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Ineficiencia en la Distribución de Energía Eléctrica: Una Aplicación de las Funciones de Distancia Estocástica

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  • Ligia Melo B.

    ()

  • Nestor Espinosa

    ()

Abstract

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.

Suggested Citation

  • Ligia Melo B. & Nestor Espinosa, 2005. "Ineficiencia en la Distribución de Energía Eléctrica: Una Aplicación de las Funciones de Distancia Estocástica," Borradores de Economia 321, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:321
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    References listed on IDEAS

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    Cited by:

    1. Tooraj Jamasb & Rabindra Nepal & Govinda Timilsina & Michael Toman, 2014. "Energy Sector Reform, Economic Efficiency and Poverty Reduction," Discussion Papers Series 529, School of Economics, University of Queensland, Australia.
    2. Jorge E. Galán & Michael G. Pollitt, 2014. "Inefficiency persistence and heterogeneity in Colombian electricity distribution utilities," Cambridge Working Papers in Economics 1423, Faculty of Economics, University of Cambridge.
    3. Gerardo Antonio Buchelli Lozano & Jhon Jairo Marín Restrepo, 2012. "Estimación de la eficiencia del sector metalmecánico en colombia: análisis de frontera estocástica," REVISTA CUADERNOS DE ECONOMÍA, UN - RCE - CID, December.
    4. Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2017. "Technical efficiency for Colombian small crop and livestock farmers: A stochastic metafrontier approach for different production systems," Journal of Productivity Analysis, Springer, vol. 47(1), pages 1-16, February.
    5. Jorge David Quinteo Otero & William Orlando Prieto Bustos & Fernando Barrios Aguirre & Laura Elena Leviller Guardo, 2008. "Determinantes de la eficiencia técnica en las empresas colombianas, 2001-2004," REVISTA SEMESTRE ECONÓMICO, UNIVERSIDAD DE MEDELLÍN, November.
    6. Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2006. "Infrastructure Reform in Developing Economies: Evidence from a survey of efficiency measures," ULB Institutional Repository 2013/44062, ULB -- Universite Libre de Bruxelles.
    7. Estache, Antonio & Perelman, Sergio & Trujillo, Lourdes, 2005. "Infrastructure performance and reform in developing and transition economies: evidence from a survey of productivity measures," Policy Research Working Paper Series 3514, The World Bank.
    8. Darío Ezequiel Díaz, 2013. "La Distribución Eléctrica en Argentina y su Eficiencia Técnica:Una Aplicación del Análisis de Fronteras Estocásticas (SFA) Utilizando Funciones Distancia," Revista de Economía y Estadística, Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas, vol. 0(1), pages 85-118, January.
    9. Tim Coelli & Denis Lawrence (ed.), 2006. "Performance Measurement and Regulation of Network Utilities," Books, Edward Elgar Publishing, number 3801, April.
    10. Yeinni Andrea Patiño Moya & Gustavo Adolfo Gómez Flórez & Emma Osorio Medina, 2010. "Evaluación del desempeño del sector de distribución de electricidad en Colombia: una aplicación del análisis de frontera estocástica," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE, vol. 28(62), pages 70-123, June.
    11. Ligia Alba Melo-Becerra & Lucas Wilfried Hahn-De-Castro & Dalma Sofía Ariza-Hernández & Cristian Oswaldo Carmona-Sanchez, 2016. "El desempeño municipal en el sector educativo: un análisis a partir de una función multiproducto," DOCUMENTOS DE TRABAJO SOBRE ECONOMÍA REGIONAL Y URBANA 015017, BANCO DE LA REPÚBLICA - ECONOMÍA REGIONAL.
    12. Galán, Jorge E. & Pollitt, Michael G., 2014. "Inefficiency persistence and heterogeneity in Colombian electricity utilities," Energy Economics, Elsevier, vol. 46(C), pages 31-44.
    13. Ligia Alba Melo-Becerra & Antonio José Orozco-Gallo, 2015. "Eficiencia técnica de los hogares con producción agropecuaria en Colombia," DOCUMENTOS DE TRABAJO SOBRE ECONOMÍA REGIONAL Y URBANA 013903, BANCO DE LA REPÚBLICA - ECONOMÍA REGIONAL.

    More about this item

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H22 - Public Economics - - Taxation, Subsidies, and Revenue - - - Incidence
    • L33 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Comparison of Public and Private Enterprise and Nonprofit Institutions; Privatization; Contracting Out
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy

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