Utilization and management of beef cattle farming as a contributor to income of households in communal areas of Chief Albert Luthuli Local Municipality in Mpumalanga Province

Abstract

The study was conducted in four rural communities of the Chief Albert Luthuli Municipality in the Mpumalanga Province of South Africa. The objective of the study was to determine the contribution of beef cattle farming to the income of communal households in Chief Luthuli Municipality. Data were analysed descriptively. Multiple regression analysis was used to identify the factors that affect the contribution of beef cattle to income in the study area. It was found that beef cattle farming in the communal areas studied were practiced equally by women (50%) and men (50%). Over 50.5% of respondents were over 51 years old and 9.5% of youth participated in beef cattle farming. The literacy rate among respondents in the study area was 55%, including Grade 11 or below, Grade 12 and post matric education. Approximately 48% of the respondents relied on pension income, while 28.5% reported that the main source of income in their households came from a combination of beef cattle production and pension. 60.5% of the respondents were found to have more than 20 years of beef cattle farming experience, while 36.5% have between one and twelve years’ experience. The majority of the respondents (80%) grazed their cattle on the mountainside, 14.5% said they used communal grazing and 5.5% grazed their animals in their backyard. It was also found that 50% of respondents maintained up to ten head of cattle and the other 50% had more than ten cattle in their herds. Of the households that sold their beef cattle, 77% earned R 10,000 or less per annum while 23% earned between R 11,000 and R 60,000 per annum. Beef cattle farming were therefore found to constitute 19% of household income in the communal areas in Chief Albert Luthuli Municipality. The independent variables which collectively have a statistically significant influence on the income from beef cattle production at 5% level of significance were: number of beef cattle (t = 16.8, P < 0.000) and age at mortality (t = -2.59, P< 0.010). The number of beef cattle has a positive and statistically significant effect and mortality age a negative effect. It was concluded that the 19% contribution to household income coming from beef cattle farming in the study area was to be expected in light of the fact more than half (50.5%) of the respondents were older than 51 years old and 48% of respondents relied on pensions as a source of income. The danger is that because beef cattle farming in the study area have been marginalised as an agricultural activity, the rural poor are decreasingly engaging in beef cattle production as a source of income.