2 research outputs found
Actual vs Optimal Size of the Public Sector in South Africa
The optimal size of government or the public sector, in general, has been the topic of many studies and debates all over the world. There are some who state that the public sector should play a much greater role in the economy, while others proclaim the private economy is a much better placed to generate the desired economic outcomes. This article investigates this issue and applies it to South Africa as there is no consensus on the optimal size of the South African government. The reporting formats of the National Treasury and South African Reserve Bank (SARB) were used to define the public sector, and estimate its actual size and contribution to the country’s economy. The research period ranges from 1992 to 2017. In theory, the BARS or Armey curve suggests that there exists an inverted U shape association between the size of government and optimal economic growth, and that was tested. Various regression equations were assessed using the fully modified OLS (FMOLS) estimation technique. The optimum level of the public sector size is estimated to be between 18 and 24% of the economy, which compares to the current level of between 30 and 50%, while optimal levels experienced between 2005 and 2007. The results suggest that the size of the South African public sector is significantly larger than optimal. 
The Effect of Spatial Unemployment on the Neighbouring Regions’ Economies: A Regional Case Study of KwaZulu-Natal in South Africa
This article investigates the degree of spatial dependence of unemployment on neighbouring economies with possible implications for cross-border community development initiatives. The local municipalities within the KwaZulu-Natal province in South Africa are used as a case study. Spatial econometric techniques are employed that incorporate dependence between regions in close geographical proximity. Disaggregated data and knowledge about the dynamics at a sub-regional level are usually unavailable for designing employment policies, especially for regional economies in under-developed countries. The results suggest an absence of spatial unemployment clustering and autocorrelation between neighbouring economies. The absence of externalities implies that little mutual dependence exists between adjacent economies, and therefore municipal unemployment patterns can be viewed as spatially random. The economy of a region is therefore fundamentally heterogeneous in that its unemployment rates are determined and influenced by its unique and diverse factors rather than neighbouring unemployment trends or patterns