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AAMP Training MaterialsModule 4.3: Marketing Margins & Marketing Costs
T.S. Jayne (MSU)[email protected]
Objectives
• Understand relationships between food prices between countries
• Examine the relationships between food prices at different marketing levels
Maize price vs. import parity, Lilongwe, Malawi
0
100
200
300
400
500
600
2000 2002 2004 2006 2008
Lilongwe retail
cif Lilongwe fromSouth Africa
US
D p
er m
etri
c to
n
Maize prices vs. import parity, Blantyre Malawi
0
100
200
300
400
500
600
2000 2002 2004 2006 2008
Blantyre retail
cif Blantyre fromSouth Africa
US
D p
er m
etri
c to
n
Maize prices vs. import parity, Nairobi, Kenya
150
200
250
300
350
400
450
500
2006 2007 2008 2009
US
D p
er m
etri
c to
n
Nairobi wholesale
import parity fromSouth Africa
Wholesale maize grain and maize meal prices, Zambia
0
400
800
1200
1600
2000
2400
2800
3200
3600
1996 1998 2000 2002 2004 2006 2008
Breakfast meal, LusakaBreakfast meal, Ndola
wholesale maize grain, Lusakawholesale maize grain, Choma
nom
inal
kw
acha
per
kg
Motivation
• Why bother studying the relationship between food prices in one market and another?
• Why bother studying the relationship between food prices at one level (e.g., farm-gate) and food prices at another level (e.g., retail)?
Definitons
• Spatial marketing margins• Spatial marketing costs• Vertical marketing margins• Vertical marketing costs
Luchenza retail price and farmer-reported prices received in remote villages in Mulanje District,
2009/10 marketing year
0
10
20
30
40
50
60
70
80
90
2009:03 2009:05 2009:07 2009:09
Luchenza retail
MK
per
kg
Wholesale maize grain and breakfast meal prices, Zambia (nominal prices)
0
400
800
1200
1600
2000
2400
2800
3200
3600
1996 1998 2000 2002 2004 2006 2008
Breakfast meal, LusakaBreakfast meal, Ndola
wholesale maize grain, Lusakawholesale maize grain, Choma
nom
inal
kw
acha
per
kg
Wholesale maize grain and breakfast meal prices, Zambia (real prices)
0
1000
2000
3000
4000
5000
6000
7000
1996 1998 2000 2002 2004 2006 2008
Breakfast meal, LusakaBreakfast meal, Ndola
wholesale grain, Lusakawholesale grain, Choma
kwac
ha p
er k
g (c
onst
ant
2007
=10
0)
Determinants of marketing margins
• Spatial margins:– 1– 2– 3
• Vertical margins– 1– 2– 3
Why might margins ≠ costs
• Spatial margins:– 1– 2– 3
• Vertical margins– 1– 2– 3
What does it mean if:
• Spatial margins < transfer costs– 1– 2– 3
• Spatial margins > transfer costs– 1– 2– 3
Maize prices vs. import parity, Nairobi Kenya
100
200
300
400
500
600
700
2006:01 2007:01 2008:01 2009:01
US
D p
er m
etri
c to
n
import parity (tariff removedJanuary 28, 2009)
Nairobi wholesale
December 2008, Kenya
0
100
200
300
400
500
600
700
800
122000
124000
126000
128000
130000
132000
134000
136000
138000
06:01 06:07 07:01 07:07 08:01 08:07
imports through Mombasacif Nairobi w/o tariff
cif Nairobi w/ tariffNairobi wholesale
US
D p
er m
etri
c to
ntons im
ported
February 2009, Kenya – tariff removed
100
200
300
400
500
600
700
800
0
20000
40000
60000
80000
100000
120000
140000
2007:01 2007:07 2008:01 2008:07 2009:01
imports thru Mombasacif Nairobi w/ tariff
cif Nairobi w/o tariffwholesale markets, Nairobi
US
D p
er t
ontons im
ported
April 2009, Kenya
100
200
300
400
500
600
700
800
0
20000
40000
60000
80000
100000
120000
140000
2007:01 2007:07 2008:01 2008:07 2009:01
tons importedcif Nairobi w/tariff
cif Nairobi w/o tariffwholesale markets, Nairobi
US
D p
er m
etri
c to
ntons im
ported
August 2009, Kenya
100
200
300
400
500
600
700
800
0
20000
40000
60000
80000
100000
120000
140000
2007:01 2007:07 2008:01 2008:07 2009:01 2009:07
Imports to Mombasacif Nairobi with tariff
cif Nairobi w/o tariffwholesale markets, Nairobi
metric tons im
portedUS
D p
er m
etri
c to
n
Exercises
• Examine maize prices at– SAFEX– Blantyre, Malawi– & Transfer costs between them
• Compute the spatial price spread• Compute import parity prices at Blantyre• On the basis of spatial margins vs. transfer costs, predict
the months in which you would expect to see imports occurring
• Compare this with actual trade flows• Explain the reasons for what you see