文献类型：期刊文献

英文题名：A two-tiered attribution structural decomposition analysis to reveal drivers at both sub-regional and sectoral levels: A case study of energy consumption in the Jing-Jin-Ji region

作者：Yu, Yadong[1,2];Liang, Sai[3];Zhou, Wenji[4];Ren, Hongtao[1];Kharrazi, Ali[4];Zhu, Bing[2,4]

机构：[1]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;[2]Tsinghua Univ, Dept Chem Engn, Tsinghua Garden Rd 1, Beijing 100084, Peoples R China;[3]Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100875, Peoples R China;[4]Int Inst Appl Syst Anal, Schlosspl 1, A-2361 Laxenburg, Austria

年份：2019

卷号：213

起止页码：165

外文期刊名：JOURNAL OF CLEANER PRODUCTION

收录：;EI(收录号：20190206360897);WOS:【SSCI(收录号:WOS:000461132600014)，SCI-EXPANDED(收录号:WOS:000461132600014)】；

基金：The authors declare no conflicts of interests to this work. This research was funded by the Social Science and Humanity on Young Fund of the ministry of Education (15YJC790136), National Social Science Foundation of China (15ZDB161), and the National Nature Science Foundation of China (71874014, 71704055, 71690244, 71571069, 41661144023).

语种：英文

外文关键词：Structural decomposition analysis; Multi-regional level; Environmental pressure; Driving force; Attribution analysis

摘要：Structural decomposition analysis (SDA) is a very commonly used method for exploring the driving forces of environmental pressure (EP). Enhanced with attribution analysis, SDA can further decompose the driving forces of EP into economic sectors or sub-regions and provide more detailed evidence-based policymaking. However, current studies of SDA with attribution analysis have not been sufficiently developed and are only one-tiered, i.e., they decompose the driving forces of EP into either a sub-regional or an economic sectoral level. In this study, we introduce a method of SDA with a two-tiered attribution analysis, which is capable of 1) exploring the driving force of environmental pressure at a multi-regional level and 2) further decomposing the driving forces of EP into both sub-regions and economic sectors. Based on this method, we explore the driving forces for the change of energy consumption in the Jing-Jin-Ji region during the period of 2007-2012. Results of this case study indicate that technological change, final demand structure, and final demand composition respectively contributed -129%, 12%, and -3% while affluence, production structure, total population, and population structure respectively contributed 129%, 77%, 38%, and 2% to energy consumption change in the region. In terms of sub-regional and economic sectoral level contributions, Hebei province and the chemical and smelting and rolling of metals industries were the most prominent contributors. Through this case study, we situate the strengths and limitations of the two-tiered attribution SDA method and propose key policy suggestions and future research directions. (C) 2018 Elsevier Ltd. All rights reserved.