arXiv q-fin· Mohammad Hassan Shakil, Arne Johan Pollestad, Khine Kyaw, Ziaul Haque Munim·· 2 days agoAI Score23
Board Gender Diversity and Emissions Performance: Findings from Panel Regression, Machine Learning, and Explainable AI
Board gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI
AI summary
A study of European firms from 2016 to 2022, combining panel regression, machine learning, and explainable AI methods, finds a nonlinear relationship between board gender diversity and emissions performance: emissions performance begins to improve significantly when female director representation reaches a minimum threshold of approximately 22%, and further increases in female representation beyond an optimal level of approximately 35% do not yield additional emissions performance gains.
Source:arXiv q-fin · arxiv.org