IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Ineficiencia En La Distribución De Energía Eléctrica: Una Aplicación De Las Funciones De Distancia Estocástica

  • Ligia Melo B.

    ()

  • Néstor Espinosa

    ()

Este documento evalúa el desempeño de las empresas distribuidoras de energía durante el periodo 1999-2003, utilizando la metodología de funciones de distancia estocástica, la cual a través de la estimación de las desviaciones de una función ideal de producción, permite medir los niveles de eficiencia técnica de las diferentes empresas. Los resultados indican que existen diferencias significativas en el desempeño de las empresas, sugiriendo que se podrían obtener importantes ganancias en términos de eficiencia técnica si las empresas operaran o se acercaran a los niveles de operación de las más eficientes. Estas ganancias se podrían expresar en el ahorro de recursos, la calidad del servicio y/o en menores niveles de tarifas a los usuarios finales. También se encontró que el desempeño de las empresas distribuidoras de energía puede verse afectado por factores fuera del control de las firmas, tales como las condiciones geográficas, el número de usuarios atendidos y la densidad poblacional. En particular, se encuentra que empresas con un entorno más favorable en términos de densidad poblacional y/o de los niveles de consumo de los usuarios se ven favorecidas cuando dichas variables afectan directamente la tecnología de producción. Por otra parte, se observa que las empresas públicas registran un mejor desempeño cuando las variables ambientales afectan directamente la eficiencia y no la función de producción. Estos resultados sugieren que las empresas privadas se podrían estar beneficiando de condiciones de entorno más favorables, teniendo en cuenta que estas, en promedio atienden áreas de más alta densidad poblacional y usuarios de consumos más altos.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.banrep.gov.co/docum/ftp/borra321.pdf
Download Restriction: no

Paper provided by BANCO DE LA REPÚBLICA in its series BORRADORES DE ECONOMIA with number 002843.

as
in new window

Length: 49
Date of creation: 30 Nov 2004
Date of revision:
Handle: RePEc:col:000094:002843
Contact details of provider:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
  2. John Ruggiero & Donald F. Vitaliano, 1999. "Assessing The Efficiency Of Public Schools Using Data Envelopment Analysis And Frontier Regression," Contemporary Economic Policy, Western Economic Association International, vol. 17(3), pages 321-331, 07.
  3. Kalirajan, K P & Shand, R T, 1999. " Frontier Production Functions and Technical Efficiency Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 13(2), pages 149-72, April.
  4. Jamasb, T. & Pollitt, M., 2001. "Benchmarking and Regulation of Electricity Transmission and Distribution Utilities: Lessons from International Experience," Cambridge Working Papers in Economics 0101, Faculty of Economics, University of Cambridge.
  5. Kumbhakar, Subal C. & Hjalmarsson, Lennart, 1998. "Relative performance of public and private ownership under yardstick competition: electricity retail distribution," European Economic Review, Elsevier, vol. 42(1), pages 97-122, January.
  6. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  7. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1997. "Budget-Constrained Frontier Measures Of Fiscal Equality And Efficiency In Schooling," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 116-124, February.
  8. Tim Coelli & Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2003. "A Primer on Efficiency Measurement for Utilities and Transport Regulators," World Bank Publications, The World Bank, number 15149.
  9. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
  10. Antonio Estache & MartÌn A. Rossi & Christian A. Ruzzier, 2004. "The Case for International Coordination of Electricity Regulation: Evidence from the Measurement of Efficiency in South America," Journal of Regulatory Economics, Springer, vol. 25(3), pages 271-295, 05.
  11. Carlos Pombo & Manuel Ramirez, 2002. "Privatization in Colombia: a plant performance analysis," BORRADORES DE INVESTIGACIÓN 003377, UNIVERSIDAD DEL ROSARIO.
  12. Bauer, Paul W. & Hancock, Diana, 1993. "The efficiency of the Federal Reserve in providing check processing services," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 287-311, April.
  13. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
  14. 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.
  15. Claude Crampes & Jean-Jaques Laffont, 2001. "Transport Pricing in the Electricity Industry," Oxford Review of Economic Policy, Oxford University Press, vol. 17(3), pages 313-328.
  16. Carrington, Roger & Coelli, Tim & Groom, Eric, 2002. "International Benchmarking for Monopoly Price Regulation: The Case of Australian Gas Distribution," Journal of Regulatory Economics, Springer, vol. 21(2), pages 191-216, March.
  17. Mercedes Gumbau Albert, 1998. "Regional technical efficiency: a stochastic frontier approach," Applied Economics Letters, Taylor & Francis Journals, vol. 5(11), pages 723-726.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:col:000094:002843. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Clorith Angélica Bahos Olivera)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.