地级市尺度下中国物流企业空间格局演化特征及影响因素OA

Logistics enterprises play a crucial role in a regional economy,with their distribution directly affecting its resource allocation and market competitiveness.The study of the evolution characteristics of the spatial pattern of logistics enterprises in prefecture-level cities and their influencing factors can help reveal the formation mecha-nism of logistics enterprises'agglomeration.Based on the geographic location data of logistics enterprises in pre-fecture-level cities in China from 2006 to 2023,we use spatial analysis methods,such as kernel density analysis,standard deviation ellipse,average nearest neighbor,and spatial autocorrelation,to obtain the spatiotemporal pat-tern and evolution characteristics of logistics enterprises at prefecture-level city scale.The factors affecting the spatial pattern of logistics enterprises and their spatial differentiation are analyzed using multi-scale geographical-ly weighted regression models.The results reveal that(1)The spatial distribution of logistics enterprises in China has always maintained the agglomeration characteristics,and its spatial pattern has experienced the"one-core-driven,multi-point agglomeration"to"multiple cores"and then gradually to the"dual-core"evolutionary pro-cess,with corridor diffusion and neighborhood diffusion effects.(2)Logistics enterprise development has a signif-icant positive spillover effect,as a faster development of a city can drive the development of neighboring cities.Underdeveloped cities around a developed city experiencing a"siphon effect"in the"siphon tide"of low-lying areas would experience a significant negative spillover effect.(3)The number of employments in the tertiary in-dustry and the total amount of imports and exports are the main influencing factors of the spatial pattern of logis-tics enterprises.Moreover,the total amount of imports and exports and the number of foreign-funded enterprises are global influencing factors,while the number of employments in the tertiary industry and GDP per capita are local influencing factors.