The purpose of this publication is to examine the determinants of socioeconomic development of the European Union member states and to rank order the analysed countries by the value of synthetic index of wellbeing. The study implements a framework modelled after the Human Development Index to obtain a customized synthetic measure of the standard of living. The proposed index accounts for a rich set of variables related to the performance of economy, science and technology, health, education and living conditions. The data for empirical analysis are drawn upon the Eurostat databases and cover years 2006 through 2016. The analysis presented in this study is intended to advance the efforts to adjust the traditional measures of development so that they better reflect the contemporary challenges faced by diverse societies.
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.
The aim of the article is to analyze the level of security within Polish society using data on crime rates collected from the Local Data Bank of the Polish Central Statistical Office. The data were collected for the 2017 year for individual provinces of Poland. In the second part of the article the model of progressive stepwise regression was constructed for the overall crime rate, where the independent variables were: the criminal crime rate per 1000 residents, the rate of economic crimes per 1000 residents, the road crimes' rate per 1000 residents, the crime rate against life and health per 1000 residents, the property crime rate per 1000 residents and the rate of crimes against freedom, freedom of conscience and religion, sexual freedom and morals per 1000 residents, the rate of crimes against family and care per 1000 residents. Further analysis has been carried out to determine the relationship between the crime rates and the selected economic measures, i.e., unemployment rates, GDP per capita and investment expenditures per capita. The results were obtained using the Statistica 12 program. It was concluded that the indicators affecting the overall crime rates were: the criminal crime rate per 1000 residents and the rate of economic crimes per 1000 residents. Correlation obtained for the variables under investigation shows that a statistically significant relationship was obtained only in the case of two variables-the overall crime rate and the capital expenditures per capita.
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.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.