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

Non-agricultural wealth

01

23

45

non

-ag

ricu

ltura

l we

alth

ind

ex

0 1000 2000 3000 4000Production of cereals (kg)

type 1 type 2 type 3 type 4 type 5

Dedza and Ntcheu

Farmer typologies

Malawi/2

Land size, cereal production, maize yield

01

23

4

lan

d s

ize

(h

a.)



Dedza and Ntcheu

Farmer typologies

01

23

4

lan

d s

ize

(h

a.)

0 1000 2000 3000 4000Maize yield (kg/ha)


Dedza and Ntcheu

Farmer typologies

Malawi/3

Land holding

smallholders

small/medium holders

medium holdersmedium/large holders

large holders

-1

-.5

0

.5

1

1.5

2

non-ag wealth household size land size

cereals (kg) hired labour TLU

Dedza and Ntcheu

Tanzania/1

01

23

45

non

-ag

ricu

ltura

l we

alth

ind

ex



Babati, Kongwa, Kiteto

Farmer typologies


Tanzania/2 0

12

34

5

lan

d s

ize

(h

a.)




Farmer typologies

01

23

45

lan

d s

ize

(h

a.)

0 2000 4000 6000 8000Yield of maize(kg/ha), imputed



Farmer typologies


Tanzania/3

Land holding

smallholders



large holders

-1

-.5

0

.5

1

1.5

2



Babati,Kongwa,Kiteto

Ethiopia/1


01

23

4

non

-ag

ricu

ltura

l we

alth

ind

ex

0 2000 4000 6000 8000 10000Production of cereals (kg), imputed


Ethiopian Highlands

Farmer typologies

Ethiopia/2


01

23

45

lan

d s

ize

(h

a.)

0 2000 4000 6000 8000 10000Production of cereals (kg), imputed


Ethiopian Highlands

Farmer typologies

01

23

45

lan

d s

ize

(h

a.)

0 2000 4000 6000Yield of cereal(kg/ha)


Ethiopian Highlands

Farmer typologies

Ethiopia/3

Land holding

smallholders



large holders

-1

0

1

2



Ethiopian Highlands

Mali /1


01

23

4

non

-ag

ricu

ltura

l we

alth

ind

ex

0 2000 4000 6000 8000Production of cereals (kg), imputed


Sikasso

Farmer typologies

Mali/2


05

10

15

lan

d s

ize

(h

a.)

0 5000 10000 15000Production of cereals (kg), imputed


Sikasso

Farmer typologies

05

10

15

lan

d s

ize

(h

a.)

0 1000 2000 3000Yield of cereal(kg/ha), imputed


Sikasso

Farmer typologies

Mali /3

Land holding

smallholders



large holders

-1

0

1

2



Sikasso

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

Africa Research in Sustainable Intensification for the Next Generation

africa-rising.net

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Summary of farmer typologies in the Africa RISING baseline survey data

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