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Analysis Of The Evolution Of Provincial Population Spatial Network And Its Influencing Factor

Posted on:2024-04-06Degree:MasterType:Thesis
Country:ChinaCandidate:P W DengFull Text:PDF
GTID:2557306935464194Subject:Financial statistics and risk management
Abstract/Summary:
With the entry of the era of big data,massive data will be generated every day,and the data of permanent population over the years is no exception.The study of population spatial network has become a hot topic at present.To make the population flow become the force to promote the coordinated development of regions,study the structural changes of the population spatial network in 31 provinces and explore the influencing factors of the population spatial network,which provides important reference value and theoretical basis for the formulation and implementation of regional policies.Based on the modified population gravity model,social network analysis,time series analysis and QAP analysis method,this paper visualizes and analyzes the structural and morphological characteristics of inter-provincial population spatial network,and empirically analyzes the influencing factors of inter-provincial population spatial network.The results show that:(1)The population spatial network evolution results show that with the passage of time,the population of other regions has the strongest connection with Beijing and Jiangsu,while the population of Tibet has the weakest connection.(2)The overall population spatial network density showed a balanced trend over the years,but the actual number of nodes increased,indicating that the number of inter-provincial population contacts gradually increased;Taking 2010 as an example,it is obtained that Beijing and Jiangsu have the highest point degree centrality and proximity centrality,indicating that Beijing and Jiangsu are in the core position of the whole population spatial network.In the community discovery,the population connection between the plates themselves is the strongest.The population connection between other plates and Plate 1 is the strongest.However,the population connection between other plates and Plate 2,Plate 4,Plate 7 and Plate8 is very weak,indicating that the population of the plates is mostly concentrated in the eastern and northern coastal areas.Based on the results of plate segmentation,the economic growth effect of eight plates is analyzed by using the time series analysis method.The fixed effect model is robust,and the economic growth effect of different plates has significant differences,indicating that the economic development of different plates is not coordinated.(3)The results of QAP analysis show that there is a significant positive correlation between geographical proximity,industrial structure difference,wage income difference and foreign investment difference and population spatial network.The geographical proximity of provinces,the tertiary industry differences in industrial structure,wage income differences and foreign investment differences have significant effects on the inter-provincial population spatial network.Finally,the robustness test verifies that the results of QAP regression are robust.Based on the above research results,this paper puts forward the corresponding policy implications:(1)Broaden the trend of population flow in plates and promote the new pattern of regional development.It is necessary to strengthen the connection of population flow between different plate comprehensive economic zones,break through the limitation of single plate and large number of converging population flow,scientifically guide the orderly flow of population,realize the balance of population flow relationship between plates,and optimize the pattern of population flow and agglomeration;(2)Build inter-provincial cooperative relations with the support of population flow.To establish regional cooperative relations,increase employment opportunities,attract population flow,lead regional cooperative development,promote the coordination and adaptation of population,resources and environment,and finally realize the coordinated development of 31 provinces;(3)To reduce the impact of the differences of related factors and promote the evolution of space network.All provinces should have a correct understanding of the factors affecting the population spatial network,make reasonable planning,break through the constraints of geographical space,optimize the industrial structure,vigorously attract foreign investment,improve the regional wage level,and finally promote the evolution process of population network.
Keywords/Search Tags:Population spatial network, Population gravity model, Social network analysis, QAP analysis, Time series analysis
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