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
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页数:11
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