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Agricultural intensification and efficiency in the West African savannas: evidence from northern Nigeria

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Listed:
  • Okike, I.O.
  • Jabbar, Mohammad A.
  • Manyong, Victor M.
  • Smith, J.W.
  • Akinwumi, J.A.
  • Ehui, Simeon K.

Abstract

Agricultural intensification in West Africa is in its early stages and several hypotheses have been postulated about its evolution and possible pathways. In addition, farm efficiency may vary across farms and other socio-economic domains, opening opportunities to improve efficiency and productivity through reallocation of current resources and introducing new technologies that target farmers. A survey was conducted among 559 households in 8 villages, 4 each in the northern Guinea savannah (NGS) and Sudan savannah (SS) zones of northern Nigeria, each representing a combination of high or low population density and high or low market access, to test these hypotheses.

Suggested Citation

  • Okike, I.O. & Jabbar, Mohammad A. & Manyong, Victor M. & Smith, J.W. & Akinwumi, J.A. & Ehui, Simeon K., 2001. "Agricultural intensification and efficiency in the West African savannas: evidence from northern Nigeria," Research Reports 182891, International Livestock Research Institute.
    • Handle: RePEc:ags:ilrirr:182891
    DOI: 10.22004/ag.econ.182891
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    References listed on IDEAS

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    Cited by:

    1. V. M. Manyong & I. Okike & T. O. Williams, 2006. "Effective dimensionality and factors affecting crop‐livestock integration in West African savannas: a combination of principal component analysis and Tobit approaches," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 145-155, September.
    2. Arega Alene & V. Manyong, 2007. "The effects of education on agricultural productivity under traditional and improved technology in northern Nigeria: an endogenous switching regression analysis," Empirical Economics, Springer, vol. 32(1), pages 141-159, April.
    3. Gebrekidan, B.H., 2018. "Modeling Farmers Intensi cation Decisions with a Bayesian Belief Network: The case of the Kilombero Floodplain in Tanzania," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277081, International Association of Agricultural Economists.
    4. Berkhout, E.D. & Schipper, R.A. & Van Keulen, H. & Coulibaly, O., 2011. "Heterogeneity in farmers' production decisions and its impact on soil nutrient use: Results and implications from northern Nigeria," Agricultural Systems, Elsevier, vol. 104(1), pages 63-74, January.
    5. Bisrat Haile Gebrekidan & Thomas Heckelei & Sebastian Rasch, 2023. "Modeling intensification decisions in the Kilombero Valley floodplain: A Bayesian belief network approach," Agricultural Economics, International Association of Agricultural Economists, vol. 54(1), pages 23-43, January.
    6. Lenne, J.M. & Wood, D., 2004. "Is there a 'logic of fodder legumes' in Africa?," Food Policy, Elsevier, vol. 29(5), pages 565-585, October.
    7. P. Kristjanson & I. Okike & S. Tarawali & B. B. Singh & V. M. Manyong, 2005. "Farmers' perceptions of benefits and factors affecting the adoption of improved dual‐purpose cowpea in the dry savannas of Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 32(2), pages 195-210, March.
    8. Arega D. Alene & V. M. Manyong, 2006. "Farmer‐to‐farmer technology diffusion and yield variation among adopters: the case of improved cowpea in northern Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 35(2), pages 203-211, September.
    9. Tiffen, Mary, 2003. "Transition in Sub-Saharan Africa: Agriculture, Urbanization and Income Growth," World Development, Elsevier, vol. 31(8), pages 1343-1366, August.
    10. Osei-Mensah, Isaac & Asante, Bright Owusu & Owusu, Victor & Donkor, Emmanuel & Boansi, David, 2021. "Productivity Differences in Small Scale Palm Oil Processors Using Different Processing Technologies in Ghana," 2021 Conference, August 17-31, 2021, Virtual 315850, International Association of Agricultural Economists.

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