The Influence of Digital Enablers on Affordable and Clean Energy in the European Union—An Analysis Based on Panel Data Regression.

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Title: The Influence of Digital Enablers on Affordable and Clean Energy in the European Union—An Analysis Based on Panel Data Regression.
Authors: Simion, Cezar-Petre1 (AUTHOR) cezar.simion@man.ase.ro, Zamfir, Andreea-Ileana1 (AUTHOR), Mazăre, Mădălina1 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2059. 42p.
Subject Terms: *Renewable energy sources, *Panel analysis, *Digital inclusion, *Digital technology, *Clean energy, Cost effectiveness of energy consumption
Company/Entity: European Union
Abstract: In the context of the transition of the European energy sector and economy towards sustainable systems, this study aims to investigate the influence of digital enablers on affordable and clean energy in the European Union, using an econometric approach based on panel data regression. In accordance with the literature review and the main programmatic documents that mark the sustainable transition of the energy system, as well as the role of digitalization in this process, 4 research hypotheses and 16 sub-hypotheses were developed regarding the influence of digital enablers specific to the digitalization of the population and enterprises on clean and affordable energy. To confirm the hypotheses, a panel data regression was used for the period 2016–2024 in the European Union states. From a methodological perspective, the panel data regression was carried out using estimation of fixed effects and random effects models, Hausman tests for model selection, diagnostic testing, and correction of standard errors using Driscoll–Kraay estimators. The panel data regression analysis was carried out using R software, version 4.5.1. The results obtained showed that not all independent variables that express the digitalization of the population have the same influence on the share of renewable energy. The performed analysis shows the influence of the level of digitalization of enterprises on the share of renewable energy in the final energy consumption value, but also of the digitalization of the population on the price of energy, as a synthetic expression of affordable energy. Therefore, an essential contribution of the research is represented by highlighting the differentiated impact of digital enablers on clean and affordable energy, using a dual perspective of digitalization, at both the population and enterprise levels. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 193715955
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  Data: The Influence of Digital Enablers on Affordable and Clean Energy in the European Union—An Analysis Based on Panel Data Regression.
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 9, p2059. 42p.
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  Data: *<searchLink fieldCode="DE" term="%22Renewable+energy+sources%22">Renewable energy sources</searchLink><br />*<searchLink fieldCode="DE" term="%22Panel+analysis%22">Panel analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+inclusion%22">Digital inclusion</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br />*<searchLink fieldCode="DE" term="%22Clean+energy%22">Clean energy</searchLink><br /><searchLink fieldCode="DE" term="%22Cost+effectiveness+of+energy+consumption%22">Cost effectiveness of energy consumption</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22European+Union%22">European Union</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: In the context of the transition of the European energy sector and economy towards sustainable systems, this study aims to investigate the influence of digital enablers on affordable and clean energy in the European Union, using an econometric approach based on panel data regression. In accordance with the literature review and the main programmatic documents that mark the sustainable transition of the energy system, as well as the role of digitalization in this process, 4 research hypotheses and 16 sub-hypotheses were developed regarding the influence of digital enablers specific to the digitalization of the population and enterprises on clean and affordable energy. To confirm the hypotheses, a panel data regression was used for the period 2016–2024 in the European Union states. From a methodological perspective, the panel data regression was carried out using estimation of fixed effects and random effects models, Hausman tests for model selection, diagnostic testing, and correction of standard errors using Driscoll–Kraay estimators. The panel data regression analysis was carried out using R software, version 4.5.1. The results obtained showed that not all independent variables that express the digitalization of the population have the same influence on the share of renewable energy. The performed analysis shows the influence of the level of digitalization of enterprises on the share of renewable energy in the final energy consumption value, but also of the digitalization of the population on the price of energy, as a synthetic expression of affordable energy. Therefore, an essential contribution of the research is represented by highlighting the differentiated impact of digital enablers on clean and affordable energy, using a dual perspective of digitalization, at both the population and enterprise levels. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19092059
    Languages:
      – Code: eng
        Text: English
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        PageCount: 42
        StartPage: 2059
    Subjects:
      – SubjectFull: Renewable energy sources
        Type: general
      – SubjectFull: Panel analysis
        Type: general
      – SubjectFull: Digital inclusion
        Type: general
      – SubjectFull: Digital technology
        Type: general
      – SubjectFull: Clean energy
        Type: general
      – SubjectFull: Cost effectiveness of energy consumption
        Type: general
      – SubjectFull: European Union
        Type: general
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      – TitleFull: The Influence of Digital Enablers on Affordable and Clean Energy in the European Union—An Analysis Based on Panel Data Regression.
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            NameFull: Simion, Cezar-Petre
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            NameFull: Zamfir, Andreea-Ileana
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            NameFull: Mazăre, Mădălina
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 19
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              Value: 9
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            – TitleFull: Energies (19961073)
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