Evidence map›Paper›PMID 33389469›Full record

ArticleEnvironmental science and pollution research international2021

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.

Mansoor Ahmed Koondhar, Muhammad Shahbaz, Kamran Ali Memon, Ilhan Ozturk, Rong Kong

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  7. What drives low-carbon agriculture? The experience of farms from the Wielkopolska region in Poland.Environmental science and pollution research international · 2022
    Article
  8. Article
  9. Long-run equilibrium relationship between energy consumption and COEnvironmental science and pollution research international · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mansoor Ahmed KoondharCollege of Economics and Management, Northwest A&F University, Yangling, Xianyang, 712100, China.
Muhammad ShahbazEconomics Center for energy and Environmental Policy of Research, Beijing Institute Technology, Beijing, 100081, China.
Kamran Ali MemonDepartment of Electronics Engineering, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Pakistan.
Ilhan OzturkFaculty of Economics and Administrative Sciences, Cag University, Mersin, Turkey.
Rong KongCollege of Economics and Management, Northwest A&F University, Yangling, Xianyang, 712100, China. kr1996@163.com.

Funding

National Natural Science Foundation of China 71773094
6 · The paper itself

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, 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.

Indexed as

Carbon DioxideEconomic DevelopmentAlgorithmsCarbonTechnologyCarbonCarbon DioxideBibliometricCiteSpaceCo-citationEnvironmental Kuznets curve (EKC)Scientometric analysis algorithmVisualization

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.