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Cited by 294

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Assessing the Performance of Voluntary Environmental Programs: Does Certification Matter?

Darnall, Nicole, Sides, Stephen·2008·Policy Studies Journal

Abstract

The promotion of voluntary environmental programs (VEPs) as alternative approaches to traditional environmental regulation has fueled numerous researchers to evaluate VEP performance. However, these studies have focused on assessing the environmental performance of a single VEP. As yet, we know little about the overall environmental benefits of these programs. Moreover, questions remain about whether VEPs designed with different monitoring regimes—related to whether programs are self‐monitored or undergo external certification—vary in their ability to improve environmental conditions. Using meta‐analysis methodology, this article evaluates the aggregated environmental outcomes of U.S. VEPs drawing on data from nine studies and over 30,000 firms. We show that collectively VEP participants do not improve their environmental performance over nonparticipants. Rather, nonparticipants improve their environmental performance by 7.7 percent more than VEP participants. Additionally, nonparticipants improve the environment 24 percent more than participants in self‐monitored VEPs, whereas participants in International Standards Organization 14001 as a group exhibit inconclusive environmental performance improvements.

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Crossref · 10.1111/j.1541-0072.2007.00255.x

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Metadata

Authors
Darnall, N., & Sides, S.
Venue
Policy Studies Journal
Publisher
Wiley
Published
2008-02
Volume
36
Issue
1
Pages
95-117
ISSN
  • 0190-292X (ISSN-L)
  • 1541-0072
OpenAlex
W3124690259
Cited by
294
References
4
FWCI
52.95
Type
journal article
Language
en
Open access
closed

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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.