Global Perspectives on Environmental Kuznets Curve: A Bibliometric Review
Muhammad Azfar Anwar,
Qingyu Zhang,
Fahad Asmi,
Nazim Hussain,
Auke Plantinga,
Muhammad Wasif Zafar and
Avik Sinha
MPRA Paper from University Library of Munich, Germany
Abstract:
The environmental Kuznets curve (EKC) explains the dynamics associated with income and environmental quality. This study utilizes bibliometric analysis and data visualization techniques and empirically determines the tendencies and patterns in the EKC literature. Furthermore, the study explains intellectual structure, construct development, evolution, collaborations, and research clusters within the EKC research domain during the last two decades, from 2000 to 2020. The study empirically analyzes 2,218 articles and 55,051 references from 328 journals, 4,146 authors, 99 countries, and 50 subject categories. The study used co-citation analysis to examined the noticeable research articles, journals and authors’ contribution. Moreover, the co-occurrence analysis examined the prominent countries, institutions and keywords in the concerned literature. Most studies in EKC domain focus on developing regions facing the dual challenge of growth and environmental sustainability. The current initiative categorizes the EKC knowledge domain into major research areas with the help of different clusters namely causality analysis, non-renewable energy, energy consumption, the EKC, and industrial pollution. The study further discusses emerging trends that provide future research fronts and intellectual development within the EKC framework.
Keywords: Environmental Kuznets curve; bibliometrics; carbon emissions; bibliographic coupling (search for similar items in EconPapers)
JEL-codes: Q5 (search for similar items in EconPapers)
Date: 2021, Revised 2021
New Economics Papers: this item is included in nep-ene and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:110944
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