Spatiotemporal dynamics of low-carbon technology collaboration networks and regional public health governance implications: evidence from China’s Yangtze River Delta
低炭素技術協力ネットワークの時空間ダイナミクスと地域公衆衛生ガバナンスへの示唆：中国・長江デルタからのエビデンス (AI 翻訳)
Feng Hu, Huijie Yang, Yilin Li, Shuang Zhao, X Wang, Zhimin Ren, Shaobin Wei, Jiahan Hu, Shaobo Yang, Haiyan Zhou, Hao Hu, Junyu Cheng
🤖 gxceed AI 要約
日本語
本研究は、中国・長江デルタにおける企業の低炭素特許データ（2014-2023年）を用いて、低炭素技術の協力的イノベーションネットワークの時空間的進化とその駆動要因を分析。上海、寧波、杭州、南京などの核心都市がネットワークの中心として低炭素技術の拡散に重要な役割を果たす一方、合肥や蘇州の中心性が向上。経済規模、金融支援、技術革新能力、政策投資がネットワーク形成の主要因であり、これらが都市の炭素排出削減と環境健康改善に影響を与えることを明らかにした。
English
Using firm-level low-carbon patent data from China's Yangtze River Delta (2014-2023), this study examines the spatiotemporal evolution of collaborative innovation networks. Core cities like Shanghai, Ningbo, Hangzhou, and Nanjing act as key hubs for low-carbon technology diffusion. Economic scale, financial support, technological capacity, and policy investment are main drivers shaping the network, with implications for urban carbon reduction and public health.
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
日本でも地域間の低炭素技術連携がGX推進に重要だが、本論文のネットワーク分析手法や政策含意は、例えば関東・関西圏などの地域連携評価に応用可能。特に、中都都市（例：合肥）の中央性向上は、日本の地方都市のGXハブ化戦略に示唆を与える。
In the global GX context
While focused on China, this paper's network analysis methodology and findings on core-periphery dynamics in low-carbon innovation collaboration are globally relevant for regional decarbonization strategies. It highlights how economic scale and policy investment shape network centrality, which can inform regional climate governance in contexts like the EU's smart specialization or US regional innovation hubs.
👥 読者別の含意
🔬研究者:Demonstrates a multi-method approach (spatial statistics, social network analysis, geographic detectors) to analyze low-carbon innovation networks, offering a replicable framework for other regions.
🏢実務担当者:Provides evidence that strengthening network centrality of peripheral cities through policy support can enhance regional low-carbon technology diffusion and health co-benefits.
🏛政策担当者:Shows that targeted investment in economic and innovation capacity in non-core cities can narrow regional disparities and improve overall carbon governance effectiveness.
📄 Abstract（原文）
Climate change and carbon-intensive development models pose potential long-term risks to public health by exacerbating exposure to air pollution. Promoting low-carbon technological innovation through regional collaboration has become one of the critical pathways to mitigate environmental health risks and to improve public health governance. Based on enterprise low-carbon patent data in the Yangtze River Delta (YRD) from 2014 to 2023, this study integrates spatial statistical analysis, social network analysis, and geographic detector methods to systematically investigate the spatiotemporal evolution, structural characteristics, and driving factors of low-carbon technology collaborative innovation networks. The results show that: (1) The number of low-carbon innovation enterprises in the YRD has grown substantially, with obvious spatial agglomeration. The collaborative innovation network continues to expand, while regional development disparities are widening; (2) Core cities, including Shanghai, Ningbo, Hangzhou, and Nanjing, consistently maintain central positions within the network, serving as critical hubs for low-carbon technology diffusion and regional carbon governance. Meanwhile, cities such as Hefei and Suzhou have achieved a significant increase in network centrality. (3) Economic scale, financial support, technological innovation capacity, and policy investment are the core driving factors shaping network structure and evolutionary patterns, which collectively shape urban carbon emission reduction performance and environmental health improvement. The findings provide empirical evidence to strengthen innovation-driven carbon governance and promote more equitable and resilient regional health systems under the low-carbon transition.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fpubh.2026.1830983first seen 2026-05-23 05:33:50 · last seen 2026-05-27 04:49:48
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