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Cited by 190

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Understanding plastics pollution: The role of economic development and technological research

Barnes, Stuart J.·2019·Environmental Pollution

Abstract

Our world is awash with plastic. The massive increase in plastics production, combined with a shift to single-use, disposable plastics and widespread mismanagement of plastic waste, has created a huge "tragedy of the commons" (Hardin, 1968) in our oceans, seas and waterways. Plastics pollution is now a global externality that damages ecosystems, curtails biodiversity and ultimately has the potential to affect everyone on the planet. Although waste output is often modelled separately from environmental pollution in research, in the case of plastics, the waste problem has become one of global pollution. In this paper, we model the relationship between mismanaged plastic waste1 and income per capita for 151 countries, and for the first time find empirical support for the environmental Kuznets curve using plastics pollution data. Further, we find support for the hypothesis that a key instrument for reducing plastics pollution is investment in scientific and technological research. The paper concludes with a discussion of the results, limitations, and implications for future research and practice.

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Metadata

Authors
Barnes, S. J.
Venue
Environmental Pollution
Publisher
Elsevier BV
Published
2019-06
Volume
249
Pages
812-821
ISSN
0269-7491 (ISSN-L)
OpenAlex
W2925358904
Cited by
190
References
11
FWCI
5.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Understanding plastics pollution: The role of economic development and technological research. https://app.cochat.ai/papers/10.1016/j.envpol.2019.03.108
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Barnes, S. J. (2019). Understanding plastics pollution: The role of economic development and technological research. Environmental Pollution. https://doi.org/10.1016/j.envpol.2019.03.108

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.