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Agent-Based Approach for Modelling the Labour Migration from China to Russia

Author

Listed:
  • Valeriy Makarov

  • Albert Bakhtizin

    (CEMI RAS)

  • Elena Sushko

    (Central Economics and Mathematics Institute RAS)

  • Alina Ageeva

    (Institution of Russian Academy of Sciences Central Economics and Mathematics Institute RAS)

Abstract

The article describes the process of labour migration from China to Russia and shows its modelling using the agent-based approach. This approach allows us to simulate an artificial society in a computer program taking into account the diversity of individuals under consideration, as well as to model a set of laws and rules of conduct that make up the institutional environment in which the members of this society live. A brief review and analysis of agent-based migration models presented in the foreign literature are given. The agent-based model of labour migration from China to Russia developed by the Central Economic Mathematical Institute of the Russian Academy of Sciences simulates human behaviour close to reality, which is based on their internal purposes, determining the agents choice of territory as a place of residence. Therefore, at the development of the agents of the model and their behaviour algorithms, as well as the organization of the environment in which they exist and interact, the main characteristics of the population of two neighbouring countries and their demographic processes have been considered. Using the model, two experiments have been conducted. The purpose of the first of them was to assess the effect of depreciation of the rubble against the yuan on the overall indexes of labour migration, as well as its structure. In the second experiment, the procedure of the search of the information by agents for the migratory decision-making was changing. Namely, all generalizing information on the average salary by types of activity and skill level of employees, both in China and Russia, became available to all agents irrespective of their qualification level.

Suggested Citation

  • Valeriy Makarov & Albert Bakhtizin & Elena Sushko & Alina Ageeva, 2017. "Agent-Based Approach for Modelling the Labour Migration from China to Russia," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 331-341.
    • Handle: RePEc:ura:ecregj:v:1:y:2017:i:2:p:331-341
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    References listed on IDEAS

    as
    1. Klabunde, Anna, 2014. "Computational Economic Modeling of Migration," Ruhr Economic Papers 471, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Anna Klabunde & Frans J. Willekens & Sabine Zinn & Matthias Leuchter, 2015. "An agent-based decision model of migration, embedded in the life course - Model description in ODD+D format," MPIDR Working Papers WP-2015-002, Max Planck Institute for Demographic Research, Rostock, Germany.
    3. Janmaat, J. & Lapp, S. & Wannop, T. & Bharati, Luna & Sugden, Fraser, 2015. "Demonstrating complexity with a roleplaying simulation: investing in water in the Indrawati Subbasin, Nepal," IWMI Research Reports 229585, International Water Management Institute.
    4. Federico Pablo-Martí & Juan Luis Santos & Jogada Kaszowska, 2013. "An agent-based model of population dynamics for the European regions," ERSA conference papers ersa13p708, European Regional Science Association.
    5. Harris, John R & Todaro, Michael P, 1970. "Migration, Unemployment & Development: A Two-Sector Analysis," American Economic Review, American Economic Association, vol. 60(1), pages 126-142, March.
    6. J. Janmaat & S. Lapp & T. Wannop & Luna Bharati & Fraser Sugden, 2015. "Demonstrating complexity with a roleplaying simulation: investing in water in the Indrawati Subbasin, Nepal," IWMI Research Reports H047183, International Water Management Institute.
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    Cited by:

    1. Valeriy Makarov & Albert Bakhtizin & Elena Sushko & Alina Ageeva, 2018. "An Agent-Based Model of Eurasia and Simulation of Consequences of Large Infrastructure Projects," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1102-1116.

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