL INDIC JI Ecol. Indic. PD SEP PY 2015 VL 56 BP 96 EP 105 DI 10.1016/j.ecolind.2015.03.023 PG 10 WC Biodiversity Conservation; Environmental Sciences SC Biodiversity & Conservation; Environmental Sciences & Ecology GA CL1ZQ UT WOS:000356743800012 DA 2019-04-09 ER PT J AU Baudron, F Mamo, A Tirfessa, D Argaw, M AF Baudron, Frederic Mamo, Aynalem Tirfessa, Dereje Argaw, Mekuria TI Impact of farmland exclosure on the productivity and sustainability of a mixed crop-livestock system in the Central Rift Valley of Ethiopia SO AGRICULTURE ECOSYSTEMS & ENVIRONMENT LA English DT Article DE Zero-grazing; Biomass trade-off; Smallholder; Land rehabilitation; Sustainable intensification; Collective action ID SUB-SAHARAN AFRICA; COMMUNAL GRAZING LANDS; NORTHERN ETHIOPIA; TIGRAY HIGHLANDS; PROXIMATE CAUSES; ORGANIC-MATTER; VEGETATION; AGRICULTURE; RESTORATION; KENYA AB Livestock provides numerous benefits to smallholders in sub-Saharan Africa, but also represents a potential agent of environmental degradation. Exclosures have been implemented in grazing areas for the past decades in Ethiopia and have been effective in regenerating natural vegetation, controlling soil erosion and increasing soil fertility. More recently, the principles of exclosure have been applied to farmland in pilot areas of Ethiopia. This paper analyzes the impact of eight years of farmland exclosure in the Central Rift Valley of Ethiopia. The performance of 'exclosed farms' (EF) - in which livestock was excluded from the farmland throughout the year - was compared to the performance of neighboring 'open grazing farms' (OF) - in which fields were open for aftermath grazing in winter. EF and OF had significantly different feed and fuel use strategies. Compared to OF, EF relied less on cereal residues, farmland grass, and livestock dung, and more on biomass produced in the communal grazing area (trees and grass) and tree biomass produced on-farm. Because of these different patterns of feed and fuel use, more biomass - in the form of crop residue, manure and compost - was available as soil amendment in EF. This translated into significantly more fertile soils and significantly higher tef yields in EF as compared to OF (1980 +/- 644 kg ha(-1) in EF vs. 1173 +/- 434 kg ha(-1) in OF). These results demonstrate that farmland exclosure is a practical pathway toward sustainable intensification. However, attention should be drawn to three points: (1) the approach impacted positively on crop productivity, but had a negligible impact on livestock productivity, (2) EF livestock still depended partially on grazing (outside of the exclosure) for their acquisition of feed, pointing at the fact that zero-grazing sensu strict may not be realistic in semi-arid areas of Ethiopia, and (3) land rehabilitation through controlled grazing may only be feasible in particular geographic locations (e.g., physical barriers preventing outside livestock to access the area, and presence of alternative