Studying the Evolution of the ‘Circular Economy’ Concept Using Topic Modelling

Sampriti Mahanty*, Frank Boons, Julia Handl, Riza Batista-navarro

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

3 Citations (Web of Science)

Abstract

Circular Economy has gained immense popularity for its perceived capacity to operationalise sustainable development. However, a comprehensive long-term understanding of the concept, characterising its evolution in academic literature, has not yet been provided. As a first step, we apply unsupervised topic models on academic articles to identify patterns in concept evolution. We generate topics using LDA, and investigate topic prevalence over time. We determine the optimal number of topics for the model (k) through coherence scorings and evaluate the topic model results by expert judgement. Specifying k as 20, we find topics in the literature focussing on resources, business models, process modelling, conceptual research and policies. We identify a shift in the research focus of contemporary literature, moving away from the Chinese predominance to a European perspective, along with a shift towards micro level interventions, e.g., circular design, business models, around 2014-2015.

Original languageEnglish
Title of host publicationINTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING (IDEAL 2019), PT II
EditorsH Yin, D Camacho, P Tino, AJ TallonBallesteros, R Menezes, R Allmendinger
PublisherSpringer, Cham
Chapter27
Pages259-270
Number of pages12
ISBN (Print)978-3-030-33616-5
DOIs
Publication statusPublished - 18 Oct 2019
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science
Volume11872
ISSN0302-9743

Keywords

  • CHINA
  • Circular economy
  • Concept evolution
  • INDUSTRIAL SYMBIOSIS
  • Topic modelling

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