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Analysis of Management Efficiency for Abalone Seed Producer based on DEA Approach

DEA를 이용한 전복종자 생산업체의 경영효율성 분석

  • Oh, Ye-Jin (Fisheries Policy Implementation Division, Korea Maritime Institute) ;
  • Lee, Nam-Su (Fisheries Policy Implementation Division, Korea Maritime Institute) ;
  • Kim, Dae-Young (Planning & Coordination Division, Korea Maritime Institute)
  • 오예진 (한국해양수산개발원 수산정책사업본부 수산업관측센터) ;
  • 이남수 (한국해양수산개발원 수산정책사업본부 수산업관측센터) ;
  • 김대영 (한국해양수산개발원 기획조정본부)
  • Received : 2020.03.04
  • Accepted : 2020.03.18
  • Published : 2020.03.31

Abstract

The production of abalone seed has grown and been specialized since the 2000s with the growth of the abalone farming industry. Despite the increase in the production of abalone seeds, the sales volume of abalone seeds remained flat and competition among producers increased. This paper will analyze the management efficiency of abalone seed production fishery to diagnose the management status and improve the abalone seed production efficiency. In addition, this study is the result of the basic research on the abalone seed industry and it is meaningful to prepare a platform for further research since the management status survey and the management efficiency survey of abalone seed production fishery have not been conducted until now. The data on the farmed fish prices of abalone seeds were collected from surveys of sample fish as part of the fish seed observation project conducted by the Fisheries Outlook Center (FOC) of Korea Maritime and Fisheries Development Institute (KMI). Management efficiency analysis utilizes DEA (Data Envelopment Analysis) model. The DEA model was analyzed by classifying into CCR (Super-CCR), BCC, and SBM (Super-SBM) models according to the assumptions taking into account the characteristics of the industry. The slack considered in the SBM model was judged as possible decreases in input variables and increase in output variables. The average efficiency from the CCR model was analyzed to be 69%. The BCC model was classified into input and output orientations, and the average efficiency was 79% and 75%, respectively. There were seven production fisheries with an SE value of 1 or more, which remained unchanged in terms of size and could be benchmarked. The average efficiency of the SBM model was 59% for CRS and 66% for VRS. Under the VRS assumptions, the variable increase/decrease efficiency analysis shows that labor costs can be reduced by 37.3%, facility capacity by 18.8%, and operating costs by 8.5%. In order to improve management efficiency, Wando needs to reduce labor and management costs. In Jindo region, sales increase as well as labor cost reduction is urgent. In other regions, reduced facilities and increased sales are recommended.

Keywords

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