Long term container volume forecasting: Decoupling gross domestic product and container movements

Author:

Pienaar W.J.ORCID,Havenga Jan HendrikORCID,Simpson Zane P.,van Eeden J.

Abstract

The correlation between container trade and economic growth is currently the most common relation used to forecast international trade container demand volumes. The article argues that there is a ceiling level in the propensity to containerise, as all the suitable volumes of the underlying commodities shift to containers over time. Also, the link between freight transport and gross domestic product (GDP) will decouple as more sustainable approaches to economic development and freight transport are necessitated by economic and environmental realities. A commodity-based model, that takes the underlying drivers of containerisation into account, is proposed as a more realistic forecast of container demand. Applying this model could materially influence large-scale investment decision making.

Publisher

Virtus Interpress

Subject

General Business, Management and Accounting

Reference21 articles.

1. Abonyi, G. and Van Slyke, D.M. 2010. Governing on the Edges: Globalisation of Production and the Challenge to Public Administration in the Twenty-First Century. Syracuse: Maxwell School of Syracuse University.

2. Ballou, R.H. 2004. Business Logistics/Supply Chain Management. New Jersey: Pearson Prentice Hall.

3. Bilegan, I.C., Craininc, T.G. and Gendreau, M. 2007. Forecasting freight demand at intermodal terminals using neural networks. Sixth Triennial Symposium on Transportation Analysis (TRISTAN). Phuket, Thailand, 10–15 June 2007.

4. Dagenais, M.G. and Martin, F. 1987. Forecasting containerised traffic for the Port of Montreal (1981–1995). Transportation Research Part A: General, Policy and Practice, 21(1): 1–16.

5. Department of State and Regional Development of New South Wales. 2011. The Southern Highlands Intermodal – Demand Forecasts. Available from: http: //www.southernhighlandsbusiness.com/forcast.html (Accessed 6 June 2011).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3