Ukraine Crisis Webinar Series - Session XV

AKADEMIYA2063
AKADEMIYA2063AKADEMIYA2063
Leysa Maty SALL
Economist
Centre d’Etudes Prospectives et
d’Informations Internationales (CEPII)
Exposure and Vulnerability to Global Wheat and Vegetable
Oils Trade and Market Disruptions: Case Study of Malawi
Introduction
• The Russia-Ukraine conflict raises numerous concerns about global trade: transmission through various channels.
-30
-20
-10
0
10
20
30
40
50
60
70
80
90
100
110
120
130
140
150
160
Coal,
Australia
Crude
oil,
Brent
Natural
gas,
Europe
Natural
gas,
U.S.
Liquefied
natural
gas,
Japan
Cocoa
Coffee,
Arabica
Coffee,
Robusta
Tea,
average
Coconut
oil
Groundnut
oil
Palm
oil
Soybean
meal
Soybean
oil
Soybeans
Barley
Maize
Rice,
Thailand,
5%
Wheat,
U.S.,
HRW
Bananas,
U.S.
Meat,
beef
Meat,
chicken
Oranges
Shrimp
Sugar,
World
Logs,
Africa
Logs,
S.E.
Asia
Sawnwood,
S.E.
Asia
Cotton
A
Index
Rubber,
RSS3
Tobacco
DAP
Phosphate
rock
Potassium
chloride
TSP
Urea,
E.
Europe
Aluminum
Copper
Iron
ore
Lead
Nickel
Tin
Zinc
Gold
Silver
Platinum
Before Ukraine Crisis After the onset of Ukraine crisis
Introduction
• Wheat occupies a relatively small place in the agricultural sector of African countries, as of 2019, almost 60% of African
countries (30 countries) imported wheat products directly from Ukraine and Russia.
• Globally, for African countries dependency on Russia and Ukraine Vegetable oils is much lower than for wheat (It reaches
5% for only one country, Sudan)
• For Malawi
Import dependency from Russia and Ukraine (%)* Import penetration ratio (%)**
Wheat 46.60 100.10
Vegetable oils 0.08 64.05
• Size within the economy will determine the changes at a macroeconomic level, and the related effects on income,
inflation, and food security.
* Source: AATM (2022); ** FAOSTAT(2022)
Outline
1. Exposure and vulnerability to trade and market disruptions
2. Analytical framework and simulation scenarios
3. Effects on households' incomes, food inflation and food consumption
4. Conclusion
1.Exposure and vulnerability
1. Exposure and Vulnerability: wheat
0
100
200
300
400
500
600
01/07/2005
06/17/2005
11/25/2005
05/05/2006
10/13/2006
03/23/2007
08/31/2007
02/08/2008
07/18/2008
12/26/2008
06/05/2009
11/13/2009
04/23/2010
10/01/2010
03/11/2011
08/19/2011
01/27/2012
07/06/2012
12/14/2012
05/24/2013
11/01/2013
04/11/2014
09/19/2014
02/27/2015
08/07/2015
01/15/2016
06/24/2016
12/02/2016
05/12/2017
10/20/2017
03/30/2018
09/07/2018
02/15/2019
07/26/2019
01/03/2020
06/12/2020
11/20/2020
04/30/2021
10/08/2021
03/18/2022
08/26/2022
INTERNATIONAL PRICES, Export, US (Gulf), Wheat (US No, 2, Hard Red Winter), US Dollar/tonne
Commodity Code: CMM100108
Source: Food and Agriculture Organization [FAO], 2022, Food Monitoring Price Analysis tool.
Weekly wheat export prices, US market, US Dollar/tonne
 The prices of wheat and corn increased by
more than 40% between February and
May 2022 .
 On May 20, 2022, the price reached an all-
time high of US $560 per metric ton (India
imposed an embargo on wheat exports in
May )
 Since May 2022, average monthly prices
decreased from US $520 to around US
$380 per ton on August (In the third
quarter, commercial exports from Ukraine’s
Black Sea ports have resumed).
1.Exposure and Vulnerability:
Source: FAOSTAT bilateral trade data, 2022.
