Toxic Release Inventory Analysis
Toxic Release Inventory (TRI) analysis uses mandatory facility-level reports of industrial chemical releases to measure how the burden of toxic pollution is distributed across social groups. Rather than counting raw pounds of emissions, which treat a ton of an innocuous solvent the same as a ton of a potent carcinogen, the modern approach weights releases by toxicity and models how they disperse to populations. Michael Ash and T. Robert Fetter's 2004 study showed how the EPA's Risk-Screening Environmental Indicators (RSEI) model, built on TRI, can be used to assign toxicity- and exposure-weighted pollution to neighborhoods and to test for disparities. They found consistent income and racial gradients: lower-income people and African Americans are exposed to more industrial air pollution, both across and within cities. The analysis combines the spatial-disparity logic of environmental justice with a chemical-specific account of harm. The result is a far more defensible burden measure than emission counts alone.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Ash, M., & Fetter, T. R. (2004). Who Lives on the Wrong Side of the Environmental Tracks? Evidence from the EPA's Risk-Screening Environmental Indicators Model. Social Science Quarterly, 85(2), 441-462. · DOI 10.1111/j.0038-4941.2004.08502011.x
- Mohai, P., & Saha, R. (2006). Reassessing Racial and Socioeconomic Disparities in Environmental Justice Research. Demography, 43(2), 383-399. · DOI 10.1353/dem.2006.0017
Curated claims
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Related methods
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