Meta-data envelopment analysis: Finding a direction towards marginal profit maximization

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. (C) 2014 Elsevier B.V. All rights reserved.