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Cross-border data flow regulations and the structure of the global NEV industrial chain

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  • Changshuai Cao

Abstract

This study employs complex network modeling to examine the impact of cross-border data flow regulations on the structure of the global new energy vehicle (NEV) industrial chain. Using CPEII-BACI data from 2007 to 2022, trade networks across various NEV industrial chain segments are constructed and analyzed from both static and dynamic perspectives. The empirical analysis shows that the network position of data flow regulations significantly strengthens the structure of the NEV industrial chain, with more pronounced effects under conditions of linguistic dissimilarity, economic inequality, restricted trade openness, and deeper regulatory commitments. The mechanism analysis reveals that regulatory centrality strengthens the structure by reducing institutional transaction costs and spatial dependency costs.

Suggested Citation

  • Changshuai Cao, 2026. "Cross-border data flow regulations and the structure of the global NEV industrial chain," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 35(4), pages 1001-1028, May.
    • Handle: RePEc:taf:jitecd:v:35:y:2026:i:4:p:1001-1028
    DOI: 10.1080/09638199.2026.2666276
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