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Supply shock propagation in the multi-layer network of global steel product chain: Additive effect of trade and production

Author

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  • Hao, Xiaoqing
  • An, Haizhong
  • Jiang, Meihui
  • Sun, Xiaoqi

Abstract

The key to resource security is to make sure supply safety. Due to the difference of resource endowment, however, the distribution of global production and consumption is not matched, so that the supply shock can spread within the multi-layer formed by global supply chains. Therefore, understanding how supply shock spreads within the multi-layer network is critical for policy makers to prevent the propagation of resources crisis. From the perspective of global steel product chain, we constructed a supply shock propagation model based on a multi-layer network and simulated the propagation effect using the steel chain trading data. Results show that: (1) No matter how large the impact strength, only a few countries such as Russia, Ukraine, Brazil and Australia, once the supply shortage of steel upstream products occurs, can affect the downstream products of most countries in the world. (2) If the country's risk resistance is extremely weak, the supply shock propagation in the pig iron network is dominated by trade relations, while crude steel network is dominated by production relations, and steel product network is dominated by the coupling relationship between trade and production. (3) Faced with the risk of complete interruption of exports from different risk sources, the critical points of infection thresholds in importing countries are different. (4) The propagation path of supply risk in the multi-layer network of steel trade presents a multiple hub radial network structure with key countries as the core. These findings help policy makers adjust trade policies in a timely and scientific manner.

Suggested Citation

  • Hao, Xiaoqing & An, Haizhong & Jiang, Meihui & Sun, Xiaoqi, 2024. "Supply shock propagation in the multi-layer network of global steel product chain: Additive effect of trade and production," Resources Policy, Elsevier, vol. 89(C).
    • Handle: RePEc:eee:jrpoli:v:89:y:2024:i:c:s0301420724000229
    DOI: 10.1016/j.resourpol.2024.104655
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    References listed on IDEAS

    as
    1. Giorgio Fagiolo & Javier Reyes & Stefano Schiavo, 2010. "The evolution of the world trade web: a weighted-network analysis," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 479-514, August.
    2. Yamamoto, Shugo, 2014. "Transmission of US financial and trade shocks to Asian economies: Implications for spillover of the 2007–2009 US financial crisis," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 88-103.
    3. 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).
    4. Guertler, Benjamin & Spinler, Stefan, 2015. "Supply risk interrelationships and the derivation of key supply risk indicators," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 224-236.
    5. Duncan J. Watts & Steven H. Strogatz, 1998. "Collective dynamics of ‘small-world’ networks," Nature, Nature, vol. 393(6684), pages 440-442, June.
    6. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    7. Martha G. Alatriste Contreras & Giorgio Fagiolo, 2014. "Propagation of economic shocks in input-output networks: A cross-country analysis," Post-Print hal-01474258, HAL.
    8. Zhang, Lin & Wen, Huiying & Lu, Jian & Lei, Da & Li, Shubin & Ukkusuri, Satish V., 2022. "Exploring cascading reliability of multi-modal public transit network based on complex networks," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    9. Bouwmeester, Maaike C. & Oosterhaven, J., 2017. "Economic impacts of natural gas flow disruptions between Russia and the EU," Energy Policy, Elsevier, vol. 106(C), pages 288-297.
    10. 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).
    11. Peter Klimek & Michael Obersteiner & Stefan Thurner, 2015. "Systemic trade-risk of critical resources," Papers 1504.03508, arXiv.org.
    12. Garvey, Myles D. & Carnovale, Steven & Yeniyurt, Sengun, 2015. "An analytical framework for supply network risk propagation: A Bayesian network approach," European Journal of Operational Research, Elsevier, vol. 243(2), pages 618-627.
    13. 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).
    14. Kornkarun Cheewatrakoolpong & Somprawin Manprasert, 2014. "Trade Linkages and Crisis Spillovers," Asian Economic Papers, MIT Press, vol. 13(1), pages 84-103, Winter.
    15. Barigozzi, Matteo & Fagiolo, Giorgio & Mangioni, Giuseppe, 2011. "Identifying the community structure of the international-trade multi-network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2051-2066.
    16. 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.
    17. Alexander Cimprich & Vanessa Bach & Christoph Helbig & Andrea Thorenz & Dieuwertje Schrijvers & Guido Sonnemann & Steven B. Young & Thomas Sonderegger & Markus Berger, 2019. "Raw material criticality assessment as a complement to environmental life cycle assessment: Examining methods for product‐level supply risk assessment," Journal of Industrial Ecology, Yale University, vol. 23(5), pages 1226-1236, October.
    18. Aled W. Jones & Alexander Phillips, 2016. "Historic Food Production Shocks: Quantifying the Extremes," Sustainability, MDPI, vol. 8(5), pages 1-10, April.
    19. 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.
    20. Li, Baihua & Li, Huajiao & Dong, Zhiliang & Lu, Yu & Liu, Nairong & Hao, Xiaoqing, 2021. "The global copper material trade network and risk evaluation: A industry chain perspective," Resources Policy, Elsevier, vol. 74(C).
    21. Keisuke Nansai & Kenichi Nakajima & Sangwon Suh & Shigemi Kagawa & Yasushi Kondo & Wataru Takayanagi & Yosuke Shigetomi, 2017. "The role of primary processing in the supply risks of critical metals," Economic Systems Research, Taylor & Francis Journals, vol. 29(3), pages 335-356, July.
    22. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
    23. Tiziano Distefano & Francesco Laio & Luca Ridolfi & Stefano Schiavo, 2018. "Shock transmission in the International Food Trade Network," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-15, August.
    24. Destek, Mehmet Akif, 2016. "Natural gas consumption and economic growth: Panel evidence from OECD countries," Energy, Elsevier, vol. 114(C), pages 1007-1015.
    25. Ruble, Isabella, 2017. "European Union energy supply security: The benefits of natural gas imports from the Eastern Mediterranean," Energy Policy, Elsevier, vol. 105(C), pages 341-353.
    26. 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).
    27. Hao, Xiaoqing & An, Haizhong, 2022. "Comparative study on transmission mechanism of supply shortage risk in the international trade of iron ore, pig iron and crude steel," Resources Policy, Elsevier, vol. 79(C).
    28. E. Gutiérrez-Moya & B. Adenso-Díaz & S. Lozano, 2021. "Analysis and vulnerability of the international wheat trade network," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(1), pages 113-128, February.
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