IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v261y2026ics0960148126001011.html

Structural evolution and driving mechanisms of the global wind power equipment trade network

Author

Listed:
  • Wu, Aiping
  • Zhang, Xiaoping
  • Chen, Mingxing
  • Lian, Wenhua
  • Song, Jiawen

Abstract

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.

Suggested Citation

  • 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, Elsevier, vol. 261(C).
  • Handle: RePEc:eee:renene:v:261:y:2026:i:c:s0960148126001011
    DOI: 10.1016/j.renene.2026.125276
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148126001011
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2026.125276?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:261:y:2026:i:c:s0960148126001011. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.