Evolutionary implementation of optimal city size distributions

Shota Fujishima

Regional Science and Urban Economics, 2013, vol. 43, issue 2, 404-410

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.

Keywords: System of cities; Externalities; Implementation; Perfect foresight dynamic; Potential game; Evolutionary game theory (search for similar items in EconPapers)
JEL-codes: C73 D04 D62 R12 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0166046212000907
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:regeco:v:43:y:2013:i:2:p:404-410

DOI: 10.1016/j.regsciurbeco.2012.10.002

Access Statistics for this article

Regional Science and Urban Economics is currently edited by D.P McMillen and Y. Zenou

More articles in Regional Science and Urban Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().