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Quantifying the status of economies in international crop trade networks: A correlation structure analysis of various node-ranking metrics

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  • Zhang, Yin-Ting
  • Zhou, Wei-Xing

Abstract

International food trade is a growing complement to gaps in domestic food supply and demand, but it is vulnerable to disruptions due to some unforeseen shocks. This paper assembles the international crop trade networks using maize, rice, soybean, and wheat trade data sets from 1986 to 2020. We assess the importance of economies using multidimensional node importance metrics. We analyze the correlation structure of different node important metrics based on the random matrix theory and incorporate 20 metrics into a single metric. We find that some metrics have many similarities and dissimilarities, especially those based on the same trade flow directions. We also find that European economies have a significant impact on the iCTNs. Additionally, economies with poor crop production play a major role in import trade, whereas economies with higher food production or smaller populations are crucial to export trade. Our findings have practical implications for identifying key economies in the international crop trade networks, preventing severe damage to the food trade system caused by trade disruptions in some economies, maintaining the stability of the food supply, and ensuring food security.

Suggested Citation

  • Zhang, Yin-Ting & Zhou, Wei-Xing, 2023. "Quantifying the status of economies in international crop trade networks: A correlation structure analysis of various node-ranking metrics," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:chsofr:v:172:y:2023:i:c:s096007792300468x
    DOI: 10.1016/j.chaos.2023.113567
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    1. Charlotte Janssens & Petr Havlík & Tamás Krisztin & Justin Baker & Stefan Frank & Tomoko Hasegawa & David Leclère & Sara Ohrel & Shaun Ragnauth & Erwin Schmid & Hugo Valin & Nicole Van Lipzig & Miet M, 2020. "Global hunger and climate change adaptation through international trade," Nature Climate Change, Nature, vol. 10(9), pages 829-835, September.
    2. Mengqiao Xu & Qian Pan & Alessandro Muscoloni & Haoxiang Xia & Carlo Vittorio Cannistraci, 2020. "Modular gateway-ness connectivity and structural core organization in maritime network science," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
    3. Vasiliki Plerou & Parameswaran Gopikrishnan & Bernd Rosenow & Luis A. Nunes Amaral & H. Eugene Stanley, 1999. "Universal and non-universal properties of cross-correlations in financial time series," Papers cond-mat/9902283, arXiv.org.
    4. Bouët, Antoine & Laborde Debucquet, David, 2017. "Food crisis and export taxation: The cost of noncooperative trade policies:," IFPRI book chapters, in: Bouët, Antoine & Laborde Debucquet, David (ed.), Agriculture, development, and the global trading system: 2000– 2015, chapter 12, International Food Policy Research Institute (IFPRI).
    5. Dai, Yun-Shi & Huynh, Ngoc Quang Anh & Zheng, Qing-Huan & Zhou, Wei-Xing, 2022. "Correlation structure analysis of the global agricultural futures market," Research in International Business and Finance, Elsevier, vol. 61(C).
    6. Garas, Antonios & Argyrakis, Panos, 2007. "Correlation study of the Athens Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 399-410.
    7. Kym Anderson & Signe Nelgen, 2012. "Agricultural trade distortions during the global financial crisis," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 28(2), pages 235-260, SUMMER.
    8. Dai, Peng-Fei & Xiong, Xiong & Zhou, Wei-Xing, 2021. "A global economic policy uncertainty index from principal component analysis," Finance Research Letters, Elsevier, vol. 40(C).
    9. Du, Zhouyang & Tang, Jinjun & Qi, Yong & Wang, Yiwei & Han, Chunyang & Yang, Yifan, 2020. "Identifying critical nodes in metro network considering topological potential: A case study in Shenzhen city—China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    10. Milena Oehlers & Benjamin Fabian, 2021. "Graph Metrics for Network Robustness—A Survey," Mathematics, MDPI, vol. 9(8), pages 1-48, April.
    11. Chen, Duanbing & Lü, Linyuan & Shang, Ming-Sheng & Zhang, Yi-Cheng & Zhou, Tao, 2012. "Identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1777-1787.
    12. Leo Katz, 1953. "A new status index derived from sociometric analysis," Psychometrika, Springer;The Psychometric Society, vol. 18(1), pages 39-43, March.
    13. 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).
    14. 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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