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A study on the transmission of trade behavior of global nickel products from the perspective of the industrial chain

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  • Zhou, Xuanru
  • Zhang, Hua
  • Zheng, Shuxian
  • Xing, Wanli
  • Yang, Hanshi
  • Zhao, Yifan

Abstract

Critical Mineral is the important material basis for achieving carbon neutrality. Under a low-carbon scenario, the demand for nickel in the new energy will grow rapidly, which may lead to supply shortages. Under the Russia-Ukraine conflict, the nickel trade changes frequently and the trade will become more complicated. To clarify the risk transmission mechanism, based on the nickel products trade data of UN COMTRADE, this paper combines econometrics and complex network methods to construct the Global Nickel Industry Chain Trade Behavior Transmission Network (GNICTBTN). The research shows that the Main Transmission System of the GNICTBTN includes 18 countries and 25 trade links, of which 6 trade links need to be paid attention to in the middle and early stages of trade changes, and it indicates that nickel resource is at risk of being monopolized by middlemen. This study distinguishes the industrial chain structure of seven key countries, and finds that the relevance of trade links is closely related to trading transmission risk. According to GNICTBTN, we predict that the Russia-Ukraine conflict will affect the developing countries in the Asia-Pacific region and developed countries in Europe and USA in short term, and repeatedly affects the main transmission system for longer.

Suggested Citation

  • Zhou, Xuanru & Zhang, Hua & Zheng, Shuxian & Xing, Wanli & Yang, Hanshi & Zhao, Yifan, 2023. "A study on the transmission of trade behavior of global nickel products from the perspective of the industrial chain," Resources Policy, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:jrpoli:v:81:y:2023:i:c:s0301420723000843
    DOI: 10.1016/j.resourpol.2023.103376
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    1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. 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).
    3. Guo, Sui & Li, Huajiao & An, Haizhong & Sun, Qingru & Hao, Xiaoqing & Liu, Yanxin, 2019. "Steel product prices transmission activities in the midstream industrial chain and global markets," Resources Policy, Elsevier, vol. 60(C), pages 56-71.
    4. Výrost, Tomáš & Lyócsa, Štefan & Baumöhl, Eduard, 2015. "Granger causality stock market networks: Temporal proximity and preferential attachment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 262-276.
    5. Kyu-Min Lee & Jae-Suk Yang & Gunn Kim & Jaesung Lee & Kwang-Il Goh & In-mook Kim, 2011. "Impact of the Topology of Global Macroeconomic Network on the Spreading of Economic Crises," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-11, March.
    6. Wang, Xingxing & Wang, Anjian & Zhong, Weiqiong & Zhu, Depeng & Wang, Chunhui, 2022. "Analysis of international nickel flow based on the industrial chain," Resources Policy, Elsevier, vol. 77(C).
    7. Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, vol. 63(1), pages 7-36, July.
    8. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    9. Zheng, Shuxian & Zhou, Xuanru & Zhao, Pei & Xing, Wanli & Han, Yawen & Hao, Hongchang & Luo, Wenbo, 2022. "Impact of countries’ role on trade prices from a nickel chain perspective: Based on complex network and panel regression analysis," Resources Policy, Elsevier, vol. 78(C).
    10. Brown, Teresa, 2018. "Measurement of mineral supply diversity and its importance in assessing risk and criticality," Resources Policy, Elsevier, vol. 58(C), pages 202-218.
    11. Chen, Zhihua & An, Haizhong & An, Feng & Guan, Qing & Hao, Xiaoqing, 2018. "Structural risk evaluation of global gas trade by a network-based dynamics simulation model," Energy, Elsevier, vol. 159(C), pages 457-471.
    12. Humaira Yasmeen & Qingmei Tan & Hashim Zameer & Junlan Tan & Kishwar Nawaz, 2020. "Exploring the impact of technological innovation, environmental regulations and urbanization on ecological efficiency of China in the context of COP21," Post-Print hal-03558085, HAL.
    13. Galos, Krzysztof & Lewicka, Ewa & Burkowicz, Anna & Guzik, Katarzyna & Kot-Niewiadomska, Alicja & Kamyk, Jarosław & Szlugaj, Jarosław, 2021. "Approach to identification and classification of the key, strategic and critical minerals important for the mineral security of Poland," Resources Policy, Elsevier, vol. 70(C).
    14. 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.
    15. Papana, Angeliki & Kyrtsou, Catherine & Kugiumtzis, Dimitris & Diks, Cees, 2017. "Financial networks based on Granger causality: A case study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 65-73.
    16. Wang, Xingxing & Li, Huajiao & Zhu, Depeng & Zhong, Weiqiong & Xing, Wanli & Wang, Anjian, 2021. "Research on global natural graphite trade risk countermeasures based on the maximum entropy principle," Resources Policy, Elsevier, vol. 74(C).
    17. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    18. Sun, Qingru & Gao, Xiangyun & Wen, Shaobo & Chen, Zhihua & Hao, Xiaoqing, 2018. "The transmission of fluctuation among price indices based on Granger causality network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 36-49.
    19. Qingru Sun & Xiangyun Gao & Ze Wang & Siyao Liu & Sui Guo & Yang Li, 2020. "Quantifying the risk of price fluctuations based on weighted Granger causality networks of consumer price indices: evidence from G7 countries," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(4), pages 821-844, October.
    20. Kyu-Min Lee & Jae-Suk Yang & Gunn Kim & Jaesung Lee & Kwang-Il Goh & In-mook Kim, 2010. "Impact of the topology of global macroeconomic network on the spreading of economic crises," Papers 1011.4336, arXiv.org, revised Apr 2011.
    21. Wang, Xingxing & Li, Huajiao & Yao, Huajun & Zhu, Depeng & Liu, Nairong, 2018. "Simulation analysis of the spread of a supply crisis based on the global natural graphite trade network," Resources Policy, Elsevier, vol. 59(C), pages 200-209.
    22. Huang, Jianbai & Ding, Qian & Wang, Ying & Hong, Huojun & Zhang, Hongwei, 2021. "The evolution and influencing factors of international tungsten competition from the industrial chain perspective," Resources Policy, Elsevier, vol. 73(C).
    23. Ata Akcil & Zhi Sun & Sandeep Panda, 2020. "COVID-19 disruptions to tech-metals supply are a wake-up call," Nature, Nature, vol. 587(7834), pages 365-367, November.
    24. Elshkaki, Ayman & Reck, Barbara K. & Graedel, T.E., 2017. "Anthropogenic nickel supply, demand, and associated energy and water use," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 300-307.
    25. Hayes, Sarah M. & McCullough, Erin A., 2018. "Critical minerals: A review of elemental trends in comprehensive criticality studies," Resources Policy, Elsevier, vol. 59(C), pages 192-199.
    26. Qiaoran Yang & Zhiliang Dong & Yichi Zhang & Man Li & Ziyi Liang & Chao Ding, 2021. "Who Will Establish New Trade Relations? Looking for Potential Relationship in International Nickel Trade," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    27. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
    28. Dong, Xiaojuan & An, Feng & Dong, Zhiliang & Wang, Ze & Jiang, Meihui & Yang, Ping & An, Haigang, 2021. "Optimization of the international nickel ore trade network," Resources Policy, Elsevier, vol. 70(C).
    29. Newton, John, 2016. "Price Transmission in Global Dairy Markets," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(B), pages 1-15, August.
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