JOURNAL ARTICLE

Competitors or Collaborators? Trade Relationship between South Korea and China in Vietnam's ICT Industry.

  • Published In: Journal of International Commerce, Economics & Policy, 2026, v. 17, n. 1. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Li, Ming Chang; Kim, Bohyun 3 of 3

Abstract

This study delves into the trade relationship between South Korea and China within Vietnam's ICT market. Empirically examining the changes in import volume from both countries into Vietnam, it uncovers a complex interplay of dependency and competition. The research reveals that an increase in South Korea's ICT exports to China indirectly boosts China's export volume to Vietnam, suggesting a mutually dependent trade relationship. Conversely, the rise in China's ICT exports to Vietnam is found to adversely affect South Korea's export performance in the Vietnamese market, highlighting a competitive dynamic between the two nations. Under the SITC-76 and SITC-77 categories, South Korea demonstrates a relative comparative advantage. The study also observes a decline in both countries' export volumes, indicating a shift in the Vietnamese market from a growth phase to maturity as Vietnam's economy evolves. This transition, alongside the expected decrease in South Korea's ICT export share, underscores the urgency for South Korean firms to strategically adapt, taking into account the evolving Vietnamese demands and the intricate competitive landscape with China. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of International Commerce, Economics & Policy. 2026/02, Vol. 17, Issue 1, p1
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2026
  • ISSN:1793-9933
  • DOI:10.1142/S1793993325500279
  • Accession Number:191379156
  • Copyright Statement:Copyright of Journal of International Commerce, Economics & Policy is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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