Climate Change Trader Risk Exposure
Summary
The paper introduces a new approach to assess how individual commodity traders are exposed to long-term climate change risks by utilizing gridded crop yield projections and subnational supply chain data. Applying this method to the Brazilian soy sector, the authors find that risk exposure varies significantly between traders because of differences in their sourcing patterns, despite overall uncertainty in crop model yield projections.
Key insights
- The authors developed a method to assess the long-term climate change risk exposure of individual commodity traders by combining gridded crop yield projections with supply chain data that links subnational production to downstream actors.
- In the case of Brazilian soy production, the risk exposure of different trading actors varies substantially because their sourcing is heterogeneous, although predicting exact production effects remains difficult due to uncertainty across crop models' yield projections.
- The methodology used for Brazilian soy is scalable and can be applied to other crop and country combinations, as well as other downstream actors within the food system to address food security issues.
Cite the original document
- APA
- Stockholm Environment Institute (2020). Climate Change Trader Risk Exposure. https://www.sei.org/publications/climate-change-trader-risk-exposure/
- Chicago
- Stockholm Environment Institute. Climate Change Trader Risk Exposure. 2020. https://www.sei.org/publications/climate-change-trader-risk-exposure/.
- Wikipedia
- {{cite report |author=Stockholm Environment Institute |title=Climate Change Trader Risk Exposure |date=15 September 2020 |url=https://www.sei.org/publications/climate-change-trader-risk-exposure/ |access-date=17 August 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{stockholmenvironmentinstitute2020climate, author = {{Stockholm Environment Institute}}, title = {{Climate Change Trader Risk Exposure}}, institution = {Stockholm Environment Institute}, year = {2020}, month = sep, url = {https://www.sei.org/publications/climate-change-trader-risk-exposure/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }
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