THE EIB COVID-19 ECONOMIC VULNERABILITY INDEX

(1)

08/2020 – EN

THE EIB COVID-19 ECONOMIC VULNERABILITY

INDEX

2020

(2)

(3)

THE EIB COVID-19 ECONOMIC VULNERABILITY

INDEX

AN ANALYSIS OF COUNTRIES OUTSIDE THE EUROPEAN UNION

2020

(4)

The EIB COVID-19 Economic Vulnerability Index – An analysis of countries outside the European Union Thematic Study

© European Investment Bank, 2020.

Authors

Emmanouil Davradakis Ricardo Santos Sanne Zwart Barbara Marchitto

This is a publication of the European Investment Bank’s Economics Department.

The mission of the EIB’s Economics Department is to provide economic analyses and studies to support the Bank in its operations and in its positioning, strategy and policy. The department, a team of 40, is led by Debora Revoltella, Director of Economics.

economics@eib.org www.eib.org/economics

The views expressed in this publication are those of the authors and do not necessarily reflect the position of the European Investment Bank.

The European Investment Bank does not endorse, accept or judge the legal status of any territories, boundaries, colours, denominations or information depicted on geographical maps included in its publications.

All questions on rights and licensing should be addressed to publications@eib.org For further information on the EIB’s activities, please consult our website, www.eib.org.

You can also contact info@eib.org.

Get our e-newsletter at www.eib.org/sign-up Published by the European Investment Bank.

Printed on FSC Paper.

pdf: QH-03-20-412-EN-N ISBN 978-92-861-4713-5 doi: 10.2867/812925

(5)

INTRODUCTION 1

THREE FACTORS CONTRIBUTING TO RESILIENCE 3

GLOBAL SUMMARY 5

THE POWER OF A DIVERSE ECONOMY 7

HEALTHCARE AND ECONOMIC SYSTEMS 9

THE EIB COVID-19 VULNERABILITY INDEX 11

ANNEX: TECHNICAL DETAILS 15

(6)

(7)

INTRODUCTION 1

INTRODUCTION

There is a lot that we do not yet know about the health effects of COVID-19. We do not know how the virus is spreading, or why it is causing a high death toll in some countries and a lower one in others. We do not know when we will find a vaccine.

What we do know that is that the virus and lockdowns are having severe impacts on the global economy.

From large manufacturers to small businesses, restaurants, bars and hair salons, even the informal economy – everyone has been hit. It is a crisis like no other.

We know that the crisis has crippled demand and supply. It is creating huge uncertainties and long-term shifts in consumer preferences and production practices. It is laying bare our vulnerabilities and creating many new challenges. It is one of the most severe blows to economic growth on record.

For a clearer understanding of these impacts, we have developed an index based on a small set of economic indicators to rate countries’ vulnerability to the crisis. The index covers countries outside the European Union and helps give us an idea of the regions that need the most help. Low-income and developing countries are often very vulnerable when a crisis strikes.

The European Investment Bank is participating actively in the global effort to help people hit the hardest by the pandemic. We are strengthening economies and healthcare systems while fighting for a smart, green recovery.

Barbara Marchitto Head, Country and Financial Sector Analysis, Economics Department, European Investment Bank

(8)

2 THE EIB COVID-19 ECONOMIC VULNERABILITY INDEX

(9)

THREE FACTORS CONTRIBUTING TO RESILIENCE 3

THREE FACTORS CONTRIBUTING TO RESILIENCE

The EIB COVID-19 Vulnerability Index examines three main factors that influence the resilience of economies to the COVID-19 shock.

1. Quality of healthcare and age of the population. Older societies and poorly functioning healthcare systems often make countries vulnerable to the health impacts of the pandemic.

2. Structure of the economy. The variables include integration into global value chains, dependence on exports such as fuels, metals and ores, revenue from tourism, and remittances, or the money people send back to their countries of origin.

