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Eficiencia Técnica y Escalas de Operación en Pesca Pelágica: Un Análisis de Fronteras Estocásticas

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Author Info
Julio Peña
Michael Basch
Sebastián Vergara
Abstract

This paper examines estimations of technical catch efficiency for a sample of 204 industrial vessels operating at the pelagic grounds of Southern-Central Chile during the 1985-95 period. We consider a Translog stochastic frontier model à-la Battese-Coelli (1995), which includes a vessel-specific inefficiency model. The vessel’s age and scale of operation are found to be significant in explaining catch efficiency. Larger vessels tend to be the most efficient and those showing least variance in their efficiencies. Whereas smaller vessels, which on average are the oldest in the fleet, show greater dispersion and lower levels in their efficiencies. Explanatory variables aggregated at the ship-owner level, which aim at controlling for firm’s operating scale, are also significant as a whole when explaining vessel-level efficiency. We find positive search externalities associated to the number of vessels under control of a given firm, as well as external diseconomies related to the use intensity given by each firm to its fleet. Yearly averages for vessel’s catch efficiencies vary from 50% up to 86%. Whereas close to 90% of the residuals’ total variance is associated with the inefficiency term, which suggests a significant disparity in vessels’ catch performance at this fishery.

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Publisher Info
Article provided by Instituto de Economía. Pontificia Universidad Católica de Chile. in its journal Cuadernos de Economía.

Volume (Year): 40 (2003)
Issue (Month): 119 ()
Pages: 47-87
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Handle: RePEc:ioe:cuadec:v:40:y:2003:i:119:p:47-87

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Related research
Keywords: Stochastic Production Frontiers Technical Efficiency Panel Estimation Chilean Pelagic Fischeries

Find related papers by 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
L7 - Industrial Organization - - Industry Studies: Primary Products and Construction

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