Uncovering corporate greenwashing: a predictive model based on Chinese heavy-pollution industries

What is it about?

This research addresses the issue of corporate greenwashing, where companies falsely claim to be environmentally responsible. Focusing on Chinese heavy-pollution industries, the study employs machine learning techniques to develop predictive models for identifying such deceptive behavior. By analyzing various data sources, the models improve prediction accuracy by over 20% compared to benchmark models, providing stakeholders with a valuable tool to combat greenwashing. The research not only enhances understanding of greenwashing but also offers practical applications in emerging economies beyond China. Its findings can inform policies promoting corporate responsibility and sustainable development. This study stands out for its proactive approach in utilizing machine learning to predict greenwashing, marking a significant contribution to the field.

Featured Image