Total-factor energy efficiency with congestion

被引:0
作者
P. Zhou
F. Wu
D. Q. Zhou
机构
[1] Nanjing University of Aeronautics and Astronautics,College of Economics and Management
[2] Nanjing University of Aeronautics and Astronautics,Research Centre for Soft Energy Science
来源
Annals of Operations Research | 2017年 / 255卷
关键词
Energy efficiency; Congestion; Data envelopment analysis; Index;
D O I
暂无
中图分类号
学科分类号
摘要
Total-factor energy efficiency (TFEE) assessment has received increasing attention in both operations research and energy economics communities. Earlier TFEE studies implicitly assume that production activity lies in the economic area, which precludes the possibility that the production activity lies in the non-economic area and thus suffers from congestion. This paper contributes to develop TFEE index by taking into account congestion effect. It starts with the definition of congested production technology, based on which several data envelopment analysis models are proposed to construct TFEE index with congestion. The models for quantifying energy inefficiency caused by congestion effect are also developed. We apply the proposed index to evaluate the energy efficiency performance of Chinese industrial sectors at province level in 2010–2012. It is found that TFEE with congestion can yield useful insights about the choice of proper ways to achieve energy efficiency improvement. A comparison with the empirical results under congestion-free production technology indicates that ignoring congestion effect may lead to significantly different TFEE scores when congestion effect does exist.
引用
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页码:241 / 256
页数:15
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共 102 条
[1]  
Ang BW(2010)Accounting frameworks for tracking energy efficiency trends Energy Economics 32 1209-1219
[2]  
Mu AR(2013)Track industrial energy efficiency trends using index decomposition analysis Energy Economics 40 1014-1021
[3]  
Zhou P(2015)Multi-country comparisons of energy performance: The index decomposition analysis approach: The index decomposition analysis approach Energy Economics 47 68-76
[4]  
Ang BW(2014)Does environmental regulation affect energy efficiency in China’s thermal power generation? Empirical evidence from a slacks-based DEA model Energy Policy 66 537-546
[5]  
Xu XY(2013)Estimation of potential energy saving and carbon dioxide emission reduction in China based on an extended non-radial DEA approach Energy Policy 63 962-971
[6]  
Ang BW(2014)Estimating the changes in the distribution of energy efficiency in the U.S. automobile assembly industry Energy Economics 42 81-87
[7]  
Xu XY(2000)Estimating the linkage between energy efficiency and productivity Energy Policy 28 289-296
[8]  
Su B(2014)Evaluating eco-efficiency with data envelopment analysis: An analytical re-examination Annals of Operations Research 214 49-71
[9]  
Bi GB(2001)Alternative treatment of congestion in DEA: A rejoinder to Cooper, Gu, and Li European Journal of Operational Research 132 75-80
[10]  
Song W(2013)A study of energy efficiency of transport sector in China from 2003 to 2009 Applied Energy 112 1066-1077