Estimating and decomposing overall inefficiency by determining the least distance to the strongly efficient frontier in data envelopment analysis

Author:

Aparicio JuanORCID,Pastor Jesus T.,Sainz-Pardo Jose L.,Vidal Fernando

Funder

Spanish Ministry for Economy and Competitiveness

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Computational Theory and Mathematics,Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Modelling and Simulation,Numerical Analysis

Reference47 articles.

1. Amirteimoori A, Kordrostami S (2010) A Euclidean distance-based measure of efficiency in data envelopment analysis. Optimization 59:985–996

2. Ando K, Kai A, Maeda Y, Sekitani K (2012) Least distance based inefficiency measures on the Pareto-efficient frontier in DEA. J Oper Res Soc Japan 55:73–91

3. Ando K, Minamide M, Sekitani K (2017) Monotonicity of minimum distance inefficiency measures for data envelopment analysis. Eur J Oper Res 260(1):232–243

4. Aparicio J, Pastor JT (2013) A well-defined efficiency measure for dealing with closest targets in DEA. Appl Math Comput 219:9142–9154

5. Aparicio J, Pastor JT (2014a) On how to properly calculate the Euclidean distance-based measure in DEA. Optimization 63(3):421–432

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