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

Seong Kon Lee, Gento Mogi, Sang Kon Lee, K. S. Hui, Jong Wook Kim

Research output: Contribution to journalArticlepeer-review

66 Citations (Scopus)

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

Original languageEnglish
Pages (from-to)2236-2246
Number of pages11
JournalInternational Journal of Hydrogen Energy
Volume35
Issue number6
Early online date1 Feb 2010
DOIs
Publication statusPublished - Mar 2010

Keywords

  • DEA
  • Fuzzy AHP
  • Hydrogen energy competitiveness
  • MCDM

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