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Evaluation de la diffusion et de l’adoption des variétés de riz NERICA en Guinée

Author

Listed:
  • Diagne, Aliou
  • Sogbossi, Marie-Josee
  • Diawara, Sekou
  • Diallo, Abdoulaye Sadio
  • Barry, Alpha Bacar

Abstract

L’objectif de la présente étude est d’évaluer la diffusion et l’adoption des variétés de riz NERICA en Guinée cinq années après leur introduction. Les données collectées en 2002 sont relatives à 1535 paysans choisis dans 79 villages des quatre régions naturelles de la Guinée. L’approche d’estimation du taux d’adoption utilisée dans ce papier se fonde sur les théories modernes d’évaluation au niveau micro-économique des impacts d’interventions politiques. Nos résultats montrent que 39% de la population guinéenne connaissaient au moins une variété NERICA en 2001 avec 23% pour le taux d’adoption observé au sein de la population de riziculteurs. Plusieurs facteurs socio-économiques déterminent les taux de diffusion et d’adoption. Par ailleurs bien que le taux d’adoption ait connu une croissance de 1996 à 2001, il est resté inférieur au taux d’adoption potentiel (53%) si tous les paysans avaient accès aux semences de NERICA en 2001. Des mesures méritent donc d’être prises pour une meilleure diffusion des NERICA et surtout des NERICA bas-fond en Guinée.

Suggested Citation

  • Diagne, Aliou & Sogbossi, Marie-Josee & Diawara, Sekou & Diallo, Abdoulaye Sadio & Barry, Alpha Bacar, 2008. "Evaluation de la diffusion et de l’adoption des variétés de riz NERICA en Guinée," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52153, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae07:52153
    DOI: 10.22004/ag.econ.52153
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    References listed on IDEAS

    as
    1. Heckman, James J, 1990. "Varieties of Selection Bias," American Economic Review, American Economic Association, vol. 80(2), pages 313-318, May.
    2. 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.
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