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Pesca Demersal en Chile: Eficiencia Técnica y Escalas de Operación

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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  14. 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.
  15. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
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  17. 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.
  18. Greene, William H., 1980. "On the estimation of a flexible frontier production model," Journal of Econometrics, Elsevier, vol. 13(1), pages 101-115, May.
  19. 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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  22. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
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