Malawi main trade partners on wheat
I
n
d
i
r
e
c
t
E
x
p
o
s
u
r
e
C
O
N
T
A
G
I
O
N
E
F
F
E
C
T
S
Import partners
Export values (million USD)
2019-2020 Share
Argentina 1.5 3%
Canada 10.4 22%
Germany 0.6 1%
India 0.5 1%
Latvia 0.4 1%
Lithuania 2.7 6%
Morocco 0.0 0%
Mozambique 0.8 2%
Poland 3.2 7%
Russian Federation 18.2 39%
South Africa 0.2 0%
Ukraine 2.9 6%
United Arab
Emirates 4.7 10%
United Republic of
Tanzania 0.0 0%
Zambia 0.0 0%
Grand Total 46.3 100%
Export partners
Export values (million USD)
2019-2020 Share
Botswana 0.006 1%
Mauritius 0.072 9%
South Africa 0.468 58%
Tanzania 0 0%
Zimbabwe 0.264 33%
Total 0.81 100%
Source: AATM database, 2022.
Main partners: on vegetable oils
Export partners
Export values
(million USD) 2019-
2020 Share
Africa 0.19 91%
Botswana 0.03 12%
Mozambique 0.02 11%
Tanzania 0.01 4%
Zambia 0.11 51%
Zimbabwe 0.03 13%
Outside Africa 0.02 9%
Georgia 0.02 9%
Total 0.21 100%
Import partners
Import values (million
USD) 2019-2020 Share
Africa 24.01 15%
South Africa 12.66 8%
Kenya 9.99 6%
Mauritius 0.51 0%
Egypt 0.40 0%
Zambia 0.35 0%
Mozambique 0.10 0%
Zimbabwe 0.01 0%
Outside Africa 135.92 85%
Malaysia 98.29 61%
Argentina 31.47 20%
Indonesia 3.89 2%
Thailand 0.57 0%
USA 0.48 0%
Russian Federation 0.37 0%
Singapore 0.36 0%
Italy 0.18 0%
China 0.13 0%
India 0.08 0%
Ukraine 0.05 0%
United Arab Emirates 0.03 0%
Spain 0.02 0%
Lebanon 0.01 0%
Portugal 0.00 0%
Germany 0.00 0%
Belgium 0.00 0%
Total 159.93 100%
1.Exposure and Vulnerability:
I
n
d
i
r
e
c
t
E
x
p
o
s
u
r
e
C
O
N
T
A
G
I
O
N
E
F
F
E
C
T
S
2. Analytical Framework and
simulation scenarios
2. Analytical framework
• Simulation models (Akademiya2063/ReSAKSS Toolbox)
 Single-Country CGE Models
• World Development Indicators database (World Bank)
 Macroeconomic data
• Statistics on international trade (United Nations)
 Import and export data
• Primary commodity price database (World Bank)
 Monthly price estimates for 46 primary commodities
 Annual price predictions (CMO released in April and
October)
Update the
Simulation
Models
Build the
Price
Scenario
Simulation
Tools
2. Analytical framework
“Baseline” scenario: no major changes in
the economies’ trajectories in the absence
of the crisis for the period 2022-2024.
Price forecasts for the year 2021, 2022, 2023
and 2024 in October 2021 (before the crisis)
World Bank’s commodity price estimates before and after the start of the crisis are
compared,
“Ukraine” scenario: Disruptions from the
changes in wheat commodity markets
after the during the crisis for the period
2022-2024.
Price forecasts for the year 2021, 2022, 2023
and 2024 in April 2022 (After the crisis)
2. Simulation scenarios: Wheat
Changes in International Price of Wheat, US HRW*, Percentage Annual Changes
Source: World Bank commodity markets outlook. Retrieved in April 2022.
Note: World Bank forecasts released in October 2021 and April 2022 (in percent).
-2.0 -2.0 -2.6
42.9
-15.6
-2.6
2022 2023 2024
October 2021 Forecasts (Baseline Scenario) April 2022 Forecasts (Ukraine Scenario)
2. Simulation scenarios: Vegetable oils
Source: World Bank commodity markets outlook. Retrieved in April 2022.
Note: World Bank forecasts released in October 2021 and April 2022 (in percent).
