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The agricultural mechanization in Africa: micro-level analysis of state, drivers and effects

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  • Kirui, Oliver Kiptoo

Abstract

This paper examines the state, drivers and, consequently, the impacts of agricultural mechanization in eleven countries in Africa. Using representative multistage stratified household survey data and robust analytical approaches, findings show light hand-held tools and equipment remain the main type of machinery in most countries – about 48% of the sampled households have access to light machinery compared to 35% that have access to animal-powered machinery, and only about 18% that use tractor-powered machinery. Significant drivers of agricultural mechanization include the size of the household, gender of the household head, participation in off-farm economic activities, distance to the input and output markets, farm size, land tenure, type of farming system, access to extension services, and use of fertilizer and pesticides. This study finds that after controlling for socio-economic, demographic, and regional determinants, agricultural mechanization, significantly increases the amount of cropland cultivated (extensification) and is also accompanied by input intensification especially in countries where land expansion is limited. We further find significant but mixed impact of agricultural mechanization on use of household and hired labor. Finally, agricultural mechanization significantly raises the productivity of maize and rice in all cases. These findings point to the importance of developing favorable arrangements that would avail mechanization to small and medium scale farmers. This would involve providing incentives for private sector to scale agricultural mechanization initiatives and targeting and engaging women farmers and the youth by investing in supportive infrastructure and training.
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Suggested Citation

  • Kirui, Oliver Kiptoo, 2019. "The agricultural mechanization in Africa: micro-level analysis of state, drivers and effects," 2019 Sixth International Conference, September 23-26, 2019, Abuja, Nigeria 295819, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae19:295819
    DOI: 10.22004/ag.econ.295819
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    Cited by:

    1. Aryal, Jeetendra Prakash & Rahut, Dil Bahadur & Thapa, Ganesh & Simtowe, Franklin, 2021. "Mechanisation of small-scale farms in South Asia: Empirical evidence derived from farm households survey," Technology in Society, Elsevier, vol. 65(C).
    2. Christiaensen, Luc & Rutledge, Zachariah & Taylor, J. Edward, 2020. "The Future of Work in Agriculture - Some Reflections," Jobs Group Papers, Notes, and Guides 32012537, The World Bank.
    3. Khanal Arjun Prasad, 2020. "A Case Of Palpa District Of Nepal," Acta Mechanica Malaysia (AMM), Zibeline International Publishing, vol. 3(1), pages 16-19, May.
    4. Omulo, Godfrey & Daum, Thomas & Köller, Karlheinz & Birner, Regina, 2024. "Unpacking the behavioral intentions of ‘emergent farmers’ towards mechanized conservation agriculture in Zambia," Land Use Policy, Elsevier, vol. 136(C).
    5. Hamza Ahmed & Erika E. Miller, 2023. "Quantifying the Economic Impact on Farmers from Agricultural Machinery: A Case Study of Farmers in Sudan," World, MDPI, vol. 4(2), pages 1-13, June.
    6. Christiaensen, Luc & Rutledge, Zachariah & Taylor, J. Edward, 2021. "Viewpoint: The future of work in agri-food," Food Policy, Elsevier, vol. 99(C).
    7. Aihounton, Ghislain & Christiaensen, Luc, 2024. "Does agricultural intensification pay in the context of structural transformation?," Food Policy, Elsevier, vol. 122(C).
    8. Kubitza, Christoph & Vijesh, Krishna V. & Klasen, Stephan & Kopp, Thomas & Nuryartono, Nunung & Qaim, Matin, 2021. "Labor Displacement in Agriculture: The Case of Oil Palm in Indonesia," 2021 Conference, August 17-31, 2021, Virtual 314982, International Association of Agricultural Economists.
    9. Thomas Daum & Filippo Capezzone & Regina Birner, 2021. "Using smartphone app collected data to explore the link between mechanization and intra-household allocation of time in Zambia," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(2), pages 411-429, June.
    10. Zhi Li & Ming Zhu & Huang Huang & Yu Yi & Jingyi Fu, 2022. "Influencing Factors and Path Analysis of Sustainable Agricultural Mechanization: Econometric Evidence from Hubei, China," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    11. 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.

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    Keywords

    International Development; Productivity Analysis;

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