Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry’s Low Carbon Future
Author
Suggested Citation
Note: EEE
Download full text from publisher
References listed on IDEAS
- Popp, David & Santen, Nidhi & Fisher-Vanden, Karen & Webster, Mort, 2013.
"Technology variation vs. R&D uncertainty: What matters most for energy patent success?,"
Resource and Energy Economics, Elsevier, vol. 35(4), pages 505-533.
- David Popp & Nidhi Santen & Karen Fisher-Vanden & Mort Webster, 2012. "Technology Variation vs. R&D Uncertainty: What Matters Most for Energy Patent Success?," NBER Working Papers 17792, National Bureau of Economic Research, Inc.
- Ibenholt, Karin, 2002. "Explaining learning curves for wind power," Energy Policy, Elsevier, vol. 30(13), pages 1181-1189, October.
- Popp, David & Newell, Richard G. & Jaffe, Adam B., 2010.
"Energy, the Environment, and Technological Change,"
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 873-937,
Elsevier.
- David Popp & Richard G. Newell & Adam B. Jaffe, 2009. "Energy, the Environment, and Technological Change," NBER Working Papers 14832, National Bureau of Economic Research, Inc.
- Miketa, Asami & Schrattenholzer, Leo, 2004. "Experiments with a methodology to model the role of R&D expenditures in energy technology learning processes; first results," Energy Policy, Elsevier, vol. 32(15), pages 1679-1692, October.
- 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.
- Socrates Kypreos & Leonardo Barreto & Pantelis Capros & Sabine Messner, 2000. "ERIS: A model prototype with endogenous technological change," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 347-397.
- 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.
- Hobbs, Benjamin F., 1995. "Optimization methods for electric utility resource planning," European Journal of Operational Research, Elsevier, vol. 83(1), pages 1-20, May.
- 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.
- Popp, David, 2004. "ENTICE: endogenous technological change in the DICE model of global warming," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 742-768, July.
- Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
- Pugh, Graham & Clarke, Leon & Marlay, Robert & Kyle, Page & Wise, Marshall & McJeon, Haewon & Chan, Gabriel, 2011. "Energy R&D portfolio analysis based on climate change mitigation," Energy Economics, Elsevier, vol. 33(4), pages 634-643, July.
- Sabine Messner, 1997. "Endogenized technological learning in an energy systems model," Journal of Evolutionary Economics, Springer, vol. 7(3), pages 291-313.
- Rubin, Edward S & Taylor, Margaret R & Yeh, Sonia & Hounshell, David A, 2004. "Learning curves for environmental technology and their importance for climate policy analysis," Energy, Elsevier, vol. 29(9), pages 1551-1559.
- van der Zwaan, B. C. C. & Gerlagh, R. & G. & Klaassen & Schrattenholzer, L., 2002. "Endogenous technological change in climate change modelling," Energy Economics, Elsevier, vol. 24(1), pages 1-19, January.
- Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
- 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.
- David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
- Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
- Goulder, Lawrence H. & Mathai, Koshy, 2000. "Optimal CO2 Abatement in the Presence of Induced Technological Change," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 1-38, January.
- Goulder, Lawrence H. & Schneider, Stephen H., 1999. "Induced technological change and the attractiveness of CO2 abatement policies," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 211-253, August.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Wang, Han & Chen, Zhoupeng & Wu, Xingyi & Nie, Xin, 2019. "Can a carbon trading system promote the transformation of a low-carbon economy under the framework of the porter hypothesis? —Empirical analysis based on the PSM-DID method," Energy Policy, Elsevier, vol. 129(C), pages 930-938.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Nidhi R. Santen & Mort D. Webster & David Popp & Ignacio Pérez-Arriaga, 2014. "Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry's Low Carbon Future," CESifo Working Paper Series 5139, CESifo.
- Nidhi R. Santen & Mort D. Webster & David Popp & Ignacio Pérez-Arriaga, 2017. "Inter-temporal R&D and capital investment portfolios for the electricity industrys low carbon future," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
- 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.
- 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.
- Mort D. Webster & Karen Fisher-Vanden & David Popp & Nidhi R. Santen, 2015. "Should We Give Up After Solyndra? Optimal Technology R&D Portfolios under Uncertainty," CESifo Working Paper Series 5448, CESifo.
- Mort Webster & Karen Fisher-Vanden & David Popp & Nidhi Santen, 2015. "Should We Give Up After Solyndra? Optimal Technology R&D Portfolios under Uncertainty," NBER Working Papers 21396, National Bureau of Economic Research, Inc.
- Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
- 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.
- Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
- 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.
- Kalkuhl, Matthias & Edenhofer, Ottmar & Lessmann, Kai, 2012.
"Learning or lock-in: Optimal technology policies to support mitigation,"
Resource and Energy Economics, Elsevier, vol. 34(1), pages 1-23.
- Matthias Kalkuhl & Ottmar Edenhofer & Kai Lessmann, 2011. "Learning or Lock-in: Optimal Technology Policies to Support Mitigation," CESifo Working Paper Series 3422, CESifo.
- Gerlagh, Reyer, 2008. "A climate-change policy induced shift from innovations in carbon-energy production to carbon-energy savings," Energy Economics, Elsevier, vol. 30(2), pages 425-448, March.
- 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.
