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The Impact of Agricultural Technology Adoption on Poverty: The case of NERICA rice varieties in Benin

  • Adekambi, Souleimane Adeyemi
  • Diagne, Aliou
  • Simtowe, Franklin
  • Biaou, Gauthier

This study examines the relationship between agricultural technology adoption and poverty with a focus on New Rice varieties for Africa (NERICA). The NERICAs are a group of rice varieties developed by the Africa Rice Centre during the 1990s, resulting from the inter-specific crosses between the Oryza sativa high yielding rice species from Asia and the locally adapted and multiple-stress resistant Oryza glaberrima African rice species. They are believed to provide great hope for African agriculture. Introduced in Benin in 1998, there has been no published analysis on the impact of their adoption by farmers. The paper uses the counterfactual outcomes framework of modern evaluation theory to estimate the Local Average Treatment Effect (LATE) of NERICA adoption on household expenditure among 268 households from rural Benin. Results indicate that the adoption of NERICA varieties has a positive and significant impact on household expenditure. Furthermore, the impact is higher among female-headed households (161.75 FCFA/day) than male-headed households (128.34 FCFA/day). The findings suggest that there is a scope for reducing poverty through the accelerated adoption of NERICA varieties by farmers.

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File URL: http://purl.umn.edu/51645
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Paper provided by International Association of Agricultural Economists in its series 2009 Conference, August 16-22, 2009, Beijing, China with number 51645.

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Date of creation: 2009
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Handle: RePEc:ags:iaae09:51645
Contact details of provider: Web page: http://www.iaae-agecon.org/
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  1. Joshua D. Angrist & Guido W. Imbens, 1995. "Identification and Estimation of Local Average Treatment Effects," NBER Technical Working Papers 0118, National Bureau of Economic Research, Inc.
  2. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
  3. Imbens, Guido W & Rubin, Donald B, 1997. "Estimating Outcome Distributions for Compliers in Instrumental Variables Models," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 555-74, October.
  4. Yoko Kijima & Keijiro Otsuka & Dick Sserunkuuma, 2008. "Assessing the impact of NERICA on income and poverty in central and western Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 38(3), pages 327-337, 05.
  5. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
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