grazing areas in the vicinity). (C) 2015 Elsevier B.V. All rights reserved. C1 [Baudron, Frederic; Tirfessa, Dereje] CIMMYT Ethiopia, ILRI, Addis Ababa, Ethiopia. [Mamo, Aynalem; Argaw, Mekuria] Univ Addis Ababa, Sch Grad Studies, Dept Environm Sci, Addis Ababa, Ethiopia. RP Baudron, F (reprint author), CIMMYT Ethiopia, ILRI, Shola Campus,POB 5689, Addis Ababa, Ethiopia. EM f.baudron@cgiar.org OI Tirfessa, Dereje/0000-0002-3360-624X; Baudron, Frederic/0000-0002-5648-2083 FU EU-IFAD (European Union - International Fund for Agricultural Development) FX This research was funded by EU-IFAD (European Union - International Fund for Agricultural Development) through the projects 'Enhancing Total Farm Productivity in Smallholder Conservation Agriculture Based Systems in Eastern Africa' and 'Conservation Agriculture and Smallholder Farmers in Eastern and Southern Africa'. We thank Yoseph Alemayehu (CIMMYT Ethiopia) for his contribution to the map of the study area. CR Argaw M, 1999, J ARID ENVIRON, V43, P411, DOI 10.1006/jare.1999.0532 Asefa DT, 2003, LAND DEGRAD DEV, V14, P25, DOI 10.1002/ldr.505 Babulo B, 2008, AGR SYST, V98, P147, DOI 10.1016/j.agsy.2008.06.001 Bebe BO, 2002, OUTLOOK AGR, V31, P113, DOI 10.5367/000000002101293958 Burgess SSO, 1998, OECOLOGIA, V115, P306, DOI 10.1007/s004420050521 Chikowo R, 2003, AGROFOREST SYST, V59, P187, DOI 10.1023/B:AGFO.0000005219.07409.a0 Craswell ET, 2001, NUTR CYCL AGROECOSYS, V61, P7, DOI 10.1023/A:1013656024633 DANSO SKA, 1992, PLANT SOIL, V141, P177, DOI 10.1007/BF00011316 Descheemaeker K, 2006, J HYDROL, V331, P219, DOI 10.1016/j.jhydrol.2006.05.015 Descheemaeker K, 2006, FOREST ECOL MANAG, V233, P21, DOI 10.1016/j.foreco.2006.05.061 Descheemaeker K, 2006, GEODERMA, V132, P291, DOI 10.1016/j.geoderma.2005.04.027 Evans R, 1998, PROG PHYS GEOG, V22, P251, DOI 10.1177/030913339802200206 Fafchamps M, 1998, J DEV ECON, V55, P273, DOI 10.1016/S0304-3878(98)00037-6 Garrity DP, 2010, FOOD SECUR, V2, P197, DOI 10.1007/s12571-010-0070-7 Gowing JW, 2008, SOIL USE MANAGE, V24, P92, DOI 10.1111/j.1475-2743.2007.00137.x Iiyama M, 2014, CURR OPIN ENV SUST, V6, P138, DOI 10.1016/j.cosust.2013.12.003 Jahnke H. E., 1982, Livestock production systems and livestock development in tropical Africa. KAUFFMAN JB, 1984, J RANGE MANAGE, V37, P430, DOI 10.2307/3899631 Kohlin G., 2012, BACKGROUND PAPER 201 Lal R, 2004, NUTR CYCL AGROECOSYS, V70, P103, DOI 10.1023/B:FRES.0000048480.24274.0f Lal R, 2010, CROP SCI, V50, pS120, DOI 10.2135/cropsci2010.01.0012 Leakey R., 1996, Agroforestry Today, V8, P5 LEHOUEROU HN, 1977, J RANGE MANAGE, V30, P181 Lekasi J. K., 1998, MANURE MANAGEMENT KE Lenaerts L., 2013, THESIS CATHOLIC U LE McDermott JJ, 2010, LIVEST SCI, V130, P95, DOI 10.1016/j.livsci.2010.02.014 Mekuria W, 2012, APPL VEG SCI, V15, P71, DOI 10.1111/j.1654-109X.2011.01145.x Mekuria W, 2011, SOIL SCI SOC AM J, V75, P246, DOI 10.2136/sssaj2010.0176 Mengistu T, 2005, J ARID ENVIRON, V60, P259, DOI 10.1016/j.jaridenv.2004.03.014 