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Pesca demersal en Chile: eficiencia técnica y escalas de operación

  • Julio Peña


    (Universidad Alberto Hurtado)

  • Julio Aguirre


    (INDECOPI, Perú)

  • René Cerca D'amico


    (Pontificia Universidad Católica de Valparaíso)

This paper estimates technical efficiency in fishing activities of industrial vessels that operated during the 1990-2000 period in the "Merluccius gayi" fishery. Two algorithms -with fixed and random effects- used to estimate stochastic production frontiers are compared. The main results are: (a) There is a high and significant correlation between the effi-ciency rankings obtained with the two algorithms. (b) The fixed effect algorithm generates greater efficiency scores and more disperse efficiency distributions. (c) Both algorithms estimate greater efficiencies for larger boats and boats with more engine power. Smaller boats display greater dispersion in their estimated efficiencies. (d) Consistent estimators in-sinuate the presence of decreasing marginal returns as the fishing effort of the boat increases. (e) This last result is consistent with the evidence of congestion effects, associated to the scale of operation of the total fleet under analysis. (f) The empirical relevance of the Translog functional form is confirmed. Keywords: Fronteras estocásticas, eficiencia técnica, estimación de panel, pesca demersal en Chile, pesquería de merluza común (merluccius gayi).

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Article provided by Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines in its journal Revista de Analisis Economico.

Volume (Year): 19 (2004)
Issue (Month): 1 (June)
Pages: 119-160

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Handle: RePEc:ila:anaeco:v:19:y:2004:i:1:p:119-160
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  1. 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.
  2. 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.
  3. 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.
  4. Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
  5. 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.
  6. repec:cor:louvrp:-12 is not listed on IDEAS
  7. 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.
  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. 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.
  10. Cornwell, C. & Schmidt, P., 1993. "Production Frontiers and Efficiency Measurement," Papers 427e, Georgia - College of Business Administration, Department of Economics.
  11. J. A. Hausman, 1976. "Specification Tests in Econometrics," Working papers 185, Massachusetts Institute of Technology (MIT), Department of Economics.
  12. 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).
  13. 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.
  14. Greene, William H., 1980. "On the estimation of a flexible frontier production model," Journal of Econometrics, Elsevier, vol. 13(1), pages 101-115, May.
  15. 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.
  16. Greene, William, 2001. "New Developments in the Estimation of Stochastic Frontier Models with Panel Data," Efficiency Series Papers 2001/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
  17. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
  18. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
  19. 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.
  20. 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.
  21. 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.
  22. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
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