Carbon Capture and Sequestration: How Much Does this Uncertain Option Affect Near-Term Policy Choices?
AbstractOne of the main issues in the climate policy agenda, the timing of abatement efforts, hinges on the uncertainties of climate change risks and technological evolution. We use a stochastic optimization framework and jointly explore these two features. First, we embed in the model future potential large-scale availability of Carbon Capture and Storage (CCS) technologies. While non-CCS mitigation that reduces fossil energy use is modelled as exerting inertia on the economic system, mainly due to the durability of the capital in energy systems and to technology lock-in and lock-out phenomena, the implementation of CCS technologies is modelled as implying less resilience of the system to changes in policy directions. Second, climate uncertainty is related in the model to the atmospheric temperature response to an increase in GHGs concentration. Performing different simulation experiments, we find that the environmental target, derived from a cost-benefit analysis, should be more ambitious when CCS is included in the picture. Moreover, the possible future availability of CCS is not a reason to significantly reduce near-term optimal abatement efforts. Finally, the availability of better information on the climate cycle is in general more valuable than better information on the CCS technological option.
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Bibliographic InfoPaper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2005.86.
Date of creation: Jun 2005
Date of revision:
Climate change; Uncertainty; Sequestration; Cost-benefit analysis;
Other versions of this item:
- Laurent Gilotte & Valentina Bosetti, 2006. "Carbon capture and sequestration: how much does this uncertain option affect near-term policy choices?," CIRED Working Papers halshs-00007298, HAL.
- D62 - Microeconomics - - Welfare Economics - - - Externalities
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
- Q29 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Other
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-08-13 (All new papers)
- NEP-ENE-2005-08-13 (Energy Economics)
- NEP-ENV-2005-08-13 (Environmental Economics)
- NEP-PBE-2005-08-13 (Public Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Minh Ha-Duong & Patrice Dumas, 2004. "An abrupt stochastic damage function to analyse climate policy benefits," Post-Print halshs-00002451, HAL.
- Akimoto, Keigo & Tomoda, Toshimasa & Fujii, Yasumasa & Yamaji, Kenji, 2004. "Assessment of global warming mitigation options with integrated assessment model DNE21," Energy Economics, Elsevier, vol. 26(4), pages 635-653, July.
- Riahi, Keywan & Rubin, Edward S. & Taylor, Margaret R. & Schrattenholzer, Leo & Hounshell, David, 2004. "Technological learning for carbon capture and sequestration technologies," Energy Economics, Elsevier, vol. 26(4), pages 539-564, July.
- Jean-Charles Hourcade & Philippe Ambrosi & Stéphane Hallegatte & Franck Lecocq & Patrice Dumas & Minh Ha-Duong, 2003. "Optimal control models and elicitation of attitudes towards climate damages," Post-Print halshs-00000966, HAL.
- Pizer, William A., 2002. "Combining price and quantity controls to mitigate global climate change," Journal of Public Economics, Elsevier, vol. 85(3), pages 409-434, September.
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