Moll HAJ, 2005, AGR ECON-BLACKWELL, V32, P181, DOI 10.1111/j.0169-5150.2005.00210.x Nedessa B., 38 DRYL COORD GROUP Nyssen J, 2009, SOIL TILL RES, V103, P231, DOI 10.1016/j.still.2008.05.020 Nyssen J, 2009, SCI TOTAL ENVIRON, V407, P2749, DOI 10.1016/j.scitotenv.2008.12.016 Nyssen J, 2010, HYDROL PROCESS, V24, P1880, DOI 10.1002/hyp.7628 Ong CK, 2000, AGR ECOSYST ENVIRON, V80, P121, DOI 10.1016/S0167-8809(00)00144-4 Pretty J, 2011, INT J AGR SUSTAIN, V9, P5, DOI 10.3763/ijas.2010.0583 Rufino MC, 2007, LIVEST SCI, V112, P273, DOI 10.1016/j.livsci.2007.09.011 Rufino MC, 2011, AGR SYST, V104, P175, DOI 10.1016/j.agsy.2010.06.001 Ruthenberg H., FARMING SYSTEMS TROP Serneels S, 2001, AGR ECOSYST ENVIRON, V85, P65, DOI 10.1016/S0167-8809(01)00188-8 Sharp BR, 2003, J BIOGEOGR, V30, P783, DOI 10.1046/j.1365-2699.2003.00840.x Stewart CE, 2007, BIOGEOCHEMISTRY, V86, P19, DOI 10.1007/s10533-007-9140-0 Tegebu F. N., 2011, TROPICAL ANIMAL HLTH TRIMBLE SW, 1995, GEOMORPHOLOGY, V13, P233, DOI 10.1016/0169-555X(95)00028-4 Tucker NIJ, 1997, FOREST ECOL MANAG, V99, P133, DOI 10.1016/S0378-1127(97)00200-4 Valbuena D, 2012, FIELD CROP RES, V132, P175, DOI 10.1016/j.fcr.2012.02.022 Vanlauwe B, 2010, OUTLOOK AGR, V39, P17, DOI 10.5367/000000010791169998 Wassie A, 2009, FOREST ECOL MANAG, V257, P765, DOI 10.1016/j.foreco.2008.07.032 Wilson RT, 2003, AGR ECOSYST ENVIRON, V97, P21, DOI 10.1016/S0167-8809(03)00118-X Zingore S, 2011, NUTR CYCL AGROECOSYS, V90, P87, DOI 10.1007/s10705-010-9414-0 NR 50 TC 6 Z9 6 U1 1 U2 58 PU ELSEVIER SCIENCE BV PI AMSTERDAM PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS SN 0167-8809 EI 1873-2305 J9 AGR ECOSYST ENVIRON JI Agric. Ecosyst. Environ. PD SEP 1 PY 2015 VL 207 BP 109 EP 118 DI 10.1016/j.agee.2015.04.003 PG 10 WC Agriculture, Multidisciplinary; Ecology; Environmental Sciences SC Agriculture; Environmental Sciences & Ecology GA CK4KC UT WOS:000356191700012 DA 2019-04-09 ER PT J AU Arnold, N Hasse, R AF Arnold, Nadine Hasse, Raimund TI Escalation of Governance: Effects of Voluntary Standardization on Organizations, Markets and Standards in Swiss Fair Trade SO SOCIOLOGICAL RESEARCH ONLINE LA English DT Article DE Governance; Voluntary Standards; Standards Market; Organization; Meta-Standardization; Fair Trade ID NOR HIERARCHY; EMERGENCE; NETWORK; SUSTAINABILITY; TRUST AB Voluntary standards are a ubiquitous phenomenon in modern society that has recently started to attract sociologists' profound interest. This paper concentrates on formal standardization over the long term and seeks to understand its effects on the coordination of an organizational field. Using an institutional approach we see standards as a form of governance that can be analytically distinguished from other modes of coordination, such as markets and hierarchical organizations. To empirically ground our understanding of formal standards' consequences on field-level governance, we conducted a case study of the historical development