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Improving diffusion in agriculture: an agent-based model to find the predictors for efficient early adopters

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Listed:
  • Angela Barbuto

    (University of Foggia)

  • Antonio Lopolito

    (University of Foggia)

  • Fabio Gaetano Santeramo

    (University of Foggia)

Abstract

Proven that the adoption rate of a new product is influenced by the network characteristics of the early adopters, the aim of this paper is to find the network features of the early adopters associated with high adoption rates of a specific new practice: the use of biodegradable mulching films containing soluble bio-based substances derived from municipal solid wastes. We simulated the diffusion process by means of an agent-based model calibrated on real-world data. Closeness and clusterization emerged as the most important network characteristics for early adopters to be successful. The results achieved represent the basis for the breaking down of a tailored diffusion strategy to overcome the psychological and socio-economic barriers of this kind of innovation within an environmental and sustainability-oriented transition policy in a rural context.

Suggested Citation

  • Angela Barbuto & Antonio Lopolito & Fabio Gaetano Santeramo, 2019. "Improving diffusion in agriculture: an agent-based model to find the predictors for efficient early adopters," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-12, December.
    • Handle: RePEc:spr:agfoec:v:7:y:2019:i:1:d:10.1186_s40100-019-0121-0
    DOI: 10.1186/s40100-019-0121-0
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    References listed on IDEAS

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    1. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.
    2. Damon Centola & Juan Carlos González-Avella & Víctor M. Eguíluz & Maxi San Miguel, 2007. "Homophily, Cultural Drift, and the Co-Evolution of Cultural Groups," Journal of Conflict Resolution, Peace Science Society (International), vol. 51(6), pages 905-929, December.
    3. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    4. Narayan, Deepa & Pritchett, Lant, 1999. "Cents and Sociability: Household Income and Social Capital in Rural Tanzania," Economic Development and Cultural Change, University of Chicago Press, vol. 47(4), pages 871-897, July.
    5. Floortje Alkemade & Carolina Castaldi, 2005. "Strategies for the Diffusion of Innovations on Social Networks," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 3-23, February.
    6. van Rijn, Fédes & Bulte, Erwin & Adekunle, Adewale, 2012. "Social capital and agricultural innovation in Sub-Saharan Africa," Agricultural Systems, Elsevier, vol. 108(C), pages 112-122.
    7. Fabio G Santeramo, 2019. "I Learn, You Learn, We Gain Experience in Crop Insurance Markets," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(2), pages 284-304, June.
    8. Tepic, M. & Trienekens, Jacques H. & Hoste, R. & Omta, S.W.F. (Onno), 2012. "The Influence of Networking and Absorptive Capacity on the Innovativeness of Farmers in the Dutch Pork Sector," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 15(3), pages 1-34, September.
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    Cited by:

    1. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2024. "Towards sustainable agriculture: behaviors, spatial dynamics and policy in an evolutionary agent-based model," LEM Papers Series 2024/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Massfeller, Anna & Meraner, Manuela & Hüttel, Silke & Uehleke, Reinhard, 2022. "Farmers' acceptance of results-based agri-environmental schemes: A German perspective," Land Use Policy, Elsevier, vol. 120(C).

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