Learning-by-doing, Learning Spillovers and the Diffusion of Fuel Cell Vehicles
AbstractFuel cell vehicles (FCVs) running on hydrogen do not cause local air pollution. Depending on the energy sources used to produce the hydrogen they may also reduce greenhouse gases in the long-term. Besides problems related to the necessary investments into hydrogen infrastructure, there is a general notion that current fuel cells costs are too high to be competitive with conventional engines, creating an insurmountable barrier to introduction. But given historical evidence from many other technologies it is highly likely that learning by doing (LBD) would lead to substantial cost reductions. In this study we implement potential cost reductions from LBD into an existing agent based model that captures the main dynamics of the introduction of the new technology together with hydrogen infrastructure build up. Assumptions about the learning rate turn out to have a critical impact on the projected diffusion of the FCVs. Moreover, LBD could imply a substantial first mover advantage. We also address the impact of learning spillovers between producers and find that a government might face a policy trade off between fostering diffusion by facilitating learning spillovers and protecting the relative advantage of a national technological leader.
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Bibliographic InfoPaper provided by Research unit Sustainability and Global Change, Hamburg University in its series Working Papers with number FNU-112.
Length: 36 pages
Date of creation: Jun 2006
Date of revision: Jun 2006
Fuel cell vehicles; Hydrogen; Learning by doing; Agent based modeling;
Find related papers by JEL classification:
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
- D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-03-17 (All new papers)
- NEP-ENE-2007-03-17 (Energy Economics)
- NEP-INO-2007-03-17 (Innovation)
- NEP-TID-2007-03-17 (Technology & Industrial Dynamics)
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- Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
- A. M. Spence, 1981. "The Learning Curve and Competition," Bell Journal of Economics, The RAND Corporation, vol. 12(1), pages 49-70, Spring.
- Mackay, R.M & Probert, S.D, 1998. "Likely market-penetrations of renewable-energy technologies," Applied Energy, Elsevier, vol. 59(1), pages 1-38, January.
- April Mitchell Franco & Darren Filson, 2000.
"Knowledge Diffusion through Employee Mobility,"
Claremont Colleges Working Papers
2000-61, Claremont Colleges.
- Madsen, Erik Strøjer & Jensen, Camilla & Hansen, Jørgen Drud, 2002. "Scale in Technology and Learning-by-Doing in the Windmill Industry," Working Papers 02-2, University of Aarhus, Aarhus School of Business, Department of Economics.
- Rebecca Achee Thornton & Peter Thompson, 2001. "Learning from Experience and Learning from Others: An Exploration of Learning and Spillovers in Wartime Shipbuilding," American Economic Review, American Economic Association, vol. 91(5), pages 1350-1368, December.
- Salvador Barrios & Eric Strobl, 2004.
"Learning by Doing and Spillovers: Evidence from Firm-Level Panel Data,"
Review of Industrial Organization,
Springer, vol. 25(2), pages 175-203, 06.
- Salvador Barrios & Eric Strobl, . "Learning by Doing and Spillovers: Evidence from Firm-Level Panel Data," Working Papers 2002-09, FEDEA.
- Marco Valente, 1998. "Laboratory for Simulation Development," DRUID Working Papers 98-5, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
- Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
- Bunch, David S. & Bradley, Mark & Golob, Thomas F. & Kitamura, Ryuichi & Occhiuzzo, Gareth P., 1993. "Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 237-253, May.
- Gritsevskyi, Andrii & Nakicenovi, Nebojsa, 2000. "Modeling uncertainty of induced technological change," Energy Policy, Elsevier, vol. 28(13), pages 907-921, November.
- Malte Schwoon, 2006. "Simulating the adoption of fuel cell vehicles," Journal of Evolutionary Economics, Springer, vol. 16(4), pages 435-472, October.
- Manne, Alan S. & Barreto, Leonardo, 2004. "Learn-by-doing and carbon dioxide abatement," Energy Economics, Elsevier, vol. 26(4), pages 621-633, July.
- Malte Schwoon, 2005. "Simulating the Adoption of Fuel Cell Vehicles," Working Papers FNU-59, Research unit Sustainability and Global Change, Hamburg University, revised Feb 2006.
- Mark Rosenzweig & Andrew D. Foster, .
"Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture,"
_068, University of Pennsylvania.
- Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
- Kwasnicki, Witold & Kwasnicka, Halina, 1992. "Market, innovation, competition: An evolutionary model of industrial dynamics," Journal of Economic Behavior & Organization, Elsevier, vol. 19(3), pages 343-368, December.
- Rasmussen, Tobias N., 2001. "CO2 abatement policy with learning-by-doing in renewable energy," Resource and Energy Economics, Elsevier, vol. 23(4), pages 297-325, October.
- Sabine Messner, 1997. "Endogenized technological learning in an energy systems model," Journal of Evolutionary Economics, Springer, vol. 7(3), pages 291-313.
- Ghemawat, Pankaj & Spence, A Michael, 1985. "Learning Curve Spillovers and Market Performance," The Quarterly Journal of Economics, MIT Press, vol. 100(5), pages 839-52, Supp..
- Manne, Alan & Richels, Richard, 2004. "The impact of learning-by-doing on the timing and costs of CO2 abatement," Energy Economics, Elsevier, vol. 26(4), pages 603-619, July.
- McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
- Ogden, Joan M. & Williams, Robert H. & Larson, Eric D., 2004. "Societal lifecycle costs of cars with alternative fuels/engines," Energy Policy, Elsevier, vol. 32(1), pages 7-27, January.
- Jørgen Hansen & Camilla Jensen & Erik Madsen, 2003.
"The establishment of the danish windmill industry—Was it worthwhile?,"
Review of World Economics (Weltwirtschaftliches Archiv),
Springer, vol. 139(2), pages 324-347, June.
- Jørgen Drud Hansen & Camilla Jensen & Erik Strøjer Madsen, 2002. "The Establishment of the Danish Windmill Industry - Was it Worthwhile?," CIE Discussion Papers 2002-07, University of Copenhagen. Department of Economics. Centre for Industrial Economics.
- Gary W. Yohe & Richard S.J. Tol, 2007. "Precaution And A Dismal Theorem: Implications For Climate Policy And Climate Research," Working Papers FNU-145, Research unit Sustainability and Global Change, Hamburg University, revised Aug 2007.
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