Implications of circular economy, digitalization and technological innovation to achieve sustainable environmental goal: Pre and post-vision 2030.

The current study contributes to the existing literature by constructing a digitalization index to investigate the significance of digitalization in controlling the environmental footprint. Moreover, the dataset is divided into pre-Vision 2030 and post-Vision 2030 implementation to scrutinize the progress of Saudi Vision 2030 to counter the environmental challenges. Vision 2030 is a strategic framework to reduce Saudi Arabia's dependence on oil, diversify its economy, and develop public service sectors such as health, education, infrastructure, recreation, and tourism. The findings have documented the negative coefficients for post-Vision 2030 and post-COVID-19 estimations, reflecting that a significant digitalization increase is useful for controlling the environmental externalities in Saudi Arabia. In the case of post-Vision 2030, the role of environmental technology turns out to be significant and negative, but with a lower magnitude. The study results are useful for drawing significant environmental policies through enhancing the digitalization parameters and advancement of technology.

Lessons for Medical and Health Education Learned from the COVID-19 Pandemic.

Our paper analyzes lessons for medical education and health education stemming from the experience gained in the course of the COVID-19 pandemic. Moreover, it tackles the issue of the social health and psychological wellbeing of medical students involved in online education during the COVID-19 pandemic. The paper systematizes up-to-date data on how medical schools and universities have adapted to the conditions of the COVID-19 pandemic and implemented novel effective solutions for the learning process, such as transitioning from traditional in-person classes to online learning, incorporating virtual simulations and telemedicine experiences for clinical training, and collaborating with health authorities to provide support in testing and contact tracing efforts. The paper contains an analysis of various aspects of medical education, such as the changes in practical classes, the impact of the pandemic on the formation of communication skills, methods for assessing students' knowledge and skills, and many others. It also considers case studies related to the implementation of educational programs, methodologies, and novel digital technologies in a pandemic. Additionally, the paper features an empirical study that is based on the results of our own survey that was carried out with the help of a snowball convenient sampling that involved 710 medical students between 19 and 25 years of age (56% females and 44% males) from 4 Russian regions (Moscow, Krasnodar, Kazan, and Saint Petersburg). We applied the correlation between stress scores, anxiety scores, factors of stress, and strategies for coping with stress and various economic and demographic variables (age, environment, and gender) that were analyzed using the chi-square test. Our results demonstrate that over 85% of the students in our sample yielded an above-average vulnerability to stress due to the COVID-19 restrictions. At the same time, around 61% of the students experienced severe anxiety during online education in the COVID-19 pandemic. The important factors leading to stress and anxiety were the fear of getting infected and social distancing, and the best strategy to deal with stress and increase wellbeing was self-control. Through a comprehensive review of the literature and empirical estimations, our paper identifies key areas of improvement, including curriculum adaptation, technology integration, faculty development, student support, and interprofessional collaboration. The proposed recommendations aim at strengthening medical education systems and preparing healthcare professionals to effectively navigate future pandemics.

Impact of COVID-19 on the national development of countries: Implications for the public health.

The article focuses on measuring the fluctuations in countries' development as a result of the COVID-19 pandemic. The obtained measures make it possible to predict the extent of the impact of risks to public health on the economy, financial-budgetary, political-institutional development of states in the future, as well as the social determinants of public health. This assessment represents a new paradigm that makes it possible to effectively evaluate the manifestations of the consequences of COVID-19 and to identify the relevant determinants of the lack of resilience of the medical and social security systems to the coronavirus pandemic around the world. We picked the determinant of national development indicators of the 59 countries in order to measure the fluctuations in their economic development. In addition, we applied the binary response model for identifying the economic, financial-budgetary, and political-institutional development change with the happiness index of the countries being the dependent variable. The analysis of our empirical model made it possible for us to conclude that economic and financial-budgetary components have significantly increased the influence on well-being during the COVID-19 pandemic. In contrast, we observed the decrease in the impact of political and institutional indicators during the same period.

Social Health and Psychological Safety of Students Involved in Online Education during the COVID-19 Pandemic.

