H Heuristics · Research Report № 2025-03 · August 2025

Economics of the
Global Energy Transition

Investment gaps, stranded assets, and the fiscal implications of rapid decarbonization

Author
Hunter Hughes
Institution
H Heuristics
Date
4 August 2025
Report №
2025-03

Executive Summary

A synthesis of investment requirements, asset stranding risk, and sovereign fiscal exposure under accelerated decarbonisation pathways.

$2.0T
Annual Clean Energy Investment (2024)
Global clean energy investment reached ~$2.0 trillion in 2024 according to the IEA — a record, but still less than half the ~$4.5 trillion per year required by 2030 under the Net Zero Emissions (NZE) scenario.
2.0×
EMDE Investment Multiplier Needed
Emerging market and developing economies outside China account for just 15% of global clean energy spending but two-thirds of the world's population. The IEA estimates they need a fourfold increase in clean energy investment by 2030.
$1–4T
Stranded Fossil Fuel Assets
Under a 1.5°C-aligned pathway, between $1 trillion and $4 trillion in fossil fuel reserves and infrastructure face stranding. Carbon Tracker estimates unburnable carbon at 60–80% of declared corporate reserves.
~25
Fiscally Vulnerable Nations
Roughly 25 countries derive more than 20% of government revenue from fossil fuels. For nations such as Iraq, Kuwait, and Angola, oil revenues constitute 60–90% of fiscal receipts — creating acute transition risk.
2.5°C
IEA STEPS Warming Trajectory
Under stated policies (STEPS), the world is on track for ~2.5°C of warming by 2100 — a meaningful improvement from earlier projections (~3.5°C pre-Paris) but well short of the Paris Agreement goal of well below 2°C.
$150T
Cumulative Investment Required to 2050
IRENA's 1.5°C pathway requires $150 trillion in cumulative energy transition investment through 2050 — roughly $5.7 trillion per year to 2030, rising to $7.4 trillion per year thereafter. This represents approximately 2.0–2.5% of global GDP.
Core Argument
The global energy transition is not primarily a technological problem — it is an investment allocation and fiscal governance problem. The capital exists globally (global savings exceed $25 trillion annually). The binding constraints are: (a) the geographic mismatch between where capital accumulates and where it is needed; (b) the cost-of-capital penalty of 2–7 percentage points in developing economies; and (c) the sovereign fiscal exposure of fossil-fuel-dependent states that simultaneously need to decarbonise and replace their primary revenue base.

1. The Investment Gap

Global clean energy investment has doubled since 2020 — but still falls short of net-zero requirements by roughly $2.5 trillion per year. The gap is concentrated overwhelmingly in emerging economies.

$2.0T
Clean energy investment, 2024 (IEA)
IEA World Energy Investment 2024
$4.5T
Annual requirement by 2030, NZE scenario
IEA Net Zero Roadmap, 2023 Update
2.3×
Investment gap ratio (actual/required)
Author calculation from IEA data
15%
EMDE ex-China share of global clean investment
IEA World Energy Outlook 2024

Investment Trends: 2015–2030

The trajectory is encouraging in absolute terms — clean energy investment has roughly doubled since 2020. But the growth rate is decelerating: from 27% in 2021 to an estimated 8% in 2025 (BNEF). If this deceleration continues, the NZE investment pathway becomes unreachable without a structural shift in developing-economy financing mechanisms.

Figure 1 — Global Clean Energy Investment vs. NZE Requirement (2015–2030)
Sources: IEA World Energy Investment 2023–2024; BNEF Energy Transition Investment Trends 2025–2026; IEA World Energy Outlook 2024; IRENA WETO 2023. NZE pathway interpolated between 2024 actual and 2030 requirement. Shaded region = investment gap.

Geographic Imbalance: The EMDE Gap

The most consequential structural feature of the global energy transition is the geographic concentration of clean energy investment. China accounts for roughly one-third of all global clean energy spending. The European Union and United States together account for another third. Emerging market and developing economies outside China — home to two-thirds of the world's population — receive just 15% of global clean energy investment.

