Predicting future new technology trade relations among regional comprehensive economic partnership member countries-based on a link prediction method

Xinli Qi, Changping Zhao, Yu Gong, Zhenghui Yuan, Yangyan Shi

Research output: Contribution to journalArticlepeer-review

Abstract

Based on 2009-2018 technical trade data, this article uses link prediction methods to explore RCEP's potential technological innovation cooperation and trade relationship rules from the perspective of physical topology networks and national node attributes, and to predict the possible RCEP technical trade links that may be established in the future. The research results show that: 1) the number of national trading partners in a node country has a positive impact on the potential links of its technology trade; 2) countries with technology trade cooperation will be more likely to conduct technology transactions in the future; 3) there will be more technology trade between RCEP and EU countries in the future; 4) ASEAN countries and enterprises have weak capacity to establish new technological trade relations. Priority should be given to expanding technology trade with other RCEP enterprises to enhance ASEAN's international technology trading capacity.
Original languageEnglish
Pages (from-to)133-164
Number of pages32
JournalInternational Journal of Technology Management
Volume93
Issue number1-2
DOIs
Publication statusPublished - 2023

Keywords

  • RCEP
  • International technology trade
  • Link prediction
  • Social network
  • Technological innovation cooperation

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