首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Meta-data envelopment analysis: Finding a direction towards marginal profit maximization
Authors:Chia-Yen Lee
Institution:Institute of Manufacturing Information and Systems, National Cheng Kung University, Tainan City 701, Taiwan
Abstract:This paper discusses a new meta-DEA approach to solve the problem of choosing direction vectors when estimating the directional distance function. The proposed model emphasizes finding the “direction” for productivity improvement rather than estimating the “score” of efficiency; focusing on “planning” over “evaluation”. In fact, the direction towards marginal profit maximization implies a step-by-step improvement and “wait-and-see” decision process, which is more consistent with the practical decision-making process. An empirical study of U.S. coal-fired power plants operating in 2011 validates the proposed model. The results show that the efficiency measure using the proposed direction is consistent with all other indices with the exception of the direction towards the profit-maximized benchmark. We conclude that the marginal profit maximization is a useful guide for determining direction in the directional distance function.
Keywords:Data envelopment analysis (DEA)  Directional distance function (DDF)  Marginal profit maximization  Directional marginal productivity  Coal-fired power plant
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号