The cost of capital is the binding constraint. According to the IEA, the financing cost for a utility-scale solar project in an EMDE outside China is typically 2–3 times higher than in an advanced economy. This premium reflects a combination of currency risk, political and regulatory uncertainty, off-taker creditworthiness, and shallow domestic capital markets. Reducing this spread is the single most leveraged policy intervention available.

Figure 2 — Clean Energy Investment by Region, 2024
Source: IEA World Energy Investment 2024. EMDE ex-China share: ~15%.
Figure 3 — Investment by Technology, 2024 vs. 2030 NZE
Source: IEA WEI 2024 NZE pathway. Largest absolute gaps: efficiency, grids, renewables.
Investment Gap by the Numbers
The additional clean energy investment required to meet the COP28 tripling-renewables and doubling-efficiency pledges is approximately $500 billion per year above current spending — concentrated in grid infrastructure ($300B gap), energy efficiency ($1.25T gap), and renewable power in EMDE. Fossil fuel investment, meanwhile, remains at ~$1.0 trillion annually — roughly double what the NZE scenario allows by 2030. The clean-to-fossil investment ratio reached 2:1 in 2024 but must reach approximately 10:1 by 2030.

Case Study: India — The Investment Gap in a Rising Power

India, the world's most populous country and third-largest energy consumer, invested approximately $68 billion in clean energy in 2025 — a 15% year-on-year increase and the fastest growth rate among major EMDE (BNEF). Yet this figure represents less than half of the $160–200 billion per year required by 2030 for an NZE-aligned pathway. At current run rates, India faces a cumulative investment shortfall of roughly $600 billion across the 2025–2030 period. The binding constraints are not ambition — India has a 500 GW renewable target for 2030 — but rather the financial health of electricity distribution companies (DISCOMs), grid infrastructure bottlenecks, and the 2–3× cost-of-capital penalty relative to projects in advanced economies.

MetricIndiaEUAfrica (Aggregate)
2024 Clean Energy Investment$59B$370B>$40B
Annual NZE Requirement (2030)$160–200B$600–700B$200–250B
Current Shortfall~$100–130B~$150–250B~$160–210B
Cost of Capital Premium (vs. Advanced Econ.)2–3×3–7 pp higher
Key ConstraintDISCOM health, gridPermitting, industryLocal-currency finance

2. Stranded Assets

The unburnable carbon thesis, regional risk distribution, and the financial sector transmission mechanism.

$1–4T
Global stranded asset value, 1.5°C scenario
Carbon Tracker / IRENA / IMF synthesis
60–80%
Declared fossil reserves that are unburnable
Carbon Tracker Initiative, 2011–2023
$25T
Global fossil fuel infrastructure stock at risk
IRENA Stranded Assets Report
$1.4T
Top 60 banks' fossil fuel lending (2016–2023)
Banking on Climate Chaos, 2024

The Unburnable Carbon Thesis

First articulated by the Carbon Tracker Initiative in 2011, the unburnable carbon thesis holds that to have an 80% probability of limiting warming to 2°C, only 565–886 GtCO₂ can be emitted between 2011 and 2050. Yet the world's declared proved fossil fuel reserves — those listed on stock exchanges — contain approximately 2,860 GtCO₂ of embedded carbon. The arithmetic is stark: 60–80% of declared reserves must remain in the ground if the world is to meet even a 2°C target, let alone 1.5°C. This has profound implications for the valuation of fossil fuel companies, the sovereign balance sheets of resource-dependent states, and the stability of financial institutions with concentrated fossil fuel exposure.

