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This study examines the drivers of transportation-related CO2 emissions in Central Europe, focusing on Hungary, the Czech Republic, Poland, Slovakia, and Austria as they work to meet the European Union’s decarbonisation goals, mainly the European Green Deal’s carbon neutrality target by 2050. It analyses how population growth, economic activity, energy, and carbon intensity influence emissions within and across countries. It uses the Kaya Identity and Logarithmic Mean Divisia Index (LMDI) to decompose emissions changes from 2001 to 2021. Spatial correlation models and variance analyses are applied to assess cross-country interdependencies. Findings reveal that economic growth and population expansion drive emissions across all five countries, with Austria and the Czech Republic making more progress in improving energy efficiency compared to Hungary and Poland. The study highlights the need for coordinated regional strategies and tailored national policies to address specific economic and demographic conditions, emphasising the importance of regional cooperation in transport infrastructure and energy efficiency to meet EU decarbonisation targets. These insights are crucial for policymakers seeking region-specific solutions to reduce transport-related CO2 emissions.

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Drivers of CO2 Emissions in Central European Transport: Intra and Inter-Country Spatial Analysis

  • 会议论文

  • 发表日期：

    2026年

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  • Ammar Al-lami,
  • Anas Alatawneh,
  • Ádám Török

摘要

This study examines the drivers of transportation-related CO2 emissions in Central Europe, focusing on Hungary, the Czech Republic, Poland, Slovakia, and Austria as they work to meet the European Union’s decarbonisation goals, mainly the European Green Deal’s carbon neutrality target by 2050. It analyses how population growth, economic activity, energy, and carbon intensity influence emissions within and across countries. It uses the Kaya Identity and Logarithmic Mean Divisia Index (LMDI) to decompose emissions changes from 2001 to 2021. Spatial correlation models and variance analyses are applied to assess cross-country interdependencies. Findings reveal that economic growth and population expansion drive emissions across all five countries, with Austria and the Czech Republic making more progress in improving energy efficiency compared to Hungary and Poland. The study highlights the need for coordinated regional strategies and tailored national policies to address specific economic and demographic conditions, emphasising the importance of regional cooperation in transport infrastructure and energy efficiency to meet EU decarbonisation targets. These insights are crucial for policymakers seeking region-specific solutions to reduce transport-related CO2 emissions.