気候スマート技術普及期における都市エネルギー転換：中国282都市の段階的証拠
Urban Energy Transition During Climate-Smart Technology Diffusion: Stage-Dependent Evidence from 282 Chinese Cities (原題)
Jiapeng Li, Yishuang Liu
🤖 gxceed AI 要約
日本語
中国282都市の2010-2019年データを用い、気候スマート技術の普及が都市のエネルギー転換（炭素排出強度の逆指標）に及ぼす影響を分析。固定効果モデルにより、技術普及がある閾値（3.35）を超えると効果が促進的に転じる非線形関係を発見。エネルギー効率と気候への関心が経路として示唆され、非資源依存都市や「ブロードバンド中国」試行対象外都市で顕著。
English
Using panel data from 282 Chinese cities (2010-2019), this study finds a stage-dependent, non-linear effect of climate-smart technology diffusion on urban energy transition (proxied by carbon intensity). A turning point at 3.35 indicates technology constrains transition at low diffusion but facilitates it beyond the threshold. Energy intensity and climate attention are potential channels, with stronger effects in non-resource-dependent and non-Broadband-China cities.
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
中国の都市データに基づく実証研究だが、技術普及の段階に応じた政策効果の非線形性は、日本の自治体や企業が脱炭素技術導入を進める際のタイミング戦略に示唆を与える。SSBJ対応や地域脱炭素ロードマップ策定において、技術普及の臨界点を考慮した施策設計の重要性を示す。
In the global GX context
This study contributes to global energy transition literature by demonstrating that climate-smart technology diffusion has a threshold effect on urban decarbonization. The findings inform international policy frameworks (e.g., ISSB, transition finance) by highlighting the need for coordinated digital and energy efficiency investments to unlock positive technology impacts.
👥 読者別の含意
🔬研究者:Provides empirical evidence of non-linear technology diffusion effects on energy transition, useful for modeling and policy design.
🏢実務担当者:Highlights the importance of reaching a technology diffusion threshold to achieve positive decarbonization outcomes, relevant for corporate investment timing.
🏛政策担当者:Suggests that policies should support technology diffusion beyond a critical mass to enable energy transition, with implications for digital infrastructure and energy efficiency programs.
📄 Abstract（原文）
Urban energy transition requires the deployment of clean energy alongside technologies that lower the carbon intensity of urban economic activity. Yet the effect of climate-smart technology may change with the stage of technology diffusion. Using city-level data from 282 Chinese cities between 2010 and 2019, this study uses carbon emission intensity as an inverse indicator of urban energy transition, and tests whether climate-smart technology affects it linearly or in a stage-dependent manner. This study employs a fixed-effects specification, supplemented by exploratory channel and heterogeneity analyses. The results show a stage-dependent relationship with a turning point of 3.35, which lies 0.44 standard deviations below the mean. This indicates that while climate-smart technology constrains urban energy transition at low levels, it can facilitate transition once past this threshold, and positive effects prevail for most observations in our sample. The channel analyses suggest that energy intensity and climate attention may represent potential pathways associated with this shift. The heterogeneity results show that the non-linear pattern is more evident in non-resource-dependent cities and in cities excluded from the “Broadband China” pilot programme. These findings suggest that climate-smart technology supports the energy transition when digital diffusion is coordinated with energy efficiency improvements, cleaner infrastructure operations, and more precise environmental governance.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/en19174032first seen 2026-08-29 04:47:19
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