期刊论文

Influencing factors of housing price differentiation based on the spatial quantile model: A case study of Wuhan City

中文

地理科学进展

1007-6301

2021

40

02

283-292

10.18306/dlkxjz.2021.02.009

国家自然科学基金项目（71673096,41771563,72042020）； 中国博士后基金特别资助项目（2019T12013）~~；

本校为第一机构

住宅价格的变化是关系我国城镇化建设和社会经济高质量发展的重要问题。为探索住宅价格分位点下的影响因素,本文以我国中部国家中心城市——武汉市为例,运用空间分位数模型进行定量分析,同时将两阶段空间自回归模型结果作为对比揭示其优越性。研究表明:①空间分位数模型不仅能考虑住宅价格的空间自相关性,而且还关注了住宅价格的条件分布特征,更为全面地描述微观因素对不同价位住宅的作用效应。②从分位点来看,高住宅价格的空间自相关性强于低住宅价格的;而且影响因素存在波动性和异质性,相比较于两阶段空间自回归的均值结果,空间分位数模型中各因素的影响程度随着分位点的变化出现上升或下降趋...

The change of housing price is an important issue related to urbanization and high-quality social and economic development in China. In order to explore the influencing factors in terms of the quantiles of housing price, this study took Wuhan City as a case, which is the central city of central China, and used the spatial quantile regression (SQR) model for quantitative analysis. The two-stage least squares (2SLS) model result was compared with the SQR model output to reveal its superiority. The research shows that: 1) The SQR model not only can consider the spatial autocorrelation of the hous...