Potential Impact of Climate Change and Armed Conflict on Inequality in Sub-Saharan Africa

This study investigates the potential impact of climate change and armed conflict on inequality in Sub-Saharan Africa (SSA). The system-GMM for a panel of 35 SSA countries is employed using annual data from 1997 to 2018. The empirical results indicate that armed conflict and climate are major drivers of inequality in SSA. The direct impact of the two determinants is more than the indirect impact. Also, the impact of armed conflict is more than the climate change. The coefficients of population growth, output growth, unemployment, natural rent, exchange rate and inflation rate are significant positive predictors of inequality in the SSA. The study advocates for a multidisciplinary inclusive growth strategy that prioritises the climate change reversal, de-escalation of armed conflict, population control, reduction of the unemployment rate and increasing informal sector productivity, to promote inclusive growth and reduce inequality. However, sequencing the policy targets relative to the magnitude of their impact on inequality is extremely crucial.     

Estimating the Impact of Transgenic Bt Cotton on West and Central Africa: A General Equilibrium Approach

West and Central Africa (WCA)’s cotton sector is experiencing rising production costs and lower yields, reversing decades of growth. Declining input use, soil fertility and inefficient chemical pest controls are contributing factors. We evaluate the potential impact of Bt cotton on WCA using a multiregion general equilibrium model and multicountry estimates of Bt-induced productivity. We find that Bt cotton raises growers’ returns, land value and welfare. Released labor from cotton is shifted to food crops hence reducing labor shortage constraints. Overall, results indicate that potential gross benefits from Bt cotton are substantial for WCA cotton sector, and that the economic costs of nonadoption are equally significant.     

Land Transport for Export: The Effects of Cost, Time, and Uncertainty in Sub-Saharan Africa

In Sub-Saharan Africa (SSA), inland export transport costs and time delays are much higher for landlocked countries, vary substantially between different geographic corridors, and exhibit substantial uncertainty. Unit costs and costs of time for land transport of exports are high for many agricultural products relative to metals and other high-value products. We illustrate systemic uncertainty in land and maritime transport for exporting by use of simulation. Relationships among uncertainty, infrastructure quality, and other features of logistics systems are highly non-linear, and can be potentially used to identify priorities for trade facilitation.     

The Food (In)Security Impact of Land Redistribution in South Africa: Microeconometric Evidence from National Data

The South African land-reform program has been widely criticized for its slow pace as well as its apparent lack of contribution to poverty reduction. No econometric evidence of the impact of land transfers has been provided to date and this paper attempts to fill this gap by considering the impact of receiving a land grant on households’ food insecurity. Propensity score matching and univariate probit estimates using two national household surveys indicate that, on average, land grant recipients are more food insecure than comparable non-participants. Recursive bivariate probit estimates suggest that selection bias is not driving this result.     

Determinants of a Digital Divide in Sub-Saharan Africa: A Spatial Econometric Analysis of Cell Phone Coverage

This paper investigates the determinants of disparities in coverage by cell telephone systems in Sub-Saharan Africa. It uses a spatially disaggregated probit for over 990,000 grid cells with adjustments for spatial autocorrelation. Determinants include potential market size (population); cost factors related to accessibility (elevation, slope, distance from a main road, and distance from the nearest large city); and competition policy. Estimates indicate significant results for the supply–demand variables, and very strong results for the competition policy index.Simulations suggest that a generalized improvement in competition policy could lead to huge improvements in cell phone area coverage, and to an overall coverage increase of nearly 100%.     

Infrastructure and poverty reduction: Assessing the dynamic impact of Chinese infrastructure investment in sub-Saharan Africa

Infrastructure investment is essential for African countries to enhance economic activities and reduce poverty; however, the conclusions from national-level studies remain ambiguous. Combining geo-coded Chinese infrastructure project data from 2000 to 2014 and Demographic and Health Surveys information, we employ a spatiotemporal estimation strategy and explore the dynamic effectiveness of Chinese infrastructure investment on local multidimensional poverty in sub-Saharan Africa and its mechanisms. Our findings demonstrate that infrastructure projects can continuously alleviate local multidimensional poverty following project completion, primarily by improving living standards through local industrialization and increasing individual employment stability. Further investigating heterogeneities, we determine that Chinese infrastructure projects are more effective for self-dependent recipients, in rural areas, and when overseen by state-owned enterprises. Our findings provide insights into the long-term effectiveness for underdeveloped countries to reduce local poverty with Chinese infrastructure investment.