Improve technical efficiency of China's coal-fired power enterprises: Taking a coal-fired-withdrawl context

被引:14
作者
Gao, Li [1 ]
Li, Ruonan [1 ]
Mei, Yingdan [1 ,2 ]
Zhao, Xiaoli [1 ]
机构
[1] China Univ Petr, Sch Econ & Management, Beijing, Peoples R China
[2] 18 Fuxue Rd, Beijing 102249, Peoples R China
基金
中国国家自然科学基金;
关键词
Coal-fired power enterprises; Technical efficiency; Stochastic frontier analysis; China; STOCHASTIC FRONTIER ANALYSIS; ENVIRONMENTAL EFFICIENCY; ELECTRICITY-GENERATION; UNDESIRABLE OUTPUTS; PANEL-DATA; PLANTS; PERFORMANCE; EMISSIONS; ENERGY; HETEROGENEITY;
D O I
10.1016/j.energy.2022.123979
中图分类号
O414.1 [热力学];
学科分类号
摘要
In the process of energy transition, reference standards are needed to guide the orderly withdrawal of coal-fired power enterprises. This study applies stochastic frontier analysis to measure the technical efficiency, as the reference standard, based on data from all coal-fired power enterprises of a large Chinese power generation group from 2010 to 2015. Meanwhile, in order to make more specific policy recommendations, this paper provides a detailed analysis of the technical efficiency in three aspects: return to scale, operation hours, and regional characteristics. The empirical results show that the average technical efficiency of coal-fired power enterprises is 0.818, which still leaves room for improvement of about 20%; the industry shows slightly decreasing return to scale, which primarily results from enterprises with larger capacity but less operation hours; correlation between efficiency and operation hours varies widely among regions, with South and Northwest China in the greatest need of improving the generation assignment approach; finally, unit coal reduction and equity increase are important ways to improve technical efficiency, and older power enterprises and larger units have greater potential for high-quality power supply. The findings will serve as a reference for policy makers to promote a more effective planning of coal-fired power industry in China.(c) 2022 Published by Elsevier Ltd.
引用
收藏
页数:11
相关论文
共 58 条
[1]   Does economic, financial and institutional developments matter for environmental quality? A comparative analysis of EU and MEA countries [J].
Abid, Mehdi .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 188 :183-194
[2]  
Battese G.E., 1992, J. Prod. Anal., V3, P153, DOI [10.1007/BF00158774, DOI 10.1007/BF00158774]
[3]   PREDICTION OF FIRM-LEVEL TECHNICAL EFFICIENCIES WITH A GENERALIZED FRONTIER PRODUCTION FUNCTION AND PANEL DATA [J].
BATTESE, GE ;
COELLI, TJ .
JOURNAL OF ECONOMETRICS, 1988, 38 (03) :387-399
[4]  
Battese GE, 1995, J Empirical Econ, V20, P325, DOI [DOI 10.1007/BF01205442, 10.1007/BF01205442]
[5]   Stochastic frontier analysis using Stata [J].
Belotti, Federico ;
Daidone, Silvio ;
Ilardi, Giuseppe ;
Ate, Vincenzo .
STATA JOURNAL, 2013, 13 (04) :719-758
[6]   Returns to scale in electricity generation: Replicated and revisited [J].
Bernstein, David H. ;
Parmeter, Christopher F. .
ENERGY ECONOMICS, 2019, 82 :4-15
[7]  
Boyd GA, 2008, ENERG J, V29, P23
[8]   A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies [J].
Chen, Zhongfei ;
Barros, Carlos Pestana ;
Borges, Maria Rosa .
ENERGY ECONOMICS, 2015, 48 :136-144
[9]   PRODUCTION FRONTIERS WITH CROSS-SECTIONAL AND TIME-SERIES VARIATION IN EFFICIENCY LEVELS [J].
CORNWELL, C ;
SCHMIDT, P ;
SICKLES, RC .
JOURNAL OF ECONOMETRICS, 1990, 46 (1-2) :185-200
[10]   THE COEFFICIENT OF RESOURCE UTILIZATION [J].
Debreu, Gerard .
ECONOMETRICA, 1951, 19 (03) :273-292