阿布贾环境属性对住宅物业租金价值贡献的评估

O. F. Ayeni, O. Kemiki, N. Popoola, H. Musa
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摘要

环境属性在住宅价格决定中的作用,是以无效属性定价问题为前提的。该研究分析了环境的三种环境属性,如结构、邻里和自然属性,以期确定其享乐价值,从而得出住宅物业的价格。为了达到研究目的,采用估计法从104166个属性中抽取2401个样本;样本量的估计采用50%的估计率,精度范围为±4。本研究采用两套结构化问卷;第一次向产业测量师和估价师公司收集租金价值数据(2008-2019年),第二次对受访者进行问卷调查,使用人口普查和简单随机抽样方法收集环境属性条件的信息。采用享乐回归对数据进行分析。环境属性是基于当前状况和比例量表与平均财产价值一起使用。结果表明,邻里属性对选定区域房产价值的贡献在60.3% -71.6%之间,自然属性的贡献在60.3%-71.7%之间,而结构属性的贡献在66.8%-75.1%之间。混合回归分析的结果进一步表明,环境属性在决定所选地区的财产价值方面的贡献约为70.1%。环境属性,如自然和人工供水、道路、质量墙结构和地板、景观、浴室和路灯,在确定整个研究区域的财产价值方面发挥了重要作用。因此,研究得出的结论是,环境优美的价值应该体现在邻近住宅物业的价格中。建议建筑环境的每一个利益相关者都倡导公共环境设施的质量和均匀分布,这是尼日利亚房地产市场发展的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of the Contribution of Environmental Attributes to Residential Property Rental Value in Abuja
The contribution of environmental attributes in residential price determination is premised on the issue relating to inefficient attributes pricing. The study analysed three environmental attributes such as structural, neighbourhood and natural attributes of the environment with a view to determining its hedonic value upon which residential property price is derived. In order to achieve the aim of the study, a sample size of 2401 was drawn out of 104166 properties using estimation method; 50% estimation rate and precision range of ±4 were adopted in estimating the sample size. The study administered two set of structured questionnaires; one to Estate Surveyor and Valuer firms to collect data on rental values (2008-2019) and second questionnaires were administered on the respondents to collect information on condition of environmental attributes using the census and simple random sampling method technique. Hedonic regression was employed to analyse the data. Environmental attributes were scored based on current condition and ratio scale was used alongside the average property value. The result revealed that neighbourhood attributes contributed between 60.3% -71.6%, natural attributes contributed between 60.3%-71.7% while structural attributes contributed between 66.8%-75.1% in determining the property values across the selected areas. The result of mixed regression analyses further revealed that environmental attributes contributed about 70.1% in determining the value of property in the selected areas. Environmental attributes such as natural and man-made water supply, road, quality wall-structure and floor, landscape, bathroom and streetlight contributed significantly in the determination of property values across the study areas. The study therefore concludes that the value of environmental amenity should be captured in the price of residential properties close to it. It is recommended that every stakeholders in the built environmental advocate for quality and even distribution of common environmental facilities that are key to development of property market in Nigeria.
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