Efficiency Evaluations Based on Potential (Non-Proportional) Improvements
Peter Bogetoft and
Jens Hougaard ()
Journal of Productivity Analysis, 1999, vol. 12, issue 3, 233-247
Abstract:
Efficiency evaluation of a Decision Making Unit (DMU) involves two issues: 1) selection of an appropriate reference plan against which to evaluate the DMU and 2) measurement of performance slack. In the literature, these issues are mixed in one and the same operation but we argue that it has theoretical as well as practical advantages to separate them. We provide an axiomatic characterization of the implicit Farrell selection. This approach, ignores important aspects of the technology by focussing on proportional variations in inputs (or outputs). We propose a new approach where potential improvements are used to guide the selection of reference plans. A characterization of this approach is provided and an associated translation invariant, strictly monotonous and continuous efficiency index is suggested. Copyright Kluwer Academic Publishers 1999
Keywords: Evaluation; peer selection; efficiency index; DEA (search for similar items in EconPapers)
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (79)
Downloads: (external link)
http://hdl.handle.net/10.1023/A:1007848222681 (text/html)
Access to full text is restricted to subscribers.
Related works:
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:12:y:1999:i:3:p:233-247
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
DOI: 10.1023/A:1007848222681
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 ().