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Sudan Country Economic Memorandum:
Realizing the Potential For Diversified
Development
Public Launch
Khartoum
25 September 2016
Michael Geiger
Outline
2
What is structural transformation and where does Sudan
stand?
What kind of growth and diversification methodology could
be applied to Sudan
Key findings
Key recommendations
What is structural transformation and
where does Sudan stand?
3
4
What is structural change? A shift of economic activities and
employment from low to high productivity activities
Agriculture
Manufacturing
Agriculture
Services
Within sectors
Firm Firm
Informal Formal
Pro
ce
ss
Traditional Non-Traditional
East Asian Model
(Korea, China,
Hong Kong,
Vietnam)
India, Bangladesh,
Mozambique,
Rwanda
Most countries
Exam
ple
Low productivity
activities
Highproductivity
activities
Structural Change
Go
al
Source: Own visualization, based on McMillian et al. (2014): Globalization, Structural Change, and Productivity Growth, with and Update on Africa;
Page (2012) - Can Africa Industrialize?; Zeufack et al. (2015): Structural Transformation and Productivity Growth in Africa: Uganda in the 2000s;
Ghani & O’Connell (2014): Can Service Be a Growth Escalator in Low Income Countries?
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010 2013
Agriculture Industry Manufacturing Services
5
But Sudan still stands at the beginning of structural transform-
ation
Sudan’s sectoral decomposition of GDP, 1980-2013
Source: World Bank, World Development Indicators (2015).
Services
Agriculture
Manufacturing
Industry, incl.
extractives
50%
8%
14%
28%
53%
7%
7%
33%
6
At the same time others have advanced in structural
transformation
Selected countries’ sectoral decomposition of GDP, 1980-2013
Source: World Bank, World Development Indicators (2015).
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Sudan (1990) Sudan (2013) Kenya (1980) Kenya (2013) Vietnam (1980)Vietnam (2013)
Agriculture Industry Manufacturing Services
7
Growth decomposition of production factors in Sudan, 1989-2012
-10.0
-5.0
0.0
5.0
10.0
15.0
1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011
Gro
wth
ra
te
(pe
rce
nta
ge
po
ints
)
Total Factor Productivity Human Capital per Labor Labor
Capital Stock Real GDP Growth
1. Labor and TFP Growth2. Physical capital dominates
– labor/TFP very low
3. Negative
TFP growthAvg. growth 5.1% Avg. growth 6.7% Avg. growth
1.5%
The long-term historical growth performance underscores the
lack of lasting structural change in Sudan
Source: World Bank, World Development Indicators (2014). Note: TFP is a measure of total output growth relative to the growth in traditionally
measured inputs of labor and capital (in other words: Output = TFP + Capital input + Labor input).
What kind of growth and diversification
methodology could be applied to Sudan?
8
9
There are two approaches to diversify an economy: direct and
indirectG
oal
Structural Transformation / Diversification
Ap
pro
ach ‘Direct Approach’ ‘Indirect Approach’
Interventions in economic sectorsFoundation for any economic activity to
flourish
Exam
ple
s
Export promotion Tax holidays
Fertilizer subsidiesTargeted import
substitution
Macroeconomic
policies
Human capital and
infrastructure
Business enabling
environment
Source: Own visualization, based on World Bank (2014): Diversified Development.
10
Agriculture will be the key sector in the economy until 2030 and
any diversification effort needs to recognize the sector
0
50
100
150
200
250
300
Agriculture Gold Petroleum Manufacturing
Other industry Private Services Public Services
Agriculture
Gold
Petroleum
CEM Simulation: Aggregated sector GDP (Index; 2012=100)
Source: World Bank staff own calculations using the MAMS Sudan Model.
46.5
38.4
29.4
34.2
37.4
35.8
31.4
20
22
24
26
28
30
32
34
36
38
40
42
44
46
48
2012 Base Crop+ TofT+ Aid+ Debt- Normal
11
Development of the agriculture sector is also particularly poverty
reducing
Simulating an
increase in
agriculture
productivity by
2 percent every
year
CEM Simulation: Poverty Rate in 2012 and Various Scenarios
Source: World Bank staff own calculations using the MAMS Sudan Model.
