Productivity measurement in radial DEA models with a single constant input

Karagiannis, Giannis and Lovell, C. A. Knox (2016) Productivity measurement in radial DEA models with a single constant input. European Journal of Operational Research, 251 1: 323-328. doi:10.1016/j.ejor.2015.12.013

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Author Karagiannis, Giannis
Lovell, C. A. Knox
Title Productivity measurement in radial DEA models with a single constant input
Journal name European Journal of Operational Research   Check publisher's open access policy
ISSN 0377-2217
Publication date 2016-05-16
Year available 2015
Sub-type Article (original research)
DOI 10.1016/j.ejor.2015.12.013
Open Access Status File (Author Post-print)
Volume 251
Issue 1
Start page 323
End page 328
Total pages 6
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Subject 2611 Modelling and Simulation
1803 Management Science and Operations Research
1802 Information Systems and Management
Abstract We consider productivity measurement based on radial DEA models with a single constant input. We show that in this case the Malmquist and the Hicks-Moorsteen productivity indices coincide and are multiplicatively complete, the choice of orientation of the Malmquist index for the measurement of productivity change does not matter, and there is a unique decomposition of productivity change containing two independent sources, namely technical efficiency change and technical change. Technical change decomposes in an infinite number of ways into a radial magnitude effect and an output bias effect. We also show that the aggregate productivity index is given by the geometric mean between any two periods of the simple arithmetic averages of the individual contemporaneous and mixed period distance functions.
Keyword Aggregation
Malmquist and Hicks-Moorsteen productivity indices
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Economics Publications
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 9 times in Scopus Article | Citations
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Created: Wed, 20 Jan 2016, 17:58:00 EST by Professor Knox Lovell on behalf of School of Economics