Determinants of Building-Sector CO<sub>2</sub> Emissions in the EU: A Combined Econometric and Machine Learning Approach

The research aims to explore the structural, environmental, and climatic factors that influence carbon dioxide emissions in the building sector across the 27 member states of the European Union between 2005 and 2023. It is evident that higher activity in the primary sector, along with higher forest area, is associated with reduced building sector emissions, while environmental stress, air pollution, and demands for heating and cooling are positively related to building sector emissions. Subsequent analyses show that there are significant differences between EU member states, differentiating between those that are classified under high-emitting patterns, including pollution, inefficient energy, and adverse climatic conditions, and those that are classified under low-emitting patterns, including clean energy sources and favourable environmental conditions.

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Publication Details

Journal
Journal of Sustainability
Published
2026-02-16
DOI
https://doi.org/10.55845/jos-2026-21101
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

Determinants of Building-Sector CO2 Emissions in the EU: A Combined Econometric and Machine Learning Approach

Alberto Costantiello, Marco Mele, Angelo Leogrande, Fabio Anobile
Journal of Sustainability
Energy, Environment, Economic Growth
article

Determinants of Building-Sector CO2 Emissions in the EU: A Combined Econometric and Machine Learning Approach

Alberto Costantiello, Marco Mele, Angelo Leogrande, Fabio Anobile
article en

Abstract

The research aims to explore the structural, environmental, and climatic factors that influence carbon dioxide emissions in the building sector across the 27 member states of the European Union between 2005 and 2023. It is evident that higher activity in the primary sector, along with higher forest area, is associated with reduced building sector emissions, while environmental stress, air pollution, and demands for heating and cooling are positively related to building sector emissions. Subsequent analyses show that there are significant differences between EU member states, differentiating between those that are classified under high-emitting patterns, including pollution, inefficient energy, and adverse climatic conditions, and those that are classified under low-emitting patterns, including clean energy sources and favourable environmental conditions.

Journal of SustainabilityVol. 2(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 59%
Energy, Environment, Economic Growth
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Determinants of Building-Sector CO<sub>2</sub> Emissions in the EU: A Combined Econometric and Machine Learning Approach — Alberto Costantiello, Marco Mele, et al. · Journal of Sustainability (2026) | TGRS Research Map | TGRS