Wheels Within Wheels: Mapping the Genealogy of Circular Economy Using Machine Learning

M. Hachaichi and Sébastien Bourdin ()
Additional contact information
M. Hachaichi: UGA - Université Grenoble Alpes
Sébastien Bourdin: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

Post-Print from HAL

Abstract: The literature on circular economy (CE) is growing significantly. Although the concept emerged in the 1970s, it is only very recently that it has gained interest in the scientific community. However, little is known about its genealogy, how the international community was formed, and how concepts were approached and developed by mobilizing different theoretical approaches, especially in humanities and social sciences. This study fills this gap by shedding light on the recent developments in the field from a regional perspective. We used computer-assisted methods (natural language processing, topic modeling, geoparsing, scientometrics, and computational linguistics) on textual data to capture the field's framework evolution, highlight main topics, identify key drivers, map the geography of knowledge production, and scrutinize the numerous types of the spatial proximities waved between its actors. To our knowledge, this is the first attempt to trace the geographic genealogy of CE using large-scale textual data to produce in-depth knowledge regarding the spatiotemporal genesis of the field by unpacking how closed-loop systems are analyzed across regions, worldwide. \textcopyright 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Keywords: Big literature; Circular economy; Geoparsing; Machine learning; Natural language processing (search for similar items in EconPapers)
Date: 2023-03-20
References: Add references at CitEc
Citations:

Published in Circular Economy and Sustainability, 2023, 3 (4), pp.2061-2081. ⟨10.1007/s43615-023-00260-7⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04435470

DOI: 10.1007/s43615-023-00260-7

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().