Research On the Impact of China's Industrial Chain Security Under US-China Trade Friction Based on DID Methodology

Authors

  • Hanqing Cao
  • Binying Fang
  • Ziyi Qi

DOI:

https://doi.org/10.54097/gq32ce73

Keywords:

Sino-US relations; industrial chain security; entropy weight method; DID.

Abstract

This paper mainly studies the security of China's industrial chain under Sino-US trade friction. First, by considering the integrity, stability and competitiveness of the industrial chain, a comprehensive security level measurement system is established. Secondly, through the regression analysis based on the difference in differences model, it is found that the US restrictive policy on China has a negative impact on the security of China's industrial chain, but the measures taken by China to expand multilateral trade, increase exports and promote independent innovation have effectively mitigated the impact. Finally, the robustness test confirms the reliability of the conclusions, and the heterogeneity analysis of 21 industries shows that trade frictions mainly have a negative impact on capital - and technology-intensive industries, especially technology-intensive industries. Based on the conclusions of the model, this paper suggests that we should continue to improve China's industrial chain security monitoring and early warning system, while strengthening policy support for technology-intensive industries to cope with the challenges of international trade uncertainties.

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References

Shi, Qing;Sun, Xiaoqi;Xu, Man;Wang, Mengjiao.The multiplex network structure of global cobalt industry chain.[J].Resources Policy,2022,Vol.76: 102555.

Gonera, Antje;Nykamp, Hilde Andrea;Carraresi, Laura.Incumbents’ Capabilities for Sustainability-Oriented Innovation in the Norwegian Food Sector—an Integrated Framework[J].Circular Economy and Sustainability,2023,Vol.3(3): 1299-1326.

Xiaofang Jia;Xingan Wang.The impact of digital finance development on vertical specialization: evidence from A-share listed companies in China[J].Kybernetes,2022,Vol.53(1): 384-409.

Joyce Oliveira Déo da Silva, Daiane Rodrigues dos Santos.Study of Blockchain Application in the Logistics Industry[J]. Theoretical Economics Letters,2022, (2).

Katja Zajc Kejžar, Alan Velić, Jože P Damijan.COVID-19, trade collapse and GVC linkages: European experience[J]. The World economy,2022, Vol.45(11): 3475-3506.

Xingyao Zhou;Nana Wang;Juaner Zheng;Siyu Wang.Synergy effect evaluation of coal and electricity joint venture based on DID model[J].Energy Reports,2022,Vol.8(7): 198-209.

Wanxiong Zhang, Ruiyun Cui, Changyuan Li, Hailong Ge, Zhuoya Zhang, Xueqiong Tang.Impact of urban agglomeration construction on urban air quality-empirical test based on PSM-DID model[J]. Scientific reports,2023, Vol.13(1): 15099.

Guillermo Benito-Calviño;Javier García-Olivares;Felipe J. Llanes-Estrada.Information entropy and fragmentation functions[J].Nuclear Physics A,2023,Vol.1036: 122670.

Lihua Lei;Timothy Sudijono.Inference for Synthetic Controls via Refined Placebo Tests[J].2024.

Man, Ho Park, Munsol Ju, Sangjae Jeong, Jae Young Kim.Incorporating interaction terms in multivariate linear regression for post-event flood waste estimation[J]. Waste management (New York, N.Y.),2021, Vol.124: 377-384.

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Published

22-07-2024

How to Cite

Cao, H., Fang, B., & Qi, Z. (2024). Research On the Impact of China’s Industrial Chain Security Under US-China Trade Friction Based on DID Methodology. Highlights in Business, Economics and Management, 38, 85-94. https://doi.org/10.54097/gq32ce73