• Energy Research

Environmental sustainability concerns are increasing worldwide; both developing and developed countries face environmental degradation. Literature has highlighted the environment-growth nexus; however, the impact of environmental-related technologies on the environment is ignored in early studies. This study aims to explore the implications of financial development, environmental-related technologies, research and development, energy intensity, renewable energy production, natural resource depletion, and temperature in a sustainable environment in Canada by using a time series model, i.e., dynamic ARDL simulations (Jordan and Philips 2018) with data from 1989 to 2020. The examined findings of the dynamic ARDL simulations indicate that environmental-related technologies in Canada help to reduce environmental degradation both in the short run and in the long run. At the same time, financial development, energy intensity, renewable energy production, research and development, natural resource depletion, and temperature causes boost the environmental degradation in Canada. To achieve sustainable environment, Canada needs to improve innovations in the environmental-related technologies for achieving sustainable growth and environment.

On the economic side, China has attained rapid development; yet, the ecological aspects pose threats to its sustainable development. The nexus between economic growth, natural resources, human capital, and financial development has an important inference for the environment, and therefore, this endeavor examines the influence of said variables on the ecological footprint in China via adopting the novel dynamic simulated ARDL approach by utilizing the data from 1985 to 2018. The outcomes of the analysis confirm that natural resources and financial development have a considerable positive short- and long-run relation with the ecological footprint. Besides, this depicts that natural resources and financial development lead to an upsurge in ecological footprint in China. Furthermore, human capital also upsurges the negative influence on the environment. Economic growth also upsurges the ecological footprint; however, the outcomes also yielded an interesting insight lending credence to the existence of the environmental Kuznets curve in China. So, it is important to offer awareness sessions to the community as well as to human resources working in different sectors regarding the significance of sustainability by giving training related to the reduction of the excessive consumption of scarce resources. Moreover, a watchful deliberation must be given while implementing strategies about sustainability concerning the specified factors and their potential impact on ecological footprints so that the targets of Sustainable Development Goals 7, 8, and 13 could be accomplished by the Chinese economy.

The policymakers in emerging economies have accelerated their efforts to move toward sustainable development due to the associated challenges of environmental degradation and disparities in economic growth. The present study is an effort in that direction; it looks at trade-adjusted carbon emissions (TACE) to help policymakers develop a relevant policy response to mitigate climate change in the BRICST (comprising Brazil, Russia, India, China, South Africa, and Turkey) regions. The study investigates the impact of financial inclusion, green finance, and sustainable economic development on carbon emissions adjusted for trade. The study utilizes the panel dataset of the BRICST regions from 2000 to 2023 by employing the econometric methods of the Method of Moments Quantile Regression (MMQR) approach. It recommends green finance, financial inclusion, and sustainable economic development to curb TACE. The research findings indicate a noteworthy correlation between green finance, financial inclusion, sustainable economic development and TACE. The study recommends policy measures for the BRICST regions that align with the Sustainable Development Goals, focusing on green finance, financial inclusion, and sustainability. By promoting renewable energy, enhancing financial access, and encouraging international cooperation, these strategies aim to reduce TACE and foster sustainable development.

This study scrutinized the asymmetric impact of oil prices on stock returns in Shanghai stock exchange with data (January 2000 to December 2018) by using asymmetric ARDL model. The examined results of asymmetric autoregressive distributed lag model indicate that cointegration exists between the oil prices and the stock returns. Results of asymmetric autoregressive distributed lag model confirm that both in the long run and the short run increase in oil prices have a negative impact on the stock returns of Shanghai stock exchange while decrease in the oil prices has a positive impact on the stock returns. The examined results of this study recommend that oil prices dynamically contribute incompetence in stock prices in such a way that impact the profits of investors in stock market.

Sustainability concerns are increasing globally. Besides, in Pakistan, these concerns are increasing day by day due to lack of education as well as redundancy among human capital, depletion of natural resources and economic growth can lead to pose severe threats to the environment. To address this concern, this study examines the phenomena that in what way natural resources, human capital, and economic growth affect two important indicators i.e., ecological footprint and carbon emission in Pakistan from 1985 to 2018 by using the dynamic autoregressive distribution lag (DARDL) approach. The outcomes of the analysis indicate that in the long run human capital and natural resource has a negative link with carbon emission whereas economic growth has a positive link with carbon emission. On the other side, in the short run, human capital and economic growth have a positive link with carbon emission while natural resources have a negative link with carbon emission. Moreover, in the long and short-run human capital and economic growth has a positive link with ecological footprint whereas natural resources have a negative link with the ecological footprint. However, the results of this study also revealed the presence of the environmental Kuznets curve (EKC) in Pakistan. Moreover, creating awareness among the citizens together with governmental regulatory pressures might help in solving the problems related to the environment resulting in preserving the sustainability of future generations in Pakistan.

Energy consumption for sustainable development has become a crucial issue in recent years. The anthropogenic effects of traditional energy sources (non-renewables) underscore the need for renewable energy and efforts to promote its adoption have comprised policy makers' strategies to achieve sustainable development. At the same time, institutional stability is a necessary element needed to meet the goal of sustainable development via improved management of resources and technology diffusion. The literature shows some contradictory findings on this matter and this study aims to clarify. Thus, this research scrutinizes the contribution of renewable and non-renewable energies in sustainable development while also taking into account financial development and institutional quality in ASEAN countries from 1980 to 2018. To assess for co-integration, a pooled mean group (PMG) regression technique is employed and the findings from this technique are verified by using fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS), and canonical cointegration regression (CCR) techniques in conjunction with other panel-based econometric procedures to evaluate the robustness of the model. The findings reveal a significantly positive influence for renewable energy and a significantly adverse impact for non-renewable energy with respect to sustainable development in ASEAN countries. In addition, the results indicate that institutional quality and financial development have adverse effects on sustainable development. Therefore, this research recommends sustainable management of non-renewables and greater promotion of renewables by strengthening institutional quality in ASEAN countries.

Environmental degradations are mainly caused by the use of different energy resources for economic growth. This research examined the influence of energy consumption (coal consumption, oil consumption, and gas consumption) and economic growth on environmental degradation in Pakistan. This research used newly developed method dynamic ARDL simulations to scrutinize the actual influence of positive and negative change in the use of coal consumption, oil consumption, and gas consumption for energy and economic growth on environmental degradation in Pakistan. The examined results of dynamic ARDL indicate that economic growth, coal consumption, oil consumption, and natural gas consumption have positive impact on the environmental degradations in Pakistan both in short run and long run. It is suggested that environmental degradations can be reduced by promoting renewable energy sources for energy.

Without enhancing the quality of the environment, the goals of sustainable development remain unachievable. In order to minimize the damage to the planet, sustainable practices need to be considered. This study is conducted to identify some of the drivers behind the increasing sustainability issues and tried to investigate the impact of natural resources, financial development, and economic growth on the ecological footprint in Malaysia from the year 1980-2019 by utilizing the dynamic simulated autoregressive distribution lag approach. It was identified that financial development, economic growth, and natural resources are the determinants behind the upsurge of the ecological footprint as all three show a positive and significant effect on ecological footprint. However, in the long run, the presence of the Environmental Kuznets Curve hypothesis was also validated in Malaysia. Therefore, it is recommended to increase awareness among the public regarding the adoption of sustainable practices in everyday life and to use green technologies that offer maximum efficiency and minimum damage to the environment in commercial and domestic activities. Finally, based on the research results, a comprehensive policy framework was proposed which could allow the Malaysian economy to attain the objectives of Sustainable Development Goals (SDGs) 7, 8, and 13.