Level Of Gross Domestic Product Research Articles

Understanding the drivers of the renewable energy transition

Empirical evidence on renewable energy (RE) deployment remains controversial, and little consensus exists on how empirical determinants can shape a country's transition to a low-carbon economy. Using a sample of 38 countries from 2002 to 2020, we apply nonlinear panel data modeling, where the energy transition process can be properly treated. Our empirical results indicate the prominent role of geopolitical risk in influencing the use of RE, depending on the level of gross domestic product (GDP) per capita. Richer countries have a greater capacity to develop clean technologies in times of uncertainty; however, with fewer resources to bear the transition costs, the RE sector in low-income countries is more vulnerable to adverse geopolitical events.

The impact of digitalization, technological and financial innovation on environmental quality in OECD countries: Investigation of N-shaped EKC hypothesis

This research article aims to determine the interrelationships between digitalization, technological and financial innovation, and environmental quality in selected Organization for Economic Cooperation and Development (OECD) countries. This study also tests the validity of the N-shaped Environmental Kuznets Curve (EKC) hypothesis. To this end, we utilize a rigorous three-stage panel data econometrics approach. The empirical outcomes entail that financial innovation decreases carbon emissions, whereas technological innovation and digitalization increase carbon emissions in the OECD countries. The results further underscore that across all models, the first level of gross domestic product (GDP) harms environmental quality. On the flip side, the second level of GDP tends to improve environmental quality. However, the third level of GDP deteriorates environmental quality. In conclusion, the empirical findings corroborate the N-shaped EKC hypothesis in OECD countries, urging policymakers to adopt more sustainable development practices.

ИНФЛЯЦИЯ И ЕЕ ВЛИЯНИЕ НА ЭКОНОМИЧЕСКИЙ РОСТ СТРАНЫ

The scientific article contains a review of domestic and foreign literature on the issues of ensuring growth in the gross domestic product, pricing in the conditions of agricultural production, and import substitution. Data from the official website of the Federal State Statistics Service on the dynamics of the consumer price index and the level of gross domestic product in the period from 2017 to 2023 are presented. Statistical data on the dynamics of the level of the consumer price index showed significant changes both in the direction of increasing consumer prices and in the direction of their decrease. Thus, in 2022, a significant increase in consumer prices amounted to 3.55 percent, and in 2023, there was a decrease in consumer prices by 4.52 percent. The growth (decrease) rate of the consumer price index and gross domestic product was determined, a decrease in the gross domestic product in 2020 by 1.7 percent and a decrease in the consumer price index in 2019 by 1.2 percent were identified, and in 2023 there was a decrease of 4 percent. It is noted that the decline in gross domestic product in 2020 is associated with the COVID-19 pandemic. In order to identify the relationship between the level of gross domestic product and the consumer price index, the value of the correlation coefficient was determined. The positive value of the correlation coefficient recorded a direct relationship between the volume of gross domestic product and the consumer price index. A correlation coefficient value of 0.9 indicates a close relationship between the volume of gross domestic product and the consumer price index. Thus, the results of theoretical studies have been confirmed that the volume of gross domestic product is significantly influenced by the level of consumer prices.

Changes in tuberculosis burden and its associated risk factors in Guizhou Province of China during 2006–2020: an observational study

