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Author:

Xing, Lizhi (Xing, Lizhi.) (Scholars:邢李志)

Indexed by:

SSCI Scopus SCIE PubMed

Abstract:

The input-output table is comprehensive and detailed in describing the national economic system with complex economic relationships, which embodies information of supply and demand among industrial sectors. This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics. Global Industrial Strongest Relevant Network models were established by extracting the strongest and most immediate industrial relevance in the global economic system with inter-country input-output tables and then transformed into Global Industrial Resource Competition Network/Global Industrial Production Collaboration Network models embodying the competitive/collaborative relationships based on bibliographic coupling/co-citation approach. Three indicators well suited for these two kinds of weighted and non-directed networks with self-loops were introduced, including unit weight for competitive/collaborative power, disparity in the weight for competitive/collaborative amplitude and weighted clustering coefficient for competitive/collaborative intensity. Finally, these models and indicators were further applied to empirically analyze the function of sectors in the latest World Input-Output Database, to reveal inter-sector competitive/collaborative status during the economic globalization.

Keyword:

Author Community:

  • [ 1 ] [Xing, Lizhi]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China

Reprint Author's Address:

  • 邢李志

    [Xing, Lizhi]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China

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Source :

PLOS ONE

ISSN: 1932-6203

Year: 2017

Issue: 9

Volume: 12

3 . 7 0 0

JCR@2022

ESI Discipline: Multidisciplinary;

ESI HC Threshold:283

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 11

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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