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For most companies and organizations, Scope 3 emissions tend to be the biggest source of emissions in the overall corporate greenhouse gas (GHG) emissions footprint. Scope 3 emissions are indirect emissions resulting from an organization’s upstream and downstream value chain activities. Supply chain emissions expose organizations to regulatory, shareholder, and customer-related risks. There is a growing number of climate-related regulations organizations need to comply with, such as the European Union’s Corporate Sustainability Reporting Directive, the now-final US Securities and Exchange Commission ruling, and new regulations in California, mandating a higher level of accuracy, transparency, and accountability through mandatory disclosure requirements. Also, investors increasingly demand transparency related to GHG emissions, followed by similar expectations from consumers and customers. Often organizations only have limited data available to represent their supply chain activities and convert them into accurate emissions profiles, and in turn rely on assumptions and lower levels of data quality, as defined by the GHG Protocol,1 the most widely used standard for corporate GHG accounting. However, setting achievable, ambitious climate targets and deploying the relevant abatement strategies requires reporting organizations to be able to more accurately account for their Scope 3 emissions.
The GHG Protocol’s Scope 3 Category 1—Purchased Goods and Services, typically one of the most significant Scope 3 categories for organizations, as shown by the Carbon Disclosure Project (CDP),2 requires a particular focus on accurately quantifying Scope 3 related emissions from the materials and services an organization is acquiring. Today, GHG emissions from purchased goods and services are often only estimated due to limited primary (or actual) data being available. Reporting organizations revert to using spend-based activity data and emission factors to calculate their respective emissions. This spend-based approach does not take into account the distinct emission profiles (i.e., the product carbon footprint) of different material and product types, and could lead to either over- or underestimating emissions.
A first step in improving the accuracy of Scope 3 Category 1 emission calculations is a shift from the spend-based approach to a physical activity-based approach, which uses the actual volumetric or weight-based physical quantities of materials and products purchased for each product category. Emissions are then calculated by multiplying physical activity data with secondary or industry-average emission factors, extracted for instance from Life Cycle Assessment (LCA) databases and studies. This approach allows for correlating the emitting activity to an emission factor representative of the actual material or product, instead of simply using a monetary-based value. Emission factors are representative values that relate the quantity of GHG emitted to a proxy measure of activity at an emissions source.1
At the highest level of data quality and accuracy, suppliers will quantify the actual Product Carbon Footprint (PCF) of their products and share the data for use as supplier-specific emission factors in their customer’s Scope 3 footprint calculations. When selling a product or service, a supplier would not only provide user- or warranty-related information, but also the embodied carbon of the product or service. This last step in the data quality hierarchy comes with challenges, but ultimately can provide the pathway to the most accurate emissions accounting and includes approaches for accurately capturing emissions data for each value-added step in the supply chain.
A manufacturing company purchases a polymer-based raw material to be used in its own operations to manufacture plastic components. At the lowest data quality level, the company estimates emissions for the purchased polymer under Scope 3 Category 1 by multiplying the total spend for the material with a spend-based emission factor for a generic plastic. This approach does not take into account the specific type or chemistry of the polymer, the origin of where the material was manufactured, nor any specific processes and material/energy inputs and outputs. The company now improves the accuracy of their emissions calculation by using the actual quantity of purchased polymer, e.g., in kilograms (kg), and multiplying with a secondary emission factor for the same (or, less preferably, a proxy) polymer (in kg CO2e/kg “polymer”). Depending on data availability, the emission factor could represent a global average or reflect the actual country of origin where the company procures the polymer. The emission factor should also have a reasonable alignment with the actual upstream processes used to produce the procured polymer raw material. At the highest accuracy level, the company knows the exact quantity of polymer purchased from Supplier A and Supplier B and multiplies each quantity by the verified PCF calculated and provided by Supplier A and Supplier B, respectively.
Corporate GHG accounting involves the characterization of an organization’s GHG emissions footprint at an organizational level and includes the direct (Scope 1) and indirect emissions (Scope 2 and Scope 3) across an organization’s own operations, as well as its supply chain. The most commonly used GHG corporate accounting framework is the GHG Protocol.1 Several of the regulations referred to above require this type of corporate GHG emission accounting.
LCA is a standardized methodology based on the International Organization for Standardization (ISO) standards ISO 14040 and 14044 to assess the environmental impacts of a product or service across its entire lifecycle, from raw material extraction to end-of-life treatment. It considers not only GHG emissions but also many other potential impact categories, such as ozone depletion, acidification, eutrophication, etc. The methodology can also be applied to projects and even organizational assessments.