2 1 1
34
-14
-1
-2 -2
0
46
-15
-2
4
-5
1
30
-22
0
2022 2023 2024 2022 2023 2024
October 2021 Forecast April 2022 Forecast
Coconut oil Palm oil Soybean oil
Global oilseed prices projected to rise steeply in 2022, at the onset of the Ukraine crisis
Percentage annual variation in global vegetable oils prices
3.Effects on households' incomes,
food inflation and food consumption
3. Effects of Rising Wheat Prices on Household Incomes
2022 2023 2024
Rural FQ1 -0.450 -0.307 -0.288
Rural FQ2 -0.392 -0.270 -0.255
Rural FQ3 -0.375 -0.261 -0.248
Rural FQ4 -0.244 -0.171 -0.165
Rural FQ5 -0.279 -0.190 -0.180
Rural NFQ1 -0.051 -0.030 -0.032
Rural NFQ2 -0.058 -0.034 -0.035
Rural NFQ3 -0.103 -0.060 -0.054
Rural NFQ4 -0.210 -0.121 -0.104
Rural NFQ5 -0.663 -0.263 -0.109
Urban Q1 -0.329 -0.227 -0.219
Urban Q2 -0.253 -0.180 -0.177
Urban Q3 -0.894 -0.576 -0.524
Urban Q4 -0.276 -0.186 -0.181
Urban Q5 -0.058 -0.046 -0.064
Rural -0.348 -0.219 -0.192
Urban -0.096 -0.070 -0.085
All -0.228 -0.150 -0.143
 Decrease in incomes across all household categories
(equivalent to a tax on incomes)
 Decrease in income is more pronounced among poor urban
and rural farm households, while rural non-farm households
experience smaller declines in income.
Households Income, Percentage Changes Ukraine vs. Baseline (%)
Source: Data are based on results from authors’ simulations. Retrieved in April 2022.
3. Global Wheat Price Increases and Food Price Inflation
2022 2023 2024
Rural FQ1 0.574 0.382 0.347
Rural FQ2 0.304 0.209 0.192
Rural FQ3 0.130 0.098 0.094
Rural FQ4 0.025 0.033 0.036
Rural FQ5 0.134 0.100 0.096
Rural NFQ1 0.729 0.477 0.430
Rural NFQ2 0.842 0.556 0.502
Rural NFQ3 0.547 0.364 0.329
Rural NFQ4 0.572 0.377 0.342
Rural NFQ5 0.383 0.259 0.238
Urban Q1 1.048 0.681 0.614
Urban Q2 0.660 0.443 0.404
Urban Q3 1.561 0.989 0.879
Urban Q4 0.460 0.306 0.279
Urban Q5 0.300 0.207 0.193
Rural 0.208 0.149 0.139
Urban 0.383 0.259 0.239
All 0.268 0.186 0.173
• Higher wheat prices have a significant impact on rising food prices
• A sharper increase in food prices is seen among low-income
households in rural areas, for both farm and non-farm households.
• Rural non-farm households are more affected than farm
households.
Food Price Index, Percentage Changes Ukraine vs. Baseline (%)
Source: Data are based on results from authors’ simulations. Retrieved in April 2022.
3. Impacts of Rising Wheat Prices on Food Consumption
2022 2023 2024
Rural FQ1 -0.800 -0.545 -0.503
Rural FQ2 -0.511 -0.356 -0.333
Rural FQ3 -0.365 -0.263 -0.251
Rural FQ4 -0.190 -0.146 -0.144
Rural FQ5 -0.276 -0.196 -0.187
Rural NFQ1 -0.659 -0.434 -0.395
Rural NFQ2 -0.811 -0.536 -0.488
Rural NFQ3 -0.528 -0.349 -0.316
Rural NFQ4 -0.555 -0.359 -0.323
Rural NFQ5 -0.653 -0.335 -0.229
Urban Q1 -1.007 -0.666 -0.608
Urban Q2 -0.722 -0.493 -0.458
Urban Q3 -1.755 -1.125 -1.007
Urban Q4 -0.436 -0.291 -0.270
Urban Q5 -0.192 -0.133 -0.132
Rural -0.390 -0.267 -0.246
Urban -0.297 -0.201 -0.193
All -0.358 -0.245 -0.228
• All categories of households experience a drop in food
consumption, particularly among low-income rural and urban
households
 differences in consumption baskets and pre-crisis purchasing
power among poor rural and urban households, identical or
lower price changes may trigger stronger food consumption
effects .
Food Consumption, Percentage Changes Ukraine vs. Baseline (%)
Source: Data are based on results from authors’ simulations. Retrieved in April 2022.
