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

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    Date
    2008-11
    Author
    Njuguna, Esther M
    Amudavi, David M
    Khan, Zeyaur R
    Mbogoh, Stephen G
    Nyikal, Rose Adhiambo
    Karugia, Joseph Thuo
    Type
    Article
    Language
    en
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    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.
    URI
    http://purl.umn.edu/52081
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/31555
    Citation
    African Association of Agricultural Economists (AAAE) in its series 2007 Second International Conference, August 20-22, 2007, Accra, Ghana with number 52081.
    Publisher
    Univesity of Nairobi
     
    Department of Agricultural Economics
     
    Subject
    Agricultural information; improved technology; striga; stemborers; control technologies; Kenya; Agricultural and Food Policy; Community/Rural/Urban Development; Demand and Price Analysis; Farm Management; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Institutional and Behavioral Economics; International Relations/Trade; Marketing; Productivity Analysis; Research and Development/Tech Change/Emerging Technologies; Resource /Energy Economics and Policy;
    Collections
    • Faculty of Agriculture & Veterinary Medicine (FAg / FVM) [5481]

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