IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v82y2023ics0301420723001770.html
   My bibliography  Save this article

Tantalum trade structural dependencies are what we need: A perspective on the industrial chain

Author

Listed:
  • Guo, Yaoqi
  • Zheng, Ru
  • Zhang, Hongwei

Abstract

As an important rare metal, the demand of tantalum has been increasing in international trade. Understanding the evolution and characteristics of trade in the tantalum industry chain can help countries optimize their industrial structure and distribution. In this work, we applied complex networks at the global and local levels to analyze how tantalum industrial trade evolved from 2002 to 2020. Next, we used exponential random graph model (ERGM) to identify the factors of structural dependencies in tantalum trade networks. The results show that the country status in the trade network is constantly changing; however, China, the United States, and Germany remain at the center of the industrial chain. In addition, the transitivity of the network structure plays a fundamental role in the trade networks of the tantalum industry chain, which is its homogeneity. Meanwhile, the structural dependencies of the network of different products in the industrial chain are also heterogeneous. The tantalum ore and concentrates trade network (OCTN) is affected mainly by convergence and divergence, the transitivity of the network has the greatest impact on the unwrought tantalum trade network (UTTN), the tantalum electrical capacitors trade network (ECTN) is affected most by divergence, and the scrap trade network (WCTN) relies on more structural variables.

Suggested Citation

  • Guo, Yaoqi & Zheng, Ru & Zhang, Hongwei, 2023. "Tantalum trade structural dependencies are what we need: A perspective on the industrial chain," Resources Policy, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:jrpoli:v:82:y:2023:i:c:s0301420723001770
    DOI: 10.1016/j.resourpol.2023.103469
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723001770
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2023.103469?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. 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).
    3. De Benedictis Luca & Nenci Silvia & Santoni Gianluca & Tajoli Lucia & Vicarelli Claudio, 2014. "Network Analysis of World Trade using the BACI-CEPII Dataset," Global Economy Journal, De Gruyter, vol. 14(3-4), pages 1-57, October.
    4. Hunter, David R. & Goodreau, Steven M. & Handcock, Mark S., 2008. "Goodness of Fit of Social Network Models," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 248-258, March.
    5. Gang Wu & Lianyue Feng & Mihaela Peres & Jiali Dan, 2020. "Do self-organization and relational embeddedness influence free trade agreements network formation? Evidence from an exponential random graph model," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 29(8), pages 995-1017, November.
    6. Gao, Cuixia & Sun, Mei & Shen, Bo, 2015. "Features and evolution of international fossil energy trade relationships: A weighted multilayer network analysis," Applied Energy, Elsevier, vol. 156(C), pages 542-554.
    7. Sebastiaan Deetman & Lauran van Oers & Ester van der Voet & Arnold Tukker, 2018. "Deriving European Tantalum Flows Using Trade and Production Statistics," Journal of Industrial Ecology, Yale University, vol. 22(1), pages 166-179, February.
    8. Hou, Wenyu & Liu, Huifang & Wang, Hui & Wu, Fengyang, 2018. "Structure and patterns of the international rare earths trade: A complex network analysis," Resources Policy, Elsevier, vol. 55(C), pages 133-142.
    9. Sun, Qingru & Gao, Xiangyun & Zhong, Weiqiong & Liu, Nairong, 2017. "The stability of the international oil trade network from short-term and long-term perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 345-356.
    10. Stanley Wasserman & Philippa Pattison, 1996. "Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 401-425, September.
    11. Yue Pu & Yunting Li & Yingzi Wang, 2021. "Structure Characteristics and Influencing Factors of Cross-Border Electricity Trade: A Complex Network Perspective," Sustainability, MDPI, vol. 13(11), pages 1-25, May.
    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. Caravella, Serenella & Crespi, Francesco & Cucignatto, Giacomo & Guarascio, Dario, 2023. "Technological Sovereignty and Strategic Dependencies: The case of the Photovoltaic Supply Chain," GLO Discussion Paper Series 1330, Global Labor Organization (GLO).

