TECHNICAL EFICIENCY OF FISH AGGREGATING DEVICES ASSOCIATED WITH TUNA FISHERY IN KENDARI FISHING PORT – INDONESIA
Abstract
Kendari fishing port is one of the biggest tuna fisheries landing in Indonesia. It yearly average tuna production was more than 20 thousand tons. The tuna fishing fleet in Kendari use FAD (Fish Aggregating Devices) as an auxiliary fishing gear. FAD management is major issues in Indonesian tuna fisheries. extensive investment on FAD has led to increase of the juvenile and by catch and also social problem because of the competition. Technical efficiency analysis was done during this study, 2015 catch and logistic data from Kendari fishing port was run using stochastic frontier to obtain the model. Mean value technical efficiency was 0.534. Purse seine the highest mean value compared to other fishing gear. All the variables input show positive relationship to the catch except the days at sea variables, this is a signal that the increasing number of FAD has made the fisherman spend more time at sea it will decrease the technical efficiency. The results support the need of FAD regulation done by the government of Indonesia. Regulation will keep the number of FAD at optimum level and increase the technical effieciency so the fisheries keep gaining the optimum benefit from the resources.
Keywords
Full Text:
PDFReferences
Aigner, D. J., Lovell, C. & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function model. Journal of Economometrics, 6, 21-37.
Battese, G. E. & Coelli, T. (1995). A model for technical inefficiency effect in a stochastic frontier production function for panel data. Empirical Economics, 20, 325-332.
Coelli, T. & Henningsen, A. (2013). frontier: Stochastic Frontier Analysis. R package version 1.1-1. http://CRAN.R-Project.org/package=frontier.
Coglan, L., Pascoe, S. & Harris, R. (1999). Measuring efficiency in demersal trawlers using a frontier production function approach, In: Salz, P. (Ed), Proceedings of the Xth Annual Conference of the European Association of Fisheries Economics, The Hague, 1998. The Hague: Agricultural Economics Research Institute (LEI-DLO), 236-257.
Croissant, Y. & Millo, G. (2008). Panel data econometrics in R: The plm Package. Journal of Statistical Software, 27(2). Retrieved from http://www.jstatsoft.org/v27/i02/.
Directorate General of Capture Fisheries. (2013). Capture fisheries statistic of Indonesia, 2013. Ministry of Marine Affair and Fisheries. Jakarta: Directorate General of Capture Fisheries.
Fousekis, P. & Klonaris, S. (2003). Technical efficiency determinants for fisheries: a study of trammel netters in Greece. Fisheries Research, 63, 85-95.
Ghee-thean, L., Latief, I. A. & Hussein, M. A. (2012). Does technology and other determinat effect fishing efficiency? an application of stochastic frontier and data envelopment analyses on trawl fishery. Journal of Applied Sciences, 12(1), 48-55.
Jeon, Y., Omar, I. H., Kuperan, K., D., S. & Susilowati, I. (2006). Developing country fisheries and Technical efficieny: the java Sea purse seine fishery. Applied Economics, 38, 1541-1552.
Kirkley, J.E., Squires, D.E. & Strand, I.E. (1995). Assessing technical efficiency in commercial fisheries: The Mid-Atlantic Sea Scallop Fishery. Am. J. Agric. Econ., 77(3), 686-97.
Kirkley, J.E., Squires, D.E. & Strand, I.E. (1998). Characterizing managerial skill and technical efficiency in a fishery. J. Product. Anal., 9, 145-160.
Meeusen, W. & van den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production function with composed error. International Economic Review, 18, 435-444.
Nugraha, B. & Hufiadi. (2013). (In Indonesian) Technical efficiency of tuna longline fisheries in benoa (case study of PT. Perikanan nusantara). J.Lit.Perik.Ind. 19 (1), 25-30
Pascoe, S., Andersen, J.L. & de Wilde, J.W. (2001). The impact of management regulation on the technical efficiency of vessels in the Dutch beam trawl fishery. Europ. Rev. Agric. Econ, 28(2), 187-206.
Pascoe, S. & Coglan, L. (2000). Implications of differences in technical efficiency of fishing boats for capacity measurement and reduction. Mar. Pol., 24(4), 301-307.
Sharma, K.R. & Leung, P. (1999). Technical efficiency of the longline fishery in Hawaii: an application of a stochastic production frontier. Mar. Resource Econ, 13, 259-274.
Squires, D.E. & Kirkley, J.E. (1999). Skipper skill and panel data in fishing industries. Can. J. Fish. Aquatic Sci, 56, 2011-2018.
DOI: http://dx.doi.org/10.15578/ifrj.23.2.2017.97-105
Indonesian Fisheries Research Journal is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats
p-ISSN 0853-8980
e-ISSN 2502-6569
