Arbeitspapier

Optimal Climate Policy for a Pessimistic Social Planner

In this paper we characterize the preferences of a pessimistic social planner concerned with the potential costs of extreme, low-probability climate events. This pessimistic attitude is represented by a recursive optimization criterion à la Hansen and Sargent (1995) that introduces supplementary curvature in the social preferences of standard linear-quadratic optimization analysis and, under certain conditions, it can be shown to correspond to the Epstein-Zin recursive utility. The introduction of extra convexity and the separation between risk-aversion and time-preference implies that, independently of the choice of the discount rate, a sharp, early and steady mitigation effort arises as the optimal climate policy, supporting the main recommendation of the Stern Review (Stern, 2007). Nonetheless, we accommodate for its main criticism of using a too low and questionable discount rate (Nordhaus, 2007), while preserving the assumption of a normal (thin-tailed) probability distribution (Weitzman, 2009). Finally, we argue that our theoretical framework is sufficiently general and robust to possible mis-specifications of the model.

Sprache
Englisch

Erschienen in
Series: Nota di Lavoro ; No. 33.2014

Klassifikation
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Climate; Natural Disasters and Their Management; Global Warming
Thema
Climate Change
Climate Policy Targets
Risk Aversion
Pessimism

Ereignis
Geistige Schöpfung
(wer)
Valentini, Edilio
Vitale, Paolo
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Valentini, Edilio
  • Vitale, Paolo
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2014

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