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The Impact of National Capacity on the AI Environment: The Moderating Role of Digital Product Market Regulation (Digital PMR)

  • Journal of Regulation Studies
  • 2026, 35(1), pp.39~71
  • Publisher : 한국규제학회
  • Research Area : Social Science > Public Administration
  • Received : January 2, 2026
  • Accepted : May 12, 2026
  • Published : June 30, 2026

JUNG JIEUN 1

1고려대학교

Accredited

ABSTRACT

This study empirically examines how national digital capacity and government capacity influence the development of the artificial intelligence (AI) environment under varying levels of Digital Product Market Regulation (Digital PMR). While previous studies have primarily focused on the direct effects of regulatory intensity, this study adopts a regulatory governance perspective to investigate how AI environments are shaped through the interaction between Digital PMR and national capacities. Using panel data from OECD countries covering the period 2020–2024, a mixed-effects model was employed for empirical analysis. Data Representativeness and AI Infrastructure were used as dependent variables. Digital Capacity and Government Capacity were included as independent variables, while Digital PMR served as the moderating variable. The results indicate that higher levels of Digital PMR are negatively associated with both Data Representativeness and AI Infrastructure. However, the interaction between Digital PMR and Government Capacity significantly affects both dimensions of the AI environment. In addition, the interaction between Digital Capacity and Digital PMR has a significant effect on AI Infrastructure but does not significantly influence Data Representativeness. These findings suggest that the effects of national policy implementation capacity and digital administrative capacity on AI environment development vary depending on the level of digital market regulation. Furthermore, this study highlights the need to understand regulation in emerging technology sectors not merely as a constraint but as a governance mechanism that interacts with national capacities to shape AI development outcomes.

Citation status

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