Application of Big Data Intelligent Management Technology in the Construction and Innovation of Free Trade Zone
Ying Pan ()
Additional contact information
Ying Pan: Wuhan Business University, Department of International Economics and Trade
A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 1168-1174 from Springer
Abstract:
Abstract In order to promote the construction of free trade zone and the innovation of system and mechanism, this paper puts forward the application research of big data intelligent management technology in the construction and innovation of free trade zone. By analyzing the implementation methods and steps of big data technology in the logistics management of Free Trade Zone A, this paper puts forward some ways to improve the logistics management system of Free Trade Zone, including building a big data logistics platform, improving operational capacity and forming agglomeration advantages. It is hoped that it can provide some basis for the mechanism innovation and economic and social development of FTZ, enhance China's ability of social, economic and environmental sustainable development, and realize the urgent need of sound and rapid economic development, and help FTZ embark on a brand-new development path. Taking the construction of free trade zone as an opportunity to promote the innovation of system and mechanism will be based on the transformation of government functions, so that the intelligent equipment manufacturing industry and the producer service industry will continue to integrate and create a new supply of government investment and management models.
Keywords: big data; Logistics management; Free trade zone; Construction and innovation (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_118
Ordering information: This item can be ordered from
http://www.springer.com/9789464632569
DOI: 10.2991/978-94-6463-256-9_118
Access Statistics for this chapter
More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().