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Technological learning and renewable energy costs: implications for US renewable energy policy

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  1. Cantono, Simona, 2012. "Unveiling diffusion dynamics: an autocatalytic percolation model of environmental innovation diffusion and the optimal dynamic path of adoption subsidies," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201222, University of Turin.
  2. Bosetti, Valentina & Catenacci, Michela & Fiorese, Giulia & Verdolini, Elena, 2012. "The future prospect of PV and CSP solar technologies: An expert elicitation survey," Energy Policy, Elsevier, vol. 49(C), pages 308-317.
  3. Kundu, Nobinkhor, 2014. "Sustainable energy for Development: Access to finance on renewable energy and energy efficiency technologies for Bangladesh," MPRA Paper 65154, University Library of Munich, Germany, revised 20 Jun 2014.
  4. Guo, Jian-Xin & Zhu, Lei & Fan, Ying, 2016. "Emission path planning based on dynamic abatement cost curve," European Journal of Operational Research, Elsevier, vol. 255(3), pages 996-1013.
  5. Xin-gang, Zhao & Yi, Zuo & Hui, Wang & Zhen, Wang, 2022. "How can the cost and effectiveness of renewable portfolio standards be coordinated? Incentive mechanism design from the coevolution perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
  6. Yuan, Xue-liang & Zuo, Jian, 2011. "Pricing and affordability of renewable energy in China – A case study of Shandong Province," Renewable Energy, Elsevier, vol. 36(3), pages 1111-1117.
  7. Fischer, Carolyn & Newell, Richard G. & Preonas, Louis, 2013. "Environmental and Technology Policy Options in the Electricity Sector: Interactions and Outcomes," RFF Working Paper Series dp-13-20, Resources for the Future.
  8. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
  9. Schauf, Magnus & Schwenen, Sebastian, 2021. "Mills of progress grind slowly? Estimating learning rates for onshore wind energy," Energy Economics, Elsevier, vol. 104(C).
  10. Connelly, Michael C. & Sekhar, J.A., 2012. "U. S. energy production activity and innovation," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 30-46.
  11. Morgan Bazilian & Patrick Nussbaumer & Hans-Holger Rogner & Abeeku Brew-Hammond & Vivien Foster & Shonali Pachauri & Eric Williams & Mark Howells & Philippe Niyongabo & Lawrence Musaba & Brian Ó Galla, 2011. "Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa," Working Papers 2011.68, Fondazione Eni Enrico Mattei.
  12. 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.
  13. de La Tour, Arnaud & Glachant, Matthieu & Ménière, Yann, 2013. "Predicting the costs of photovoltaic solar modules in 2020 using experience curve models," Energy, Elsevier, vol. 62(C), pages 341-348.
  14. Xu, Qi & Liu, Kui, 2024. "Hero or Devil: A comparison of different carbon tax policies for China," Energy, Elsevier, vol. 306(C).
  15. Milad Mousavian, H. & Hamed Shakouri, G. & Mashayekhi, Ali-Naghi & Kazemi, Aliyeh, 2020. "Does the short-term boost of renewable energies guarantee their stable long-term growth? Assessment of the dynamics of feed-in tariff policy," Renewable Energy, Elsevier, vol. 159(C), pages 1252-1268.
  16. Olaleye, Olaitan & Baker, Erin, 2015. "Large scale scenario analysis of future low carbon energy options," Energy Economics, Elsevier, vol. 49(C), pages 203-216.
  17. Karakaya, Emrah, 2016. "Finite Element Method for forecasting the diffusion of photovoltaic systems: Why and how?," Applied Energy, Elsevier, vol. 163(C), pages 464-475.
  18. Newbery, David M., 2016. "Towards a green energy economy? The EU Energy Union’s transition to a low-carbon zero subsidy electricity system – Lessons from the UK’s Electricity Market Reform," Applied Energy, Elsevier, vol. 179(C), pages 1321-1330.
  19. 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.
