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University of Fort Hare (2013)

Factors affecting rural farming households’ willingness to participate in a proposed irrigation scheme : A situation analysis of Guquka in Nkonkobe District Municipality, Eastern Cape, South Africa

Ngwenya Kwanele

Titre : Factors affecting rural farming households’ willingness to participate in a proposed irrigation scheme : A situation analysis of Guquka in Nkonkobe District Municipality, Eastern Cape, South Africa.

Auteur : Ngwenya Kwanele

Université de soutenance : University of Fort Hare

Grade : M.Sc (Agric. Economics) 2013

Résumé
Previous studies conducted in the study area recommended an irrigation scheme as a much desired intervention in order to reduce poverty levels, reduce unemployment, provide a livelihood for the households and trigger development. The Land Bank of South Africa has shown keen interest to provide funds to set up an irrigation scheme in Guquka. Absence of peoples’ involvement and farmer participation has been identified as one of the causes of poor performance of smallholder irrigation schemes in South Africa. The poor performance of smallholder irrigation projects in South Africa provided a good basis for exploring factors that could possibly affect farmer participation and the success of the proposed irrigation scheme. This knowledge would be useful to providers of extension services, capital providers, policy makers and the recipients of the proposed irrigation scheme. The main objective of this study was to investigate the factors affecting the willingness of farming households to participate in the proposed irrigation scheme. This investigation helped to analyse demographic ; socio economic situation ; farming practices ; economic activities ; water sources, uses and management in the study area. The major tool of enquiry in this study was the questionnaire which was used to collect data from the households. Household and farm characteristics were collected using structured questionnaires with the help of locally recruited and trained enumerators. The data used for the empirical analysis was obtained from a survey of 50 farming households in Guquka, in the Eastern Cape Province of South Africa. The following variables were selected to determine the scope of their influence on farmer willingness to participate in the proposed scheme : age ; membership in local group ; investment in agriculture, educational level of the farmers, knowledge, household size, labour and gender. A logit model was used to determine the extent to which these selected characteristics influence the willingness of farmers to participate in the proposed irrigation scheme. The results showed that willingness to participate in the scheme was significantly influenced by the afore mentioned variables as well as knowledge about the planned irrigation scheme which is mainly provided by extension agents ; and total household income. Age was found to decrease the willingness of farmers to participate in irrigation. A positive association existed between participation and the following variables ; membership in local group, investment in agriculture, educational level of the farmers and knowledge. On the other hand, household size, labour and gender were not significant variables affecting willingness to participate in the proposed irrigation scheme. Based on the results from the logit regression model, it can be concluded that membership in a local group, investment in agriculture, education, knowledge and total household income are responsible for increasing the probability of participation. The negative relationship on age and participation indicates that the older the person is, the lesser the chances of participation. It is recommended that stakeholders should improve access to education and farmer training programmes. Support systems to disseminate information, training and knowledge should be enhanced. Improving institutional support and access to financial services should be prioritised by the stakeholders in the study area. Further studies on building institutional capacity and a cost benefit analysis of irrigation options in the study area are recommended

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Page publiée le 10 janvier 2016, mise à jour le 13 juillet 2017