most citedBoard gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

q-fin.GN2026★ 5 cited

Board gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI

Mohammad Hassan Shakil, Arne Johan Pollestad, Khine Kyaw +1

With European Union initiatives mandating gender quotas on corporate boards, a key question arises: Is greater board gender diversity (BGD) associated with better emissions perform…