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An economic perspective on experience curves and dynamic economies in renewable energy technologies

Citations

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Cited by:

  1. Kim, Dong Wook & Chang, Hyun Joon, 2012. "Experience curve analysis on South Korean nuclear technology and comparative analysis with South Korean renewable technologies," Energy Policy, Elsevier, vol. 40(C), pages 361-373.
  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. Doukas, Haris & Mannsbart, Wilhelm & Patlitzianas, Konstantinos D. & Psarras, John & Ragwitz, Mario & Schlomann, Barbara, 2007. "A methodology for validating the renewable energy data in EU," Renewable Energy, Elsevier, vol. 32(12), pages 1981-1998.
  4. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
  5. 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).
  6. Rout, Ullash K. & Blesl, Markus & Fahl, Ulrich & Remme, Uwe & Voß, Alfred, 2009. "Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model," Energy Policy, Elsevier, vol. 37(11), pages 4927-4942, November.
  7. 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.
  8. Berry, Stephen & Davidson, Kathryn, 2015. "Zero energy homes – Are they economically viable?," Energy Policy, Elsevier, vol. 85(C), pages 12-21.
  9. del Río, Pablo & Bleda, Mercedes, 2012. "Comparing the innovation effects of support schemes for renewable electricity technologies: A function of innovation approach," Energy Policy, Elsevier, vol. 50(C), pages 272-282.
  10. Darmani, Anna, 2015. "Renewable energy investors in Sweden: A cross-subsector analysis of dynamic capabilities," Utilities Policy, Elsevier, vol. 37(C), pages 46-57.
  11. Bernardos, Eva & López, Ignacio & Rodríguez, Javier & Abánades, Alberto, 2013. "Assessing the potential of hybrid fossil–solar thermal plants for energy policy making: Brayton cycles," Energy Policy, Elsevier, vol. 62(C), pages 99-106.
  12. Joan Canton & Åsa Johannesson Lindén, 2010. "Support schemes for renewable electricity in the EU," European Economy - Economic Papers 2008 - 2015 408, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
  13. Tooraj Jamasb, 2006. "Technical Change Theory and Learning Curves: Patterns of Progress in Energy Technologies," Working Papers EPRG 0608, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  14. Claire Nicolas & Stéphane Tchung-Ming & Emmanuel Hache, 2016. "Energy transition in transportation under cost uncertainty, an assessment based on robust optimization," Working Papers hal-02475943, HAL.
  15. Bello, Saheed & Reiner, David, 2025. "Experience curve analyses for green hydrogen technology development," Technological Forecasting and Social Change, Elsevier, vol. 220(C).
  16. Winkler, Harald & Hughes, Alison & Haw, Mary, 2009. "Technology learning for renewable energy: Implications for South Africa's long-term mitigation scenarios," Energy Policy, Elsevier, vol. 37(11), pages 4987-4996, November.
  17. 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.
  18. Desroches, Louis-Benoit & Garbesi, Karina & Kantner, Colleen & Van Buskirk, Robert & Yang, Hung-Chia, 2013. "Incorporating experience curves in appliance standards analysis," Energy Policy, Elsevier, vol. 52(C), pages 402-416.
  19. Rausser, Gordon C. & Papineau, Maya, 2008. "Managing R&D Risk in Renewable Energy," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt41j9f6ks, Department of Agricultural & Resource Economics, UC Berkeley.
  20. Frondel, Manuel & Ritter, Nolan & Schmidt, Christoph M., 2008. "Germany's solar cell promotion: Dark clouds on the horizon," Energy Policy, Elsevier, vol. 36(11), pages 4198-4204, November.
  21. Candelise, Chiara & Winskel, Mark & Gross, Robert J.K., 2013. "The dynamics of solar PV costs and prices as a challenge for technology forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 96-107.
  22. Zhai, Pei, 2013. "Analyzing solar energy policies using a three-tier model: A case study of photovoltaics adoption in Arizona, United States," Renewable Energy, Elsevier, vol. 57(C), pages 317-322.
  23. 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.
  24. Xiaoru Zhuang & Xinhai Xu & Wenrui Liu & Wenfu Xu, 2019. "LCOE Analysis of Tower Concentrating Solar Power Plants Using Different Molten-Salts for Thermal Energy Storage in China," Energies, MDPI, vol. 12(7), pages 1-17, April.
