An comparative study on spatial heterogeneity of China's urban network externality based on Multiscale Geographically Weighted Regression Model
Based on the urban economic network constructed from the data of China's A-share listed companies and their branches and the urban knowledge network constructed from the data of co-authored papers in China,this paper uses Multiscale Geographical Weighted Regression model(MGWR)and social network analysis methods to conduct an empirical study and comparison on the 240 cities at prefecture level and above,and to examine their spatial heterogeneity of economic growth in the above two types of networks.The results show that:(1)Embedding different types of urban networks has different effects on urban economic growth and spatial spillover.Compared to embedding urban enterprise networks,embedding inter-city knowledge network has a stronger promoting effect on urban economic growth.Embedding inter-city enterprise network has a dual effect of promoting and inhibiting urban economic growth,and exhibits significant small-scale spillover characteristics,while embedding urban knowledge networks universally promotes urban economic growth and exhibits large-scale spillover characteristics.(2)Cities of different scales obtain significantly different benefits in terms of economic growth after embedding in two types of urban networks.Mega cities with a population of less than 10 million are more likely to achieve high economic benefits after embedding in urban economic network.Large and small cities have a high probability of obtaining high economic benefits after embedding into urban knowledge networks and urban economic networks,respectively.Medium-sized cities have no significant advantage in obtaining high economic benefits after embedding into both types of urban networks.(3)Cities in China show regional differences in economic benefits obtained after embedding in both types of networks,as well as local geographic similarity in certain areas.Cities in the eastern coastal and northwestern regions receive the highest economic benefits from urban economic networks,followed by cities in the central and western regions adjacent to eastern coastal and northwestern regions.Other cities in the central and western regions of the inland region receive the lowest economic benefits.The economic benefits obtained by embedding urban knowledge networks show a clear gradient of decreasing from north to south.
万方数据
维普
