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Terms of Trade Reversal? The Challenge to Development
Strategy
IKD Seminar
18th January 2007
Terms of trade decline
• The prevailing post WW2 wisdom
• But, Singer/Prebisch:– Commodities are inputs into manufactures– Demand low for commodities as incomes rise– Demand for commodities falls as their price
increases– Synthetic substitute for natural materials– Low innovation barriers to entry
And then one other “Singer insight”…
• Labour markets– Cost-plus pricing in high income countries– Reserve army of labour in low income
economies
• So manufactures vs commodities really a surrogate for high income vs low income
Manufactures-commodities terms of trade
The drive to industrialisation
• Close association between incomes and industrialisation
• Manufactures are (relative to agriculture) income elastic and price inelastic
• Manufacturing embodies rents – agriculture does not
• Manufacturing can be labour intensive – primary commodities are very capital intensive
The Asian Drivers upset the applecart
Share of manufacturing value added
Share of the world
Share of developing countries
1985 1998 1985 1998
East Asia China South Asia Latin America and Caribbean Sub-Saharan Africa Middle East, North Africa,
Turkey
4.11.40.86.71.01.5
13.97.01.85.20.82.4
29.210.25.9
46.97.1
10.8
57.729.37.3
21.83.49.8
China’s growth is not unique..
Growth of exports
0123456
1 6 11 16 21 26 31 36 41Years from beginning of export surge
Lo
g o
f ex
po
rt g
row
th
China (1989-2003) Japan (1960-2003) Korea (1963-2003)
GDP (constant prices)
1.5
2
2.5
3
3.5
1 6 11 16 21 26 31 36 41
Years from beginning of growth surge
Lo
g o
f G
DP
gro
wth
China (1989-2003) Japan (1960-2003)
Korea (1963-2003)
Share of Global Population
0
5
10
15
20
25
1960 1964 1968 1972 1976 1980 1984 1988 1992 1996 2000 2004
China India J apan Korea, Rep.
But its not just the Asian Drivers
Market share of five largest retail chains (2000)
0 20 40 60 80 100
Netherlands
Sweden
Austria
Denmark
Norway
Switzerland
France
Finland
Germany
Belgium
UK
Portugal
Spain
Greece
Italy
Median
%
AC Nielson, cited in Bell 2003
With what consequences?
• Growing productive capacity means heightened competition
• Growing concentration in buying power
• Manufacturing caught between a rock and a hard place
World Manufacturing Export Price, 1986-2000
-10
-5
0
5
10
15
20
25
Ann
ual p
rice
chan
ge (%
)
IMF, World Economic Outlook Database
EU Imports from China
1st Q 2005/1st Q 2004 China Market Share in EU-25 Imports
Volumes % Price % 1 Q 2004 % 1 Q 2005 %
T-shirts 164 -26 7 17
Pullovers 534 -47 6 38
Men’s trousers 413 -16 6 35
Blouses 186 -24 6 22
Women’s coats 184 -18 6 10
Bras 139 -15 30 49
Socks and pantyhose
63 -22 30 54
Linen and ramie yarns
51 1 27 45
Linen fabrics 257 1 10 45Source: Euratex data as reported by Nathan Associates
Caught between a rock and a hard place
0
10
20
30
40
50
60
70L
ow
in
co
me
Ch
ina
Lo
we
r-m
idd
le
Up
pe
r-m
idd
le
Hig
h-i
nc
om
e
Lo
w i
nc
om
e
Ch
ina
Lo
we
r-m
idd
le i
nc
om
e
Up
pe
r-m
idd
le-i
nc
om
e
Hig
h-i
nc
om
e
Lo
w i
nc
om
e
Ch
ina
Lo
we
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idd
le i
nc
om
e
Up
pe
r-m
idd
le-i
nc
om
e
Hig
h i
nc
om
e
Lo
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nc
om
e
Ch
ina
Lo
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om
e
Resource basedmanufactures
Low technology Medium technology High technology
% o
f s
ec
tors
Percentage of sectors with negative price trends, 1988/9-2000/2001 by technological intensity and country-grouping
Employment in China’s formal sector manufacturing
Employment (‘000)Index of employment
(1995=100)
OECD 14* China India Brazil
OECD 14* China India Brazil
