A review of problems associated with learning curves for solar and wind power technologies
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Grafström, Jonas & Lindman, Åsa, 2017. "Invention, innovation and diffusion in the European wind power sector," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 179-191.
- Hayashi, Daisuke & Huenteler, Joern & Lewis, Joanna I., 2018. "Gone with the wind: A learning curve analysis of China's wind power industry," Energy Policy, Elsevier, vol. 120(C), pages 38-51.
- Amro Elshurafa & Shahad Albardi & Carlo Andrea Bollino, 2017. "Estimating the Learning Curve of Solar PV Balance-of-Systems for Over 20 Countries," Discussion Papers ks-2017--dp015, King Abdullah Petroleum Studies and Research Center.
- Jaber, Mohamad Y. & Guiffrida, Alfred L., 2008. "Learning curves for imperfect production processes with reworks and process restoration interruptions," European Journal of Operational Research, Elsevier, vol. 189(1), pages 93-104, August.
- Nordhaus, William D., 2007. "Two Centuries of Productivity Growth in Computing," The Journal of Economic History, Cambridge University Press, vol. 67(1), pages 128-159, March.
- Peter Thompson, 2001.
"How Much Did the Liberty Shipbuilders Learn? New Evidence for an Old Case Study,"
Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 103-137, February.
- Peter Thompson, 1997. "How Much Did the Liberty Shipbuilders Learn? New Evidence for an Old Case Study," Development and Comp Systems 9712001, University Library of Munich, Germany.
- Fischer, Carolyn & Newell, Richard G., 2008.
"Environmental and technology policies for climate mitigation,"
Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 142-162, March.
- Fischer, Carolyn & Newell, Richard, 2004. "Environmental and Technology Policies for Climate Mitigation," RFF Working Paper Series dp-04-05, Resources for the Future.
- Hausman, Jerry, 2015.
"Specification tests in econometrics,"
Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
- Hausman, Jerry A, 1978. "Specification Tests in Econometrics," Econometrica, Econometric Society, vol. 46(6), pages 1251-1271, November.
- J. A. Hausman, 1976. "Specification Tests in Econometrics," Working papers 185, Massachusetts Institute of Technology (MIT), Department of Economics.
- Jason J. Yoo & Gabkyung Seo & Matthew R. Chua & Tae Gwan Park & Yongli Lu & Fabian Rotermund & Young-Ki Kim & Chan Su Moon & Nam Joong Jeon & Juan-Pablo Correa-Baena & Vladimir Bulović & Seong Sik Shi, 2021. "Efficient perovskite solar cells via improved carrier management," Nature, Nature, vol. 590(7847), pages 587-593, February.
- Jonathan Kohler, Michael Grubb, David Popp and Ottmar Edenhofer, 2006.
"The Transition to Endogenous Technical Change in Climate-Economy Models: A Technical Overview to the Innovation Modeling Comparison Project,"
The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 17-56.
- Köhler Jonathan & Michael Grubb & David Popp & Ottmar Edenhofer, 2006. "The Transition to Endogenous Technical Change in Climate-Economy Models: A Technical Overview to the Innovation Modeling Comparison Project," The Energy Journal, , vol. 27(1_suppl), pages 17-56, January.
- Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
- Nile W. Hatch & David C. Mowery, 1998. "Process Innovation and Learning by Doing in Semiconductor Manufacturing," Management Science, INFORMS, vol. 44(11-Part-1), pages 1461-1477, November.
- Neij, Lena, 1997. "Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology," Energy Policy, Elsevier, vol. 25(13), pages 1099-1107, November.
- Gavin Sinclair & Steven Klepper & Wesley Cohen, 2000. "What's Experience Got to Do With It? Sources of Cost Reduction in a Large Specialty Chemicals Producer," Management Science, INFORMS, vol. 46(1), pages 28-45, January.
- Coulomb, L. & Neuhoff, K., 2006.
"Learning curves and changing product attributes: the case of wind turbines,"
Cambridge Working Papers in Economics
0618, Faculty of Economics, University of Cambridge.
- Louis Coulomb & Karsten Neuhoff, 2006. "Learning Curves and Changing Product Attributes: the Case of Wind Turbines," Working Papers EPRG 0601, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
- Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
- Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
- Ek, Kristina & Söderholm, Patrik, 2010. "Technology learning in the presence of public R&D: The case of European wind power," Ecological Economics, Elsevier, vol. 69(12), pages 2356-2362, October.
- Tooraj Jamasb, 2007.
"Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies,"
The Energy Journal, , vol. 28(3), pages 51-72, July.
- Tooraj Jamasb, 2007. "Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 51-72.
- Francesco Nicolli & Nick Johnstone & Patrik Söderholm, 2012. "Resolving failures in recycling markets: the role of technological innovation," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 14(3), pages 261-288, July.
