MATEC Web Conf.
Volume 124, 20172017 6th International Conference on Transportation and Traffic Engineering (ICTTE 2017)
|Number of page(s)||5|
|Section||Urban Logistics and Information System|
|Published online||29 September 2017|
Port Logistics Policies Evaluation Based on Difference-in-Difference Model
1 China Waterborne Transport Research Institute Beijing, China
2 National Academyof Innovation Strategy CAST Beijing, China
In order to study port logistics policies’ impact on related entities of port logistics, this paper try to use difference-in-difference model (DID model) in port logistics policy evaluation. Reviews related port logistics policies announced recent years in China, evaluates the policies impact on public port enterprises, and demonstrates the feasibility of using DID model to evaluate the port logistics policies. Based on whether a public port enterprises develop port logistics business, defines the public port enterprises which develop port logistics business as the experimental group, others as the control group, and establishes DID mo del and evaluates the policy influence. Evaluation results show that the port logistics policies have a negative impact on t he gross profit of the experimental group, and DID model can be used in port logistics policies evaluation. Perhaps the strengthening of infrastructure construction, diversification and expansion of development channels enhance the operating costs of port enterprises in short-term and result in short-term earnings decline.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.