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

doi:10.1016/j.ijhydene.2010.01.009

Author(s)

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

Detail(s)

Original language	English
Pages (from-to)	2236-2246
Journal / Publication	International Journal of Hydrogen Energy
Volume	35
Issue number	6
Publication status	Published - Mar 2010

Link(s)

DOI	DOI https://doi.org/10.1016/j.ijhydene.2010.01.009 Final Published version
	Check@CityULib
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-76749148982&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(87660f27-c630-4bb5-8bf3-16dfb108756a).html

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.