Assessing the individual and cumulative impacts of drivers in food systems transformation through a multi-model ensemble paradigm
Citation
Sundiang, Marina; Oliveira, Thais Diniz; Mason-D'Croz, Daniel; Gibson, Matthew; Beier, Felicitas; et al. 2024. Assessing the individual and cumulative impacts of drivers in food systems transformation through a multi-model ensemble paradigm. Presented during the 27th Annual Conference on Global Economic Analysis at Fort Collins in Colorado, USA. https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=7330
Abstract/Description
The global food system faces a triple challenge: ensuring accessible healthy diets for all while promoting fair production, processing, and distribution, within safe planetary boundaries. Unfortunately, it significantly contributes to transgressing these boundaries. Intensified production driven by population growth depletes resources, exacerbates biodiversity loss, and worsens the climate crisis. Despite producing enough for 10 billion people, distribution remains uneven, leaving one in ten food insecure. Existing consumption patterns reinforce this imbalance. Failure to act risks exacerbating food inequality, malnutrition, and crossing irreversible tipping points. Leveraging global economic models, we find that a comprehensive approach combining productivity gains and diet shifts maximizes environmental benefits. Implementing these interventions together can meet agricultural demands without further land conversion or increased emissions. Combining this with climate change mitigation and land-use regulations maximizes environmental benefits and offsets food affordability challenges associated with ambitious mitigation efforts.
Permanent link to cite or share this item
External link to download this item
DOI
Author ORCID identifiers
Abhijeet Mishra https://orcid.org/0000-0002-8287-9922
Gerald Nelson https://orcid.org/0000-0003-3626-1221
Timothy B. Sulser https://orcid.org/0000-0001-7128-5283
Philip Thornton https://orcid.org/0000-0002-1854-0182
Keith Wiebe https://orcid.org/0000-0001-6035-620X
Mario Herrero https://orcid.org/0000-0002-7741-5090
