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Estimación de la eficiencia del sector metalmecánico en colombia: análisis de frontera estocástica

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  • Gerardo Antonio Buchelli Lozano

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  • Jhon Jairo Marín Restrepo

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    Abstract

    En este documento se evalúa el desempeño del sector metalmecánico en Colombia,durante el período 1998-2007, utilizando técnicas de frontera estocástica (SFA)que, a través de la estimación de las desviaciones de una función ideal de costos,permiten medir los niveles de eficiencia económica de las diversas unidades deproducción. Los resultados indican que existen diferencias significativas en eldesempeño de los doce departamentos incluidos en el análisis, por lo que se sugiereque se podrían obtener importantes ganancias en términos de reducción de costossi las unidades de producción se acercaran a los niveles de operación de las máseficientes. Adicionalmente, se encuentra que, durante el periodo de análisis, seobserva un cambio significativo en la eficiencia de costos del sector, lo cual se puede explicar debido al impacto de la crisis económica registrada en el país, a finales de la década de los noventa, sobre las unidades de producción del sector.

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    File URL: http://www.fce.unal.edu.co/media/files/documentos/Cuadernos/58/v31n58a11.pdf
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    Bibliographic Info

    Article provided by UN - RCE - CID in its journal REVISTA CUADERNOS DE ECONOMÍA.

    Volume (Year): (2012)
    Issue (Month): ()
    Pages:

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    Handle: RePEc:col:000093:010372

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    Related research

    Keywords: fronteras estocásticas; eficiencia económica; productividad; metalmecánica.;

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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. Ligia Melo Becerra, 2005. "Impacto De La Descentralización Fiscal Sobre La Educación Pública Colombiana," BORRADORES DE ECONOMIA 002802, BANCO DE LA REPÚBLICA.
    3. 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.
    4. Ligia Melo & Néstor Espinosa, 2005. "Ineficiencia en la distribución de energía eléctrica: una aplicación de las funciones de distancia estocástica," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE.
    5. Tim Coelli & Antonio Estache & Sergio Perelman & Lourdes Trujillo, 2003. "A Primer on Efficiency Measurement for Utilities and Transport Regulators," World Bank Publications, The World Bank, number 15149, October.
    6. Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2006. "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry," Ecological Economics, Elsevier, vol. 60(1), pages 204-215, November.
    7. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
    8. 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 435-44, June.
    9. M. Diaz & Rosario Sanchez, 2008. "Firm size and productivity in Spain: a stochastic frontier analysis," Small Business Economics, Springer, vol. 30(3), pages 315-323, March.
    10. 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.
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