PROGRESS IN GEOGRAPHY ›› 2023, Vol. 42 ›› Issue (1): 42-52.doi: 10.18306/dlkxjz.2023.01.004

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The spatial distribution of NIMBY facilities and housing prices in surrounding areas: A case study of Guangzhou

XIE Dixiang1(), WU Shuqi1, CHANG Jiang2,*()   

  1. 1. School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China
    2. Department of Architecture, Shanghai Academy of Fine Arts, Shanghai University, Shanghai 200444, China
  • Received:2022-05-25 Revised:2022-08-29 Online:2023-01-28 Published:2023-03-28
  • Contact: CHANG Jiang;
  • Supported by:
    National Natural Science Foundation of China(42071176);Science and Technology Plan of Guangdong Province(2020A1010020037);Guangdong Planning Office of Philosophy and Social Science(GD20SQ16)


With the rapid development of cities and the improvement of citizens' environmental awareness in China, tensions and conflicts caused by "Not In My Backyard" (NIMBY) facilities have increased. How to plan NIMBY facilities properly has become an essential issue for promoting environmental justice and social harmony. We obtained the geographic data of the NIMBY facilities in the main urban area of Guangzhou City from the Planning Cloud Platform. Using Python coding, we also collected housing price data from major real-estate brokerage companies. Kriging interpolation was used to analyze the spatial distribution characteristics of the NIMBY facilities. We used both ordinary least squares regression and geographically weighted regression to investigate the relationship between the locations of NIMBY facilities and housing prices in their surrounding areas. Results show that the distribution of NIMBY facilities in the main urban area of Guangzhou is spatially consistent with the distribution of low-income neighborhoods. The NIMBY facilities are mainly distributed around neighborhoods with lower housing prices. The impact of NIMBY facilities on the housing prices of surrounding neighborhoods is related to the type and location of NIMBY facilities. The feature of NIMBY facilities in the urban peripheries negatively impact housing prices. In the core urban area, however, good location, infrastructure, and public services have, to some extent, canceled out the negative impacts of NIMBY facilities on housing prices. The impact of stigma related NIMBY facilities on housing prices is significantly lower than that of pollution, high safety risk, and psychological distress related NIMBY facilities. This study provides scientific guidelines for urban NIMBY planning.

Key words: NIMBY facilities, environmental justice, geographically weighted regression, housing price, Guangzhou