Reassessing Germany’s energy transition: The role of energy R&D and population ageing in shaping the load capacity factor
ドイツのエネルギー転換の再評価：エネルギー研究開発と人口高齢化が負荷容量因子に与える影響 (AI 翻訳)
İbrahim Halil Polat
🤖 gxceed AI 要約
日本語
本研究は、ドイツの環境持続可能性を負荷容量因子（LCF）で評価し、エネルギー研究開発（化石、再生可能、原子力）と人口高齢化の影響をARDLモデルで分析。結果、再生可能・原子力R&DはLCFを向上させる一方、化石R&Dと高齢化は悪化させることを確認。環境バランスを強化するにはクリーンエネルギーR&Dへの投資拡大と高齢化対策の統合が必要。
English
This study assesses Germany's environmental sustainability via the Load Capacity Factor (LCF), integrating energy R&D (fossil, renewable, nuclear) and population ageing using the ARDL model. Findings show that renewable and nuclear R&D increase LCF, while fossil R&D and ageing decrease it. Policy implications include shifting R&D investment towards clean energy and managing ageing effects.
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
ドイツの事例だが、日本でも人口高齢化とエネルギー転換が同時進行する点で示唆に富む。特に、高齢化が環境持続可能性に与える負の影響を踏まえ、R&D投資の方向性やグリーン基準と調和した高齢化対策の必要性が参考になる。
In the global GX context
This paper contributes to global energy transition scholarship by explicitly linking demographic ageing to ecological outcomes via energy R&D. It provides empirical evidence for redirecting R&D budgets from fossil to clean energy, relevant for countries like Japan and others facing ageing populations and net-zero targets.
👥 読者別の含意
🔬研究者:Methodology (ARDL with LCF) is useful for energy-environment research; demographic variable adds novelty.
🏢実務担当者:Energy R&D planners can use findings to justify shifting budgets toward renewables and nuclear.
🏛政策担当者:Highlights need to integrate ageing policy with green transition; suggests phasing out fossil R&D subsidies.
📄 Abstract（原文）
Environmental (ENV) concerns now occupy a central position in policy agendas alongside countries’ economic objectives. Achieving the Sustainable Development Goals (SDGs), with a particular focus on affordable and clean energy, requires redirecting investments toward clean energy technologies and scaling them effectively. This study assesses ENV sustainability in Germany through the Load Capacity Factor (LCF) and investigates the technology and innovation dimension of the energy transition by integrating energy-type-specific R&D budgets (fossil, renewable, and nuclear) with demographic ageing dynamics. The analysis utilizes annual data for 1974–2023, including LCF, GDP, fossil/REN/NUC energy R&D expenditures, and the population aged 65 and over, and examines both long- and short-run relationships using the ARDL bounds testing approach and an error correction model (ECM). The results confirm the existence of a long-run cointegration relationship among the variables and indicate that GDP significantly reduces LCF in the long run. Similarly, fossil energy R&D exerts a negative effect on LCF, and population ageing is found to weaken ecological sustainability. In contrast, REN and NUC energy R&D expenditures significantly increase LCF, suggesting that clean energy innovation functions as a reinforcing channel for ecological balance. Accordingly, the findings imply the gradual reduction of fossil-oriented R&D and incentives, the expansion of REN and NUC R&D funding, and the management of ageing-induced health and care demand in alignment with green transition standards.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.70736/ijoess.2300first seen 2026-07-18 05:22:46
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