Abstract
Inequity is one of the primary economic and societal risks posed by the global food system, yet measures of inequity are missing from prominent corporate tools that aim to account for the impact of the economic activities associated with food production, manufacturing and retail. Here we suggest new metrics to measure socio-economic, gender, racial, generational and risk divides between the bearers of natural, social and human capital costs and those of benefits.
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Data availability
The datasets generated during the current study are available in the Oxford Research Archive at https://ora.ox.ac.uk/objects/uuid:50c88e3a-071e-4835-a8af-9ceb945c496e. HDI and GII data are publicly available from the UNDP at http://hdr.undp.org/en/data.
Code availability
The code generated during the current study to implement optimal transport and calculate SES and SES-G statistics is available in the Oxford Research Archive at https://ora.ox.ac.uk/objects/uuid:50c88e3a-071e-4835-a8af-9ceb945c496e and can be used under the Creative Commons Attribution 2.0 (CC BY 2.0) license.
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S.L. conceived the article, performed the research and wrote the article. J.S.I.I. contributed to content, research and writing of the article.
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S.L. receives funding from the Food System Impact Valuation Initiative. The Food System Impact Valuation Initiative is funded by the Global Alliance for the Future of Food, Compassion in World Farming UK, World Business Council on Sustainable Development, the Sir Peter Elworthy Grant Programme, Nestle UK & Ireland, Danone and Yara International. The funders had no role in the conceptualization, design, analysis, decision to publish, or preparation of the manuscript. J.S.I.I. declares no competing interests.
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Lord, S., Ingram, J.S.I. Measures of equity for multi-capital accounting. Nat Food 2, 646–654 (2021). https://doi.org/10.1038/s43016-021-00336-3
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DOI: https://doi.org/10.1038/s43016-021-00336-3