IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v81y2023ics0301420723000053.html
   My bibliography  Save this article

Commodity supply risk assessment of China's copper industrial chain: The perspective of trade network

Author

Listed:
  • Li, Baihua
  • Li, Huajiao
  • Ren, Shuai
  • Liu, Haiping
  • Wang, Gang

Abstract

With the rapid development of China's new energy industry, the consumption demand for copper resources is increasing. As a key raw material, copper resources are becoming increasingly important. Taking the demand for copper commodities in China's new energy development as the research background and the international trade environment and pattern of copper supply as the research perspective, this paper makes an overall assessment of the commodity supply risk of China's copper industrial chain from 2010 to 2021 using the complex network and the newly established three-dimensional risk assessment model and finally reaches the following conclusions. The supply risk of commodities in China's copper industrial chain has been rising continuously since 2019 after experiencing fluctuating development in the early stage and a continuous decline in recent years, and there may be a trend of continuing to rise. The supply risk of China's copper industrial chain was gradually reduced from upstream to midstream and downstream, and the supply risk of copper smelting was more severe. The disruption potential risk of China's copper industrial chain was relatively low, and the international import market structure of copper commodities was relatively reasonable. The supply risk characteristics of each link in China's copper industrial chain were different. Due to the influence of import dependence, the copper mining industry had a high risk of trade exposure. However, the smelting and copper processing industries had certain limitations in production management, operation management and technology research and development, and their ability to withstand risks was weak. In addition, the impact of the domestic COVID-19 epidemic ha caused a high industrial chain vulnerability risk.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:jrpoli:v:81:y:2023:i:c:s0301420723000053
    DOI: 10.1016/j.resourpol.2023.103297
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723000053
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2023.103297?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. T. E. Graedel & Barbara K. Reck, 2016. "Six Years of Criticality Assessments: What Have We Learned So Far?," Journal of Industrial Ecology, Yale University, vol. 20(4), pages 692-699, August.
    2. Feng, Sida & Li, Huajiao & Qi, Yabin & Guan, Qing & Wen, Shaobo, 2017. "Who will build new trade relations? Finding potential relations in international liquefied natural gas trade," Energy, Elsevier, vol. 141(C), pages 1226-1238.
    3. 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.
    4. 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).
    5. 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.
    6. Wang, Xingxing & Li, Huajiao & Yao, Huajun & Chen, Zhihua & Guan, Qing, 2019. "Network feature and influence factors of global nature graphite trade competition," Resources Policy, Elsevier, vol. 60(C), pages 153-161.
    7. 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.
    8. Rosenau-Tornow, Dirk & Buchholz, Peter & Riemann, Axel & Wagner, Markus, 2009. "Assessing the long-term supply risks for mineral raw materials--a combined evaluation of past and future trends," Resources Policy, Elsevier, vol. 34(4), pages 161-175, December.
    9. Jasiński, Dominik & Cinelli, Marco & Dias, Luis C. & Meredith, James & Kirwan, Kerry, 2018. "Assessing supply risks for non-fossil mineral resources via multi-criteria decision analysis," Resources Policy, Elsevier, vol. 58(C), pages 150-158.
    10. Schnebele, Emily & Jaiswal, Kishor & Luco, Nicolas & Nassar, Nedal T., 2019. "Natural hazards and mineral commodity supply: Quantifying risk of earthquake disruption to South American copper supply," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    11. Cristiana Tudor & Robert Sova, 2021. "On the Impact of GDP per Capita, Carbon Intensity and Innovation for Renewable Energy Consumption: Worldwide Evidence," Energies, MDPI, vol. 14(19), pages 1-25, October.
    12. Palm, Jenny & Thollander, Patrik, 2010. "An interdisciplinary perspective on industrial energy efficiency," Applied Energy, Elsevier, vol. 87(10), pages 3255-3261, October.
    13. Philipp Sauer & Stefan Seuring, 2017. "Sustainable supply chain management for minerals," Post-Print hal-03891233, HAL.
    14. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
    15. Hatayama, Hiroki & Tahara, Kiyotaka, 2018. "Adopting an objective approach to criticality assessment: Learning from the past," Resources Policy, Elsevier, vol. 55(C), pages 96-102.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tao Xiong & Miao Li, 2024. "A tale of two contracts: Was the SHFE copper futures market disrupted by the listing of INE bonded copper futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 281-301, February.
