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1 UPDATE A Precarious Path to Recovery Abdul Abiad Director, Macroeconomic Research Asian Development Bank

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  • 1

    UPDATEA Precarious Path to Recovery

    Abdul AbiadDirector, Macroeconomic ResearchAsian Development Bank

  • Key messages

    • Developing Asia will contract (-0.7%) this year, its first contraction in six decades. Growth will rebound to 6.8% in 2021, but this implies only a partial recovery.

    • The downturn is broad-based—three-fourths of the region's economies are expected to contract this year. China is an important exception

    • Risks to the outlook include the possibility of a prolonged pandemic; geopolitical tensions; and unclear long-term socio-economic impacts

    2

  • The global pandemic persists, and is at varying stages in developing Asia

    The virus continues to spread globally… …with South Asia being the epicenter in developing Asia.

    Note: Latin American includes Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Cuba, Dominican Republic, El Salvador, Guatemala, Haiti, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Uruguay, Venezuela.Sources: European Centre for Disease Prevention and Control, Johns Hopkins University, Telegraph UK, and Worldometer (accessed on 11 November 2020). 3

    Sources: European Centre for Disease Prevention and Control, Johns Hopkins University, Telegraph UK, and Worldometer (accessed on 11 November 2020) .

    100

    1,000

    10,000

    100,000

    1,000,000

    Mar2020

    Apr 2020 May2020

    Jun 2020 Jul 2020 Aug 2020 Sep 2020 Oct 2020 Nov 2020

    New cases, 7-day moving average (Log scale)

    Developing Asia

    Latin AmericaUnited States

    Euro Area

    0

    1

    10

    100

    1,000

    10,000

    100,000

    Feb2020

    Mar2020

    Apr2020

    May2020

    Jun2020

    Jul 2020 Aug2020

    Sep2020

    Oct2020

    Nov2020

    New cases, 7-day moving average (Log scale)

    South Asia

    Southeast Asia

    Central Asia

    East Asia

    The Pacific

  • In response, containment measures of varying stringency have been imposed…

    Stringent containment measures in Asia are now being eased…

    4Note: The Government Response Stringency index is a composite measure of nine response indicators including school closures, workplace closures, and travel bans, rescaled to a value from 0 to 100, with 100 being the strictest response. Source: University of Oxford. (accessed 11 November 2020).

    Central Asia

    East Asia

    South Asia

    The Pacific

    0

    20

    40

    60

    80

    100

    Jan2020

    Feb2020

    Mar2020

    Apr2020

    May2020

    Jun2020

    Jul2020

    Aug2020

    Sep2020

    Oct2020

    Southeast Asia

    …with important variations across and within regions.

  • …which have restricted mobility and domestic activity.

    5

    Notes: Red dots are ADB developing member economies. Year-on-year GDP growth relative to GDP growth in Q4 of 2019.Sources: CEIC Data Company; Oxford University; and Google.

    …which were associated with steep GDP growth declines.

    HKG

    ROKTAP

    GEO

    KAZ

    KGZ

    AFG

    BAN

    INDNEP

    PAK

    SRI

    INOLAO

    MAL

    MYA

    PHI

    SINTHA

    VIE

    -60

    -40

    -20

    0

    20

    0 20 40 60 80 100

    Average stringency index

    East AsiaCentral AsiaSouth AsiaSoutheast AsiaThe PacificLinear (Trend line)

    Aver

    age

    mob

    ility

    out

    side

    resid

    ence

    , per

    cent

    age

    chan

    ge fr

    om th

    e ba

    selin

    e

    PNG

    FIJ

    CAMTAJ

    Outbreaks and containment led to mobility reductions…

    Sources: Oxford University and Google.

