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Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology

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Cited by:

  1. Christopher L. Benson & Christopher L. Magee, 2015. "Technology structural implications from the extension of a patent search method," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1965-1985, March.
  2. 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.
  3. Byrne, John & Kurdgelashvili, Lado & Poponi, Daniele & Barnett, Allen, 2004. "The potential of solar electric power for meeting future US energy needs: a comparison of projections of solar electric energy generation and Arctic National Wildlife Refuge oil production," Energy Policy, Elsevier, vol. 32(2), pages 289-297, January.
  4. Lehmann, Paul, 2009. "Climate Policies with Pollution Externalities and Learning Spillovers," MPRA Paper 21353, University Library of Munich, Germany.
  5. Ibenholt, Karin, 2002. "Explaining learning curves for wind power," Energy Policy, Elsevier, vol. 30(13), pages 1181-1189, October.
  6. Stavins, Robert & Jaffe, Adam & Newell, Richard, 2000. "Technological Change and the Environment," Working Paper Series rwp00-002, Harvard University, John F. Kennedy School of Government.
  7. Papineau, Maya, 2006. "An economic perspective on experience curves and dynamic economies in renewable energy technologies," Energy Policy, Elsevier, vol. 34(4), pages 422-432, March.
  8. Gosens, Jorrit & Hedenus, Fredrik & Sandén, Björn A., 2017. "Faster market growth of wind and PV in late adopters due to global experience build-up," Energy, Elsevier, vol. 131(C), pages 267-278.
  9. Yu, Hyun Jin Julie, 2018. "A prospective economic assessment of residential PV self-consumption with batteries and its systemic effects: The French case in 2030," Energy Policy, Elsevier, vol. 113(C), pages 673-687.
  10. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
  11. Lehmann, Paul & Gawel, Erik, 2013. "Why should support schemes for renewable electricity complement the EU emissions trading scheme?," Energy Policy, Elsevier, vol. 52(C), pages 597-607.
  12. Dominique Finon, 2008. "L'inadéquation du mode de subvention du photovoltaïque à sa maturité technologique," Working Papers hal-00866415, HAL.
  13. Julien Jacob & Sandrine Spaeter, 2016. "Large-Scale Risks and Technological Change: What About Limited Liability?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 18(1), pages 125-142, February.
  14. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
  15. Qiu, Yueming & Anadon, Laura D., 2012. "The price of wind power in China during its expansion: Technology adoption, learning-by-doing, economies of scale, and manufacturing localization," Energy Economics, Elsevier, vol. 34(3), pages 772-785.
  16. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
  17. Tsai, Bi-Huei & Chang, Chih-Jen & Chang, Chun-Hsien, 2016. "Elucidating the consumption and CO2 emissions of fossil fuels and low-carbon energy in the United States using Lotka–Volterra models," Energy, Elsevier, vol. 100(C), pages 416-424.
  18. Hong, Soonpa & Yang, Taeyong & Chang, Hyun Joon & Hong, Sungjun, 2020. "The effect of switching renewable energy support systems on grid parity for photovoltaics: Analysis using a learning curve model," Energy Policy, Elsevier, vol. 138(C).
  19. Kobos, Peter H. & Erickson, Jon D. & Drennen, Thomas E., 2006. "Technological learning and renewable energy costs: implications for US renewable energy policy," Energy Policy, Elsevier, vol. 34(13), pages 1645-1658, September.
  20. Blazquez, Jorge & Nezamuddin, Nora & Zamrik, Tamim, 2018. "Economic policy instruments and market uncertainty: Exploring the impact on renewables adoption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 224-233.
  21. 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.
  22. Seel, Joachim & Barbose, Galen L. & Wiser, Ryan H., 2014. "An analysis of residential PV system price differences between the United States and Germany," Energy Policy, Elsevier, vol. 69(C), pages 216-226.
  23. 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.
  24. 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.
  25. Rivers, Nic & Jaccard, Mark, 2006. "Choice of environmental policy in the presence of learning by doing," Energy Economics, Elsevier, vol. 28(2), pages 223-242, March.