Our paper focuses on the issues of social health and psychological safety of university students involved in digital sustainable education during the COVID-19 pandemic. Currently, modern education is becoming inclusive due to the advancements in information and communication technologies (ICT), and it is important not only to stress the relevance of sustainable development and the use of digital technologies, but also their impact on students at schools and universities worldwide. Digital literacy is a newly emerging feature that results from the attitude of team members in the field of digital technologies. This paper explores the impacts of the COVID-19 pandemic on students' learning and well-being and outlines the potential considerations for educational systems as they support students through the recovery period and beyond. Our study is based on the results of our own survey that was administered using a snowball and convenient sample of 1524 respondents (aged 19-26 years; 56.2% females and 43.8% males) from the Czech Republic (N = 804) and Russia (N = 720). We employed the ANOVA and Dirichlet Process mixtures of Generalized Linear Models (DP-GLM) in order to explain the causes of stress and anxiety after grouping variables represented by gender and the study specializations. Our results demonstrate that more than 87% of the students in the sample expressed a medium to high vulnerability to stress, while 58% of the respondents were affected by severe anxiety during their online education engagement. The most important factors that emerged as significant were the fear of getting infected and social distancing, while the best strategy to cope with the stress was self-control. These results allow us to provide practical recommendations for effectively coping with and controlling stress and anxiety among students in the post-pandemic era. In addition, our findings might contribute considerably to the study of the overall long-term effect of the COVID-19 pandemic on the university students, in general, and the use of digital technologies in higher education, as well as on the public health.

The predictive ability of emotional creativity in motivation for adaptive innovation among university professors under COVID-19 epidemic: An international study.

Emotional creativity (EC) refers to cognitive abilities and personality traits related to the originality of emotional experience and expression. Previous studies have found that the COVID-19 epidemic and the restrictions imposed increased the levels of negative emotions, which obstructed adaptation. This research suggests that EC predicts the motivation for innovative adaptive behavior under the restrictions of COVID-19. In the case study of university professors, we show that EC predicts the motivation to creatively capitalize on the imposed online teaching in looking for innovative research and personal development. Methodologically, we rely on the Emotional Creativity Inventory (ECI) administered to a sample of 463 university professors (41.5% men, aged 22-100. M ± SD = 45.53 ± 11.46, median 44) from the Czech Republic (N = 137), Slovak Republic (N = 61), and Russia (N = 265). The indicators for motivation for innovative performance included motivations to use distant methods of scientific research, to look for partners for conducting scientific research in other cities or abroad, to conduct interdisciplinary research, starting distance learning to enhance qualifications, and the perception that due to online teaching, there is more time for personal development. We employ a set of ordinal regression analyses controlling for age, gender, position (lecturer, researcher, and manager), type of science (formal, natural, social, and applied), and country. The results suggest that Emotional Creativity and its three components predict the motivation of university professors to creatively capitalize on the imposed online teaching in looking for innovative research and personal development under the conditions of COVID-19. Furthermore, our results confirmed the gender and age differences in EC. The differences in EC according to position (lecturer, researcher, and manager) and type of science were not statistically significant. These results compel us to be aware of the importance of the emotional side of creativity to optimize stress-related behavior under the conditions of limited abilities to continue as usual. More space devoted to the manifestation of all the aspects of emotional creativity would improve adaptation to challenging circumstances and even allow one to capitalize on new opportunities. Moreover, we suggest that if personal intrinsic Emotional Creativity is high, the crises, such as the COVID-19 epidemic, may improve adaptation and trigger creative outcomes.

Convergence behaviours of energy series and GDP nexus hypothesis: A non-parametric Bayesian application.

