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Cited by 308

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Triangulating Environmental Performance: What Do Corporate Social Responsibility Ratings Really Capture?

Open access
Delmas, Magali A., Etzion, Dror, Nairn-Birch, Nicholas·2013·Academy of Management Perspectives

Abstract

The emergence of socially responsible investing has led to the development of a large number of methodologies for rating corporate social responsibility and to a growing body of research exploring the link between environmental and financial performance. Increased availability of information potentially generates an abundance of riches upon which to base investment decisions, but it also raises issues of commensurability, information overload, and confusion. Using a unique data set combining environmental ratings from three leading purveyors, we identify the principal components of corporate environmental performance. We find that two distinct factors—the environmental processes and practices implemented by firms, and the environmental outcomes they generate—explain 80% of the variance of the data. We also find corporate financial performance to be associated to process but not to outcome measures.

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Metadata

Authors
Delmas, M. A., Etzion, D., & Nairn-Birch, N.
Venue
Academy of Management Perspectives
Published
2013-08
Volume
27
Issue
3
Pages
255-267
ISSN
  • 1558-9080 (ISSN-L)
  • 1943-4529
OpenAlex
W2123772143
Cited by
308
References
6
FWCI
52.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Triangulating Environmental Performance: What Do Corporate Social Responsibility Ratings Really Capture? https://app.cochat.ai/papers/10.5465/amp.2012.0123
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Delmas, M. A., Etzion, D., & Nairn-Birch, N. (2013). Triangulating Environmental Performance: What Do Corporate Social Responsibility Ratings Really Capture? Academy of Management Perspectives. https://doi.org/10.5465/amp.2012.0123

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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.