Agent-based model to rural–urban migration analysis

Jaylson Silveira (), Aquino L. Espíndola and T.J.P. Penna

Physica A: Statistical Mechanics and its Applications, 2006, vol. 364, issue C, 445-456

Abstract: In 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.

Keywords: Econophysics; Rural–urban migration; Monte Carlo method; Computational modeling (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:364:y:2006:i:c:p:445-456

DOI: 10.1016/j.physa.2005.08.055

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