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Africa's Green Revolution? The determinants of the adoption of NERICAs in West Africa

  • Aliou Diagne

    ()

    (Africa Rice Centre, Cotonou, Benin)

  • Steven Glover

    (Overseas Development Institute, London, UK)

  • Ben Groom

    ()

    (Department of Gography and Environment, London School of Economics, London, UK)

  • Jonathan Phillips

    (Department of Economics, SOAS, University of London, UK)

We analyse the rate and determinants of adoption of modern rice varieties (NERICAs) in Guinea, The Gambia and Cote d'Ivoire. The role of knowledge and information is evaluated using programme evaluation methods. Using household data collected by the Africa Rice Centre we show that the exposure and access to seeds lead to radically different levels of adoption by country: 30% in Cote D’Ivoire compared to around 90% for The Gambia and Guinea. Analysis of the determinants of adoption in each country reveals the heterogeneity in the role of agricultural and societal conditions and implies country/province specific policies are appropriate.

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File URL: http://www.soas.ac.uk/economics/research/workingpapers/file76516.pdf
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Paper provided by Department of Economics, SOAS, University of London, UK in its series Working Papers with number 174.

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Length: 39 pages
Date of creation: Jun 2012
Date of revision:
Handle: RePEc:soa:wpaper:174
Contact details of provider: Postal: Thornhaugh Street, London WC1H OXG
Web page: http://www.soas.ac.uk/economics/

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  1. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Technical Working Papers 0306, National Bureau of Economic Research, Inc.
  2. Hotz, V. Joseph & Crump, Richard K. & Mitnik, Oscar A. & Imbens, Guido, 2009. "Dealing with Limited Overlap in Estimation of Average Treatment Effects," Scholarly Articles 3007645, Harvard University Department of Economics.
  3. Mark Rosenzweig & Andrew D. Foster, . "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Home Pages _068, University of Pennsylvania.
  4. Lee, Myoung-jae, 2005. "Micro-Econometrics for Policy, Program and Treatment Effects," OUP Catalogue, Oxford University Press, number 9780199267699, March.
  5. 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.
  6. Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
  7. Dalton, Timothy J. & Guei, Robert G., 2003. "Productivity Gains from Rice Genetic Enhancements in West Africa: Countries and Ecologies," World Development, Elsevier, vol. 31(2), pages 359-374, February.
  8. Wooldridge, Jeffrey M., 2005. "Violating Ignorability Of Treatment By Controlling For Too Many Factors," Econometric Theory, Cambridge University Press, vol. 21(05), pages 1026-1028, October.
  9. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
  10. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
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