Environmental Inequality Research Research Articles

Assessment of sociodemographic disparities in environmental exposure might be erroneous due to neighborhood effect averaging: Implications for environmental inequality research

The neighborhood effect averaging problem (NEAP) is a major methodological problem that might affect the accuracy of assessments of individual exposure to mobility-dependent environmental factors (e.g., air/noise pollution, green/blue spaces, or healthy food environments). Focusing on outdoor ground-level ozone as a major air pollutant, this paper examines the NEAP in the evaluation of sociodemographic disparities in people’s air pollution exposures in Los Angeles using one-day activity-travel diary data of 3790 individuals. It addresses two questions: (1) How does the NEAP affect the evaluation of sociodemographic disparities in people’s air pollution exposures? (2) Which social groups with high residence-based exposures do not experience neighborhood effect averaging? The results of our spatial regression models indicate that assessments of sociodemographic disparities in people’s outdoor ground-level ozone exposures might be erroneous when people’s daily mobility is ignored because of the different manifestations of neighborhood effect averaging for different social/racial groups. The results of our spatial autologistic regression model reveal that non-workers (e.g., the unemployed, homemakers, the retired, and students) do not experience downward averaging: they have significantly lower odds of experiencing downward averaging that could have attenuated their high exposures experienced in their residential neighborhoods while traveling to other neighborhoods (thus, being doubly disadvantaged). Therefore, to avoid erroneous conclusions in environmental inequality research and ineffective public policies, it would be critical to take the NEAP into account in future studies of sociodemographic disparities related to mobility-dependent environmental factors.

Neighbours matter: A nation-wide small-area assessment of environmental inequality in Germany

This study investigates the presence of environmental inequality in Germany and analyses its spatial pattern on a very fine grained level. Using the 2011 German census and pollution measures of the E-PRTR, the study relies on nearly 100,000 one squared km census cells over Germany. SLX and community-fixed SLX models incorporate spatial spillover-effects into the analysis to account for the spatial distribution of socio-demographic characteristics. Results reveal that the share of minorities within a census cell indeed positively correlates with the exposure to industrial pollution. Furthermore, spatial spillover effects are highly relevant: the characteristics of the neighbouring spatial units matter in predicting the amount of pollution. Especially within urban areas, clusters of high minority neighbourhoods are affected by high levels of environmental pollution. This highlights the importance of spatial clustering processes in environmental inequality research.

Racial Inequality in the Distribution of Hazardous Waste: A National-Level Reassessment

National-level studies examining racial disparities around hazardous waste treatment, storage, and disposal facilities have been very influential in defining the academic and political debates about the existence and importance of “environmental injustice.” However, these studies tend to employ methods that fail to adequately control for proximity between environmentally hazardous sites and nearby residential populations. By using GIS and applying methods increasingly used in environmental inequality research that better control for proximity, we conduct a comprehensive reassessment of racial inequality in the distribution of the nation's hazardous waste facilities. We compare the magnitude of racial disparities found with those of prior studies and test competing racial, economic, and sociopolitical explanations for why such disparities exist. We find that the magnitude of racial disparities around hazardous waste facilities is much greater than what previous national studies have reported. We also find these disparities persist even when controlling for economic and sociopolitical variables, suggesting that factors uniquely associated with race, such as racial targeting, housing discrimination, or other race-related factors are associated with the location of the nation's hazardous waste facilities. We further conclude that the more recent methods for controlling for proximity yield more consistent and definitive results than those used previously, and therefore argue for their wider utilization in environmental inequality research.

Environmental Racial Inequality in Detroit

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.

ASSESSING ENVIRONMENTAL INEQUALITY: HOW THE CONCLUSIONS WE DRAW VARY ACCORDING TO THE DEFINITIONS WE EMPLOY

ABSTRACT This article demonstrates that the conclusions environmental inequality researchers draw vary according to the definitions of environmental inequality they employ and that researchers can use a single set of results to test for the existence of multiple forms of environmental inequality. In order to illustrate these points, I set forth five definitions of environmental inequality, list the kinds of evidence we must obtain in order to determine whether each form of environmental inequality exists, and show how conclusions drawn from several recent environmental inequality studies vary depending on the definition of environmental inequality we employ. My goal is not to show that any one definition is superior to the others; nor am I trying to generalize from the studies reported here to a broader set of research findings. Instead, my goal is to a) show that we can use a single set of results to address a variety of environmental justice concerns and b) demonstrate that our interpretations of environmental inequality research have been too narrowly focused on one set of environmental inequality outcomes.

The Unintended Significance of Race: Environmental Racial Inequality in Detroit

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.