Dependencies Assessment

Methodology

• ENCORE dataset (2024 update) on dependency materiality ratings for economic activities is used for materiality scores and value chain mapping (upstream and downstream).
• We link this dataset to 2 categories of collected data managed within the platform: monetary data and product data (including commodities).
  • Regarding monetary data, the mapping between EXIOBASE products and ENCORE economic activities stems from combining the mapping of EXIOBASE industries to ENCORE economic activities (provided directly by ENCORE) with the mapping of EXIOBASE industries to EXIOBASE products (provided by EXIOBASE).
  • For product data (and commodities), the mapping between ecoinvent products and ENCORE economic activities was carried out based on the sectoral product classification provided by ecoinvent. For Agribalyse mapping was done manually.
• ENCORE's modeling of the economic activities value chain, which includes 2 tiers upstream and 2 tiers downstream, has been incorporated.
• As a result, for each product or monetary data point, materiality ratings levels for the 25 ecosystem services, covering both direct operations (Scope 1) and indirect operations upstream and downstream (5 sectors in Tier 1 and 25 in Tier 2) are available, totalling 1525 dependency materiality ratings for each data point.
• Dependency assessment is conducted at the level of each entity. The maximum dependency rating considering all entity's data points is returned by scope and by ecosystem service.
• At the root entity level (the highest-level entity in the project), a heatmap view is provided to easily identify the main issues within the organization.

Score methodology

For each ecosystem service (ES) × Scope pair, the dependency score is a real number:

• Integer part — the maximum ENCORE materiality score for the entity within that ES × Scope pair.
• Decimal part — reflects the number of input points contributing to that maximum score, positioned within the distribution of contributing-point counts across all the entity's ES × Scope pairs.

The decimal part depends on the maximum number of contributing points observed across the entity's pairs:

For example, a maximum materiality of 3 for Pollination × Supply Chain supported by 3 contributing points (where 3 is the maximum across the entity's pairs) gives a score of 3.66 — reflecting both the intensity and the support of the dependency.