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sur le développement des zones arides et semi-arides

Titre : Value chain mapping and marketing efficiency of cowpea farmers in Capricorn and Waterberg Districts of Limpopo Province, South Africa

Auteur : Masegela, Christina Magosea

Université de soutenance : University of Limpopo

Grade : Master of Science (MS) in Agriculture 2019

Résumé
Agriculture plays a significant role also serves as a critical economic sector in Limpopo province in terms of its contribution to the economy, and the number of employment opportunities it produces within local communities. The majority of people involved in agricultural practices are emerging farmers and smallholder/small scale farmers. These farmers try to earn a living from the production of livestock, broilers, fruits & vegetables, and cereals. Cowpea is a drought-tolerant legume that also serves as a staple food for the majority of Africans alongside maize and other typical staple foods consumed by most Africans. The crop is regarded as a key protein source for urban and rural poor, and plays an important role as a cash crop. Despite several nutritional benefits, economic importance and welfare enhancing potential of cowpea, farmers still do not have sufficient information on knowledge about the value that can be added to their cowpea production also the potential and competitiveness of this traditional leafy vegetable. The aim of the study was to map the value chain and determine the marketing efficiency of smallholder cowpea farmers in Capricorn and Waterberg districts of Limpopo province. The specific objectives were to : identify and describe socioeconomic characteristics of smallholder cowpea farmers in Capricorn and Waterberg districts of Limpopo province, identify and define the participants along the cowpea value chain and identify marketing constraints among smallholder cowpea farmers. Structured questionnaire was used to collect data from 80 smallholder cowpea farmers in Ga-Molepo of Capricorn district and Bela-Bela of Waterberg district using purposive sampling technique. Value chain mapping, descriptive statistics and binary logistic regression model were used in addressing the objectives. In identifying and defining the participants along the cowpea value chain, a value chain map was constructed to show the different stages cowpea goes through before reaching the final consumer. Two null hypotheses were formulated.

[ Présentation http://ulspace.ul.ac.za/handle/1038...]

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