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Green energy policies have spread globally, as a means to promote societal transition towards more sustainable pathways of growth. In this framework, the European Union posed as a key actor, identifying the promotion of green energy policies as a cornerstone of all its strategies for green transition. While the literature has generally recognised the ongoing harmonisation process, still scant attention has been paid to the assessment of differentials in the diffusion of policies promoting various typologies of renewable energy sources. Moreover, the role of domestic factors tends to be overlooked. Based on these premises, the present research has aimed to study the role played by both policy diffusion mechanisms and adopting countries' characteristics for explaining the emulation of renewable energy policies. Our main results show that coercion enhances the likelihood of policy emulation, while the other mechanisms differently influence the policymaking process, based on the typology of renewable and on the level of development of the country. These results set the stage for relevant policy implications for promoting coordination and abatement of normative barriers existing among EU Member States. These recommendations become even more relevant given the unprecedented investments planned by the EU through the REpowerEU plan. [ABSTRACT FROM AUTHOR]

Given the global inclination of economies toward green solutions, the current study aims to explore the association between green energy transition, adjusted net saving, energy intensity, and carbon dioxide emission in China. To achieve this, a novel approach utilizing Wavelet analysis is employed to examine the dynamic association among these variables from 1979 to 2020. The analysis utilized continuous wavelet, wavelet coherence, and partial and multiple wavelet coherence techniques, offering a comprehensive understanding beyond the limitations of prior research by investigating the relationships over various time frames. The findings from the wavelet coherence analysis yielded intriguing insights, indicating that an increase in energy transition is likely to result in higher energy intensity and increased CO2 emissions. Surprisingly, the study observed a negative impact of adjusted savings on energy transition in the medium run, whereas in the long term, an increase in adjusted net savings was associated with higher carbon emissions in the Chinese economy. This highlights the intricate interplay between energy transition, adjusted savings, and environmental impacts, with different time scales playing a significant role in shaping these connections. Policymakers should carefully consider these dynamics to formulate effective strategies for sustainable development and carbon emission reduction in China. Furthermore, employing partial and multiple coherence analysis, the outcomes has demonstrated a strong interconnected correlations between energy intensity, green energy transition, CO2 emissions, and adjusted net savings across short-run, medium-run, and long-run time frequencies. Overall, the study concludes the positive link between energy and carbon emissions in China, while the effectiveness of the green energy transition remains vulnerable. The findings offer valuable insights for informed decision-making and policy implications, facilitating the adoption of appropriate measures to promote a greener and more sustainable future in China. • Study explores green energy transition, net saving, energy intensity, and CO 2 in China. • Advanced time-frequency based Wavelet analysis is used to analyze asymmetric relationships. • Energy transition is found to have positive link with CO 2 and energy intensity. • Net adjusted saving have positive effect on CO2 but negative on energy transition. [ABSTRACT FROM AUTHOR]