• DocumentCode
    3006020
  • Title

    An Explanation of Evolutionary Game Theory for the Circulative Flowed Phenomenon in Chinese Rural Labor Transfer

  • Author

    De-Hai Liu ; Wang, W.-g.

  • Author_Institution
    Sch. of Math. & Quantitative Econ., Dongbei Univ. of Finance & Econ., Dalian
  • fYear
    2008
  • fDate
    25-26 Sept. 2008
  • Firstpage
    92
  • Lastpage
    95
  • Abstract
    The famous Todaro model could not explain the circulative flowed phenomenon in the course of rural labor transfer. The paper uses Sethi´s generic replicator dynamic model (1998) of evolutionary game theory to explain the circulative flowed phenomenon based Chinese statistical data. It builds the urban-rural ternary-structure model including rural section, urban informal section and urban formal section, which breaks the rural-urban dual-structure limitation of Todaro model. Then it draws the necessary conditions of the asymptotic stable equilibrium (evolutionary equilibrium) and stable focus in the evolutionary function of Chinese rural labor transfer, which the phase diagram of stable focus describes the circulative flowed phenomenon of rural-urban population proportion. At last, it analyses some factors influenced the convergent course, including learning barriers in the urban formal sector and informal sector and rural-urban income gap.
  • Keywords
    economic indicators; evolutionary computation; game theory; Chinese rural labor transfer; Chinese statistical data; Sethi generic replicator dynamic model; Todaro model; asymptotic stable equilibrium; circulative flowed phenomenon; evolutionary function; evolutionary game theory; phase diagram; social economy problem; urban-rural ternary-structure model; Employment; Finance; Game theory; Genetics; Mathematical model; Mathematics; Remuneration; State-space methods; Symmetric matrices; Unemployment; Chinese statistical data; circulative flowed phenomenon; evolutionary game; rural labor transfer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3334-6
  • Type

    conf

  • DOI
    10.1109/WGEC.2008.54
  • Filename
    4637402