Original Research

Forecasting South African containers for international trade: A commodity-based approach

Jan H. Havenga, Joubert van Eeden
Journal of Transport and Supply Chain Management | Vol 5, No 1 | a72 | DOI: https://doi.org/10.4102/jtscm.v5i1.72 | © 2011 Jan H. Havenga, Joubert van Eeden | This work is licensed under CC Attribution 4.0
Submitted: 30 November 2011 | Published: 30 November 2011

About the author(s)

Jan H. Havenga, University of Stellenbosch, South Africa
Joubert van Eeden, University of Stellenbosch, South Africa

Full Text:

PDF (1MB)

Abstract

The most common approach used internationally for forecasting international trade containers is models based on the correlation between container trade and economic growth. While the strong historical correlation is indisputable, this paper argues that there will be saturation in the propensity to containerise as all the suitable volumes of the underlying commodities shift to containers over time. In addition, the link between freight transport and GDP will decouple as more sustainable approaches to economic development, and therefore freight transport, are necessitated by economic and environmental realities. A commodity-based model, taking into account the underlying drivers of containerisation, is proposed here as a more realistic forecast of container demand. This could have a material impact on how large-scale investment decisions are directed.

Keywords

No related keywords in the metadata.

Metrics

Total abstract views: 3531
Total article views: 6836

 

Crossref Citations

1. Long-Term Traffic Forecast Using Neural Network and Seasonal Autoregressive Integrated Moving Average: Case of a Container Port
Negar Sadeghi Gargari, Roozbeh Panahi, Hassan Akbari, Adolf K.Y. Ng
Transportation Research Record: Journal of the Transportation Research Board  vol: 2676  issue: 8  first page: 236  year: 2022  
doi: 10.1177/03611981221083311