Global Value Chains of COVID-19 Materials: A Weighted Directed Network Analysis

Mathematics

Nikos C. Varsakelis¹  Georgios Angelidis¹  Evangelos Ioannidis¹  Ioannis E. Antoniou²  Charalambos Bratsas²  Georgios Makris² 

[1] School of Economics, Faculty of Economic and Political Sciences, Complex Systems Analysis Laboratory (COSAL), Laboratory of Economic Analysis and Policy (LEAP), Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece;School of Mathematics, Faculty of Sciences, Complex Systems Analysis Laboratory (COSAL), Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece;

关键词: global value chain;    complex networks;    weighted directed networks;    COVID-19 goods;    personal protective equipment;    degree;   

DOI  :  10.3390/math9243202

来源: DOAJ

【 摘 要 】

The COVID-19 pandemic caused a boom in demand for personal protective equipment, or so-called “COVID-19 goods”, around the world. We investigate three key sectoral global value chain networks, namely, “chemicals”, “rubber and plastics”, and “textiles”, involved in the production of these goods. First, we identify the countries that export a higher value added share than import, resulting in a “value added surplus”. Then, we assess their value added flow diversification using entropy. Finally, we analyze their egonets in order to identify their key affiliates. The relevant networks were constructed from the World Input-Output Database. The empirical results reveal that the USA had the highest surplus in “chemicals”, Japan in “rubber and plastics”, and China in “textiles”. Concerning value added flows, the USA was highly diversified in “chemicals”, Germany in “rubber and plastics”, and Italy in “textiles”. From the analysis of egonets, we found that the USA was the key supplier in all sectoral networks under consideration. Our work provides meaningful conclusions about trade outperformance due to the fact of surplus, trade flow robustness due to the fact of diversification, and trade partnerships due to the egonets analysis.

【 授权许可】

Unknown