Multi-level DEA Approach in Research Evaluation

Liu, Wenbin and Meng, Wei and Zhang, Daqun (2007) Multi-level DEA Approach in Research Evaluation. Working paper. Kent Business School, University of Kent, Canterbury (Full text available)

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It is well known that the discrimination power of DEA models will be diminishing if too many inputs or outputs are used. It is a dilemma if the decision makers want to select comprehensive indicators to present a relatively holistic evaluation using DEA. In this work we show that by utilizing hierarchical structures of input-output data DEA can handle quite large numbers of inputs and outputs. We present two approaches in a pilot evaluation of 15 institutes for basic research in Chinese Academy of Sciences using DEA models.

Item Type: Monograph (Working paper)
Additional information: Working Paper No. 140
Uncontrolled keywords: hierarchical structures; discrimination power; DEA; research evaluation
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Faculties > Social Sciences > Kent Business School
Depositing User: Steve Wenbin Liu
Date Deposited: 23 Jul 2008 13:13 UTC
Last Modified: 07 Mar 2017 09:10 UTC
Resource URI: (The current URI for this page, for reference purposes)
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