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The Impact of Commodity Price Changes On Rural Households : The Case of Coffee in Uganda
Authors: --- --- ---
Year: 2006 Publisher: Washington, D.C., The World Bank,

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Abstract

Policies and external shocks affecting agriculture, the main source of income for rural households, can be expected to have a significant impact on poverty. The authors study the case of Uganda. Throughout the 1990s, more than 90 percent of its poor lived in rural areas and, during the same period, large international price fluctuations as well as an extensive domestic deregulation affected the coffee sector, its main source of export revenues. Using data from three household surveys covering the 1990s, the authors confirm a strong correlation between changes in coffee prices (in a liberalized market) and poverty reduction. This is highlighted by comparing the performance of different households grouped according to their dependence on coffee farming. Regression analysis (based on pooled data from the three surveys) of consumption expenditure on coffee-related variables, other controls, and time-fixed effects corroborates that the mentioned correlation is not spurious. The authors also find that while both poor and rich farmers enter the coffee sector, the price boom benefits the poorer households relatively more, whereas the liberalization seems to create more opportunities for richer farmers. Finally, notwithstanding the importance of the coffee price boom, the agricultural policy framework and the thorough structural reforms in which the coffee market liberalization was embedded have certainly played a role in triggering overall agricultural growth. These factors appear to matter especially in the second half of the 1990s when prices went down but poverty reduction continued.


Book
Forests, Biomass Use, And Poverty In Malawi
Authors: --- ---
Year: 2006 Publisher: Washington, D.C., The World Bank,

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In this paper, the authors seek to answer three questions about poverty and forests in Malawi: (1) What is the extent of biomass available for meeting the energy needs of the poor in Malawi and how is this distributed? (2) To what extent does fuelwood scarcity affect the welfare of the poor? (3) How do households cope with scarcity? In particular, do households spend more time in fuelwood collection and less time in agriculture in response to scarcity? The authors attempt to answer these questions using household and remote-sensing data. They find that 80 percent of rural poor households in Malawi are likely to benefit from an increase in biomass per hectare in their community. Rural women respond to biomass scarcity by increasing the time they spend on fuelwood collection. But the actual decrease in consumption expenditure and increase in time in fuelwood collection are small and biomass scarcity is not associated with a reduction in agricultural labor supply.

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