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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Green Economy in Southeast Asia: A Bibliometric Analysis and Future Research Directions

Authors: Muhammad Syariful Anam1*, Hastarini Dwi Atmanti2;

Green Economy in Southeast Asia: A Bibliometric Analysis and Future Research Directions

Abstract

This study aims to evaluate scholarly publications on the green economy (GE) in Southeast Asia and provide some suggestions for future research topics. The dataset used was obtained from Scopus, comprising 204 documents published in 108 reputable journals and authored by 675 scholars. Bibliometric methods were employed to analyze the data extracted from Scopus with the assistance of machine learning tools in RStudio and VOSviewer. Utilizing thematic map, trend topics, and bibliographic coupling approach, this research offers several suggestions for future research, including issues related to renewable energy, topics concerning sustainability of SMEs, the relationship between GE and circular economy, fields related to the implementation of green innovation, practices of green human resource management, and themes concerning the achievement of SDGs. This study solely focuses on documents published in Scopus-indexed journals, thus articles published in journals indexed by other databases are not considered.

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average