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Optimal Climate Policy for a Pessimistic Social Planner

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  • Valentini, Edilio
  • Vitale, Paolo

Abstract

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.

Suggested Citation

  • Valentini, Edilio & Vitale, Paolo, 2014. "Optimal Climate Policy for a Pessimistic Social Planner," Climate Change and Sustainable Development 166409, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemcl:166409
    DOI: 10.22004/ag.econ.166409
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    Cited by:

    1. Valeria Costantini & Anil Markandya & Elena Paglialunga & Giorgia Sforna, 2018. "Impact and distribution of climatic damages: a methodological proposal with a dynamic CGE model applied to global climate negotiations," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 809-843, December.
    2. Edilio Valentini & Paolo Vitale, 2022. "A Dynamic Oligopoly with Price Stickiness and Risk-Averse Agents," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(3), pages 697-718, November.
    3. Valentini, Edilio & Vitale, Paolo, 2019. "Uncertainty and Risk-aversion in a Dynamic Oligopoly with Sticky Prices," ETA: Economic Theory and Applications 285025, Fondazione Eni Enrico Mattei (FEEM).
    4. Svenn Jensen & Christian P. Traeger & Christian Träger, 2021. "Pricing Climate Risk," CESifo Working Paper Series 9196, CESifo.

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    More about this item

    Keywords

    Environmental Economics and Policy;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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