of the Swiss fair trade field since the 1970s. Evidence used in this case study is drawn from 28 expert interviews, documentation and fair trade standard documents. While a formal set of voluntary standards was absent in its early development, in 1992 fair trade organizations started to use written standards as a means of achieving their objectives. Paradoxically, the introduction of a rational standardization system has led to escalating governance structures in the field. In the long run the launch of formal standards has caused more organizations, more markets, and even more standards. The use of standards as a means of creating differentiation instead of generating uniformity is thereby seen as the main reason for increased coordination demands. As a consequence, this article highlights standards' potential to boost additional governance efforts and directs attention to the mutual enforcement of distinct modes of coordination. C1 [Arnold, Nadine; Hasse, Raimund] Univ Lucerne, Luzern, Switzerland. RP Arnold, N (reprint author), Univ Lucerne, Luzern, Switzerland. CR Abbott KW, 2013, REGUL GOV, V7, P95, DOI 10.1111/j.1748-5991.2012.01167.x Adler PS, 2001, ORGAN SCI, V12, P215, DOI 10.1287/orsc.12.2.215.10117 Bartley T, 2007, AM J SOCIOL, V113, P297, DOI 10.1086/518871 Boltanski L, 2006, JUSTIFICATION EC WOR Botzem S, 2006, TRANSNATIONAL GOVERNANCE: INSTITUTIONAL DYNAMICS OF REGULATION, P266 BRADACH JL, 1989, ANNU REV SOCIOL, V15, P97, DOI 10.1146/annurev.so.15.080189.000525 Brown Keith, 2013, BUYING FAIR TRADE CU BRUNNER U, 1999, BANANENFRAUEN Brunsson N., 2000, WORLD STANDARDS Brunsson N, 2012, ORGAN STUD, V33, P613, DOI 10.1177/0170840612450120 Busch L, 2011, INFRASTRUCT SER, P1 BUTHE T, 2010, OXFORD HDB BUSINESS Coase RH, 1937, ECONOMICA-NEW SER, V4, P386, DOI 10.1111/j.1468-0335.1937.tb00002.x Cremona M., 2013, PROCESSES PRACTICES Demil B, 2006, ORGAN STUD, V27, P1447, DOI 10.1177/0170840606067250 DIMAGGIO PJ, 1983, AM SOCIOL REV, V48, P147, DOI 10.2307/2095101 DINE J, 2013, PROCESSES PRACTICES Djama M., 2011, GOVERNING STANDARDS Djelic ML, 2006, TRANSNATIONAL GOVERNANCE: INSTITUTIONAL DYNAMICS OF REGULATION, P1, DOI 10.1017/CBO9780511488665 Drori G. S., 2003, SCI MODERN WORLD POL Dubuisson-Quellier S, 2013, ETHICAL CONSUMPTION ECOLABEL INDEX, 2014, EC IND ALL EC EPSTEIN S, 2009, STANDARDS THEIR STOR FAIRTRADE INTERNATIONAL, 2012, STAND OP PROC DEV FA Fligstein N., 2012, A THEORY OF FIELDS FLO-CERT, 2013, QUAL MAN EXPL DOC Gendron C, 2009, J BUS ETHICS, V86, P63, DOI 10.1007/s10551-008-9758-4 George Alexander L., 2005, CASE STUDIES THEORY Gibbon P, 2008, ECON SOC, V37, P315, DOI 10.1080/03085140802172656 GLASER J, 2010, EXPERTENINTERVIEWS Q Goodman D, 2012, ROUT STUD GASTRO FOO, P1 HAGE J, 1997, CONT CAPITALISM EMBE Hasse R., 2013, SOCIOLOGIA INT, V51, P181, DOI DOI 10.3790/SINT.51.2.181 HASSE R, 2015, ZUKUNFT ORGANISATION HAUFF M, 2012, FAIR TRADE KONZEPT N Hibou B, 2012, BUREAUCRATISATION MO Higgins V, 2010, CALCULATING