广州中心城区住宅租金差异的核心影响因素

构建并阐述城市住宅的特征租金理论框架,建立包括建筑特征、便利性特征、环境特征、区位特征在内的"四分法"特征租金模型.以2020年3月广州中心城区23126套待租住宅的挂牌月租金单价为基本数据,通过分级空间统计和空间自相关分析广州中心城区住宅租金的空间差异格局与空间关联性,构建4要素12个指标的广州中心城区住宅租金影响因...

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

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.