Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024)

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Study on the impact of U.S. deindustrialization on china’s economy based on a vector autoregressive model

Authors
Xinpeng Cai1, *, Mingze Sun2
1School of International Economy and Trade, Central University of Finance and Economics, Beijing, China
2Queen’s Economics Department, Queen’s University, Kingston, ON, Canada
*Corresponding author. Email: 15201349879@163.com
Corresponding Author
Xinpeng Cai
Available Online 29 August 2024.
DOI
10.2991/978-94-6463-488-4_2How to use a DOI?
Keywords
component; trade friction; economic structure transformation; de-industrialization; re-industrialization
Abstract

While economic structures of China and the United States are constantly changing, trade relations are also moving from complementarity to competition. China’s economic growth poses a threat to the United States. And the United States curbs China’s development through economic means, leading to increased trade friction. This paper analyzes the causes of Sino-US trade friction from the perspective of American economic structure transformation and uses the economic data of China and the United States to establish a vector autoregressive model for empirical analysis to study the effect of American de-industrialization on China’s economic structure transformation and upgrading. Specifically, this paper explains the reasons for the re-industrialization of the United States and its impact on China’s economic structure, and then explains the internal logical relationship between economic structure transformation and trade friction.

Copyright
© 2024 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 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
29 August 2024
ISBN
978-94-6463-488-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-488-4_2How to use a DOI?
Copyright
© 2024 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  - Xinpeng Cai
AU  - Mingze Sun
PY  - 2024
DA  - 2024/08/29
TI  - Study on the impact of U.S. deindustrialization on china’s economy based on a vector autoregressive model
BT  - Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024)
PB  - Atlantis Press
SP  - 4
EP  - 13
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-488-4_2
DO  - 10.2991/978-94-6463-488-4_2
ID  - Cai2024
ER  -