Pekalongan Purse Seiners Fisheries Technical Efficiency Using Stochastic Frontier Panel Data

Cost Efficiencies of the Shrimp Fishery in Mexico: A Stochastic Frontier Analysis

“…In this sense, the signs of the coefficients representing the elasticity of costs relative to the use of inputs were consistent with economic theory. In this study, the cost elasticity relative to the labor input (crew size) was 0.13, close to the 0.28 figure reported by Jamnia et al [25]; lower than 0.40 reported by Quijano et al [26], Dian et al [27], and Agar et al [30]; and lower than 0.42 reported by Esmaeili [22]. The fuel price elasticity of 0.75 (cost per ton) of the TFE model was much higher than 0.27 found by Kompas et al [17] for the shrimp fishing fleet in northern Australia during the period 1990-1996.…”

“…Subsequently, there was a strong interest in analyzing the level of productive efficiency of various fisheries through the SFA approach [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. Most of these studies analyzed the productive efficiency of vessels in pelagic and demersal multispecies fisheries.…”

“…Regarding the representation and econometric specification of other inputs, Chowdhury et al [24] included fuel costs and quality control materials such as certifications, phytosanitary costs, and laboratory testing. A large part of technical efficiency studies in the fishing sector used fishing days and the number of trips as control variables to represent the intensity of the use of production factors and the fishing effort [11][12][13][16][17][18][19][22][23][24][25][26][27][28]30]. Other control variables used in the literature to account for the production function are vessel age [12][13][14][15]18,19,23] and fishing gear selectivity, specific to each vessel [13,14,17,22,24,28].…”