THE SOCIAL: STANDARDS AND THE RECONFIGURATION OF GOVERNING, P1, DOI 10.1057/9780230289673 Hoffman AJ, 1999, ACAD MANAGE J, V42, P351, DOI 10.2307/257008 Hudson I., 2013, FAIR TRADE SUSTAINAB Huybrechts B, 2012, FAIR TRADE ORG SOCIA Huybrechts B, 2010, J BUS ETHICS, V92, P147, DOI 10.1007/s10551-010-0574-2 JACOBSSON B, 2000, WORLD STANDARDS Jaffee D, 2010, AGR HUM VALUES, V27, P387, DOI 10.1007/s10460-009-9231-8 KATZ ML, 1985, AM ECON REV, V75, P424 KOCKEN M, 2006, 60 YEARS FAIR TRADE Krauskopf P.L., 2014, WETTBEWERBSSITUATION Krier J-M., 2005, FAIR TRADE EUROPE 20 KUHN K, 2005, FAIRER HANDEL KALTER KUHN K, 2011, ENTWICKLUNGSPOLITISC Lampland M., 2009, STANDARDS THEIR STOR Loconto A, 2010, REV INT POLIT ECON, V17, P507, DOI 10.1080/09692290903319870 Loya TA, 1999, CONSTRUCTING WORLD C Mahe T, 2010, J BUS ETHICS, V92, P301, DOI 10.1007/s10551-010-0585-z MARTINELLI E, 1998, EFTA SURVEY FAIR TRA Morgan G., 2010, OXFORD HDB COMP I AN Nicholls A, 2010, J BUS ETHICS, V92, P241, DOI 10.1007/s10551-010-0581-3 Passarge E., 2013, SCHWEIZ Z SOZIALVERS, V39, P465 Ponte S, 2011, GOVERNING STANDARDS POWELL WW, 1990, RES ORGAN BEHAV, V12, P295 RAYNOLDS L. T., 2007, FAIR TRADE CHALLENGE Raynolds LT, 2007, AGR HUM VALUES, V24, P147, DOI 10.1007/s10460-006-9047-8 Reinecke J, 2012, ORGAN STUD, V33, P791, DOI 10.1177/0170840612443629 Renard M. C., 2013, International Journal of Sociology of Agriculture and Food, V20, P51 SCHABER C, 2008, ZUKUNFT FAIREN HANDE Schmitter P., 1985, EUROPEAN SOCIOLOGICA, V1, P119, DOI DOI 10.1093/OXFORDJOURNALS.ESR.A036381 Scott W. R., 1995, I ORG Skea J, 1995, STANDARDS INNOVATION Spencer D, 2010, SOCIOL RES ONLINE, V15, DOI 10.5153/sro.2223 Stolle Dietlind, 2013, POLITICAL CONSUMERIS Strahm R, 2008, ENTWICKLUNG HEISST B STRAHM R, 2008, ENTWICKLUNG HEISST B SWISS FAIRTRADE, 2008, SWISS FAIRTR GRUNDS Timmermans S, 2010, ANNU REV SOCIOL, V36, P69, DOI 10.1146/annurev.soc.012809.102629 Webb J, 2007, SOCIOL RES ONLINE, V12 WFTO, 2014, WFTO GUAR SYST HDB WFTO FLO FLO-Cert, 2011, FAIR TRAD GLOSS Williamson O. E, 1975, MARKETS HIERARCHIES Winchester N, 2012, SOCIOL RES ONLINE, V17, DOI 10.5153/sro.2777 WWF Konsumentenschutz STS (Schweizer Tierschutz) acsi (associazione consumatrici e consumatori della Svizzera italiana) and FRC (Federation romande des consommateures), 2010, HINT LAB LEB Yin R.K., 2009, CASE STUDY RES DESIG NR 80 TC 3 Z9 3 U1 0 U2 10 PU SAGE PUBLICATIONS LTD PI LONDON PA 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND SN 1360-7804 J9 SOCIOL RES ONLINE JI Sociol. Res. Online PD AUG 31 PY 2015 VL 20 IS 3 AR 10 DI 10.5153/sro.3734 PG 16 WC Sociology SC Sociology GA DD2IM UT WOS:000369745900014 DA 2019-04-09 ER PT J AU Ying, BW Honda, T Tsuru, S Seno, S Matsuda, H Kazuta, Y Yomo, T AF Ying, Bei-Wen Honda, Tomoya Tsuru, Saburo Seno, Shigeto Matsuda, Hideo Kazuta, Yasuaki Yomo, Tetsuya TI Evolutionary Consequence of a Trade-Off between Growth and Maintenance along with Ribosomal Damages SO PLOS ONE LA