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.
• A heatmap view is provided to easily identify the main issues within the organization.
• Additional scoring methodology: we introduce a complementary scoring to capture the relative number of contributing data points. For each ecosystem service (ES) and Scope pair, entity's maximum ENCORE materiality score (integer part) is complemented by the relative number of contributing data points (decimal part). The decimal part reflects how many points support the maximum score, scaled according to their distribution across all ES x Scope pairs for that entity. For example, if an entity scores a maximum materiality of 3 for "Pollination x Supply Chain" based on 3 contributing points (out of a possible 4), the score would be 3.66, reflecting both the intensity and support of the dependency.