IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v85y2023ipas0301420723005263.html
   My bibliography  Save this article

Uncovering the features of global antimony resource trade network

Author

Listed:
  • Zhao, Guimei
  • Li, Wenxiu
  • Geng, Yong
  • Bleischwitz, Raimund

Abstract

Antimony is a scarce strategic metal and plays an extremely important role in the modern societies. Due to the increasing demands for various antimony-containing products, it is critical to identify the key supply risk of antimony industrial chain. This study aims to uncover the key features of antimony-related trade flows from a global value chain perspective and assess the trade network linkage and features of global antimony resource by using a complex network model and a stochastic block model. Also, the trade network evolution of global antimony resources is investigated by using an exponential random graph expansion method so that valuable policy insights can be obtained for preparing appropriate policies to facilitate sustainable antimony resource management. Results show that the network structure of the global antimony resource presents a significant center-periphery feature. China, India, Vietnam and Tajikistan have always acted as trade intermediaries and bridges of global antimony resources. Also, the evolution of global antimony resources trade network was driven by trade network autonomy and exogenous network embeddedness. In addition, geopolitics is the biggest obstacle to maintain the operation of this global antimony trade network. Finally, policy recommendations are proposed to help ensure sustainable supply of antimony resources.

Suggested Citation

  • Zhao, Guimei & Li, Wenxiu & Geng, Yong & Bleischwitz, Raimund, 2023. "Uncovering the features of global antimony resource trade network," Resources Policy, Elsevier, vol. 85(PA).
    • Handle: RePEc:eee:jrpoli:v:85:y:2023:i:pa:s0301420723005263
    DOI: 10.1016/j.resourpol.2023.103815
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723005263
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2023.103815?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. Xu, Helian & Feng, Lianyue & Wu, Gang & Zhang, Qi, 2021. "Evolution of structural properties and its determinants of global waste paper trade network based on temporal exponential random graph models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    2. Xia, Wenjun & Chen, Xiaohong & Song, Chao & Pérez-Carrera, Alejo, 2022. "Driving factors of virtual water in international grain trade: A study for belt and road countries," Agricultural Water Management, Elsevier, vol. 262(C).
    3. Feng, Lianyue & Xu, Helian & Wu, Gang & Zhao, Yuan & Xu, Jialin, 2020. "Exploring the structure and influence factors of trade competitive advantage network along the Belt and Road," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    4. Yong Geng & Joseph Sarkis & Raimund Bleischwitz, 2019. "How to globalize the circular economy," Nature, Nature, vol. 565(7738), pages 153-155, January.
    5. Wang, Wenya & Li, Zhenfu & Cheng, Xin, 2019. "Evolution of the global coal trade network: A complex network analysis," Resources Policy, Elsevier, vol. 62(C), pages 496-506.
    6. Ge, Jianping & Wang, Xibo & Guan, Qing & Li, Weiheng & Zhu, He & Yao, Min, 2016. "World rare earths trade network: Patterns, relations and role characteristics," Resources Policy, Elsevier, vol. 50(C), pages 119-130.
    7. Boulamanti, Aikaterini & Moya, Jose Antonio, 2016. "Production costs of the non-ferrous metals in the EU and other countries: Copper and zinc," Resources Policy, Elsevier, vol. 49(C), pages 112-118.
    8. Slavi T. Slavov, 2007. "Innocent or Not‐so‐innocent Bystanders: Evidence from the Gravity Model of International Trade About the Effects of UN Sanctions on Neighbour Countries," The World Economy, Wiley Blackwell, vol. 30(11), pages 1701-1725, November.
