Microfinancing has been targeted as a tool to address Poverty through the provision of credit to the poor and marginalised economic functions. However, the main objective upon which these institutions are founded is yet to manifest primarily in developing economies. This study examined the role of microfinancing in poverty alleviation by employing a Vector Error Correction Model on quarterly time-series data. The results reveal a significant long-run relationship among the variables poverty, microfinancing, SMEs, and agricultural growth. Contrary to expectations, Microfinancing was found to increase poverty in the long run. SMEs and agricultural development were found to reduce the level of poverty in the long run. In the short run, regression results reveal that SMEs’ growth alleviates poverty, and poverty increases the growth of microfinance loans in the country. The increase in SMEs is a tool for alleviating poverty, and the growth in microfinance institutions is also being driven by poverty. This suggests that continued improper microfinancing can escalate the poverty levels to undesired heights. The findings imply that the growth of microfinance loans is not being put to its intended and efficient use. These findings bring to the fore that it is not only the provision of funds that matters.

Purpose The purpose of this paper is to explore the impact of leverage on firms’ discretionary investment in Africa. Design/methodology/approach The authors employ a dynamic panel data model estimated with generalised method of moments (GMM) estimation techniques on the panel data of listed African non-financial firms. A dynamic model and the generalised methods of moments estimations are handy in controlling for unobserved heterogeneity, endogeneity, autocorrelation, heteroscedasticity, etc. Findings In spite of different settings, markets, leverage levels and methodologies, the authors found evidence that leverage constrains investment in African firms. The negative impact is more pronounced in firms with low-growth opportunities than in firms with high-growth opportunities. The results are inclined to the theory that leverage plays a disciplinary role to avoid overinvestment. Research limitations/implications African firms’ investment policy does not solely depend on the neoclassical fundamentals determinants of profitability, net worth and cash flows. Financing strategy also has a considerable bearing on the investment policy. The results provide evidence that leverage is a negative externality to the firm’s discretional investment policy for both lowly levered and highly leveraged firms. African firms’ should consider maintaining their low debt levels and rely more on internally generated funds so as not to suppress any available cash flows to interest payments and loan covenants from debt holders. Originality/value The study contributes to the literature on investment and financial leverage by the authors providing evidence from Africa, a developing continent, that has not been explored. It shows how conservative leverage levels of African firms, which have been reported to be rising, are impacting on investments. Pertaining to empirical methodology, the authors employ a dynamic panel data model, the GMM estimation technique, which is robust in controlling endogeneity, and a possible bi-directional causality between leverage and investment which have not been used in literature. The study also enables a comparison of the effect of high leverage and low leverage on firm’s discretional investment.

Firms in South Africa and other developing countries are facing a rapid increase in capital cost accompanied by an increase in leverage as a result of operating in uncertain environments, which complicate firms' financing decisions and strategies. This paper examined the impact of rising leverage levels on firm's cost of capital and the effect of country risk shocks on cost of capital and financing decisions among JSE listed firms. A dynamic panel model estimated with twostep system generalised methods of moments (GMM) was used to analyse panel data from 198 listed non-financial firms. The results suggest that the rising debt levels of JSE listed firms are negatively associated with weighted average cost of capital and cost of debt. Cost of equity was found to be an increasing function of firm leverage. High financial risk was found to be associated with an increase in cost of capital, high political risk associated with an increase in cost of equity and weighted average cost of capital (WACC), while an increase in economic risk is

This study explored the association between cash flow variability and investment behaviour of African listed firms. The research employed a dynamic panel data model estimated with the difference and system Generalised Method of Moments estimation techniques on a panel of 815 listed African non-financial firms. The estimation techniques control for unobserved heterogeneity, endogeneity, autocorrelation, heteroscedasticity and dynamic panel bias. Two different measures of volatility were employed; the exponentially weighted moving average, a forward-looking measure that captures innovations in cash flow volatilities and the coefficient of variation that captures the mechanical effect of the possible relation between cash flow levels and volatility. The results obtained suggested that cash-flow volatility is associated with average lower investment in African firms. These findings show that not only cash flows are an important determinant of investment decisions, but the variability of the cash flows also has a significant bearing on the investment levels of African firms. Cash flow volatility has a significant negative impact on investment even for firms with higher cash flows and unconstrained firms. African firms should not only aim at achieving higher cash flows, but the stability of the cash flows is equally important to sustain solid investment levels.

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This study explores the impact of non-performing loans (NPLs) on the Zimbabwean banking industry’s stability and economic performance during the dollarization era. The panel vector autoregressive (PVAR) model was applied using annual data from 2009 to 2017. The findings indicated that short-run NPL shocks negatively impact the risk-adjusted return, while the impact on risk-adjusted capitalization is positive but dies off in the long run. The findings from the paper further show that NPLs have a strong negative and significant effect on loan growth and economic performance in the short run but remain muted in the long run. The study results also show a bi-directional causality between banking industry stability and NPLs. In summary, NPLs affect banking industry stability, loan growth and economic performance in Zimbabwe. A possible implication is the formulation of a sound regulatory framework that curbs the increase in NPLs, promotes stability within the banking industry, and improves economic performance. The practical implication is that banks must get it right the first time regarding bank lending policies. Thus, the study recommends that Zimbabwean banks proactively manage their exposure to non-performing loans by implementing rigorous credit risk assessment processes.

This study explored the association between cash flow variability and investment behaviour of African listed firms. The research employed a dynamic panel data model estimated with the difference and system Generalised Method of Moments estimation techniques on a panel of 815 listed African non-financial firms. The estimation techniques control for unobserved heterogeneity, endogeneity, autocorrelation, heteroscedasticity and dynamic panel bias. Two different measures of volatility were employed; the exponentially weighted moving average, a forward-looking measure that captures innovations in cash flow volatilities and the coefficient of variation that captures the mechanical effect of the possible relation between cash flow levels and volatility. The results obtained suggested that cash-flow volatility is associated with average lower investment in African firms. These findings show that not only cash flows are an important determinant of investment decisions, but the variability of the cash flows also has a significant bearing on the investment levels of African firms. Cash flow volatility has a significant negative impact on investment even for firms with higher cash flows and unconstrained firms. African firms should not only aim at achieving higher cash flows, but the stability of the cash flows is equally important to sustain solid investment levels.

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