Exploring the asymmetric effects of urbanization and trade on CO emissions: fresh evidence from Pakistan.

Over the past few decades, rapid or unplanned urbanization has been a major problem for developing countries, affecting the environment very badly. Pakistan is also the fifth most vulnerable country in terms of environmental impact from socio-economic activities. Mostly, this type of research has been conducted across countries.

Investigation of resource curse hypothesis: the role of renewable energy and urbanization in realizing environmental sustainability in China.

This research investigates the resource curse hypothesis and environmental sustainability by integrating China's natural resources, renewable energy, and urbanization. However, the EKC N shape describes the complete picture of the EKC hypothesis for the growth-pollution relationship. The findings of FMOLS and DOLS show that economic expansion positively drives carbon dioxide emissions in the beginning, then negatively so after the target level of growth is reached.

Impact of technology on the relation between disaggregated energy consumption and CO emission in populous countries of Asia.

All around the world, but particularly in developing nations, carbon dioxide emissions are on the rise, and climate change and global warming are brought on by an increase in CO emissions. This article provides an overview of the technological effect on energy consumption in the residential, transport, and industrial sector and its ultimate effect on the environment. Using the STIRPAT-Kaya-EKC model for the years 1990 to 2020, this study looked at the threshold impact of technological advancements on the link between disaggregated energy use and CO emissions for a panel of 10 Asian countries using the panel threshold regression.

Analyzing the Asymmetric Effect of Renewable Energy Consumption on Environment in STIRPAT-Kaya-EKC Framework: A NARDL Approach for China.

This study aims to analyze the asymmetric relation between renewable energy consumption and CO emissions in China using the STIRPAT-Kaya-EKC framework. To delve into the asymmetric effect of renewable energy consumption on the environment, the non-linear ARDL model is used. The results of this study confirm the asymmetric impact of renewable energy on the environment in the long run as well as in the short run.

ICT, renewable energy, financial development, and CO emissions in developing countries of East and South Asia.

This study aims to analyze the impact of ICT, renewable energy consumption, and financial development on CO emissions in selected developing countries of East and South Asia. Using panel data spanning 1985-2020, Pooled Mean Group (PMG) estimator is used to analyze the short-run and long-run effects. Results suggest that ICT and financial development positively contribute to the degradation of the environment in the long run, while their impact on CO emissions is insignificant in the short run.

The non-linear relationship between carbon dioxide emissions, financial development and energy consumption in developing European and Central Asian economies.

A sizeable amount of scholarly work has been done on different aspects of financial, economic, and environmental factors. In the present study, the nonlinearity is determined between financial development and carbon dioxide emissions in the long-run and short-run periods. According to the finding, the continued financial development initially increases the carbon dioxide emissions in the short and long run.