Abstract
This study employs panel data from 1990 to 2020 for the G-7 countries (Canada, France, Germany, Italy, Japan, the UK, and the USA) and employs the examination of heterogeneous slope coefficients and cross-sectional dependence tests as preliminary steps before conducting cointegration analysis and second-generation unit-root tests. This study employs the method of movement quantile regression (MMQR) to analyze long-run and short-run relationships. The findings from the MMQR model indicate that economic growth and imports have a negative impact on consumption-based CO2 (CCO2) emissions, which worsens at higher quantiles. On the other hand, exports, energy efficiency, and renewable energy output (REO) have a positive effect on mitigating CCO2 emissions, with this effect becoming more pronounced at higher quantiles. Furthermore, the robustness of the results was confirmed through rigorous checks using quantile regression with optimized Markov Chain Monte Carlo techniques, which is a reliable non-parametric approach. These checks consistently demonstrated a significant impact on CCO2 emissions, thus validating the findings obtained from MMQR. Based on the outcomes, this study recommends that each G-7 nations should make efforts to regulate their CCO2 emissions by adopting measures that foster ecological equilibrium. Moreover, fostering export-driven sectors, exploring innovative strategies for REO, and improving energy efficiency are crucial measures for effectively tackling CCO2 emissions within the G-7 countries. The study highlights that renewable energy output (REO) and energy efficiency effectively mitigate CCO2 emissions at higher quantiles, suggesting the importance of policy measures supporting their development. Additionally, policies targeting import reduction, export promotion, and carbon pricing mechanisms emerge as strategies to curb emissions and foster sustainable development.
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Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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This paper is supported by the “National Natural Science Foundation of China (NSFC), no. 51874237, U1904210, 71273208.
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Bowen Luo: conceptualization, formal analysis, investigation, writing—original draft. Arshad Ahmad Khan: investigation, data curation, software, methodology, formal analysis, writing—review and editing. Xiaoming Wu: formal analysis, investigation, methodology, writing—review and editing, data curation. Hongxia Li: funding acquisition, project administration and supervision.
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Luo, B., Khan, A.A., Wu, X. et al. Navigating carbon emissions in G-7 economies: a quantile regression analysis of environmental-economic interplay. Environ Sci Pollut Res 30, 104697–104712 (2023). https://doi.org/10.1007/s11356-023-29722-z
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DOI: https://doi.org/10.1007/s11356-023-29722-z