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Returns to scale in convex production technologies

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journal contribution
posted on 2016-10-05, 11:10 authored by Victor PodinovskiVictor Podinovski
The notion of returns to scale (RTS) is well-established in data envelopment analysis (DEA). In the variable returns-to-scale production technology, the RTS characterization is closely related to other scale characteristics, such as the scale elasticity, most productive scale size (MPSS), and global RTS types indicative of the direction to MPSS. In recent years, a number of alternative production technologies have been developed in the DEA literature. Most of these technologies are polyhedral, and hence are closed and convex sets. Examples include technologies with weakly disposable undesirable outputs, models with weight restrictions and production trade-offs, technologies that include several component production processes, and network DEA models. For most of these technologies, the relationship between RTS and other scale characteristics has remained unexplored. The theoretical results obtained in this paper establish such relationships for a very large class of closed convex technologies, of which polyhedral technologies are an important example.

History

School

  • Business and Economics

Department

  • Business

Published in

European Journal of Operational Research

Citation

PODINOVSKI, V.V., 2016. Returns to scale in convex production technologies. European Journal of Operational Research, 258 (3), pp.970-982.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

2016-09-16

Publication date

2016

Notes

This paper was published in the journal European Journal of Operational Research and the definitive published version is available at https://doi.org/10.1016/j.ejor.2016.09.029.

ISSN

0377-2217

Language

  • en