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Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies

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Cited by:

  1. Zhang, Zhong Xiang, 2012. "Competitiveness and Leakage Concerns and Border Carbon Adjustments," International Review of Environmental and Resource Economics, now publishers, vol. 6(3), pages 225-287, December.
  2. Lafond, François & Greenwald, Diana & Farmer, J. Doyne, 2022. "Can Stimulating Demand Drive Costs Down? World War II as a Natural Experiment," The Journal of Economic History, Cambridge University Press, vol. 82(3), pages 727-764, September.
  3. Dumas, Marion & Rising, James & Urpelainen, Johannes, 2016. "Political competition and renewable energy transitions over long time horizons: A dynamic approach," Ecological Economics, Elsevier, vol. 124(C), pages 175-184.
  4. Koppelaar, Rembrandt H.E.M. & Keirstead, James & Shah, Nilay & Woods, Jeremy, 2016. "A review of policy analysis purpose and capabilities of electricity system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1531-1544.
  5. Mauleón, Ignacio, 2016. "Photovoltaic learning rate estimation: Issues and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 507-524.
  6. Koo, Jamin & Park, Kyungtae & Shin, Dongil & Yoon, En Sup, 2011. "Economic evaluation of renewable energy systems under varying scenarios and its implications to Korea's renewable energy plan," Applied Energy, Elsevier, vol. 88(6), pages 2254-2260, June.
  7. Oikawa, Koki & Managi, Shunsuke, 2015. "R&D in clean technology: A project choice model with learning," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 175-195.
  8. Santhakumar, Srinivasan & Smart, Gavin & Noonan, Miriam & Meerman, Hans & Faaij, André, 2022. "Technological progress observed for fixed-bottom offshore wind in the EU and UK," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  9. Elofsson, Katarina, 2014. "International knowledge diffusion and its impact on the cost-effective clean-up of the Baltic Sea," Working Paper Series 2014:06, Swedish University of Agricultural Sciences, Department Economics.
  10. Alemzero, David & Acheampong, Theophilus & Huaping, Sun, 2021. "Prospects of wind energy deployment in Africa: Technical and economic analysis," Renewable Energy, Elsevier, vol. 179(C), pages 652-666.
  11. Tobias Wiesnethal & Arnaud Mercier & Burkhard Schade & H. Petric & Lazlo Szabo, 2010. "Quantitative Assessment of the Impact of the Strategic Energy Technology Plan on the European Power Sector," JRC Research Reports JRC61065, Joint Research Centre.
  12. Köberle, Alexandre C. & Gernaat, David E.H.J. & van Vuuren, Detlef P., 2015. "Assessing current and future techno-economic potential of concentrated solar power and photovoltaic electricity generation," Energy, Elsevier, vol. 89(C), pages 739-756.
  13. Breitschopf, Barbara, 2015. "Impacts of policies on market formation and competitiveness: The case of the PV industry in Germany," Working Papers "Sustainability and Innovation" S10/2015, Fraunhofer Institute for Systems and Innovation Research (ISI).
  14. Lafond, François & Bailey, Aimee Gotway & Bakker, Jan David & Rebois, Dylan & Zadourian, Rubina & McSharry, Patrick & Farmer, J. Doyne, 2018. "How well do experience curves predict technological progress? A method for making distributional forecasts," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 104-117.
  15. Gawel, Erik & Lehmann, Paul & Purkus, Alexandra & Söderholm, Patrik & Witte, Katherina, 2016. "The rationales for technology-specific renewable energy support: Conceptual arguments and their relevance for Germany," UFZ Discussion Papers 4/2016, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
  16. Grafström, Jonas & Poudineh, Rahmat, 2023. "No evidence of counteracting policy effects on European solar power invention and diffusion," Energy Policy, Elsevier, vol. 172(C).
  17. Lancker, Kira & Quaas, Martin F., 2019. "Increasing marginal costs and the efficiency of differentiated feed-in tariffs," Energy Economics, Elsevier, vol. 83(C), pages 104-118.
  18. Kahouli-Brahmi, Sondes, 2009. "Testing for the presence of some features of increasing returns to adoption factors in energy system dynamics: An analysis via the learning curve approach," Ecological Economics, Elsevier, vol. 68(4), pages 1195-1212, February.
  19. Johannes Urpelainen, 2014. "Sinking costs to increase participation: technology deployment agreements enhance climate cooperation," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(3), pages 229-240, July.
  20. El Kasmioui, O. & Verbruggen, A. & Ceulemans, R., 2015. "The 2013 reforms of the Flemish renewable electricity support: Missed opportunities," Renewable Energy, Elsevier, vol. 83(C), pages 905-917.
