CSpace
Coupling Structural Decomposition Analysis and Sensitivity Analysis to Investigate CO2 Emission Intensity in China
Li, Ling1; Tang, Ling2; Zhang, Junrong3,4
2019-06-02
Source PublicationENERGIES
ISSN1996-1073
Volume12Issue:12Pages:23
AbstractA 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%).
KeywordCO2 emission intensity Structural decomposition analysis SDA Sensitivity analysis Input-output model China
DOI10.3390/en12122396
Language英语
Funding ProjectNational 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 Research AreaEnergy & Fuels
WOS SubjectEnergy & Fuels
WOS IDWOS:000473821400169
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/35125
Collection中国科学院数学与系统科学研究院
Corresponding AuthorTang, Ling
Affiliation1.Capital Univ Econ & Business, Int Sch Econ & Management, Beijing 100070, Peoples R China
2.Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Ling]'s Articles
[Tang, Ling]'s Articles
[Zhang, Junrong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Ling]'s Articles
[Tang, Ling]'s Articles
[Zhang, Junrong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Ling]'s Articles
[Tang, Ling]'s Articles
[Zhang, Junrong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.