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A Binary Logistic Analysis on Factors Affecting the Participation of Smallholder Farmers in the Market of Indigenous Chickens (ICs)

100%
Sekele L. A., Mokhaukhau J. P., Cholo M. S., Mayekiso A.
Journal of Agribusiness and Rural Development
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2020
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vol. 58
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issue 4
415-422
EN
Participation in the market of Indigenous Chickens (ICs) enables farmers an opportunity to generate income and alleviate household food insecurity. The objectives of the study were to profile the socioeconomic characteristics of smallholder farmers and; to determine the factors influencing participation of smallholder farmers in the market of ICs. The study employed purposive and snowball sampling techniques to identify 50 indigenous chicken farmers in Makhuduthamaga Local Municipality, South Africa. Descriptive statistics and Binary Logistic regression model were employed to address the objectives of the study. The results revealed that, most smallholder farmers do not participate in the market of ICs. Moreover, experience in rearing chickens, land size, number of chickens owned, and purpose of rearing the chickens were found as factors influencing participation of farmers in the market of ICs. The study also confirmed that female farmers dominate in the market of ICs when compared to males. This, therefore, calls for government intervention in the promotion of ICs markets to encourage participation by farmers thus improving livelihoods.
2
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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.
3
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The Perceptions of and Willingness to Pay for Goat’s Milk and Its Products in Lepelle-Nkumpi Local Municipality, South Africa

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Tyasi T. L., Mayekiso A., Hlokoe V. R.
Journal of Agribusiness and Rural Development
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2023
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vol. 70
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issue 4
359-368
EN
This study assessed the perceptions and willingness to pay for goat’s milk and its products, and also both identified and described the challenges that communal farmers face in producing and selling goat’s milk and its products. The study was conducted in four villages at Lepelle-Nkumpi Local Municipality, Limpopo province, South Africa. Descriptive statistics and binary logistic regression techniques were used for data analysis. The regression estimates discovered a negative relationship between goat’s milk consumption by farmers and the perceptions of communal farmers at a 10% significance level. The binary logistic regression estimates established a negative relationship between consumption status and willingness to pay for goat’s milk at the standard minimum price of R24.99 per litre. The study concludes that fewer farmers consume goat’s milk and its by-products. Farmers also understand the nutritional health benefits of these products in Lepelle-Nkumpi Local Municipality, Limpopo province, South Africa.
4
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Assessment of ginger benefits awareness and willingness to pay

100%
Khoza A., Ledwaba L. J., Mayekiso A.
Journal of Agribusiness and Rural Development
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2021
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vol. 62
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issue 4
407-414
EN
Due to a lack of adequate information on ginger’s nutritional and medical value to an individual’s health, most rural households do not often purchase ginger. Therefore, this study aims to determine the household’s awareness and willingness to pay for ginger. A simple random sampling procedure was used to select 53 respondents, and primary data were collected through an online questionnaire. Descriptive statistics and a binary logistic regression model were used for data analyses. Descriptive statistics revealed that the average age of the respondents was 39 years. Also, most respondents (77.4%) indicated they were aware of the health benefits of ginger, and approximately 45.3% indicated that they purchase ginger on a monthly basis. Lastly, most respondents (73.6%) were willing to pay for ginger. Regression estimates showed that gender, cost of ginger and frequency of ginger purchasing influenced rural households’ willingness to pay for ginger. Since gender was found to be a significant variable, the study, therefore, recommends that women should be encouraged to purchase functional foods when buying groceries for their households. This may enhance healthy habits and ultimately reduce households’ medical expenditure because functional foods can have preventive and corrective impacts for some illnesses.
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