It is the basic logic and general keynote for China’s housing credit policy adjustment to be implemented according to local conditions. As one of the most active regions in China's economic development, it is of great significance to study the spatial relationship and influence mechanism of housing prices in the Yangtze River Delta. Based on the panel data of 26 cities in the Yangtze River Delta from 2002 to 2018, an analysis has been made of the spatial correlation of the selling prices of commercial housing in the Yangtze River Delta region by using the global Moran index, Moran index scatter diagram and Lisa cluster diagram. The results show that the housing prices in the Yangtze River Delta present a significant positive spatial correlation, i.e., showing an aggregation distribution in space. The spatial pattern of housing prices in some cities has changed significantly during this period, with Jinhua City changing from L-H to H-H type, while Hefei and Wuxi changing from L-L to H-L type. Then the spatial error model is used for an analysis of the influencing factors of housing prices in the Yangtze River Delta from the perspective of supply and demand, with the estimated results showing that there is a certain degree of linkage between housing prices in the Yangtze River Delta region. Viewd from the perspective of the supply, the impact of real estate development investment on housing prices in the Yangtze River Delta is not significant, while the sales area of commercial housing has a significant negative impact on the price of the Yangtze River Delta, a relatively small impact compared with population density and urbanization rate. From the perspective of demand, the population density and urbanization rate, which reflect the population factors, have a relatively strong significant positive impact on house prices, whearas the per capita disposable income of urban residents exerts no significant impact on housing prices in the Yangtze River Delta.