3. Exposure and ability to respond to shocks. The shocks considered include the reversal of capital flows. Economies with large current account deficits not financed by foreign direct investments have to fund their remaining external financing needs through volatile capital flows, such as portfolio investment. These flows have declined sharply, particularly in developing and emerging markets. Other variables include the ability of countries to implement countercyclical fiscal policies, the strength of the banking sector and its capacity to support the recovery from the crisis.

This report outlines three categories of vulnerability: lowest, intermediate and highest. The categories are relative, meaning that the countries with the lowest vulnerability to the crisis may still suffer from a significant shock if they are badly hit by the virus. The thresholds for this index were based on the EIB Economics Department’s understanding of the underlying economic variables, and the approach is detailed in the Annex. The analysis focuses on emerging markets and developing countries outside the European Economic Area and the European Union. More details on the data used in this report and the construction of the index can be found in the Annex.

The vulnerability index does not reflect the evolving policy responses in each country or how the epidemic will unfold. Equally vulnerable countries may be impacted differently depending on the policy responses and the epidemic’s development.

The pace at which containment measures were applied varied around the world, as outlined in Figure 1.

Countries in Asia were the first to begin implementing restrictions. In mid-March 2020, countries around the world began stepping up restrictions to fight the epidemic. The regions in the European Union’s neighbourhood had, on average, the most stringent measures. These regions are made up of the Southern Neighbourhood, Eastern Neighbourhood, and Central Asia, Turkey and the Western Balkans. Measures in sub-Saharan Africa and Asia were, on average, less stringent. Variation was high within each region.

In early June, most countries started relaxing lockdown measures.

(10)

Figure 1

Stringency of government responses to COVID-19

Eastern Neighbourhood and Central Asia Sub-Saharan Africa Asia Latin America

0 10 20 30 40 50 60 70 80 90 100

01.01 2020 15.01

2020 01.02 2020 15.02

2020 01.03 2020 15.03

2020 01.04 2020 15.04

2020 01.05 2020 15.05

2020 01.06 2020 15.06

2020 01.07 2020 15.07

2020 01.08 2020 15.08

2020

Western Balkans and Turkey Southern Neighbourhood

Source: Blavatnik School of Government, Oxford University, EIB Economics Department calculations, 13 May 2020.

(11)

GLOBAL SUMMARY 5

GLOBAL SUMMARY

The index shows that the economies of low-income countries are highly vulnerable to the COVID-19 pandemic. Half of low-income countries and 25% of middle-income countries face the highest risk from COVID-19. Unsurprisingly, higher-income countries generally have better coping capacities, even when hit by an unprecedented global shock. Of the countries with the highest vulnerability to the crisis, only two – Antigua and Barbuda and the Bahamas – are high-income. Nonetheless, 56% of high-income countries face an intermediate level of risk, along with 63% of middle-income economies and half of the poorest countries.

Figure 2

COVID-19 vulnerability risks around the world

Source: EIB Economics Department. See Annex.

