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This research paper presents a methodology for analyzing subnational climate risk exposure for individual commodity traders by linking high-resolution supply chain data with gridded crop yield projections, using Brazilian soy production as a case study.

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  • The study demonstrates that individual commodity traders face varying levels of risk exposure to long-term climate change because their sourcing patterns are heterogeneous, even though uncertainty in crop models makes predicting overall regional production effects difficult.
  • The authors developed a method to analyze subnational climate risk for individual trading actors across a production landscape, which allows for more precise risk exposure analysis than previous attempts hindered by a lack of high-resolution data.
  • The methodology used for Brazilian soy can be extended to any combination of crop and country, which is relevant for addressing broader food security issues across different production systems and downstream actors.

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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