BackgroundUnderstanding the trends of tuberculosis (TB) burden and its risk factors at the provincial level in the context of global End TB targets is crucial to identify the progress and challenges in TB control. We aimed to estimate the burden of TB and risk factors for death from 2006 to 2020 for the first time in Guizhou Province, China.MethodsData were collected from the national TB surveillance system. Four indicators of TB burden and their corresponding age-standardized rates (ASRs), including incidence (ASIR), prevalence (ASPR), mortality (ASMR) and disability-adjusted life years (DALYs) (ASDR), were estimated and stratified by year, age, gender and prefecture. Temporal trends of ASRs were presented by locally weighted regression, and the annual percentage change was calculated. The correlation between gross domestic product (GDP) per capita and ASRs was evaluated by Pearson correlation analysis. The associated risk factors for death in PTB patients were determined using logistic regression models.ResultsA total of 557,476 pulmonary TB (PTB) cases and 11,234 deaths were reported, including 2233 (19.9%) TB specific deaths and 9001 (80.1%) deaths from other causes. The 15-year average incidence, prevalence and mortality rates were 94.6, 102.6 and 2.1 per 100,000 population, respectively. The average DALY rate was 0.60 per 1000 population. The ASIR and ASPR have shown downward trends since 2012, with the largest percentage decrease in 2020 (ASIR: -29.8%; ASPR: -30.5%). The number in TB specific deaths consistently decreased during the study period (P<0.001), while the increase in deaths from other causes drove the overall upward trend in ASMR and ASDR. Four ASRs remained high in males and 5 prefectures. GDP per capita was negatively associated with the ASIR, ASPR and ASDR (P<0.05). Among PTB patients, men, patients with no fixed job, those with a low GDP level, patients with increasing age, those previously treated, those with severe symptoms, those transferred in and those receiving directly observed treatment were more likely to suffer death.ConclusionGuizhou has made progress in reducing PTB cases and TB specific deaths over the last 15 years. Targeted interventions are needed to address these risk factors for death in PTB patients and high-risk areas.

Delayed care-seeking in international migrant workers with imported malaria in China.

Imported malaria cases continue to pose major challenges in China as well as in other countries that have achieved elimination. Early diagnosis and treatment of each imported malaria case is the key to successfully maintaining malaria elimination success. This study aimed to build an easy-to-use predictive nomogram to predict and intervene against delayed care-seeking among international migrant workers with imported malaria. A prediction model was built based on cases with imported malaria from 2012 to 2019, in Jiangsu Province, China. Routine surveillance information (e.g. sex, age, symptoms, origin country and length of stay abroad), data on the place of initial care-seeking and the gross domestic product (GDP) of the destination city were extracted. Multivariate logistic regression was performed to identify independent predictors and a nomogram was established to predict the risk of delayed care-seeking. The discrimination and calibration of the nomogram was performed using area under the curve and calibration plots. In addition, four machine learning models were used to make a comparison. Of 2255 patients with imported malaria, 636 (28.2%) sought care within 24h after symptom onset, and 577 (25.6%) sought care 3 days after symptom onset. Development of symptoms before entry into China, initial care-seeking from superior healthcare facilities and a higher GDP level of the destination city were significantly associated with delayed care-seeking among migrant workers with imported malaria. Based on these independent risk factors, an easy-to-use and intuitive nomogram was established. The calibration curves of the nomogram showed good consistency. The tool provides public health practitioners with a method for the early detection of delayed care-seeking risk among international migrant workers with imported malaria, which may be of significance in improving post-travel healthcare for labour migrants, reducing the risk of severe malaria, preventing malaria reintroduction and sustaining achievements in malaria elimination.

Less-advanced regions in EU innovation networks: Could nanotechnology represent a possible trigger for path upgrading?

This paper examines whether nanotechnology projects funded under the European Union (EU) Framework Programmes (FPs) are a possible trigger for path upgrading (i.e., infusion of new technologies in existing traditional sectors) in less-advanced regions. First, the adoption of cluster analysis and a set of key indicators (i.e., technological intensity, scientific excellence, human capital, and research and development expenditure) allowed us to distinguish between 79 more-advanced and 127 less-advanced EU regions. Subsequently, through social network analysis and nonparametric testing we were able to demonstrate how the less-advanced EU regions (average degree centrality: 40.5) play a marginal role compared with the more-advanced ones (average degree centrality: 98.5) in the nanotechnology network created within Horizon 2020-i.e., the EU programming cycle implemented in the 2014-2020 period. Despite this, we observed that a few less-advanced regions (33 out of 127) were able to score higher than the EU median in terms of participation in the targeted nanotechnology network, thus benefiting from relevant knowledge flows potentially leading to re-industrialization processes. The adoption of qualitative comparative analysis allowed us to determine which combinations of key innovation, scientific and socioeconomic factors could facilitate such beneficial interregional interactions and related knowledge exchange in these types of regions (i.e., primarily what we defined as "relative innovativeness," excellence in nanotechnology research and a comparatively high level of gross domestic product per capita). Our empirical results provided some clear policy implications. For instance, the necessity to I) remove the barriers impeding a more balanced participation to promote a widespread renewal of traditional industries in less-advanced regions and II) implement coordinated EU and domestic actions designed to encourage the involvement of the great majority of the less-advanced regions, which remain marginal in the periodically launched FPs.