"The $25 trillion of fossil fuel assets that could be stranded is comparable to the value of the entire US stock market. This is not a niche environmental concern — it is a systemic risk to the global financial system." — Carbon Tracker Initiative, Unburnable Carbon (2011, updated 2023)

Regional Distribution of Stranding Risk

Stranded asset risk is distributed unevenly across the global economy. The Middle East and North Africa (MENA) region, Russia and the Caspian, and parts of Latin America — particularly Venezuela — face the greatest exposure. These regions combine high fossil fuel reserve-to-GDP ratios with limited economic diversification, creating a "double exposure" to both the physical stranding of assets and the fiscal consequences of lost resource revenues.

Figure 4 — Estimated Stranded Fossil Fuel Asset Value by Region, 1.5°C Scenario
Sources: Carbon Tracker Initiative; IRENA Stranded Assets and Sustainable Development (2023); IMF Working Paper 2022/123. Figures represent mid-range estimates; the range of uncertainty spans ±40% depending on technology cost assumptions and policy stringency.

Asset Class Breakdown

Not all fossil fuel assets face equal stranding risk. Coal reserves are the most vulnerable, with an estimated 90%+ of declared coal reserves potentially unburnable under 1.5°C. Oil reserves face intermediate risk — roughly 35–50% stranding probability — with high-cost producers (oil sands, deepwater, Arctic) most exposed. Natural gas, often positioned as a "bridge fuel," faces stranding risk in the power sector as renewables-plus-storage become cost-competitive, though gas may retain value longer in industrial heat and as a chemical feedstock. Infrastructure — pipelines, LNG terminals, refineries, and power plants — represents a distinct and underappreciated category: these assets have long operational lifetimes (30–50 years) and their stranding is a function of early retirement rather than reserve non-extraction.

Figure 5 — Stranded Asset Exposure by Asset Class, 1.5°C vs. BAU Scenario
Sources: Carbon Tracker; IEA WEO 2024; IRENA. Coal faces near-total stranding under 1.5°C; infrastructure stranding grows over time as operational lives are curtailed.

Financial Sector Transmission

The stranding of physical fossil fuel assets creates a direct transmission channel to the financial sector through several mechanisms: (a) corporate loan portfolios — the world's 60 largest banks provided $1.4 trillion in fossil fuel lending between 2016 and 2023 (Banking on Climate Chaos, 2024); (b) bond markets — fossil fuel companies have roughly $1.8 trillion in outstanding bonds globally; (c) equity valuations — fossil fuel shares still constitute 4–7% of major global equity indices, down from 15% a decade ago but still representing trillions in market capitalisation; and (d) sovereign debt — fossil-fuel-dependent states carry elevated debt loads that become unsustainable if resource revenues decline faster than the economy diversifies. The Bank for International Settlements has warned that a disorderly transition — in which asset stranding occurs rapidly and unexpectedly — could trigger a "climate Minsky moment" with cascading losses across interconnected financial institutions.


3. Fiscal Implications

Sovereign revenue exposure, carbon pricing dynamics, fossil fuel subsidy reform, and the just transition fiscal burden.

~25
Countries with >20% govt revenue from fossil fuels
IMF Fiscal Monitor, October 2023
$7.0T
Global fossil fuel subsidies, 2022 (explicit + implicit)
IMF Working Paper 2023/169
$100B
Global carbon pricing revenue, 2023
World Bank Carbon Pricing Dashboard
€100B
EU Just Transition Fund (2021–2027)
European Commission

Fossil Fuel Revenue Dependence

For a subset of roughly 25 countries, fossil fuel revenues constitute more than 20% of total government revenue — a threshold beyond which the loss of resource income creates acute fiscal stress. In the most dependent cases — Iraq, Kuwait, Libya, Angola, Republic of Congo, and Timor-Leste — hydrocarbon revenues represent 60–90% of total government revenue and an even larger share of export earnings. For these states, the energy transition is not merely an environmental policy question; it is an existential fiscal challenge that requires a managed restructuring of the entire government revenue base.

