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
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.
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页码:114 / 119
页数:6
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