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Policy Instruments for Evolution of Bounded Rationality: Application to Climate-Energy Problems

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Author Info
Nannen, Volker
van den Bergh, Jeroen C. J. M.

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Abstract

We demonstrate how an evolutionary agent-based model can be used to evaluate climate policies that take the heterogeneity of strategies of individual agents into account. An essential feature of the model is that the fitness of an economic strategy is determined by the relative welfare of the associated agent as compared to its immediate neighbors in a social network. This enables the study of policies that affect relative positions of individuals. We formulate two innovative climate policies, namely `prizes', altering directly relative welfare, and `advertisement', which influences the social network of interactions. The policies are illustrated using a simple model of global warming where a resource with a negative environmental impact---fossil energy---can be replaced by an environmentally neutral yet less cost effective alternative, namely renewable energy. It is shown that the general approach enlarges the scope of economic policy analysis.

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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 13818.

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Date of creation: 14 Jan 2009
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Handle: RePEc:pra:mprapa:13818

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Related research
Keywords: agent-based modeling; behavioral economics; climate policy; evolutionary economics; relative welfare; social network;

Find related papers by JEL classification:
B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Institutional; Evolutionary
H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters
C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games

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  1. Ulrich Witt, 2008. "What is specific about evolutionary economics?," Journal of Evolutionary Economics, Springer, vol. 18(5), pages 547-575, October. [Downloadable!] (restricted)
  2. Janssen, Marco A. & Ostrom, Elinor, 2006. "Governing Social-Ecological Systems," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 30, pages 1465-1509 Elsevier. [Downloadable!] (restricted)
  3. Nordhaus, William D, 1991. "To Slow or Not to Slow: The Economics of the Greenhouse Effect," Economic Journal, Royal Economic Society, vol. 101(407), pages 920-37, July. [Downloadable!] (restricted)
  4. Popp, David, 2004. "ENTICE: endogenous technological change in the DICE model of global warming," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 742-768, July. [Downloadable!] (restricted)
  5. Ferrer-i-Carbonell, Ada, 2005. "Income and well-being: an empirical analysis of the comparison income effect," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 997-1019, June. [Downloadable!] (restricted)
  6. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43. [Downloadable!] (restricted)
  7. Janssen, Marco A. & Anderies, John M. & Walker, Brian H., 2004. "Robust strategies for managing rangelands with multiple stable attractors," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 140-162, January. [Downloadable!] (restricted)
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This page was last updated on 2009-11-28.


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