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The role of board gender and foreign ownership in the CSR performance of Chinese listed firms

Open access
McGuinness, Paul B., Vieito, João Paulo, Wang, Mingzhu·2017·Journal of Corporate Finance

Abstract

China's recent promotion of Corporate Social Responsibility (CSR) has coincided with a marked increase in the number of Chinese listed firms attracting female board members and foreign equity investors. Using Rankins' (RKS) ratings over the 2009 to 2013 period, we show that greater gender balance in top-management supports stronger CSR performance. This finding broadens gender-based accounts emphasizing social networks (Westphal and Milton, 2000), Critical Mass Theory (Kramer et al., 2006; Bear et al., 2010; and Soares et al., 2011) and team dynamics (Woolley et al., 2010; and Hoogendoorn et al., 2013). Findings also reveal stronger CSR performance in firms where a female officer is present at the CEO and/or vice-CEO level. Female leadership thus appears to be just as important as gender mix in driving CSR change. Our findings shed new light and add further dimension to the nascent literature on gender and CSR-engagement in China (Lau et al., 2016; and Liao et al., 2016).

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Metadata

Authors
McGuinness, P. B., Vieito, J. P., & Wang, M.
Venue
Journal of Corporate Finance
Publisher
Elsevier BV
Published
2017-02
Volume
42
Pages
75-99
ISSN
0929-1199 (ISSN-L)
OpenAlex
W2546636161
Cited by
939
References
136
FWCI
60.84
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The role of board gender and foreign ownership in the CSR performance of Chinese listed firms. https://app.cochat.ai/papers/10.1016/j.jcorpfin.2016.11.001
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McGuinness, P. B., Vieito, J. P., & Wang, M. (2017). The role of board gender and foreign ownership in the CSR performance of Chinese listed firms. Journal of Corporate Finance. https://doi.org/10.1016/j.jcorpfin.2016.11.001

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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.