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Accessibility and environmental quality: inequality in the Paris housing market

机译:可达性和环境质量:巴黎住房市场的不平等

摘要

In this paper we examine empirically the market for local amenities in the Paris metropolitan region.We find first that there is considerable inequality in the spatial distribution of these local amenities,including accessibility, environmental and social indicators. We use a spatial representation and Lorenzcurves to examine the degree of inequality in these amenities, and this provides evidence that someamenities (or disamenities) are much more inequitably distributed than others. The most extremelyunequally distributed amenities are noise (due to its concentration near airports), “Redevelopment Areas”,presence of water (lakes and rivers) and forests, and presence of train and subway stations. Someindicators, such as the “Poulit accessibility” measure, were by contrast remarkably constant over theregion. We recognize that local amenities should be capitalized into the housing market, and explore thewillingness to pay of households for these amenities within the Paris region using alternativespecifications of a location choice model. One of the core questions we examine is the spatial scale of theamenity effects and how this is captured in a location choice context. By estimating models at both acommune and at a grid cell level, we obtain new insights into how households in the Paris region trade offamenities against each other and against housing cost. We find that the residential location choice modelfits the data moderately better at the smaller scale of the grid cell compared to the commune.
机译:在本文中,我们从经验上考察了巴黎大都市地区的当地便利设施市场。首先,我们发现这些地方便利设施的空间分布中存在相当大的不平等,包括可及性,环境和社会指标。我们使用空间表示法和Lorenzcurves来检验这些便利设施中的不平等程度,这提供了一些便利(或不适)的分布不均的证据。分布最不均匀的设施包括噪音(由于其集中在机场附近),“再开发区”,水(湖泊和河流)和森林的存在以及火车站和地铁站的存在。相比之下,诸如“ Poulit可达性”措施之类的指标在该地区则表现出相当稳定的表现。我们认识到应该将本地便利设施资本化到住房市场,并使用位置选择模型的替代规范探索巴黎地区内家庭为这些便利设施付费的意愿。我们研究的核心问题之一是舒适性效果的空间尺度以及如何在位置选择环境中捕获这种效果。通过在公社和网格单元级别上估计模型,我们获得了有关巴黎地区家庭如何相互买卖住房和住房成本的新见解。我们发现,与公社相比,住宅位置选择模型在较小规模的网格单元中更适合数据。

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