Browsing by Author "Nackerdien, Moegammad Faeez"

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    A panel data analysis on the formal-informal sector linkages in South Africa
    (University of the Western Cape, 2017) Nackerdien, Moegammad Faeez; Yu, Derek
    There are few studies on linkages between the formal and informal sectors in South Africa. This study explores the types of linkages between the informal and formal sectors with empirical research concentrating on labour churning (movements between the informal and formal sectors). Using National Income Dynamics Study (NIDS 2008-2014) data from four waves, individuals are classified into labour market statuses based on the Heintz & Posel (2008) methodology. This study conducts labour market transitional matrices and finds formal employment to provide the most stability in terms of employment. The main focus is on the following three groups of employed: working in the formal sector in all four waves; working in the informal sector in all four waves; moving between the formal and informal sectors across all four waves. For those always working in the formal sector, they are predominantly females and Africans. Those who always work in the formal sector are most educated, while those always working in the informal sector are associated with low educational attainment. The descriptive statistics are followed by econometric analysis: in terms of attaining employment, being male and a higher educational attainment significantly increase the probability of finding employment. In terms of sustaining work, the same two covariates significantly increase the probability of sustaining work. Being the head of household is also a key covariate in significantly increasing the probability in maintaining and sustaining employment. In terms of transitioning to formal employment, being male, an increase in education and living with a partner (married or unmarried) significantly increase the probability of moving to formal sector employment. In addition, multinomial logistic regressions are conducted, and the results indicate that being a male significantly increases the probability of working in the formal sector for all four waves. Africans are also significantly more likely to be employed informally for all four waves and an increase in the years of education significantly increases the probability of being formally employed for all four waves. The household-level variables reveal that being the head household significantly increases the probability of being employed (especially formally employed for all four waves) while having children has a negative impact on being employed for all four waves.
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    A time dimensional extension to standard poverty
    (University of the Western Cape, 2021) Nackerdien, Moegammad Faeez; Yu, Derek
    Most poverty studies ignore the dimension of time and are merely concerned if an individual meets certain money-metric or non-income welfare (e.g., access to services and asset ownership) criteria. They fail to recognise the limited time (24hours per day) available to complete tasks and the added difficulties they have even though there is an abundance of money-metric and asset-related non-money-metric poverty studies. (Kim et al. 2014:1). For example, individuals/households deemed poor by standard measures cannot afford market alternatives to assist them with non-market work (like childcare). Therefore, they find themselves spending all their time in market and non-market work without taking time for rest and improving themselves. Recognising non-market work and the allocation of time allows for a greater understanding into the role of women and Africans whose non-market work are unrecognised by standard economic measures such as GDP (Ferrant 2014:1). There are also only a few in-depth studies on time poverty, but they fail to utilise the most current data. Therefore, this study seeks to provide insights into how household production impacts on South African welfare. It explores the income, time poor and the extent of time allocation differences for various personal characteristics. It estimates the likelihood of time poverty based on an individual’s time schedule and the factors which most likely results in time poverty. In this study, various time concepts and measures were explored adding to the scarcely found South African time poverty studies which lack in-depth exploration. At the same time the study highlighted household production, an aspect closely linked to time poverty which affects certain groups of people more (females and Africans), and its welfare implications completely ignored by standard measures of the economy. The study also aimed to examine the relationship between time and income poverty. The study utilised the 2000 and 2010 South African Time Use Survey data by focusing on two main themes: time use patterns (to better understand household production) and time poverty (to measure it and understands its relationship with income poverty). The descriptive results revealed that both mean SNA (System of National Accounts internationally agreed standard for production)) and non-SNA production time increased over time at the cost of the non-productive time. Also, mean paid and unpaid work increased over time.
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    A time dimensional extension to standard poverty analyses in South Africa
    (University of the Western Cape, 2021) Nackerdien, Moegammad Faeez; Yu, Derek
    Most poverty studies ignore the dimension of time and are merely concerned if an individual meets certain money-metric or non-income welfare (e.g., access to services and asset ownership) criteria. They fail to recognise the limited time (24hours per day) available to complete tasks and the added difficulties they have even though there is an abundance of money-metric and asset-related non-money-metric poverty studies. (Kim et al. 2014:1). For example, individuals/households deemed poor by standard measures cannot afford market alternatives to assist them with non-market work (like childcare). Therefore, they find themselves spending all their time in market and non-market work without taking time for rest and improving themselves. Recognising non-market work and the allocation of time allows for a greater understanding into the role of women and Africans whose non-market work are unrecognised by standard economic measures such as GDP (Ferrant 2014:1). There are also only a few in-depth studies on time poverty, but they fail to utilise the most current data. Therefore, this study seeks to provide insights into how household production impacts on South African welfare. It explores the income, time poor and the extent of time allocation differences for various personal characteristics. It estimates the likelihood of time poverty based on an individual’s time schedule and the factors which most likely results in time poverty.