Search

The increasing impact of anthropogenic activities on the environment has led researchers to conduct a comprehensive analysis of its determinants and propose sustainable solutions to mitigate the negative effects. Given the situation, the load capacity factor (biocapacity/ecological footprint) is used in this study as a comprehensive indicator of environmental sustainability that takes into account the supply-side consequences of ecological concerns while evaluating the theoretical dynamics of the Load capacity curve (LCC) in emerging countries. In doing so, the study employed the novel Method of Moment Quantile Regression (MMQR) to analyze the role of green innovation, green taxation, and economic growth under the LCC framework, from 2000 to 2018. The results affirm the presence of a U-shaped curve between environmental sustainability and income implying that growth may cause to harm the environment but after reaching a certain turning point it maintains the ecological quality. Also, green measures of taxation and innovation could curb carbon dioxide emissions at various quantiles for the selected bloc of countries. Noticeably, the LLC hypothesis is verified for both models establishing a positive association of determinants with load capacity factor. The results recommended policy implications for emerging countries seeking to promote sustainable economic growth while preserving the environment. [Display omitted] • This study analyzes the dual model to test environmental stability in emerging countries. • LCC theory has been validated by showing a U-Shaped relationship. • Green innovation and taxation have negative impact on CO 2 discharge. • Load capacity factor is positively influenced by green innovation and green taxation. [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]