    2. Song, Yi & Bai, Wenbo & Zhang, Yijun, 2024. "Resilience assessment of trade network in copper industry chain and the risk resistance capacity of core countries: Based on complex network," Resources Policy, Elsevier, vol. 92(C).
    3. Zhu, Mingxue & Zhang, Hua & Xing, Wanli & Zhou, Xuanru & Wang, Lu & Sun, Haoyu, 2023. "Research on price transmission in Chinese mining stock market: Based on industry," Resources Policy, Elsevier, vol. 83(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Griffin, Gillian & Gaustad, Gabrielle & Badami, Kedar, 2019. "A framework for firm-level critical material supply management and mitigation," Resources Policy, Elsevier, vol. 60(C), pages 262-276.
    2. Yu, Shiwei & Duan, Haoran & Cheng, Jinhua, 2021. "An evaluation of the supply risk for China's strategic metallic mineral resources," Resources Policy, Elsevier, vol. 70(C).
    3. Song, Yi & Bai, Wenbo & Zhang, Yijun, 2024. "Resilience assessment of trade network in copper industry chain and the risk resistance capacity of core countries: Based on complex network," Resources Policy, Elsevier, vol. 92(C).
    4. Christoph Helbig & Martin Bruckler & Andrea Thorenz & Axel Tuma, 2021. "An Overview of Indicator Choice and Normalization in Raw Material Supply Risk Assessments," Resources, MDPI, vol. 10(8), pages 1-26, August.
    5. Kim, Juhan & Lee, Jungbae & Kim, BumChoong & Kim, Jinsoo, 2019. "Raw material criticality assessment with weighted indicators: An application of fuzzy analytic hierarchy process," Resources Policy, Elsevier, vol. 60(C), pages 225-233.
    6. Hache, Emmanuel & Seck, Gondia Sokhna & Simoen, Marine & Bonnet, Clément & Carcanague, Samuel, 2019. "Critical raw materials and transportation sector electrification: A detailed bottom-up analysis in world transport," Applied Energy, Elsevier, vol. 240(C), pages 6-25.
    7. Shule Li & Jingjing Yan & Qiuming Pei & Jinghua Sha & Siyu Mou & Yong Xiao, 2019. "Risk Identification and Evaluation of the Long-term Supply of Manganese Mines in China Based on the VW-BGR Method," Sustainability, MDPI, vol. 11(9), pages 1-23, May.
    8. 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).
    9. Kühnel, Konstantin & Schütte, Philip & Bach, Vanessa & Franken, Gudrun & Finkbeiner, Matthias, 2023. "Correlation analysis of country governance indicators and the magnitude of environmental and social incidents in mining," Resources Policy, Elsevier, vol. 85(PA).
    10. Zhu, Mingxue & Zhou, Xuanru & Zhang, Hua & Wang, Lu & Sun, Haoyu, 2023. "International trade evolution and competition prediction of boron ore: Based on complex network and link prediction," Resources Policy, Elsevier, vol. 82(C).
    11. Christine L. Thomas & Nedal T. Nassar & John H. DeYoung, 2022. "Assessing mineral supply concentration from different perspectives through a case study of zinc," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(3), pages 607-616, December.
    12. Zuo, Zhili & McLellan, Benjamin Craig & Li, Yonglin & Guo, Haixiang & Cheng, Jinhua, 2022. "Evolution and insights into the network and pattern of the rare earths trade from an industry chain perspective," Resources Policy, Elsevier, vol. 78(C).
    13. Tang, Qianyong & Li, Huajiao & Qi, Yajie & Li, Yang & Liu, Haiping & Wang, Xingxing, 2023. "The reliability of the trade dependence network in the tungsten industry chain based on percolation," Resources Policy, Elsevier, vol. 82(C).
    14. Schnebele, Emily & Jaiswal, Kishor & Luco, Nicolas & Nassar, Nedal T., 2019. "Natural hazards and mineral commodity supply: Quantifying risk of earthquake disruption to South American copper supply," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    15. Guo, Yaoqi & Zhao, Boya & Zhang, Hongwei, 2023. "The impact of the Belt and Road Initiative on the natural gas trade: A network structure dependence perspective," Energy, Elsevier, vol. 263(PD).
    16. Marie K. Schellens & Johanna Gisladottir, 2018. "Critical Natural Resources: Challenging the Current Discourse and Proposal for a Holistic Definition," Resources, MDPI, vol. 7(4), pages 1-28, December.
    17. Teixeira, Bernardo & Brito, Miguel Centeno & Mateus, António, 2024. "Raw materials for the Portuguese decarbonization roadmap: The case of solar photovoltaics and wind energy," Resources Policy, Elsevier, vol. 90(C).
    18. Dewulf, Jo & Blengini, Gian Andrea & Pennington, David & Nuss, Philip & Nassar, Nedal T., 2016. "Criticality on the international scene: Quo vadis?," Resources Policy, Elsevier, vol. 50(C), pages 169-176.
    19. Liu, Yanxin & Li, Huajiao & Guan, Jianhe & Feng, Sida & Guo, Sui, 2019. "The impact of Chinese steel product prices based on the midstream industry chain," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    20. Di, Jinghan & Wen, Zongguo & Jiang, Meihui & Miatto, Alessio, 2022. "Patterns and features of embodied environmental flow networks in the international trade of metal resources: A study of aluminum," Resources Policy, Elsevier, vol. 77(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:81:y:2023:i:c:s0301420723000053. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.