Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
---|---|---|
Article Number | 02050 | |
Number of page(s) | 5 | |
Section | Big Data Environment Management Application and Industry Research | |
DOI | https://doi.org/10.1051/e3sconf/202125302050 | |
Published online | 06 May 2021 |
Coupling and Coordination Measurement of the Development Level of China’s Financial Industry and Logistics Industry
1 Shaanxi Institute of International Trade & Commerce Xi’an China
2 Northwest University Xi’an China
3 South-Central University for Nationalities Wuhan China
Based on the panel data of 31 China’s provinces and cities, depending on discussing the significance of the coordination development of the financial industry and the logistics industry, the entropy method and the coupling coordination degree model were used to empirically analyze the dynamic coupling development of China's financial industry and logistics industry. Empirical analysis shows that during the sample period, the coordination development level of China's logistics industry and the financial industry had achieved a transition from overall disorder to overall coordination, but there was still a large potential for improvement. The level of coupling and coordination development was east-central-west declining trend in three steps. Guangdong was the province with the highest level of coupling and coordination development. Tibet, Qinghai, Ningxia, Hainan, and Tianjin were the provinces and cities with the lowest level of coupling and coordination development.
© The Authors, published by EDP Sciences, 2021
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.