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The circular economy umbrella: Trends and gaps on integrating pathways

Open access
Homrich, Aline Sacchi, Galvão, Graziela, Abadia, Lorena Gamboa, Carvalho, Marly M.·2018·Journal of Cleaner Production

Abstract

Among scholars, politicians and practitioners, the term "circular economy" (CE) has become increasingly familiar, but the concept comes from different epistemological fields and there is still a lack of consensus and convergence in the literature. This paper investigates the trends and gaps on the pathways convergence of the circular economy literature. The research method is a combination of semantic analysis, bibliometrics, networks and content analysis in a systematic literature review. The sample is composed of 327 articles extracted from the Web of Science and Scopus database. The results point out the lack of consensus on terminologies and definitions, thus, based on semantic analysis, a definition is proposed. In addition, the literature shows two main clusters, with different backgrounds, of different leading research groups in distinctive geographic regions. One cluster focuses on ecoparks and industrial symbiosis, mostly in the context of China. The second cluster is concerned with supply chains, material closed loops and business models.

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Metadata

Authors
Homrich, A. S., Galvão, G., Abadia, L. G., & Carvalho, M. M.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2018-02
Volume
175
Pages
525-543
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2768891858
Cited by
810
References
8
FWCI
98.18
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The circular economy umbrella: Trends and gaps on integrating pathways. https://app.cochat.ai/papers/10.1016/j.jclepro.2017.11.064
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Homrich, A. S., Galvão, G., Abadia, L. G., & Carvalho, M. M. (2018). The circular economy umbrella: Trends and gaps on integrating pathways. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2017.11.064

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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.