PCF focuses on the GHG emissions a product generates from cradle-to-gate, which includes the upstream stages of its lifecycle from raw material extraction and preprocessing, to production, and finally distribution and storage. This type of information can be an input in a corporate Scope 3 GHG inventory, as referred to above under corporate GHG accounting and used as an emission factor for Category 1 Purchased Goods and Services emission calculations. In PCF, product is defined as any good (tangible product) or service (intangible product). LCA methodologies are typically providing the underlying bases for PCF calculations, while various frameworks, methodologies, and standards provide more detailed guidance for PCFs:
Driven by WBCSD, the PACT Pathfinder Framework provides a sector-agnostic, general approach to calculating cradle-to-gate PCFs while building and expanding on existing frameworks and standards. Similar to the GHG Protocol for corporate emission accounting, its aim is to establish the accounting, verification, and data exchange principles to enable auditable, comparable, and consistent product-level emissions data. Other, more industry-specific PCF frameworks are further aiming at streamlining calculation methods depending on product and sector characteristics and aligning with sector relevant decarbonization strategies.
Summarizing the PACT Pathfinder Framework’s main guidelines to generate cradle-to-gate PCFs:
Taking into account these guidelines and principles, the cradle-to-gate PCF calculation is a step-by-step process:
PCFs have the potential of creating critical links between each step of the supply chain to improve accuracy and transparency of product-level emissions and drive forward supply chain decarbonization as a collaborative effort. For an effective approach to getting started with managing product-related GHG emissions data, Guidehouse recommends:
1. GHG Protocol. n.d. “Corporate Value Chain (Scope 3) Accounting and Reporting Standard Supplement to the GHG Protocol Corporate Accounting and Reporting Standard.” https://ghgprotocol.org/sites/default/files/standards/Corporate-Value-Chain-Accounting-Reporing-Standard_041613_2.pdf.
2. “CDP Technical Note: Relevance of Scope 3 Categories by Sector CDP Climate Change Questionnaire.” n.d. https://cdn.cdp.net/cdp-production/cms/guidance_docs/pdfs/000/003/504/original/CDP-technical-note-scope-3-relevance-by-sector.pdf.
3. “Product Life Cycle Accounting and Reporting Standard.” n.d. https://ghgprotocol.org/sites/default/files/standards/Product-Life-Cycle-Accounting-Reporting-Standard_041613.pdf.
4. “Pathfinder Framework Guidance for the Accounting and Exchange of Product Life Cycle Emissions.” n.d. Accessed March 27, 2024. https://www.wbcsd.org/contentwbc/download/15625/226889/1.
5. “The Product Carbon Footprint Guideline for the Chemical Industry Specification for Product Carbon Footprint and Corporate Scope 3.1 Emission Accounting and Reporting.” n.d. Accessed March 27, 2024. https://www.tfs-initiative.com/app/uploads/2024/03/TfS_PCF_guidelines_2024_EN_pages-low.pdf.
6. “Horizon Zero.” n.d. RMI. Accessed March 27, 2024. https://rmi.org/our-work/climate-intelligence/horizon-zero/.
7. European Commission. n.d. “Environmental Footprint Methods.” Green-Business.ec.europa.eu. https://green-business.ec.europa.eu/environmental-footprint-methods_en.
8. ISO. “ISO 14067:2018. Greenhouse gases, Carbon footprint of products.” ISO. August 2018. https://www.iso.org/standard/71206.html.
9. “CO2 AI Product Ecosystem - CDP.” n.d. Www.cdp.net. https://www.cdp.net/en/supply-chain/co2ai-product-ecosystem.
10. “Supplier LOCT.” n.d. Supplier LOCT. https://supplierloct.com/.
11. “Principles for Blockchain-Based Emissions Reporting.” 2022. https://rmi.org/wp-content/uploads/2022/02/principles_for_blockchain_based_emissions_reporting.pdf.
12. Kaplan, Robert S., and Karthik Ramanna. 2021. “Accounting for Climate Change.” Harvard Business Review. November 1, 2021. https://hbr.org/2021/11/accounting-for-climate-change.
Guidehouse is a global consultancy providing advisory, digital, and managed services to the commercial and public sectors. Purpose-built to serve the national security, financial services, healthcare, energy, and infrastructure industries, the firm collaborates with leaders to outwit complexity and achieve transformational changes that meaningfully shape the future.