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Agent-based model for rural–urban migration: A dynamic consideration

Author

Listed:
  • Cai, Ning
  • Ma, Hai-Ying
  • Khan, M. Junaid

Abstract

This paper develops a dynamic agent-based model for rural–urban migration, based on the previous relevant works. The model conforms to the typical dynamic linear multi-agent systems model concerned extensively in systems science, in which the communication network is formulated as a digraph. Simulations reveal that consensus of certain variable could be harmful to the overall stability and should be avoided.

Suggested Citation

  • Cai, Ning & Ma, Hai-Ying & Khan, M. Junaid, 2015. "Agent-based model for rural–urban migration: A dynamic consideration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 806-813.
    • Handle: RePEc:eee:phsmap:v:436:y:2015:i:c:p:806-813
    DOI: 10.1016/j.physa.2015.05.015
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    References listed on IDEAS

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    4. Xi, Jianxiang & Cai, Ning & Zhong, Yisheng, 2010. "Consensus problems for high-order linear time-invariant swarm systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5619-5627.
    5. Xi, Jianxiang & Shi, Zongying & Zhong, Yisheng, 2011. "Consensus analysis and design for high-order linear swarm systems with time-varying delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4114-4123.
    6. Silveira, Jaylson J. & Espíndola, Aquino L. & Penna, T.J.P., 2006. "Agent-based model to rural–urban migration analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 364(C), pages 445-456.
    7. Itoh, Ryo, 2009. "Dynamic control of rural-urban migration," Journal of Urban Economics, Elsevier, vol. 66(3), pages 196-202, November.
    8. 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.
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    Cited by:

    1. Yunzhu He, 2022. "The Optimal Urban Scale from Different Perspectives and under Different Development Goals Based on the CES Utility Function," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    2. Fan, Rui & Xu, Ke & Zhao, Jichang, 2018. "An agent-based model for emotion contagion and competition in online social media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 245-259.
    3. Fu, Zhaohao & Hao, Lingxin, 2018. "Agent-based modeling of China’s rural–urban migration and social network structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1061-1075.

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