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A visualization review analysis of the last two decades for environmental Kuznets curve EKC based on co-citation analysis theory and pathfinder network scaling algorithms

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 28, Issue 13, Pages 16690-16706

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-020-12199-5

Keywords

Environmental Kuznets curve (EKC); Bibliometric; Scientometric analysis algorithm; Co-citation; Visualization; CiteSpace

Funding

  1. College of Economics and Management, Northwest Agriculture and Forestry University from the project of National Natural Science Foundation of China NSFC [71773094]

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The Environmental Kuznets Curve (EKC) is a statistical tool widely used in energy and environmental economics studies to examine the relationship between economic growth and carbon emissions. This study conducted a scientometric analysis using CiteSpace on 2384 records from the Web of Science (WoS) references, spanning from 1999 to 2019, to visualize the knowledge map and outcomes in the field of EKC. The visualization results revealed the most influential studies, institutions, authors, countries, keywords, and category cloud in the research field of EKC, emphasizing the need for more attention on research aligned with green and sustainable technology science.
Environmental Kuznets curve (EKC) is a statistical tool to examine the cointegration and causality nexus between economic growth and carbon emissions. The EKC is widely used in energy and environmental economics studies. Although a large number of researchers have analyzed the EKC by applying different statistical models, some review work has been summarized to draw a pictorial view of extending studies in this research field. However, still, the macroscopic overview needs to be considered. Therefore, this study aims to contribute to the literature for finding a new pathway for further research employing, and to facilitate this research, scientometric analysis is carried out by feature in CiteSpace. The dataset was screened and found 2384 records out of 59,225 Web of Science (WoS) references, and the records for the timespan 1999-2019 was used to visualize the knowledge map and outcome of the scientific enterprise. The visualization results reveal the most influencing studies, institutions, authors, countries, keywords, and category cloud, in the research field of EKC. This article reveals that the research on EKC in alignment with green and sustainable technology science requires more attention. Further, this article would help authors and publishers make their decisions for the research of EKC and planning for future perspectives to contribute to academic development and applied methodology.

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