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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dc.contributor.authorÖztürk, İlhan
dc.contributor.authorKoondhar, Mansoor Ahmed
dc.contributor.authorShahbaz, Muhammad
dc.contributor.authorMemon, Kamran Ali
dc.contributor.authorKong, Rong
dc.date.accessioned2021-02-19T12:16:44Z
dc.date.available2021-02-19T12:16:44Z
dc.date.issued2021en_US
dc.departmentMeslek Yüksek Okuluen_US
dc.description.abstractEnvironmental 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.en_US
dc.identifier.citationÖztürk, İlhan, Koondhar, Mansoor Ahmed, Shahbaz, Muhammad, Memon, Kamran Ali.(2021).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.en_US
dc.identifier.doi10.1007/s11356-020-12199-5
dc.identifier.endpage17en_US
dc.identifier.pmid33389469
dc.identifier.scopus2-s2.0-85098725475
dc.identifier.scopusqualityQ1
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12507/1544
dc.identifier.wosWOS:000604562700002
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSPRINGER HEIDELBERGen_US
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.relation.publicationcategoryTezen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEnvironmental Kuznets curve (EKC)en_US
dc.subjectBibliometricen_US
dc.subjectScientometric analysis algorithmen_US
dc.subjectCo-citationen_US
dc.subjectVisualizationen_US
dc.subjectCiteSpaceen_US
dc.titleA visualization review analysis of the last two decades for environmental Kuznets curve "EKC" based on co-citation analysis theory and pathfinder network scaling algorithms
dc.typeArticle

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