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Endogenous dynamic inefficiency and optimal resource allocation: An application to the European Dietetic Food Industry

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  • Kapelko, Magdalena
  • Oude Lansink, Alfons
  • Zofío, José L.

Abstract

The conventional dynamic cost inefficiency model relies on the directional distance function with an exogenous directional vector to measure technical and allocative inefficiency. However, this approach may lead to contradictory recommendations for firms to become technically and allocatively efficient. By definition, the conventional model forces firms to reduce their inputs and increase their investments in order to become technically efficient; for some firms this is followed by the reverse recommendation to become allocatively efficient. This paper proposes a model that endogenizes the directional vector to solve for the cost minimizing combination of inputs and investments. In contrast to the conventional model with an exogenous directional vector, our model provides managers with monotonic prescriptions. We illustrate the superiority of the endogenous directional vector model over its conventional counterpart using a dataset of EU firms in the dietetic food industry. The differences in the managerial prescriptions are striking, with the conventional model wrongly recommending reductions in inputs that are underused with respect to their optimal amounts minimizing cost.

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  • Kapelko, Magdalena & Oude Lansink, Alfons & Zofío, José L., 2022. "Endogenous dynamic inefficiency and optimal resource allocation: An application to the European Dietetic Food Industry," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1444-1457.
  • Handle: RePEc:eee:ejores:v:303:y:2022:i:3:p:1444-1457
    DOI: 10.1016/j.ejor.2022.05.017
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    1. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    2. Kapelko, Magdalena & Oude Lansink, Alfons & Stefanou, Spiro E., 2014. "Assessing dynamic inefficiency of the Spanish construction sector pre- and post-financial crisis," European Journal of Operational Research, Elsevier, vol. 237(1), pages 349-357.
    3. R. Russell & William Schworm, 2009. "Axiomatic foundations of efficiency measurement on data-generated technologies," Journal of Productivity Analysis, Springer, vol. 31(2), pages 77-86, April.
    4. Mark Wright, 2018. "The Seniority Structure of Sovereign Debt," 2018 Meeting Papers 928, Society for Economic Dynamics.
    5. Leopold Simar & Valentin Zelenyuk, 2006. "On Testing Equality of Distributions of Technical Efficiency Scores," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
    6. Magdalena Kapelko, 2017. "Dynamic versus static inefficiency assessment of the Polish meat‐processing industry in the aftermath of the European Union integration and financial crisis," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 505-521, September.
    7. Aparicio, Juan & Ortiz, Lidia & Pastor, Jesus T., 2017. "Measuring and decomposing profit inefficiency through the Slacks-Based Measure," European Journal of Operational Research, Elsevier, vol. 260(2), pages 650-654.
    8. R. Färe & S. Grosskopf & G. Whittaker, 2013. "Directional output distance functions: endogenous directions based on exogenous normalization constraints," Journal of Productivity Analysis, Springer, vol. 40(3), pages 267-269, December.
    9. Jose Zofio & Jesus Pastor & Juan Aparicio, 2013. "The directional profit efficiency measure: on why profit inefficiency is either technical or allocative," Journal of Productivity Analysis, Springer, vol. 40(3), pages 257-266, December.
    10. Aparicio, Juan & Pastor, Jesus T. & Vidal, Fernando, 2016. "The weighted additive distance function," European Journal of Operational Research, Elsevier, vol. 254(1), pages 338-346.
    11. Elvira Silva & Spiro Stefanou, 2003. "Nonparametric Dynamic Production Analysis and the Theory of Cost," Journal of Productivity Analysis, Springer, vol. 19(1), pages 5-32, January.
    12. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    13. Pastor, J. T. & Ruiz, J. L. & Sirvent, I., 1999. "An enhanced DEA Russell graph efficiency measure," European Journal of Operational Research, Elsevier, vol. 115(3), pages 596-607, June.
    14. Cinzia Daraio & Léopold Simar, 2016. "Efficiency and benchmarking with directional distances: a data-driven approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(7), pages 928-944, July.
    15. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.
    16. Anthony N. Rezitis & Maria A. Kalantzi, 2016. "Investigating Technical Efficiency and Its Determinants by Data Envelopment Analysis: An Application in the Greek Food and Beverages Manufacturing Industry," Agribusiness, John Wiley & Sons, Ltd., vol. 32(2), pages 254-271, April.
    17. Mehdi Mili & Sami Gharbi & Frédéric Teulon, 2019. "Business ethics, company value and ownership structure," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(4), pages 973-987, December.
    18. Qiu, Lin & Chen, Wen & Wang, Fajie & Lin, Ji, 2019. "A non-local structural derivative model for memristor," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 169-177.
    19. Pastor, Jesus T. & Zofio, Jose L., 2017. "Can Farrell's allocative efficiency be generalized by the directional distance function approach?Author-Name: Aparicio, Juan," European Journal of Operational Research, Elsevier, vol. 257(1), pages 345-351.
    20. Mathias Dolls & Clemens Fuest & Carla Krolage & Florian Neumeier & Daniel Stöhlker, 2019. "Incentivising structural reforms in Europe?," EconPol Policy Brief 14, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    21. Aparicio, Juan & Pastor, Jesus T., 2014. "Closest targets and strong monotonicity on the strongly efficient frontier in DEA," Omega, Elsevier, vol. 44(C), pages 51-57.
    22. Elia Beniash & Cayla A. Stifler & Chang-Yu Sun & Gang Seob Jung & Zhao Qin & Markus J. Buehler & Pupa U. P. A. Gilbert, 2019. "The hidden structure of human enamel," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    23. Silva, Elvira & Lansink, Alfons Oude & Stefanou, Spiro E., 2015. "The adjustment-cost model of the firm: Duality and productive efficiency," International Journal of Production Economics, Elsevier, vol. 168(C), pages 245-256.
    24. Léopold Simar, 2003. "Detecting Outliers in Frontier Models: A Simple Approach," Journal of Productivity Analysis, Springer, vol. 20(3), pages 391-424, November.
    25. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    26. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    27. Fukuyama, Hirofumi & Matousek, Roman & Tzeremes, Nickolaos G., 2020. "A Nerlovian cost inefficiency two-stage DEA model for modeling banks’ production process: Evidence from the Turkish banking system," Omega, Elsevier, vol. 95(C).
    28. Loewald, Christopher & Wörgötter, Andreas, 2019. "Do monetary unions dream of structural reforms?," ECON WPS - Working Papers in Economic Theory and Policy 01/2019, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    29. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    30. Pedro M. G. Martins, 2019. "Structural change: Pace, patterns and determinants," Review of Development Economics, Wiley Blackwell, vol. 23(1), pages 1-32, February.
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