Manufacturing has been identified by the Department of Trade and Industry as an important sector to drive economic growth in South Africa. The automotive manufacturing sector in particular has seen significant support from the DTI in the form of incentives to produce motor vehicles and components. South Africa is faced with a high unemployment rate and one of the strategies of the Government is to drive economic growth by supporting the automotive manufacturing sector. One of the spill-over targets is to increase employment creation in the industry. The automotive manufacturing sector consists of a diverse list of stakeholders representing motor vehicle manufacturers, component manufacturers, labour unions, government departments and industry associations. The Motor Industry Development Programme delivered significant progress in the number of vehicles produced in South Africa and the biggest growth was in the export of vehicles. Employment creation on the other hand did not see the same levels of growth as motor vehicle and component production. The purpose of this study was to identify and clarify what the variables are that influence employment creation and to develop a co-operation framework that would guide the automotive cluster stakeholders to work on employment creation initiatives as a collective. The survey questionnaire results representing the perception of managers showed that: - DTI Incentives schemes linked to employment creation; - Productivity, Technology and employment; - The role of competitiveness in the auto cluster; - Labour Union Collective bargaining; - Investment climate and infrastructure; - Education and skills development; does have an influence on employment creation in the automotive cluster.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:8884 |
Date | January 2013 |
Creators | Smith, Owen Christo |
Publisher | Nelson Mandela Metropolitan University, Faculty of Business and Economic Sciences |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Thesis, Masters, MBA |
Format | xii, 115 leaves, pdf |
Rights | Nelson Mandela Metropolitan University |
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