IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v74y2021ics0301420721003767.html
   My bibliography  Save this article

Research on global natural graphite trade risk countermeasures based on the maximum entropy principle

Author

Listed:
  • Wang, Xingxing
  • Li, Huajiao
  • Zhu, Depeng
  • Zhong, Weiqiong
  • Xing, Wanli
  • Wang, Anjian

Abstract

The growing global trade disputes have raised concerns about the supply security of key minerals needed for strategic emerging industries. As one of the key minerals for many economically powerful countries, the international trade of graphite is exposed to high supply risks. Each country should not only pay attention to the paths through which trade risks propagate but also increasingly focus on how resource redistribution between countries can reduce the losses due to supply risks. Therefore, based on the construction of global graphite trade network and the principle of maximum entropy, this paper constructs a graphite trade redistribution model. Taking the trade relationship with larger export share and typical trading countries (China, the largest exporter, and Germany, a major intermediary country) as examples and from the global perspective, the resource redistribution among graphite-trading countries under different supply risk scenarios is simulated to analyze the changes in trade relations among countries. The results provide an important reference for national resource recovery after a graphite supply risk and a new way of thinking for those who study international trade.

Suggested Citation

  • Wang, Xingxing & Li, Huajiao & Zhu, Depeng & Zhong, Weiqiong & Xing, Wanli & Wang, Anjian, 2021. "Research on global natural graphite trade risk countermeasures based on the maximum entropy principle," Resources Policy, Elsevier, vol. 74(C).
  • Handle: RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420721003767
    DOI: 10.1016/j.resourpol.2021.102367
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420721003767
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2021.102367?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. Yuichi Ikeda & Hiroshi Iyetomi, 2018. "Trade Network Reconstruction and Simulation with Changes in Trade Policy," Papers 1806.00605, arXiv.org.
    2. Rebekka Burkholz & Frank Schweitzer, 2019. "International crop trade networks: The impact of shocks and cascades," Papers 1901.05872, arXiv.org.
    3. Yuichi Ikeda & Hiroshi Iyetomi, 2018. "Trade network reconstruction and simulation with changes in trade policy," Evolutionary and Institutional Economics Review, Springer, vol. 15(2), pages 495-513, December.
    4. Kornkarun Cheewatrakoolpong & Somprawin Manprasert, 2014. "Trade Linkages and Crisis Spillovers," Asian Economic Papers, MIT Press, vol. 13(1), pages 84-103, Winter.
    5. Egging, Ruud & Holz, Franziska, 2016. "Risks in global natural gas markets: Investment, hedging and trade," Energy Policy, Elsevier, vol. 94(C), pages 468-479.
    6. Giulio Cimini & Tiziano Squartini & Diego Garlaschelli & Andrea Gabrielli, 2014. "Systemic risk analysis in reconstructed economic and financial networks," Papers 1411.7613, arXiv.org, revised May 2015.
    7. Chen, Zhihua & An, Haizhong & An, Feng & Guan, Qing & Hao, Xiaoqing, 2018. "Structural risk evaluation of global gas trade by a network-based dynamics simulation model," Energy, Elsevier, vol. 159(C), pages 457-471.
    8. Yuichi Ikeda & Tsutomu Watanabe, 2016. "Who buys what, where: Reconstruction of the international trade flows by commodity and industry," UTokyo Price Project Working Paper Series 071, University of Tokyo, Graduate School of Economics.
    9. Iacopo Mastromatteo & Elia Zarinelli & Matteo Marsili, 2011. "Reconstruction of financial network for robust estimation of systemic risk," Papers 1109.6210, arXiv.org, revised Feb 2012.
    10. 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.
    11. Iman van Lelyveld & Franka Liedorp, 2006. "Interbank Contagion in the Dutch Banking Sector: A Sensitivity Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 2(2), May.
    12. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2014. "A dynamic analysis on global natural gas trade network," Applied Energy, Elsevier, vol. 132(C), pages 23-33.
    13. Warzoha, Ronald J. & Weigand, Rebecca M. & Fleischer, Amy S., 2015. "Temperature-dependent thermal properties of a paraffin phase change material embedded with herringbone style graphite nanofibers," Applied Energy, Elsevier, vol. 137(C), pages 716-725.
    14. Zhong, Weiqiong & An, Haizhong & Gao, Xiangyun & Sun, Xiaoqi, 2014. "The evolution of communities in the international oil trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 42-52.
    15. Zhang, Lei & Zhu, Jiaoqun & Zhou, Weibing & Wang, Jun & Wang, Yan, 2012. "Thermal and electrical conductivity enhancement of graphite nanoplatelets on form-stable polyethylene glycol/polymethyl methacrylate composite phase change materials," Energy, Elsevier, vol. 39(1), pages 294-302.
