Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Prediction and Analysis of China’s Non Sovereign Digital Currency Demand Based on Big Data and Artificial Intelligence

Authors
Chen Zhang1, *
1Universidad de Murcia, Autonomous Community of Murcia, Murcia, Spain
*Corresponding author. Email: crystalcambridge@outlook.com
Corresponding Author
Chen Zhang
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_47How to use a DOI?
Keywords
Big data; Artificial intelligence; Digital currency
Abstract

With the rapid rise of the digital economy, China, as one of the important participants in the global digital currency field, is actively exploring the development and application of non sovereign digital currencies. This article is based on big data and artificial intelligence technology, aiming to deeply analyze and predict the demand for non sovereign digital currencies in China, in order to help the government and financial institutions better understand market trends, formulate policies, and explore their impact on international financial stability. Firstly, the demand forecast for China’s non sovereign digital currency was discussed to some extent. Secondly, the influencing factors of digital currency were analyzed from the perspectives of macroeconomic, policy regulations, technological development, competition and cooperation.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_47
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_47How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chen Zhang
PY  - 2023
DA  - 2023/12/04
TI  - Prediction and Analysis of China’s Non Sovereign Digital Currency Demand Based on Big Data and Artificial Intelligence
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 455
EP  - 462
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_47
DO  - 10.2991/978-94-6463-304-7_47
ID  - Zhang2023
ER  -