People-centered energy transition: revealing the synergy between household clean energy consumption and residents’ health with the case of China
人を中心としたエネルギー転換：中国の事例を用いた家庭のクリーンエネルギー消費と住民の健康の相乗効果の解明 (AI 翻訳)
Jiajia Pei, Lingyan Li, Mimi Duan, Jiaxin Zhu, Haoming Xia
🤖 gxceed AI 要約
日本語
本稿は、中国の省別データを用いて家庭のクリーンエネルギー消費と住民の健康の相乗効果を測定。相乗効果は2012〜2022年にかけて向上し、地域差や影響要因を明らかにした。所得、都市化、技術革新が重要であり、ゾーン別の戦略を提案している。
English
This study quantitatively measures the synergy between household clean energy consumption and residents' health across Chinese provinces from 2012 to 2022. The synergy increased over time, with spatial heterogeneity and key drivers including income, urbanization, and innovation. Zoning-based strategies are proposed to enhance the synergy.
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
日本の家庭部門のエネルギー転換と健康便益の統合的評価に示唆を与える。特に、地域別戦略の有効性は、日本の自治体政策にも応用可能。
In the global GX context
Contributes to the global understanding of co-benefits between clean energy adoption and health, supporting SDGs 7 and 3. The zoning approach can inform policy design in other developing and transition economies.
👥 読者別の含意
🔬研究者:Provides a methodological framework for measuring energy-health synergy at subnational level.
🏛政策担当者:Highlights the importance of tailoring clean energy policies to regional socio-economic conditions for health co-benefits.
📄 Abstract（原文）
Advancing energy transition and human health well-being in tandem is key to implementing the people-centered green transition and reaching the global Sustainable Development Goals (SDGs). This study quantitatively measures the synergy between household clean energy consumption (HCEC) and residents’ health (RH) in China provinces from 2012 to 2022, reveals the dynamic evolution and driving mechanism of the synergistic effect between HCEC and RH, and proposes differentiated driving strategies for the different synergy-type zones. Our findings are as follows: (1) The synergy between HCEC and RH increased from 0.400 to 0.673 in 2012–2022, and upgrading to the stage of a transitional upswing. (2) The HCEC–RH synergy exhibited a decreasing trend from southeast to northwest, with high-value regions concentrated in the Beijing–Tianjin–Hebei cluster and the eastern coastal areas. (3) Major factors influencing the spatial patterns of synergy included per capita disposable income, urbanization, and technological innovation. (4) For energy transition zones, factors related to the socio-economic (SE) condition dimension constitute the only direct driving force for improving the HCEC–RH synergy. Population-related (PQM) factors mainly affect HCEC–RH synergy through the PQM → SE → HCEC–RH pathway (indirect effect = 0.671). For synergistic optimization zone, both SE (direct effect = 0.78) and government support (direct effect = 0.40) exert significant positive direct effects on HCEC–RH synergy. Based on these insights, we propose a zoning-based strategy to promote HCEC–RH synergy.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1057/s41599-026-07353-2first seen 2026-05-17 07:10:14 · last seen 2026-05-20 05:16:07
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