Study on the Evolution of Spatio-temporal Patterns for County Economic Differences and Influencing Factors in Sichuan Province Based on Night Light Data
Based on the 2013-2021 nighttime lighting data of 183 county units in Sichuan Province,this paper uses spatial auto-correlation,center of gravity shift,and standard deviation ellipse analysis to explore the evolution of the spatio-temporal pattern for the county economy in Sichuan Province,and uses multiple linear regression models to do an analysis of the influencing factors that cause the differences in the county economy in Sichuan Province.The study shows that:as a whole,the county economy of Sichuan Province shows a polarized pattern,the economic development of the Sichuan Basin area is good,while the economic development of the western Sichuan Plateau area is not obvious;the standard deviation ellipse shows a"northeast-southwest"distribution pattern in general,and at the same time,the economic center of gravity in Sichuan Province shows a small change,and the speed of change shows a gradual change.The standard deviation ellipse generally shows a"northeast-southwest"distribution pattern,while the economic center of grav-ity of Sichuan Province shows a small change in the magnitude of the change,and the rate of change shows a decreasing trend.From the point of view of spatial correlation,there is a significant positive correlation between the economic development of counties in Si-chuan Province,and the degree of spatial correlation shows a fluctuating upward trend,with strong spatial heterogeneity and regional agglomeration.Based on the multivariate linear regression model for determining the influencing factors,the urbanization level of the positive factor is the most important positive influencing factor,while the industrial structure is the secondary positive influencing fac-tor.The level of investment,the level of education and the market size are important positive influences on the economic development of the counties in Sichuan Province,while the government's power is a limiting factor.
nighttime lighting dataSichuan province countieseconomic differencesspatio-temporal patterns
万方数据
维普
