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Cited by 346

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Gender and Environmental Sustainability: A Longitudinal Analysis

Kassinis, George, Panayiotou, Alexia, Dimou, Andreas, Katsifaraki, Georgia·2016·Corporate Social Responsibility and Environmental Management

Abstract

In this paper, we investigate the relationship between gender and environmental sustainability. Based on a sample of 296 firms, drawn from the population of US publicly traded firms over a five‐year period, we empirically test whether firms that have (1) more gender diverse boards of directors and (2) more policies and practices that enable or reinforce gender diversity throughout the organization, adopted more environmentally responsible policies and practices. We find that both ‘demographic’ and ‘structural’ gender diversity are significant predictors of a firm's environmental sustainability initiatives. Our findings show gender diversity is a sustainability issue as well. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment.

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Metadata

Authors
Kassinis, G., Panayiotou, A., Dimou, A., & Katsifaraki, G.
Venue
Corporate Social Responsibility and Environmental Management
Publisher
Wiley
Published
2016-02-03
Volume
23
Issue
6
Pages
399-412
ISSN
  • 1535-3958 (ISSN-L)
  • 1535-3966
OpenAlex
W2254055897
Cited by
346
References
62
FWCI
25.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Gender and Environmental Sustainability: A Longitudinal Analysis. https://app.cochat.ai/papers/10.1002/csr.1386
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Kassinis, G., Panayiotou, A., Dimou, A., & Katsifaraki, G. (2016). Gender and Environmental Sustainability: A Longitudinal Analysis. Corporate Social Responsibility and Environmental Management. https://doi.org/10.1002/csr.1386

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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.