Exploring the asymmetric effects of urbanization and trade on CO2 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. So, this study intends to analyze the role of urbanization in energy consumption, economic growth, trade, and technology in carbon emissions by evaluating data from 1985 to 2021 in the context of Pakistan. Autoregressive distributed lag (ARDL) and non-linear autoregressive distributed lag (NARDL) with Granger causality assessment are employed to experimentally examine the variables' short and long-term associations. The ARDL result demonstrates that carbon dioxide (LCO2) emissions are increased by energy consumption (LEC) and technology (LTech), while they are decreased by economic growth (LEG) and trade (LT). In NARDL, rising and falling urbanization (LU) lead to increased carbon emissions, but insignificantly. Ascending LEC leads to increased emissions, whereas descending LEC leads to reduced emissions in the context of short and long-term asymmetry. Yet, the opposite is true in the case of trade: a rise in LT decreases emissions significantly, whereas a fall in LT increases emissions insignificantly. This paper highlights the importance of international trade for a country facing these challenges. This means that LT is at the forefront of emission-reducing technology. A Granger causality analysis results show that LU and LTech are two critical determinants of LCO2 emissions. Diagnostic tests ensure the model's reliability, ensuring that it could potentially be used without adverse intent. The research concludes that in order to minimize carbon dioxide emissions, the government should encourage the adoption of low-carbon technology through international trade (the exchange or import of low-carbon products) and implement policies tailored to urbanization and energy demand.

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. Continuing economic expansion in China does not maintain the intended level and again has a beneficial impact on the country's carbon dioxide emissions. However, the EKC U, inverted U, and N shapes persist in the growth-pollution connection over the long term. Although adopting renewable energy and urbanization help reduce carbon dioxide emissions, the formation of fixed capital worsens environmental conditions. Natural resource rents are a major cause of environmental degradation and the resource curse that has plagued China. Economic growth, as well as its square and cube, has a causal effect on CO2 emissions, as shown by the frequency domain causation. Carbon dioxide emissions at frequencies of 0.05, 1.50, and 2.50 are momentarily predicted by the use of renewable energy and urbanization. The investigation recommends switching to renewable energy sources owing to low cost and the potential to limit the overuse of non-renewables. To balance the overdo of natural resources and ensure continued long-term growth-environment sustainability, technological advancement is recommended as a countermeasure as a mitigating mechanism.

Impact of technology on the relation between disaggregated energy consumption and CO2 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 CO2 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 CO2 emissions for a panel of 10 Asian countries using the panel threshold regression. Findings demonstrate that the EKC phenomenon is present in the chosen Asian region. Findings also suggest that technology has a threshold influence on the relationship between energy use and carbon emissions; however, this effect varies across sectors.

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 CO2 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. However, the negative shocks to renewable energy have a greater detrimental influence on the environment than the benign effect due to the positive shock to renewable energy. Population growth affects the environment in the short run, whereas technology only affects environment quality in the long run. Moreover, the study supports the EKC theory in China. This research emphasizes that the administration can improve the economy's lifespan by allocating substantial funds to establish legislation to maintain a clean environment by subsidizing renewable energy infrastructure and research and innovations for low-carbon projects.

ICT, renewable energy, financial development, and CO2 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 CO2 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 CO2 emissions is insignificant in the short run. On the other hand, renewable energy consumption affects environmental quality positively in both the long run and short run. It is also examined that economic growth affects CO2 emissions positively but the squared economic growth reduces CO2 emissions which validates inverted U-shaped EKC hypothesis. The empirical findings of the Granger Causality test suggest unidirectional causality from ICT and financial development to CO2 emissions, while a bi-directional relationship is found among renewable energy and CO2 emissions. Results imply that governments in these countries need to invest in renewable energy to control environmental degradation.

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. Simultaneously, the square term of financial development reduces carbon dioxide emissions and proves the inverted U-shaped hypothesis in the short and long periods. The consumption of fossil fuels produces carbon dioxide emissions, leading to environmental pollution. In contrast, renewable energy sources have fostered ecological sustainability by reducing CO2 emissions in the long and short term. At the same time, a positive response from labor productivity to carbon dioxide emissions causes environmental pollution, while capital formation is not acknowledged as a significant contributor to CO2 emissions. The Error Correction term has ascertained the reduction in error and convergence of the model from short to long term with a speed of 8% per annum. The study suggested that renewable energy and financial development should be indorsed for environmental preservation in developing European and Central Asian economies. Financial development in favor of low-cost renewables, advancing cleaner production methods, solar paneling, and electrification are a few possible remedies to achieve environmental sustainability in the short-run as well as long-run time frame.