Understanding Firm Environmental Violations: A Theory‐Informed Machine Learning Study
This study investigates the risk structure of firm environmental violations by integrating the GONE framework—Need, Opportunity, Greed, and Exposure—with explainable machine learning methods. Using dataset of Chinese A‐share listed companies from 2010 to 2022, we develop a nonlinear prediction framework and show that...