An Empirical Analysis of the Determinants of Freight Rates Using VECM: Based on Information of Cargo Freight Information Network

Youngjae Lee, Yu-Na Kim, Hae-Chan Lee, Gi-Tae Yeo
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Abstract

In the domestic transportation market, the transportation share of freight cars accounts for 92.6%. In the truck market, real freight rates decreased due to the increase in cost burden due to the increase in prices such as oil prices, and accordingly, overwork, overload, and speeding competition intensified. Accordingly, in 2018, the government implemented a safe fare system as a way to advance cargo transportation and applied it to import and export containers and cement (BCT). Therefore, this study attempted to provide implications for matters to be considered when expanding the safety fare system through time series analysis on the influence of truck fares and various exogenous variables. The research method analyzed the unit root, cointegration test, and VECM of freight rates by tonnage recorded in the actual cargo information network and time series indexes such as domestic economic indicators, industrial indexes, price indexes, and supply indexes. As a result of the analysis, it was confirmed that the exogenous variables affecting the freight rates of each ton class were different, with a positive(+) effect on the whole industry index and import index for trucks of less than 8 tons.
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运价影响因素的VECM实证分析——基于货运信息网络信息
在国内运输市场中,货车的运输份额占92.6%。在卡车市场,由于油价等物价上涨导致成本负担增加,实际运费有所下降,因此,加班、超载、超速竞争加剧。因此,政府从2018年开始实施了货物运输先进化的安全运费制度,并将其应用于进出口集装箱和水泥(BCT)。因此,本研究试图通过对卡车票价和各种外生变量影响的时间序列分析,为扩大安全票价制度时应考虑的事项提供启示。研究方法对实际货物信息网络中记录的按吨位运价和国内经济指标、工业指数、价格指数、供应指数等时间序列指标进行单位根、协整检验和VECM分析。分析结果证实,影响各吨级运价的外生变量不同,对全行业指数和8吨以下货车进口指数均有正(+)效应。
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