Proceedings of the 3rd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2024, March 29–31, 2024, Wuhan, China

Research Article

A Study on the Factors Influencing the Social Integration of Migrant Populations in Wuhan: An Empirical Analysis Based on Structural Equation Modeling

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  • @INPROCEEDINGS{10.4108/eai.29-3-2024.2347443,
        author={Keyue  Huang and Siyuan  Deng and Jichan  Dong},
        title={A Study on the Factors Influencing the Social Integration of Migrant Populations in Wuhan: An Empirical Analysis Based on Structural Equation Modeling},
        proceedings={Proceedings of the 3rd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2024, March 29--31, 2024, Wuhan, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2024},
        month={6},
        keywords={migrant populations social integration sem wuhan},
        doi={10.4108/eai.29-3-2024.2347443}
    }
    
  • Keyue Huang
    Siyuan Deng
    Jichan Dong
    Year: 2024
    A Study on the Factors Influencing the Social Integration of Migrant Populations in Wuhan: An Empirical Analysis Based on Structural Equation Modeling
    ICBBEM
    EAI
    DOI: 10.4108/eai.29-3-2024.2347443
Keyue Huang1, Siyuan Deng1, Jichan Dong1,*
  • 1: Wuhan Polytechnic University
*Contact email: 18307789386@163.com

Abstract

Wuhan, as a developed city in China, has attracted a large number of migrants to live and work. However, due to restrictions such as the household registration system and social welfare benefits, the social integration of migrants in Wuhan is relatively low. Based on survey data from 771 questionnaires in Wuhan, a structural equation model was used to test the theoretical model and analyze the factors influencing the social integration of migrants in Wuhan. The study found that economic integration, policy acceptance, and social culture all have varying degrees of direct positive effects on the social integration of migrants.