For financial institutions, Scope 3/Financed Emissions is the most significant, often 700x greater than their direct emissions and representing over 90% of their total emissions.
Financed emissions encompass emissions linked to an institution’s investments, lending, and financing activities. These emissions include the Scope 1, 2, and 3 emissions of portfolio companies and financed projects.
To measure financed emissions, financial entities take attribution of the emissions from a proportion of their loans, debts, and investments.
To ensure the correct data is collected and calculated, the Greenhouse Gas Protocol created the “Scope 3: category 15 investments” category, which is a calculation methodology for measuring financed emissions. However, this calculation method had an underdeveloped level of detail for financed emissions calculations, which is why in 2019 the Partnership for Carbon Accounting Financials (PCAF) was adopted as a global standard calculation methodology for financed emissions.
PCAF provides detailed calculation methodologies for various asset classes of financed emissions, including:
Despite these industry efforts to standardize financed emission methodologies, large financial institutions often have millions of loans, investments, or debt holdings, which make the collection and calculation of data a complex process.
Amid the growing emphasis on these disclosures GPs and their underlying portfolio companies face several key challenges when reporting their Scope 3/financed emissions:
Leading GPs are adopting technology-driven strategies to enhance the accuracy, efficiency, and reliability of financed emissions calculations and their emissions profile. By leveraging ESG data management platforms that have advanced carbon accounting capabilities, private market players are:
1. Centralizing Data through technology that can:
2. Ensuring Data Integrity with Audit Trails: Accurate emissions reporting requires transparent and auditable records. GPs are implementing audit logs within their systems to track:
3. Automating Anomaly Detection: To improve data quality, leading financial institutions are integrating automated anomaly detection within their emissions management systems. By setting thresholds, these systems can:
Specialized platforms like ESGTree provide tailored modules for both operational and financed emissions, ensuring that investment firms can efficiently track, calculate, and verify their carbon footprint. As AI-driven data validation and automation tools evolve, financial institutions can further enhance accuracy while reducing administrative burdens.
By integrating these best practices, GPs can move beyond compliance and position themselves as leaders in sustainable finance, aligning their portfolios with global decarbonization goals.
For those seeking a streamlined approach, ESGTree’s advanced carbon calculator can handle all calculations for both your institution and your portfolio. Reach out to us to learn more!
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