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The Effectiveness of Dissemination Pathways on Adoption of “Push-Pull†Technology in Western Kenya

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Author Info

  • Murage, A. W.
  • Obare, G.
  • Chianu, J.
  • Amudavi, David M.
  • Midega, C. A. O.
  • Pickett, J. A.
  • Khan, Z. R.
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    Abstract

    Push-pull technology (PPT) is currently and widely promoted as a control measure for stemborers, Striga weed and soil fertility improvement in maize fields in western Kenya in order to improve on cereal production. Since it is a new and relatively knowledge-intensive technology, access information about its efficacy is critical for maximum adoption and continued use. Given that different technologies may need different pathways for adoption, this study sought to identify the most effective dissemination pathway(s) for scaling up the technology among many farmers. A two limit Tobit regression was used to analyze data from 491 respondents randomly selected from four districts in western Kenya. The results indicated that chronologically field days (FD), farmer field schools (FFS) and farmer teachers (FT), had the greatest impact on the probability that a farmer in the study area would adopt PPT and at enhanced intensity of adoption. Efforts to disseminate PPT should therefore target the use of demonstrations through field days to intensify adoption. FT and FFS where appropriate can be used as alternative pathways to reinforce extension messages.

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    Bibliographic Info

    Article provided by Humboldt-Universität zu Berlin in its journal Quarterly Journal of International Agriculture.

    Volume (Year): 51 (No.1)
    Issue (Month): ()
    Pages:

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    Handle: RePEc:ags:qjiage:155472

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    Related research

    Keywords: effectiveness; dissemination pathways; push-pull technology; uptake; Production Economics; Productivity Analysis; C41; D10; D80; O33; Q16;

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    References

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    1. Jean-Philippe Gervais & Rémy Lambert & François Boutin-Dufresne, 2001. "On the Demand for Information Services: An Application to Lowbush Blueberry Producers in Eastern Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 49(2), pages 217-232, 07.
    2. McBride, William D. & Daberkow, Stan G., 2003. "Information And The Adoption Of Precision Farming Technologies," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 21(1).
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    6. Awudu Abdulai & Wallace E. Huffman, 2005. "The Diffusion of New Agricultural Technologies: The Case of Crossbred-Cow Technology in Tanzania," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 645-659.
    7. Genius, Margarita & Pantzios, Christos J. & Tzouvelekas, Vangelis, 2006. "Information Acquisition and Adoption of Organic Farming Practices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(01), April.
    8. Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics: The Journal of the International Association of Agricultural Economists, International Association of Agricultural Economists, vol. 9(4), December.
    9. Adesina, Akinwumi A. & Zinnah, Moses M., 1993. "Technology characteristics, farmers' perceptions and adoption decisions: A Tobit model application in Sierra Leone," Agricultural Economics, Blackwell, vol. 9(4), pages 297-311, December.
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