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Product mixes as objects of choice in nonparametric efficiency measurement

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  • Laurens Cherchye
  • Tom Van Puyenbroeck

Abstract

Non-radial measures of technical efficiency essentially differ from their radial counterparts in that the product mix of the efficient reference is allowed to be different from the product mix of the evaluated observation. Whereas existing non-radial measures are still based on the product mix of the evaluated, i.e. possibly inefficient observation, we change the perspective and propose a measure based on the mix properties of the efficient reference. The resulting `inverse' measure can be considered as complementary to the Färe-Lovell (or ``Russell'') efficiency measure.
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Suggested Citation

  • Laurens Cherchye & Tom Van Puyenbroeck, 1999. "Product mixes as objects of choice in nonparametric efficiency measurement," Working Papers of Department of Economics, Leuven 774266, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    • Handle: RePEc:ete:ceswps:774266
    Note: paper number 99.01
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    2. J. Vakili & R. Sadighi Dizaji, 2021. "The closest strong efficient targets in the FDH technology: an enumeration method," Journal of Productivity Analysis, Springer, vol. 55(2), pages 91-105, April.
    3. Hirofumi Fukuyama & Hiroya Masaki & Kazuyuki Sekitani & Jianming Shi, 2014. "Distance optimization approach to ratio-form efficiency measures in data envelopment analysis," Journal of Productivity Analysis, Springer, vol. 42(2), pages 175-186, October.
    4. Javad Vakili & Hanieh Amirmoshiri & Rashed Khanjani Shiraz & Hirofumi Fukuyama, 2020. "A modified distance friction minimization approach in data envelopment analysis," Annals of Operations Research, Springer, vol. 288(2), pages 789-804, May.
    5. Cherchye, Laurens & Van Puyenbroeck, Tom, 2009. "Semi-radial technical efficiency measurement," European Journal of Operational Research, Elsevier, vol. 193(2), pages 616-625, March.
    6. Halická, Margaréta & Trnovská, Mária, 2018. "The Russell measure model: Computational aspects, duality, and profit efficiency," European Journal of Operational Research, Elsevier, vol. 268(1), pages 386-397.
    7. Maria Silva Portela & Pedro Borges & Emmanuel Thanassoulis, 2003. "Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies," Journal of Productivity Analysis, Springer, vol. 19(2), pages 251-269, April.
    8. Laurens Cherchye & Tom Van Puyenbroeck, 2001. "Technical Efficiency Evaluation: Naturally Dual!," Public Economics Working Paper Series wptchff, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
    9. Laurens CHERCHYE & Tom VAN PUYENBROECK, 1999. "A Shadow Price Approach to Technical Efficiency Measurement," Working Papers of Department of Economics, Leuven ces9924, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

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