    GEO Q1HKG Q1

    IND Q1INO Q1KGZ Q1MAL Q1

    MON Q1

    NEP Q1PHI Q1

    SIN Q1KOR Q1

    SRI Q1

    TAP Q1

    THA Q1

    VIE Q1

    GEO Q2

    HKG Q2

    IND Q2

    INO Q2KGZ Q2

    MAL Q2

    MON Q2

    PHI Q2

    SIN Q2

    KOR Q2

    TAP Q2

    THA Q2

    VIE Q2

    -40

    -30

    -20

    -10

    0

    10

    -80 -60 -40 -20 0 20

    Average mobility (change from baseline, %)

    GDP growth decline,percentage points

  • Trade plummeted, but has bottomed out—with Asia’s trade falling by less than global trade

    -30

    -20

    -10

    0

    10

    Jan-19 May-19 Sep-19 Jan-20 May-20

    WorldG3Developing Asia

    6

    Notes: G3 refers to the weighted average of US, Japan, and Euro area. Developing Asia refers to the weighted average of PRC; Hong Kong, China; India; Indonesia; Republic of Korea; Malaysia; Pakistan; Philippines; Singapore; Taipei,China; Thailand; and Viet Nam.

    Source: CPB Netherlands Bureau for Economic Policy Analysis. Available: https://www.cpb.nl/en/worldtrademonitor (accessed 26 August 2020).

    Real exports% change, year on year

    Real imports% change, year on year

    -30

    -20

    -10

    0

    10

    Jan-19 May-19 Sep-19 Jan-20 May-20

    WorldG3Developing Asia

    Exports of health supplies and electronics have helped Asia… …as has the smaller output decline in the PRC.

  • Growth slumped in the first half of 2020

    Growth and demand-side contributions to growth, 2019 and 2020H1, selected economies

    7Sources: Haver Analytics; CEIC Data Company (both accessed 13 November 2020); ADB estimates.

    Note: Data for all economies (including India) are on calendar year basis, i.e., calendar year 2019 and calendar H1 2020 (March and June quarters of 2020). Details may not add up to total due to statistical discrepancy.

    6.1

    -1.6

    4.9

    -10.1

    5.0

    -1.3

    4.3

    -8.3

    6.0

    -9.3

    2.4

    -6.9

    7.0

    1.8

    -1.2

    -9.1

    2.0

    -0.7

    0.7

    -6.8

    2.70.8

    -18

    -9

    0

    9

    18

    2019 H12020

    2019 H12020

    2019 H12020

    2019 H12020

    2019 H12020

    2019 H12020

    2019 H12020

    2019 H12020

    2019 H12020

    2019 H12020

    2019 H12020

    PRC IND INO MAL PHI THA VIE HKG ROK SIN TAP

    Consumption Investment Net exports GDP growth

    Percentage points

    NIEsASEAN-5PRC and India

  • Asian governments have stepped in with a wide-ranging crisis response

    Policy packages in developing Asia

    Note: Data as of 2 November 2020.Source: Compiled from ADB COVID-19 Policy Database, https://covid19policy.adb.org/ (accessed on 9 November 2020).

    8

    Government income support accounts for more than half of the region’s policy response.

    7.9

    9.3

    5.8

    4.1

    6.5

    2.9

    13.6

    2.4 2.81.8 1.6

    0.2 0.1

    13.5

    3.3 3.6

    1.0

    3.9

    1.5

    0.0

    4.7

    1.2 1.0

    3.8

    0.1 0.30.7

    2.0

    0.2 0.2 0.1 0.0 0.0 0.00.7

    0

    3

    6

    9

    12

    15

    Developing Asia East Asia Southeast Asia South Asia Central Asia The Pacific OECD advancedeconomies

    Government support to income/revenueCredit creationLiquidity supportDirect long-term lendingEquity support

    % of GDP

  • Regional GDP will contract this year, for the first time in nearly 6 decades…

    Real GDP growth in developing Asia

    Source: Asian Development Outlook database.9

    Real GDP levels in developing Asia

    100

    110

    120

    130

    140

    2015 2016 2017 2018 2019 2020 2021

    2015 real GDP = 100

    Forecast

    Pre-COVID trend

    5.9

    5.1

    -0.7

    6.8

    2.2

    6.2

    0.1

    6.2

    -2

    0

    2

    4

    6

    8

    2018 2019 2020 2021

    %

    April 2020ADO

    September 2020 ADO Update

    Forecast

    June 2020ADOS

    After a 0.7% contraction this year, growth will resume in 2021… …but output will remain well below where it should be.

  • p = upgraded forecast, q = downgraded forecast, no sign = unchanged.

