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Strategic mineral resource competition: Strategies of the dominator and nondominator

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  • Zhu, Zhiyun
  • Dong, Zhiliang
  • Zhang, Yanxing
  • Suo, Guibin
  • Liu, Sen

Abstract

In the global situation of increasingly severe resource competition, to study the strategies of the dominator and the nondominator, this paper builds two different levels of networks based on the theory of two-mode complex networks: an overall network and a classification network. Through the analysis of the topological structure of the overall network, the “dominator” of international trade and the minerals with the highest comprehensive importance to the countries involved in global trade are identified, and the dominant mode of the dominator and the classification of the competition mineral are studied by analyzing the classification network. The results show the following: (1) The United States, China, and the EU were the dominators in the international trade of 24 strategic minerals from 2009 to 2018, and their dominant modes differed for different types of minerals. (2) Petroleum and coal are the minerals with the highest comprehensive importance for the countries involved in global trade, and each of the 24 minerals has a different degree of supply risk. (3) Ten minerals, namely, tungsten (Tu), uranium (Ur), phosphorus (Ap), coal (Coal), copper (Cu), zirconium (Zr), aluminum (Al), lithium carbonate (LiC), oil (Oil), and rare earth (RE), are competitive minerals; geographically, the resource competition in western and southern Africa, southern South America, western Asia, Australia and Russia is the most intense. Finally, the study provides suggestions on how countries with different resource endowments can reduce trade risks and maintain a dynamic balance of the “order” of peaceful development among the dominators.

Suggested Citation

  • Zhu, Zhiyun & Dong, Zhiliang & Zhang, Yanxing & Suo, Guibin & Liu, Sen, 2020. "Strategic mineral resource competition: Strategies of the dominator and nondominator," Resources Policy, Elsevier, vol. 69(C).
  • Handle: RePEc:eee:jrpoli:v:69:y:2020:i:c:s0301420720308679
    DOI: 10.1016/j.resourpol.2020.101835
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    References listed on IDEAS

    as
    1. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2014. "A dynamic analysis on global natural gas trade network," Applied Energy, Elsevier, vol. 132(C), pages 23-33.
    2. Guan, Qing & An, Haizhong, 2017. "The exploration on the trade preferences of cooperation partners in four energy commodities’ international trade: Crude oil, coal, natural gas and photovoltaic," Applied Energy, Elsevier, vol. 203(C), pages 154-163.
    3. Hao, Xiaoqing & An, Haizhong & Qi, Hai & Gao, Xiangyun, 2016. "Evolution of the exergy flow network embodied in the global fossil energy trade: Based on complex network," Applied Energy, Elsevier, vol. 162(C), pages 1515-1522.
    4. Xibo Wang & Jianping Ge & Wendong Wei & Hanshi Li & Chen Wu & Ge Zhu, 2016. "Spatial Dynamics of the Communities and the Role of Major Countries in the International Rare Earths Trade: A Complex Network Analysis," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-22, May.
    5. Liu, sen & Dong, Zhiliang, 2019. "Who will trade bauxite with whom? Finding potential links through link prediction," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    6. Kristen Hopewell, 2018. "Recalcitrant spoiler? Contesting dominant accounts of India’s role in global trade governance," Third World Quarterly, Taylor & Francis Journals, vol. 39(3), pages 577-593, March.
    7. Li, Huajiao & Fang, Wei & An, Haizhong & Yan, LiLi, 2014. "The shareholding similarity of the shareholders of the worldwide listed energy companies based on a two-mode primitive network and a one-mode derivative holding-based network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 525-532.
    8. An, Haizhong & Zhong, Weiqiong & Chen, Yurong & Li, Huajiao & Gao, Xiangyun, 2014. "Features and evolution of international crude oil trade relationships: A trading-based network analysis," Energy, Elsevier, vol. 74(C), pages 254-259.
    9. Alexandre Vidmer & An Zeng & Mat'uv{s} Medo & Yi-Cheng Zhang, 2015. "Prediction in complex systems: the case of the international trade network," Papers 1511.05404, arXiv.org.
    10. Ge, Jianping & Wang, Xibo & Guan, Qing & Li, Weiheng & Zhu, He & Yao, Min, 2016. "World rare earths trade network: Patterns, relations and role characteristics," Resources Policy, Elsevier, vol. 50(C), pages 119-130.
    11. J., Pablo Muñoz & Hubacek, Klaus, 2008. "Material implication of Chile's economic growth: Combining material flow accounting (MFA) and structural decomposition analysis (SDA)," Ecological Economics, Elsevier, vol. 65(1), pages 136-144, March.
    12. Kong, Rui & Xue, Fangfang & Wang, Jing & Zhai, Haiyan & Zhao, Lina, 2017. "Research on Mineral Resources and Environment of Salt Lakes in Qinghai Province based on System Dynamics Theory," Resources Policy, Elsevier, vol. 52(C), pages 19-28.
    13. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2014. "Competition, transmission and pattern evolution: A network analysis of global oil trade," Energy Policy, Elsevier, vol. 73(C), pages 312-322.
    14. Faure-Schuyer, Aur�lie & Egenhofer, Christian & Elkerbout, Milan, 2018. "Value Chains based on Mineral Raw Materials: Challenges for European Policy and Industry," CEPS Papers 13468, Centre for European Policy Studies.
    15. Li, Huajiao & Fang, Wei & An, Haizhong & Gao, Xiangyun & Yan, Lili, 2016. "Holding-based network of nations based on listed energy companies: An empirical study on two-mode affiliation network of two sets of actors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 224-232.
    16. John D. Nystuen & Michael F. Dacey, 1961. "A Graph Theory Interpretation Of Nodal Regions," Papers in Regional Science, Wiley Blackwell, vol. 7(1), pages 29-42, January.
    17. Dong, Di & An, Haizhong & Huang, Shupei, 2017. "The transfer of embodied carbon in copper international trade: An industry chain perspective," Resources Policy, Elsevier, vol. 52(C), pages 173-180.
    18. Jochen Wirtz & Christopher Tang, 2016. "Uber: Competing as Market Leader in the US versus Being a Distant Second in China," World Scientific Book Chapters, in: SERVICES MARKETING People Technology Strategy, chapter 19, pages 626-632, World Scientific Publishing Co. Pte. Ltd..
    19. An, Qier & Wang, Lang & Qu, Debin & Zhang, Hujun, 2018. "Dependency network of international oil trade before and after oil price drop," Energy, Elsevier, vol. 165(PA), pages 1021-1033.
    20. Vidmer, Alexandre & Zeng, An & Medo, Matúš & Zhang, Yi-Cheng, 2015. "Prediction in complex systems: The case of the international trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 188-199.
    21. Jasiński, Dominik & Cinelli, Marco & Dias, Luis C. & Meredith, James & Kirwan, Kerry, 2018. "Assessing supply risks for non-fossil mineral resources via multi-criteria decision analysis," Resources Policy, Elsevier, vol. 58(C), pages 150-158.
    22. Dahya, Jay & Dimitrov, Orlin & McConnell, John J., 2008. "Dominant shareholders, corporate boards, and corporate value: A cross-country analysis," Journal of Financial Economics, Elsevier, vol. 87(1), pages 73-100, January.
    23. Tokito, Shohei & Kagawa, Shigemi & Nansai, Keisuke, 2016. "Understanding international trade network complexity of platinum: The case of Japan," Resources Policy, Elsevier, vol. 49(C), pages 415-421.
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