Impact Factors of Spatial Differentiation of Housing Prices in China's Cities

被引：0

作者：

Wang, Yang ^{[1
]}

Jin, Lixia ^{[1
]}

Zhang, Hong'ou ^{[1
]}

Wang, Changjian ^{[1
]}

Wu, Kangmin ^{[1
]}

机构：

[1] Guangzhou Inst Geog, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou, Guangdong, Peoples R China

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ECONOMIC AND BUSINESS MANAGEMENT 2016 | 2016年 / 16卷

基金：

中国国家自然科学基金;

关键词：

house; housing prices; spatial differentiation; gray relational degree; impact factors; China;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In order to explore the main driving factors of housing prices in China, we used the data of housing prices in China's 116 cities, and analyzed the impact of 3 factors including housing demand, supply and cost on housing prices based on the method of Gray Relational Degree. The results show that: The land price has the most evident driving effect on the housing price differentiations in China's cities; the driving effects from population aggregation and residential land supply are also very remarkable; the supply-demand theory and cost theory could be adopted simultaneously in explaining the housing price differentiation phenomenon in China.

引用

页码：114 / 119

页数：6

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