appropriate and equitable mechanization in africa appropriate and equitable...frédéric baudron,...

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Frédéric Baudron, David Kahan, Pascal Kaumbutho, John Sariah, Joseph Mutua, Richard Rose, Saidi Mkomwa, Brian Sims, John Blackwell Appropriate and Equitable Mechanization in Africa through Conservation Agriculture, Use of Two-Wheel Tractors, and Involvement of the Private Sector.

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Frédéric Baudron,

David Kahan, Pascal Kaumbutho, John Sariah, Joseph Mutua,

Richard Rose, Saidi Mkomwa, Brian Sims, John Blackwell

Appropriate and Equitable Mechanization in Africa

through Conservation Agriculture, Use of Two-Wheel Tractors, and

Involvement of the Private Sector.

More Farm Power Needed in

Africa…

144.8

172.9186 188.2

0

50

100

150

200

1992 1997 2002 2007

Nu

mb

er

of

un

de

rno

uri

sh

ed

in

SS

A (

mil

lio

ns

)0

0.5

1

1.5

2

1980 1985 1990 1995 2000 2005 2010

Urb

an

pe

rso

ns

pe

r a

cti

ve

p

ers

on

in

ag

ric

ult

ure

Ethiopia Kenya

Malawi Mozambique

Tanzania Zimbabwe

Population is growing faster than food production

Unmet demand: rising number of undernourished people

Increasingly urban demand: more processing, more transport

Producing more, processing more and transporting more requires more power

… but Available Farm Power has

been Stagnating

0

5

10

15

1980 1985 1990 1995 2000 2005 2010

Den

sit

y o

f tr

ac

tors

(n

b p

er

10

00

ha

)

IndiaEthiopiaKenyaMalawiMozambiqueTanzaniaZimbabwe

0

0.5

1

1.5

2

1980 1985 1990 1995 2000 2005 2010

Des

nit

y o

f c

att

le a

nd

b

uff

alo

es

(h

ea

ds

pe

r 1

00

0 h

a)

0

0.5

1

1.5

1980 1985 1990 1995 2000 2005 2010

De

ns

ity o

f e

co

no

mic

all

y a

cti

ve

p

eo

ple

in

ag

ric

ult

ure

(p

eo

ple

pe

r h

a)

Drudgery (mainly Placed on

Women)

Power ?

A major limiting factor?

0

2

4

6

8

10

12

14

0 pair 1 pair ≥ 2 pairs

Cere

al

pro

du

cti

on

(t

farm

-1)

Number of oxen

(Baudron et al., 2014)

0

10

20

30

40

50

60

70

80

0 0.2 0.4 0.6 0.8 1

N i

np

ut

fro

m m

an

ure

(k

g h

a-1

year-1

)

Distance plot - homestead (km)

Very rich

Rich

Poor

Very poor

(Zingore et al., 2010)

0

5

10

15

20

25

30

35

40

Pro

po

rtio

n o

f to

tal

an

nu

al

lab

ou

r (%

)

No pair of oxen

One pair of oxen

Two pairs of oxen or more

(Baudron et al., 2012)

0.5

1

1.5

2

2.5

3

3.5

0 20 40 60 80

Co

tto

n y

ield

(kg

ha

-1)

Planting date (days after the 1st of Nov)

(Baudron et al., 2011)

Addressing the Issue of

Declining Farm Power

Decreasing power demand:

Conservation Agriculture

Increasing power supply:

Mechanization

CA & Appropriate-scale

MechanizationSoil inversion is the most power intensive operation. Its suppression

makes the use of lower powered, more affordable and easier to

maintain tractors possible.

Strip tillage Direct-seeding: 2 rows Direct-seeding: 1 row

CA with a Two-Wheel Tractor

US$ 772

US$ 1,649

US$ 1,156US$ 863

US$ 2,826US$ 4,120

Stony fields

Weed load Transport

Singulation of large seeds

No true ‘best bet’

US$ 800

Locally-made tool-bar-based

seeder

Small and fragmented fields, reliance on small machines

But one of the most mechanized agriculture of South Asia

Service providers

Only 1 in 30 farmers owned a tractor

Equity: even the poorest access 2WTs services

Key to success

Low cost of the machines

Multi-purpose machines

Private sector-led model

Importer

Retailer

2WT owner

Contract farmer

Farmer

Mechanic Driver

Spare parts’

provider

Diesel and oil

provider

Making small-scale mechanization

viable: the Bangladesh experience

Developing business models to deliver

small mechanization

Importer/

manufacturer Operators Farmers

Support service facilitators

Financial service provision

Spare part

manufacturers

Mark

et

access

Service

provider

Financial and information flows

Physical flows

Institutional environment (laws, regulations, etc.)

“A business model is how a

company organizes to generate

revenue and sustain itself” (Alexander Osterwalder )

Service

provider

Support service facilitators

• Ethiopia:

o Farmer cooperatives (supplied by private

sector dealers)

o Custom hiring services (entrepreneurs

supplied by a public company importing equipment;

loans)

• Kenya:

o One-stop-shop (cluster of agribusinesses

providing a broad range of services)

• Tanzania

o Private sector dealer model (linking to farmer

groups)

• Zimbabwe

o Contract farming (package of inputs and

services provided on credit)

• Coordination (inter-business

linkage)

• Capacity-building

• Information

• Promotion (e.g. branding)

• Finance

1. Private rural service providers (only few farmers will be able to purchase machines individually)

2. Flexibility of BM (changing local context)

3. Possible need of a broker (weak markets, vulnerable farmers)

4. Linking input BM to output BM (cash flow)

5. Multi-purpose uses (to maximize mechanization use rates)

6. Bundling of services and products (to

reduce the cost of mechanization services)

7. Possible need for kick-start ‘smart’ subsidies (to get the private sector involved)

Business Model Development:

7 Principles

Conclusion: Why Should it Work This

Time?

Demand for mechanized services has increased (intensification, commercial orientation)

Supporting infrastructure (e.g. access to finance, repair services, fuel and lubricants) has developed

Past focus on 4WTs (inappropriate for small and fragmented fields, and too costly for African smallholders)

Past public sector focus (inefficient and uneconomic government-run tractor hire schemes)

Tapping the synergies between CA and small mechanization

0

1

2

3

4

5

6

7

8

1960 1970 1980 1990 2000 2010

Valu

e o

f ad

ded

by a

gri

cu

ltu

re

(billio

n c

urr

en

tU

S$)

Ethiopia

Kenya

Malawi

Mozambique

Tanzania

Zimbabwe

Thank you!