Race and Superfund site remediation

Superfund is a federal program established in 1980 to manage the cleanup of hazardous waste sites across the United States. Given the health and economic costs borne by people living near these sites, any demographic disparities within the Superfund program are issues of environmental justice. We investigate whether racial demographics local to a Superfund site are associated with its cleanup status, and if so, how. Our work addresses gaps in the literature by using detailed geospatial processing, comprehensive data, and a more complete set of racial/ethnic categorizations. We study 1,688 Superfund sites across the country. Under a wide variety of modeling scenarios, we consistently find that the proportion of the nearby population that is Asian is negatively associated with the probability of a Superfund site being cleaned up. This association has remained unidentified until now, possibly because earlier research on Superfund sites did not distinguish Asian populations as a separate group. Our result underscores the need for specific measurement and inclusion of diverse populations in environmental studies.

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Institutions

Publication Details

Journal
PNAS Nexus
Published
2024-08-23
DOI
https://doi.org/10.1093/pnasnexus/pgae364
Citations
3
Primary Topic
Environmental Justice and Health Disparities
Type
article
Field-Weighted Citation Impact
3.40

Funders

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article

Race and Superfund site remediation

Shaoyang Ning, Leah Shvedova, Chad M. Topaz, Xizhen Cai et al.
3 citations
PNAS Nexus
Environmental Justice and Health Disparities
3.40
article

Race and Superfund site remediation

Shaoyang Ning, Leah Shvedova, Chad M. Topaz, Xizhen Cai, Berenize Garcia Nueva, Jesse Schumann, Patrick Izidro de Souza
article en
3 citations

Abstract

Superfund is a federal program established in 1980 to manage the cleanup of hazardous waste sites across the United States. Given the health and economic costs borne by people living near these sites, any demographic disparities within the Superfund program are issues of environmental justice. We investigate whether racial demographics local to a Superfund site are associated with its cleanup status, and if so, how. Our work addresses gaps in the literature by using detailed geospatial processing, comprehensive data, and a more complete set of racial/ethnic categorizations. We study 1,688 Superfund sites across the country. Under a wide variety of modeling scenarios, we consistently find that the proportion of the nearby population that is Asian is negatively associated with the probability of a Superfund site being cleaned up. This association has remained unidentified until now, possibly because earlier research on Superfund sites did not distinguish Asian populations as a separate group. Our result underscores the need for specific measurement and inclusion of diverse populations in environmental studies.

PNAS NexusVol. 3(9)
University of Colorado Boulder (US), Williams College (US), Institute for Community Inclusion (US), Office of Diversity and Inclusion (US)
Williams College, National Park Service
Reduced inequalities
Openalex Percentile: Top 7%
Environmental Justice and Health Disparities
3.40
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Race and Superfund site remediation — Shaoyang Ning, Leah Shvedova, et al. · PNAS Nexus (2024) | TGRS Research Map | TGRS