Start here
Is this useful for you?
Yes—if your work requires you to explain CBAM's economic effects, decide which commercial exposures deserve deeper analysis, challenge a headline, or prepare a sourced management/client briefing. No—if you need an individual company liability, supplier quote, legal conclusion or deterministic forecast. Those require company data and separate tools.
EU importer
Useful when: Separate macro headlines from your product-level exposure and build bounded year scenarios.
Next action: Check CN scope, annual quantity, installation emissions, carbon price paid and the phase-in year before using the cost calculator.
Boundary: Do not convert an EU value-added percentage into a certificate obligation.
Procurement / supply chain
Useful when: Prioritise metal-, fertiliser- and cement-intensive inputs where indirect price transmission deserves supplier evidence.
Next action: Map covered material content, supplier origin, emissions-data route, contract reset dates and substitutes.
Boundary: A sector-average price change is not a supplier quote or pass-through rate.
Finance / strategy
Useful when: Build downside/base/upside sensitivities around carbon price, free-allocation phase-out, pass-through and sourcing response.
Next action: Keep model assumptions in the management deck and separate CBAM cash timing from P&L incidence.
Boundary: The OECD −0.29% is not a company revenue or margin forecast.
Manufacturer
Useful when: Identify where imported covered inputs and export exposure pull competitiveness in different directions.
Next action: Trace covered materials into products, compare domestic/import options and test export-market exposure separately.
Boundary: CBAM protection at the border does not guarantee export competitiveness.
Adviser / consultant
Useful when: Use the model cards and claim appendix to cite results without dropping the baseline, population or limitation.
Next action: State model, year, metric, comparison and excluded behaviour beside every percentage.
Boundary: Do not average percentages from unlike models or call an exposure index GDP loss.
Policy / association
Useful when: Compare aggregate, sector, country, employment and consumer channels while keeping design options distinct.
Next action: Request sensitivity ranges and disaggregated evidence before converting a directional result into a policy claim.
Boundary: The sources do not prove deindustrialisation, general inflation or a fixed jobs effect.
What you can use this for
- ✓ Internal or client briefing with source-visible caveats
- ✓ Sector and supply-chain risk prioritisation
- ✓ Scenario design and assumption challenge
- ✓ Procurement and finance question lists
- ✓ Policy/model comparison
- ✓ Deciding what company-specific evidence to collect next
Executive answer
What the evidence supports—in six conclusions
No observed total
Official data do not yet identify a realised causal EU-wide GDP, jobs or price effectC-001
−0.29%
OECD modelled all-industry EU value added in its fully implemented Full Policy MixC-004
83%
of the modelled European value-added loss sits in non-covered sectorsC-006
0–0.6%
range for most OECD-modelled CBAM-induced sector price changesC-007
−11.9%
JRC's historical Option 4 aggregate CBAM-sector import change versus baselineC-012
2034
when the adopted CBAM-sector free-allocation phase-out reaches zeroC-017
The practical message is more useful than either “CBAM barely matters” or “CBAM will transform everything.” Aggregate model effects are small, but cost, trade and value-added channels are uneven. Directly covered sectors receive some leakage protection while still facing free-allocation withdrawal, carbon costs, imported-input costs and export-market pressure. Downstream sectors can carry a large share of the aggregate effect because they are a much larger part of the economy.
Part 1
What is observed, modelled and still unknown?
The definitive regime started in 2026, but the strongest official quantitative record still combines transitional reporting data, adopted legal schedules and ex-ante models. The Commission can report quantities, Registry activity and estimates; those observations do not isolate what CBAM caused in European output, prices or jobs.C-001
| Evidence class | Available now | Useful question | Not supported |
|---|---|---|---|
| Observed official data boundary | Trade quantities, Registry records, estimates, operational counts | Where is reported exposure concentrated? | Causal GDP, price, output or jobs effects |
| Institutional model scenario | OECD supply-chain and leakage simulations | How can effects propagate under a defined policy case? | What will happen with certainty |
| Official model scenario | Commission/JRC proposal-stage option modelling | How did policy designs compare in the 2030 assessment? | A current-law or realised-outcome forecast |
| Adopted law | 2026–2034 free-allocation/CBAM ramp | How far is a year from full implementation? | A company cost without inputs |
| Company-specific evidence | Goods, quantities, installation emissions, carbon price paid, contracts | What is our operational and commercial exposure? | Available from a macro model alone |
For the observed quantitative baseline, use CBAM by the Numbers. This page owns the interpretation of economic models—not the Registry dataset itself.
