We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Graph-Based Network Analysis of Global Coffee Trade—The Impact of COVID-19 on Trade Relations in 2020.
- Authors
Bacsi, Zsuzsanna; Fekete-Farkas, Mária; Ma'ruf, Muhammad Imam
- Abstract
International trade relations have been considerably affected by the coronavirus pandemic. Our analysis was aimed at identifying its effect on the global trade network of green coffee beans, comparing the COVID-year 2020 to the pre-COVID year 2018. The methodology applied was that of social network analysis using trade value data for the above two years. Our results show that between the pre-pandemic and the pandemic years, the role of some major actors considerably changed, and many trade relationships were disrupted. Overall trade value decreased, and the number of trade connections also changed—some countries gained, but more countries lost compared to their former positions. The network measures, i.e., degree distribution, betweenness, closeness and eigenvector centralities, modularity-based clustering and the minimum spanning tree, were suitable for quantifying these changes and identifying differences between affected countries. The changes found between the two years are assumed to be due to the effects of the pandemic, but further analysis is needed to reveal the actual mechanisms leading to these results.
- Subjects
COFFEE beans; INTERNATIONAL trade; COFFEE industry; SPANNING trees; SOCIAL network analysis; COVID-19 pandemic
- Publication
Sustainability (2071-1050), 2023, Vol 15, Issue 4, p3289
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su15043289