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

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Shakil, Mohammad Hassan, Pollestad, Arne Johan, Kyaw, Khine, Munim, Ziaul Haque
Format:	Preprint
Publié:	2025
Sujets:	General Finance Computers and Society Machine Learning 62P20
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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