中国各省火电行业的技术效率及其提升方向——基于三阶段DEA模型的分析
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财经研究 2008 年 第 34 卷第 10 期, 页码：16 - 26
摘要
参考文献
摘要
文章利用DEA三阶段分析法对2004年中国30个省(自治区、直辖市)火电行业进行了排除环境变量和统计噪音影响的技术效率分析,结果表明很多省份火电行业效率水平的确受到地区经济发展水平、资源禀赋等环境变量和好坏运气的影响,在同质经营环境下规模效率不高的问题更为突出。根据纯技术效率和规模效率的水平,文章将中国各省火电行业的发展分为四种类型,并针对13个纯技术效率并非完全有效的省,提出资金节约型、资源节约型、劳动力节约型和环境友好型四种提升模式,最后得出上大压小、严格资源的集约利用标准等宏观政策建议。
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[5]Pablo Arocena.Cost and quality gains from diversification and vertical integration in theelectricity industry:A DEA approach[J].Energy Economics,2008,(30):39-58.
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[7]Carlos Pestana Barros.Efficiency analysis of hydroelectric generating plants:A casestudy for Portugal[J].Energy Economics,2008,30:59-75.
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[9]Pekka J Korhonen,Mikulas Luptacik.Eco-efficiency analysis of power plants:An ex-tension of data envelopment analysis[J].European Journal of Operational Re-search.2004,154:437-446.
[10]H O Fried,C A K Lovell,S S Schmidt,S Yaisawarng.Accounting for environmentaleffects and statistical noise in data envelopment analysis[J].Journal of Productivity A-nalysis,2002,17:157-174.60-66.
[11]罗道平,肖笛.数据包络分析(DEA)在电力工业的应用[J].系统工程与实践,1996,(4):60-66.
[12]滕飞,吴宗鑫.中国电力企业的绩效分析[J].数量经济技术经济研究,2003,(6):127-130.
[13]吴育华,甘世雄.电力工业效率分析与实证研究[J].武汉理工大学学报,2004,(8):90-92.
[14]楼旭明,窦彩兰,汪贵浦.基于DEA的中国电力改革绩效相对有效性评价[J].当代财经,2006,(4):90-93.
[15]王金祥,吴育华.基于超效率DEA模型的电力公司效率评价[J].东北电力学院学报,2004,(4):22-25.
[16]谢洪军,任玉珑.中国电力产业市场化与环境绩效——基于DEA的分析[J].科技管理研究,2006,(9):53-54.
[17]Simar L,Wilson P.Estimation and inference in two-stage,semi-parametric models ofproduction processes[J].Journal of Econometrics,2007,136:31-64.
①感兴趣者参见Coelli等(1998)。
②③限于篇幅,结果省略。
[2]Kemal Sarica Ilhan Or.Efficiency assessment of Turkish power plants using data envel-opment analysis[J].Energy,2007,32:1484-1499.
[3]Antonio Estachea,Beatriz Tovarc,Lourdes Trujillo.How efficient are African electrici-ty companies?Evidence from the Southern African countries[J].Energy Policy,2008,36:1969-1979.
[4]Kaoru Tonea,Miki Tsutsuia.Decomposition of cost efficiency and its application to Jap-anese-US electric utility comparisons.Socio-Economic Planning Sciences[J].2007,41:91-106.
[5]Pablo Arocena.Cost and quality gains from diversification and vertical integration in theelectricity industry:A DEA approach[J].Energy Economics,2008,(30):39-58.
[6]Pun-Lee Lam,Alice Shiu.A data envelopment analysis of the efficiency of China’s ther-mal power generation[J].Utilities Policy,2001,(2):75-83.
[7]Carlos Pestana Barros.Efficiency analysis of hydroelectric generating plants:A casestudy for Portugal[J].Energy Economics,2008,30:59-75.
[8]Toru Hattori.Relative performance of U.S.and Japanese electricity distribution:Anapplication of stochastic frontier analysis[J].Journal of Productivity Analysis,2002,18:269-284.
[9]Pekka J Korhonen,Mikulas Luptacik.Eco-efficiency analysis of power plants:An ex-tension of data envelopment analysis[J].European Journal of Operational Re-search.2004,154:437-446.
[10]H O Fried,C A K Lovell,S S Schmidt,S Yaisawarng.Accounting for environmentaleffects and statistical noise in data envelopment analysis[J].Journal of Productivity A-nalysis,2002,17:157-174.60-66.
[11]罗道平,肖笛.数据包络分析(DEA)在电力工业的应用[J].系统工程与实践,1996,(4):60-66.
[12]滕飞,吴宗鑫.中国电力企业的绩效分析[J].数量经济技术经济研究,2003,(6):127-130.
[13]吴育华,甘世雄.电力工业效率分析与实证研究[J].武汉理工大学学报,2004,(8):90-92.
[14]楼旭明,窦彩兰,汪贵浦.基于DEA的中国电力改革绩效相对有效性评价[J].当代财经,2006,(4):90-93.
[15]王金祥,吴育华.基于超效率DEA模型的电力公司效率评价[J].东北电力学院学报,2004,(4):22-25.
[16]谢洪军,任玉珑.中国电力产业市场化与环境绩效——基于DEA的分析[J].科技管理研究,2006,(9):53-54.
[17]Simar L,Wilson P.Estimation and inference in two-stage,semi-parametric models ofproduction processes[J].Journal of Econometrics,2007,136:31-64.
①感兴趣者参见Coelli等(1998)。
②③限于篇幅,结果省略。
引用本文
白雪洁, 宋莹. 中国各省火电行业的技术效率及其提升方向——基于三阶段DEA模型的分析[J]. 财经研究, 2008, 34(10): 16–26.
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