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A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Fossil-fuel Electricity Generation Companies Stochastic Frontier Analysis Efficiency
Contexto Educativo
Citação
Chen, Zhongfei; Carlos Pestana Barros and Maria Rosa Borges .(2015). “A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies”. Energy Economics, Vol. 48 : pp. 136-144.
Editora
Elsevier