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Technological change in energy systems: Learning curves, logistic curves and input-output coefficients

Citations

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Cited by:

  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. Nesta, Lionel & Vona, Francesco & Nicolli, Francesco, 2014. "Environmental policies, competition and innovation in renewable energy," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 396-411.
  3. John Sherwood & Anthony Ditta & Becky Haney & Loren Haarsma & Michael Carbajales-Dale, 2017. "Resource Criticality in Modern Economies: Agent-Based Model Demonstrates Vulnerabilities from Technological Interdependence," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-22, September.
  4. Lecca, Patrizio & McGregor, Peter G. & Swales, Kim J. & Tamba, Marie, 2017. "The Importance of Learning for Achieving the UK's Targets for Offshore Wind," Ecological Economics, Elsevier, vol. 135(C), pages 259-268.
  5. Zhou, Zhongbing & Qin, Quande & Wei, Yi-Ming, 2020. "Government intervention in energy conservation: Justification and warning," Energy Economics, Elsevier, vol. 90(C).
  6. Qian, Yuan & Scherer, Laura & Tukker, Arnold & Behrens, Paul, 2020. "China's potential SO2 emissions from coal by 2050," Energy Policy, Elsevier, vol. 147(C).
  7. Teng, Fei & Zhang, Qi & Chen, Siyuan & Wang, Ge & Huang, Zhenyue & Wang, Lu, 2024. "Comprehensive effects of policy mixes on the diffusion of heavy-duty hydrogen fuel cell electric trucks in China considering technology learning," Energy Policy, Elsevier, vol. 185(C).
  8. Faber, Albert & Valente, Marco & Janssen, Peter, 2010. "Exploring domestic micro-cogeneration in the Netherlands: An agent-based demand model for technology diffusion," Energy Policy, Elsevier, vol. 38(6), pages 2763-2775, June.
  9. Wimmer, Lorenz & Kluge, Jan & Zenz, Hannes & Kimmich, Christian, 2023. "Predicting structural changes of the energy sector in an input–output framework," Energy, Elsevier, vol. 265(C).
  10. 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.
  11. Polzin, Friedemann & Sanders, Mark & Serebriakova, Alexandra, 2021. "Finance in global transition scenarios: Mapping investments by technology into finance needs by source," Energy Economics, Elsevier, vol. 99(C).
  12. Qianyi Du & Haoran Pan & Shuang Liang & Xiaoxue Liu, 2023. "Can Green Credit Policies Accelerate the Realization of the Dual Carbon Goal in China? Examination Based on an Endogenous Financial CGE Model," IJERPH, MDPI, vol. 20(5), pages 1-26, March.
  13. Sascha Samadi, 2016. "A Review of Factors Influencing the Cost Development of Electricity Generation Technologies," Energies, MDPI, vol. 9(11), pages 1-25, November.
  14. 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.
  15. Bennett, Carly & Blanchet, Jocelyn & Trowell, Keena & Bergthorson, Jeffrey, 2023. "Decarbonizing Canada’s energy supply and exports with solar PV and e-fuels," Renewable Energy, Elsevier, vol. 217(C).
  16. 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).
  17. Mirjam Leloux & Saskia Harkema & Florentin Popescu, 2015. "Accelerating The Adoption Process Of Renewable Energy Sources Among Smes," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 247-255, July.
  18. Jaime Nieto & Pedro B. Moyano & Diego Moyano & Luis Javier Miguel, 2023. "Is energy intensity a driver of structural change? Empirical evidence from the global economy," Journal of Industrial Ecology, Yale University, vol. 27(1), pages 283-296, February.
  19. 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.
  20. repec:hal:spmain:info:hdl:2441/f6h8764enu2lskk9p4oq2cqb0 is not listed on IDEAS
  21. David Audretsch & Mark Sanders & Lu Zhang, 2021. "International product life cycles, trade and development stages," The Journal of Technology Transfer, Springer, vol. 46(5), pages 1630-1673, October.
  22. 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.
  23. Berry, Stephen & Davidson, Kathryn, 2015. "Zero energy homes – Are they economically viable?," Energy Policy, Elsevier, vol. 85(C), pages 12-21.
  24. repec:spo:wpmain:info:hdl:2441/f6h8764enu2lskk9p4oq2cqb0 is not listed on IDEAS
  25. Tadeusz Skoczkowski & Sławomir Bielecki & Joanna Wojtyńska, 2019. "Long-Term Projection of Renewable Energy Technology Diffusion," Energies, MDPI, vol. 12(22), pages 1-24, November.
  26. 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.
  27. 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.
  28. Kirsten S. Wiebe, 2016. "The impact of renewable energy diffusion on European consumption-based emissions," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 133-150, June.
  29. Deeney, Peter & Cummins, Mark & Heintz, Katharina & Pryce, Mary T., 2021. "A real options based decision support tool for R&D investment: Application to CO2 recycling technology," European Journal of Operational Research, Elsevier, vol. 289(2), pages 696-711.
  30. Li, Jin & Hu, Shanying, 2017. "History and future of the coal and coal chemical industry in China," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 13-24.
  31. Bergesen, Joseph D. & Suh, Sangwon, 2016. "A framework for technological learning in the supply chain: A case study on CdTe photovoltaics," Applied Energy, Elsevier, vol. 169(C), pages 721-728.
  32. Shuang Liang & Xinyue Lin & Xiaoxue Liu & Haoran Pan, 2022. "The Pathway to China’s Carbon Neutrality Based on an Endogenous Technology CGE Model," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
  33. Oscar Afonso & Ana Catarina Afonso, 2015. "Endogenous Growth Effects of Environmental Policies," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(5), pages 607-629, December.
  34. Mercure, Jean-François, 2012. "FTT:Power : A global model of the power sector with induced technological change and natural resource depletion," Energy Policy, Elsevier, vol. 48(C), pages 799-811.
  35. Polzin, Friedemann & Sanders, Mark, 2020. "How to finance the transition to low-carbon energy in Europe?," Energy Policy, Elsevier, vol. 147(C).
  36. Svensson, Elin & Berntsson, Thore, 2011. "Planning future investments in emerging energy technologies for pulp mills considering different scenarios for their investment cost development," Energy, Elsevier, vol. 36(11), pages 6508-6519.
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