This paper examines the effects of state capacity on the reported Covid-19 infection (and mortality) rate and its policy implications. We analyse two dimensions of state capacity which were critical during the pandemic. The healthcare capacity acted to contain the virus outbreak (an effect we...

Background: The operational roles of ports are deeply intertwined with the development of their surrounding hinterlands, indicating that their relationship is mutually dependent and interactive. Moreover, the growth of a port positively influences the development of its hinterland, stimulating...

Background: Container terminals are a pivotal part of global logistics networks, influencing supply chain reliability and port competitiveness. Traditional performance evaluation methods, such as KPI-based assessments or multi-criteria analyses, often fail in dynamic operational conditions with...

Purpose - The purpose of this research is to develop a set of policies to solve the decarbonization issues of container terminal clusters. Design/methodology/approach - This research used the system dynamics approach to develop an integrated multi-issue policy model. Findings - We found that the...

The purpose of this study was to investigate the relative importance of determinants that should be considered first in order for container terminals to realize carbon neutrality and become an eco-friendly port. Three upper determinants and 12 lower determinants were derived through the...

This study evaluates the predictive performance of four models-Decision Tree, Random Forest, Prophet, and LSTM-in forecasting container freight rates, a key metric for strategic decision-making in the shipping industry. To address data heterogeneity, Min-Max normalization was applied, and the...