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Changes in Use of Communication Channels by Livestock Farmers during the COVID-19 Pandemic

Author

Listed:
  • Karmen Erjavec

    (Faculty of Economic and Informatics, University of Novo Mesto, Na Loko 2, 8000 Novo Mesto, Slovenia)

  • Marjan Janžekovič

    (Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311 Hoče, Slovenia)

  • Milena Kovač

    (Biotechnical Faculty, University of Ljubljana, Groblje 3, 1230 Domžale, Slovenia)

  • Mojca Simčič

    (Biotechnical Faculty, University of Ljubljana, Groblje 3, 1230 Domžale, Slovenia)

  • Andrej Mergeduš

    (Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311 Hoče, Slovenia)

  • Dušan Terčič

    (Biotechnical Faculty, University of Ljubljana, Groblje 3, 1230 Domžale, Slovenia)

  • Marija Klopčič

    (Biotechnical Faculty, University of Ljubljana, Groblje 3, 1230 Domžale, Slovenia)

Abstract

The study aims to identify any changes in the communication channels used by Slovenian livestock farmers before and during the COVID-19 pandemic, as well as the main (dis)advantages of relying on them. An online survey was completed by 502 Slovenian farmers of various farm enterprises in winter 2020/2021. Most respondents generally used telephone, e-mail, and the internet to obtain agricultural information before and during the COVID-19 pandemic. During the pandemic, farmers increasingly relied on online conferences and social networking sites. At the same time, younger farmers and farmers with a higher education level used digital channels the most frequently, with men doing so more often than women. Digital channels were primarily used by cattle and horse farmers, while cattle farmers showed the greatest online conference participation. Respondents reported having more time to spend with their families and animals as an advantage and the lack of face-to-face interaction with other farmers and advisers as a disadvantage of such communication patterns. As the study reveals differences in the use of communication channels during the COVID-19 pandemic by various farmers, a new communication strategy is needed that involves the use of appropriate communication channels to provide farmers with agricultural information both during the COVID-19 situation and later.

Suggested Citation

  • Karmen Erjavec & Marjan Janžekovič & Milena Kovač & Mojca Simčič & Andrej Mergeduš & Dušan Terčič & Marija Klopčič, 2021. "Changes in Use of Communication Channels by Livestock Farmers during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(18), pages 1-14, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10064-:d:631501
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    References listed on IDEAS

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    1. Garforth, Chris & Usher, Richard, 1997. "Promotion and uptake pathways for research output: a review of analytical frameworks and communication channels," Agricultural Systems, Elsevier, vol. 55(2), pages 301-322, October.
    2. Aker, Jenny C. & Ksoll, Christopher, 2016. "Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger," Food Policy, Elsevier, vol. 60(C), pages 44-51.
    3. Eduardo Nakasone & Maximo Torero, 2016. "A text message away: ICTs as a tool to improve food security," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 49-59, November.
    4. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
    5. Coombs, W. Timothy, 2015. "The value of communication during a crisis: Insights from strategic communication research," Business Horizons, Elsevier, vol. 58(2), pages 141-148.
    6. Luigi Mastronardi & Aurora Cavallo & Luca Romagnoli, 2020. "Diversified Farms Facing the Covid-19 Pandemic: First Signals from Italian Case Studies," Sustainability, MDPI, vol. 12(14), pages 1-12, July.
    7. Kinya K. Kigatiira & Hellen K. Mberia & Kyalo wa Ngula, 2018. "The Effect of Communication Channels used between Extension Officers and Farmers on the Adoption of Irish Potato Farming," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(4), pages 377-391, April.
    8. Alba Vázquez-López & Martín Barrasa-Rioja & Manuel Marey-Perez, 2021. "ICT in Rural Areas from the Perspective of Dairy Farming: A Systematic Review," Future Internet, MDPI, vol. 13(4), pages 1-18, April.
    9. Gisela Redondo-Sama & Virginia Matulic & Ariadna Munté-Pascual & Irene de Vicente, 2020. "Social Work during the COVID-19 Crisis: Responding to Urgent Social Needs," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    10. Mostaghel, Rana, 2016. "Innovation and technology for the elderly: Systematic literature review," Journal of Business Research, Elsevier, vol. 69(11), pages 4896-4900.
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