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The welfare effects of government redistributive policy have been subject to considerable debate for decades. Against this background, this study explores the effect of government social spending on an empirically constructed measure of well-being in a panel of 16 upper middle-income countries and 38 high-income countries observed between 2002 and 2019. The study utilises the Generalised Method of Moments (GMM) Model to estimate the empirical relationship between government social spending and well-being. The results suggest that welfare gains in upper middle-income countries are derived from redistributive spending that prioritises schooling. On the other hand, rich countries are more likely to benefit from health-related spending. Based on the results the study confirms that disaggregated social spending in upper middle-income nations and wealthy nations does not impact aggregate well-being uniformly. Therefore, efforts to improve aggregate welfare through government redistributive spending ought to consider these attendant heterogeneities.

This study analyses the impact of fiscal policy on the South African economy during the period 1972Q1-2020Q2. The study adopted quarterly time series data to estimate a Bayesian Vector Autoregression (BVAR) model with the selection of hierarchical priors. The variables employed for empirical investigation included GDP, government expenditure, public debt, and gross fixed-capital formation. The results of the study show that an unexpected shock in government expenditure and public debt has a significant negative and persistent impact on economic growth in South Africa, while an unexpected shock in investment has a significant positive effect on economic growth. The findings suggest that escalating public expenditure and public debt lead to economic contraction. This implies that policy-makers ought to be cautious of excessive government expenditure and public debt to achieve fiscal consolidation. Policy-makers ought to focus on addressing structural challenges through the implementation of sound structural reform policies that aim to attract investment consistent with job creation, development and growth in South Africa’s economy.

This study interrogates asymmetric effect of public debt on economic growth among selected emerging and frontier SADC economies. The study estimates a smooth transition regression (STAR) to analyse asymmetric relationship between public debt and economic growth using time series data from 2000 to 2018, extracted from the World Development Indicators. The findings indicate a strong evidence of a significant asymmetric relationship between public debt and growth among emerging and frontier SADC members under consideration. The results revealed the inverted U-Shape effect of public debt on growth in South Africa. While the results for Botswana, Namibia, Zambia and Zimbabwe indicate that there is a U-Shape relationship between public debt and economic growth. The study suggest that policymakers ought to consider curbing public debt level within a sustainable threshold target in order to reduce accompanying debt serving costs, and efficiently use public finances consistent with sustainable economic expansion.

From 1990 to 2019, this study examines the nonlinear dynamic impact of financial development on income inequality in an unconventional policy regime in a panel of 21 African countries. More importantly, we use Panel Smooth Transition Regression to extend the existing debate on this subject, with roots back to the seminal work of G-J and many others, and add a twist by distinguishing between a conventional (1990–1999) and unconventional policy regime (2000–2019), as well as the threshold level at which financial development reduces inequality. Our baseline results will be supported by the Generalized Method of Moments. The PSTR model was chosen because it can account for features that dynamic panel techniques cannot, such as endogeneity, homogeneity, cross-country variability, and time instability within the model. We found evidence of a non-linear effect between the two variables, with the threshold found to be 21.90% of GDP, below which financial development reduces inequality in Africa, and this confirms the U-shape in unconventional policy regimes and the G-J in conventional policy regimes. Unconventional monetary policies were found to trigger the financial-inequality relationships. The focal policy recommendation is that the financial sector be given adequate consideration and recognition by, inter alia, implementing appropriate financial reforms, developing an adequate investment strategy, and maintaining spending on science and technology investment in African countries below the threshold. Again, when implementing unconventional monetary policies in African countries, extreme caution is required.