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