An Empirical Analysis of International Trade Network of Iron Ore

Cong Cong Wang

doi:10.4028/www.scientific.net/AMM.40-41.887

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 40-41An Empirical Analysis of International Trade...

An Empirical Analysis of International Trade Network of Iron Ore

Abstract:

This paper uses data of international iron ore trade in 2009, which cover 61 countries and 134 trade relationships, to evaluate the bargaining power of both export and import countries from the perspective of social network. The countries’ positions in the iron ore trade network and their bargaining power are examined through analysis of their Freeman degree centralities, Bonacich powers, betweenness centralities, and flow centralities. The results of these analyses identify prominent exporters, importers and brokers with great bargaining power, and countries with potential to improve their bargaining positions. The results also reveal the reason why the international negotiations of iron ore trade were almost always in favor of exporters.

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Periodical:

Applied Mechanics and Materials (Volumes 40-41)

Pages:

887-893

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.40-41.887

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Online since:

November 2010

Authors:

Cong Cong Wang

Keywords:

Betweenness Centrality, Bonacich Power, Flow Centrality, Freeman Degree Centrality, Iron Ore, Trade Network

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References

[1] X. Zhang: On the Import Mechanism of Iron Ore of China, Manager's Journal, vol. 317(2010), p.128–129.

Google Scholar

[2] A. Antkiewicz and J. Whalley: Recent Chinese Buyout Activity and the Implications for Wider Global Investment Rules, Canadian Public Policy, vol. 33(2007), p.207–226.

DOI: 10.3138/cpp.33.2.207

Google Scholar

[3] X. Vives: Innovation and Competitive Pressure, The Journal of Industrial Economics, vol. 56(2008) p.419–469.

Google Scholar

[4] W. M. Corden: China's Exchange Rate Policy, Its Current Account Surplus and Global Imbalances, The Economic Journal, vol. 119(2009), pp. F430–F441.

DOI: 10.1111/j.1468-0297.2009.02319.x

Google Scholar

[5] R. A. Hanneman and M. Riddle: Introduction to Social Network Methods, unpublished.

Google Scholar

[6] L. C. Freeman: Centrality in Social Networks: Conceptual Clarification, Social Networks, vol. 1(1979), 215–239.

DOI: 10.1016/0378-8733(78)90021-7

Google Scholar

[7] P. Bonacich: Power and Centrality: A Family of Measures, American Journal of Sociology, vol. 92, (1987), p.1170–1182.

DOI: 10.1086/228631

Google Scholar

[8] L. C. Freeman, S. P. Borgatti, and D. R. White: Centrality in Valued Graphs: A Measure of Betweenness Based on Network Flow, Social Networks, vol. 13(1991), p.141–154.

DOI: 10.1016/0378-8733(91)90017-n

Google Scholar