  25. Yi Zhou & Alun Gu, 2019. "Learning Curve Analysis of Wind Power and Photovoltaics Technology in US: Cost Reduction and the Importance of Research, Development and Demonstration," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
  26. Ansar, Jasmin & Sparks, Roger, 2009. "The experience curve, option value, and the energy paradox," Energy Policy, Elsevier, vol. 37(3), pages 1012-1020, March.
  27. Bolinger, Mark & Wiser, Ryan, 2012. "Understanding wind turbine price trends in the U.S. over the past decade," Energy Policy, Elsevier, vol. 42(C), pages 628-641.
  28. Newbery, David, 2018. "Evaluating the case for supporting renewable electricity," Energy Policy, Elsevier, vol. 120(C), pages 684-696.
  29. 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.
  30. Harashima, Taiji, 2009. "A Theory of Total Factor Productivity and the Convergence Hypothesis: Workers’ Innovations as an Essential Element," MPRA Paper 15508, University Library of Munich, Germany.
  31. Grubb, Michael & Hinder, Ben & Dye, Laura & Nixon, Hannah, 2025. "Regulatory Impact Assessment in the energy transition era: insights from the UK experience," Utilities Policy, Elsevier, vol. 96(C).
  32. Strupeit, Lars, 2017. "An innovation system perspective on the drivers of soft cost reduction for photovoltaic deployment: The case of Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 273-286.
  33. Eyer, Jonathan, 2018. "The effect of firm size on fracking safety," Resource and Energy Economics, Elsevier, vol. 53(C), pages 101-113.
  34. Bolinger, Mark & Wiser, Ryan, 2009. "Wind power price trends in the United States: Struggling to remain competitive in the face of strong growth," Energy Policy, Elsevier, vol. 37(3), pages 1061-1071, March.
  35. 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.
  36. Harashima, Taiji, 2014. "Division of Work and Fragmented Information: An Explanation for the Diminishing Marginal Product of Labor," MPRA Paper 56301, University Library of Munich, Germany.
  37. Alberth, Stephan & Hope, Chris, 2007. "Climate modelling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model," Energy Policy, Elsevier, vol. 35(3), pages 1795-1807, March.
  38. 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).
  39. 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.
  40. 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.
  41. repec:aen:journl:2008v29-03-a07 is not listed on IDEAS
  42. Hwang Won-Sik & Oh Inha & Lee Jeong-Dong, 2014. "The Impact of Korea’s Green Growth Policies on the National Economy and Environment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(4), pages 1585-1614, October.
  43. 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).
  44. Berry, Stephen & Davidson, Kathryn, 2016. "Improving the economics of building energy code change: A review of the inputs and assumptions of economic models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 157-166.
  45. 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.
  46. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
  47. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
  48. 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.
  49. 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.
  50. 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.
  51. Harashima, Taiji, 2011. "A Model of Total Factor Productivity Built on Hayek’s View of Knowledge: What Really Went Wrong with Socialist Planned Economies?," MPRA Paper 29107, University Library of Munich, Germany.
  52. Manuel Frondel & Nolan Ritter & Christoph M. Schmidt, 2008. "Germany's Solar Cell Promotion: Dark Clouds on the Horizon," Ruhr Economic Papers 0040, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  53. 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).
  54. del Río, Pablo & Tarancón, Miguel-Ángel, 2012. "Analysing the determinants of on-shore wind capacity additions in the EU: An econometric study," Applied Energy, Elsevier, vol. 95(C), pages 12-21.
  55. Harashima, Taiji, 2012. "A Theory of Intelligence and Total Factor Productivity: Value Added Reflects the Fruits of Fluid Intelligence," MPRA Paper 43151, University Library of Munich, Germany.
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