Analysis of the relationship between the profitability of market portfolios and the profitability of shares of companies in the oil sector

Purpose: This article aims to elucidate whether the particularity of the high level of explanation of the relationship between the return on the market and the return on shares of companies in the oil sector in Brazil occurs similarly in other markets.&#x0D; Methodology: The oil companies considered were listed as the main ones by Forbes, Fortune and Exame magazines. Their shares and market movement were obtained from their respective host countries stock exchanges, and other information on institutional websites (e.g: OPEC - Organization of the Petroleum Exporting Countries). As theoretical support, CAPM and APT metrics were applied between from January 2, 2015, to March 31, 2021.&#x0D; Results: Considering the privileged position of the fuel sector for the movement of the level of economic activity of the countries, the result of this research confirmed that the particularity of the Brazilian scenario is observed in other countries with regard to the high level of explanation of the return of the superior market portfolio at 50%. The research observed that the Explanation Coefficient tends to capture in a more significant way the effects of crises that come from local economic contexts and impacts on the world economy, such as a possible reduction in the level of gross domestic product of countries such as the United States or China. As for the unexpected event, such as Covid-19, the model, in principle, did not present the same result, which could be observed in the quarterly analyses.&#x0D; Contributions of the Study: Research can help managers and investors, as by demonstrating similarities one can predict future events or assist in decision-making.

ДОСЛІДЖЕННЯ ВІДМІННОСТЕЙ У РІВНІ ІНКЛЮЗИВНОГО РОЗВИТКУ КРАЇН ЦЕНТРАЛЬНОЇ ТА СХІДНОЇ ЄВРОПИ

Using modern tools – the analytical platform Deductor – the method of data clustering analyzed socio-economic differences between the countries of Central and Eastern Europe in terms of their inclusive development. Attention is drawn to the fact that the Inclusive Development Index (IDI) in our time is promoted as an adjunct and even a substitute for the indicator Gross Domestic Product (GDP). According to the results of modeling by the Kohonen map method, sixteen countries of Central and Eastern Europe (including Ukraine) were involved in the study, which, on the basis of intellectual data processing, were grouped into three clusters based on the analysis of twelve X1...X12 indicators selected to characterize inclusive development. For each of the clusters, the characteristics of inclusive development for those countries included in the corresponding cluster were identified and analyzed. The cluster with the conditional number "0" includes 6 countries (Estonia, Lithuania, Hungary, Latvia, Poland and Croatia), which have relatively high indicators of the economic and environmental component of inclusive development, but relatively low standards of the social component of inclusive development. In addition to Poland, these countries have a relatively small population. All countries in cluster "0" are faced with demographic challenges, such as a decrease in the birth rate and an increase in the average age of the population. This cluster "0" includes Estonia - a country that belongs to developed countries when calculating the of Inclusive Development Index, despite the fact that the remaining countries in this cluster belong to developing countries. The cluster with the conditional number "1" includes countries (the Czech Republic, Slovenia and the Slovak Republic) that have a relatively high level of GDP per capita and a high level of labor productivity, that is, they have relatively high indicators of the economic component of inclusive development. These countries also observe relatively high standards of the social component and the environmental component of inclusive development. The cluster with the conditional number "2" includes countries (Romania, Bulgaria, Macedonia, Albania, Moldova, Serbia and Ukraine), which are characterized by low GDP per capita and low median household income, that is, these countries have low indicators of the economic component of inclusive development. These countries also observe relatively low standards of the social and environmental component of inclusive development.

