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Improved Maize Technologies and Welfare Outcomes In Smallholder Systems: Evidence From Application of Parametric and Non-Parametric Approaches

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  • Kassie, Menale
  • Jaleta, Moti
  • Shiferaw, Bekele A.
  • Mmbando, Frank
  • De Groote, Hugo

Abstract

This paper analyses the impact of the intensity of improved maize varieties adoption on food security and poverty using data collected in 2010 from maize-legume farming systems in rural Tanzania. We used a continuous treatment approach using generalized propensity score matching and parametric error correction approaches to reduce potential biases stemming from difference in observed characteristics. Estimates of the dose-response functions reveal that average probability of food security, average per capita food expenditure and the average probability of break-even and food surplus increase with the intensity of adoption. On the other hand, the probability of being poor, chronic and transitory food insecurity declines with the intensity of adoption. The results provide strong evidence for heterogeneous food security impacts at different levels of adoption. At low levels of adoption, the average and marginal treatment effects are low while the food security impacts increase substantially at higher level of adoption.

Suggested Citation

  • Kassie, Menale & Jaleta, Moti & Shiferaw, Bekele A. & Mmbando, Frank & De Groote, Hugo, 2012. "Improved Maize Technologies and Welfare Outcomes In Smallholder Systems: Evidence From Application of Parametric and Non-Parametric Approaches," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 128004, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae12:128004
    DOI: 10.22004/ag.econ.128004
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    2. Emiliano Magrini & Mauro Vigani, 2016. "Technology adoption and the multiple dimensions of food security: the case of maize in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(4), pages 707-726, August.
    3. Nyang’au, Paul Nyamweya & Nzuma, Jonathan & Irungu, Patrick & Muriithi, Beatrice, 2018. "A Thesis Submitted In Partial Fulfillment Of The Requirements For The Award Of A Master Of Science Degree In Agricultural And Applied Economics, University Of Nairobi," Dissertations and Theses 276387, University of Nairobi, Department of Agricultural Economics.
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    5. Ruth T. Chepchirchir & Ibrahim Macharia & Alice W. Murage & Charles A. O. Midega & Zeyaur R. Khan, 2017. "Impact assessment of push-pull pest management on incomes, productivity and poverty among smallholder households in Eastern Uganda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1359-1372, December.
    6. Nyang'au, Paul Nyamweya, 2018. "Impact Of Integrated Pest Management Technology On Food Security Among Mango Farmers In Machakos County, Kenya," Research Theses 276453, Collaborative Masters Program in Agricultural and Applied Economics.
    7. Nyangau, Paul & Muriithi, Beatrice & Irungu, Patrick & Nzuma, Jonathan & Diiro, Glacious, 2017. "Assessing the impact of integrated pest management (IPM) technology for mango fruit fly control on food security among smallholders in Machakos County, Kenya," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258650, Agricultural Economics Society.

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    Food Security and Poverty; Research Methods/ Statistical Methods;

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