China's electricity market restructuring and technology mandates: Plant-level evidence for changing operational efficiency

China's electricity sector has experienced substantial efficiency improvement during the last one and a half decades. The recent literature has mostly attributed the efficiency improvement to the 2002 unbundling reform with little attention paid to the large scale retrofitting process introduced by technology mandates. Using a unique panel dataset for hundreds of power plants from 1997 to 2010, we are able to examine the contributions from technology mandates and market restructuring. We confirm the significant contributions from the unbundling reform but more importantly, technology mandates have contributed at least half of the observed efficiency improvement during this period. The results have significant implications for efficiency and demand forecast in the future.

[1]  P. W. Wilson,et al.  Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .

[2]  Richard F. Garbaccio,et al.  China's 11th Five-Year Plan and the Environment: Reducing SO2 Emissions , 2009, Review of Environmental Economics and Policy.

[3]  P. W. Wilson,et al.  Statistical Inference in Nonparametric Frontier Models: The State of the Art , 1999 .

[4]  Virginia Hughes Public health: Where there's smoke , 2012, Nature.

[5]  Limin Du,et al.  Assessing the impact of regulatory reforms on China's electricity generation industry , 2009 .

[6]  Hongliang Yang,et al.  Incorporating Both Undesirable Outputs and Uncontrollable Variables into Dea: the Performance of Chinese Coal-fired Power Plants Incorporating Both Undesirable Outputs and Uncontrollable Variables into Dea: the Performance of Chinese Coal-fired Power Plants , 2007 .

[7]  Chunbo Ma,et al.  From State Monopoly to Renewable Portfolio: Restructuring China's Electric Utility , 2008 .

[8]  S. R. Sethi,et al.  State Electricity Regulatory Commission , 2012 .

[9]  Johannes Van Biesebroeck,et al.  Effects of Deregulation and Vertical Unbundling on the Performance of China's Electricity Generation Sector , 2011, The Journal of industrial economics.

[10]  D. Reifschneider,et al.  SYSTEMATIC DEPARTURES FROM THE FRONTIER: A FRAMEWORK FOR THE ANALYSIS OF FIRM INEFFICIENCY* , 1991 .

[11]  Limin Du,et al.  The effects of electricity reforms on productivity and efficiency of China's fossil-fired power plants: An empirical analysis , 2013 .

[12]  P. W. Wilson,et al.  Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models , 1998 .

[13]  Alice Shiu,et al.  Efficiency and Productivity of China's Thermal Power Generation , 2004 .

[14]  Judith Gurney BP Statistical Review of World Energy , 1985 .

[15]  Jeff Tollefson China: Stoking the fire , 2008, Nature.

[16]  Michael G. Pollitt,et al.  Ownership and Performance in Electric Utilities , 1998 .

[17]  Zbigniew Klimont,et al.  Anthropogenic sulfur dioxide emissions: 1850–2005 , 2010 .

[18]  L. Hiebert,et al.  The Determinants of the Cost Efficiency of Electric Generating Plants: A Stochastic Frontier Approach , 2002 .

[19]  Léopold Simar,et al.  Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications , 2007 .

[20]  Xiaoli Zhao,et al.  Deregulation, vertical unbundling and the performance of China's large coal-fired power plants ☆ , 2013 .

[21]  P. Aldhous Energy: China's burning ambition , 2005, Nature.

[22]  Michael T. Maloney,et al.  Economies and Diseconomies: Estimating Electricity Cost Functions , 2001 .

[23]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[24]  Paul L. Joskow,et al.  Digitized by the Internet Archive in 2011 with Funding from Working Paper Department of Economics the Performance of Coal-buruing Electric Generating Units in the United States: 1960-1980 , 2022 .

[25]  L. Drake,et al.  Where there's smoke. , 2004, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[26]  Andrew Hughes,et al.  Sensitivity and dimensionality tests of DEA efficiency scores , 2004, Eur. J. Oper. Res..