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Cognitive mapping, flemish beef farmers’ perspectives and farm functioning: a critical methodological reflection

Author

Listed:
  • Louis Tessier

    (Flanders Research Institute for Agriculture, Fisheries and Food, Social Science Unit
    Université catholique de Louvain, Earth and Life Institute)

  • Jo Bijttebier

    (Flanders Research Institute for Agriculture, Fisheries and Food, Social Science Unit)

  • Fleur Marchand

    (Flanders Research Institute for Agriculture, Fisheries and Food, Social Science Unit
    University of Antwerp, Institute of Environment and Sustainable Development)

  • Philippe V. Baret

    (Université catholique de Louvain, Earth and Life Institute)

Abstract

In this paper we reflect on the effectiveness of cognitive mapping (CMing) as a method to study farm functioning in its complexity and its diverse forms in the framework of our own experiment with a diverse group of Flemish beef farmers. With a structured direct elicitation method we gathered 30 CMs. We analyzed the content of these maps both qualitatively and quantitatively. The central role of the concept “Income” in most maps indicated a shared concern for economic security. Further, the CMs indicated that farmers dealt with this shared social reality differently, as the relationships included in their maps referred to different functional processes relating to revenue streams, marketing strategies, investment decisions, dependence on production inputs, on-farm resource management, and personal well-being. With a clustering algorithm we grouped farmers based on the relationships in their maps, which allowed us to trace some of the broader patterns within the data, such as the existence of more business- and investment-minded farmers, in contrast to farmers focused on their quality of life, and animal production-oriented in contrast to marketing-oriented farmers. Taking into account farmers’ comments, we find that the applied methods had limited capability to classify farmers based on their perspectives on farming. Still, the system presentations proved useful to study what aspects farmers were working on or towards, and how these aspects may actually fit together as a whole. CMing was therefore mostly effective in exploring farm functioning in its complexity, and less so in exploring farm functioning in its diversity.

Suggested Citation

  • Louis Tessier & Jo Bijttebier & Fleur Marchand & Philippe V. Baret, 2021. "Cognitive mapping, flemish beef farmers’ perspectives and farm functioning: a critical methodological reflection," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(4), pages 1003-1019, December.
    • Handle: RePEc:spr:agrhuv:v:38:y:2021:i:4:d:10.1007_s10460-021-10207-z
    DOI: 10.1007/s10460-021-10207-z
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    References listed on IDEAS

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    1. Feola, Giuseppe & Binder, Claudia R., 2010. "Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework," Ecological Economics, Elsevier, vol. 69(12), pages 2323-2333, October.
    2. Garini, C.S. & Vanwindekens, F. & Scholberg, J.M.S. & Wezel, A. & Groot, J.C.J., 2017. "Drivers of adoption of agroecological practices for winegrowers and influence from policies in the province of Trento, Italy," Land Use Policy, Elsevier, vol. 68(C), pages 200-211.
    3. Jackson, Mike C., 2001. "Critical systems thinking and practice," European Journal of Operational Research, Elsevier, vol. 128(2), pages 233-244, January.
    4. van Winsen, Frankwin & de Mey, Yann & Lauwers, Ludwig & Van Passel, Steven & Vancauteren, Mark & Wauters, Erwin, 2013. "Cognitive mapping: A method to elucidate and present farmers’ risk perception," Agricultural Systems, Elsevier, vol. 122(C), pages 42-52.
    5. John Fairweather & Lesley Hunt, 2011. "Can farmers map their farm system? Causal mapping and the sustainability of sheep/beef farms in New Zealand," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 28(1), pages 55-66, February.
    6. Vanwindekens, Frédéric M. & Stilmant, Didier & Baret, Philippe V., 2013. "Development of a broadened cognitive mapping approach for analysing systems of practices in social–ecological systems," Ecological Modelling, Elsevier, vol. 250(C), pages 352-362.
    7. Mikaël Akimowicz & Harry Cummings & Karen Landman, 2016. "Green lights in the Greenbelt? A qualitative analysis of farm investment decision-making in peri-urban Southern Ontario," Post-Print hal-01299322, HAL.
    8. Koutsouris, Alex, 2012. "Facilitating Agricultural Innovation Systems: A critical realist approach," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 114(2), pages 1-7, October.
    9. Tessier, Louis & Bijttebier, Jo & Marchand, Fleur & Baret, Philippe V., 2021. "Identifying the farming models underlying Flemish beef farmers' practices from an agroecological perspective with archetypal analysis," Agricultural Systems, Elsevier, vol. 187(C).
    10. Naomi Beingessner & Amber J. Fletcher, 2020. "“Going local”: farmers’ perspectives on local food systems in rural Canada," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 37(1), pages 129-145, March.
    11. Ditzler, Lenora & Klerkx, Laurens & Chan-Dentoni, Jacqueline & Posthumus, Helena & Krupnik, Timothy J. & Ridaura, Santiago López & Andersson, Jens A. & Baudron, Frédéric & Groot, Jeroen C.J., 2018. "Affordances of agricultural systems analysis tools: A review and framework to enhance tool design and implementation," Agricultural Systems, Elsevier, vol. 164(C), pages 20-30.
    12. Vanwindekens, Frédéric M. & Baret, Philippe V. & Stilmant, Didier, 2014. "A new approach for comparing and categorizing farmers’ systems of practice based on cognitive mapping and graph theory indicators," Ecological Modelling, Elsevier, vol. 274(C), pages 1-11.
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