Summary of farmer typologies in the Africa RISING baseline survey data
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Thank You
Africa Research in Sustainable Intensification for the Next Generation
africa-rising.net
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