Endogenous dynamic inefficiency and optimal resource allocation: An application to the European Dietetic Food Industry
Magdalena Kapelko,
Alfons Oude Lansink and
José Zofío
European Journal of Operational Research, 2022, vol. 303, issue 3, 1444-1457
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.
Keywords: Data envelopment analysis; Adjustment costs; Dynamic cost inefficiency; Endogenous directional distance function (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221722003915
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:303:y:2022:i:3:p:1444-1457
DOI: 10.1016/j.ejor.2022.05.017
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().