Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning.

The advancement of artificial intelligence (AI) and the ubiquity of social media have become transformative agents in contemporary educational ecosystems. The spotlight of this inquiry focuses on the nexus between AI and social media usage in relation to academic performance and mental well-being, and the role of smart learning in facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) on a sample of 401 Chinese university students. The study results reveal that both AI and social media have a positive impact on academic performance and mental well-being among university students. Furthermore, smart learning serves as a positive mediating variable, amplifying the beneficial effects of AI and social media on both academic performance and mental well-being. These revelations contribute to the discourse on technology-enhanced education, showing that embracing AI and social media can have a positive impact on student performance and well-being.

From industrialization to dehumanization: understanding the deriving forces of environment and implications for sustainable development.

Environment has detrimental effects on economic activity and human survival. Climate change is increasingly conducive to natural disasters, epidemics, social conflicts, food security, financial shocks, economic hardships, and life subsistence. In pursuit of this issue, this study empirically investigates the effects in outcome variable CO2 provoked by independent variables governance, technological innovation, renewable energy, economic growth, and economic policy uncertainty in APEC economies. The APEC region accounts for 60% of global emissions, 62% of world GDP, 48% of global trade and contribute 8.7% renewable energy annually. A dynamic panel PMG-ARDL model is applied under the assumption of maximum likelihood estimation with DH causality and CS-ARDL for the period of 1996-2020. Our empirical results confirm that governance, technology innovation, and transitional energy have significant and positive effect to mitigate CO2 emissions. The region needs to design policy mechanisms supportive to promote institutional quality, enhances transparency, ensure political stability and rule of law. It develops the infrastructure that ensures the adaptation of technology innovations, promotes green growth, improves energy efficiency, and implements carbon pricing mechanism. Economic policy uncertainty has insignificant and positive effects on environmental degradation. The findings show that governance, technological development, and transitional energy have an essential role to mitigate CO2 emissions and achieve sustainable development. Moreover, this study will be helpful in understanding the implications of SDGs and achieving specific targets such as (SDG-7: Clean energy sources) and (SDG-8: Sustainable development goal) based on the largest set of emitters APEC.

From COVID to conflict: Understanding the deriving forces of environment and implications for natural resources.

In the contemporary world, the importance of natural resources is increasing day by day especially due to extraordinary circumstances, i.e., COVID-19 and global conflicts. The abundance of natural resource is considered competitive advantage and crucial for sustainable development. However, the role of natural resources can be questionable especially if its impact on the economy is negative. Sustainable use of natural resources is currently the biggest challenge for governance. Following these footprints, the study aims to revisit a novel perspective of natural resources in the context of global conflicts using data from Asian economies for the period of 1996-2020. In this pursuit, this study investigates how governance balances macroeconomic variables with sustainable development to account for effective climate change adaptation, mitigation efforts and integral to control conflicts. The second-generation test of CIPS and CADF are used to deal with cross-sectional dependence issues and Westerlund cointegration to estimate long-run relationships. Furthermore, the long-run coefficients are estimated by the PMG estimator using dynamic panel ARDL approach. The findings confirm that surpassing the threshold level of governance is essential to promote environmental quality and preservation of natural resources. The region needs to promote steward policy for resources. This can take the form of nationalizing resource assets, increasing taxes and royalties on resource extraction to ensure sustainable development. The handlers need to design polices supportive to renewable energy consumption, endorse IT based industry solution, encourage high-tech inward FDI, promote green financing and support sustainable development.

Re-evaluating the asymmetric conventional energy and renewable energy consumption-economic growth nexus for Pakistan.

To understand the nexus between economic growth and energy sources, in this study, we have selected Pakistan and collected data over the period 1980-2016. The neoclassical production function of Pakistan is augmented with conventional and renewable energy, capital, and labor. Conversely, the conventional and renewable models are being constructed by using GDP as an independent variable. This paper applied linear and nonlinear ARDL models to see whether the influence of conventional and renewable energy consumption on GDP per capita of Pakistan is symmetric or asymmetric and vice versa. Furthermore, the asymmetric causal effects between the energy variables and economic growth are also discussed. From the findings of the study, we deduce the long-run asymmetric effects of renewable energy on the economic growth of Pakistan. Similarly, the asymmetric effects of GDP, in the long run, are confirmed in both energy models. The symmetric and asymmetric causality results have recommended growth and conservation hypothesis. The findings propose that renewable energy is a significant factor in boosting the economic growth of Pakistan and a decline in the use of renewable energy could actually stem the economic growth of Pakistan.