Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model

被引:12
作者
Barros, Carlos Pestana [1 ,2 ]
Chen, Zhongfei [3 ]
Managi, Shunsuke [4 ]
Antunes, Olinda Sequeira [1 ,2 ]
机构
[1] Univ Tecn Lisboa, Inst Super Econ & Gestao, P-1249078 Lisbon, Portugal
[2] UECE Res Unit Complex & Econ, P-1249078 Lisbon, Portugal
[3] Sun Yat Sen Univ, Lingnan Coll, Guangzhou 510275, Guangdong, Peoples R China
[4] Tohoku Univ, Grad Sch Environm Studies, Aoba Ku, Sendai, Miyagi 9808579, Japan
关键词
Efficiency; Electricity utilities; China; STOCHASTIC FRONTIER ANALYSIS; ELECTRICITY DISTRIBUTION; ENERGY EFFICIENCY; UNOBSERVED HETEROGENEITY; EMISSION PERFORMANCE; TECHNICAL EFFICIENCY; EMPIRICAL-ANALYSIS; GENERATING PLANTS; POWER-GENERATION; CO2; EMISSIONS;
D O I
10.1016/j.eneco.2012.10.007
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper evaluates the operational activities of Chinese hydroelectric power companies over the period 2000-2010 using a finite mixture model that controls for unobserved heterogeneity. In so doing, a stochastic frontier latent class model, which allows for the existence of different technologies, is adopted to estimate cost frontiers. This procedure not only enables us to identify different groups among the hydro-power companies analysed, but also permits the analysis of their cost efficiency. The main result is that three groups are identified in the sample, each equipped with different technologies, suggesting that distinct business strategies need to be adapted to the characteristics of China's hydro-power companies. Some managerial implications are developed. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:511 / 517
页数:7
相关论文
共 52 条
[41]   Electricity consumption and economic growth in China [J].
Shiu, A ;
Lam, PL .
ENERGY POLICY, 2004, 32 (01) :47-54
[42]   DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation [J].
Sueyoshi, Toshiyuki ;
Goto, Mika .
ENERGY ECONOMICS, 2011, 33 (02) :292-303
[43]   Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis [J].
Vaninsky, A .
ENERGY ECONOMICS, 2006, 28 (03) :326-338
[44]  
Varian H.R., 1987, INTERMEDIATE MICROEC
[45]   A comparative analysis of China's regional energy and emission performance: Which is the better way to deal with undesirable outputs? [J].
Wang, Ke ;
Wei, Yi-Ming ;
Zhang, Xian .
ENERGY POLICY, 2012, 46 :574-584
[46]   Empirical Analysis of Provincial Energy Efficiency in China [J].
Wei, Chu ;
Ni, Jinlan ;
Shen, Manhong .
CHINA & WORLD ECONOMY, 2009, 17 (05) :88-103
[47]   A RESOURCE-BASED VIEW OF THE FIRM [J].
WERNERFELT, B .
STRATEGIC MANAGEMENT JOURNAL, 1984, 5 (02) :171-180
[48]   Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis [J].
Wu, F. ;
Fan, L. W. ;
Zhou, P. ;
Zhou, D. Q. .
ENERGY POLICY, 2012, 49 :164-172
[49]  
Yeoh B.-S., 2004, ELECT J, V17, P60
[50]   Decomposition of aggregate CO2 emissions:: A production-theoretical approach [J].
Zhou, P. ;
Ang, B. W. .
ENERGY ECONOMICS, 2008, 30 (03) :1054-1067