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The multiplex network structure of global cobalt industry chain

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  • Shi, Qing
  • Sun, Xiaoqi
  • Xu, Man
  • Wang, Mengjiao

Abstract

During the transition of energy system to clean energy, energy security challenges shift from crude oil to critical minerals such as cobalt. Understanding the global cobalt industry chain thus has become a new challenge in the coming era of clean energy. In this study, we construct a multiplex network model and analyze the multiplex structure features of the global cobalt industry chain, which are our main innovations. Results show that (1) trade complexity in upstream network is the lowest compared with middle-stream network and downstream network; (2) most economies only participate in one or two stages of cobalt industry chain, while a few economies participate in the whole chain and own the global influences; (3) Mainland of China, USA, Germany, United Kingdom, and Spain are the systemic importance nodes for the global cobalt industry chain. These results provide a knowledge base for future studies on the cascading failure of supply crisis in the multiplex network of the global cobalt industry chain.

Suggested Citation

  • Shi, Qing & Sun, Xiaoqi & Xu, Man & Wang, Mengjiao, 2022. "The multiplex network structure of global cobalt industry chain," Resources Policy, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000083
    DOI: 10.1016/j.resourpol.2022.102555
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    1. Aldasoro, Iñaki & Alves, Iván, 2018. "Multiplex interbank networks and systemic importance: An application to European data," Journal of Financial Stability, Elsevier, vol. 35(C), pages 17-37.
    2. Monge, Manuel & Gil-Alana, Luis A., 2019. "Automobile components: Lithium and cobalt. Evidence of persistence," Energy, Elsevier, vol. 169(C), pages 489-495.
    3. Zhao, Yiran & Gao, Xiangyun & An, Haizhong & Xi, Xian & Sun, Qingru & Jiang, Meihui, 2020. "The effect of the mined cobalt trade dependence Network's structure on trade price," Resources Policy, Elsevier, vol. 65(C).
    4. Matteo Barigozzi & Giorgio Fagiolo & Diego Garlaschelli, 2009. "Multinetwork of international trade: A commodity-specific analysis," Papers 0908.1879, arXiv.org, revised Jun 2010.
    5. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    6. Célestin Banza Lubaba Nkulu & Lidia Casas & Vincent Haufroid & Thierry De Putter & Nelly D. Saenen & Tony Kayembe-Kitenge & Paul Musa Obadia & Daniel Kyanika Wa Mukoma & Jean-Marie Lunda Ilunga & Tim , 2018. "Sustainability of artisanal mining of cobalt in DR Congo," Nature Sustainability, Nature, vol. 1(9), pages 495-504, September.
    7. Hu, Xiaoqian & Wang, Chao & Lim, Ming K. & Chen, Wei-Qiang, 2020. "Characteristics of the global copper raw materials and scrap trade systems and the policy impacts of China's import ban," Ecological Economics, Elsevier, vol. 172(C).
    8. Kyu-Min Lee & Kwang-Il Goh, 2016. "Strength of weak layers in cascading failures on multiplex networks: case of the international trade network," Papers 1603.05181, arXiv.org, revised May 2016.
    9. Li, Huajiao & Ren, Huijun & An, Haizhong & Ma, Ning & Yan, Lili, 2021. "Multiplex cross-shareholding relations in the global oil & gas industry chain based on multilayer network modeling," Energy Economics, Elsevier, vol. 95(C).
    10. Gulley, Andrew L. & McCullough, Erin A. & Shedd, Kim B., 2019. "China's domestic and foreign influence in the global cobalt supply chain," Resources Policy, Elsevier, vol. 62(C), pages 317-323.
    11. Peter Klimek & Michael Obersteiner & Stefan Thurner, 2015. "Systemic trade-risk of critical resources," Papers 1504.03508, arXiv.org.
    12. Gary A. Campbell, 2020. "The cobalt market revisited," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(1), pages 21-28, July.
    13. Zhiwei Zhang & Dayong Zhang & Fei Wu & Qiang Ji, 2021. "Systemic risk in the Chinese financial system: A copula‐based network approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2044-2063, April.
    14. Junne, Tobias & Wulff, Niklas & Breyer, Christian & Naegler, Tobias, 2020. "Critical materials in global low-carbon energy scenarios: The case for neodymium, dysprosium, lithium, and cobalt," Energy, Elsevier, vol. 211(C).
    15. Tian, Xu & Geng, Yong & Sarkis, Joseph & Gao, Cuixia & Sun, Xin & Micic, Tatyana & Hao, Han & Wang, Xin, 2021. "Features of critical resource trade networks of lithium-ion batteries," Resources Policy, Elsevier, vol. 73(C).
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