Flow approaches in agri-food systems research: revealing blind spots to support social-ecological transformation

Agri-food systems are called upon to undergo profound transformation. The development of “flow approaches” (including lifecycle assessment, carbon footprint, ecological footprint, and metabolism methodologies) has been crucial to point to the material side of human activities. More specifically, these approaches highlight the material and energetic costs of long agri-food value-chains, intensive farming practices, high levels of geographic specialization, as well as the production of non-food commodities. In the logical progression from diagnosis to action, flow approaches are currently being used as decision-support tools. But what are the biases induced by flow approaches when it comes to supporting real-world transformations? Based on our experience and interdisciplinary background, we argue that flow approaches provide a decontextualized and narrow framing of issues related to agri-food systems, such as accumulations and transfers across space and time, inequalities and asymmetries along the chain of activities, or long-lasting environmental impacts. Some aspects are measured and emphasized, while others are difficult to observe or neglected. Flow approaches, alone, are not well suited to inform issues of environmental justice, radical transformation, and local governance. As in most cases methodological advances will not suffice to overcome the biases induced, we call for hybridizing methods and for broadening analytical perspectives.

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Publication Details

Journal
Agroecology and Sustainable Food Systems
Published
2024-11-05
DOI
https://doi.org/10.1080/21683565.2024.2421977
Primary Topic
Environmental Impact and Sustainability
Type
article
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article

Flow approaches in agri-food systems research: revealing blind spots to support social-ecological transformation

Tiago Teixeira da Silva Siqueira, Pierre Guillemin, Lynda Aissani, Simon De Muynck et al.
Agroecology and Sustainable Food Systems
Environmental Impact and Sustainability
article

Flow approaches in agri-food systems research: revealing blind spots to support social-ecological transformation

Tiago Teixeira da Silva Siqueira, Pierre Guillemin, Lynda Aissani, Simon De Muynck, Kévin Morel, S. Allain
article en

Abstract

Agri-food systems are called upon to undergo profound transformation. The development of “flow approaches” (including lifecycle assessment, carbon footprint, ecological footprint, and metabolism methodologies) has been crucial to point to the material side of human activities. More specifically, these approaches highlight the material and energetic costs of long agri-food value-chains, intensive farming practices, high levels of geographic specialization, as well as the production of non-food commodities. In the logical progression from diagnosis to action, flow approaches are currently being used as decision-support tools. But what are the biases induced by flow approaches when it comes to supporting real-world transformations? Based on our experience and interdisciplinary background, we argue that flow approaches provide a decontextualized and narrow framing of issues related to agri-food systems, such as accumulations and transfers across space and time, inequalities and asymmetries along the chain of activities, or long-lasting environmental impacts. Some aspects are measured and emphasized, while others are difficult to observe or neglected. Flow approaches, alone, are not well suited to inform issues of environmental justice, radical transformation, and local governance. As in most cases methodological advances will not suffice to overcome the biases induced, we call for hybridizing methods and for broadening analytical perspectives.

Agroecology and Sustainable Food SystemsVol. 49(4)
ASTER (CA), Université Libre de Bruxelles (BE), Université de Montpellier (FR), Université Paris-Saclay (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Normandie Université (FR), Université Grenoble Alpes (FR)
Reduced inequalities
Openalex Percentile: Top 85%
Environmental Impact and Sustainability
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