中国における持続可能なインフラのためのグリーン・低炭素都市更新能力：空間ネットワーク分析
Green and Low-Carbon Urban Renewal Capacity for Sustainable Infrastructure in China: A Spatial Network Analysis (原題)
Wenxin Cai, Jianbo Hu, Yu Haichao
🤖 gxceed AI 要約
日本語
中国30省級地域の2020〜2024年について、グリーン低炭素都市更新能力を6次元18指標で指数化した。全国平均は0.222から0.360へ上昇し、2021年以降は空間的自己相関が有意に正となった。修正重力モデルによる省間連携ネットワークは疎で、流入・流出・仲介の役割が分化。都市化段階や財政自立性、建設能力、地理的近接が連携と正に関連した。
English
The study builds an 18-indicator, six-dimension index of provincial capacity for green low-carbon urban renewal across 30 Chinese regions (2020–2024). The national mean rose from 0.222 to 0.360, and spatial autocorrelation turned significantly positive from 2021. A modified gravity model yields a sparse interprovincial cooperation network with distinct incoming, outgoing, and brokerage roles, linked to urbanization stage, fiscal autonomy, construction capacity, and adjacency.
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
中国の省級能力評価と空間ネットワーク分析は、日本の自治体・都市の脱炭素計画や地域間連携（広域連携・脱炭素先行地域）を設計する際の指標設計・ベンチマーク手法として参考になる。SSBJや有報開示とは直接の接続は薄い。
In the global GX context
Offers a replicable methodology for subnational capacity benchmarking and interregional cooperation mapping, relevant to cities and regions operationalizing decarbonization plans under national and international climate frameworks. It does not engage TCFD/ISSB disclosure directly but informs the local implementation layer beneath corporate and sovereign disclosure.
👥 読者別の含意
🔬研究者:Subnational capacity indexing and spatial network methods (entropy weighting, modified gravity, QAP) are transferable to other regional decarbonization studies.
🏢実務担当者:Useful as a benchmark framework for assessing regional readiness when siting or partnering on low-carbon infrastructure projects in China.
🏛政策担当者:Highlights how fiscal autonomy and construction capacity shape interregional cooperation, informing regional coordination and capacity-building policy design.
📄 Abstract（原文）
Rapid urbanization concentrates infrastructure demand and places pressure on public services, environmental quality, and resilience. This study assesses provincial capacity to support green and low-carbon urban renewal in China. It examines how this capacity changes and relates to potential interprovincial connections. An index was constructed from 18 indicators across six dimensions for 30 provincial-level regions during 2020–2024. Dimensions received equal weights, with entropy weighting applied within each dimension. The analysis combined kernel-density estimation, spatial autocorrelation, a modified gravity model, social network analysis, and QAP regression. The national mean index increased from 0.222 to 0.360. Global Moran’s I was insignificant in 2020 but significantly positive in 2021–2024. The network of model-derived potential associations was sparse, with distinct incoming, outgoing, and brokerage positions. Urbanization-stage, fiscal-autonomy, and construction-capacity differences, together with geographical adjacency, were positively associated with these modeled ties. Capacity rankings and modeled network positions provide complementary information for identifying relative renewal-capacity shortfalls and screening potential cooperation partners.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/land15112117first seen 2026-11-08 04:56:05 · last seen 2026-11-13 05:08:25
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