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La Distribución Eléctrica en Argentina y su Eficiencia Técnica:Una Aplicación del Análisis de Fronteras Estocásticas (SFA) Utilizando Funciones Distancia

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  • Darío Ezequiel Díaz

    (Universidad Autónoma de Encarnación, Facultad de Ciencias Empresariales (Encarnación, Paraguay))

Abstract

La tarifa es la variable más relevante en la compleja organización de la regulación del sistema eléctrico, y particularmente, de la actividad de distribución. La crisis financiera del año 2009 y la experiencia negativa de algunas privatizaciones a nivel internacional, conjuntamente con una literatura económica endeble respecto a la relación titularidad/eficiencia, revitalizaron el debate en analizar la relación entre la propiedad pública/privada de la empresa y su eficiencia técnica; la medición de esta última y el esquema de regulación adecuado para la distribución eléctrica. El objetivo del presente paper es medir la eficiencia técnica de las empresas distribuidoras eléctricas de la República Argentina utilizando la técnica de funciones distancia bajo el marco del análisis de fronteras estocásticas, con el objeto de construir un ranking de eficiencia entre las empresas privadas y públicas. / The rate is the most important variable in the complex organization of the regulation of the electricity system, and particularly of the distribution activity. The financial crisis of 2009 and the negative experience of some privatizations internationally together with weak economic literature regarding the ownership / efficiency ratio, revived the debate on analyzing the relationship between public / private ownership of the company and its efficiency technique; measurement of the latter and appropriate regulatory scheme for power distribution. The aim of this paper is to measure the technical efficiency of power distribution companies of Argentina using techniques of distance functions under the framework of stochastic frontier analysis, in order to build a ranking of efficiency between private and public companies.

Suggested Citation

  • 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.
  • Handle: RePEc:ief:reveye:v:51:y:2013:i:1:p:85-118
    DOI: 10.55444/2451.7321.2013.v51.n1.11877
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    References listed on IDEAS

    as
    1. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
    2. Hussain, Muhammad Sajid & Coelli, Tim J. & Simmons, Phil, 1999. "An Analysis of the Technical Efficiency of Cotton Farmers in the Punjab province in Pakistan," 1999 Conference (43th), January 20-22, 1999, Christchurch, New Zealand 123815, Australian Agricultural and Resource Economics Society.
    3. 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, May.
    4. 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.
    5. 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.
    6. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. 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 Republica de Colombia, vol. 23(49), pages 88-132, December.
    9. Loza, Andrés & Margaretic, Paula & Romero, Carlos, 2003. "Consistencia de medidas de eficiencia basadas en funciones de distancia paramétricas y no paramétricas: una aplicación al sector de distribuidoras de electricidad en la Argentina [Consistency of ef," MPRA Paper 15269, University Library of Munich, Germany.
    10. 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.
    11. Rafael Cuesta, 2000. "A Production Model With Firm-Specific Temporal Variation in Technical Inefficiency: With Application to Spanish Dairy Farms," Journal of Productivity Analysis, Springer, vol. 13(2), pages 139-158, March.
    12. Leland Gerson Neuberg, 1977. "Two Issues in the Municipal Ownership of Electric Power Distribution," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 303-323, Spring.
    13. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    14. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    15. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    16. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    17. Mehdi Farsi & Aurelio Fetz & Massimo Filippini, 2007. "Benchmarking and Regulation in the Electricity Distribution Sector," CEPE Working paper series 07-54, CEPE Center for Energy Policy and Economics, ETH Zurich.
    18. Omar O. Chisari (ed.), 2007. "Regulatory Economics and Quantitative Methods," Books, Edward Elgar Publishing, number 12517.
    19. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    20. repec:bdr:ensayo:v::y:2005:i:49:p:88-132 is not listed on IDEAS
    21. 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.
    22. K. Kalirajan, 1981. "An Econometric Analysis of Yield Variability in Paddy Production," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 29(3), pages 283-294, November.
    23. 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.
    24. 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.
    25. Battese, George E. & Coelli, Tim J. & Colby, T.C., 1989. "Estimation of Frontier Production Functions and the Efficiencies of Indian Farms Using Panel Data from ICRISAT's Village Level Studies," 1989 Conference (33rd), February 7-9, 1989, Christchurch, New Zealand 144383, Australian Agricultural and Resource Economics Society.
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    More about this item

    Keywords

    Distribución eléctrica; eficiencia técnica; función distancia; frontera estocástica;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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