2 resultados para Municipality

em Universitätsbibliothek Kassel, Universität Kassel, Germany


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This exploratory study evaluated biophysical, cultural and socio-economic factors affecting crop production and land utilisation in the Nkonkobe Municipality, South Africa. The study sought to establish what farmers in the area perceive as serious threats to crop production, drivers for land abandonment, and how best current agricultural production could be intensified. The farmers’ perspectives were assessed through interviews using semi-structured and open-ended questionnaires. The results of the study revealed declining crop productivity and increase in land abandonment in the Municipality. The biophysical drivers of land abandonment were low and erratic rainfall and land degradation while the socio-economic drivers were labour shortages due to old age and youth movement to cities, lack of farming equipment and security concerns. The most abandoned crops were maize, sorghum and wheat. This trend was attributed to the labour intensiveness of cereal production and a shift in dietary preference to purchased rice. These findings should be factored in any programmes that seek to increase land utilisation and crop productivity in the Municipality.

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Provision of credit has being identified as an important instrument for improving the welfare of smallholder farmers directly and for enhancing productive capacity through financing investment by the farmers in their human and physical capital. This study investigated the individual and household characteristics that influence credit market access in Amathole District Municipality, Eastern Cape Province, South Africa, using a cross sectional data from smallholder farmers’ household survey. The aim is to provide a better understanding of the households’ level socio-economic characteristics, not only because they influence household’s demand for credit but also due to the fact that potential lenders are most likely to base their assessment of borrowers’ creditworthiness on such characteristics. The results of the logistic regression suggest that credit market access was significantly influenced by variables such as gender, education, households’ income, value of assets, savings, dependency ratio, repayment capacity and social capital. Implications for rural credit delivery are discussed.