Proceedings of the 2014 International Conference on Management Science and Management Innovation

Contribution Analysis of Railway Freight Transportation to Logistics Industry

Authors
Han-Li Chen, Tao Qin
Corresponding Author
Han-Li Chen
Available Online June 2014.
DOI
https://doi.org/10.2991/msmi-14.2014.110How to use a DOI?
Keywords
Freight volume, Freight turnover, Logistics industry, Granger causality test, Contribution.
Abstract
Railway transportation is the backbone of the transportation system in China; it plays an important role in the development of logistics industry. Based on the index selection, this paper chooses transportation goods turnover index to represent the logistics industry, and chooses railway freight turnover index to represent railway freight. Granger causality test has been used to analyze the relationship between railway freight transportation and logistics industry, the results show: there is a strong two-way causality between railway freight transportation and logistics industry. And variance decomposition technique is used to study the contribution of railway freight to logistics industry; the results show that the short-term contribution of railway freight transportation to the Logistics industry is more than a long-term contribution of that.
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Proceedings
2014 International Conference on Management Science and Management Innovation (MSMI 2014)
Part of series
Advances in Economics, Business and Management Research
Publication Date
June 2014
ISBN
978-94-6252-015-8
ISSN
2352-5428
DOI
https://doi.org/10.2991/msmi-14.2014.110How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Han-Li Chen
AU  - Tao Qin
PY  - 2014/06
DA  - 2014/06
TI  - Contribution Analysis of Railway Freight Transportation to Logistics Industry
BT  - 2014 International Conference on Management Science and Management Innovation (MSMI 2014)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-14.2014.110
DO  - https://doi.org/10.2991/msmi-14.2014.110
ID  - Chen2014/06
ER  -