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For the first time on record, falling oil use, not coal, drove a quarterly decline in China's carbon output. Behind the 1% drop lies a messy mix of EV adoption, drawn-down stockpiles and a renewables market still wasting clean power.
China's carbon dioxide emissions fell 1% in the second quarter of 2026. The catalyst was not the usual suspect. Oil consumption collapsed, down 9% overall and 16% in transport, as the Strait of Hormuz crisis choked supply from the Gulf. Coal-fired power generation, meanwhile, kept climbing.
That combination matters. According to Lauri Myllyvirta, lead analyst at the Centre for Research on Energy and Clean Air, this marks the first time a fall in oil use, rather than coal, has been the decisive factor pulling China's overall emissions down. Every prior decline in the country's carbon trajectory has been coal-led. This one was not.
The numbers behind the shift are stark. Crude oil processing volumes dropped 11% in the quarter. Sinopec sales fell 9%. China cut oil imports by 32%, though roughly 60% of that reduction was covered by drawing down the country's substantial stockpiles rather than genuine demand destruction. Still, National Bureau of Statistics data show oil consumption itself fell around 9% in the quarter and 3% across the first half of the year. Real reduction, not just inventory games.
Electric vehicles did heavier lifting than their numbers alone would suggest. EVs on the road grew 33% year-on-year, with 12.1 million added, 8.1 million of them battery-only. But charging volumes surged 60%, nearly double the growth in the vehicle fleet. Existing EVs were driven harder, plug-in hybrid owners apparently favouring the plug over the pump as fuel prices rose. Electric heavy-truck sales jumped 77% in the quarter, with June sales more than doubling and electric trucks capturing over 45% of new truck sales.
The scale is worth pausing on. EVs displaced an estimated 19 million tonnes of oil equivalent in the second quarter alone, up 50% year-on-year, bringing the first-half total to 36 Mtoe. That exceeds the UK's total oil consumption over a comparable six-month stretch. If growth holds through year-end, displaced consumption could hit 80 million tonnes, roughly Mexico's annual usage. Emissions avoided from this shift reached 35 MtCO2 in the quarter, about 1.3% of China's total output, even after accounting for the power needed to charge those vehicles.
Here is the uncomfortable part of the story. Even as oil demand cratered, coal use in the power sector rose 2.4% while gas-fired generation fell 1.2%. This happened despite record wind and solar capacity additions, a 9% rebound in hydropower, and a 2% rise in nuclear output. Power demand growth actually slowed, from 5.9% in the second quarter of 2025 to 5.2% this year.

The explanation is curtailment. Solar and wind output is being wasted at a growing rate because the grid and power market have not adapted to rising shares of variable renewable generation. Power-sector emissions rose 3.0% in the first half of 2026, reversing a 3.2% decline in the same period a year earlier. Strip out the curtailment and poor wind conditions, and coal generation would likely have fallen too. New five-year plan documents released this quarter promise measures to address the curtailment problem and raise the bar for approving new coal plants, but they arrive light on hard targets.
Elsewhere, the picture is more encouraging for the transition. Cement production fell as construction volumes dropped 9% in the quarter, up from an 8% decline in the first. Crude steel output slipped 1%, pig-iron production 3%. Coal use in chemicals production, which many expected to boom as rising oil prices made coal-based feedstocks more attractive, grew just 8% year-on-year, down sharply from 15% in 2025 and 19% in the first quarter. The reason is capacity, not appetite: utilisation was already near maximum before the oil shock hit, leaving no room to ramp up even with favourable economics.
Transport activity itself barely wobbled. Cross-regional passenger trips rose 0.1% year-on-year, urban trips 2.9%, and commercial freight tonnage 2.4%. Only air travel fell, down 7% in May-June after 7% growth in the first quarter, though aviation is a minor slice of China's transport oil demand. The takeaway: mobility held steady while fuel use plunged. That is the electrification story in miniature, and it is happening faster than fleet growth alone would predict.
Diesel demand losses were concentrated in construction and mining, sectors where heavy machinery is increasingly electrified and where activity is separately declining. Rail passenger traffic rose 5% in the first half, adding another layer of oil displacement outside the EV count entirely.
Taken together, EV displacement accounts for only about a third of the year-on-year drop in China's oil consumption, and that consumption drop covers only half of the fall in imports. The rest comes from stockpile drawdowns, slower chemicals output growth, and behavioral shifts by consumers and firms responding to higher fuel prices. That leaves China's emissions trend where it has sat for two years: plateaued, oscillating between marginal quarterly gains and losses since peaking in March 2024. The first half of 2026 nets out to a small increase, still below the 2023-24 peak. Whether the year closes lower depends on a genuine race: continued erosion in real estate and coal-chemicals demand against a power sector that keeps finding new ways to burn coal even as clean capacity piles up. Investors watching China's carbon trajectory should treat the oil-driven dip as encouraging but fragile, contingent on stockpile dynamics and Hormuz-related disruption rather than a durable structural break in the power sector's coal dependence.
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Original Sources
Analysis: China’s CO2 emissions fall in Q2 2026 due to plummeting oil use - Carbon Brief
↗ https://www.carbonbrief.org/analysis-chinas-co2-emissions-fall-in-q2-2026-due-to-plummeting-oil-use
About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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