基于地理加权回归的我国中东部城市商品房价格的空间特征分析

Spatial Characteristics Analysis of House Price in Central and Eastern China Based on Geographically Weighted Regression

本文基于地理加权回归方法,分析了我国中东部地区主要大中城市商品房价格与人均工资和人口数之间回归关系的空间变化特征。结果表明,我国中东部地区主要大中城市的商品房价格除受地域位置的影响外,工资水平和人口数的影响强度在各地区也存在着显著差异,呈现显著的空间非平稳性。

In this study, the geographically weighted regression （GWR） technique is used to analyze spatial characteristics of the relationship between house price, wages and population in the cities of central and eastern China. The results demonstrate that the impact intensity of wages and population to the house price varies significantly across the region and the regression relationship is spatially non-stationary.