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Author:

Yang, Hua (Yang, Hua.) | Wang, Chao (Wang, Chao.)

Indexed by:

EI Scopus

Abstract:

Utilizing the UN Comtrade database's iron ore trade data from 1991 to 2020, this study employs complex network theory to construct a global iron ore trade network. The trade pattern is analyzed using network parameters, such as average degree, average clustering coefficient, heterogeneity, and centrality index. Findings reveal a highly heterogeneous global iron ore trade network dominated by a few core countries, exhibiting extreme fragility. China, Japan, and South Korea hold significant import market positions, with Asia's influence growing. Australia and Brazil dominate the export market, while Canada and South Africa demonstrate promising export potential. The Netherlands, the United States, Germany, and Turkey serve as iron ore trading hubs, playing a crucial role in resource supply security. © 2023 ACM.

Keyword:

Commerce Complex networks Iron ores Information management Economic geology Circuit theory

Author Community:

  • [ 1 ] [Yang, Hua]College of Economics and Management, Beijing University of Technology, China
  • [ 2 ] [Wang, Chao]College of Economics and Management, Beijing University of Technology, China

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Year: 2023

Page: 133-137

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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