    Source: Asian Development Outlook database. 10

    2020 2021 2020 2021ADO ADOU ADO ADOU ADO ADOU ADO ADOU

    East Asia 2.0 1.3 q 6.5 7.0 p South Asia 4.1 -6.8 q 6.0 7.1 pHong Kong, China -3.3 -6.5 q 3.5 5.1 p Bangladesh 7.8 5.2 q 8.0 6.8 qPRC 2.3 1.8 q 7.3 7.7 p India 4.0 -9.0 q 6.2 8.0 pRepublic of Korea 1.3 -1.0 q 2.3 3.3 p Pakistan 2.6 -0.4 q 3.2 2.0 qTaipei,China 1.8 0.8 q 2.5 3.5 p

    Central Asia 2.8 -2.1 q 4.2 3.9 qSoutheast Asia 1.0 -3.8 q 4.7 5.5 p Azerbaijan 0.5 -4.3 q 1.5 1.2 qIndonesia 2.5 -1.0 q 5.0 5.3 p Kazakhstan 1.8 -3.2 q 3.6 2.8 qMalaysia 0.5 -5.0 q 5.5 6.5 pPhilippines 2.0 -7.3 q 6.5 6.5 The Pacific -0.3 -6.1 q 2.7 1.3 qSingapore 0.2 -6.2 q 2.0 4.5 p Fiji -4.9 -19.8 q 3.0 1.0 qThailand -4.8 -8.0 q 2.5 4.5 p Papua New Guinea 0.8 -2.9 q 2.8 2.5 qViet Nam 4.8 1.8 q 6.8 6.3 q

    Developing Asia 2.2 -0.7 q 6.2 6.8 p Excluding NIEs 2.4 -0.5 q 6.7 7.2 p

    …and the decline is broad-based, affecting most economies.

  • Risks remain tilted to the downside…

    • The main risk is of a prolonged pandemic (extended first wave, or recurrent waves) which can stifle recovery, and which could trigger crises in some economies; ADO Update has quantitative downside scenario• Worsening geopolitical tensions are another risk—most notably intensified

    US–PRC frictions over trade and technology• There is an upside risk from early vaccine arrival, but this is tempered by

    potential for “vaccine nationalism”• Unclear long-term effects of pandemic—on growth potential, income

    inequality (including through unemployment and the digital divide), and trade

    11

  • 12

    …but developing Asia will still drive global growth post-COVID.

    Source: Asian Development Outlook database; World Economic Outlook database, October 2020.

    Contributions to global growth

    4.8

    2.53.0

    4.3

    5.44.9

    5.5 5.5

    3.0

    -0.1

    5.4

    4.33.5 3.5 3.5 3.4 3.3

    3.8 3.52.8

    -4.4

    5.24.2 3.8 3.6 3.5

    -6

    -4

    -2

    0

    2

    4

    6

    2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025

    Percentage points

    Developing Asia United States Euro area

    Japan Latin America and the Caribbean Middle East and North Africa

    Sub-Saharan Africa Rest of the world

  • Appendix slides

    13

  • COVID-19 will result in a loss of $6.1–$9.1 trillion (7.1%–10.5%) of global GDP vs. a no-COVID baseline.

    Estimated global and regional losses due to COVID-19 (relative to a no-COVID counterfactual)

    Source: Abiad et al., 2020, “The impact of COVID-19 on developing Asian economies: The role of outbreak severity, containment stringency, and mobility declines,” in COVID-19 in Developing Economies, CEPR e-book (https://voxeu.org/content/covid-19-developing-economies)

    14

    Shorter- containment Longer- containment Shorter- containment Longer- containmentWorld -7.1 -10.5 -6,065.7 -9,051.6Developing Asia -5.7 -8.5 -1,309.8 -1,955.4

    Central Asia -8.6 -12.7 -31.1 -46.3East Asia -5.1 -7.6 -820.5 -1,227.2Southeast Asia -7.2 -10.6 -213.0 -315.4South Asia -7.0 -10.4 -243.6 -364.1The Pacific -4.8 -7.1 -1.7 -2.4

    United States -8.0 -12.0 -1,646.6 -2,461.8Europe -9.1 -13.6 -1,715.1 -2,556.6Rest of the world -5.9 -8.8 -1,394.2 -2,077.7

    GDP (%) GDP ($ billion)

    https://voxeu.org/content/covid-19-developing-economies

  • The pandemic’s impact works through different channels across economies…

    COVID-19’s impact on developing Asia GDP (relative to no-COVID counterfactual)

