Abstract
The relationship among cities is getting closer, so are housing prices. Based on the sale price of stocking houses in thirty-five large and medium-sized cities in China from 2010 to 2021, this study established the modified gravity model and used the method of social network analysis to explore the spatial linkage of urban housing prices. The results show that: (1) from the overall network structure, the integration degree of housing price network in China is still at a low stage, and the influence of housing price is polarized; (2) from the individual network structure, Beijing, Shanghai, Shenzhen, Nanjing, Hangzhou, and Hefei have a higher degree of centrality. Chengdu, Xining, Kunming, Urumqi, and Lanzhou stay in an isolation position every year; (3) from the results of cohesive subgroup analysis, different cities play different roles in the block each year and have different influences on other cities. (4) Emergencies, such as outbreaks of COVID-19, also have an impact on the housing price network. Structural divergence among urban housing prices has become more pronounced, and the diversity of house price network has been somewhat reduced. Based on the above findings, this paper puts forward some recommendations for the healthy development of housing market from the perspective of housing price network.
Highlights
Housing prices are largely determined by local governments
This paper aims to explore the dynamic changes of the spatial relationship between housing prices in thirty-five large and medium-sized cities in China
This paper adopted a modified gravity model and social network analysis (SNA) to analysis the complex relationship of housing prices with each other in thirty-five large and medium-sized cities in China from 2010–2021
Summary
With the increasing connection between regional economies, especially the development and integration of Beijing-Tianjin-Hebei urban agglomeration, Guangdong-Hong Kong-Macao urban agglomeration, and the Yangtze River Delta urban agglomeration—links of housing prices among different cities became more frequent and diverse than before in China [1]. This kind of relationship makes housing prices in different cities have interdependence and mutual influence [2,3], which is related to geographical distance and related to their level of housing prices. With the impact of the COVID-19 outbreak in 2020 on the global economy and housing market, urban housing prices have shown different responses to the impact of such a public health event, including in China
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