-
MS TeamsAdd to calendar
Haishi Li (The University of Hong Kong) - Trade Policy Uncertainty and Supply Chain Disruptions: Firm-Level Evidence from "Liberation Day"
BOFIT Seminar - Haishi Li (The University of Hong Kong) - Trade Policy Uncertainty and Supply Chain Disruptions: Firm-Level Evidence from "Liberation Day"
Co-authors: Gustavo De Souza (Federal Reserve Bank of Chicago), Ziho Park (University of Sussex), and Yulin Wang (University of Hong Kong)
Abstract
On April 2, 2025, U.S. President Donald Trump announced the “Liberation Day” tariffs, triggering a sharp country-specific surge in trade policy uncertainty. The proposal threatened U.S. trade partners with additional tariffs ranging from 10% to 50%, with implementation conditional on bilateral negotiation outcomes. Using transaction-level U.S. import data, we find that during the April—July 2025 negotiation window, firms rapidly shifted sourcing from high- to low-tariff-risk countries with near one-for-one replacement. As a result, firms’ total imports remained largely unchanged, but import prices increased. U.S. importers therefore primarily responded by reallocating import sources rather than by reshoring or stockpiling. This preemptive reallocation was disproportionately driven by firms with inventory-, contract-, and trade-finance-intensive supply chains, consistent with their high vulnerability had tariffs taken effect before they could adjust. Our findings demonstrate that even brief periods of trade policy uncertainty can significantly disrupt supply chains.
Online BOFIT seminars are open to all researchers interested in the subjects covered. The seminar will be recorded and the recording will be shared only with registered participants. Those wishing to attend a seminar are kindly asked to register in advance, by filling in the Online Registration Form.
The registration for the seminar is open until 9:00 am the day of the seminar. You will receive a link to join the seminar by email at the latest one hour before the seminar is scheduled to begin.
