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Rural media, agricultural technology adoption and productivity: evidences from small rice farmers in Burkina Faso

Author

Listed:
  • Alia, Didier Y.
  • Nakelse, Tebila
  • Diagne, Aliou

Abstract

In this paper we examine empirically the effect of Information and Communication Technologies on the adoption of improved rice varieties and its indirect effect on productivity with focus of the rural radio in Burkina Faso. The econometrics framework adopted is the Rubin Causal Model that has emerged as the standard approach for evaluating policy/program effect using an observational data. We found that adoption of modern varieties is significantly higher for the farmer that have listened radio program on rice before 2008 than those who have not. Also the use of rural radio appears to significantly increase the propensity of adopting modern varieties by 6%. We also estimate that the local average treatment effect of adoption of improved varieties induced by listening rice program radio on rice yield significantly positive. Ours results suggest that using rural radio could be an effective strategy to speed up the adoption of improved agricultural technologies and increase rice farmer productivity.

Suggested Citation

  • Alia, Didier Y. & Nakelse, Tebila & Diagne, Aliou, 2013. "Rural media, agricultural technology adoption and productivity: evidences from small rice farmers in Burkina Faso," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160674, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae13:160674
    DOI: 10.22004/ag.econ.160674
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    References listed on IDEAS

    as
    1. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 71, Elsevier.
    2. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-398, June.
    3. Alice Lam, 1998. "Tacit Knowledge, Organisational Learning and Innovation A Societal Perspective," DRUID Working Papers 98-22, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    4. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    5. 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.
    6. Lisa A. Cameron, 1999. "The Importance of Learning in the Adoption of High-Yielding Variety Seeds," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 83-94.
    7. Abdulai, Awudu & Huffman, Wallace, 2007. "The Diffusion of New Agricultural Technologies: The Case of Crossbreeding Technology in Tanzania," Staff General Research Papers Archive 12785, Iowa State University, Department of Economics.
    8. Adesina, Akinwumi A. & Baidu-Forson, Jojo, 1995. "Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa," Agricultural Economics, Blackwell, vol. 13(1), pages 1-9, October.
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    Cited by:

    1. Koirala, Bishwa S. & Bohara, Alok K. & Devkota, Satis & Upadhyaya, Kamal P., 2019. "Community managed hydropower, spillover effect and agricultural productivity: The case of rural Nepal," World Development Perspectives, Elsevier, vol. 13(C), pages 67-74.

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