文献类型：期刊文献

英文题名：Improving Subnational Input-Output Analyses Using Regional Trade Data: A Case-Study and Comparison

作者：Jiang, Meng[1];Liu, Lin[1];Behrens, Paul[2,3];Wang, Tao[1];Tang, Zhipeng[4];Chen, Dingjiang[1,5];Yu, Yadong[6];Ren, Zijian[1];Zhu, Shengjun[7];Tukker, Arnold[2,9];Zhu, Bing[1,5,8]

机构：[1]Tsinghua Univ, Dept Chem Engn, Beijing 100084, Peoples R China;[2]Leiden Univ, Inst Environm Sci CML, Einsteinweg 2, NL-2333 CC Leiden, Netherlands;[3]Leiden Univ Coll, NL-2595 DG The Hague, Netherlands;[4]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China;[5]Tsinghua Univ, Inst Circular Econ, Beijing 100084, Peoples R China;[6]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[7]Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China;[8]Int Inst Appl Syst Anal, Energy Program, Schlosspl 1, A-2361 Laxenburg, Austria;[9]Netherlands Org Appl Sci Res TNO, NL-2595 DA The Hague, Netherlands

年份：2020

卷号：54

期号：19

起止页码：12732

外文期刊名：ENVIRONMENTAL SCIENCE & TECHNOLOGY

收录：;EI(收录号：20204609492447);WOS:【SSCI(收录号:WOS:000580444600111)，SCI-EXPANDED(收录号:WOS:000580444600111)】；

基金：The authors would like to acknowledge the support of the National Natural Science Foundation of China Grants (41661144023 and 71690244). EXIOBASE v3 used in this paper was developed with funding of the European Commission, Seventh Framework Programme (FP7), grant number 308552, Development of a System of Indicators for a Resource Efficient Europe (DESIRE) project.

语种：英文

外文关键词：Environmental management

摘要：Environmentally extended input-output analysis (EE-IO) is widely used for evaluating environmental performance (i.e., footprint) at a national level. Many studies have extended their analyses to the subnational level to guide regional policies. One promising method is to embed nationally disaggregated input-output tables, e.g., nesting a provincial level table, into a global multiregional input-output table. However, a widely used approach to environmental assessment generally disaggregates the trade structure at the national level to the provincial level using the same proportions (proportionality assumption). This means that the subnational spatial heterogeneities on international trade are not fully captured. By calculating the Chinese provincial material footprint (MF) based on two approaches-the proportionality assumption and the actual customs statistics.in the same framework, we evaluate the quantitative differences when the proportionality assumption is addressed. By computing MF for 23 aggregated resources across 30 Chinese provinces, our results show for countries with large material flows like China, estimating subnational-level international trade by proportionality assumption may lead to significant differences in material flows at both the disaggregated and aggregated levels. An important follow-up question is whether these differences are also relevant for other footprints.