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Evaluación del desempeño del sector de distribución de electricidad en Colombia: una aplicación del análisis de frontera estocástica

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  • Yeinni Andrea Patiño Moya

    ()

  • Gustavo Adolfo Gómez Flórez

    ()

  • Emma Osorio Medina

    ()

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    Abstract

    Este trabajo tiene como objetivo evaluar el desempeño en la eficiencia técnica de las empresas quedistribuyen energía en Colombia durante el período 2004-2007, usando el análisis de frontera estocástica(SFA). Se emplea una función de distancia translogorientada a los insumos, lo que permite considerar alos productos como dados y a los insumos como variables de control. Los resultados empíricos arrojanque en el sector de distribución de energía no se generaron ni cambios tecnológicos ni mejoramientosen la eficiencia técnica durante el período de estudio. Además, se comprobó que las variables ambientales son determinantes de la tecnología de producción y en consecuencia se considera que el entorno en el que operan las empresas influye en su desempeño administrativo. Los resultados indican que cuatro de las empresas analizadas alcanzan una eficiencia técnica superior al 90 %. En general, el sector tiene una eficiencia técnica promedio de 60,12% y un componente de ineficiencia que representa el94,50% del término de error compuesto; estas cifras indican que los errores aleatorios se deben, en granmedida, a la ineficiencia de las empresas.

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    Bibliographic Info

    Article provided by BANCO DE LA REPÚBLICA - ESPE in its journal ENSAYOS SOBRE POLÍTICA ECONÓMICA.

    Volume (Year): (2010)
    Issue (Month): ()
    Pages:

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    Handle: RePEc:col:000107:009427

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    Related research

    Keywords: eficiencia; frontera estocástica; distribución de energía.;

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    References

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    1. 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.
    2. Toru Hattori, 2002. "Relative Performance of U.S. and Japanese Electricity Distribution: An Application of Stochastic Frontier Analysis," Journal of Productivity Analysis, Springer, vol. 18(3), pages 269-284, November.
    3. 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, August.
    4. 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.
    5. Mas-Colell, Andreu & Whinston, Michael D. & Green, Jerry R., 1995. "Microeconomic Theory," OUP Catalogue, Oxford University Press, number 9780195102680, September.
    6. Ligia Melo B. & Néstor Espinosa, 2004. "Ineficiencia En La Distribución De Energía Eléctrica: Una Aplicación De Las Funciones De Distancia Estocástica," BORRADORES DE ECONOMIA 002843, BANCO DE LA REPÚBLICA.
    7. Rodríguez Pardina, Martín & Rossi, Martín & Ruzzier, Christian, 1999. "Fronteras de eficiencia en el sector de distribución de energía eléctrica: la experiencia sudamericana," UADE Textos de Discusión 15_1999, Instituto de Economía, Universidad Argentina de la Empresa.
    8. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    9. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
    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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