Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

<Previous Article In Volume
Next Article In Volume>

Research on Potential Risk Prediction Method of Manufacturing Industry Based on Global Value Chain

Authors
Shuguang Liu1, Hongwei Zhou1, *, Shan Feng1, Yawen Kong1
1Economics School, Ocean University of China, Qingdao, 266100, China
*Corresponding author. Email: zhou21201311152@163.com
Corresponding Author
Hongwei Zhou
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_101How to use a DOI?
Keywords
manufacturing Intellectualization; artificial intelligence; Global value chain position
Abstract

With the continuous development of intelligent manufacturing industry, the new generation of information technology represented by artificial intelligence has been widely and deeply infiltrated into the manufacturing industry, and has a profound impact on its global value chain status. This paper studies the impact of intellectualization on the global value chain status of manufacturing industry, analyzes the mechanism of the impact of different intellectualization on the global value chain status of manufacturing industry by using the index calculation method, and studies how to improve the intellectualization level of China's manufacturing industry, promote the global value chain status of manufacturing industry with intellectualization, improve the technological innovation ability, enhance the global value chain status of manufacturing industry, give full play to the trade cost saving effect of intellectualization, enhance the position of manufacturing industry in the global value chain.

Copyright
© 2022 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
978-94-6463-108-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_101How to use a DOI?
Copyright
© 2022 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  - Shuguang Liu
AU  - Hongwei Zhou
AU  - Shan Feng
AU  - Yawen Kong
PY  - 2022
DA  - 2022/12/30
TI  - Research on Potential Risk Prediction Method of Manufacturing Industry Based on Global Value Chain
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 910
EP  - 917
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_101
DO  - 10.2991/978-94-6463-108-1_101
ID  - Liu2022
ER  -