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 id...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Environmental and Sustainability Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972724002186 |
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| author | Filippos K. Zisopoulos Brian D. Fath Xin Tong Martin de Jong |
| author_facet | Filippos K. Zisopoulos Brian D. Fath Xin Tong Martin de Jong |
| author_sort | Filippos K. Zisopoulos |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5a58edf1c76341ad9ac6bf4e77397f8f |
| institution | Kabale University |
| issn | 2665-9727 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environmental and Sustainability Indicators |
| spelling | doaj-art-5a58edf1c76341ad9ac6bf4e77397f8f2025-01-29T05:01:45ZengElsevierEnvironmental and Sustainability Indicators2665-97272025-02-0125100550Network properties of the global waste tradeFilippos K. Zisopoulos0Brian D. Fath1Xin Tong2Martin de Jong3Rotterdam School of Management, Erasmus University Rotterdam, the Netherlands; Integral Design & Management, Delft University of Technology, the Netherlands; Corresponding author. Rotterdam School of Management, Erasmus University Rotterdam, the Netherlands.Department of Biological Sciences, Towson University, Towson, USA; Advancing Systems Analysis Program, International Institute for Applied Systems Analysis, Laxenburg, Austria; Department of Environmental Studies, Masaryk University, Brno, Czech RepublicCollege of Urban and Environmental Sciences, Peking University, Beijing, ChinaRotterdam School of Management, Erasmus University Rotterdam, the Netherlands; Erasmus School of Law, Erasmus University Rotterdam, Rotterdam, the Netherlands; Institute for Global Public Policy, Fudan University, Shanghai, ChinaThe 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.http://www.sciencedirect.com/science/article/pii/S2665972724002186Circular economyResilienceRobustnessSustainabilitySustainable developmentWaste management |
| spellingShingle | Filippos K. Zisopoulos Brian D. Fath Xin Tong Martin de Jong Network properties of the global waste trade Environmental and Sustainability Indicators Circular economy Resilience Robustness Sustainability Sustainable development Waste management |
| title | Network properties of the global waste trade |
| title_full | Network properties of the global waste trade |
| title_fullStr | Network properties of the global waste trade |
| title_full_unstemmed | Network properties of the global waste trade |
| title_short | Network properties of the global waste trade |
| title_sort | network properties of the global waste trade |
| topic | Circular economy Resilience Robustness Sustainability Sustainable development Waste management |
| url | http://www.sciencedirect.com/science/article/pii/S2665972724002186 |
| work_keys_str_mv | AT filipposkzisopoulos networkpropertiesoftheglobalwastetrade AT briandfath networkpropertiesoftheglobalwastetrade AT xintong networkpropertiesoftheglobalwastetrade AT martindejong networkpropertiesoftheglobalwastetrade |