Analysis of the Impact of U.S. Trade Policy Uncertainty on China Based on Bayesian VAR Model | Zendy

Huan Yan | Zendy; Weiguo Xiao | Zendy; Qi Deng | Zendy; Sisi Xiong | Zendy

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Analysis of the Impact of U.S. Trade Policy Uncertainty on China Based on Bayesian VAR Model

Author(s) -

Huan Yan,

Weiguo Xiao,

Qi Deng,

Sisi Xiong

Publication year - 2022

Publication title -

journal of mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.252

H-Index - 13

eISSN - 2314-4785

pISSN - 2314-4629

DOI - 10.1155/2022/7124997

Subject(s) - bayesian vector autoregression , vector autoregression , spillover effect , economics , china , consumption (sociology) , investment (military) , econometrics , bayesian probability , short run , international economics , macroeconomics , mathematics , statistics , social science , sociology , politics , political science , law

Using a set of Chinese economic data and a Bayesian vector autoregression (BVAR) model, this study empirically analyzes the spillover effects of U.S. trade policy uncertainty on the output, consumption, investment, and net export in China. The results find that U.S. trade policy uncertainty is an important factor influencing China’s real economy. Specifically, an increase in U.S. trade policy uncertainty has a significant negative effect on China’s output, consumption, and net export in the short and long run, but it will have a negative impact on investment in the short run and a positive impact in the medium and long run.

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