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The paper investigates the relationships between economic, social, and environmental dimensions of sustainable development. GDP growth represents the main economic dimension, greenhouse gas (GHG) emissions and renewable energy consumption the environmental dimension, and corruption the social dimension of sustainable development. The investigation of these relationships is based on the concept of the Environmental Kuznets Curve hypothesis about the non-linear relationship between economic growth and environmental pollution. The authors used the panel data of EU countries and Ukraine for 2000–2016 years from the Eurostat database. The obtained results confirmed the Environmental Kuznets curve hypothesis for the EU and Ukraine. All the indicators were statistically significant at 1% and 5% levels. The findings proved that increasing renewable energy (RE) by 1% led to a decline of GHG in the interval (0.166103, 0.220551), and аn increase of the Control of Corruption Index by 1% provoked a decline of GHG by 0.88%. The conducted study enabled the authors to conclude that Ukraine needs to increase the GDP level per capita given the economy diversification and via the introduction of more effective and “clean” production technologies.

The paper analyses the linkages between GDP per capita, greenhouse gas (GHG) emissions, and renewable energy (RE) in the total final energy consumption and green investments (PICE) which are measured as private investments, jobs, and gross value added related to circular economy sectors. The object of the analysis is the EU countries during the 2008-2016 period (crisis and post-crisis period). In the paper, data from the following databases was used: the Eurostat, the World Data Bank, and the European Environmental Agency. For addressing the linkages between the aforementioned indicators, the following methods were applied: panel unit root test, Pedroni panel cointegration tests, and the fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) panel cointegration techniques. The findings show that FMOLS and DOLS demonstrate the same results as GHG, PICE, RE influence on GDP of the EU countries. The findings prove there is linking between gross domestic product per capita, greenhouse gas emissions, renewable energy in the total final energy consumption and green investments. The findings also show that green investment (PICE) could provoke the growth of GDP per capita by 6.4%, the decline of GHG by 3.08%, and the increase of renewable energy in the total final energy consumption by 5.6%.

This paper investigates the impact of renewable energy sources (RESs), CO2 emissions, macroeconomics, and the political stability in a country on the Gross Domestic Product (GDP). The authors analyse the dynamics of RESs use, CO2 emissions, and GDP development and also test the following hypotheses: (1) The country’s economic growth is related to the energy consumption, in terms of both human resources and capital; (2) the share of the renewable energy consumption of the total energy consumption has a positive impact on the economic growth; and (3) the share of the renewable energy consumption of the total energy consumption is unrelated to the economic growth. To test the above hypotheses, the authors use the modified Cobb-Douglas production function, which also considers RES production volumes, CO2 emissions, and economic growth. The study employs data between 1995 to 2015 from the candidate and potential candidate countries for the EU membership. The data are drawn from the World Bank and Eurostat. The analyses entail panel unit root tests, Pedroni panel cointegration tests, fully modified OLS (FMOLS), dynamic OLS (DOLS) panel cointegration techniques, and the Vector Error Correction model (VECM). The findings confirm the relationship between RESs, CO2 emissions, and the GDP. For the EU countries, RESs as human resources and capital have an impact on the GDP. Moreover, the results reveal a correction retraction when the economic growth leads to an increase in renewable energy consumption. The investigation also finds that candidate and potential candidate countries for the EU membership should foster renewable energy development. The authors conclude that developing affordable and effective instruments and mechanisms to boost the RES implementation is necessary to decrease the anthropogenic impact on the environment (in particular, decreasing CO2 emissions) without any attendant reduction in the economic growth.

