This study investigates the alignment between the European Union’s climate policy rhetoric and the actual fossil fuel consumption behaviours of its Member States. By combining long-term and short-term time-series data with machine learning classification techniques, the analysis captures dynamic national energy trends and decarbonisation signals. Key innovations include the use of slope acceleration metrics and the identification of label reversals to detect volatility, acceleration, or stagnation in transition trajectories. The results reveal that while some countries, such as France and Denmark, exhibit consistent structural progress, others display deceleration or reversal, particularly in the use of gas and liquid fuels. This suggests that the relationship between EU-level policy ambition and national implementation is asymmetric and conditionally aligned. The study concludes that continuous empirical monitoring and differentiated diagnostics are essential to avoid conflating symbolic commitments with material change, and offers actionable insights for enhancing climate policy accountability and adaptiveness across the EU.
Павлова et al. (Thu,) studied this question.
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