Literature DB >> 34630751

Covid-19 Economic Vulnerability Index: EU Evidence.

Joanna Brzyska1, Izabela Szamrej-Baran1.   

Abstract

The COVID-19 pandemic outbreak caused many negative effects on both the global and national economies. To implement effective policies to mitigate the negative impact of a pandemic, it is necessary to identify particularly vulnerable areas. The objective of this paper is to rank the EU countries in terms of the level of vulnerability of their economies to the impact of the pandemic. For this purpose, the COVID-19 Economic Vulnerability Index (CEVI) was constructed. It replaces the 15-dimensional set of characteristics of the countries with one aggregate, synthetic indicator estimated for 27 EU member states. In the study multivariate statistical methods, including agglomerative clustering and multi-attribute methods of object assessment were used to analyse the effects of the pandemic. The research shows that EU countries have different levels of economic vulnerability to the impact of the COVID-19 pandemic. The southern European countries (Spain, Croatia, Greece and Italy), where the tourism sector plays an important role in GDP composition, are the most fragile. Germany and the Scandinavian countries proved to be the least sensitive to the negative impact of the pandemic. The CEVI can be an important part of the decision support system. It enables the identification of countries that show greater vulnerability to the economic impact of the COVID-19 pandemic and may help support countries that need help the most. The proposed index also indicates certain areas in the country's economy that make it more vulnerable. The CEVI in combination with other instruments can be a very useful tool to improve the economy's resilience and help it recover faster in the event of a pandemic shock.
© 2021 The Author(s). Published by Elsevier B.V.

Entities:  

Keywords:  COVID-19 pandemic; economic vulnerability; multivariate statistical methods; synthetic measure

Year:  2021        PMID: 34630751      PMCID: PMC8486256          DOI: 10.1016/j.procs.2021.09.128

Source DB:  PubMed          Journal:  Procedia Comput Sci


  4 in total

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Authors:  Samba Diop; Simplice A Asongu; Joseph Nnanna
Journal:  Int Soc Sci J       Date:  2021-06-15

2.  A Statistical Analysis of Impact of COVID19 on the Global Economy and Stock Index Returns.

Authors:  Parag Verma; Ankur Dumka; Anuj Bhardwaj; Alaknanda Ashok; Mukesh Chandra Kestwal; Praveen Kumar
Journal:  SN Comput Sci       Date:  2021-01-09

3.  An interactive web-based dashboard to track COVID-19 in real time.

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Journal:  Lancet Infect Dis       Date:  2020-02-19       Impact factor: 25.071

  4 in total

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