Evaluating the Decarbonisation Process of Growth in Türkiye in the Context of the Environmental Kuznets Curve
環境クズネッツ曲線の観点から見たトルコの成長の脱炭素化プロセスの評価 (AI 翻訳)
Burak Beder, Burcu Yavuz Tiftikçigil, Sunay Çıralı
🤖 gxceed AI 要約
日本語
トルコの経済成長と炭素排出の関係を環境クズネッツ曲線（EKC）仮説に基づき検証。ARDLモデルによりEKCの逆U字関係を確認し、EGARCHモデルで再生可能エネルギー利用とエネルギー効率の向上が排出削減に寄与する一方、化石燃料利用は排出を増加させることを示した。トルコの脱炭素化には再生可能エネルギーへの転換と効率改善が重要と結論。
English
This study tests the Environmental Kuznets Curve (EKC) hypothesis for Türkiye using ARDL and EGARCH models. Results confirm an inverted U-shaped relationship between income and carbon emissions, and show that renewable energy and energy efficiency reduce emissions while fossil fuels increase them. The authors conclude that Türkiye's decarbonization requires a shift away from fossil fuels toward renewables and improved efficiency.
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
日本のGX実践においては、トルコの実証結果が直接的な示唆を与えるものではないが、脱炭素と経済成長の両立を考える上での比較事例として参考になる。特に、エネルギー効率化と再エネ導入の効果をマクロデータで確認している点は、日本の長期 decarbonization 戦略の評価にも示唆を与える。
In the global GX context
This paper contributes empirical evidence on the decoupling of economic growth from carbon emissions, relevant to global debates on how developing and emerging economies can pursue decarbonization. Its findings on the roles of renewable energy and efficiency reinforce the core pillars of many countries' transition strategies, including those aligned with the Paris Agreement and net-zero targets.
👥 読者別の含意
🔬研究者:EKCモデルのトルコへの適用例として、ARDLとEGARCHを組み合わせた方法論上の参考になる
🏛政策担当者:トルコの成長段階に応じた排出削減策の実証的根拠を提供する
📄 Abstract（原文）
This study aims to test the decarbonisation of economic growth in Türkiye in two stages. Firstly, the relationship between per capita income and carbon emissions per capita in Türkiye is examined in the context of the Environmental Kuznets Curve (EKC) to determine if the EKC is valid. In the second stage, the parameters that either increase or decrease carbon emissions in Türkiye are investigated to analyse the impacts of explanatory variables on carbon emissions. There are two different methods are used in this paper to test the validity of the EKC model and determine the factors that affect carbon emissions. The validity of the EKC for Türkiye is examined using the Autoregressive Distributed Lag (ARDL) method, and the factors that either increase or decrease the carbon emissions are analysed in by using the EGARCH model. ARDL results show that the EKC is valid for Türkiye, and Türkiye's EKC curve is inverse U-shaped. This finding indicates that an increase in per capita income in Türkiye will lead to a rise in per capita carbon emissions in the early stages of economic growth, but after a certain level of per capita income, per capita carbon emissions will start to fall. On the other hand, EGARCH results indicate that renewable energy use and greater energy efficiency mitigate carbon emissions, whereas fossil fuel use leads to higher emissions. These results reveal that in order to have decarbonisation of economic growth in Türkiye, it is important to replace fossil energy fuels with renewable energy sources and increase energy efficiency.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.26650/istjecon2026-1897409first seen 2026-08-01 07:26:39
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