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One Size Fits All? Experimental Evidence on the Digital Delivery of Personalized Extension Advice in Nigeria

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  • Aminou Arouna
  • Jeffrey D. Michler
  • Wilfried G. Yergo
  • Kazuki Saito

Abstract

Blanket advice on optimal fertilizer application rates has failed to achieve potential yield gains for crop production in much of Sub‐Saharan Africa. However, digital technology now makes it possible to deliver personalized extension services to farmers at a much lower cost. We present results from a randomized control trial designed to evaluate the effectiveness of a mobile application that provides personalized advice on rice nutrient management. We find that households who were just given the personalized advice increase their yield by 7% and increase their profit by 10%. On average, personalized advice increases yields without increasing the overall quantity of fertilizer used. We conclude that the scaling of personalized extension services could improve productivity and livelihoods in Sub‐Saharan Africa without necessarily increasing the total amount of fertilizer in use.

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  • Aminou Arouna & Jeffrey D. Michler & Wilfried G. Yergo & Kazuki Saito, 2021. "One Size Fits All? Experimental Evidence on the Digital Delivery of Personalized Extension Advice in Nigeria," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 596-619, March.
  • Handle: RePEc:wly:ajagec:v:103:y:2021:i:2:p:596-619
    DOI: 10.1111/ajae.12151
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    Cited by:

    1. Arouna, Aminou & Michler, Jeffrey D. & Lokossou, Jourdain C., 2021. "Contract farming and rural transformation: Evidence from a field experiment in Benin," Journal of Development Economics, Elsevier, vol. 151(C).
    2. Lin, Yang & Hu, Ruifa & Zhang, Chao & Chen, Kevin, 2022. "The role of public agricultural extension services in driving fertilizer use in rice production in China," Ecological Economics, Elsevier, vol. 200(C).
    3. Elizabeth Ahikiriza & Joshua Wesana & Xavier Gellynck & Guido Van Huylenbroeck & Ludwig Lauwers, 2021. "Context Specificity and Time Dependency in Classifying Sub-Saharan Africa Dairy Cattle Farmers for Targeted Extension Farm Advice: The Case of Uganda," Agriculture, MDPI, vol. 11(9), pages 1-19, August.
    4. Campenhout, Bjorn Van, 2021. "ICTs to Address Information Inefficiencies in Food Supply Chains," 2021 Conference, August 17-31, 2021, Virtual 313801, International Association of Agricultural Economists.
    5. Baozhi Li & Ni Zhuo & Chen Ji & Qibiao Zhu, 2022. "Influence of Smartphone-Based Digital Extension Service on Farmers’ Sustainable Agricultural Technology Adoption in China," IJERPH, MDPI, vol. 19(15), pages 1-14, August.
    6. Julissa Alexandra Galarza-Villamar & Mariette McCampbell & Andres Galarza-Villamar & Cees Leeuwis & Francesco Cecchi & John Galarza-Rodrigo, 2021. "A Public Bad Game Method to Study Dynamics in Socio-Ecological Systems (Part II): Results of Testing Musa-Game in Rwanda and Adding Emergence and Spatiality to the Analysis," Sustainability, MDPI, vol. 13(16), pages 1-27, August.

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