  20. Victoria Kihlström & Jörgen Elbe, 2021. "Constructing Markets for Solar Energy—A Review of Literature about Market Barriers and Government Responses," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
  21. 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.
  22. Ahmadi, Esmaeil & McLellan, Benjamin & Tezuka, Tetsuo, 2020. "The economic synergies of modelling the renewable energy-water nexus towards sustainability," Renewable Energy, Elsevier, vol. 162(C), pages 1347-1366.
  23. 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.
  24. Bointner, Raphael, 2014. "Innovation in the energy sector: Lessons learnt from R&D expenditures and patents in selected IEA countries," Energy Policy, Elsevier, vol. 73(C), pages 733-747.
  25. Bongsuk Sung & Myung-Bae Yeom & Hong-Gi Kim, 2017. "Eco-Efficiency of Government Policy and Exports in the Bioenergy Technology Market," Sustainability, MDPI, vol. 9(9), pages 1-18, September.
  26. Shafiullah, Muhammad & Miah, Mohammad Dulal & Alam, Md Samsul & Atif, Muhammad, 2021. "Does economic policy uncertainty affect renewable energy consumption?," Renewable Energy, Elsevier, vol. 179(C), pages 1500-1521.
  27. 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.
  28. Lin, Boqiang & Li, Jianglong, 2015. "Analyzing cost of grid-connection of renewable energy development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1373-1382.
  29. Clément Bonnet, 2016. "Measuring Knowledge with Patent Data: an Application to Low Carbon Energy Technologies," EconomiX Working Papers 2016-37, University of Paris Nanterre, EconomiX.
  30. 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.
  31. Berthélemy, Michel & Escobar Rangel, Lina, 2015. "Nuclear reactors' construction costs: The role of lead-time, standardization and technological progress," Energy Policy, Elsevier, vol. 82(C), pages 118-130.
  32. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
  33. 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.
  34. 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.
  35. Laktuka, Krista & Pakere, Ieva & Kalnbalkite, Antra & Zlaugotne, Beate & Blumberga, Dagnija, 2023. "Renewable energy project implementation: Will the Baltic States catch up with the Nordic countries?," Utilities Policy, Elsevier, vol. 82(C).
  36. Jeon, Chanwoong & Shin, Juneseuk, 2014. "Long-term renewable energy technology valuation using system dynamics and Monte Carlo simulation: Photovoltaic technology case," Energy, Elsevier, vol. 66(C), pages 447-457.
  37. Cowan, Kelly R. & Daim, Tugrul U., 2011. "Review of technology acquisition and adoption research in the energy sector," Technology in Society, Elsevier, vol. 33(3), pages 183-199.
  38. Grubb, Michael & Drummond, Paul & Poncia, Alexandra & McDowall, Will & Popp, David & Samadi, Sascha & Penasco, Cristina & Gillingham, Kenneth T. & Smulders, Sjak & Glachant, Matthieu & Hassall, Gavin , 2021. "Induced innovation in energy technologies and systems: A review of evidence and potential implications for CO2 mitigation," LSE Research Online Documents on Economics 113439, London School of Economics and Political Science, LSE Library.
  39. Kahouli, Bassem, 2018. "The causality link between energy electricity consumption, CO2 emissions, R&D stocks and economic growth in Mediterranean countries (MCs)," Energy, Elsevier, vol. 145(C), pages 388-399.
  40. Polzin, Friedemann, 2017. "Mobilizing private finance for low-carbon innovation – A systematic review of barriers and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 525-535.
  41. 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.
  42. Sung, Bongsuk, 2015. "Public policy supports and export performance of bioenergy technologies: A dynamic panel approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 477-495.
  43. 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).
  44. Jun Bai & Shixiang Li & Nan Wang & Jianru Shi & Xianmin Li, 2020. "Spatial Spillover Effect of New Energy Development on Economic Growth in Developing Areas of China—An Empirical Test Based on the Spatial Dubin Model," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
  45. 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).
