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Cited by 165Sustainable Supply Chain ManagementEnvironmental Sustainability in BusinessSustainability and Innovation in Business

Proposal of a Sustainable Circular Index for Manufacturing Companies

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Azevedo, Susana, Godina, Radu, Matias, João·2017·Resources
DOI 10.3390/resources6040063
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Abstract

Recently the circular economy has increasingly received attention worldwide due to the recognition that the security of the supply of resources and environmental sustainability are crucial for the prosperity of all the countries and businesses. G20 countries are stimulating the development of frameworks that enhance the circular economy and generally more sustainable production and consumption modes. In this context, this paper aims to suggest an index to assess the sustainability and the circularity of manufacturing companies. With this tenet, a Sustainable Circular Index (SCI) is proposed based on a five-phase framework. This index could support managers in assessing their level of sustainability and circularity and in implementing some practices that could improve the performances of their companies regarding these two topics. This index represents an important benchmarking tool for manufacturing companies to assess their sustainable and circular behavior and represents a guideline for managers.

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  • The concept offers a 20-45% potential resource reduction, calculated with the indicator utility, due to no need to produce new products.

    “20-45% potential resource reduction (calculated with indicator utility 1 ; due to no need to produce new products).”

    From Configuring New Business Models for Circular Economy through Product–Service Systems (2019) · cites this paper as Azevedo et al. [59]

    The “Characterization Calculation Unit of Measure” section describes a utility-during-use indicator and says that doubling a product’s lifetime would halve the virgin materials used per year for the linear portion of its flow. It does not give a 20–45% resource-reduction estimate or calculate one using that indicator, so the claimed range is unsupported. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

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References 127 · Cited by 165

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Authors
Azevedo, S., Godina, R., & Matias, J.
Affiliations
  • University of Beira Interior (PT)
  • University of Aveiro (PT)
Corresponding author
Azevedo, Susana
ORCID
Venue
Resources
Publisher
MDPI AG
Published
2017-11-10
Volume
6
Issue
4
Pages
63
ISSN
2079-9276 (ISSN-L)
DOI
10.3390/resources6040063
OpenAlex
W2767704273
Cited by
165
References
127
Citations by year
2026: 14 · 2025: 15 · 2024: 26 · 2023: 24 · 2022: 29 · 2021: 24 · 2020: 16 · 2019: 11 · 2018: 6
FWCI
17.94
Type
journal article
Language
en
Open access
Licence
Locations
  • Resources (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Centro de Estudos Avançados em Gestão e Economia
  • Fundação para a Ciência e a Tecnologia (01-0145, COMPETE, POCI-01-0145, POCI-01-0145-FEDER-, COMPETE_2020, POCI-01-, UID/ECO/04007/2013, POCI-01-0145-FEDER-007659, Grant UID/ECO/04007/2013)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
  • Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Sustainability and Innovation in Business
Keywords
circular economy, manufacturing companies, sustainability assessment, circularity assessment, benchmarking, sustainable production, resource security

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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