Supply Chain Carbon Footprinting Quick Reference Guide
The Supply Chain Carbon Footprinting Quick Reference Guide is a concise, action-oriented resource that outlines standardized methodologies, data requirements, and best practices for quantifying greenhouse gas (GHG) emissions across upstream (Scope 3 Category 1–4, 6–9) and downstream (Scope 3 Category 10–12) supply chain activities. It aligns with the GHG Protocol Corporate Value Chain (Scope 3) Standard and supports organizations in identifying emission hotspots, prioritizing reduction initiatives, and enhancing transparency for stakeholders. The guide emphasizes practicality—providing tiered approaches (e.g., spend-based vs. activity-based), data quality tiers, and common pitfalls in footprinting accuracy.
📖 Overview
📑 Key Components
🎯 Applications
- ✓ Science-Based Target Setting (SBTi)
- ✓ ESG Reporting & Regulatory Compliance (e.g., CSRD, SEC Climate Rules)
- ✓ Sustainable Procurement Strategy Development
📐 Key Formulas
Spend-Based Emission Estimate
Emissions = Total Spend (USD) × Emission Factor (tCO₂e/USD)
Estimates Scope 3 emissions using financial expenditure data and industry-average or region-specific emission factors from databases like EXIOBASE or DEFRA.
Activity-Based Emission Estimate
Emissions = Activity Data × Emission Factor (tCO₂e/unit)
Calculates emissions using measured physical activity data (e.g., kg of steel purchased, km trucked) multiplied by relevant lifecycle-based emission factors (e.g., from IPCC, Ecoinvent, or GHG Protocol databases).
Data Quality Rating (DQR)
DQR = (R + T + C + A) / 4
A composite score (0–100%) evaluating data quality across four dimensions: Representativeness (R), Temporal Correlation (T), Completeness (C), and Accuracy/Transparency (A), each scored 0–100% per GHG Protocol guidance.
🔗 Related Concepts
📚 References
📐 Prerequisites
Understand these before this topic
🔗 Engineering Applications
See how this applies across industries