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

Funke, Michael; Tsang, Andrew

doi:10.1016/j.econmod.2020.08.018

Cited by 48 publications

(18 citation statements)

References 18 publications

(14 reference statements)

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“…Despite the burden, efficient responses came from India, China, Russia 70 and few other non-OECD economies. 71 Another side of the equation was the unstable response burdened with several core inefficiencies in the traditional Western European high-income societies such as Italy, Spain 72 and few others. Thus, COVID-19 has revealed huge mutual interconnectivity among the distant economic hubs of the modern-day world.…”

Section: Resultsmentioning

confidence: 99%

<p>A Country Pandemic Risk Exposure Measurement Model</p>

Grima¹,

Kızılkaya²,

Rupeika-Apoga³

et al. 2020

RMHP

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The purpose of this study is to develop a Pandemic Risk Exposure Measurement (PREM) model to determine the factors that affect a country's prospective vulnerability to a pandemic risk exposure also considering the current COVID-19 pandemic. Methods: To develop the model, drew up an inventory of possible factor variables that might expose a country's vulnerability to a pandemic such as COVID-19. This model was based on the analysis of existing literature and consultations with some experts and associations. To support the inventory of selected possible factor variables, we have conducted a survey with participants sampled from people working in a risk management environment carrying out a risk management function. The data were subjected to statistical analysis, specifically exploratory factor analysis and Cronbach Alpha to determine and group these factor variables and determine their reliability, respectively. This enabled the development of the PREM model. To eliminate possible bias, hierarchical regression analysis was carried out to examine the effect of the "Level of Experienced Hazard of the Participant (LEH)" considering also the "Level of Expertise and Knowledge about Risk and Risk Management (LEK)". Results: Exploratory factor analysis loaded best on four factors from 19 variables: Demographic Features, Country's Activity Features, Economic Exposure and Societal Vulnerability (i.e. the PREM Model). This model explains 65.5% of the variance in the level of experienced hazard (LEH). Additionally, we determined that LEK explains only about 2% of the variance in LEH. Conclusion: The developed PREM model shows that monitoring of Demographic Features, Country's Activity Features, Economic Exposure and Societal Vulnerability can help a country to identify the possible impact of pandemic risk exposure and develop policies, strategies, regulations, etc., to help a country strengthen its capacity to meet the economic, social and in turn healthcare demands due to pandemic hazards such as COVID-19.

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Section: Resultsmentioning

confidence: 99%

<p>A Country Pandemic Risk Exposure Measurement Model</p>

Grima¹,

Kızılkaya²,

Rupeika-Apoga³

et al. 2020

RMHP

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show abstract

“…Thus, from an informational efficiency perspective, investing in digital assets during big crises, such as the COVID-19 pandemic, can be considered riskier than equities (Lahmiri & Bekiros, 2020). Accordingly, the policy measures introduced by policymakers around the world to cope with the global recession should consist of monetary, fiscal and investing measures, along with public health and human control measures (Ashraf, 2020;Funke & Tsang, 2020;Gong et al, 2020;Shehzad et al, 2020).…”

Section: Finance Industrymentioning

confidence: 99%

Exploring The Impact of Pandemic on Global Economy: Perspective from Literature Review

Nguyen

Tran

et al. 2021

JSSH

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The pandemic has caused several health issues and deaths and numerous severe devastations to the global economy. Due to the extreme impacts of the epidemics, it is crucial to investigate the pandemics and their pessimistically hidden influences to devise proper strategies. However, although this topic gains enormous recognition from scholars and researchers, there is still an inadequacy of a comprehensive literature review on the issues, and in-depth research on individual aspects of the world economy. Accordingly, the objective of this paper is to contribute a literature review that synthesises and evaluates prior research, to examine the current state of the pandemic impacts on the global economy, as well as become the requisite foundation for the practitioners to perceive how to respond to a pandemic in the future. A literature review is conducted, with 254 most relevant articles are analysed and classified based on the proposed framework. Thus, the findings of this study contribute diverse theoretical and practical insights concerning pandemics and the global economy. The results of this paper indicate the current status of the literature review and discover future research directions. Additionally, this paper proposes an integrated framework of the most influenced industries, followed by some emerging solutions to the most suffering sectors. Future research directions are further suggested based on the identified research gaps and the analysis results.

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“…The ongoing pandemic outbreak that spreads with alarming speed has urged researchers and policymakers to empirically investigate its consequences on economic performances and propose suitable policy measures (Baldwin & Mauro 2020;He et al 2020;Funke & Tsang 2020;Kerr 2020). Baldwin and Freedman (2020) state that the current pandemic distorts the international trade and supply chain as demand worldwide had reduced drastically.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The severity impact of Covid-19 has attracted the attention of policymakers and researchers to understand how it affects economic performances (Demir et al 2020;Funke & Tsang 2020;Kerr 2020). However, most literature focussed more on the financial impact (see Vidya & Prabheesh 2020).…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Malaysia’s Bilateral Export Post Covid-19: A Gravity Model Analysis

2021

JEM

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The recent pandemic outbreak has distorted international trade flows as the global economic activity reaches a nearstandstill due to stricter movement control imposed by most countries worldwide. Despite gaining the researcher's attention, the impact of Covid-19 on trade performances are still relatively understudied. Hence, this study aims to analyse the impact of the Covid-19 pandemic outbreak on the bilateral sectoral export for Malaysia. This study employs Poisson Pseudo Maximum Likelihood (PPML) regressions to analyse the sectoral impact in gravity models. The findings provide new perspectives on the varying impacts of the current pandemic outbreak on sectoral trade performances. The dummy variables that represent the existence of Covid-19 have significantly reduced bilateral exports for 11 sectors while increased the exports for seven sectors. Meanwhile, the severity of the Covid-19 outbreak (measured by the number of new cases and death cases) in Malaysia has negative impacts on 14 sectors. The reason for this is that when the current pandemic outbreak in Malaysia is more severe, the government has to enforce stricter movement controls that affect productions and reduce exports. On the other hand, the severity of the Covid-19 outbreak in trading partners has positive impacts on the export for 13 sectors in Malaysia. This is because the more severe pandemic outbreak in trading nations causes lower production capacities and thus higher dependence on imported goods. Differences between the impact of Covid-19 existence and severity by sectors should serve as a red flag for Malaysia's policymakers to take immediate actions to minimise the impact of the ongoing pandemic outbreak and maximise gains from sectors that have higher demand post Covid-19. The net negative impact on the export performance further reiterates the need for government intervention policies to ensure domestic firms can withstand the current tide, which then minimises the social and economic impacts and helps the economy to recover.

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

Cited by 48 publications

References 18 publications

<p>A Country Pandemic Risk Exposure Measurement Model</p>

<p>A Country Pandemic Risk Exposure Measurement Model</p>

Exploring The Impact of Pandemic on Global Economy: Perspective from Literature Review

Dynamics of Malaysia’s Bilateral Export Post Covid-19: A Gravity Model Analysis

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