Evidence map›Paper›PMID 34651268›Full record

ArticleEnvironmental science and pollution research international2022

Reinvestigating the Environmental Kuznets Curve (EKC) hypothesis by a composite model constructed on the Armey curve hypothesis with government spending for the US States.

Cem Işık, Serdar Ongan, Umit Bulut, Sahir Karakaya, Muhammad Irfan, Rafael Alvarado, Munir Ahmad, Abdul Rehman

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  9. Economic Growth and Environmental Quality: Analysis of Government Expenditure and the Causal Effect.International journal of environmental research and public health · 2022
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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

8 authors.

Cem IşıkFaculty of Tourism, Anadolu University, Tepebaşı, Eskişehir, Turkey. cemisik@anadolu.edu.tr.ORCID http://orcid.org/0000-0001-5125-7648
Serdar OnganDepartment of Economics, University of South Florida, Tampa, FL, 33620, USA.
Umit BulutFaculty of Economics and Administrative Sciences, Kirsehir Ahi Evran University, Kirsehir, Turkey.
Sahir KarakayaDepartment of Economics, Galatasaray University, İstanbul, Turkey.
Muhammad IrfanSchool of Management and Economics & Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, People's Republic of China.
Rafael AlvaradoEsai Business School, Universidad Espíritu Santo, 091650, Samborondon, Ecuador.
Munir AhmadSchool of Economics, Zhejiang University, Hangzhou, 310058, People's Republic of China.
Abdul RehmanCollege of Economics and Management, Henan Agricultural University, Zhengzhou, 450002, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reinvestigates the EKC hypothesis for US states with a new methodology that differs from all previous empirical studies using traditional EKC models. To this aim, this methodology, for the first time, unifies two seemingly different but strongly interrelated hypotheses (models), namely the Armey curve (AC) and traditional EKC models, into one single composite model. The rationale for creating this composite model is twofold. First, the functional propositions of these two hypotheses are depicted with inverted U-shaped curves. Second, they also have economically interrelated-causal relationships. This means that rising government spending (through the AC hypothesis) increases real GDP per capita (RGDPPC) and, consequently, increases in RGDPPC (through the EKC hypothesis) increase CO

Indexed as

Carbon DioxideEconomic DevelopmentGovernmentCarbon DioxideThe Armey curve hypothesisthe EKC hypothesis

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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.