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Socio-economic determinants of agricultural mechanisation in Africa: A research note based on cassava cultivation mechanisation

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  • Adekunle, Ademola
  • Osazuwa, Peter
  • Raghavan, Vijaya

Abstract

While global agricultural mechanisation is on the increase, societal resistance has left its adoption stagnant in developing countries. Optimizing the successful adoption of mechanized processes in these countries involves amongst other things, identification of salient problems and adequate planning to prevent them. This note highlights some possible causes of perceived societal resistance to mechanized farming in light of the limited progress in the mechanisation of one of Africa's leading crops, cassava (Manihot esculenta Crantz). Potential approaches to improving the development and adoption of mechanisation for this crop and region as well as the research gaps preventing adoption success forms the discussions in this note.

Suggested Citation

  • Adekunle, Ademola & Osazuwa, Peter & Raghavan, Vijaya, 2016. "Socio-economic determinants of agricultural mechanisation in Africa: A research note based on cassava cultivation mechanisation," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 313-319.
    • Handle: RePEc:eee:tefoso:v:112:y:2016:i:c:p:313-319
    DOI: 10.1016/j.techfore.2016.09.003
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    Cited by:

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    2. Masoud Yazdanpanah & Kurt Klein & Tahereh Zobeidi & Stefan Sieber & Katharina Löhr, 2022. "Why Have Economic Incentives Failed to Convince Farmers to Adopt Drip Irrigation in Southwestern Iran?," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    3. Ismaila, Salifu & Tanko, Mohammed, 2021. "Exploring relative deprivation theory in the rice industry: Planting for Food and Jobs (PFJ) in northern Ghana," Technology in Society, Elsevier, vol. 65(C).
    4. Zhou, Xiaoshi & Ma, Wanglin, 2021. "Effects of Agricultural Mechanization on Land Productivity: Evidence from China," 2021 Conference, August 17-31, 2021, Virtual 315143, International Association of Agricultural Economists.
    5. Roberts, Cameron & Greene, Jenna & Nemet, Gregory F., 2023. "Key enablers for carbon dioxide removal through the application of biochar to agricultural soils: Evidence from three historical analogues," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    6. Xiaoshi Zhou & Wanglin Ma & Gucheng Li & Huanguang Qiu, 2020. "Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1282-1307, October.
    7. Tanko, Mohammed & Ismaila, Salifu, 2021. "How culture and religion influence the agriculture technology gap in Northern Ghana," World Development Perspectives, Elsevier, vol. 22(C).
    8. Ademola Adekunle & Darwin Lyew & Valérie Orsat & Vijaya Raghavan, 2018. "Helping Agribusinesses—Small Millets Value Chain—To Grow in India," Agriculture, MDPI, vol. 8(3), pages 1-11, March.
    9. Idelphonse O. Saliou & Afio Zannou & Augustin K. N. Aoudji & Albert N. Honlonkou, 2020. "Drivers of Mechanization in Cotton Production in Benin, West Africa," Agriculture, MDPI, vol. 10(11), pages 1-13, November.
    10. Yin, Guanqiu & You, Yuxuan & Han, Xiaoyan & Chen, Di, 2024. "The effect of agricultural scale management on farmers' income from a dual-scale perspective: Evidence from rural China," International Review of Economics & Finance, Elsevier, vol. 94(C).

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