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Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria

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  • Oyakhilomen, Oyinbo
  • Chamberlin, Jordan
  • Maertens, Miet

Abstract

Given the marked heterogeneous conditions in smallholder agriculture in Sub‐Saharan Africa, there is a growing policy interest in site‐specific extension advice and the use of digital extension tools to provide site‐specific information. Empirical ex‐ante studies on the design of digital extension tools and their use are rare. Using data from a choice experiment in Nigeria, we elicit and analyze the preferences of extension agents for major design features of ICT‐enabled decision support tools (DSTs) aimed at site‐specific nutrient management extension advice. We estimate different models, including mixed logit, latent class and attribute non‐attendance models. We find that extension agents are generally willing to use such DSTs and prefer a DST with a more user‐friendly interface that requires less time to generate results. We also find that preferences are heterogeneous: some extension agents care more about the effectiveness‐related features of DSTs, such as information accuracy and level of detail, while others prioritise practical features, such as tool platform, language and interface ease‐of‐use. Recognising and accommodating such preference differences may facilitate the adoption of DSTs by extension agents and thus enhance the scope for such tools to impact the agricultural production decisions of farmers.
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  • Oyakhilomen, Oyinbo & Chamberlin, Jordan & Maertens, Miet, 2019. "Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria," Working Papers 291525, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
  • Handle: RePEc:ags:kucawp:291525
    DOI: 10.22004/ag.econ.291525
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    6. Ni Zhuo & Baozhi Li & Qibiao Zhu & Chen Ji, 2023. "Smartphone‐based agricultural extension services and farm incomes: Evidence from Zhejiang Province in China," Review of Development Economics, Wiley Blackwell, vol. 27(3), pages 1383-1402, August.
    7. Zhuo, Ni & Ji, Chen & Li, Baozhi & Zhu, Qibiao & Jin, Songqing, 2023. "Estimating the effects of new smartphone-based agricultural service adoption on agricultural productivity in Zhejiang Province," 2023 Annual Meeting, July 23-25, Washington D.C. 335635, Agricultural and Applied Economics Association.

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    Farm Management; Productivity Analysis; Research and Development/Tech Change/Emerging Technologies;
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