Meeting Urban Housing Needs: Do People Really Come to the Nuisance?

Brooks M. Depro, C. Timmins, Maggie O’Neil
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引用次数: 7

Abstract

Understanding the forces that lead to correlations between pollution exposure, poverty, and race is crucial to the formation of sound environmental justice (EJ) policy. In particular, what are the roles of disproportionate siting of pollution sources versus post-siting housing market dynamics (e.g., "white flight")? Empirical analysis of post-siting dynamics has yielded mixed evidence. We demonstrate that this is because the models traditionally used to analyze it are not capable of identifying individual responses to pollution exposure. We address this limitation in two ways. First, we show how additional structure can be used along with traditional EJ data to recover behavioral parameters describing market dynamics. Second, we show how market dynamics can be directly observed using a new and distinctive data set that describes the decisions of individual homebuyers and details their circumstances (including pollution exposure) both before and after their moves. An application of the first approach shows that whites are more likely to flee TRI exposure in Los Angeles County than are other minority groups - particularly Hispanics, who constitute a plurality and the largest group of people of color. The second approach shows that whites are both more likely to flee and less likely to come to the nuisance, compared with all other groups (particularly Hispanics). Importantly, these results contrast with those of a traditional EJ analysis, which fails to provide any consistent evidence of post-siting dynamics. If the moving patterns we recover with our two models persist over time, we would expect to see higher percentages of minority residents (particularly Hispanics) living in closer proximity to L.A. County TRI plants, lending support to the post-siting market dynamics hypothesis.
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满足城市住房需求:人们真的会来找麻烦吗?
了解导致污染暴露、贫困和种族之间相互关系的力量,对于形成健全的环境正义(EJ)政策至关重要。特别是,污染源选址不成比例与选址后的住房市场动态(例如“白色外逃”)的作用是什么?对选址后动态的实证分析得出了不同的证据。我们证明,这是因为传统上用于分析它的模型不能识别个体对污染暴露的反应。我们通过两种方式解决这个限制。首先,我们展示了如何将附加结构与传统的EJ数据一起使用,以恢复描述市场动态的行为参数。其次,我们展示了如何使用一个新的和独特的数据集来直接观察市场动态,该数据集描述了个人购房者的决策,并详细说明了他们在搬家前后的情况(包括污染暴露)。第一种方法的一项应用表明,在洛杉矶县,白人比其他少数族裔更有可能逃离TRI暴露,尤其是西班牙裔,他们构成了多数人,也是有色人种中最大的群体。第二种方法表明,与所有其他群体(尤其是西班牙裔)相比,白人更有可能逃离,更不可能受到滋扰。重要的是,这些结果与传统的EJ分析结果形成对比,后者未能提供任何关于选址后动态的一致证据。如果我们用两个模型恢复的移动模式持续一段时间,我们预计会看到居住在洛杉矶县TRI工厂附近的少数族裔居民(特别是西班牙裔)的比例会更高,这将支持选址后市场动态假说。
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