Introducing and modeling inefficiency contributions

Mette Asmild, Dorte Kronborg and Kent Matthews

European Journal of Operational Research, 2016, vol. 248, issue 2, 725-730

Abstract: Whilst Data Envelopment Analysis (DEA) is the most commonly used non-parametric benchmarking approach, the interpretation and application of DEA results can be limited by the fact that radial improvement potentials are identified across variables. In contrast, Multi-directional Efficiency Analysis (MEA) facilitates analysis of the nature and structure of the inefficiencies estimated relative to variable-specific improvement potentials.

Keywords: Data Envelopment Analysis (DEA); Productivity and competitiveness; Multi-directional Efficiency Analysis (MEA); Directional data; Chinese banks (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:248:y:2016:i:2:p:725-730

DOI: 10.1016/j.ejor.2015.07.060

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