JOURNAL ARTICLE

Corporate Political Connections and Favorable Environmental Regulatory Enforcement.

  • Published In: Management Science (INFORMS), 2023, v. 69, n. 12. P. 7838 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Heitz, Amanda; Wang, Youan; Wang, Zigan 3 of 3

Abstract

This article investigates whether the U.S. Environmental Protection Agency (EPA) enforces the Clean Air Act (CAA) differently for politically connected firms compared to unconnected ones, using a regression discontinuity design focused on close federal elections. The study finds no significant difference in EPA investigations between the two groups but shows that politically connected firms face fewer penalties and lower fines, especially when connected to powerful politicians or firms important to those politicians by location, industry, or campaign contributions. Additionally, firms tend to donate more to politicians with weaker environmental commitments, and the favorable enforcement diminishes when political connections are lost. These findings provide systematic evidence that campaign contributions can indirectly benefit firms through reduced environmental regulatory enforcement and penalties.

Additional Information

  • Source:Management Science (INFORMS). 2023/12, Vol. 69, Issue 12, p7838
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2023
  • ISSN:0025-1909
  • DOI:10.1287/mnsc.2020.3931
  • Accession Number:174253170
  • Copyright Statement:Copyright of Management Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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