3. Effects of Rising vegetable oils Prices on Household Incomes
• Driven by the weight of the vegetable oils and oilseeds industries in a country’s agricultural sector (Malawi <1.0%)
• Income effects negligible for all household groups, urban as well as rural, except for higher income groups among
rural non-farm households
Source: Data are based on results from authors’ simulations. Retrieved in April 2022.
Households Income, Percentage Changes Ukraine vs. Baseline (%)
3.Global Vegetable oil Price Increases and Food Price Inflation
• Food inflationary pressures noticeable only in 2022
• Urban > Non-farmers > Farmers
• Top > Bottom Quintiles
Source: Data are based on results from authors’ simulations. Retrieved in April 2022.
Food Price Index, Percentage Changes Ukraine vs. Baseline (%)
3. Impacts of Rising Vegetable oil Prices on Food Consumption
Negative effects
• Food consumption effects are noticeable only in 2022
• Non-farmers > Urban > Farmers
• Top > Bottom Quintiles
Source: Data are based on results from authors’ simulations. Retrieved in April 2022.
Food Consumption, Percentage Changes Ukraine vs. Baseline (%)
4.Conclusion
4.Main findings
 Given the small size of the wheat production sector and the small weigh of vegetable oils in the
agricultural sector in Malawi, the disruptions to global trade are unlikely to have major macroeconomic
ramifications.
 Disruptions in global markets also are likely to have Negative food security outcomes for Malawi.
 Negative income effects among rural and urban households: higher among low-income urban and rural
farm households, as well as among high-income rural non-farm households
 Food price inflationary pressures tend to be more pronounced among low-income households:
4.Some policy implications
• Lower-income households need to be protected from the inflationary pressures arising
from higher global prices and the expected effects on food consumption.
• It is important to anticipate some degree of transmission to prices of local staples as
consumers gradually turn to them in the near term as substitutes for wheat products.
• The crisis could create some contagion across staple food markets
4.Conclusion
Percentage annual variation in global vegetable oils prices, Comparing October 2021, April 2022, and October 2022 Forecasts
Source: Projection by the World Bank in October 2021, April 2022, October 2022, using the commodity price database (World Bank, 2022)
Moderate increase of global vegetable oils prices for 2022
2.3 0.6 0.7
34.5
-13.6
-0.9
1.5 0.6 0.1
-2.3 -2.3
0.4
45.9
-15.2
-2.0
12.7
-17.6
0.4
3.6
-5.3
1.0
30.0
-22.2
0.0
20.9
-7.5
-0.8
2022 2023 2024 2022 2023 2024 2022 2023 2024
October 2021 Forecast April 2022 Forecast October 2022 Forecast
Coconut oil Palm oil Soybean oil
Price level October 2022
Vegetable oils Unit 2020 2021 2022f 2023f 2024f
Coconut oil $/mt 1,010 1,636 1,660 1,670 1,672
Palm oil $/mt 752 1,131 1,275 1,050 1,054
Soybean oil $/mt 838 1,385 1,675 1,550 1,537
Conclusion
Changes in International Price of Wheat, US HRW*, Percentage Annual Changes
Source: Projection by the World Bank in October 2021, April 2022, October 2022, using the commodity price database (World Bank, 2022)
-2.0 -2.0 -2.6
42.9
-15.6
-2.6
36.5
-4.7
-1.2
2022 2023 2024
October 2021 Forecasts (Baseline Scenario) April 2022 Forecasts (Ukraine Scenario) October 2022 Forecasts (Ukraine Scenario)
Price level October 2022
Unit 2020 2021 2022f 2023f 2024f
Wheat$/mt 232 315 430 410 405
THANK YOU
1 de 26

Más contenido relacionado

Similar a Ukraine Crisis Webinar Series - Session XV(20)

Economy in check due to global risksEconomy in check due to global risks
Economy in check due to global risks
Círculo de Empresarios73 vistas
World food healthy scienceWorld food healthy science
World food healthy science
Dhineshwaran572 vistas
Agricultural Transformation and Food Security in Central AsiaAgricultural Transformation and Food Security in Central Asia
Agricultural Transformation and Food Security in Central Asia
International Food Policy Research Institute - Development Strategy and Governance Division1.6K vistas
Black Sea 2023 grain crop outlook Will we see a decline in exports from the r...Black Sea 2023 grain crop outlook Will we see a decline in exports from the r...
