PROGRESS IN GEOGRAPHY ›› 2017, Vol. 36 ›› Issue (8): 995-1005.doi: 10.18306/dlkxjz.2017.08.008

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Impact of public services on housing prices in different functional spaces:A case study of metropolitan Chengdu

Shaoyao ZHANG1,2(), Xueqian SONG3, Wei DENG1,2,*()   

  1. 1. Institute of Mountain Hazards and Environment/ Research Center for Mountain Development,CAS, Chengdu 610041, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3.College of Management, Chengdu University of Information Technology, Chengdu 610225, China
  • Online:2017-08-31 Published:2017-08-28
  • Contact: Wei DENG;
  • Supported by:
    National Natural Science Foundation of China, No.41471469, No.41601141;Presidential Foundation of the Chinese Academy of Sciences, China(2017);Soft Science Research Projects of Science and Technology Office of Sichuan Province, No.2015ZR0115


In China, the rise of housing prices has become one of the most pressing issues that residents encountered in recent years and received considerable attention. Regulating housing prices and preventing them from overheating have become an urgent question in some regions. This study examined the impact of public service provision on the spatiotemporal patterns of housing prices and its explanatory power in Chengdu City, Sichuan Province. A dataset of Chengdu housing prices and selected public service factors were constructed for the year 2016, and geographical detector technique was adopted in this study. The results indicate that the average housing price was 8480 yuan/m2 in Chengdu in 2016, and it showed a progressive decrease from the city center to the suburbs between the traffic circles and along the radial arteries, forming the circular and radial patterns. In general, housing prices were high in the western and southern parts while low in the eastern and north parts of the city. The impact of public service provision (mainly health care, financing, and education services) on housing prices was most pronounced in the third circular zone and southwest of the downtown area, where it was higher than the overall impact in Chengdu downtown areas. The impact of public services on housing prices was significantly affected by the difference of spatial functions in different zones. Differences in public service provision and spatial functions will further deepen the differentiation pattern of housing prices, and promote the overheating of local property prices. We argue that a better understanding of the influence of public services on housing prices will help Chinese policymakers not only to formulate traditional financial and economic policies, but also to optimize spatial functions and public services.

Key words: housing price, public service, spatial function, geographical detector technique, Chengdu City