Productivity growth and biased technological change in hydroelectric dams

This paper analyses productivity growth and the nature of technical change in a sample of Portuguese hydroelectric generating plants over the period 2001 to 2008. In a first step, we employ the Luenberger productivity indicator to estimate and decompose productivity change. A Malmquist productivity index is also used for a comparative purpose. The results paint a picture of mixed productivity performance in the Portuguese energy sector. The first decomposition underlines that, in average, the productivity variation is explained by the technological change. Then, in a second step, we analyse the nature of this technical change by using the recent concept of parallel neutrality (Briec et al., 2006). We observe a global shift in the best practice frontier as well as in the evidence of input bias in technical change.

[1]  Shunsuke Managi,et al.  Regulatory reforms and productivity : an empirical analysis of the Japanese electricity industry , 2008 .

[2]  Cláudia S. Sarrico,et al.  Pitfalls and protocols in DEA , 2001, Eur. J. Oper. Res..

[3]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[4]  R. Halvorsen,et al.  The relative efficiency of public and private firms in a regulated environment: The case of U.S. electric utilities , 1986 .

[5]  Srinivas Talluri,et al.  A Benchmarking Method for Business-Process Reengineering and Improvement , 2000 .

[6]  M. Farsi,et al.  Regulation and Measuring Cost-Efficiency with Panel Data Models: Application to Electricity Distribution Utilities , 2004 .

[7]  W. Briec,et al.  Luenberger and Malmquist Productivity Indices: Theoretical Comparisons and Empirical Illustration , 2003 .

[8]  Michael G. Pollitt,et al.  Ownership and Efficiency in Nuclear Power Production , 1996 .

[9]  Carlos Pestana Barros,et al.  Technical efficiency of thermoelectric power plants , 2008 .

[10]  R. Färe,et al.  The relative performance of publicly-owned and privately-owned electric utilities , 1985 .

[11]  Jean-Philippe Boussemart,et al.  alpha-Returns to scale and multi-output production technologies , 2009, Eur. J. Oper. Res..

[12]  Rolf Färe,et al.  Productivity and technical change: the case of Taiwan , 2001 .

[13]  R. Färe,et al.  Benefit and Distance Functions , 1996 .

[14]  Walter Briec,et al.  Biased Technical Change and Parallel Neutrality , 2007 .

[15]  Paul H. L. Nillesen,et al.  Strategic behaviour under regulatory benchmarking , 2004 .

[16]  R. Färe,et al.  Intertemporal Production Frontiers: With Dynamic DEA , 1996 .

[17]  Carlos Pestana Barros,et al.  The determinants of cost efficiency of hydroelectric generating plants: A random frontier approach , 2007 .

[18]  R. Tol,et al.  Europe's long-term climate target: A critical evaluation , 2005 .

[19]  Di Jin,et al.  Technological change and depletion in offshore oil and gas , 2004 .

[20]  R. Färe,et al.  Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries , 1994 .

[21]  R. Färe,et al.  Profit, Directional Distance Functions, and Nerlovian Efficiency , 1998 .

[22]  Finn R. Førsund,et al.  Productivity development of Norwegian electricity distribution utilities , 1998 .

[23]  Christian A. Ruzzier,et al.  The Case for International Coordination of Electricity Regulation: Evidence from the Measurement of Efficiency in South America , 2002 .

[24]  C. Barros Efficiency analysis of hydroelectric generating plants : A case study for Portugal , 2008 .

[25]  Di Jin,et al.  Technological change and petroleum exploration in the Gulf of Mexico , 2005 .

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

[27]  Dek Terrell,et al.  Measuring Potential Efficiency Gains from Deregulation of Electricity Generation: A Bayesian Approach , 2001, Review of Economics and Statistics.

[28]  D. Giokas,et al.  A Study of the Relative Efficiency of Bank Branches: An Application of Data Envelopment Analysis , 1990 .

[29]  William L. Weber,et al.  Total factor productivity growth in manufacturing: a regional approach using linear programming , 1999 .

[30]  Shunsuke Managi,et al.  Input and output biased technological change in US agriculture , 2004 .

[31]  Dag Fjeld Edvardsen,et al.  International benchmarking of electricity distribution utilities , 2003 .

[32]  Rolf Färe,et al.  The relative efficiency of Illinois electric utilities , 1983 .