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Luenberger-type indicators based on the weighted additive distance function

Author

Listed:
  • Juan Aparicio

    (University Miguel Hernandez of Elche)

  • Fernando Borras

    (University Miguel Hernandez of Elche)

  • Lidia Ortiz

    (University Miguel Hernandez of Elche)

  • Jesus T. Pastor

    (University Miguel Hernandez of Elche)

  • Fernando Vidal

    (University Miguel Hernandez of Elche)

Abstract

This paper proposes two new Luenberger-type indicators, one for measuring productivity change of decision making units in the full input–output space, and the other for determining profit inefficiency change over time when information on market prices is also available. Both approaches are based upon the recently introduced weighted additive distance function, which permits the well-known weighted additive model in data envelopment analysis to be endowed with a distance function structure. We also show how the two indicators may be decomposed into their drivers.

Suggested Citation

  • Juan Aparicio & Fernando Borras & Lidia Ortiz & Jesus T. Pastor & Fernando Vidal, 2019. "Luenberger-type indicators based on the weighted additive distance function," Annals of Operations Research, Springer, vol. 278(1), pages 195-213, July.
  • Handle: RePEc:spr:annopr:v:278:y:2019:i:1:d:10.1007_s10479-017-2620-2
    DOI: 10.1007/s10479-017-2620-2
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    References listed on IDEAS

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    Cited by:

    1. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.
    2. Aparicio, Juan & Zofío, José L., 2023. "Decomposing profit change: Konüs, Bennet and Luenberger indicators," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    3. Juan Aparicio & José L. Zofío, 2020. "New Definitions of Economic Cross-efficiency," International Series in Operations Research & Management Science, in: Juan Aparicio & C. A. Knox Lovell & Jesus T. Pastor & Joe Zhu (ed.), Advances in Efficiency and Productivity II, pages 11-32, Springer.

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