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Firm size and productivity. Evidence from the electricity distribution industry in Brazil

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  • Tovar, Beatriz
  • Javier Ramos-Real, Francisco
  • de Almeida, Edmar Fagundes

Abstract

In this paper we apply Stochastic Frontier Analysis through a distance function to investigate the impact of firm size on productivity development in electricity distribution. We use a sample of seventeen Brazilian firms from 1998 to 2005 and decompose productivity into technical efficiency, scale efficiency and technical change. Moreover, a further step is to decompose the technical change measurement into several components. The results indicate that firm size is important for industry's productivity, and therefore a key aspect to consider when making decisions that affect the market structure in the electricity distribution industry.

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Bibliographic Info

Article provided by Elsevier in its journal Energy Policy.

Volume (Year): 39 (2011)
Issue (Month): 2 (February)
Pages: 826-833

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Handle: RePEc:eee:enepol:v:39:y:2011:i:2:p:826-833

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Web page: http://www.elsevier.com/locate/enpol

Related research

Keywords: Brazil electricity distribution Firm size Productivity decomposition. L94;

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References

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  1. Antonio Estache & Martin Rossi & Christian Ruzzier, 2004. "The case for international coordination of electricity regulation: evidence from the measurement of efficiency in South America?," ULB Institutional Repository 2013/13372, ULB -- Universite Libre de Bruxelles.
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  3. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
  4. Ramos-Real, Francisco Javier & Tovar, Beatriz & Iootty, Mariana & de Almeida, Edmar Fagundes & Pinto Jr., Helder Queiroz, 2009. "The evolution and main determinants of productivity in Brazilian electricity distribution 1998-2005: An empirical analysis," Energy Economics, Elsevier, vol. 31(2), pages 298-305, March.
  5. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  6. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
  7. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
  8. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(03), December.
  9. Necmiddin Bagdadioglu & Catherine Waddams Price & Thomas Weyman-Jones, 2007. "Measuring Potential Gains from Mergers among Electricity Distribution Companies in Turkey using a Non-Parametric Model," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 83-110.
  10. Toru Hattori & Tooraj Jamasb & Michael Pollitt, 2005. "Electricity Distribution in the UK and Japan: A Comparative Efficiency Analysis 1985-1998," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 23-48.
  11. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
  12. Jamasb, Tooraj & Pollitt, Michael, 2003. "International benchmarking and regulation: an application to European electricity distribution utilities," Energy Policy, Elsevier, vol. 31(15), pages 1609-1622, December.
  13. John Kwoka, 2005. "Electric power distribution: economies of scale, mergers, and restructuring," Applied Economics, Taylor & Francis Journals, vol. 37(20), pages 2373-2386.
  14. Tovar, Beatriz & Martín-Cejas, Roberto Rendeiro, 2009. "Are outsourcing and non-aeronautical revenues important drivers in the efficiency of Spanish airports?," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 217-220.
  15. Resende, Marcelo, 2002. "Relative efficiency measurement and prospects for yardstick competition in Brazilian electricity distribution," Energy Policy, Elsevier, vol. 30(8), pages 637-647, June.
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Citations

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Cited by:
  1. Rahmatallah Poudineh & Tooraj Jamasb, 2013. "Investment and Efficiency under Incentive Regulation: The Case of the Norwegian Electricity Distribution Networks," Cambridge Working Papers in Economics 1310, Faculty of Economics, University of Cambridge.
  2. Losekann, Luciano & Marrero, Gustavo A. & Ramos-Real, Francisco J. & de Almeida, Edmar Luiz Fagundes, 2013. "Efficient power generating portfolio in Brazil: Conciliating cost, emissions and risk," Energy Policy, Elsevier, vol. 62(C), pages 301-314.
  3. Ipatova, Irina & Peresetsky, Аnatoly, 2013. "Technical efficiency of Russian plastic and rubber production firms," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 32(4), pages 71-92.

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