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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 (KAR id:8506)

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Abstract

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: Divisions > Kent Business School - Division > Kent Business School (do not use)
Depositing User: Steve Liu
Date Deposited: 23 Jul 2008 13:13 UTC
Last Modified: 16 Nov 2021 09:46 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/8506 (The current URI for this page, for reference purposes)
Liu, Wenbin: https://orcid.org/0000-0001-5966-6235
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