The Impact of Economic Policy Uncertainty on China’s Regional Economy and Its Dynamic Effects —A theoretical analysis based on TVP-FAVAR

Yuying Chen, Xin Li, Ruining Guo, Y. Tan
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Abstract

Through a review of prior literature, we can conclude that average consumption in developed regions is generally lower than less developed regions and the economic policy uncertainty (EPU) has differently negative effects on China’s investment, consumption, price levels, and output in the short term. This paper intends to divide further China’s provinces and cities into consumption-led areas, moderate areas, and investment-led areas. Then this paper adopts the time-varying parameter factor-augmented vector autoregression (TVP-FAVAR) model to conduct a theoretical analysis of macroeconomic response under China’s economic policy uncertainty. Using the transmission mechanism of interest rate channel, credit channel, and exchange rate channel, we predict that the increase in policy uncertainty will have a more significant negative impact on regions with a low proportion of consumption, manifested in a higher degree of decline in consumption, investment, and output. However, the price level is significantly consistent across regions. As for the nonlinear issue, as China’s economic environment changes, major economic indicators in various regions have shown obvious time-varying characteristics.
经济政策不确定性对中国区域经济的影响及其动态效应——基于TVP-FAVAR的理论分析
通过对以往文献的梳理,我们可以得出结论:发达地区的平均消费普遍低于欠发达地区,经济政策不确定性(EPU)在短期内对中国的投资、消费、价格水平和产出有不同程度的负面影响。本文拟将中国各省市进一步划分为消费主导型、中等主导型和投资主导型。然后,本文采用时变参数因子-增广向量自回归(TVP-FAVAR)模型对中国经济政策不确定性下的宏观经济反应进行了理论分析。利用利率渠道、信贷渠道和汇率渠道的传导机制,我们预测政策不确定性增加对消费占比较低地区的负面影响更为显著,表现为消费、投资和产出的下降程度更高。然而,各地区的价格水平明显一致。对于非线性问题,随着中国经济环境的变化,各地区主要经济指标表现出明显的时变特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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