Figure 6 — Fossil Fuel Revenue as % of Government Revenue, Selected Countries
Sources: IMF Fiscal Monitor (October 2023); World Bank; OECD.stat; country IMF Article IV reports. Figures represent latest available data (2021–2023). "Implicit subsidies" include underpricing of environmental and other externalities.

Fossil Fuel Subsidies: The Perverse Fiscal Transfer

Global fossil fuel subsidies reached an estimated $7.0 trillion in 2022 — equivalent to 7.1% of global GDP — according to the IMF. This figure includes both explicit subsidies (direct budgetary transfers and tax expenditures, ~$1.3 trillion) and implicit subsidies (the gap between actual consumer prices and efficient prices that account for supply costs, environmental damage, and foregone consumption tax revenue, ~$5.7 trillion). The 2022 spike was driven by the global energy price surge following Russia's invasion of Ukraine, which prompted governments worldwide to increase consumer price controls and direct transfers to cushion households. While politically understandable, these subsidies work directly against decarbonisation objectives: they artificially lower the cost of fossil fuel consumption, crowd out clean energy investment, and divert scarce fiscal resources that could otherwise finance the transition.

"Eliminating explicit fossil fuel subsidies would reduce global CO₂ emissions by 5–7% by 2030 and free up roughly $1.3 trillion per year in fiscal space — more than the total annual clean energy investment gap in developing economies." — Synthesis of IMF, IEA, and OECD subsidy reform analyses

Carbon Pricing: Growing Revenue, Modest Coverage

Carbon pricing instruments — emissions trading systems (ETS) and carbon taxes — now cover approximately 23% of global greenhouse gas emissions, generating roughly $100 billion in government revenue in 2023 (World Bank). The EU ETS remains the largest and most mature system, with allowance prices exceeding €100/tCO₂ briefly in early 2023 before settling in the €60–80 range. China's national ETS, launched in 2021, currently covers the power sector only (~4.5 GtCO₂) with prices around ¥60–80/tCO₂ (~$8–11). The revenue potential is significant but the coverage gap remains vast: 77% of global emissions are unpriced, and even where pricing exists, rates are often well below the $50–100/tCO₂ that the IMF estimates is needed by 2030 to align with Paris temperature goals.

Carbon Pricing InstrumentCoveragePrice (2024)Revenue (2023, $B)
EU Emissions Trading System (EU ETS)~36% of EU emissions€55–80/tCO₂~$45
China National ETSPower sector (~4.5 GtCO₂)¥60–80/tCO₂ (~$8–11)~$2
UK ETS~25% of UK emissions£30–50/tCO₂~$7
Sweden Carbon Tax~40% of national emissions~$130/tCO₂ (highest globally)~$2.5
Canada Federal Carbon PriceAll provinces without equivalent systemCAD 80/tCO₂ (rising to CAD 170 by 2030)~$7
Global Total~23% of global GHG emissionsVaries widely~$100

The Just Transition: Fiscal Costs of Social Equity

The labour market transition from fossil fuels to clean energy creates a specific set of fiscal obligations. The IEA estimates that roughly 32 million people are employed in fossil fuel industries globally, compared with 35 million in clean energy (IEA World Energy Employment, 2023). Under the NZE scenario, approximately 5 million fossil fuel jobs would be lost by 2030 — concentrated in coal mining (1.4 million), oil and gas extraction, and fossil fuel power generation. While 9 million new clean energy jobs would be created, the geographic and skills mismatch is substantial. Coal communities in particular face concentrated losses with limited local alternatives.

The EU's Just Transition Fund — €100 billion over 2021–2027, drawn from the EU budget, the Recovery and Resilience Facility, and a dedicated lending facility — represents the most ambitious policy experiment in managing this transition equitably. Early evidence from Poland's Silesia region, Germany's Ruhr and Lusatia, and Spain's Asturias suggests that the critical success factors are: (a) early intervention before mine/power plant closure rather than reactive spending; (b) investment in physical infrastructure (transport links, industrial parks) rather than consumption subsidies; and (c) genuine devolution of spending decisions to regional authorities rather than central government control.


