The threats of climatic change on life, health, and the environment have been regarded by the joint consensus of scholars in the recent decades. With the advancement of global green development, green finance has paved the way for the government to respond to the challenges of climate change by providing mature financial services, appropriate financing, investment, and project funds related to environmental protection. In this context, green finance was proposed, and the relationship between green finance, renewable energy, and carbon emissions in the BRICS countries from 2000 to 2018 was further studied based on the quantile regression model. The presence of cross-sectional dependence in panel results is tested through CD and LM methods. The findings show the negative effect of green finance and non-fossil energy consumption on CO2 emissions. Furthermore, economic growth, trade openness, energy consumption, and foreign direct investment increase the CO2 emissions. Finally, the research results confirm that green finance is the best financial strategy to reduce carbon dioxide emissions.

Climate change mitigation (CCM) has not been mainly understood and assessed in the terms of carbon drifts persisting at provincial level of China, and to respond the question that how green financing is better financing option for CCM. Thus, our study intends to test the role of green finance on carbon drifts to manage for the mitigation of climate change. For this, unit root test and panel co-integration technique is applied. Study findings reported that the intricate connection between place-and-time-specific GHG emission reduction responsibilities is significant with 18% and the ‘production’, trading and consumption of carbon allowances with 21% and offsets across vast time-space stretches related carbon drift is significant with 19.5% for climate change mitigation. For such significance, green financing is found imperative indicators which is significant at 27.1% with carbon drifts, and mitigates the climate change with 31.3%, which is, relatively high than usual climate change control practices. Our study also provides detailed policy implication on this topicality for associated stakeholder.

Sustainable development places a premium on recognizing people at risk of energy poverty, defined as the incapability to get a sufficient level of residential energy services. Therefore, this study analyses the relationship between economic development and rural energy poverty in Chinese regions. Using statistics from the China Families Panel Studies, it is observed that the Great Chinese Drought increased the risk of living in poverty. We conclude that there is wide variation in China’s regions regarding economic liberalization and the country’s energy deprivation. In provinces with different degrees of poverty, there is an inverse U-shaped association between economic growth and the country’s energy poverty. The country’s energy poverty reduced or even eliminated by advancing economic development to a specific degree. Many socioeconomic indicators at the home level are connected with energy poverty in various ways depending on the dimension, implying that individualized criteria are required to classify vulnerable families in each size and country-level considerations.

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