  26. 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.
  27. C. Harmon, 2000. "Experience Curves of Photovoltaic Technology," Working Papers ir00014, International Institute for Applied Systems Analysis.
  28. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves for pulverized coal-fired utility boilers," Energy, Elsevier, vol. 32(10), pages 1996-2005.
  29. 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.
  30. 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.
  31. Reichenbach, Johanna & Requate, Till, 2012. "Subsidies for renewable energies in the presence of learning effects and market power," Resource and Energy Economics, Elsevier, vol. 34(2), pages 236-254.
  32. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
  33. 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.
  34. Taillant, P., 2001. "Compétition technologique, rendements croissants et lock-in dans la production d'électricité d'origine solaire photovoltaïque," Cahiers du CREDEN (CREDEN Working Papers) 01.10.25, CREDEN (Centre de Recherche en Economie et Droit de l'Energie), Faculty of Economics, University of Montpellier 1.
  35. Frondel, Manuel & Ritter, Nolan & Schmidt, Christoph M. & Vance, Colin, 2010. "Economic impacts from the promotion of renewable energy technologies: The German experience," Energy Policy, Elsevier, vol. 38(8), pages 4048-4056, August.
  36. Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
  37. 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.
  38. Andersson, Bjorn A. & Jacobsson, Staffan, 2000. "Monitoring and assessing technology choice: the case of solar cells," Energy Policy, Elsevier, vol. 28(14), pages 1037-1049, November.
  39. Sanden, Bjorn A. & Azar, Christian, 2005. "Near-term technology policies for long-term climate targets--economy wide versus technology specific approaches," Energy Policy, Elsevier, vol. 33(12), pages 1557-1576, August.
  40. Yu, Yang & Li, Hong & Che, Yuyuan & Zheng, Qiongjie, 2017. "The price evolution of wind turbines in China: A study based on the modified multi-factor learning curve," Renewable Energy, Elsevier, vol. 103(C), pages 522-536.
  41. Karali, Nihan & Park, Won Young & McNeil, Michael, 2017. "Modeling technological change and its impact on energy savings in the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 202(C), pages 447-458.
  42. repec:zbw:rwirep:0040 is not listed on IDEAS
  43. Weisser, Daniel, 2004. "Power sector reform in small island developing states: what role for renewable energy technologies?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(2), pages 101-127, April.
  44. 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.
  45. 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.
  46. Loschel, Andreas, 2002. "Technological change in economic models of environmental policy: a survey," Ecological Economics, Elsevier, vol. 43(2-3), pages 105-126, December.
  47. Szabó, Sándor & Jäger-Waldau, Arnulf & Szabó, László, 2010. "Risk adjusted financial costs of photovoltaics," Energy Policy, Elsevier, vol. 38(7), pages 3807-3819, July.
  48. Kumbaroglu, Gürkan & Madlener, Reinhard & Demirel, Mustafa, 2008. "A real options evaluation model for the diffusion prospects of new renewable power generation technologies," Energy Economics, Elsevier, vol. 30(4), pages 1882-1908, July.
  49. Dominique Finon, 2008. "L'inadéquation du mode de subvention du photovoltaïque à sa maturité technologique," CIRED Working Papers hal-00866415, HAL.
  50. Bose, A.S. & Sarkar, S., 2019. "India's e-reverse auctions (2017–2018) for allocating renewable energy capacity: An evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 762-774.
  51. Kamp, Linda M. & Smits, Ruud E. H. M. & Andriesse, Cornelis D., 2004. "Notions on learning applied to wind turbine development in the Netherlands and Denmark," Energy Policy, Elsevier, vol. 32(14), pages 1625-1637, September.
  52. Keiko Hirota & Minato Kiyoyuki & Kii Masanobu, 2004. "Backcasting energy saving and CO2 emission reductions by using feebates system in Japan," ERSA conference papers ersa04p328, European Regional Science Association.
