IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v74y2025icp991-1007.html
   My bibliography  Save this article

Assessing the dynamics of supply risks in the global polysilicon trade network: A multidimensional analysis from 2000 to 2022

Author

Listed:
  • Wang, Chao
  • Zhang, Lei
  • Hu, Xiaoqian
  • Zhao, Qiuyun

Abstract

The global polysilicon trade network (GPSTN) has evolved into an increasingly intricate system, shaped by geopolitical tensions, environmental challenges, and health crises, intensifying concerns over energy security. As a critical material for photovoltaic cells, polysilicon constitutes an indispensable component for the global transition towards renewable energy. However, quantitative assessments of country-specific vulnerabilities during polysilicon supply disruptions remain limited. This study addresses this gap by analyzing the GPSTN from 2000 to 2022, utilizing an improved cascading failure model and a comprehensive assessment framework. The framework quantifies countries' roles as risk initiators, transmitters, and vulnerable recipients through three novel indicators: destructiveness, transmissibility, and vulnerability. The analysis reveals the United States' persistent dominance in destructiveness since 2000, the escalating destructiveness of Asian countries, the pronounced transmissibility of China and the United States, and the heightened vulnerability of Japan and China stemming from their import dependence. This multidimensional approach elucidates country-specific roles during supply disruptions and advances targeted recommendations for policymakers to strengthen supply chain resilience and stability. The findings demonstrate the critical importance of considering multiple dimensions when evaluating a country's position in the polysilicon trade network and highlight the need for customized risk mitigation strategies.

Suggested Citation

  • Wang, Chao & Zhang, Lei & Hu, Xiaoqian & Zhao, Qiuyun, 2025. "Assessing the dynamics of supply risks in the global polysilicon trade network: A multidimensional analysis from 2000 to 2022," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 991-1007.
  • Handle: RePEc:eee:streco:v:74:y:2025:i:c:p:991-1007
    DOI: 10.1016/j.strueco.2025.07.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X2500116X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.strueco.2025.07.002?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:streco:v:74:y:2025:i:c:p:991-1007. 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.elsevier.com/locate/inca/525148 .

    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.