원문정보
초록
영어
Data Envelopment Analysis is an operations research-based method for measuring the performance efficiency of decision units that are characterized by multiple inputs and outputs. DEA converts multiple inputs and outputs of a decision unit into a single measure of performance, generally referred to as relative efficiency. DEA has been applied successfully as a performance evaluation tool in many fields including manufacturing, banks, pharmacies, and hospitals to name a few.
This paper applies the input-oriented DEA model, DEA/Window analysis, and Malmquist indices to the 9 countries to measure the efficiency and productivity. The Malmquist indices will be decomposed into three components such as pure efficiency change, scale efficiency change, and technical change. The empirical results show the following findings. First, the DEA findings indicate that main source of inefficiency is both pure technical and scale. Second, the Malmquist indices show that an overall increase in productivity. Third, DEA/Window rusults show that the stable dissimilarity by standard deviation and LDP of CCR.
목차
Ⅰ. 서론
Ⅱ. 이론적 모형
1. CCR모형과 BCC모형
2. Malmquist 분석
3. DEA/Window 분석
Ⅲ. 규모효율성과 초효율성 분석
Ⅳ. 동태적 효율성 분석
1. Malmquist 생산성 지수
2. DEA/Window 분석
Ⅴ. 요약 및 결론
참고문헌
저자정보
참고문헌
- 1국내항만의 효율성 결정요소네이버 원문 이동
- 2오성동·박노경, “컨테이너항만의 국제경쟁력 분석방법: DEA접근”, 『한국항만경제학회지』,제17권 제1호, (한국항만경제학회, 2001), p.27-52.
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- 5Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis네이버 원문 이동
- 6Measuring the efficiency of decision making units네이버 원문 이동
- 7An Application of DEA Windows Analysis to Container Port Production Efficiency네이버 원문 이동
- 8Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries네이버 원문 이동
- 9Measuring the technical efficiency of production네이버 원문 이동
- 10Port performance comparison applying data envelopment analysis (DEA)네이버 원문 이동
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