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"Quantifying The Circularity of Regional Industrial Waste Across Multi-Channel Enterprises"

Schilkowski, C; Shukla, M; Choudhary, S

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Authors

C Schilkowski

S Choudhary



Abstract

Circular economy is a theoretical concept that is widely discussed in recent literature as a way to achieve increased sustainability. However, published literature focuses on how to increase circularity without analysing the status quo of circularity, which necessitates answering the question of how to measure the effectiveness of any actions implemented to advance Circular economy. Currently, there is no agreed methodology in literature on measuring the existing circularity. Therefore, this article proposes an analytical way to measure and map a regional waste economy’s circularity. The framework can be applied at a granularity of an individual materials level as well as overall at a regional level, and can quantify with a potential to improve towards a more circular economy in value as well as in volume. Data mining, conditioning, and, mathematical analysis was conducted across a number of public and private databases such as ORBIS and The Environment Agency. The proposed framework was tested taking a case of a region in the North East of England with 35,116 active companies. The methodology was validated on a different data set from another region. The results show that the methodology is able to measure a regional circularity overall as well as at an individual material level. The outcome of this research would be useful for policy makers as well as manufacturing organisations, and waste management companies as benchmarking allows a comparison between effectiveness of regional environmental regulations with their influence on driving sustainability and circular economy.

Citation

Schilkowski, C., Shukla, M., & Choudhary, S. (2020). "Quantifying The Circularity of Regional Industrial Waste Across Multi-Channel Enterprises". Annals of Operations Research, 290(1-2), 385-408. https://doi.org/10.1007/s10479-019-03168-4

Journal Article Type Article
Acceptance Date Feb 6, 2019
Online Publication Date Feb 15, 2019
Publication Date 2020-07
Deposit Date Mar 19, 2019
Publicly Available Date Feb 15, 2020
Journal Annals of Operations Research
Print ISSN 0254-5330
Electronic ISSN 1572-9338
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 290
Issue 1-2
Pages 385-408
DOI https://doi.org/10.1007/s10479-019-03168-4
Public URL https://durham-repository.worktribe.com/output/1305909

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