Title: Artificial Intelligence Development, Institutional Opening and RMB Cross-Border Trade Settlement

Speaker: Li Ting, Doctor of Finance, Shanghai University of Finance and Economics, Associate Research Fellow of the International Monetary Institute, Renmin University of China, Outstanding Graduate of Shanghai. Her research focuses on digital finance and financial technology. She has published more than 10 papers in core journals such as Journal of Financial Research and Journal of Management Science, and written multiple policy consultation reports included in internal reference materials of the Publicity Department of the Central Committee.

Abstract: This lecture introduces the paper Artificial Intelligence Development, Institutional Opening and RMB Cross-Border Trade Settlement. 1. Data and Identification Strategy: Based on cross-border RMB settlement data from the RCPMIS database of the People’s Bank of China, this lecture takes the establishment of national new-generation AI innovation demonstration zones as a quasi-natural experiment and adopts a multi-period staggered DID method to systematically examine the impact of regional AI development on RMB cross-border trade settlement. 2. Mechanism: AI boosts the cross-border use of RMB by expanding trade market share, improving product competitiveness and optimizing trade structure. 3. Heterogeneity: The promotion effect of AI on cross-border RMB settlement is more significant in economically developed regions, countries with close trade ties with China, Belt and Road member states and non-central currency issuing economies.

Date & time: 29 May 2026, 09:00 - 12:00

Venue: Lecture Hall 111, Law School Building, Hongjialou Campus, SDU