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Study On The Spatiotemporal Pattern And Driving Factors Of The Medical Insurance Participation Rate In The Inflow Area Of Agricultural Floating Population

Posted on:2024-02-09Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ChenFull Text:PDF
GTID:2544306929981719Subject:Agriculture
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Since China’s reform and opening up,with the rapid development of China’s social economy,the advancement of urbanization and the reform of the registered residence system,the population flow between regions has become increasingly active,and the scale of the floating population has expanded rapidly.In the research on the medical insurance participation rate of agricultural floating population,the characteristics of existing research results are shown in three aspects: from the perspective of indicators,scholars believe that individual factors,occupational characteristics and mobility factors are important factors affecting the medical insurance participation rate of floating population.From the perspective of methods,Logistic model,OLS analysis and quantile regression are commonly used statistical research methods by scholars at home and abroad.From the perspective of scale,the difference of medical insurance participation rate of floating population is studied at the national level,meso scale and small-scale inter provincial and regional scales.The existing research is relatively rich,and put forward suggestions on the dynamic development of medical insurance participation rate of regional floating population and narrowing the difference of medical insurance participation rate.However,the academic research on the medical insurance participation rate of floating population is mostly limited to the influencing factors from the perspective of sociology and management.In view of this,on the basis of existing research,this paper,from the perspective of regional economics,explores the spatio-temporal evolution of the participation rate of China’s agricultural floating population in residential medical insurance from 2010 to 2017 using the combination of traditional statistics and spatial data analysis,based on the dynamic monitoring survey data of the national floating population from 2011 to 2018,It also analyzes the evolution of the development pattern of the medical insurance participation rate of the agricultural floating population in the city level and the influencing factors.On the basis of this,this article proposes some improvement measures for the medical insurance participation rate of floating population.Research findings:In the study of spatial difference of agricultural floating population,this study found that as the main inflow places of agricultural floating population,Beijing,Tianjin,Shanghai,Suzhou,Guangzhou and other eastern coastal provinces and cities as well as provincial capitals can not only attract the inflow of agricultural floating population,but also affect their willingness to participate in insurance,especially the urban agglomeration in the middle reaches of the Yangtze River,the Yangtze River Delta,the Pearl River Delta The core cities in Shandong and Xinjiang,as well as Yanbian in the northeast,are dominated and growing rapidly,while the participation rate in the central,western,southwest,Inner Mongolia and some parts of the northeast is low.According to the spatial pattern of the medical insurance participation rate in China’s floating population’s residential areas from 2010 to 2017,the medical insurance participation rate in the floating population’s residential areas shows an upward trend;By analyzing the ellipse of the standard deviation and the locus of the center of gravity of the medical insurance participation rate of the agricultural floating population’s residence and registered residence,it is concluded that the medical insurance participation rate of the agricultural floating population’s residence has the characteristics of unbalanced development between the eastern and western regions,but the gap is narrowing;Through the measurement of global spatial autocorrelation and local correlation,it is found that there is a significant spatial correlation between the residence of the agricultural floating population and the medical insurance participation rate of the registered residence,and the overall situation is spatial agglomeration;According to the interannual changes of the cold and hot spots of the medical insurance coverage rate in the agricultural floating population’s residential areas,it is found that the hot spots of the medical insurance coverage rate in the agricultural floating population’s residential areas are scattered,and the cold spots tend to gather.In the analysis of the influencing factors of the medical insurance coverage rate of the agricultural floating population’s residence,this study found that the wage level,education level,age,and employment status in the individual characteristics would significantly improve the probability of the agricultural floating population choosing to participate in the medical insurance in the re inflow place,of which the wage level had the greatest pull on the medical insurance coverage rate of the agricultural floating population’s residence,but the service industry employees were opposite.In the social and economic environment,the macro-economy has a greater impact on the insurance coverage rate of the agricultural floating population inflow places,and the infrastructure environment also has a promoting role in the insurance selection of the agricultural floating population inflow places.Among the floating factors,the floating time has a more obvious positive impact on the insurance participation rate of the agricultural floating population inflow places.On the basis of the above analysis,combined with the practical features of China’s agricultural floating population,This article proposes the following policy recommendations:First of all,fully understand the impact of the spatial pattern of the participation rate of agricultural floating population inflow on regional development;Secondly,focus on the coordination of regional development,and improve the enhance of the participation rate of agricultural floating population in the inflow areas;Third,we will promote the reform of the registered residence system and strengthen the government’s supervision mechanism.
Keywords/Search Tags:Agricultural floating population, Social medical insurance, Inflow place, Spatial pattern, influence factor
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