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Evolutionary implementation of optimal city size distributions

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  • Fujishima, Shota
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    Abstract

    We consider the problem of implementing optimal city size distributions. The planner would like to design a policy under which an optimum is achieved in the long-run from any initial state with neither direct population control nor knowledge of preferences. We show that the planner can lead an economy to an optimum by internalizing the externalities evaluated at current prices and the current population distribution in each period. Although there are generally nonoptimal equilibria under such a policy, these are not stable because people adjust their location decisions with forward-looking expectations.

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    Bibliographic Info

    Article provided by Elsevier in its journal Regional Science and Urban Economics.

    Volume (Year): 43 (2013)
    Issue (Month): 2 ()
    Pages: 404-410

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    Handle: RePEc:eee:regeco:v:43:y:2013:i:2:p:404-410

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    Web page: http://www.elsevier.com/locate/regec

    Related research

    Keywords: System of cities; Externalities; Implementation; Perfect foresight dynamic; Potential game; Evolutionary game theory;

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    1. Gerhard SORGER, 1998. "Perfect Foresight and Equilibrium Selection in Symmetric Potential Games," Vienna Economics Papers 9802, University of Vienna, Department of Economics.
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    Cited by:
    1. Akamatsu, Takashi & Fujishima, Shota & Takayama, Yuki, 2014. "On Stable Equilibria in Discrete-Space Social Interaction Models," MPRA Paper 55938, University Library of Munich, Germany.

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