Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Analysis of the Influencing Factors on the Willingness to Participate in Social Medical Insurance of Shanghai's Migrant Population

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345414,
        author={Xingyang  Yu and Wenshuang  Zhao},
        title={Analysis of the Influencing Factors on the Willingness to Participate in Social Medical Insurance of Shanghai's Migrant Population},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={mobile population; health insurance; binary logistic regression analysis},
        doi={10.4108/eai.15-12-2023.2345414}
    }
    
  • Xingyang Yu
    Wenshuang Zhao
    Year: 2024
    Analysis of the Influencing Factors on the Willingness to Participate in Social Medical Insurance of Shanghai's Migrant Population
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345414
Xingyang Yu1, Wenshuang Zhao1,*
  • 1: Harbin University of Commerce
*Contact email: 13674572738@163.com

Abstract

As the economic center of China, Shanghai attracts a large number of floating population every year. Based on the data of the 2018 National Mobile Population Dynamic Monitoring Survey, this paper derives the current situation of Shanghai's mobile population groups and insurance participation, and conducts a study on the data of the mobile population whose place of inflow is Shanghai to analyze which factors of individuality, employment, mobility, and social integration have a differentiated impact on the insurance participation behavior of Shanghai's mobile population. Descriptive statistical analysis and binary logistic regression analysis are used to further explore the influencing factors and to obtain the results.