  53. Schröer, Sebastian & Zierahn, Ulrich, 2009. "Die deutschen Ausbauziele für erneuerbare Energien: Eine Effizienzanalyse," HWWI Research Papers 1-27, Hamburg Institute of International Economics (HWWI).
  54. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
  55. Isoard, Stephane & Soria, Antonio, 2001. "Technical change dynamics: evidence from the emerging renewable energy technologies," Energy Economics, Elsevier, vol. 23(6), pages 619-636, November.
  56. Buchholz, Wolfgang & Dippl, Lisa & Eichenseer, Michael, 2019. "Subsidizing renewables as part of taking leadership in international climate policy: The German case," Energy Policy, Elsevier, vol. 129(C), pages 765-773.
  57. Yan Xu & Jiahai Yuan & Jianxiu Wang, 2017. "Learning of Power Technologies in China: Staged Dynamic Two-Factor Modeling and Empirical Evidence," Sustainability, MDPI, vol. 9(5), pages 1-14, May.
  58. Gillingham, Kenneth & Newell, Richard G. & Pizer, William A., 2008. "Modeling endogenous technological change for climate policy analysis," Energy Economics, Elsevier, vol. 30(6), pages 2734-2753, November.
  59. Sims, Ralph E. H. & Rogner, Hans-Holger & Gregory, Ken, 2003. "Carbon emission and mitigation cost comparisons between fossil fuel, nuclear and renewable energy resources for electricity generation," Energy Policy, Elsevier, vol. 31(13), pages 1315-1326, October.
  60. Colpier, Ulrika Claeson & Cornland, Deborah, 2002. "The economics of the combined cycle gas turbine--an experience curve analysis," Energy Policy, Elsevier, vol. 30(4), pages 309-316, March.
  61. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2003. "Chapter 11 Technological change and the environment," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 1, chapter 11, pages 461-516, Elsevier.
  62. Greaker, Mads & Lund Sagen, Eirik, 2008. "Explaining experience curves for new energy technologies: A case study of liquefied natural gas," Energy Economics, Elsevier, vol. 30(6), pages 2899-2911, November.
  63. Ek, Kristina & Persson, Lars & Johansson, Maria & Waldo, Åsa, 2013. "Location of Swedish wind power—Random or not? A quantitative analysis of differences in installed wind power capacity across Swedish municipalities," Energy Policy, Elsevier, vol. 58(C), pages 135-141.
  64. Nicodemus, Julia Haltiwanger, 2018. "Technological learning and the future of solar H2: A component learning comparison of solar thermochemical cycles and electrolysis with solar PV," Energy Policy, Elsevier, vol. 120(C), pages 100-109.
  65. Garcia, Raquel S. & Weisser, Daniel, 2006. "A wind–diesel system with hydrogen storage: Joint optimisation of design and dispatch," Renewable Energy, Elsevier, vol. 31(14), pages 2296-2320.
  66. Clas‐Otto Wene, 2016. "Future energy system development depends on past learning opportunities," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(1), pages 16-32, January.
  67. 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.
  68. Kubiszewski, Ida & Cleveland, Cutler J. & Endres, Peter K., 2010. "Meta-analysis of net energy return for wind power systems," Renewable Energy, Elsevier, vol. 35(1), pages 218-225.
  69. Wüstemeyer, Christoph & Bunn, Derek & Madlener, Reinhard, 2012. "Bridging the Gap between Onshore and Offshore Innovations by the European Wind Power Supply Industry: A Survey-based Analysis," FCN Working Papers 19/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  70. Hellsmark, Hans & Jacobsson, Staffan, 2012. "Realising the potential of gasified biomass in the European Union—Policy challenges in moving from demonstration plants to a larger scale diffusion," Energy Policy, Elsevier, vol. 41(C), pages 507-518.
  71. Stine Grenaa Jensen, 2004. "Describing Technological Development with Quantitative Models," Energy & Environment, , vol. 15(2), pages 187-200, March.
  72. 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.
