Browse > Article
http://dx.doi.org/10.3796/KSFT.2017.53.4.357

Estimating the productive efficienct of distant-water longline vessels in Pacific Ocean using a Stochastic Frontier Approach  

CHO, Heon-Ju (Distant Water Fisheries Resources Division, National Institute of Fisheries Science)
KIM, Doo Nam (Distant Water Fisheries Resources Division, National Institute of Fisheries Science)
KIM, Do Hoon (Department of Marine & Fisheries Business and Economics, Pukyong National University)
LEE, Sung Il (Distant Water Fisheries Resources Division, National Institute of Fisheries Science)
KWON, Youjung (Distant Water Fisheries Resources Division, National Institute of Fisheries Science)
KU, Jeong Eun (Distant Water Fisheries Resources Division, National Institute of Fisheries Science)
Publication Information
Journal of the Korean Society of Fisheries and Ocean Technology / v.53, no.4, 2017 , pp. 357-362 More about this Journal
Abstract
The purpose of this study is to analyze the efficiency of distant-water longline fishing vessels in the Pacific Ocean and the gap in efficiencies among individual vessels. In order to estimate the efficiency, the dependent variable is set as an amount of catch and independent variables include number of crew, number of hooks, number of vessel size, and vessels engine power associated with fishing activities of distant water longline fisheries. Analytical result was shown as follows: first, the average efficiency of distant-water longline fishing vessels in the Pacific Ocean was found to be 94%. Second, the number of hooks were found to be statistically significant in each input variable and the appropriate control of the number of hooks would be expected to have a positive effect on the efficiency. Third, the relationship between the age of a vessel and the efficiency was not found statistically.
Keywords
SFA; Distant-water fisheries; Longline; Efficiency; Pacific Ocean;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Aigner D, Lovell CAK and Schmidt P. 1977. Formulation and Estimation of Stochastic Frontier Function Models. Journal of Econometrics 6(1), 21-27.   DOI
2 Choi JY, Kim KS and Kim DH. 2010. Productive Efficiency of the Coastal Fishing Business : A Comparison of Data Envelopment Analysis and Stochastic Frontier Analysis. Journal of the Korean operations research and management science society 35(3), 59-68.
3 Jondrow J, Lovell CAK, Materov I.S and Schmidt P. 1982. On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model, Journal of Econometrics 19, 233-238.   DOI
4 Kim HS and Song JH. 2012. A Study on the Efficiency Analysis of Abalone Aquaculture in Wando Region Using Stochastic Frontier Approach. The Journal of Fisheries Business Administration 43(2), 67-77. (DOI:10.12939/ FBA.2012.43.2.067).   DOI
5 Kim SH, Choi TS and Lee DW. 2007. Efficiency Analysis. Seoul Economics and Business, 245.
6 Kirkley JE, Squires D and Strand I. 1995. Assessing Technical Efficiency in Commercial Fisheries : The Mid-Atlantic Sea Scallop Fishery. American journal of Agriculture Economics 77(3), 686-697.   DOI
7 Sharma KR and Leung PS. 1999. Technical Efficiency of the Longline Fishery in Hawaii : An Application of a Stochastic Production Frontier. Marine Resource Economics 13, 259-274.
8 Yang DH, Jang YJ and No JH. 2012. An Analysis on Technical Inefficiency of Regional Public Hospitals using Stochastic Production Model. The Journal of Health Economics and Policy 18(4), 41-64.