Industrialisation in Southern Africa

Moyo, Theresa

doi:10.4324/9781351053570-5

Cited by 2 publications

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“…This is an interesting outcome, as it denotes that registered farmers would not receive a higher income if they concomitantly owned the land and had the legal rights to utilize it; namely, as if the consequence of having land and the rights to use it would lead to lower farm income diversification. However, this outcome does correspond to previous studies that mentioned the owned land is one of the crucial factors to instigate income disparity in Thai farmers, and land resource is fundamental for producing in the agriculture sector [4,64,65]. Furthermore, the results in the Tobit analysis demonstrated that living in the eight sub-districts of Bosuak, Chaisathan, Dutai, Kongkhwai, Nasao, Rueang, Sanian, and Thuemtong had a positive impact on farmers' estimated income if compared to the Phasing sub-district, while those living in the Bo sub-district would suffer a negative effect on their estimated income.…”

Section: Empirical Results From the Tobit Regression Modelsupporting

confidence: 85%

Does Income Inequality Exist among Urban Farmers? A Demonstration of Lorenz Curves from Northern Thailand

2021

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This study was motivated by the profound disparity of farmers’ income in northern Thailand. We aimed to investigate the inequalities in the distribution of estimated income among urban farmers in the Mueang district area of Nan province using the Lorenz curves and Gini indices. Approximations of farmers’ incomes were calculated and the Tobit model was applied to identify the determinants of farm income diversification in each sub-district. Results showed that urban farmers had high inequality scores, and there was a wide range of income among farmers. Ownership, land entitlement, and farmland size positively contributed to farmers’ estimated income. Agricultural activities further showed that rice farming significantly raised income disparity, while maize cultivation negatively affected it in nearly all sub-districts. Therefore, this study contributes an important indication that leads farmers to a sustainable livelihood while simultaneously adjusting relevant institutional policies.

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Section: Empirical Results From the Tobit Regression Modelsupporting

confidence: 85%

Does Income Inequality Exist among Urban Farmers? A Demonstration of Lorenz Curves from Northern Thailand

2021

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“…We estimated household wealth using locally relevant proxy assets such as household ownership of a working vehicle, working television, landline telephone, bank account and cattle. Ownership of each asset was assigned a score of 1 and an additional score of 1 to 5 for the number of head of cattle owned ( Moyo, 2015 ). Cattle ownership is an important proxy of wealth in this rural community.…”

Section: Methodsmentioning

confidence: 99%

Mental distress and substance use among rural Black South African youth who are not in employment, education or training (NEET)

Mngoma

Ayonrinde

2022

Int J Soc Psychiatry

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Background: South Africa (SA) has one of the highest rates of youth unemployment and youth who are not in employment, education or training (NEET), even higher among Black South Africans. SA’s NEET rates are 3 times those of UK; 5.4 times of Germany; 1.3 times of Brazil; and 2.5 times of Malaysia. Given that youths between 15 and 24 years of age make up 24% of the total population, these are significant challenges for the economy and further fuel the cyclical, pervasive and enduring nature of poverty. We hypothesised that rural youth who are NEET would have a greater prevalence of mental disorders and higher rates of substance use compared to their non-NEET counterparts. The objective of the study is to determine the differences in rates of psychological distress and substance use between NEET and non-NEET rural African 14- to 24-year-old young men. Methods: The study took place in a remote and rural district municipality in KwaZulu-Natal, South Africa. We divided the district’s five sub-municipalities into two clusters (large and small) and randomly selected one from each cluster for inclusion in the study. We further randomly selected wards from each sub-municipality and then rural settlements from each ward, for inclusion in the study. We recruited young men as part of a larger study to explore sociocultural factors important in gender-based violence in rural SA. We compared 15- to 19-year old and 20- to 24-year old youth NEET and non-NEET on rates of psychological distress symptoms (depression, anxiety, suicidal thoughts, hopelessness and worthlessness) and substance misuse (including alcohol, cannabis, other recreational drugs) using a Multivariate Analysis of Variance (MANOVA) statistics at p < .005 level of significance level. Results: About 23% of the 355 male participants were NEET. There were no statistically significant differences in psychological distress or substance use between youth NEET and non-NEET, controlling for age. Conclusion: The study highlights difficult transitions to post-secondary education and work for Black youth in rural SA where opportunities for employment are limited. Education, training and employment appear to offer limited benefit.

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Industrialisation in Southern Africa

Cited by 2 publications

References 0 publications

Does Income Inequality Exist among Urban Farmers? A Demonstration of Lorenz Curves from Northern Thailand

Does Income Inequality Exist among Urban Farmers? A Demonstration of Lorenz Curves from Northern Thailand

Mental distress and substance use among rural Black South African youth who are not in employment, education or training (NEET)

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