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[2602.00774] A Novel VAE-DML Fusion Framework for Causal Analysis of Greenwashing in the Mining Industry
Summary
This paper presents a novel framework combining Variational Autoencoder and Double Machine Learning for analyzing greenwashing in the mining industry, revealing significant governance effects of equity balance on environmental performance.
Why It Matters
As the mining industry plays a crucial role in resource consumption and environmental impact, understanding the dynamics of greenwashing is vital for sustainable development. This study offers insights into how corporate governance mechanisms can mitigate deceptive environmental practices, contributing to better ecological outcomes.
Key Takeaways
- Equity balance significantly reduces corporate greenwashing behaviors.
- The impact of equity balance on greenwashing varies by region and industry sensitivity.
- Temporal dynamics show the strongest governance effects occur in the current period with diminishing lagged impacts.
- Equity balance influences greenwashing through management pressure, executive stability, and media scrutiny.
- The study employs innovative methodologies to address endogeneity in causal analysis.
Computer Science > Machine Learning arXiv:2602.00774 (cs) [Submitted on 31 Jan 2026 (v1), last revised 23 Feb 2026 (this version, v2)] Title:A Novel VAE-DML Fusion Framework for Causal Analysis of Greenwashing in the Mining Industry Authors:Yuxin Lu, Zhen Peng, Xiqiang Xia, Jie Wang View a PDF of the paper titled A Novel VAE-DML Fusion Framework for Causal Analysis of Greenwashing in the Mining Industry, by Yuxin Lu and 3 other authors View PDF HTML (experimental) Abstract:Against the backdrop of the global green transition and "dual carbon" goals, mining industry chain enterprises are pivotal entities in terms of resource consumption and environmental impact. Their environmental performance directly affects regional ecological security and is closely tied to national resource strategies and green transformation outcomes. Ensuring the authenticity and reliability of their environmental disclosure is thus a core and urgent issue for sustainable development and national strategic this http URL a corporate governance perspective, this study examines equity balance as a fundamental governance mechanism, investigating its inhibitory effect on greenwashing behavior among these enterprises and the underlying pathways involved. Methodologically, the paper innovatively employs a Variational Autoencoder (VAE) and a Double Machine Learning (DML) model to construct counterfactual scenarios, mitigating endogeneity concerns and precisely identifying the causal relationship between equit...
