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Principles for accurate GHG inventories and options for market-based accounting

International Journal of Life Cycle Assessment, ISSN: 1614-7502, Vol: 28, Issue: 10, Page: 1248-1260
2023
  • 8
    Citations
  • 0
    Usage
  • 55
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    8
  • Captures
    55
  • Mentions
    1
    • Blog Mentions
      1
      • 1

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Article Description

Purpose: Market-based GHG accounting allows companies to report their emissions based on the purchase of emission attributes. This practice is widespread for reporting ‘scope 2’ electricity emissions and has recently been proposed for both ‘scope 1’ (direct) and ‘scope 3’ (other value chain) emission sources. However, the market-based method has been criticised for undermining the accuracy of GHG disclosures, and it is therefore highly important to explore the requirements for accurate GHG inventories and the solutions to market-based accounting. Methods: This paper uses two methods: firstly, thought experiments are used to identify principles for accurate corporate GHG inventories and, secondly, formal prescriptions are developed for possible solutions to market-based accounting. Results and discussion: The findings identify six principles for accurate corporate GHG inventories, which are then used to inform the development of two possible solutions. The first solution is to report changes in emissions caused by company actions separately from the GHG inventory, including any changes caused by the purchase of emission attribute certificates. The second solution proposes a causality requirement for the use of emission attributes in GHG inventories. Although the analysis focuses on corporate or organisational GHG inventories, the principles and solutions apply equally to attributional product carbon footprinting and life cycle assessment more broadly. Conclusions: We emphasise that inventories are only one form of accounting method, and their accuracy should not be undermined by attempting to fulfil functions that are best served by other methods.

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