The Digital-Green Twin Transition: A Framework for Digital Transformation and Clean Energy Integration in the Agro-Industrial Sectors of Russia and Kazakhstan
デジタル-グリーンツイン移行: ロシアとカザフスタンの農工業部門におけるデジタルトランスフォーメーションとクリーンエネルギー統合の枠組み (AI 翻訳)
E. Rustenova, A.D. Ibyzhanova, Aizhamal Aidaraliyeva, S. Barykin, O. Voronova, I. Penkova, Sara Daniali
🤖 gxceed AI 要約
日本語
本研究は、ロシアとカザフスタンの農工業部門におけるデジタルトランスフォーメーション（DT）とクリーンエネルギー統合（CEI）の関係を分析。2000～2024年のデータを用いた計量経済分析の結果、DTと環境政策が温室効果ガス排出削減に有意に寄与することが示された。「デジタル-グリーンツイン」アプローチを提案。
English
This study examines the relationship between Digital Transformation and Clean Energy Integration in the agro-industrial sectors of Russia and Kazakhstan. Using econometric methods on data from 2000-2024, it finds that digital transformation and environmental policy significantly reduce greenhouse gas emissions. The "Digital-Green Twin" approach positions digitalization as key for renewable energy adoption.
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
日本では農工業分野でのDXと脱炭素の統合が進む中、本論文の「デジタル-グリーンツイン」枠組みはスマート農業や工場のエネルギー管理に示唆を与える可能性がある。ただし、対象国がロシアとカザフスタンであるため、直接的な政策適用には注意が必要。
In the global GX context
This paper adds to the literature on digitalization and decarbonization in emerging economies, offering empirical evidence from Russia and Kazakhstan. The "Digital-Green Twin" concept may be applicable to other industrializing regions, but the specific country contexts limit direct transferability.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the synergy between digital transformation and clean energy in agro-industrial sectors, using advanced panel econometrics.
🏢実務担当者:The "Digital-Green Twin" framework may inspire strategies for integrating digital tools and renewable energy in industrial operations.
🏛政策担当者:Offers a scalable policy roadmap for aligning digitalization with carbon-neutral goals in emerging economies.
📄 Abstract（原文）
This study examines the relationship between Digital Transformation (DT) and Clean Energy Integration (CEI) in the agro-industrial sectors of emerging economies, with a focus on Kazakhstan and Russia. As these countries pursue industrial growth while meeting climate commitments, the research evaluates how digital maturity and green financial frameworks drive decarbonization. Using secondary data from 2000 to 2024, the study applies advanced econometric methods, including Cross-Sectionally Augmented IPS (CIPS) unit root tests and the Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) model, to address cross-sectional dependence and structural breaks. Results show that both Digital Transformation and Environmental Policy (EP) significantly reduce Greenhouse Gas Emissions (GHGE) in the long term, with coefficients of −1.730 and −2.289, respectively. Green Financial Innovation (GFI) and Circular Capacity (CC) also play key roles in lowering carbon intensity. The Error Correction Term (ECT) of −1.120 suggests a rapid adjustment toward the long-run equilibrium. This research introduces a holistic “Digital-Green Twin” approach, positioning digitalization as the foundation for renewable energy adoption in large-scale agro-industrial processing. The findings offer a scalable roadmap for policymakers to align technological progress with carbon-neutral industrial objectives.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.32479/ijeep.22491first seen 2026-05-15 19:46:12
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