2008
DOI: 10.1016/j.mcm.2007.05.005
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A modified regression model for forecasting the volumes of Taiwan’s import containers

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Cited by 86 publications
(60 citation statements)
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“…All these export factors (technology, marketing, logistics and proximity, fragmentability, information and familiarity, natural resources, infrastructure, value chain organization, which changes over time) make understandable the complex network of factors influencing export sector. According to Chou et al (2008), the study of single industry sector for import proved that a modified regression model with non-static variable for forecasting volumes of Taiwan's import containers offers the higher prediction accuracy and thus overcomes the traditional regression model for the same case. Therefore, if a country is able to predict the volume of imports, it would be able to adequatly manage the exports.…”
Section: Literature Reviewmentioning
confidence: 99%
“…All these export factors (technology, marketing, logistics and proximity, fragmentability, information and familiarity, natural resources, infrastructure, value chain organization, which changes over time) make understandable the complex network of factors influencing export sector. According to Chou et al (2008), the study of single industry sector for import proved that a modified regression model with non-static variable for forecasting volumes of Taiwan's import containers offers the higher prediction accuracy and thus overcomes the traditional regression model for the same case. Therefore, if a country is able to predict the volume of imports, it would be able to adequatly manage the exports.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The same port was the subject of research carried out by [14], where a multiple linear regression model was used to identify the influence of different economic factors on the forecasted cargo throughput. In a similar way, a linear regression model was conducted in a research of [15], where the estimation of future volumes of Taiwan's import containers was the primary goal. On the other hand, [16] have examined the container transhipment in Germany by applying the Box-Jenkins methodology and exponential smoothing.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A typical example of such studies are works of [14,15,18,20,21]. The authors in study [15] have shown the importance of the relationships between the container volumes and different macroeconomic variables.…”
Section: Characteristics Of the Port Of Kopermentioning
confidence: 99%
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“…The forecasting of the cargo traffic can be performed with the historical cargo traffics or may be related with the arrival and departure ship numbers. In literature there are several efforts to predict the future cargo traffic of a seaport: [6,7,8,9,10].…”
Section: Introductionmentioning
confidence: 99%