Returns-to-scale properties in DEA models: the fundamental role of interior points

Vladimir Krivonozhko, Finn Førsund and Andrey Lychev

Journal of Productivity Analysis, 2012, vol. 38, issue 2, 130 pages

Abstract: Attempts can be found in the data envelopment analysis (DEA) literature to identify returns to scale at efficient interior points of a face on the basis of returns to scale at points of the corresponding reference sets of the production possibility set. The purpose of this paper is to show that only an interior point of a face can identify returns-to-scale properties of points lying on this face. We consider all possible cases of dispositions of faces from this point of view. Returns-to-scale properties of the corresponding reference units are then established. We also show that to find returns-to-scale at an interior point of a face is a much easier problem than to find all vertices of this face. Copyright Springer Science+Business Media, LLC 2012

Keywords: Returns to scale; DEA; Interior points; Vertices; C61; D20 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11123-011-0253-z (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Returms-to-scale Properties in DEA Models: The Fundamental Role of Interior Points (2009)
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:kap:jproda:v:38:y:2012:i:2:p:121-130

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1007/s11123-011-0253-z

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().