基于SNA视角的长三角城市群房价关联网络研究

Study on the Housing Price Correlation Network of the City Groups in the Yangtze River Delta Region from the SNA Perspective

厘清长三角地区城市间房价关联关系对长三角地区房地产健康发展有着举足轻重的作用,文章基于2011—2020年长三角41个城市数据,运用引力模型和社会网络分析(SNA)方法对长三角城市间商品住宅价格关联网络进行研究。结果表明长三角城市间房价存在关联现象,构成较为稳定的关联网络,但关联度还不高。上海、苏州、无锡、南京等城市是网络的中心,影响长三角地区房价变动,苏北地区和安徽大部分地区位于网络边缘,房价影响力不足。城市间房地产投资、居民购买力、经济发展、第三产业比例以及省份差异对城市间房价关联有显著影响。最后根据长三角房价关联网络特征提出完善房地产调控政策建议。

Clarifying the relationship of housing prices among cities in the Yangtze River Delta region is important for the healthy development of the property sector in this region. Based on the data of 41 cities in the Yangtze River Delta from 2011 to 2020, the paper uses gravitational model and social network analysis(SNA) method to correlate commercial housing prices among cities in the Yangtze River Delta. The results show that there is a correlation between housing prices in the Yangtze River Delta cities, forming a relatively stable correlation network, but the correlation degree is not high. Shanghai, Suzhou, Wuxi, Nanjing and other cities are the centers of the network, which affects the changes of housing prices in the Yangtze River Delta. Northern Jiangsu and most of Anhui are on the periphery of the network, and the influence of housing prices is insufficient. Inter-city property investment, residents′ purchasing power, economic development, proportion of the tertiary industry and provincial differences have a significant impact on the inter-city housing price relationship. Finally, based on the characteristics of the Yangtze River Delta housing price correlation network, suggestions for improving property regulation policies are put forward.