期刊
ENVIRONMENTAL & RESOURCE ECONOMICS
卷 70, 期 1, 页码 107-130出版社
SPRINGER
DOI: 10.1007/s10640-017-0112-0
关键词
Energy efficiency; Club convergence; SBM; EBM; China
资金
- National Natural Science Foundation of China [41571524]
- National Social Science Foundation of China [14ZDB144]
- Collaborative Innovation Center for the Development of Modern Services
- New Urbanization in Hunan Province and Vice-Chancellor's Research Awards for Early Career Investigators at the University of Western Australia
This paper examines alternative hypotheses of beta convergence for different measures of energy efficiency. We collect a novel set of prefecture-level data that substantially extend the breadth of the datasets ever used in this literature. GMM estimators are then used to empirically test the national and club convergence of energy efficiency among these prefectures. We find strong evidence for prefecture-level national and club convergence in energy efficiency. In particular, the listed key environmental protection (KEP) prefectures, prefectures in central and western regions and prefectures not listed as resource-based (RB) converge faster than the non-KEP prefectures, prefectures in eastern region and RB prefectures. Sensitivity analyses suggest that these results are robust to alternative measures of energy efficiency and GMM specifications.
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