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A pre-pandemic analysis of the global fertiliser trade network

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  • Gutiérrez-Moya, Ester
  • Lozano, Sebastián
  • Adenso-Díaz, Belarmino

Abstract

In this paper a complex network analysis of global fertiliser trade during the period 2014–2018 has been carried out. The goal is to study its structure both at the global and local level, identifying communities and main players, motifs, structural holes and brokerage roles. The persistency and variability of trade links have also been analysed. The Global Fertiliser Trade Network is characterised as a small-world network with scale-free properties, revealing a high level of reciprocity and centralisation. The network has a core-periphery structure consisting of five core countries (namely EU, USA, China, Brazil, and the Russian Federation) which trade among themselves and with most periphery countries, which have sparse connections between them. The interregional and community analyses indicate a moderate level of heterophily and a geographical component in the trade communities. The network also exhibits an overall tendency toward intransitivity which implies a strategic advantage for countries that act as brokers. This study provides a clear picture of the situation prior to the COVID pandemic and the Ukraine military conflict. Those events have affected global fertiliser trade in a way that has yet to be fully ascertained. The purpose of this paper is to firmly establish a reference against which to gauge the direction and magnitude of those changes.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:jrpoli:v:85:y:2023:i:pb:s0301420723005706
    DOI: 10.1016/j.resourpol.2023.103859
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    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
    2. Massimo Riccaboni & Alessandro Rossi & Stefano Schiavo, 2013. "Global networks of trade and bits," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 8(1), pages 33-56, April.
    3. Freddy Cepeda-López & Fredy Gamboa-Estrada & Carlos León & Hernán Rincón-Castro, 2019. "The evolution of world trade from 1995 to 2014: A network approach," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 28(4), pages 452-485, May.
    4. 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.
    5. Hai Qi & Haizhong An & Xiaoqing Hao & Weiqiong Zhong & Yanbing Zhang, 2014. "Analyzing the International Exergy Flow Network of Ferrous Metal Ores," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-16, September.
    6. Zhang, Shuhong & Wang, Lin & Liu, Zhixin & Wang, Xiaofan, 2016. "Evolution of international trade and investment networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 752-763.
    7. Dmitrieva, D. & Ilinova, A. & Kraslawski, A., 2017. "Strategic management of the potash industry in Russia," Resources Policy, Elsevier, vol. 52(C), pages 81-89.
    8. 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.
    9. Xiaomin Yu & Haigang Li & Reiner Doluschitz, 2020. "Towards Sustainable Management of Mineral Fertilizers in China: An Integrative Analysis and Review," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    10. 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).
    11. Duncan J. Watts & Steven H. Strogatz, 1998. "Collective dynamics of ‘small-world’ networks," Nature, Nature, vol. 393(6684), pages 440-442, June.
    12. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    13. Peter R. Herman, 2022. "Correction to: 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(2), pages 713-714, May.
    14. Zhong, Weiqiong & An, Haizhong & Fang, Wei & Gao, Xiangyun & Dong, Di, 2016. "Features and evolution of international fossil fuel trade network based on value of emergy," Applied Energy, Elsevier, vol. 165(C), pages 868-877.
    15. Qing Guan & Haizhong An & Xiaoqing Hao & Xiaoliang Jia, 2016. "The Impact of Countries’ Roles on the International Photovoltaic Trade Pattern: The Complex Networks Analysis," Sustainability, MDPI, vol. 8(4), pages 1-16, March.
    16. Fan, Ying & Ren, Suting & Cai, Hongbo & Cui, Xuefeng, 2014. "The state's role and position in international trade: A complex network perspective," Economic Modelling, Elsevier, vol. 39(C), pages 71-81.
    17. Du, Ruijin & Wang, Ya & Dong, Gaogao & Tian, Lixin & Liu, Yixiao & Wang, Minggang & Fang, Guochang, 2017. "A complex network perspective on interrelations and evolution features of international oil trade, 2002–2013," Applied Energy, Elsevier, vol. 196(C), pages 142-151.
    18. Foti, Nicholas J. & Pauls, Scott & Rockmore, Daniel N., 2013. "Stability of the World Trade Web over time – An extinction analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1889-1910.
    19. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
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