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Economic Performance in Green Energy Transition Towards the New Normal Framework: Drivers and Blockers of Green Energy Productivity

新たな正常枠組みに向けたグリーンエネルギー移行における経済パフォーマンス:グリーンエネルギー生産性の推進要因と阻害要因 (AI 翻訳)

Zaharia A, Brad L, Petre MB, Chiciudean I, Chiciudean G

Research Squareプレプリント2026-05-07#エネルギー転換Origin: EU
DOI: 10.20944/preprints202605.0324.v1
原典: https://doi.org/10.20944/preprints202605.0324.v1

🤖 gxceed AI 要約

日本語

本論文は、EU加盟国(2007~2023年)を対象に、グリーンエネルギー生産性(GEP)の推進要因と阻害要因を分析。グリーン税制、女性労働参加率、高等教育がGEPに正の影響を与え、経済成長や従来型エネルギー変数は負の影響を与えることを発見。研究開発投資や都市化の影響は議論の余地がある。

English

This paper analyzes drivers and barriers of green energy productivity (GEP) in EU member states (2007-2023) using bibliometric analysis and panel data regression. It finds positive effects of green taxes, female labor participation, and education, while economic growth and traditional energy variables show negative impacts. The role of R&D investment and urbanization remains debatable.

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

日本ではGX推進の一環としてグリーン税制や人的資本投資が注目されている。本論文はEUの実証結果から、日本がグリーンエネルギー生産性を向上させる上で政策デザイン(税制、教育、女性活躍)の重要性を示唆する。

In the global GX context

This paper offers empirical evidence on policy levers for green energy productivity in a developed economy context. While focused on the EU, its findings on green taxation, education, and gender equality are relevant for global climate policy discussions, including Japan's GX strategy and international frameworks like the SDGs.

👥 読者別の含意

🔬研究者:Provides a comprehensive panel data analysis on green energy productivity, identifying key determinants and methodological approaches for future studies.

🏢実務担当者:Offers insights for corporate sustainability teams on how macroeconomic and policy factors (e.g., green taxes) can influence green energy productivity in their operations.

🏛政策担当者:Highlights the positive impact of green tax policies, female workforce participation, and education on green energy productivity, informing policy design for energy transition.

📄 Abstract(原文)

In the context of SDG 7 and SDG 13 of the 2030 sustainable development agenda, a new performance indicator started to gain momentum in scientific research: the renewable energy productivity. Understanding the drivers and the challenges of green energy productivity could help add on to the classical focus of renewable energy research on infrastructure, technical and economic feasibility, environmental and social impacts, by considering more the performance indicators in this field. Only very few studies explored the influencing factors of the renewable energy productivity. Thus, this research aims to reveal the impact of social, economic, energy, and environmental variables on the green energy productivity. The methodological approach involves bibliometric analyses of the literature on green energy productivity (GEP), and panel data regression models involving 16 independent variables. The main findings indicate positive effects of green taxes, female participation in the workforce, and highly educated people on GEP, pointing out the importance of green taxation, education, and gender equality in sustainable development. On the other side, negative relationships of green energy productivity with economic growth, traditional energy variables, and air pollution were found for the European Union’s member states over 2007 and 2023. The results suggest that the analyzed European countries based their economic growth on traditional resources, with less importance provided to the renewable resources and green technologies, as the share of renewable resources of GDP was also negatively correlated. While private financial resources increases the green energy productivity, questions about research and development investments, urbanization, and diversity index are still debatable.

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