GCRI · Economic Development
Trade and external shocks
Developing economies are exposed to shocks from abroad: swings in commodity prices, falls in export demand, sudden stops in capital flows, remittance changes and tighter global finance. These shocks transmit through trade, finance and confidence into output, jobs and public budgets. This page sets out how external shocks transmit, how exposure is measured, and what evidence serves the finance ministries and central banks that manage them.
How the work runs.
Shock propagation model
Trade and external shocks · National economy · Scenario: import price shock
Output impact by channel
Most affected sectors
| Food processing | ▼ 7 | 7588 | Backward |
| Transport | ▼ 1 | 2450 | Forward |
| Construction | ▼ 1 | 3954 | Backward |
| Retail | ▼ 1 | 4066 | Demand |
Fiscal room
local units, billions, illustrative
Fig.Shock propagation model: example names and illustrative values, not a record or a live system.
Trade and external shocks: how the risk develops.
Exports, imports and macroeconomic exposure. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Commodity dependence amplifies swings
Economies that rely on a few commodity exports see income, the exchange rate and public revenue rise and fall with world prices.
Capital flows reverse suddenly
Foreign investors withdraw quickly when global risk appetite falls, raising borrowing costs and pressuring currencies.
Shocks spread through finance
Currency depreciation raises the local cost of foreign-currency debt, weakening firms, banks and governments at the same time.
Households absorb the impact
Higher import prices for food and fuel, job losses and lower remittances fall hardest on poor households.
Activity and hazards in Africa.
Night lights, population density and true-colour imagery over Africa, from NASA GIBS. Each layer carries its own date.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Activity and hazards, for this page
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Loading the latest NASA imagery.
Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.
Activity and hazards, framed on Africa.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA HLS S30Sources and licences
- We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
- VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
- Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
- © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). ODbL
- Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into hexagonal cells where shown (modified). NASA open data
- Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
- Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- Live: NASA EONET Events are indicative, not authority warnings.
- Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
- NASA GIBS: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).
- Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
- Optional layers (7 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.
Layers and dates
- Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC · 12 Oct 2026
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024
- Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
External shocks enter economies through food and energy prices.
Shock analyses are designed for the Scenario and Stress-Test series. Fiscal and external risks connect to the work of The Global Risks Alliance (GRA) within its boundaries.
- Balance of payments analyses.
- Case studies of past shocks.
A shock through an input-output economy.
A loss of output in one sector propagates through the technical coefficients to its suppliers and customers, and recovers at the rate you set; the coefficients are teaching values, not national accounts. Teaching model with stated illustrative values, not a prediction. The map on this page shows Africa; the model itself is not tied to a place.
Controls
- Sector hit first (position in the list)
- 0
- Size of the shock
- 30% of its output
- Duration of the shock
- 30 days
- Recovery rate
- 0.08 per day
- Days simulated
- 180 days
Readouts
- Output lost over the run
- 0.57% of a year's output
- Total over direct (multiplier)
- 1.81 times
- Most affected other sector
- Transport and ports
- Its peak inoperability
- 5.6%
Numbers, methods and sources
| Sector | Peak inoperability (%) | Output weight (%) |
|---|---|---|
| Agriculture | 31.74 | 10.0 |
| Energy | 0.04 | 21.3 |
| Manufacturing | 3.58 | 17.1 |
| Transport and ports | 5.60 | 21.3 |
| Trade | 0.27 | 16.7 |
| Services | 0.88 | 13.7 |
Methods
- Input-output analysis Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press
- Inoperability input-output model Haimes and Jiang (2001), Journal of Infrastructure Systems 7
- Dynamic inoperability and recovery Lian and Haimes (2006), Systems Engineering 9
- Uncertainty fan (parameter Monte Carlo) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
- One-at-a-time sensitivity (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Data
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page's map can draw:
- Seaports Natural Earth
- Maritime chokepoints Nexus (named straits and canals at their published coordinates)
- Railways Natural Earth
- Major roads Natural Earth
Across the six pillars, led by Nexus Consortium
- Experiments Labs
- Built in Economic Development in Foundry
- Tested at Economic Development in Universe
- Codified in Finance, Insurance and the Economy in Standards
- Published in Economic Development in Reports
- Taught in Faculty of Finance and Economics in Academy
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Commodity export concentration | share of top commodities in exports | annual | Trade data | Published statistics |
| Terms of trade | index | quarterly | Price and trade statistics | Published statistics |
| International reserves | months of imports | monthly | Central bank data | Published statistics |
| External debt | percent of GDP | quarterly | External debt statistics | Published statistics |
| Portfolio capital flows | currency units | monthly | Balance of payments | Published statistics |
| Remittance inflows | percent of GDP | annual | Balance of payments | Published statistics |
Model trade and external shocks as a system. Run the cascade.
