遇见数据集

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

收藏
Mendeley Data2024-06-25 更新2024-06-26 收录
官方服务:

资源简介:

Abstract of associated article: 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.

相关论文摘要:本文采用贝叶斯随机前沿模型(Bayesian stochastic frontier model),对1999至2011年中国化石燃料发电企业的技术效率展开分析。研究结果表明,本次分析的化石燃料发电企业之间技术效率存在差异。本文同时聚焦于化石燃料发电企业的规模、区位、政府持股以及多元化发电结构等因素,并检验了这些因素对企业技术效率的影响,最终得出相应的政策启示。

创建时间:
2024-01-23
二维码
社区交流群
二维码
科研交流群
商业服务