论文信息 - Overview on Data Envelopment Analysis

Overview on Data Envelopment Analysis

The chapter provides a general introductory overview of data envelopment analysis. Its main purpose is to introduce the reader to the major concepts underlying this nonparametric technique. After familiarizing the reader with the general process used in calculating the scores of relative efficiency, the chapter presents an overview of various orientations and types of DEA models. In conclusion, the chapter gives an overview of using DEA for the purposes of constructing Malmquist index, a popular tool for measuring changes in efficiency over time; a brief example is used to illustrate major points.

Sergey Samoilenko | Sergey Samoilenko

[1] C. Lovell,et al. A note on the Malmquist productivity index , 1995 .

[2] William W. Cooper,et al. Data Envelopment Analysis: History, Models, and Interpretations , 2011 .

[3] Jeewon Choi,et al. A framework for benchmarking service process using data envelopment analysis and decision tree , 2007, Expert Syst. Appl..

[4] R. Färe,et al. Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries , 1994 .

[5] Emili Grifell-Tatjé,et al. Profits and Productivity , 1999 .

[6] A. Charnes,et al. Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[7] S. Malmquist. Index numbers and indifference surfaces , 1953 .

[8] L. R. Christensen,et al. THE ECONOMIC THEORY OF INDEX NUMBERS AND THE MEASUREMENT OF INPUT, OUTPUT, AND PRODUCTIVITY , 1982 .