The purpose of this study is to understand the production efficiency of individual fishing communities and provide directions for improvement. The subject of the study is aquaculture type Ochon-Gye in Goheung-gun. The analysis method used bootstrap-DEA to overcome the statistical reliability problem of the traditional DEA analysis technique. In addition, data mining-GIS was applied to identify the spatial productivity of fishing communities. The values of technology efficiency, pure technology efficiency, and scale efficiency were estimated for 32 aquaculture-type fishing villages. Then, using the benchmarking reference set and weights, the projection was presented through adjustment of the input factor excess, and furthermore, the confidence interval of the efficiency values considering statistical significance was estimated using bootstrap.

Abstract
I. 서 론
Ⅱ. 이론적 배경
    1. DEA의 방법론적 특징과 적용
    2. 모형 선택문제와 규모수익
    3. Data Mining-GIS를 적용한 Bootstrap-DEA
    4. 선행연구 검토
Ⅲ. 고흥군의 양식어업형 어촌계 현황
    1. 어촌계 분류평정 및 현황
    2. 고흥군의 양식어업형 어촌계 현황
Ⅳ. 실증분석
    1. 표본과 변수의 선정
    2. 분석자료 개요
    3. 분석 결과
Ⅴ. 결 론
REFERENCES

• 김종천(부경대학교 경제학부) | Jong-Cheon Kim (Division of Economics, College of Humanities & Social Sciences, Pukyong National University)
• 이창수(수협 수산경제연구원) | Chang-Soo Lee (Fisheries Economic Institute, National Federation of Fisheries Cooperatives) Corresponding author