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Determinants of Agricultural Technology adoption: the case of improved groundnut varieties in Malawi

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  • Simtowe, Franklin
  • Asfaw, Solomon
  • Diagne, Aliou
  • Shiferaw, Bekele A.

Abstract

This paper applies the Average Treatment Effect (ATE) framework on data obtained from a random cross-section sample of 594 farmers in Malawi to document the actual and potential adoption rates of improved groundnut varieties and their determinants conditional on farmers’ awareness of the technology. The fact that not all farmers are exposed to the new technologies makes it difficult to obtain consistent estimates of population adoption rates and their determinants using direct sample estimates and classical adoption models such as probit or tobit. Our approach tries to control for exposure and selection bias in assessing the adoption rate of technology and its determinants. Results indicate that only 26% of the sampled farmers grew at least one of the improved groundnut varieties. The potential adoption rate of improved groundnut for the population is estimated at 37% and the adoption gap resulting from the incomplete exposure of the population to the improved groundnut is 12%. We further find that the awareness of improved varieties is mainly influenced by information access variables, while adoption is largely influenced by economic constraints. The findings are indicative of the relatively large unmet demand for improved groundnut varieties suggesting that there is scope for increasing the adoption rate of improved groundnut varieties in Malawi once the farmers are made aware of the technologies and if other constraints such as lack of access to credit are addressed.

Suggested Citation

  • Simtowe, Franklin & Asfaw, Solomon & Diagne, Aliou & Shiferaw, Bekele A., 2010. "Determinants of Agricultural Technology adoption: the case of improved groundnut varieties in Malawi," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 95921, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae10:95921
    DOI: 10.22004/ag.econ.95921
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    References listed on IDEAS

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    1. Fernandez-Cornejo, Jorge & McBride, William D., 2002. "Adoption Of Bioengineered Crops," Agricultural Economic Reports 33957, United States Department of Agriculture, Economic Research Service.
    2. Diop, Ndiame & Beghin, John & Sewadeh, Mirvat, 2004. "Groundnut policies, global trade dynamics, and the impact of trade liberalization," Policy Research Working Paper Series 3226, The World Bank.
    3. Allan Shampine, 1998. "Compensating for Information Externalities in Technology Diffusion Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 337-346.
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    Cited by:

    1. Hassan, M.B. & Baiyegunhi, L.J.S. & Ortmann, G. F. & Abdoulaye, T., 2016. "Adoption of striga (striga hermonthica) Management Technologies in Northern Nigeria," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 55(01-2), May.
    2. Manda, Julius & Khonje, Makaiko G. & Alene, Arega D. & Gondwe, Therese, 2017. "Welfare impacts of improved groundnut varieties in eastern Zambia: A heterogeneous treatment effects approach," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 56(4), December.
    3. Ibrahim, Mohammed & Florkowski, Wojciech, 2015. "Analysis of Farmers’ Willingness to Adopt Improved Peanut Varieties in Northern Ghana with the use of Baseline Survey Data," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 197049, Southern Agricultural Economics Association.
    4. Tanellari, Eftila & Kostandini, Genti & Bonabana-Wabbi, Jackline, 2013. "Gender Impacts on Adoption of New Technologies: Evidence from Uganda," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143204, Southern Agricultural Economics Association.
    5. Kankwamba, Henry & Mangisoni, Julius H. & Simtowe, Franklin & Mausch, Kai & Siambi, Moses, 2012. "Improved Legume Seed Demand Systems In Central Malawi: What Do Farmers’ Seed Expenditures Say About Their Preferences?," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 131684, International Association of Agricultural Economists.
    6. Felister Y. Tibamanya & Mursali A. Milanzi & Arne Henningsen, 2021. "Drivers of and Barriers to Adoption of Improved Sun- flower Varieties amongst Smallholder Farmers in Singida, Tanzania: the Double-Hurdle Approach," IFRO Working Paper 2021/03, University of Copenhagen, Department of Food and Resource Economics.
    7. repec:ags:ijag24:346858 is not listed on IDEAS
    8. Ibrahim, Mohammed & Florkowski, Wojciech J. & Kolavalli, Shashidhara, 2012. "Determinants of Farmer Adoption of Improved Peanut Varieties and their Impact on Farm Income: Evidence from Northern Ghana," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 125000, Agricultural and Applied Economics Association.

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