Iceberg Data Lab - Dependency Scores
Data category
- Environmental data
- Research data
The data offers solutions for:
- Environmental impact analysis and insight
- Investment decisions and portfolio insight
- Nature-based information
- Nature-based information: Biodiversity
- Nature-based information: Land use
- Nature-based information: Water
- Reporting: TNFD
Who are the data users?
- Financial institutions
- Investors
What asset class does the data cover?
- Fixed income
- Listed equity
- Private equity
- Real assets
- Real estate
Brief description of the data offering
While IDL’s Corporate Biodiversity Footprint (CBF) assesses the impact of companies on ecosystems and biodiversity, it is equally important to consider a company's reliance on ecosystem services from a risk and opportunities perspective.
IDL measures an issuer’s dependence on ecosystem services:
- Regulating services (natural phenomena moderating water cycles e.g. carbon storage, water purification)
- Provisioning services (tangible goods or resources obtained from ecosystems e.g. wood, crops, water)
- Cultural services (benefits obtained from ecosystems e.g. recreation).
To provide an extra level of granularity, IDL model maps then an issuer’s revenues per sector to the 25 ecosystem services.
Two metrics are available:
- Revenue Dependency on Ecosystem Score (%): to assess a company's average exposure to ecosystem service dependencies.
- Average High Dependency Score (%): to assess the percentage of activities exposed to potential high financial risks due to a high reliance on any individual ecosystem service.
Where and how do you source your data?
Company-reported data and sustainability reports, when available and reliable. If company data is not available or incomplete, IDL models the data using sector-, commodity-, and geography-specific parameters.
Open-source databases provided by governments, central banks, and scientific organizations.
Life Cycle Assessment (LCA) databases and financial/environmental datasets for product-level impacts.
Physical flows and input-output models (such as our proprietary Wunderpus model) to estimate emissions through the entire value chain, covering scopes 1, 2, and 3 for high granularity and sector comparability.
Independent scientific studies and internationally recognized frameworks (e.g., IPCC, IEA, SBTi, TNFD, PBAF) for methodologies and benchmark data.
What is the cost for your data offering?
Pricing depends on coverage requirements, and can be provided upon request at [email protected]