Environmental quality in the shadow of geopolitical risk: the roles of eco-innovation and resource efficiency in OECD countries
地政学的リスクの影における環境品質：OECD諸国におけるエコイノベーションと資源効率の役割 (AI 翻訳)
Yaru Wang, Mingxuan Zhu, Mahmood Ahmad, Yuhao Wu, Yukun Shan
🤖 gxceed AI 要約
日本語
本研究は1990～2021年のOECD諸国を対象に、エコイノベーション、資源効率、地政学的リスクが環境品質（CO2排出）に与える影響を分析。MM-QREGと機械学習（ANN、GBDT）を用い、エコイノベーションは全分位でCO2を削減、資源効率も相乗効果を持つことを発見。地政学的リスクは直接影響しないが、エコイノベーションの効果を弱める。GDPと都市化は排出増加要因。政策としてエコイノベーション強化と資源効率向上、地政学的不確実性への対応を提言。
English
This study examines the roles of eco-innovation, resource efficiency, and geopolitical risk on environmental quality (CO2 emissions) across OECD countries from 1990 to 2021. Using MM-QREG and machine learning (ANN, GBDT), it finds that eco-innovation consistently reduces emissions across all quantiles, with resource efficiency showing synergistic effects. Geopolitical risk does not directly affect emissions but weakens the mitigation impact of eco-innovation. GDP and urbanization increase emissions. Policy implications include strengthening eco-innovation, improving resource efficiency, and addressing geopolitical uncertainties.
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
OECD加盟国である日本にとって、エコイノベーションと資源効率の政策連携はGX実現に直結する。地政学リスクがイノベーション効果を減衰させる点は、国際情勢を考慮した政策設計の重要性を示唆。
In the global GX context
This paper provides robust empirical evidence on the interplay between eco-innovation, resource efficiency, and geopolitical risk in reducing CO2 emissions across OECD countries. It reinforces the need for integrated climate policies that decouple economic growth from emissions, relevant to global GX frameworks like the Paris Agreement and SDGs.
👥 読者別の含意
🔬研究者:Demonstrates the complementary roles of eco-innovation and resource efficiency, and the moderating effect of geopolitical risk, using advanced econometric and machine learning methods.
🏢実務担当者:Highlights the importance of investing in eco-innovation and resource efficiency to reduce carbon footprint, while being aware of geopolitical uncertainties that can undermine these efforts.
🏛政策担当者:Provides evidence for prioritizing eco-innovation and resource efficiency in national climate strategies, and for addressing geopolitical risks to maintain policy effectiveness.
📄 Abstract（原文）
Climate change mitigation has become an urgent global priority, particularly for OECD countries that face mounting pressure to reconcile sustained economic growth with significant reductions in carbon emissions. Against this backdrop, this study aims to examine the roles of eco-innovation, resource efficiency, and geopolitical risk in shaping environmental quality across OECD nations from 1990 to 2021. To achieve this, the study employed a comprehensive methodological framework that integrates Method of Moments Quantile Regression (MM-QREG) to capture distributional heterogeneity across the 10th–90th CO₂ emission quantiles, with machine learning approaches, including Artificial Neural Networks (ANN) and Gradient Boosting Decision Trees (GBDT), to validate potential nonlinear relationships and ensure robustness. The empirical findings reveal that eco-innovation consistently exerts a negative and statistically significant effect on CO₂ emissions across all quantiles, highlighting its stable mitigation role, while resource efficiency further reduces emissions and exhibits a synergistic effect with eco-innovation, particularly at lower emission levels. In contrast, geopolitical risk does not directly influence CO₂ emissions but weakens the emission-reducing impact of eco-innovation. Additionally, GDP and urbanization are found to increase CO₂ emissions, with GDP effects being more pronounced at lower quantiles. These findings suggest that policymakers in OECD countries should prioritize strengthening eco-innovation systems, improving resource efficiency, and addressing geopolitical uncertainties, while promoting development pathways that effectively decouple economic growth from carbon emissions to achieve long-term climate mitigation and sustainable development goals.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1057/s41599-026-07530-3first seen 2026-05-17 07:26:25 · last seen 2026-05-20 05:16:31
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