Exploration of efficiency underestimation of CCR model: Based on medical sectors with DEA-R model

Ching K. Wei, Liang Chih Chen, Rong-Kwei Li, Chih Hung Tsai*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Data Envelopment Analysis (DEA) is one of the best-known efficiency evaluation methods due to its advantages in selection of weights. Many research papers have extensively discussed the issue of weight restrictions, rather than those implied in the model itself. However, this often leads to a failure to represent the relations of certain weights, as well as underestimation of the efficiency of Decision Making Units (DMUs). When analyzing the medical sectors of Taiwan with the developed models and CCR, it is found that efficiency underestimation by efficient DMUs is more serious than that of inefficient DMUs. In addition, underestimation occurs when weights are concentrated in the same output, however, every output of referenced DMU is the same times of corresponding output of targeted DMU.

Original languageEnglish
Pages (from-to)3155-3160
Number of pages6
JournalExpert Systems with Applications
Volume38
Issue number4
DOIs
StatePublished - 1 Apr 2011

Keywords

  • Data Envelopment Analysis
  • Decision Making Unit
  • Weight restriction

Fingerprint Dive into the research topics of 'Exploration of efficiency underestimation of CCR model: Based on medical sectors with DEA-R model'. Together they form a unique fingerprint.

Cite this