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Cited by 252

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Collective Action through Voluntary Environmental Programs: A Club Theory Perspective

Prakash, Aseem, Potoski, Matthew·2007·Policy Studies Journal

Abstract

Voluntary environmental programs are institutions that seek to induce firms to produce positive environmental externalities beyond what government regulations require. Drawing on club theory, this paper outlines a theoretical perspective to study the relationship between program design and program effectiveness. Effective programs have rule structures that mitigate two central collective action problems inherent in producing positive environmental externalities: attracting firms to participate in the program and ensuring that participating firms adhere to program obligations. Because program efficacy can be undermined by collective action problems associated with free riding and shirking, effective voluntary clubs should be designed to mitigate these challenges.

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Crossref · 10.1111/j.1541-0072.2007.00247.x

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Metadata

Authors
Prakash, A., & Potoski, M.
Venue
Policy Studies Journal
Publisher
Wiley
Published
2007-11
Volume
35
Issue
4
Pages
773-792
ISSN
  • 0190-292X (ISSN-L)
  • 1541-0072
OpenAlex
W1526330077
Cited by
252
References
48
FWCI
14.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Collective Action through Voluntary Environmental Programs: A Club Theory Perspective. https://app.cochat.ai/papers/10.1111/j.1541-0072.2007.00247.x
The paper
Prakash, A., & Potoski, M. (2007). Collective Action through Voluntary Environmental Programs: A Club Theory Perspective. Policy Studies Journal. https://doi.org/10.1111/j.1541-0072.2007.00247.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.