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Selective strong and weak disposability in efficiency analysis

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journal contribution
posted on 01.02.2019, 13:28 by Mahmood Mehdiloo, Victor PodinovskiVictor Podinovski
The conventional constant and variable returns-to-scale models of data envelopment analysis (DEA) incorporate the assumption of strong, or free, disposability. According to this assumption, each input can be increased and each output can be reduced independently of the other measures. In this paper we argue that this assumption may not be suitable in applications in which some inputs or outputs are closely related to each other. Assuming strong disposability of such closely related measures may lead to unrealistic input and output profiles, and result in meaningless efficiency scores. Examples include inputs and outputs that are strongly correlated, represent overlapping measures or situations in which one measure is a subset of another. In this paper we develop production technologies that allow the specification of groups of closely related inputs and outputs which are only jointly weakly disposable. This assumption does not change the existing proportions between the closely related measures in the same group. We demonstrate the usefulness of the suggested approach by computational experiments.

History

School

  • Business and Economics

Department

  • Business

Published in

European Journal of Operational Research

Volume

276

Issue

3

Pages

1154-1169

Citation

MEHDILOO, M. and PODINOVSKI, V.V., 2019. Selective strong and weak disposability in efficiency analysis. European Journal of Operational Research, 276 (3), pp.1154-1169.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This paper was accepted for publication in the journal European Journal of Operational Research and the definitive published version is available at https://doi.org/10.1016/j.ejor.2019.01.064

Acceptance date

25/01/2019

Publication date

2019-02-01

Copyright date

2019

Notes

This paper is in closed access until 1st Feb 2021.

ISSN

0377-2217

Language

en