TY - JOUR
T1 - Econometric analysis of the R&D performance in the national hydrogen energy technology development for measuring relative efficiency
T2 - The fuzzy AHP/DEA integrated model approach
AU - Lee, Seong Kon
AU - Mogi, Gento
AU - Lee, Sang Kon
AU - Hui, K. S.
AU - Kim, Jong Wook
PY - 2010/3
Y1 - 2010/3
N2 - 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.
AB - 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.
KW - DEA
KW - Fuzzy AHP
KW - Hydrogen energy competitiveness
KW - MCDM
UR - http://www.scopus.com/inward/record.url?scp=76749148982&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-76749148982&origin=recordpage
U2 - 10.1016/j.ijhydene.2010.01.009
DO - 10.1016/j.ijhydene.2010.01.009
M3 - RGC 21 - Publication in refereed journal
SN - 0360-3199
VL - 35
SP - 2236
EP - 2246
JO - International Journal of Hydrogen Energy
JF - International Journal of Hydrogen Energy
IS - 6
ER -
