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This study aims to examine the links between carbon emissions, electric vehicles, economic growth, energy use, and urbanisation in 15 countries from 2010 to 2020.

This study adopts seminal panel methods of moments quantile regression with fixed effects to trace the distributional aspect of the relationship. The reliability of methods is confirmed via fully modified ordinary least squares coefficients.

This study reveals that fossil fuel use, economic activity, and urbanisation negatively impact environmental quality, whereas renewable energy sources have a significant positive long-term effect on environmental quality in the selected panel of countries.

The main limitation of this study is the generalisability of the findings, as the study is confined to a limited number of countries, and focuses on non-renewable and renewable energy sources.

Finally, this study proposes several policy recommendations for decision-makers and policymakers in the 15 nations to address climate change, boost sales of electric vehicles, and increase the use of renewable energy sources.

This study calls for a comprehensive transition towards green energy in the transportation sector, enhancing economic growth, fostering employment opportunities, and improving environmental quality.

The present study delves into the health inequalities between the two most socially deprived groups namely Scheduled Tribes (STs) and Scheduled Castes (SCs) in rural India.

This study used health-specific three rounds of National Sample Survey Office (NSSO) unit-level data for analyses. Probit model has been used to predict the differences in access to maternal healthcare services. Blinder–Oaxaca decomposition method is used to explore the inequality in health of rural population in India and assess the estimated relative contribution of socioeconomic and demographic factors to inequalities in maternal health.

The study establishes that STs women often perform poorly compared to SCs in terms of maternal health such as antenatal care, postnatal care and institutional delivery. Blinder–Oaxaca decomposition method shows that there exist health inequalities between STs and SCs women. Difference in household income contributes 21–34 percent and women's education 19–24 percent in the gap of utilization of maternal healthcare services between SCs and STs women. A substantial part of this difference is contributed by availability of water at home and geographical region. Finally, the study offers some policy suggestions in order to mitigate the health inequalities among socially marginalized groups of SCs and STs women in rural areas.

This study measures and explains inequalities in maternal health variables such as antenatal care, postnatal care and institutional delivery in rural India. Research on access to maternal healthcare facilities is needed to improve the health of deprived sections such as STs and SCs in India. The results of this study pinpoint the need for public health decision-makers in India to concentrate on the most deprived and vulnerable sections of the society. This study thus makes a detailed and tangible contribution to the current knowledge of health inequalities between the two most deprived social groups, i.e., SCs and STs.