Economic vulnerability assessment of EU countries to the impact of COVID-19 pandemic with the revised CEV index

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The COVID-19 pandemic had a wide range of detrimental consequences for the global and national economies. It is vital to identify particularly susceptible areas to adopt effective strategies to alleviate the adverse effects of a pandemic. The objective of the paper is to assess the economic vulnerability of EU countries to the COVID-19 pandemic impact using the revised CEV Index. In the study, methods of multivariate statistics were used to analyse the effects of the pandemic. The revised CEVI replaces the 20-dimensional set of features with one aggregate measure, estimated for 27 EU Member States. According to the study, the economic vulnerability of EU countries to the COVID-19 pandemic varies significantly. The most vulnerable countries are in southern Europe, where the tourism sector plays a significant role in GDP composition. Highly susceptible are also Baltic countries: Latvia and Lithuania. The pandemic's harmful impact was the least seen in Germany and Scandinavian countries. The results of this study can be used as a tool for the formulation of policies aimed at overcoming the adverse consequences of economic vulnerability. The CEVI indicates certain areas in the country's economy that make it more fragile. Thus, it can play a significant role in the decision-making process. In the event of a pandemic shock, the CEVI, in combination with other tools, can be an effective instrument for improving the economy's resilience and helping it recover faster.

Tytuł
Economic vulnerability assessment of EU countries to the impact of COVID-19 pandemic with the revised CEV index
Twórca
Brzyska Joanna ORCID 0000-0003-3589-6313
Słowa kluczowe
economic vulnerability; COVID-19 pandemic; multivariate statistics methods; synthetic measure
Słowa kluczowe
wrażliwość ekonomiczna; pandemia COVID-19; statystyki wielowymiarowe; miara syntetyczna
Współtwórca
Szamrej-Baran Izabela ORCID 0000-0002-9824-362X
Data
2022
Typ zasobu
artykuł
Identyfikator zasobu
DOI 10.1016/j.procs.2022.09.382
Źródło
Procedia Computer Science, 2022, vol. 207, pp. 3244-3253
Język
angielski
Prawa autorskie
CC BY-NC-ND CC BY-NC-ND
Dyscyplina naukowa
Dziedzina nauk społecznych; Ekonomia i finanse
Kategorie
Publikacje pracowników US
Data udostępnienia25 lis 2022, 13:59:45
Data mod.25 lis 2022, 13:59:45
DostępPubliczny
Aktywnych wyświetleń0