Entropy, efficiency and the productivity index numbers

被引：0
|
作者：
Sengupta, JK
机构：
[1] Department of Economics, University of California, Santa Barbara, CA
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 1996年 / 27卷 / 12期
关键词：
D O I：
10.1080/00207729608929326
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Data envelopment analysis (DEA) provides a method for determining the efficiency levels of a set of decision-making units, and this efficiency distribution has several stochastic aspects due to the random components in inputs and output. Two approaches are developed here to analyse the efficiency distribution. One is the index number approach and the other the entropy criterion of information theory. Their link to the DEA approach is illustrated by several examples. All the illustrative applications emphasize the practical usefulness of the two approaches: the index number and the entropy.
引用
收藏
页码：1195 / 1204
页数：10
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