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Urban and Peri-Urban Residential Rental Markets in Wallonia: Similar or Different?
Applied Spatial Analysis and Policy ( IF 2.043 ) Pub Date : 2019-07-12 , DOI: 10.1007/s12061-019-09312-8
Marko Kryvobokov , Sébastien Pradella , François Des Rosiers

Residential rents are analysed in the Walloon region in Belgium. In this region, affected by urban sprawl, households rent accommodation in urbanised areas as well as in their peripheries. While there is no statistical difference between the average observed rents per square meter in urban agglomerations and suburbs, does it mean that these areas compose a single market with identical rent determinants? Or that the same level of rents is determined by different drivers? The paper analyses the regional territorial structure and aims at determining the geographical rental submarkets based on urban / peri-urban delimitation. Traditional ordinary least squares (OLS) and geographically weighted regression (GWR) techniques are applied. With the latter method, the spatial autocorrelation in the residuals decreases, but remains significant. Particular attention is payed to the spatial distribution of the GWR coefficients. The Chow test and the weighted standard error provide an evidence of the existence of spatial-structural submarkets in the agglomerations and in the peri-urban areas in the biggest residential urban complexes of the region. The calculated market rent of a hypothetical standardized dwelling reveals a substantial dissimilarity between two areas: the rent of a typical dwelling is higher in peri-urban zones, up to 43.5% according to the OLS and up to 17.7% according to the GWR. With more recent dataset, we found that this tendency, which contradicts the classical urban theory, increases in time.

中文翻译:

瓦隆的城市和城郊住宅租赁市场:相似还是不同?

分析了比利时瓦隆地区的住房租金。在该地区,受城市扩张的影响,家庭在城市化地区及其周边地区租房。尽管城市群和郊区的平均每平方米平均租金之间没有统计差异,但这是否意味着这些地区构成了具有相同租金决定因素的单一市场?还是相同的租金水平是由不同的驱动因素决定的?本文分析了区域地域结构,旨在根据城市/郊区划分来确定地理租金子市场。应用传统的普通最小二乘(OLS)和地理加权回归(GWR)技术。使用后一种方法,残差中的空间自相关减小,但仍然很重要。特别要注意GWR系数的空间分布。Chow检验和加权标准误差为该地区最大的住宅城市综合体的集聚区和近郊地区存在空间结构子市场提供了证据。假设的标准化住宅的市场租金计算显示出两个地区之间存在很大的差异:典型住宅的租金在城市周边地区较高,根据OLS最高可达43.5%,而根据GWR最高可达17.7%。使用最新的数据集,我们发现与古典城市理论相矛盾的这种趋势随着时间的推移而增加。Chow检验和加权标准误差为该地区最大的住宅城市综合体的集聚区和近郊地区存在空间结构子市场提供了证据。假设的标准化住宅的市场租金计算显示出两个地区之间存在很大的差异:典型住宅的租金在城市周边地区较高,根据OLS最高可达43.5%,而根据GWR最高可达17.7%。使用最新的数据集,我们发现与古典城市理论相矛盾的这种趋势随着时间的推移而增加。Chow检验和加权标准误差为该地区最大的住宅城市综合体的集聚区和近郊地区存在空间结构子市场提供了证据。假设的标准化住宅的市场租金计算显示出两个地区之间存在很大的差异:典型住宅的租金在城市周边地区较高,根据OLS最高可达43.5%,而根据GWR最高可达17.7%。使用最新的数据集,我们发现与古典城市理论相矛盾的这种趋势随着时间的推移而增加。在城市周边地区,典型住宅的租金较高,根据OLS最高可达43.5%,而根据GWR最高可达17.7%。使用最新的数据集,我们发现与古典城市理论相矛盾的这种趋势随着时间的推移而增加。在城市周边地区,典型住宅的租金较高,根据OLS最高可达43.5%,而根据GWR最高可达17.7%。使用最新的数据集,我们发现与古典城市理论相矛盾的这种趋势随着时间的推移而增加。
更新日期:2019-07-12
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