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Women on boards and bank earnings management: From zero to hero
Abstract
We examine how women on boards influence bank earnings management. Using the likelihood of a board appointing women directors based on a Blau index of gender diversity in each director's total employment connections outside our sample banks for identification, we find an inverted U-shaped relation between women on boards and bank earnings management. Specifically, when there exists only a marginal number of women directors, banks are more likely to manipulate earnings. But, when the number of women directors reaches three or more, bank earnings management declines. This inverted U-shaped impact is intensified if women sit on audit or nomination committees, is moderated if women directors have higher education levels and more board experience, and is unchanged during the 2007–2009 financial crisis. Our results hold when we use alternative measures of bank earnings management, employ GMM estimations and test for alternative hypotheses for the inverted U-shaped relation.
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Cites
Enjoying the Quiet Life? Corporate Governance and Managerial Preferences
Bertrand, M., & Mullainathan, S. (2003) · Journal of Political Economy · doi:10.1086/376950 · Cited by 3,777
Some Effects of Proportions on Group Life: Skewed Sex Ratios and Responses to Token Women
Kanter, R. M. (1977) · American Journal of Sociology · doi:10.1086/226425 · Cited by 3,154
Cited by
Bătae, O. M., Dragomir, V. D., & Feleagă, L. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.125791 · Cited by 432
Khatib, S. F. A., Abdullah, D. F., Elamer, A. A., & Abueid, R. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2665 · Cited by 322
Metadata
- Authors
- Fan, Y., Jiang, Y., Zhang, X., & Zhou, Y.
- Venue
- Journal of Banking & Finance
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 107
- Pages
- 105607
- ISSN
- 0378-4266 (ISSN-L)
- OpenAlex
- W2964755164
- Cited by
- 239
- References
- 2
- FWCI
- 36.81
- Type
- journal article
- Language
- en
- Open access
- closed
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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.