Exploring the Drivers of Decarbonization in the EU: The Impact of Economic Growth, Energy Use, Land Management and Urbanization on CO2 Emissions
EUにおける脱炭素化の推進要因の探求：経済成長、エネルギー使用、土地管理、都市化がCO2排出に与える影響 (AI 翻訳)
Jana Chovancová, Igor Petruška
🤖 gxceed AI 要約
日本語
本研究は、2000～2022年のEU加盟国を対象に、回帰クラスタリング分析を用いてCO2排出の要因を分析。5つのクラスターを特定し、エネルギー使用が排出増加、再生可能エネルギーが緩和効果を持つことを確認。土地管理の影響はクラスターによって異なり、画一的な政策では不十分であることを示唆。
English
This study uses regression clustering to analyze CO2 emission drivers across EU-27 (2000-2022), identifying five clusters. Energy use drives emissions, renewables mitigate them, and land management (LULUCF) has mixed effects. Findings highlight the need for tailored policy interventions rather than one-size-fits-all approaches.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
EUの脱炭素化経路の多様性を示す実証研究。日本でも地域ごとの特性を踏まえた政策立案に示唆を与えるが、直接的な制度連携は薄い。
In the global GX context
Provides empirical evidence of heterogeneous decarbonization pathways across EU states, relevant for tailoring climate policies. Globally, it reinforces the need for differentiated strategies beyond uniform emission reduction targets.
👥 読者別の含意
🔬研究者:Offers a method (regression clustering) to identify country groups based on emission drivers, useful for comparative policy analysis.
🏛政策担当者:Suggests that decarbonization policies should be tailored to cluster-specific characteristics rather than applying uniform measures.
📄 Abstract（原文）
Abstract Over a decade after the adoption of the Paris Agreement in 2015, and in the midst of what has been called the “decisive decade” for climate action, the European Union faces the challenge of achieving climate neutrality by 2050. Despite significant progress, there is considerable variability in emission reduction pathways across EU Member States due to their different stages of economic development, energy profiles and land management approaches. Our study addresses this challenge by exploring the key drivers of decarbonisation in the EU-27 Member states during the period 2000–2022 via regression clustering analysis to identify distinct clusters of EU countries based on their common characteristics and development patterns. Our analysis identified five clusters, revealing significant variability. While energy use is a dominant contributor to CO 2 emissions, renewable energy consistently demonstrates a mitigating effect across most clusters. Interestingly, land management (LULUCF) exhibits a significant mitigating effect in Cluster 3 and 4 but a carbon-driving effect in Cluster 1 and 5. This approach allows us to gain more nuanced insights into the different pathways of decarbonization. The findings suggest that one-size-fits-all policy interventions may not be sufficient and call for more targeted and tailored approaches.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1057/s41294-026-00285-5first seen 2026-06-14 04:37:28
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