Knowledge Creation between Integrated Assessment Models and Initiative-Based Learning - An Interdisciplinary Approach
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- 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).
References listed on IDEAS
- Witajewski-Baltvilks, Jan & Verdolini, Elena & Tavoni, Massimo, 2015.
"Bending the learning curve,"
Energy Economics, Elsevier, vol. 52(S1), pages 86-99.
- Witajewski-Baltvilks, Jan & Verdolini, Elena & Tavoni, Massimo, 2015. "Bending The Learning Curve," Climate Change and Sustainable Development 206836, Fondazione Eni Enrico Mattei (FEEM).
- Jan Witajewski-Baltvilks & Elena Verdolini & Massimo Tavoni, 2015. "Bending The Learning Curve," Working Papers 2015.65, Fondazione Eni Enrico Mattei.
- 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.
- Bosetti, Valentina & Catenacci, Michela & Fiorese, Giulia & Verdolini, Elena, 2012. "The Future Prospect of PV and CSP Solar Technologies: An Expert Elicitation Survey," Climate Change and Sustainable Development 121699, Fondazione Eni Enrico Mattei (FEEM).
- Valentina Bosetti & Michela Catenacci & Giulia Fiorese & Elena Verdolini, 2012. "The Future Prospect of PV and CSP Solar Technologies: An Expert Elicitation Survey," Working Papers 2012.01, Fondazione Eni Enrico Mattei.
- Habermeier, Karl F., 1990. "Product use and product improvement," Research Policy, Elsevier, vol. 19(3), pages 271-283, June.
- Stoneman, Paul & Battisti, Giuliana, 2010. "The Diffusion of New Technology," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 733-760, Elsevier.
- 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.
- Patrick Criqui & Silvana Mima & Philippe Menanteau & Alban Kitous, 2015. "Mitigation strategies and energy technology learning: an assessment with the POLES model," Post-Print halshs-00999280, HAL.
- Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
- 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.
- Emmerling, Johannes & Drouet, Laurent Drouet & Reis, Lara Aleluia & Bevione, Michela & Berger, Loic & Bosetti, Valentina & Carrara, Samuel & De Cian, Enrica & De Maere D'Aertrycke, Gauthier & Longden,, 2016. "The WITCH 2016 Model - Documentation and Implementation of the Shared Socioeconomic Pathways," MITP: Mitigation, Innovation and Transformation Pathways 240748, Fondazione Eni Enrico Mattei (FEEM).
- Jayati Sarkar, 1998. "Technological Diffusion: Alternative Theories and Historical Evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 12(2), pages 131-176, April.
- Geels, Frank W., 2010. "Ontologies, socio-technical transitions (to sustainability), and the multi-level perspective," Research Policy, Elsevier, vol. 39(4), pages 495-510, May.
- K. J. Arrow, 1971.
"The Economic Implications of Learning by Doing,"
Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149,
Palgrave Macmillan.
- Kenneth J. Arrow, 1962. "The Economic Implications of Learning by Doing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 29(3), pages 155-173.
- Grubler, Arnulf & Nakicenovic, Nebojsa & Victor, David G., 1999. "Dynamics of energy technologies and global change," Energy Policy, Elsevier, vol. 27(5), pages 247-280, May.
- Ruben Bibas & Aurélie Méjean, 2012.
"Potential and limitations of bioenergy options for low carbon transitions,"
CIRED Working Papers
hal-00866407, HAL.
- Ruben Bibas & Aurélie Méjean, 2012. "Potential and limitations of bioenergy options for low carbon transitions," Working Papers hal-00866407, HAL.
- repec:bla:jecsur:v:12:y:1998:i:2:p:131-76 is not listed on IDEAS
- M. Hodson & S. Marvin, 2007. "Cities Mediating Technological Transitions: The Adaptability of Infrastructure and Infrastructures of Adaptability?," Chapters, in: H. S. Geyer (ed.), International Handbook of Urban Policy, Volume 1, chapter 14, Edward Elgar Publishing.
- Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
- Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
- 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.
- 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.
- 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.
- Arnaud de La Tour & Matthieu Glachant & Yann Ménière, 2013. "Predicting the costs of photovoltaic solar modules in 2020 using experience curve models," Post-Print hal-01522961, HAL.
- Dedehayir, Ozgur & Steinert, Martin, 2016. "The hype cycle model: A review and future directions," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 28-41.
- Sagar, Ambuj D. & van der Zwaan, Bob, 2006. "Technological innovation in the energy sector: R&D, deployment, and learning-by-doing," Energy Policy, Elsevier, vol. 34(17), pages 2601-2608, November.
- Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
- William D. Nordhaus, 2014.
"The Perils of the Learning Model for Modeling Endogenous Technological Change,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
- William D. Nordhaus, 2009. "The Perils of the Learning Model For Modeling Endogenous Technological Change," NBER Working Papers 14638, National Bureau of Economic Research, Inc.
- William D. Nordhaus, 2009. "The Perils of the Learning Model For Modeling Endogenous Technological Change," Cowles Foundation Discussion Papers 1685, Cowles Foundation for Research in Economics, Yale University.
- 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.
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More about this item
Keywords
Social Learning; Innovation Diffusion; Technology Adoption; Integrated Assessment; Case Study; Transition Research; Initiative-based Learning; Solar PV Learning Curves;All these keywords.
JEL classification:
- O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation
- Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2016-12-04 (Energy Economics)
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