    Source: Abiad et al., 2020, “The impact of COVID-19 on developing Asian economies: The role of outbreak severity, containment stringency, and mobility declines,” in COVID-19 in Developing Economies, CEPR e-book (https://voxeu.org/content/covid-19-developing-economies) 15

    Note: Domestic demand declines are assumed only for economies with significant outbreaks (more than 1,000 cases). Does not account for any policy responses.AFG = Afghanistan, ARM = Armenia, AZE = Azerbaijan, BAN = Bangladesh, BHU = Bhutan, BRU = Brunei Darussalam, CAM = Cambodia, COO = Cook Islands, FSM = Federated States of Micronesia, FIJ = Fiji, GEO Georgia, HKG = Hong Kong, China, IND = India, INO = Indonesia, KAZ = Kazakhstan, KIR = Kiribati, KYR = Kyrgyz Republic, LAO = Lao People’s Dem. Rep., MAL = Malaysia, MLD = Maldives, MAR = Marshall Islands, MON = Mongolia, MYA = Myanmar, NAU = Nauru, NEP = Nepal, PAK = Pakistan, PAL = Palau, PNG = Papua New Guinea, PRC = People’s Republic of China, PHI = Philippines, KOR = Republic of Korea, SAM = Samoa, SIN = Singapore, SOL = Solomon Islands, SRI = Sri Lanka, TAP = Taipei,China, TAJ = Tajikistan, THA = Thailand, TIM = Timor-Leste, TON = Tonga, TUV = Tuvalu, UZB = Uzbekistan, VAN = Vanuatu, and VIE = Viet Nam.

    -35

    -30

    -25

    -20

    -15

    -10

    -5

    0

    ARM

    AZE

    GEO

    KAZ

    KGZ

    TAJ

    TKM

    UZB

    PRC

    HKG

    ROK

    MO

    NTA

    P

    BRU

    CAM

    INO

    LAO

    MA

    LM

    YAPH

    ISI

    NTH

    ATI

    MVI

    E

    AFG

    BAN

    BHU

    IND

    MLD

    NEP

    PAK

    SRI

    COO

    FIJ

    FSM

    KIR

    RMI

    NAU

    PAL

    PNG

    SOL

    TOM

    TUV

    VAN

    SAM

    Loss

    (% o

    f GDP

    ), re

    lativ

    e to

    no-

    COVI

    D ba

    selin

    e

    Global Spillovers (excluding tourism)

    International tourism demand decline

    Domestic demand decline

    Central East Southeast South Pacific

    https://voxeu.org/content/covid-19-developing-economies

  • …and will have differential impact across sectors.COVID-19’s sectoral impact (relative to no-COVID counterfactual)

    Source: Abiad et al., 2020, “The impact of COVID-19 on developing Asian economies: The role of outbreak severity, containment stringency, and mobility declines,” in COVID-19 in Developing Economies, CEPR e-book (https://voxeu.org/content/covid-19-developing-economies) 16

    Note: Sectoral impacts are available only for 24 developing Asian economies covered by the ADB Multi-Region Inout-Outout Tables (MRIOT)BAN = Bangladesh, BHU = Bhutan, BRU = Brunei Darussalam, CAM = Cambodia,, FIJ = Fiji, HKG = Hong Kong, China, IND = India, INO = Indonesia, KAZ = Kazakhstan,, KYR = Kyrgyz Republic, LAO = Lao People’s Dem. Rep., MAL = Malaysia, MLD = Maldives, MON = Mongolia, NEP = Nepal, PAK = Pakistan, PRC = People’s Republic of China, PHI = Philippines, KOR = Republic of Korea, SIN = Singapore, SRI = Sri Lanka, TAP = Taipei,China, THA = Thailand, and VIE = Viet Nam.