  46. Clément Bonnet & Samuel Carcanague & Emmanuel Hache & Gondia Sokhna Seck & Marine Simoën, 2018. "The Nexus between Climate Negotiations and Low-Carbon Innovation : A Geopolitics of Renewable Energy Patents," Working Papers hal-03188847, HAL.
  47. Raphael Bointner & Simon Pezzutto & Gianluca Grilli & Wolfram Sparber, 2016. "Financing Innovations for the Renewable Energy Transition in Europe," Energies, MDPI, vol. 9(12), pages 1-16, November.
  48. Clément Bonnet, 2017. "Measuring Inventive Performance with Patent Data: an Application to Low Carbon Energy Technologies," Working Papers 1709, Chaire Economie du climat.
  49. Ma, Tao & Yu, Shen, 2024. "Strategizing CO2 emission commitments in mainland China by integrating the experiences of primary energy consumption structures from the European assemblage and the USA in 1971–2021," Energy, Elsevier, vol. 306(C).
  50. Kundu, Nobinkhor, 2014. "Sustainable Renewable Energy for Development: Access to Finance on Solar Energy for Bangladesh," MPRA Paper 68084, University Library of Munich, Germany, revised 15 Sep 2014.
  51. Nusrat Chowdhury & Chowdhury Akram Hossain & Michela Longo & Wahiba Yaïci, 2020. "Feasibility and Cost Analysis of Photovoltaic-Biomass Hybrid Energy System in Off-Grid Areas of Bangladesh," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
  52. Wenli Qiang & Shuwen Niu & Xiaojie Liu & Xiang Wang & Zhuo Jia & Runqi Dai, 2018. "Analysis of generation cost changes during China’s energy transition," Energy & Environment, , vol. 29(4), pages 456-472, June.
  53. Amela Ajanovic & Reinhard Haas, 2020. "On the economics and the future prospects of battery electric vehicles," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(6), pages 1151-1164, December.
  54. Kim, Hansung & Cheon, Hyungkyu & Ahn, Young-Hwan & Choi, Dong Gu, 2019. "Uncertainty quantification and scenario generation of future solar photovoltaic price for use in energy system models," Energy, Elsevier, vol. 168(C), pages 370-379.
  55. 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.
  56. Clement Bonnet, 2020. "Measuring Knowledge with Patent Data: an Application to Low Carbon Energy Technologies," Working Papers hal-02971680, HAL.
  57. Criqui, P. & Mima, S. & Menanteau, P. & Kitous, A., 2015. "Mitigation strategies and energy technology learning: An assessment with the POLES model," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 119-136.
  58. Berka, Anna L. & Harnmeijer, Jelte & Roberts, Deborah & Phimister, Euan & Msika, Joshua, 2017. "A comparative analysis of the costs of onshore wind energy: Is there a case for community-specific policy support?," Energy Policy, Elsevier, vol. 106(C), pages 394-403.
  59. 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.
  60. Choi, Donghyun & Kim, Yeong Jae, 2023. "Local and global experience curves for lumpy and granular energy technologies," Energy Policy, Elsevier, vol. 174(C).
  61. Bongsuk Sung & Woo-Yong Song, 2017. "Does Dynamic Efficiency of Public Policy Promote Export Prformance? Evidence from Bioenergy Technology Sector," Energies, MDPI, vol. 10(12), pages 1-18, December.
  62. Muñoz, José Ignacio & Sánchez de la Nieta, Agustín A. & Contreras, Javier & Bernal-Agustín, José L., 2009. "Optimal investment portfolio in renewable energy: The Spanish case," Energy Policy, Elsevier, vol. 37(12), pages 5273-5284, December.
  63. Dali T. Laxton, 2019. "Innovations in the Wind Energy Sector," CERGE-EI Working Papers wp647, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  64. 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.
  65. Iman Miremadi & Yadollah Saboohi, 2018. "Planning for Investment in Energy Innovation: Developing an Analytical Tool to Explore the Impact of Knowledge Flow," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 7-19.
