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Summary of farmer typologies in the Africa RISING baseline survey data

  1. Summary of farmer typologies in the Africa RISING baseline survey data Carlo Azzarri, IFPRI Africa RISING Monitoring and Evaluation Meeting Arusha, Tanzania, 13-14 November 2014
  2. Malawi/1 0 1 2 3 4 5 Farmer typologies Dedza and Ntcheu 0 1000 2000 3000 4000 Production of cereals (kg) type 1 type 2 type 3 type 4 type 5 Non-agricultural wealth
  3. Malawi/2 Farmer typologies Dedza and Ntcheu Land size, cereal production, maize yield 0 1 2 3 4 0 1000 2000 3000 4000 Production of cereals (kg) type 1 type 2 type 3 type 4 type 5 0 1 2 3 4 land size (ha.) Farmer typologies Dedza and Ntcheu 0 1000 2000 3000 4000 Maize yield (kg/ha) type 1 type 2 type 3 type 4 type 5
  4. Malawi/3 large holders Land holding Dedza and Ntcheu smallholders small/medium holders -1 -.5 0 .5 1 1.5 2 medium/large holders medium holders non-ag wealth household size land size cereals (kg) hired labour TLU
  5. Tanzania/1 0 1 2 3 4 5 Farmer typologies Babati, Kongwa, Kiteto 0 2000 4000 6000 8000 Production of cereals (kg) type 1 type 2 type 3 type 4 type 5 Non-agricultural wealth
  6. Tanzania/2 0 1 2 3 4 5 Farmer typologies Babati, Kongwa, Kiteto 0 2000 4000 6000 8000 Production of cereals (kg) type 1 type 2 type 3 type 4 type 5 0 1 2 3 4 5 land size (ha.) Farmer typologies Babati, Kongwa, Kiteto 0 2000 4000 6000 8000 Yield of maize(kg/ha), imputed type 1 type 2 type 3 type 4 type 5 Land size, cereal production, maize yield
  7. Tanzania/3 large holders Land holding Babati,Kongwa,Kiteto smallholders small/medium holders -1 -.5 0 .5 1 1.5 2 medium/large holders medium holders non-ag wealth household size land size cereals (kg) hired labour TLU
  8. Ethiopia/1 0 1 2 3 4 Farmer typologies Ethiopian Highlands 0 2000 4000 6000 8000 10000 Production of cereals (kg), imputed type 1 type 2 type 3 type 4 type 5 Non-agricultural wealth
  9. Ethiopia/2 Farmer typologies Ethiopian Highlands Farmer typologies Ethiopian Highlands Land size, cereal production, maize yield 0 1 2 3 4 5 0 2000 4000 6000 8000 10000 Production of cereals (kg), imputed type 1 type 2 type 3 type 4 type 5 0 1 2 3 4 5 land size (ha.) 0 2000 4000 6000 Yield of cereal(kg/ha) type 1 type 2 type 3 type 4 type 5
  10. Ethiopia/3 large holders Land holding Ethiopian Highlands smallholders small/medium holders -1 0 1 2 medium/large holders medium holders non-ag wealth household size land size cereals (kg) hired labour TLU
  11. Mali /1 0 1 2 3 4 0 Farmer typologies 2000 4000 6000 8000 Production of cereals (kg), imputed type 1 type 2 type 3 type 4 type 5 Non-agricultural wealth Sikasso
  12. Mali/2 Farmer typologies Sikasso 10 15 Farmer typologies Land size, cereal production, maize yield 10 15 0 5 0 5000 10000 15000 Production of cereals (kg), imputed type 1 type 2 type 3 type 4 type 5 0 5 land size (ha.) Sikasso 0 1000 2000 3000 Yield of cereal(kg/ha), imputed type 1 type 2 type 3 type 4 type 5
  13. Mali /3 large holders Land holding Sikasso smallholders small/medium holders -1 0 1 2 medium/large holders medium holders non-ag wealth household size land size cereals (kg) hired labour TLU
  14. 14 Summary and road ahead  Objective of the typologies: good fit between targeted farmers and appropriate interventions  Trade-off between intra-cluster and inter-cluster homogeneity, not too few variables, not too many  The present typologies are based on 6 variables: Non-ag wealth, hh size, land size, cereals production, % prevalence of hired labor, total TLU  Typologies should be tailored to the type of interventions, local conditions and specific needs…  …let’s sit down and agree on the dimensions to be considered in each mega-site/country/district/woreda
  15. Thank You Africa Research in Sustainable Intensification for the Next Generation africa-rising.net The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.
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