Assembled from the Nexus Standards area profile Financial and economic risk standards: the hazards it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
Hazards
- Sea-level rise
- Dam failure
- Coastal flood (set off downstream)
- Storm surge (set off downstream)
- High-tide flooding (set off downstream)
- Coastal erosion (set off downstream)
- Saltwater intrusion (set off downstream)
- Estuary flood (set off downstream)
- River flood (set off downstream)
- Flash flood (set off downstream)
- Mass displacement (set off downstream)
- Coastal habitat squeeze (set off downstream)
- Wetland loss (set off downstream)
- Mangrove loss (set off downstream)
- Groundwater flood (set off downstream)
- Widespread power outage (set off downstream)
- Water supply shortfall (set off downstream)
- Climate-driven migration and relocation (set off downstream)
Systems and couplings
Controls
NS-0Constitution and principlesNS-3Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-9Contextual UNIs (deployments, instances, programme instances)NS-10Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)NS-11Verification and monitoring (evidence, attestations, zero-trust conformance observation)NS-14Conformance and crosswalk to external standardsNRS-H59Hazard family: Economic shocks and governance failure (NHS-1 soc.economic)NRS-H113Hazard family: Financial-system fragility (NHS-1 soc.financial-system)NRS-H118Hazard family: Organised crime and illicit economies (NHS-1 soc.crime)NRS-H114Hazard family: Macroeconomic and fiscal shocks (NHS-1 soc.macro-fiscal)NRS-H61Hazard family: Cascading failure (NHS-1 sys.cascade)NRS-U27Universe platform profile: Sovereign Capital Nexus
Observation
- IMF data services (WEO, IFS, FSI via SDMX) (listed for reference)
- BIS Data Portal (credit, debt service, property prices, banking statistics) (listed for reference)
- World Bank Open Data and World Development Indicators API (listed for reference)
- OECD Data Explorer (SDMX API) (listed for reference)
- Macroeconomic Dashboard
- Debt service as a proportion of exports of goods and services
- Financial Soundness Indicators
Example geography
- Western Europe: 152 hexagonal cells
- Night lights tonight, outages (VIIRS Day/Night Band), NASA GIBS
- Surface water through cloud, 30 m (OPERA DSWx-S1 radar), NASA GIBS
- Rain rate, last half hour (IMERG), NASA GIBS
- Vegetation disturbance alerts, 30 m (OPERA DIST-ALERT), NASA GIBS
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| IMF International Financial Statistics and Balance of Payments data | Reserves, flows and external accounts | Public, IMF terms |
| World Bank International Debt Statistics | External debt of low and middle-income countries | Open, CC BY 4.0 |
| UNCTAD State of Commodity Dependence | Commodity dependence by country | Public, UNCTAD terms |
| World Bank Commodity Price Data (Pink Sheet) | Monthly commodity prices | Open, CC BY 4.0 |
| KNOMAD remittance data | Remittance flows and costs | Open, World Bank terms |
How trade and external shocks is modelled, measured and tested.
The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.
Sensitivity analysis
Which inputs move the result for trade and external shocks most, one at a time across their stated ranges.
Who decides, and what the evidence serves.
Economic Development prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Ministries of finance | How to buffer budgets against commodity and financing shocks | Exposure profiles; scenarios |
| Central banks | How much reserves to hold and how to respond to outflows | Reserve adequacy analyses |
| International financial institutions | Which countries need precautionary support | Exposure and debt evidence |
Outputs this topic produces
- External exposure profiles by country
- Shock transmission scenarios
- Reserve and debt adequacy analyses
- Evidence notes for crisis preparedness
What experts ask about external shocks.
- How concentrated are a country's exports by product and destination?
- How dependent is it on imported food, fuel and inputs?
- How do global interest rates and capital flows affect its currency and borrowing costs?
- How do remittances and tourism respond to shocks in source countries?
- What buffers, such as reserves, fiscal space and flexible exchange rates, are available?
How external shocks transmit.
Commodity-exporting economies face terms-of-trade shocks: when prices of their main exports fall, export revenues, public revenues and growth fall with them. Commodity price cycles have been a recurrent source of boom and bust, and windfalls in good times can encourage spending that is hard to reverse.
Financial channels can be fast. When global interest rates rise or investors become risk-averse, capital may leave developing economies, currencies weaken, and debts denominated in foreign currency become more expensive to service. These pressures can coincide with higher import prices.
Real channels include falls in demand for exports, tourism and remittances during global downturns, and supply disruptions that raise import costs.
Methods and their limits.
- 01
Macroeconomic models
Models of how external variables affect output, prices and balances, using econometrics. Structural change can make past relationships unreliable.
- 02
Trade exposure analysis
Measures of export and import concentration. Data on services and informal trade are weak.
- 03
Balance-of-payments analysis
Tracking current and capital account flows. Data are revised and some flows are unrecorded.
- 04
Scenario analysis
Testing combined shocks to commodity prices, demand and interest rates. Scenarios illustrate, they do not forecast.
External shocks interact with domestic conditions, so similar shocks have different effects in different economies.
How it is studied, and what the methods cannot say.
- 01EconometricsShock transmission models · Panel analysis across countries · Nowcasting with alternative dataApplied here
- 02Network science and contagionProduct space analysis · Input-output shock propagation · Financial interconnectednessApplied here
- 03Economics and development economicsGrowth diagnostics · Structural transformation analysis · Distributional incidenceApplied here
- 04Complex systems and agent-based modellingAgent-based macroeconomic scenarios · Feedback in fiscal and financial stressApplied here
Where this page's references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
Questions and answers.
What are terms of trade?
What is a sudden stop?
Why does commodity dependence matter?
Can external shocks be avoided?
Does the platform forecast commodity prices?
Are remittances covered?
Which economies are most exposed?
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