How Did the Transition from Fossil Fuels to Renewable Energy in European Union Countries Affect Carbon Emissions? A Study Using Panel Data Analysis Method
欧州連合諸国における化石燃料から再生可能エネルギーへの移行が二酸化炭素排出にどのような影響を与えたか?パネルデータ分析手法を用いた研究 (AI 翻訳)
Ayşe Eryer, Ahmet Yılmaz Ata, Mehmet Ali Polat
🤖 gxceed AI 要約
日本語
1990~2021年のEU諸国のデータを用い、化石燃料・再生可能エネルギー消費とCO2排出の関係をパネル共分散分析で検証。再生可能エネルギー消費1%増で排出0.30%減少、化石燃料1%増で1.61%増加。エネルギー構成が排出に決定的な影響を与えることを示し、EUの移行政策の有効性を裏付けた。
English
This study uses panel cointegration and coefficient estimation on EU countries from 1990-2021 to examine the impact of fossil fuel and renewable energy consumption on CO2 emissions. It finds that a 1% increase in renewable energy reduces emissions by 0.30%, while a 1% increase in fossil fuel increases emissions by 1.61%. The fossil-to-renewable ratio also significantly affects emissions, supporting the EU's energy transition policies.
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
本論文はEUのエネルギー転換政策の有効性を実証しており、日本がGX戦略で化石燃料依存から再生可能エネルギーへの移行を進める上で参考になる。特にエネルギー消費の構成比率(化石燃料対再エネ)が排出に与える影響の定量結果は、日本の電源構成計画や炭素価格政策の設計に示唆を与える。
In the global GX context
This paper provides rigorous empirical evidence on the effectiveness of the EU's energy transition policies, quantifying the emission reduction impact of renewable energy deployment. It offers valuable insights for global policymakers on the importance of targeting both the level and composition of energy consumption, supporting carbon pricing and subsidy reforms under frameworks like ISSB and transition finance.
👥 読者別の含意
🔬研究者:This paper contributes robust panel data evidence on the causal relationship between energy mix and emissions, particularly through the novel inclusion of the fossil-to-renewable ratio.
🏢実務担当者:The findings can inform corporate energy procurement strategies and decarbonization roadmaps, especially for companies in the energy sector or with large carbon footprints.
🏛政策担当者:The results underscore the need for policies that address the composition of energy consumption, such as carbon pricing and renewable subsidies, to achieve emission reduction targets.
📄 Abstract(原文)
This study examines the impact of fossil fuel and renewable energy consumption on carbon emissions (CO₂) in European Union (EU) countries by employing panel cointegration and coefficient estimation methods over the period 1990–2021. The empirical findings reveal that a 1% increase in renewable energy consumption reduces carbon emissions by 0.30%, whereas a 1% increase in fossil fuel consumption increases emissions by 1.61%. Furthermore, a 1% increase in the fossil-to-renewable energy consumption ratio leads to a 0.25% rise in carbon emissions, indicating that the structure of energy consumption is a critical determinant of environmental outcomes. The results are consistent with theoretical expectations and provide strong evidence supporting the effectiveness of the European Union’s energy transition policies. Country-level findings indicate that the impact of renewable energy consumption on carbon emissions is significant in all countries except Slovenia, while fossil fuel consumption is insignificant in Austria, Slovenia, and Croatia. In contrast, the fossil-to-renewable energy ratio has a positive and statistically significant effect on carbon emissions across all countries. These findings highlight that not only the level but also the composition of energy consumption plays a decisive role in shaping carbon emissions. The study contributes to the literature by incorporating the fossil-renewable energy ratio into the analysis, offering a more comprehensive perspective on energy transition dynamics. From a policy perspective, the results suggest that increasing renewable energy investments, reducing fossil fuel dependency, and implementing effective policy instruments such as carbon pricing and subsidy reforms are essential for achieving sustainable environmental outcomes.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.53568/yyusbed.1752221first seen 2026-07-20 04:54:59
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。