Carbon emission efficiency in China: A spatial panel data analysis
Guofeng Wang,
Xiangzheng Deng,
Jingyu Wang,
Fan Zhang and
Shiqi Liang
China Economic Review, 2019, vol. 56, issue C, -
Abstract:
Regional cooperation has become a new direction for China development. Indeed, carbon emission reduction is especially important to combat Climate change. In this paper, we use Direction Distance Function to estimate the overall carbon emission efficiency. We empirically estimate the spatial Moran'I and LISA cluster in China from 2005 to 2016. Our results show carbon emission efficiency presents the spatial pattern of gradually decreasing in “Eastern, Central, Western” and symmetrical distribution in “Southern, Central, Northern” of China. High efficiency spatial cluster areas mainly concentrate on the mid-east coastal provinces, which technical level and policies are better than those of the inland among the factors influencing carbo emission efficiency, energy structure, technology and urbanization have a significant impact. This paper will provide some scientific support to solve cooperation between province to combat carbon emission.
Keywords: Regional cooperation; Carbon risks; Carbon emission efficiency; Cluster analysis (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (43)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1043951X19300744
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chieco:v:56:y:2019:i:c:10
DOI: 10.1016/j.chieco.2019.101313
Access Statistics for this article
China Economic Review is currently edited by B.M. Fleisher, K. X. D. Huang, M.E. Lovely, Y. Wen, X. Zhang and X. Zhu
More articles in China Economic Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().