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RESEARCH RELEASE
Global Corporate Emissions Show First Decline
Our latest research reveals the first documented decline in listed company emissions, marking a potential turning point in global corporate decarbonisation. Released ahead of COP29, our white paper "Estimating The Corporate Carbon Footprint: A Meta-Model Machine Learning Approach" analyses emissions across 45,000 public companies.
Utilising advanced machine learning techniques, we estimate Scope 1, 2, and 3 emissions where disclosure gaps exist. This approach addresses a critical market need - with only 17% of listed companies currently reporting comprehensive emissions data.
Key Findings:
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Global listed company emissions: 11.4bn tonnes (one-third of global fossil-fuel emissions)
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First observed decline: 2.5% reduction in 2023
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Projected trajectory: 20% reduction by 2030 if trend continues
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Model validation demonstrates high accuracy in carbon-intensive sectors
This research is particularly relevant as mandatory climate disclosure requirements commence globally in 2025. Our methodology helps investors understand their true exposure and manage transition risk effectively.
The white paper details our Meta-Model machine learning approach, validation methods, and implications for investment decision-making. Download it below.
More metric-specific details coming soon...
Download the full White Paper
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