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Choice of Allocations and Constructs for Attributional or Consequential Life Cycle Assessment and Input‐Output Analysis

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  • Guillaume Majeau‐Bettez
  • Thomas Dandres
  • Stefan Pauliuk
  • Richard Wood
  • Edgar Hertwich
  • Réjean Samson
  • Anders Hammer Strømman

Abstract

The divide between attributional and consequential research perspectives partly overlaps with the long‐standing methodological discussions in the life cycle assessment (LCA) and input‐output analysis (IO) research communities on the choice of techniques and models for dealing with situations of coproduction. The recent harmonization of LCA allocations and IO constructs revealed a more diverse set of coproduction models than had previously been understood. This increased flexibility and transparency in inventory modeling warrants a re‐evaluation of the treatment of coproduction in analyses with attributional and consequential perspectives. In the present article, the main types of coproductions situations and of coproduction models are reviewed, along with key desirable characteristics of attributional and consequential studies. A concordance analysis leads to clear recommendations, which call for important refinements to current guidelines for both LCA/IO practitioners and database developers. We notably challenge the simple association between, on the one hand, attributional LCA and partition allocation, and on the one hand, consequential LCA and substitution modeling.

Suggested Citation

  • Guillaume Majeau‐Bettez & Thomas Dandres & Stefan Pauliuk & Richard Wood & Edgar Hertwich & Réjean Samson & Anders Hammer Strømman, 2018. "Choice of Allocations and Constructs for Attributional or Consequential Life Cycle Assessment and Input‐Output Analysis," Journal of Industrial Ecology, Yale University, vol. 22(4), pages 656-670, August.
  • Handle: RePEc:bla:inecol:v:22:y:2018:i:4:p:656-670
    DOI: 10.1111/jiec.12604
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    Cited by:

    1. Christian Moretti & Blanca Corona & Robert Edwards & Martin Junginger & Alberto Moro & Matteo Rocco & Li Shen, 2020. "Reviewing ISO Compliant Multifunctionality Practices in Environmental Life Cycle Modeling," Energies, MDPI, vol. 13(14), pages 1-24, July.
    2. Lars Wietschel & Lukas Messmann & Andrea Thorenz & Axel Tuma, 2021. "Environmental benefits of large‐scale second‐generation bioethanol production in the EU: An integrated supply chain network optimization and life cycle assessment approach," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 677-692, June.
    3. Christian Moretti & Blanca Corona & Viola Rühlin & Thomas Götz & Martin Junginger & Thomas Brunner & Ingwald Obernberger & Li Shen, 2020. "Combining Biomass Gasification and Solid Oxid Fuel Cell for Heat and Power Generation: An Early-Stage Life Cycle Assessment," Energies, MDPI, vol. 13(11), pages 1-24, June.
    4. Thomas Schaubroeck & Simon Schaubroeck & Reinout Heijungs & Alessandra Zamagni & Miguel Brandão & Enrico Benetto, 2021. "Attributional & Consequential Life Cycle Assessment: Definitions, Conceptual Characteristics and Modelling Restrictions," Sustainability, MDPI, vol. 13(13), pages 1-47, July.
    5. Reinout Heijungs & Arjan Koning, 2019. "Analyzing the effects of the choice of model in the context of marginal changes in final demand," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-22, December.
    6. Anders Arvesen & Steve Völler & Christine Roxanne Hung & Volker Krey & Magnus Korpås & Anders Hammer Strømman, 2021. "Emissions of electric vehicle charging in future scenarios: The effects of time of charging," Journal of Industrial Ecology, Yale University, vol. 25(5), pages 1250-1263, October.
    7. Jacob Fry & Arne Geschke & Sarah Langdon & Manfred Lenzen & Mengyu Li & Arunima Malik & Ya‐Yen Sun & Thomas Wiedmann, 2022. "Creating multi‐scale nested MRIO tables for linking localized impacts to global consumption drivers," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 281-293, February.

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