A time dimensional extension to standard poverty analyses in South Africa
| dc.contributor.advisor | Yu, Derek | |
| dc.contributor.author | Nackerdien, Moegammad Faeez | |
| dc.date.accessioned | 2022-02-09T09:16:44Z | |
| dc.date.accessioned | 2024-05-03T08:33:00Z | |
| dc.date.available | 2022-02-09T09:16:44Z | |
| dc.date.available | 2024-05-03T08:33:00Z | |
| dc.date.issued | 2021 | |
| dc.description | Philosophiae Doctor - PhD | en_US |
| dc.description.abstract | 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. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10566/12618 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of the Western Cape | en_US |
| dc.rights.holder | University of the Western Cape | en_US |
| dc.subject | Economic measures | en_US |
| dc.subject | Poverty | en_US |
| dc.subject | Non income wellfare | en_US |
| dc.subject | African woman | en_US |
| dc.subject | South Africa | en_US |
| dc.subject | Marketing | en_US |
| dc.title | A time dimensional extension to standard poverty analyses in South Africa | en_US |