    -35.0

    -30.0

    -25.0

    -20.0

    -15.0

    -10.0

    -5.0

    0.0KAZ KYR PRC HKG KOR MON TAP BRU CAM LAO INO MAL PHI SIN THA VIE BAN BHU IND MLD NEP PAK SRI FIJ

    Loss

    (% o

    f GDP

    ), re

    lativ

    e to

    no-

    COVI

    D ba

    selin

    e

    Agriculture, Mining and Quarrying Business, Trade, Personal, and Public ServicesLight/Heavy Manufacturing, Utilities, and Construction Hotel and restaurants and Other Personal ServicesTransport services

    Central East Southeast South Pacific

    https://voxeu.org/content/covid-19-developing-economies

  • No end is yet in sight for the global tourism collapse…

    Decline in tourist arrivals, selected developing Asian economies

    For the 24 economies with tourist arrivals data available for August, the year-on-year decline in arrivals ranges from 89% to 100%. For Pacific economies, year-on-year declines in arrivals are between 97% and 100%.

    Sources: CEIC Data Company; IMF Tourism Tracker; and country official sources (accessed 21 October 2020).

    17

    -89.0

    -100

    -80

    -60

    -40

    -20

    0

    20

    40

    Jan 2019 Apr Jul Oct Jan 2020 Apr Jul Sep

    % change year on year

    India Indonesia Viet NamSri Lanka Taipei,China Rep. of KoreaSingapore Nepal Hong Kong, ChinaThailand Maldives GeorgiaCambodia

    -97.0-100

    -80

    -60

    -40

    -20

    0

    20

    40

    60

    80

    100

    Jan 2019 Apr Jul Oct Jan 2020 Apr Jul Aug

    % change year on year

    Vanuatu Palau FijiSamoa Cook Islands FSMPapua New Guinea Marshall Islands Solomon IslandsTonga Tuvalu

  • …and many travelers are deferring travel for a longer period.

    18

    Travel plans after bans are lifted

    Source: IATA

    22%

    45%

    23%

    7%

    3%

    14%

    47%

    28%

    8%

    4%

    12%

    33%

    36%

    14%

    5%

    15%

    33% 32%

    15%

    5%

    Not wait at all Wait a month or two Wait six months or so Wait a year or so Not travel for the foreseeablefuture

    February Survey April Survey(used in June estimates)

    June Survey August Survey(used in the latest estimates)

    52% of survey respondents plan to wait six months to a year or more after travel bans are lifted before traveling or have deferred travel indefinitely.

    There has also been a shift toward domestic and short-haul travel.

  • Downside risk scenario: impact of prolonged global pandemic

    19

    PRC = People’s Republic of China, IND = India, FY = fiscal year, EA = emerging Asia. EA includes Hong Kong, China, Malaysia, Philippines, Republic of Korea, Singapore, Taipei,China, Thailand and Vietnam.Note: Data for India are in fiscal years ending 31 March of the next year.Source: ADB estimates using the Global Projection Model (GPM).

    Effect on GDP (relative to ADOU baseline)• Prolonged pandemic with extended first

    waves or recurrent waves• Renewed (but “smarter”) containment

    measures in affected regions• Main impact is domestic, with some global

    spillovers through trade and financial channels

    • Growth in 2020 would be lower by 1.3pp in the PRC, 3.4pp in India, and 4.0pp in “other emerging Asia” bloc; with additional losses in 2021.

  • Containment measures are not all equally effective at stemming outbreak transmission

    20

    Estimated impact of various policy measures on outbreak transmission R(t)

  • Note: Lower-income DMCs are shown with darker shaded dots and labels. Sources: ADB projections using data from World Economic Outlook (WEO) October 2019, WEO April 2020, WEO October 2020 and Asian Development Outlook (ADO) Update – September 2020. 21

    Many countries are moving from balanced budgets and low debt to sizeable deficits and higher debt.

    AFGKIR

    LAO

    MLD

    RMIFSM

    SAMTAJ

    TON

    TUV AFG

    KIR

    LAO

    MLD

    RMI

    FSM

    SAM

    TAJTON

    TUVBAN

    CAM

    MYANEP

    TIM

    UZB

    BHU

    KGZ

    PNG

    SOL

    VAN

    BANCAMMYANEP

    TIM

    UZB

    BHU

    KGZ

    PNG

    SOL

    VAN

    0%

    25%

    50%

    75%

    100%

    125%

    150%

    -50% -40% -30% -20% -10% 0% 10% 20% 30%

    Publ

    ic D

    ebt (

    % o

    f GDP

    )

    Fiscal Balance (% of GDP)

