Search

Many Malaysian adolescents are experiencing stress due to high self-expectations in achieving academic grades. As a result, many adolescents are experiencing suicidal ideation; therefore, it is imperative to find important protective factors to minimize the chances of such adolescents committing suicide. This study aimed to assess whether or not there is a relationship between positive mental health, academic stress and suicidal ideation among Malaysian adolescents residing in Johor Bahru. This study also explored whether or not positive mental health serves to mitigate the relationship between academic stress and suicide suicidal ideation. The participants were a 210 Malaysian adolescents residing in Johor Bahru, aged 15-20 years. The participants Mala completed the Assessing Academic Stress, Positive Mental Health Questionnaire and Suicide Behavior Questionnaire. Data were analysed using correlation, regression, and PLS-SEM. The findings revealed that academic stress does cause suicidal ideation in Malaysian adolescents. The results of the correlation analysis showed that there is a negative association between positive mental health with academic stress and suicide ideation. Furthermore, this study found that positive mental health does serve as a significant mediator between academic stress and suicidal ideation. Academic stress leads to suicidal ideation, but positive mental health could be significant protective factor. Therefore, there is a need for parents, teachers and peers to promote positive mental health at home and in school, which is essential in curbing academic stress and suicidal ideation., Author(s): Aqeel Khan [sup.1] , Sriyanto Sriyanto [sup.2] , Diana Lea Baranovich [sup.3] , Lokman Mohd Tahir [sup.1] , Siti Aisyah Panatik [sup.1] , Sasmoko Sasmoko [sup.4] , Yasinta Indrianti [...]

Although there are numerous mobile learning studies, limited efforts have been devoted to investigating the moderating role of mobile technology anxiety on mobile learning outcome. Accordingly, the primary purpose of this study is not only to examine the key elements that could influence desire to take mobile learning and mobile learning continuance intention, but also to explore the moderating impact of mobile technology anxiety on mobile learning outcome. 676 college students participated in this study, and the partial least squares structural equation modeling (PLS-SEM) analysis was performed to analyze the data. The study findings have demonstrated that desire to take mobile learning, attitude toward mobile learning, and perceived usefulness are positively linked to mobile learning continuance intention. Second, it has been found that attitude, positive anticipated emotion, negative anticipated emotion, and subjective norm play a key role in determining better desire to take mobile learning, whereas perceived behavioral control has no impact on desire to take mobile learning. Additionally, it has been shown that perceived usefulness, and personal learning initiative are two critical antecedents of attitude toward mobile learning. Finally, the study findings have shown that mobile technology anxiety would moderate the relationship between attitude toward mobile learning and mobile learning continuance intention.

Few prior studies have examined the social and environmental consequences of waste generation and recycling, resulting in a policy gap in the sustainability agenda. The research filled a knowledge vacuum in the literature by investigating the environmental repercussions of different waste generation and recycling processes in the Chinese economy. The study analyzed waste production and recycling statistics over the last 46 years, from 1975 to 2020, and their impact on the nation's emissions per capita. This study used four primary approaches to determine the links between the examined variables, beginning with the unit root test, which identifies the stationary process of the variables' underlying processes. Second, the autoregressive distributed lag (ARDL) model was used to produce the variables' short- and long-run estimates. Third, estimations of Granger causality examined the causal relationships between the variables. Finally, innovation accounting matrices (IAM)were utilized to predict the relationships between variables during the following decade. The unit root estimates imply the mix order of variable integration; hence, it is appropriate to employ ARDL modeling for parameter estimations. The ARDL estimations demonstrate that combustible renewables and waste decrease a nation's carbon emissions by boosting industrial waste recycling. Despite recycling systems, carbon emissions have escalated to uncontrolled levels owing to the massive production of municipal solid garbage. Sustainable waste management and recycling are vital to reducing carbon emissions. Granger's estimations of causation imply that combustible renewables and waste and carbon emissions cause industrial and municipal solid waste recycling. Additionally, population growth is responsible for greenhouse gas emissions, biowaste recycling, and industrial waste recycling. Furthermore, this shows the two-way connections between combustible renewables and waste and carbon emissions, implying the need to develop green waste recycling strategies in a nation. The IAM method identified future relationships between variables, which aids policymakers in implementing sustainable waste management practices for a nation. This study concludes that the environmental consequences of waste generation and recycling impede the nation's circular economy agenda, which can be sustained by knowledge spillovers, chemical reduction in manufacturing, and allocating a certain amount of US dollars to ecological resource conservation. [ABSTRACT FROM AUTHOR]