  73. Wüstemeyer, Christoph & Madlener, Reinhard & Bunn, Derek W., 2015. "A stakeholder analysis of divergent supply-chain trends for the European onshore and offshore wind installations," Energy Policy, Elsevier, vol. 80(C), pages 36-44.
  74. Lim, Jin Han & Dally, Bassam B. & Chinnici, Alfonso & Nathan, Graham J., 2017. "Techno-economic evaluation of modular hybrid concentrating solar power systems," Energy, Elsevier, vol. 129(C), pages 158-170.
  75. Floortje Alkemade & Marko Hekkert, 2009. "Development paths for emerging innovation systems: implications for environmental innovations," Innovation Studies Utrecht (ISU) working paper series 09-08, Utrecht University, Department of Innovation Studies, revised Apr 2009.
  76. Allan, Grant & Gilmartin, Michelle & McGregor, Peter & Swales, Kim, 2011. "Levelised costs of Wave and Tidal energy in the UK: Cost competitiveness and the importance of "banded" Renewables Obligation Certificates," Energy Policy, Elsevier, vol. 39(1), pages 23-39, January.
  77. 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.
  78. 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.
  79. Chen, Huayi & Zhou, P., 2019. "Modeling systematic technology adoption: Can one calibrated representative agent represent heterogeneous agents?," Omega, Elsevier, vol. 89(C), pages 257-270.
  80. 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.
  81. 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.
  82. Jaccard, Mark & Murphy, Rose & Rivers, Nic, 2004. "Energy-environment policy modeling of endogenous technological change with personal vehicles: combining top-down and bottom-up methods," Ecological Economics, Elsevier, vol. 51(1-2), pages 31-46, November.
  83. Dinica, Valentina, 2011. "Renewable electricity production costs--A framework to assist policy-makers' decisions on price support," Energy Policy, Elsevier, vol. 39(7), pages 4153-4167, July.
  84. Kumbaroglu, Gürkan & Karali, Nihan & ArIkan, YIldIz, 2008. "CO2, GDP and RET: An aggregate economic equilibrium analysis for Turkey," Energy Policy, Elsevier, vol. 36(7), pages 2694-2708, July.
  85. Berglund, Christer & Soderholm, Patrik, 2006. "Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models," Energy Policy, Elsevier, vol. 34(12), pages 1344-1356, August.
  86. Fabrizio, Kira R. & Hawn, Olga, 2013. "Enabling diffusion: How complementary inputs moderate the response to environmental policy," Research Policy, Elsevier, vol. 42(5), pages 1099-1111.
  87. Liang, Yuanyuan & Yu, Biying & Wang, Lu, 2019. "Costs and benefits of renewable energy development in China's power industry," Renewable Energy, Elsevier, vol. 131(C), pages 700-712.
  88. 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.
  89. 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.
  90. Horbach, Jens & Rammer, Christian, 2018. "Energy transition in Germany and regional spill-overs: The diffusion of renewable energy in firms," Energy Policy, Elsevier, vol. 121(C), pages 404-414.
  91. Szabó, Sándor & Jäger-Waldau, Arnulf, 2008. "More competition: Threat or chance for financing renewable electricity?," Energy Policy, Elsevier, vol. 36(4), pages 1436-1447, April.
  92. 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.
  93. 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.
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  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. Bläsi, Albrecht & Requate, Till, 2007. "Subsidies for Wind Power: Surfing down the Learning Curve?," Economics Working Papers 2007-28, Christian-Albrechts-University of Kiel, Department of Economics.
  97. Christiansen, Atle Christer, 2002. "New renewable energy developments and the climate change issue: a case study of Norwegian politics," Energy Policy, Elsevier, vol. 30(3), pages 235-243, February.
  98. Mitscher, Martin & Rüther, Ricardo, 2012. "Economic performance and policies for grid-connected residential solar photovoltaic systems in Brazil," Energy Policy, Elsevier, vol. 49(C), pages 688-694.
  99. Martin Jakob & Reinhard Madlener, 2003. "Exploring Experience Curves for the Building Envelope: An Investigation for Switzerland for 1970–2020," CEPE Working paper series 03-22, CEPE Center for Energy Policy and Economics, ETH Zurich.
