Green gross domestic product: A bibliometric analysis

Green gross domestic product (GGDP) is a measure of economic performance that takes into account environmental aspects. This paper analyses the bibliographic data of 1321 articles retrieved from the Scopus database to shed some light on the GGDP literature for the past 47 years (1976–2022). Using VO...

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Bibliographic Details
Published in:Sustainable development (Bradford, West Yorkshire, England) West Yorkshire, England), 2024-12, Vol.32 (6), p.6132-6143
Main Authors: Karunanithi, Kriskkumar, Bui, Wency Kher Thinng, Tan, Houng Chien
Format: Article
Language:English
Subjects:
Analysis
bibliometric analysis
Bibliometrics
Citation analysis
Citations
Climate change
Cluster analysis
Corporate governance
co‐citation analysis
co‐occurrence analysis
Economic performance
environmental accounting
Environmental aspects
GDP
green GDP
green national accounting
Gross Domestic Product
Mapping
Social interactions
Social sciences
Sustainable development
Systematic review
Citations: Items that this one cites
Online Access:Get full text
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Summary:Green gross domestic product (GGDP) is a measure of economic performance that takes into account environmental aspects. This paper analyses the bibliographic data of 1321 articles retrieved from the Scopus database to shed some light on the GGDP literature for the past 47 years (1976–2022). Using VOSviewer, a combination of performance analysis (publication trend, top authors, top countries, top journals) and science mapping techniques (co‐citation and co‐occurrence) were employed. The co‐citation analysis reveals three thematic clusters, namely: (1) political and social science dimensions of social and environmental reporting, (2) environmental disclosures, and (3) systematic review of social and environmental accounts. The co‐occurrence analysis indicates a trend towards climate change and corporate governance, with a notable shift in focus from European and Eurasian countries to China. More importantly, this study offers valuable insights into the growing body of literature on GGDP, while emphasising the need for greater geographical representation and collaboration to advance the field.
ISSN:0968-0802
1099-1719
DOI:10.1002/sd.3006