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http://dx.doi.org/10.9723/jksiis.2022.27.1.111

Analysis of Factors Affecting Surge in Container Shipping Rates in the Era of Covid19 Using Text Analysis  

Rha, Jin Sung (단국대학교 경영학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.27, no.1, 2022 , pp. 111-123 More about this Journal
Abstract
In the era of the Covid19, container shipping rates are surging up. Many studies have attempted to investigate the factors affecting a surge in container shipping rates. However, there is limited literature using text mining techniques for analyzing the underlying causes of the surge. This study aims to identify the factors behind the unprecedented surge in shipping rates using network text analysis and LDA topic modeling. For the analysis, we collected the data and keywords from articles in Lloyd's List during past two years(2020-2021). The results of the text analysis showed that the current surge is mainly due to "US-China trade war", "rising blanking sailings", "port congestion", "container shortage", and "unexpected events such as the Suez canal blockage".
Keywords
container shipping rates; covid19; network text analysis; topic modeling;
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