MATEC Web Conf.
Volume 228, 20182018 3rd International Conference on Circuits and Systems (CAS 2018)
|Number of page(s)||3|
|Section||Management Science and Engineering|
|Published online||14 November 2018|
Logistics Industry Efficiency and Its Determinants in Silk Road Economic Belt Core Area Xinjiang
Shaanxi Institute of International Trade & Commerce, Xi’an Shaanxi, China
Based on a clear definition of the core concepts, the article first applies the DEA Model to recieve logistics industry efficiency in Xinjiang ,which is located in Silk Road Economic Belt Core Area, from 2003 to 2015 in terms of comprehensive efficiency, economies of Scale and Pure Technical Efficiency Empirical analysis; Then using Tobit Regression Model and Stepwise Regression Model, using Eviews8.0 software to analyze the factors affecting logistics industry efficiency in Xinjiang. The results show that the comprehensive logistics industry efficiency in Xinjiang is high, but the average of three kinds of efficiency is less than 1, which means there is still much room for improvement in the three efficiency values of logistics industry in Xinjiang. The three core factors affecting logistics industry efficiency in Xinjiang are the level of opening up, Industrial structure and logistics practitioners. Therefore, we should further improve logistics industry efficiency in Xinjiang from three aspects such as making full use of the opening up of the Belt and Road Initiative, promoting the optimization and upgrading of the industrial structure, and enhancing the number and professionalism of the logistics practitioners.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/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.