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

Author(s):  
Yulin Li ◽  
Lingling Huang ◽  
Li Xiang ◽  
Dongmei Dou

Abstract Background: 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. Methods: 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.Results: 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. Conclusions: 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.

2020 ◽  
Author(s):  
Yulin Li ◽  
Lingling Huang ◽  
Li Xiang ◽  
Dongmei Dou

Abstract Background: 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. Methods: 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. Results: 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. Conclusions: 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.


2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yulin Li ◽  
Lingling Huang ◽  
Li Xiang ◽  
Dongmei Dou

Abstract Background 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 has been little studies on their effect on settlement intentions. Therefore, the purpose of this paper was to study the impact of basic medical insurance for urban employees and application for personal social security cards on the settlement intentions of the floating population. With the increase of the desire to settle, the health management and the development of public health will be improved. Methods 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. Additionally, this study also examined the comprehensive causal relationship, with social integration as the mediator variable. We used SPSS 21.0 software. The input method was used to analyze the influence of the above variables by binary logistic regression. Then we used AMOS22.0 software to establish the structural equation model of the relationship between the above three independent variables. Finally, we used bootstrapping method to analyze the direct effect, indirect effect and total effect of independent variables on settlement intention. Results The settlement intention of members of the floating population after participating in basic medical insurance for urban employees was 23.2% 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%. Conclusions 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.


2020 ◽  
Author(s):  
Yulin Li ◽  
Lingling Huang ◽  
Li Xiang ◽  
dongmei dou

Abstract Background There are many studies on the influencing factors of floating population's intention to settle down. Medical insurance and social security cards have an important guarantee for the floating population to live a stable life in the current residence, but there are limited studies focused on the influence of medical insurance and social security cards on their settlement intention. Therefore, the purpose of this paper is to study the influence of medical insurance and social security card on the settlement intention of floating population, so as to create better living and working conditions for floating population and improve their happiness in their current place of residence. Methods Based on the survey data of China's floating population dynamic monitoring in 2017, we explored the influence of medical insurance (urban employee basic medical insurance) and social security cards on the floating population's settlement intention with binary logistic regression and structural equation model. Additionally, this study was also to examine the comprehensive causal relationship, with social integration as the mediator variable. Results The floating population's settlement intention on participating in urban employee basic medical insurance is 23.2 percent higher than those who did not participate. Whether to apply for personal social security cards is related to the settlement intention. The standardized regression coefficients among social insurance and security, social integration, and settlement intention are positive values, and the Z values ​​of the overall effect, indirect effect, and direct effect are all greater than 1.96, and the confidence interval of the indirect effect does not include 0. The article found that this model is a partial intermediary, with an intermediary ratio of 10.66 percent. Conclusions The article highlights the important impact of urban workers' medical insurance and individual social security cards on the floating population. The results of this study may provide some reference for the government to formulate relevant policies.


2020 ◽  
Author(s):  
Yulin Li ◽  
Lingling Huang ◽  
Li Xiang ◽  
Dongmei Dou

Abstract Background: There are many studies on the influencing factors of floating population's intention to settle down. Medical insurance and social security cards have an important guarantee for the floating population to live a stable life in the current residence, but there are limited studies focused on the influence of medical insurance and social security cards on their settlement intention. Therefore, the purpose of this paper is to study the influence of medical insurance and social security card on the settlement intention of floating population, so as to create better living and working conditions for floating population and improve their happiness in their current place of residence. Methods: Based on the survey data of China's floating population dynamic monitoring in 2017, we explored the influence of medical insurance (urban employee basic medical insurance) and social security cards on the floating population's settlement intention with binary logistic regression and structural equation model. Additionally, this study was also to examine the comprehensive causal relationship, with social integration as the mediator variable. Results: The floating population's settlement intention on participating in urban employee basic medical insurance is 23.2 percent higher than those who did not participate. Whether to apply for personal social security cards is related to the settlement intention. The standardized regression coefficients among social insurance and security, social integration, and settlement intention are positive values, and the Z values ​​of the overall effect, indirect effect, and direct effect are all greater than 1.96, and the confidence interval of the indirect effect does not include 0. The article found that this model is a partial intermediary, with an intermediary ratio of 10.66 percent. Conclusions: The article highlights the important impact of urban workers' medical insurance and individual social security cards on the floating population. The results of this study may provide some reference for the government to formulate relevant policies.