  66. 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).
  67. 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.
  68. Wagner Sousa de Oliveira & Antonio Jorge Fernandes, 2012. "Optimization Model for Economic Evaluation of Wind Farms - How to Optimize a Wind Energy Project Economically and Technically," International Journal of Energy Economics and Policy, Econjournals, vol. 2(1), pages 10-20.
  69. He, Zhengxia & Cao, Changshuai & Kuai, Leyi & Zhou, Yanqing & Wang, Jianming, 2022. "Impact of policies on wind power innovation at different income levels: Regional differences in China based on dynamic panel estimation," Technology in Society, Elsevier, vol. 71(C).
  70. Dianat, Fateme & Khodakarami, Vahid & Hosseini, Seyed-Hossein & Shakouri G, Hamed, 2022. "Combining game theory concepts and system dynamics for evaluating renewable electricity development in fossil-fuel-rich countries in the Middle East and North Africa," Renewable Energy, Elsevier, vol. 190(C), pages 805-821.
  71. Hernandez-Negron, Christian G. & Baker, Erin & Goldstein, Anna P., 2023. "A hypothesis for experience curves of related technologies with an application to wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
  72. Siddiqui, Afzal & Fleten, Stein-Erik, 2010. "How to proceed with competing alternative energy technologies: A real options analysis," Energy Economics, Elsevier, vol. 32(4), pages 817-830, July.
  73. 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.
  74. Laleman, Ruben & Albrecht, Johan, 2014. "Comparing push and pull measures for PV and wind in Europe," Renewable Energy, Elsevier, vol. 61(C), pages 33-37.
  75. 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.
  76. Kostevšek, Anja & Petek, Janez & Čuček, Lidija & Pivec, Aleksandra, 2013. "Conceptual design of a municipal energy and environmental system as an efficient basis for advanced energy planning," Energy, Elsevier, vol. 60(C), pages 148-158.
  77. del Río, Pablo & Peñasco, Cristina & Mir-Artigues, Pere, 2018. "An overview of drivers and barriers to concentrated solar power in the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1019-1029.
  78. Kobos, Peter H. & Malczynski, Leonard A. & Walker, La Tonya N. & Borns, David J. & Klise, Geoffrey T., 2018. "Timing is everything: A technology transition framework for regulatory and market readiness levels," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 211-225.
  79. Juárez-Luna, David & Mosiño, Alejandro, 2024. "Electricity generation portfolios in Mexico: Environmental, economic, and policy implications," Energy Policy, Elsevier, vol. 192(C).
  80. 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.
  81. Eduard Gabriel Ceptureanu & Sebastian Ion Ceptureanu & Doina I. Popescu & Liviu Bogdan Vlad, 2017. "Two Stage Analysis of Successful Change Implementation of Knowledge Management Strategies in Energy Companies from Romania," Energies, MDPI, vol. 10(12), pages 1-17, November.
  82. Nuñez-Jimenez, Alejandro & Knoeri, Christof & Hoppmann, Joern & Hoffmann, Volker H., 2022. "Beyond innovation and deployment: Modeling the impact of technology-push and demand-pull policies in Germany's solar policy mix," Research Policy, Elsevier, vol. 51(10).
  83. Tang, Tian, 2018. "Explaining technological change in the US wind industry: Energy policies, technological learning, and collaboration," Energy Policy, Elsevier, vol. 120(C), pages 197-212.
  84. Batinge, Benjamin & Musango, Josephine Kaviti & Brent, Alan C., 2019. "Sustainable energy transition framework for unmet electricity markets," Energy Policy, Elsevier, vol. 129(C), pages 1090-1099.
  85. 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.
  86. Nakata, Toshihiko & Sato, Takemi & Wang, Hao & Kusunoki, Tomoya & Furubayashi, Takaaki, 2011. "Modeling technological learning and its application for clean coal technologies in Japan," Applied Energy, Elsevier, vol. 88(1), pages 330-336, January.
