Arbeitspapier

The day after tomorrow: mitigation and adaptation policies to deal with uncertainty

The catastrophic events are characterized by "low frequency and high severity". Nevertheless, during the last decades, both the frequency and the magnitude of these events have been significantly rising worldwide. In 2021, the European Commission adopted a new Strategy on Adaptation to Climate Change aiming to reinforce the adaptive capacity and minimize vulnerability to the effects of climate change and natural catastrophes. In a continuous time framework over an infinite horizon, we solve in closed form the problem of a representative consumer who holds a production technology (firm) and who optimises with respect to both the intertemporal consumption and the mix between an insurance (adaptation) against the magnitude of the catastrophic losses, and an effort strategy (mitigation) aimed at reducing the frequency of such losses. The catastrophic events are modelled as a Poisson jump process. We then propose some numerical simulations calibrated to the country-specific data of the five main European economies (Germany, France, Italy, Spain, and Netherlands). Our model demonstrates that an optimal mix of mitigation/effort strategies allows to reduce the volatility of the economic growth rate, even if its level may be lowered due to the effort costs. Simulations allow us to also conclude that different countries must optimally react differently to catastrophes, which means that a one-for-all policy does not seem to be optimal.

Language
Englisch

Bibliographic citation
Series: Working Paper ; No. 022.2021

Classification
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Climate; Natural Disasters and Their Management; Global Warming
Subject
Uncertainty Modelling
Catastrophic Events
Mitigation
Adaptation
Optimal management

Event
Geistige Schöpfung
(who)
Bazzana, Davide
Menoncin, Francesco
Vergalli, Sergio
Event
Veröffentlichung
(who)
Fondazione Eni Enrico Mattei (FEEM)
(where)
Milano
(when)
2021

Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Bazzana, Davide
  • Menoncin, Francesco
  • Vergalli, Sergio
  • Fondazione Eni Enrico Mattei (FEEM)

Time of origin

  • 2021

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