  21. Audrey Laude & Christian Jonen, 2011. "Biomass and CCS: The influence of the learning effect," Working Papers halshs-00829779, HAL.
  22. Pizer, William A. & Popp, David, 2008. "Endogenizing technological change: Matching empirical evidence to modeling needs," Energy Economics, Elsevier, vol. 30(6), pages 2754-2770, November.
  23. Lin, Boqiang & He, Jiaxin, 2016. "Learning curves for harnessing biomass power: What could explain the reduction of its cost during the expansion of China?," Renewable Energy, Elsevier, vol. 99(C), pages 280-288.
  24. Antoine Dechezleprêtre & David Popp, 2015. "Fiscal and Regulatory Instruments for Clean Technology Development in the European Union," CESifo Working Paper Series 5361, CESifo.
  25. Christian JONEN & Audrey LAUDE, 2011. "Biomasse and CCS: The Influence of the Learning Effect," LEO Working Papers / DR LEO 273, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
  26. Tolliver, Clarence & Keeley, Alexander Ryota & Managi, Shunsuke, 2020. "Policy targets behind green bonds for renewable energy: Do climate commitments matter?," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  27. Witajewski-Baltvilks, Jan & Verdolini, Elena & Tavoni, Massimo, 2015. "Bending the learning curve," Energy Economics, Elsevier, vol. 52(S1), pages 86-99.
  28. Michael Smith & Johannes Urpelainen, 2014. "The Effect of Feed-in Tariffs on Renewable Electricity Generation: An Instrumental Variables Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(3), pages 367-392, March.
  29. Rob Aalbers & Victoria Shestalova & Viktoria Kocsis, 2012. "Innovation policy for directing technical change in the power sector," CPB Discussion Paper 223, CPB Netherlands Bureau for Economic Policy Analysis.
  30. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
  31. 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.
  32. Lovering, Jessica R. & Yip, Arthur & Nordhaus, Ted, 2016. "Historical construction costs of global nuclear power reactors," Energy Policy, Elsevier, vol. 91(C), pages 371-382.
  33. Aalbers, Rob & Shestalova, Victoria & Kocsis, Viktória, 2013. "Innovation policy for directing technical change in the power sector," Energy Policy, Elsevier, vol. 63(C), pages 1240-1250.
  34. Chen, Siyuan & Liu, Jiangfeng & Zhang, Qi & Teng, Fei & McLellan, Benjamin C., 2022. "A critical review on deployment planning and risk analysis of carbon capture, utilization, and storage (CCUS) toward carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
  35. 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.
  36. Gawel, Erik & Lehmann, Paul & Purkus, Alexandra & Söderholm, Patrik & Witte, Katherina, 2017. "Rationales for technology-specific RES support and their relevance for German policy," Energy Policy, Elsevier, vol. 102(C), pages 16-26.
  37. 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).
  38. Bossink, Bart, 2020. "Learning strategies in sustainable energy demonstration projects: What organizations learn from sustainable energy demonstrations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
  39. 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.
  40. Popp, David & Newell, Richard G. & Jaffe, Adam B., 2010. "Energy, the Environment, and Technological Change," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 873-937, Elsevier.
  41. Strupeit, Lars & Neij, Lena, 2017. "Cost dynamics in the deployment of photovoltaics: Insights from the German market for building-sited systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 948-960.
  42. Wiebe, Kirsten S. & Lutz, Christian, 2016. "Endogenous technological change and the policy mix in renewable power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 739-751.
  43. Saheed Bello & David M Reiner, 2024. "Experience curves for electrolysis technologies," Working Papers EPRG2420, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  44. Héctor M. Núñez, 2013. "How Relevant Has Been the Learning-by-Doing for Brazilian Sugarcane Ethanol Production?," Working Papers DTE 552, CIDE, División de Economía.
  45. 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.
  46. Albrecht, Johan & Laleman, Ruben & Vulsteke, Elien, 2015. "Balancing demand-pull and supply-push measures to support renewable electricity in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 267-277.
  47. Elofsson, Katarina & Gren, Ing-Marie, 2014. "Cost-efficient climate policies for interdependent and uncertain carbon pools," Working Paper Series 2014:7, Swedish University of Agricultural Sciences, Department Economics.
  48. Darmani, Anna & Rickne, Annika & Hidalgo, Antonio & Arvidsson, Niklas, 2016. "When outcomes are the reflection of the analysis criteria: A review of the tradable green certificate assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 372-381.
  49. Choi, Donghyun & Kim, Yeong Jae, 2023. "Local and global experience curves for lumpy and granular energy technologies," Energy Policy, Elsevier, vol. 174(C).
