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The midstream amplifier: Risk spillovers in China's lithium supply chain from mining to batteries

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  • Yang, Lanyong
  • Zhu, Yongguang
  • Li, Junhui
  • Dou, Shiquan
  • Liu, Gang
  • Xu, Deyi

Abstract

The global energy transition has significantly increased the demand for lithium resources, raising market concerns about the stability of the global lithium supply chain. Understanding the relationships among different commodities within this supply chain is crucial for managing associated risks. In this study, we apply a time-varying parameter vector autoregression model to investigate the spillover effects and dynamic dependency of price volatility across the lithium supply chain. Our results reveal a high degree of systemic risk among lithium supply chains. Specifically, the risk spillover from the midstream segment to the upstream segment is the strongest and increasing, while the risk spillover to the downstream segment is the weakest and showing a downward trend. Additionally, the midstream serves as the primary net transmitter of price shocks, whereas the upstream and downstream segments more often act as net receivers. We identify two main pathways for the spillover of price shocks: one from the midstream to the upstream and then to the downstream, and another directly from the midstream to the downstream. These findings are important for mitigating the accumulation of risks within the lithium supply chain.

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  • Yang, Lanyong & Zhu, Yongguang & Li, Junhui & Dou, Shiquan & Liu, Gang & Xu, Deyi, 2025. "The midstream amplifier: Risk spillovers in China's lithium supply chain from mining to batteries," Journal of Commodity Markets, Elsevier, vol. 38(C).
    • Handle: RePEc:eee:jocoma:v:38:y:2025:i:c:s2405851325000157
    DOI: 10.1016/j.jcomm.2025.100471
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    1. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    2. Hao, Hongchang & Xing, Wanli & Wang, Anjian & Song, Hao & Han, Yawen & Zhao, Pei & Xie, Ziqi & Chen, Xuemei, 2022. "Multi-layer networks research on analyzing supply risk transmission of lithium industry chain," Resources Policy, Elsevier, vol. 79(C).
    3. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    4. Benjamin Jones & Viet Nguyen‐Tien & Robert J. R. Elliott, 2023. "The electric vehicle revolution: Critical material supply chains, trade and development," The World Economy, Wiley Blackwell, vol. 46(1), pages 2-26, January.
    5. Restrepo, Natalia & Ceballos, Juan Camilo & Uribe, Jorge M., 2023. "Risk spillovers of critical metals firms," Resources Policy, Elsevier, vol. 86(PB).
    6. Akyildirim, Erdinc & Cepni, Oguzhan & Molnár, Peter & Uddin, Gazi Salah, 2022. "Connectedness of energy markets around the world during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 109(C).
    7. Hailes, Oliver, 2022. "Lithium in international law: trade, investment, and the pursuit of supply chain justice," LSE Research Online Documents on Economics 123519, London School of Economics and Political Science, LSE Library.
    8. Ersahin, Nuri & Giannetti, Mariassunta & Huang, Ruidi, 2024. "Supply chain risk: Changes in supplier composition and vertical integration," Journal of International Economics, Elsevier, vol. 147(C).
    9. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    10. Muzzammil Wasim Syed & Ji Zu Li & Muhammad Junaid & Xue Ye & Muhammad Ziaullah, 2019. "An Empirical Examination of Sustainable Supply Chain Risk and Integration Practices: A Performance-Based Evidence from Pakistan," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    11. Liu, Jian & Zhong, Caifu, 2019. "An economic evaluation of the coordination between electric vehicle storage and distributed renewable energy," Energy, Elsevier, vol. 186(C).
    12. Sterba, Jiri & Krzemień, Alicja & Riesgo Fernández, Pedro & Escanciano García-Miranda, Carmen & Fidalgo Valverde, Gregorio, 2019. "Lithium mining: Accelerating the transition to sustainable energy," Resources Policy, Elsevier, vol. 62(C), pages 416-426.
    13. Maxwell, Philip, 2015. "Transparent and opaque pricing: The interesting case of lithium," Resources Policy, Elsevier, vol. 45(C), pages 92-97.
    14. Marcel Prokopczuk & Chardin Wese Simen & Robert Wichmann, 2021. "The dynamics of commodity return comovements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1597-1617, October.
    15. Wang, Xiao-Qing & Qin, Meng & Moldovan, Nicoleta-Claudia & Su, Chi-Wei, 2023. "Bubble behaviors in lithium price and the contagion effect: An industry chain perspective," Resources Policy, Elsevier, vol. 83(C).
