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This article addresses shortcomings in the literature on environmental inequality by (a) setting forth and testing four models of environmental inequality and (b) explicitly linking environmental inequality research to spatial mismatch theory and to the debate on the declining significance of race. The explanatory models ask whether the distribution of blacks and whites around environmental hazards is the result of black/white income inequality, racist siting practices, or residential segregation. The models are tested using manufacturing facility and census data from the Detroit metropolitan area. It turns out that the distribution of blacks and whites around this region's polluting manufacturing facilities is largely the product of residential segregation which, paradoxically, has reduced black proximity to manufacturing facility pollution.

This paper examines the role that gender, occupational status, and family status play in moderating the effect of industrial activity on the psychological well-being of nearby residents. Using a unique spatial assessment of industrial activity and an environmental risk/social stressor framework in conjunction with individual-level data from the Detroit Area Study (DAS) and demographic data from the U.S. census, we find that residents of neighborhoods in close proximity to industrial activity report elevated levels of psychological distress compared to residents of neighborhoods removed from this type of activity. These influences are more pronounced among women but gender differences are also contingent upon occupational and family statuses. We show that specific combinations of work and family statuses make persons particularly vulnerable to the influence of this environmental stressor and women are two and a half times more likely than men to have these vulnerable statuses. This study makes an important contribution to the environmental health literature because it reminds researchers of the fundamental influence of social roles when examining the link between environmental risks and mental health. [ABSTRACT FROM AUTHOR]

This study uses industrial pollution data from the Environmental Protection Agency's Toxics Release Inventory (TRI) and tract-level demographic data from the 2000 U.S. census to determine whether environmental racial inequality existed in the Detroit metropolitan area in the year 2000. This study differs from prior environmental inequality research in two important ways. First, it offers a positive rationale for using hazard proximity indicators. Second, it uses a distance decay modeling technique to estimate hazard proximity. This technique weights each hazard's estimated negative effect by distance such that the estimated negative effect declines continuously as distance from the hazard increases, thus providing more accurate estimates of proximity-based environmental risk than can be obtained using other variable construction techniques currently found in the literature. Using this technique, I find that Detroit's black neighborhoods were disproportionately burdened by TRI facility activity in 2000 and that neighborhood racial composition had a strong independent effect on neighborhood proximity to TRI activity. [ABSTRACT FROM AUTHOR]