Sweden

Spain France

Finland

United

Kingdom Poland

Germany

Romania Italy

Portugal

Lithuania Latvia

Ireland

Hungary

Greece Czech Republic

Bulgaria Austria

Slovakia Netherlands

Estonia

Denmark

Belgium

Malta Luxembourg

Cyprus

Reunion Mayotte Saint Pierre

and Miquelon

French Guiana Martinique Guadeloupe Anguilla

Wallis and Futuna

French Polynesia

New Caledonia Croatia

Norway Iceland

Switzerland Liechtenstein

Turkey North Macedonia MontenegroKosovo Bosniaand Herzegovina

Albania Ukraine Belarus

Azerbaijan Moldova

Georgia Armenia

Russia

Algeria

Egypt Morocco

Syria Tunisia

Jordan Lebanon

Israel

Libya

Palestine

Sudan

South Africa Niger Mauritania Mali

Ethiopia Chad

Angola Nigeria

Namibia

Mozambique Zambia

Somalia

Madagascar Kenya Central

African Republic Cameroon

Botswana Uganda Guinea

Ghana

Gabon

Zimbabwe Côte

d'Ivoire

Republic of the Congo Burkina

Faso Senegal

Malawi Eritrea

Benin Sierra Togo Leone Liberia

Lesotho Guinea-Bissau

Seychelles Sao Tome

and Principe

Rwanda

Mauritius Gambia

Equatorial Guinea

Djibouti

Comoros Cape Verde

Burundi Democratic

Republic of the Congo

Tanzania Suriname

Guyana Dominican Republic

Trinidad and Tobago Saint Vincent and the Grenadines

Saint Lucia Saint Kitts and Nevis Jamaica

Haiti

Grenada Dominica Belize

Barbados Bahamas

Antigua and Barbuda

Papua New Guinea

East Timor

Vanuatu Tuvalu

Tonga

Solomon Islands

Samoa

Palau

Niue

Nauru Federated States of Micronesia

Marshall Islands

Kiribati

Fiji

Cook Islands

Brazil

Argentina Mexico

Peru Colombia

Bolivia Venezuela

Chile Paraguay Ecuador

Uruguay Nicaragua

Honduras Guatemala

Panama CostaRica El Salvador

China

Kazakhstan

India

Indonesia Mongolia

Pakistan Afghanistan Uzbekistan

Turkmenistan

Thailand Iraq

Yemen

Vietnam

Philippines

Malaysia Laos Kyrgyzstan

Tajikistan

South Korea

Nepal

Cambodia Bangladesh

Taiwan

Sri Lanka

Bhutan

Singapore Brunei

Maldives

United States of America

Greenland

Canada

Australia Saudi

Arabia Iran

Union of Myanmar

Japan Svalbard

Oman

New Zealand Western

Sahara

North Korea

UnitedArab Emirates

Wake Island Turks and Caicos

Islands

Tokelau

Spratly Islands

South Georgia and the South Sandwich Islands

San Marino

Saint Helena

Qatar

Puerto Rico

Pitcairn Island

Paracel

Islands Northern

Mariana Islands

Norfolk Island Netherlands

Antilles Montserrat

Monaco

Hawaii

Aruba

Kuwait

Heard Island

& McDonald Islands

Guam

French Southern and

Antarctic Territories Faroe

Islands

Falkland Islands

Cocos (Keeling) Islands

ChristmasIsland Cayman

Islands Virgin IslandsBritish

British Indian Ocean

Territory

Bouvet Island Bermuda

Bahrain Andorra

American Samoa

Antarctica Antarctica

Antarctica

Cuba

South Sudan Slovenia

Serbia

Eswatini Sweden

Finland

United

Germany

Portugal

Ireland

Hungary

Estonia

Denmark

Belgium

Cyprus

and Miquelon

Turkey North Macedonia Montenegro

Kosovo Bosnia

and Herzegovina

Russia

Algeria

Israel

Libya

Palestine

Sudan

Namibia

Somalia

Madagascar Kenya Central

African Republic Cameroon

Ghana

Gabon

d'Ivoire

Benin Togo Sierra Leone Liberia

and Principe

Rwanda

Djibouti

Guyana Dominican Republic

Haiti

East Timor

Tonga

Samoa

Palau

Niue

Nauru Federated States of Micronesia

Kiribati

Fiji

Cook Islands

Brazil

Chile ^Paraguay Ecuador

Panama Costa Rica El Salvador

China

Kazakhstan

India

Turkmenistan

Yemen

Vietnam

Philippines

Tajikistan

South Korea

Nepal

Taiwan

Sri Lanka

Bhutan

Maldives

Greenland

Canada

Arabia Iran

Oman

Sahara

North Korea

United Arab Emirates

Wake Island Turks and CaicosIslands