Part 2
Four evidence outputs that answer different questions
Model percentages become misleading when their contracts disappear. The OECD reports value added, not GDP. The Commission's 2021 assessment reports a 2030 Fit for 55 option comparison. The World Bank Economic Exposure Index is estimated excess carbon payments divided by GDP—not a GDP-loss forecast. The Commission's 2025 downstream assessment measures marginal proposal effects against a baseline that already contains CBAM.C-002C-018
OECD supply-chain model (2025)
Institutional model scenario- Metric
- Value added
- Horizon
- Fully implemented policy applied immediately to 2019
- Baseline
- 2019 global economy; EU ETS about €25/t; 2019 free allocation; no CBAM
- Policy case
- About €80/t, relevant free allowances removed, CBAM added
- Useful for
- Supply-chain propagation, sector/country direction, leakage scenarios
- Critical limit
- Static short-run experiment; no long-run adaptation, backfilling or future foreign policy
JRC-GEM-E3 impact assessment (2021)
Official model scenario- Metric
- GDP, output, trade, employment and prices
- Horizon
- 2030 option scenarios
- Baseline
- EU Reference Scenario 2020 baseline; MIX and MIX-full auctioning are separate policy comparators
- Policy case
- Six proposal-stage CBAM design options plus MIX comparisons
- Useful for
- Macro, import, employment, consumer-price and distributional sensitivities
- Critical limit
- Historical proposal-stage model; options do not map one-to-one to final implementation
World Bank exposure indices (2025)
Institutional exposure metric- Metric
- Exposure index
- Horizon
- Historical exposure screen
- Baseline
- 2017 intensity, 2022 trade/GDP, notional USD100/t
- Policy case
- Estimated excess carbon payment relative to EU producers
- Useful for
- Testing whether a country/sector deserves deeper analysis
- Critical limit
- Not a CGE model; no GDP change, adaptation, pass-through, output or welfare
JRC-GEM-E3 downstream assessment (2025)
Official model scenario- Metric
- Marginal downstream-extension effects
- Horizon
- 2030 and 2035 proposal options
- Baseline
- Fit for 55, REPowerEU, existing CBAM/free-allocation phase-out and adopted Omnibus I simplifications
- Policy case
- Three hypothetical extensions of CBAM to downstream goods
- Useful for
- Testing the additional effect of extending scope—not the total effect of current CBAM
- Critical limit
- Proposal-stage marginal comparison; broad sectors; options are not adopted law
Part 3
The EU-wide headline is small—but easy to misuse
In the OECD model, the Full Policy Mix leaves aggregate EU all-industry value added at −0.29% relative to the 2019 baseline—the same displayed aggregate as removing relevant free allowances without CBAM. That does not make CBAM economically irrelevant: the mechanism improves some covered-sector outcomes while indirect losses spread across much larger non-covered sectors.C-004
Figure 1
Institutional model scenarioThe aggregate stays small while covered-sector effects move
Higher ETS price
Higher EU ETS price + non-EITE free-allocation removal
Remove covered-sector free allocation
Previous step + removal for CBAM industries
Add CBAM
Full Policy Mix: previous step + CBAM
Source: OECD Working Paper 2025/02, pp. 38–40. Percentage change in EU value added from a 2019 baseline. Revenue recycling is illustrative, not adopted allocation. Fully implemented policy is applied to 2019; this is not a 2034 forecast. C-003 C-004 C-005
The Commission's earlier JRC-GEM-E3 assessment also produced small macro differences across options: EU-27 GDP was approximately −0.22% to −0.23% versus baseline in 2030. But the Commission explicitly linked that contraction mainly to the wider MIX constraints required to meet the 2030 climate target—not to a standalone CBAM shock.C-011
Part 4
The supply chain is the economically important unit
CBAM is imposed at the import boundary, but economic incidence can travel through covered inputs, domestic production costs, substitution, demand and exports. OECD estimates that non-covered sectors account for 83% of the European value-added loss in its free-allocation-removal-plus-CBAM decomposition.C-006
Figure 2
Institutional model scenarioMost modelled value-added loss sits outside direct CBAM coverage
Carbon and free-allocation change
Direct cost pressure in EU ETS sectors
CBAM at the border
Import costs and sourcing incentives change
Input prices propagate
Metals reach fabricated goods, machinery and vehicles
Demand and substitution respond
Value added moves across a much larger economy
Source: OECD Working Paper 2025/02, pp. 42–44. The 83% decomposition and the −0.29% all-industry result use related but not identical comparison denominators. Do not combine them into one causal statistic. C-006 C-007
Average sector price increases caused by introducing CBAM are mostly modelled between 0% and 0.6%. Basic metals and fabricated metals show larger effects, followed by electrical equipment, machinery and motor vehicles. The model assumes 100% cost pass-through; the values are not observed supplier pass-through coefficients. Use them to prioritise metal-intensive bills of material for evidence collection.C-007
Figure 6
Historical literature screenA historical product screen widened sharply at the higher carbon price
Source: Commission SWD(2021) 643, Table 7, adapted from Stede et al. (2021). Share of 2019 EU manufacturing value added meeting both a cost increase above 5% of gross value added and trade intensity of at least 10%. This is a risk screen, not observed relocation or current scope. C-015
The historical product-level screen is deliberately separate from the OECD model. It asks which 2019 manufacturing product groups cross a leakage-risk threshold at two carbon prices. It does not show that 13% or 26% of manufacturing relocated, nor that those goods are current CBAM scope.
