RESEARCH PAPERS

Event Evolutionary Graph Analysis of U.S. Semiconductor Technology Restrictions on China and Its Impact Assessment

  • Zhang Jingyi ,
  • Geng Ruibin ,
  • Zhao Yiming
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  • 1 Center for Studies of Information Resources, Wuhan University, Wuhan 430072;
    2 School of Information Management, Wuhan University, Wuhan 430072;
    3 National Demonstration Center for Experimental Library and Information Science Education, Wuhan University, Wuhan 430072;
    4 School of Management, Northwestern Polytechnical University, Xi'an 710072;
    5 Big Data Institute, Wuhan University, Wuhan 430072
Zhang Jingyi, master candidate; Geng Ruibin, associate professor, doctoral supervisor, corresponding author, E-mail: grace. bin1207@gmail.com; Zhao Yiming, professor, doctoral supervisor.

Received date: 2023-10-24

  Revised date: 2024-02-21

  Online published: 2025-02-11

Supported by

This work is supported by the key research project of the Ministry of Education for Humanities and Social Sciences, titled “Research on the Identification Methods and Innovation Mechanisms of Disruptive Technologies for National Self-Reliance in Science and Technology” (Grant No. 22JJD870004) and the project of Xi’an Science and Technology Association Youth Talent Support Plan, titled “Modeling and Prediction of Individual Cognitive Tendencies in Online Public Opinion Events Based on Event-Reason Graphs” (Grant No. 095920221339).

Abstract

[Purpose/Significance] Against the backdrop of the intensifying U.S. semiconductor technology restrictions on China, it is strategically imperative to delve deeper into the intricate operational chains and dynamic evolutionary patterns embedded in the impact of U.S. technology export controls, assisting decision-makers to gain insight to the evolution paths of policy impacts, gauge the effectiveness of the countermeasures, and update their policy planning. [Method/Process] This study proposed a method for identifying the evolution paths of policy impact based on event evolutionary graph. From the perspective of the dynamically evolving nature of the events, it introduced the Markov chain model to identify critical evolution paths of events in the graph. It analyzed the impact of U.S. technology restrictions on major associated entities across the upstream, midstream, and downstream segments of China’s semiconductor industry and their evolution trends, thereby assessed the complex mechanisms influencing various stakeholders. [Result/Conclusion] The findings reveal that there are significant differences in the evolution characteristics of events among entities at different sectors of the industry chain. Government-led pre-interventions pose a crucial impact on the positive orientation of event evolution, while market-responsive events have an important feedback role in the paths. Consequently, it is imperative to prioritize policy implementation to develop a multi-level, full-chain policy system encompassing the entire industry, foster the collaborative efforts of government, industry, academia, and research to advance breakthroughs in key core technologies within the semiconductor field, and promote cooperative synergy among enterprises across the upstream, midstream, and downstream sectors to establish a secure, autonomous, and collaboratively innovative semiconductor industry ecosystem.

Cite this article

Zhang Jingyi , Geng Ruibin , Zhao Yiming . Event Evolutionary Graph Analysis of U.S. Semiconductor Technology Restrictions on China and Its Impact Assessment[J]. Library and Information Service, 2025 , 69(3) : 47 -63 . DOI: 10.13266/j.issn.0252-3116.2025.03.005

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