Learning by doing with constrained growth rates: An application to energy technology policy

Energy Journal

Volumn 29, Issue SPEC. ISS., 2008, Pages 165-182

  Neuhoff, Karsten ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 56249112299     PISSN: 01956574     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article

References (36)

1. Arrow, K. J. (1962)."The economic implications of learning by doing". The Review of Economic Studies 28(3), 155-175.
2. Barreto, L. and S. Kypreos (2004)."Endogenizing research and development and market experience in the bottom-up energy-systems ERIS model." Technovation, 24 (8): 615-629.
3. Bass, F (1980)."The relationship between diffusion rates, experience curves and demand elasticities for consumer durable technological innovations." The Journal of Business, 53 (3) part 2: 51-67.
4. Duke, R. (2002). "Clean energy technology buy downs: Economic theory, analytic tools, and the photovoltaics case." PhD Dissertation, Princeton.
5. Edenhofer, O., K. Lessmann, C. Kemfert, M. Grubb, and J. Köhler (2006)."Induced technological change - exploring its implications for the economics of atmospheric stabilization: Synthesis report from the innovation modelling comparison project." The Energy Journal 27(Special Issue): 57-108.
6. 2 emission abatement." Energy Policy 25(2): 159-172.
7. Gruebler, A. and A. Gritsevskyi (1997). "A model of endogenous technological change through uncertain returns on learning (research and development and investments)," Paper presented at the International Workshop on induced Technical Change and the Environment, June 26-27, International Institute for Applied Systems Analysis, Laxemburg, Austria. 26-27, 280-319.
8. Harmon, C. (2000),"Experience curves of photovoltaic technology." Interim Report IR-00-014 International Institute for Applied Systems Analysis.
9. IEA (2000)."Experience Curves for Technology Policy." Paris: International Energy Agency.
10. IEA (2003)."Creating Markets for Energy Technologies." Paris: International Energy Agency.
11. IPCC (2007). Climate Change 2007: Mitigation. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.
12. Isoard, S. and A. Soria (1997)."Leaming curves and returns to scale dynamics: Evidence from the emerging renewable energy technologies." IPTS Working Paper Series 97/05.
13. Isoard, S. and A. Soria (2001)."Technical change dynamics: evidence from the emerging renewable energy technologies." Energy Economics 23(6): 619-636.
14. Jamasb, T. (2007)."Technical change dynamics: evidence from the emerging renewable energy technologies." The Energy Joumal 28(3): 51-72.
15. Jamasb, T. and J. Köhler (2008)."Learning curves for energy technology: a critical assessment." in M. Grubb, T. Jamasb, and M. Pollitt (eds.) Delivering a Low Carbon Electricity System: Technologies, Economics and Policy Cambridge: Cambridge University Press
16. Jensen, S. G. (2004)."Describing technological development with quantitative models." Energy and Environment 15 (4): 187-200.
17. Köhler, J., M. Grubb, D. Popp, and O. Edenhofer (2006)."The transition to endogenous technical change in climate-economy models: A technical overview to the innovation modelling comparison project." Energy Journal 27(Special Issue): 17-56.
18. Kouvaritakis, N., A. Soria, and S. Isoard (2000)."Modelling energy technology dynamics: methodology for adaptive expectations model with learning by doing and learning by searching." Int. J Global Energy Issues 14: 104-115.
19. Lieberman, M. B. (1984)."The learning curve and pricing in the chemical processing industry." RAND Journal of Economics 15 (2): 213-228.
20. Mackay, R. and S. Probert (1998)."Likely market-penetrations of renewable-energy technologies." Applied Energy 59 (1): 1-38.
21. Manne, A. S. and L. Barreto (2004)."Learn-by-doing on carbon dioxide abatement." Energy Economics 26(4): 621-633.
22. 2 abatement." Energy Economics 26(4): 603-620.
23. McDonald, A. and L. Schrattenholzer (2001)."Learning rates for energy technologies." Energy Policy 29(4): 255-261.
24. Nemet, G. R (2006)."Beyond the learning curve: Factors influencing cost reductions in photovoltaics"' Energy Policy 34(17): 3218-3232.
25. Neuhoff, K. (2005)."Large scale deployment of renewables for electricity generation." Oxford Review of Economic Policy 21(l): 88-110.
26. Neuhoff, K., J. Jan Lossen, G. Nemet, M. Sato and K. Schumacher, (2007)."Tbe role of the supply chain for innovation: the example of Photovoltaic Solar Cells." EPRG Working Paper 07/32, University of Cambridge.
27. Oliver, M. and T. Jackson (1999)."The market for solar photovoltaics - Photovoltaics in buildings." Energy Policy 27(7): 371-385.
28. Papineau, M. (2006)."An economic perspective on experience curves in renewable energy technology." Energy Policy 34(4): 422-432.
29. 2 abatement policy with learning-by-doing in renewable energy:" Resource and Energy Economics 23, 297-325.
30. Riahi, K., E. S. Rubin, M. R. Taylor, L. Schrattenholzer, and D. Hounshell (2004)."Technology learning for carbon capture and sequestration technologies." Energy Economics 26(4): 539-564.
31. Sijm, J. (2004)."Induced technological change and spillovers in climate policy modelling." ECN Report ECN-C-04-073.
32. Stem, N. (2006). Stem Review on the Economics of Climate Change. Cambridge, Cambridge University Press.
33. Stokey, N. L. (1988)."Learning by doing and the introduction of new goods." Journal of Political Economy 96(3): 701-717.
34. Thompson, P. (2001)."How much did the liberty shipbuilders learn? New evidence for an old case study." Journal of Political Economy 109(l): 103-137.
35. Tsuchiya, H. and O. Kobayashi (2003)."Mass production cost of PEM fuel cell by teaming curve:" International Joumal of Hydrogen Energy 29(10): 985-990.
36. Watanabe, C., B. Zhu, C. Griffy-Brown, and B. Asgari (2001)."Global technology spillover and its impact on industry's research and development strategies." Technovation 21(5): 281-291.