Diversity and potentiality of multi-criteria decision analysis methods for agri-food research - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Agronomy for Sustainable Development Year : 2020

Diversity and potentiality of multi-criteria decision analysis methods for agri-food research

Joël Aubin
Rachel Boutrou
Catherine Collet
Vincent Martinet

Abstract

AbstractThere is a growing demand for moving towards sustainable agri-food systems which per nature covers a complex network of activities and domains; such systems will benefit from multi-criteria decision analysis (MCDA) methods. Although some reviews on MCDA in agri-food research have been published, none of them covered the whole value chain. In this article, a corpus of 954 articles published by INRA scientists from 2007 to 2017 was used to study the diversity and potentiality of MCDA techniques. For the first time, experts from more than 10 agri-food domains worked altogether to annotate the articles, carry out a multivariate analysis, and finally interpret the statistical results to identify the specificities of certain domains and the complementarities between domains and to suggest avenues for future agri-food research. One-third of the studies were based only on a list of indicators, even when their purpose was to choose, sort, or rank options. Regardless of the scientific discipline in the agri-food sector, MCDA studies rarely considered temporal dynamics, spatial scale changes, or stakeholder contributions. As the agri-food system becomes increasingly sustainable in the near future, the use of MCDA methods will accelerate. To become more effective, they will have to include ecosystem services, even outside the scope of ecological studies. Similarly, MCDA studies will need to include participatory science to involve stakeholders (i.e., public authorities, governmental agencies) and end-users (i.e., farmers, producers, industrials, consumers) in the construction of the multi-criteria evaluation but also in the resulting decisions.
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Dates and versions

hal-03029648 , version 1 (22-11-2021)

Identifiers

Cite

Geneviève Gésan-Guiziou, Aude Alaphilippe, Joël Aubin, Christian Bockstaller, Rachel Boutrou, et al.. Diversity and potentiality of multi-criteria decision analysis methods for agri-food research. Agronomy for Sustainable Development, 2020, 40 (6), pp.44. ⟨10.1007/s13593-020-00650-3⟩. ⟨hal-03029648⟩
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