Notes: TofT+ simulates increased terms of trade; Aid+ simulates additional inflows of aid; Debt- simulates debt relief; Normal simulates the
combined effects of normalization of relations with the rest of the world.
Key Findings
12
Key finding 1:
No lasting structural change
14
Manufacturing provides an almost negligible number of jobs in
Sudan
Employment by sector, 2009
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
3,000,000
3,500,000
Rural men Urban men Rural women Urban women
Agriculture Other industry Manufacturing Services
Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).
Key finding 2:
High and volatile inflation, linked to
budget financing
16
Sudan has a history of high, volatile inflation, which further
increased after 2011
Average annual inflation in Sudan, 1999-2014
-10%
0%
10%
20%
30%
40%
50%
1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Source: World Bank staff own compilation, based on data from Central Bank of Sudan, and IMF..
Food inflation
Core inflation
Overall inflationAverage overall inflation (1980-2012)
Key finding 3:
Weak resource revenue
management, budget deficits and
low savings
18
Oil revenues contributed more than 50 per-cent to total fiscal
revenues at its peak during the oil years, but this changed in 2011
Fiscal revenues and composition (SDG mn)
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
2008 2009 2010 2011 2012 2013
Tax revenues Oil revenues Other non-tax, non-oil revenues
Source: World Bank staff own compilation, based on data from Central Bank of Sudan; IMF; and World Bank WDI.
19
Sudan’s budget has been in deficit since 1991 and only
occasionally balanced during the oil-driven investment boom
Overall budget deficit, 1991-2013
-25
-20
-15
-10
-5
0
5
1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013
Pe
rce
nt o
f G
DP
Budget surplus
Budget deficit
Source: World Bank (2015 forthcoming): Sudan Country Economic Memorandum.
20
Financing the deficit is one of the key challenges now, but
options for foreign financing are limited given Sudan’s debt crisis
Domestic savings matter for Sudan’s economic transition and savings are low
-40
-30
-20
-10
0
10
20
30
199119941997 20002003 20062009 2012-40
-30
-20
-10
0
10
20
30
1991 1994 1997 2000 2003 2006 2009 2012
Gross publicsavings
Gross privatesavings
National Savings in Sudan, 1991-2014 Private and Public Savings, 1991-2014
Source: World Bank staff own compilation, based on data from Central Bank of Sudan; IMF; and World Bank WDI.
Key finding 4:
Long history of overvalued real
exchange rate
22
Sudan’s Real Exchange Rate (RER) has been greatly overvalued
over most of the past 40 years
Sudan’s RER misalignment, 1970-2011
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 2003 2006 2009
Misalignment
Undervaluation above red line
Overvaluation below
red line
Source: World Bank staff own calculations, based on data from PENN World Tables.
Note: The real exchange rate is the nominal exchange rate adjusted for the effects of inflation. The RER measures real purchasing power of the
Sudanese Pound; this equals international competitiveness of a country’s exports.
NB: Across all countries
and time, each 10
percent RER
undervaluation
increases exports by 0.6
and GDP growth by 0.9
percentage points
23
RER changes have a particularly large effect on agriculture
exports in Sudan
CEM Simulation: Real exchange rate and export quantity (index base = 100)
100
110
120
130
140
150
160
100 105 110 115 120 125
Exp
ort
qu
an
tity
in
de
x
RER index (SDG/Foreign currency)
Agriculture Mining Manufacturing Private services Total
Source: World Bank staff own calculations using the MAMS Sudan Model.
24
Undervaluation is a distinct feature of export success in other
countries: China
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
1953
1955
1957
1959
1961
1963
1965
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
Undervaluation Export growth
Undervaluation above red line
Overvaluation below red line
Undervaluation and export growth, China
Misalignment
Source: World Bank staff own calculations, based on data from PENN World Tables.
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
1951
1953
1955
1957
1959
1961
1963
1965
1967
1969
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
Undervaluation Export growth
25
Undervaluation also observable in India since the mid-1990s
Undervaluation above red line
Overvaluation below red line
Undervaluation and export growth, India
Misalignment
Source: World Bank staff own calculations, based on data from PENN World Tables.
