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中国人民银行对新冠疫情的应对：定量评估

The People's bank of China's response to the coronavirus pandemic: A quantitative assessment.

作者信息

Funke Michael, Tsang Andrew

机构信息

Hamburg University, Department of Economics, Germany.

CESifo Munich, Germany.

出版信息

Econ Model. 2020 Dec;93:465-473. doi: 10.1016/j.econmod.2020.08.018. Epub 2020 Aug 31.

DOI:10.1016/j.econmod.2020.08.018
PMID:32904582
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7456622/
Abstract

The People's Bank of China (PBoC) has implemented numerous measures to cushion the impacts of the COVID-19 health crisis on the Chinese economy. Since the current monetary policy framework features a multi-instrument mix of liquidity tools and pricing signals, we employ a dynamic-factor modelling approach to derive a composite indicator of China's monetary policy stance. Our quantitative assessment shows that the PBoC's policy response to the outbreak of the COVID-19 pandemic has been swift and decisive. Specifically, our estimates reveal that the PBoC has implemented novel policy measures to ensure that commercial banks maintain liquidity access and credit provision during the COVID-19 crisis.

摘要

中国人民银行（PBoC）已采取多项措施，以缓解新冠疫情对中国经济的影响。由于当前的货币政策框架具有流动性工具和价格信号的多种工具组合，我们采用动态因子建模方法来推导中国货币政策立场的综合指标。我们的定量评估表明，中国人民银行对新冠疫情爆发的政策反应迅速而果断。具体而言，我们的估计显示，中国人民银行已实施新的政策措施，以确保商业银行在新冠疫情危机期间保持流动性获取和信贷供应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/e145fc6ed12e/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/17ee3be07a42/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/2aba13c43d45/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/98fdce1310fa/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/07c969354e51/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/e145fc6ed12e/gr5_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/17ee3be07a42/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/2aba13c43d45/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/98fdce1310fa/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/07c969354e51/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/7456622/e145fc6ed12e/gr5_lrg.jpg

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本文引用的文献

1
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2
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.旅行限制对 2019 年新型冠状病毒（COVID-19）疫情传播的影响。
Science. 2020 Apr 24;368(6489):395-400. doi: 10.1126/science.aba9757. Epub 2020 Mar 6.
3
Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study.
关于新冠疫情的经济影响：一项文本挖掘文献分析
Rev Dev Econ. 2022 Sep 6. doi: 10.1111/rode.12931.
4
The impact of COVID-19 on commodity options market: Evidence from China.新冠疫情对商品期权市场的影响：来自中国的证据。
Econ Model. 2022 Nov;116:105998. doi: 10.1016/j.econmod.2022.105998. Epub 2022 Aug 23.
5
Modeling COVID-19 Impacts and Response Strategies in the Construction Industry: PLS-SEM Approach.建筑行业中 COVID-19 影响与应对策略的建模：PLS-SEM 方法。
Int J Environ Res Public Health. 2022 Apr 27;19(9):5326. doi: 10.3390/ijerph19095326.
6
Economic recovery forecasts under impacts of COVID-19.新冠疫情影响下的经济复苏预测。
Econ Model. 2022 May;110:105821. doi: 10.1016/j.econmod.2022.105821. Epub 2022 Mar 4.
7
Factors that most expose countries to COVID-19: a composite indicators-based approach.使各国最易受新冠病毒影响的因素：一种基于综合指标的方法。
GeoJournal. 2022;87(6):5435-5449. doi: 10.1007/s10708-021-10557-5. Epub 2021 Dec 2.
8
A Country Pandemic Risk Exposure Measurement Model.一个国家的大流行风险暴露度量模型。
Risk Manag Healthc Policy. 2020 Oct 9;13:2067-2077. doi: 10.2147/RMHP.S270553. eCollection 2020.
实时预测和预报源自中国武汉的 2019-nCoV 疫情在国内和国际的潜在传播：一项建模研究。
Lancet. 2020 Feb 29;395(10225):689-697. doi: 10.1016/S0140-6736(20)30260-9. Epub 2020 Jan 31.
4
A primer on stochastic epidemic models: Formulation, numerical simulation, and analysis.随机流行病模型入门：公式化、数值模拟与分析
Infect Dis Model. 2017 Mar 11;2(2):128-142. doi: 10.1016/j.idm.2017.03.001. eCollection 2017 May.
5
Modeling the spatial spread of infectious diseases: the GLobal Epidemic and Mobility computational model.传染病空间传播建模：全球疫情与流动性计算模型
J Comput Sci. 2010 Aug 1;1(3):132-145. doi: 10.1016/j.jocs.2010.07.002.