Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (8): 1924-1938.doi: 10.11821/dlxb202108008

• Urban and Human Health • Previous Articles     Next Articles

The core influencing factors of housing rent difference in Guangzhou's urban district

WANG Yang1,2(), WU Kangmin1,2(), ZHANG Hong'ou1,2   

  1. 1. Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China
    2. Institute of Strategy Research for the Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou 510070, China
  • Received:2020-05-06 Revised:2021-03-26 Online:2021-08-25 Published:2021-10-25
  • Contact: WU Kangmin;
  • Supported by:
    National Natural Science Foundation of China(41871150);Special Project of Institute of Strategy Research for Guangdong, Hong Kong and Macao Greater Bay Area Construction(2020GDASYL-20200201001)


This study constructs a theoretical framework of hedonic rent of urban housing and establishes the elements of housing characteristics suitable for rental housing. The elements include building, convenience, environment, and location characteristics. Based on the monthly data of 23126 houses available for rent in Guangzhou's urban district in March 2020, the spatial difference pattern and spatial correlation of housing rents in the district are analyzed through hierarchical spatial statistics and spatial autocorrelation. We established an index system of housing rent including 12 influencing factors. Through the comparison and selection of three models, the spatial error model is used to measure the influencing factors of housing rent, and the core influencing factors are identified. The results reveal that: (1) The theoretical framework and model of hedonic rent can be used to examine the influencing factors of urban housing rent. (2) Low- and middle-rent houses account for the largest proportion of rental housing in Guangzhou's urban district. Housing rent presents a spatial differentiation pattern that is higher in the core area and lower in the peripheral urban area and old city, with significant spatial agglomeration and correlation characteristics. (3) Four characteristics -- building (building area, orientation & floors, building age, elevator & property management), convenience (metro, office, education convenience), environment (park accessibility, industrial pollution), and location characteristics (distance from central business district (CBD)) -- including 10 factors, have a significant impact on the housing rent difference in Guangzhou's urban district. (4) Building area, building age, and distance from CBD are the three most important core influencing factors for housing rent, followed by elevator and property management and office convenience.

Key words: housing rent, hedonic rent theory, hedonic rent model, rent difference, core influencing factor, Guangzhou