Over the past 30 years South Africa has lost valuable human capital due to high volumes of emigration. South Africa has also seen numerous changes in its political, economic and
social structure specifically in these decades, but little investigation has been done into the
possibility of an association between political, economic and social, as well as personal
factors, and the decision to leave South Africa. This study refers to Lee’s Migration Model
(1966) that was used as a broad theory for migration. The model involves four sets of factors: factors associated with the area of origin, factors associated with the area of destination, intervening obstacles and personal factors. Maslow’s Hierarchy of Needs Theory also explains the personal motivational theory for migration. Lee’s Model of Migration is used to investigate which political, economic, social and personal factors in the area of origin (South Africa) pushed South African emigrants to leave the country. It also investigates which political, economic, social and personal factors in the area of destination (Australia and New Zealand) pulled South African emigrants toward these countries.
This study involved mixed-methods research (Creswell, 2009), thus the data collection
methods were both qualitative and quantitative. The study followed a sequential exploratory strategy in two stages with the qualitative data collection occurring first, followed by a quantitative study – ‘QUALquan’ study. The data are mixed between analysis of the qualitative data and the quantitative data collection (Creswell, 2009:211). The qualitative data collection instruments used in the first stage of the study in 2009, were face-to-face interviews consisting of one focus group and six personal interviews in New Zealand, as well as twelve personal interviews in Australia. In the second stage of the study in 2015, namely the quantitative research, respondents were selected by contacting 17 closed (secured) Facebook groups that were formed for South Africans living either in Australia or New Zealand. There is no alternative sampling frame available since emigrants do not need to declare themselves as migrants on a work visa, furthermore, official documentation is not accessible to the public. A quantitative data collection instrument was administered with an online questionnaire. In the Australian Facebook groups, 137 respondents completed the questionnaire, and in New Zealand Facebook groups, 118 respondents, which adds up to a total of 255 respondents who completed the questionnaire.
The results concluded that South Africa’s governance framework, its infrastructure and legislation acted as political push factors motivating South Africans to emigrate, while an uncertain economy contributed as an economic push factor. Socially, a perception of a limited future and a narcissistic society is what pushed South Africans to emigrate. Personal push factors that drove the emigration decision included, unmet physical, safety, belonging and esteem needs. The political factors that pulled South African emigrants to Australia and
New Zealand involved effective government services and governmental aid. Economic pull factors included economic certainty and a lower cost of living. Social pull factors proved to be familiar circumstances and a better future. Personal pull factors were safety, belonging and self-actualisation needs. This mixed-method approach focussed on the gap to a followup study that was identified in previous individual qualitative and quantitative studies. These results may assist the South African government to take measures that ensures the retention
of highly skilled citizens. / Business Management / M. Com. (Business Management)
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:uir.unisa.ac.za:10500/25118 |
Date | 01 1900 |
Creators | Marcantuono, Letitia |
Contributors | Badenhorst, J. A. (Johanna Adolphina),1954- |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Dissertation |
Format | 1 online resource (xix, 222 leaves) : color illustrations, color graphs |
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