생산성 평가를 위한 효율분석 모형의 비교 연구 : 원양수산 기업을 중심으로

Korean deep-sea fishing companies are subject to a fundamental problem of economic inefficiency, and only a few companies actually manage to be profitable. Hence, government decision makers need to evaluate the efficiency of individual fishing companies so as to develop concession plans for the deep-sea fishing industry. For efficiency evaluation, Data Envelopment Analysis (DEA) can be used because of its ability to handle multiple inputs and outputs of different levels. But, DEA has the drawback of producing too many efficient decision making units (DMUs), which may cause difficulty in selecting the most efficient DMUs. In order to measure the relative efficiency of deep-sea fishing companies, therefore, we examine the use of cross efficiency analysis and constrained canonical correlation analysis (CCCA), DEA-based methodologies enabling further ranking of efficient decision making units. In the efficiency analysis of deep-sea fishing companies, we considered two outputs: the fish haul, and total sales, while for input parameters we considered the number of crew, shipping tonnage, and fishing costs. The results of our approach indicate that cross efficiency analysis and CCCA can be used to explicitly rank deep-sea fishing companies, and cross efficiency analysis performs better than the other two approaches.