Tokelau

San Marino

Qatar

PuertoRico

Paracel

NorfolkIsland Netherlands

Monaco

Hawaii

Aruba

Kuwait

Heard Island

Guam

French Southern and Antarctic Territories Faroe

Islands

Christmas Island Cayman

Islands British

Virgin Islands

Territory

AmericanSamoa

Antarctica

Cuba

Serbia

Eswatini

Sweden

Finland

United

Germany

Portugal

Ireland

Hungary

Estonia

Denmark

Belgium

Cyprus

and Miquelon

Turkey North Macedonia MontenegroKosovo Bosnia and Herzegovina

Russia

Algeria

Israel

Libya Palestine

Sudan

Namibia

Somalia

Madagascar Kenya Central African Republic Cameroon

Ghana

Gabon

d'Ivoire

Republicof the Congo Burkina Faso Senegal

Benin Togo Sierra Leone Liberia

and Principe

Rwanda

Djibouti

Guyana DominicanRepublic

Saint Lucia Saint Kittsand Nevis Jamaica

Haiti

Papua New Guinea East Timor

Tonga

Samoa

Palau

Niue

Nauru Federated States

of Micronesia Marshall Islands

Kiribati

Fiji

Cook Islands

Brazil

Chile ^Paraguay

Ecuador

Panama Costa Rica El Salvador

China Kazakhstan

India

Turkmenistan

Yemen

Vietnam Philippines

Tajikistan

South Korea

Nepal

Taiwan

Sri Lanka

Bhutan

Maldives

Greenland

Canada

Arabia Iran

Oman

Sahara

North Korea

United Arab Emirates

Islands

Tokelau

San Marino

Qatar

Puerto Rico

PitcairnIsland

Paracel

Norfolk Island NetherlandsAntilles

Montserrat

Monaco

Hawaii

Aruba

Kuwait

Heard Island

Guam

Islands

Christmas Island

CaymanIslands British

Virgin Islands

Territory

AmericanSamoa

Antarctica

Cuba

Serbia

Eswatini

Highest Intermediate

Lowest

Sweden

Finland

United

Germany

Romania

Italy

Portugal

Ireland

Hungary

Estonia

Denmark

Belgium

Cyprus

Reunion Mayotte

Saint Pierre and Miquelon

Norway

Iceland

Turkey North

Macedonia Montenegro_Kosovo Bosnia Herzegovinaand

Albania

Ukraine Belarus

Russia

Algeria

Egypt

Morocco

Israel

Libya

Palestine

Sudan

South Africa

Niger Mauritania Mali

Ethiopia

Chad

Namibia

Somalia

Madagascar Kenya

Central African Republic Cameroon

Botswana

Uganda Guinea

Ghana

Gabon

d'Ivoire

Benin Sierra Togo

Leone Liberia

and Principe

Rwanda

Djibouti

Burundi

Democratic Republic of the Congo

Tanzania

Suriname Guyana Dominican

Republic

Trinidad Tobagoand Saint Vincent and the Grenadines

Haiti

East Timor

Tonga

Samoa

Palau

Niue

Nauru Federated States

of Micronesia

Kiribati

Fiji

Cook Islands

Brazil

Chile ^Paraguay

Ecuador

Panama Costa

Rica El Salvador

China

Kazakhstan

India

Indonesia

Mongolia

Turkmenistan

Thailand

Iraq

Yemen

Vietnam

Philippines

Tajikistan

South Korea

Nepal

Taiwan

Sri Lanka

Bhutan

Singapore

Brunei

Maldives

Greenland

Canada

Australia

Saudi Arabia

Iran

Japan

Svalbard

Oman

Sahara

North Korea

United EmiratesArab

Islands

Tokelau

San Marino

Qatar

Puerto Rico

Paracel

Norfolk Island Netherlands

Monaco

Hawaii

Aruba

Kuwait

Heard Island

Guam

Islands

Cocos (Keeling)

Islands

Christmas Island Cayman

Islands British

Virgin Islands

Territory

American Samoa

Antarctica

Cuba

Serbia

Eswatini

(12)

None of the countries in the Western Balkans or Turkey are among the most vulnerable, but Albania, Bosnia and Herzegovina and Serbia fall into the intermediate vulnerability category. In the Southern Neighbourhood, one country, Lebanon, is in the highest vulnerability group, but most of the others have intermediate vulnerability. Most of the countries in the European Union’s Eastern Neighbourhood and Central Asia (ENCA) region are in the intermediate vulnerability group, with the poorest two, Kyrgyzstan and Tajikistan, falling into the highest vulnerability category.

