Testing the impact of renewable energy and oil price on carbon emission intensity in China's transportation sector

As the largest carbon emitter in the world, with its transportation sector contributing the largest shares of its emission, the need for a low-carbon transition economy has become a policy agenda for China because in order to reach carbon neutrality by 2050, lowering the intensity of carbon emissions in the transportation sector will be crucial. In this regard, we used the "bootstrap autoregressive distributed lag model" to explore the impact of clean energy and oil prices on the intensity of carbon emissions in China's transportation sector. The study found that an increase in oil prices decreases the intensity of carbon emissions in the short and long run. Similarly, an increase in the level of renewable energy and economic complexity declines the intensity of carbon emissions in the transportation sector. On the contrary, the research demonstrates that non-renewable energy contributes positively to carbon emission intensity. Therefore, the authorities must promote green technology to neutralize the transportation system's detrimental effects on China's environmental quality. The implications for successfully promoting carbon emission intensity mitigation in the transportation sector are examined in the conclusion.

Do financial development and renewable energy shocks matter for environmental quality: evidence from top 10 emitting emissions countries

Creating a reliable energy supply, ecological quality, and economic development has become a global effort. Finance is at the center stage ecological transition to low-carbon emission. Against this backdrop, the present work analyses the impact of the financial sector on CO₂ emissions using data from the top 10 emitting emissions economies from 1990 to 2018. Using the novel method of moments quantile regression, the findings illustrate that renewable energy usage enhances ecological quality while economic growth lowers it. The results also affirm that financial development is positively linked with carbon emission in the top 10 emitting emissions economies. These results can be explained by the fact that financial development facilities offer low borrowing rates with less restrictions for environmental sustainability projects. The empirical findings of this study highlight the necessity for policies that boost the proportion of clean energy consumption in the top 10 polluting nations' overall energy mix to reduce carbon emissions. It follows that the financial sectors in these nations must invest in cutting-edge energy-efficient technology and clean, green, and environmentally friendly initiatives. This trend will increase productivity, improve energy efficiency, and reduce pollution.

Climate change, insurance market, renewable energy, and biodiversity: double-materiality concept from BRICS countries

The threat of biodiversity loss and mass extinction of species with an aftermath will shape all lives now and those to come. In this context, recent empirical studies illustrate various drivers of biodiversity for better environmental quality; however, the impact of the insurance market has not been thoroughly examined. Likewise, the possible non-linearities between biodiversity and its determinants are ignored in the current empirical literature for BRICS economies. Therefore, this work is the first to explore the effect of the insurance market, climate change, and renewable energy on biodiversity in BRICS economies using an advanced method of the non-linear autoregressive distributed lag (NARDL) method. The findings illustrated that a decline in the insurance market alleviates biodiversity loss and stimulates environmental quality. In contrast, an increasing insurance market augments biodiversity loss and negatively affects ecological quality. Furthermore, the findings uncovered that carbon emissions are detrimental to environmental quality. Lastly, the results report that reducing the level of renewable energy worsens biodiversity loss while boosting renewable energy utilization declines biodiversity loss. The policymakers and regulatory authorities in the BRICS should adopt the risk-based approach proposed by the network of greening the financial system (NGFS) to tackle the dilemma of double materiality between financial institutions and biodiversity.

Natural resources, human capital, and CO2 emissions: Missing evidence from the Central Asian States

There are papers on association about natural resources, economic expansion, and their effect on the quality of the environment in Central Asia. However, no study has investigated the effect of human capital in this nexus concerning the Central Asian states. Thus this study investigates the link between natural resources, economic expansion, human capital, and CO2 in Central Asian states by employing Pooled Mean Group (PMG) and the Dumitrescu and Hurlin (DH) causality tests from 1995 to 2018. The outcomes from the PMG model showed that human capital has an opposite and significant association with CO2 in the short and long run. Therefore, it is stated that local human capital with higher environmental awareness through education and training makes a positive impact on environmental quality. With the growth of the natural resources index and expansion of the economy, Central Asian emissions will rise. With a positive and substantial coefficient of the natural resources, the finding suggests that, even though Central Asian states have plenty of natural resources, they are unable to exploit them efficiently to reap good rent advantages to reduce the emissions. The outcomes of the causality test stated that the index of natural resources, economic expansion, and human capital have one-way causality with emissions. The important policies and recommendations for maintaining the economic and environmental sustainability of this country are provided at the end of this paper.