    9. Xi, Xian & Zhou, Jinsheng & Gao, Xiangyun & Liu, Donghui & Zheng, Huiling & Sun, Qingru, 2019. "Impact of changes in crude oil trade network patterns on national economy," Energy Economics, Elsevier, vol. 84(C).
    10. Kang, Xinyu & Wang, Minxi & Wang, Taixin & Luo, Fanjie & Lin, Jing & Li, Xin, 2022. "Trade trends and competition intensity of international copper flow based on complex network: From the perspective of industry chain," Resources Policy, Elsevier, vol. 79(C).
    11. Johannes Pol, 2019. "Introduction to Network Modeling Using Exponential Random Graph Models (ERGM): Theory and an Application Using R-Project," Computational Economics, Springer;Society for Computational Economics, vol. 54(3), pages 845-875, October.
    12. 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.
    13. Kitamura, Toshihiko & Managi, Shunsuke, 2017. "Driving force and resistance: Network feature in oil trade," Applied Energy, Elsevier, vol. 208(C), pages 361-375.
    14. Li, Yingli & Huang, Jianbai & Zhang, Hongwei, 2022. "The impact of country risks on cobalt trade patterns from the perspective of the industrial chain," Resources Policy, Elsevier, vol. 77(C).
    15. Yu, Guihai & Xiong, Chao & Xiao, Jianxiong & He, Deyan & Peng, Gang, 2022. "Evolutionary analysis of the global rare earth trade networks," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    16. Wang, Chunhui & Zhong, Weiqiong & Wang, Anjian & Sun, Xiaoqi & Li, Tianjiao & Wang, Xingxing, 2021. "Mapping the evolution of international antimony ores trade pattern based on complex network," Resources Policy, Elsevier, vol. 74(C).
    17. Bai, Xiao & Hu, Xiaoqian & Wang, Chao & Lim, Ming K. & Vilela, André L.M. & Ghadimi, Pezhman & Yao, Cuiyou & Stanley, H. Eugene & Xu, Huji, 2022. "Most influential countries in the international medical device trade: Network-based analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    18. Richard Baldwin & Javier Lopez-Gonzalez, 2015. "Supply-chain Trade: A Portrait of Global Patterns and Several Testable Hypotheses," The World Economy, Wiley Blackwell, vol. 38(11), pages 1682-1721, November.
    19. Yang Liu & Sang-Bing Tsai & Liu Zhi, 2022. "Dynamic Evolution of Service Trade Network Structure and Influence Mechanism in Countries along the “Belt and Road†with Big Data Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, January.
    20. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    21. 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).
    22. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    23. Chen, Guang & Kong, Rui & Wang, Yixin, 2020. "Research on the evolution of lithium trade communities based on the complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    24. Wang, Wenya & Fan, Liwei & Li, Zhenfu & Zhou, Peng & Chen, Xue, 2021. "Measuring dynamic competitive relationship and intensity among the global coal importing trade," Applied Energy, Elsevier, vol. 303(C).
    25. Zhong, Weiqiong & An, Haizhong & Shen, Lei & Dai, Tao & Fang, Wei & Gao, Xiangyun & Dong, Di, 2017. "Global pattern of the international fossil fuel trade: The evolution of communities," Energy, Elsevier, vol. 123(C), pages 260-270.
    26. Henckens, M.L.C.M. & Driessen, P.P.J. & Worrell, E., 2016. "How can we adapt to geological scarcity of antimony? Investigation of antimony's substitutability and of other measures to achieve a sustainable use," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 54-62.
    27. Leifeld, Philip & Cranmer, Skyler J., 2019. "A theoretical and empirical comparison of the temporal exponential random graph model and the stochastic actor-oriented model," Network Science, Cambridge University Press, vol. 7(1), pages 20-51, March.
    28. 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).
    29. Zhaohui Chong & Chenglin Qin & Su Pan, 2019. "The Evolution of the Belt and Road Trade Network and Its Determinant Factors," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(14), pages 3166-3177, November.