Unraveling the Complex Interplay of Sustainability, Investments, and Economic Indicators

The concept of sustainability, both in strong and weak forms, has been evaluated through methodologies like the Human Development Index and the Index of Sustainability Development. While the strong form emphasizes the irreplaceable nature of natural capital, the weak form has been often critiqued for its operational ambiguity, even amidst international conservation agreements. Meanwhile, the seventeen Sustainable Development Goals have been grouped into categories based on their influence being positive or negative. Multinational companies’ investments, both internal and external, play a vital role in balancing competitiveness and addressing externalities in various host communities. This research primarily focuses on understanding the intricate relationship between human development, concentration indices, sustainable development, investment, and gross domestic product (GDP). In this research, we use an econometric methodology based on maximum likelihood estimation to control for heteroskedasticity effects of the proposed models. The main results indicate that factors such as the level of industrial concentration, human development, and GDP have a significant impact on the sustainability indices of the countries of the research.

Risk exploration and prediction model construction for linezolid-resistant Enterococcus faecalis based on big data in a province in southern China

BackgroundEnterococcus faecalis is a common cause of healthcare-associated infections. Its resistance to linezolid, the antibiotic of last resort for vancomycin-resistant enterococci, has become a growing threat in healthcare settings.MethodsWe analyzed the data of E. faecalis isolates from 26 medical institutions between 2018 and 2020 and performed univariate and multivariate logistic regression analyses to determine the independent predictors for linezolid-resistant E. faecalis (LREFs). Then, we used the artificial neural network (ANN) and logistic regression (LR) to build a prediction model for linezolid resistance and performed a performance evaluation and comparison.ResultsOf 12,089 E. faecalis strains, 755 (6.25%) were resistant to linezolid. Among vancomycin-resistant E. faecalis, the linezolid-resistant rate was 24.44%, higher than that of vancomycin-susceptible E. faecalis (p < 0.0001). Univariate and multivariate regression analyses showed that gender, age, specimen type, length of stay before culture, season, region, GDP (gross domestic product), number of beds, and hospital level were predictors of linezolid resistance. Both the ANN and LR models constructed in the study performed well in predicting linezolid resistance in E. faecalis, with AUCs of 0.754 and 0.741 in the validation set, respectively. However, synthetic minority oversampling technique (SMOTE) did not improve the prediction ability of the models.ConclusionE. faecalis linezolid-resistant rates varied by specimen site, geographic region, GDP level, facility level, and the number of beds. At the same time, community-acquired E. faecalis with linezolid resistance should be monitored closely. We can use the prediction model to guide clinical medication and take timely prevention and control measures.

Exploring the Impact of CO2 Emissions, GDP, and Health Expenditure on Individual Life Expectancy

Understanding the link between a person's health spending and their Gross Domestic Product (GDP) can have important effects on policy decisions at both the individual and national level. The research mainly explores the impact of individual CO2 emissions, GDP, and health expenditure on individual life expectancy. The study, through a method of quantitative data analysis, analyses existing data and explores the relationships between independent variables and dependent variables. The author uses the decision tree model and a linear regression model to predict the impact of these factors on life expectancy. The study aims to understand the trends and patterns in the distribution and outliers of individual GDP/CO2 Emissions/Life Expectancy/Health Expenditure datasets across 261 countries from 2000 to 2019. The research finds that individual health expenditure has a positive impact on individual life expectancy, while GDP level and CO2 emissions have a negative impact. The study also explores the greatest impact of these independent variables on an individual's life expectancy and how changing the maximum depth of the decision tree affects model accuracy and feature importance. Overall, the study provides insights into the relationships between these variables and their impact on individual life expectancy, which has important implications for policy and interventions aimed at promoting public health and environmental sustainability.

