弹性(材料科学)
重组
相互依存
环境资源管理
能量转换
心理弹性
功能(生物学)
业务
自然资源经济学
环境经济学
资源(消歧)
气候变化
钥匙(锁)
能量(信号处理)
经济地理学
脆弱性
地理
能源系统
自然资源
持续性
社会生态系统
环境规划
环境科学
适应能力
社会经济发展
三角洲
复杂网络
社会资本
长江
农业
经济体制
适应性
城市群
宏
人力资本
计算机科学
作者
Guijun Li,Donghan Meng
标识
DOI:10.3389/fenvs.2026.1786465
摘要
The global energy transition is profoundly reshaping the structure and function of regional social-ecological systems (SES). From a complex network perspective, this study develops an analytical framework to quantify SES resilience under energy transition. Taking the Yangtze River Delta urban agglomeration as a case study, this study maps the interdependencies among its socioeconomic and ecological elements into a measurable network structure. This allows us to measure system resilience, identify its key drivers, and explore their interactive effects, with the ultimate aim of informing structural optimization pathways. Key findings reveal that: (1) The energy transition has amplified the development gradient among cities. Core cities such as Shanghai, Hangzhou, Nanjing, and Hefei consolidate their leading positions through superior multidimensional resilience capital related to green innovation and infrastructure, whereas some cities in Anhui Province face heightened marginalization risks due to their reliance on traditional energy-intensive industries and insufficient capacity for energy transition. (2) Regionally, a dynamic “core-periphery” structure centered on the Shanghai-Nanjing-Suzhou corridor has been reinforced, with overall network resilience showing an upward trend. This improvement is primarily supported by enhanced connectivity fostered by regional integration and the growth of secondary nodes within emerging green energy and technology chains. (3) Critical drivers of resilience include water resource endowment, external openness, and proactive environmental governance. The nonlinear interactions among these factors highlight that SES resilience during the energy transition emerges from the complex synergy of natural conditions, economic restructuring dynamics, and adaptive policy interventions.
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