| 英文摘要 |
The evolution of business models, motivated by digital technologies, not only poses challenges to antitrust enforcement, but also promotes the development of science and technology (S&T) with respect to global antitrust regulation. In recent years, some countries and international organizations have intensified the research into antitrust regulatory S&T. Taking the Stanford University’s "Computational Antitrust" project as an example, it has attracted participation of antitrust enforcement agencies from over 60 countries and regions worldwide, reflecting the high attention paid by relevant stakeholders. The nowadays application of regulatory S&T by major antitrust jurisdictions around the world embodies the general trend of computational S&T integration. Antitrust enforcement agencies have paid most attention to automated detection tools to fight against cartels, which are followed by merger control, to which the application of regulatory S&T is in its infancy. Regulatory S&T against abuse of dominant market position has been rarely discussed about. Key issues obstructing the further development of antitrust regulatory S&T include institutional design, data support, technology limitation, and public trust, among others. To improve China’s intelligent antitrust regulation, law enforcement agencies should deepen theoretical research, value data accumulation, prioritize certain behaviors, and pay attention to international development. |
