Ownership, regulation, and ESG in transport and logistics: Insights for policy from explainable machine learning

Economics, Econometrics and Finance

• Environmental, Social, and Governance Performance 100%
• Machine Learning 100%
• Sustainable Development 50%
• Panel Study 50%
• Firm Size 50%
• Private Sector 50%
• Capital Intensity 50%
• Executive Compensation 50%
• Ownership Structure 50%
• Fixed Assets 50%
• State-Owned Enterprise 50%
• Artificial Intelligence 50%
• Regulated Industry 50%

Social Sciences

• Explainable Artificial Intelligence 100%
• Explainable Machine Learning 100%
• Environmental, Social, and Governance Performance 66%
• Catboost 66%
• Transport 33%
• Firm Size 33%
• Sustainable Development 33%
• Panel Data 33%
• State Owned Enterprise 33%
• Private Sector 33%
• Capital Intensity 33%
• Executive Compensation 33%
• Nonlinear Relationship 33%