A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies

被引：50
作者：
Chen, Zhongfei [1 ]
Barros, Carlos Pestana [2 ]
Borges, Maria Rosa [2 ]
机构：
[1] Sun Yat Sen Univ, Lingnan Coll, Guangzhou 510275, Guangdong, Peoples R China
[2] Univ Lisbon, Inst Super Econ & Gestao, P-1249078 Lisbon, Portugal
来源：
ENERGY ECONOMICS | 2015年 / 48卷
关键词：
China; Fossil-fuel electricity generation companies; Stochastic frontier analysis; Efficiency; ENERGY EFFICIENCY; TECHNICAL EFFICIENCY; POWER-GENERATION; COST-EFFICIENCY; CO2; EMISSIONS; UNOBSERVED HETEROGENEITY; EMPIRICAL-ANALYSIS; BUSINESS GROUPS; PRODUCTIVITY; DEA;
D O I：
10.1016/j.eneco.2014.12.020
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper analyses the technical efficiency of Chinese fossil-fuel electricity generation companies from 1999 to 2011, using a Bayesian stochastic frontier model. The results reveal that efficiency varies among the fossil-fuel electricity generation companies that were analysed. We also focus on the factors of size, location, government ownership and mixed sources of electricity generation for the fossil-fuel electricity generation companies, and also examine their effects on the efficiency of these companies. Policy implications are derived. (C) 2015 Elsevier B.V. All rights reserved.
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页码：136 / 144
页数：9
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