Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/314347 
Year of Publication: 
2024
Citation: 
[Journal:] Economy, Business and Development: An International Journal (EB&D) [ISSN:] 2671-3470 [Volume:] 5 [Issue:] 1 [Year:] 2024 [Pages:] 1-13
Publisher: 
Ss. Cyril and Methodius University in Skopje, Faculty of Economics, Skopje
Abstract: 
The Covid-19 crisis spread around the world at lightning speed mainly due to the interconnectedness of today's economies as evidenced by major disruptions in international trade. This article aims at assessing the possible shifts that coronavirus disease has triggered in trade activity of European countries in two particularly affected sectors, that is food and machinery and transport equipment. In this process, exploratory data analysis is conducted in order to accurately explain the patterns lying behind the observed variations in trade values. Furthermore, cluster analysis is performed to the sample of European countries by applying hierarchical and K-means clustering algorithms using Python's libraries. By examining clusters of countries with similar trade profiles, this article contributes to discussions on global value chains, and to which extent there is data-based evidence to indicate systemic changes and reconfiguration of global production processes.
Subjects: 
cluster analysis
Covid-19
Europe
International trade
programming models
JEL: 
C38
C80
F14
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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