Literature DB >> 32240201

Core-periphery structure in sectoral international trade networks: A new approach to an old theory.

Olivera Kostoska1,2, Sonja Mitikj2, Petar Jovanovski2, Ljupco Kocarev2,3.   

Abstract

The research on core-periphery structure of global trade from a complex-network perspective has shown that the world system is hierarchically organized into blocks and that countries play different roles in the world economy. Yet, little attention has been paid to investigating whether the sectoral international trade networks conform to a core-periphery structure, hence what is the role of different levels of processing in creating and maintaining structural inequality. This issue is of particular importance given the contemporary focus upon global production networks and reshaping of the international division of labor. With this in mind, we propose a model (LARDEG) from network science to reexamine old theories in economics, such as core-periphery structures in sectoral international trade networks and test whether the global value chains have changed structural positions in terms of the level of processing. The economic background of our model permitting a more accurate sorting of countries into structural positions and the general stability of results have provided for a more solid measurements than has hereto been possible. Our algorithm naturally produces networks with hierarchically nested block structure obtained from an iterative decomposition of the network periphery such that each block represents a vertex set of a maximal size sub-graph existing at different levels. The results not only lend support to the previous hierarchical model of the world-system (core, semi-periphery, and periphery) but also find that, depending on particular industry, the number of analytically identifiable blocks could be more than three. We show that 'size effect' is the one that prevails for core block membership at the first hierarchical level, while the GNI per capita is a much poorer proxy for the world-system status. Moreover, the patterns of blocks we label as the second- or third-level 'core' are strongly dependent on distance and geographical proximity. Overall, the various configurations of asymmetrical trade patterns between our blocks and the remarkably stable position of core countries at the top of structure clearly indicate that the rise of global production networks has actually restored a huge and unequal international division of labor splitting the world into 'headquarter' and 'factory' economies.

Entities:  

Mesh:

Year:  2020        PMID: 32240201      PMCID: PMC7117750          DOI: 10.1371/journal.pone.0229547

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  10 in total

1.  The product space conditions the development of nations.

Authors:  C A Hidalgo; B Klinger; A-L Barabási; R Hausmann
Journal:  Science       Date:  2007-07-27       Impact factor: 47.728

2.  World-trade web: topological properties, dynamics, and evolution.

Authors:  Giorgio Fagiolo; Javier Reyes; Stefano Schiavo
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-03-27

3.  Nonparametric weighted stochastic block models.

Authors:  Tiago P Peixoto
Journal:  Phys Rev E       Date:  2018-01       Impact factor: 2.529

4.  A Network of Networks Perspective on Global Trade.

Authors:  Julian Maluck; Reik V Donner
Journal:  PLoS One       Date:  2015-07-21       Impact factor: 3.240

5.  The rise of China in the International Trade Network: a community core detection approach.

Authors:  Zhen Zhu; Federica Cerina; Alessandro Chessa; Guido Caldarelli; Massimo Riccaboni
Journal:  PLoS One       Date:  2014-08-19       Impact factor: 3.240

6.  Discovering Preferential Patterns in Sectoral Trade Networks.

Authors:  Isabella Cingolani; Carlo Piccardi; Lucia Tajoli
Journal:  PLoS One       Date:  2015-10-20       Impact factor: 3.240

7.  Complexity, centralization, and fragility in economic networks.

Authors:  Carlo Piccardi; Lucia Tajoli
Journal:  PLoS One       Date:  2018-11-29       Impact factor: 3.240

8.  The nested structural organization of the worldwide trade multi-layer network.

Authors:  Luiz G A Alves; Giuseppe Mangioni; Isabella Cingolani; Francisco Aparecido Rodrigues; Pietro Panzarasa; Yamir Moreno
Journal:  Sci Rep       Date:  2019-02-27       Impact factor: 4.379

9.  The Impact of Services on Economic Complexity: Service Sophistication as Route for Economic Growth.

Authors:  Viktor Stojkoski; Zoran Utkovski; Ljupco Kocarev
Journal:  PLoS One       Date:  2016-08-25       Impact factor: 3.240

10.  Economic complexity unfolded: Interpretable model for the productive structure of economies.

Authors:  Zoran Utkovski; Melanie F Pradier; Viktor Stojkoski; Fernando Perez-Cruz; Ljupco Kocarev
Journal:  PLoS One       Date:  2018-08-07       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.