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Introducing and modeling inefficiency contributions

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  • Asmild, Mette
  • Kronborg, Dorte
  • Matthews, Kent

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.

Suggested Citation

  • Asmild, Mette & Kronborg, Dorte & Matthews, Kent, 2016. "Introducing and modeling inefficiency contributions," European Journal of Operational Research, Elsevier, vol. 248(2), pages 725-730.
    • Handle: RePEc:eee:ejores:v:248:y:2016:i:2:p:725-730
    DOI: 10.1016/j.ejor.2015.07.060
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    2. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2018. "Assessing the regional efficiency of Swedish agriculture under the CAP ‒ a multidirectional efficiency approach," 162nd Seminar, April 26-27, 2018, Budapest, Hungary 271971, European Association of Agricultural Economists.
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