Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency:The fuzzy AHP/DEA integrated model approach

Lee, Seong Kon, Mogi, Gento, Lee, Sang Kon, Hui, K. S. and Kim, Jong Wook (2010) Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency:The fuzzy AHP/DEA integrated model approach. International Journal of Hydrogen Energy, 35 (6). pp. 2236-2246. ISSN 0360-3199

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Abstract

Hydrogen energy technology can be one of the best key players related to the sector of the United Nations Framework Convention on Climate Change (UNFCCC) and the hydrogen economy. Comparing to other technologies, hydrogen energy technology is more environmentally sound and friendly energy technology and has great potential as a future dominant energy carrier. Advanced nations including Korea have been focusing on the development of hydrogen energy technology R&D for the sustainable development and low carbon green society. In this paper, we applied the integrated fuzzy analytic hierarchy process (Fuzzy AHP) and the data envelopment analysis (DEA) for measuring the relative efficiency of the R&D performance in the national hydrogen energy technology development. On the first stage, the fuzzy AHP effectively reflects the vagueness of human thought. On the second stage, the DEA approach measures the relative efficiency of the national R&D performance in the sector of hydrogen energy technology development with economic viewpoints. The efficiency score can be the fundamental data for policymakers for the well focused R&D planning. Crown

Item Type: Article
Uncontrolled Keywords: dea,fuzzy ahp,hydrogen energy competitiveness,mcdm
Faculty \ School: Faculty of Science > School of Mathematics
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Depositing User: Pure Connector
Date Deposited: 04 Oct 2016 12:02
Last Modified: 24 Jul 2019 22:52
URI: https://ueaeprints.uea.ac.uk/id/eprint/60706
DOI: 10.1016/j.ijhydene.2010.01.009

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