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Measuring rural households’ food consumption pattern using HDDS. A case of Mopani District Municipality, Limpopo province, South Africa

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Nengovhela R., Belete A., Hlongwane J., Oluwatayo I. B.
Journal of Agribusiness and Rural Development
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2022
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vol. 63
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issue 1
15-24
EN
Inadequate consumption of nutritious food is still a challenge in most rural areas, as majority of households are in between jobs. This leads to rural households not having stable jobs and this affects their income, and it results to rural household not been able to acquire nutritious food as level of income is one of the major factors that influence households’ dietary diversity and dietary quality. The purpose of this study was to measure household food consumption pattern using Household Dietary Diversity Score (HDDS), with food groups over a recall period of seven days in rural household of Mopani District Municipality. The study estimated the determinants of rural household dietary diversity. The sample size of the study was 173 rural households, the sample size was determine using multi-stage sampling procedure and proportional random sampling as its sampling to select the rural households in Mopani district municipality. The descriptive statistics results indicated that majority of rural households have a high dietary diversity status and the average HDDS of food consumption was 80.75%. Regarding the regression results, household income, gender, level of education, access to a home garden and ownership of livestock suggested a positive influence of rural households in attaining high dietary diversity.
2
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Impact of international trade on employment in orange industry of South Africa

100%
Molepo N. S., Belete A., Hlongwane J.
Journal of Agribusiness and Rural Development
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2021
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vol. 60
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issue 2
193-201
EN
The purpose of the study is to analyse the long-run and short-run dynamic relations amongst total employment (lnEMPGt), export output (EXPOt) and import output (IMPOt) from 1990 to 2018, by applying a time-series analysis. The study adopts the secondary data for total employment from the Citrus Growers Association of South Africa, while both export and import output were sourced from the Global Trade Atlas. The multivariate cointegration approach is adopted in the study to identify any causal relationships amongst the concerned variables. The chosen optimum lag selection criterion was the Akaike Information Criterion (AIC) due to its association dependence on the log-likelihood ratio. The third lag was selected for the entire analysis. The results from the cointegration test and the Vector Error Correction Model (VECM) suggest a positive long-run effect between total employment and export output, while import output is negatively associated with total employment. The adjustment term of lnEMPGt, EXPOt and IMPOt suggests that the previous year’s errors are corrected for the current year at a convergence speed of 0.002, 1.11 and 25.37 percentage points, respectively. The results of the Granger causality test show that there are bidirectional causality effects between export output and total employment in the long run, while there are no causality effects between import output and total employment. The overall conclusion is that export outputs positively impact employment, while import outputs impact it negatively in the South African orange industry.
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Analysing Contribution and Determinants of Indigenous Leafy Vegetables (ILVs) to Household Income of Rural Households in the Eastern Cape Province, South Africa

100%
Mayekiso A., Belete A., Hlongwane J.
Journal of Agribusiness and Rural Development
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2023
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vol. 67
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issue 1
79-92
EN
This study aimed to analyse the determinants of Indigenous Leafy Vegetables (ILVs) and their contribution to the household income of rural households in the Eastern Cape Province, South Africa. The study covered three district municipalities within the province. Multistage Sampling and Proportional Random Sampling techniques were used to select rural households, with the household heads as the unit of analysis. A sample size of 407 households was considered for the study and a questionnaire was used to collect data. Regression estimates discovered that the amount spent on ILV production and the price of ILV per kg positively influence the income generated from ILVs.
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