| Literature DB >> 36035067 |
Abstract
This study applies a time-varying parameter/stochastic volatility vector autoregression (TVP-SV-VAR) model to explore the time-varying property of the link between Sino-US political relations and trade. The results indicate that the association of these two variables appears to be unstable. Sino-US political relations have positive and negative impacts on their bilateral trade, and the impact on Chinese imports is stronger than on its exports. In turn, Chinese imports from the US lead to political conflict, while Chinese exports promote peace. The interaction mechanism may originate from the expectations of the future trade environment caused by trade policy uncertainty. The interactions between Sino-US political relations and bilateral trade at different time points are also investigated. The results demonstrate that the link between these two variables is slightly different, depending on the specific status of the bilateral political relationship (friendly, neutral or hostile). Both China and the US should seek common interests to maintain a stable political relationship, and even with an increasing volume of bilateral trade, the risk of political conflicts should not be neglected. © Journal of Chinese Political Science/Association of Chinese Political Studies 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.Entities:
Keywords: Bilateral trade; Sino-US political relations; Time-varying; Trade expectations theory; Trade policy uncertainty
Year: 2022 PMID: 36035067 PMCID: PMC9390110 DOI: 10.1007/s11366-022-09829-9
Source DB: PubMed Journal: J Chin Polit Sci ISSN: 1080-6954
Fig. 1Trends in Sino-US political relations. Source: Institute of international relations, Tsinghua University
Descriptive statistics of the variables
| Variables | Symbol | Mean | Std. dev | Skewness | Kurtosis | Jarque–Bera |
|---|---|---|---|---|---|---|
| Political Relations | PR | 0.180 | 2.733 | -1.773 | 5.311 | 239.593*** |
| Chinese Imports | IM | 69.450 | 47.201 | 0.278 | 1.670 | 27.773*** |
| Chinese Exports | EX | 197.789 | 141.103 | 0.268 | 1.840 | 21.814*** |
| Trade Policy Uncertainty | TPU | 115.599 | 195.859 | 4.819 | 34.153 | 14,222.84*** |
| Industrial Production Index | IPI | 92.517 | 8.142 | -1.016 | 3.441 | 57.806*** |
| Exchange Rate | ER | 7.373 | 0.851 | -0.066 | 1.284 | 39.624*** |
*** denotes significance at 1% levels
The result of the unit root test
| Unit Root Test | |||
|---|---|---|---|
| Variables | ADF | PP | KPSS |
| Political Relations | -9.884*** | -16.077*** | 0.111 |
| Chinese Imports | -5.469*** | -45.776*** | 0.087 |
| Chinese Exports | -4.386*** | -43.023*** | 0.106 |
| Trade Policy Uncertainty | -12.610*** | -37.617*** | 0.093 |
| Industrial Production Index | -13.171*** | -14.625*** | 0.058 |
| Exchange Rate | -10.261*** | -10.345*** | 0.136 |
*** denotes significance at 1% levels
Parameter estimation results of the model
| Parameters | Mean | Standard deviation | 95% confidence interval | Geweke’s Z-score | Inefficiency factors |
|---|---|---|---|---|---|
| 0.022 | 0.002 | [0.018, 0.028] | 0.028 | 19.07 | |
| 0.023 | 0.002 | [0.019, 0.028] | 0.792 | 16.42 | |
| 0.052 | 0.011 | [0.035, 0.078] | 0.355 | 61.77 | |
| 0.052 | 0.011 | [0.035, 0.078] | 0.068 | 55.91 | |
| 0.457 | 0.090 | [0.298, 0.648] | 0.378 | 50.96 | |
| 0.490 | 0.096 | [0.312, 0.686] | 0.216 | 55.35 |
Fig. 2Sample autocorrelations, paths and posterior densities of MCMC estimation results
Fig. 3Impulse responses at different horizons (Chinese perspective)
Fig. 4Impulse response at different time points (Chinese perspective)
Fig. 5Impulse responses at different horizons (American perspective)
Fig. 6Impulse response at different time points (American perspective)