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The global warming issue arises from climate change, which draws scientists' attention toward cleaner energy sources. Among clean sources, renewables and nuclear energy are getting immense attention among policymakers. However, the significance of nuclear energy in reducing CO 2 emissions has remained ambiguous, necessitating further research. Therefore, the present study draws impetuous attention to the United Nations Sustainable Development Goals-7 (affordable clean energy) & 13 (climate change mitigation) by looking at the relationship between energy mix (fossil fuels, renewables, and nuclear), economic growth, technological innovation, and CO 2 emissions in Mexico from 1980 to 2019 using the autoregressive distributed lag (ARDL) model. In addition, to assess the direction of causality, this study applied wavelet techniques and spectral causality. The findings affirm that renewable and nuclear energy use and technological innovation tend to curb CO 2 emissions, whereas fossil fuel consumption and economic expansion trigger CO 2 emissions. The study lends support to the environmental Kuznets curve (EKC) phenomenon in Mexico. The FMOLS and DOLS tests show that our long-run estimates are reliable. In different time scales, the wavelet coherence result is also consistent. Finally, the results of the spectral causality approach demonstrate a significant causal association between the variables tested at various frequencies. As a result, in order to achieve SDGs 7 and 13 and support an environmentally friendly ecosystem, Mexico's energy mix must be changed to renewables and nuclear., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

India is predominantly a fossil fuel-intensive South Asian country that has traditionally settled for higher economic gains at the expense of lower environmental quality. However, in the contemporary era, it has become essential for India to come up with viable solutions that can enable the nation to transform its economy into a low-carbon one. Although replacing fossil fuel use with renewable energy sources is assumed to be the ideal pathway to decarbonizing the Indian economy, achieving this clean energy transition involves a long-term process. Thus, the Indian government should rather consider adoption of interim solutions to the environmental pollution problems faced by the nation. Against this backdrop, this study looks at whether enhancing the consumption level of liquefied petroleum gas, a relatively cleaner fossil fuel, can help India reduce its carbon dioxide emissions figures and attain environmentally sustainable economic growth. The econometric analysis is designed as per the theoretical framework of the environmental Kuznets curve hypothesis whereby the effects of economic growth on carbon dioxide emissions are examined controlling for liquefied petroleum gas consumption in the context of India between 1990 and 2018. Based on the findings from the autoregressive distributed lag model bounds test analysis, it is witnessed that there are long-run cointegrating relationships among per capita levels of carbon dioxide emissions, real gross domestic product, and liquefied petroleum gas consumption of India. Besides, the environmental Kuznets curve hypothesis is found to be valid only in the short run; however, it does not sustain in the long run since the economic growth-carbon dioxide emissions nexus is observed to follow a U-shaped relationship in the long run. Moreover, higher liquefied petroleum gas consumption is found to boost carbon dioxide emissions in the short run while reducing it in the long run. Furthermore, the findings from the wavelet and partial wavelet coherence and causality analyses also advocate in favor of promoting the use of liquefied petroleum gas in India in order to significantly curb the energy use-related carbon dioxide emission figures of the nation. Hence, considering these important findings, this study recommends that the Indian government should design policies for augmenting liquefied petroleum gas into the national energy mix and also adopt relevant green economic growth strategies in order to facilitate environmentally-sustainable growth of its economy., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

While the replacement of anthropogenic drivers of environmental degradation with green initiatives is increasingly becoming critical for achieving sustainable development goals (SDGs), the lack of clear understanding of the heterogeneity in relationship with ecological indicators is creating roadblocks to the implementation of efficient policy measures. In this study, the heterogeneous effects of energy transition, technological innovation (TI), globalization (GLOB), and environmental tax (ETAX) on ecological footprint (EF) for G7 economies are analyzed from 1994 to 2020. The robust method of moments quantile regression (MMQreg) is utilized to observe the various level of impact across multiple quantiles. The results highlight the statistically significant positive impact of non-renewable energy (NRE) on EF, while a significant negative effect of other independent variables is observed with varying levels across quantiles. The study's outcome upholds the accelerated adoption of renewable energy (RE) and TI, whereby environmental tax significantly contributes to restricting the malpractice of ecological degradation. Furthermore, the (Dumitrescu and Hurlin, 2012) [1] causality result revealed a unidirectional causal relationship between NRE and GLOB to ecological footprint. While a bi-directional causality exists between RE, TI, and ETAX to ecological footprint. The unique insight from the analysis helps in formulating important policy recommendations, which are then discussed in the final section. [Display omitted] [ABSTRACT FROM AUTHOR]

The current era of industrial development and innovation is revolutionized using the internet, robotics, and artificial intelligence. Nevertheless, the appraisal of global economic progress shows increasing trends, there are environmental degradation issues associated with this improvement. The role of renewable energy, urbanization and foreign direct investment received a lot of attention in the literature on environmental issues, however, the simultaneity with information communication technology is missing. Therefore, the present study used data from 10 emerging countries during 1996–2015 and applied the novel Method of Moments Quantile Regression to analyze the nexus among the variables. Further, we applied the second-generation unit root test, and Driscoll Kraay standard errors to reach robust results. The findings revealed an inverted U-shape relationship between economic growth and environmental degradation; thus, the validity of the Environmental Kuznets Curve is revealed. Moreover, foreign direct investment is significant and positive at 0.05th-0.50th quantiles, however, it becomes insignificant at higher quantile levels. Urbanization enhances while renewable energy mitigates carbon dioxide emissions at all quantile levels. Information communication technology proxied by internet usage reduces environmental degradation significantly at 0.25th-0.95th quantile levels. Results of the study suggest insights for the policymakers to mitigate carbon dioxide emissions through encouraging renewable energy and internet use. [ABSTRACT FROM AUTHOR]