Factors Associated with Women Farmers’ Level of Control in Farmer-Groups in Kwara State, Nigeria
Subject Areas : Rural and Agricultural SociologyKemi Omotesho 1 , Gbolagade Adesiji 2 , Adeniyi Akinrinde 3 , Oyindamola Aluko 4
1 - Department of Agricultural Extension and Rural Development, University of Ilorin, Ilorin, Nigeria
2 - Department of Agricultural Extension and Rural Development, University if Ilorin, Ilorin, nigeria
3 - Department of Agricultural Extension and Rural Development, University if Ilorin, Ilorin, nigeria
4 - Department of Agricultural Extension and Rural Development, University if Ilorin, Ilorin, nigeria
Keywords: Control, Women farmers, Farmer-groups,
Abstract :
Womenfarmers’ low level of access to productive resources has hindered the realization of their full potential in agriculture. While membership of farmer-groups has been recognised as an avenue for farmers to harness their resources, women farmers often suffer discrimination in such groups as socio-cultural values encourage male dominance in most rural communities. The specific objectives of the study were to describe the socio-economic characteristics of women farmers who were members of farmers’ groups, identify the benefits derived from their membership and examine the level of control of women in the farmers- groups. A two-stage random sampling technique was used to select 142 respondents across the 315 registered crop-based farmers’ group in Kwara State. Data were obtained by the use of a structured interview schedule. Descriptive statistics and the Pearson’s Product Moment Correlation were used to analyse data collected. The result reveal that women farmers in the study area were middle-aged (Mean age=49.6years), poorly schooled (majority at primary level), with about 22years of farming experience on the average. The most important benefit derived from membership of farmer- groups was improved access to agricultural information (M.S=3.4). The level of control of women in farmer- groups was low (Mean score=2.21) and significantly influenced by age, annual income, level of education and farm size at p
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