Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Efficiency Evaluation of Main Ports of the Yangtze River Main Line—Empirical Research Based on Three-Stage DEA Model

Authors
Jianbao Zhang, Linan Du
Corresponding Author
Linan Du
Available Online December 2018.
DOI
10.2991/tlicsc-18.2018.16How to use a DOI?
Keywords
DEA; Yangtze River main line; port development; economic belt.
Abstract

Port efficiency evaluation has always been a hot issue in transportation economy and shipping economy research. This paper attempts to evaluate the efficiency of main ports of the Yangtze River main line by using three-stage DEA model, reveals the efficiency change trend and spatial characteristics of ports of the Yangtze River main line, and then proposes policy suggestions for improving port efficiency, the research conclusion has certain reference value for promoting the port development of the Yangtze River main line, and better support the construction of the Yangtze River economic belt.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
10.2991/tlicsc-18.2018.16
ISSN
1951-6851
DOI
10.2991/tlicsc-18.2018.16How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianbao Zhang
AU  - Linan Du
PY  - 2018/12
DA  - 2018/12
TI  - Efficiency Evaluation of Main Ports of the Yangtze River Main Line—Empirical Research Based on Three-Stage DEA Model
BT  - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SP  - 100
EP  - 106
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.16
DO  - 10.2991/tlicsc-18.2018.16
ID  - Zhang2018/12
ER  -