Study On Spatial Pattern And Evolution Of Regional Population And Economy

Taking Liaoning Province as the research object,this paper measures the spatial pattern and evolution of population and economy by quantitative analysis,and expounds the spatial evolution characteristics and formation mechanism of population and economy by qualitative analysis.First of all,starting with the coordination of employment structure and industrial structure in the field of population and economy,this paper uses the structural deviation degree model and coordination degree model to quantitatively measure the overall industrial structure and employment structure development level of Liaoning Province.The research shows that the structural deviation degree of the primary industry in Liaoning Province from 2001 to 2016 is relatively stable,the structural deviation degree of the secondary industry varies greatly,and the structural deviation degree of the tertiary industry as a whole is near zero.It shows that the adjustment of industrial structure in Liaoning Province has achieved remarkable results in recent years.The coordination coefficient of industrial structure and employment structure in Liaoning Province is fluctuating,the quality of economic development is poor,and the problem of economic structure is still severe.Secondly,based on the panel data of population,economy and administrative area of each county and district in Liaoning province from 2000 to 2016,this paper makes a quantitative analysis of the imbalance between population and economy.The imbalance index shows the evolution trend of "declining first and then rising",which reflects that the spatial distribution pattern of population and economy has gradually changed from coordination to imbalance.Then,in order to explore the formation mechanism of the characteristics of population and economic imbalance,the geographical concentration method is adopted to analyze and demonstrate the spatial clustering characteristics and evolution mechanism of population and economy in various regions.The results showed that the population and economy of Liaoning province had obvious agglomeration characteristics,and the population tended to cluster to the municipal districts and county-level cities in the central region.The economy can be roughly divided into two concentrated areas,one is Shenyang,Anshan,Yingkou three municipal districts as the core of Liaozhong gathering area,the other is Dalian City District as the core of the Liaodong Peninsula agglomeration area.In order to further reflect the evolution process of spatial agglomeration of population and economy,the standard deviation ellipse method is adopted to visually express the geographical concentration index of population and economy in each region.On this basis,the inconsistency index model is introduced to analyze the spatial coordination of population agglomeration and economic agglomeration.The numerical fluctuation of the inconsistency index in each region is large,and the level of economic agglomeration in most areas is lower than that of population concentration.In addition,spatial clustering characteristics and evolution process of inconsistent indexes are analyzed and expressed with the help of spatial auto-correlation model.The global auto-correlation coefficient Moran's I is all positive,indicating that the spatial autocorrelation characteristic of inconsistent exponent is obvious.LISA agglomeration diagram of inconsistency index shows that the areas of H-H agglomeration are concentrated in the inter-provincial marginal areas of southwest and northeast Liaoning,while the areas of L-L agglomeration are mainly distributed in the eastern part of eastern Liaoning peninsula and the northern part of eastern Liaoning bay.The inconsistency index between population and economy in other areas has no obvious spatial correlation characteristics.Finally,according to the research conclusion and combined with the development status of Liaoning Province,relevant countermeasures and suggestions are put forward,in order to provide reference and reference for the local government departments to formulate policies and measures.