Remote Sensing-Based Identification of Spatial Spillovers and Transmission Pathways in the Heat–Energy–Carbon Nexus: Evidence from the Yangtze River Delta
熱・エネルギー・カーボンネクサスにおける空間的波及効果と伝達経路のリモートセンシングによる特定：長江デルタからの証拠 (AI 翻訳)
Gaoneng Lai, Lei Jiang, Yingbiao Chen, Shitai Bao, Jinxin Duan, Zuojie Zhu
🤖 gxceed AI 要約
日本語
本研究は、リモートセンシングと空間計量経済モデルを用い、長江デルタ都市圏におけるヒートアイランド効果とCO2排出の関連性を分析。エネルギー活動強度の媒介効果が44.63%を占めることを発見し、地域横断的な気候ガバナンスの必要性を示唆。
English
Using remote sensing and spatial econometric models, this study analyzes the relationship between urban heat island effect and CO2 emissions in the Yangtze River Delta, finding that the mediation effect of energy activity intensity accounts for 44.63% of the total association, suggesting the need for cross-regional climate governance.
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
日本の大都市圏（東京・大阪）にも同様の空間波及が存在する可能性があり、都県を超えた気候政策の調整に示唆を与える。また、物理的冷却策だけでなく、行動規制を含む統合的アプローチの重要性を提起。
In the global GX context
This paper provides empirical evidence on the spatial spillover of carbon emissions and the mediating role of energy activities, which is relevant for global urban climate governance. It highlights the need to move beyond single-city interventions to cross-regional coordination, which aligns with ISSB and TCFD's emphasis on systemic risks.
👥 読者別の含意
🔬研究者:Spatial econometric methods for carbon-climate interactions; mediation analysis approach can be replicated in other regions.
🏢実務担当者:Urban planners and local government officials can use insights on cross-regional coordination for climate action plans.
🏛政策担当者:Supports the case for integrated regional climate policies that combine physical cooling with demand-side energy regulation.
📄 Abstract（原文）
The urban heat island (UHI) effect represents a critical urban climate phenomenon arising from the combined pressures of rapid urbanization and climate warming. Although its association with carbon emissions has received increasing scholarly attention, the underlying behavior-mediated pathways and cross-regional spillover patterns remain insufficiently understood. Using multi-source geospatial data for the Yangtze River Delta urban agglomeration from 2014 to 2023, this study develops a multi-scale analytical framework integrating 1 km urban agglomeration exploratory analysis and 5 km spatial econometric modeling. Anthropogenic Energy Activity Intensity (AEAI) is constructed as a proxy for energy-related human activities, and a spatial Durbin model, combined with a spatial mediation approach, is employed to examine the spatial associations and statistically mediated pathways within the “heat-energy-carbon” nexus. The results indicate that: (1) carbon emissions exhibit significant positive spatial spillover effects, consistent with thermal diffusion processes and socioeconomic network interactions; (2) AEAI represents a substantial partial statistical mediation pathway in the association between UHI and carbon emissions, accounting for 44.63% of the total association. This suggests that the UHI–carbon emission linkage is partly embedded in spatial patterns of energy-intensive human activities rather than reflecting a purely direct thermal effect. These findings suggest that regional climate governance may need to move beyond single-city interventions and purely physical cooling strategies toward integrated approaches that combine cross-regional coordination with behavioral regulation. Promoting passive cooling-oriented urban planning and demand-side energy transitions may help reduce carbon lock-in risks and support the development of climate-resilient urban agglomerations.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.3390/rs18132222first seen 2026-07-13 07:27:21
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