Determinants of Employment Status and Its Relationship to Poverty in Bophelong Township

Dunga, Steven Henry; Sekatane, Mmapula Brendah

doi:10.5901/mjss.2014.v5n21p215

Cited by 7 publications

(11 citation statements)

References 3 publications

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“…The P-value for age in the regression is 0.000 which is significant at the 1% level of significance implying that age is a significant predictor of employment status. This is in agreement with the literature where age has been used to predict employment status of head of household (Dunga & Sekatane, 2014). In South Africa different age groups are fairing differently in the labour market.…”

Section: Findings and Discussionsupporting

confidence: 91%

“…There are several factors that are associated with the probability of being in employment. A number of studies have been conducted on the link of socio economic characteristics and employment (Dunga, 2016;Dunga & Sekatane, 2014;Geller & Curtis, 2011;Mncayi & Dunga, 2016;OECD, 2017;Shai, 2021;van Aardt, 2012). Gender, Age, marital status, and population group/race are among some of the variables that are considered in understanding the employment status of heads of household.…”

Section: Gender and Employment Statusmentioning

confidence: 99%

“…The modern trend among the youth of the 21 st century does not put emphasis on marriage (Dunga, 2017). There has been a clear downward trend in marriages across countires and and increase in the avareg age at which people are getting married (Dunga & Sekatane, 2014;Lundberg & Pollak, 2015). STATSSA (2020) reported that "Marriages are becoming less common in South Africa.…”

Section: Marital Status and Employment Statusmentioning

confidence: 99%

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The common characteristics of employment status during the Covid-19 Lockdown

Dunga

2022

IJRBS

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The National Development Plan (NDP) of South Africa identifies the main ills that must be dealt with by 2030. These are poverty and inequality. The NDP also clearly points out the need to deal with unemployment. These build into the sustainable development goals with 2030 as the target year for achievement. Both the NDP for South Africa and the SDGs at the global level had these targets set way before the 2019 coronavirus hit. Now given the disruption that this pandemic caused, the trends and possibility of achieving these goes must be investigated. This paper looks at employment focusing on the characteristics of the people that had a job to return to after the hard lockdown in South Africa. The main objective is to identify the significant predictors of employment status at the household level. The paper uses data from Statistics in South Africa that were collected in 2021 during the midst of the pandemic. Variables such as age, province, race or population group and gender were included in the analysis. The results of the logistic regression show that age, race, age of the province, and household size are all significant predictors of whether the head of the household was in salaried employment during the Covid-19 pandemic. The fact that females were more likely to be in employment is painting a unique picture of the labour force than what is normally observed in the surveys.

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Section: Findings and Discussionsupporting

confidence: 91%

Section: Gender and Employment Statusmentioning

confidence: 99%

Section: Marital Status and Employment Statusmentioning

confidence: 99%

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The common characteristics of employment status during the Covid-19 Lockdown

Dunga

2022

IJRBS

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“…The mean for the size of the household was found to be 3.2, which means that on average, a household has three people. Dunga and Sekatane (2014) found a similar result in Bophelong Township. Figure 1 shows the marital status of the residents of Boipatong Township.…”

Section: Resultssupporting

confidence: 64%

“…The sample size was 300 households. Data were collected using a household questionnaire adopted from published studies such as those of Viljoen and Dunga (2014) and Dunga and Sekatane (2014). The questionnaires were adapted to suit the nature of the study, and the questions were directed to the head of household to determine what were lacking for children in their households.…”

Section: Methodsmentioning

confidence: 99%