The Similarity of Global Value Chains: A Network-Based Measure
Zhen Zhu, Greg Morrison, Michelangelo Puliga, Alessandro Chessa,, Massimo Riccaboni

TL;DR
This paper introduces a novel network-based measure to compare global value chains across countries and time, capturing complex relationships and revealing trends and disruptions in global trade structures.
Contribution
It develops a new similarity measure for GVCs using network analysis, improving comparison accuracy over existing methods by considering all direct and indirect relationships.
Findings
GVC similarity has increased globally from 1995 to 2011.
Economic crisis temporarily reduced GVC similarity.
The measure helps assess dependency, risk, and competitiveness in global trade.
Abstract
International trade has been increasingly organized in the form of global value chains (GVCs) where different stages of production are located in different countries. This recent phenomenon has substantial consequences for both trade policy design at the national or regional level and business decision making at the firm level. In this paper, we provide a new method for comparing GVCs across countries and over time. First, we use the World Input-Output Database (WIOD) to construct both the upstream and downstream global value networks, where the nodes are individual sectors in different countries and the links are the value-added contribution relationships. Second, we introduce a network-based measure of node similarity to compare the GVCs between any pair of countries for each sector and each year available in the WIOD. Our network-based similarity is a better measure for node…
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Taxonomy
TopicsEconomic and Technological Innovation · Global trade and economics · Environmental Impact and Sustainability
