Purpose: The purpose of this paper is to examine the relationship between the quality of different dimensions of institutional and economic growth in a panel of 15 member ECOWAS.Design/methodology/approach: The study adopts Driscoll and Kraay′s nonparametric covariance matrix estimator, and the spatial error model to account for cross-section dependency, cross-country heterogeneity and spatial dependence inherent in empirical modelling, which has largely been ignored in previous studies. This is because, the likelihood that corruption and human capital cluster in space is very high because factors that affect these phenomena disperse across borders. Similarly, to test the threshold effect, the study adopts the more refined and more appropriate dynamic panel data which models a nonlinear asymmetric dynamics and cross-sectional heterogeneity, simultaneously, in a dynamic threshold panel data framework.Findings: The empirical evidence supports findings by previous researchers that better-quality political and economic institutions can have positive effects on economic growth. Similarly, our results support a nonlinear relationship between political institutions and economic institution, confirming the “hierarchy of institution hypothesis” in ECOWAS. Specifically, the findings show that economic institutions will only have the desired economic outcome in ECOWAS, only when political institution is above a certain threshold.Originality/value: Unlike previous studies which assume cross-sectional and spatial independence, the authors account for cross-section dependency and cross-country heterogeneity inherent in empirical modelling.Peer review: The peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-10-2019-0630

Purpose: In light of the recent calls for another round of debt relief for African countries, by African finance ministers and governments, the aim of the study is twofold. First, the study examined the effect of public debt on macroeconomic performance. Two, the study also examined whether previous debt relief has impacted positively on sub-Saharan African economies.Design/methodology/approach: The study adopts the two-step system GMM that accounts for potential endogeneity and feedback effect in dynamic panel models. As robustness, the study performs the two-stage least square (2SLS) estimation method.Findings: The study reveals that previous debt relief programmes only had a marginal effect on economic growth in the region. The study found that corruption impacts negatively on the effectiveness of debt relief to achieve the desired economic outcomes. The study also found that sub-Saharan African economies seem to have shifted away from traditional concessional sources of financing towards market-based lenders dominated by China.Originality/value: The study adds to the growing evidence in the public debt literature by looking at the separate impact of domestic and foreign debts on macroeconomic indicators of economic growth, inflation, unemployment and exchange rate. The study also controlled for previous debt relief in light of the call for another round of debt relief.Graphical

Purpose: The paper analyses the prevalence of extreme and multidimensional poverty in line with the sustainable development agenda. In addition, the paper examines the drivers of extreme poverty while accounting for the potential spillover effect of poverty in the region.Design/methodology/approach: The study adopts the pooled OLS with Discroll-Kraay robust standard errors to control for cross-sectional dependence. In addition, given the strong potential for endogeneity of poverty index, the authors also employ the generalized method of moments (GMM), which accounts for simultaneity and endogeneity problems, and the spatial error and lag models to control for all forms of spatial and temporal dependence since the factors that affect poverty disperse across borders.Findings: The study finds that in addition to the traditional drivers of poverty (unemployment, low per capita GDP growth and public debt), poverty in Sub-Saharan Africa is a symptom of a deeper structural problem (lack of access to water and sanitation, high level of corruption and low level of financial development, and frequent economic busts). Likewise, the results from the spatial econometric specification show, consistently across all the specifications, that there is a substantial spillover effect of poverty across the region.Originality/value: The main novelty of the paper is that the authors investigate the “economic shrinkage hypothesis,” and examined the potential negative spillover effect of poverty in the region.