    16. Li, Wei & Zhang, Rong & Jiang, Nan & Tang, Xiao-fen & Shi, Hai-feng & Zhang, Xing-xiang & Zhang, Yuankai & Dong, Lin & Zhang, Ningxin, 2013. "Composite macrocapsule of phase change materials/expanded graphite for thermal energy storage," Energy, Elsevier, vol. 57(C), pages 607-614.
    17. Hans Degryse & Grégory Nguyen, 2007. "Interbank Exposures: An Empirical Examination of Contagion Risk in the Belgian Banking System," International Journal of Central Banking, International Journal of Central Banking, vol. 3(2), pages 123-171, June.
    18. Iacopo Mastromatteo & Elia Zarinelli & Matteo Marsili, 2012. "Reconstruction of financial network for robust estimation of systemic risk," Post-Print hal-00714026, HAL.
    19. Carey W. King, 2016. "Information Theory to Assess Relations Between Energy and Structure of the U.S. Economy Over Time," Biophysical Economics and Resource Quality, Springer, vol. 1(2), pages 1-33, December.
    20. Yuichi Ikeda & Tsutomu Watanabe, 2016. "Who buys what, where: Reconstruction of the international trade flows by commodity and industry," CARF F-Series CARF-F-393, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    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. 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).
    2. Zhou, Xuanru & Zhang, Hua & Zheng, Shuxian & Xing, Wanli & Yang, Hanshi & Zhao, Yifan, 2023. "A study on the transmission of trade behavior of global nickel products from the perspective of the industrial chain," Resources Policy, Elsevier, vol. 81(C).
    3. Yu, Yu & Ma, Daipeng & Zhu, Weiwei, 2023. "Resilience assessment of international cobalt trade network," Resources Policy, Elsevier, vol. 83(C).
    4. Wang, Xingxing & Wang, Anjian & Zhong, Weiqiong & Zhu, Depeng & Wang, Chunhui, 2022. "Analysis of international nickel flow based on the industrial chain," Resources Policy, Elsevier, vol. 77(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. Yuichi Ikeda & Hidetoshi Takeda, 2020. "Reconstruction of Interbank Network using Ridge Entropy Maximization Model," Papers 2001.04097, arXiv.org, revised Jul 2021.
    2. 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).
    3. Giulio Cimini & Tiziano Squartini & Nicol`o Musmeci & Michelangelo Puliga & Andrea Gabrielli & Diego Garlaschelli & Stefano Battiston & Guido Caldarelli, 2014. "Reconstructing topological properties of complex networks using the fitness model," Papers 1410.2121, arXiv.org.
    4. 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.
    5. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.
    6. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
    7. Chen, Zhihua & An, Haizhong & An, Feng & Guan, Qing & Hao, Xiaoqing, 2018. "Structural risk evaluation of global gas trade by a network-based dynamics simulation model," Energy, Elsevier, vol. 159(C), pages 457-471.
    8. Qiao Chen & Jianquan Cheng & Zhiqin Wu, 2019. "Evolution of the Cultural Trade Network in “the Belt and Road” Region: Implication for Global Cultural Sustainability," Sustainability, MDPI, vol. 11(10), pages 1-23, May.
    9. Xu, Hai-Chuan & Wang, Zhi-Yuan & Jawadi, Fredj & Zhou, Wei-Xing, 2023. "Reconstruction of international energy trade networks with given marginal data: A comparative analysis," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    10. M. Andrecut, 2017. "Systemic Risk, Maximum Entropy and Interbank Contagion," Papers 1703.04549, arXiv.org.
    11. Li, Min & Mu, Boyuan, 2019. "Effect of different dimensional carbon materials on the properties and application of phase change materials: A review," Applied Energy, Elsevier, vol. 242(C), pages 695-715.
    12. Chen, Yu & Jin, Shuyue & Wang, Xiasi, 2021. "Solvency contagion risk in the Chinese commercial banks’ network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    13. Tiziano Squartini & Guido Caldarelli & Giulio Cimini & Andrea Gabrielli & Diego Garlaschelli, 2018. "Reconstruction methods for networks: the case of economic and financial systems," Papers 1806.06941, arXiv.org.
    14. Giulia Poce & Giulio Cimini & Andrea Gabrielli & Andrea Zaccaria & Giuditta Baldacci & Marco Polito & Mariangela Rizzo & Silvia Sabatini, 2016. "What do central counterparties default funds really cover? A network-based stress test answer," Papers 1611.03782, arXiv.org.
    15. Axel Gandy & Luitgard A. M. Veraart, 2017. "A Bayesian Methodology for Systemic Risk Assessment in Financial Networks," Management Science, INFORMS, vol. 63(12), pages 4428-4446, December.
    16. Giulio Cimini & Matteo Serri, 2016. "Entangling Credit and Funding Shocks in Interbank Markets," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-15, August.
    17. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    18. Andre R. Neveu, 2018. "A survey of network-based analysis and systemic risk measurement," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(2), pages 241-281, July.
    19. Yuichi Ikeda & Hiroshi Iyetomi, 2018. "Trade Network Reconstruction and Simulation with Changes in Trade Policy," Papers 1806.00605, arXiv.org.
    20. 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.

    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:74:y:2021:i:c:s0301420721003767. 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.