Effect of financial development on international trade in Africa: Does measure of finance matter?

Although improving international trade on the back of financial sector development is one of the preoccupations of countries in Africa, empirical literature on financial development-trade nexus has not been rigorous in examining how finance shapes trade. In this study, we examine the effect of financial development on international trade in Africa relying on data for 46 countries over the period 1980–2015. Results from our system generalized method of moments reveal differential effects of finance on trade. In particular, we notice that, private credit does not promote trade while domestic credit positively affects trade. These effects are robust to measures of trade. Thus, improving the level of private (domestic) credit dampens (amplifies) exports and trade openness. However, we also find a U-shaped relationship between private credit and trade measures suggesting that financial sector development may be detrimental (helpful) to trade for economies with low (high) level of private credit.     

The role of social networks in the adoption of competing new technologies in Ghana

We use a detailed dataset to examine the impact of social networks, conditional on contextual and individual confounders, on farmers' adoption of competing improved soybean varieties in Ghana. Based on the contagion conceptual framework, we employ a spatial autoregressive multinomial probit model to examine how neighbours' varietal and cross-varietal adoption of improved varieties affect a farmer's adoption decision in the social network. Our results show that adoption decisions in a network tend to converge on one variety, such that beyond a threshold of adopting neighbours of that improved variety, the cross-varietal effects tend to lose significance in the network. If the shares of adopting neighbours of the improved varieties are equal, we find evidence that farmers are not more likely to adopt either improved variety compared to farmers with no neighbours who have adopted the improved varieties. The findings demonstrate the significance of neighbourhood effects in the adoption of competing technologies.     

Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana

Journal of Productivity Analysis - We investigate the impact of farmers’ egocentric information network on technical efficiency and its distribution in the network, using observational data...