Part 5
Sector effects depend on protection, inputs and export exposure
“Covered by CBAM” is not the same as “protected from every economic channel.” The removal of free allocation raises costs for EU producers. CBAM can reduce import-side leakage, but covered producers may consume covered imports and remain exposed on export markets. OECD's modelled EU covered-sector value-added changes run from roughly −0.01% to −1.44%; it cuts the basic-metals loss from almost −3% without CBAM to around −1%, but non-metallic minerals receive less protection because only part of the broad model sector is covered.C-008
| Sector position | Primary economic channel | Work question | Evidence needed next |
|---|---|---|---|
| Basic metals / minerals | Free-allocation withdrawal, carbon cost, import competition | Does CBAM offset the cost change in EU and export markets? | Installation intensity, output mix, trade share, free-allocation path |
| Fabricated metals | Own covered goods plus higher basic-metal input costs | How much exposure is direct versus purchased-input? | Bill of materials, sourcing, contract pass-through, product scope |
| Machinery / vehicles / electrical equipment | Indirect metal-input propagation | Where can input cost be absorbed, substituted or repriced? | Material share, supplier quote, reset dates, alternatives |
| Agriculture / food | Fertiliser-input price channel | Is fertiliser material to unit economics? | Input intensity, origin, seasonal purchasing and substitution |
| Services | Diffuse indirect demand and input-output effects | Is exposure material enough to analyse? | Spend map before deep CBAM work |
For current legal scope, use the goods checker and the current-versus-proposed downstream guide. Model sectors are broader than CN-coded legal scope.
Part 6
Import protection does not settle export competitiveness
The Commission's 2021 preferred transitional Option 4 modelled aggregate CBAM-sector imports 11.9% below baseline in 2030. Fertilisers showed the largest selected sector change at −26.41%; aluminium was −4.41%. The same assessment warned that resource shuffling and cleaner foreign production could materially reduce those import effects.C-012
Figure 3
Official model scenarioThe 2021 preferred-option model showed very different import effects by sector
Source: European Commission SWD(2021) 643, Table 11, report p. 65. EU-27 imports in 2030, percentage change from baseline under historical Option 4. The model excludes resource shuffling and exporter adaptation; the report says those behaviours could materially limit reductions. C-012
The import result does not mean equivalent EU production growth. Demand can fall, inputs can be substituted and trade can reroute. The assessment also found weaker CBAM-sector export performance versus the MIX scenario, driven mainly by free-allocation loss and higher domestic prices. CBAM prices imports; it does not automatically compensate EU exports in third-country markets.
Resource shuffling can change the sign
Official model scenarioThe Commission tested a stylised case in which cleaner production is directed to the EU while more emissions-intensive output serves other markets. The sensitivity sharply reduced the import effect and reversed it for cement and aluminium.C-021
| Sector | Without shuffling | With shuffling |
|---|---|---|
| Iron and steel | -11.98% | -2.38% |
| Cement | -15.12% | +6.97% |
| Aluminium | -4.41% | +1.75% |
Option 4 headline
€9.1bn
total modelled 2030 revenue, of which €2.1bn is border-certificate revenue; most is additional EU ETS auctioning.
