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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Main Authors: Karunanithi, Kriskkumar, Bui, Wency Kher Thinng, Tan, Houng Chien
Format: Article
Published: John Wiley and Sons 2024
Online Access:http://psasir.upm.edu.my/id/eprint/114981/
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author Karunanithi, Kriskkumar
Bui, Wency Kher Thinng
Tan, Houng Chien
author_facet Karunanithi, Kriskkumar
Bui, Wency Kher Thinng
Tan, Houng Chien
author_sort Karunanithi, Kriskkumar
building UPM Institutional Repository
collection Online Access
description 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.
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spelling upm-1149812025-02-13T06:37:14Z http://psasir.upm.edu.my/id/eprint/114981/ Green gross domestic product: a bibliometric analysis Karunanithi, Kriskkumar Bui, Wency Kher Thinng Tan, Houng Chien 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. John Wiley and Sons 2024-12 Article PeerReviewed Karunanithi, Kriskkumar and Bui, Wency Kher Thinng and Tan, Houng Chien (2024) Green gross domestic product: a bibliometric analysis. Sustainable Development, 32 (6). pp. 6132-6143. ISSN 0968-0802; eISSN: 1099-1719 https://onlinelibrary.wiley.com/doi/10.1002/sd.3006 10.1002/sd.3006
spellingShingle Karunanithi, Kriskkumar
Bui, Wency Kher Thinng
Tan, Houng Chien
Green gross domestic product: a bibliometric analysis
title Green gross domestic product: a bibliometric analysis
title_full Green gross domestic product: a bibliometric analysis
title_fullStr Green gross domestic product: a bibliometric analysis
title_full_unstemmed Green gross domestic product: a bibliometric analysis
title_short Green gross domestic product: a bibliometric analysis
title_sort green gross domestic product: a bibliometric analysis
url http://psasir.upm.edu.my/id/eprint/114981/
http://psasir.upm.edu.my/id/eprint/114981/
http://psasir.upm.edu.my/id/eprint/114981/