Long-Term Value at Risk · Working Paper 03
The timing of the energy transition has been treated as a forecast to argue over. Wright's Law makes it a date to price. Imported gas has already crossed. Coal crosses for most Asian economies in the early-to-mid 2030s, inside the investment horizon.
This paper dates the merit order crossover across 17 Asian economies. Where a technology follows Wright's Law, its cost trajectory against fossil energy is a mathematical regularity, not a scenario: clean technologies learn at 15 to 35 per cent per doubling; fossil learns at approximately zero, and coal's delivered cost escalates with depletion.
The central finding is a date, not a forecast. Imported gas has already crossed; coal crosses for most economies in the early-to-mid 2030s. Because the dating rests on documented learning rates rather than on policy or sentiment, it is robust to ordinary political volatility.
The paper separates two moments. The merit order crossover is a cost event, dateable in advance. Merit order death is the capital event that follows, as capacity factor erodes. The interval between them is the repricing window, and it sits inside the investment horizon.
Chief executives, chief financial officers, and heads of capital allocation
You are approving capital for plant, kiln, blast furnace, or fleet whose payback runs beyond the early 2030s. The paper places your decision on the merit-order timeline for the economy in which the asset sits. It gives you the dating framework for showing your board when the asset is likely to lose its dispatch position. And it separates capital-intensive assets that can retrofit from those that cannot.
Bankers and project financiers
You carry credit or project-finance exposure to Asian energy or fossil-dependent industrials whose tenor extends into the 2030s. The paper dates the crossover that starts the capacity-factor erosion behind stranded-asset risk. Where your tenor exceeds the crossover date for the borrower's economy, the paper argues covenants and loss-given-default assumptions built on stable capacity factors are already stale.
Infrastructure and real-asset investors
You steward infrastructure or real-asset portfolios with exposure to energy generation, transmission, or fossil-dependent capital that recovers beyond 2035. The paper dates the crossover: the point at which building and running new clean generation costs less than running existing fossil generation. Your positioning window in each economy is the interval between now and that date.
The paper dates the crossover for 17 Asian economies using Wright's Law learning curves against fossil cost trajectories. For coal, the central case falls in the early-to-mid 2030s. The best-resource economies (Rajasthan, Australian outback, western China) cross in 2028 to 2030. Average sites across Southeast Asia, coastal China, and Japan cross in 2032 to 2035. The mid-2030s cover the enhanced-geothermal economies of Indonesia and the Philippines. These are calculations from published learning rates, not scenario forecasts.
The merit order crossover is the point at which the delivered cost of new clean generation falls below the running cost of existing fossil generation in a specific market. Merit order death describes what happens next: fossil generators fall out of dispatch on cost grounds, their capacity factors collapse, and their remaining book value strands regardless of technical life. The crossover is a threshold; death is what follows once dispatch software follows the numbers.
For technologies following Wright's Law, cost trajectories are mathematical regularities, not scenarios. Solar, wind, and battery capacity learn at 15 to 35 per cent per doubling of cumulative installation, and the doubling times are already observable. Fossil technologies learn at approximately zero because they extract mature commodities. Coal's delivered cost escalates with depletion. Given the published learning rates and the observed capacity trajectories, the crossover dates fall in narrow bands. The paper treats them as calculations with uncertainty, not as scenarios among many.
No. The paper shows why the intuition breaks down under Wright's Law. Coal's delivered cost is bounded below by its extraction and transport costs, which rise with depletion. Solar's delivered cost is bounded below by learning-rate compounding, which has no floor near current levels. The crossover happens when the two curves cross, regardless of how cheap coal was at the outset. Asian coal starts cheaper than most global coal but sits on the same physics: its cost curve is flat or rising, while clean alternatives fall.
The paper estimates that cheap electricity, plus the green molecules (green hydrogen, green ammonia, green methanol) that scale on the same learning-rate logic, address approximately 70 per cent of global emissions on the pathway. Cheap electricity alone reaches sectors that can electrify directly. Green molecules extend the reach to industrial heat, long-distance transport, and hard-to-abate industrial processes. The remaining 30 per cent covers agriculture, land use, and residual industrial emissions that require different levers.
An illustrative two-path portfolio model in the paper indicates the order of magnitude. A US$5 billion Asian-exposed portfolio that repositions in 2026 outperforms one that does not by approximately US$1.1 billion over seven years. The uplift uses 300 basis points for transition-positioned holdings, conservative against the approximately 650 basis points observed in the Prepare and Repair Index over the decade to October 2025. The drag uses 400 basis points on transition-exposed holdings. The illustration is a directional calibration, not a forecast.
WP-03 supplies the timing that the rest of the series' exposure findings rest on. Where WP-01 measures the exposure and WP-02 documents the framework, WP-03 dates the cost event that activates the Capital Lock and Market Lock. WP-05 reads the resulting exposure as correlated and systemic across portfolios; WP-07 carries the same dating into transition alpha.
Full paper on SSRN: Merit Order Death: Wright's Law and the Dating of the Energy Crossover Across 17 Asian Economies
Author page: Joanne Flinn on SSRN
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