    20192021

    Public Debt and Fiscal Balance

    2019: 2 DMCs2021: 1 DMCs

    2019: 9 DMCs2021: 20 DMCs

    2019: 19 DMCs2021: 17 DMCs

    2019: 10 DMCs2021: 2 DMCs

    Public debt and fiscal balance

  • 22

    Sectoral indebtedness (% of GDP)

    305%($187 tn)

    322%($255 tn)

    387%($158 tn)

    383%($184 tn)

    168%($28 tn)

    220%($71 tn)

    198%($18 tn)

    265%($57 tn)

    0

    100

    200

    300

    400

    500

    2009 2019 2009 2019 2009 2019 2009 2019

    World Advanced economies Emerging marketeconomies

    Developing Asia

    Household debt Nonfinancial corporates Financial corporates Government

    GDP=gross domestic product; tn = trillionNotes: Percentages refer to totals across sectors by economy grouping, which is based on Institute of International Finance definitions. Developing Asia is a subset of Emerging market economies and is comprised of Hong Kong, China; India; Indonesia; Republic of Korea; Malaysia; Pakistan; People’s Republic of China; Philippines; Singapore; and Thailand. Numbers in parentheses refer to total debt levels.Source: Institute of International Finance Global Debt Database (accessed 12 June 2020).

    Debt had already been on the rise in the decade preceding COVID-19…

  • 23

    GDP=gross domestic product; HKG=Hong Kong, China; IND=India; INO=Indonesia; KOR=Republic of Korea; MAL=Malaysia; PAK=Pakistan; PHI=Philippines; PRC=People’s Republic of China; SIN=Singapore; THA=Thailand; tn = trillionNotes: Percentages refer to totals across sectors. Numbers in parentheses refer to total debt levels.Source: Institute of International Finance Global Debt Database (accessed 12 June 2020).

    370%($0.8 tn)

    519%($1.9 tn)

    137%($1.8 tn)

    129%($3.6 tn)

    65%($0.4 tn)

    79%($0.9 tn)

    276%($2.9 tn)

    330%($5.2 tn)

    202%($0.4 tn)

    221%($0.8 tn)

    65%($0.1 tn)

    94%($0.3 tn)

    93%($0.2 tn)

    99%($0.4 tn)

    209%($10.6 tn)

    300%($41.5 tn)

    428%($0.9 tn)

    480%($1.8 tn)

    162%($0.5 tn)

    188%($1.0 tn)

    0

    100

    200

    300

    400

    500

    600

    2009 2019 2009 2019 2009 2019 2009 2019 2009 2019 2009 2019 2009 2019 2009 2019 2009 2019 2009 2019

    HKG IND INO KOR MAL PAK PHI PRC SIN THA

    Household debt Nonfinancial corporates Financial corporates Government

    …with wide variation across developing Asian economies and sectors.

    Sectoral indebtedness (% of GDP)

  • Asia’s trade has been stagnant since 2018, when the US-China trade war began

    Source: CPB Netherlands Bureau for Economic Policy Analysis World Trade Monitor.

    24

    Developing Asia's Trade, 2000-2020

    0

    20

    40

    60

    80

    100

    120

    140

    160

    Jan-

    00Ju

    l-00

    Jan-

    01Ju

    l-01

    Jan-

    02Ju

    l-02

    Jan-

    03Ju

    l-03

    Jan-

    04Ju

    l-04

    Jan-

    05Ju

    l-05

    Jan-

    06Ju

    l-06

    Jan-

    07Ju

    l-07

    Jan-

    08Ju

    l-08

    Jan-

    09Ju

    l-09

    Jan-

    10Ju

    l-10

    Jan-

    11Ju

    l-11

    Jan-

    12Ju

    l-12

    Jan-

    13Ju

    l-13

    Jan-

    14Ju

    l-14

    Jan-

    15Ju

    l-15

    Jan-

    16Ju

    l-16

    Jan-

    17Ju

    l-17

    Jan-

    18Ju

    l-18

    Jan-

    19Ju

    l-19

    Jan-

    20Ju

    l-20

    Inde

    x, 2

    010=

    100

    2001-2008: China's WTO accession and the rise of global value chains

    2009-2010: The GFC and the great trade collapse and recovery

    2011-2017: continued post-GFC trade expansion

    2018-2020: trade wars and COVID-19