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Features of critical resource trade networks of lithium-ion batteries

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  • Tian, Xu
  • Geng, Yong
  • Sarkis, Joseph
  • Gao, Cuixia
  • Sun, Xin
  • Micic, Tatyana
  • Hao, Han
  • Wang, Xin

Abstract

Critical resources are key for low carbon development. International trade in critical resources is commonplace. It is important to clarify country roles within this trade network so that resource supply risk can be mitigated and low carbon industries can be supported. This study investigates global trade of typical ores and chemical compounds for lithium-ion batteries—lithium carbonate, cobalt oxide, nickel sulfate, manganese sulfate, nickel ore and manganese ore. The period 2010–2018 is selected to explore different country roles using network analysis. A competition trade model is developed to identify relationships between countries. A critical resource influence model is developed using bootstrap percolation theory to simulate impacts arising from dominant countries—those countries with rich resource endowments or mature markets. Results show that dominant countries tend to maintain close trade relationships. Trade scale is a key factor influencing each country's trade competitiveness and influence. Several policy recommendations are proposed to promote sustainable resource trade and use.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721001914
    DOI: 10.1016/j.resourpol.2021.102177
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    as
    1. Dong, Di & Gao, Xiangyun & Sun, Xiaoqi & Liu, Xueyong, 2018. "Factors affecting the formation of copper international trade community: Based on resource dependence and network theory," Resources Policy, Elsevier, vol. 57(C), pages 167-185.
    2. Wilkinson, I. F. & Mattsson, L-G & Easton, G., 2000. "International competitiveness and trade promotion policy from a network perspective," Journal of World Business, Elsevier, vol. 35(3), pages 275-299.
    3. Han Hao & Yong Geng & James E. Tate & Feiqi Liu & Kangda Chen & Xin Sun & Zongwei Liu & Fuquan Zhao, 2019. "Impact of transport electrification on critical metal sustainability with a focus on the heavy-duty segment," Nature Communications, Nature, vol. 10(1), pages 1-7, December.
    4. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    5. Maxwell, Philip, 2015. "Transparent and opaque pricing: The interesting case of lithium," Resources Policy, Elsevier, vol. 45(C), pages 92-97.
    6. 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.
    7. Hongbo Cai & Yuanyuan Song, 2016. "The state’s position in international agricultural commodity trade," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 8(3), pages 430-442, September.
    8. 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.
    9. Yong Geng & Joseph Sarkis & Raimund Bleischwitz, 2019. "How to globalize the circular economy," Nature, Nature, vol. 565(7738), pages 153-155, January.
    10. Glick, Reuven & Rose, Andrew K., 1999. "Contagion and trade: Why are currency crises regional?," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 603-617, August.
    11. Li, Chengzheng & Xiang, Xunyong & Gu, Haiying, 2015. "Climate shocks and international trade: Evidence from China," Economics Letters, Elsevier, vol. 135(C), pages 55-57.
    12. Ballinger, Benjamin & Stringer, Martin & Schmeda-Lopez, Diego R. & Kefford, Benjamin & Parkinson, Brett & Greig, Chris & Smart, Simon, 2019. "The vulnerability of electric vehicle deployment to critical mineral supply," Applied Energy, Elsevier, vol. 255(C).
    13. Gao, Cuixia & Sun, Mei & Shen, Bo, 2015. "Features and evolution of international fossil energy trade relationships: A weighted multilayer network analysis," Applied Energy, Elsevier, vol. 156(C), pages 542-554.
    14. 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.
    15. Sturla-Zerene, Gino & Figueroa B, Eugenio & Sturla, Massimiliano, 2020. "Reducing GHG global emissions from copper refining and sea shipping of Chile's mining exports: A world win-win policy," Resources Policy, Elsevier, vol. 65(C).
    16. Jia, Xiaoliang & An, Haizhong & Sun, Xiaoqi & Huang, Xuan & Wang, Lijun, 2017. "Evolution of world crude oil market integration and diversification: A wavelet-based complex network perspective," Applied Energy, Elsevier, vol. 185(P2), pages 1788-1798.
    17. Candellero, Elisabetta & Fountoulakis, Nikolaos, 2016. "Bootstrap percolation and the geometry of complex networks," Stochastic Processes and their Applications, Elsevier, vol. 126(1), pages 234-264.
    18. Lovrić, Marko & Da Re, Riccardo & Vidale, Enrico & Pettenella, Davide & Mavsar, Robert, 2018. "Social network analysis as a tool for the analysis of international trade of wood and non-wood forest products," Forest Policy and Economics, Elsevier, vol. 86(C), pages 45-66.
    19. Abel Ortego & Alicia Valero & Antonio Valero & Eliette Restrepo, 2018. "Vehicles and Critical Raw Materials: A Sustainability Assessment Using Thermodynamic Rarity," Journal of Industrial Ecology, Yale University, vol. 22(5), pages 1005-1015, October.
    20. Guan, Qing & An, Haizhong & Gao, Xiangyun & Huang, Shupei & Li, Huajiao, 2016. "Estimating potential trade links in the international crude oil trade: A link prediction approach," Energy, Elsevier, vol. 102(C), pages 406-415.
    21. Peter Klimek & Michael Obersteiner & Stefan Thurner, 2015. "Systemic trade-risk of critical resources," Papers 1504.03508, arXiv.org.
    22. Jones, Ben & Elliott, Robert J.R. & Nguyen-Tien, Viet, 2020. "The EV revolution: The road ahead for critical raw materials demand," Applied Energy, Elsevier, vol. 280(C).
    23. Li, Yong & Yang, Jie & Song, Jian, 2017. "Design structure model and renewable energy technology for rechargeable battery towards greener and more sustainable electric vehicle," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 19-25.
    24. Simon, Bálint & Ziemann, Saskia & Weil, Marcel, 2015. "Potential metal requirement of active materials in lithium-ion battery cells of electric vehicles and its impact on reserves: Focus on Europe," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 300-310.
    25. Fan, Ying & Ren, Suting & Cai, Hongbo & Cui, Xuefeng, 2014. "The state's role and position in international trade: A complex network perspective," Economic Modelling, Elsevier, vol. 39(C), pages 71-81.
    26. Long, Ting & Pan, Huanxue & Dong, Chao & Qin, Tao & Ma, Ping, 2019. "Exploring the competitive evolution of global wood forest product trade based on complex network analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1224-1232.
    27. Hao, Han & Liu, Zongwei & Zhao, Fuquan & Geng, Yong & Sarkis, Joseph, 2017. "Material flow analysis of lithium in China," Resources Policy, Elsevier, vol. 51(C), pages 100-106.
    28. Sun, Xin & Hao, Han & Liu, Zongwei & Zhao, Fuquan, 2020. "Insights into the global flow pattern of manganese," Resources Policy, Elsevier, vol. 65(C).
    29. Kushnir, Duncan & Sandén, Björn A., 2012. "The time dimension and lithium resource constraints for electric vehicles," Resources Policy, Elsevier, vol. 37(1), pages 93-103.
    30. Chen, Guang & Kong, Rui & Wang, Yixin, 2020. "Research on the evolution of lithium trade communities based on the complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    31. Chen, B. & Li, J.S. & Wu, X.F. & Han, M.Y. & Zeng, L. & Li, Z. & Chen, G.Q., 2018. "Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis," Applied Energy, Elsevier, vol. 210(C), pages 98-107.
    32. Renaud Coulomb & Simon Dietz & Maria Godunova & Thomas Bligaard Nielsen, 2015. "Critical Minerals Today and in 2030: An Analysis for OECD Countries," OECD Environment Working Papers 91, OECD Publishing.
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