    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. 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).
    3. Zhao, Guimei & Li, Wenxiu & Geng, Yong & Bleischwitz, Raimund, 2023. "Uncovering the features of global antimony resource trade network," Resources Policy, Elsevier, vol. 85(PA).
    4. Anna Malinovskaya & Philipp Otto, 2021. "Online network monitoring," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(5), pages 1337-1364, December.
    5. Per Block & Christoph Stadtfeld & Tom A. B. Snijders, 2019. "Forms of Dependence: Comparing SAOMs and ERGMs From Basic Principles," Sociological Methods & Research, , vol. 48(1), pages 202-239, February.
    6. Chih-Sheng Hsieh & Michael D. Konig & Xiaodong Liu, 2022. "A Structural Model for the Coevolution of Networks and Behavior," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 355-367, May.
    7. Federica Bianchi & Francesco Bartolucci & Stefano Peluso & Antonietta Mira, 2020. "Longitudinal networks of dyadic relationships using latent trajectories: evidence from the European interbank market," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 711-739, August.
    8. Shao, Liuguo & Hu, Jianying & Zhang, Hua, 2021. "Evolution of global lithium competition network pattern and its influence factors," Resources Policy, Elsevier, vol. 74(C).
    9. He, Xi-jun & Dong, Yan-bo & Wu, Yu-ying & Jiang, Guo-rui & Zheng, Yao, 2019. "Factors affecting evolution of the interprovincial technology patent trade networks in China based on exponential random graph models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 443-457.
    10. Peter R. Herman, 2022. "Modeling complex network patterns in international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(1), pages 127-179, February.
    11. Manuel E. Sosa & Martin Gargiulo & Craig Rowles, 2015. "Can Informal Communication Networks Disrupt Coordination in New Product Development Projects?," Organization Science, INFORMS, vol. 26(4), pages 1059-1078, August.
    12. Alessandro Lomi & Dean Lusher & Philippa E. Pattison & Garry Robins, 2014. "The Focused Organization of Advice Relations: A Study in Boundary Crossing," Organization Science, INFORMS, vol. 25(2), pages 438-457, April.
    13. Lianyue Feng & Helian Xu & Gang Wu & Wenting Zhang, 2021. "Service trade network structure and its determinants in the Belt and Road based on the temporal exponential random graph model," Pacific Economic Review, Wiley Blackwell, vol. 26(5), pages 617-650, December.
    14. Shade T. Shutters & Keith Waters & Rachata Muneepeerakul, 2022. "Triad Analysis of Global Energy Trade Networks and Implications for Energy Trade Stability," Energies, MDPI, vol. 15(10), pages 1-15, May.
    15. Brennecke, Julia & Sofka, Wolfgang & Wang, Peng & Rank, Olaf N., 2021. "How the organizational design of R&D units affects individual search intensity – A network study," Research Policy, Elsevier, vol. 50(5).
    16. Wei, Na & Xie, Wen-Jie & Zhou, Wei-Xing, 2022. "Robustness of the international oil trade network under targeted attacks to economies," Energy, Elsevier, vol. 251(C).
    17. Ma, Yu & Wang, Minxi & Li, Xin, 2022. "Analysis of the characteristics and stability of the global complex nickel ore trade network," Resources Policy, Elsevier, vol. 79(C).
    18. Carter, Nathan & Hadlock, Charles & Haughton, Dominique, 2008. "Generating random networks from a given distribution," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 3928-3938, April.
    19. Juan Li & Keyin Liu & Zixin Yang & Yi Qu, 2023. "Evolution and Impacting Factors of Global Renewable Energy Products Trade Network: An Empirical Investigation Based on ERGM Model," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    20. Gao, Cuixia & Tao, Simin & Su, Bin & Mensah, Isaac Adjei & Sun, Mei, 2023. "Exploring renewable energy trade coopetition relationships: Evidence from belt and road countries, 1996-2018," Renewable Energy, Elsevier, vol. 202(C), pages 196-209.

    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:82:y:2023:i:c:s0301420723001770. 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.