Evidence map›Paper›PMID 41965412›Full record

ArticleScientific reports2026

Nuclear energy green growth and green innovation effects on ecological footprint in the top fifteen nuclear energy using countries.

Ilhan Ozturk, Betul Altay Topcu, Sevgi Sumerli Sarıgul, Mesut Dogan, Murat Cetin

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ilhan OzturkCollege of Business Administration, University of Sharjah, Sharjah, UAE. ilhan.ozturk@nisantasi.edu.tr.
Betul Altay TopcuDepartment of Marketing and International Trade, Vocational School of Social Sciences, Kayseri University, Kayseri, Turkey.
Sevgi Sumerli SarıgulDepartment of Marketing and International Trade, Vocational School of Social Sciences, Kayseri University, Kayseri, Turkey.
Mesut DoganDepartment of Banking and Finance, Vocational School of Bozüyük, Bilecik Şeyh Edebali University, Bilecik, Turkey.
Murat CetinDepartment of Economics, Faculty of Economics and Administrative Sciences, Tekirdag Namik Kemal University, Tekirdag, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent developments in the literature reveal that nuclear energy, as well as renewable energy, can be used to combat environmental degradation. However, it is a fact that this literature, which focuses on the relationship between nuclear energy and environmental degradation, does not include green growth and green innovation in environmental pollution models. In order to fill this gap in the literature, our study analyzes the nuclear energy-ecological footprint relationship by using 1994–2021 panel data of 15 leading countries in nuclear energy consumption and adding the variables in question to the empirical model. The long-term estimates are explored using the FMOLS, DOLS, and AMG estimators. The causality analysis is carried out by the Dumitrescu-Hurlin bootstrap causality procedure. In the long run, it is found that nuclear energy consumption, green growth, and green innovation improve environmental quality by mitigating the ecological footprint. Since natural resources and economic growth encourage the ecological footprint, they have a detrimental effect on environmental quality. Causality analysis points to unidirectional causality from nuclear energy consumption, green innovation, and natural resources to the ecological footprint. Additionally, a bidirectional causal linkage is detected between green growth, economic growth, and ecological footprint. The empirical findings obtained from the analysis can give important clues to the countries in question in the fight against environmental pollution. Especially in improving environmental quality, policymakers should focus on proposals focused on nuclear energy, green growth, and green innovation.

Indexed as

AMGEcological footprintGreen growthNuclear energyPanel bootstrap causality

Identifiers

PMID41965412
PMCPMC13230891

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