- Gillingham, Kenneth T. & Newell, Richard G. & Pizer, William A., 2007. "Modeling Endogenous Technological Change for Climate Policy Analysis," RFF Working Paper Series dp-07-14, Resources for the Future.
- Shiell, Leslie & Lyssenko, Nikita, 2014.
"Climate policy and induced R&D: How great is the effect?,"
Energy Economics, Elsevier, vol. 46(C), pages 279-294.
- Leslie SHIELL & Nikita LYSSENKO, 2009. "Climate Policy and Induced R&D: How Great is the Effect?," EcoMod2009 21500084, EcoMod.
- Nikita Lyssenko & Leslie Shiell, 2014. "Climate Policy and Induced R&D: How Great is the Effect?," Working Papers E1405E, University of Ottawa, Department of Economics.
- Popp, David & Newell, Richard G. & Jaffe, Adam B., 2010.
"Energy, the Environment, and Technological Change,"
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 873-937,
Elsevier.
- David Popp & Richard G. Newell & Adam B. Jaffe, 2009. "Energy, the Environment, and Technological Change," NBER Working Papers 14832, National Bureau of Economic Research, Inc.
- Acemoglu, Daron & Rafey, Will, 2023.
"Mirage on the horizon: Geoengineering and carbon taxation without commitment,"
Journal of Public Economics, Elsevier, vol. 219(C).
- Daron Acemoglu & Will Rafey, 2018. "Mirage on the Horizon: Geoengineering and Carbon Taxation Without Commitment," NBER Working Papers 24411, National Bureau of Economic Research, Inc.
- Enrica Cian & Valentina Bosetti & Massimo Tavoni, 2012. "Technology innovation and diffusion in “less than ideal” climate policies: An assessment with the WITCH model," Climatic Change, Springer, vol. 114(1), pages 121-143, September.
- Santen, Nidhi R. & Anadon, Laura Diaz, 2016. "Balancing solar PV deployment and RD&D: A comprehensive framework for managing innovation uncertainty in electricity technology investment planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 560-569.
- Carraro, Carlo & De Cian, Enrica & Nicita, Lea & Massetti, Emanuele & Verdolini, Elena, 2010. "Environmental Policy and Technical Change: A Survey," International Review of Environmental and Resource Economics, now publishers, vol. 4(2), pages 163-219, October.
- Popp, David, 2006. "ENTICE-BR: The effects of backstop technology R&D on climate policy models," Energy Economics, Elsevier, vol. 28(2), pages 188-222, March.
- Castrejon-Campos, Omar & Aye, Lu & Hui, Felix Kin Peng, 2022. "Effects of learning curve models on onshore wind and solar PV cost developments in the USA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
- Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016.
"Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry,"
Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
- Aghion, Philippe & Dechezlepretre, Antoine & Hemous, David & Martin, Ralf & Van Reenen, John, 2012. "Carbon taxes, path dependency and directed technical change: evidence from the auto industry," LSE Research Online Documents on Economics 48936, London School of Economics and Political Science, LSE Library.
- Aghion, Philippe & Dechezlepretre, Antoine & Hemous, David & Martin, Ralf & Van Reenen, John, 2012. "Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry," Climate Change and Sustainable Development 143129, Fondazione Eni Enrico Mattei (FEEM).
- Philippe Aghion & Antoine Dechezleprêtre & David Hemous & Ralf Martin & John Van Reenen, 2012. "Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry," NBER Working Papers 18596, National Bureau of Economic Research, Inc.
- Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," PSE-Ecole d'économie de Paris (Postprint) halshs-01496920, HAL.
- Aghion, Philippe & Dechezlepretre, Antoine & Hemous, David & Martin, Ralf & Van Reenen, John, 2016. "Carbon taxes, path dependency and directed technical change: evidence from the auto industry," LSE Research Online Documents on Economics 62722, London School of Economics and Political Science, LSE Library.
- Aghion, Philippe & Van Reenen, John & Martin, Ralf & Hémous, David & Dechezleprêtre, Antoine, 2012. "Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry," CEPR Discussion Papers 9267, C.E.P.R. Discussion Papers.
- Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Post-Print halshs-01496920, HAL.
- Philippe Aghion & Antoine Dechezleprêtre & David Hemous & Ralf Martin & John Van Reenen, 2012. "Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry," CEP Discussion Papers dp1178, Centre for Economic Performance, LSE.
- Aghion, Philippe & Dechezleprêtre, Antoine & Hemous, David & Martin, Ralf & Van Reenen, John, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Scholarly Articles 27759048, Harvard University Department of Economics.
- Philippe Aghion & Antoine Dechezleprêtre & David Hemous & Ralf Martin & John Van Reenen, 2012. "Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry," Working Papers 2012.99, Fondazione Eni Enrico Mattei.
- Philippe Aghion & Antoine Dechezlepr�tre & David Hemous & Ralf Martin & John Van Reenen, 2012. "Carbon Taxes, Path Dependency and Directed Technical Change: Evidence from the Auto Industry," GRI Working Papers 102, Grantham Research Institute on Climate Change and the Environment.
More about this item
JEL classification:
- Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
- Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
- Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2015-01-19 (Energy Economics)
- NEP-ENV-2015-01-19 (Environmental Economics)
- NEP-INO-2015-01-19 (Innovation)
- NEP-REG-2015-01-19 (Regulation)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:20783. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.