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Analyzing the mechanism between nuclear energy consumption and carbon emissions: Fresh insights from novel bootstrap rolling-window approach

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  • Muhammad Irfan
  • Tomiwa Sunday Adebayo
  • Jinyang Cai
  • Hazar Dördüncü
  • Farrukh Shahzad

Abstract

This research utilizes a bootstrap rolling-window (BRW) causality test to explore the causal interrelationship between nuclear energy consumption (NUC) and carbon dioxide emissions (CO 2 ) in 6 developed countries from 1980 to 2020. When there are structural shifts in the full-sample time series, empirical research exploring causality between two-time series generates erroneous conclusions. On the other hand, the BRW method allows researchers to find potential time-varying causality between time series using sub-sample data. The outcomes of the BRW causality test disclosed the following results: (i) a unidirectional negative causality from NUC to CO 2 without feedback was found for Japan; (ii) a negative causality at sup-sample periods from NUC to CO 2 surfaced at the sub-sample period while a positive causality surfaced from NUC to CO 2 in sub-sample period for the United States of America (USA) and France; (iii) a negative feedback causality between NUC and CO 2 was found For Canada; (iv) a positive unidirectional causality surfaced from NUC to CO 2 was found for Germany, which implies that consumption of NUC worsens the environment in the sub-sampled period. The results may have policy consequences for the selected developed countries regarding NUC and CO 2 nexus.

Suggested Citation

  • Muhammad Irfan & Tomiwa Sunday Adebayo & Jinyang Cai & Hazar Dördüncü & Farrukh Shahzad, 2024. "Analyzing the mechanism between nuclear energy consumption and carbon emissions: Fresh insights from novel bootstrap rolling-window approach," Energy & Environment, , vol. 35(2), pages 754-778, March.
    • Handle: RePEc:sae:engenv:v:35:y:2024:i:2:p:754-778
    DOI: 10.1177/0958305X221133260
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