Browsing by Author "Aliber, M."
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Item Agricultural Development Planning: AGE 321, Degree Examinations October/November 2024(University of Fort Hare, 2025-11) Aliber, M.; Onomu, A.R.; Mujuru, N.; Antwi, M.Item Agricultural Development Planning: AGE 321, Supplementary Examinations November 2024(University of Fort Hare, 2024-11) Aliber, M.; Onomu, A.R.; Mujuru, N.; Antwi, M.Item Agricultural Development: AGE 405/505, Degree Examinations October/November 2024(University of Fort Hare, 2024-11) Aliber, M.; Mujuru, N.; Antwi, M.Item Agricultural Policy: AGE 326, Supplementary Examinations November 2024(University of Fort Hare, 2024-11) Aliber, M.; Zuwarimwe, J.B.Item Agricultural Production Economics: AGE 211, Degree Examinations June 2023(University of Fort Hare, 2023-06) Shiba, W.; Aliber, M.; Mdletshe, S.T.C.Item Agricultural Production Economics: AGE 211, Degree Examinations May/June 2025(University of Fort Hare, 2025-05) Aliber, M.; Onomu, A.R.; Mdletshe, S.T.C.Item Agricultural Resource Economics: AGE 408/ 608, Honours examinations January 2019(University of Fort Hare, 2019-01) Taruvinga, A.; Aliber, M.; Belete, A.Item Analytical Techniques in Agricultural Economics: AGE 411, Special Examinations November 2017(University of Fort Hare, 2017-11) Mushunje, A.; Aliber, M.; Chamunuka, P.Item Econometrics: ECO 313/E, Degree Examinations June 2023(University of Fort Hare, 2023-06) Aliber, M.; Ngonisa, P.; Mosakari, T.Item Econometrics: ECO 313/E, Supplementary Examinations July 2023(University of Fort Hare, 2023-07) Aliber, M.; Ngonisa, P.; Mosakari, T.Item Econometrics: ECO 313/E, Supplementary Examinations June 2025(University of Fort Hare, 2025-06) Aliber, M.; Jiza, A.; Khumalo, S.Item Research Methods in Agricultural Economics: AGE 406/506/604, Supplementary Examinations January 2019(University of Fort Hare, 2019-01) Aliber, M.; Muchopa, C.L.Item Small-scale livestock farmers' knowledge, attitudes, practices (KAPs), and willingness to pay for fodder seed technology in OR Tambo District Municipality of Eastern Cape Province, South Africa.(University of Fort Hare, 2025) Toko, Ayabonga; Aliber, M.The importance of the adoption of agricultural technology in productivity and productivity gains can be realized when yield-enhancing technologies are used and disseminated. This study’s main objective was to analyse small-scale livestock farmers' knowledge, attitudes, practices (KAP), and willingness to pay (WTP) for fodder seed technology in the OR Tambo District Municipality, Eastern Cape, South Africa. Livestock farming is a vital component of the region's economy and food security; however, small-scale farmers face significant challenges, including poor-quality feed, land degradation, and climate change. The study's objectives included profiling small-scale livestock farmers’ demographic and socio-economic characteristics, assessing small-scale livestock farmers’ KAP regarding fodder seed technology, determining the relationship between their KAP regarding fodder seed technology and socio-economic characteristics, and examining small-scale livestock farmers’ WTP for fodder seed technology. Data was collected from 151 small-scale livestock farmers across three local municipalities of King Sabata Dalindyebo, Port St Johns, and Ingquza Hill using a semi-structured questionnaire. Purposive sampling procedures were employed to select small-scale livestock farmers who participated in this study. The ordered probit model was used to determine the relationship between farmer’s socioeconomic characteristics and their KAP. Where the dependent variable was the KAP and was regressed with a set of independent variables (socioeconomic characteristics of the farmers). For farmers’ knowledge of fodder seed technology, three variables were found to have a significant influence. The variables, age of the farmer, education level, and source of feed for livestock were significant at 5% 10%, and 5% significance levels respectively. For the attitude of the farmers toward fodder seed technology, two variables were found to have a significant influence. The variable farmer’s occupation status (Full-time/Part-time) was significant at a 5% significance level and the source of feed for livestock was found to be significant at a 1% significance level. For farmers’ practices towards fodder seed technology, three variables were found to be significant. Estimated monthly income was significant at a 10% significance level, source of feed was significant at a 5% significance level and sources of agricultural information were significant at 1%. The study also utilized the Contingent Valuation Method (CVM) to examine small-scale livestock farmers’ WTP for fodder seed technology. To assess how the socio-economic factors of farmers influence farmers' WTP for fodder seed technology, the study used a logistic regression model. Descriptive statistics showed that 95.36% of farmers are willing to invest in this technology, driven by the perceived benefits of increased livestock productivity and having livestock feed also in the dry seasons. Logistic regression analysis revealed that age negatively influences WTP for fodder seed technology, with older farmers being less inclined to adopt the technology. Gender was also a significant factor, with male farmers showing a higher likelihood of WTP when compared to female farmers. Additionally, higher estimated monthly income and larger household size were positively correlated with WTP, while larger arable land size, interaction with extension officers, and ownership of more goats were associated with a decreased likelihood of WTP. Despite the high willingness to adopt fodder seed technology, challenges such as high seed costs, limited access to credit, and inadequate extension services remain significant barriers. The study highlights the need for targeted policy interventions that improve access to financial services, enhance education on the benefits of fodder seed technology, and ensure the distribution of quality seeds. Addressing these challenges can significantly boost the adoption of fodder seed technology, thereby enhancing the sustainability and productivity of small-scale livestock farming in the region.Item Special Topics: AGE 507/ 609, Degree Examinations November 2017(University of Fort Hare, 2017-11) Aliber, M.; Belete, A.Item The impact of redistributive land reform on farmland prices in South Africa.(University of Fort Hare, 2024-10) Somkosi, Phatheka; Aliber, M.Redistributive land reform remains a pressing focus of social and economic transformation in South Africa. A key point of contention regarding government’s approach to redistributive land reform is the fact that the vast majority of the land it acquires is purchased from private land owners. This is widely known as the ‘willing buyer / willing seller approach’, which is faulted by some critics as making land reform unnecessarily expensive and slow. This study seeks to examine one aspect of this debate, namely the implications of South Africa’s land reform programme for the farmland market, which in turn has implications for land reform. The study is quantitative in nature, using data from 2002 through 2017 pertaining to land reform transactions and market transactions outside of land reform. In particular the data are aggregates at national, provincial and district level. Land transaction data were accessed from two sources, namely from Agri Development Solutions for farmland market statistics based on transactions data captured by the Registrar of Deeds, and from the then Department of Rural Development and Land Reform, which furnished data regarding land reform transactions. Other data sources included the South African Reserve Bank and Statistics South Africa. Descriptive statistics are presented showing trends in the variables under investigation, in particular average price per hectare and hectares transacted. The descriptive statistics and simple statistical tests tend to confirm that land acquired via the land restitution programme is expensive relative to prevailing market prices, while that acquired via redistribution is not. Graphical evidence is also presented to the effect that, at the level of districts, upsurges in the share of land transacted through land reform appear to exert a temporary upward pressure on farmland prices, whereas high prices paid for land reform land do not. Inferential statistics were done using regressions. In this regard, the Fixed Effects and Random Effects model were used to analyse the findings. Results showed that the redistribution programme has a negative relationship with farmland prices. In other words, redistribution programme lead to a decline in land prices. Therefore, land reform programme is thus not a factor that has contributed to the land price increases in South Africa.