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Modeling uncertainty of induced technological change

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  1. Wand, Robert & Leuthold, Florian, 2011. "Feed-in tariffs for photovoltaics: Learning by doing in Germany?," Applied Energy, Elsevier, vol. 88(12), pages 4387-4399.
  2. Giacomo Marangoni & Gauthier De Maere & Valentina Bosetti, 2017. "Optimal Clean Energy R&D Investments Under Uncertainty," MITP: Mitigation, Innovation and Transformation Pathways 256056, Fondazione Eni Enrico Mattei (FEEM).
  3. Malte Schwoon, 2006. "Learning-by-doing, Learning Spillovers and the Diffusion of Fuel Cell Vehicles," Working Papers FNU-112, Research unit Sustainability and Global Change, Hamburg University, revised Jun 2006.
  4. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
  5. 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.
  6. Michael Grubb & Jean-Francois Mercure & Pablo Salas & Rutger-Jan Lange & Ida Sognnaes, 2018. "Systems Innovation, Inertia and Pliability: A mathematical exploration with implications for climate change abatement," Working Papers EPRG 1808, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
  7. Claire Nicolas & Stéphane Tchung-Ming & Emmanuel Hache, 2016. "Energy transition in transportation under cost uncertainty, an assessment based on robust optimization," Working Papers hal-02475943, HAL.
  8. Parkinson, Simon C. & Djilali, Ned, 2015. "Long-term energy planning with uncertain environmental performance metrics," Applied Energy, Elsevier, vol. 147(C), pages 402-412.
  9. Moglianesi, Andrea & Keppo, Ilkka & Lerede, Daniele & Savoldi, Laura, 2023. "Role of technology learning in the decarbonization of the iron and steel sector: An energy system approach using a global-scale optimization model," Energy, Elsevier, vol. 274(C).
  10. Aurélie Méjean & Franck Lecocq & Yacob Mulugetta, 2015. "Equity, burden sharing and development pathways: reframing international climate negotiations," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 15(4), pages 387-402, November.
  11. McJeon, Haewon C. & Clarke, Leon & Kyle, Page & Wise, Marshall & Hackbarth, Andrew & Bryant, Benjamin P. & Lempert, Robert J., 2011. "Technology interactions among low-carbon energy technologies: What can we learn from a large number of scenarios?," Energy Economics, Elsevier, vol. 33(4), pages 619-631, July.
  12. Jean Charles Hourcade & Franck Lecocq, 2003. "Le taux d'actualisation contre le principe de précaution ? Leçons à partir du cas des politiques climatiques," CIRED Working Papers halshs-00000967, HAL.
  13. 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.
  14. Charlie Wilson:, 2010. "Growth dynamics of energy technologies: using historical patterns to validate low carbon scenarios," GRI Working Papers 32, Grantham Research Institute on Climate Change and the Environment.
  15. Draeger, Rebecca & Cunha, Bruno S.L. & Müller-Casseres, Eduardo & Rochedo, Pedro R.R. & Szklo, Alexandre & Schaeffer, Roberto, 2022. "Stranded crude oil resources and just transition: Why do crude oil quality, climate ambitions and land-use emissions matter," Energy, Elsevier, vol. 255(C).
  16. Grubler, Arnulf, 2010. "The costs of the French nuclear scale-up: A case of negative learning by doing," Energy Policy, Elsevier, vol. 38(9), pages 5174-5188, September.
  17. Zeyringer, Marianne & Fais, Birgit & Keppo, Ilkka & Price, James, 2018. "The potential of marine energy technologies in the UK – Evaluation from a systems perspective," Renewable Energy, Elsevier, vol. 115(C), pages 1281-1293.
  18. Brian C. O'Neill & Paul Crutzen & Arnulf Gr�bler & Minh Ha Duong & Klaus Keller & Charles Kolstad & Jonathan Koomey & Andreas Lange & Michael Obersteiner & Michael Oppenheimer & William Pepper & Warre, 2006. "Learning and climate change," Climate Policy, Taylor & Francis Journals, vol. 6(5), pages 585-589, September.
