Spatial Relevance Structure And Evolution Of China's Regional Inbound Tourism Economy

This study collects 16-year panel data on inbound tourism economy in 31 provinces of China.With the help of gravity model and social network analysis,through the intersection and integration of multi-disciplines,this study re-examines the spatial correlation of China's economic growth from the perspective of relationship data and network analysis,and comprehensively deconstructs the "overall network structure" of spatial correlation of China's economic growth.The network structure and evolution characteristics of the spatial correlation of China's overall inbound tourism economy divide the circle structure of China's regional inbound tourism economic development.The following conclusions are drawn:(1)In the four time sections of the survey period,the regional inbound tourism economy in China presents a non-balanced development trend,and the total,absolute value and membership degree of spatial correlation show obvious zonal ladder distribution characteristics.In addition,the zonal differentiation characteristics of the relative change amount of spatial correlation are significant,while the zonal differentiation characteristics of the relative growth multiple are not significant.(2)In the overall network structure of spatial association of inbound tourism economy in China,the spatial association network structure of economic growth of inbound tourism in China shows unbalanced development,and the relationship between spillover and benefit of inbound tourism economy shows greater asymmetry,but the difference shows a decreasing trend.Some regions or provinces play the main role of "diffusion" and "agglomeration".At first,the standardized intermediary centers in the provinces of Beijing,Tianjin,Hebei and Yangtze River Delta ranked first.Later,the standardized intermediary centers ranked higher in some provinces of eastern and central regions.They were gradually not easily controlled by other regions in the spatial connection network of inbound tourism economy,and had stronger independence and information acquisition ability.(3)The overall spatial relationship of the spatial connection network density of inbound tourism economy in 31 provinces and autonomous regions of China shows an upward trend year by year in quantity.The degree of the spatial connection of inbound tourism economy among regions is still not high,and the overall network structure is not close enough.In addition,the overall network has good accessibility,high correlation,high accessibility,and has comparison.Uniform structure,decentralized power and low level,the spatial spillover effect of the whole network exists widely among provinces,and the effect of interconnection is good.(4)In the block model analysis,it can be seen that Zhejiang,Jiangsu,Guangdong,Tianjin,Shanghai and Beijing are at the core of the whole network structure of spatial correlation of inbound tourism economy,and the other provinces and regions have complex and profound connections with the core provinces and cities in varying degrees.In addition,according to the results of the block model analysis,the spatial spillover gradient between the whole network plates is obvious in the four time sections.