Author(s):  
Yingying Meng ◽  
Junqiang Han ◽  
Siqi Qin

The impact of health insurance on residents’ health is one of the focal points of academic research. Due to the fact that China’s medical insurance system is composed of a variety of programs and that the pooling districts are at the lower administrative level, enrollment in different medical insurance programs or at different places may have certain influences on the health of residents. This has mostly been neglected by previous studies. This paper uses data from the 2015 China Migrants Dynamic Survey (CMDS), focusing on the senior floating population and taking the difference in government subsidy proportions as an instrumental variable in order to identify the effects of health insurance programs and regional differences on the health of the senior floating population. Three effects were observed: First, participation in the health insurance system significantly improves floating seniors’ self-rated health. Second, the health status of floating seniors affects their choice of health insurance program: Less healthy persons tend to choose high-paying, wide-coverage basic medical insurance available for urban employees. Using an instrumental variable to control for the problem of endogeneity, it is discovered that compared with the basic medical insurance system for urban residents, the system for urban employees significantly enhances the health of the senior floating population. Third, “adverse selection” could be observed in the choice between enrolling in health insurance at the place of settlement or another place. Senior migrants with worse self-rated health tend to choose place of settlement in order to enjoy higher compensation and less complex reimbursement procedures. With an instrumental variable to control for the problem of endogeneity, it was found that compared with joining the medical insurance system at other places, joining at a place of settlement could improve the health of the floating senior population.


Author(s):  
Pu Liao ◽  
Zhihong Dou ◽  
Xingxing Guo

This paper explores the role of basic medical insurance in protecting family investment in child education. First, this paper establishes a two-phase overlapping generation model to theoretically analyse the impact of basic medical insurance on investment in child education under the influence of the impact of parental health. The results show that health shock reduces parental investment in child education, and medical insurance significantly alleviates the negative impact of parental health shock on investment in child education. Furthermore, this paper establishes a two-way fixed effect regression model based on the data of China Family Panel Studies (CFPS) in 2014 and 2016 to empirically test the above results. The results showed that parental health shocks negatively affect investment in child education, and paternal health shock has a more significant impact than maternal health shock. However, medical insurance significantly reduces this negative impact, provides security in investment in child education, and promotes the improvement of human capital.


2021 ◽  
Vol 9 ◽  
Author(s):  
Hua Chen ◽  
Gandan Xiao ◽  
Jianing Xing ◽  
Qing Zhou

This paper employs data from the 2016 and 2018 China Family Panel Studies (CFPS) to study the impact of participation in Urban and Rural Resident Basic Medical Insurance (URRBMI) on children's educational outcomes by using the logit model, double selection Lasso model, and propensity score matching. It is found that participating in URRBMI has no significant effect on children's Chinese performance, but has a significant negative effect on children's mathematics performance. The negative effect is more obvious for children who participating in the New Cooperative Medical Scheme (NCMS). The paper also studies the channel effects of participation in URRBMI on children's educational outcomes trough two different ways. It is noticed that both channel effects are not significant, that is, participation in URRBMI neither improves children's health nor changes household education expenditures.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jieying Gao ◽  
Dongxiao Chu ◽  
Tao Ye

The fairness of the benefits of basic medical insurance for the migrants is drawing increasing attention. This paper examined the beneficial equality of the basic medical insurance for the floating population in China using the “2014 National Internal Migrant Dynamic Monitoring Survey.” The Heckman model was employed due to selection bias among inpatients, and the random forest algorithm of machine learning was used to analyze the importance of factors affecting the hospitalization decision-making, hospitalization consumption, and reimbursement proportion of the floating population. The results show significant differences in the fairness of basic medical insurance benefits among different income groups, and the highest-income group benefits the most. In contrast, the higher-income group benefits the least. Further verification by introducing the commercial medical insurance indicated that the differences among different income groups did not disappear but reduced the degree of difference among the groups. Although China’s healthcare reform has progressed greatly, the study’s findings confirm that the government’s fair medical insurance can lead to unfair problems and the phenomena of low-income groups subsidizing high-income groups under the equalized basic medical insurance system. Adjusting the design of equalized medical insurance and allowing different income groups to pay different premium levels according to the payment level may be more conducive to the fairness of benefits based on achieving universal health coverage in China.


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