Global perspectives on environmental kuznets curve: A bibliometric review

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.

The evolution of the environmental Kuznets curve hypothesis assessment: A literature review under a critical analysis perspective

“…However, on the one hand, most of the articles that provide a comprehensive contextualization of the EKC literature are not focused on the EKC theoretical background or critical analysis, instead, they are focused on an empirical analysis [ 47 , 48 , 49 , 50 ]. On the other hand, articles focused on the evolution of the EKC literature use specific approaches to assess the EKC literature, such as meta- and bibliometric analysis [ 25 , 51 , 52 ], which provide the research areas on the subject, the author's contribution and most cited authors, journals that are publishing on the subject, and keywords used. Differentiated from these, the present review article is focused on providing an extensive and comprehensive contextualization of the EKC framework, the evolution of the literature, current analysis, and critical analysis that addresses gaps, issues, and improvement needs.…”

The role of OFDI in home-country pollution: insights from LMDI and 3SLS approaches

“…As a pioneer, they first revealed the inverted U-shaped curve relationship between average income and environmental pollution, known as the environmental Kuznets curve (EKC). Since then, studies have begun to explore the relationship between economic growth and environmental pollution (Ansari 2022 ; Anwar et al 2022 ). In the early stage of economic development, environmental pollution will worsen with the continuous negative impact of socio-economic activities.…”

A Bibliometric Study of Machine Learning in Biofilm

“…The objective of this study is to conduct a comprehensive bibliometric analysis of the use of ML in biofilm research to gain insights into the current state of the field [11]. Bibliometrics is a quantitative analysis of scientific publications that provides valuable insights into the structure, dynamics, and trends of a particular research area [12,13]. A bibliometric analysis of ML in biofilm research can identify the most influential publications, authors, and institutions in the field, as well as the most common research topics and trends [14].…”