English DT Article ID ESCHERICHIA-COLI; STATIONARY-PHASE; GENE-EXPRESSION; TRANSLATION; SELECTION; SURVIVAL; ADAPTATION; STARVATION; MUTATIONS; BACTERIA AB Microorganisms in nature are constantly subjected to a limited availability of resources and experience repeated starvation and nutrition. Therefore, microbial life may evolve for both growth fitness and sustainability. By contrast, experimental evolution, as a powerful approach to investigate microbial evolutionary strategies, often targets the increased growth fitness in controlled, steady-state conditions. Here, we address evolutionary changes balanced between growth and maintenance while taking nutritional fluctuations into account. We performed a 290-day-long evolution experiment with a histidine-requiring Escherichia coli strain that encountered repeated histidine-rich and histidine-starved conditions. The cells that experienced seven rounds of starvation and re-feed grew more sustainably under prolonged starvation but dramatically lost growth fitness under rich conditions. The improved sustainability arose from the evolved capability to use a trace amount of histidine for cell propagation. The reduced growth rate was attributed to mutations genetically disturbing the translation machinery, that is, the ribosome, ultimately slowing protein translation. This study provides the experimental demonstration of slow growth accompanied by an enhanced affinity to resources as an evolutionary adaptation to oscillated environments and verifies that it is possible to evolve for reduced growth fitness. Growth economics favored for population increase under extreme resource limitations is most likely a common survival strategy adopted by natural microbes. C1 [Ying, Bei-Wen] Univ Tsukuba, Fac Life & Environm Sci, Tsukuba, Ibaraki 3058572, Japan. [Honda, Tomoya] Univ Calif San Diego, Div Biol Sci, Mol Biol Sect, La Jolla, CA 92093 USA. [Tsuru, Saburo; Seno, Shigeto; Matsuda, Hideo; Yomo, Tetsuya] Osaka Univ, Grad Sch Informat Sci & Technol, Suita, Osaka 5650871, Japan. [Kazuta, Yasuaki; Yomo, Tetsuya] JST, ERATO, Suita, Osaka 5650871, Japan. [Yomo, Tetsuya] Osaka Univ, Grad Sch Frontier Biosci, Suita, Osaka 5650871, Japan. RP Yomo, T (reprint author), Osaka Univ, Grad Sch Informat Sci & Technol, 1-5 Yamadaoka, Suita, Osaka 5650871, Japan. EM yomo@ist.osaka-u.ac.jp RI Tsuru, Saburo/M-5069-2017 OI Tsuru, Saburo/0000-0002-7182-1637; Ying, Bei-Wen/0000-0003-2517-5686 FU Ministry of Education, Culture, Sports, Science and Technology, Japan [26506003, 26119702] FX This work was partially supported by Grant-in-Aid for Scientific Research (C) no. 26506003 (to BWY) and Grant-in-Aid for Scientific Research on Innovative Areas no. 26119702 (to BWY) from the Ministry of Education, Culture, Sports, Science and Technology, Japan. