文献类型：期刊文献

英文题名：Undesirable and desirable energy congestion measurements for regional coal-fired power generation industry in China

作者：Chen, Zhenling[1,2];Li, Jinkai[1];Zhao, Weigang[3];Yuan, Xiao-Chen[3,4];Yang, Guo-liang[5,6]

第一作者：Chen, Zhenling;陈真玲

通讯作者：Li, JK[1];Zhao, WG[2]

机构：[1]Zhengzhou Univ, Ctr Energy Environm & Econ Res, Zhengzhou 450001, Henan, Peoples R China;[2]Henan Univ Econ & Law, Sch Econ, Zhengzhou 450046, Henan, Peoples R China;[3]Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China;[4]Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China;[5]Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China;[6]Univ Chinese Acad Sci, Beijing 100049, Peoples R China

第一机构：Zhengzhou Univ, Ctr Energy Environm & Econ Res, Zhengzhou 450001, Henan, Peoples R China

通讯机构：[1]corresponding author), Zhengzhou Univ, Ctr Energy Environm & Econ Res, Zhengzhou 450001, Henan, Peoples R China;[2]corresponding author), Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China.

年份：2019

卷号：125

起止页码：122-134

外文期刊名：ENERGY POLICY

收录：;EI(收录号：20184506051670);Scopus(收录号：2-s2.0-85056172063);WOS:【SSCI(收录号:WOS:000456758600012)，SCI-EXPANDED(收录号:WOS:000456758600012)】；

基金：The authors are grateful for the financial support from the National Natural Science Foundation of China (71704047, 71601020, 71704009, 71473070), the Science Foundation of Ministry of Education of China (17YJC90015), the China Postdoctoral Science Foundation (2017M620821) the Young Talents Fund of Henan University of Economics and Law, the Fundamental Research Funds for the Central Universities (FRF-BD-17-008A), the Education Department of Henan Humanities and Social Sciences Research Foundation (17A790003).

语种：英文

外文关键词：Energy congestion; Desirable energy congestion; Undesirable energy congestion; Natural disposability; Managerial disposability

摘要：The blind expansion and increasing carbon emissions of the coal-fired power generation industry in China have attracted wide attention at home and abroad. To detect the technical ineffectiveness in the coal-fired power generation industry and the effects of carbon emission reductions, this study developed energy congestion models using data envelopment analysis (DEA). Energy congestion is classified into undesirable energy congestion (UEC) and desirable energy congestion (DEC) under natural disposability and managerial disposability. The UEC and DEC models were used to identify energy congestion, measure the amounts of UEC and DEC, and analyze the sources of inefficiency for regional coal-fired generation industry in China from 2004 to 2013. Our empirical analysis revealed: i) The UEC of coal-fired generation industry has occurred in many regions, most of which are less-developed areas. This indicates that energy is wasted in coal-fired generation industry due to congestion inefficiency. ii) DEC has occurred in a few regions and did not occur in 2013. These provinces where DEC occurred may have a high potential for eco-technology innovation. The method of energy congestion measurement proposed in this study and the research conclusion have reference effect on regional energy conservation and eco-technology innovation.