Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/26610

Title: Nonparametric production technologies with weakly disposable inputs
Authors: Mehdiloozad, Mahmood
Podinovski, Victor V.
Keywords: Data envelopment analysis
Production technology
Weak input disposability
Congestion
Issue Date: 2017
Publisher: © Elsevier
Citation: MEHDILOOZAD, M. and PODINOVSKI, V.V., 2017. Nonparametric production technologies with weakly disposable inputs. European Journal of Operational Research, doi: 10.1016/j.ejor.2017.09.030.
Abstract: In models of production theory and efficiency analysis, the inputs and outputs are assumed to satisfy some form of disposability. In this paper, we consider the assumption of weak input disposability. It states that any activity remains feasible if its inputs are simultaneously scaled up in the same proportion. As suggested in the literature, the Shephard technology incorporating weak input disposability could be used to evaluate the effect of input congestion. We show that the Shephard technology is not convex and therefore introduces bias in evaluation of congestion. To address this, we develop an alternative convex technology whose use in the evaluation of congestion removes the noted bias. We undertake a further axiomatic investigation and obtain a range of production technologies, all of which exhibit weak input disposability but are based on different, progressively relaxed, convexity assumptions. Apart from the evaluation of input congestion, such technologies should also be useful in applications in which some inputs are closely related or are overlapping, and therefore satisfy only the weak input disposability assumption incorporated in the new models.
Description: This paper is closed access until 23rd September 2019.
Version: Accepted for publication
DOI: 10.1016/j.ejor.2017.09.030
URI: https://dspace.lboro.ac.uk/2134/26610
Publisher Link: https://doi.org/10.1016/j.ejor.2017.09.030
ISSN: 0377-2217
Appears in Collections:Closed Access (Business School)

Files associated with this item:

File Description SizeFormat
EJOR paper.pdfAccepted version474.05 kBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.