Tobacco Prevalence and Economic Growth: Evidence from Low and Lower-Middle-Income Countries

ABSTRACT: The economic costs of tobacco use are substantial particularly in developing countries. While much has been written on healthcare costs from tobacco use related diseases, little is known on the macro-economic impacts of tobacco-related productivity loss. The objective of the current research is to understand the macroeconomic burden of tobacco use in developing countries. Using World Bank's development indicators database for 44 low-and lower-middle-income countries, most of which are African, this paper assesses the relationship between tobacco consumption and economic growth. Specifically, using the fixed effect regression approach, we examined whether tobacco prevalence affects long-run growth rate in the real gross domestic product (GDP) per capita. We adopted an empirical framework from the growth literature by including the national tobacco prevalence rate as one of the determinants of long-run growth in the real GDP per capita. The tobacco prevalence rate varies across countries ranging from 5% in Ethiopia to almost 50% in Myanmar. The prevalence rate is much higher among males than females in almost all countries, with Myanmar males having above 70%. The regression results indicate the existence of a statistically significant negative relationship between the prevalence of tobacco and economic growth after controlling for other determinants of growth, including the initial level of GDP per capita, gross fixed capital formation, trade, resource revenues, institutional quality, a human capital indicator, and infrastructure capacity. A 1% increase in the total tobacco prevalence rate reduces the economic growth rate by almost 2%, all else equal. These findings are robust even after running separate models for male and female tobacco prevalence rates. The results on the other determinants of growth are consistent with the previous empirical studies on economic growth in the context of developing countries. The findings of this study provide additional support to the existing body of empirical economic research on the role of better health, as a form of human capital, in increasing economic output. Thus, actively targeting tobacco control interventions, both in and outside of the workplace, can likely improve workers' productivity and hence economic growth.

Investigating environmental policy stringency in OECD countries: implications for the Arab world

PurposeAs the world began to witness an unprecedented rate of environmental destruction, economists and international institutions have been toiling away for decades, making every effort to dissect the dynamics of the relationship between the environment and the economy. Many claims have preached that there is a trade-off between environmental wellbeing and economic prosperity, where economic growth would be hindered by environmental protection. As we continue to neglect nature, will the world be capable of maintaining infinitely growing economies without falling into a deficit of natural resources? The foundation of all forms of economic growth springs from nature. Therefore, this study aims to explore the true impact of environmental protection policies on economic performance, and claims that well-designated environmental policies would only strengthen economies.Design/methodology/approachThis study aims to investigate the impact of environmental protection policies on gross domestic product (GDP) growth utilizing a selected sample of 18 OECD countries. Fixed effects panel regression was conducted for the sample from 1998 to 2015.FindingsFindings suggest that an increase in the environmental protection stringency is associated with an increase in GDP in the long-run. Whereas in the short run, more stringent environmental policies have been shown to have a questionable impact on GDP, brought to light by the mixed results portrayed in the short-run data.Research limitations/implicationsWhile it is true that this study has utilized data from the The Organisation for Economic Co-operation and Development (OECD), the findings could be applicable to countries of the MENA region. This is due to the fact that GDP levels of OECD countries and Middle East and North African (MENA) countries have been converging over the past few decades. The convergence suggests that both regions seem to be following similar trends since the year 1990, with an increasing similarity in trend over the years.Originality/valueThis paper empirically proves that the protection of nature is necessary for the sustenance of long-term economic growth. This study also provides an approximate time range of when the economic gains of environmental protection would be realized, specifically in the beginning of a green growth transition. This makes the study findings accurately relevant to Arab countries, where providing a time range is necessary to alleviate some the uncertainty of policymakers in the MENA region towards environmental policies.

