Working Paper: NBER ID: w14409
Authors: Hyunhoe Bae; Peter Wilcoxen; David Popp
Abstract: The Toxics Release Inventory (TRI) was expected to reduce health risks stemming from emissions of hazardous chemicals by increasing public pressure on polluters. However, it is a massive and complex dataset, requiring significant expertise to interpret in its raw form. State governments have attempted to mitigate the TRI's information processing burden on the public via two types of policies: (1) selection and dissemination of raw TRI data for plants within the state, and (2) data processing activities producing more refined reports and analysis. This study assesses the effectiveness of those policies. Our results show that state-level data dissemination efforts lowered the total number of pounds of chemicals released, but had little effect on health risks. State-level data processing efforts, in contrast, did lead to significant reductions in health risks. We conclude that simple dissemination of the data was ineffective (and even counterproductive in some instances), and that the states' data processing efforts have played a critical role in achieving the TRI's underlying goal.
Keywords: No keywords provided
JEL Codes: D80; Q50; Q53; Q58
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| State TRI dissemination efforts (H73) | toxic release levels (Q52) |
| State TRI dissemination efforts (H73) | toxic risk (Q53) |
| State data processing efforts (C80) | toxic risk (Q53) |
| State data processing efforts (C80) | toxic release levels (Q52) |