Geographical Characteristics and Influencing Factors of Digital Rural Development Level at County Scale in Sichuan Province
Taking the 2020 Digital Rural County Index provided by Institute for New Rural Development as a measurement indicator,spatial autocorrelation analysis,spatial variation function,geographic weighted regression,and other methods were used to study the spatial differentiation characteristics and influencing factors of the devel-opment level of digital rural areas in 172 counties in Sichuan province.The results are as follows.(1)The overall level of digital rural development in counties of Sichuan province is low,and the spatial differentiation pattern is ob-vious,showing a decreasing trend from east to west with Chengdu Plain as the core high value area.(2)The spatial correlation of digital rural development level is strong,and the significant high-high areas are mainly distributed in and around Chengdu Plain,such as Deyang and Meishan counties.Significant low-low areas are mainly distributed in the northwest of Sichuan and Panxi regions,such as counties in Aba,Ganzi,and Liangshan.(3)The regional differentiation of digital infrastructure index and governance digital index is greatly influenced by spatial correlation,while the regional differentiation of economic digital index and life digital index is mainly influenced by random components.(4)From the absolute value of the average regression coefficient,the factors that affect the develop-ment level of county-level digital rural ranked from high to low are rural finance,income level,internet develop-ment level,population education level,government support,transportation conditions.And these factors are not in-dependent and directly acting on digital rural,but rather the result of the enhanced interaction between various fac-tors in pairs.
digital rural development levelspatial differentiationinfluencing factorsgeographically weigh-ted regression modelSichuan province
万方数据
维普
