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Technical change dynamics: evidence from the emerging renewable energy technologies

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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. Lehmann, Paul, 2013. "Supplementing an emissions tax by a feed-in tariff for renewable electricity to address learning spillovers," Energy Policy, Elsevier, vol. 61(C), pages 635-641.
  3. Libo Zhang & Qian Du & Dequn Zhou, 2021. "Grid Parity Analysis of China’s Centralized Photovoltaic Generation under Multiple Uncertainties," Energies, MDPI, vol. 14(7), pages 1-19, March.
  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. Ek, Kristina & Söderholm, Patrik, 2010. "Technology learning in the presence of public R&D: The case of European wind power," Ecological Economics, Elsevier, vol. 69(12), pages 2356-2362, October.
  6. Sue Wing, Ian, 2006. "Representing induced technological change in models for climate policy analysis," Energy Economics, Elsevier, vol. 28(5-6), pages 539-562, November.
  7. Bleischwitz, Raimund & Bader, Nikolas, 2010. "Policies for the transition towards a hydrogen economy: the EU case," Energy Policy, Elsevier, vol. 38(10), pages 5388-5398, October.
  8. Arnaud de La Tour & Matthieu Glachant & Yann Ménière, 2013. "What cost for photovoltaic modules in 2020? Lessons from experience curve models," Working Papers hal-00805668, HAL.
  9. Heuberger, Clara F. & Rubin, Edward S. & Staffell, Iain & Shah, Nilay & Mac Dowell, Niall, 2017. "Power capacity expansion planning considering endogenous technology cost learning," Applied Energy, Elsevier, vol. 204(C), pages 831-845.
  10. Schauf, Magnus & Schwenen, Sebastian, 2021. "Mills of progress grind slowly? Estimating learning rates for onshore wind energy," Energy Economics, Elsevier, vol. 104(C).
  11. Wei, Yi-Ming & Qiao, Lu & Lv, Xin, 2020. "The impact of mergers and acquisitions on technology learning in the petroleum industry," Energy Economics, Elsevier, vol. 88(C).
  12. Javier Aliaga Lordemann & Alejandro Herrerra Jiménez, 2014. "Energy-Mix Scenarios for Bolivia," Documentos de trabajo 8/2014, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
  13. Rai, Varun & Victor, David G. & Thurber, Mark C., 2010. "Carbon capture and storage at scale: Lessons from the growth of analogous energy technologies," Energy Policy, Elsevier, vol. 38(8), pages 4089-4098, August.
  14. 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.
  15. Gunther Glenk & Rebecca Meier & Stefan Reichelstein, 2021. "Cost Dynamics of Clean Energy Technologies," Schmalenbach Journal of Business Research, Springer, vol. 73(2), pages 179-206, June.
  16. 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.
  17. AZOMAHOU, Théophile & BOUCEKKINE, Raouf & NGUYEN-VAN, Phu, 2009. "Promoting clean technologies under imperfect competition," LIDAM Discussion Papers CORE 2009011, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  18. 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.
  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. 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).
  23. Ackah, Ishmael & Kizys, Renatas, 2015. "Green growth in oil producing African countries: A panel data analysis of renewable energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1157-1166.
  24. 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.
  25. Macauley, Molly & Shih, Jhih-Shyang, 2003. "Effects of Carbon Policies and Technology Change," RFF Working Paper Series dp-03-14, Resources for the Future.
  26. Maharjan, Prapti & Hauck, Mara & Kirkels, Arjan & Buettner, Benjamin & de Coninck, Heleen, 2024. "Deriving experience curves: A structured and critical approach applied to PV sector," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  27. 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).
  28. 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.
  29. Harijan, Khanji & Uqaili, Mohammad A. & Memon, Mujeebuddin & Mirza, Umar K., 2011. "Forecasting the diffusion of wind power in Pakistan," Energy, Elsevier, vol. 36(10), pages 6068-6073.
  30. Javier Aliaga Lordemann & Alejandro Herrera Jiménez, 2014. "Escenarios de la matriz energética para Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB), issue 22, pages 135-160.
  31. Lehmann, Paul, 2009. "Climate policies with pollution externalities and learning spillovers," UFZ Discussion Papers 10/2009, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
  32. Glenk, Gunther & Meier, Rebecca & Reichelstein, Stefan, 2021. "Cost dynamics of clean energy technologies," ZEW Discussion Papers 21-054, ZEW - Leibniz Centre for European Economic Research.
  33. 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.
  34. 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.
  35. Thomas Eichner & Rüdiger Pethig, 2015. "Efficient Management of Insecure Fossil Fuel Imports through Taxing Domestic Green Energy?," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 17(5), pages 724-751, October.
  36. Reyer Gerlagh & Snorre Kverndokk & Knut Einar Rosendahl, 2007. "Optimal Timing of Environmental Policy. Interaction between Environmental Taxes and Innovation Externalities," Discussion Papers 493, Statistics Norway, Research Department.
  37. Womeldorf, Carole A. & Chimeli, Ariaster B., 2014. "A computational fluid dynamics approach to wind prospecting: Lessons from the U.S. Appalachian region," Energy Policy, Elsevier, vol. 73(C), pages 645-653.
  38. 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.
