Network externality perspective of feed-in-tariffs (FIT) instruments-Some observations and suggestions

Energy Policy

Volumn 38, Issue 7, 2010, Pages 3266-3269

  Shum, Kwok L ^a   Watanabe, Chihiro ^b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Induced diffusion; Network externality; Renewable energy

Indexed keywords

COSTS; PUBLIC POLICY;

COST MINIMIZATION; EXISTING ENERGIES; NETWORK EXTERNALITY; POLICY FRAMEWORK; POLICY IMPLICATIONS; RENEWABLE ELECTRICITY; RENEWABLE ENERGIES; RENEWABLE ENERGY TECHNOLOGIES;

RENEWABLE ENERGY RESOURCES;

ELECTRICITY GENERATION; ENERGY POLICY; INCOME; INNOVATION; RENEWABLE RESOURCE; TARIFF STRUCTURE; TECHNOLOGICAL DEVELOPMENT;

EID: 77953687234     PISSN: 03014215     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enpol.2010.02.044     Document Type: Article

References (22)

1. Diaz-Rainey, I., 2009. Induced diffusion: definition, review and suggestions for further research. Electronic copy available at http://ssrn.com.
2. European PV Association, 2005. European PV Associations' position paper on a Feed-In Tariff for photovoltaic solar electricity.
3. Fleck J. The artefact-activity couple. Technological Innovation as an Evolutionary Process 2000, 248-266. Cambridge University Press, Cambridge. J. Ziman (Ed.).
4. Friedman, Thomas F., 2009. Hot, flat & crowded, why the world needs a green revolution-and how we can renew our global future.
5. Geroski Paul A. Models of technology diffusion. Research Policy 2000, 29(4-5):603-625. April 2000.
6. Gipe, Paul, 2006. Renewable energy policy mechanisms, version 04, February 17, 2006 downloadable from the web.
7. Grubb M., Haj-Hasan N., Newbery D. Accelerating innovation and strategic deployment in UK electricity: applications to renewable energy. Delivering a Low-Carbon Electricity System: Technologies, Economics and Policy 2008, 2008. Cambridge University Press.
8. Grubb M., Newbery D. Pricing carbon for electricity generation: national and international dimensions. Delivering a Low-Carbon Electricity System: Technologies, Economics And Policy 2008, Cambridge University Press. M. Grubb, T. Jamasb, M.G. Pollitt (Eds.).
9. Hvelplund F. Renewable energy: political prices or political quantities. Switching to Renewable Power-a Framework for the 21st Century 2006, Earthscan, London Sterling VA. V. Lauber (Ed.).
10. IEA World Energy Outlook 2006 2006, International Energy Agency, Paris.
11. Jaffe A.B., Newell R.G., Stavins R.N. Environmental policy and technological change. Environmental and Resource Economics 2002, 22:41-69.
12. Japan Times, February 25, 2009. Utilities to pay premium to solar power providers.
13. Lauber V. REFIT and RPS: options for a harmonized community framework. Energy Policy 2004, 32(12):1405-1414. August 2004.
14. Mendonca M. Feed-in Tariffs: Accelerating the Deployment of Renewable Energy 2007, Earthscan.
15. Nagamatsu A., Watanabe C., Shum K.L. Diffusion trajectory of self-propagating innovations interacting with institutions-incorporation of multi-factors learning function to model PV diffusion in Japan. Energy Policy 2006, 34(4):411-421. March.
16. Nelson R., Sampat N. Making sense of institutions as a factor shaping economic performance. Journal of Economic Behavior and Organization 2001, 44:31-54.
17. Reicher, Daniel, 2009. Testimony of Dan W. Reicher before the Senate Committee on Environment and Public Works Legislative Hearing on S.1733 Clean Energy Jobs and American Power Act.
18. Rogers E.M. Diffusion of Innovations 1995, The Free Press, New York.
19. Shum K., Watanabe C. Photovoltaic deployment strategy in Japan and the USA-an institutional appraisal. Energy Policy 2007, 35(2):1186-1195. February.
20. Shum K., Watanabe C. Towards an institutions-theoretic framework-comparing solar photovoltaic diffusion patterns in Japan and the US. International Journal of Innovation Management 2007, 11(4):565-592.
21. Shum K., Watanabe C. Towards a local learning (innovation) model of solar photovoltaic deployment. Energy Policy. 2008 2008, 36:508-521.
22. Wene, C., 2000. Experience curve for energy technology policy. OECD/IEA.