通过安卡拉大都市区案例评估住房次级市场

Tuğba KÜTÜK
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摘要

住房市场由具有不同住房特征的异质产品组成。由于住房市场的异质性,将其划分为不同的同质群体,特别是具有相似空间,环境和物理特征的子市场,而不是单一的同质市场,可以更好地分析住房市场。本文以安卡拉目前的住房供应为例,对住房子市场进行了探讨。在此背景下,本文考察了对整个城市的分析是否反映了现实的房价结构。此外,它还寻求一个问题的答案,即以社区平均家庭收入为基础的社会经济次级市场和以地区位置为基础的空间次级市场是否对安卡拉具有决定作用。数据收集自土耳其最大的房地产网站之一,内容是2021年1月至9月期间安卡拉九个中心区的待售住宅单元。数据采用hedonic回归模型进行分析。实证结果表明,虽然单个市场不能有效地反映真实的价格结构,但区域区位和社区平均家庭收入确实会影响每个子市场的住房价格。每个子市场都有自己的动态,每个子市场的房价结构取决于不同的变量。对安卡拉来说,空间子市场比社会经济子市场更具解释力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Konut Alt Piyasalarının Ankara Metropolitan Alanı Örneği Üzerinden Değerlendirilmesi
The housing market consists of heterogeneous products with different housing characteristics. Due to its heterogeneity, the housing market is better analyzed by dividing it into different homogeneous groups, especially submarkets with similar spatial, environmental and physical characteristics, rather than a single homogeneous market. This article discusses the housing submarkets by using the current housing supply in Ankara. In this context, it investigates whether the analysis for the city as a whole reflects a realistic housing price structure. Moreover, it seeks an answer the question of whether socio-economic submarkets based on average household income by neighborhood and spatial submarkets based on location by district are determinant for Ankara. Data were collected from one of Turkey's largest real estate websites on the dwelling units being advertised for sale in the nine central districts of Ankara between January and September 2021. Data were analyzed by hedonic regression model. Empirical results reveal that although a single market does not effectively reflect a realistic price structure, location by districts and average household income by neighborhood do affect the price of housing in each submarket. Each submarket has its own dynamics and the housing price structure in each submarket depends on different variables. For Ankara, spatial submarkets have more explanatory power than socio-economic submarkets.
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