The interrelationship between ocean, rail, truck and air freight rates

نویسندگان

چکیده

Purpose The purpose of this paper is to examine the long-term cointegrating relationship between ocean, rail, truck and air cargo freight rates, as well short-term dynamics these four series. authors also test predictive ability rates on major economic indicators. Design/methodology/approach employ a vector error-correction model using 16 years monthly time series data rate in truck, rail sectors interrelationship their with Findings find that dry bulk have strongest power over other transportation for indicators used study. lead short-run but lag long run. Originality/value While ocean been examined large number studies, little research has done modes transportation. Through use five different series, are able assess which each thus assist future researchers practitioners forecast rates. one few studies non-ocean

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ژورنال

عنوان ژورنال: Maritime business review

سال: 2021

ISSN: ['2397-3765', '2397-3757']

DOI: https://doi.org/10.1108/mabr-08-2020-0047