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Kampala Policy Brief #10 Enhancing the Effectiv...

Kampala Policy Brief #10 Enhancing the Effectiveness and Impacts of Public Agricultural Expenditure under CAADP: Dr. Johannes Ziesmer and Prof. Christian Henning

Dr. Johannes Ziesmer, Postdoc and Interim Professor, Kiel University (CAU)
Prof. Christian Henning, Chief Scientist, AKADEMIYA2063

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June 25, 2026

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  1. KAMPALA CAADP SERIES Evidence & Policy Dialogue to Facilitate Africa-wide

    Domestication & Implementation KAMPALA POLICY BRIEF #10 ENHANCING THE EFFECTIVENESS AND IMPACTS OF PUBLIC AGRICULTURAL EXPENDITURE UNDER CAADP CHRISTIAN HENNING JOHANNES ZIESMER June 18, 2026 12:00 – 13:30 GMT Online
  2. Poverty Reduction – PPG Elasticity 0 1 2 3 4

    M aize Rice O ther cereals Pulses O ilseeds Roots Vegetables Sugarcane Tobacco Cotton and fibres Fruits and nuts Coffee, tea and cocoa O ther crops Cattle and raw m ilk Poultry and eggs O ther livestock Forestry Fisheries Processed foods Beverage and tobacco Textiles W ood and paper Sectors kenya rwanda sierra_leone togo relative marginal change in poverty resulting from additional public expenditure into promoting growth in each sector
  3. Poverty Reduction – Key Policy Priority Areas 0 1 2

    3 4 5 MA NR FS STI non−agr Policy Priority Areas kenya rwanda sierra_leone togo relative marginal change in poverty resulting from additional public expenditure into each policy priority area (MA = market access, NR = natural resource management, FS = farm support, STI = science, technology and innovation, non-agr = non-agricultural)
  4. Poverty Reduction – Key Policy Interventions 0.0 2.5 5.0 7.5

    10.0 12.5 M A inf M A digital N R w ater N R land FS coop FS sub STI res STI ext Cons sub Rural−infra Rural internet U rban−infra Policy Interventions kenya rwanda sierra_leone togo relative marginal change in poverty resulting from additional public expenditure into each policy intervention (FS coop = cooperatives, FS sub = farm subsidies, MA inf = physical infrastructure, MA digital = digital infrastructure, NR water = water, NR land = land, STI res = research, STI ext = extension services, Cons sub = consumer subsidies, Rural-infra = rural infrastructure, Urban-infra = urban infrastructure)
  5. Takeaway • CAADP Policy Choices are a complex task •

    No one-size fits all policy set-ups! • Interactive communication between Science and political Decision-Makers is key for effective policy learning • CAADP Policy Tool facilitates interactive Science-Society Communication • BR-Data is key input to empirically specify complex computational modeling framework