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

Zhongfei Chen, Carlos Barros and Maria Borges ()

Energy Economics, 2015, vol. 48, issue C, 136-144

Abstract: 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.

Keywords: China; Fossil-fuel electricity generation companies; Stochastic frontier analysis; Efficiency (search for similar items in EconPapers)
JEL-codes: C11 D22 O13 O14 Q43 Q48 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (26)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:48:y:2015:i:c:p:136-144

DOI: 10.1016/j.eneco.2014.12.020

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