中国房地产宏观调控政策具有一定的空间异质性影响，然而过去文献较少对该问题进行系统研究。本研究拟构建一个房地产宏观调控对不同区域房地产市场异质性影响的分析框架，解释宏观政策通过不同的传导渠道产生的房地产市场空间异质性反应机制，以及针对少数城市的房地产调控政策所引发的差异性空间影响的机制。本研究将使用过去研究所没有的，更为可信的实证数据，这包括利用大数据方法得到的微观房地产数据，利用PMC指数模型计算的政策变动的时间序列数据。所有数据将被整合为256城市的时空GIS数据库。实证上，本课题将采用较为先进的面板空间计量模型，包括地理加权回归、GVAR模型、地理断点回归等，能够模拟不同房地产调控政策，对不同城市房价带来的空间异质性影响。实证结果还将采用GIS方法，进行时空维度的可视化展示。根据本研究的结论，可以得到一系列优化现行房地产宏观调控的启示，这可为政府优化房地产宏观调控政策，提供学术参考。

China's macro-control of real estate market may lead to the spatial heterogeneous effect. However, it has not been studied systematically by the past literature. This study intends to construct an analysis framework of the heterogenous effects of real estate market of the macro-control policy, which can explain both the spatial heterogeneous mechanisms in the real estate markets through macro policy, and the spatial correlations caused by real estate regulation policy in some particular cities. This study will use more reliable empirical data, including the micro data in real estate market achieving from big data method, and the time series data of policy dynamics calculated by PMC model.All the data will be integrated into a 256 city spatio-temporal GIS database. In empirical study, this study will adopt some newly developed panel spatial econometric model, including geographically weighted regression, GVAR model, geographic regression discontinuity design, etc., which can simulate the spatial heterogeneous effect of housing prices in different cities caused by different macro control policies of real estate market.The empirical results will also use the GIS method to visualize the spatio-temporal dimension.According to the result of this study, we can achieve some implications for optimizing the macro-control of real estate market, which can provide academic reference for policy making.