This paper examines the overall economic growth effect when the growth in finance and real sector is disproportionate relying on panel data for 29 sub–Saharan African countries over the period 1980–2014. Results from the system generalized method of moments (GMM) reveal that, while financial development supports economic growth, the extent to which finance helps growth depends crucially on the simultaneous growth of real and financial sectors.
Economic Growth and Aggregate Productivity: General
In the light of Africa’s palpable deficit in public infrastructure, we use System GMM to estimate a model of economic growth augmented by an infrastructure variable, for a panel of 45 Sub-Saharan African countries, over the period 2000-2011. We find that it is the spending on infrastructure and increments in the access to infrastructure that influence economic growth and development in Sub-Saharan Africa.
This paper assesses the level of competition in Zimbabwe’s banking sector using the Panzar-Rosse H-statistic. The H-Statistic has been assessed, using the total revenues regression equation, and applying the panel least square regression model with fixed effects. The H-statistics is estimated at 0.56, which result is confirmed, using bank random effects and the General methods of moments, yield similar results.
This study investigates the drivers of competitiveness in African economies. While the macroeconomic perspective focuses on the behavior of the real effective exchange rate (REER), and the international competition framework emphasizes export market shares (EXPS), the business strategy framework emphasizes high-value production by means of domestic and foreign factors in a way that is consistent with global supply chains. In this paper, we assess competitiveness in the business strategy framework through a Trade-Weighted Value added index (TWV).
Climate change has been classed as the greatest and urgent global issue facing humanity today, yet the empirics of the debate remain largely muted, more so with reference to sub-Saharan Africa (SSA), where the impact of warming global temperatures are forecasted to have the worst impact. This paper is a contribution to the empirics of climate change and its effect on sustainable economic growth in SSA using nonparametric regression techniques.
While South Africa’s growth performance has improved somewhat in recent years, it has generally been poor over the past few decades. This article uses Chenery’s factor decomposition method to analyse the sources of growth in South Africa from 1970 to 2007. Using input-output data, the growth of each subsector is decomposed into components associated with export growth, import substitution, growth in domestic demand, and growth in intermediate demand. The results highlight the dependence on domestic demand expansion as a source of growth since 2000, especially for manufacturing.
Empirical explorations of the growth and productivity impacts of infrastructure have been characterized by ambiguous (countervailing signs) results with little robustness. A number of explanations of the contradictory findings have been proposed. These range from the crowd – out of private by public sector investment, non-linearities generating the possibility of infrastructure overprovision, simultaneity between infrastructure provision and growth, and the possibility of multiple (hence indirect) channels of influence between infrastructure and productivity improvements.