Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO2 Emission Intensity in China
文献类型:期刊论文
作者 | Li, Ling4; Tang, Ling3; Zhang, Junrong1,2 |
刊名 | ENERGIES
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出版日期 | 2019-06-02 |
卷号 | 12期号:12页码:23 |
关键词 | CO2 emission intensity Structural decomposition analysis SDA Sensitivity analysis Input-output model China |
ISSN号 | 1996-1073 |
DOI | 10.3390/en12122396 |
英文摘要 | A coupled structural decomposition analysis (SDA) and sensitivity analysis approach is developed to explore the drivers of China's CO2 emission intensity at both general and sectoral levels and from both ex-post and ex-ante perspectives. Two steps are involved-structural decomposition and sensitivity analysis. First, the popular factor decomposition method, SDA, is implemented to identify which drivers have made the largest contribution to emission intensity changes. Second, an emerging ex-ante approach, sensitivity analysis, is introduced to answer how and to what extent such drivers will influence future emission intensity at a sectoral level. Based on China's input-output tables for 1997-2012, the empirical study provides a hotspot map of China's energy system. (1) Direct-emission coefficient and technology coefficient are observed as the top two overall drivers. (2) For the former, reducing direct-emission coefficient in an emission-intensity sector (e.g., electricity and heat sectors) by 1% will mitigate China's total emission intensity by at least 0.05%. (3) For the latter, future emission intensity is super-sensitive to direct transactions in emission-intensity sectors (particularly the chemical industry with elasticities up to 0.82%). |
资助项目 | National Science Fund for Outstanding Young Scholars[71622011] ; National Natural Science Foundation of China[71301006] ; National Program on Key Research Project of China[2016YFF0204405] ; Beijing Social Science Foundation of China[14JGC094] |
WOS研究方向 | Energy & Fuels |
语种 | 英语 |
WOS记录号 | WOS:000473821400169 |
出版者 | MDPI |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/35124] ![]() |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Tang, Ling |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China 4.Capital Univ Econ & Business, Int Sch Econ & Management, Beijing 100070, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Ling,Tang, Ling,Zhang, Junrong. Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO2 Emission Intensity in China[J]. ENERGIES,2019,12(12):23. |
APA | Li, Ling,Tang, Ling,&Zhang, Junrong.(2019).Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO2 Emission Intensity in China.ENERGIES,12(12),23. |
MLA | Li, Ling,et al."Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO2 Emission Intensity in China".ENERGIES 12.12(2019):23. |
入库方式: OAI收割
来源:数学与系统科学研究院
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