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


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


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

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    References listed on IDEAS

    1. Quisumbing, Agnes R. & Haddad, Lawrence & Pena, Christine, 2001. "Are women overrepresented among the poor? An analysis of poverty in 10 developing countries," Journal of Development Economics, Elsevier, vol. 66(1), pages 225-269, October.
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    5. Quisumbing, Agnes R., 2003. "Food Aid and Child Nutrition in Rural Ethiopia," World Development, Elsevier, vol. 31(7), pages 1309-1324, July.
    6. Arega D. Alene & Abebe Menkir & S. O. Ajala & B. Badu-Apraku & A. S. Olanrewaju & V. M. Manyong & Abdou Ndiaye, 2009. "The economic and poverty impacts of maize research in West and Central Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 40(5), pages 535-550, September.
    7. Mahabub HOSSAIN & Manik L. BOSE & Bazlul A. A. MUSTAFI, 2006. "Adoption And Productivity Impact Of Modern Rice Varieties In Bangladesh," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 149-166.
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    9. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    10. Aldas JANAIAH & Mahabub HOSSAIN & Keijiro OTSUKA, 2006. "Productivity Impact Of The Modern Varieties Of Rice In India," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 190-207.
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    Cited by:

    1. 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.

    More about this item


    Adoption intensity; food security; poverty; Continuous treatment; Dose-response function; Tanzania; Food Security and Poverty; Research Methods/ Statistical Methods; C14; C21; Q12;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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