中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Structural evolution and driving mechanisms of the global wind power equipment trade network

文献类型:期刊论文

作者Wu, Aiping3; Zhang, Xiaoping3; Chen, Mingxing1,2,3; Lian, Wenhua3; Song, Jiawen3
刊名RENEWABLE ENERGY
出版日期2026-04-01
卷号261页码:125276
关键词Wind power equipment trade network Motif detection Driving mechanism Temporal exponential random graph model Gravity model
ISSN号0960-1481
DOI10.1016/j.renene.2026.125276
产权排序2
文献子类Article
英文摘要Driven by trade barriers, geopolitical tensions, and the global energy transition, the global trade network of wind power equipment is undergoing structural restructuring. Using complex network analysis, motif detection method, TERGM, and gravity model, this study characterizes the network's structural evolution from the perspective of technological complexity and examines its driving mechanisms. The results show that the United States, Germany, and China occupy the network's core as major exporters. The hierarchy of core technological component trade is becoming more rigid, while that of structural support components is flattening. Motif analysis reveals a diffusion-oriented pattern with intermediary nodes for core components and a centralized direct-supply pattern for structural components. Developed countries strengthen their dominance in high-tech segments but weaken in lower-value ones, whereas China shows comprehensive progress across the value chain. The evolution of the global wind power equipment trade relationships reflects the joint influence of endogenous structural features, exogenous network effects, and actor heterogeneity. Linguistic proximity, shared borders, reciprocity, structural closure, and the technological and economic development levels of countries all exert a positive influence on the evolution of the trade network. PPML gravity estimation further indicates that tariff barriers strongly inhibit bilateral trade in core components, while technical barriers mainly restrict structural components, with heterogeneous interaction effects among policy tools. The findings offer insights for promoting energy transition, reducing trade risks, and advancing high-quality development of the global new energy trade.
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WOS关键词RENEWABLE ENERGY ; CENTRALITY
WOS研究方向Science & Technology - Other Topics ; Energy & Fuels
语种英语
WOS记录号WOS:001674692200001
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/220889]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Zhang, Xiaoping
作者单位1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;
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GB/T 7714
Wu, Aiping,Zhang, Xiaoping,Chen, Mingxing,et al. Structural evolution and driving mechanisms of the global wind power equipment trade network[J]. RENEWABLE ENERGY,2026,261:125276.
APA Wu, Aiping,Zhang, Xiaoping,Chen, Mingxing,Lian, Wenhua,&Song, Jiawen.(2026).Structural evolution and driving mechanisms of the global wind power equipment trade network.RENEWABLE ENERGY,261,125276.
MLA Wu, Aiping,et al."Structural evolution and driving mechanisms of the global wind power equipment trade network".RENEWABLE ENERGY 261(2026):125276.

入库方式: OAI收割

来源:地理科学与资源研究所

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