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Fronteras de eficiencia en el sector de distribución de energía eléctrica: la experiencia sudamericana

Listed author(s):
  • Rodríguez Pardina, Martín

    (Universidad Argntina de la Empresa)

  • Rossi, Martín

    (Universidad Argntina de la Empresa)

  • Ruzzier, Christian

    (Universidad Argntina de la Empresa)

Los objetivos de este trabajo son básicamente dos: comparar la eficiencia relativa de las empresas del sector de distribución de energía eléctrica en América del Sur, y realizar un análisis de consistencia entre los distintos enfoques usualmente utilizados para medir la eficiencia. El modelo estimado considera un único producto (clientes) y seis variables entre insumos y características ambientales (área de servicio, ventas, estructura del mercado, kilómetros de redes de distribución, empleados de distribución y capacidad de transformación). La información sobre estas variables se obtuvo de la base de datos confeccionada por CIER para el ejercicio 1994. Este modelo se encuentra en línea con la literatura previa en la materia. Se ha encontrado que, en líneas generales, se cumplen las condiciones de consistencia.

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File URL: http://www.uade.edu.ar/DocsDownload/Publicaciones/4_226_1566_STD015_1999.pdf
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Paper provided by Instituto de Economía, Universidad Argentina de la Empresa in its series UADE Textos de Discusión with number 15_1999.

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Length: 26 pages
Date of creation: 01 Dec 1999
Handle: RePEc:ris:uadetd:1999_015
Contact details of provider: Web page: http://www.uade.edu.ar/paginas/InstEconomiaIDE.aspx

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  1. Burns, Philip & Weyman-Jones, Thomas G, 1996. "Cost Functions and Cost Efficiency in Electricity Distribution: A Stochastic Frontier Approach," Bulletin of Economic Research, Wiley Blackwell, vol. 48(1), pages 41-64, January.
  2. 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 435-444, June.
  3. Yunos, Jamaluddin Mohd & Hawdon, David, 1997. "The efficiency of the National Electricity Board in Malaysia: An intercountry comparison using DEA," Energy Economics, Elsevier, vol. 19(2), pages 255-269, May.
  4. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
  5. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
  6. Leland Gerson Neuberg, 1977. "Two Issues in the Municipal Ownership of Electric Power Distribution," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 303-323, Spring.
  7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  8. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
  9. Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M., 1980. "A Monte Carlo study of estimators of stochastic frontier production functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 67-82, May.
  10. 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.
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