The study extended the conventional Autoregressive Distributed Lag (ARDL) model into the lead model, supported with a partial adjustment model and adaptive expectation model. The ARDL‐LEAD modelling is applied to Saudi Arabia's tourism industry to assess the country's environmental sustainability agenda (ESA) by using monthly time series data from 1995M01‐2018M12. The short‐run results confirmed the Environmental Kuznets Curve (EKC) hypothesis with the lag variables, while the U‐shaped relationship was found between economic growth (EG) and CO2 emissions with the leads variable. The inbound tourism and trade openness (TOP) decrease CO2 emissions at the lead factor in the short‐run. The long‐run relationship verified the U‐shaped relationship between EG and CO2 emissions, while TOP openness increases CO2 emissions to substantiate 'pollution haven hypothesis (PHH)' in a country. The Wald Granger causality shows the different variations at the current period and forecasted estimates. The Granger estimates at the current level confirmed the growth‐led emissions (GLE), tourism‐led emissions (TLE), and tourism‐led growth (TLG) hypotheses, while at forecast estimates, the results substantiate the TLE and emissions‐led growth (ELD) hypotheses in a country. [ABSTRACT FROM AUTHOR]

This conceptual reviewed paper looks critically at the trend of information and communication technology especially now that the implementation of e-learning is gaining more relevance in Nigerian tertiary institutions. It discusses the level of preparedness in terms of the required skills by Technical and Vocational Education (TVE) teachers, availability of infrastructures and other constraints in using the ICTs for effective teaching and learning. Beside, leadership strategies ranging from school administration, executive leaders and policy makers roles were also discussed as a vital component in line with the outlined barrier to TVE teacher preparedness to e-learning. Specifically, the study sought to answer four among the most critical questions that need to be addressed for effective implementation of e-learning in Nigerian tertiary institutions. The paper concluded by suggesting strategies based on the four questions stated in this study. Amongst are urgent step needs be taken by school and executive administrators and policy makers in the training of TVE teachers in the relevant ICTs areas through in-service training and seminars/workshops. [ABSTRACT FROM AUTHOR]

The service industry provides distributive services, producer services, personal services, and social services. These services largely breakdowns due to restrictions on border movements, confined travel and transportation services, a decline in international tourists' visitation, nationwide lockdowns, and maintaining social distancing in the population. Although these measures are highly needed to contain coronavirus, it decreases economic and financial activities in a country, which requires smart solutions to globally subsidize the services sector. The study used different COVID-19 measures, and its resulting impact on the services industry by using world aggregated data from 1975 through 2020. The study benefited from the Keynesian theory of aggregate demand that remains provided a solution to minimize economic shocks through stringent or liberalizing economic policies. The COVID-19 pandemic is more severe than the financial shocks of 2018 that affected almost all sectors of the globalized world, particularly the services sector, which has been severally affected by COVID-19; it is a high time to revisit economic policies to control pandemic recession. The study used quantiles regression and innovation accounting matrix to obtain ex-ante and ex-post analysis. The quantile regression estimates show that causes of death by communicable diseases, including COVID-19, mainly decline the share of services value added to the global GDP at different quantiles distribution. In contrast, word-of-mouth helps to prevent it from the transmission channel of coronavirus plague through information sharing among the general masses. The control of food prices and managing physical distancing reduces suspected coronavirus cases; however, it negatively affects the services sector's value share. The smart lockdown and sound economic activities do not decrease coronavirus cases, while they support increasing the percentage of the services sector to the global GDP. The innovation accounting matrix suggested that smart lockdown, managing physical distancing, effective price control, and sound financial activities will help to reduce coronavirus cases that will further translate into increased services value-added for the next ten years. The social distancing will exert a more considerable variance error shock to the services industry, which indicates the viability of these measures to contained novel coronavirus over a time horizon. The study used the number of proxies to the COVID-19 measures on the service sector that can be continued with real-time variables to obtain more inferences. [ABSTRACT FROM AUTHOR]