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Social farming: a proposal to explore the effects of structural and relational variables on social farm results

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  • Ivana Bassi

    (University of Udine)

  • Federico Nassivera

    (University of Udine)

  • Lucia Piani

    (University of Udine)

Abstract

Social farming is gaining increasing attention from multiple stakeholders in Europe because it can generate several socioeconomic benefits, for farming households too. The research—which is part of a project carried out by a healthcare authority in the Friuli Venezia Giulia region in order to investigate social farming in the local area—is a first attempt to analyse social farm results and to what extent they are affected by farm assets, as well as by the environment in which farms are embedded. The proposed model is based on the investigation of the causal relationships between “structural”, “relational” and “social farm result” constructs (latent variables), and on the identification of their measurement scales (observed variables). The causal relationships between these three constructs have been tested via a structural equation model calculated with the linear structural relationship method. The findings show that social farm results are mainly influenced by the relational variables (e.g., social and economic relations). On the contrary, the structural variables (e.g., size) do not directly affect the results, but they do have a negative indirect effect on them which is mediated by the relational variables. The findings suggests that alongside structural investment support, it is also important to strengthen relations and networks at local level in order to reinforce social farm results. Overall the findings contribute to the further understanding of the driving forces affecting social farm performance and provide policy makers and practitioners with information for scaling-up social farming.

Suggested Citation

  • Ivana Bassi & Federico Nassivera & Lucia Piani, 2016. "Social farming: a proposal to explore the effects of structural and relational variables on social farm results," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-13, December.
    • Handle: RePEc:spr:agfoec:v:4:y:2016:i:1:d:10.1186_s40100-016-0057-6
    DOI: 10.1186/s40100-016-0057-6
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    References listed on IDEAS

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    1. Hakansson, Hakan & Ford, David, 2002. "How should companies interact in business networks?," Journal of Business Research, Elsevier, vol. 55(2), pages 133-139, February.
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    1. Patrizia Borsotto & Marco Gaito & Antonio Papaleo & Carmela De Vivo, 2019. "An exploratory study on the construction of networks in social farming," Economia agro-alimentare, FrancoAngeli Editore, vol. 21(2), pages 481-506.
    2. Fazari, Erika & Musolino, Dario, 2022. "Social farming in high mountain regions: The case of the Aosta Valley in Italy," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 24(3), December.
    3. Tiziano Tempesta & Daniel Vecchiato & Federico Nassivera & Maria Bugatti & Biancamaria Torquati, 2019. "Consumers Demand for Social Farming Products: An Analysis with Discrete Choice Experiments," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    4. Erika Fazari & Dario Musolino, 2022. "Social farming in high mountain regions: The case of the Aosta Valley in Italy," Economia agro-alimentare, FrancoAngeli Editore, vol. 24(3), pages 1-33.
    5. Roberta Moruzzo & Francesco Riccioli & Angela Galasso & Carmelo Troccoli & Salomon Espinosa Diaz & Francesco Di Iacovo, 2020. "Italian Social Farming: the Network of Coldiretti and Campagna Amica," Sustainability, MDPI, vol. 12(12), pages 1-17, June.
    6. Roberta Moruzzo & Giulia Granai & Caterina De Benedictis & Morgana Galardi & Vincenzina Colosimo & Jacopo Sforzi & Francesco Di Iacovo, 2022. "The Development of Sustainable Social Farming in Italy: A Case Studies Analysis," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    7. Marta Borgi & Mario Marcolin & Paolo Tomasin & Cinzia Correale & Aldina Venerosi & Alberto Grizzo & Roberto Orlich & Francesca Cirulli, 2019. "Nature-Based Interventions for Mental Health Care: Social Network Analysis as a Tool to Map Social Farms and their Response to Social Inclusion and Community Engagement," IJERPH, MDPI, vol. 16(18), pages 1-14, September.
    8. Angela Genova & Martina Maccaroni & Elena Viganò, 2020. "Social Farming: Heterogeneity in Social and Agricultural Relationships," Sustainability, MDPI, vol. 12(12), pages 1-20, June.

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