Spatial-Temporal Differentiation and Spatial Interaction Effect Analysis of Residents’ Consumption Capacity and Consumption Upgrading in China

To investigate Chinese residents’ consumption capacity and upgrading, this study uses the Moran index, Dagum Gini coefficient method, SPVAR model to analyze spatial-temporal differentiation interactions between two; entropy method is employed measure development level of both factors. As per results, from 2008 2020, levels upgrading have increased rapidly are distinctly unbalanced, but there a clear trend convergence developments in each province, show spatial agglomeration, mainly “high–high” “low–low” clusters. The clusters primarily concentrated more economically developed eastern coastal central fast-rising regions, with inter-regional differences being main reason for regional two. In terms interaction, two Granger causalities, positive feedback effects that promote other, “center–periphery” spillover effect, where center generates also suffers reverse shocks periphery, while shock effect limited by inter-provincial economic ties geographical distance.