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Cited by 369

The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.

Theoretical contribution of industrial ecology to circular economy

Open access
Saavedra, Yovana M.B., Iritani, Diego R., Pavan, Ana L.R., Ometto, Aldo R.·2018·Journal of Cleaner Production

Abstract

Circular Economy (CE) currently represents a viable option for countries, governments, academia and society to transform the linear and semi-circular materials and energy flows into circular flows and obtain better sustainable benefits. In this sense, Industrial Ecology (IE) with its tools can assist in the transition to CE. Therefore, the main goal of this paper is to present the theoretical contribution of IE to CE. The methodology used was based on bibliometric analysis in the international context. With regard to the bibliometric analyses, we have identified that the evolution of CE would not be possible without the existence of IE concepts and tools, especially with tools such as Industrial Symbiosis (IS) and Eco-Industrial Parks (EIPs). Furthermore, three levels of IE contribution to CE were identified, such as: conceptual, technical and policy aspects. Finally, new CE based researches from an IE perspective with bibliometric analysis and with co-citation networks are possible, including, solid waste management and policies.

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Metadata

Authors
Saavedra, Y. M. B., Iritani, D. R., Pavan, A. L. R., & Ometto, A. R.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2018-01
Volume
170
Pages
1514-1522
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2758871915
Cited by
369
References
76
FWCI
29.09
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Theoretical contribution of industrial ecology to circular economy. https://app.cochat.ai/papers/10.1016/j.jclepro.2017.09.260
The paper
Saavedra, Y. M. B., Iritani, D. R., Pavan, A. L. R., & Ometto, A. R. (2018). Theoretical contribution of industrial ecology to circular economy. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2017.09.260

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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.