@article{Zeng:171427,
      recid = {171427},
      author = {Zeng, Di and Alwang, Jeffrey Roger and Norton, George and  Shiferaw, Bekele and Jaleta, Moti and Yirga, Chilot},
      title = {Agricultural Technology Adoption and Child Nutrition:  Improved Maize Varieties in Rural Ethiopia},
      address = {2014},
      number = {329-2016-12862},
      year = {2014},
      abstract = {Adoption of agricultural technology can lead to multiple  benefits to farm households, including increased  productivity, incomes and food consumption. However,  specific causal linkages between agricultural technology  adoption and child nutrition outcomes are rarely explored  in the literature. This paper helps bridge this gap through  an impact assessment of the adoption of improved maize  varieties on child nutrition outcomes using a recent  household survey in rural Ethiopia. The conceptual linkage  between adoption of improved maize varieties and child  nutrition is first established using an agricultural  household model. Instrumental variable (IV) estimation  suggests the overall impacts of adoption on child  height-for-age and weight-for-age z-scores to be positive  and significant. Quantile IV regressions further reveal  that such impacts are largest among children with poorest  nutritional outcomes. By combining a decomposition  procedure with system of equations estimation, it is found  that the increase in own-produced maize consumption is the  major channel through which adoption of improved maize  varieties affects child nutrition.},
      url = {http://ageconsearch.umn.edu/record/171427},
      doi = {https://doi.org/10.22004/ag.econ.171427},
}