본 논문은 DEA와 Malmquist 지수를 활용하여 우리나라 외항해운기업의 효율성 및 생산성을 평가하였다. 외항 화물 운송업에 속한 기업 가운데 2006년도 매출액순위 31위 가운데 2006년부터 2010년까지 자료수집이 가능한 상위 25개 기업을 대상으로 DEA를 활용하여 각 연도별 외항해운기업의 효율성을 평가하고, Malmquist 지수를 통해 각 연도별 생산성변화를 추정하고, 생산변화의 원인을 분석하였다. 특히, 2006년부터 2010년까지 한국거래소 상장외항해운기업과 비상장외항해운기업의 생산성변화와 생산성변화의 원인을 분석하였다. CCR모형과 BCC모형에 의한 정태적 효율성 분석 결과, 대체로 상장외항해운기업이 비상장외항해운기업보다 효율성이 높게 나타났다. Malmquist 지수에 의한 생산성변화의 측정 결과, 2006년～2010년간 6개 상장외항해운기업의 평균생산성변화는 1.005로 매년 0.5%씩 생산성이 상승하는 것으로 나타났고, 19개 비상장외항해운기업의 평균생산성변화는 1.162로 매년 16.2%씩 생산성이 상승하는 것으로 나타났다.
This study analyzes the efficiency of 25 shipping companies in Korea over the period 2005-2009, using Data Envelopment Analysis (DEA). Among 31 companies that listed in order of decreasing sales volume for the period 2006-2010, the sample companies has been selected on the ground of data availability. This study computes the companies’ efficiency, estimates their year-on-year Malmquist productivity index, and analyzes the cause leads to the changes in the productivity, In particular, this study attempts, by dividing the companies into two group, listed or not, to compare the changes in the productivity and analyze the reasons. The results from static analysis based on CCR and BCC model indicate that listed companies are higher efficient than unquoted companies. The results from tests on the productivity changes based on the Malmquist productivity index show that 19 unquoted companies increase their average productivity by 16.2 percent year after year during the period but 6 listed companies increase by 0.5% during the same period.
This study analyzes the efficiency of 25 shipping companies in Korea over the period 2005-2009, using Data Envelopment Analysis (DEA). Among 31 companies that listed in order of decreasing sales volume for the period 2006-2010, the sample companies has been selected on the ground of data availability. This study computes the companies’ efficiency, estimates their year-on-year Malmquist productivity index, and analyzes the cause leads to the changes in the productivity, In particular, this study attempts, by dividing the companies into two group, listed or not, to compare the changes in the productivity and analyze the reasons. The results from static analysis based on CCR and BCC model indicate that listed companies are higher efficient than unquoted companies. The results from tests on the productivity changes based on the Malmquist productivity index show that 19 unquoted companies increase their average productivity by 16.2 percent year after year during the period but 6 listed companies increase by 0.5% during the same period.
