Determinants of the Utilization of Digital Technologies by Smallholder Farmers in Eastern Cape Province, South Africa
Bontsa Nasiphi Vusokazi (),
Mushunje Abbyssinia and
Ngarava Saul
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Bontsa Nasiphi Vusokazi: Department of Agricultural Economics and Extension, University of Fort Hare, Alice, South Africa
Mushunje Abbyssinia: Department of Agricultural Economics and Extension, University of Fort Hare, Alice, South Africa
Ngarava Saul: Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, Netherlands
Journal of Agribusiness and Rural Development, 2024, vol. 73, issue 3, 265-281
Abstract:
The objective of the study was to assess the determinants of the utilization of digital technologies by smallholder farmers in South Africa. A cross-sectional survey of 250 smallholder farmers was purposively sampled from Port St Johns and Ingquza Hill Local Municipalities. Binary and ordered logistic regression were used to analyse the data. The results show that 55% of the smallholder farmers were using digital technologies. Out of these, 40% were using smartphones and radio. Close to 47% of the smallholder farmers who were using digital technologies were using them to some extent and 65% had been using digital technologies for a period of 1–4 years. 89% of the smallholder farmers using digital technologies indicated that they are beneficial and 83% had opted to continue using digital technologies to increase their skills and knowledge. However, 44% of the smallholder farmers who had opted to discontinue the use of digital technologies indicated that these technologies were not beneficial for them. Overall, 85% of the smallholder farmers would recommend the use of digital technologies to other farmers. Factors such as age, educational level, marital status, full-time farming, and land size affected the utilization of digital technologies while age, marital status, educational level, full-time farming, household size, non-crop producing, and tenure affected the extent of digital technology utilization. The study concludes that the partial utilization of low-tech digital technologies is a socio-economic driver. Recommendations include the promotion of digital technologies, especially high-tech technologies, taking into account the socio-economic circumstances of smallholder farmers.
Keywords: binary logistic regression; digital technology; ordered logistic regression; smallholder; South Africa; utilization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:pojard:v:73:y:2024:i:3:p:265-281:n:1003
DOI: 10.17306/j.jard.2024.01765
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