Water as driver of economic capacity: Introducing a physical economic model

Ecological economics has long affirmed that all economic activity takes place within a context of physical, ecological, and biological systems we commonly refer to as ‘the environment’. As a subsystem of the environment, the economy cannot escape the rules and behaviors of the systems that form its context. This places constraints on the rate at which inputs can be extracted and transformed into outputs of useful goods and services, and on the rate at which the emission and waste by-products of economic activity can be processed and absorbed. Extracting resources and releasing emissions and waste in excess of the processing capacities of the environment will result in growing pressures on resourcing and sink capacities and ultimately impair the capacity of the economic subsystem itself. We examine the hydrological cycle as an empirical example of the constraints a physical/environmental context system places on the economic capacity of five countries with different economic characteristics: China, Germany, India, Russia, and the United States. By calculating the amount of energy available for freshwater evaporation and the allocation of freshwater to domestic, industrial, and agricultural uses, we replicate the Gross Domestic Product (GDP) of the five countries with our calculated GDP levels ranging from 93 to 99% of the reported levels. Our findings suggest four important lessons: (1) the hydrological cycle impacts the capacity of economies with different characteristics; (2) the processing capacity of nature is considerably more efficient than available technological substitutions; (3) the non-use of water, and possibly of other resources, is as valuable (or more) as its use; and (4) price policies can be effective in steering resource use and non-use in the right direction by incentivizing higher savings in available freshwater rather than incentivizing its efficient use. Our findings encourage further research on the capacity implications of other critical physical cycles (i.e. the carbon and nitrogen cycle) captured in the ecosystems category ‘supporting ecosystem services’.

Energy Intensity, Energy Efficiency and Economic Growth among OECD Nations from 2000 to 2019

This study examines the energy intensity (EI), energy efficiency (EE), and economic growth, measured by the type of returns to scale (RTS), of 37 nations in the Organization for Economic Co-operation and Development (OECD) from 2000 to 2019. We apply a non-parametric approach to estimate the three measures from their consumption of four primary energy sources, such as coal, gas, oil, and zero emission (e.g., renewable and nuclear power) as inputs and gross domestic product (GDP) as an output. In this study, we have the two types of efficiency measures over time: window-based and cross-sectional-based measures. Three findings are identified from our empirical study. First, the operationally efficient group, including France, Iceland, Japan, Switzerland, UK, and USA, presented a stable status of full efficiency in the window-based efficiency measure. Iceland and Switzerland were also in the higher efficiency group based on the cross-sectional measure. Their efficiencies were high and stable over the observed periods. Second, zero-carbon-emission (e.g., renewable and nuclear) energies outperformed other energy sources (coal, gas, and oil) in terms of a potentiality of EI/EE improvement. In other words, OECD nations can improve on their EI/EE measures by reducing fuel consumption of coal, gas, and oil while maintaining their high GDP levels. Finally, four industrial nations (France, Japan, UK, and USA) had a status of unity in their EI/EE measures for zero-carbon-emission energies with decreasing RTS. These nations would increase zero-carbon emission for energy consumption to increase GDP while keeping optimal EI/EE because such changes in consumption would not largely affect EI/EE due to their constant RTS status. Iceland showed increasing RTS. The nation may improve the EI level by increasing zero-carbon-emission energy consumption and economic size. The four nations can increase zero-emission energy consumption to achieve further economic growth without observing a large deterioration of EI/EE because it is very close to constant RTS. The examination of RTS provides policy directions for the improvement of EI and EE. Switzerland showed decreasing RTS and may deteriorate the EI/EE by increasing energy consumption and the size of each economy. The remaining countries, whose degree of EI/EE measures was less than unity, showed increasing or decreasing RTS. The examination of RTS provides important implications for energy policy to enhance the degree of EI/ EE.

Changes in the Association between GDP and Night-Time Lights during the COVID-19 Pandemic: A Subnational-Level Analysis for the US

