Acta Geographica Sinica ›› 2016, Vol. 71 ›› Issue (8): 1329-1342.doi: 10.11821/dlxb201608004

• Orginal Article • Previous Articles     Next Articles

Spatial differentiation patterns and influencing mechanism of housing prices in China: Based on data of 2872 counties

Shaojian WANG1(), Yang WANG2,3(), Xueqin LIN4, Hong'ou ZHANG2,3   

  1. 1. Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    2. Guangzhou Institute of Geography, Guangzhou 510070, China
    3. Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou 510070, China
    4. College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China
  • Received:2015-12-09 Revised:2016-03-06 Online:2016-08-25 Published:2016-08-30
  • Supported by:
    National Natural Science Foundation of China, No.41401164;The Fundamental Research Funds for the Central Universities, No.37000-31610426

Abstract:

In contemporary China, housing price has become the vital issue, which attracted considerable attention from the governments and inhabitants. However, there are relatively few studies on spatial differentiation of housing prices in China at the county level. In addition, there is no unanimous conclusion on the main factors influencing spatial differentiation of housing price. To meet this deficiency, using spatial autocorrelation and kernel density function, this study examines the spatial differentiation pattern, spatial correlation characteristics and the distribution shape of housing prices in China, and constructs the 'Pyramid of Housing Price Grade' based on the average housing prices of China's counties in 2014. Furthermore, a housing price model is established according to the demand-supply-market theory in order to explore the impact factors, and intensity differences of the influencing factors are also analyzed. The main conclusions are as follows: (1) There exists significant spatial correlation and agglomeration of housing prices in China's counties, and the differentiation patterns are featured by the administrative grade and the spatial agglomeration simultaneously; (2) The housing prices present pyramid-ranked distribution in China. This finding indicates that the higher the housing price, the less the urban population. (3) The proportion of rental households, scale of the floating population, housing affordability, housing market activity and the cost of land are five core influencing factors of housing prices in China's counties. The intensities of these influencing factors vary across administrative grade sub-markets.

Key words: housing prices, influencing factors, influencing mechanism, spatial differentiation, county unit, China