Spatial distribution and drivers of renewable energies in European regions

The energy transition is a complex process that varies significantly among European regions. This research uses spatial econometric panel models to investigate the evolution of wind and photovoltaic (PV) energy in Europe throughout the 21st century by identifying the main drivers (socioeconomic, institutional, geographic and demographic factors) of renewable energy capacity in European regions. The study reveals high heterogeneity in the development of these renewable energy sources. GDP per capita shows a positive relationship with both technologies, while the opposite is found for population density. While natural resource factors considered here do not seem to considerable impact the location of wind and PV farms, the pattern of territorial technology diffusion through spatial spillovers stand out as a determining factor in the wind and photovoltaic energy place-based evolutionary processes.

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Publication Details

Journal
Energy Economics
Published
2025-02-26
DOI
https://doi.org/10.1016/j.eneco.2025.108340
Citations
7
Primary Topic
Social Acceptance of Renewable Energy
Type
article
Field-Weighted Citation Impact
29.41
Controls
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article

Spatial distribution and drivers of renewable energies in European regions

Cristina Sarasa, Alain Riazuelo, Raquel Ortega-Argilés, Rosa Duarte
7 citations
Energy Economics
Social Acceptance of Renewable Energy
29.41
article

Spatial distribution and drivers of renewable energies in European regions

Cristina Sarasa, Alain Riazuelo, Raquel Ortega-Argilés, Rosa Duarte
article en
7 citations

Abstract

The energy transition is a complex process that varies significantly among European regions. This research uses spatial econometric panel models to investigate the evolution of wind and photovoltaic (PV) energy in Europe throughout the 21st century by identifying the main drivers (socioeconomic, institutional, geographic and demographic factors) of renewable energy capacity in European regions. The study reveals high heterogeneity in the development of these renewable energy sources. GDP per capita shows a positive relationship with both technologies, while the opposite is found for population density. While natural resource factors considered here do not seem to considerable impact the location of wind and PV farms, the pattern of territorial technology diffusion through spatial spillovers stand out as a determining factor in the wind and photovoltaic energy place-based evolutionary processes.

Energy EconomicsVol. 144
Affordable and clean energy
Openalex Percentile: Top 0%
Social Acceptance of Renewable Energy
29.41
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