This paper used network analysis method to construct the economic spillover network of 21 cities in Sichuan Province, and measures the network relevance and centrality through some relevant indicators. Combined with QAP quadratic assignment procedure regression method, this paper studied the key influencing factors of regional economic spatial correlation of Sichuan Province. The empirical results show: The economic spatial correlation network of each city has certain stability and hierarchy, but it does not integrate both the high and low disparity areas. The Club effect exists in the regional economic development of the province. The economic spillover effect between cities and states is not only related to the regional spatial adjacency, but also significant affected by the regional development pattern and the industrial structure difference. Moreover, the macroeconomic downturn also has a significant impact on spatial correlation.
By drawing on the concept of sustainable economic development, this study advances the research on debt sustainability in the economic literature. We explore the correlation between local government debt and regional economic growth in 30 provinces in China. Previous studies have established that the development of economic growth between regions is not independent and we, therefore, investigate the spatial effect of regional economic growth due to the existence of a spatial spillover effect or spatial expansion among regions. Using Moran’s scatter plot, a Local Indicator of Spatial Association (LISA) map, and a semiparametric spatial model (SE-SDM), our results demonstrate the following: (1) the spatial agglomeration effect has a significant influence on regional economic growth; (2) the relationship between local government debt and regional economic growth presents nonlinear characteristics, rather than having an inverted U-shaped relationship; (3) the semiparametric spatial model more accurately characterizes in the nonlinear relationship between local government debt and regional economic growth compared to a basic regression model and the spatial Durbin model; and (4) when the scale of local government debt exceeds a certain level, economic growth will be suppressed by the crowding-out of private investment and the reduction of public expenditure.
The authors use the Moran's I index to test the univariate spatial correlation of trade and investment from china in "the Belt and Road" areas and construct spatial lag panel models for export, import and investment in two weighted matrices: geo-distance and economic disparities to analyze the spatial spillover effects and find that the area that close to china in trade and economic affect have more significant spatial correlation, the spatial spillover effects of Europe of export and import from china are significant, which in Africa and Latin are poor, the southeast Asia regions have positive import spillover effects, yet the export and investment spatial lags are negative of south Asia, and only the export spatial model is significant both in the middle and west Asia.
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