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 Copyright © 2010.
| Original language | English |
|---|---|
| Pages (from-to) | 2236-2246 |
| Journal | International Journal of Hydrogen Energy |
| Volume | 35 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Mar 2010 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 8 Decent Work and Economic Growth
-
SDG 13 Climate Action
-
SDG 17 Partnerships for the Goals
Research Keywords
- DEA
- Fuzzy AHP
- Hydrogen energy competitiveness
- MCDM
Fingerprint
Dive into the research topics of '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'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver