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Linking ‘toxic outliers’ to environmental justice communities

机译:将“有毒的异常值”与环境正义社区联系起来

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Several key studies have found that a small minority of producers, polluting at levels far exceeding group averages, generate the majority of overall exposure to industrial toxics. Frequently, such patterns go unnoticed and are understudied outside of the academic community. To our knowledge, no research to date has systematically described the scope and extent of extreme variations in industrially based exposure estimates and sought to link inequities in harm produced to inequities in exposure. In an analysis of all permitted industrial facilities across the United States, we show that there exists a class of hyper-polluters—the worst-of-the-worst—that disproportionately expose communities of color and low income populations to chemical releases. This study hopes to move beyond a traditional environmental justice research frame, bringing new computational methods and perspectives aimed at the empirical study of societal power dynamics. Our findings suggest the possibility that substantial environmental gains may be made through selective environmental enforcement, rather than sweeping initiatives.
机译:几项关键研究发现,一小部分生产者的污染水平远远超过了团体平均水平,这些污染物占工业毒物总量的大部分。通常,这种模式不会引起人们的注意,并在学术界之外被忽视。据我们所知,迄今为止,尚无研究系统地描述基于工业的接触估计的极端变化的范围和程度,并试图将产生的危害不平等与接触的不平等联系起来。在对美国所有允许的工业设施进行的分析中,我们发现存在一类最严重的高污染者,它们使有色和低收入人口的社区过度暴露于化学物质释放。这项研究希望超越传统的环境正义研究框架,带来旨在针对社会力量动态进行实证研究的新的计算方法和观点。我们的发现表明,有可能通过选择性的环境执法而不是全面的倡议来取得实质性的环境收益。

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