Night-time light (NTL) data have been widely used as a remote proxy for the economic performance of regions. The use of these data is more advantageous than the traditional census approach is due to its timeliness, low cost, and comparability between regions and countries. Several recent studies have explored monthly NTL composites produced by the Visible Infrared Imaging Radiometer Suite (VIIRS) and revealed a dimming of the light in some countries during the national lockdowns due to the COVID-19 pandemic. Here, we explicitly tested the extent to which the observed decrease in the amount of NTL is associated with the economic recession at the subnational level. Specifically, we explore how the association between Gross Domestic Product (GDP) and the amount of NTL is modulated by the pandemic and whether NTL data can still serve as a sufficiently reliable proxy for the economic performance of regions even during stressful pandemic periods. For this reason, we use the states of the US and quarterly periods within 2014–2021 as a case study. We start with building a linear mixed effects model linking the state-level quarterly GDPs with the corresponding pre-processed NTL data, additionally controlling only for a long-term trends and seasonal fluctuations. We intentionally do not include other socio-economic predictors, such as population density and structure, in the model, aiming to observe the ‘pure’ explanatory potential of NTL. As it is built only for the pre-COVID-19 period, this model demonstrates a rather good performance, with R2 = 0.60, while its extension across the whole period (2014–2021) leads to a considerable worsening of this (R2 = 0.42), suggesting that not accounting for the COVID-19 phenomenon substantially weakens the ‘natural’ GDP–NTL association. At the same time, the model’s enrichment with COVID-19 dummies restores the model fit to R2 = 0.62. As a plausible application, we estimated the state-level economic losses by comparing actual GDPs in the pandemic period with the corresponding predictions generated by the pre-COVID-19 model. The states’ vulnerability to the crisis varied from ~8 to ~18% (measured as a fraction of the pre-pandemic GDP level in the 4th quarter of 2019), with the largest losses being observed in states with a relatively low pre-pandemic GDP per capita, a low number of remote jobs, and a higher minority ratio.

Financial and Economic Stability of Energy Sector Enterprises as a Condition for Poland’s Energy Security—Legal and Economic Aspects

The energy security of each country is one of the main factors of its proper functioning. Currently, in the era of problems related to energy security resulting from, among other things, the war in Ukraine, this topic is particularly important. This article presents issues related to Poland’s energy security, understood as the financial and economic stability of enterprises operating in the energy industry. This stability is considered in two aspects: macroeconomic, where the focus is mainly on the aspect of state intervention in market processes; and microeconomic, where factors determining the financial security of energy enterprises were identified, including internal and external factors affecting the functioning of these entities. In order to achieve the assumed research goals, the analysis of the indicated problems was based on non-reactive research, consisting in the assessment of the available information. It included studies of normative acts, official statistical data, industry reports and analyses, as well as data obtained in the form of a public information request. Two basic research methods were used in the work—dogmatic–legal and comparative analyses. The identification of factors affecting the security of companies in the sector was carried out on the basis of data on the entire energy sector in Poland for the years 2015–2021 on a semi-annual basis. Vector-autoregressive models were used for the analysis. As a result of the analyses, it was established that market failures and public safety are the premises justifying the public financing of enterprises in the electricity generation, transmission, distribution and trade sectors. At the same time, the conducted research showed that the level of financial security of energy enterprises in Poland was affected by the ratio of the value of goods and materials sold to net sales revenue, as well as the level of EBIT (earnings before deducting interest and taxes) margin, and among external factors, the level of GDP (gross domestic product), CPI (consumer price index) and Crude Oil were important.

Insomnia, Daytime Sleepiness, and Quality of Life among 20,139 College Students in 60 Countries around the World-A 2016-2021 Study.

