2022
DOI: 10.1051/e3sconf/202234907005
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Challenges and requirements of exchanging Product Carbon Footprint information in the supply chain

Abstract: The reduction in greenhouse gas (GHG) emissions is of high importance to society. Companies therefore have an increasing interest in understanding and reducing the GHG emissions of their supply chains and to generate data to track and prove this, for example by calculating product carbon footprints (PCFs). Besides serious gaps in PCF data within companies and in LCA databases, there is still missing experience and knowledge on how to consistently prepare and exchange these data. Based on our experience as LCA … Show more

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Cited by 4 publications
(3 citation statements)
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“…Existing standards (e.g., ISO standards, GHG Protocol standards) and sector guidelines (such as the Product Category Rules or Product Environmental Footprint method) leave room for interpretation 22,53,64 . Scope 3 emission footprints build up on top of the emission data input of different suppliers, but lack an overarching harmonization and integration 33 . With missing data interoperability, i.e., when suppliers within a supply chain use different calculation standards or interpret certain inputs differently, the resulting Scope 3 emission footprint is inconsistent and insufficient.…”
Section: Interoperabilitymentioning
confidence: 99%
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“…Existing standards (e.g., ISO standards, GHG Protocol standards) and sector guidelines (such as the Product Category Rules or Product Environmental Footprint method) leave room for interpretation 22,53,64 . Scope 3 emission footprints build up on top of the emission data input of different suppliers, but lack an overarching harmonization and integration 33 . With missing data interoperability, i.e., when suppliers within a supply chain use different calculation standards or interpret certain inputs differently, the resulting Scope 3 emission footprint is inconsistent and insufficient.…”
Section: Interoperabilitymentioning
confidence: 99%
“…Another major obstacle for data sharing is the risk of sharing sensitive data. Product-level emission data can enable reverse engineering to conclude insights into production processes (e.g., information about product composition and supplier networks) and is therefore considered to be competitively relevant 33 . Firms are very hesitant to share such data.…”
Section: Data Privacymentioning
confidence: 99%
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