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. 2022;24(1):1031-1047.
doi: 10.1007/s10668-021-01481-2. Epub 2021 May 5.

Conceptual evolution of the bioeconomy: a bibliometric analysis

Benoit Mougenot  1 , Jean-Pierre Doussoulin  2   3
Affiliations

Conceptual evolution of the bioeconomy: a bibliometric analysis

Benoit Mougenot et al. Environ Dev Sustain. 2022.

Abstract

The growing concern over the change in climatic conditions and the management and conservation of biological resources makes it necessary to create models suitable for the sustainable management of these resources. The bioeconomy suggests a model based on the production of renewable biological resources and the conversion of these resources into value-added products. The main aim of this article is to assess the impact of the bioeconomy on the scholar. This manuscript also aims to continue and update this discussion of public policies oriented toward a bioeconomy. This research follows a computed analysis based on the R package using Biblioshiny, a web interface for Bibliometrix analysis; this approach offers a positive alternative for studying bioeconomic literature in the traditional bibliometric analysis. This is one of the first research which analyzes the literature pathways of the bioeconomy issue using a computational analysis. Our article concludes that the principles of the bioeconomy have a strong potential to address these related challenges to manage and maintain the environment.

Keywords: Bibliometric analysis; Bioeconomics; Environment.

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Conflict of interest statement

Conflict of interestThe authors declare no conflict of interest or competing interest.

Figures

Fig. 1
Fig. 1
Bioeconomy processes systematized
Fig. 2
Fig. 2
Research methodology
Fig. 3
Fig. 3
Evolution of the number of articles (1999–2018). Source: Scopus/Biblioshiny
Fig. 4
Fig. 4
Most relevant sources in the field of Bioeconomy. Source: Scopus/Biblioshiny
Fig. 5
Fig. 5
Country collaboration map. Source: Scopus/Biblioshiny
Fig. 6
Fig. 6
Co-citation network. Source: Scopus/Biblioshiny
Fig. 7
Fig. 7
Evolution of authors’ keywords in the bioeconomy literature. Source: Scopus/Biblioshiny
Fig. 8
Fig. 8
Author keywords co-occurrence network in the bioeconomy literature. Source: Scopus/Biblioshiny
Fig. 9
Fig. 9
Relationships between author keywords (left), authors (middle), and source (right). Source: Scopus/Biblioshiny
Fig. 10
Fig. 10
Evolution of trend topics
See this image and copyright information in PMC

References

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    1. Aria M, Cuccurullo C. Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics. 2017;11(4):959–975.
    1. Arujanan M, Singaram M. The biotechnology and bioeconomy landscape in Malaysia. New Biotechnology. 2018;40:52–59. - PubMed
    1. Bambo TL, Pouris A. Bibliometric analysis of bioeconomy research in South Africa. Scientometrics. 2020;125(1):29–51.

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