How the Global Trade Linkages are Evolving? -Insight from Social Network Analysis Based on Global Multi-Regional Input-Output Model

Authors

  • Kaiyao Wu Shanghai University of International Business and Economics, Shanghai 201620, China
  • Chi Zhou Shanghai University of International Business and Economics, Shanghai 201620, China
  • Dechun Yan Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China

DOI:

https://doi.org/10.37256/redr.212021714

Keywords:

multiple-regional input-output model, social network analysis, international trade, global economy

Abstract

With the rise and fall of the trade shares of different countries in the world, does the trade network structure change at the same time? Do the dynamics of countries' positions differ in the evolution of trade network structure? Based on the latest world input-output database (WIOD), this paper illustrates the accounting models of international trade, and describes the dynamics of the global trade network structure and the countries' positions. Research shows that China and the emerging countries developed faster than the developed countries during 2000-2014, and play important roles, not only in the trade shares, but also in global trade networks. The innovation of this study is that we present a systemic and explicit portrait of the global pattern of trade linkages between countries based on a set of social network analysis methods, and we find that the dynamic of linkage network is more violative than that of linkage flow.

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Published

2021-02-08

How to Cite

Kaiyao Wu, Chi Zhou, & Dechun Yan. (2021). How the Global Trade Linkages are Evolving? -Insight from Social Network Analysis Based on Global Multi-Regional Input-Output Model. Regional Economic Development Research, 2(1), 9–24. https://doi.org/10.37256/redr.212021714