Some Milestones for an Evolutionary-Institutional Approach to the Circular Economy Transition
Olivier Brette and
Nathalie Lazaric
Journal of Economic Issues, 2025, vol. 59, issue 2, 526-533
Abstract:
In the recent decades, circular economy (CE) has attracted increasing interest from public authorities, non-profit organizations, businesses and, more recently, scholars who have proposed a variety of approaches to the concept. This article aims to lay the foundations for an original framework for analyzing CE from the perspective of the evolutionary institutionalism pioneered by Thorstein Veblen. Evolutionary institutionalism is rooted in a systemic and multi-layered ontology. It employs the Darwinian triplet of variation, selection, and retention/replication (VSR) as a fruitful framework for analyzing evolving population systems. Building on this generalized Darwinism framework, the article argues that the transition from a linear economy to a (more) circular economy should be conceived primarily as a co-evolution between business firms and industry architectures. From this perspective, it suggests centering the analysis of the VSR processes of the CE transition on the notion of business model, defined as a system of organizational routines that structures interactions between the members of the firm and the social entities of its industrial environment.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/00213624.2025.2493560 (text/html)
Access to full text is restricted to subscribers.
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:mes:jeciss:v:59:y:2025:i:2:p:526-533
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/MJEI20
DOI: 10.1080/00213624.2025.2493560
Access Statistics for this article
More articles in Journal of Economic Issues from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().