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Incentives and the Diffusion of Agricultural Knowledge: Experimental Evidence from Northern Uganda

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  • Kelvin Mashisia Shikuku
  • Janneke Pieters
  • Erwin Bulte
  • Peter Läderach

Abstract

We present results of a randomized evaluation that assesses the effects of different incentives for diffusion of agricultural knowledge by smallholders in northern Uganda. Randomly-selected disseminating farmers (DFs) from a large sample of villages are assigned to one of three experimental arms: (a) training about climate smart agriculture, (b) training plus a material reward for knowledge diffusion, and (c) training plus a reputational gain for knowledge diffusion. We find that leveraging somebody’s reputation (or social recognition) has a positive impact on DFs’ experimentation and diffusion effort. This impact is stronger than that measured in the private material rewards treatment.

Suggested Citation

  • Kelvin Mashisia Shikuku & Janneke Pieters & Erwin Bulte & Peter Läderach, 2019. "Incentives and the Diffusion of Agricultural Knowledge: Experimental Evidence from Northern Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(4), pages 1164-1180.
    • Handle: RePEc:oup:ajagec:v:101:y:2019:i:4:p:1164-1180.
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    File URL: http://hdl.handle.net/10.1093/ajae/aaz010
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    Cited by:

    1. Sadick Mohammed & Awudu Abdulai, 2022. "Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana," Journal of Productivity Analysis, Springer, vol. 58(2), pages 109-128, December.
    2. Kate Vaiknoras & Catherine Larochelle, 2023. "Training and seed production spillovers and technology adoption: The case of seed producer groups in Nepal," Agricultural Economics, International Association of Agricultural Economists, vol. 54(6), pages 921-942, November.
    3. Denise Hörner & Adrien Bouguen & Markus Frölich & Meike Wollni, 2022. "Knowledge and Adoption of Complex Agricultural Technologies: Evidence from an Extension Experiment," The World Bank Economic Review, World Bank, vol. 36(1), pages 68-90.
    4. Shikuku, Kelvin Mashisia & Tran, Nhuong & Joffre, Olivier M. & Islam, Abu Hayat Md Saiful & Barman, Benoy Kumar & Ali, Shawquat & Rossignoli, Cristiano M., 2021. "Lock-ins to the dissemination of genetically improved fish seeds," Agricultural Systems, Elsevier, vol. 188(C).
    5. Olivia Bertelli & Fatou Fall, 2023. "Reaching out to socially distant trainees. Experimental evidence from variations on the standard farmer trainer system," Working Papers DT/2023/03, DIAL (Développement, Institutions et Mondialisation).
    6. He, Ke & Zhang, Junbiao & Zeng, Yangmei, 2020. "Households’ willingness to pay for energy utilization of crop straw in rural China：Based on an improved UTAUT model," Energy Policy, Elsevier, vol. 140(C).
    7. Kazushi Takahashi & Rie Muraoka & Keijiro Otsuka, 2020. "Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 31-45, January.
    8. Bertelli, Olivia & Fall, Fatou, 2022. "Motivating Farmer Trainers. Experimental evidence from rural Uganda," 96th Annual Conference, April 4-6, 2022, K U Leuven, Belgium 321175, Agricultural Economics Society - AES.
    9. Kexiao Xie & Yuerui Zhu & Yongqiang Ma & Youcheng Chen & Shuiji Chen & Zhidan Chen, 2022. "Willingness of Tea Farmers to Adopt Ecological Agriculture Techniques Based on the UTAUT Extended Model," IJERPH, MDPI, vol. 19(22), pages 1-14, November.
    10. Alem, Yonas & Dugoua, Eugenie, 2021. "Learning from unincentivized and incentivized communication: A randomized controlled trial in India," Ruhr Economic Papers 895, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    11. Sinyolo, Sikhulumile, 2020. "Technology adoption and household food security among rural households in South Africa: The role of improved maize varieties," Technology in Society, Elsevier, vol. 60(C).
    12. Adjognon,Guigonan Serge & Nguyen Huy,Tung & Guthoff,Jonas Christoph & van Soest,Daan, 2022. "Incentivizing Social Learning for the Diffusion of Climate-Smart Agricultural Techniques," Policy Research Working Paper Series 10041, The World Bank.
    13. Alem, Yonas & Hassen, Sied & Köhlin, Gunnar, 2023. "Decision-making within the household: The role of division of labor and differences in preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 511-528.
    14. Annemie Maertens & Hope Michelson & Vesall Nourani, 2021. "How Do Farmers Learn from Extension Services? Evidence from Malawi," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 569-595, March.
    15. Alem, Yonas & Dugoua, Eugenie, 2022. "Learning from unincentivized and incentivized communication: a randomized controlled trial in India," LSE Research Online Documents on Economics 110858, London School of Economics and Political Science, LSE Library.
    16. Balaine, Lorraine & Buckley, Cathal & Dillon, Emma J., 2022. "Mixed public-private and private extension systems: A comparative analysis using farm-level data from Ireland," Land Use Policy, Elsevier, vol. 117(C).

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