Influencing Factors Of Floating Population’s Participation In Social Medical Insurance In Inflow Place

Since the reform and opening up,with the acceleration of industrialization and urbanization,the scale of floating population has expanded rapidly.In 2019,China’s floating population will reach 236 million,accounting for 17% of the total population.The floating population has made great contributions to the economic and social development of cities and towns.However,due to their high labor intensity,relatively poor living conditions,imperfect public health services,they are more likely to face disease risks,and the demand for medical insurance is also the most urgent.The basic medical insurance in China presents two elements and fragmentation.The floating population who has participated in the medical insurance in the registered residence will have difficulties in reimbursement and complicated procedures if they want to see a doctor in the inward area.Social medical insurance is an important guarantee for the floating population to resist disease risks and promote their integration into the city.It is of great significance for the floating population to participate in the social medical insurance in the inflow area.In this regard,this paper takes the influencing factors of floating population’s participation in social medical insurance in the inflow area as the theme,uses the dynamic monitoring data of floating population in 2017,and uses the methods of literature analysis,empirical analysis and comparative analysis to analyze Suzhou,Qingdao,Zhengzhou,Changsha,Guangzhou,Chongqing,Xishuangbanna This paper analyzes the influencing factors of Urumqi’s floating population’s participation in social medical insurance.Combined with the sample data,this paper first makes descriptive statistics and cross analysis on the scale characteristics,individual characteristics,socio-economic characteristics and mobility characteristics of the floating population.The results show that the participation rate of China’s floating population in the inflow area is low,accounting for only 29.6%.Among them,the floating population with male,labor contract,stable occupation,high education level,long floating time and long-term residence intention has a higher participation rate.Secondly,the binary logistic regression model is used to explore the influencing factors that significantly affect the floating population’s participation in social medical insurance in the inflow area,and the importance ranking among the influencing factors is analyzed through the random forest model.The results show that the variables of personal characteristics,socio-economic characteristics and mobility characteristics have a significant impact on the dependent variable’s participation in social medical insurance in the inflow area,but whether to sign a labor contract,mobility area and education level have a greater impact.Thirdly,it analyzes the group and individual heterogeneity of the floating population.The scale of the floating population expands and the heterogeneity increases,which makes the influencing factors of the social medical insurance participation rate within the group and different individuals in the inflow place also appear obvious differences.Through the heterogeneity results,it is more targeted to study the influencing factors of the social medical insurance participation rate of the floating population in the inflow place.Finally,according to the influencing factors and differences,this paper puts forward reasonable countermeasures and suggestions to improve the social medical insurance coverage rate of the floating population in the inflow area,improve the health problems of the floating population in the inflow area,so as to improve the sense of social integration of the floating population and speed up the process of citizenization.