摘要：以35个大中城市住房价格为研究对象，在构建空间计量模型检验跨区域联动的基础上，借助GVAR模型与网络分析方法，从总体、个体两个层面，考察跨区域联动的具体模式。结果显示：城市住房价格呈现显著的正向跨区域联动；总体层面上，跨区域联动相互交错呈网络结构；个体层面上，单个城市住房价格变动对全国、区域层面住房价格的影响呈现非均质性和空间异质性特征。因此，应深化对住房价格形成机制的认识，以更准确地促进政策目标的实现。

关键词：城市住房价格；全局向量自回归；网络分析；跨区域联动

Abstract：This essay takes the housing price of 35 major cities as the research object，and builds a spatial econometric model to test the trans-regional interaction of urban housing prices. On this basis，starting from the overall and individual levels，uses the GVAR model and network analysis method to investigate the trans-regional interaction’s pattern of urban housing price. The findings are as follows：There is a significant trans-regional interaction among urban housing price. At the overall level，the trans-regional interaction of urban housing prices is interwoven into a network structure. At the individual level，the impact of housing price changes in a single city on global and regional housing prices is unevenness and presents obvious spatial heterogeneity. The policy implication of the above research conclusions is that the government should strengthen the understanding of the urban housing price formation mechanism，and thus promote the realization of relevant policy objectives more accurately.

Keywords：urban housing price；Global Vector Autoregression；network analysis；trans-regional interaction

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