IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v70y2021ics0301420720310060.html
   My bibliography  Save this article

Optimization of the international nickel ore trade network

Author

Listed:
  • Dong, Xiaojuan
  • An, Feng
  • Dong, Zhiliang
  • Wang, Ze
  • Jiang, Meihui
  • Yang, Ping
  • An, Haigang

Abstract

Optimizing the structure of the international nickel ore trade is of great significance for ensuring the supply of nickel ore. In this paper, we select data on the international nickel ore trade over ten years from 2009 to 2018 and identify major nickel ore net exporters and importers. Then, we construct nickel ore trade networks from the supply perspective and the demand perspective. Next, we design an improved dynamic programming model. Finally, we obtain the optimal trade network by solving the model based on an iterative algorithm. We find that the trade costs are reduced through the optimization of the nickel ore trade network, but the degree of reduction is not uniform. In addition, we find that the overall optimization proportion of the network in 2016–2018 is the lowest, and the nickel ore trade network during this period undergoes spontaneous optimization. Some countries in the trade network, such as Japan, need to be compensated for the increased costs after optimization through policy. We obtain the possible direction of trade optimization for importing and exporting countries for each year. The optimization direction of the nickel ore trade is then partly applied to real trade. Nickel ore importing countries should expand the scope of their supply sources, and exporting countries should adjust the allocation structure of their resources as soon as possible. The optimization of international nickel ore trade networks can help reduce energy consumption, promote the rational distribution of mineral resources and realize the sustainable development of resources.

Suggested Citation

  • Dong, Xiaojuan & An, Feng & Dong, Zhiliang & Wang, Ze & Jiang, Meihui & Yang, Ping & An, Haigang, 2021. "Optimization of the international nickel ore trade network," Resources Policy, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:jrpoli:v:70:y:2021:i:c:s0301420720310060
    DOI: 10.1016/j.resourpol.2020.101978
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420720310060
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2020.101978?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. Luisa Mart𓐊Author-X-Name-First: Luisa & Leandro Garc𨀍, 2014. "The importance of the Logistics Performance Index in international trade," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2982-2992, August.
    2. Maria Garcia de la Banda & Peter J. Stuckey & Geoffrey Chu, 2011. "Solving Talent Scheduling with Dynamic Programming," INFORMS Journal on Computing, INFORMS, vol. 23(1), pages 120-137, February.
    3. Zhao, Yiran & Gao, Xiangyun & An, Haizhong & Xi, Xian & Sun, Qingru & Jiang, Meihui, 2020. "The effect of the mined cobalt trade dependence Network's structure on trade price," Resources Policy, Elsevier, vol. 65(C).
    4. Matthew J. Eckelman & Barbara K. Reck & T. E. Graedel, 2012. "Exploring the Global Journey of Nickel with Markov Chain Models," Journal of Industrial Ecology, Yale University, vol. 16(3), pages 334-342, June.
    5. Liu, Nairong & An, Haizhong & Hao, Xiaoqing & Feng, Sida, 2017. "The stability of the international heat pump trade pattern based on complex networks analysis," Applied Energy, Elsevier, vol. 196(C), pages 100-117.
    6. Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
    7. Swenseth, Scott R. & Godfrey, Michael R., 2002. "Incorporating transportation costs into inventory replenishment decisions," International Journal of Production Economics, Elsevier, vol. 77(2), pages 113-130, May.
    8. 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).
    9. Xinghua Fan & Xuxia Li & Jiuli Yin & Jiaochen Liang, 2019. "Temporal Characteristics and Spatial Homogeneity of Virtual Water Trade: A Complex Network Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1467-1480, March.
    10. Tsiotas, Dimitrios & Niavis, Spyros & Sdrolias, Labros, 2018. "Operational and geographical dynamics of ports in the topology of cruise networks: The case of Mediterranean," Journal of Transport Geography, Elsevier, vol. 72(C), pages 23-35.
    11. Luisa Martí & Rosa Puertas, 2017. "The importance of export logistics and trade costs in emerging economies," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 315-333, June.
    12. Lescaroux, François, 2009. "On the excess co-movement of commodity prices--A note about the role of fundamental factors in short-run dynamics," Energy Policy, Elsevier, vol. 37(10), pages 3906-3913, October.
    13. Barbara K. Reck & Vera Susanne Rotter, 2012. "Comparing Growth Rates of Nickel and Stainless Steel Use in the Early 2000s," Journal of Industrial Ecology, Yale University, vol. 16(4), pages 518-528, August.
    14. James Flynn, 1975. "Retaining Productive Units: A Dynamic Programming Model with a Steady State Solution," Management Science, INFORMS, vol. 21(7), pages 753-764, March.
    15. Jiang, Meihui & An, Haizhong & Gao, Xiangyun & Liu, Donghui & Jia, Nanfei & Xi, Xian, 2020. "Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China," Energy, Elsevier, vol. 208(C).
    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. Xu-guang, Zuo & Xue-hong, Zhu & Jin-yu, Chen, 2022. "Trade dependence network structure of tantalum trade goods and its effect on trade prices: An industry chain perspective," Resources Policy, Elsevier, vol. 79(C).
    2. Jin, Pengfei & Wang, Saige & Meng, Zheng & Chen, Bin, 2023. "China's lithium supply chains: Network evolution and resilience assessment," Resources Policy, Elsevier, vol. 87(PB).
    3. 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).
    4. Zhang, Ling & Wang, Liang & Wang, Miaomiao & Yuan, Zengwei, 2024. "Multilevel analysis of copper resource reallocation in the anthroposphere through international trade," Resources Policy, Elsevier, vol. 88(C).
    5. Yu, Yu & Ma, Daipeng & Qian, Yingmiao, 2023. "A resilience measure for the international nickel trade network," Resources Policy, Elsevier, vol. 86(PA).
    6. 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).
    7. 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).
    8. 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).
    9. Qiaoran Yang & Zhiliang Dong & Yichi Zhang & Man Li & Ziyi Liang & Chao Ding, 2021. "Who Will Establish New Trade Relations? Looking for Potential Relationship in International Nickel Trade," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    10. Wu, Congcong & Gao, Xiangyun & Xi, Xian & Zhao, Yiran & Li, Yu, 2021. "The stability optimization of the international lithium trade," Resources Policy, Elsevier, vol. 74(C).
    11. Zhu, Xuehong & Ding, Qian & Chen, Jinyu, 2022. "How does critical mineral trade pattern affect renewable energy development? The mediating role of renewable energy technological progress," Energy Economics, Elsevier, vol. 112(C).
    12. Yu, Yu & Ma, Daipeng & Zhu, Weiwei, 2023. "Resilience assessment of international cobalt trade network," Resources Policy, Elsevier, vol. 83(C).
    13. 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).

