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Using the Materiality Assessment and PSILCA database to identify and assess the Social and Governance issues for stakeholders along the value chain of new bio-based materials
2020 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

The goal of this work is to use S-LCA in early process development and value chain creation. In this paper we present the results from using Materiality Assessment and PSILCA database and give some reflections on how stakeholders in the value chain of new bio-based materials understand the results. The materiality assessment builds on reports from the Swedish forest industry, previous S-LCA studies on forestry products, and CSR reports from major investors.The number of times the social topics/indicators appeared in the reports was recorded and analysed in a materiality graph. The S-LCA results are presented in medium risk hours (MRH). Based on the feedback with the stakeholders along the value chain, it was difficult to grasp the meaning of Medium Risk Hours in relation to social impacts. Also, good care has to be taken when communicating results since social LCA is a rather unknown tool to the industries represented here. 

Place, publisher, year, edition, pages
Sweden: Collection FruiTrop Thema SocSem , 2020, 7th. p. 102-105
Series
SocSem
Keywords [en]
materiality, stakeholders, S-LCA, value chain, bioeconomy
National Category
Other Social Sciences Other Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-56782OAI: oai:DiVA.org:ri-56782DiVA, id: diva2:1608529
Conference
7th international Conference on Social-LCA 2020 – June 2020 – Gothenburg (Sweden)
Available from: 2021-11-03 Created: 2021-11-03 Last updated: 2023-05-10Bibliographically approved

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Brunklaus, Birgit

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf