dc.contributorUniversidade Federal Fluminense (UFF)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:30:15Z
dc.date.available2014-05-20T15:30:15Z
dc.date.created2014-05-20T15:30:15Z
dc.date.issued2006-05-15
dc.identifierPhysica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 364, p. 445-456, 2006.
dc.identifier0378-4371
dc.identifierhttp://hdl.handle.net/11449/39684
dc.identifier10.1016/j.physa.2005.08.055
dc.identifierWOS:000237000300040
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.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationPhysica A: Statistical Mechanics and Its Applications
dc.relation2.132
dc.relation0,773
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjecteconophysics
dc.subjectrural-urban migration
dc.subjectMonte Carlo method
dc.subjectcomputational modeling
dc.titleAgent-based model to rural-urban migration analysis
dc.typeArtículos de revistas


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