[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v76y2022ics0301420722000083.html
   My bibliography  Save this article

The multiplex network structure of global cobalt industry chain

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420722000083
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2022.102555?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kang, Xinyu & Wang, Minxi & Chen, Lu & Li, Xin, 2023. "Supply risk propagation of global copper industry chain based on multi-layer complex network," Resources Policy, Elsevier, vol. 85(PA).
    2. Xin Xu & Shupei Huang & Feng An & Ze Wang, 2022. "Changes in Air Quality during the Period of COVID-19 in China," IJERPH, MDPI, vol. 19(23), pages 1-17, December.
    3. Shi, Qing & Sun, Xiaoqi & Jiang, Yile, 2022. "Concentrated commonalities and systemic risk in China's banking system: A contagion network approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Kang, Xinyu & Wang, Minxi & Wang, Taixin & Luo, Fanjie & Lin, Jing & Li, Xin, 2022. "Trade trends and competition intensity of international copper flow based on complex network: From the perspective of industry chain," Resources Policy, Elsevier, vol. 79(C).
    5. Liu, Donghui & Gao, Xiangyun & An, Haizhong & Jia, Nanfei & Wang, Anjian, 2024. "Exploring market instability of global lithium resources based on chaotic dynamics analysis," Resources Policy, Elsevier, vol. 88(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shao, Liuguo & Kou, Wenwen & Zhang, Hua, 2022. "The evolution of the global cobalt and lithium trade pattern and the impacts of the low-cobalt technology of lithium batteries based on multiplex network," Resources Policy, Elsevier, vol. 76(C).
    2. Kang, Xinyu & Wang, Minxi & Chen, Lu & Li, Xin, 2023. "Supply risk propagation of global copper industry chain based on multi-layer complex network," Resources Policy, Elsevier, vol. 85(PA).
    3. Bartesaghi, Paolo & Clemente, Gian Paolo & Grassi, Rosanna & Luu, Duc Thi, 2022. "The multilayer architecture of the global input-output network and its properties," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 304-341.
    4. Liu, Haiping & Li, Huajiao & Qi, Yajie & An, Pengli & Shi, Jianglan & Liu, Yanxin, 2021. "Identification of high-risk agents and relationships in nickel, cobalt, and lithium trade based on resource-dependent networks," Resources Policy, Elsevier, vol. 74(C).
    5. Yu, Yu & Ma, Daipeng & Zhu, Weiwei, 2023. "Resilience assessment of international cobalt trade network," Resources Policy, Elsevier, vol. 83(C).
    6. Liu, Wei & Li, Xin & Liu, Chunyan & Wang, Minxi & Liu, Litao, 2023. "Resilience assessment of the cobalt supply chain in China under the impact of electric vehicles and geopolitical supply risks," Resources Policy, Elsevier, vol. 80(C).
    7. Hu, Xiaoqian & Wang, Chao & Lim, Ming K. & Chen, Wei-Qiang & Teng, Limin & Wang, Peng & Wang, Heming & Zhang, Chao & Yao, Cuiyou & Ghadimi, Pezhman, 2023. "Critical systemic risk sources in global lithium-ion battery supply networks: Static and dynamic network perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    8. 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).
    9. Luu, Duc Thi & Lux, Thomas, 2018. "Multilayer overlaps and correlations in the bank-firm credit network of Spain," Economics Working Papers 2018-04, Christian-Albrechts-University of Kiel, Department of Economics.
    10. Khomami, Mohammad Mehdi Daliri & Meybodi, Mohammad Reza & Rezvanian, Alireza, 2024. "Exploring social networks through stochastic multilayer graph modeling," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
    11. Yang, Jingluan & Chen, Wei, 2023. "Unravelling the landscape of global cobalt trade: Patterns, robustness, and supply chain security," Resources Policy, Elsevier, vol. 86(PB).
    12. Elosegui, Pedro & Forte, Federico D. & Montes-Rojas, Gabriel, 2022. "Network structure and fragmentation of the Argentinean interbank markets," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 3(3).
    13. Hao, Hongchang & Ma, Zhe & Wang, Anjian & Xing, Wanli & Song, Hao & Zhao, Pei & Wei, Jiangqiao & Zheng, Shuxian, 2023. "Modeling and assessing the robustness of the lithium global trade system against cascading failures," Resources Policy, Elsevier, vol. 85(PB).
    14. Wang, Gang-Jin & Chen, Yang-Yang & Si, Hui-Bin & Xie, Chi & Chevallier, Julien, 2021. "Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 325-347.
    15. 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.
    16. Marnix Van Soom & Milan Van Den Heuvel & Jan Ryckebusch & Koen Schoors, 2019. "Loan Maturity Aggregation In Interbank Lending Networks Obscures Mesoscale Structure And Economic Functions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/952, Ghent University, Faculty of Economics and Business Administration.
    17. Ma, Yu & Wang, Minxi & Li, Xin, 2022. "Analysis of the characteristics and stability of the global complex nickel ore trade network," Resources Policy, Elsevier, vol. 79(C).
    18. Siklos, Pierre L. & Stefan, Martin, 2021. "Exchange rate shocks in multicurrency interbank markets," Journal of Financial Stability, Elsevier, vol. 55(C).
    19. Magnus Ericsson & Anton Löf & Olof Löf & Daniel B. Müller, 2024. "Cobalt: corporate concentration 1975–2018," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(2), pages 297-311, June.
    20. Yan, Chun & Ding, Yi & Liu, Wei & Liu, Xinhong & Liu, Jiahui, 2023. "Multilayer interbank networks and systemic risk propagation: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000083. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.