Part 7
What the newer 2025 downstream model adds—and does not add
The Commission's 2025 downstream-extension assessment uses an updated JRC-GEM-E3 model and a baseline that already contains Fit for 55, REPowerEU, existing CBAM and the adopted Omnibus I simplifications. It therefore measures only the additional effect of three proposed downstream extensions. Every value in the table below is a 2035 result. It is not a newer estimate of total CBAM impact and the options are not adopted law.
| Proposal option | 2035 EU fabricated-metal output | 2035 downstream imports | 2035 basic-material imports |
|---|---|---|---|
| Option 1 | +0.07% | -0.08% | +0.03% |
| Option 2 | +0.16% | -0.29% | +0.09% |
| Option 3 | +0.19% | -0.35% | +0.11% |
The 2035 results explain an apparent contradiction: downstream imports can decline while basic-material imports rise slightly, as higher protected EU downstream output increases demand for inputs.C-023
Part 8
Jobs and prices are small in aggregate, uneven by category
JRC-GEM-E3 described overall employment effects as limited, but its Option 4 sector results do not share one sign. Covered sectors aggregate to +0.32%, while downstream sectors aggregate to −0.43%; iron and steel is +0.22%, cement −0.48%, fertilisers +2.59% and aluminium +0.89% in that option.C-013
Figure 4
Official model scenarioEmployment signs differ across sectors—even inside one model option
Source: European Commission SWD(2021) 643, Table 12, report pp. 69–70. EU-27 employment in 2030, percentage change from baseline under historical Option 4. These are sector aggregates under an imperfect-labour-market assumption, not headcount forecasts. C-013
Selected consumer-price effects were also small in the historical option comparison. Relative to full auctioning without CBAM, Option 4 ranges from no displayed change for heating/cooking appliances to +0.27% for fuels and power. This is not total inflation: it isolates one policy design comparison inside the 2030 assessment.C-014
Figure 5
Official model scenarioSelected consumer-price changes were small in the historical option comparison
Source: European Commission SWD(2021) 643, Table 13, report p. 72. Option 4 relative to MIX-full auctioning without CBAM—not total inflation relative to current prices. C-014
The linked EUROMOD analysis described the overall distributional effect as regressive but very small, with differences across countries, income deciles and policy options. That finding is useful for deciding whether distributional sensitivity belongs in a policy brief. It is not precise enough to estimate a household bill today.
Part 9
Europe does not receive one uniform sector effect
OECD's country decomposition covers value added in CBAM industries—not whole-country GDP. Results are mostly between +0.1% and −6%, with more pronounced adverse effects in Bulgaria, Cyprus, Estonia, Greece and Poland than in EU14 countries. Revenue recycling is excluded from this decomposition.C-009
Why the result can differ
- Emission intensity of domestic covered production
- Covered sectors' share of national value added
- Import dependence and supplier carbon intensity
- Export exposure outside the EU
- Input-output structure and substitution
- Revenue recycling and other policy responses
What a country brief still needs
- Current trade and production year
- Product/CN detail below broad model sectors
- Actual installation and supplier emissions
- Carbon pricing and eligible payment evidence
- Investment/adaptation pipeline
- Employment level and regional concentration
Do not publish “Country X loses 6% of GDP.” The OECD figure is a change in covered-industry value added. For external-country exposure metrics and observed origin volumes, keep the World Bank and Commission populations separately labelled.
Part 10
The environmental result depends on the counterfactual
In OECD's all-industry comparison, higher ETS prices produce a 7.4% leakage rate. Removing relevant free allowances without CBAM raises that to 19.2%. Adding CBAM changes it to −12.4% because non-EU emissions also fall in the model. Adding CBAM increases global emissions reductions by 36% against the no-CBAM policy step—not against a no-policy world.C-010
Figure 7
Institutional model scenarioIn the OECD model, CBAM reverses the non-EU emissions response
Scenario 01
Higher EU ETS price
- EU emissions
- -161 Mt
- Non-EU emissions
- +12 Mt
- Leakage rate
- +7.4%
Scenario 02
Previous step + free-allocation removal
- EU emissions
- -175 Mt
- Non-EU emissions
- +34 Mt
- Leakage rate
- +19.2%
Scenario 03
Full Policy Mix: previous step + CBAM
- EU emissions
- -171 Mt
- Non-EU emissions
- -21 Mt
- Leakage rate
- -12.4%
Source: OECD Working Paper 2025/02, Table 5, p. 41. All-industry model results versus the 2019 baseline. Negative leakage means non-EU emissions also fall in the model; it is not an observed 2026 rate. C-010
The mechanism is trade reallocation towards less emissions-intensive suppliers. The result depends on historical intensities, modelled substitution and the absence of some future adaptations. It should support a counterfactual discussion, not a claim that a measured 2026 leakage rate is negative.
