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: | Reports and Papers (Working paper) |
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| 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: | 05 Nov 2024 09:40 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/8506 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Liu, Wenbin.
| Creator's ORCID: |
 https://orcid.org/0000-0001-5966-6235
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