Key finding 5:
Extremely low productivity in
agriculture
27
The story of agriculture in Sudan is by and large a story of low
productivity: wheat yields are indicative of the problem
Source: World Bank staff own calculations, based on data from Central Bank of Sudan; the Ministry of Agriculture and Irrigation; and selected other
country authorities.
Note: Pavlovda and Kzylorda are places in Kazakhstan where climate is very extreme.
Sudan’s wheat yields in perspective (kg/feddan), selected countries
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
2012 2013
28
Low fertilizer usage is a key issue behind low productivity; centr-
alized marketing and choice of grains are additional factors
Source: World Bank (2015): Sudan Country Economic Memorandum.
Some facts about low fertilizer usage
• In 2009 the average fertilizer use per hectare of cropland was 7.3 kg.
• Ethiopia, Sudan's poorer neighbor, used 17 kg.
• Sudan used as much as 80 kg/ha in the mid-1970s, and 70 kg/ha in the 1980s.
• Reasons for low usage today are unclear.
• But it seems that the decline in agriculture is associated to fertilizer usage.
Additional factors
• Strong policy push for wheat and sugar production, which are foreign crops to
Sudan. Seasonality and water availability impair productivity.
• Centralized marketing of agriculture products through state agencies leads to
low prices for farmers and low productivity. Gum Arabic and Cotton benefitted
much from relaxations since 2009.
Key finding 6:
Very concentrated export markets
30
Sudan’s export basket is very concentrated – especially for it has
coastal access and proximity to multiple large markets
Herfindahl-Hirschman Index at the products level, Sudan and selected countries
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
Average 2000-2006 Average2007-2012
Egypt, Arab Rep. Ethiopia Ghana Indonesia Kenya Morocco Mongolia Uganda Sudan
Source: World Bank staff own calculations, based on data from UN COMTRADE.
Note: The HH index is calculated as the sum of the squared market shares for all products.
Ma
xim
um
co
nce
ntr
ation
Ma
xim
um
div
ers
ific
atio
n
31
Export concentration is much lower when looking at non-oil
exports, but has increased in 2012 with the emergence of gold
Export concentration in terms of products, excluding oil
5%8%
51%
8%10%
54%
0
20
40
60
80
100
120
140
160
0%
10%
20%
30%
40%
50%
60%
2006 2011 2012
Share of Top 3 Products Share of Top 5 Products Number of Products
Source: World Bank staff own calculations, based on data from UN COMTRADE.
32
Yet, Sudan’s export concentration is also evident in the high
share of its top destinations in overall exports
Sudan’s export concentration in terms of destination markets
90%
88%
94%93%
85%
86%
87%
88%
89%
90%
91%
92%
93%
94%
2006 2011
Share of Top 3 Markets Share of Top 5 Markets
Source: World Bank staff own calculations, based on data from UN COMTRADE.
Main Recommendations
33
Main recommendation #1:
Remove exchange restrictions to
unify official and black-market rate
35
The official and black-market rates show an increasing spread
confirming the overvaluation of the Sudanese pound
Sudan's official and market exchange rate (SDG/USD), 2009-2014
0
1
2
3
4
5
6
7
8
9
10
Ja
n-0
9
Ap
r-0
9
Ju
l-0
9
Oct-
09
Ja
n-1
0
Ap
r-1
0
Ju
l-1
0
Oct-
10
Ja
n-1
1
Ap
r-1
1
Ju
l-1
1
Oct-
11
Ja
n-1
2
Ap
r-1
2
Ju
l-1
2
Oct-
12
Ja
n-1
3
Ap
r-1
3
Ju
l-1
3
Oct-
13
Ja
n-1
4
Ap
r-1
4
Ju
l-1
4
Oct-
14
Official Exchange Rate Market Exchange Rate
Source: World Bank staff own compilation, based on data from Central Bank of Sudan.
Principle Considerations
36
Big Bang Gradual
Definition:
Large, one-off devaluation overnight.
Definition:
Incremental devaluations over a period.
Economic disruptions: Sudden change
in relative prices, cheaper exports and
more expensive imports.
Value of foreign debt: Sharp
devaluation to raise value of foreign
currency denominated debt in domestic
currency.
Inflation: Sudden changes in import
prices to lead to spikes in inflation.
