The primary aspiration of this paper is to learn about the effects of economic growth (GDPG) and energy consumption (ENRC) on environmental pollution (EP) in G-3 countries and to show the significance of renewable energy consumption (RENEW) on environmental pollution (EP). The data covers the period from 1970 to 2020 by applying the “Pooled Mean Group-Autoregressive Distributed Lag” (PMG-ARDL) model. The results indicate that GDPG is negatively co-integrated with CO2 emissions (pollution) in the short run (SR) but positively co-integrated in the long run (LR). Energy consumption has a positive impact in the long run, but there is no positive impact in the short run to accelerate pollution. In both the short and long run, renewable energy has a significant role in reducing environmental degradation. However, according to the Dumitrescu Hurlin panel, there was bidirectional causality (BC) involving energy consumption and pollution. Because of the large volume of energy emphasized in economic growth and development activities, energy use increases pollution. In addition, there was a BC involving energy consumption and economic growth. At the country level, a significant contribution implies sustainable development and the implication of environmental quality assurance policies.

The current study examines the empirical relation between energy consumption and industrialization concerning other macroeconomic variables like as infrastructure, manufacturing, and capital formation with covering the period from 1975 to 2018. The Johansen co-integration estimation asserts the long-run association in this process. Whatever granger causality shows the bidirectional causality between electricity consumption and industrialization. Capital formation and industrialization have the bidirectional causality also. A unidirectional causality exists between oil and industrialization where manufacturing and industrialization have bidirectional causality. The estimated result of the error correction mechanism (ECM) shows the speed of long-run equilibrium at 45% within the time. The ECT has been significant at a 1% level with a pessimistic sign. The assistances of this attempt ensuring the importance of energy use and energy supervision in the aspect of industrial enlargement with making an allowance for the other macroeconomic indicators.

Background A previous study identified students taking Bangladeshi university entrance tests as a vulnerable group at a higher risk of suicidal behaviours before the COVID-19 pandemic. However, the impact of the pandemic on the magnitude of these behaviours among this population remains unexplored. Aims This study aimed to investigate the prevalence of suicidal ideation and associated factors among Bangladeshi university entrance test takers following the pandemic. In addition, an approach based on Geographic Information System (GIS) data was used to visualise the distribution of suicidal ideation across the country. Methods A cross-sectional approach was used to collect data among participants taking the entrance test at Jahangirnagar University in September 2022. Using SPSS, data were analysed with chi-squared tests and binary regression, and ArcGIS was used to map the results across the nation. Results The study revealed a prevalence of 14.4% for past-year suicidal ideation, with 7.4% and 7.2% reporting suicide plans and attempts, respectively. Notably, repeat test-takers exhibited a higher prevalence of suicidal behaviours. Significant risk factors for suicidal ideation included urban residence, smoking, drug use, COVID-19 infection and deaths among close relations, depression, anxiety and burnout. The GIS-based distribution indicated significant variation in the prevalence of suicidal ideation across different districts, with higher rates observed in economically and infrastructurally deprived areas. Conclusions Urgent measures are needed to address the high prevalence of suicidal behaviours among students taking university entrance tests students in Bangladesh, particularly in light of the COVID-19 pandemic. Enhanced mental health support, targeted prevention efforts and improved resources in economically disadvantaged regions are crucial to safeguard the well-being of these students.

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