Black Sea 2023 grain crop outlook Will we see a decline in exports from the r...
International Food Policy Research Institute (IFPRI)58 vistas
Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade
Impact of the Russian Military Invasion on Ukraine’s Agriculture and Trade
International Food Policy Research Institute (IFPRI)43 vistas
World Wheat OutlookWorld Wheat Outlook
World Wheat Outlook
U.S. Wheat Associates1.6K vistas
Markets and Outlook: Global AgricultureMarkets and Outlook: Global Agriculture
Markets and Outlook: Global Agriculture
Pascal Corbé619 vistas
Dr. Ismaël Fofana, AKADEMIYA2063, #2021ReSAKSS | Plenary Session II - Impacts...Dr. Ismaël Fofana, AKADEMIYA2063, #2021ReSAKSS | Plenary Session II - Impacts...
Dr. Ismaël Fofana, AKADEMIYA2063, #2021ReSAKSS | Plenary Session II - Impacts...
African Regional Strategic Analysis and Knowledge Support System (ReSAKSS)77 vistas

Más de AKADEMIYA2063(20)

Ukraine Crisis Webinar Series - Session XV

  • 1. Leysa Maty SALL Economist Centre d’Etudes Prospectives et d’Informations Internationales (CEPII) Exposure and Vulnerability to Global Wheat and Vegetable Oils Trade and Market Disruptions: Case Study of Malawi
  • 2. Introduction • The Russia-Ukraine conflict raises numerous concerns about global trade: transmission through various channels. -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 Coal, Australia Crude oil, Brent Natural gas, Europe Natural gas, U.S. Liquefied natural gas, Japan Cocoa Coffee, Arabica Coffee, Robusta Tea, average Coconut oil Groundnut oil Palm oil Soybean meal Soybean oil Soybeans Barley Maize Rice, Thailand, 5% Wheat, U.S., HRW Bananas, U.S. Meat, beef Meat, chicken Oranges Shrimp Sugar, World Logs, Africa Logs, S.E. Asia Sawnwood, S.E. Asia Cotton A Index Rubber, RSS3 Tobacco DAP Phosphate rock Potassium chloride TSP Urea, E. Europe Aluminum Copper Iron ore Lead Nickel Tin Zinc Gold Silver Platinum Before Ukraine Crisis After the onset of Ukraine crisis
  • 3. Introduction • Wheat occupies a relatively small place in the agricultural sector of African countries, as of 2019, almost 60% of African countries (30 countries) imported wheat products directly from Ukraine and Russia. • Globally, for African countries dependency on Russia and Ukraine Vegetable oils is much lower than for wheat (It reaches 5% for only one country, Sudan) • For Malawi Import dependency from Russia and Ukraine (%)* Import penetration ratio (%)** Wheat 46.60 100.10 Vegetable oils 0.08 64.05 • Size within the economy will determine the changes at a macroeconomic level, and the related effects on income, inflation, and food security. * Source: AATM (2022); ** FAOSTAT(2022)
  • 4. Outline 1. Exposure and vulnerability to trade and market disruptions 2. Analytical framework and simulation scenarios 3. Effects on households' incomes, food inflation and food consumption 4. Conclusion
  • 6. 1. Exposure and Vulnerability: wheat 0 100 200 300 400 500 600 01/07/2005 06/17/2005 11/25/2005 05/05/2006 10/13/2006 03/23/2007 08/31/2007 02/08/2008 07/18/2008 12/26/2008 06/05/2009 11/13/2009 04/23/2010 10/01/2010 03/11/2011 08/19/2011 01/27/2012 07/06/2012 12/14/2012 05/24/2013 11/01/2013 04/11/2014 09/19/2014 02/27/2015 08/07/2015 01/15/2016 06/24/2016 12/02/2016 05/12/2017 10/20/2017 03/30/2018 09/07/2018 02/15/2019 07/26/2019 01/03/2020 06/12/2020 11/20/2020 04/30/2021 10/08/2021 03/18/2022 08/26/2022 INTERNATIONAL PRICES, Export, US (Gulf), Wheat (US No, 2, Hard Red Winter), US Dollar/tonne Commodity Code: CMM100108 Source: Food and Agriculture Organization [FAO], 2022, Food Monitoring Price Analysis tool. Weekly wheat export prices, US market, US Dollar/tonne  The prices of wheat and corn increased by more than 40% between February and May 2022 .  On May 20, 2022, the price reached an all- time high of US $560 per metric ton (India imposed an embargo on wheat exports in May )  Since May 2022, average monthly prices decreased from US $520 to around US $380 per ton on August (In the third quarter, commercial exports from Ukraine’s Black Sea ports have resumed).
