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Uncovering the features of global antimony resource trade network

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  • 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.

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  • 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
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    as
    1. 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).
    2. 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).
    3. 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).
    4. 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.
    5. 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.
    6. 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).
    7. 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).
    8. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    9. Yong Geng & Joseph Sarkis & Raimund Bleischwitz, 2019. "How to globalize the circular economy," Nature, Nature, vol. 565(7738), pages 153-155, January.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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).
    18. 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.
    19. 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.
    20. 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).
    21. 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).
    22. 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.
    23. 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.
    24. 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.
    25. Kitamura, Toshihiko & Managi, Shunsuke, 2017. "Driving force and resistance: Network feature in oil trade," Applied Energy, Elsevier, vol. 208(C), pages 361-375.
    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. 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.
    28. 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).
    29. 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).
    30. 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).
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    2. Xia, Qifan & Du, Debin & Yu, Zihao & Li, Xiya & Zhang, Qiang, 2024. "Coins have both sides: Revealing the structure and pattern of global interdependence network for five critical metals," Resources Policy, Elsevier, vol. 88(C).
    3. Li, Yunting & Liu, Yuxin & Pu, Yue, 2024. "Dynamic changes in the bauxite trade competition network structure and its influencing factors: Based on temporal exponential random graph model," Resources Policy, Elsevier, vol. 95(C).

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