    30. 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).
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. Chen, Jinyu & Luo, Qian & Sun, Xin & Zhang, Zitao & Dong, Xuesong, 2023. "The impact of renewable energy consumption on lithium trade patterns: An industrial chain perspective," Resources Policy, Elsevier, vol. 85(PA).
    3. 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).
    4. Cai, Xiaomei & Liu, Chan & Zheng, Shuxian & Hu, Han & Tan, Zhanglu, 2023. "Analysis on the evolution characteristics of barite international trade pattern based on complex networks," Resources Policy, Elsevier, vol. 83(C).
    5. Zhang, Hongwei & Wang, Ying & Yang, Cai & Guo, Yaoqi, 2021. "The impact of country risk on energy trade patterns based on complex network and panel regression analyses," Energy, Elsevier, vol. 222(C).
    6. Zhang, Hongwei & Wang, Ying & Zhu, Xuehong & Guo, Yaoqi, 2020. "The impact of energy trade patterns on CO2 emissions: An emergy and network analysis," Energy Economics, Elsevier, vol. 92(C).
    7. 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).
    8. Yu, Yu & Ma, Daipeng & Zhu, Weiwei, 2023. "Resilience assessment of international cobalt trade network," Resources Policy, Elsevier, vol. 83(C).
    9. 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).
    10. Xia, Qifan & Du, Debin & Cao, Wanpeng & Li, Xiya, 2023. "Who is the core? Reveal the heterogeneity of global rare earth trade structure from the perspective of industrial chain," Resources Policy, Elsevier, vol. 82(C).
    11. Li, Xiaotong & Zhang, Hua & Zhou, Xuanru & Zhong, Weiqiong, 2022. "Research on the evolution of the global import and export competition network of chromium resources from the perspective of the whole industrial chain," Resources Policy, Elsevier, vol. 79(C).
    12. Wang, Chunhui & Zhong, Weiqiong & Wang, Anjian & Sun, Xiaoqi & Li, Tianjiao & Wang, Xingxing, 2021. "Mapping the evolution of international antimony ores trade pattern based on complex network," Resources Policy, Elsevier, vol. 74(C).
    13. Wang, Chao & Huang, Xia & Hu, Xiaoqian & Zhao, Longfeng & Liu, Chao & Ghadimi, Pezhman, 2021. "Trade characteristics, competition patterns and COVID-19 related shock propagation in the global solar photovoltaic cell trade," Applied Energy, Elsevier, vol. 290(C).
    14. Shao, Liuguo & Hu, Jianying & Zhang, Hua, 2021. "Evolution of global lithium competition network pattern and its influence factors," Resources Policy, Elsevier, vol. 74(C).
    15. Kang, Xinyu & Wang, Minxi & Wang, Taixin & Luo, Fanjie & Lin, Jing & Li, Xin, 2022. "Trade trends and competition intensity of international copper flow based on complex network: From the perspective of industry chain," Resources Policy, Elsevier, vol. 79(C).
    16. Gutiérrez-Moya, Ester & Lozano, Sebastián & Adenso-Díaz, Belarmino, 2023. "A pre-pandemic analysis of the global fertiliser trade network," Resources Policy, Elsevier, vol. 85(PB).
    17. Hao, Hongchang & Ma, Zhe & Wang, Anjian & Xing, Wanli & Song, Hao & Zhao, Pei & Wei, Jiangqiao & Zheng, Shuxian, 2023. "Modeling and assessing the robustness of the lithium global trade system against cascading failures," Resources Policy, Elsevier, vol. 85(PB).
    18. Zirui Wang & Wanli Xing, 2022. "Study on the Characteristics and Evolution Trends of Global Uranium Resource Trade from the Perspective of a Complex Network," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    19. Zheng, Shuxian & Zhou, Xuanru & Xing, Wanli & Zhao, Pei, 2022. "Analysis on the evolution characteristics of kaolin international trade pattern based on complex networks," Resources Policy, Elsevier, vol. 77(C).
    20. Hao, Xiaoqing, 2023. "Import competition and pressure in the international crude oil trade: A network analysis," Resources Policy, Elsevier, vol. 82(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:85:y:2023:i:pa:s0301420723005263. 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.