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Agriculture–nutrition linkages in farmers’ communication networks

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  • Lisa Jäckering
  • Theda Gödecke
  • Meike Wollni

Abstract

To date, little is known about how information flows within farmer groups and how extension interventions could be designed to deliver combined information on agriculture and nutrition. This study uses unique network data from 815 farm households in Kenya to investigate the structure and characteristics of agricultural and nutrition information networks within farmer groups. Dyadic regressions are used to analyze the factors influencing link formation for the exchange of agricultural and nutrition information. In addition, we apply fixed‐effects models to identify the characteristics of central persons driving information exchange in the two networks, as well as potentially isolated persons, who are excluded from information networks within their farmer groups. Our results show that nutrition information is exchanged within farmer groups, although to a limited extent, and mostly flows through the existing agricultural information links. Thus, diffusing nutrition information through agricultural extension systems may be a viable approach. Our findings further suggest that group leaders and persons living in central locations are important drivers in the diffusion of information in both networks and may thus serve as suitable entry points for nutrition‐sensitive extension programs. However, we also identify important heterogeneities in network characteristics. In particular, nutrition information is less often exchanged between men and women, and some group members are completely isolated from nutrition information exchange within their farmer groups. We derive recommendations on taking these differences in network structure and characteristics into account when designing nutrition‐sensitive extension programs.

Suggested Citation

  • Lisa Jäckering & Theda Gödecke & Meike Wollni, 2019. "Agriculture–nutrition linkages in farmers’ communication networks," Agricultural Economics, International Association of Agricultural Economists, vol. 50(5), pages 657-672, September.
  • Handle: RePEc:bla:agecon:v:50:y:2019:i:5:p:657-672
    DOI: 10.1111/agec.12516
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    Cited by:

    1. Salvatore Di Falco & Angela Doku & Avichal Mahajan, 2020. "Peer effects and the choice of adaptation strategies," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 17-30, January.
    2. Muthini, Davis & Nzuma, Jonathan & Qaim, Matin, 2020. "Subsistence production, markets, and dietary diversity in the Kenyan small farm sector," Food Policy, Elsevier, vol. 97(C).
    3. Kusnandar, Kusnandar & Apriliyani, Eki Karsani & Wicaksono, Adityo & Saville, Ramadhona, 2024. "Local supply chain actor roles in farmer organisation information networks: Empirical findings from two Indonesian farmer organisations," World Development Perspectives, Elsevier, vol. 35(C).
    4. Shijun Gao & Carola Grebitus & Troy Schmitz, 2023. "Communication in times of crisis: Information flow among Chinese hog producers during the African swine fever outbreak," Agribusiness, John Wiley & Sons, Ltd., vol. 39(4), pages 1279-1299, October.
    5. Neubauer, Florian & Songsermsawas, Tisorn & Kámiche-Zegarra, Joanna N. & Bravo-Ureta, Boris E., 2021. "Technology and Technical Efficiency Gaps Correcting for Selectivity Bias: A Preliminary Analysis from a Value Chain Project in Nepal," 2021 Conference, August 17-31, 2021, Virtual 314979, International Association of Agricultural Economists.

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