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Identifying commodity-specific priority investments in selected districts of Uganda












Shinyekwa, I.M.B., Bulime, E.W.N., Luwedde, J., Birabwa Aliro, E., Kajumba, M.M. & Nattabi, A.K. 2023. Identifying commodity-specific priority investments in selected districts of Uganda. FAO Agricultural Development Economics Technical Study, No. 29. Rome, FAO. 




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    Policy brief
    Commodity investment needs in the eyes of Ugandan farmers and experts 2023
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    This policy brief highlights the main findings from the FAO Agricultural Development Economics Technical Study ‘Identifying commodity-specific priority investments in selected districts of Uganda’. The findings include a ranking from one to eight of priority investment areas – seeds/breeds, fertilizers/veterinary drugs, mechanization, irrigation, extension, research and development for five selected commodities (cassava, coffee, goats, maize and millet) in five districts in Uganda – from the perspective of farmers and local experts, who ultimately produce or support the production of the five commodities. The findings reveal that for commodities cassava, coffee, goats, maize and millet, the Ugandan farmers and district agriculture experts ranked improved seeds or breeds very highly across the five commodities and districts. Similarly, investments in extension services (more frequent visits, materials and visits given in local languages, and sharing of best practices) were perceived to be critical. Investments in fertilizers also ranked high because cost and quality issues were seen as key constraints to productivity. At the lower end of priority ranking came investments in roads and in electrification. This study can help inform government policymaking and improve the cost-effectiveness of public investments in agriculture as they reveal on-the-ground investment needs from local farmers and experts, while also providing district- and commodity-specific policy evidence, which is important in highly decentralized government services.
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    Book (series)
    A tool to support the spatial prioritization of commodity-specific investments
    An application to Uganda
    2022
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    In this paper, we propose a simple methodology to select a limited number of geographical areas to prioritize for commodity-specific investments in Uganda. Similar to other approaches for prioritizing investments geographically, the basic idea behind the proposed method is that districts with high agro-ecological potential, that are also far from their potential and have high levels of poverty, should be prioritized for commodity-specific investments as they are where investments are likely to have the highest impact. The methodology then proposes an iterative elimination algorithm to provide a list of suggested districts that rank high in all dimensions. The results highlight that prioritized districts are very context and commodity specific. In certain cases (e.g. sugar cane or millet), prioritized districts tend to be highly concentrated in one geographical region, whereas they tend to be more spread out for the sectors producing other commodities (i.e. bananas, coffee, goats, cassava and maize). The results are expected to inform a discussion with policymakers in Uganda which is expected to culminate in the selection of an even narrower set of districts for which more in-depth analyses of commodity-specific investments will be undertaken at the level of priority areas, including, among others, irrigation, mechanization, seeds and fertilizers.
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    Policy brief
    Geographically prioritizing commodity investments in Uganda
    Policy Brief
    2022
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    This policy brief highlights the main findings of a new methodology to identify geographical areas where, in theory, investments are likely to have big impacts in terms of both agricultural growth and poverty reduction. By highlighting districts within Uganda that have as-yet untapped agricultural potential for key commodities and that suffer high-levels of poverty, policymakers can use this tool to help pinpoint where commodity-specific investments should go, making these investments more cost-effective and with the biggest payback in terms of food security and poverty reduction. After running the analysis, the economic model found that priority districts are highly context and commodity specific. For millet and sugar cane, the results show that a cluster of districts in eastern Uganda display both the highest unrealized potential and poverty rates, with selected areas for millet located more to the north owing to more arid climates. Whereas, for the other commodities, the districts are more spread out in the country. For example, for maize the model selected districts in northern and eastern Uganda. For bananas, cassava and coffee, the most suitable districts are in the western and central regions. For goats, there was no clear spatial concentration and identified districts are spread out across the territory.

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