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Investigating the inverted N-shape EKC in the presence of renewable and nuclear energy in a global sample

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Abstract

A major concern for the modern world is to deal with environmental issues without compromising on economic growth targets. Energy use from renewable and nuclear sources offers a solution to this issue. Therefore, the present study is an attempt to examine the nexus between disaggregated energy consumption, economic growth and carbon dioxide emissions. To this end, a sophisticated econometric technique proposed by Machado and Silva (J Econom 213:145–173, 2019. https://doi.org/10.1016/j.jeconom.2019.04.009) is used for a sample of 107 countries during 1996–2014. For robustness analysis, fixed and random effect with Driscoll Kraay standard errors model is used. The findings revealed an inverted N-shape EKC showing that nuclear and renewable energy alleviate pollution while non-renewable energy enhances it. Interestingly, the impact of nuclear and renewable energy is stronger at lower quantiles than at higher ones. Findings highlight the need for promoting nuclear and renewable energy to combat environmental challenges. Therefore, an adequate plan promoting the use of renewable energy should be established to ensure successful energy transition and reap its benefits in terms of economic development and environmental protection. In addition, important policy implications are suggested based on the findings of the study.

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Data availability

The datasets generated during and/or analyzed during the current study are available in the World Bank repository, https://databank.worldbank.org/source/world-development-indicators.

Abbreviations

HDI:

Human development index

2SLS:

Two-stage least square

TO:

Trade openness

ARDL:

Autoregressive distributed lag approach

URB:

Urbanization

ED:

Economic development

EC:

Environmental conservation

EKC:

Environmental Kuznets curve

ENC:

Energy consumption

FD:

Financial development

FMOLS:

Fully modified least squares

CCR:

Canonical cointegrating regression

MMQR:

Method of moments quantile regression

USA:

United States of America

OECD:

Organization for Economic Co-Operation and Development

RENE:

Renewable energy

GDP:

Gross domestic product

NRENE:

Nonrenewable energy

B&R:

Belt and road initiative

GDP2 :

GDP square

GDP3 :

GDP cube

FE-OLS:

Fixed effect OLS

ECG:

Economic growth

NUCE:

Nuclear energy

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Funding

No funding was received for this study.

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Authors and Affiliations

Authors

Contributions

KRA: Conceptualization, Writing- Original draft preparation: AA Data curation, Methodology, Software, Validation. AB: Visualization, Investigation. Supervision.: SR: Writing- Original draft preparation TPB: Writing- Reviewing and Editing.

Corresponding author

Correspondence to Ashar Awan.

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The authors declare no competing interests.

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The authors declare they have no competing interests.

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Abbasi, K.R., Awan, A., Bandyopadhyay, A. et al. Investigating the inverted N-shape EKC in the presence of renewable and nuclear energy in a global sample. Clean Techn Environ Policy 25, 1179–1194 (2023). https://doi.org/10.1007/s10098-022-02436-5

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  • DOI: https://doi.org/10.1007/s10098-022-02436-5

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