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Cited by 25

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Unraveling the driving factors of the plastic waste trade network formation and dynamics

Liu, Fei, Fan, Chenlu, Li, Jinhui, Tan, Quanyin·2023·Journal of Environmental Management

Abstract

International trade of plastic waste promotes the global plastic circular economy and improves resource efficiency, but exacerbates the ubiquitous plastic pollution. Understanding the drivers behind the evolution of the global plastic waste trade network (GPWTN) is pivotal for developing new international instruments to end plastic pollution and fostering clean solid-waste trade. Employing social network analysis (SNA) and quadratic assignment procedure (QAP) model, this study structures the GPWTN using bilateral trade data, revealing shifts from highly centralized to cross-layered networks and relevant drivers. It is suggested that Malaysia and Turkey has become the new key recipients of the GPWTN, replacing China, accompanied by the launch of new environmental regulations in some countries. Transportation cost is the most critical factor for the formation of the GPWTN, followed by gaps in resource demand, bio-based resource availability, and transportation accessibility. Trading partners in closer proximity, especially those with contiguous borders, are more likely to trade in waste plastics, while coastal countries play an important role in these partnerships. Economies with more abundant biomaterials, higher incomes, and greater environmental burdens are more likely to be exporters, while economies with scarcer resources and more compelling demands are more likely to import plastic waste. Countries involved in the trade in plastic waste, as either importers or exporters,…

Overview

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Crossref · 10.1016/j.jenvman.2023.119422

Cites

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Citations

Cites

Show all 41 references

Research works printed but not linked: 4

  1. Abbas, 2022, Chapter 16 - Microcontaminants in wastewater, 315
  2. Akpa, 2022, Global trade: testing persistence in global shipping based on the liner shipping connectivity index (LSCI), S. E. Eur. J. Econ., 20, 127
  3. Khalil, 2022, Chapter 11 - household chemicals and their impact, 201
  4. Liu, 2007, QAP: a unique method of measuring “relationships” in relational data, Society, 27

Cited by

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Metadata

Authors
Liu, F., Fan, C., Li, J., & Tan, Q.
Venue
Journal of Environmental Management
Publisher
Elsevier BV
Published
2023-12
Volume
348
Pages
119422
ISSN
0301-4797
Cited by
25
References
41
Language
en
Funders
  • National Natural Science Foundation of China (72274105)
  • Ministry of Science and Technology of the People's Republic of China
  • China Postdoctoral Science Foundation (2021M701910, 2023T160377)
  • National Key Research and Development Program of China (2019YFC1904800)

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CoChat. (2026). Citation check: Unraveling the driving factors of the plastic waste trade network formation and dynamics. https://app.cochat.ai/papers/10.1016/j.jenvman.2023.119422
The paper
Liu, F., Fan, C., Li, J., & Tan, Q. (2023). Unraveling the driving factors of the plastic waste trade network formation and dynamics. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2023.119422

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.