The Influence of Medical Insurance and Social Security Cards on The Floating Population's Settlement Intention release_pmehlx3x6nbw5loxdekwhwcjzy

Abstract

<jats:title>Abstract</jats:title> <jats:bold>Background:</jats:bold> There are many studies on the factors influencing the floating population's intentions to settle down. Medical insurance and social security cards are an important incentive for the floating population to live a stable life in their current residence, but there are limited studies on the influence of medical insurance and social security cards on settlement intentions. Therefore, the purpose of this paper was to study the impact of basic medical insurance for urban employees and the decision as to whether to apply for individual social security cards on the settlement intentions of the floating population. As the willingness to settle has increased, the development of health management and public health in the place of residence has improved. <jats:bold>Methods:</jats:bold> Based on the 2017 survey data from the dynamic monitoring of China's floating population, we explored the influence of basic medical insurance for urban employees and social security cards on the floating population's settlement intentions with binary logistic regression and structural equation models. Additionally, this study also examined the comprehensive causal relationship, with social integration as the mediator variable.<jats:bold>Results:</jats:bold> The settlement intention of members of the floating population after participating in basic medical insurance for urban employees was 23.2 percent higher than that of those who did not participate. The decision as to whether to apply for a personal social security card is related to their settlement intention. The standardized regression coefficients among social insurance and security, social integration, and settlement intention were positive values, and the Z values of the overall effect, indirect effect, and direct effect were all greater than 1.96; the confidence interval of the indirect effect did not include 0. We found that this model is a partial intermediary model, with an intermediary ratio of 10.66 percent. <jats:bold>Conclusions: </jats:bold>This article highlights the important impact of basic medical insurance for urban employees and individual social security cards on the floating population. The conclusions of this study provide suggestions for the government to use when designing policies to enhance the settlement intentions of the floating population and to improve the development of public health undertakings.
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