Economic model, climate model, and combined integrated forecast for the
Trucking sector under the default scenario envelope
(North America · 12-24 months · Delayed transition).
Economic model
Economic Outlook
IMF WEO baseline with CE industry adjustments anchors the economic baseline for North America. For trucking, global baseline growth, inflation, and policy context under fragmented policy conditions over the 12-24 months horizon.
GDP Growth
2.47%
conf 65%
Inflation
4.63%
conf 60%
Capital Formation
1.54%
conf 57%
Labor Tightness
0.72 index
conf 55%
Climate model
Climate Outlook
CMIP6 ensemble summary with CE near-term pathway overlays anchors the climate risk lens for North America. Under delayed transition conditions, long-run scenario diversity and physical risk framing is most relevant for trucking exposure.
Physical Hazard
0.71 index
conf 67%
Transition Pressure
0.89 index
conf 62%
Adaptive Resilience
0.38 index
conf 56%
Sector GHG Share
5.0%
of global emissions
Combined model
Integrated Forecast
trucking in North America faces elevated climate-linked pressure, but still retains selective growth potential if capital is redirected toward resilience and supply-chain hardening.
Pressure Index
0.76
Resilience Index
0.51
Opportunity Index
0.56
Confidence Index
0.65
Emissions accounting
Sector GHG Contribution
This sector accounts for 5.0% of global greenhouse gas
emissions. This is the causal input that modulates transition pressure in the climate model above —
higher-emitting sectors face larger regulatory and market transition obligations under any pathway.
Global GHG Share
5.0%
Decarbonisation Cost
0.8 index
Regulatory Exposure
0.76 index
BAU Trajectory
Rising
Paris Alignment Gap
Large
Primary emission sources:
diesel HGV (heavy goods vehicle) combustion · urban delivery van fleet · refrigerated trailer operations
EU CO2 standards for HGVs mandate -45% by 2030, -90% by 2040 vs 2019 baseline. BEV HGV range remains limited (400–500 km maximum) constraining long-haul electrification. H2 fuel-cell trucks emerging for long-haul by 2030. Delayed transition embeds diesel fleet stranding risk and accelerated carbon price impact. Last-mile demand growth from e-commerce adds structural upward pressure.
Sector indicators
Sector-Native KPIs
Operational and financial indicators specific to Trucking.
These contextualise the macro signals (GDP growth, inflation) with sector-level activity data.
Freight Tonne Km Growth Pct
3.6
Diesel Cost Index
0.78
Ev Hgv Range Km
420
Fleet Ev Penetration Pct
2.8
Eu Co2 Standard Exposure
0.82
Stranded Diesel Fleet Index
0.62
Last Mile Demand Index
0.74
H2 Readiness Index
0.18
GHG gas mix
Emissions by Gas Type
CO2 dominant from diesel combustion. N2O from diesel catalytic converters. CH4 from incomplete combustion on older engines and CNG trucks. F-gas from refrigerated trailer units. Sources: IEA Road Transport 2024, ICCT European HGV Report 2024.
Company emissions — Scope 1 + 2
Direct & Energy Emissions by Company
Bars colour-coded by decarbonisation pace:
■ fast
■ moderate
■ slow.
Hover for net-zero target.
Carbon intensity
Scope 1 Intensity per $bn Revenue
Thousand tonnes CO₂e per billion USD revenue — the operational carbon cost of generating $1bn of
sector revenue. Lower is better. Colour = decarbonisation pace.
Supply-chain footprint
Scope 3 (Value-Chain) Emissions
Estimated Scope 3 emissions — upstream supply chain, sold-product end use, and downstream
processing. Company disclosures or IPCC Tier 2 estimates. Note the order-of-magnitude gap
between fossil producers and clean-energy companies.
Emissions intensity — pathway convergence
GHG Intensity per Unit of GDP — 2025–2045
Combined energy and carbon intensity index (base = 100 in 2025), derived from
the Kaya identity: EI index × CI index ÷ 100.
Faster convergence toward zero = stronger decoupling of output from emissions.
Source: CE Kaya decomposition calibrated to IPCC AR6 WG3 Ch. 3 & IEA NZE 2050.
Accelerated Transition achieves the steepest intensity reduction.
The gap between pathways by 2045 represents avoided emissions risk.
Transmission analysis
How Climate Risk Reaches Trucking
Operating pressure
0.72
Financing pressure
0.7
Supply-chain pressure
0.79
For trucking in North America, climate stress matters economically through operations, financing, and supplier reliability rather than through a single aggregate damage number.
Facility disruption
Flood and heat events slow throughput while labor tightness and energy costs reduce utilization.
Impact score0.74
Affectsthroughput, downtime, labor productivity
Supplier fragility
Trade fragmentation and localized climate shocks increase inventory and lead-time volatility.
Impact score0.71
Affectslead times, working capital, supplier diversification
Guidance
Analyst Guidance
Priority
Prioritise green hydrogen pathway feasibility studies for high-temperature process heat.
Priority
Reprice capex hurdle rates to reflect carbon-cost pass-through under $150/tCO₂.
Priority
Accelerate supply-chain reshoring to reduce exposure to climate-fragile logistics corridors.
Watch
CBAM certificate costs materially affecting competitiveness
Watch
Forced asset idling from acute extreme-weather events
Watch
Stranded-asset risk in fossil-fuel-dependent process equipment
Watch
Near-term regulatory announcement risk (COP outcomes, domestic carbon-price reviews)
Rationale
For trucking in North America, climate stress matters economically through operations, financing, and supplier reliability rather than through a single aggregate damage number.
Rationale
Primary operating pressure: 0.720
Rationale
Primary financing pressure: 0.700
Rationale
Composite pressure index: 0.760 (high band)
Rationale
Climate pathway: Delayed transition → delayed profile
Natural Capital Dependencies
Ecosystem service dependencies and projected depletion risk for the Trucking sector under a Delayed transition pathway (TNFD LEAP matrix, FAO data).
Dependency & depletion risk
| Ecosystem service | Dependency score | Depletion risk / decade | Dependency bar |
|---|
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Supply Chain Topology Risk
Network propagation of supply disruptions from the Trucking sector. Edges weighted by inter-sector dependency, geographic concentration and substitutability (OECD TiVA 2023, IMF GSCPI 2024).
Propagation summary
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Affected nodes & tier exposures
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