文献类型：期刊文献

英文题名：Economic importance and structural robustness of the international pesticide trade networks

作者：Li, Jian-An[1];Wang, Li[2,3];Xie, Wen-Jie[1,3];Zhou, Wei-Xing[1,3,4]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Int Elite Engn Sch, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China;[4]East China Univ Sci & Technol, Sch Math, Shanghai 200237, Peoples R China

年份：2023

卷号：8

期号：4

起止页码：512

外文期刊名：JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING

收录：WOS:【ESCI(收录号:WOS:001072956300001)】；

基金：Acknowledgements This work was supported by the National Natural Science Foundation of China (72171083) , the Shanghai Outstanding Academic Leaders Plan, and the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：Econophysics; International pesticide trade network; Temporal network; Structural robustness

摘要：Pesticides are agricultural inputs that can significantly reduce yield losses, regulate plant growth, effectively liberate agricultural productivity, and improve food security. The availability of pesticides in economies worldwide is ensured by redistribution through international trade, with different economies playing different roles in this process. In this study, we measured and ranked the importance of economies using nine node metrics. We found that the clustering coefficient was negatively correlated with the other eight node metrics, whereas the other eight node metrics were positively correlated with each other and could be grouped into three communities (betweenness; in-degree, PageRank, authority, and in-closeness; out-degree, hub, and out-closeness). We further investigated the structural robustness of international pesticide trade networks proxied by large component size under three types of shocks to economies (node removal in descending, random, and ascending orders). The results showed that, except for the clustering coefficient, international pesticide trade networks are relatively robust under shocks to economies in ascending order but fragile under shocks to economies in descending order. By contrast, removing nodes with a clustering coefficient in ascending and descending order yielded similar robustness curves. Moreover, the structural robustness related to large component size evolved over time and exhibited an inverse U-shaped pattern. & COPY; 2023 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).