2021
DOI: 10.1016/j.frl.2020.101734
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The effect of board gender diversity on corporate social performance: An instrumental variable quantile regression approach

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Cited by 47 publications
(31 citation statements)
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“…Some studies suggest no relation whatsoever [6,[52][53][54]. The aggregate level CSP, however, suggests an overall positive relationship with outcomes of firms [55][56][57][58][59][60][61][62][63][64]. We hypothesize on the bases of positive findings of the broader concept of CSR and gender diversity as follows:…”
Section: Corporate Social Performance and Board Gender Diversitymentioning
confidence: 96%
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“…Some studies suggest no relation whatsoever [6,[52][53][54]. The aggregate level CSP, however, suggests an overall positive relationship with outcomes of firms [55][56][57][58][59][60][61][62][63][64]. We hypothesize on the bases of positive findings of the broader concept of CSR and gender diversity as follows:…”
Section: Corporate Social Performance and Board Gender Diversitymentioning
confidence: 96%
“…Different variables are worked out for moderation and mediation, which suggests the path of influence of BGD on CSP. For example, Boulouta [64] have worked out renewable energy as a mediator in this regard in the oil and gas industries. The pattern of the previous studies depicts the generalization of results obtained on the bases of datasets from firms of specific industries, which poses the issue of robustness as different industries have different characteristics and institutional context [65,66].…”
Section: Industry Effectmentioning
confidence: 99%
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“…In the presence of an endogenous treatment variable, an instrumental variable quantile regression (IVQR) model has been widely applied in empirical studies (e.g., Bruna et al, 2020;Chang et al, 2018;Sanglestsawai et al, 2014). For example, using the IVQR model and farm-level survey data from the Philippines, Sanglestsawai et al (2014) estimated the heterogeneous yield effects of Bt corn adoption and found that lower-yielding farmers benefit more from Bt corn adoption than high-yielding farmers.…”
Section: Model Selectionmentioning
confidence: 99%
“…For example, using the IVQR model and farm-level survey data from the Philippines, Sanglestsawai et al (2014) estimated the heterogeneous yield effects of Bt corn adoption and found that lower-yielding farmers benefit more from Bt corn adoption than high-yielding farmers. By estimating the IVQR model, Bruna et al (2020) showed that the impact of board feminization on corporate social performance is nonlinear and changes along the quantiles of the performance distribution. However, the IVQR model relies on conditional quantile regression (CQR) in estimations, which offers a narrow interpretation of the heterogeneous effects of cooperative membership because the distributions of farm financial performance indicators are assumed to explicitly depend on the level of other conditional variables in the quantiles.…”
Section: Model Selectionmentioning
confidence: 99%