- Yu, C.F. & van Sark, W.G.J.H.M. & Alsema, E.A., 2011. "Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 324-337, January.
- Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
- William D. Nordhaus, 2014.
"The Perils of the Learning Model for Modeling Endogenous Technological Change,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
- William D. Nordhaus, 2009. "The Perils of the Learning Model For Modeling Endogenous Technological Change," NBER Working Papers 14638, National Bureau of Economic Research, Inc.
- William D. Nordhaus, 2009. "The Perils of the Learning Model For Modeling Endogenous Technological Change," Cowles Foundation Discussion Papers 1685, Cowles Foundation for Research in Economics, Yale University.
- Ferioli, F. & Schoots, K. & van der Zwaan, B.C.C., 2009. "Use and limitations of learning curves for energy technology policy: A component-learning hypothesis," Energy Policy, Elsevier, vol. 37(7), pages 2525-2535, July.
- Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
- Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
- Graham Hall & Sydney Howell, 1985. "The experience curve from the economist's perspective," Strategic Management Journal, Wiley Blackwell, vol. 6(3), pages 197-212, July.
- Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
- Grubb,Michael & Jamasb,Tooraj & Pollitt,Michael G. (ed.), 2008. "Delivering a Low Carbon Electricity System," Cambridge Books, Cambridge University Press, number 9780521888844, January.
- Odam, Neil & de Vries, Frans P., 2020. "Innovation modelling and multi-factor learning in wind energy technology," Energy Economics, Elsevier, vol. 85(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
- Odam, Neil & de Vries, Frans P., 2020. "Innovation modelling and multi-factor learning in wind energy technology," Energy Economics, Elsevier, vol. 85(C).
- Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
- Santhakumar, Srinivasan & Meerman, Hans & Faaij, André, 2021. "Improving the analytical framework for quantifying technological progress in energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
- Elia, A. & Kamidelivand, M. & Rogan, F. & Ó Gallachóir, B., 2021. "Impacts of innovation on renewable energy technology cost reductions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
- Schauf, Magnus & Schwenen, Sebastian, 2021. "Mills of progress grind slowly? Estimating learning rates for onshore wind energy," Energy Economics, Elsevier, vol. 104(C).
- Reinhard Haas & Marlene Sayer & Amela Ajanovic & Hans Auer, 2023. "Technological learning: Lessons learned on energy technologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(2), March.
- Castrejon-Campos, Omar & Aye, Lu & Hui, Felix Kin Peng, 2022. "Effects of learning curve models on onshore wind and solar PV cost developments in the USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
- Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
- Mauleón, Ignacio, 2016. "Photovoltaic learning rate estimation: Issues and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 507-524.
- Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
- Grafström, Jonas & Lindman, Åsa, 2017. "Invention, innovation and diffusion in the European wind power sector," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 179-191.
- Elia, A. & Taylor, M. & Ó Gallachóir, B. & Rogan, F., 2020. "Wind turbine cost reduction: A detailed bottom-up analysis of innovation drivers," Energy Policy, Elsevier, vol. 147(C).
- Dosi, Giovanni & Grazzi, Marco & Mathew, Nanditha, 2017.
"The cost-quantity relations and the diverse patterns of “learning by doing”: Evidence from India,"
Research Policy, Elsevier, vol. 46(10), pages 1873-1886.
- Giovanni Dosi & Marco Grazzi & Nanditha Mathew, 2016. "The cost-quantity relations and the diverse patterns of "learning by doing": Evidence from India," LEM Papers Series 2016/26, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
- Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
- Castrejon-Campos, Omar & Aye, Lu & Hui, Felix Kin Peng & Vaz-Serra, Paulo, 2022. "Economic and environmental impacts of public investment in clean energy RD&D," Energy Policy, Elsevier, vol. 168(C).
- Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
- Paul Lehmann & Patrik Söderholm, 2018.
"Can Technology-Specific Deployment Policies Be Cost-Effective? The Case of Renewable Energy Support Schemes,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(2), pages 475-505, October.
- Lehmann, Paul & Söderholm, Patrik, 2016. "Can technology-specific deployment policies be cost-effective? The case of renewable energy support schemes," UFZ Discussion Papers 1/2016, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
- Hong, Sungjun & Chung, Yanghon & Woo, Chungwon, 2015. "Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea," Energy, Elsevier, vol. 79(C), pages 80-89.
More about this item
Keywords
learning curve; learning rate; energy technology; wind power; solar power;All these keywords.
JEL classification:
- E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
- O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
- Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2021-05-10 (Energy Economics)
- NEP-ENV-2021-05-10 (Environmental Economics)
- NEP-MAC-2021-05-10 (Macroeconomics)
- NEP-REG-2021-05-10 (Regulation)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:ratioi:0347. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Martin Korpi (email available below). General contact details of provider: https://edirc.repec.org/data/ratiose.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.