The Multilayer Architecture of the Global Input-Output Network and its Properties

46 Pages Posted: 11 Oct 2021 Last revised: 24 Nov 2021

See all articles by Rosanna Grassi

Rosanna Grassi

University of Milano - Bicocca - Department of Statistics and Quantitative Methods

Paolo Bartesaghi

University of Milano - Bicocca

Gian Paolo Clemente

epartment of Mathematics for Economics, Financial and Actuarial Sciences, Università Cattolica del Sacro Cuore

Duc Thi Luu

University of Kiel- Faculty of Economics and Social Sciences

Abstract

We analyse the multilayer architecture of the global input-output network using sectoral trade data (WIOD, 2016 release). With a focus on the mesoscale structure and related properties, we find that the multilayer analysis that takes into consideration the splitting into industry-based layers is able to catch more peculiar relationships between countries that cannot   be detected from the analysis of the single-layer aggregated network. We can identify several large international communities in which some countries trade more intensively in some specific  layers. However, interestingly,   our results show that these clusters can restructure  and evolve over time.  In general, not only their internal composition changes, but the centrality rankings of the members inside are also reordered, with the diminishing role of  industries from some countries  and  the growing importance of those from some other countries. These changes  in the large international clusters may reflect the outcomes  and the dynamics of cooperation as well as competition among industries and among countries in the global input-output network.

Keywords: Input-output linkages, global trade, international trade clusters, mesoscale structure, multilayer architecture, layer-layer interdependencies

Suggested Citation

Grassi, Rosanna and Bartesaghi, Paolo and Clemente, Gian Paolo and Luu, Duc Thi, The Multilayer Architecture of the Global Input-Output Network and its Properties. Available at SSRN: https://ssrn.com/abstract=3940200

Rosanna Grassi (Contact Author)

University of Milano - Bicocca - Department of Statistics and Quantitative Methods ( email )

Milano
Italy

Paolo Bartesaghi

University of Milano - Bicocca ( email )

Gian Paolo Clemente

epartment of Mathematics for Economics, Financial and Actuarial Sciences, Università Cattolica del Sacro Cuore ( email )

Largo Gemelli, 1
Via Necchi 9
Milan, MI 20123
Italy

Duc Thi Luu

University of Kiel- Faculty of Economics and Social Sciences ( email )

Olshausenstr. 40
D-24118 Kiel, Schleswig-Holstein 24118
Germany

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
29
Abstract Views
296
PlumX Metrics