Diversity and potentiality of multi-criteria decision analysis methods for agri-food research
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(2020) 40:44
RESEARCH ARTICLE
Diversity and potentiality of multi-criteria decision analysis methods for agri-food research Geneviève Gésan-Guiziou 1 & Aude Alaphilippe 2 & Joël Aubin 3 & Christian Bockstaller 4 & Rachel Boutrou 1 & Patrice Buche 5 & Catherine Collet 6 & Agnès Girard 7 & Vincent Martinet 8 & Jeanne-Marie Membré 9 & Régis Sabbadin 10 & Marie Thiollet-Scholtus 4 & Hayo M.G. van der Werf 3 Accepted: 23 October 2020 # INRAE and Springer-Verlag France SAS, part of Springer Nature 2020
Abstract There 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. Keywords Sustainability . Agriculture . Agro-industry . Design . Choice . Environment . Indicators . INRAE
1 Introduction * Geneviève Gésan-Guiziou [email protected] 1
STLO, INRAE, Institut Agro, F-35042 Rennes, France
2
INRAE, UERI-Gotheron, F-26320 Saint-Marcel-lès-Valence, France
3
SAS, INRAE, Institut Agro, F-35042 Rennes, France
4
Université de Lorraine, INRAE, LAE, F-68000 Colmar, France
5
University of Montpellier, INRAE, IATE, F-34060 Montpellier, France
6
University of Lorraine, AgroParisTech, INRAE, Silva, F-54000 Nancy, France
7
INRAE, LPGP, F-35000 Rennes, France
8
University Paris-Saclay, INRAE, AgroParisTech, Economie Publique, F-78850 Thiverval-Grignon, France
9
INRAE, Oniris, Secalim, F-44307 Nantes, France
10
INRAE, MIA, F-31320 Castanet Tolosan, France
Over the last decade, a growing agreement has emerged on the need to address s
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