  87. Fangming Xie & Chuanzhe Liu & Huiying Chen & Ning Wang, 2018. "Threshold Effects of New Energy Consumption Transformation on Economic Growth," Sustainability, MDPI, vol. 10(11), pages 1-14, November.
  88. 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.
  89. Silva, Susana & Soares, Isabel & Afonso, Oscar, 2013. "Economic and environmental effects under resource scarcity and substitution between renewable and non-renewable resources," Energy Policy, Elsevier, vol. 54(C), pages 113-124.
  90. Zhang, Da & Chai, Qimin & Zhang, Xiliang & He, Jiankun & Yue, Li & Dong, Xiufen & Wu, Shu, 2012. "Economical assessment of large-scale photovoltaic power development in China," Energy, Elsevier, vol. 40(1), pages 370-375.
  91. Kyunam Kim & Eunnyeong Heo & Yeonbae Kim, 2017. "Dynamic Policy Impacts on a Technological-Change System of Renewable Energy: An Empirical Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(2), pages 205-236, February.
  92. Esmaeil Ahmadi & Benjamin McLellan & Seiichi Ogata & Behnam Mohammadi-Ivatloo & Tetsuo Tezuka, 2020. "An Integrated Planning Framework for Sustainable Water and Energy Supply," Sustainability, MDPI, vol. 12(10), pages 1-37, May.
  93. Karakaya, Emrah, 2014. "Finite Element Model of the Innovation Diffusion: An Application to Photovoltaic Systems," INDEK Working Paper Series 2014/6, Royal Institute of Technology, Department of Industrial Economics and Management.
  94. 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.
  95. Muhammad Yousaf Raza & Yingchao Chen & Songlin Tang, 2022. "Assessing the Green R&D Investment and Patent Generation in Pakistan towards CO 2 Emissions Reduction with a Novel Decomposition Framework," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
  96. Juan Francisco De Negri & Simon Pezzutto & Sonia Gantioler & David Moser & Wolfram Sparber, 2020. "A Comprehensive Analysis of Public and Private Funding for Photovoltaics Research and Development in the European Union, Norway, and Turkey," Energies, MDPI, vol. 13(11), pages 1-23, May.
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  101. 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.
  102. Miremadi, I. & Saboohi, Y. & Arasti, M., 2019. "The influence of public R&D and knowledge spillovers on the development of renewable energy sources: The case of the Nordic countries," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 450-463.
  103. Cristofari, C. & Storai, C. & Canaletti, J.L., 2014. "Development policy to increase the competitiveness of renewable energy-sector companies in a territory like Corsica (France)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 61-66.
  104. Vinel, Alexander & Mortaz, Ebrahim, 2019. "Optimal pooling of renewable energy sources with a risk-averse approach: Implications for US energy portfolio," Energy Policy, Elsevier, vol. 132(C), pages 928-939.
  105. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
  106. Plank, Josef & Doblinger, Claudia, 2018. "The firm-level innovation impact of public R&D funding: Evidence from the German renewable energy sector," Energy Policy, Elsevier, vol. 113(C), pages 430-438.
  107. Mezher, Toufic & Dawelbait, Gihan & Abbas, Zeina, 2012. "Renewable energy policy options for Abu Dhabi: Drivers and barriers," Energy Policy, Elsevier, vol. 42(C), pages 315-328.
  108. Wang, Qiang & Chen, Xi & Jha, Awadhesh N. & Rogers, Howard, 2014. "Natural gas from shale formation – The evolution, evidences and challenges of shale gas revolution in United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1-28.
  109. Raphael Bointner & Simon Pezzutto & Wolfram Sparber, 2016. "Scenarios of public energy research and development expenditures: financing energy innovation in Europe," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(4), pages 470-488, July.
  110. Amela Ajanovic & Reinhard Haas, 2019. "On the long‐term prospects of power‐to‐gas technologies," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(1), January.
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