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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.

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.

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.

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.

This paper investigates whether institutional environment influences the relationship government spending and economic growth in ECOWAS over the period 2008–2017.

The study adopts the recently developed panel vector autoregressive (PVAR) by Abrigo and Love (2015) and a two-step system generalised method of moment (GMM).

The results from the study show no evidence of either unidirectional or bidirectional causal relationship between government spending and economic growth in ECOWAS. Our findings reveal that government spending when associated with high level of corruption, oversized government and a waste of public resources will not cause economic growth.

Unlike previous studies, we resolve the inherent problems of endogeneity and persistence in economic data. Likewise, we depart from existing studies that examined the causal relationship in a bivariate framework and adopt a trivariate causality testing.

The paper investigates the prevalence of extreme poverty in a panel of 39 sub-Saharan African (SSA) countries over the period 2000–2018 while accounting for spillover effects.

The study adopts the recently developed spatial dependence-consistent, bias-corrected quasi-maximum likelihood (QML) estimators and the linear dynamic panel regression to control for the potential endogeneity in poverty and corruption spillovers.

The spatial model shows. consistently across all the specifications, that there is a substantial spillover effect of corruption and poverty across the region. Additionally, the study also found that investment in health and education is a significant determinant of poverty in the region. However, the effectiveness of these policy variables to reduce poverty declines in the face of corruption spillovers. More importantly, the empirical analysis shows that poverty does not only exhibit spatial spillovers but also has a persistent effect over time. The results, therefore, suggest that to reduce poverty in the region, sub-Saharan African governments must adopt spatially differentiated policies and programmes by working together to reduce unemployment and corruption in the region, and not the widely adopted spatially mute designs currently in place. The research and policy implications are discussed.

The study accounts for spatial dependency and spillover effects in the analysis of poverty and corruption in SSA

The study analyzed the moderating role of information and communication technology (ICT) in the financial inclusion–poverty nexus in Nigeria.

The study adopts a battery of econometric techniques such as the generalized method of moments and the fully modified OLS to control for heterogeneity and endogeneity issues in the poverty literature.

The results show that ICT (regardless of the measure of ICT adopted) moderates the impact of financial inclusion on poverty in Nigeria. Specifically, the result shows that ICT strengthens the effectiveness of financial inclusion to reduce poverty. In particular, the results show that in the presence of unanticipated macroeconomic shock, ICT can help to deepen financial inclusion, reduce the negative effects of an unanticipated shock and ameliorate poverty in Nigeria. That is, the vulnerability of the poor in Nigeria to unanticipated economic shocks can be reduced by expanding the use of ICT in the financial sector. The research and policy implications are discussed.

The study accounts for the impact of COVID-19.

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.

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.

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.

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.

The study examined the roles of fiscal and monetary policy in reducing poverty in sub-Saharan Africa (SSA), while accounting for macroeconomic disruptions. In particular, the study examined the complementarity of fiscal and monetary policy to mitigate shocks and reduce poverty in SSA.

The study adopts the fixed effect (within regression) model to account for country-specific characteristics, and a cross-sectional dependence – consistent model to control for the potential cross-sectional in panel data modelling. The study used the dummy variable approach to account for the macroeconomic shocks. The authors assigned 1 to the following years – 2008, 2014 and 2020; and 0 otherwise to take care of the global financial crisis, commodity terms of trade shocks and the COVID-19 pandemic respectively.

The study found that fiscal policy (particularly, government spending on health and education) has the greater capacity to reduce the level of poverty in SSA. The results also indicate that fiscal policy and monetary policy can work in tandem to reduce the negative effects of a pandemic. However, the study found an optimal threshold level of monetary policy beyond which monetary policy reduces the effectiveness of fiscal policy to reduce poverty in SSA. The research and policy implications are discussed.

The study, unlike previous studies, accounts for the impact of macroeconomic shocks in the monetary/fiscal policy and poverty literature.

The purpose of this study is to examine the effect of foreign capital inflows on economic growth in 15 Economic Community of West African States (ECOWAS) countries over the period 2008–2018. Specifically, this paper investigates whether selected foreign capital inflows, namely, foreign debt, foreign aid and foreign direct investments substitute or complement government spending in ECOWAS.

The study adopts the two-step system generalized method of moments (GMM) method of estimation to address the problem of dynamic endogeneity inherent in the relationship.

The result shows that foreign capital inflows into ECOWAS region have not transmitted into economic growth in the region. Further, the findings reveal that foreign capital inflows to ECOWAS have substituted for government spending. The results might be as a result of the high level of corruption in ECOWAS. The results also show that when institutional quality is interacted with foreign capital inflows, the result shows a negative and statistically significant effect on economic growth.

Unlike previous studies which pooled both developed and developing economies together, the authors investigate this relationship in a regional study, using ECOWAS to create a roughly optimum size. In addition, the authors adopt the GMM-system method of estimation to address the problem of dynamic endogeneity inherent in the relationship, which has largely been ignored in extant studies.

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.

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.

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.

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.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2019-0630

The paper contributes to the literature on investment and poverty in sub-Saharan Africa (SSA). Specifically, the study examined the separate role of private and public investment in poverty reduction in a panel of 40 sub-Saharan African countries.

For robustness, the study adopts a variety of estimation techniques. These include the fixed effect (within) regression model, the two-step system generalised method of moments (GMM) and the pooled OLS with Driscoll-Kraay robust standard errors to account for the well-known problems of endogeneity, heterogeneity and cross-sectional dependence inherent in panel data.

The empirical results show that the reducing impact of public investment on poverty is marginal, while private investment has a significant reducing impact on poverty. The study also found that access to social services, such as water and sanitation, and credit are important determinants of investment in SSA. The research and policy implications are discussed.

The study investigated the separate effect of private and public investments on poverty in SSA, unlike the existing studies that adopted total investment.

The study examines whether the growth effect of government spending is contingent on the level of institutional environment prevalent in Economic Community of West African States (ECOWAS).

The study adopts the more refined and more appropriate dynamic threshold panel by Seo and Shin (2016) and made applicable be Seo et al. (2019). The technique models a nonlinear asymmetric dynamics and cross-sectional heterogeneity simultaneously in a dynamic threshold panel data framework.

The results show that there is a threshold effect in the government spending-growth relationship. Specifically, the authors found that the impact of government spending on economic growth is positive and statistically significant only above a certain threshold level of institutional development. Below that threshold, the effect of government spending on growth is insignificant and negative at best. The findings suggest that government spending-growth nexus is contingent on the level of Institutional quality.

Unlike previous studies that adopt the linear interaction model which pre-impose a priori conditional restrictions, this study adopts the dynamic threshold panel framework which allows the lagged dependent variable and endogenous covariates.