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Impact of rice innovation on the Health and Education on Farm Households in Selected States in Nigeria

Author

Listed:
  • Ojehomon, V.E.T.
  • Rita, A. Digne
  • Naomishie, Afiavi Agboh
  • Ayinde, Opeyemi Eyitayo

Abstract

Agricultural innovation can halt the vicious cycle of poverty by improving income while reducing hunger, malnutrition and improve health. The specific objective of this study is estimates of the impact of NERICA adoption on rice yields, income and food expenditure of male and female farmers in selected states Nigeria (first generation of NERICA project beneficiaries). A three stage sampling was done: the states and the villages were purposively selected. while two adjacent villages and the farmers were randomly selected. Data for the study were as collected from primary source using structured questionnaire. Descriptive statistics and counterfactual analytical procedure using two instrumental variable(IV)-based estimators to estimate the Local Average Treatment Effect (LATE) of adoption of rice variety innovation on productivity and poverty indicators health and education of women and men in NERICA dissemination project States in Nigerian. Sixty (60%) of male headed household with autonomous production systems for husband and wives adopted the rice innovation. The percentage of adopter dropped from 42% significantly to 40% in 2010 due to lack of access to seed. The result indicated a 354.61Kg yield impact recorded for female adopters. When compared with the male farmers, the female adopters had 84% more yield increase than male adopters. The implication is that adoption of rice innovation (NERICA) will be expected to be high in household where both men and women are empowered to make decision as relates to agriculture. Innovations have to be accessible to for transformation to take place.

Suggested Citation

  • Ojehomon, V.E.T. & Rita, A. Digne & Naomishie, Afiavi Agboh & Ayinde, Opeyemi Eyitayo, 2013. "Impact of rice innovation on the Health and Education on Farm Households in Selected States in Nigeria," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160531, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae13:160531
    DOI: 10.22004/ag.econ.160531
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    References listed on IDEAS

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    1. Lee, Myoung-jae, 2005. "Micro-Econometrics for Policy, Program and Treatment Effects," OUP Catalogue, Oxford University Press, number 9780199267699.
    2. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    3. Just, Richard E. & Zilberman, David, 1988. "The effects of agricultural development policies on income distribution and technological change in agriculture," Journal of Development Economics, Elsevier, vol. 28(2), pages 193-216, March.
    4. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    5. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    6. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
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