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Classification and influence of agricultural information on striga and stemborer control in Suba and Vihiga Districts, Kenya

Author

Listed:
  • Njuguna, Esther M.
  • Amudavi, David Mulama
  • Khan, Zeyaur R.
  • Mbogoh, Stephen G.
  • Nyikal, Rose Adhiambo
  • Karugia, Joseph Thuo

Abstract

This paper reports on findings of a study to examine the sources used by farmers in search of agricultural information on striga and/or stemborers control technologies and factors that influence acquisition of such information in Western Kenya region. A random sample of 476 households in Suba and Vihiga districts were interviewed and 15 information pathways were identified. Using principle component analysis (PCA) to derive few latent variables that encapsulate maximum variance in the pathways, two components (latent variables) proxying for ‘agricultural knowledge’ were extracted. Type I-knowledge (first component) loaded heavily with sources that had ‘group’ information searching. Type II-knowledge (second component) loaded heavily with sources requiring individual farmer search. Both types of knowledge positively and significantly influenced the likelihood of households using improved technology to control stemborer, while only Type-II knowledge and social economic factors were important in influencing the farmers’ likelihood of using an improved technology to control striga. This study shows that information is an important factor in the households’ likelihood of using improved technologies in the control of striga and stem borer in Vihiga and Suba, Kenya. Methods of individual interaction are important to striga control.

Suggested Citation

  • Njuguna, Esther M. & Amudavi, David Mulama & Khan, Zeyaur R. & Mbogoh, Stephen G. & Nyikal, Rose Adhiambo & Karugia, Joseph Thuo, 2008. "Classification and influence of agricultural information on striga and stemborer control in Suba and Vihiga Districts, Kenya," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52081, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae07:52081
    DOI: 10.22004/ag.econ.52081
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    References listed on IDEAS

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    1. James Sumberg & Elon Gilbert & Malcolm Blackie, 2004. "Income Diversity, Technology Choice and Agricultural Research Policy in Sub-Saharan Africa," Development Policy Review, Overseas Development Institute, vol. 22(2), pages 131-146, March.
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