Closeness centrality for similarity-weight network and its application to measuring industrial sectors’ position on the Global Value Chain

Jun Guan, Yafei Li, Lizhi Xing, Yan Li and Guoqiang Liang

Physica A: Statistical Mechanics and its Applications, 2020, vol. 541, issue C

Abstract: This paper focuses on measuring the industrial sector’s position on the Global Value Chain (GVC), as reinforcements to the present studies on international trade. We firstly reconsidered the length-related and position-related measures in literatures about vertical specialization from the perspective of bibliometrics and econophysics. Secondly, the inter-country and inter-sector propagating process of intermediate goods was redefined, resulting in the concept of Strongest Relevance Path Length (SRPL) based on Revised Floyd–Warshall Algorithm (RFWA). Thirdly, enlightened by closeness centrality, we introduced two new SRPL-based indices to measure the Interdependence from a given sector to all its upstream and downstream sectors, and proposed Relative Upstreamness Index (RUI) to measure the relative position of the industrial sector. Finally, these indices were applied to the empirical analysis of the global economic system by physical statistics.

Keywords: Global value chain; Upstreamness; Inter-country input–output table; Floyd–Warshall algorithm; Closeness centrality (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:541:y:2020:i:c:s0378437119318679

DOI: 10.1016/j.physa.2019.123337

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