Abstract
This paper collects panel data from the real estate markets of 35 large and medium-sized cities in China from 2009 to 2018, combines geographic regions and economic indicators, constructs a dynamic gravitational space weight matrix, and calculates Moran's I and Local Moran's I indexes to determine whether there is a spillover effect between cities. Finally, the dynamic spatial Dubin model is used to study the spatial spillover effect of China's urban housing prices and the degree of influence of various factors on China's housing price spillover effects under different weight matrices.The results show that the housing prices of 35 large and medium-sized cities in China are roughly in a ladder-like pattern of high in the southeast and low in the northwest; the housing prices of the 35 cities have obvious positive spatial correlation.
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