经济政策的不确定性:一些“一带一路”国家经济发展的跨国联系和溢出效应。

IF 2.6 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Systems Science & Complexity Pub Date : 2023-01-01 Epub Date: 2023-05-20 DOI:10.1007/s11424-023-1060-0
Jing Yuan, Yajing Dong, Weijie Zhai, Zongwu Cai
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引用次数: 1

摘要

随着经济环境不确定性的增加,研究各国经济政策不确定性的联动和溢出效应具有重要意义。特别选取一带一路沿线8个国家(中国、韩国、克罗地亚、印度、俄罗斯、希腊、巴基斯坦、新加坡)为核心国家,4个国家(德国、法国、日本、英国)为周边国家,然后采用copula技术和混合频率全局向量自回归模型分别分析了12个国家经济政策不确定性的相关性和溢出效应。所提出的实证结果清楚地表明,“一带一路”八个核心国家之间的EPU相关性更强,核心国家对周边国家的溢出效应具有统计学意义。因此,为了实现和谐共赢的发展,一带一路国家应该密切关注经济合作区,因为经济合作区的稳定极大地促进了经济的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic Policy Uncertainty: Cross-Country Linkages and Spillover Effects on Economic Development in Some Belt and Road Countries.

With the increase of economic environment uncertainty, it is of great importance to study the linkage and spillover effects of economic policy uncertainty among countries. Especially, this article selects eight countries along the Belt and Road as the core countries (China, Korea, Croatia, India, Russia, Greece, Pakistan, and Singapore) and four countries (Germany, France, Japan, and UK) as the peripheral countries, and then copula technique and mixed-frequency global vector autoregressive model are employed to analyze the correlation and the spillover effect of the economic policy uncertainty (EPU) for the twelve selected countries, respectively. The proposed empirical findings show clearly that the EPU correlation among the eight core Belt and Road countries is stronger and the spillover effect of the core countries to the peripheral countries is statistically significant. As a result, for harmonious and win-win development, the Belt and Road countries should pay a close attention to the EPU, because the stability of the EPU promotes greatly the economy development.

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来源期刊
Journal of Systems Science & Complexity
Journal of Systems Science & Complexity 数学-数学跨学科应用
CiteScore
3.80
自引率
9.50%
发文量
90
审稿时长
6-12 weeks
期刊介绍: The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.
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