R&D advancement, technology diffusion, and impact on evaluation of public R&D

Energy Policy

Volumn 35, Issue 3, 2007, Pages 1464-1473

  Moore, Michal C ^a   Arent, Douglas J ^a   Norland, Douglas ^a  

^a NATIONAL RENEWABLE ENERGY LABORATORY   (United States)

Author keywords

Economic benefits evaluation; Market penetration; Product innovations

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; FORECASTING; REGULATORY COMPLIANCE; RESEARCH AND DEVELOPMENT MANAGEMENT; SENSITIVITY ANALYSIS; SOCIETIES AND INSTITUTIONS; TECHNOLOGY;

ECONOMIC-BENEFITS EVALUATION; ENERGY RESEARCH; MARKET PENETRATION; PRODUCT INNOVATIONS; TECHNOLOGY DIFFUSION;

ENERGY POLICY;

COST-BENEFIT ANALYSIS; FORECASTING METHOD; RESEARCH AND DEVELOPMENT; SENSITIVITY ANALYSIS; TECHNOLOGY DIFFUSION;

EID: 33845249474     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2006.03.009     Document Type: Article

References (25)

1. Agarwal, R., Bayus, B., 2002. The market evolution and sales take-off of product innovations. University of Illinois at Urbana Working Paper.
2. Bass F.M. A new product growth model for consumer durables. Management 15 (1969) 215-227
3. Caplin, A., Leahy, J., 2004. The Social Discount Rate, University Working Paper, New York.
4. d'Estaing V.G. The Second World Almanac Book of Inventions (1986), Pharos Books, New York
5. Dalal, S.R., Ho, Y.-Y., Sherman, R.P., 1998. Learning From Experience To Improve Early Forecasts: A Posterior Mode Approach. Business & Economics for the 21st Century, vol. II. Business and Economics Society International.
6. Elliott, D.B., et al., 2004. Methodological framework for analysis of buildings-related programs: the GPRA metrics effort. PNNL Report 14697.
7. Garber, T., Goldenberg, J., Libai, B., Muller, E., 2004. From density to destiny: use of spatial analysis for early prediction of new product success. Marketing Science.
8. Gellman Associates, 1976. Indicators of International Trends in Technology Innovation. Report to the National Science Foundation
9. Georghiou L., and Roesner D. Evaluating technology programs: tools and methods. Research Policy 29 (2000) 657-678
10. Grubler, A., 1997. Time for a change: on the patterns of diffusion and innovation. In: Technological Trajectories and The Human Environment. National Academies Press.
11. Grubler A., Nakicenovic N., and Victor D. Dynamics of energy technologies and global change. Energy Policy 27 (1999) 247-280
12. Jones C.I., and Williams J.C. Measuring the social return to R&D. Quarterly Journal of Economics 113 (1998) 1119-1125
13. Kohli R., Lehmann D., and Pae J. Extent and impact of incubation time in new product diffusion. Journal of Product Innovation Management 16 2 (1999) 123-144 and references therein
14. Mansfield, E., 1991. Academic research and industrial innovation. Research Policy (20), 1-12.
15. Mansfield, E., 1998. Academic research and industrial innovation: an update of empirical findings. Research Policy (26), 773-776.
16. Margolis R., and Kammen D.M. Underinvestment: the energy technology and R&D policy challenge. Science 285 (1999) 690-692
17. Margolis R., and Kammen D.M. Energy R&D and Innovation: Challenges and Opportunities. A Reader in Climate Change Policy (2001), Island Press, Washington, DC
18. McMillan S.G., and Hamilton III R.D. The Impact of Publicly Funded Basic Research: An Integrative Extension of Martin and Salter. IEEE Transactions on Engineering and Management 50 2 (2003) 184-191
19. Nadiri M.I., and Purcha I.R. Estimation of Depreciation Rate of Physical and R&D Capital in the US Total Manufacturing Sector. Economic Inquiry XXXIV 1 (1996) 43-46
20. National Research Council (NRC), 2001. Energy Research at DOE: Was It Worth It? National Academy of Sciences.
21. Salter A., and Martin B. The economic benefits of basic research: a critical review. Research Policy 30 1 (2001) 509-532
22. Scott, A., Steyn, G., Geuna, A., Brusoni, S., Steinmueller (Ed.), 2001. The Economic Returns to Basic Research and the Benefits of University-Industry Relationships. Report for the Office of Science and Technology, UK.
23. Sultan F., Farley J.U., and Lehmann D.R. A meta-analysis of applications of diffusion models. Journal of Marketing Research 27 (1990) 70-77
24. Tassey, G., 2003. Methods for Assessing the Economic Impacts of Government R&D, National Institute of Standards and Technology.
25. Vonortas, N., Lackey, M., 2003. Real options for public sector R&D investments. In: Learning from Science and Technology Policy Evaluation: Experiences from the United States and Europe.