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... However, according to Khumalo and Sibanda (2019), small plots are associated with low yields that negatively affect household food security. Jeminiwa et al. (2018), are of a similar view and were able to conclude that the level of productivity is influenced by farm size. ...
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The study analysed the food security status of agricultural households in Nkomazi Local Municipality, South Africa. Descriptive statistics, the food security index and multivariate analysis were used to realise the objectives of the study. The majority of respondents were females. Furthermore , respondents aged between 61 and 70 years and those who had only completed primary school education were also in the majority. Just under half of the respondents had a farming experience of more than 21 years and had large households (6-10 household members). Although most agricultural households in the study area were food secure, overall food insecurity among the respondents was very high. The marital status, education level and annual farm income of the respondents were positively and significantly associated with food security. Farming is practised mainly by older people with low levels of education. The level of food insecurity among agricultural households was approximately twice the South African national household food insecurity index. The findings of this study provide a basis for the formulation of a policy framework to help tackle the high food insecurity observed in the study area.
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This paper describes the earning activities of farmers in Afon district, a rural area in Kwara State, Nigeria with a view to assess factors determining rural farmers' income. 268 farmers were interviewed through questionnaire administration, and the results show that a large number of rural farmers depend on family labour, local inputs and personal instincts to earn productive incomes. The farmers' income in this study is used as a major tool for the isolation of basic factors that ought to be accorded priority in subsequent rural development policy. The findings also show that through the use of stepwise multiple regressions, four factors were found to be the main determinants of a farmer's income out of the twelve examined. These are x3(farm output/yield per ton), x4(cost of farm input and implements), x11(accessibility to credit facilities), and x8(transport cost). In all twelve cases examined four variables together account for about 84.09 % of the total variance in income of farmers within a given year. Appropriate policy recommendations are provided to improve farmers' income nation wide.
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Development theory: An analytical framework and selected application. Population and Development Review
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Socio-economic survey of forest fringe communities: Krokosua Hills Forest reserve. A report submitted to the forestry commission of Ghana
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The Relationship between Farm Size and Productivity: Empirical evidence from Nepalese mid -hills. European Association of Agricultural Economists. 106 th Seminar: Montpeller, France
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