4. Scenarios & Pathways

Comparing the major decarbonisation scenarios, their assumptions, investment requirements, and the three great policy experiments unfolding simultaneously.

Major Scenario Frameworks Compared

Global energy scenario analysis has coalesced around several families of models produced by the IEA, IPCC, and IRENA. These scenarios differ fundamentally in their treatment of policy ambition, technology cost assumptions, and the pace of structural change — and therefore produce meaningfully different investment requirements, emissions trajectories, and temperature outcomes.

Figure 7 — Major Decarbonisation Scenarios: Temperature Outcomes & Investment Requirements
Sources: IEA WEO 2023–2025; IPCC AR6 WGIII; IRENA WETO 2023. Bubble size proportional to cumulative investment requirement. Temperature ranges represent 50% confidence interval (IEA) or 66% range (IPCC). NZE=Net Zero Emissions; STEPS=Stated Policies; APS=Announced Pledges; CPS=Current Policies; SSP=Shared Socioeconomic Pathway.

Technology Cost Curves: The Good News

The single most important economic fact of the energy transition is the extraordinary decline in clean technology costs. Between 2010 and 2023, the levelised cost of solar PV fell by approximately 89%, onshore wind by 69%, and lithium-ion battery packs by 92% (BNEF, IRENA). These cost reductions follow Wright's Law — each doubling of cumulative deployment brings a predictable percentage cost reduction — and mean that solar and wind are now the cheapest sources of new electricity generation in most of the world, without subsidies. The policy implication is profound: the primary barrier is no longer technology cost but rather deployment speed, grid integration, and the cost of capital in developing economies.

Figure 8 — Technology Cost Declines: Solar PV, Wind, Batteries (2010–2023)
Sources: IRENA Renewable Power Generation Costs 2023; BNEF Battery Price Survey 2023; IEA. Indexed: 2010 = 100. Solar PV module prices declined ~89%; battery packs declined ~92%.

Three Great Policy Experiments

The global energy transition is being driven by three fundamentally different policy models, each with distinct mechanisms, strengths, and vulnerabilities:

EU
Regulation-Driven, Carbon Pricing-Led
The European Green Deal combines legally binding emissions targets (climate neutrality by 2050, −55% by 2030) with the world's most comprehensive carbon pricing architecture (EU ETS + CBAM + ETS2 for buildings/transport from 2027). Total committed resources exceed €1 trillion over 2020–2030. Strengths: policy certainty, private-sector planning visibility, growing carbon revenue. Vulnerabilities: political backlash (2024 farmer protests, rightward parliamentary shift), industrial competitiveness concerns, implementation delays in member states.
US
Tax Credit-Driven, Subsidy-Led (IRA)
The Inflation Reduction Act (2022) authorises an estimated $391–1,200 billion in energy and climate spending through uncapped tax credits (45X manufacturing, 48E clean electricity, EV consumer credits). The IRA has catalysed $128B+ in announced private clean energy manufacturing investment and 330+ major projects. Strengths: market-friendly, politically durable in beneficiary districts, rapid deployment. Vulnerabilities: fiscal cost overruns (Goldman Sachs estimates actual spending may reach $1.2T), administrative complexity, political reversal risk under subsequent administrations, and no carbon pricing to internalise the externality.
CN
State-Capitalist, Industrial Policy-Led
China's dual-carbon strategy (peak emissions before 2030, carbon neutrality before 2060) operates through state-directed investment, SOE mandates, and manufacturing dominance. China invested ~$676B in clean energy in 2023 and controls ~80% of global solar PV and battery manufacturing. Strengths: speed of deployment (2030 renewable target met six years early), manufacturing scale driving down global costs, concentrated policy execution. Vulnerabilities: simultaneous coal expansion (100+ GW approved 2022–2023), energy security tensions with climate ambition, and the systemic risk of critical mineral supply concentration — one country refines 19 of 20 strategic energy minerals.
ScenarioOrganisationTemp. 2100Peak EmissionsAnnual Clean Investment (2030s)Key Assumption
NZE 2050IEA~1.5°CAlready peaked (2023)$4.5T/yrNet zero by 2050; no new fossil fuel development
STEPSIEA~2.5°CMid-2020s~$2.5T/yrCurrent + announced policies, practical barriers
CPSIEA~3°CPost-2030~$2T/yrOnly enacted laws; no aspirational targets
SSP1-1.9IPCC AR6~1.4°C2020–20253–6× currentRapid tech diffusion, sustainable behaviour shift, CDR at scale
SSP2-4.5IPCC AR6~2.7°C2040–2050~1–2× currentMiddle-of-the-road: slow tech diffusion in EMDE
IRENA 1.5°CIRENA~1.5°C~2023$5.7T/yr$150T cumulative to 2050; stronger EMDE focus