1995 85,623 98,030 6,500 9,438 100 100 100 100
1997 83,003 96,120 6,900 8,381 97 98 106 89
1999 81,266 81,090 6,700 7,420 95 83 103 79
2001 80,535 80,830 6,400 7,565 94 82 98 80
2002 78,761 83,080 6,500 7,556 92 85 100 80Source: Calculated from Carson, 2003
The picture is not so bleak for commodity producers
Actual and projected global share of China’s consumption of base metals
0%
5%
10%
15%
20%
25%
30%
1950 1953 1956 1959 1962 1965 1968 1971 1974 1977 1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010
% o
f to
tal
Copper Alum inium Zinc Nickel Steel Iron Ore (Trade)
Source: Macquarie Mining
China's Share of Global Demand
8%
10%
12%
14%
16%
18%
20%
22%
24%
26%
28%
1995
1996
1997
1998
1999
2000
2001
2002
2003
% o
f to
tal W
orl
d
SteelNickelCopperAluminium
China's Share of Total World Growth
95%99% 100%
76%
68%73%
67%
51%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Steel Nickel Copper Aluminium
% s
har
e
2000-2003
1995-2003
Source: Macquarie Mining
Enormous demand potentialKgs/capita GDP per capita
($US1995)Aluminium Copper Steel
Japan19551975
0.610.5
1.27.4
80599
5,55921,869
Korea19751995
1.015.0
1.38.1
84827
2,89110,841
China1990199920022003
0.72.33.34.0
0.61.22.02.4
59108160200
342756933
1,103
All this has implications for the producers of manufactures
And for the producers of commodities?
• Commodities price boom:– Dutch disease
• Zambian copper, tobacco, maize and cotton
• Armed conflict• Corruption• Managing surpluses:
– LA and ownership• Chile and copper• Venezuela and oil
And for agriculture?
Appropriating rents in the coffee sector
• There are more varieties of coffee and with a greater variety of taste than they are of wine
• “Blue mountain coffee prices are not subject to the factors of supply and demand that affects other commodities. The price is fixed” (2001)
• Illy sells at $10/230gm compared to $1.50, and farmers get 30% more.
Escorial wool
• Maghreb sheep taken to New Zealand in 1828.
• Numbers are now severely limited by NZ farmers
• Resources put into marketing in 1990s
• “We have created ‘clean air’ between the generic ‘commoditised’ Merino wool”
• Escorial scarf retails at more than €600
And for income distribution
• Manufacturing is labour intensive
• Commodities are:– Capital intensive– Generally foreign owned– Kleptocracy– Armed conflict
Innovation is key to sustainable incomes
Avrge rate of profit
1st round innovation
2nd round innovation
3rd round innovation
Innovation rent
THE SCHUMPETERIAN INNOVATION SCHEMA
Rate of profit
Time
Endogenous rents
• Technology rents
• Human Resource rents
• Organisational rents
• Relational rents
• Design rents
• Marketing rents
Exogenous rents
• Resource rents
• Policy rents
• Infrastructural rents
• Financial intermediation rents
ProductionDesign
Value chains are increasingly global and dynamic
Competitive pressures
Marketing
Services Services
Competitive pressures
Our existing architecture is limited
• Competences and dynamic capabilities– But mostly within the firm
• Types of upgrading– Process upgrading
– Product upgrading
An upgraded architecture on innovation
• Competences and dynamic capabilities are now a value chain challenge
• Wider perspective on upgrading– Process upgrading– Product upgrading– Functional upgrading– Chain upgrading
Implications for Development Strategies
Sectoral choice
• Sectoral choice?– Agriculture– Commodities– Manufactures– Services
• Or positioning within sectors?– Back to Schumpeter and rents
Policies to facilitate innovation
– Macro policies
– Cross sectoral policies and market failure
– Sectoral and regional targeting
Income inequality and marginalisation
• Meeting the challenge in production
• Funding the challenge through production
• Don’t take politics out of this