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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/39684
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dc.contributor.authorSilveira, J. J.-
dc.contributor.authorEspindola, A. L.-
dc.contributor.authorPenna, TJP-
dc.date.accessioned2014-05-20T15:30:15Z-
dc.date.accessioned2016-10-25T18:05:43Z-
dc.date.available2014-05-20T15:30:15Z-
dc.date.available2016-10-25T18:05:43Z-
dc.date.issued2006-05-15-
dc.identifierhttp://dx.doi.org/10.1016/j.physa.2005.08.055-
dc.identifier.citationPhysica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 364, p. 445-456, 2006.-
dc.identifier.issn0378-4371-
dc.identifier.urihttp://hdl.handle.net/11449/39684-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/39684-
dc.description.abstractIn this paper, we analyze the rural-urban migration phenomenon as it is usually observed in economies which are in the early stages of industrialization. The analysis is conducted by means of a statistical mechanics approach which builds a computational agent-based model. Agents are placed on a lattice and the connections among them are described via an Ising-like model. Simulations on this computational model show some emergent properties that are common in developing economies, such as a transitional dynamics characterized by continuous growth of urban population, followed by the equalization of expected wages between rural and urban sectors (Harris-Todaro equilibrium condition), urban concentration and increasing of per capita income. (c) 2005 Elsevier B.V. All rights reserved.en
dc.format.extent445-456-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjecteconophysicspt
dc.subjectrural-urban migrationpt
dc.subjectMonte Carlo methodpt
dc.subjectcomputational modelingpt
dc.titleAgent-based model to rural-urban migration analysisen
dc.typeoutro-
dc.contributor.institutionUniversidade Federal Fluminense (UFF)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Fed Fluminense, Inst Fis, BR-24210340 Niteroi, RJ, Brazil-
dc.description.affiliationUNESP, Dept Econ, BR-14800901 Araraquara, SP, Brazil-
dc.description.affiliationUnespUNESP, Dept Econ, BR-14800901 Araraquara, SP, Brazil-
dc.identifier.doi10.1016/j.physa.2005.08.055-
dc.identifier.wosWOS:000237000300040-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofPhysica A: Statistical Mechanics and Its Applications-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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