MST-Department of Community Resource Management and Extension

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Browsing MST-Department of Community Resource Management and Extension by Author "Kilovoo, Tabither Nthenya"

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    The Role of Women Farmers in Household Food Security in Mpeketoni Division, Lamu County, Kenya
    (Kenyatta University, 2014-11-28) Kilovoo, Tabither Nthenya
    Africa remains largely food insecure despite the fact that the action needed to reverse the situation has been discussed in a number of conferences and publications. Kenya's current food security situation is an issue of concern. Despite the increasing global efforts to improve food security, the extent of food insecurity in the rural areas of the country is not well documented. Women play a vital role in food production. However, their households are major casualties of food insecurity despite their efforts in food production. The purpose of the study will be to assess the role of women in enhancing household food security in Mpeketoni Division, Lamu County, Kenya. The objectives of the study will be to identify the demographic and socioeconomic characteristics of women farmers; to determine the farming inputs and farming practices employed; to establish the post harvest technologies practiced and to determine the status of household food security among farming households in Mpeketoni Division. The study will employ descriptive research design. The target population will be all households practicing farming in Mpeketoni Division and the respondents will be the women farmers. A sample of 376 farming households will be sampled using systematic random sampling from a total of 3,762 farming households. Data will be collected from the women farmers and from agricultural extension officers using interview guides. Focus Group Discussions will be conducted for the farmers' representatives. Observation check list will be used to record researcher's observation of key variables of the study. Quantitative data will be analyzed using Statistical Package for Social Sciences (SPSS), while qualitative data will be analyzed using a thematic approach. The data will then be presented using frequencies, percentages, pie charts and tables. Conclusion and recommendations will be drawn from the research findings.