AGGREGATED RATIO ANALYSIS IN DEA

Desheng Wu (), Liang Liang (), Zhimin Huang () and Susan X. Li ()
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Desheng Wu: School of Business, University of Science and Technology of China, He Fei, An Hui Province 230026, P. R. China
Liang Liang: School of Business, University of Science and Technology of China, He Fei, An Hui Province 230026, P. R. China
Zhimin Huang: School of Business, Adelphi University, Garden City, New York 11530, USA
Susan X. Li: School of Business, Adelphi University, Garden City, New York 11530, USA

International Journal of Information Technology & Decision Making (IJITDM), 2005, vol. 04, issue 03, 369-384

Abstract: This paper proposes an aggregated ratio analysis model which can be utilized to evaluate relative efficiency of decision making units (DMUs). We show that our proposed ratio model is equivalent to the CCR DEA model. This equivalence property offers a great deal of opportunities for DEA to be interpreted and applied in different ways. Our model also offers an insight into the frontier analysis. Whether a DMU is on the frontier or efficient frontier can be informed by using our aggregated ratio analysis. Several results developed in the paper are coincident with that in the literature.

Keywords: Data Envelopment Analysis (DEA); aggregated ratio analysis model; efficiency; frontier (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (4)

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DOI: 10.1142/S0219622005001593

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