Part 11
A full-policy scenario is not the first definitive year
Most compelling model results represent full policy implementation. Adopted law phases CBAM in as the corresponding EU ETS free allocation falls: 97.5% is retained in 2026, 51.5% in 2030 and 0% in 2034. The CBAM-covered shares are the complements—2.5%, 48.5% and 100%.C-017
Figure 8
Adopted lawFully implemented model scenarios are not the 2026 policy state
2026
2.5%
covered share
2027
5%
covered share
2028
10%
covered share
2029
22.5%
covered share
2030
48.5%
covered share
2031
61%
covered share
2032
73.5%
covered share
2033
86%
covered share
2034
100%
covered share
Source: Directive (EU) 2023/959, Article 10a(1a) amendment. CBAM-covered share is the derived complement of the legal free-allocation share. This is phase-in context, not a liability estimate. C-017
This matters twice. First, the cost channel grows over time even if emissions and certificate prices were unchanged. Second, firms, suppliers and governments can adapt during the ramp, while OECD deliberately applies full implementation immediately to the 2019 economy. Use the phase-in guide for the legal schedule and the cost calculator for a deterministic input-based planning estimate.
Part 12
Turn model evidence into work—not a headline
EU importer
Decision use: Separate macro headlines from your product-level exposure and build bounded year scenarios.
Action: Check CN scope, annual quantity, installation emissions, carbon price paid and the phase-in year before using the cost calculator.
Stop line: Do not convert an EU value-added percentage into a certificate obligation.
Procurement / supply chain
Decision use: Prioritise metal-, fertiliser- and cement-intensive inputs where indirect price transmission deserves supplier evidence.
Action: Map covered material content, supplier origin, emissions-data route, contract reset dates and substitutes.
Stop line: A sector-average price change is not a supplier quote or pass-through rate.
Finance / strategy
Decision use: Build downside/base/upside sensitivities around carbon price, free-allocation phase-out, pass-through and sourcing response.
Action: Keep model assumptions in the management deck and separate CBAM cash timing from P&L incidence.
Stop line: The OECD −0.29% is not a company revenue or margin forecast.
Manufacturer
Decision use: Identify where imported covered inputs and export exposure pull competitiveness in different directions.
Action: Trace covered materials into products, compare domestic/import options and test export-market exposure separately.
Stop line: CBAM protection at the border does not guarantee export competitiveness.
Adviser / consultant
Decision use: Use the model cards and claim appendix to cite results without dropping the baseline, population or limitation.
Action: State model, year, metric, comparison and excluded behaviour beside every percentage.
Stop line: Do not average percentages from unlike models or call an exposure index GDP loss.
Policy / association
Decision use: Compare aggregate, sector, country, employment and consumer channels while keeping design options distinct.
Action: Request sensitivity ranges and disaggregated evidence before converting a directional result into a policy claim.
Stop line: The sources do not prove deindustrialisation, general inflation or a fixed jobs effect.
Company analysis: minimum evidence pack
- CN code and current-law scope decision
- Annual and shipment quantities by product
- Installation-specific embedded emissions route
- Default fallback and evidence status
- Eligible carbon price actually paid
- Certificate price scenario and year factor
- Supplier/contract pass-through terms
- Substitution, demand and export exposure
Part 13
Briefing-ready summary
Safe to share with the model labels attached
- No official dataset yet isolates a realised EU-wide causal GDP, jobs or price effect from CBAM.
- OECD's static short-run Full Policy Mix models all-industry EU value added at −0.29% against a 2019 baseline; that is not a 2034 forecast.
- Non-covered sectors account for 83% of the modelled European value-added loss, showing why downstream input effects matter.
- The 2021 Commission assessment found small EU-wide macro differences between policy options but material variation in sector imports and employment.
- Full-implementation results should not be presented as 2026 conditions because the free-allocation/CBAM transition runs to 2034.
- Use model results to prioritise evidence and scenarios; use company goods, emissions, contracts and prices for company decisions.
Shareable wording
- “The OECD model estimates…”
- “Against the 2019 baseline…”
- “Across EU CBAM industries…”
- “Under the Commission's historical Option 4…”
- “This supports a sensitivity, not a forecast.”
What not to repeat
- “CBAM will cut EU GDP by 0.29%.”
- “83% of CBAM costs fall on downstream firms.”
- “Imports will fall 12%.”
- “CBAM creates jobs in covered sectors.”
- “Exposure equal to 0.5% of GDP means GDP falls 0.5%.”
