Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017)

Analysis on the Operation Efficiency of China's Marine Transportation Industry and Its Influencing Factors

Authors
Shujuan Wu, Junming Lu, Jianhua Xiao
Corresponding Author
Shujuan Wu
Available Online October 2017.
DOI
https://doi.org/10.2991/icesem-17.2017.29How to use a DOI?
Keywords
DEA mode; Marine transportation industry; Operating efficiency; Influencing factors
Abstract
China's marine transportation industry needs to change its current operation mode and improve economic efficiency, so that it can survive in the turbulent market. Based on the DEA model, it measures the eleven coastal provinces and cities' marine transportation industry efficiency by taking the number of berths and their berths as input indicators and the coastal port cargo as throughput, international standard tank throughput and passenger throughput as output indicators. Then, a regression analysis of China's marine transportation industry and its influencing factors is done by using EVIEWS software. It is found that the operation efficiency of China's marine transportation industry is good, but still needed to be improved. The investment in fixed assets of the coastal transportation industry and the container capacity of the wheel barge and its power have a positive effect on the operation efficiency of the marine transportation industry. Measures in the fields of ports, fleets, employees and waterways should be taken to solve those problems.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Shujuan Wu
AU  - Junming Lu
AU  - Jianhua Xiao
PY  - 2017/10
DA  - 2017/10
TI  - Analysis on the Operation Efficiency of China's Marine Transportation Industry and Its Influencing Factors
BT  - Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017)
PB  - Atlantis Press
SP  - 125
EP  - 128
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesem-17.2017.29
DO  - https://doi.org/10.2991/icesem-17.2017.29
ID  - Wu2017/10
ER  -