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Are agricultural technologies pro-poor? The case of improved cassava varieties in sub-Saharan Africa

Author

Listed:
  • Feleke, S.
  • Manyong, V.
  • Abdoulaye, T.
  • Alene, A.
  • Wossen, T.
  • Dontsop, P.

Abstract

The paper assesses whether, and if so, to what extent, the adoption of improved cassava varieties are more favourable towards the food insecure (pro-poor) as measured by the share of overall benefits. Data for this study came from a household survey conducted in Tanzania, DR Congo, Sierra Leone and Zambia through multinational-CGIAR support to agricultural research for development of strategic crops project in Africa. Given the observational nature of the data, a parametric approach (endogenous switching and Poisson regression model) was applied, accounting for potential self-selection bias that may arise from unobserved heterogeneities. Results provided consistent findings that adoption of cassava varieties decreased the rate, depth and severity of food insecurity. Decomposition of the overall average gains in calories due to adoption resulted in over four-fifths accruing to food insecure, compared to only one-fifth accruing to the food secure group. This implies that the impacts of cassava varieties are more favourable towards the food insecure than the food secure and thus present important evidence on the effectiveness of the adoption of cassava technology for reducing the rate and depth of food insecurity in sub-Saharan Africa. Acknowledgement : The authors wish to thank the African Development Bank (AfDB) for supporting the multinational-CGIAR support to agricultural research for development of strategic crops (SARD-SC) in Africa project that made possible the collection of the data used in the study. We are also thankful to the International Institute of Tropical Agriculture for supporting this study.

Suggested Citation

  • Feleke, S. & Manyong, V. & Abdoulaye, T. & Alene, A. & Wossen, T. & Dontsop, P., 2018. "Are agricultural technologies pro-poor? The case of improved cassava varieties in sub-Saharan Africa," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277196, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277196
    DOI: 10.22004/ag.econ.277196
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    References listed on IDEAS

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    1. Solomon Asfaw & Menale Kassie & Franklin Simtowe & Leslie Lipper, 2012. "Poverty Reduction Effects of Agricultural Technology Adoption: A Micro-evidence from Rural Tanzania," Journal of Development Studies, Taylor & Francis Journals, vol. 48(9), pages 1288-1305, September.
    2. Rusike, J. & Mahungu, N.M. & Jumbo, S. & Sandifolo, V.S. & Malindi, G., 2010. "Estimating impact of cassava research for development approach on productivity, uptake and food security in Malawi," Food Policy, Elsevier, vol. 35(2), pages 98-111, April.
    3. Nweke, Felix, 2004. "New challenges in the cassava transformation in Nigeria and Ghana:," EPTD discussion papers 118, International Food Policy Research Institute (IFPRI).
    4. Shiferaw, Bekele & Kassie, Menale & Jaleta, Moti & Yirga, Chilot, 2014. "Adoption of improved wheat varieties and impacts on household food security in Ethiopia," Food Policy, Elsevier, vol. 44(C), pages 272-284.
    5. Alfonso Miranda, 2004. "FIML estimation of an endogenous switching model for count data," Stata Journal, StataCorp LP, vol. 4(1), pages 40-49, March.
    6. Rusike, J. & Mahungu, N.M. & Lukombo, S.S. & Kendenga, T. & Bidiaka, S.M. & Alene, A. & Lema, A. & Manyong, V.M., 2014. "Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo," Food Policy, Elsevier, vol. 46(C), pages 193-204.
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    1. Wiredu, Alexander Nimo & Manda, Julius & Feleke, Shiferaw & Asante, Bright Owusu & Savala, Canon Engoke & Kyei-Boahen, Stephen & Manyong, Victor & Alene, Arega, 2021. "Impacts of Quality Seeds of Improved Legume Varieties on Incomes and Poverty in Mozambique: An Ordered Choice Endogenous Switching Regression Analysis," 2021 Conference, August 17-31, 2021, Virtual 315294, International Association of Agricultural Economists.

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