Part 14
How this report was built and where it stops
The quantitative spine is the OECD 2025 supply-chain paper and the Commission's 2021 impact assessment. Source PDFs were downloaded from official institutional hosts, checksum-frozen and extracted locally. Tables with difficult text-layer wrapping were checked against rendered source pages. CBAM Pulse created new visual treatments rather than copying institutional chart artwork.
Every promoted number carries a metric, unit, baseline, policy case, population or horizon, evidence class, locator and limitation through the adjacent text, figure note or claim appendix. Commas/decimal points were normalised for display; no hidden precision was created. OECD prose rounding of −1.06% is preserved rather than silently replacing it with Table 6's −1.07%.
The models are not averaged. Value added is not relabelled GDP. The World Bank exposure index is not relabelled GDP loss. Broad model sectors are not relabelled current legal CN scope. Historical Option 4 is not relabelled the final 2026 mechanism. Modelled emissions/leakage are not relabelled observations.
GSC showed no 90-day query/page rows containing “economic” or “impact” at the research cut-off. The article therefore exists as a useful, shareable professional reference and canonical evidence interpretation—not because current first-party search demand proves the topic. Update triggers include a Commission ex-post economic evaluation, a materially updated institutional model, realised definitive-regime sector evidence, or a legal phase-in change.
Part 15
Claim-level evidence and limitations
Part 16
Primary source register
OECD: The Potential Effects of the EU CBAM Along the Supply Chain
Use here: Enhanced static input-output model: value added, prices, supply chains, country effects and leakage.
Locator: Working Paper 2025/02, PDF pp. 32–51 · checked 2026-08-10
Open sourceEuropean Commission: SWD(2021) 643 final — CBAM impact assessment
Use here: Historical JRC-GEM-E3 option modelling for GDP, output, trade, employment and prices.
Locator: Part 1, report pp. 45–72, Tables 7 and 10–13; Part 2, Annex 10, Table 10-5, report p. 113/PDF p. 114 · checked 2026-08-10
Open sourceWorld Bank: CBAM Exposure Indices — Methodological Note
Use here: Metric-boundary control: an exposure index is not a GDP-loss forecast.
Locator: June 2025, §§2.2, 3.4 and limitations · checked 2026-08-10
Open sourceEuropean Commission: COM(2025) 783 final — report on application of the CBAM Regulation
Use here: Observed-data boundary: official statistics and estimates, but no realised causal economic-impact measure.
Locator: Application report and Annex IV Registry evidence · checked 2026-08-10
Open sourceEuropean Union: Directive (EU) 2023/959 — CBAM-sector free-allocation phase-out
Use here: Adopted 2026–2034 phase-in context.
Locator: Article 10a(1a) amendment · checked 2026-08-10
Open sourceEuropean Commission: SWD(2025) 988 final — downstream-extension impact assessment
Use here: Updated JRC-GEM-E3 marginal modelling for proposal-stage downstream extensions against a baseline already containing CBAM and the adopted Omnibus I simplification package.
Locator: Part 1, report pp. 30–43; Tables 4 and 10 · checked 2026-08-10
Open sourcePart 17
Questions readers should ask before using a CBAM impact number
Is −0.29% the predicted effect on EU GDP?
No. It is OECD's modelled change in EU all-industry value added under a fully implemented policy experiment applied to the 2019 economy.
Does a small EU-wide result mean my company has little exposure?
No. Aggregate results can hide sector, product, supplier, contract and export differences. Screen your own goods and input structure.
Can I put these charts in a management or client deck?
Yes, if the figure note and model contract remain attached and you cite the original institutional source. Do not crop away the evidence class or limitation.
Can the sector percentages estimate my prices or margin?
No. They are broad model averages. Use supplier quotes, quantities, emissions, contracts, carbon-price assumptions and the applicable year factor.
Why do the OECD and Commission percentages differ?
They use different models, metrics, baselines, policy definitions and horizons. Difference is expected and does not by itself show that one is wrong.
Does the World Bank Economic Exposure Index show GDP loss?
No. It divides estimated excess carbon payments by GDP as an exposure screen; it does not model GDP contraction.
Are the import reductions observed?
No. They are 2030 JRC-GEM-E3 scenario outputs from the 2021 impact assessment and exclude behaviours that could reduce the effect.
What should I do next?
Check current-law product scope, map quantities and suppliers, request installation evidence, choose a year/carbon-price scenario, and document contract/pass-through assumptions.
For the current operating picture, read The State of CBAM 2026. For official quantities and reporting patterns, use CBAM by the Numbers.