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This study employs deep learning techniques to analyze high-resolution socioeconomic and sectoral data across EU27 member states, projecting CO$_2$ emissions trajectories through 2023. The findings reveal that current trends will lead to a 35% exceedance of the EU's 2030 emissions reduction target, primarily due to stagnation in the Mobility sector, which is projected to contribute over a third of total emissions. The research underscores the urgent need for enhanced interventions and updated energy information to align with climate commitments.
Current EU emissions trends could result in a staggering 620 Mt CO$_2$ shortfall by 2030, highlighting a critical ambition-implementation gap.
The European Union has committed to reducing greenhouse gas emissions 55% below 1990 levels by 2030, but whether current trends are compatible with this ambition remains uncertain. We apply deep learning to high-resolution socioeconomic and sectoral data across EU27 member states till 2023 to project sectoral CO$_2$ trajectories under current trends, extrapolating observed sectoral momentum without assuming changes in the pace or effectiveness of the policy environment beyond what is already reflected in historical data. We project that EU27 emissions will exceed the 2030 target by 35% (620 Mt CO$_2$ shortfall), with only a small minority of countries on trajectories consistent with the bloc's commitments. While the Power sector achieves target-consistent reductions driven by the renewable transition, Mobility shows minimal progress and accounts for over a third of total emissions by 2030, reflecting a structural inertia across member states rather than geographically concentrated lag. Our findings indicate that substantial additional intervention is required to close Europe's ambition-implementation gap, and call for establishing up-to-date energy information in Europe.
