Re-industrialisation of the Nelson Mandela Metropole regional economy

The main assumption underlying this study is that structural change brings about growth and in turn translates to poverty reduction through the expansion of labour absorbing economic sectors and employment in higher productivity non-primary sectors. Since labour productivity in non-primary sectors is higher, the large-scale migration of labour out of primary activity should raise labour incomes and result in poverty reducing growth. Economic growth driven by structural change in income and employment should therefore aid and promote poverty reduction. Notwithstanding the important role of the national sphere of government in setting the industrial policy framework in the country, this research places emphasis on the role and contribution of regional economies in translating active industrial policy into implementation and development results. In South Africa the rise in poverty can be partially attributed to an economy that is not growing at the required rates needed to, among others, create the necessary employment opportunities at scale. The ability to adequately respond to these national development challenges depends on key economic regions in the country unlocking growth in several economic sectors, in particular the manufacturing sector which is described as labour-intensive and with a high multiplier effect on the economy. To this end, the capacity of regional governments working with regional stakeholders to plan, coordinate, implement and provide oversight over integrated regional industrialisation strategies and implementation plans becomes pivotal. Equally, the Nelson Mandela Metropole, which is the geographic area of focus for this study, has identified and prioritised the growth of the manufacturing sector as one of its economic priorities, reflecting its ambition of driving a programme of re-industrialisation and positioning the region as one of the country’s industrial centres. The main proposition of this study is that the Nelson Mandela Metropole, like other regional economies in the country, is not able to drive the programme of re-industrialisation. The reason for this inability is that it does not have a coherent framework of levers that are at the disposal of regional governments and regional stakeholders to design and implement a programme of re-industrialisation within the ii context of a globalised economy but that takes into consideration national peculiarities of the manufacturing sector. The fact that the regions do not have an integrated regional implementation plan for reviving the manufacturing sector creates an eco-system where there is limited coordination of the actions of different role players, in turn limiting collaboration within the region. The research has identified a gap in the literature between the two areas that impact on this study, namely, industrial development and regional economic development. The study navigates the literature across these two areas to emerge with a synthesised framework of strategic enablers for industrialisation at a regional level. These strategic enablers can be used by regional governments to develop an integrated regional framework to drive the industrialisation programme at this level. With specific reference to the Nelson Mandela Metropole, the study used a mixed methods research approach to assess regional actors’ views on the strategic enablers identified through the literature. A survey was employed to extract data from manufacturing enterprises in the region on the perceived constraints to the growth of the manufacturing sector. The quantitative data were complemented by qualitative data collected through semi-structured interviews with key regional informants. The results of the study reveal some of the general weaknesses that confront the region as it pursues regional industrialisation. Importantly, the study uses the identified regional strategic enablers to develop a framework that can be used by regional actors to design an implementation plan.Thesis (PhD) -- Faculty of Business and Economic science, 202