Work

The spillover effects of trade policy uncertainty on the shipping industry

Year: 2025

Type: article

Abstract: The United States' recent reciprocal tariffs have created great uncertainty for the global trade. This paper studies the spillover effect of trade policy uncertainty (TPU) on the whole shipping industry in quantiles and frequencies. Through wavelet coherence analysis, this paper quantifies the time lags of TPU's propagations, revealing that short-term (1–2 weeks) chaos dominates initial responses, while mid- (2–26 weeks) and long-term (>26 weeks) effects underpin market adaptation and structural adjustments. Then, the BK-frequency model further demonstrates that positive spillovers from TPU to various shipping variables, such as freight-rate indices and vessel prices, emerge after two weeks and intensify over six months. Moreover, under extreme TPU drops, the long-term (>26 weeks) spillover effect on the shipping system becomes more pronounced, highlighting the restored confidence among industry practitioners following the easing of trade tensions. Finally, considering current industry practices, the direction of trade policy after the 90-day suspension period is pivotal, as it coincides with the peak season for container shipping, potentially driving a decrease in freight rates amid new tariffs and inventory shortfalls. The research benefits industry stakeholders and policymakers in taking targeted measures to cope with the impact of trade policy changes at the right time. • The spillover effect of Trade policy uncertainty to Shipping industry is explored. • The positive spillover from TPU to shipping industry appears 2 weeks later. • The spillover from TPU after 26 weeks becomes stronger. • Averagely, the spillover effect on BDI, CCFI, newbuilding price is pronounced. • Pronounced asymmetry exists in tail spillover effects in the long-term.

Source: Research in Transportation Economics

DOI: 10.1016/j.retrec.2025.101656

Authors: Yanhui Chen, Chujun Chen, Kaniz Fatema, Jackson Jinhong Mi

Institution: Shanghai Maritime University

Language: English

Topic: Market Dynamics and Volatility

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Decent work and economic growth

Open Access status: hybrid

Estimated APC paid: $2,430