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Ineficiencia en la distribución de energía eléctrica: una aplicación de las funciones de distancia estocástica

Author

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  • Ligia Melo
  • Néstor Espinosa

Abstract

En este documento se evalúa el desempeno de las empresas distribuidoras de energía durante el período 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 queexisten diferencias significativas en el desempeno 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 desempeno de las empresas distribuidoras de energíapuede 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 altas tasas de densidad poblacional y/o altos niveles de consumo por usuario se ven favorecidas cuando dichas variables influyen directamente en la tecnología de producción.

Suggested Citation

  • Ligia Melo & Néstor Espinosa, 2005. "Ineficiencia en la distribución de energía eléctrica: una aplicación de las funciones de distancia estocástica," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 23(49), pages 88-132, December.
    • Handle: RePEc:col:000107:007497
    DOI: 10.32468/Espe.4903
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    Cited by:

    1. 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.
    2. 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.
    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 Economia, Universidad Nacional de Colombia, FCE, CID, December.
    4. 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.
    5. Julio Amézquita López & Jorge Quintero Otero & Jessica A. Espitaleta Gulfo & Livy L.Quintero Padilla, 2010. "Competitividad De Las Empresas Industriales De Cartagena De Indias. Un Análisis De Recursos Y Capacidades," Revista Jornadas de Investigación, Universidad de Cartagena, July.
    6. Ligia Alba Melo-Becerra & Lucas Wilfried Hahn-De-Castro & Dalma Sofía Ariza-Hernández & Cristian Oswaldo Carmona-Sanchez, 2016. "El desempeno municipal en el sector educativo: un análisis a partir de una función multiproducto," Documentos de Trabajo Sobre Economía Regional y Urbana 15017, Banco de la República, Economía Regional.
    7. 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.
    8. 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.
    9. 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 227, Banco de la Republica de Colombia.
    10. 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. 51(1), pages 85-118, Diciembre.
    11. Valeria Bejarano-Salcedo & Edgar Caicedo-García & Nilson Felipe Lizarazo-Bonilla & Juan Manuel Julio-Román & Julián Alonso Cárdenas-Cárdenas, 2020. "Hechos estilizados de la relación entre El Niño, La Niña y la inflación en Colombia," Borradores de Economia 1105, Banco de la Republica de Colombia.
    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. 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.
    14. 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.
    15. Alexander Arévalo S & Víctor Giménez G & Diego Prior J, 2022. "Análisis de eficiencia en educación: una aplicación del método StoNED," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 92(2), pages 45-91, October.
    16. Tim Coelli & Denis Lawrence (ed.), 2006. "Performance Measurement and Regulation of Network Utilities," Books, Edward Elgar Publishing, number 3801.

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    More about this item

    Keywords

    análisis de frontera estocástica; eficiencia técnica; sector eléctrico; desempeño relativo de empresas públicas y privadas; funciones de distancia.;
    All these keywords.

    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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