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Cited by 432

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

The impact of board gender composition on dividend payouts

Open access
Chen, Jie, Leung, Woon Sau, Goergen, Marc·2017·Journal of Corporate Finance

Abstract

This paper investigates whether female independent directors are more likely to impose high dividend payouts. We find evidence that firms with a larger fraction of female directors on their board have greater dividend payouts. This finding is robust to alternative econometric specifications, and alternative measures of dividend payouts and female board representation. The positive effect of board gender composition on dividends remains when we employ propensity score matching, the instrumental variable approach, and difference-in-differences approach to address potential endogeneity concerns. Furthermore, we find that board gender composition significantly increases the dividend payout only for firms with weak governance, suggesting that female directors use dividend payouts as a governance device.

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Crossref · 10.1016/j.jcorpfin.2017.01.001

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Metadata

Authors
Chen, J., Leung, W. S., & Goergen, M.
Venue
Journal of Corporate Finance
Publisher
Elsevier BV
Published
2017-04
Volume
43
Pages
86-105
ISSN
0929-1199 (ISSN-L)
OpenAlex
W2530129800
Cited by
432
References
39
FWCI
78.02
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The impact of board gender composition on dividend payouts. https://app.cochat.ai/papers/10.1016/j.jcorpfin.2017.01.001
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Chen, J., Leung, W. S., & Goergen, M. (2017). The impact of board gender composition on dividend payouts. Journal of Corporate Finance. https://doi.org/10.1016/j.jcorpfin.2017.01.001

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.