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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

Koondhar, Mansoor Ahmed and Shahbaz, Muhammad and Memon, Kamran Ali and Ozturk, Ilhan and Rong, Kong (2020): 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.

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Abstract

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, and 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 of screened 2384 records out of a total of 59225 Web of Science (WoS) references 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 paper reveals that the research on EKC in alignment with green and sustainable technology science requires more attention. Further, this paper 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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