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Comparative study on transmission mechanism of supply shortage risk in the international trade of iron ore, pig iron and crude steel

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  • Hao, Xiaoqing
  • An, Haizhong

Abstract

Steel is a basic industrial raw material, and it has a wide range of applications in all areas of production and life in the society. Countries carry out international steel trade to ensure their economic development. Applying complex network theory, this paper constructs the steel international trade multiplex network. Based on complex network cascade failure, this paper constructed supply risk transmission model in the international steel trade multiplex network to study the supply risk transmission mechanism. The results show that as the supply shock increasing, countries affected by the supply shortage risk are gradually increasing. The key transmission sources are Russia, Australia, Brazil and other countries. The supply shortage risk transmission route starts from one source, after pass through several intermediary countries, spreading to the entire iron ore, pig iron and crude steel international trade network, showing a multi-core radiation network structure. In the process of transmission, small associations are formed due to the close cooperation. Thus, it is very significant to study the supply risk transmission mechanism in the international steel trade multiplex network, so that it can make recommendations for governments to formulate international trade and industrial adjustment policies of steel industry from a more macro perspective.

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  • 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).
    • Handle: RePEc:eee:jrpoli:v:79:y:2022:i:c:s0301420722004652
    DOI: 10.1016/j.resourpol.2022.103022
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    1. Isabella Cingolani & Carlo Piccardi & Lucia Tajoli, 2015. "Discovering Preferential Patterns in Sectoral Trade Networks," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-16, October.
    2. 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.
    3. Marchand, Philippe & Carr, Joel A & Dell’Angelo, Jampel & Fader, Marianela & Gephart, Jessica A & Kummu, Matti & Magliocca, Nicholas R & Porkka, Miina & Puma, Michael J & Ratajczak, Zak & Rulli, Maria, 2016. "Reserves and trade jointly determine exposure to food supply shocks," LSE Research Online Documents on Economics 67783, London School of Economics and Political Science, LSE Library.
    4. 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.
    5. Raja Kali & Javier Reyes, 2010. "Financial Contagion On The International Trade Network," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 1072-1101, October.
    6. 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.
    7. Shaffer, Brenda, 2013. "Natural gas supply stability and foreign policy," Energy Policy, Elsevier, vol. 56(C), pages 114-125.
    8. Esmaeilpour Moghadam, Hadi & Mohammadi, Teymour & Feghhi Kashani, Mohammad & Shakeri, Abbas, 2019. "Complex networks analysis in Iran stock market: The application of centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    9. Long Zhang & Wuliyasu Bai, 2020. "Risk Assessment of China’s Natural Gas Importation: A Supply Chain Perspective," SAGE Open, , vol. 10(3), pages 21582440209, July.
    10. An, Haizhong & Zhong, Weiqiong & Chen, Yurong & Li, Huajiao & Gao, Xiangyun, 2014. "Features and evolution of international crude oil trade relationships: A trading-based network analysis," Energy, Elsevier, vol. 74(C), pages 254-259.
    11. Zongning Wu & Hongbo Cai & Ruining Zhao & Ying Fan & Zengru Di & Jiang Zhang, 2020. "A Topological Analysis of Trade Distance: Evidence from the Gravity Model and Complex Flow Networks," Sustainability, MDPI, vol. 12(9), pages 1-17, April.
    12. Lili Wang & Xianwen Wang & Niels J. Philipsen, 2017. "Network structure of scientific collaborations between China and the EU member states," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 765-781, November.
    13. Ren, Shuai & Li, Huajiao & Wang, Yanli & Guo, Chen & Feng, Sida & Wang, Xingxing, 2021. "Comparative study of the China and U.S. import trade structure based on the global chromium ore trade network," Resources Policy, Elsevier, vol. 73(C).
    Full references (including those not matched with items on IDEAS)

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