.png){kind=icon}
返回
Benefit-cost analysis using data envelopment analysis
.png){kind=icon}
PRE
AI
DOI：10.1007/s10479-006-0036-5.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Benefit-cost analysis is required by law and regulation throughout the federal government. Robert Dorfman (1996) declares Three prominent shortcomings of benefit-cost analysis as currently practiced are (1) it does not identify the population segments that the proposed measure benefits or harms (2) it attempts to reduce all comparisons to a single dimension, generally dollars and cents and (3) it conceals the degree of inaccuracy or uncertainty in its estimates. The paper develops an approach for conducting benefit-cost analysis derived from data envelopment analysis (DEA) that overcomes each of Dorfman's objections. The models and methodology proposed give decision makers a tool for evaluating alternative policies and projects where there are multiple constituencies who may have conflicting perspectives. This method incorporates multiple incommensurate attributes while allowing for measures of uncertainty. An application is used to illustrate the method.
Keyword:
benefit-cost analysis
data envelopment analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.5
论文数:
8.1K
被引数:
2.1W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏
分享收藏
查看更多内容