Pollution and Credit Quality: Exploring the Relationship Between Environmental Pollution and Credit Ratings in US States

ABSTRACT Objectives This study aims to examine the impact of environmental pollution on the credit ratings of state governments, a relationship that has been understudied in previous studies. Methods We utilize S&P credit ratings and Toxics Release Inventory (TRI) dataset to examine the relationship between pollution and the credit ratings of state governments from 2000 to 2019 (20 years). To address endogeneity problems, specifically reverse causality or simultaneous bias, this article uses the control function method with instrumental variables. Results We find that environmental pollution negatively affects the credit ratings of state governments. Moreover, our study also finds that environmental pollution has a lag‐effect on state's credit ratings. Conclusions The findings expand the literature on credit ratings by providing empirical evidence that environmental pollution is an essential determinant in the state's credit ratings.

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Publication Details

Journal
Social Science Quarterly
Published
2025-03-01
DOI
https://doi.org/10.1111/ssqu.70013
Primary Topic
Energy, Environment, Economic Growth
Type
article
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article

Pollution and Credit Quality: Exploring the Relationship Between Environmental Pollution and Credit Ratings in US States

K.W. Lee
Social Science Quarterly
Energy, Environment, Economic Growth
article

Pollution and Credit Quality: Exploring the Relationship Between Environmental Pollution and Credit Ratings in US States

K.W. Lee
article en

Abstract

ABSTRACT Objectives This study aims to examine the impact of environmental pollution on the credit ratings of state governments, a relationship that has been understudied in previous studies. Methods We utilize S&P credit ratings and Toxics Release Inventory (TRI) dataset to examine the relationship between pollution and the credit ratings of state governments from 2000 to 2019 (20 years). To address endogeneity problems, specifically reverse causality or simultaneous bias, this article uses the control function method with instrumental variables. Results We find that environmental pollution negatively affects the credit ratings of state governments. Moreover, our study also finds that environmental pollution has a lag‐effect on state's credit ratings. Conclusions The findings expand the literature on credit ratings by providing empirical evidence that environmental pollution is an essential determinant in the state's credit ratings.

Social Science QuarterlyVol. 106(2)
University of Tennessee at Martin (US), University of Kentucky (US)
Openalex Percentile: Top 92%
Energy, Environment, Economic Growth
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