Ch
all
en
ge
s
If further devaluation is expected:
Possible ‘hoarding’ of foreign exchange
thereby creating a black market and
worsening foreign exchange shortages.
Speculative outflows could increase
devaluation pressure.
If perceived as a one-off event, no further
expectation of devaluation.
Ad
va
nta
ge
Incremental changes in relative prices:
Important if high levels of external debt;
and/or
Large reliance on imports
How to unify the exchange rates?
Big Bang and Gradual devaluations
Summary of Empirical findings
37
Big Bang Gradual
Gradual devaluation preferred as it is associated with significant
output increases and improvements in the trade balance
GDP
Investment
Consumption
Trade balance
Manufacturing
Logistics
Central bank ind.
Poor vs. rich
country
Small vs. big
country
Negative
Negative
Negative Negative
POSITIVE POSITIVE (less)
No impact
No impact
No impact
Poor countries do better
Small countries do better
VariableEffect
t0 t+1 t+2
GDP
Investment
Consumption
Trade balance
Manufacturing
Logistics
Central bank ind.
Poor vs. rich
country
Small vs. big
country
No impact POSITIVE
No impact
No impact
POSITIVE
No impact
No impact
No impact
Poor/rich does not matter
Small/big does not matter
VariableEffect
t0 t+1 t+2
Data and definitions:
Country level panel data for 221 Countries and 233 Episodes between 1960 and 2015.
Big Bang: More than 20% one-off nominal devaluation --- Gradual: Between 5 and 20% devaluation for at least 3 consecutive years.
Poor country: 98 --- Rich country: 123
Small country: 115 --- Rich country: 106
10 most successful gradual devaluations with initial (first-year) devaluation
Most Successful gradual devaluations started with a larger initial
devaluation in year one followed by several smaller ones
Year Country
First-year
initial nominal
devaluation
Initial RER
overvaluation
Cumulative
devaluation
1981 Bhutan 9.6% 61.1% 45.3%
2009 Sierra Leone 12.7% 29.2% 37.8%
1996 Cabo Verde 7.2% 70.5% 44.3%
1971 Korea 13.0% -17.3% 36.0%
1988 Bhutan 7.1% 11.5% 45.3%
1989 Solomon Islands 9.6% 15.8% 42.6%
1987 Chile 12.9% 14.7% 59.3%
1980 Mauritius 19.7% 36.3% 89.5%
1981 Norway 15.0% 4.2% 55.4%
1982 Nepal 7.1% 37.3% 54.3%
Average 11.4% 26.3% 49.7%Data and definitions:
Country level panel data for 221 Countries and 233 Episodes between 1960 and 2015.
Cumulative devaluation for gradual devaluation period; length varies across countries
Keep core inflation low through lower budget deficits and less reliance on
domestic deficit finance
Real exchange rate will continue to appreciate as long as inflation is being
driven by deficit financing and excess liquidity
More resilient investment financing through higher domestic savings
Facilitate domestic savings through low inflation and positive real interest
rates
Limit use of financial sector interventions for sector promotion
Development banks/agriculture lending. Instead, increase access to finance
for all sectors and businesses.
39
Exchange rate adjustment needs to be accompanied by
complementary macro-policies to ensure success
Source: World Bank (2015): Sudan Country Economic Memorandum.
Main recommendation 2:
Increase agriculture productivity
through a set of key (policy) changes
Agriculture policy changes
• Rethink centralized marketing of agriculture products and learn from gum
Arabic and cotton experience
• Gradually decrease subsidy on domestic wheat production (capitalizing on
the recent reform to abolish the preferential wheat exchange rate)
• Diversify wheat imports to lower the wheat import bill (next slide)
Agriculture investments
• Promote fertilizer usage
• Establish modern state-level grain storage
• Prepare for rehabilitation of the Gezira scheme
Pilot the move from agriculture to agro-processing
• Pilot gum Arabic spray-drying in combination with increasing the value of
raw material
• Apply lessons from pilot for other successful raw exports such as sesame,
cotton, and livestock.
41
Increase agriculture productivity through a set of key (policy)
changes
Source: World Bank (2015): Sudan Country Economic Memorandum.
