デジタル化・都市開発・低炭素転換システムにおける連携の発展傾向と駆動メカニズム
Development trends and driving mechanisms of coordination in the Digitalization–Urban development–low-carbon transition system (原題)
Wei Chen, Yuxin Zhang, Yao Zhang
🤖 gxceed AI 要約
日本語
中国289市の2010〜2024年パネルデータを用い、デジタル化・都市開発・低炭素転換（DUL）の連携度をCRITIC-エントロピー法とLTCCDで評価。三サブシステムは改善したが発展軌跡が非同期で、連携度は不均衡から協調へ上昇、地域格差は縮小しつつ東中西間の差が主因。GeoDetectorにより多要因の相互作用が単一要因を上回り、協調発展は複合要因の相乗効果に依存することが示された。
English
Using panel data for 289 Chinese cities (2010–2024), this study builds a Digitalization–Urban Development–Low-carbon Transition (DUL) system and measures coordination via CRITIC-entropy weighting and LTCCD. Coordination rose from imbalance toward synergy, with eastern China leading, while interregional gaps remained the main source of disparity. GeoDetector results show multi-factor interactions consistently outweigh single factors, indicating synergy-driven low-carbon urban transition.
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
中国の双炭目標下での都市レベル連携評価は、日本の自治体・都市の脱炭素計画やSSBJ/有報での地域別気候リスク開示を検討する際の方法論的参照になる。ただし日本固有の政策・データではないため、直接適用には留意が必要。
In the global GX context
This contributes to the global literature on subnational decarbonization and just transition, offering a replicable framework for assessing how digitalization and urbanization co-evolve with low-carbon transition. It is relevant to ISSB/CSRD-style regional climate disclosure and to transition finance targeting urban infrastructure, though it does not address disclosure standards directly.
👥 読者別の含意
🔬研究者:都市・デジタル・低炭素の連携を長期パネルで定量化する手法（LTCCD＋GeoDetector）の応用例として参考になる。
🏢実務担当者:都市インフラ・不動産・エネルギー事業者が、地域のデジタル化と脱炭素投資の相乗効果を評価する際の指標設計に示唆。
🏛政策担当者:地域間格差を踏まえ、単一要因でなく複数政策の相乗効果を狙う都市脱炭素政策の設計に有用。
📄 Abstract（原文）
Against the backdrop of sustainable development and China’s Dual Carbon Goals, Digitalization, Urban Development, and Low-carbon Transition continuously interact to shape urban sustainable development. However, the long-term coordination of the Digitalization–Urban Development–Low-carbon Transition (DUL) system and its underlying mechanisms remain insufficiently understood. To address this research gap, using panel data for 289 prefecture-level and above cities in China from 2010 to 2024, this study constructs the DUL system and applies the CRITIC-Entropy Weight Method to evaluate the development levels of the three subsystems and the overall DUL system. The Local and Tele-coupling Coordination Degree (LTCCD) is employed to characterize long-term coordination, while the Dagum Gini coefficient and GeoDetector are used to examine regional disparities and driving mechanisms. Based on this analytical framework, the results show that: (1) the development levels of Digitalization, Urban Development, and Low-carbon Transition all improved continuously, but their evolutionary trajectories differed, resulting in asynchronous development of the DUL system; (2) LTCCD exhibited a sustained upward trend, with coordination gradually evolving from imbalance to coordination, although eastern China consistently outperformed the central and western regions; (3) regional disparities in LTCCD generally narrowed, while interregional differences remained the primary source of spatial disparities, with the largest gap occurring between eastern and western China; and (4) the driving mechanisms of LTCCD evolved over time, with the explanatory power of individual factors changing dynamically, whereas the interaction effects among multiple factors consistently exceeded those of single factors, indicating that the long-term coordinated development of the DUL system mainly depends on multi-factor synergy. Taken together, these findings reveal the spatiotemporal evolution and formation mechanisms of long-term coordinated development in the DUL system and provide theoretical insights for promoting coordinated urban development and low-carbon transition in the digital era.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fenvs.2026.1883112first seen 2026-10-13 04:38:02
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