APPLICATION OF CLUSTER ANALYSIS METHOD ON SELECTED INDICATORS OF TOURISM

Tourism has considerable impact on the economic level of regions in all countries. The article points out the fusion of regions of the Central and Eastern Europe into clusters according to selected indicators of tourism using multidimensional statistical methods for classification. Moreover, differences between the clusters are defined

SIGNS OF ECONOMIC RECESSION ON THE SLOVAK MARKET

In 2009, Slovakia was also affected by the economic crisis. Its effects were recorded, among others, on the Slovak market. In this article we will focus on various manifestations of remittance. In 2009, the research of consumer behaviour was undertaken. Similar research was carried out in the past and therefore we can compare the values of these researches. In addition to this research we will use other statistical data published by statistical offices to identify the signs of economic recession. To check the significance we will use such statistical methods as a method of ANOVA, t-tests, correlation analysis and regression analysis

Optimizing of the Balanced Scorecard method for management of mining companies with the use of factor analysis

The managers of information age companies cannot rely merely on data derived from past activities of the company and focus on improving existing processes. They need a frame for measuring values that result from strategic goals of the company, a tool, which is focusing on obtaining information about company's current success, as well as finding new driving forces to ensure the future competitiveness of the company. Strategic business performance measurement system the Balanced Scorecard (BSC) is a suitable tool for improving the competitiveness of industrial companies. During its implementation, however, there is a conflict of perception of the importance of individual goals and measurable characteristics in partial perspectives of the BSC and its actual enforcement of the various strategic objectives in companies. The aim of this article is to verify the accuracy of BSC settings in an environment of selected companies in the Moravian-Silesian region with the emphasis placed on mining companies with the help of multidimensional statistics - factor analysis. The research took place in 2015 in cooperation with managers from the Moravian-Silesian Region (MSR), and it was divided into two kinds of research - quantitative and qualitative.Web of Science22444743

Quality of Life Regional Differences: Case of Self-Governing Regions of Slovakia

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Determinants of Environmental Efficiency of the EU Countries Using Two-Step DEA Approach

The article discusses the environmental efficiency of the countries of the European Union and its main objective is to verify models that could be used to explain changes in efficiency in selected countries and to add to the contributions of other authors. Two-step Data Envelopment Analysis (DEA) has been used, which is a suitable method for verifying the statistical significance of environmental variables. Two DEA models—CCR and BCC—were used and efficiencies have undergone a double-bootstrap procedure. As input variables, three emission per capita indices were computed to single output GDP per capita. Three truncated regression models have been proposed. Results have shown that the model with drivers of climate change and variables connected to socio-economic factors is the most relevant and significant. There are common variables, whose improvement increases the efficiencies in all European Union countries, but there are also indices which have to be considered in individual/subgroup policies and implications, such as environmental taxes, waste management, resources productivity, and transport of goods management

Digital Competences of Polish and Slovak Students—Comparative Analysis in the Light of Empirical Research

Skills in using information and communication technology solutions in the modern world determine the quality of professional and social life for everyone. The last decade has shown that digital competences are an important group of key competences for every employee and every organization. The purpose of this study is to present results of surveys on digital competences of Polish and Slovak students. Generally, results show that assessment of the level of digital competence of Polish students is not only higher but also less diverse. The rationale for addressing the subject of digital competences is its significance, constant changes resulting from development of ICT and the need to improve quality of life of individuals and organizations in the modern digital world. In this questionnaire, the students were asked to evaluate their level of understanding both existing and non-existing terms from the ICT area. The results have shown that there are significant differences between the questioned groups of students especially in case of IT competences

Characterization of Cu(II) and Zn(II) Sorption onto Zeolite

In this study, a batch sorption study approach was combined with an instrumental analytical approach of atomic absorption spectroscopy, X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) for the sorption of copper and zinc ions from aqueous solution on zeolites. Both copper and zinc are biogenic elements; nevertheless, many industrial processes produce an excessive amount, which is why their efficient removal from water must be studied. Two types of zeolites, Zeolite Micro 20 (Z-M20) and Zeolite Micro 50 (Z-M50), were used. The results showed that the maximum sorption capacities for removal of Cu and Zn were 1.06 for CuSO4, 42.35 for Cu(NO3)2, 1.15 for ZnSO4 and 2.29 for Zn(NO3)2 adsorption onto Z-M20 and 0.45 for CuSO4, 1.67 for Cu(NO3)2, 0.39 for ZnSO4 and 1.51 for Zn(NO3)2 adsorption onto Z-M50. The maximum sorption capacities are higher for sulfates and the sorbent with smaller particle size. The sorption capacities of Cu and Zn for corresponding anion and particle size differ only up to 5–15%. Using XRD and XPS analyses before and after the sorption process, it was found that the content of both Cu and Zn in the surface layer and the bulk are the same for sorption onto sorbent with smaller particle size, but are higher in the surface layer than in the bulk for sorption onto sorbent with larger particle size. One of the main findings of this study is that a zeolite with smaller particles takes Cu and Zn by the whole particle, while with bigger particles, Cu and Zn concentrate in the surface of the particle. The results of the study may be used as an indicator for sorption efficiency of the studied zeolites for their application in the treatment of copper and zinc contaminated effluents