The aim of the research is an analysis of the influence of the economic indicators on the socio-economic development of EU countries. The synthetic measure of socio-economic development is calculated by means of the following determinants: ‘Economy and Finance’, ‘Science and Technology’, ‘Health’, ‘Education’ and ‘Living Conditions’. This index of the socio-economic development of residents of the European Union countries has been created as an arithmetic mean of indicators, counted for particular determinants. The index, which has been created, is treated as a modified Human Development Index due to the fact that it is completed with the added information. The data has been collected from the Eurostat for the years 2006–2016. In the second part of the research there have been developed the models for the synthetic measure of socio-economic development in terms of particular economic indicator, used in the analysis, as well as the analysis of the relationship between the synthetic measure of socio-economic development in EU countries, and the selected economic measures: unemployment rate, GDP per capita, indicator of real expenditure per capita, and the percentage of people at risk of poverty. The results are obtained, using the Statistica 12 program.

Objective: The aim of this publication is to analyze the value of the number of new cases and deaths from COVID-19 in selected European Union countries: Poland, France and Belgium.Research Design & Methods: Data were collected from the on-line database: https://covid.ourworldindata.org/ data/owid-covid-data.xlsx, which demonstrate the daily number of new cases and deaths due to the COVID-19 pandemic. The forecast was based on a linear trend function and a 7-period moving average, using Statistica 13 software.Findings: The test results facilitated an evaluation of the diversity in the number of cases and the number of deaths in the assessed countries. Implications & Recommendations: From the obtained results, it can be concluded that the pandemic caused by the SARS-CoV-2 virus will end in 2021, about a year after the first case that appeared in Europe, provided that the vaccines are also effective against the mutated form of the virus.Implications & Recommendations: Based on the results obtained by China, where the pandemic ended after a year, it can be assumed that EU countries will also win the fight against Covid-19 at a similar time provided that the vaccines are also effective against the mutated forms of the virus. This is indicated by the results of research obtained in this paper. However, it should be remembered that the pandemic is unpredictable and it is difficult to predict the values of variables for a longer period of time.Contribution & Value Added: The article indicates the methods of combating Covid-19 in selected countries of the European Union.

Production and consumption are both monitored in the context of progress toward a circular economy and sustainable development. In each case, the number and types of the implemented indicators are different. Thus, it is reasonable to ask about the comparability of information produced by two composite measures for equivalent research subjects: production and consumption. This is a thematic area of the EU Action Plan for the Circular Economy, as well as for responsible consumption and production, which is the 12th goal of the UN Agenda 2030. To scrutinize this problem in the European Union, this research aims to test statistically the similarity between the production and consumption composite indicators (based on Circular Economy Action Plan measures), and the responsible consumption and production composite indicators (based on the UN Agenda 2030 measures). The thesis that the application of the composite indicators generates significantly different results is not proved.

By 2050, Europe will become the first climate-neutral continent according to the vision of the European Union (EU). To tackle this challenge, the EU has scheduled the accomplishment of the 17 goals of the United Nations’s 2030 Agenda, with Goal 7 addressing the energy sector. The role of public policies is fundamental in this case; however, it is insufficient in some areas, e.g., when adopting green energy technologies. The purpose of this article is to identify the economic factors that are necessary to achieve Goal 7 of Agenda 2030. To realize the aim of this study and identify economic factors that are significant for implementing the targets of Goal 7 of the 2030 Agenda, two statistical methods were used: the Pearson linear correlation coefficient and linear regression modeling with a scatter plot to present the relationships. The results of this study confirm that in the EU, the possibility of achieving Goal 7 is dependent on the three economic determinants analyzed, i.e., GDP per capita, unemployment rate, and gross domestic spending on research and development. The analysis revealed that the impact of single economic factors on the realization of all SDG 7 targets is small because no economic factor correlates with even half of SDG 7 indicators.

The aim of the article is an attempt to assess the impact of women’s occupational activity on the tendency to take up informal employment as an element of human capital management. The paper attempts to assess the relationship between the unemployment rate and the employment rate and the share of informal work in GDP. Methodology: The implementation of the objective required the use of statistical methods, in particular, linear regression methods. Results: The publication describes the nature of informal employment, the level of professional activity of women in the selected European Union countries in 2017. Based on statistical data, an attempt was made to assess the impact of professional activity among women on non-formal work based on the linear regression method.