  • 7. 1.Exposure and Vulnerability: Source: FAOSTAT bilateral trade data, 2022. Malawi main trade partners on wheat I n d i r e c t E x p o s u r e C O N T A G I O N E F F E C T S Import partners Export values (million USD) 2019-2020 Share Argentina 1.5 3% Canada 10.4 22% Germany 0.6 1% India 0.5 1% Latvia 0.4 1% Lithuania 2.7 6% Morocco 0.0 0% Mozambique 0.8 2% Poland 3.2 7% Russian Federation 18.2 39% South Africa 0.2 0% Ukraine 2.9 6% United Arab Emirates 4.7 10% United Republic of Tanzania 0.0 0% Zambia 0.0 0% Grand Total 46.3 100% Export partners Export values (million USD) 2019-2020 Share Botswana 0.006 1% Mauritius 0.072 9% South Africa 0.468 58% Tanzania 0 0% Zimbabwe 0.264 33% Total 0.81 100%
  • 8. Source: AATM database, 2022. Main partners: on vegetable oils Export partners Export values (million USD) 2019- 2020 Share Africa 0.19 91% Botswana 0.03 12% Mozambique 0.02 11% Tanzania 0.01 4% Zambia 0.11 51% Zimbabwe 0.03 13% Outside Africa 0.02 9% Georgia 0.02 9% Total 0.21 100% Import partners Import values (million USD) 2019-2020 Share Africa 24.01 15% South Africa 12.66 8% Kenya 9.99 6% Mauritius 0.51 0% Egypt 0.40 0% Zambia 0.35 0% Mozambique 0.10 0% Zimbabwe 0.01 0% Outside Africa 135.92 85% Malaysia 98.29 61% Argentina 31.47 20% Indonesia 3.89 2% Thailand 0.57 0% USA 0.48 0% Russian Federation 0.37 0% Singapore 0.36 0% Italy 0.18 0% China 0.13 0% India 0.08 0% Ukraine 0.05 0% United Arab Emirates 0.03 0% Spain 0.02 0% Lebanon 0.01 0% Portugal 0.00 0% Germany 0.00 0% Belgium 0.00 0% Total 159.93 100% 1.Exposure and Vulnerability: I n d i r e c t E x p o s u r e C O N T A G I O N E F F E C T S
  • 9. 2. Analytical Framework and simulation scenarios
  • 10. 2. Analytical framework • Simulation models (Akademiya2063/ReSAKSS Toolbox)  Single-Country CGE Models • World Development Indicators database (World Bank)  Macroeconomic data • Statistics on international trade (United Nations)  Import and export data • Primary commodity price database (World Bank)  Monthly price estimates for 46 primary commodities  Annual price predictions (CMO released in April and October) Update the Simulation Models Build the Price Scenario Simulation Tools
  • 11. 2. Analytical framework “Baseline” scenario: no major changes in the economies’ trajectories in the absence of the crisis for the period 2022-2024. Price forecasts for the year 2021, 2022, 2023 and 2024 in October 2021 (before the crisis) World Bank’s commodity price estimates before and after the start of the crisis are compared, “Ukraine” scenario: Disruptions from the changes in wheat commodity markets after the during the crisis for the period 2022-2024. Price forecasts for the year 2021, 2022, 2023 and 2024 in April 2022 (After the crisis)
  • 12. 2. Simulation scenarios: Wheat Changes in International Price of Wheat, US HRW*, Percentage Annual Changes Source: World Bank commodity markets outlook. Retrieved in April 2022. Note: World Bank forecasts released in October 2021 and April 2022 (in percent). -2.0 -2.0 -2.6 42.9 -15.6 -2.6 2022 2023 2024 October 2021 Forecasts (Baseline Scenario) April 2022 Forecasts (Ukraine Scenario)
  • 13. 2. Simulation scenarios: Vegetable oils Source: World Bank commodity markets outlook. Retrieved in April 2022. Note: World Bank forecasts released in October 2021 and April 2022 (in percent). 2 1 1 34 -14 -1 -2 -2 0 46 -15 -2 4 -5 1 30 -22 0 2022 2023 2024 2022 2023 2024 October 2021 Forecast April 2022 Forecast Coconut oil Palm oil Soybean oil Global oilseed prices projected to rise steeply in 2022, at the onset of the Ukraine crisis Percentage annual variation in global vegetable oils prices