5. Conclusions & Policy Recommendations

The energy transition is economically inevitable but its pace, distributional consequences, and fiscal sustainability remain contingent on policy choices made in this decade.

Finding I — The Investment Gap Is Solvable
The additional ~$2.5 trillion per year required to close the investment gap to 2030 represents less than 2.5% of global GDP and a small fraction of global savings (~$25 trillion annually). The problem is not capital scarcity but capital allocation: redirecting 10% of current global savings toward clean energy investment would close the gap entirely. The policy challenge is creating the de-risking mechanisms — currency hedging facilities, first-loss guarantees, blended finance structures, and political risk insurance — that allow private capital to flow to EMDE at reasonable cost.
Finding II — Stranded Asset Risk Is Underpriced
Financial markets are not pricing the probability of fossil fuel asset stranding consistently. The $1–4 trillion in potentially stranded assets is concentrated in a relatively small number of institutions and sovereigns, creating concentration risks that are not captured by standard diversification metrics. Regulators — particularly the Financial Stability Board, the Basel Committee, and the IMF — should mandate scenario-based stress testing of fossil fuel exposure under 1.5°C and 2°C pathways, and require transparency on the assumptions underlying asset valuations in carbon-intensive sectors.
Finding III — Fiscal Transition Requires Managed Diversification
The 25 countries most dependent on fossil fuel revenues face an impossible trilemma: they need to (a) decarbonise their domestic energy systems, (b) replace declining resource revenues, and (c) maintain fiscal stability and social cohesion — all simultaneously. The international community has no credible mechanism for supporting this transition at scale. A Fossil Fuel Revenue Diversification Facility, possibly housed at the IMF or the World Bank, could provide technical assistance, concessional finance, and policy conditionality linked to measurable diversification milestones — analogous to the Heavily Indebted Poor Countries (HIPC) initiative but for transition exposure rather than debt distress alone.

