Decomposing Aggregate CO2 Emission Changes with Heterogeneity: An Extended Production-theoretical Approach

被引:50
|
作者
Wang, H. [1 ]
Ang, B. W. [1 ]
Zhou, P. [2 ,3 ]
机构
[1] Natl Univ Singapore, Dept Ind & Syst Engn, 10 Kent Ridge Crescent, Singapore 119260, Singapore
[2] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, 29 Jiangjun Ave, Nanjing 211106, Jiangsu, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Res Ctr Soft Energy Sci, 29 Jiangjun Ave, Nanjing 211106, Jiangsu, Peoples R China
来源
ENERGY JOURNAL | 2018年 / 39卷 / 01期
基金
中国国家自然科学基金;
关键词
Production-theoretical decomposition analysis; Non-parametric frontier; Index number; Heterogeneity; China; INDEX NUMBER-THEORY; ENERGY EFFICIENCY; EMPIRICAL APPLICATION; STRUCTURAL-CHANGE; CHINA; PERFORMANCE; INTENSITY; DEMAND; PERFECT; GROWTH;
D O I
10.5547/01956574.39.1.hwan
中图分类号
F [经济];
学科分类号
02 ;
摘要
Quantifying the driving forces behind changes in aggregate CO2 emissions provides valuable information for supporting policy making in addressing climate change. We study this issue using the production-theoretical decomposition analysis (PDA) technique. Within a production theory framework, PDA examines CO2 emission changes from the perspective of productive efficiency. Although regional and sectoral heterogeneities in energy consumption and emission patterns prevail, they have not been taken into account in the PDA literature. By incorporating relevant decomposition methods, this study proposes an extended PDA approach to resolving the heterogeneity issue. The approach is applied to examine China's aggregate CO2 emission changes in its 11th five-year plan period (20052010). By accounting for the heterogeneities, detailed results at the regional and sectoral levels are generated and further discussions presented.
引用
收藏
页码:59 / 79
页数:21
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