A well-defined efficiency measure for dealing with closest targets in DEA

作者：Aparicio Juan^*; Pastor Jesus T

来源：Applied Mathematics and Computation, 2013, 219(17): 9142-9154.

DOI：10.1016/j.amc.2013.03.042

• Data Envelopment Analysis
• Closest targets
• Strong monotonicity

The problem of deriving the closest projection to the efficient frontier has been one of the relevant issues in recent Data Envelopment Analysis (DEA) literature. One of the challenges related to this issue is to find a 'well-defined' efficiency measure. Overall, this means that the measure should satisfy a set of interesting properties from an economical and mathematical point of view. Regarding this point, an unsettled question so far is whether there exists a well-defined efficiency measure based on closest targets in DEA. Working on this problem, in this paper we show a solution for output-oriented models. In particular, we prove that, working with full dimensional efficient facets (FDEFs), anew Russell output measure of technical efficiency satisfies the general requirements that every well-defined efficiency measure should meet.

• 出版日期2013-5-1