HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Optimal control models and elicitation of attitudes towards climate damages

Abstract : This paper examines the consequences of various attitudes towards climate damages through a family of stochastic optimal control models (RESPONSE): cost-efficiency for a given temperature ceiling; cost-benefit analysis with a "pure preference for current climate regime" and full cost-benefit analysis. The choice of a given proxy of climate change risks is actually more than a technical option. It is essentially motivated by the degree of distrust regarding the legitimacy of an assessment of climate damages and the possibility of providing in due time reliable and non controversial estimates. Our results demonstrate that a) for early decades abatement, the difference between various decision-making frameworks appears to matter less than the difference between stochastic and non stochastic approach given the cascade of uncertainty from emissions to damages; b) in a stochastic approach, the possibility of non-catastrophic singularities in the damage function is sufficient to significantly increase earlier optimal abatements; c) a window of opportunity for action exists up to 2040: abatements further delayed may induce significant regret in case of bad news about climate response or singularities in damages.
Document type :
Journal articles
Complete list of metadata

Cited literature [27 references]  Display  Hide  Download

Contributor : Sandrine Bodeau Connect in order to contact the contributor
Submitted on : Thursday, December 18, 2003 - 3:03:28 PM
Last modification on : Friday, October 8, 2021 - 4:26:01 PM
Long-term archiving on: : Monday, March 29, 2010 - 5:15:03 PM




Jean Charles Hourcade, Philippe Ambrosi, Stéphane Hallegatte, Franck Lecocq, Patrice Dumas, et al.. Optimal control models and elicitation of attitudes towards climate damages. Environmental Modeling & Assessment, Springer, 2003, 8 (3), pp.133-147. ⟨10.1023/A:1025586922143⟩. ⟨halshs-00000966⟩



Record views


Files downloads