Equivalent standard DEA models to provide super-efficiency scores

Lovell, C. A. K. and Rouse, P. B. (2003) Equivalent standard DEA models to provide super-efficiency scores. The Journal of the Operational Research Society, 54 1: 101-108. doi:10.1057/palgrave.jors.2601483

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Author Lovell, C. A. K.
Rouse, P. B.
Title Equivalent standard DEA models to provide super-efficiency scores
Journal name The Journal of the Operational Research Society   Check publisher's open access policy
ISSN 0160-5682
1476-9360
Publication date 2003-01
Sub-type Article (original research)
DOI 10.1057/palgrave.jors.2601483
Open Access Status File (Author Post-print)
Volume 54
Issue 1
Start page 101
End page 108
Total pages 8
Place of publication Birmingham, U.K.
Publisher Palgrave Macmillan
Language eng
Subject 1503 Business and Management
1401 Economic Theory
Abstract DEA super-efficiency models were introduced originally with the objective of providing a tie-breaking procedure for ranking units rated as efficient in conventional DEA models. This objective has been expanded to include sensitivity analysis, outlier identification and inter-temporal analysis. However, not all units rated as efficient in conventional DEA models have feasible solutions in DEA super-efficiency models. We propose a new super-efficiency model that (a) generates the same super-efficiency scores as conventional super-efficiency models for all units having a feasible solution under the latter, and (b) generates a feasible solution for all units not having a feasible solution under the latter. Empirical examples are provided to compare the two super-efficiency models.
Keyword Models
Super-efficiency
Data envelopment analysis
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Economics Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 49 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 66 times in Scopus Article | Citations
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Created: Tue, 15 Dec 2009, 15:46:27 EST by Michael Affleck on behalf of Faculty of Business, Economics & Law