Outside the European Union’s immediate neighbourhood, sub-Saharan Africa, the Caribbean and the Pacific states are the most vulnerable regions. Around half of the countries in Africa, the Caribbean and the Pacific are among the most vulnerable, with almost all of the remainder falling into the intermediate vulnerability category. Latin America and Asia each have a small number of countries in the highest and lowest vulnerability groups, while most of the others exhibit intermediate vulnerability. This reflects the diversity of both regions, which are predominantly middle-income areas, but also contain both low- and high-income countries.

(13)

THE POWER OF A DIVERSE ECONOMY 7

THE POWER OF A DIVERSE ECONOMY

Heavy dependence on particular types of revenue is a strong driver of COVID-19 vulnerability. Less- diversified economies are at high risk when they are hit by a crisis such as COVID-19. The most vulnerable group to COVID-19 includes a number of countries that are dependent on oil exports or highly reliant on tourism.

The prices of most non-agricultural commodities have plummeted, with gold being the main exception, and oil-exporting countries have been hurt particularly badly. The ENCA region has the greatest proportion of countries in the highest vulnerability group in terms of commodity dependence, as shown in Figure 3, but there are significant numbers of commodity-dependent countries in all regions. Note that the importance of this vulnerability factor may be understated for poorer countries. Data for a number of these countries are missing or incomplete, despite efforts to compensate for these problems, as detailed in the Annex. In addition, the weaker average capacity of economic systems in poorer countries can magnify how a drop in export revenues impacts economic stability. For example, commodity exports make up an estimated 14% of gross domestic product (GDP) in Nigeria, suggesting the country is at much lower risk than many high-income oil exporters, such as the United Arab Emirates. However, Nigeria has a very poorly functioning tax system, with tax revenues accounting for just 3-4% of GDP, and its ability to generate revenue from sources other than oil is very weak. As a result, oil accounts for at least half of Nigeria’s fiscal revenues. The crash in oil prices has therefore forced Nigeria to lower its 2020 budget substantially and seek support from the International Monetary Fund for the first time since 2000.

Countries whose economies rely heavily on tourism face elevated risks. The pandemic and restrictions on the movement of people have all but wiped out tourism in many countries, and a global recession is expected to diminish tourist revenues long after restrictions are removed. A number of the affected countries are very highly exposed, deriving up to 60% of their GDP from tourism. Dependence on tourism revenue is a key driver of vulnerability among the Caribbean and Pacific countries with over two-thirds ranking among the most vulnerable to drops in tourism, and only Trinidad and Tobago and Papua New Guinea in the lowest vulnerability group. At least five countries in the region generate more than one-third of their GDP from tourism. In the Western Balkans, Albania, Bosnia and Herzegovina and Montenegro fall into the highest vulnerability group for declines in tourism, remittance receipts or both. In the ENCA region, Jordan and Lebanon are in the highest vulnerability group for a contraction in tourism. Morocco, Tunisia and Egypt are judged to be at intermediate risk. Several countries across Asia, Latin America and sub-Saharan Africa are highly or moderately dependent on tourism. As with commodity revenues, underlying weaknesses in the economic system could magnify how poorer countries are impacted by a drop in foreign exchange revenues resulting from collapsing tourism receipts.

Countries whose manufacturing sectors rely on inputs produced abroad may be more vulnerable if there are lockdowns and curfews where these offshore production sites are located. Of the Western Balkan countries, only North Macedonia belongs to the group with the highest exposure to global value chains (Figure 3), and Turkey falls into the lowest vulnerability group based on the data available. Only 20% of countries in Latin America and 15% in sub-Saharan Africa are in the highest or intermediate vulnerability group for global value chains.