  50. Philip Metzger, 2023. "Economics of In-Space Industry and Competitiveness of Lunar-Derived Rocket Propellant," Papers 2303.09011, arXiv.org.
  51. Ahn, Joongha & Woo, JongRoul & Lee, Jongsu, 2015. "Optimal allocation of energy sources for sustainable development in South Korea: Focus on the electric power generation industry," Energy Policy, Elsevier, vol. 78(C), pages 78-90.
  52. 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).
  53. Zeyringer, Marianne & Fais, Birgit & Keppo, Ilkka & Price, James, 2018. "The potential of marine energy technologies in the UK – Evaluation from a systems perspective," Renewable Energy, Elsevier, vol. 115(C), pages 1281-1293.
  54. Kahouli, Sondès, 2011. "Effects of technological learning and uranium price on nuclear cost: Preliminary insights from a multiple factors learning curve and uranium market modeling," Energy Economics, Elsevier, vol. 33(5), pages 840-852, September.
  55. Bistline, John E., 2014. "Energy technology expert elicitations: An application to natural gas turbine efficiencies," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 177-187.
  56. Díaz, Guzmán & Moreno, Blanca & Coto, José & Gómez-Aleixandre, Javier, 2015. "Valuation of wind power distributed generation by using Longstaff–Schwartz option pricing method," Applied Energy, Elsevier, vol. 145(C), pages 223-233.
  57. Reyer Gerlagh & Snorre Kverndokk & Knut Rosendahl, 2009. "Optimal Timing of Climate Change Policy: Interaction Between Carbon Taxes and Innovation Externalities," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(3), pages 369-390, July.
  58. Darmani, Anna, 2015. "Renewable energy investors in Sweden: A cross-subsector analysis of dynamic capabilities," Utilities Policy, Elsevier, vol. 37(C), pages 46-57.
  59. Sommerfeldt, Nelson & Madani, Hatef, 2017. "Revisiting the techno-economic analysis process for building-mounted, grid-connected solar photovoltaic systems: Part one – Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1379-1393.
  60. David Popp, 2015. "Using Scientific Publications to Evaluate Government R&D Spending: The Case of Energy," CESifo Working Paper Series 5442, CESifo.
  61. Wiser, Ryan & Millstein, Dev, 2020. "Evaluating the economic return to public wind energy research and development in the United States," Applied Energy, Elsevier, vol. 261(C).
  62. 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.
  63. Thomas Boucher & Yuchen Li, 2016. "Technical note: systematic bias in stochastic learning," International Journal of Production Research, Taylor & Francis Journals, vol. 54(11), pages 3452-3463, June.
  64. Miklós Antal & Ardjan Gazheli & Jeroen C.J.M. van den Bergh, 2012. "Behavioural Foundations of Sustainability Transitions. WWWforEurope Working Paper No. 3," WIFO Studies, WIFO, number 46424.
  65. De Cian, Enrica & Buhl, Johannes & Carrara, Samuel & Michela Bevione, Michela & Monetti, Silvia & Berg, Holger, 2016. "Knowledge Creation between Integrated Assessment Models and Initiative-Based Learning - An Interdisciplinary Approach," MITP: Mitigation, Innovation and Transformation Pathways 249784, Fondazione Eni Enrico Mattei (FEEM).
  66. Kim, Seunghyok & Koo, Jamin & Lee, Chang Jun & Yoon, En Sup, 2012. "Optimization of Korean energy planning for sustainability considering uncertainties in learning rates and external factors," Energy, Elsevier, vol. 44(1), pages 126-134.
  67. Bigerna, Simona & Bollino, Carlo Andrea & Micheli, Silvia, 2016. "Renewable energy scenarios for costs reductions in the European Union," Renewable Energy, Elsevier, vol. 96(PA), pages 80-90.
  68. Esmaieli, M. & Ahmadian, M., 2018. "The effect of research and development incentive on wind power investment, a system dynamics approach," Renewable Energy, Elsevier, vol. 126(C), pages 765-773.
  69. Williams, Eric & Hittinger, Eric & Carvalho, Rexon & Williams, Ryan, 2017. "Wind power costs expected to decrease due to technological progress," Energy Policy, Elsevier, vol. 106(C), pages 427-435.
  70. Bello, S. & Reiner, 2024. "Experience Curves for Electrolysis Technologies," Cambridge Working Papers in Economics 2476, Faculty of Economics, University of Cambridge.
  71. 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.
  72. Partridge, Ian, 2013. "Renewable electricity generation in India—A learning rate analysis," Energy Policy, Elsevier, vol. 60(C), pages 906-915.
