Recent micro level data from East Africa is used to benchmark aggregate data and assess the role of agricultural inputs in explaining variation in crop yields on smallholding plots. Fertilizer, improved seeds, protection against erosion and pesticides improve crop yields in Rwanda and Ethiopia, but not Uganda, possibly associated with lack of use there. With all positive yield determinants in place, wheat and maize yields could increase fourfold.
The data hints at the negative effect of climate change on yields and the benefits of accompanying measures to mitigate its adverse impact (access to finance and protection against erosion). The adverse effect of crop damage on yields varies between 12/13 percent (Rwanda, Uganda) to 36 percent (Ethiopia). Protection against erosion and investment financing mitigate these effects considerably.
Although few would doubt that very high inflation is bad for growth, there is much less agreement about moderate inflation’s effects. Using panel regressions and a nonlinear specification, this paper finds a statistically and economically significant negative relationship between inflation and growth. This relationship holds at all but the lowest inflation rates and is robust across various samples and specifications. The method of binary recursive trees identifies inflation as one the most important statistical determinants of growth. Finally, while there are short-run growth costs of disinflation, these are only relevant for the most severe disinflations, or when the initial inflation rate is well within the single-digit range.