Sleep disorders are a widespread phenomenon, and the number of individuals suffering from them is increasing every year, especially among young adults. Currently, the literature lacks studies that cover both countries with different levels of development and a period before the announcement of the ongoing COVID-19 pandemic. Therefore, this study aims to globally assess the prevalence of insomnia and daytime sleepiness among students and assess their quality of life. For this purpose, our own questionnaire was distributed online via Facebook.com. In addition to the questions that assessed socioeconomic status, the survey included psychometric tools, such as the Athens insomnia scale (AIS), the Epworth sleepiness scale (ESS), and the Manchester short assessment of the quality of life (MANSA). The survey distribution period covered 31 January 2016 to 30 April 2021. The survey involved 20,139 students from 60 countries around the world. The vast majority of the students were women (78.2%) and also those residing in countries with very high levels of development and/or high GDP (gross domestic product) per capita at 90.4% and 87.9%, respectively. More than half (50.6%) of the respondents (10,187) took the survey before the COVID-19 pandemic was announced. In the group analyzed, 11,597 (57.6%) students obtained a score indicative of insomnia and 5442 (27.0%) a score indicative of daytime sleepiness. Women, low-income residents, and nonmedical students were significantly more likely to have scores indicating the presence of insomnia. Individuals experiencing both sleepiness (B = -3.142; p &lt; 0.001) and daytime sleepiness (B = -1.331; p &lt; 0.001) rated their quality of life significantly lower. Insomnia and excessive daytime sleepiness are common conditions among students worldwide and are closely related. The COVID-19 pandemic significantly altered students' diurnal rhythms, which contributed to an increase in insomnia. Students in countries with a high GDP per capita index are significantly less likely to develop insomnia compared to the residents of countries with a low GDP per capita index. Sleep disorders definitely reduce the quality of life of students.

The role of SMEs’ resilience capabilities in response to COVID-19 era: Evidence from Kazakhstan and Mongolia

In many low and middle-income countries, small and medium-sized enterprises (SMEs) play an important role in providing employment, increasing the level of gross domestic product and export share, and in alleviating poverty and inequality. Therefore, governments and international donor organizations take action to diversify and provide access to sustainable financial means for SMEs and support them in many ways. The sudden outbreak of COVID-19 has impacted all-sized enterprises including micro, SMEs, large enterprises, and MNEs negatively, especially in the least developed and developing countries. This is because micro-sized and SMEs were more vulnerable to the pandemic due to their limited financial resources and low resilience capability. Resilience capabilities and innovative characteristics are crucial for SMEs to survive and to respond quickly to sudden phenomena unpredictable in advance. Big enterprises with financial and other resilience capabilities typically address and solve any issue in a timely manner. Even if the theoretical framework of the enterprises’ resilience is well-grounded and studied extensively, most literature in the field mainly focuses on large entities, and only few have explored SMEs. Thus, this study can significantly contribute to practical and theoretical knowledge, especially for SMEs in landlocked countries such as Mongolia and Kazakhstan. This research helped to develop recommendations that are helpful for SMEs to survive during potential threats such as COVID-19, natural disasters, extreme weather conditions (EWCs), and economic recessions.

Особливості інституціонального забезпечення територіальної організації господарства України в повоєнний період

The article analyzes the structure of institutional provision of the territorial organization of the economic management of Ukraine. The peculiarities of exercising their powers by territorial communities and regional authorities in the context of military aggression are allocated. The regulatory and legal provision for the activities of local self-government bodies under martial law is analyzed. The composition of the institutional provision of the territorial organization of the economic management of Ukraine is studied. The main problems faced by territorial communities in different regions after the russian full-scale invasion are identified. It is determined that during the period of hostilities, the majority of the population of the occupied and frontline regions were forced to temporarily change their place of residence both within the country or go abroad. During the period of hostilities, there was a significant decrease in the level of gross domestic product and sales of industrial products, which negatively affected the economic situation of the State. Such tendencies are explained by the temporary occupation of industrial regions and the destruction of industrial facilities. The activities of national and regional authorities in promoting economic development and social support of the population during active hostilities are studied. It is substantiated that for the full recovery of the destroyed territories, it is necessary to create appropriate conditions at the institutional level, which would contribute to ensuring transparency, openness, and effectiveness of the implemented measures. It is determined that the recovery measures are not being implemented in full due to the security situation in many areas. The main problem is a large amount of mined territory, which poses a threat to the lives of the population, so neither the housing stock nor industrial facilities can be restored in such areas until they are completely de-mined. The general directions of development of institutional provision for the territorial organization of the economic management in the conditions of post-war recovery of the country are allocated. It is substantiated that the attraction of international grants, support of international funds and programs for the development of small and medium-sized enterprises helps to develop such entrepreneurship in the western regions of the country, since internally displaced persons were able to open enterprises there, thereby assisting the region’s economy and providing the social component.