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The study evaluates territorial and consumption-based accounting (CBA) for subnational GHG emissions assessments. It finds that while territorial accounting is best for internal monitoring, CBA is superior for interregional comparisons and understanding global footprints, though it is harder to link to specific spatial planning decisions. The authors argue that using a single net emissions figure for climate targets can be misleading and that both methods are complementary for a thorough understanding of emission patterns.

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  • Territorial emissions results are most effective for internal monitoring and are not suitable for comparing different regions, whereas consumption-based accounting (CBA) enables interregional comparison and offers a comprehensive view of residents' global carbon footprints, although CBA results are more difficult to connect to spatial planning decisions.
  • Relying on a single net emissions figure to set climate targets or monitor the success of climate actions can lead to false indications; interpreting results requires both local context and methodological understanding.
  • Territorial and consumption-based accounting provide complementary perspectives that together offer a more thorough understanding of GHG emission patterns related to spatial planning policies, though the coherence of climate action would be improved by more transparent assumptions and harmonized data collection for subnational inventories.

Cite the original document

APA
Stockholm Environment Institute (2023). GHG emissions assessments spatial planning. https://www.sei.org/publications/ghg-emissions-assessments-spatial-planning/
Chicago
Stockholm Environment Institute. GHG emissions assessments spatial planning. 2023. https://www.sei.org/publications/ghg-emissions-assessments-spatial-planning/.
Wikipedia
{{cite report |author=Stockholm Environment Institute |title=GHG emissions assessments spatial planning |date=20 June 2023 |url=https://www.sei.org/publications/ghg-emissions-assessments-spatial-planning/ |access-date=17 August 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{stockholmenvironmentinstitute2023ghg, author = {{Stockholm Environment Institute}}, title = {{GHG emissions assessments spatial planning}}, institution = {Stockholm Environment Institute}, year = {2023}, month = jun, url = {https://www.sei.org/publications/ghg-emissions-assessments-spatial-planning/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }

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