    • Brian C. O'Neill & Paul Crutzen & Arnulf Grübler & Minh Ha-Duong & Klaus Keller & Charles Kolstad & Jonathan Koomey & Andreas Lange & Michael Obersteiner & Michael Oppenheimer & William Pepper & Warre, 2006. "Learning and climate change," Post-Print halshs-00134718, HAL.
  19. 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.
  20. Kriegler, Elmar & Riahi, Keywan & Bauer, Nico & Schwanitz, Valeria Jana & Petermann, Nils & Bosetti, Valentina & Marcucci, Adriana & Otto, Sander & Paroussos, Leonidas & Rao-Skirbekk, Shilpa & Currás,, 2015. "A short note on integrated assessment modeling approaches: Rejoinder to the review of “Making or breaking climate targets — The AMPERE study on staged accession scenarios for climate policy”," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 273-276.
  21. 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.
  22. Krukanont, Pongsak & Tezuka, Tetsuo, 2007. "Implications of capacity expansion under uncertainty and value of information: The near-term energy planning of Japan," Energy, Elsevier, vol. 32(10), pages 1809-1824.
  23. Graham, Paul W. & Williams, David J., 2003. "Optimal technological choices in meeting Australian energy policy goals," Energy Economics, Elsevier, vol. 25(6), pages 691-712, November.
  24. 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.
  25. Clarke, Leon & Weyant, John & Edmonds, Jae, 2008. "On the sources of technological change: What do the models assume," Energy Economics, Elsevier, vol. 30(2), pages 409-424, March.
  26. Tatiana Ermolieva & Petr Havlik & Yuri Ermoliev & Nikolay Khabarov & Michael Obersteiner, 2021. "Robust Management of Systemic Risks and Food-Water-Energy-Environmental Security: Two-Stage Strategic-Adaptive GLOBIOM Model," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
  27. 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.
  28. 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.
  29. Sandrine Mathy & Patrick Criqui & Katharina Knoop & Manfred Fischedick & Sascha Samadi, 2016. "Uncertainty management and the dynamic adjustment of deep decarbonization pathways," Climate Policy, Taylor & Francis Journals, vol. 16(sup1), pages 47-62, June.
  30. Matthias Ruth, 2003. "Modeling Infrastructure Vulnerabilities and Adaptation to Climate Change in Urban Systems: Methodology and Application to Metropolitan Boston," ERSA conference papers ersa03p400, European Regional Science Association.
  31. Dong, Cong & Huang, Guohe & Cai, Yanpeng & Li, Wei & Cheng, Guanhui, 2014. "Fuzzy interval programming for energy and environmental systems management under constraint-violation and energy-substitution effects: A case study for the City of Beijing," Energy Economics, Elsevier, vol. 46(C), pages 375-394.
  32. 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.
  33. Loschel, Andreas, 2002. "Technological change in economic models of environmental policy: a survey," Ecological Economics, Elsevier, vol. 43(2-3), pages 105-126, December.
  34. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
  35. Szabó, Sándor & Jäger-Waldau, Arnulf & Szabó, László, 2010. "Risk adjusted financial costs of photovoltaics," Energy Policy, Elsevier, vol. 38(7), pages 3807-3819, July.
  36. Pablo Salas, 2013. "Literature Review of Energy-Economics Models, Regarding Technological Change and Uncertainty," 4CMR Working Paper Series 003, University of Cambridge, Department of Land Economy, Cambridge Centre for Climate Change Mitigation Research.
  37. Tieju Ma, 2010. "Coping with Uncertainties in Technological Learning," Management Science, INFORMS, vol. 56(1), pages 192-201, January.
  38. 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.
  39. Ekundayo Shittu & Geoffrey Parker & Xiaoyue Jiang, 2015. "Energy technology investments in competitive and regulatory environments," Environment Systems and Decisions, Springer, vol. 35(4), pages 453-471, December.
  40. Farrell, Alexander E. & Keith, David W. & Corbett, James J., 2003. "A strategy for introducing hydrogen into transportation," Energy Policy, Elsevier, vol. 31(13), pages 1357-1367, October.
  41. Agnolucci, Paolo & Ekins, Paul & Iacopini, Giorgia & Anderson, Kevin & Bows, Alice & Mander, Sarah & Shackley, Simon, 2009. "Different scenarios for achieving radical reduction in carbon emissions: A decomposition analysis," Ecological Economics, Elsevier, vol. 68(6), pages 1652-1666, April.