Although there is a growing number of scientific publications on financial monitoring, combating money laundering, the shadow economy, and the impact of corruption on economic development, further research needs to determine the stability of the national financial system in dynamics. The dynamic stability of the national financial monitoring system subjects will allow to adequately assess the effectiveness of the existing national financial monitoring system in each country and determine the influential factors. The article investigates an approach to identifying the dynamic stability of the national financial monitoring system subjects based on the calculation of the integrated indicator of the country's financial system propensity to ALM, vector autoregression (VAR) model taking into account time lag. The proposed integrated indicator allowed to adequately assess the existing financial monitoring systems of the countries (15 countries of the European Union for 2000-2020: Austria, Belgium, Cyprus, Estonia, Finland, France, Greece, Ireland, Italy, Latvia, Malta, Netherlands, Portugal, Slovak Republic, Spain). In addition, vector autoregression models (VAR) of the dependence of the country's financial system propensity to ALM on the regressors Government Integrity, Index of economic freedom, Monetary Sector credit to the private sector (% GDP), were built, taking into account time lags in general and for each studied country. According to the modeling results, the national financial monitoring systems in Austria, Belgium, Estonia, Finland, France, Ireland, Netherlands, Slovak Republic, Spain were resistant to money laundering. It is vice versa in Malta, Greece, Cyprus, Portugal, Italy, Latvia. These conclusions are also confirmed based on a binary approach. Such exogenous variables as Government Integrity (with a lag of 2 years) and the Index of economic freedom (taking into account the time delays of the regression reflection under the influence of this regressor for 1 and 2 years) have a statistically significant effect on the country's financial system. The general vector autoregression (VAR) model shows that the current value of the country's financial system propensity to ALM by 92.78% is determined by its previous value. With an increase of Government Integrity by 1%, the country's financial system's propensity to ALM will decrease by 0.000616 units with a lag of two years. The nature of the impact made by the Index of economic freedom on the performance feature was specific-when this indicator increases by 1% for a lag delay in one year, the PFSALM value will decrease by 0.001997 units, and for a lag delay of two years it will change the trend and increase by 0.003076 units per unit, respectively.

In practice, there is a massive time lag between data loss and its cause identification. The existing techniques perform it comprehensively, but they consume too much time, so there is a need for fast and reliable methods. The article’s purpose is to develop a rapid methodology to assess the risk of information and knowledge loss management. It provides the implementation of eight steps and combines a risk mapping method modified by assessments based on risk factors and incidents as elements from set theory and using formalization via binary estimates. The methodology includes five significant events caused by the company staff, technical problems, software, cybercriminals, viral attacks, and 66 factors influencing company incidents. As a result, a risk map of 9 groups was built for a Ukrainian enterprise. Only two groups with the minimum number of incidents and low losses are represented by all five incidents. The defined overall level of each risk group ranges from 0.14 to 0.26, which indicates a low probability of all happenings in the group. In general, the resulting map shows the existence of specific security problems of the company under investigation. The proposed assessment allows us to interpret the level of risk in the company quickly, identify weaknesses in the information security system, and predict future losses.

The links between the migration of highly skilled workers and economic growth (in terms of GNI per capita) and the competitiveness of countries have been studied. The study is based on statistics from developed countries and using correlation-regression analysis and modelling, as well as cluster analysis using the package of processing and analysis of statistical information STATISTICA. The analysis found that the immigration of workers with higher education has a significant impact on strengthening the competitiveness and economic development of countries - this is confirmed by the impact of talent migration, which is assessed by the values of case studies (The Human Flight and Brain Drain sub-index Fragile States Index and Brain gain sub-index in the Global Talent Competitiveness Index and Highly educated workers sub-index in the OECD indicators of talent attractiveness). Their impact on macroeconomic indicators is higher compared to the links with social development indicators. Of course, this does not mean that such links should not be seen as important in public economic development management, as they illustrate the level of efficiency achieved in creating favourable conditions for realizing the potential of highly skilled workers, including pull-factors for their immigration. But in the macroeconomic management of a competitive economy, according to our research, actions aimed at attracting highly skilled migrants have the most significant and obvious impact. Other links can be taken into account and used in modelling for the development of institutional support for proactive migration policy for highly qualified workers.

