Economic importance and structural robustness of the international pesticide trade networks

IF 5.4 2区 管理学 Q1 BUSINESS, FINANCE Journal of Management Science and Engineering Pub Date : 2023-08-04 DOI:10.1016/j.jmse.2023.06.002
Jian-An Li , Li Wang , Wen-Jie Xie , Wei-Xing Zhou
{"title":"Economic importance and structural robustness of the international pesticide trade networks","authors":"Jian-An Li ,&nbsp;Li Wang ,&nbsp;Wen-Jie Xie ,&nbsp;Wei-Xing Zhou","doi":"10.1016/j.jmse.2023.06.002","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":36172,"journal":{"name":"Journal of Management Science and Engineering","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Management Science and Engineering","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2096232023000446","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
国际农药贸易网络的经济重要性和结构稳健性
农药是农业投入品,可以显著减少产量损失,调节植物生长,有效解放农业生产力,提高粮食安全。通过国际贸易的再分配,确保了全球经济中农药的可获得性,不同的经济体在这一过程中发挥着不同的作用。在这项研究中,我们使用9个节点指标来衡量和排名经济的重要性。结果表明,聚类系数与其他8个节点指标呈负相关,而其他8个节点指标之间呈正相关,可归为3个群落(betweness;in-degree, PageRank,权威和亲密度;向外度,轮毂和向外闭合)。我们进一步研究了在三种类型的经济冲击(节点按降序、随机和升序移除)下,以大组件规模为代表的国际农药贸易网络的结构稳健性。结果表明,除聚类系数外,国际农药贸易网络在上行经济体冲击下相对稳健,在下行经济体冲击下相对脆弱;相比之下,去除聚类系数按升序和降序排列的节点得到了相似的鲁棒性曲线。此外,与大部件尺寸相关的结构稳健性随着时间的推移而进化,并呈现出反u型模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Management Science and Engineering
Journal of Management Science and Engineering Engineering-Engineering (miscellaneous)
CiteScore
9.30
自引率
3.00%
发文量
37
审稿时长
108 days
期刊介绍: The Journal of Engineering and Applied Science (JEAS) is the official journal of the Faculty of Engineering, Cairo University (CUFE), Egypt, established in 1816. The Journal of Engineering and Applied Science publishes fundamental and applied research articles and reviews spanning different areas of engineering disciplines, applications, and interdisciplinary topics.
期刊最新文献
Welfare Analysis with Uncertain Market Segment Proportions Can Smart Transportation Reduce Carbon Emission Intensity? - An Empirical Study from Macro and Micro Perspectives in China Mobile Telecommunication Companies’ Investment and Pricing Strategies for Content Service Should Competing Sellers Adopt the Data Analytics Service to Enable Product Improvement in Online Marketplace Portfolio optimization based on network centralities: Which centrality is better for asset selection during global crises?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1