Identification of the critical transmission sectors and typology of industrial water use for supply-chain water pressure mitigation

Resources, Conservation and Recycling - Tập 131 - Trang 305-312 - 2018
Feng Wu1,2, Zhongxiao Sun3, Fengting Wang4, Qian Zhang1,2,5,6
1Center for Chinese Agricultural Policy, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
2University of the Chinese Academy of Sciences, Beijing 100049, China
3Institute of Environmental Sciences (CML), Leiden University, Leiden, 2300RA, the Netherlands
4College of Economics and Management, China Agricultural University, Beijing 100083, China
5Geoinformatics Division, Department of Urban Planning and Environment, Royal Institute of Technology-KTH, Stockholm, 10044, Sweden
6Collaborative Innovation Centre for Baiyangdian Basin Ecological Protection and Jingjinji Regional Sustainable Development, Hebei University, Baoding, 071002, China

Tài liệu tham khảo

Barabási, 1999, Emergence of scaling in random networks, Science, 286, 509, 10.1126/science.286.5439.509 Boccaletti, 2006, Complex networks structure and dynamics, Phys. Rep., 424, 175, 10.1016/j.physrep.2005.10.009 Chen, 2012, Global network of embodied water flow by systems input-output simulation, Front. Earth Sci., 6, 331, 10.1007/s11707-012-0305-3 Cheng, 2014, Integrated study of the water–ecosystem–economy in the Heihe River Basin, Natl. Sci Rev., 1, 413, 10.1093/nsr/nwu017 Dalin, 2014, Water resources transfers through Chinese interprovincial and foreign food trade, Proc. Natl. Acad. Sci. U. S. A., 111, 9774, 10.1073/pnas.1404749111 Deng, 2014, An extended input output table compiled for analyzing water demand and consumption at county level in China, Sustainability, 6, 3301, 10.3390/su6063301 Ewing, 2012, Integrating ecological and water footprint accounting in a multi-regional input–output framework, Ecol. Indic., 23, 1, 10.1016/j.ecolind.2012.02.025 Feng, 2014, Virtual scarce water in China, Environ. Sci. Technol., 48, 7704, 10.1021/es500502q Feng, 2017, The driving force of water footprint under the rapid urbanization process: a structural decomposition analysis for Zhangye city in China, J. Clean. Prod., 163, s322, 10.1016/j.jclepro.2015.09.047 Freeman, 1979, Centrality in social networks: ii. Experimental results, Soc. Netw., 2, 119, 10.1016/0378-8733(79)90002-9 Freeman, 1991, Centrality in valued graphs: a measure of betweenness based on network flow, Soc. Netw., 13, 141, 10.1016/0378-8733(91)90017-N Freeman, 1977, A set of measures of centrality based on betweenness, Sociometry, 40, 35, 10.2307/3033543 Freeman, 1978, Centrality in social networks conceptual clarification, Soc. Netw., 1, 215, 10.1016/0378-8733(78)90021-7 GPDWR, 2012 Girvan, 2002, Community structure in social and biological networks, Proc. Natl. Acad. Sci. U. S. A., 99, 7821, 10.1073/pnas.122653799 Godfray, 2010, Food security: the challenge of feeding 9 billion people, Science, 327, 812, 10.1126/science.1185383 Hong, 2016, A multi-regional structural path analysis of the energy supply chain in China’s construction industry, Energy Policy, 92, 56, 10.1016/j.enpol.2016.01.017 Hubacek, 2009, Environmental implications of urbanization and lifestyle change in China: ecological and water footprints, J. Clean. Prod., 17, 1241, 10.1016/j.jclepro.2009.03.011 Kanemoto, 2014, International trade undermines national emission reduction targets: new evidence from air pollution, Glob. Environ. Chang., 24, 52, 10.1016/j.gloenvcha.2013.09.008 Lenzen, 2013, International trade of scarce water, Ecol. Econ., 94, 78, 10.1016/j.ecolecon.2013.06.018 Liang, 2015, Structure of the global virtual carbon network: revealing important sectors and communities for emission reduction, J. Ind. Ecol., 19, 307, 10.1111/jiec.12242 Liang, 2016, Betweenness-based method to identify critical transmission sectors for supply chain environmental pressure mitigation, Environ. Sci. Technol., 50, 1330, 10.1021/acs.est.5b04855 Liu, 2017, Improving agricultural water use efficiency: a quantitative study of Zhangye city using the static CGE model with a CES water-land resources account, Sustainability, 9, 308, 10.3390/su9020308 Lop, 2015, Identifying the role of final consumption in structural path analysis: an application to water uses, Ecol. Econ., 109, 203, 10.1016/j.ecolecon.2014.11.011 Moran, 2016, On the suitability of input–output analysis for calculating product-specific biodiversity footprints, Ecol. Indic., 60, 192, 10.1016/j.ecolind.2015.06.015 Oki, 2006, Global hydrological cycles and world water resources, Science, 313, 1068, 10.1126/science.1128845 Peterson, 2008, Using numerical methods to address water supply and reliability issues: discussion, Am. J. Agric. Econ., 90, 1350, 10.1111/j.1467-8276.2008.01229.x Rockström, 2009, Future water availability for global food production: the potential of green water for increasing resilience to global change, Water Resour. Res., 45, 10.1029/2007WR006767 Sun, 2016, The impact of land use change on water balance in Zhangye city China, Phys. Chem. Earth Parts A/B/C, 96, 64, 10.1016/j.pce.2016.06.004 Wang, 2013, An input–output approach to evaluate the water footprint and virtual water trade of Beijing, China. J. Clean Prod., 42, 172, 10.1016/j.jclepro.2012.11.007 Wiedmann, 2009, A review of recent multi-region input–output models used for consumption-based emission and resource accounting, Ecol. Econ., 69, 211, 10.1016/j.ecolecon.2009.08.026 Zhang, 2014, A multi-regional input–output analysis of domestic virtual water trade and provincial water footprint in China, Ecol. Econ., 100, 159, 10.1016/j.ecolecon.2014.02.006 Zhang, 2011, An Input-Output analysis of trends in virtual water trend and the impact on water resources and uses in China, Econ. Syst. Res., 23, 431, 10.1080/09535314.2011.636733 Zhang, 2015, Assessing the regional spatio-temporal pattern of water stress: a case study in Zhangye City of China, Phys. Chem. Earth Parts A/B/C, 79, 20, 10.1016/j.pce.2014.10.007 Zhang, 2017, Identifying primary energy requirements in structural path analysis: a case study of China 2012, Appl. Energy, 191, 425, 10.1016/j.apenergy.2017.01.066 Zhao, 2009, National water footprint in an input–output framework—a case study of China 2002, Ecol. Modell., 220, 245, 10.1016/j.ecolmodel.2008.09.016 Zhao, 2015, Physical and virtual water transfers for regional water stress alleviation in China, Proc. Natl. Acad. Sci. U. S. A., 112, 1031, 10.1073/pnas.1404130112