    16. Zhang, Dayong & Broadstock, David C., 2020. "Global financial crisis and rising connectedness in the international commodity markets," International Review of Financial Analysis, Elsevier, vol. 68(C).
    17. Khalfaoui, Rabeh & Baumöhl, Eduard & Sarwar, Suleman & Výrost, Tomáš, 2021. "Connectedness between energy and nonenergy commodity markets: Evidence from quantile coherency networks," Resources Policy, Elsevier, vol. 74(C).
    18. Baele, Lieven, 2005. "Volatility Spillover Effects in European Equity Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 40(2), pages 373-401, June.
    19. Pham, Linh & Kamal, Javed Bin, 2024. "Blessings or curse: How do media climate change concerns affect commodity tail risk spillovers?," Journal of Commodity Markets, Elsevier, vol. 34(C).
    20. Wang, Yunshi & Sperling, Daniel & Tal, Gil & Fang, Haifeng, 2017. "China's electric car surge," Energy Policy, Elsevier, vol. 102(C), pages 486-490.
    21. Oliver Hailes, 2022. "Lithium in International Law: Trade, Investment, and the Pursuit of Supply Chain Justice," Journal of International Economic Law, Oxford University Press, vol. 25(1), pages 148-170.
    22. Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.
    23. Shi, Yangyan & Feng, Yu & Zhang, Qi & Shuai, Jing & Niu, Jiangxin, 2023. "Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries," Energy, Elsevier, vol. 262(PA).
    24. Bolandifar, Ehsan & Chen, Zhong, 2020. "Hedging through index-based price contracts in commodity-based supply chains," Omega, Elsevier, vol. 90(C).
    25. Fritzsch, Simon & Timphus, Maike & Weiß, Gregor, 2024. "Marginals versus copulas: Which account for more model risk in multivariate risk forecasting?," Journal of Banking & Finance, Elsevier, vol. 158(C).
    26. Yoon, Seong-Min & Al Mamun, Md & Uddin, Gazi Salah & Kang, Sang Hoon, 2019. "Network connectedness and net spillover between financial and commodity markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 801-818.
    27. Guo, Xueyi & Zhang, Jingxi & Tian, Qinghua, 2021. "Modeling the potential impact of future lithium recycling on lithium demand in China: A dynamic SFA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    28. Costola, Michele & Lorusso, Marco, 2022. "Spillovers among energy commodities and the Russian stock market," Journal of Commodity Markets, Elsevier, vol. 28(C).
    29. Gavin Harper & Roberto Sommerville & Emma Kendrick & Laura Driscoll & Peter Slater & Rustam Stolkin & Allan Walton & Paul Christensen & Oliver Heidrich & Simon Lambert & Andrew Abbott & Karl Ryder & L, 2019. "Recycling lithium-ion batteries from electric vehicles," Nature, Nature, vol. 575(7781), pages 75-86, November.
    30. Song, Huiling & Wang, Chang & Lei, Xiaojie & Zhang, Hongwei, 2022. "Dynamic dependence between main-byproduct metals and the role of clean energy market," Energy Economics, Elsevier, vol. 108(C).
    31. Peter Greim & A. A. Solomon & Christian Breyer, 2020. "Assessment of lithium criticality in the global energy transition and addressing policy gaps in transportation," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    32. Naeem, Muhammad Abubakr & Hamouda, Foued & Karim, Sitara, 2024. "Tail risk spillover effects in commodity markets: A comparative study of crisis periods," Journal of Commodity Markets, Elsevier, vol. 33(C).
    33. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    34. Dahl, Roy Endré & Oglend, Atle & Yahya, Muhammad, 2020. "Dynamics of volatility spillover in commodity markets: Linking crude oil to agriculture," Journal of Commodity Markets, Elsevier, vol. 20(C).
    35. 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).
    36. Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
    37. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2020. "How connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics," Energy Economics, Elsevier, vol. 90(C).
    38. Huo, Liang’an & Guo, Hongyuan & Cheng, Yingying, 2019. "Supply chain risk propagation model considering the herd mentality mechanism and risk preference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 529(C).
    39. Zihui Yang & Qingchun Meng & Zheng Fang & Xiaona Zhang, 2024. "Supply Chain Elastic Strain," Mathematics, MDPI, vol. 12(12), pages 1-15, June.
