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

Volumn 35, Issue 6, 2010, Pages 2236-2246

  Lee, Seong Kon ^a   Mogi, Gento ^b   Lee, Sang Kon ^c   Hui, K S ^d   Kim, Jong Wook ^a  

^a Korea Institute of Energy Research (KIER)   (South Korea)

^b UNIVERSITY OF TOKYO   (Japan)

^c Pusan National University   (South Korea)

^d CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

DEA; Fuzzy AHP; Hydrogen energy competitiveness; MCDM

Indexed keywords

ECONOMETRIC ANALYSIS; ENERGY CARRIERS; ENERGY TECHNOLOGIES; FUZZY AHP; FUZZY ANALYTIC HIERARCHY PROCESS; HYDROGEN ECONOMY; HYDROGEN ENERGY COMPETITIVENESS; HYDROGEN ENERGY TECHNOLOGY; INTEGRATED MODELS; LOW CARBON; POLICY MAKERS; RELATIVE EFFICIENCY; UNITED NATIONS FRAMEWORK CONVENTION ON CLIMATE CHANGES;

ANALYTIC HIERARCHY PROCESS; COMPETITION; DATA ENVELOPMENT ANALYSIS; GLOBAL WARMING; HIERARCHICAL SYSTEMS; STRATEGIC PLANNING; TECHNOLOGICAL FORECASTING; TECHNOLOGY;

HYDROGEN;

EID: 76749148982     PISSN: 03603199     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijhydene.2010.01.009     Document Type: Article

References (22)

1. Saaty T.L. The Analytic Hierarchy Process. 1st ed. (1980), McGraw-Hill, New York
2. Lee S.K., Mogi G., and Kim J.W. The competitiveness of Korea as a developer of hydrogen energy technology: the AHP approach. Energy Policy 36 4 (2008) 1284-1291
3. Lee S.K., Mogi G., and Kim J.W. A fuzzy analytic hierarchy process approach for assessing national competitiveness in the hydrogen technology sector. International Journal of Hydrogen Energy 33 23 (2008) 6840-6848
4. Lee S.K., Yoon Y.J., and Kim J.W. A study on making a long-term improvement in the national energy efficiency and GHG control plans by the AHP approach. Energy Policy 35 5 (2007) 2862-2868
5. Zadeh L.A. Fuzzy sets. Information and Control 8 (1965) 338-353
6. Saaty T.L. How to make a decision: the analytic hierarchy process. European Journal of Operational Research 48 (1992) 9-26
7. Lee S.K., Mogi G., and Kim J.W. Decision support for prioritizing energy technologies against high oil prices: a fuzzy analytic hierarchy process approach. Journal of Loss Prevention in the Process Industries 22 6 (2009) 915-920
8. Lee SK, Mogi G, Lee SK, Kim JW. Prioritizing the weights of hydrogen energy technologies in the sector of the hydrogen economy by using a fuzzy AHP approach. International Journal of Hydrogen Energy inpress, doi:10.1016/j.ijhydene.2010.01.035.
9. Chang D.Y. Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research 95 (1996) 649-655
10. Schaffnit C., Rosen D., and Paradi J.C. Best practice analysis of bank branches: an application of DEA in a large Canadian bank. European Journal of Operational Research 98 (1997) 269-289
11. Mahajan J. A data envelopment analytic model for assessing the relative efficiency of the selling function. European Journal of Operational Research 53 (1991) 189-205
12. Chang H.H. Determinants of hospital efficiency: the case of Central Government-owned hospitals in Taiwan. Omega 26 (1998) 307-317
13. Casu B., and Thanassoulis E. Evaluating cost efficiency in central administrative services in UK universities. Omega 34 (2006) 417-426
14. Vitner G., Rozenes S., and Spraggett S. Using data envelope analysis to compare project efficiency in a multi-project environment. International Journal of Project Management 24 (2006) 323-329
15. Lee S.K., Mogi G., and Kim J.W. A fuzzy AHP/DEA hybrid model for allocating energy R&D resources efficiently: in case of energy technologies against high oil prices. 7th International Conference on Sustainable Energy Technologies (2008) 2042-2049
16. Lee S.K., Mogi G., and Kim J.W. A fuzzy AHP/DEA approach for selecting an efficiency frontier group: technologies for the UNFCCC. Renewable Energy 4 (2008)
17. Lee S.K., Mogi G., and Kim J.W. Multi-criteria decision making for measuring relative efficiency of greenhouse gas technologies: AHP/DEA hybrid model approach. Engineering Letters 16 4 (2008) 493-497
18. Charnes A., Cooper W.W., and Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research 2 6 (1978) 429-444
19. IEA/OECD, Hydrogen & Fuelcells-Reviews of National R&D Programs, 2004.
20. Fuelcells 2006. Available at: (2006). http://www.fuelcells.org/info/charts/h2fuelingstations.pdf
21. Worldwise hydrogen fueling stations, fuel cells 2000. Available at:. http://www.fuelcells.org/info/charts/h2fuelingstations.pdf
22. Lee S.K., Mogi G., and Kim J.W. Energy technology roadmap for the next 10 years: the case of Korea. Energy Policy 37 2 (2009) 588-596