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Africa > Uganda

You are looking at 1 - 4 of 4 items for :

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Cover IMF Working Papers
Improving Crop Yields in Sub-Saharan Africa - What Does the East African Data Say
Mr. Alun H. Thomas
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.
Keywords:
WP; yield; crop; crop yield; Rwanda; Ethiopia; East Africa; inputs; crop damage; yield determinant; Ethiopia crop; aggregate yield data; Agroindustries; Consumption; Agricultural sector; Agricultural commodities; Sub-Saharan Africa; Africa; Climate change
Cover IMF Staff Country Reports
Rwanda: Selected Issues
International Monetary Fund. African Dept.
This Selected Issues paper analyzes investment strategy to foster structural transformation in Rwanda. Over the past 15 years, Rwanda has transformed its economy by moving workers out of agriculture into mostly services and some industry. This has been accomplished through strong public investment flows and efficient public investment management. Going forward, the challenge is whether the private sector can complement the infrastructure assets put in place by the public sector and maintain economic momentum. It will also require continued effort by the government in raising education standards, better matching qualifications offered to students to those most in demand by employers, and lowering electricity and transportation costs.
Keywords:
EAC gender inequality indicator; banking sector soundness indicator map; UN gender inequality Index; D. gender equality in Rwanda; private sector credit; C. gender inequality; Gender inequality; Women; Financial inclusion; Agricultural sector; Sub-Saharan Africa; Global; Africa
Cover IMF Working Papers
The Role of Productivity, Transportation Costs, and Barriers to Intersectoral Mobility in Structural Transformation
Cem Karayalcin
and
Mihaela Pintea
The process of economic development is characterized by substantial reallocations of resources across sectors. In this paper, we construct a multi-sector model in which there are barriers to the movement of labor from low-productivity traditional agriculture to modern sectors. With the barrier in place, we show that improvements in productivity in modern sectors (including agriculture) or reductions in transportation costs may lead to a rise in agricultural employment and through terms-oftrade effects may harm subsistence farmers if the traditional subsistence sector is larger than a critical level. This suggests that policy advice based on the earlier literature needs to be revised. Reducing barriers to mobility (through reductions in the cost of skill acquisition and institutional changes) and improving the productivity of subsistence farmers needs to precede policies designed to increase the productivity of modern sectors or decrease transportation costs.
Keywords:
WP; subsistence farming; terms of trade; Structural transformation; Subsistence agriculture; multi-sector models; Economic development; Transportation costs; transportation cost; agriculture sector; productivity improvement; modern agriculture; productivity difference; excess demand; improvement result; Agricultural sector; Productivity; Transportation; Manufacturing; Sub-Saharan Africa
Cover IMF Working Papers
Inflation, Disinflation, and Growth
Mr. Atish R. Ghosh
and
Mr. Steven T Phillips
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.
Keywords:
WP; rate of inflation; GDP growth; exchange rate; terms of trade; inflation; growth determinants; growth regressions; robustness; inflation-growth relationship; inflation coefficient; inflation-growth association; Disinflation; Human capital; Agroindustries; Public expenditure review; Global