  • 14. 3.Effects on households' incomes, food inflation and food consumption
  • 15. 3. Effects of Rising Wheat Prices on Household Incomes 2022 2023 2024 Rural FQ1 -0.450 -0.307 -0.288 Rural FQ2 -0.392 -0.270 -0.255 Rural FQ3 -0.375 -0.261 -0.248 Rural FQ4 -0.244 -0.171 -0.165 Rural FQ5 -0.279 -0.190 -0.180 Rural NFQ1 -0.051 -0.030 -0.032 Rural NFQ2 -0.058 -0.034 -0.035 Rural NFQ3 -0.103 -0.060 -0.054 Rural NFQ4 -0.210 -0.121 -0.104 Rural NFQ5 -0.663 -0.263 -0.109 Urban Q1 -0.329 -0.227 -0.219 Urban Q2 -0.253 -0.180 -0.177 Urban Q3 -0.894 -0.576 -0.524 Urban Q4 -0.276 -0.186 -0.181 Urban Q5 -0.058 -0.046 -0.064 Rural -0.348 -0.219 -0.192 Urban -0.096 -0.070 -0.085 All -0.228 -0.150 -0.143  Decrease in incomes across all household categories (equivalent to a tax on incomes)  Decrease in income is more pronounced among poor urban and rural farm households, while rural non-farm households experience smaller declines in income. Households Income, Percentage Changes Ukraine vs. Baseline (%) Source: Data are based on results from authors’ simulations. Retrieved in April 2022.
  • 16. 3. Global Wheat Price Increases and Food Price Inflation 2022 2023 2024 Rural FQ1 0.574 0.382 0.347 Rural FQ2 0.304 0.209 0.192 Rural FQ3 0.130 0.098 0.094 Rural FQ4 0.025 0.033 0.036 Rural FQ5 0.134 0.100 0.096 Rural NFQ1 0.729 0.477 0.430 Rural NFQ2 0.842 0.556 0.502 Rural NFQ3 0.547 0.364 0.329 Rural NFQ4 0.572 0.377 0.342 Rural NFQ5 0.383 0.259 0.238 Urban Q1 1.048 0.681 0.614 Urban Q2 0.660 0.443 0.404 Urban Q3 1.561 0.989 0.879 Urban Q4 0.460 0.306 0.279 Urban Q5 0.300 0.207 0.193 Rural 0.208 0.149 0.139 Urban 0.383 0.259 0.239 All 0.268 0.186 0.173 • Higher wheat prices have a significant impact on rising food prices • A sharper increase in food prices is seen among low-income households in rural areas, for both farm and non-farm households. • Rural non-farm households are more affected than farm households. Food Price Index, Percentage Changes Ukraine vs. Baseline (%) Source: Data are based on results from authors’ simulations. Retrieved in April 2022.
  • 17. 3. Impacts of Rising Wheat Prices on Food Consumption 2022 2023 2024 Rural FQ1 -0.800 -0.545 -0.503 Rural FQ2 -0.511 -0.356 -0.333 Rural FQ3 -0.365 -0.263 -0.251 Rural FQ4 -0.190 -0.146 -0.144 Rural FQ5 -0.276 -0.196 -0.187 Rural NFQ1 -0.659 -0.434 -0.395 Rural NFQ2 -0.811 -0.536 -0.488 Rural NFQ3 -0.528 -0.349 -0.316 Rural NFQ4 -0.555 -0.359 -0.323 Rural NFQ5 -0.653 -0.335 -0.229 Urban Q1 -1.007 -0.666 -0.608 Urban Q2 -0.722 -0.493 -0.458 Urban Q3 -1.755 -1.125 -1.007 Urban Q4 -0.436 -0.291 -0.270 Urban Q5 -0.192 -0.133 -0.132 Rural -0.390 -0.267 -0.246 Urban -0.297 -0.201 -0.193 All -0.358 -0.245 -0.228 • All categories of households experience a drop in food consumption, particularly among low-income rural and urban households  differences in consumption baskets and pre-crisis purchasing power among poor rural and urban households, identical or lower price changes may trigger stronger food consumption effects . Food Consumption, Percentage Changes Ukraine vs. Baseline (%) Source: Data are based on results from authors’ simulations. Retrieved in April 2022.