With the EU Green Deal initiatives, European members seek to launch the first climate neutral continent by 2050. This paper assesses the stochastic convergence of per capita energy consumption series for an illustrative sample of 15 EU countries with memberships prior to the 2004 enlargement, using data spanning the 1970-2018 period. Results from the confidence interval subsampling (asymmetric and equal-tailed) highlight that 11 out of the 15 EU series exhibit a long-run memory behaviour, while a diverging pattern was observed for the UK, Germany, Portugal, and Italy. Finally, per capita energy use series persist but fail to reveal one of the above dynamics for Ireland and Spain. Also, findings from the non-parametric Bayesian application (ANOVA/linear Dependent Dirichlet Process (DDP) mixture model) show how economic growth operates as a converging energy consumption-enabler over the long-run, from which the EU membership cannot be excluded. In particular, we highlight how the nature of energy-GDP hypotheses vary with the stochastic properties of energy use (converging behaviour with temporary shocks, converging pattern with permanent shocks, and diverging dynamic). Finally, our conclusions overcome the well-established development stage argument as we claim that countries with similar energy convergence patterns may need to adopt similar energy policies.

Evolution of External Health Costs of Electricity Generation in the Baltic States.

Implementation of strict policies for mitigating climate change has a direct impact on public health as far as the external health costs of electricity generation can be reduced, thanks to the reduction of emission of typical pollutants by switching to cleaner low carbon fuels and achieving energy efficiency improvements. Renewables have lower external health costs due to the lower life cycle emission of typical air pollutants linked to electricity generation, such as SO2, NOx, particulate matter, NH3, or NMVOC (Non-methane volatile organic compounds), which all appear to have serious negative effects on human health. Our case study performed in the Baltic States analyzed the dynamics of external health costs in parallel with the dynamics of the main health indicators in these countries: life expectancy at birth, mortality rates, healthy life years, self-perceived health, and illness indicators. We employed the data for external health costs retrieved from the CASES database, as well as the health statistics data compiled from the EUROSTAT database. The time range of the study was 2010-2018 due to the availability of consistent health indicators for the EU Member States. Our results show that the decrease of external health costs had a positive impact on the increase of the self-perceived good health and reduction of long-standing illness as well as the decrease of infant death rate. Our conclusions might be useful for other countries as well as for understanding the additional benefits of climate change mitigation policies and tracking their positive health impacts. The cooperation initiatives on clean energy and climate change mitigation between countries like One Belt One Road initiative by the Chinese government can also yield additional benefits linked to the public health improvements.

Does Playing Video Games Increase Emotional Creativity?

Emotional creativity (EC), which constitutes a main aspect of the general creativity concept, is often shown to be substantially related to positive emotional experiences, effective motivation, and innovation at the workplace as well as at school. However, little is known about the relationship between emotional creativity and the time people tend to spend playing video games. Nowadays, video games and virtual reality have become an important aspect of public health and psychological research. They constitute a key element of popular culture and generate considerable economic profit as part of the public entertainment industry. Our study is based on the results of an emotional creativity inventory (ECI) survey that was administered at a snowball and convenient sample of 453 respondents (aged 18-60 years, M ± SD: 23.68 ± 6.36; 66.40% women, 20.00% with higher education) from the Czech Republic who were questioned about their habits and the time they devote to playing video games. The sample country was selected as one with a long tradition of homebrew video gaming going back to the 1980s. We employed a set of multinomial regression analyses, which revealed that more time devoted to playing video games is associated with lower emotional creativity, in general, as well as with lower novelty, preparedness, and effectiveness components of emotional creativity. The negative association above was less pronounced for women than for men. Moreover, in a sample containing only women, a longer time devoted to playing video games was associated with the higher novelty component of emotional creativity (the associations with the other two components were not statistically significant for women only). Our findings might considerably contribute to the study of the general overall long-term effect of video games and the use of digital technologies in general on public health.

Factors influencing job satisfaction in post-transition economies: the case of the Czech Republic.

This paper presents an analysis of factors influencing job satisfaction in post-transition economies on the example of the Czech Republic. Our research shows that women reported higher levels of job satisfaction compared to men. Education proved to be statistically significant in one of three indicators of job satisfaction. Personal income and workplace relationships proved to be positively and significantly related to all the three indicators of job satisfaction. Most of the occupational dummies were significantly related to two out of three indicators of job satisfaction. In addition, we found that Czech entrepreneurs enjoy and value their job, which indicates strong self-selection for doing business in post-transition economies. However, human capital expressed by the level of education was significant factor for job satisfaction, meaning that well-educated people might not be satisfied with their jobs or feel that their education and experience are wasted in the market economy.