    40. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    41. Wang, Jiajia & Yue, Xiyan & Wang, Peifen & Yu, Tao & Du, Xiao & Hao, Xiaogang & Abudula, Abuliti & Guan, Guoqing, 2022. "Electrochemical technologies for lithium recovery from liquid resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    42. Algieri, Bernardina & Leccadito, Arturo, 2017. "Assessing contagion risk from energy and non-energy commodity markets," Energy Economics, Elsevier, vol. 62(C), pages 312-322.
    43. Sirish Kumar Gouda & Haritha Saranga, 2018. "Sustainable supply chains for supply chain sustainability: impact of sustainability efforts on supply chain risk," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5820-5835, September.
    44. Ren, Xiaohang & Xiao, Ya & Duan, Kun & Urquhart, Andrew, 2025. "Corrigendum to “Spillover effects between fossil energy and green markets: Evidence from informational inefficiency” [Energy EconomicsVolume 131, March 2024, 107317]," Energy Economics, Elsevier, vol. 143(C).
    45. Kang, Sang Hoon & Lee, Jang Woo, 2019. "The network connectedness of volatility spillovers across global futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 526(C).
    46. Cao, Guangxi & Xie, Wenhao, 2022. "Asymmetric dynamic spillover effect between cryptocurrency and China's financial market: Evidence from TVP-VAR based connectedness approach," Finance Research Letters, Elsevier, vol. 49(C).
    47. Wang, Hongwei & Zheng, Shilin & Zhang, Yanhua & Zhang, Kai, 2016. "Analysis of the policy effects of downstream Feed-In Tariff on China’s solar photovoltaic industry," Energy Policy, Elsevier, vol. 95(C), pages 479-488.
    48. Khan, Khalid & Su, Chi-Wei & Zhu, Meng Nan, 2022. "Examining the behaviour of energy prices to COVID-19 uncertainty: A quantile on quantile approach," Energy, Elsevier, vol. 239(PE).
    49. Awartani, Basel & Aktham, Maghyereh & Cherif, Guermat, 2016. "The connectedness between crude oil and financial markets: Evidence from implied volatility indices," Journal of Commodity Markets, Elsevier, vol. 4(1), pages 56-69.
    50. Li, Baihua & Li, Huajiao & Ren, Shuai & Liu, Haiping & Wang, Gang, 2023. "Commodity supply risk assessment of China's copper industrial chain: The perspective of trade network," Resources Policy, Elsevier, vol. 81(C).
    51. Kamil J. Mizgier, 2017. "Global sensitivity analysis and aggregation of risk in multi-product supply chain networks," International Journal of Production Research, Taylor & Francis Journals, vol. 55(1), pages 130-144, January.
    52. Helmi, Mohamad Husam & Çatık, Abdurrahman Nazif & Akdeniz, Coşkun, 2023. "The impact of central bank digital currency news on the stock and cryptocurrency markets: Evidence from the TVP-VAR model," Research in International Business and Finance, Elsevier, vol. 65(C).
    53. Barbaglia, Luca & Croux, Christophe & Wilms, Ines, 2020. "Volatility spillovers in commodity markets: A large t-vector autoregressive approach," Energy Economics, Elsevier, vol. 85(C).
    54. Sheridan Titman, 2021. "Risk Transmission Across Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4579-4587, December.
    55. Pradeep Kumar Jain, 2021. "Impact of lockdown on the mining industry in India," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(2), pages 331-335, July.
    56. Chia-Chun Hsieh & Shieh-Liang Chen & Chun-Chen Huang, 2023. "Investigating the Role of Supply Chain Environmental Risk in Shaping the Nexus of Supply Chain Agility, Resilience, and Performance," Sustainability, MDPI, vol. 15(20), pages 1-16, October.
    57. James T. Frith & Matthew J. Lacey & Ulderico Ulissi, 2023. "A non-academic perspective on the future of lithium-based batteries," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    58. Maghyereh, Aktham I. & Awartani, Basel & Bouri, Elie, 2016. "The directional volatility connectedness between crude oil and equity markets: New evidence from implied volatility indexes," Energy Economics, Elsevier, vol. 57(C), pages 78-93.
    59. Liu, Wan-Yu & Chiang, Yi-Hua & Lin, Chun-Cheng, 2022. "Adopting renewable energies to meet the carbon reduction target: Is forest carbon sequestration cheaper?," Energy, Elsevier, vol. 246(C).
    60. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Agricultural commodity markets and oil prices: An analysis of the dynamic return and volatility connectedness," Resources Policy, Elsevier, vol. 73(C).
    61. Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
    62. Luo, Jiawen & Ji, Qiang, 2018. "High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets," Energy Economics, Elsevier, vol. 76(C), pages 424-438.
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