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The Impact of Value Chain Structure in the AI-based Biomedical Industry on Regional Comparative Advantage: Evidence from the 5 Mega-Regions and 3 Special Zones

  • Industry Promotion Research
  • Abbr : IPR
  • 2026, 11(2), pp.159~178
  • DOI : 10.21186/IPR.2026.11.2.159
  • Publisher : Industrial Promotion Institute
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Received : March 27, 2026
  • Accepted : April 16, 2026
  • Published : April 30, 2026

Doyeon Lee 1 Keunhwan Kim 1

1한국과학기술정보연구원

Accredited

ABSTRACT

This study analyzes the value chain structure and interregional spatial linkages in the AI-based biomedical industry. Using national R&D project data from 2021 to 2025, it examines investment patterns across Korea’s five major regions and three special zones. The industry is divided into five value chain stages, and the revealed specialization index (RSI), value chain balance index (VCBI), and spatial spillover density (Ω) are applied to assess specialization, internal balance, and diffusion potential. The results show that the Capital region demonstrates both high investment concentration and a balanced structure across all stages, representing a full-cycle system. The Daegyeong region exhibits strong specialization in preclinical and manufacturing stages but low internal balance, indicating a stage-concentrated structure. The Central, Honam, and Southeastern regions act as intermediary hubs facilitating functional complementarity and stage transitions, although some show limited spillover effects. These findings indicate that the industry is evolving into a functionally differentiated and regionally interconnected value chain system, providing empirical support for regional specialization and supra-regional collaboration policies.

Citation status

* References for papers published after 2024 are currently being built.

This paper was written with support from the National Research Foundation of Korea.