AI Readiness, Renewable Energy, and Industrial Development: Structural Approach to Sustainable Growth
AI準備性、再生可能エネルギー、産業発展：持続可能な成長への構造的アプローチ (AI 翻訳)
Sefa Özbek, Mustafa Naimoğlu, Serkan Şahin, Serhat Çamkaya
🤖 gxceed AI 要約
日本語
本論文は2008～2020年の高GDP27カ国を対象に、人工知能（AI）の活用度、再生可能エネルギー利用、工業化、失業率が経済成長に与える影響をパネルデータ分析で検証。技術能力やAIの向上、グリーンエネルギーへの移行が成長を促進する一方、失業が阻害要因となることを示した。
English
This study examines the determinants of economic growth in 27 high-GDP countries (2008-2020) using panel data methods. It finds that AI readiness and technological capacity significantly support growth through productivity gains, while renewable energy use contributes by reducing costs and encouraging investment. Industrialization drives growth through scale economies, but unemployment hampers it.
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
日本でもGX戦略の一環としてAI活用と再生可能エネルギー拡大が進められている。本論文はそれらが経済成長に寄与することを実証し、政策の正当性を補強する。
In the global GX context
This paper adds macro-level evidence to the global discourse on the economic benefits of AI and renewable energy integration, relevant for countries pursuing green growth strategies aligned with the Paris Agreement and SDGs.
👥 読者別の含意
🔬研究者:Useful for researchers studying the macroeconomic impacts of AI and renewable energy adoption, providing panel evidence across advanced economies.
🏢実務担当者:Corporate strategists can leverage findings to advocate for investment in AI and renewable energy as growth drivers.
🏛政策担当者:Policymakers can reference this study to justify coordinated investments in digitalization and green energy infrastructure.
📄 Abstract（原文）
This study examines the determinants of economic growth in the 27 countries with the highest GDP for the period 2008–2020. In the analysis, new generation panel data methods were applied, taking into account cross-sectional dependence that may arise due to common shocks and spillover effects between countries, as well as heterogeneity reflecting countries' institutional and structural differences. In this context, the relationship between growth and artificial intelligence applications and technological competence, renewable energy use, industrialisation level, and unemployment rate was tested. The findings show that increases in technological capacity and artificial intelligence significantly support growth through productivity, innovation, and total factor productivity channels. Furthermore, the shift towards green energy contributes to growth by reducing production costs and encouraging investment in line with energy security and emission reduction. Industrialisation stands out as an important driver of growth through economies of scale and added value growth. In contrast, unemployment, idle labour and weakening domestic demand are holding back growth. Consequently, countries need to strengthen R&D, digital transformation, renewable infrastructure, industrial policies and inclusive employment strategies in a coordinated manner for long-term stability. In this process, education-skills alignment, active labour force programmes and fair transition mechanisms can support growth by reducing the social costs of transformation.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://dergipark.org.tr/en/download/article-file/5647406first seen 2026-07-05 05:38:39
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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。