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

Author

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  • Yeinni Andrea patiño

  • Gustavo Adolfo Gómez

  • Emma Osorio Medina

Abstract

Este trabajo tiene como objetivo evaluar el desempeño en la eficiencia técnica de las empresas que distribuyen energía en Colombia durante el período 2004-2007, usando el análisis de frontera estocástica (SFA). Se emplea una función de distancia translog orientada a los insumos, lo que permite considerar a los productos como dados y a los insumos como variables de control. Los resultados empíricos arrojan que en el sector de distribución de energía no se generaron ni cambios tecnológicos ni mejoramientos en 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 el 94,50% del término de error compuesto; estas cifras indican que los errores aleatorios se deben, en gran medida, a la ineficiencia de las empresas.

Suggested Citation

  • Yeinni Andrea patiño & Gustavo Adolfo Gómez & Emma Osorio Medina, 2010. "Evaluación del desempeño del sector de distribución de electricidad en Colombia: Una aplicación del análisis de frontera estocástica," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 28(62), pages 70-123, June.
    • Handle: RePEc:bdr:ensayo:v:28:y:2010:i:62:p:70-123
    DOI: 10.32468/Espe.6202
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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 325-332.
    4. 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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    Keywords

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    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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