The effects of foreign uncertainty shocks on China's macro-economy: Empirical evidence from a nonlinear ARDL model

被引:18
|
作者
Wen, Fenghua [1 ,2 ]
Xiao, Yilin [1 ]
Wu, Haiquan [1 ]
机构
[1] Cent S Univ, Sch Business, Changsha 410083, Hunan, Peoples R China
[2] Univ Windsor, Fac Engn, Supply Chain & Logist Optimizat Res Ctr, Windsor, ON, Canada
基金
中国国家自然科学基金;
关键词
Uncertainty; China's macro-economy; NARDL model; Asymmetries; OIL PRICE UNCERTAINTY; GLOBAL FINANCIAL CRISIS; MONETARY-POLICY; MARKET; IMPACT; ECONOMY; DEMAND; COINTEGRATION; DETERMINANTS; VOLATILITY;
D O I
10.1016/j.physa.2019.121879
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This paper investigates the impacts of uncertainty on China's macro-economy by a nonlinear cointegrating autoregressive distributed lag (NARDL) model. The three widely used uncertainty proxies economic policy (EPU), the financial markets (VIX), and energy market (OVX) are considered, and the short-run and long-run nonlinear asymmetric relationship between these three kinds of uncertainty and macroeconomic variables are examined. The empirical results provide significant evidence of short-run relationship between all types of uncertainty shocks and the China's macro-economy except the effects of OVX on China's output. Furthermore, in the long run, the results show that the asymmetric VIX seems to be the most relevant determinative uncertainty of China's macro-economy; the economic policy uncertainty has a long-run asymmetric impact on China's inflation; the increases in oil price uncertainty may damage China's output and the decreases in the uncertainty of the energy market may lead to the rises in money supply. The findings of this study have significant implications for investors and policy makers who are interested in uncertainty risks and who look forward to making more effective decisions. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Party and state policy documents and China's economy: some macro-level empirical evidence
    Dovi, Max-Sebastian
    [J]. JOURNAL OF CHINESE GOVERNANCE, 2018, 3 (02) : 223 - 242
  • [22] How does China's macro-economy response to the world crude oil price shock: A structural dynamic factor model approach
    Ou, Bianling
    Zhang, Xun
    Wang, Shouyang
    [J]. Computers and Industrial Engineering, 2012, 63 (03): : 634 - 640
  • [23] OKUN'S LAW (A)SYMMETRY IN SEE COUNTRIES: EVIDENCE FROM NONLINEAR ARDL MODEL
    Mihajlovic, Vladimir
    Fedajev, Aleksandra
    [J]. ROMANIAN JOURNAL OF ECONOMIC FORECASTING, 2021, 24 (03): : 140 - 157
  • [24] Asymmetric determinants of corporate bond credit spreads in China: Evidence from a nonlinear ARDL model
    Li, Xiao-Lin
    Li, Xin
    Si, Deng-Kui
    [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2020, 52
  • [25] Digital economy and green development: Empirical evidence from China's cities
    Xiao, Yue
    Wu, Si
    Liu, Zai Qi
    Lin, Hai Ji
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
  • [26] Asymmetric effects of climate variability on food security in Morocco: evidence from the nonlinear ARDL model
    Soumbara, Sid'Ahmed
    El Ghini, Ahmed
    [J]. JOURNAL OF AGRIBUSINESS IN DEVELOPING AND EMERGING ECONOMIES, 2023,
  • [27] Revisiting the Impact of US Uncertainty Shocks: New Evidence from China's Investment Dynamics
    Yan, Meng
    Shi, Kai
    [J]. OPEN ECONOMIES REVIEW, 2024, 35 (03) : 457 - 495
  • [28] The effects of economic policy uncertainty on China's economy: evidence from time-varying parameter FAVAR
    Ren, Yinghua
    Guo, Qing
    Zhu, Huiming
    Ying, Wanming
    [J]. APPLIED ECONOMICS, 2020, 52 (29) : 3167 - 3185
  • [29] Structural changes, energy consumption and carbon emissions in China: Empirical evidence from ARDL bound testing model
    Rauf, Abdul
    Zhang, Jin
    Li, Jinkai
    Amin, Waqas
    [J]. STRUCTURAL CHANGE AND ECONOMIC DYNAMICS, 2018, 47 : 194 - 206
  • [30] Ecological Footprint, Economic Uncertainty and Foreign Direct Investment in South Africa: Evidence From Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Approach
    Williams, Magdalene
    Abu Alrub, Ahmad
    Aga, Mehmet
    [J]. SAGE OPEN, 2022, 12 (02):