全球废物贸易的网络特性

IF 5.5 Q1 ENVIRONMENTAL SCIENCES Environmental and Sustainability Indicators Pub Date : 2025-02-01 Epub Date: 2024-12-09 DOI:10.1016/j.indic.2024.100550
Filippos K. Zisopoulos , Brian D. Fath , Xin Tong , Martin de Jong
{"title":"全球废物贸易的网络特性","authors":"Filippos K. Zisopoulos ,&nbsp;Brian D. Fath ,&nbsp;Xin Tong ,&nbsp;Martin de Jong","doi":"10.1016/j.indic.2024.100550","DOIUrl":null,"url":null,"abstract":"<div><div>The network properties of the global waste trade were assessed by using time series data of material and monetary flows between 2000 and 2022 from the online experimental database of Chatham House. More specifically, indicators from ecological network analysis and ascendency analysis were used to identity patterns which may not otherwise be directly identifiable, and to compare the network properties of the global waste trade to those of natural ecosystems. Focus was given on the distribution of monetary and material flows, on policy recommendations, and on future research avenues which we think are relevant for obtaining a more comprehensive understanding of socio-economic systems such as trade networks. This work provides a solid example of the application of network-based methods as an eco-mimicry approach for assessing the sustainability and fragility of socio-economic systems which can be of relevance to researchers and policy makers interested on transitions towards regenerative circular economies.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100550"},"PeriodicalIF":5.5000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network properties of the global waste trade\",\"authors\":\"Filippos K. Zisopoulos ,&nbsp;Brian D. Fath ,&nbsp;Xin Tong ,&nbsp;Martin de Jong\",\"doi\":\"10.1016/j.indic.2024.100550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The network properties of the global waste trade were assessed by using time series data of material and monetary flows between 2000 and 2022 from the online experimental database of Chatham House. More specifically, indicators from ecological network analysis and ascendency analysis were used to identity patterns which may not otherwise be directly identifiable, and to compare the network properties of the global waste trade to those of natural ecosystems. Focus was given on the distribution of monetary and material flows, on policy recommendations, and on future research avenues which we think are relevant for obtaining a more comprehensive understanding of socio-economic systems such as trade networks. This work provides a solid example of the application of network-based methods as an eco-mimicry approach for assessing the sustainability and fragility of socio-economic systems which can be of relevance to researchers and policy makers interested on transitions towards regenerative circular economies.</div></div>\",\"PeriodicalId\":36171,\"journal\":{\"name\":\"Environmental and Sustainability Indicators\",\"volume\":\"25 \",\"pages\":\"Article 100550\"},\"PeriodicalIF\":5.5000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental and Sustainability Indicators\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2665972724002186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/12/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental and Sustainability Indicators","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665972724002186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

利用英国皇家国际事务研究所(Chatham House)在线实验数据库中2000年至2022年的物质和货币流动时间序列数据,对全球废物贸易的网络特性进行了评估。更具体地说,利用生态网络分析和优势分析的指标来识别可能无法直接识别的模式,并将全球废物贸易的网络特性与自然生态系统的网络特性进行比较。重点是货币和物质流动的分配、政策建议以及我们认为与更全面地了解诸如贸易网络等社会经济系统有关的未来研究途径。这项工作提供了一个应用基于网络的方法作为生态模拟方法来评估社会经济系统的可持续性和脆弱性的坚实例子,这可能与研究人员和政策制定者对向再生循环经济过渡感兴趣有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Network properties of the global waste trade
The network properties of the global waste trade were assessed by using time series data of material and monetary flows between 2000 and 2022 from the online experimental database of Chatham House. More specifically, indicators from ecological network analysis and ascendency analysis were used to identity patterns which may not otherwise be directly identifiable, and to compare the network properties of the global waste trade to those of natural ecosystems. Focus was given on the distribution of monetary and material flows, on policy recommendations, and on future research avenues which we think are relevant for obtaining a more comprehensive understanding of socio-economic systems such as trade networks. This work provides a solid example of the application of network-based methods as an eco-mimicry approach for assessing the sustainability and fragility of socio-economic systems which can be of relevance to researchers and policy makers interested on transitions towards regenerative circular economies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
期刊最新文献
Factors explaining the diversification of livelihood strategies by households engaged in bivalve aquaculture in Thailand Sustainable initiatives-residents’ perceptions and behavior in Saudi Arabia Defining reference parameters of NISECI ecological index sub-metrics for freshwater fish community monitoring in the Emilia region Coupled relationship between net ecosystem productivity and atmospheric CO2 concentrations response to land use change in Central Yunnan Plateau The global landscape of planetary health: A bibliometric analysis over the last decade (2015-2024) since emergence
×
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学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
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