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/2134/26133

Title: Nonparametric production technologies with multiple component processes
Authors: Podinovski, Victor V.
Olesen, Ole Bent
Sarrico, Claudia S.
Keywords: Data envelopment analysis
Efficiency
Multiple-component technology
Secondary education
Issue Date: 2017
Publisher: (Institute for Operations Research and Management Sciences (INFORMS)
Citation: PODINOVSKI, V.V., OLESEN, O.B. and SARRICO, C.S., 2017. Nonparametric production technologies with multiple component processes. Operations Research, In Press.
Abstract: We develop a nonparametric methodology for assessing the efficiency of decision making units operating in a production technology with several component processes. The latter is modeled by the new multiple hybrid returns-to-scale (MHRS) technology, formally derived from an explicitly stated set of production axioms. In contrast with the existing models of data envelopment analysis (DEA), the MHRS technology allows the incorporation of component-specific and shared inputs and outputs that represent several proportional (scalable) component production processes, as well as nonproportional inputs and outputs. Our approach does not require information about the allocation of shared inputs and outputs to component processes or any assumptions about this allocation. We demonstrate the usefulness of the suggested approach in an application in the context of secondary education, and also in a Monte Carlo study based on a simulated data generating process.
Description: This paper is in closed access until it is published.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/26133
Publisher Link: http://pubsonline.informs.org/journal/opre
ISSN: 0030-364X
Appears in Collections:Closed Access (Business School)

Files associated with this item:

File Description SizeFormat
Operations Research VP.pdfAccepted version239.41 kBAdobe PDFView/Open

 

SFX Query

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