Earticle

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

Abstract
 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

키워드

저자

• 김창범 [ Chang Beom Kim | 조선대학교 동아시아 경제연구소 연구교수 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  무역통상학회지 [Journal of Korea Research Association of International Commerce]

• 간기

  격월간

• pISSN

  1738-4354

• 수록기간

  2001~2025

• 등재여부

  KCI 등재

• 십진분류

  KDC 326 DDC 380