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新冠疫情对中国金融市场的影响——来自疫情期间及疫情爆发前的证据。

Does COVID-19 impact on financial markets of China-evidence from during and pre-COVID-19 outbreak.

机构信息

School of Management, Harbin Institute of Technology, Harbin, Heilongjiang, 150006, China.

出版信息

Environ Sci Pollut Res Int. 2023 Jan;30(4):10165-10178. doi: 10.1007/s11356-022-22721-6. Epub 2022 Sep 7.

DOI:10.1007/s11356-022-22721-6
PMID:36070040
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9449942/
Abstract

During the outbreak of COVID-19, concern significantly influenced our financial system. This new paper's primary assessment of the COVID-19 virus affects the world's major economies and financial markets. This paper utilizes an event analysis approach and a data model to investigate the influence of COVID-19 on the financial market system from three viewpoints: (1) supply chain finance and titles, (2) processing system, and (3) the financial system of the organization. According to data analysis, the model built in this work may properly depict the influence of COVID-19 on the financial market system. The results indicated that the low age coefficient (p-value (p 0.05)) and a higher blocking condition (p-value (p > 0.05)) impact city tourism market system with p-values of 0.002 and 0.004, respectively. Other results show the impact of the Chinese New Year vacations. Since then, the government has slowly stabilized its recovery, with many measures taken to limit the epidemic in February and a series of regulatory measures enacted to stabilize financial markets. These findings show a small but statistically significant degree of stabilization in international financial markets in response to stay-at-home government policies and social distancing measures, which is encouraging for political actors concerned about economic performance during the coronavirus 2019 pandemic response.

摘要

在 COVID-19 爆发期间,人们对疫情的担忧显著影响了我们的金融体系。本研究主要评估了 COVID-19 病毒对世界主要经济体和金融市场的影响。本文利用事件分析方法和数据模型,从三个方面探讨了 COVID-19 对金融市场体系的影响:(1)供应链金融和标题,(2)处理系统,(3)组织的金融系统。根据数据分析,本工作中构建的模型可以适当描述 COVID-19 对金融市场体系的影响。结果表明,低年龄系数(p 值(p 0.05))和更高的阻塞状态(p 值(p > 0.05))对城市旅游市场体系有影响,p 值分别为 0.002 和 0.004。其他结果表明中国新年假期的影响。此后,政府逐步稳定复苏,在 2 月采取了多项限制疫情的措施,并颁布了一系列稳定金融市场的监管措施。这些发现表明,国际金融市场在政府居家政策和社会隔离措施方面出现了一定程度的稳定,这对于关注冠状病毒 2019 大流行应对期间经济表现的政治行为体来说是令人鼓舞的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87da/9449942/2d3b065823a3/11356_2022_22721_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87da/9449942/f89a4f148323/11356_2022_22721_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87da/9449942/135f2daec2b3/11356_2022_22721_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87da/9449942/2d3b065823a3/11356_2022_22721_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87da/9449942/f89a4f148323/11356_2022_22721_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87da/9449942/135f2daec2b3/11356_2022_22721_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87da/9449942/2d3b065823a3/11356_2022_22721_Fig3_HTML.jpg

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