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. CR Baba T, 2006, MOL SYST BIOL, V2, DOI 10.1038/msb4100050 Barrick JE, 2009, NATURE, V461, P1243, DOI 10.1038/nature08480 Basturea GN, 2011, RNA, V17, P338, DOI 10.1261/rna.2448911 Blokpoel MCJ, 2005, J BACTERIOL, V187, P6691, DOI 10.1128/JB.187.19.6691-6700.2005 BONI IV, 1991, NUCLEIC ACIDS RES, V19, P155, DOI 10.1093/nar/19.1.155 Bremer H, 1996, ESCHERICHIA COLI SAL, V1, P1553 BROCK TD, 1971, BACTERIOL REV, V35, P39 Carroll SM, 2014, BMC MICROBIOL, V14, DOI 10.1186/1471-2180-14-2 Cheng ZF, 2005, MOL CELL, V17, P313, DOI 10.1016/j.molcel.2004.11.048 Cheng ZF, 2003, P NATL ACAD SCI USA, V100, P6388, DOI 10.1073/pnas.1231041100 Conrad TM, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.42 Cooper TF, 2003, P NATL ACAD SCI USA, V100, P1072, DOI 10.1073/pnas.0334340100 Davey HM, 2011, APPL ENVIRON MICROB, V77, P5571, DOI 10.1128/AEM.00744-11 Dethlefsen L, 2007, J BACTERIOL, V189, P3237, DOI 10.1128/JB.01686-06 Durfee T, 2008, J BACTERIOL, V190, P1084, DOI 10.1128/JB.01092-07 Duval M, 2013, PLOS BIOL, V11, DOI 10.1371/journal.pbio.1001731 Egli T, 2010, WATER RES, V44, P4826, DOI 10.1016/j.watres.2010.07.023 Farrell MJ, 2003, J BACTERIOL, V185, P7044, DOI 10.1128/JB.185.24.7044-7052.2003 Faure D, 2004, J BACTERIOL, V186, P6437, DOI 10.1128/JB.186.19.6437-6442.2004 Ferenci T, 2005, MOL MICROBIOL, V57, P1, DOI 10.1111/j.1365-2958.2005.04649.x Ferenci T, 2001, ENVIRON MICROBIOL, V3, P605, DOI 10.1046/j.1462-2920.2001.00238.x Finkel SE, 2006, NAT REV MICROBIOL, V4, P113, DOI 10.1038/nrmicro1340 Finkel SE, 1999, P NATL ACAD SCI USA, V96, P4023, DOI 10.1073/pnas.96.7.4023 Fujii S, 2014, NAT PROTOC, V9, P1578, DOI 10.1038/nprot.2014.107 Gerdes SY, 2003, J BACTERIOL, V185, P5673, DOI 10.1128/JB.185.19.5673-5684.2003 Hoehler TM, 2013, NAT REV MICROBIOL, V11, P83, DOI 10.1038/nrmicro2939 Horinouchi T, 2010, BMC GENOMICS, V11, DOI 10.1186/1471-2164-11-579 Jones SE, 2010, P NATL ACAD SCI USA, V107, P5881, DOI 10.1073/pnas.0912765107 Kaczanowska M, 2004, J BACTERIOL, V186, P3046, DOI 10.1128/JB.186.10.3046-3055.2004 Kaczanowska M, 2007, MICROBIOL MOL BIOL R, V71, P477, DOI 10.1128/MMBR.00013-07 KAPRELYANTS AS, 1993, FEMS MICROBIOL LETT, V104, P271, DOI 10.1016/0378-1097(93)90600-7 Kazuta Y, 2008, MOL CELL PROTEOMICS, V7, P1530, DOI 10.1074/mcp.M800051-MCP200 Kazuta Y, 2014, J BIOSCI BIOENG, V118, P554, DOI 10.1016/j.jbiosc.2014.04.019 Kell DB, 1998, ANTON LEEUW INT J G, V73, P169, DOI 10.1023/A:1000664013047 King T, 2004, J BACTERIOL, V186, P5614, DOI 10.1128/JB.186.17.5614.5620.2004 Kishimoto T, 2010, PLOS GENET, V6, DOI 10.1371/journal.pgen.1001164 KOLTER R, 1993, ANNU REV MICROBIOL, V47, P855, DOI 10.1146/annurev.mi.47.100193.004231 KURLAND CG, 1992, ANNU REV GENET, V26, P29, DOI 10.1146/annurev.ge.26.120192.000333 LAPPINSCOTT HM, 1988, APPL ENVIRON MICROB, V54, P1373 Lee DH, 2010, APPL ENVIRON MICROB, V76, P4158, DOI 10.1128/AEM.00373-10 Lennon JT, 2011, NAT REV MICROBIOL, V9, P119, DOI 10.1038/nrmicro2504 LENSKI RE, 1994, P NATL ACAD SCI USA, V91, P6808, DOI 10.1073/pnas.91.15.6808 Liu XQ, 2001, MICROBIOL-SGM, V147, P2981, DOI 10.1099/00221287-147-11-2981 