(14)

Remittances were a source of support during previous economic crises, but money sent back to countries of origin is expected to fall by more than $100 billion in 2020, according to the World Bank, heightening the economic vulnerability of countries that rely on this form of revenue. A number of Caribbean and Pacific countries will be badly affected, exacerbating the shock already sustained from the fall in tourism. Tonga, which derived 41% of its GDP from remittances in 2019, has the world’s highest exposure. Several countries in the ENCA region are among the most vulnerable to drops in remittances (mainly from Russia). This includes Kyrgyzstan, where remittances account for at least a third of GDP. In the Southern Neighbourhood countries, almost 40% are in the highest vulnerability group. Remittance dependence appears less widespread in Asia, Latin America and sub-Saharan Africa, although it is an important source of revenue for many countries in these regions too. Note that informal remittances are generally not reported and several studies suggest a higher incidence in Latin America and sub- Saharan Africa than in other regions, meaning that their vulnerability to a drop in remittances is probably underestimated.

Figure 3

Economic structure and vulnerability (vulnerability level, percentage of countries)

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Intermediate

Highest Lowest Data missing

Remittances Tourism Commodities Global value chains

Western Balkans and Turkey

Sub-Saharan Africa

Southern Neighbourhood

Latin America

ENCA

Caribbean & Pacific

Asia

(15)

HEALTHCARE AND ECONOMIC SYSTEMS 9

HEALTHCARE AND ECONOMIC SYSTEMS

The resilience of a country’s economic system and the quality of its healthcare are key factors in its vulnerability to COVID-19, as shown in Figure 4.

Figure 4

Vulnerability of economic systems and healthcare sector (percentage of countries in the highest vulnerability group)

Health system and demography Vulnerability to capital outflows Banking system Asia

Caribbean & Pacific Western Blakans

and Turkey

Sub-Saharan Africa

Southern Neighbourhood

ENCA

Latin America

40 60

20 80 100

0

Level of public debt Risk of debt distress moderate or high (IMF)

Note: Debt distress is based on IMF debt sustainability analyses and is not available for high-income countries.

Resilience in the European Union’s neighbourhood varies widely. The Western Balkan countries face a challenging situation in the healthcare sector, with all falling into the highest or intermediate vulnerability category for this variable. Another factor is that their populations are beginning to age.

Bosnia and Herzegovina is the only country in the most highly exposed group to capital outflows. The banking systems in the Western Balkan countries are more vulnerable to a protracted crisis, with the risk particularly high in Albania, Bosnia and Herzegovina and Montenegro. However, they are less likely to fall into the highest risk category for public debt. The vulnerability of ENCA and Southern Neighbourhood countries is largely driven by their banking systems and the risk of unmanageable capital outflows.

However, healthcare in most ENCA countries is relatively well developed. Even low-income countries such as Kyrgyzstan and Tajikistan are in the lowest risk category for the healthcare sector. By contrast, more than half of the countries in the Southern Neighbourhood fall into the highest vulnerability category for this risk component.

(16)

The weak healthcare and economic systems in sub-Saharan Africa and the Caribbean and Pacific countries make it harder for them to fight problems such as the COVID-19 pandemic. The lowest- income countries have disproportionately young populations, which should lower their vulnerability to health impacts compared to higher-income countries. However, this youth factor does not offset the lower capacity of most of the healthcare systems in sub-Saharan Africa and Latin America to handle a large number of COVID-19 cases. Although a relatively small proportion of these regions’ countries are above the public debt-to-GDP threshold that would put them into the highest vulnerability category, they in reality have far less capacity to cope with public debt than their peers in other regions. This is reflected in the relatively high proportion deemed at high risk of debt distress before the crisis, according to the IMF. Across the two regions, 24 states are at high risk of debt distress or currently in debt distress, with a further 16 classified as facing moderate risk. The COVID-19 crisis is already increasing the risk of debt distress. The need to address the healthcare and economic impacts of COVID-19 has driven up expenses, while a slowing economy and falling commodity prices have drastically cut revenues for many countries.

At the same time, those that access international capital markets are facing increased yields and some have already lost access to market funding. A relatively small number of Caribbean and Pacific countries are in the most highly exposed group to the risk of capital outflows, but a large number of sub-Saharan African countries are in the highest or intermediate exposure group based on their basic balances.

