Population health is a key pillar of the fast-growing economies, but several challenges threaten it. This study scrutinizes the impact of real estate prices (housing rent) and inflation on population health by using advanced economies from 1996 to 2019. Health is measured by infant mortality rates and life expectancy at birth. The empirical outcomes show a positive and significant effect of housing rent on the infant mortality rate. In contrast, housing rent improves life expectancy. We also find that an increase in inflation positively affects the infant mortality rate and has a negative effect on life expectancy. GDP and health expenditure tend to improve health by increasing life expectancy and reducing the infant mortality rate. However, unemployment is harmful effects on population health. This study recommends that healthcare practitioners consider the housing market and inflationary pressure.

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Current research examines how COVID-19 has impacted the daily life of students, specifically personal and academic aspects. The authors investigated the role of academic and family stress caused by COVID-19 on students' depression levels and the subsequent impact on their academic performance based on Lazarus' cognitive appraisal theory of stress. The non-probability convenience sampling technique has been used to collect data from undergraduate and postgraduate students using a modified questionnaire with a five-point Likert scale. This study used structural equation modeling to examine the link between stress, depression, and academic performance during COVID-19. It was confirmed that educational and family stress significantly leads to depression among students, negatively affecting their academic performance and learning outcomes. This research provides valuable information to parents, educators, and other stakeholders concerned about their children's education and performance.

Several investigations show that remittances, renewable energy, and innovation promote the socioeconomic advancement of a nation. Nevertheless, the impacts of remittances and renewable energy on ecological quality are yet to be evaluated thoroughly. Therefore, the current investigation assesses the effects of remittances and renewable energy on CO2 emissions while taking into account the roles of technological innovation, globalization, and economic growth. Toward this end, this paper depends on yearly data between 1990 and 2019. The study employed bounds testing and its results disclosed long-term connections between CO2 and the regressors. Moreover, unlike prior studies that employ time-domain causality, we employed frequency domain causality, which considers causality at different frequencies. Furthermore, the ARDL long- and short-run results showed that economic growth amplified CO2 emissions, while green energy, remittances, and globalization lessened CO2 emissions. Lastly, the frequency domain causality approach revealed that globalization, renewable energy, economic growth, technological innovation, and remittances could predict CO2 emissions in the long-term. These findings’ sturdiness was established utilizing DOLS and FMOLS regression. Several policy recommendations are suggested in light of these ground-breaking discoveries.

The novel Covid-19 outbreak has adversely affected every sector of the economy, including the tourism and hospitality sectors.Holding the importance as one of the leading contributors to economic growth, and accommodating a large percentage of the labor force, this study has investigated the impact of Covid-19 on the tourism economy of Beijing (the capital of China), which is one of the leading tourist destinations of China. For this purpose, primary data with 385 sample sizes have been collected via random sampling techniques from the tourism-related respondents. This data has been analyzed using the simple descriptive analysis, graphical estimations, and categorization techniques. The findings of the study show that Covid-19 exerts a negative influence on the tourism and hospitality sector. Specifically, a reduction in the international tourists' arrival has reduced revenue generation, indirectly reducing the contribution to the GDP by many factors. These factors include an increase in the unemployment ratio, cutoff salaries, increases in expenditures, and a decline in the tax payments. However, lack of adequate response from the government in the context of the tourism sector has further fueled the adverse outcomes of Covid-19, leading the industry to a shutdown condition for most firms in this geographical area.