42
Sudan’s wheat import price is relatively high and there is scope to
lower the wheat import bill by rationalizing the sources
Sudan’s wheat import price in perspective (US$/ton)
Source: World Bank (2015): Sudan Country Economic Memorandum.
372
414397
445
0
50
100
150
200
250
300
350
400
450
500
2010/2011 2011/2012 2012/2013 2013/2014
Sudan Import Price All US Grades US (Kansas City) US (Texas Gulf) Argentina
Agriculture policy changes
• Rethink centralized marketing of agriculture products and learn from gum
Arabic and cotton experience
• Gradually decrease subsidy on domestic wheat production (capitalizing on
the recent reform to abolish the preferential wheat exchange rate)
• Diversify wheat imports to lower the wheat import bill (next slide)
Agriculture investments
• Promote fertilizer usage
• Establish modern state-level grain storage
• Prepare for rehabilitation of the Gezira scheme
Pilot the move from agriculture to agro-processing
• Pilot gum Arabic spray-drying in combination with increasing the value of
raw material
• Apply lessons from pilot for other successful raw exports such as sesame,
cotton, and livestock (next slide)
43
Increase agriculture productivity through a set of key (policy)
changes (ctd).
Source: World Bank (2015): Sudan Country Economic Memorandum.
44
Focusing on Sudanese exports with larger world market shares
could be a good way to pilot the move towards agro-processing
Sudanese products with larger world market shares, 2013
-5%
0%
5%
10%
15%
20%
25%
30%
35%
40%Sheep: 35%
Gum Arabic:
30%
Sheep
meat:
4%
Sesame
seeds: 15%
Waste and scrap of primary cells: 4%
Source: World Bank staff own calculations, based on data from UN COMTRADE.
Main recommendation 3:
Improve the management of natural
resource rents
46
Establish a more realistic medium-term outlook on oil production
Projected domestic crude oil production, bpd
-
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
Base High LowSource: Ministry of Petroleum (2013); and Wood Mackenzie (2013).
Note: The High estimate equals the Government’s estimate.
47
More broadly on natural resources, a strategic outlook is required
to efficiently utilize the remaining resource wealth
Contribution of oil and minerals to Sudan’s economy: still important, but less dominant
Source: World Bank (2015): Sudan Country Economic Memorandum.
Main recommendation 4:
Address broader business
constraints
49
Address broader business constraints to create space for
structural transformation
Regulate economic activity better: Sudan’s ranking in selected Doing Business Indicators
0 25 50 75 100 125 150 175
Ease of Doing Business
Starting a Business
Registering Property
Getting Credit
Protecting Investors
Paying Taxes
Trading Across Borders
Enforcing Contracts
DB2014 (out of 189 economies) DB2008 (out of 178 economies)
Source: World Bank Doing Business Report, 2008 and 2014.
Main recommendation 5:
Build human capital to support
structural change
51
Build human capital to support skills-intensive modern services
and reduce spatial disparities – increase education levels
Education levels by gender and location
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
7,000,000
8,000,000
9,000,000
10,000,000
Rural Men Urban Men Rural Women Urban Women
No Education At Most Primary At Most Secondary Post-Secondary
Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).
52
Labor force non-participation is far higher for women than men;
many educated women never enter the labor market
Employment and labor force participation by cohort
Source: World Bank staff own calculations, based on data from National Benchmark Household Survey (2009).
Rural men Urban men
Rural women Urban women
Em
plo
yed
Em
plo
ye
d
No
n-
pa
rtic
ipati
on
No
n-
part
icip
ati
on
Summary of findings and
recommendations
53
54
Six key findings lead to five interlinked recommendations to
support diversification in Sudan
54
Summary of key findings and main recommendations
1) No lasting structural change
2) High and volatile inflation
3) Weak resource revenue
management, budget deficits and
low savings
4) Long history of overvalued real
exchange rate
5) Extremely low productivity in
agriculture
6) Highly concentrated export
markets
Findings
Remove exchange restrictions to
unify official and black-market rate
and enhance policy consistency
Increase agriculture productivity
through a set of key (policy)
changes
Improve the management of natural
resource rents
Address broader business
environment constraints
Build human capital to support
structural change
Recommendations