Resilience in Latin America and Asia is mixed. A significant number of countries in Latin America and Asia are in the highest vulnerability group based on the capacity of their healthcare systems and their vulnerability to capital outflows. Banking systems, however, are more likely to be resilient in Asian countries – only 18% fall into the highest vulnerability group. Few countries in either region fall into the highest vulnerability category based on the ratio of public debt to GDP. However, the IMF lists Afghanistan, Argentina, Bhutan, Ecuador, Guyana, Laos, the Maldives, Nicaragua and Venezuela at a high or moderate risk of debt distress.

(17)

THE EIB COVID-19 VULNERABILITY INDEX 11

THE EIB COVID-19 VULNERABILITY INDEX

COVID-19 Economic Vulnerability

Index

Health system and demography

Economic vulnerability to drop in Vulnerability to capital

outflows Fiscal space Banking sector strength Global value

chains Tourism Remittances Commodity exports Afghanistan

Albania Algeria Angola

Antigua and Barbuda Argentina Armenia Aruba Australia Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belize Benin Bhutan Bolivia

Bosnia and Herzegovina Botswana

Brazil Burkina Faso Burundi Cabo Verde Cambodia Cameroon Canada Chile China Colombia Congo, Dem. Rep.

Congo, Rep.

Costa Rica Côte d’Ivoire Djibouti

Dominican Republic Ecuador Egypt El Salvador

■ Highest vulnerability ■ Intermediate vulnerability ■ Lowest vulnerability ■■ Data missing

(18)

12 THE EIB COVID-19 ECONOMIC VULNERABILITY INDEX COVID-19

Economic Vulnerability

Index

chains Tourism Remittances Commodity exports Eswatini

Ethiopia Fiji Gabon Gambia, The Georgia Ghana Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras

Hong Kong SAR, China India

Indonesia Iran Iraq Israel Jamaica Japan Jordan Kazakhstan Kenya South Korea Kuwait Kyrgyzstan Laos Lebanon Lesotho Liberia Libya Madagascar Malawi Malaysia Maldives Mali Mauritania Mauritius Mexico Moldova Mongolia Montenegro

(19)

THE EIB COVID-19 VULNERABILITY INDEX 13 COVID-19

Index

chains Tourism Remittances Commodity exports Morocco

Mozambique Myanmar/Burma Namibia Nepal New Zealand Nicaragua Niger Nigeria North Macedonia Oman Pakistan Panama Papua New Guinea Paraguay Peru Philippines Qatar Romania Russian Rwanda Samoa

São Tomé and Príncipe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Solomon Islands Somalia South Africa South Sudan Sri Lanka Sudan Suriname Tajikistan Tanzania Thailand Togo Tonga

Trinidad and Tobago Tunisia

Turkey

(20)

14 THE EIB COVID-19 ECONOMIC VULNERABILITY INDEX COVID-19

Index

chains Tourism Remittances Commodity exports Turkmenistan

Uganda Ukraine

United Arab Emirates Uruguay

Uzbekistan Vanuatu Venezuela Vietnam Yemen Zambia Zimbabwe

(21)

ANNEX: TECHNICAL DETAILS 15

ANNEX: TECHNICAL DETAILS

Variables used in the vulnerability index:

I. Quality of healthcare and age of population: physicians (per 1 000 people), hospital beds (per 1 000 population) and population aged 65 and over (percentage of total population).

II. Global value chains: global value chain participation as a percentage of GDP.

III. Tourism: international tourism receipts as a percentage of GDP.

IV. Money sent back to country of origin: personal remittances received as a percentage of GDP.

V. Exports: of fuels, metals and ores as a percentage of GDP. For countries classified as commodity exporters based on the United Nations Conference for Trade and Development’s (UNCTAD) State of Commodity Dependence, missing data were replaced with the cross-sectional median value for the relevant commodity exporter group (fuels or metals and ores). For other countries, missing data were not replaced.

VI. Vulnerability to capital outflows: basic balance as a percentage of GDP (current account balance plus net foreign direct investment as a percentage of GDP).

VII. Government: debt as a percentage of GDP and debt distress risk (for low-income countries, a dummy variable that takes the value of 1 for a low debt distress risk classification by the IMF, 2 for moderate risk and 3 for high risk and debt distressed economies).

