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RETRACTED ARTICLE: Do energy use and economic policy uncertainty affect CO2 emissions in China? Empirical evidence from the dynamic ARDL simulation approach

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This article was retracted on 14 March 2024

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Abstract

Global warming is currently the biggest problem. China is the world’s highest CO2 emitter. The Chinese authorities agreed to overcome global pollution per the current Paris treaty and have shown deep concern regarding global warming. Hence, policymakers are paying attention to economic policy uncertainty. Motivated by this issue, the study examines the effect of energy use, economic policy uncertainty, and economic growth on China’s CO2 emissions from 1970 to 2018 by employing a novel dynamic ARDL simulation model. The findings show that energy use and economic growth have statistically substantial long-run and short-run positive effects on CO2 emissions. However, economic policy uncertainty has a statistically insignificant effect on CO2 emissions, due to firms’ sustainability policies. Energy use can have valuable policy consequences, particularly for environmental sustainability. Therefore, based on the empirical findings, the crucial partnership and feedback on China’s carbon emission policy should be carried forward.

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Contributions

K. R. A. (Abbasi) has contributed to idea conceptualization of the study, design, analysis, and conclusion. Reviewed edited manuscript and approved the final submission.

F.F.A. (Adedoyin) conceptualizes the study, design, literature search, and conclusion. Reviewed the edited manuscript and approved submission.

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Correspondence to Kashif Raza Abbasi.

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The authors declare that there are no competing interests.

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The study obtained ethical approval from Shanghai University, School of Economics, Baoshan Campus, Shanghai, China.

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This article has been retracted. Please see the retraction notice for more detail:https://doi.org/10.1007/s11356-024-32887-w

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Abbasi, K.R., Adedoyin, F.F. RETRACTED ARTICLE: Do energy use and economic policy uncertainty affect CO2 emissions in China? Empirical evidence from the dynamic ARDL simulation approach. Environ Sci Pollut Res 28, 23323–23335 (2021). https://doi.org/10.1007/s11356-020-12217-6

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