SPATIAL ANALYSIS OF SUSTAINABLE LIVELIHOOD ENTERPRISES OF UGANDA COTTON PRODUCTION
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Because the conditions for agricultural development vary considerably across space,
we need to develop methods that allow us to take such variability into account when
evaluating development strategies for particular crops or farming systems. This paper
addresses spatially varying characteristics in an evaluation of the potential economic benefits
of three cotton development strategies for Uganda: area expansion, productivity
improvement, and domestic consumption increase. We begin with a historical review of
cotton production in Uganda. We then described the major challenges and opportunities for
Ugandan cotton production, including farm-level production constraints. Household-level
production data from the 2000 Uganda National Household Survey (UNHS) are used to
estimate the current spatial distribution of cotton production (called the cotton production
area, or CPA), based on the association of household cotton production with ranges in
mapped variables (altitude, length of growing period, and population density), district cotton
production statistics and expert knowledge of local production patterns. Cotton development
domains (CDDs) are then defined by agroclimatic suitability, market/ginnery access, and
inclusion in the CPA. We use the UNHS data to evaluate the importance of cotton as a
livelihood enterprise and its role in rural livelihood strategies. Key ecosystems and protected
areas are considered in conjunction with the CDDs in defining feasible areas for expansion of
production. Finally, the Dynamic Research Evaluation for Management (DREAM) model is
used to estimate benefits that accrue from the three development strategies considered.