  73. Emmerling, Johannes & Drouet, Laurent Drouet & Reis, Lara Aleluia & Bevione, Michela & Berger, Loic & Bosetti, Valentina & Carrara, Samuel & De Cian, Enrica & De Maere D'Aertrycke, Gauthier & Longden,, 2016. "The WITCH 2016 Model - Documentation and Implementation of the Shared Socioeconomic Pathways," MITP: Mitigation, Innovation and Transformation Pathways 240748, Fondazione Eni Enrico Mattei (FEEM).
  74. Huang, Yun-Hsun & Wu, Jung-Hua, 2008. "A portfolio risk analysis on electricity supply planning," Energy Policy, Elsevier, vol. 36(2), pages 627-641, February.
  75. 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.
  76. Gao, Xue & Rai, Varun & Nemet, Gregory F., 2022. "The roles of learning mechanisms in services: Evidence from US residential solar installations," Energy Policy, Elsevier, vol. 167(C).
  77. Mathias Berthod, 2020. "Commitment and efficiency-inducing tax and subsidy scheme in the development of a clean technology," Working Papers hal-02489971, HAL.
  78. David Popp, 2015. "Using Scientific Publications to Evaluate Government R&D Spending: The Case of Energy," NBER Working Papers 21415, National Bureau of Economic Research, Inc.
  79. Lu, Ze-Yu & Li, Wen-Hua & Xie, Bai-Chen & Shang, Li-Feng, 2015. "Study on China’s wind power development path—Based on the target for 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 197-208.
  80. 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.
  81. 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).
  82. Gan, Peck Yean & Li, ZhiDong, 2015. "Quantitative study on long term global solar photovoltaic market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 88-99.
  83. Ortega, Margarita & Río, Pablo del & Ruiz, Pablo & Thiel, Christian, 2015. "Employment effects of renewable electricity deployment. A novel methodology," Energy, Elsevier, vol. 91(C), pages 940-951.
  84. Mauleón, Ignacio & Hamoudi, Hamid, 2017. "Photovoltaic and wind cost decrease estimation: Implications for investment analysis," Energy, Elsevier, vol. 137(C), pages 1054-1065.
  85. Lohwasser, Richard & Madlener, Reinhard, 2013. "Relating R&D and investment policies to CCS market diffusion through two-factor learning," Energy Policy, Elsevier, vol. 52(C), pages 439-452.
  86. Shayegh, Soheil & Sanchez, Daniel L. & Caldeira, Ken, 2017. "Evaluating relative benefits of different types of R&D for clean energy technologies," Energy Policy, Elsevier, vol. 107(C), pages 532-538.
  87. Wu, Jung-Hua & Huang, Yun-Hsun, 2014. "Electricity portfolio planning model incorporating renewable energy characteristics," Applied Energy, Elsevier, vol. 119(C), pages 278-287.
  88. Mathias Berthod, 2020. "Commitment and efficiency-inducing tax and subsidy scheme in the development of a clean technology," CEE-M Working Papers hal-02489971, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
  89. Wu, X.D. & Yang, Q. & Chen, G.Q. & Hayat, T. & Alsaedi, A., 2016. "Progress and prospect of CCS in China: Using learning curve to assess the cost-viability of a 2×600MW retrofitted oxyfuel power plant as a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1274-1285.
  90. Felix Groba & Barbara Breitschopf, 2013. "Impact of Renewable Energy Policy and Use on Innovation: A Literature Review," Discussion Papers of DIW Berlin 1318, DIW Berlin, German Institute for Economic Research.
  91. Ding, H. & Zhou, D.Q. & Liu, G.Q. & Zhou, P., 2020. "Cost reduction or electricity penetration: Government R&D-induced PV development and future policy schemes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
  92. Beck, Marisa & Rivers, Nicholas & Wigle, Randall, 2018. "How do learning externalities influence the evaluation of Ontario's renewables support policies?," Energy Policy, Elsevier, vol. 117(C), pages 86-99.
  93. Grafström, Jonas & Poudineh, Rahmat, 2023. "Invention and Diffusion in the Solar Power Sector," Ratio Working Papers 364, The Ratio Institute.
  94. Grafström, Jonas & Poudineh, Rahmat, 2021. "A review of problems associated with learning curves for solar and wind power technologies," Ratio Working Papers 347, The Ratio Institute.
  95. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
  96. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
  97. Chen, Xiaoguang & Khanna, Madhu, 2012. "Explaining the reductions in US corn ethanol processing costs: Testing competing hypotheses," Energy Policy, Elsevier, vol. 44(C), pages 153-159.
  98. Dong, Changgui & Wiser, Ryan, 2013. "The impact of city-level permitting processes on residential photovoltaic installation prices and development times: An empirical analysis of solar systems in California cities," Energy Policy, Elsevier, vol. 63(C), pages 531-542.
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