Reducing Post-Harvest Food Losses as a Pathway Towards Net-Zero Agriculture: Socioeconomic and Environmental Insights from FABLE Modeling
Theofanis Zacharatos,
Ginevra Coletti,
Konstantinos Dellis and
Phoebe Koundouri ()
No 2547, DEOS Working Papers from Athens University of Economics and Business
Abstract:
The agricultural sector contributes to global greenhouse gas emissions while facing pressures to meet nutritional needs of the growing population. Reducing post-harvest food losses represents an underappreciated path to achieving net-zero emissions without requiring radical changes in production systems. In this study, the Food, Agriculture, Biodiversity, Land-Use, and Energy (FABLE) Calculator simulates post-harvest loss (PHL) reduction scenarios, assessing their socioeconomic and environmental impacts. We model five pathways: a business-as-usual pathway entitled Current Trends, two scenarios with 25% and 50% PHL reductions, and two National Commitments pathways, combining PHL reduction with other policies. Results show that reducing PHL alone lowers production needs and costs by increasing supply chain efficiency. However, only the NC-25% pathway achieves greater cost savings and emission reductions, underscoring the value of combining supply- and demand-side interventions. Ultimately, this study underscores that reducing post-harvest losses is linked to achieving many SDGs and is essential for transitioning to more sustainable agri-food systems.
Date: 2025-06-30
References: Add references at CitEc
Citations:
Downloads: (external link)
http://wpa.deos.aueb.gr/docs/2025.Reducing.2.pdf First version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aue:wpaper:2547
Access Statistics for this paper
More papers in DEOS Working Papers from Athens University of Economics and Business Contact information at EDIRC.
Bibliographic data for series maintained by Ekaterini Glynou ().