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Climate Change Policy under Spatially Structured Ambiguity: Hot Spots and the Precautionary Principle

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  • Athanasios Yannacopoulos
  • Anastasios Xepapadeas

Abstract

In view of the ambiguities and the deep uncertainty associated with climate change, we study the features of climate change policies that account for spatially structured ambiguity. Ambiguity related to the evolution of the natural system is introduced into a coupled economy-climate model with explicit spatial structure due to heat transport across the globe. We seek to answer questions about how spatial robust regulation regarding climate policies can be formulated; what the potential links of this regulation to the weak and strong version of the precautionary principle (PP) are; and how insights about whether it is costly to follow a PP can be obtained. We also study the emergence of hot spots, which are locations where local deep uncertainty may cause robust regulation to break down for the whole spatial domain, or the weak PP to be costly.

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Paper provided by Athens University of Economics and Business in its series DEOS Working Papers with number 1332.

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Handle: RePEc:aue:wpaper:1332

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Keywords: Ambiguity; Climate change; space; maxmin expected utility; robust control regulation; hot spots; precautionary principle;

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  1. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2002. "A smooth model of decision making under ambiguity," ICER Working Papers - Applied Mathematics Series 11-2003, ICER - International Centre for Economic Research, revised Apr 2003.
  2. Lars Peter Hansen & Thomas J. Sargent, . "Three types of ambiguity," Working Papers 2012-006, Becker Friedman Institute for Research In Economics.
  3. Athanassoglou, Stergios & Xepapadeas, Anastasios, 2012. "Pollution control with uncertain stock dynamics: When, and how, to be precautious," Journal of Environmental Economics and Management, Elsevier, vol. 63(3), pages 304-320.
  4. Hansen, Lars Peter & Sargent, Thomas J., 2003. "Robust control of forward-looking models," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 581-604, April.
  5. Gilboa, Itzhak & Schmeidler, David, 1989. "Maxmin expected utility with non-unique prior," Journal of Mathematical Economics, Elsevier, vol. 18(2), pages 141-153, April.
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