IDEAS home Printed from https://ideas.repec.org/p/ris/uadetd/1999_014.html
   My bibliography  Save this paper

Medidas de eficiencia y regulación: una ilustración del sector de distribuidoras de gas en la Argentina

Author

Listed:
  • Rodríguez Pardina, Martín

    (Universidad Argntina de la Empresa)

  • Rossi, Martín

    (Universidad Argntina de la Empresa)

Abstract

El artículo desarrolla un modelo de frontera de costos de distribución de gas, y los estima con datos de compañías de distribución de gas de Argentina. Medidas de eficiencia son una importante herramienta para los reguladores, mostrando cuánto puede aumentar una compañía su producción sin usar más insumos. En Argentina, el Marco Regulatorio del sector de gas establece que sólo firmas eficientes pueden ganar una tasa de retorno similar a aquellas actividades que enfrentan un riesgo comparable. En ese contexto, la estimación de medidas de eficiencia es una herramienta indispensable para mejorar la regulación de empresas de servicios públicos privatizadas. La primera parte del trabajo consiste en una exploración teórica de la literatura existente, donde discutimos recientes desarrollos en ese campo, prestando especial atención al caso de empresas reguladas de servicios públicos. Las fronteras determinísticas y estocásticas de costos son analizadas, ambas para estimar una frontera de costos (determinística y estocástica) para el sector de distribución de gas en Argentina. Finalmente, fueron estimados los rankings de eficiencia de las empresas.

Suggested Citation

  • Rodríguez Pardina, Martín & Rossi, Martín, 1999. "Medidas de eficiencia y regulación: una ilustración del sector de distribuidoras de gas en la Argentina," UADE Textos de Discusión 14_1999, Instituto de Economía, Universidad Argentina de la Empresa.
    • Handle: RePEc:ris:uadetd:1999_014
    as

    Download full text from publisher

    File URL: http://www.uade.edu.ar/DocsDownload/Publicaciones/4_226_1565_STD014_1999.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February.
    2. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    3. Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M., 1980. "A Monte Carlo study of estimators of stochastic frontier production functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 67-82, May.
    4. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    5. 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.
    6. Andrei Shleifer, 1985. "A Theory of Yardstick Competition," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 319-327, Autumn.
    7. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    8. 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.
    9. 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.
    10. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Canay, Iván, 2002. "Eficiencia y Productividad en Distribuidoras Eléctricas: Repaso de la Metodología y Aplicación," UADE Textos de Discusión 35_2002, Instituto de Economía, Universidad Argentina de la Empresa.
    2. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
    3. Rossi, Martín, 2000. "Análisis de eficiencia aplicado a la regulación ¿Es importante la Distribución Elegida para el Término de Ineficiencia?," UADE Textos de Discusión 22_2000, Instituto de Economía, Universidad Argentina de la Empresa.
    4. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    5. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Kevin Cullinane & Dong-Wook Song, 2003. "A stochastic frontier model of the productive efficiency of Korean container terminals," Applied Economics, Taylor & Francis Journals, vol. 35(3), pages 251-267.
    7. William C. Horrace & Ian A. Wright, 2020. "Stationary Points for Parametric Stochastic Frontier Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 516-526, July.
    8. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    9. Cullinane, Kevin & Song, Dong-Wook & Gray, Richard, 2002. "A stochastic frontier model of the efficiency of major container terminals in Asia: assessing the influence of administrative and ownership structures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(8), pages 743-762, October.
    10. Rossi, Martin Antonio & Ruzzier, Christian Alejandro, 2000. "On the regulatory application of efficiency measures," Utilities Policy, Elsevier, vol. 9(2), pages 81-92, June.
    11. Estache, Antonio & Rossi, Martín, 1999. "Estimación de una frontera de costos estocástica para empresas del sector agua en Asia y Región del Pacífico," UADE Textos de Discusión 4_1999, Instituto de Economía, Universidad Argentina de la Empresa.
    12. Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," CERDI Working papers halshs-02080285, HAL.
    13. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    14. 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.
    15. Julio Peña & Julio Aguirre & René Cerca D'amico, 2004. "Pesca demersal en Chile: eficiencia técnica y escalas de operación," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 19(1), pages 119-160, June.
    16. Sakouvogui Kekoura & Shaik Saleem & Doetkott Curt & Magel Rhonda, 2021. "Sensitivity analysis of stochastic frontier analysis models," Monte Carlo Methods and Applications, De Gruyter, vol. 27(1), pages 71-90, March.
    17. Etienne ESPAGNE & Yoro DIALLO & Sébastien MARCHAND, 2019. "Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture," Working Paper c1221ee7-5311-4af0-b1b4-3, Agence française de développement.
    18. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," Working Papers 0038, Swiss Economics.
    19. Gian Carlo Scarsi, 1999. "Local Electricity Distribution in Italy: Comparative Efficiency Analysis and Methodological Cross-Checking," Working Papers 1999.16, Fondazione Eni Enrico Mattei.
    20. Eduardo Fé & Richard Hofler, 2013. "Count data stochastic frontier models, with an application to the patents–R&D relationship," Journal of Productivity Analysis, Springer, vol. 39(3), pages 271-284, June.

    More about this item

    Keywords

    modelo de frontera de costos; distribución de gas; regulación de empresas de servicios públicos privatizadas;
    All these keywords.

    JEL classification:

    • L50 - Industrial Organization - - Regulation and Industrial Policy - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:uadetd:1999_014. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mariano E. Gonzalez (email available below). General contact details of provider: https://edirc.repec.org/data/ieuadar.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.