Yuning Gao , Tao Zhang , Shantong Li , David Cleary
{"title":"Accounting for commodity carbon footprints at the sub-national level: A case study of soybean exports from Brazil to China","authors":"Yuning Gao , Tao Zhang , Shantong Li , David Cleary","doi":"10.1016/j.wds.2025.100238","DOIUrl":null,"url":null,"abstract":"<div><div>Quantifying the carbon footprint of agricultural products is crucial for effective carbon mitigation and responsible sourcing, given that the food production system accounts for approximately one-third of global carbon emissions. While country- and sector-specific carbon accounting offers broad insights, its sectoral aggregation limits actionable strategies for inclusive and sustainable supply chain governance. This study combines input-output data with high-resolution global soybean supply chain data at the sub-national level to quantify the embodied carbon in soybean exports from Brazilian states to China. The results reveal that the annual fossil fuel-related carbon footprint of exported soybeans surged from 7.2 million tons in 2014 to 18.5 million tons in 2018. Incorporating land-use change emissions amplifies the cumulative five-year footprint by an additional 17.6 million tons. At the sub-national level, Mato Grosso, Rio Grande do Sul, and Paraná are identified as the largest carbon exporters to China. Sourcing soybeans from Brazil’s central and southern regions, where soybean-related deforestation remains comparatively limited, emerges as a potential pathway toward more sustainable supply chain management. Finally, we examine uncertainties arising from comparisons with life cycle assessments, attributing discrepancies primarily to differences in accounting scope and margin allocations.</div></div>","PeriodicalId":101285,"journal":{"name":"World Development Sustainability","volume":"7 ","pages":"Article 100238"},"PeriodicalIF":0.0000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Development Sustainability","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772655X25000369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Quantifying the carbon footprint of agricultural products is crucial for effective carbon mitigation and responsible sourcing, given that the food production system accounts for approximately one-third of global carbon emissions. While country- and sector-specific carbon accounting offers broad insights, its sectoral aggregation limits actionable strategies for inclusive and sustainable supply chain governance. This study combines input-output data with high-resolution global soybean supply chain data at the sub-national level to quantify the embodied carbon in soybean exports from Brazilian states to China. The results reveal that the annual fossil fuel-related carbon footprint of exported soybeans surged from 7.2 million tons in 2014 to 18.5 million tons in 2018. Incorporating land-use change emissions amplifies the cumulative five-year footprint by an additional 17.6 million tons. At the sub-national level, Mato Grosso, Rio Grande do Sul, and Paraná are identified as the largest carbon exporters to China. Sourcing soybeans from Brazil’s central and southern regions, where soybean-related deforestation remains comparatively limited, emerges as a potential pathway toward more sustainable supply chain management. Finally, we examine uncertainties arising from comparisons with life cycle assessments, attributing discrepancies primarily to differences in accounting scope and margin allocations.