Vol.:(0123456789)
Maritime Economics & Logistics (2025) 27:373–403
https://doi.org/10.1057/s41278-024-00301-4
ORIGINAL ARTICLE
Forecasting throughput at a transshipment hub
under trade dynamism and uncertainty in major
production centers
Rashika Mudunkotuwa
1
· Mingjun Ji
1
· T. S. G. Peiris
2
· Yapa Mahinda Bandara
3
·
Narthsirinth Netirith
1
Accepted: 15 August 2024 / Published online: 29 August 2024
© The Author(s), under exclusive licence to Springer Nature Limited 2024
Abstract
The demand for port services is intricately tied to international trade between pro-
duction centers and the global market. This paper introduces a unique econometric
forecasting model tailored to predict container port throughput at a transshipment
hub, leveraging the dynamic and uncertain nature of international trade flows, origi-
nating from three global production centers: China, the USA, and Germany. The
paper examines how the trade flow dynamics of these centers impact a transship-
ment hub, especially in scenarios where the hub is strategically positioned along
major shipping routes, serving as the sole container transshipment facility in a
region. The validation of the model is conducted through empirical testing using
time series analysis of trade flows from the above three major production centers
to the South Asian port region. The Port of Colombo (PoC) is used as the regional
hub port. The model incorporates external shocks to assess their influence on the
demand for the services of the hub and its resilience to global disruptions. Findings
indicate the substantial influence of China, with a notable impact on exports to the
USA from South Asia and imports from Europe and Central Asia to China, estab-
lishing positive and long-term relationships with PoC. Furthermore, the paper offers
insights into PoC’s resilience during crises such as the Red Sea incident, leveraging
its strategic location. The findings not only contribute in developing PoC’s strategic
position, but they also lay the groundwork for future studies on global trade patterns
and the adaptability of transshipment hubs in the face of dynamic demand.
Keywords Transshipment port · International trade · Production centers ·
Uncertainty · Granger causality · VECM
Extended author information available on the last page of the article
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