Uncertainty analysis in multi-region input-output models: a case study of the UK's carbon footprint
Summary
The research employs Monte Carlo techniques and error propagation to analyze stochastic variation in a global MRIO model. Based on 5,000 simulation runs, the study estimates an 89% probability that the UK's carbon footprint increased between 1994 and 2004.
Key insights
- The study used Monte Carlo techniques with 5,000 simulation runs to determine the standard deviations of multipliers within a global MRIO system.
- There is an estimated 89% probability that the carbon footprint of the UK increased during the period from 1994 to 2004.
Cite the original document
- APA
- Stockholm Environment Institute (2010). Uncertainty analysis in multi-region input-output models: a case study of the UK's carbon footprint. https://www.sei.org/publications/uncertainty-analysis-multi-region-input-output-models-case-study-uks-carbon-footprint/
- Chicago
- Stockholm Environment Institute. Uncertainty analysis in multi-region input-output models: a case study of the UK's carbon footprint. 2010. https://www.sei.org/publications/uncertainty-analysis-multi-region-input-output-models-case-study-uks-carbon-footprint/.
- Wikipedia
- {{cite report |author=Stockholm Environment Institute |title=Uncertainty analysis in multi-region input-output models: a case study of the UK's carbon footprint |date=6 August 2010 |url=https://www.sei.org/publications/uncertainty-analysis-multi-region-input-output-models-case-study-uks-carbon-footprint/ |access-date=17 August 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{stockholmenvironmentinstitute2010uncertainty, author = {{Stockholm Environment Institute}}, title = {{Uncertainty analysis in multi-region input-output models: a case study of the UK's carbon footprint}}, institution = {Stockholm Environment Institute}, year = {2010}, month = aug, url = {https://www.sei.org/publications/uncertainty-analysis-multi-region-input-output-models-case-study-uks-carbon-footprint/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }
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