  • 18. 3. Effects of Rising vegetable oils Prices on Household Incomes • Driven by the weight of the vegetable oils and oilseeds industries in a country’s agricultural sector (Malawi <1.0%) • Income effects negligible for all household groups, urban as well as rural, except for higher income groups among rural non-farm households Source: Data are based on results from authors’ simulations. Retrieved in April 2022. Households Income, Percentage Changes Ukraine vs. Baseline (%)
  • 19. 3.Global Vegetable oil Price Increases and Food Price Inflation • Food inflationary pressures noticeable only in 2022 • Urban > Non-farmers > Farmers • Top > Bottom Quintiles Source: Data are based on results from authors’ simulations. Retrieved in April 2022. Food Price Index, Percentage Changes Ukraine vs. Baseline (%)
  • 20. 3. Impacts of Rising Vegetable oil Prices on Food Consumption Negative effects • Food consumption effects are noticeable only in 2022 • Non-farmers > Urban > Farmers • Top > Bottom Quintiles Source: Data are based on results from authors’ simulations. Retrieved in April 2022. Food Consumption, Percentage Changes Ukraine vs. Baseline (%)
  • 22. 4.Main findings  Given the small size of the wheat production sector and the small weigh of vegetable oils in the agricultural sector in Malawi, the disruptions to global trade are unlikely to have major macroeconomic ramifications.  Disruptions in global markets also are likely to have Negative food security outcomes for Malawi.  Negative income effects among rural and urban households: higher among low-income urban and rural farm households, as well as among high-income rural non-farm households  Food price inflationary pressures tend to be more pronounced among low-income households:
  • 23. 4.Some policy implications • Lower-income households need to be protected from the inflationary pressures arising from higher global prices and the expected effects on food consumption. • It is important to anticipate some degree of transmission to prices of local staples as consumers gradually turn to them in the near term as substitutes for wheat products. • The crisis could create some contagion across staple food markets
  • 24. 4.Conclusion Percentage annual variation in global vegetable oils prices, Comparing October 2021, April 2022, and October 2022 Forecasts Source: Projection by the World Bank in October 2021, April 2022, October 2022, using the commodity price database (World Bank, 2022) Moderate increase of global vegetable oils prices for 2022 2.3 0.6 0.7 34.5 -13.6 -0.9 1.5 0.6 0.1 -2.3 -2.3 0.4 45.9 -15.2 -2.0 12.7 -17.6 0.4 3.6 -5.3 1.0 30.0 -22.2 0.0 20.9 -7.5 -0.8 2022 2023 2024 2022 2023 2024 2022 2023 2024 October 2021 Forecast April 2022 Forecast October 2022 Forecast Coconut oil Palm oil Soybean oil Price level October 2022 Vegetable oils Unit 2020 2021 2022f 2023f 2024f Coconut oil $/mt 1,010 1,636 1,660 1,670 1,672 Palm oil $/mt 752 1,131 1,275 1,050 1,054 Soybean oil $/mt 838 1,385 1,675 1,550 1,537
  • 25. Conclusion Changes in International Price of Wheat, US HRW*, Percentage Annual Changes Source: Projection by the World Bank in October 2021, April 2022, October 2022, using the commodity price database (World Bank, 2022) -2.0 -2.0 -2.6 42.9 -15.6 -2.6 36.5 -4.7 -1.2 2022 2023 2024 October 2021 Forecasts (Baseline Scenario) April 2022 Forecasts (Ukraine Scenario) October 2022 Forecasts (Ukraine Scenario) Price level October 2022 Unit 2020 2021 2022f 2023f 2024f Wheat$/mt 232 315 430 410 405

Notas del editor

  1. 40 African countries depend on imports for more than 40% of their domestic vegetable oil needs. The exposure and vulnerability of these countries therefore goes beyond a direct dependency on exports from Ukraine and Russia, particularly because countries exporting vegetable oils to Africa may buy oilseeds from the warring countries.