    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. 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).
    2. Aggarwal, Sakshi, 2023. "The empirical measurement and determinants of intra-industry trade for a developing country," MPRA Paper 117112, University Library of Munich, Germany.
    3. Xi, Xian & Gao, Xiangyun & Zhou, Jinsheng & Zheng, Huiling & Ding, Jiazheng & Si, Jingjian, 2021. "Uncovering the impacts of structural similarity of financial indicators on stock returns at different quantile levels," International Review of Financial Analysis, Elsevier, vol. 76(C).
    4. 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).
    5. Abdolrasoul Ghasemi & Elnaz Miandoabchi & Shiva Soroushnia, 2021. "The attractiveness of seaport-based transport corridors: an integrated approach based on scenario planning and gravity models," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(3), pages 522-547, September.
    6. Mamta Kumari & Nalin Bharti, 2021. "Trade and logistics performance: does country size matter?," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(3), pages 401-423, September.
    7. Pothen, Frank & Hundt, Carolin, 2024. "European post-consumer steel scrap in 2050: A review of estimates and modeling assumptions," Jena Contributions to Economic Research Jahrgang 2024/1, Ernst-Abbe-Hochschule Jena – University of Applied Sciences, Department of Business Administration.
    8. Hundt, Carolin & Pothen, Frank, 2024. "European post-consumer steel scrap in 2050: A review of estimates and modeling assumptions," Wirtschaftswissenschaftliche Schriften 01/2024, Ernst-Abbe-Hochschule Jena – University of Applied Sciences, Department of Business Administration.
    9. Zhang, Yihan & Xu, Jinwen & Yang, Wancheng, 2024. "Analysis of the evolution characteristics of international ICT services trade based on complex network," Telecommunications Policy, Elsevier, vol. 48(3).
    10. Zhu, Xuehong & Ding, Qian & Chen, Jinyu, 2022. "How does critical mineral trade pattern affect renewable energy development? The mediating role of renewable energy technological progress," Energy Economics, Elsevier, vol. 112(C).
    11. Das, Debojyoti & Bhatia, Vaneet & Kumar, Surya Bhushan & Basu, Sankarshan, 2022. "Do precious metals hedge crude oil volatility jumps?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    12. Pierre Bernhard & Marc Deschamps, 2017. "Kalman on dynamics and contro, Linear System Theory, Optimal Control, and Filter," Working Papers 2017-10, CRESE.
    13. Jones, Randall E. & Cacho, Oscar J., 2000. "A Dynamic Optimisation Model of Weed Control," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123685, Australian Agricultural and Resource Economics Society.
    14. Voelkel, Michael A. & Sachs, Anna-Lena & Thonemann, Ulrich W., 2020. "An aggregation-based approximate dynamic programming approach for the periodic review model with random yield," European Journal of Operational Research, Elsevier, vol. 281(2), pages 286-298.
    15. 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).
    16. Pam Norton & Ravi Phatarfod, 2008. "Optimal Strategies In One-Day Cricket," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 25(04), pages 495-511.
    17. Z X Chen & B R Sarker, 2010. "Multi-vendor integrated procurement-production system under shared transportation and just-in-time delivery system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(11), pages 1654-1666, November.
    18. Aghayi, Nazila & Maleki, Bentolhoda, 2016. "Efficiency measurement of DMUs with undesirable outputs under uncertainty based on the directional distance function: Application on bank industry," Energy, Elsevier, vol. 112(C), pages 376-387.
    19. Önsel Ekici, Şule & Kabak, Özgür & Ülengin, Füsun, 2019. "Improving logistics performance by reforming the pillars of Global Competitiveness Index," Transport Policy, Elsevier, vol. 81(C), pages 197-207.
    20. Tan, Madeleine Sui-Lay, 2016. "Policy coordination among the ASEAN-5: A global VAR analysis," Journal of Asian Economics, Elsevier, vol. 44(C), pages 20-40.

    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:70:y:2021:i:c:s0301420720310060. 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.