Policy Recommendations

#RecommendationPrimary Actor(s)Timeframe
1Establish a Global Energy Transition Financing Platform — a dedicated multilateral facility to provide concessional capital, currency hedging, and first-loss guarantees to clean energy projects in EMDE, capitalised at a minimum $100 billion through SDR reallocation, MDB contributions, and private co-investment.IMF, World Bank, G202025–2027
2Mandate transition plans for all systemically important financial institutions — requiring Paris-aligned lending portfolios with specific, time-bound fossil fuel exposure reduction targets, modelled on the NGFS scenarios and enforced by national regulators under FSB coordination.FSB, national central banks2026–2028
3Reform fossil fuel subsidies through sequenced, compensatory measures — eliminate explicit subsidies ($1.3T/year) within five years while redirecting 25% of the fiscal savings to targeted cash transfers for vulnerable households and regions, following the Indonesian and Iranian models of sequenced reform with visible social dividends.National governments, IMF2025–2030
4Expand carbon pricing coverage from 23% to 50% of global emissions by 2030 — through a combination of new national ETS/carbon taxes in major emerging economies (India, Brazil, Indonesia) and carbon border adjustment mechanisms (CBAM) that create incentives for exporter countries to adopt equivalent pricing.National governments, WTO2026–2030
5Create a Fossil Fuel Revenue Diversification Facility at the IMF or World Bank — providing technical assistance, concessional transition finance, and policy conditionality for the ~25 fiscally vulnerable fossil-fuel-dependent states, with diversification milestones linked to disbursement tranches.IMF, World Bank2027–
6Accelerate grid investment through streamlined permitting and dedicated finance — the $300 billion annual grid investment gap is the single largest infrastructure bottleneck. National governments should designate transmission corridors of national significance with expedited permitting, and MDBs should create a dedicated Grid Investment Facility for EMDE.National governments, MDBs2025–2030
7Scale just transition programmes to match the scale of the challenge — the EU Just Transition Fund (€100B) should be replicated in other regions. Programmes should follow best-practice design principles: early intervention before closure, infrastructure investment over consumption subsidies, and genuine regional devolution of spending authority.National governments, EU, MDBs2025–2035

References & Methodology

Principal data sources, institutional reports, and academic literature cited in this analysis.

Institutional Reports

InstitutionReportYearKey Data Used
IEAWorld Energy Investment 20242024Global clean energy investment, regional breakdowns, technology-level data
IEAWorld Energy Outlook 2024–20252024–2025STEPS, NZE, CPS scenario data; EMDE investment share analysis
IEANet Zero Roadmap: A Global Pathway (2023 Update)2023NZE investment pathways, sectoral milestones
IEAWorld Energy Employment 20232023Clean energy vs. fossil fuel employment; skills transferability
BNEFEnergy Transition Investment Trends 2025, 20262025–2026Energy transition investment totals; technology cost surveys
IRENAWorld Energy Transitions Outlook 202320231.5°C pathway; $150T cumulative investment requirement
IRENAStranded Assets and Sustainable Development2023Stranded asset valuation methodology; regional risk assessment
Carbon Tracker InitiativeUnburnable Carbon: 2011–2023 Series2011–2023Unburnable carbon thesis; 60–80% reserve stranding estimate
IMFFiscal Monitor: Climate and Fiscal PolicyOctober 2023Fossil fuel subsidies; carbon pricing revenue; fiscal vulnerability
IMFWorking Paper 2022/123: Stranded Assets2022Stranded asset scenarios; sovereign balance sheet implications
World BankState and Trends of Carbon Pricing2024Carbon pricing coverage (23%); revenue data; price levels
IPCCSixth Assessment Report, Working Group III2022SSP scenario framework; mitigation pathways; integrated assessment
CPIGlobal Landscape of Climate Finance 20242024Climate finance flows; EMDE share of mitigation finance
ETCFinancing the Transition2023$3.5T/year gross investment; 1.3% GDP net requirement
Rainforest Action Network et al.Banking on Climate Chaos2024Bank fossil fuel lending ($1.4T, 2016–2023)

Key Academic Contributions

Methodological Note

This report synthesises publicly available data from the IEA, IRENA, BNEF, IMF, World Bank, Carbon Tracker, CPI, and IPCC, alongside published academic literature. Investment figures are reported in nominal US dollars unless otherwise specified. Scenario comparisons use the most recent publicly available iteration of each model (IEA WEO 2024–2025 for STEPS/CPS; IEA NZE Roadmap 2023 Update for NZE; IPCC AR6 WGIII for SSPs; IRENA WETO 2023 for the 1.5°C pathway). Stranded asset estimates represent mid-range values; the full uncertainty range spans ±40% around these central estimates depending on technology cost trajectories, policy stringency, and commodity price assumptions. All data visualisations were generated using Chart.js 4.4.0 with data processed from the cited sources. Any errors or omissions are the responsibility of the author.

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