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Enregistrement W4386245777 · doi:10.1002/ieam.4816

Why process-level Scope 3 accounting is needed for delivering supply chain greenhouse gas emission reduction

2023· editorial· en· W4386245777 sur OpenAlexaff
Mia Emborg, Shannon M. Lloyd, Stig Irving Olsen

Notice bibliographique

RevueIntegrated Environmental Assessment and Management · 2023
Typeeditorial
Langueen
DomaineEnvironmental Science
ThématiqueRecycling and Waste Management Techniques
Établissements canadiensConcordia University
Organismes subventionnairesnon disponible
Mots-clésScope (computer science)Greenhouse gasBusinessSupply chainEuropean unionDirectiveSustainabilityAccountingFinanceEnvironmental economicsEconomicsEconomic policyMarketing

Résumé

récupéré en direct d'OpenAlex

Until recently, companies have mainly focused on the reporting and reduction of direct emissions from their own operations (Scope 1) and those generated from purchased electricity (Scope 2). However, the need to accelerate reductions of greenhouse gas (GHG) emissions in response to the climate crisis has led to an increased focus on those emissions generated from corporations' supply chains—Scope 3 emissions. Taking responsibility for Scope 3 emissions has been encouraged for more than a decade, yet this has not been accompanied by significant supply chain emission reductions (Patchell, 2018). Introducing process-level GHG emission accounting into the existing Scope 3 reporting framework offers a promising means for identifying activities that drive supply chain emissions, ensuring that reduction efforts can be prioritized within organizations, rather than having the responsibility cascade down the supply chain. Scope 3 emissions account for as much as three-quarters of total emissions (CDP, 2023) and are reportedly more than 11 times higher, on average, than direct operating emissions (CDP, 2021). Recognizing the importance of reducing these emissions, governments, investors, and other key stakeholders are increasingly requiring Scope 3 disclosure and target setting. Soon, the European Union (EU) Corporate Sustainability Reporting Directive will require large European companies and third-country companies with significant business volume in the EU to disclose Scope 3 emissions (the European Parliament and the Council of the European Union, 2022). The United States Securities and Exchange Commission (SEC) proposed climate disclosure rule would require disclosure of Scope 3 emissions when deemed material to investors or when the company has Scope 3 emissions targets. Introducing process-level GHG emission accounting into the existing Scope 3 reporting framework offers a promising means for identifying activities that drive supply chain emissions. The GHG Protocol Scope 3 Standard, which provides a framework for estimating, reporting, and tracking emission performance, is the only internationally accepted method for Scope 3 emission reporting today (Callahan et al., 2021). While the Scope 3 Standard takes a life cycle perspective to identify supply chain emission sources, it does not require a full life cycle assessment (LCA) of supply chains (Callahan et al., 2021). Evaluation of cradle-to-gate emissions is required for some supply chain categories (e.g., purchased goods and services, capital goods, fuel- and energy-related activities) but is optional for others (e.g., transportation and distribution, generated waste, business travel, and leased assets) (Callahan et al., 2021). When companies include cradle-to-gate supply chain emissions, they rely on emission factors (representative values designed to relate the quantity of a pollutant released per unit of an associated activity) derived using LCA or environmentally extended input–output models (spend methods) based upon industry averages rather than the reporting companies' specific supply chains (Barrow et al., 2013). This approach is considerably (and purposely) less rigid and time-consuming than the LCA methodology. However, it provides fewer actionable results. Life cycle assessment is more actionable than current supply chain accounting approaches because it uses process-level analyses rather than deriving emissions according to a checklist of value chain activities. In LCA, processes are evaluated according to a reference flow, that is, the amount of output required to derive a specified amount of function from the product system being assessed (Hauschild et al., 2018). This approach provides insights into which supply chain activities are driving emissions, and from this, companies can then determine where they are able to influence emission reductions. Assessing emissions for the first five Scope 3 categories (purchased goods and services; capital goods; fuel and energy-related activities; transportation; and waste) according to the operations and equipment integral to delivering the reporting company's services or products. For example, for a company's fleet of cars, this includes emissions associated with manufacturing, transporting, maintaining, and repairing cars and producing fuel consumed by the cars. Companies may still use industry average emission factors to estimate emissions, but these estimates will be transparently linked to the equipment or operations controlled by the company. Evaluating the reporting companies' level of influence for each process. A tool such as an action prioritization matrix could be adapted to assess companies' level of influence, according to the level of process control and cost of implementation. The results could be evaluated alongside the size of potential emission reduction to determine the overall reduction potential, based on feasibility, to prioritize actions. Based upon the proposed modifications, we suggest that reporting companies should (at a minimum) assume responsibility for activities they control and can change. This approach is grounded in process-level LCA but can be integrated into the current Scope 3 accounting framework. Similar considerations should be encouraged for downstream emissions linked to reporting companies' operations and activities. These recommendations do not discount companies' responsibilities for reducing emissions from sources for which they have little control. For these, other strategies will be needed (e.g., mechanisms for enabling collective action to reduce overall supply chain emissions). Rather, these recommendations are an important step in changing the mindset that Scope 3 emissions belong to third parties and ought to be mitigated at those sources by those third parties. Mia Emborg: Writing—original draft; writing—review and editing. Shannon Lloyd: Writing—review and editing. Stig Olsen: Writing—review and editing.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,387
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,275
Écart entre enseignants0,262 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations12
Publié2023
Routes d'admission1
Résumé présentoui

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