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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).

Suggested Citation

  • 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, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines, vol. 19(1), pages 119-160, June.
  • Handle: RePEc:ila:anaeco:v:19:y:2004:i:1:p:119-160

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    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • L7 - Industrial Organization - - Industry Studies: Primary Products and Construction


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