Drawing on the knowledge-based view and ability-based theories of emotional intelligence (EI), in this study, we investigate the effects of EI on learning outcomes related to academics and administrators in Chinese research universities and we also test the direct association between learning outcomes and creative performance. In addition, we examine the mediating role of self-directed learning (SDL) and knowledge management processes (KMPs) on the relationship between EI and learning outcomes. The sample, for this study, consisted of 547 academic and administrative personnel at Chinese higher educational institutions (HEIs), and the hypothesized associations were examined through partial least squares structural equation modeling. Our results indicated that EI has no significant influence on learning outcomes. However, an indirect relationship between EI and learning outcomes is established through SDL and KMPs. This study strengthens the professional understanding of EI and supports that the personnel at HEIs should value SDL and KMPs, which in turn enhances their learning outcomes. Although EI has received increased importance in higher education institutions, there are few studies that have investigated the relationship of EI, SDL, KMP, and learning outcomes. This is one of the initial studies that has empirically examined the interface of EI and learning outcomes in HEIs and also provides timely insights into the understanding of the mediating role of SDL and KMP.

The aim of the article is to study the relationship between vocational training costs and economic benefits at different levels of economic relations. In the structure of labour costs in the EU, there was the highest share of vocational training costs in Ireland (2.79%), Great Britain (2.53%), France (1.51%), which is reflected in the economic success of these countries. A comparison with Ukraine, which has European integration intentions, confirms that the underestimated role of investing in lifelong learning has relevant links to economic performance. This study at the enterprise level (based on the survey of 356 employees) found that higher costs of vocational training are a sign of profitable enterprises. At the same time, employees’ interest in short-term training programs is higher, which they obviously assess from the standpoint of higher personal economic benefits in the short term. At the same time, the analysis performed by means of the Fechner correlation coefficient confirms the existence of a positive impact of vocational training costs on changes in the main macroeconomic benefits indicator – GDP per capita. This allows drawing conclusions about the need to develop professional training programs for staff as one of the drivers of macroeconomic development.

The Polish economy is facing a huge challenge regarding the future of energy in Poland. The current energy system is very inefficient, it consumes huge resources that, like countries with high energy efficiency, could be allocated to the development of low-carbon and renewable energy networks. At the moment, the Polish energy sector, related to the coal monoculture, lacks electricity and the entire transmission system is obsolete. The solution may be distributed energy, which can ultimately satisfy energy supplies in less urbanized areas and in rural areas, while guaranteeing the sustainable development of these areas. In order to take up the challenge of better understanding and explaining such a complex reality, it was decided that the research framework of this article will be distributed energy in the region. The aim of the article is to ensure energy security in the conditions of innovative, ecological and open to competition regional energy using local energy resources. Currently, it is believed that distributed energy can be an effective solution to the problem of conventional energy operation.

The aim of the study was to examine the differences in the perception of the use of selected principles by CSR managers and owners of Micro, Small and Medium-sized Enterprises (MSMEs) in the V4 countries. The results of our research show that CSR strategies are most used by entrepreneurs and managers of MSMEs in Hungary, Poland and Slovakia. They are the least used in the Czech Republic. The sectoral comparison within the V4 countries highlighted interesting findings. When considering the moral and ethical implications of decision-making, no significant differences were found between the sectors. Differences were found in the perception of the CSR concept and its use in business. The CSR concept was mostly used in tourism and agriculture, to a lesser extent in construction, retail, manufacturing and services. Managers and entrepreneurs understand the link between CSR and gaining reputation and business opportunities and that CSR helps build a competitive advantage. The size of the company affects whether the company can be classified as CSR-oriented. Compared to medium-sized enterprises, micro-enterprises are 45% less likely and small enterprises are 33.5% less likely to be perceived as CSR-oriented. Compared to companies from Slovakia, companies in the Czech Republic are 41% less likely to be perceived as CSR-oriented. Hungarian companies are 70% more likely to be perceived as CSR-oriented compared to companies from Slovakia. Companies run by women are more inclined to apply CSR principles than men.