IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!)

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

by Söderholm, Patrik & Sundqvist, Thomas

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as
in new window


  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. Elofsson, Katarina & Gren, Ing-Marie, 2014. "Cost-efficient climate policies for interdependent and uncertain carbon pools," Working Paper Series 2014:7, Department Economics, Swedish University of Agricultural Sciences.
  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. 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.
  5. 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.
  6. 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.
  7. Johannes Emmerling & Laurent Drouet & Lara Aleluia Reis & Michela Bevione & Loic Berger & Valentina Bosetti & Samuel Carrara & Enrica De Cian & Gauthier De Maere D'Aertrycke & Tom Longden & Maurizio M, 2016. "The WITCH 2016 Model - Documentation and Implementation of the Shared Socioeconomic Pathways," Working Papers 2016.42, Fondazione Eni Enrico Mattei.
  8. 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.
  9. 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.
  10. Popp, David & Newell, Richard G. & Jaffe, Adam B., 2010. "Energy, the Environment, and Technological Change," Handbook of the Economics of Innovation, Elsevier.
  11. Mauleón, Ignacio, 2016. "Photovoltaic learning rate estimation: Issues and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 507-524.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, Open Access Journal, vol. 9(11), pages 1-25, November.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. Darmani, Anna, 2015. "Renewable energy investors in Sweden: A cross-subsector analysis of dynamic capabilities," Utilities Policy, Elsevier, vol. 37(C), pages 46-57.
  23. repec:eee:rensus:v:74:y:2017:i:c:p:1379-1393 is not listed on IDEAS
  24. 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.
  25. 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.
  26. David Popp, 2015. "Using Scientific Publications to Evaluate Government R&D Spending: The Case of Energy," CESifo Working Paper Series 5442, CESifo Group Munich.
  27. 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.
  28. Miklós Antal & Ardjan Gazheli & Jeroen van den Bergh, 2012. "Behavioral Foundations of Sustainability Transitions," WWWforEurope Working Papers series 3, WWWforEurope.
  29. 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.
  30. Elofsson, Katarina, 2014. "International knowledge diffusion and its impact on the cost-effective clean-up of the Baltic Sea," Working Paper Series 2014:06, Department Economics, Swedish University of Agricultural Sciences.
  31. repec:eee:enepol:v:107:y:2017:i:c:p:532-538 is not listed on IDEAS
  32. Enrica De Cian & Johannes Buhl & Samuel Carrara & Michela Bevione & Silvia Monetti & Holger Berg, 2016. "Knowledge Creation between Integrated Assessment Models and Initiative-Based Learning - An Interdisciplinary Approach," Working Papers 2016.66, Fondazione Eni Enrico Mattei.
  33. Wu, Jung-Hua & Huang, Yun-Hsun, 2014. "Electricity portfolio planning model incorporating renewable energy characteristics," Applied Energy, Elsevier, vol. 119(C), pages 278-287.
  34. 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.
  35. 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.
  36. Witajewski-Baltvilks, Jan & Verdolini, Elena & Tavoni, Massimo, 2015. "Bending the learning curve," Energy Economics, Elsevier, vol. 52(S1), pages 86-99.
  37. repec:eee:enepol:v:106:y:2017:i:c:p:427-435 is not listed on IDEAS
  38. 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 Working Papers JRC61065, Joint Research Centre (Seville site).
  39. 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.
  40. 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.
  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. 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.
  43. 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.
  44. 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).
  45. 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.
  46. Partridge, Ian, 2013. "Renewable electricity generation in India—A learning rate analysis," Energy Policy, Elsevier, vol. 60(C), pages 906-915.
  47. 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.
  48. 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.
  49. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
  50. 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.
  51. 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.
  52. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
  53. 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.
  54. Audrey Laude & Christian Jonen, 2011. "Biomass and CCS: The influence of the learning effect," Working Papers halshs-00829779, HAL.
  55. 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.
  56. 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.
  57. 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).
  58. 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.
  59. 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.
  60. 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.
  61. 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.
  62. 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.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.