  42. Peter Lopion & Peter Markewitz & Detlef Stolten & Martin Robinius, 2019. "Cost Uncertainties in Energy System Optimization Models: A Quadratic Programming Approach for Avoiding Penny Switching Effects," Energies, MDPI, vol. 12(20), pages 1-12, October.
  43. Mort Webster & Karen Fisher-Vanden & David Popp & Nidhi Santen, 2017. "Should We Give Up after Solyndra? Optimal Technology R&D Portfolios under Uncertainty," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(S1), pages 123-151.
  44. Ding, Suiting & Zhang, Ming & Song, Yan, 2019. "Exploring China's carbon emissions peak for different carbon tax scenarios," Energy Policy, Elsevier, vol. 129(C), pages 1245-1252.
  45. Nemet, Gregory F., 2009. "Interim monitoring of cost dynamics for publicly supported energy technologies," Energy Policy, Elsevier, vol. 37(3), pages 825-835, March.
  46. 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.
  47. Wang, K.-J. & Wang, S.-M. & Chen, J.-C., 2008. "A resource portfolio planning model using sampling-based stochastic programming and genetic algorithm," European Journal of Operational Research, Elsevier, vol. 184(1), pages 327-340, January.
  48. 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.
  49. Emilio L. Cano & Javier M. Moguerza & Tatiana Ermolieva & Yurii Yermoliev, 2017. "A strategic decision support system framework for energy-efficient technology investments," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 249-270, July.
  50. Valentina Bosetti & Laurent Gilotte, 2005. "Carbon Capture and Sequestration: How Much Does this Uncertain Option Affect Near-Term Policy Choices?," Working Papers 2005.86, Fondazione Eni Enrico Mattei.
  51. Ma, Tieju & Nakamori, Yoshiteru, 2009. "Modeling technological change in energy systems – From optimization to agent-based modeling," Energy, Elsevier, vol. 34(7), pages 873-879.
  52. Nagase, Yoko & Uehara, Takuro, 2011. "Evolution of population-resource dynamics models," Ecological Economics, Elsevier, vol. 72(C), pages 9-17.
  53. Clarke, Leon & Weyant, John & Birky, Alicia, 2006. "On the sources of technological change: Assessing the evidence," Energy Economics, Elsevier, vol. 28(5-6), pages 579-595, November.
  54. 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.
  55. Kemp-Benedict, Eric, 2014. "Shifting to a Green Economy: Lock-in, Path Dependence, and Policy Options," MPRA Paper 60175, University Library of Munich, Germany.
  56. Kemp-Benedict, Eric, 2017. "Biased technological change and Kaldor’s stylized facts," MPRA Paper 76803, University Library of Munich, Germany.
  57. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
  58. Grubb, Michael, 2001. "Who's afraid of atmospheric stabilisation? Making the link between energy resources and climate change," Energy Policy, Elsevier, vol. 29(11), pages 837-845, September.
  59. Emilio Cano & Javier Moguerza & Tatiana Ermolieva & Yuri Ermoliev, 2014. "Energy efficiency and risk management in public buildings: strategic model for robust planning," Computational Management Science, Springer, vol. 11(1), pages 25-44, January.
  60. Wilson, Charlie, 2010. "Growth dynamics of energy technologies: using historical patterns to validate low carbon scenarios," LSE Research Online Documents on Economics 37602, London School of Economics and Political Science, LSE Library.
  61. 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.
  62. Hunter, Kevin & Sreepathi, Sarat & DeCarolis, Joseph F., 2013. "Modeling for insight using Tools for Energy Model Optimization and Analysis (Temoa)," Energy Economics, Elsevier, vol. 40(C), pages 339-349.
  63. Takanobu Kosugi, 2010. "Assessments of ‘Greenhouse Insurance’: A Methodological Review," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 17(4), pages 345-363, December.
  64. Malte Schwoon, 2006. "A Tool to Optimize the Initial Distribution of Hydrogen Filling Stations," Working Papers FNU-110, Research unit Sustainability and Global Change, Hamburg University, revised Jun 2006.
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