DEA를 이용한 해상가두리양식업의 효율성 분석

Abstract

In Korea, marine fish aquaculture has been developed consistently. The production volume of it has been increasing up to 40% of the total marine products. It plays a important part in stable supply of marine products. However, the increasing costs of feed, seedling, and medical supplies and the decreasing price due to the import liberalization of fishery products, aquaculture business has been faced with profits down. This dissertation is designed to analyze the efficiency among the species in Net-cage Aquaculture, occupied 73% of total fishery aquaculture products in Korea. The study used input oriented DEA(Data Envelopment Analysis) and DEA/Window Model to provide a way for improving product efficiency. 12 species were selected with 2 input and 2 output factors for 2010 and average data of 2006-2010. To estimate total factor productivity changes in the same subject period 2006 to 2010, input oriented Malmquist distance functions of DEA was also used. The input oriented DEA results showed that there are 4% Technical Efficiency in 2010 more than five year's average and 10% Pure Technical Inefficiency in both results. There are 5% Scale Efficiency in 2010 more than five year's average. Cause of inefficiency comes from Scale Efficiency. Grouper has been referenced four times each in Peer set, and it recorded the highest frequency. The measure of improving efficiency could be found by discovering conditions of Grouper farming. The DEA/Window analysis results showed that Technical Efficiency and pure technical efficiency have been increased unsteadily. Scale Efficiency has been increased gradually in most species. The MPI analysis results showed that there was a 3% deterioration in productivity for 5years. The results of species estimation were influenced by technical efficiency and technical change more than scale efficiency in Net-cage Aquaculture.