VIII. Banking risk: Banking Industry Risk (BIR) score (1=least risky, 9=most risky).

Data on global value chain participation came from the UNCTAD EORA database. The IMF’s classification of debt distress risk based on the most recent debt sustainability analyses was used, and to identify commodity exporters, the UNCTAD State of Commodity Dependence’s classification was used. Other indicators came from the World Bank.

A score is calculated for each variable listed in the columns on the index. For variables where higher values indicate lower vulnerability (for example, the basic balance or number of doctors per head of population), we calculated the distance of the variable from the sample maximum and divided that distance by the difference between the sample maximum and minimum. For variables where lower values indicate lower vulnerability (for example, international tourism receipts or commodity exports as a percentage of GDP), we calculated the distance of the variable from the sample minimum and divided that distance by the difference between the sample maximum and minimum. The higher the score in each column of the index, the higher the vulnerability of the country to the COVID-19 pandemic.

The score for the quality of healthcare and age of population equals the average scores for physicians (per 1 000 people), hospital beds (per 1 000 population) and population aged 65 and over (percentage of total population). The score for government debt is equal to the maximum of the scores for public debt as a percentage of GDP and for the debt distress risk dummy. An aggregate indicator of the impact on GDP was constructed as the maximum of the scores for global value chains, tourism, remittances and commodity exports, to reflect the fact that a country can be severely impacted, even if only through just one of the columns in the index. The aggregate COVID-19 Vulnerability Index equals the average of the scores for the quality of healthcare and age of the population, the impact on GDP, government debt and banking risk. Higher indicator values mean there is higher vulnerability to COVID-19.

(22)

For easier reading, we constructed a heat map of the various countries per indicator. The values of the different factors are coloured as follows:

The factor values were classified based on the following thresholds:

Overall economic vulnerability to COVID-19: (lowest: 0-40, intermediate: 40-60 and highest: >60) Quality of healthcare and age of the population: (lowest: 0-50, intermediate: 50-60 and highest: >60)

The remaining economic factors in the index are scored as follows:

• Tourism, remittances, commodity exports

(lowest: tourism, remittances, commodity exports <5% of GDP, intermediate: 5-10% and highest: >10%)

• BIR

(lowest: 1-4, intermediate: 5-6 and highest: 7-9)

• Global value chain

(lowest: global value chain participation <10% of GDP, intermediate: 10-20% and highest: >20%)

• Government debt

(lowest: public debt >50% of GDP, intermediate: 50-90% or moderate risk of debt distress and highest: >90% or high risk of debt distress)

• Vulnerability to capital outflows

(lowest: basic balance >5% of GDP, intermediate: 0-5% and highest: <0%)

(23)

(24)

twitter.com/EIB

facebook.com/EuropeanInvestmentBank youtube.com/EIBtheEUbank

European Investment Bank 98 -100, boulevard Konrad Adenauer L-2950 Luxembourg

3 +352 4379-1

www.eib.org – U info@eib.org

08/2020 – EN pdf: ISBN978-92-861-4713-5

THE EIB COVID-19 ECONOMIC VULNERABILITY INDEX

THE EIB COVID-19 ECONOMIC VULNERABILITY

INDEX

2020

THE EIB COVID-19 ECONOMIC VULNERABILITY

INDEX

AN ANALYSIS OF COUNTRIES OUTSIDE THE EUROPEAN UNION

2020

CONTENTS

INTRODUCTION 1

THREE FACTORS CONTRIBUTING TO RESILIENCE 3

GLOBAL SUMMARY 5

THE POWER OF A DIVERSE ECONOMY 7

HEALTHCARE AND ECONOMIC SYSTEMS 9

THE EIB COVID-19 VULNERABILITY INDEX 11

ANNEX: TECHNICAL DETAILS 15

INTRODUCTION

THREE FACTORS CONTRIBUTING TO RESILIENCE

GLOBAL SUMMARY

THE POWER OF A DIVERSE ECONOMY

HEALTHCARE AND ECONOMIC SYSTEMS

THE EIB COVID-19 VULNERABILITY INDEX

ANNEX: TECHNICAL DETAILS