  39. Michael L. Polemis & Achilleas Spais, 2020. "Disentangling the drivers of renewable energy investments: The role of behavioral factors," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2170-2180, September.
  40. Masini, Andrea & Menichetti, Emanuela, 2013. "Investment decisions in the renewable energy sector: An analysis of non-financial drivers," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 510-524.
  41. Leo Wangler, 2012. "The political economy of the green technology sector: A study about institutions, diffusion and efficiency," European Journal of Law and Economics, Springer, vol. 33(1), pages 51-81, February.
  42. Choi, Donghyun & Kim, Yeong Jae, 2023. "Local and global experience curves for lumpy and granular energy technologies," Energy Policy, Elsevier, vol. 174(C).
  43. 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.
  44. 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.
  45. Huang, Weilong & Chen, Wenying & Anandarajah, Gabrial, 2017. "The role of technology diffusion in a decarbonizing world to limit global warming to well below 2 °C: An assessment with application of Global TIMES model," Applied Energy, Elsevier, vol. 208(C), pages 291-301.
  46. 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.
  47. 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.
  48. Jenniches, Simon, 2018. "Assessing the regional economic impacts of renewable energy sources – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 35-51.
  49. Modhurima Dey Amin & Syed Badruddoza & Jill J. McCluskey, 2021. "Does conventional energy pricing induce innovation in renewable energy? New evidence from a nonlinear approach," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(2), pages 659-679, June.
  50. Paul Lehmann & Felix Creutzig & Melf-Hinrich Ehlers & Nele Friedrichsen & Clemens Heuson & Lion Hirth & Robert Pietzcker, 2012. "Carbon Lock-Out: Advancing Renewable Energy Policy in Europe," Energies, MDPI, vol. 5(2), pages 1-32, February.
  51. Bläsi, Albrecht & Requate, Till, 2005. "Learning-by-Doing with Spillovers in Competitive Industries, Free Entry, and Regulatory Policy," Economics Working Papers 2005-09, Christian-Albrechts-University of Kiel, Department of Economics.
  52. Stephens, Jennie C. & Jiusto, Scott, 2010. "Assessing innovation in emerging energy technologies: Socio-technical dynamics of carbon capture and storage (CCS) and enhanced geothermal systems (EGS) in the USA," Energy Policy, Elsevier, vol. 38(4), pages 2020-2031, April.
  53. 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.
  54. 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.
  55. Bello, S. & Reiner, 2024. "Experience Curves for Electrolysis Technologies," Cambridge Working Papers in Economics 2476, Faculty of Economics, University of Cambridge.
  56. 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.
  57. Huh, Sung-Yoon & Lee, Chul-Yong, 2014. "Diffusion of renewable energy technologies in South Korea on incorporating their competitive interrelationships," Energy Policy, Elsevier, vol. 69(C), pages 248-257.
  58. 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.
  59. Lundmark, Robert, 2008. "Empirical specification of cost reductions associated with accumulated knowledge in the Swedish kraft paper industry," Forest Policy and Economics, Elsevier, vol. 10(7-8), pages 460-466, October.
  60. Austin, David & Macauley, Molly & Darmstadter, Joel & Shih, Jhih-Shyang & Aronow, Emily & Bath, Tom, 2002. "Measuring the Contribution to the Economy of Investments in Renewable Energy: Estimates of Future Consumer Gains," RFF Working Paper Series dp-02-05-, Resources for the Future.
  61. Scott, William A., 2025. "Cost and carbon-intensity reducing innovation in biofuels for road transportation," Energy Policy, Elsevier, vol. 197(C).
  62. Iyer, Gokul & Hultman, Nathan & Eom, Jiyong & McJeon, Haewon & Patel, Pralit & Clarke, Leon, 2015. "Diffusion of low-carbon technologies and the feasibility of long-term climate targets," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 103-118.
  63. Patrik Söderholm & Ger Klaassen, 2007. "Wind Power in Europe: A Simultaneous Innovation–Diffusion Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(2), pages 163-190, February.
  64. Rout, Ullash K. & Fahl, Ulrich & Remme, Uwe & Blesl, Markus & Voß, Alfred, 2009. "Endogenous implementation of technology gap in energy optimization models--a systematic analysis within TIMES G5 model," Energy Policy, Elsevier, vol. 37(7), pages 2814-2830, July.
  65. 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.
  66. 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.
  67. Louis Coulomb & Karsten Neuhoff, 2006. "Learning Curves and Changing Product Attributes: the Case of Wind Turbines," Working Papers EPRG 0601, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  68. Purohit, Pallav & Kandpal, Tara C., 2005. "Renewable energy technologies for irrigation water pumping in India: projected levels of dissemination, energy delivery and investment requirements using available diffusion models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(6), pages 592-607, December.
  69. Maza, Adolfo & Hierro, María & Villaverde, José, 2010. "Renewable electricity consumption in the EU-27: Are cross-country differences diminishing?," Renewable Energy, Elsevier, vol. 35(9), pages 2094-2101.
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  74. 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.
  75. Collins, Ross D. & Crowther, Kenneth G., 2011. "Systems-based modeling of generation variability under alternate geographic configurations of photovoltaic (PV) installations in Virginia," Energy Policy, Elsevier, vol. 39(10), pages 6262-6270, October.
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