  100. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
  101. Olaofe, Z.O., 2018. "Review of energy systems deployment and development of offshore wind energy resource map at the coastal regions of Africa," Energy, Elsevier, vol. 161(C), pages 1096-1114.
  102. Danlu Xu & Zhoubin Liu & Jiahui Zhu & Qin Fang & Rui Shan, 2023. "Linking Cost Decline and Demand Surge in the Hydrogen Market: A Case Study in China," Energies, MDPI, vol. 16(12), pages 1-13, June.
  103. Gan, Peck Yean & Komiyama, Ryoichi & Li, ZhiDong, 2013. "A low carbon society outlook for Malaysia to 2035," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 432-443.
  104. Kar, Sanjay Kumar & Sharma, Atul & Roy, Biswajit, 2016. "Solar energy market developments in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 121-133.
  105. Cong, Rong-Gang & Shen, Shaochuan, 2014. "How to Develop Renewable Power in China? A Cost-Effective Perspective," MPRA Paper 112209, University Library of Munich, Germany.
  106. Radpour, S. & Gemechu, E. & Ahiduzzaman, Md & Kumar, A., 2021. "Developing a framework to assess the long-term adoption of renewable energy technologies in the electric power sector: The effects of carbon price and economic incentives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
  107. Schilling, Melissa A. & Esmundo, Melissa, 2009. "Technology S-curves in renewable energy alternatives: Analysis and implications for industry and government," Energy Policy, Elsevier, vol. 37(5), pages 1767-1781, May.
  108. 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.
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  110. Jakob, Martin, 2006. "Marginal costs and co-benefits of energy efficiency investments: The case of the Swiss residential sector," Energy Policy, Elsevier, vol. 34(2), pages 172-187, January.
  111. Blanco, María Isabel, 2009. "The economics of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1372-1382, August.
  112. Shrimali, Gireesh & Trivedi, Saurabh & Srinivasan, Sandhya & Goel, Shobhit & Nelson, David, 2016. "Cost-effective policies for reaching India's 2022 renewable targets," Renewable Energy, Elsevier, vol. 93(C), pages 255-268.
  113. Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki & Inagaki, Yugo & Morgan, Peter J., 2021. "Analyzing the factors influencing the demand and supply of solar modules in Japan – Does financing matter," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 1-12.
  114. Weisser, D, 2003. "A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function," Renewable Energy, Elsevier, vol. 28(11), pages 1803-1812.
  115. Johansson, Bengt, 2009. "Will restrictions on CO2 emissions require reductions in transport demand?," Energy Policy, Elsevier, vol. 37(8), pages 3212-3220, August.
  116. Tibebu, Tiruwork B. & Hittinger, Eric & Miao, Qing & Williams, Eric, 2022. "Roles of diffusion patterns, technological progress, and environmental benefits in determining optimal renewable subsidies in the US," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  117. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
  118. Xin-gang, Zhao & Wei, Wang & Jieying, Wang, 2022. "The policy effects of demand-pull and technology-push on the diffusion of wind power: A scenario analysis based on system dynamics approach," Energy, Elsevier, vol. 261(PA).
  119. Reinhard Madlener & Carmenza Robledo & Bart Muys & Bo Hektor & Julije Domac, 2003. "A Sustainability Framework for Enhancing the Long-Term Success of LULUCF Projects," CEPE Working paper series 03-29, CEPE Center for Energy Policy and Economics, ETH Zurich.
  120. Xu, Jiuping & Li, Li & Zheng, Bobo, 2016. "Wind energy generation technological paradigm diffusion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 436-449.
  121. Weisser, Daniel, 2004. "On the economics of electricity consumption in small island developing states: a role for renewable energy technologies?," Energy Policy, Elsevier, vol. 32(1), pages 127-140, January.
  122. Odam, Neil & de Vries, Frans P., 2020. "Innovation modelling and multi-factor learning in wind energy technology," Energy Economics, Elsevier, vol. 85(C).
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