Department of Geographical Science, University of Maryland, College Park, Maryland20742, United States.
School of Finance & Management, SOAS University of London, LondonWC1H 0XG, U.K.
Environ Sci Technol. 2023 Feb 7;57(5):2019-2030. doi: 10.1021/acs.est.2c04302. Epub 2023 Jan 24.
Although quantitative environmental (in)justice research demonstrates a disproportionate burden of toxic chemical hazard risks among racial/ethnic minorities and people in low socioeconomic positions, limited knowledge exists on how racial/ethnic and socioeconomic groups across geographic spaces experience toxic chemical hazards. This study analyzed the spatial non-stationarity in the associations between toxic chemical hazard risk and community characteristics of census block groups in Texas, USA, for 2017 using a multiscale geographically weighted regression. The results showed that the percentage of Black or Asian population has significant positive associations with toxic risk across block groups in Texas, meaning that racial minorities suffered more from toxic risk wherever they are located in the state. By contrast, the percentage of Hispanic or Latino has a positive relationship with toxic risk, and the relationship varies locally and is only significant in eastern areas of Texas. Statistical associations between toxic risk and socioeconomic variables are not stationary across the state, showing sub-state patterns of spatial variation in terms of the sign, significant level, and magnitude of the coefficient. Income has a significant negative association with toxic risk around the Dallas-Fort Worth-Arlington Metropolitan Statistical Area. Proportions of people without high school diploma and the unemployment rate both have positive relationships with toxic risk in the eastern area of Texas. Our findings highlight the importance of identifying the spatial patterns of the association between toxic chemical hazard risks and community characteristics at the census block group level for addressing environmental inequality.
尽管定量环境(不)公正研究表明,在种族/族裔少数群体和社会经济地位较低的人群中,有毒化学危害风险的负担不成比例,但对于不同地理空间中的种族/族裔和社会经济群体如何体验有毒化学危害知之甚少。本研究使用多尺度地理加权回归分析了 2017 年美国德克萨斯州普查街区组的有毒化学危害风险与社区特征之间的空间非平稳性。结果表明,在德克萨斯州的街区组中,黑人和亚裔人口的比例与有毒风险呈显著正相关,这意味着无论他们在该州的哪个地方,少数族裔都遭受着更多的有毒风险。相比之下,西班牙裔或拉丁裔人口比例与有毒风险呈正相关,这种关系具有局部性,仅在德克萨斯州的东部地区具有显著性。有毒风险与社会经济变量之间的统计关联在全州范围内是非稳定的,显示了在符号、显著性水平和系数幅度方面的次州空间变化模式。收入与达拉斯-沃斯堡-阿灵顿都会统计区周围的有毒风险呈显著负相关。未完成高中学业的人数比例和失业率都与德克萨斯州东部地区的有毒风险呈正相关。我们的研究结果强调了在普查街区组层面识别有毒化学危害风险与社区特征之间关联的空间模式的重要性,以解决环境不平等问题。