Affiliations 

  • 1 Department of Logistics and Forwarding, Széchenyi István University, Győr, 9026 Hungary
  • 2 Faculty of Sciences of Bizerte, University of Carthage, Tunis, Tunisia
  • 3 Faculty of Business and Accountancy, Department of Operations Management and Information System, University Malaya, 50203 Kuala Lumpur, Malaysia
  • 4 Department of Engineering and Mathematics, Sheffield Hallam University, Sheffield, UK
  • 5 Henley Business School, University of Reading, Greenlands, RG9 3AU Henley-on-Thames UK
Circ Econ Sustain, 2023;3(1):125-166.
PMID: 35818534 DOI: 10.1007/s43615-022-00189-3

Abstract

The circular economy (CE) field has recently attracted significant interest from academics and practitioners. CE represents a departure from the linear economy, which is characterised by unsustainable resource production and consumption. The growing number of publications necessitates a comprehensive analysis of this field. This is the first systematic examination of the knowledge base and knowledge diffusion pathways in the CE domain. We analyse a Web of Science dataset containing 5431 articles published between 1970 and 2020. To create a comprehensive review of the CE domain, we conducted a keyword co-occurrence network analysis. We examined four distinct types of main paths using the main path analysis (MPA) technique: forward, backward, global, and key-route. According to the analyses, CE research focuses on six primary research themes: CE and sustainability, bioeconomy, CE practices, lifecycle assessment and industrial symbiosis, construction activities, and waste management. In addition, the MPA demonstrates that the CE literature has recently focused on Industry 4.0 technologies and their contribution to CE. This is the first attempt to depict the genealogy of CE research so that scholars can comprehend the domain's evolutionary structure, identify hot topics, and capture the history, development status, and potential future directions of CE research.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.