A Computational Approach for Global Trade Analysis in Korea Contributing to the Forecasting of Future Efficacy in Global and Domestic Korean Transportations

Economic forecasting studies are integral for shaping strategic policy decisions by providing data-driven insights that guide resource allocation, logistics and transportation, and long-term planning.This study investigate the trade dynamics of the Republic of Korea through the Global Trade Analysis Project Recursive dynamic GTAP-RD model with the GTAP v11 database to forecast economic scenarios and Shared Socioeconomic Pathways (SSPs) serve as growth trajectories.The analysis centers on the Republic of Korea's key trading partners, as identified by the GTAP database, and top trading sectors from the Korea Transport Database (KTDB) to compare the key influencers on Korea's trade thereby providing deeper strategic economic planning.This study investigates further the involvement of Korea's logistics and transportation by focusing on changes in import/export tonnage to inform infrastructure planning and strategic transport development.The evaluation of Korea's trade in the global context is of the essence to ensure adaptive logistics, backing economic resilience, and aligning with changeable global trade conditions.