Lopez-Maury L, 2008, NAT REV GENET, V9, P583, DOI 10.1038/nrg2398 LUCKINBILL LS, 1978, SCIENCE, V202, P1201, DOI 10.1126/science.202.4373.1201 Madrid RE, 2005, CRIT REV BIOTECHNOL, V25, P97, DOI 10.1080/07388550500248563 Matsumoto Y, 2013, BMC GENOMICS, V14, DOI 10.1186/1471-2164-14-808 MIKKOLA R, 1992, MOL BIOL EVOL, V9, P394 MUKAMOLOVA GV, 1995, ARCH MICROBIOL, V163, P373, DOI 10.1007/BF00404211 Nystrom T, 1996, EMBO J, V15, P3219, DOI 10.1002/j.1460-2075.1996.tb00686.x Nystrom T, 2003, BIOESSAYS, V25, P204, DOI 10.1002/bies.10233 Nystrom T, 1998, FEMS MICROBIOL REV, V21, P283, DOI 10.1111/j.1574-6976.1998.tb00354.x Nystrom T, 1998, BBA-BIOENERGETICS, V1365, P225, DOI 10.1016/S0005-2728(98)00072-3 Ohashi H, 2007, BIOCHEM BIOPH RES CO, V352, P270, DOI 10.1016/j.bbrc.2006.11.017 Oliver JD, 2010, FEMS MICROBIOL REV, V34, P415, DOI 10.1111/j.1574-6976.2009.00200.x Phan K, 2013, ISME J, V7, P2034, DOI 10.1038/ismej.2013.82 Posfai G, 2006, SCIENCE, V312, P1044, DOI 10.1126/science.1126439 Raffaghello L, 2008, P NATL ACAD SCI USA, V105, P8215, DOI 10.1073/pnas.0708100105 Ross I., 1996, J COMPUTATIONAL GRAP, V3, P299, DOI DOI 10.1080/10618600.1996.10474713 Ryall B, 2012, MICROBIOL MOL BIOL R, V76, P597, DOI 10.1128/MMBR.05028-11 SCHAECHTER M, 1958, J GEN MICROBIOL, V19, P592, DOI 10.1099/00221287-19-3-592 Schoener TW, 2011, SCIENCE, V331, P426, DOI 10.1126/science.1193954 Scott M, 2010, SCIENCE, V330, P1099, DOI 10.1126/science.1192588 Sengupta J, 2001, P NATL ACAD SCI USA, V98, P11991, DOI 10.1073/pnas.211266898 Shimizu Y, 2001, NAT BIOTECHNOL, V19, P751, DOI 10.1038/90802 Srivatsan A, 2008, CURR OPIN MICROBIOL, V11, P100, DOI 10.1016/j.mib.2008.02.001 Stevens MHH, 2007, GENETICS, V177, P2243, DOI 10.1534/genetics.107.076869 Subramaniam AR, 2014, CELL, V159, P1200, DOI 10.1016/j.cell.2014.10.043 Szekely P, 2013, PLOS COMPUT BIOL, V9, DOI 10.1371/journal.pcbi.1003163 Tsuru S, 2011, MOL SYST BIOL, V7, DOI 10.1038/msb.2011.24 Usui K, 2014, FEBS LETT, V588, P117, DOI 10.1016/j.febslet.2013.11.018 Vulic M, 2001, GENETICS, V158, P519 Watson SP, 1998, J BACTERIOL, V180, P1750 Wilson DN, 2007, CRIT REV BIOCHEM MOL, V42, P187, DOI 10.1080/10409230701360843 Ying BW, 2014, MOL BIOSYST, V10, P375, DOI 10.1039/c3mb70254e Ying BW, 2010, J BIOSCI BIOENG, V110, P529, DOI 10.1016/j.jbiosc.2010.05.014 ZAMBRANO MM, 1993, SCIENCE, V259, P1757, DOI 10.1126/science.7681219 Zinser ER, 2004, RES MICROBIOL, V155, P328, DOI 10.1016/j.resmic.2004.01.014 Zinser ER, 1999, J BACTERIOL, V181, P5800 Zundel MA, 2009, RNA, V15, P977, DOI 10.1261/rna.1381309 NR 80 TC 4 Z9 4 U1 0 U2 12 PU PUBLIC LIBRARY SCIENCE PI SAN FRANCISCO PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA SN 1932-6203 J9 PLOS ONE JI PLoS One PD AUG 20 PY 2015 VL 10 IS 8 AR e0135639 DI 10.1371/journal.pone.0135639 PG 19 WC Multidisciplinary Sciences SC Science & Technology - Other Topics GA CP5KH UT WOS:000359919900023 PM 26292224 OA DOAJ Gold, Green Published DA 2019-04-09 ER EF