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ネットゼロへのデジタル経路：デジタルトランスフォーメーションと都市脱炭素化の非線形ダイナミクスの解剖

Digital Pathways to Net Zero: Dissecting the Nonlinear Dynamics Between Digital Transformation and Urban Decarbonization (原題)

Muhammad Zubair Chishti, Muhammad Qasim Javaid, Daniel Balsalobre‐Lorente

Business Strategy and the Environment📚 査読済 / ジャーナル2026-09-23#エネルギー転換Origin: CN経営インパクト: コスト削減対象セクター: cross_sector
DOI: 10.1002/bse.71579
原典: https://doi.org/10.1002/bse.71579
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🤖 gxceed AI 要約

日本語

中国285都市の2005〜2023年パネルデータを用い、機械学習モデルでICT普及がCO2排出を有意に削減することを示した。効果はエネルギー効率改善、グリーン技術革新、グリーン人材資本の3経路を通じ、資源集約型・高開発都市でより強い。デジタルインフラ整備と地域別政策の必要性を提言する。

English

Using machine-learning models on a panel of 285 Chinese cities (2005–2023), this study finds ICT diffusion significantly mitigates CO2 emissions via energy efficiency, green innovation, and green human capital. Effects are stronger in resource-intensive and highly developed cities, with insignificant impact in less-developed ones. It advances a digital ecological modernization framework and calls for region-specific digital infrastructure policies.

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

中国都市の実証研究だが、デジタル化と脱炭素の非線形関係は、日本の自治体・企業がDXとGXを統合する際の政策設計に示唆を与える。SSBJ・有報での気候関連開示においても、デジタル投資の脱炭素効果を定量的に説明する材料となり得る。

In the global GX context

This paper contributes to the global discourse on digitalization as a decarbonization lever, relevant to TCFD/ISSB disclosure where companies must articulate how digital investments support climate targets. Its machine-learning methodology offers a template for city-level climate-risk and mitigation analysis, though the China focus limits direct cross-national generalization.

👥 読者別の含意

🔬研究者:ICTと都市脱炭素の非線形効果を機械学習で実証した手法と、デジタル生態学的近代化の枠組みが参考になる。

🏢実務担当者:デジタル投資がエネルギー効率・グリーン人材を通じて排出削減に寄与することを示し、GX戦略の根拠として活用できる。

🏛政策担当者:未開発都市へのデジタルインフラ優先投資と、地域産業構造に応じた脱炭素政策設計の必要性を示唆する。

📄 Abstract（原文）

ABSTRACT Effectively managing urban decarbonization in rapidly developing economies is a critical environmental governance challenge of our time. Failing to integrate digital transformation with sustainability strategies exposes structural inefficiencies in urban planning, demanding strategic foresight and institutional resolve to align economic activity with global climate targets. This study examines the dynamic, nonlinear impacts of digital transformation on urban carbon mitigation. Building on ecological modernization theory, it advances a digital ecological modernization perspective, conceptualizing information and communication technology (ICT) as both technological and institutional capital that supports data‐driven environmental governance. To provide actionable insights for environmental managers and policymakers, the empirical strategy employs advanced machine‐learning‐based models to evaluate ICT‐driven CO 2 mitigation across a comprehensive panel of 285 Chinese cities from 2005 to 2023. The results indicate that ICT diffusion significantly and robustly mitigates CO 2 emissions. Mechanism analysis reveals that ICT lowers emissions through three core channels: Improved energy efficiency, stronger green technological innovation, and enhanced green human capital, consistent with scale, composition, and technique effects. Furthermore, heterogeneity analysis reveals that the CO 2 mitigation effect of ICT is stronger in high‐resource‐intensive cities; in terms of development level, ICT significantly reduces CO 2 emissions in highly developed and emerging cities, but its mitigation effect in less‐developed cities is statistically insignificant. Although the empirical focus on China limits cross‐national comparison, it provides granular intra‐regional insights. Strategically, the findings necessitate expediting digital infrastructure in less‐developed cities to unlock mitigation potential and designing region‐specific policies that reflect local industrial structures. This study makes a significant contribution by empirically validating the digital ecological modernization framework. It demonstrates how digital transformation acts as a strategic catalyst for low‐carbon development, providing a scalable blueprint for managing urban decarbonization in emerging economies.

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