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Cited by 649

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Green Clubs and Voluntary Governance: ISO 14001 and Firms' Regulatory Compliance

Potoski, Matthew, Prakash, Aseem·2005·American Journal of Political Science

Abstract

Voluntary programs have become widespread tools for governments and nongovernmental actors looking to improve industry's environmental and regulatory performance. Voluntary programs can be conceptualized as club goods that provide nonrival but potentially excludable benefits to members. For firms, the value of joining a green club over taking the same actions unilaterally is to appropriate the club's positive brand reputation. Our analysis of about 3,700 U.S. facilities indicates that joining ISO 14001, an important nongovernmental voluntary program, improves facilities' compliance with government regulations. We conjecture that ISO 14001 is effective because its broad positive standing with external audiences provides a reputational benefit that helps induce facilities to take costly progressive environmental action they would not take unilaterally.

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Metadata

Authors
Potoski, M., & Prakash, A.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2005-03
Volume
49
Issue
2
Pages
235-248
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
OpenAlex
W2156751726
Cited by
649
References
47
FWCI
75.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Green Clubs and Voluntary Governance: ISO 14001 and Firms' Regulatory Compliance. https://app.cochat.ai/papers/10.1111/j.0092-5853.2005.00120.x
The paper
Potoski, M., & Prakash, A. (2005). Green Clubs and Voluntary Governance: ISO 14001 and Firms' Regulatory Compliance. American Journal of Political Science. https://doi.org/10.1111/j.0092-5853.2005.00120.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.