Emmi’s methodology for emissions estimations allows a series of business metrics, like revenue and geography, to predict Scope 1, 2, and 3 emissions. We do this using Machine Learning. Our models are trained on 6,000 public companies that have reported and verified emissions, which can then extrapolate to correlation factors for any company in the world.
Carbon Emissions footprint estimations
Financed Emissions
Lets say Beta Super invested 5% of their $1billion super fund into Acme Steel. What is financed emissions of this investment?
Acme Steel Inc has an enterprise market value of $1.5billion, so the owned attribution of Acme’s emissions (or ownership) is 3.3%. Multiplying that attribution by Acme Steel Scope 1+2 footprint of 10.1million gives us 330,300 tonnes of financed emissions for Beta Super’s investment into Acme Steel. If Scope 3 is needed based on your regulatory standard, then the financed emissions would be 805,200 tonnes of financed emissions for Beta Super’s investment into Acme Steel.
Emmi's methodology for financed emissions is to use our carbon emissions footprint estimates, and apportion the percentage of those emissions to the financial institution based on the level of ownership of equity or debt of the asset. Our financed emissions methods follow the Partnership for Carbon Accounting Financials.
Emmi’s methodology for emissions estimations allows a series of business metrics, like revenue and geography, to predict Scope 1, 2, and 3 emissions. We do this using Machine Learning. Our models are trained on 6,000 public companies that have reported and verified emissions, which can then extrapolate to correlation factors for any company in the world.
Say hello to Acme Steel Inc.
They’re a 6,000 person company, based in Australia.
Acme is used throughout as a worked example.
Jump to other methodology outlines
Say hello to Acme Steel Inc.
They’re a 6,000 person company, based in Australia.
Acme is used throughout as a worked example.
