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Title:Adapting and mitigating to climate change: Balancing the choice under uncertainty PDF Logo
Authors:Bosello, Francesco
Chen, Chen
Issue Date:2010
Series/Report no.:Nota di lavoro // Fondazione Eni Enrico Mattei: Sustainable development 159.2010
Abstract:Nowadays, as stressed by important strategic documents like for instance the 2009 EU White Paper on Adaptation or the recent 2009 Copenhagen Accord, it is amply recognized that both mitigation and adaptation strategies are necessary to combat climate change. This paper enriches the rapidly expanding literature trying to devise normative indications on the optimal combination of the two introducing the role of catastrophic and spatial uncertainty related to climate change damages. Applying a modified version of the Nordhaus' Regional Dynamic Integrated Model of Climate and the Economy it is shown that in both cases uncertainty works in the direction to make mitigation a more attractive strategy than adaptation. When catastrophic uncertainty is concerned mitigation becomes relatively more important as, by curbing emissions, it helps to reduce temperature increase and hence the probability of the occurrence of the event. Adaptation on the contrary has no impact on this. It is also shown that optimal mitigation responses are much less sensitive than adaptation responses to spatial uncertainty. Mitigation responds to global damages, while adaptation to local damages. The first, being aggregated, change less than the second in the presence of spatial uncertainty as higher expected losses in some regions are compensated by lower expected losses in other. Accordingly, mitigation changes less than adaptation. Thus if it cannot be really claimed that spatial uncertainty increases the weight of mitigation respect to that of adaptation, however its presence makes mitigation a safer; or more robust strategy to a policy decision maker than adaptation.
Subjects:Climate Change
Mitigation
Adaptation
Uncertainty
Integrated Assment Model
JEL:C61
D58
Q54
Document Type:Working Paper
Appears in Collections:FEEM Working Papers, Fondazione Eni Enrico Mattei

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