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Factors enhancing agricultural productivity under innovation technology: Insights from Cameroon

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  • Francis Andrianarison
  • Cyrille Bergaly Kamdem
  • Blaise Che Kameni

Abstract

This paper analyzes the impact of innovation adoption, namely, improved seeds or modern equipment and examines the effects of farmer education, access to credit, and land tenure security on agricultural productivity in Cameroon. We take advantage of a nationally representative survey to analyze factors affecting the probability of adopting innovation and their effects on productivity. We use the Heckman procedure to address potential selection bias. The results reveal significant productivity-enhancing effects of these key factors. They enhance agricultural productivity following innovation adoption and typically promote adoption itself. The propensity to adopt innovation and the potential gain in productivity increase with education level. Credit permits farmers to adopt the innovation and to purchase high-efficiency pesticides and fertilizers. Therefore, agricultural production increases in a timely and appropriate manner. Conditional on adopting innovation, tertiary education will produce a 16.5% to 18.3% increase in yield in value per ha, while access to credit leads a 10.9% to 15.5% gains. Our findings contribute to a better understanding of factors enhancing agricultural productivity under innovation technology and have important policy implications. The adoption of improved varieties or modern equipment alone is not sufficient to boost crop yield. Other productivity-enhancing factors should be promoted to exploit their full yield potential.

Suggested Citation

  • Francis Andrianarison & Cyrille Bergaly Kamdem & Blaise Che Kameni, 2022. "Factors enhancing agricultural productivity under innovation technology: Insights from Cameroon," African Journal of Science, Technology, Innovation and Development, Taylor & Francis Journals, vol. 14(5), pages 1173-1183, July.
  • Handle: RePEc:taf:rajsxx:v:14:y:2022:i:5:p:1173-1183
    DOI: 10.1080/20421338.2021.1937816
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    Cited by:

    1. Samatar, Elmi Hassan, 2023. "Assessing the determinants of agricultural productivity in Somalia: An application of an ARDL model," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 13(03), January.
    2. Wongpit, P. & Sisengnam, K., 2024. "Innovation Models in Agriculture and Rural Development in the Lao PDR," ASEAN University for Sustainable Food System, Faculty of Economics, Kasetsart University, Bangkok, Thailand, April 18-19, 2024 344455, Association of Southeast Asian Nations (ASEAN).

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