Nonlinear Dependence between Economic Policy Uncertainty and FDI Inflows in China

IF 1.4 4区 经济学 Q3 ECONOMICS
Su Chi-Wei, Umar Muhammad, Chang Hsu-Ling
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引用次数: 1

Abstract

Foreign direct investment (FDI) is the most reliable form of international capital flows, and it may be notably prone to increased uncertainty because of its high fixed costs. In this paper, we use the rolling window causality and the quantile-based Granger causality method to investigate the nonlinear dependence between economic policy uncertainty (EPU) and foreign direct investment (FDI) inflows in China for the period between 1999:M06 to 2021:M12. The empirical findings of the study show that EPU exerts a negative impact on FDI inflows during the majority of the time periods that have been studied. However, during the U.S subprime crisis in US, the effect was positive. That is, it can be inferred that the FDI inflows are not always hampered by the Chinese government's economic policy uncertainty. We enlarged our study with the quantile-based Granger causality method to assess robustness. In view of the recent dynamic economic condition and COVID-19 pandemic, the results suggest China's government should focus on more openness and improving its domestic business environment to enhance foreign investors' trust and avoid a possible drop-off in FDI inflows. © 2022, Bucharest University of Economic Studies. All rights reserved.
中国经济政策不确定性与FDI流入的非线性相关性
外国直接投资(FDI)是国际资本流动最可靠的形式,由于固定成本高,它可能特别容易增加不确定性。本文采用滚动窗因果关系和基于分位的格兰杰因果关系方法,研究了1999年6月至2021年12月期间中国经济政策不确定性(EPU)与外国直接投资(FDI)流入之间的非线性关系。研究的实证结果表明,在研究的大多数时期,货币政策单位对外国直接投资流入产生了负面影响。然而,在美国次贷危机期间,这种影响是积极的。也就是说,可以推断FDI流入并不总是受到中国政府经济政策不确定性的阻碍。我们扩大了我们的研究,采用基于分位数的格兰杰因果关系方法来评估稳健性。鉴于近期经济形势和新冠肺炎疫情,研究结果建议中国政府应注重扩大开放,改善国内商业环境,以增强外国投资者的信任,避免外国直接投资流入可能下降。©2022,布加勒斯特经济研究大学。版权所有。
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来源期刊
Economic Computation and Economic Cybernetics Studies and Research
Economic Computation and Economic Cybernetics Studies and Research MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.80
自引率
22.20%
发文量
60
审稿时长
>12 weeks
期刊介绍: ECECSR is a refereed journal dedicated to publication of original articles in the fields of economic mathematical modeling, operations research, microeconomics, macroeconomics, mathematical programming, statistical analysis, game theory, artificial intelligence, and other topics from theoretical development to research on applied economic problems. Published by the Academy of Economic Studies in Bucharest, it is the leading journal in the field of economic modeling from Romania.
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