Industrial Clusters and Business Performance of Micro and Small Enterprises in Africa
Figure 4.3 Suppliers
75
Distribution of Sales and Purchases, by Location of Buyers and
a. Metal and machinery 50
po rts
ne i
ex
to
ot he r
ne i
gh to bo sa rh m oo e d ne ig hb or ho in od cit s y to o sa the m rc e iti co es un in try
0 –10
ex
10
fro m
20
po rts
input purchases
30
f gh rom fro bo sa m rh m ot oo e he d rn ei gh bo rh o in od cit s fro y m o sa the m rc e iti co es un in try
output sales
40
80 70 60 50 40 30 20 10 0 –10 –20
b. Textiles and garments 70 60
po
rts po ex
ne
to
ot
he
ne
ig
–20
hb to or sam ho e od rn ei gh bo rh o in od cit s y to o sa the m rc e iti co es un in try
0 –10
ex
10
m
20
fro
30
rts
input purchases
40
ig from fro hb m or sam ho e ot he od rn ei gh bo rh o in od cit s fro y m o sa the m rc e iti co es un in try
output sales
50
90 80 70 60 50 40 30 20 10 0 –10 –20
c. Wood and furniture 70
80
60
70 60
30 20
ne
–20
fro
to
m
ot
he r
ne
ig
ex p
or
ts
–10
hb to or sam ho e od ne ig hb or ho in od cit s y to o sa the m rc e iti co es un in try
0
–10
or ts
10
0
ex p
10
40
m
20
50
fro
30
ig from hb or sam ho e od rn ei gh bo rh o in od cit s fro y m o sa the m rc e iti co es un in try
40
ot he
input purchases
output sales
50
inside of cluster
outside of cluster
poly. (inside of cluster)
poly. (outside of cluster)
Source: Bougna and Yoshino 2009, based on the data of micro and small enterprises inside the 10 light manufacturing clusters and their outside comparators collected as part of the original five-country case studies of industrial clusters.