Examining the Effects of the Built Environment on Housing Rents in the Pearl River Delta of China
Examining the Effects of the Built Environment on Housing Rents in the Pearl River Delta of China
复制标题
考察中国珠三角地区建成环境对住房租金的影响
DOI：
10.1007/s12061-021-09412-4
复制
发表时间：
2021-07
影响因子：
1.9
通讯作者：
Zhang Hong'ou
中科院分区：
文献类型：
--
作者：
Wang Yang;Wu Kangmin;Zhao Yabo;Wang Changjian;Zhang Hong'ou
租金水平是当地住房市场的核心指标。虽然现有的研究已经审查了影响当地租金水平的各种因素，但没有系统的研究建筑环境对住房租金的影响。本文从五个理论角度探讨了建筑环境影响租金的机制。以中国珠江三角洲为例，采用混合土地利用（MLU）、公共服务水平（PSL）、高层建筑（HRB）和空气污染（AP）4个指标分别表征当地建成环境的土地利用、公共设施和服务、建筑规模和健康舒适度4个方面。空间回归和地理检测器技术相结合，以说明建筑环境对住房租金的重大影响。Moran's I检验的结果显示珠三角地区租金存在显著的空间自相关性。通过空间回归分析，得出土地利用混合程度、高层住宅比例、大气污染对住宅租金有负向影响。与此相反，公共服务设施的密度对住房租金产生积极影响。这些发现与理论预测一致。地理探测器技术表明，四个方面的建成环境对住房租金的影响是显着不同的。AP对房屋租金的影响最大。我们的研究结果显示，建筑环境是影响本地房屋市场的重要因素。决策者在制定城市发展战略和制定地方住房发展计划时，应认真考虑改善建筑环境。
Rent levels are a core indicator of the local housing market. Although existing studies have examined various factors influencing local rent levels, there is no systematic research on the impacts of the built environment on housing rents. This paper examines the mechanisms by which the built environment affects rents from five theoretical perspectives. Taking the Pearl River Delta (PRD) of China as a case study, four indicators—mixed land use (MLU), public service level (PSL), high-rise buildings (HRB), and air pollution (AP)—are used to represent the four aspects of the local built environment, namely, land use, public facilities & services, architectural scale, and health & comfort, respectively. The spatial regression and geodetector techniques are combined to illustrate the significant impacts of the built environment on housing rents. The results of Moran's I test reveal the existence of significant spatial autocorrelation of rents in the PRD. From the spatial regression analysis, this paper concludes that the degree of mixing of land use, the proportion of high-rise residential buildings, and the air pollution negatively impact housing rents. In contrast, the density of public service facilities positively affects housing rents. These findings are in line with the theoretical projections. The geodetector technique indicates that the effects of the four aspects of the built environment on housing rents are significantly different. AP has the strongest influence on housing rents. Our findings show that the built environment is an important factor affecting the local housing market. Improving the built environment should be carefully considered by decision-makers when they formulate cities' development strategies and draw up local housing development plans.
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影响因子：
2.9
作者：
Black, Angela;Fraser, Patricia;Hoesli, Martin
通讯作者：
Hoesli, Martin
影响因子：
1.9
作者：
Lei Zhang;Jinhyun Hong;Arefeh A. Nasri;Qing Shen
通讯作者：
Lei Zhang;Jinhyun Hong;Arefeh A. Nasri;Qing Shen
影响因子：
7.1
作者：
Niusha Esmaeilpoorarabi;Tan Yigitcanlar;Mirko Guaralda;M. Kamruzzaman
通讯作者：
Niusha Esmaeilpoorarabi;Tan Yigitcanlar;Mirko Guaralda;M. Kamruzzaman
DOI：
10.1080/01944363.2016.1249011
发表时间：
2017-12-01
影响因子：
5.6
作者：
Gurran, Nicole;Phibbs, Peter
通讯作者：
Phibbs, Peter
影响因子：
8.2
作者：
TIEBOUT, CM
通讯作者：
TIEBOUT, CM