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The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.

Board gender diversity and ESG disclosure: evidence from the USA

Manita, Riadh, Bruna, Maria Giuseppina, Dang, Rey, Houanti, L’Hocine·2018·Journal of Applied Accounting Research

Abstract

Purpose: The purpose of this paper is to investigate the relationship between corporate debt-like compensation and the value of excess cash holdings. Design/methodology/approach: The environmental, social and governance (ESG) disclosure score provided by Bloomberg is used as a proxy for the extent of corporate social responsibility (CSR). The empirical analysis is based on a sample of 379 firms that made up the Standard & Poor’s 500 Index over the period 2010-2015. In order to take into account the endogeneity problem between board gender diversity and ESG disclosure, a fixed effect model with lagged board variables is used. Findings: Two main results arise from this study. First, no significant relationship is found between board gender diversity and ESG disclosure. Second, the evidence also partially confirms critical mass theory, as below three female directors the relationship between board gender diversity and ESG disclosure is not statistically significant. However, beyond that, no significant relationship was found. Research limitations/implications: Reasonable theoretical arguments drawn from stakeholder theory suggest that board gender diversity may have a positive effect on ESG disclosure. The empirical evidence presented neither supports, nor denies stakeholder theory. However, the results may be improved by enlarging the frontiers of this research in time and space, increasing the perimeter of qualitative data integrated in this investigation. Practical implications: This paper offers theoretical and empirical arguments for the feminization of corporate boards, not only in the name of equality between women and men and organizational justice, but also in the light of organizational performance (examined through the prism of governance). Transparency, analyzed using the proxy of ESG disclosure, is strongly and positively correlated with a feminization of boards, if the proportion of women is significant and sufficient to be able to prevent and surpass the “invisibilization” phenomenon, which is based on the marginalization of passive ultra-minorities, reduction to silence, marginalization (disqualification of women voice or exit strategy), assimilation or the endorsement of stigma. Originality/value: First, this makes a theoretical contribution to the diversity and governance literature by examining the effect of WOCB on ESG disclosure through the stakeholder theory (Freeman, 2010). Second, the authors contribute to the CSR literature (cf. Byron and Post, 2016) by documenting specifically the effect of board gender diversity on CSR disclosures through ESG. Indeed, ESG research mainly concentrates on firm financial performance (Galbreath, 2013). No study has examined the relationship between WOCB and ESG disclosure. Finally, from an empirical standpoint, an FE model with lagged board variables (Liu et al., 2014) is used to fully address the endogeneity problems in the relationship between WOCB and ESG disclosure that may occur because of differences in unobservable characteristics across firms or reverse causality (Boulouta, 2013).

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Metadata

Authors
Manita, R., Bruna, M. G., Dang, R., & Houanti, L.
Venue
Journal of Applied Accounting Research
Publisher
Emerald
Published
2018-05-14
Volume
19
Issue
2
Pages
206-224
ISSN
0967-5426 (ISSN-L)
OpenAlex
W2794908977
Cited by
601
References
75
FWCI
35.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Board gender diversity and ESG disclosure: evidence from the USA. https://app.cochat.ai/papers/10.1108/jaar-01-2017-0024
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Manita, R., Bruna, M. G., Dang, R., & Houanti, L. (2018). Board gender diversity and ESG disclosure: evidence from the USA. Journal of Applied Accounting Research. https://doi.org/10.1108/jaar-01-2017-0024

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

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