Investing in the Age of AI
Regulatory ComplianceArticles

Particulate Matter Emissions Is An Issue Companies of All Sizes Must Address

Published: April 7, 2022
Modified: April 7, 2022
Key Takeaways

Small and mid cap companies have an important part to play in meeting EU Taxonomy objectives

The World Health Organization (WHO) is using World Health Day to place an emphasis on clean air. Businesses have a crucial role to play in reducing air pollution. Understandably, it is often large companies that are singled out as needing to do more, but our data indicate that the impact of smaller companies on air quality is potentially significantly under-appreciated. Fewer than 2% of publicly listed companies disclose their particulate matter emissions, one of the most harmful air pollutants. As a percent of total companies by category, more large cap companies than mid or small caps report on their particulate matter emissions, and consequently, of those which report, large caps account for 49% of emissions.

However, when we adjust for the number of companies reporting, our data suggest that small and mid cap companies account for 86% of particulate matter emissions. Reporting on and monitoring progress is an important step to reducing emissions and helping to put us all on a path to having a more sustainable future and more sustainable companies. It is important that the regulatory pressure on sustainability disclosures does not only focus on the very largest companies.

 

Research and Insights

Latest news and articles

Market Insights

The New ESG: Energy, Sovereignty, Geostrategy

Explore how sovereignty, energy security, and geopolitical risk are redefining resilience in a world of fragile supply chains.

Private Markets

Private Markets in 2026: Macro Trends and What They Mean for Deal Flow

Private markets in 2026 are undergoing a profound structural shift, moving away from a capital advantage to an information advantage. 

AI

Are We Using AI for the Right Tasks?

Session 2 of the AI & Data Quality Series AI capabilities are advancing rapidly, but real-world adoption tells a different story. Research shows that while AI could theoretically automate a large share of tasks in many professions, the reality of day-to-day usage is far more limited. In high-stakes fields like finance, the biggest barriers are…