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Strategic development of regional transshipment hubs: leveraging econometric modelling and trade integration between foreland nations and production centres

Rashika Mudunkotuwa et al.

International Journal of Shipping and Transport Logistics2026https://doi.org/10.1504/ijstl.2026.151952article
AJG 1
Weight
0.50

What the paper says

This paper shows that transshipment ports can be key contributors to enhancing trade relations and strategic port partnerships between the host country and the connected markets. The paper develops a forecasting model based on international trade dynamics between foreland markets and the world's major production centre, China, and validates with data sourced from the World Integrated Trade Solution and China's Trade Yearbook to determine the port throughput of a regional hub port (the Port of Colombo). The model's validity is confirmed through rigorous statistical tests and the findings revealed the Port of Colombo's long-term dependence on trade with foreland nations trading with China. The results support the need for the port's host country to adopt trade integration strategies for its sustained growth. The model significantly enhances the forecasting accuracy for transshipment hubs, offering valuable insights for policymakers and port authorities to promote sustainable growth through improved trade integration strategies.

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https://doi.org/https://doi.org/10.1504/ijstl.2026.151952

Or copy a formatted citation

@article{rashika2026,
  title        = {{Strategic development of regional transshipment hubs: leveraging econometric modelling and trade integration between foreland nations and production centres}},
  author       = {Rashika Mudunkotuwa et al.},
  journal      = {International Journal of Shipping and Transport Logistics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijstl.2026.151952},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.