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Pesca Demersal en Chile: Eficiencia Técnica y Escalas de Operación

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    Este trabajo presenta estimaciones de eficiencia técnica en faenas de pesca de barcos industriales que operaron en la década 1990-2000, en la pesquería de merluza común. Se comparan los resultados de dos algoritmos que estiman modelos de fronteras estocásticas de producción, uno con efectos fijos y otro conefectos aleatorios. Entre los resultados obtenidos se destaca: (a) Se obtiene una elevada y significativa correlación entre los rankings de eficiencias estimadas con uno y otro algoritmo. (b) El algoritmo con efectos fijos genera mayores scores de eficiencia y distribuciones de eficiencia con mayor dispersión. (c)Ambos algoritmos estiman mayores eficiencias para barcos con mayor tamaño y potencia de motor. Mientras que barcos de menor tamaño presentan mayor dispersión en sus eficiencias estimadas. Esto último insinúa la presencia de mayor heterogeneidad tecnológica en este último grupo de barcos. (d) Por otro lado, estimadores consistentes señalan la presencia de rendimientos marginales decrecientes ante aumentos en el nivel del esfuerzo de pesca de cada barco. (e) Lo anterior es consistente con resultados que insinúan la presencia de efectos congestión, asociados a la escala de operación pesquera del total de la flota industrial en estudio. (f) Se confirma la relevancia empírica de la forma funcional Translog. Con ello, estimaciones punto para los valores de elasticidades captura-insumo en general dependen de la escala agregada de operación pesquera y/o de la abundancia del stock de peces bajo explotación.

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    Paper provided by Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines in its series ILADES-Georgetown University Working Papers with number inv152.

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    Length: 44 pages
    Date of creation: Apr 2004
    Date of revision:
    Handle: RePEc:ila:ilades:inv152
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    1. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
    2. 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 325-32.
    3. Julio Peña & Michael Basch & Sebastián Vergara, 2003. "Eficiencia Técnica y Escalas de Operación en Pesca Pelágica: Un Análisis de Fronteras Estocásticas," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(119), pages 47-87.
    4. Salvatore Comitini & David S. Huang, 1967. "A Study of Production and Factor Shares in the Halibut Fishing Industry," Journal of Political Economy, University of Chicago Press, vol. 75, pages 366.
    5. Greene, William H., 1980. "On the estimation of a flexible frontier production model," Journal of Econometrics, Elsevier, vol. 13(1), pages 101-115, May.
    6. 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.
    7. Cornwell, C. & Schmidt, P., 1993. "Production Frontiers and Efficiency Measurement," Papers 427e, Georgia - College of Business Administration, Department of Economics.
    8. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
    9. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    10. J. A. Hausman, 1976. "Specification Tests in Econometrics," Working papers 185, Massachusetts Institute of Technology (MIT), Department of Economics.
    11. Squires, Dale & Grafton, R. Quentin, 1998. "Where the Land Meets The Sea: Integrated Sustainable Fisheries Development and Artisanal Fishing," University of California at San Diego, Economics Working Paper Series qt93d6156d, Department of Economics, UC San Diego.
    12. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
    13. ZELLNER, Arnold & KMENTA, Jan & DREZE, Jacques H., . "Specification and estimation of Cobb-Douglas production function models," CORE Discussion Papers RP -12, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-23, August.
    15. 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.
    16. 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.
    17. 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.
    18. Bauer, Paul W. & Hancock, Diana, 1993. "The efficiency of the Federal Reserve in providing check processing services," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 287-311, April.
    19. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-86, July.
    20. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
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