"This paper investigates the leading causes of nonperforming loans during the economic and banking crises that affected a large number of countries in Sub-Saharan Africa in the 1990s. Empirical analysis shows a dramatic increase in these loans and extremely high credit risk, with significant differences between the CFA and non-CFA countries, and substantially higher financial costs for the latter sub-panel of countries. The results also highlight a strong causality between these loans and economic growth, real exchange rate appreciation, the real interest rate, net interest margins, and interbank loans consistent with the causality and econometric analysis, which reveal the significance of macroeconomic and microeconomic factors. The dramatic increase in these loans is largely driven by macroeconomic volatility and reflects the vulnerability of undiversified African economies, which remain heavily exposed to external shocks. Simulated results show that macroeconomic stability and economic growth are associated with a declining level of nonperforming loans; whereas adverse macroeconomic shocks coupled with higher cost of capital and lower interest margins are associated with a rising scope of nonperforming loans. These results are supported by long-term estimates of nonperforming loans derived from pseudo panel-based prediction models. "--World Bank web site.

This paper investigates the leading causes of nonperforming loans during the economic and banking crises that affected a large number of countries in Sub-Saharan Africa in the 1990s. Empirical analysis shows a dramatic increase in these loans and extremely high credit risk, with significant differences between the CFA and non-CFA countries, and substantially higher financial costs for the latter sub-panel of countries. The results also highlight a strong causality between these loans and economic growth, real exchange rate appreciation, the real interest rate, net interest margins, and interbank loans consistent with the causality and econometric analysis, which reveal the significance of macroeconomic and microeconomic factors. The dramatic increase in these loans is largely driven by macroeconomic volatility and reflects the vulnerability of undiversified African economies, which remain heavily exposed to external shocks. Simulated results show that macroeconomic stability and economic growth are associated with a declining level of nonperforming loans; whereas adverse macroeconomic shocks coupled with higher cost of capital and lower interest margins are associated with a rising scope of nonperforming loans. These results are supported by long-term estimates of nonperforming loans derived from pseudo panel-based prediction models.

It is a well-known fact that one of the most important determinants of growth is private investment. But in the developing country context of widespread poverty, the effects of initial conditions on the process of capital accumulation have seldom been investigated. This paper highlights heterogeneity in the process of capital accumulation across different countries in Sub-Saharan Africa, and derives a formal specification of investment functions in the primary, industry, and service sectors in the region using a variation of the combined Tobin's Q Theory and the neoclassical models of investment. The results highlight a more rapid accumulation of capital in the relatively high income subpanel and a widening public-private capital accumulation gap. A functional specification points to the significance of aggregate profitability shocks, the financing cost of investment, and public capital stock in estimating the growth rate of private capital accumulation. These results are supported empirically, as highlighted by the relatively small absolute deviation between actual and predicted value distributions.

The benefits from growth following devaluation of the CFA franc in Burkina Faso in 1994 were undermined by increasing income inequality. Factors that fed that growth in income inequality: disparities in wages and in educational attainment and unequal access to productive assets.

Based on national household surveys carried out in 1994 and 1998. Identifies the key determinants of poverty during the post-devaluation growth period as the burden of age dependency, asset ownership structure, household amenities and spatial location of households.